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  1. Integrating Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

  2. NEMS International Energy Module

    Gasoline and Diesel Fuel Update (EIA)

    EIA NEMS International Energy Module Model Documentation Report vii Mr. G. Daniel Butler U.S. Department of Energy EI-812 1000 Independence Ave., SW Washington, DC 20585 Tel:...

  3. International Energy Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Summarizes the overall structure of the International Energy Model and its interface with other NEMS modules, mathematical specifications of behavioral relationships, and data sources and estimation methods.

  4. Renewable Fuels Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    This report documents the objectives, analytical approach, and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it relates to the production of the Annual Energy Outlook forecasts.

  5. Residential Demand Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Model Documentation - Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

  6. Industrial Demand Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Module. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

  7. Transportation Sector Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model.

  8. National Energy Modeling System (NEMS)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. through 2030. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). NEMS can be used to analyze the effects of existing and proposed government laws and regulations related to energy production and use; the potential impact of new and advanced energy production, conversion, and consumption technologies; the impact and cost of greenhouse gas control; the impact of increased use of renewable energy sources; and the potential savings from increased efficiency of energy use; and the impact of regulations on the use of alternative or reformulated fuels. NEMS has also been used for a number of special analyses at the request of the Administration, U.S. Congress, other offices of DOE and other government agencies, who specify the scenarios and assumptions for the analysis. Modules allow analyses to be conducted in energy topic areas such as residential demand, industrial demand, electricity market, oil and gas supply, renewable fuels, etc.

  9. Macroeconomic Activity Module - NEMS Documentation

    Reports and Publications (EIA)

    2016-01-01

    Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Macroeconomic Activity Module (MAM) used to develop the Annual Energy Outlook for 2016 (AEO2016). The report catalogues and describes the module assumptions, computations, methodology, parameter estimation techniques, and mainframe source code

  10. NEMS integrating module documentation report

    SciTech Connect (OSTI)

    Not Available

    1993-12-14

    The National Energy Modeling System (NEMS) is a computer modeling system that produces a general equilibrium solution for energy supply and demand in the US energy markets. The model achieves a supply and demand balance in the end-use demand regions, defined as the nine Census Divisions, by solving for the prices of each energy type such that the quantities producers are willing to supply equal the quantities consumers wish to consume. The system reflects market economics, industry structure, and energy policies and regulations that influence market behavior. The NEMS Integrating Module is the central integrating component of a complex modeling system. As such, a thorough understanding of its role in the modeling process can only be achieved by placing it in the proper context with respect to the other modules. To that end, this document provides an overview of the complete NEMS model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

  11. Commercial Demand Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components.

  12. Coal Market Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Documents the objectives and the conceptual and methodological approach used in the development of the National Energy Modeling System's (NEMS) Coal Market Module (CMM) used to develop the Annual Energy Outlook 2014 (AEO2014). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of CMM's two submodules. These are the Coal Production Submodule (CPS) and the Coal Distribution Submodule (CDS).

  13. Macroeconomic Activity Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Macroeconomic Activity Module (MAM) used to develop the Annual Energy Outlook for 2014 (AEO2014). The report catalogues and describes the module assumptions, computations, methodology, parameter estimation techniques, and mainframe source code

  14. Obtaining lower bounds from the progressive hedging algorithm for stochastic mixed-integer programs

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Gade, Dinakar; Hackebeil, Gabriel; Ryan, Sarah M.; Watson, Jean -Paul; Wets, Roger J.-B.; Woodruff, David L.

    2016-04-02

    We present a method for computing lower bounds in the progressive hedging algorithm (PHA) for two-stage and multi-stage stochastic mixed-integer programs. Computing lower bounds in the PHA allows one to assess the quality of the solutions generated by the algorithm contemporaneously. The lower bounds can be computed in any iteration of the algorithm by using dual prices that are calculated during execution of the standard PHA. In conclusion, we report computational results on stochastic unit commitment and stochastic server location problem instances, and explore the relationship between key PHA parameters and the quality of the resulting lower bounds.

  15. NEMS - National Energy Modeling System: An Overview

    Reports and Publications (EIA)

    2009-01-01

    The National Energy Modeling System: An Overview 2009 a summary description of NEMS and each of its components. NEMS is a computer-based, energy-economy modeling system of energy markets for the midterm period through 2030. The NEMS is used to produce the Annual Energy Outlook.

  16. nem_spread Ver. 5.10

    Energy Science and Technology Software Center (OSTI)

    2009-06-08

    Nem_spread reads it's input command file (default name nem_spread.inp), takes the named ExodusII geometry definition and spreads out the geometry (and optionally results) contained in that file out to a parallel disk system. The decomposition is taken from a scalar Nemesis load balance file generated by the companion utility nem_slice.

  17. NEMS Modeling of Coal Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    NEMS Modeling of Coal Plants Office of Electricity, Coal, Nuclear, and Renewable Analysis Laura Martin June 14, 2016 Washington, DC 2 EMM Structure EFD ECP EFP ELD Laura Martin Washington, DC, June 14, 2016 Electricity Load and Demand Submodule Liquid Fuels Market Module Model inputs for coal plants 3 * Existing coal plants - plant specific inputs - Fixed and variable operating and maintenance costs, annual capital additions - Retrofit costs (capital and O&M) - FGD, DSI, SCR, SNCR, CCS, FF -

  18. NEMS Freight Transportation Module Improvement Study

    U.S. Energy Information Administration (EIA) Indexed Site

    NEMS Freight Transportation Module Improvement Study February 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | NEMS Freight Transportation Module Improvement Study i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other

  19. nem_slice ver. 3.34

    Energy Science and Technology Software Center (OSTI)

    2009-06-08

    Nem_slice reads in a finite element model description of the geometry of a problem from an ExodusII file and generates either a nodal or elemental graph of the problem. It then calls Chaco to load balance the graph and then outputs a NemesisI load-balance file.

  20. Integrated NEMS and optoelectronics for sensor applications.

    SciTech Connect (OSTI)

    Czaplewski, David A.; Serkland, Darwin Keith; Olsson, Roy H., III; Bogart, Gregory R. (Symphony Acoustics, Rio Rancho, NM); Krishnamoorthy, Uma; Warren, Mial E.; Carr, Dustin Wade (Symphony Acoustics, Rio Rancho, NM); Okandan, Murat; Peterson, Kenneth Allen

    2008-01-01

    This work utilized advanced engineering in several fields to find solutions to the challenges presented by the integration of MEMS/NEMS with optoelectronics to realize a compact sensor system, comprised of a microfabricated sensor, VCSEL, and photodiode. By utilizing microfabrication techniques in the realization of the MEMS/NEMS component, the VCSEL and the photodiode, the system would be small in size and require less power than a macro-sized component. The work focused on two technologies, accelerometers and microphones, leveraged from other LDRD programs. The first technology was the nano-g accelerometer using a nanophotonic motion detection system (67023). This accelerometer had measured sensitivity of approximately 10 nano-g. The Integrated NEMS and optoelectronics LDRD supported the nano-g accelerometer LDRD by providing advanced designs for the accelerometers, packaging, and a detection scheme to encapsulate the accelerometer, furthering the testing capabilities beyond bench-top tests. A fully packaged and tested die was never realized, but significant packaging issues were addressed and many resolved. The second technology supported by this work was the ultrasensitive directional microphone arrays for military operations in urban terrain and future combat systems (93518). This application utilized a diffraction-based sensing technique with different optical component placement and a different detection scheme from the nano-g accelerometer. The Integrated NEMS LDRD supported the microphone array LDRD by providing custom designs, VCSELs, and measurement techniques to accelerometers that were fabricated from the same operational principles as the microphones, but contain proof masses for acceleration transduction. These devices were packaged at the end of the work.

  1. NEMS Buildings Sector Working Group Meeting

    U.S. Energy Information Administration (EIA) Indexed Site

    NEMS Buildings Sector Working Group Meeting Erin Boedecker Owen Comstock Behjat Hojjati Kevin Jarzomski David Peterson Steve Wade October 4, 2012 | Washington, D.C. AEO2013 Preliminary Results WORKING GROUP PRESENTATION FOR DISCUSSION PURPOSES DO NOT QUOTE OR CITE AS RESULTS ARE SUBJECT TO CHANGE WORKING GROUP PRESENTATION FOR DISCUSSION PURPOSES DO NOT QUOTE OR CITE AS RESULTS ARE SUBJECT TO CHANGE Overview Buildings Working Group Forrestal 2E-069 | October 4, 2012 2 * Recap of project list

  2. How to obtain the National Energy Modeling System (NEMS)

    Reports and Publications (EIA)

    2013-01-01

    The National Energy Modeling System (NEMS) NEMS is used by the modelers at the U. S. Energy Information Administration (EIA) who understand its structure and programming. NEMS has only been used by a few organizations outside of the EIA, because most people that requested NEMS found out that it was too difficult or rigid to use. NEMS is not typically used for state-level analysis and is poorly suited for application to other countries. However, many do obtain the model simply to use the data in its input files or to examine the source code.

  3. Frequency Stabilization in Nonlinear MEMS and NEMS Oscillators...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Frequency Stabilization in Nonlinear MEMS and NEMS Oscillators Technology available for licensing: a method to create micro- and nanoscale mechanical oscillators with excellent...

  4. Appendix C: Map of NEMS Electricity Market Module Regions

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration | Analysis of Impacts of a Clean Energy Standard as requested by Chairman Bingaman Appendix C: Map of NEMS Electricity Market Module Regions

  5. National Energy Modeling System (NEMS) | Open Energy Information

    Open Energy Info (EERE)

    Modeling System (NEMS) AgencyCompany Organization: Energy Information Administration Sector: Energy Focus Area: Economic Development Phase: Develop Goals Topics: Policies...

  6. Overview of NEMS-H2, Version 1.0

    Broader source: Energy.gov (indexed) [DOE]

    production and delivery pathways - Integration of NEMS fuel and electricity supply ... International Energy: Gas Oil Electricity Natural Gas Transmission and Distribution Petroleum ...

  7. NEMS Freight Transportation Module Improvement Study - Energy Information

    U.S. Energy Information Administration (EIA) Indexed Site

    Administration NEMS Freight Transportation Module Improvement Study Release date: February 3, 2015 The U.S. Energy Information Administration (EIA) contracted with IHS Global, Inc. (IHS) to analyze the relationship between the value of industrial output, physical output, and freight movement in the United States for use in updating analytic assumptions and modeling structure within the National Energy Modeling System (NEMS) freight transportation module, including forecasting methodologies

  8. EIA Buildings Analysis of Consumer Behavior in NEMS

    U.S. Energy Information Administration (EIA) Indexed Site

    Buildings Analysis of Consumer Behavior in NEMS Behavioral Economics Experts Meeting July 17, 2013 | Washington, DC David Peterson Buildings Energy Consumption and Efficiency Analysis Overview Behavioral Economics Experts Meeting, Washington DC, July 17, 2013 2 * NEMS Structure * Housing/floorspace and service demand in Residential Demand Module (RDM) and Commercial Demand Module (CDM) * Market share calculation for equipment in RDM and CDM * Price responses / elasticities * Distributed

  9. U.S. Regional Demand Forecasts Using NEMS and GIS

    SciTech Connect (OSTI)

    Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

    2005-07-01

    The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

  10. National Energy Modeling System with Hydrogen Model (NEMS-H2...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Modeling System with Hydrogen Model (NEMS-H2) (OnLocation, Inc. 1 ) Objectives Estimate the energy, economic, and environmental impacts of alternative energy policies and different ...

  11. Appendix A - GPRA06 benefits estimates: MARKAL and NEMS model baseline cases

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    NEMS is an integrated energy model of the U.S. energy system developed by the Energy Information Administration (EIA) for forecasting and policy analysis purposes.

  12. Price Responsiveness in the AEO2003 NEMS Residential and Commercial Buildings Sector Models

    Reports and Publications (EIA)

    2003-01-01

    This paper describes the demand responses to changes in energy prices in the Annual Energy Outlook 2003 versions of the Residential and Commercial Demand Modules of the National Energy Modeling System (NEMS). It updates a similar paper completed for the Annual Energy Outlook 1999 version of the NEMS.

  13. LOCA analysis evaluation model with TRAC-PF1/NEM

    SciTech Connect (OSTI)

    Orive Moreno, Raul; Gallego Cabezon, Ines; Garcia Sedano, Pablo

    2004-07-01

    Nowadays regulatory rules and code models development are progressing on the goal of using best-estimate approximations in applications of license. Inside this framework, IBERDROLA is developing a PWR LOCA Analysis Methodology with one double slope, by a side the development of an Evaluation Model (upper-bounding model) that covers with conservative form the different aspects from the PWR LOCA phenomenology and on the other hand, a proposal of CSAU (Code Scaling Applicability and Uncertainty) type evaluation, methodology that strictly covers the 95/95 criterion in the Peak Cladding Temperature. A structured method is established, that basically involves the following steps: 1. Selection of the Large Break LOCA like accident to analyze and of TRAC-PF1/MOD2 V99.1 NEM (PSU version) computer code like analysis tool. 2. Code Assessment, identifying the most remarkable phenomena (PIRT, Phenomena Identification and Ranking Tabulation) and estimation of a possible code deviation (bias) and uncertainties associated to the specific models that control these phenomena (critical flow mass, heat transfer, countercurrent flow, etc...). 3. Evaluation of an overall PCT uncertainty, taking into account code uncertainty, reactor initial conditions, and accident boundary conditions. Uncertainties quantification requires an excellent experiments selection that allows to define a complete evaluation matrix, and the comparison of the simulations results with the experiments measured data, as well as in the relative to the scaling of these phenomena. To simulate these experiments it was necessary to modify the original code, because it was not able to reproduce, in a qualitative way, the expected phenomenology. It can be concluded that there is a good agreement between the TRAC-PF1/NEM results and the experimental data. Once average error ({epsilon}) and standard deviation ({sigma}) for those correlations under study are obtained, these factors could be used to correct in a conservative

  14. A 2D/1D coupling neutron transport method based on the matrix MOC and NEM methods

    SciTech Connect (OSTI)

    Zhang, H.; Zheng, Y.; Wu, H.; Cao, L.

    2013-07-01

    A new 2D/1D coupling method based on the matrix MOC method (MMOC) and nodal expansion method (NEM) is proposed for solving the three-dimensional heterogeneous neutron transport problem. The MMOC method, used for radial two-dimensional calculation, constructs a response matrix between source and flux with only one sweep and then solves the linear system by using the restarted GMRES algorithm instead of the traditional trajectory sweeping process during within-group iteration for angular flux update. Long characteristics are generated by using the customization of commercial software AutoCAD. A one-dimensional diffusion calculation is carried out in the axial direction by employing the NEM method. The 2D and ID solutions are coupled through the transverse leakage items. The 3D CMFD method is used to ensure the global neutron balance and adjust the different convergence properties of the radial and axial solvers. A computational code is developed based on these theories. Two benchmarks are calculated to verify the coupling method and the code. It is observed that the corresponding numerical results agree well with references, which indicates that the new method is capable of solving the 3D heterogeneous neutron transport problem directly. (authors)

  15. Investigation of the effects of soluble boron tracking on coupled CTF / NEM, LWR simulations

    SciTech Connect (OSTI)

    Biery, M.; Avramova, M.; Ivanov, K.

    2013-07-01

    The primary objective of this study is to evaluate the effects of introducing a boron tracking capability to the COBRA-TF / NEM code coupling. The Pennsylvania State University (PSU) versions of COBRA-TF - CTF, and Nodal Expansion Method (NEM) codes are utilized. Previous implementations of the CTF / NEM coupled code had no capability to model soluble boron feedback effects due to boron transport. This study builds upon the validation and qualification efforts of the boron tracking model implementation in CTF by modeling the boron feedback calculated by the CTF boron tracking model in NEM. The core model chosen for this study is the Purdue MOX/UO{sub 2} core model used in the 2007 OECD/NRC code benchmark study. Following the implementation of an explicit online coupling scheme and accompanying k-search routine, the newly coupled CTF / NEM code version with boron tracking is compared to prior results of the non-boron tracking CTF / NEM code version at steady-state hot full power and hot zero power conditions. It was found that the boron tracking model exhibited little influence on the hot zero power result as expected due to a smaller heat flux, which does not significantly change the moderator density and boron concentration as the moderator travels up the axial core length. Meanwhile the boron tracking model had a much greater impact on the hot full power results, predicting the critical inlet boron concentration to be 9.9 ppm below the non-boron tracking result due to greater and more rapid changes in boron concentration corresponding to the reduction in moderator density from being more rapidly heated. (authors)

  16. Model developer`s appendix to the model documentation report: NEMS macroeconomic activity module

    SciTech Connect (OSTI)

    1994-07-15

    The NEMS Macroeconomic Activity Module (MAM) tested here was used to generate the Annual Energy Outlook 1994 (AEO94). MAM is a response surface model, not a structural model, composed of three submodules: the National Submodule, the Interindustry Submodule, and the Regional Submodule. Contents of this report are as follows: properties of the mathematical solution; NEMS MAM empirical basis; and scenario analysis. Scenario analysis covers: expectations for scenario analysis; historical world oil price scenario; AEO94 high world oil price scenario; AEO94 low world oil price scenario; and immediate increase world oil price scenario.

  17. Appendix E: Other NEMS-MP results for the base case and scenarios.

    SciTech Connect (OSTI)

    Plotkin, S. E.; Singh, M. K.; Energy Systems

    2009-12-03

    The NEMS-MP model generates numerous results for each run of a scenario. (This model is the integrated National Energy Modeling System [NEMS] version used for the Multi-Path Transportation Futures Study [MP].) This appendix examines additional findings beyond the primary results reported in the Multi-Path Transportation Futures Study: Vehicle Characterization and Scenario Analyses (Reference 1). These additional results are provided in order to help further illuminate some of the primary results. Specifically discussed in this appendix are: (1) Energy use results for light vehicles (LVs), including details about the underlying total vehicle miles traveled (VMT), the average vehicle fuel economy, and the volumes of the different fuels used; (2) Resource fuels and their use in the production of ethanol, hydrogen (H{sub 2}), and electricity; (3) Ethanol use in the scenarios (i.e., the ethanol consumption in E85 vs. other blends, the percent of travel by flex fuel vehicles on E85, etc.); (4) Relative availability of E85 and H2 stations; (5) Fuel prices; (6) Vehicle prices; and (7) Consumer savings. These results are discussed as follows: (1) The three scenarios (Mixed, (P)HEV & Ethanol, and H2 Success) when assuming vehicle prices developed through literature review; (2) The three scenarios with vehicle prices that incorporate the achievement of the U.S. Department of Energy (DOE) program vehicle cost goals; (3) The three scenarios with 'literature review' vehicle prices, plus vehicle subsidies; and (4) The three scenarios with 'program goals' vehicle prices, plus vehicle subsidies. The four versions or cases of each scenario are referred to as: Literature Review No Subsidies, Program Goals No Subsidies, Literature Review with Subsidies, and Program Goals with Subsidies. Two additional points must be made here. First, none of the results presented for LVs in this section include Class 2B trucks. Results for this class are included occasionally in Reference 1. They

  18. A sensitivity analysis of the treatment of wind energy in the AEO99 version of NEMS

    SciTech Connect (OSTI)

    Osborn, Julie G; Wood, Frances; Richey, Cooper; Sanders, Sandy; Short, Walter; Koomey, Jonathan

    2001-01-01

    Each year, the U.S. Department of Energy's Energy Information Administration (EIA) publishes a forecast of the domestic energy economy in the Annual Energy Outlook (AEO). During the forecast period of the AEO (currently through 2020), renewable energy technologies have typically not achieved significant growth. The contribution of renewable technologies as electric generators becomes more important, however, in scenarios analyzing greenhouse gas emissions reductions or significant technological advancements. We examined the economic assumptions about wind power used for producing forecasts with the National Energy Modeling System (NEMS) to determine their influence on the projected capacity expansion of this technology. This analysis should help illustrate to policymakers what types of issues may affect wind development, and improve the general understanding of the NEMS model itself. Figure 1 illustrates the model structure and factors relevant to wind deployment. We found that NEMS uses various cost multipliers and constraints to represent potential physical and economic limitations to growth in wind capacity, such as resource depletion, costs associated with rapid manufacturing expansion, and grid stability with high levels of capacity from intermittent resources. The model's flexibility allows the user to make alternative assumptions about the magnitude of these factors. While these assumptions have little effect on the Reference Case forecast for the 1999 edition of the AEO, they can make a dramatic difference when wind is more attractive, such as under a carbon permit trading system. With $100/ton carbon permits, the wind capacity projection for 2020 ranges from 15 GW in the unaltered model (AEO99 Reference Case) to 168 GW in the extreme case when all the multipliers and constraints examined in this study are removed. Furthermore, if modifications are made to the model allowing inter-regional transmission of electricity, wind capacity is forecast to reach 214

  19. Science and technology of piezoelectric/diamond heterostructures for monolithically integrated high performance MEMS/NEMS/CMOS devices.

    SciTech Connect (OSTI)

    Auciello, O.; Sumant, A. V.; Hiller, J.; Kabius, B.; Ma, Z.; Srinivasan, S.

    2008-12-01

    This paper describes the fundamental and applied science performed to integrate piezoelectric PbZr{sub x}Ti{sub 1-x}O{sub 3} and AlN films with a novel mechanically robust ultrananocrystalline diamond layer to enable a new generation of low voltage/high-performance piezoactuated hybrid piezoelectric/diamond MEMS/NEMS devices.

  20. Large-area low-temperature ultrananocrystaline diamond (UNCD) films and integration with CMOS devices for monolithically integrated diamond MEMD/NEMS-CMOS systems.

    SciTech Connect (OSTI)

    Sumant, A.V.; Auciello, O.; Yuan, H.-C; Ma, Z.; Carpick, R. W.; Mancini, D. C.; Univ. of Wisconsin; Univ. of Pennsylvania

    2009-05-01

    Because of exceptional mechanical, chemical, and tribological properties, diamond has a great potential to be used as a material for the development of high-performance MEMS and NEMS such as resonators and switches compatible with harsh environments, which involve mechanical motion and intermittent contact. Integration of such MEMS/NEMS devices with complementary metal oxide semiconductor (CMOS) microelectronics will provide a unique platform for CMOS-driven commercial MEMS/NEMS. The main hurdle to achieve diamond-CMOS integration is the relatively high substrate temperatures (600-800 C) required for depositing conventional diamond thin films, which are well above the CMOS operating thermal budget (400 C). Additionally, a materials integration strategy has to be developed to enable diamond-CMOS integration. Ultrananocrystalline diamond (UNCD), a novel material developed in thin film form at Argonne, is currently the only microwave plasma chemical vapor deposition (MPCVD) grown diamond film that can be grown at 400 C, and still retain exceptional mechanical, chemical, and tribological properties comparable to that of single crystal diamond. We have developed a process based on MPCVD to synthesize UNCD films on up to 200 mm in diameter CMOS wafers, which will open new avenues for the fabrication of monolithically integrated CMOS-driven MEMS/NEMS based on UNCD. UNCD films were grown successfully on individual Si-based CMOS chips and on 200 mm CMOS wafers at 400 C in a MPCVD system, using Ar-rich/CH4 gas mixture. The CMOS devices on the wafers were characterized before and after UNCD deposition. All devices were performing to specifications with very small degradation after UNCD deposition and processing. A threshold voltage degradation in the range of 0.08-0.44V and transconductance degradation in the range of 1.5-9% were observed.

  1. Arctic Lower Troposphere Observed Structure (ALTOS)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Lower Troposphere Observed Structure (ALTOS) will raise and lower a heavily instrumented tethered balloon system at regular intervals in the lower 2 kilometers of the atmosphere at Oliktok Point. Data obtained during the ALTOS campaign will provide a statistically significant set of observed in situ cloud properties for validating retrieval algorithms and help scientists reduce the uncertainty in the radiative forcing and heating rates on hourly time scales. The data will also help researchers

  2. Lower Hybrid Experiments

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Lower Hybrid Experiments on MST M.C. Kaufman, J.A. Goetz, M.A. Thomas, D.R. Burke and D.J. Clayton Department of Physics, University of Wisconsin, Madision, WI 53706 Abstract. Current drive using RF waves has been proposed as a means to reduce the tearing fluctuations responsible for anomalous energy transport in the RFP. A traveling wave antenna op- erating at 800 MHz is being used to launch lower hybrid waves into MST to assess the feasibility of this approach. Parameter studies show that edge

  3. Lower gasoline prices ahead

    U.S. Energy Information Administration (EIA) Indexed Site

    Lower gasoline prices ahead U.S. retail gasoline prices are expected to continue falling through the end of 2016, even though gasoline demand is projected to remain strong. In its new monthly forecast, the U.S. Energy Information Administration said the average monthly price for regular-grade gasoline is expected to decline to $1.92 a gallon by December the lowest for the month in eight years. Lower motor fuel prices are expected in the coming months, despite gasoline demand this year that is on

  4. Library of Continuation Algorithms

    Energy Science and Technology Software Center (OSTI)

    2005-03-01

    LOCA (Library of Continuation Algorithms) is scientific software written in C++ that provides advanced analysis tools for nonlinear systems. In particular, it provides parameter continuation algorithms. bifurcation tracking algorithms, and drivers for linear stability analysis. The algorithms are aimed at large-scale applications that use Newton’s method for their nonlinear solve.

  5. ALGORITHM FOR ACCNT

    Energy Science and Technology Software Center (OSTI)

    002651IBMPC00 Algorithm for Accounting for the Interactions of Multiple Renewable Energy Technologies in Estimation of Annual Performance† †

  6. NEMS Modeling of Coal Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    Liquid Fuels Market Module Model inputs for coal plants 3 * Existing coal plants - plant specific ... FF - Cost to convert to natural gas-fired steam plant - Cost to implement heat ...

  7. Lowering Barriers | Department of Energy

    Office of Environmental Management (EM)

    installed capacity from 2006 to 2010. SunShot Home About Concentrating Solar Power Photovoltaics Systems Integration Soft Costs Reducing Non-Hardware Costs Lowering Barriers...

  8. OpenEIS Algorithms

    Energy Science and Technology Software Center (OSTI)

    2013-07-29

    The OpenEIS Algorithm package seeks to provide a low-risk path for building owners, service providers and managers to explore analytical methods for improving building control and operational efficiency. Users of this software can analyze building data, and learn how commercial implementations would provide long-term value. The code also serves as a reference implementation for developers who wish to adapt the algorithms for use in commercial tools or service offerings.

  9. Lower Colorado River Authority | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of Lower Colorado River Authority's communications requirements Lower Colorado River Authority (134.07

  10. New Effective Multithreaded Matching Algorithms

    SciTech Connect (OSTI)

    Manne, Fredrik; Halappanavar, Mahantesh

    2014-05-19

    Matching is an important combinatorial problem with a number of applications in areas such as community detection, sparse linear algebra, and network alignment. Since computing optimal matchings can be very time consuming, several fast approximation algorithms, both sequential and parallel, have been suggested. Common to the algorithms giving the best solutions is that they tend to be sequential by nature, while algorithms more suitable for parallel computation give solutions of less quality. We present a new simple 1 2 -approximation algorithm for the weighted matching problem. This algorithm is both faster than any other suggested sequential 1 2 -approximation algorithm on almost all inputs and also scales better than previous multithreaded algorithms. We further extend this to a general scalable multithreaded algorithm that computes matchings of weight comparable with the best sequential algorithms. The performance of the suggested algorithms is documented through extensive experiments on different multithreaded architectures.

  11. Automatic toilet seat lowering apparatus

    DOE Patents [OSTI]

    Guerty, Harold G.

    1994-09-06

    A toilet seat lowering apparatus includes a housing defining an internal cavity for receiving water from the water supply line to the toilet holding tank. A descent delay assembly of the apparatus can include a stationary dam member and a rotating dam member for dividing the internal cavity into an inlet chamber and an outlet chamber and controlling the intake and evacuation of water in a delayed fashion. A descent initiator is activated when the internal cavity is filled with pressurized water and automatically begins the lowering of the toilet seat from its upright position, which lowering is also controlled by the descent delay assembly. In an alternative embodiment, the descent initiator and the descent delay assembly can be combined in a piston linked to the rotating dam member and provided with a water channel for creating a resisting pressure to the advancing piston and thereby slowing the associated descent of the toilet seat. A toilet seat lowering apparatus includes a housing defining an internal cavity for receiving water from the water supply line to the toilet holding tank. A descent delay assembly of the apparatus can include a stationary dam member and a rotating dam member for dividing the internal cavity into an inlet chamber and an outlet chamber and controlling the intake and evacuation of water in a delayed fashion. A descent initiator is activated when the internal cavity is filled with pressurized water and automatically begins the lowering of the toilet seat from its upright position, which lowering is also controlled by the descent delay assembly. In an alternative embodiment, the descent initiator and the descent delay assembly can be combined in a piston linked to the rotating dam member and provided with a water channel for creating a resisting pressure to the advancing piston and thereby slowing the associated descent of the toilet seat.

  12. Robotic Follow Algorithm

    Energy Science and Technology Software Center (OSTI)

    2005-03-30

    The Robotic Follow Algorithm enables allows any robotic vehicle to follow a moving target while reactively choosing a route around nearby obstacles. The robotic follow behavior can be used with different camera systems and can be used with thermal or visual tracking as well as other tracking methods such as radio frequency tags.

  13. Catalyst for producing lower alcohols

    DOE Patents [OSTI]

    Rathke, Jerome W.; Klingler, Robert J.; Heiberger, John J.

    1987-01-01

    A process and system for the production of the lower alcohols such as methanol, ethanol and propanol involves the reaction of carbon monoxide and water in the presence of a lead salt and an alkali metal formate catalyst combination. The lead salt is present as solid particles such as lead titanate, lead molybdate, lead vanadate, lead zirconate, lead tantalate and lead silicates coated or in slurry within molten alkali metal formate. The reactants, carbon monoxide and steam are provided in gas form at relatively low pressures below 100 atmospheres and at temperatures of 200-400.degree. C. The resulted lower alcohols can be separated into boiling point fractions and recovered from the excess reactants by distillation.

  14. Algorithms for builder guidelines

    SciTech Connect (OSTI)

    Balcomb, J.D.; Lekov, A.B.

    1989-06-01

    The Builder Guidelines are designed to make simple, appropriate guidelines available to builders for their specific localities. Builders may select from passive solar and conservation strategies with different performance potentials. They can then compare the calculated results for their particular house design with a typical house in the same location. Algorithms used to develop the Builder Guidelines are described. The main algorithms used are the monthly solar ratio (SLR) method for winter heating, the diurnal heat capacity (DHC) method for temperature swing, and a new simplified calculation method (McCool) for summer cooling. This paper applies the algorithms to estimate the performance potential of passive solar strategies, and the annual heating and cooling loads of various combinations of conservation and passive solar strategies. The basis of the McCool method is described. All three methods are implemented in a microcomputer program used to generate the guideline numbers. Guidelines for Denver, Colorado, are used to illustrate the results. The structure of the guidelines and worksheet booklets are also presented. 5 refs., 3 tabs.

  15. Large scale tracking algorithms.

    SciTech Connect (OSTI)

    Hansen, Ross L.; Love, Joshua Alan; Melgaard, David Kennett; Karelitz, David B.; Pitts, Todd Alan; Zollweg, Joshua David; Anderson, Dylan Z.; Nandy, Prabal; Whitlow, Gary L.; Bender, Daniel A.; Byrne, Raymond Harry

    2015-01-01

    Low signal-to-noise data processing algorithms for improved detection, tracking, discrimination and situational threat assessment are a key research challenge. As sensor technologies progress, the number of pixels will increase signi cantly. This will result in increased resolution, which could improve object discrimination, but unfortunately, will also result in a significant increase in the number of potential targets to track. Many tracking techniques, like multi-hypothesis trackers, suffer from a combinatorial explosion as the number of potential targets increase. As the resolution increases, the phenomenology applied towards detection algorithms also changes. For low resolution sensors, "blob" tracking is the norm. For higher resolution data, additional information may be employed in the detection and classfication steps. The most challenging scenarios are those where the targets cannot be fully resolved, yet must be tracked and distinguished for neighboring closely spaced objects. Tracking vehicles in an urban environment is an example of such a challenging scenario. This report evaluates several potential tracking algorithms for large-scale tracking in an urban environment.

  16. Lower Colorado River Authority | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    from Lower Colorado River Authority on Smart Grid communications requirements Lower Colorado River Authority (349.31

  17. Lower Sioux Wind Feasibility & Development

    SciTech Connect (OSTI)

    Minkel, Darin

    2012-04-01

    This report describes the process and findings of a Wind Energy Feasibility Study (Study) conducted by the Lower Sioux Indian Community (Community). The Community is evaluating the development of a wind energy project located on tribal land. The project scope was to analyze the critical issues in determining advantages and disadvantages of wind development within the Community. This analysis addresses both of the Community's wind energy development objectives: the single turbine project and the Commerical-scale multiple turbine project. The main tasks of the feasibility study are: land use and contraint analysis; wind resource evaluation; utility interconnection analysis; and project structure and economics.

  18. Improved multiprocessor garbage collection algorithms

    SciTech Connect (OSTI)

    Newman, I.A.; Stallard, R.P.; Woodward, M.C.

    1983-01-01

    Outlines the results of an investigation of existing multiprocessor garbage collection algorithms and introduces two new algorithms which significantly improve some aspects of the performance of their predecessors. The two algorithms arise from different starting assumptions. One considers the case where the algorithm will terminate successfully whatever list structure is being processed and assumes that the extra data space should be minimised. The other seeks a very fast garbage collection time for list structures that do not contain loops. Results of both theoretical and experimental investigations are given to demonstrate the efficacy of the algorithms. 7 references.

  19. Lower hybrid wavepacket stochasticity revisited

    SciTech Connect (OSTI)

    Fuchs, V.; KrlŪn, L.; PŠnek, R.; Preinhaelter, J.; Seidl, J.; Urban, J.

    2014-02-12

    Analysis is presented in support of the explanation in Ref. [1] for the observation of relativistic electrons during Lower Hybrid (LH) operation in EC pre-heated plasma at the WEGA stellarator [1,2]. LH power from the WEGA TE11 circular waveguide, 9 cm diameter, un-phased, 2.45 GHz antenna, is radiated into a B?0.5 T, –úĄn{sub e}?5◊10{sup 17} 1/m{sup 3} plasma at T{sub e}?10 eV bulk temperature with an EC generated 50 keV component [1]. The fast electrons cycle around flux or drift surfaces with few collisions, sufficient for randomizing phases but insufficient for slowing fast electrons down, and thus repeatedly interact with the rf field close to the antenna mouth, gaining energy in the process. Our antenna calculations reveal a standing electric field pattern at the antenna mouth, with which we formulate the electron dynamics via a relativistic Hamiltonian. A simple approximation of the equations of motion leads to a relativistic generalization of the area-preserving Fermi-Ulam (F-U) map [3], allowing phase-space global stochasticity analysis. At typical WEGA plasma and antenna conditions, the F-U map predicts an LH driven current of about 230 A, at about 225 W of dissipated power, in good agreement with the measurements and analysis reported in [1].

  20. Savings Project: Lower Water Heating Temperature | Department...

    Energy Savers [EERE]

    Lower Water Heating Temperature Savings Project: Lower Water Heating Temperature Addthis Project Level Easy Energy Savings 12-30 annually for each 10F reduction Time to ...

  1. Cubit Adaptive Meshing Algorithm Library

    Energy Science and Technology Software Center (OSTI)

    2004-09-01

    CAMAL (Cubit adaptive meshing algorithm library) is a software component library for mesh generation. CAMAL 2.0 includes components for triangle, quad and tetrahedral meshing. A simple Application Programmers Interface (API) takes a discrete boundary definition and CAMAL computes a quality interior unstructured grid. The triangle and quad algorithms may also import a geometric definition of a surface on which to define the grid. CAMAL¬ís triangle meshing uses a 3D space advancing front method, the quadmore¬†¬Ľ meshing algorithm is based upon Sandia¬ís patented paving algorithm and the tetrahedral meshing algorithm employs the GHS3D-Tetmesh component developed by INRIA, France.¬ę¬†less

  2. Algorithmic advances in stochastic programming

    SciTech Connect (OSTI)

    Morton, D.P.

    1993-07-01

    Practical planning problems with deterministic forecasts of inherently uncertain parameters often yield unsatisfactory solutions. Stochastic programming formulations allow uncertain parameters to be modeled as random variables with known distributions, but the size of the resulting mathematical programs can be formidable. Decomposition-based algorithms take advantage of special structure and provide an attractive approach to such problems. We consider two classes of decomposition-based stochastic programming algorithms. The first type of algorithm addresses problems with a ``manageable`` number of scenarios. The second class incorporates Monte Carlo sampling within a decomposition algorithm. We develop and empirically study an enhanced Benders decomposition algorithm for solving multistage stochastic linear programs within a prespecified tolerance. The enhancements include warm start basis selection, preliminary cut generation, the multicut procedure, and decision tree traversing strategies. Computational results are presented for a collection of ``real-world`` multistage stochastic hydroelectric scheduling problems. Recently, there has been an increased focus on decomposition-based algorithms that use sampling within the optimization framework. These approaches hold much promise for solving stochastic programs with many scenarios. A critical component of such algorithms is a stopping criterion to ensure the quality of the solution. With this as motivation, we develop a stopping rule theory for algorithms in which bounds on the optimal objective function value are estimated by sampling. Rules are provided for selecting sample sizes and terminating the algorithm under which asymptotic validity of confidence interval statements for the quality of the proposed solution can be verified. Issues associated with the application of this theory to two sampling-based algorithms are considered, and preliminary empirical coverage results are presented.

  3. Winter Energy Savings from Lower Thermostat Settings

    Reports and Publications (EIA)

    2000-01-01

    This discussion provides details on the effect of lowering thermostat settings during the winter heating months of 1997.

  4. Belief network algorithms: A study of performance

    SciTech Connect (OSTI)

    Jitnah, N.

    1996-12-31

    This abstract gives an overview of the work. We present a survey of Belief Network algorithms and propose a domain characterization system to be used as a basis for algorithm comparison and for predicting algorithm performance.

  5. Optimized Algorithms Boost Combustion Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Optimized Algorithms Boost Combustion Research Optimized Algorithms Boost Combustion Research Methane Flame Simulations Run 6x Faster on NERSC's Hopper Supercomputer November 25, 2014 Contact: Kathy Kincade, +1 510 495 2124, kkincade@lbl.gov Turbulent combustion simulations, which provide input to the design of more fuel-efficient combustion systems, have gotten their own efficiency boost, thanks to researchers from the Computational Research Division (CRD) at Lawrence Berkeley National

  6. Berkeley Algorithms Help Researchers Understand Dark Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Algorithms Help Researchers Understand Dark Energy Berkeley Algorithms Help Researchers Understand Dark Energy November 24, 2014 Contact: Linda Vu, +1 510 495 2402, lvu@lbl.gov ...

  7. GPU Accelerated Event Detection Algorithm

    Energy Science and Technology Software Center (OSTI)

    2011-05-25

    Smart grid external require new algorithmic approaches as well as parallel formulations. One of the critical components is the prediction of changes and detection of anomalies within the power grid. The state-of-the-art algorithms are not suited to handle the demands of streaming data analysis. (i) need for events detection algorithms that can scale with the size of data, (ii) need for algorithms that can not only handle multi dimensional nature of the data, but alsomore¬†¬Ľ model both spatial and temporal dependencies in the data, which, for the most part, are highly nonlinear, (iii) need for algorithms that can operate in an online fashion with streaming data. The GAEDA code is a new online anomaly detection techniques that take into account spatial, temporal, multi-dimensional aspects of the data set. The basic idea behind the proposed approach is to (a) to convert a multi-dimensional sequence into a univariate time series that captures the changes between successive windows extracted from the original sequence using singular value decomposition (SVD), and then (b) to apply known anomaly detection techniques for univariate time series. A key challenge for the proposed approach is to make the algorithm scalable to huge datasets by adopting techniques from perturbation theory, incremental SVD analysis. We used recent advances in tensor decomposition techniques which reduce computational complexity to monitor the change between successive windows and detect anomalies in the same manner as described above. Therefore we propose to develop the parallel solutions on many core systems such as GPUs, because these algorithms involve lot of numerical operations and are highly data-parallelizable.¬ę¬†less

  8. Liquid Fuels Market Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Defines the objectives of the Liquid Fuels Market Model (LFMM), describes its basic approach, and provides detail on how it works. This report is intended as a reference document for model analysts, users, and the public.

  9. Energy Information Administration NEMS Macroeconomic Activity...

    Gasoline and Diesel Fuel Update (EIA)

    of employment by industry is industrial output. Both current and lagged output values enter in the employment specification, reflecting the tendency of firms to hire employees in...

  10. Energy Information Administration NEMS Petroleum Market Model...

    Gasoline and Diesel Fuel Update (EIA)

    lignite, and premium), sulfur content (compliancelow, medium, high), and mining type (deep, surface, above ground, underground). These curves are linked to 14 coal demand...

  11. Lower Sioux Indian Community Wind Energy Development

    Energy Savers [EERE]

    * A geographic information system (GIS) was created to overlay the Lower Sioux ... - Known cultural resource features GIS * The intent of this GIS is to: - Reveal ...

  12. Lower Sioux Indian Community- 2010 Project

    Broader source: Energy.gov [DOE]

    Lower Sioux intends to continue its efforts to develop wind projects on its lands as a continuation of efforts begun roughly 20 years ago.

  13. Displacing Natural Gas Consumption and Lowering Emissions

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    ADVANCED MANUFACTURING OFFICE Displacing Natural Gas Consumption and Lowering Emissions By ... full advantage of op- portunity fuels and thereby reduce their natural gas consumption. ...

  14. Lower Sioux Wind Feasibility and Development

    Energy Savers [EERE]

    DOE Tribal Energy Program Review November 2009 Lower Sioux Indian Community * 930-member community located on the southern bank of the Minnesota River in South Central Minnesota * ...

  15. Lower Colorado River Authority | Open Energy Information

    Open Energy Info (EERE)

    Name: Lower Colorado River Authority Place: Texas Website: www.lcra.orgPagesdefault.asp Twitter: @lcra Facebook: https:www.facebook.comlowercoloradoriverauthority Outage...

  16. Adaptive protection algorithm and system

    DOE Patents [OSTI]

    Hedrick, Paul (Pittsburgh, PA) [Pittsburgh, PA; Toms, Helen L. (Irwin, PA) [Irwin, PA; Miller, Roger M. (Mars, PA) [Mars, PA

    2009-04-28

    An adaptive protection algorithm and system for protecting electrical distribution systems traces the flow of power through a distribution system, assigns a value (or rank) to each circuit breaker in the system and then determines the appropriate trip set points based on the assigned rank.

  17. Laser action by optically depumping lower states

    DOE Patents [OSTI]

    Krupke, William F.

    1977-01-01

    A method and apparatus for obtaining laser action between an upper energy level and a lower energy level of a gaseous medium, which comprises populating the upper energy level to some degree (short of achieving a conventional inverted population) by any suitable pumping means, and thereafter establishing an inverted population by transiently and selectively depumping the lower energy level such as by exposing the medium to an intense source of radiation which selectively causes the transformation of the lower energy level species to some other energy level. Thus, a thermally pumped/optically depumped gas laser system is produced.

  18. Laser action by optically depumping lower states

    DOE Patents [OSTI]

    Krupke, W.F.

    1975-11-26

    A method and apparatus are described for obtaining laser action between an upper energy level and a lower energy level of a gaseous medium. The upper energy level is populated to some degree (short of achieving a conventional inverted population) by any suitable pumping means, and an inverted population is established by transiently and selectively depumping the lower energy level. The depumping may be done by exposing the medium to an intense source of radiation which selectively causes the transformation of the lower energy level species to some other energy level. Thus, a thermally pumped/optically depumped gas laser system is produced.

  19. Lower Valley Energy Inc | Open Energy Information

    Open Energy Info (EERE)

    LowerValleyEnergy Outage Hotline: 800-882-5875 References: Energy Information Administration.1 EIA Form 861 Data Utility Id 11273 This article is a stub. You can help OpenEI...

  20. EIA lowers forecast for summer gasoline prices

    U.S. Energy Information Administration (EIA) Indexed Site

    EIA lowers forecast for summer gasoline prices U.S. gasoline prices are expected to be ... according to the new monthly forecast from the U.S. Energy Information Administration. ...

  1. Lower Saccharide Nanometric Materials and Methods

    DOE Patents [OSTI]

    Schilling, Christopher H.; Tomasik, Piotr; Sikora, Marek

    2004-07-13

    A ceramic composition having at least one nanometric ceramic powder, at least one lower saccharide, and water. The composition is useful in many industrial applications, including preparation of stronger and substantially defect free green and sintered ceramic bodies.

  2. Lower crude oil prices to help push down gasoline pricesLower...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Lower crude oil prices to help push down gasoline prices Falling crude oil prices should lead to lower U.S. retail gasoline prices this year compared to last year. The U.S. Energy ...

  3. algorithms

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    and its Use in Coupling Codes for Multiphysics Simulations Rod Schmidt, Noel Belcourt, Russell Hooper, and Roger Pawlowski Sandia National Laboratories P.O. Box 5800...

  4. algorithms

    Office of Scientific and Technical Information (OSTI)

    1 are estimated us- ing the conventional MCMC (C-MCMC) with 60,000 model executions (red-solid lines), the linear, quadratic, and cubic surrogate systems with 9226, 4375, 3765...

  5. algorithms

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    of the vehicle. Here the two domains are the fluid exterior to the vehicle (compressible, turbulent fluid flow) and the interior of the vehicle (structural dynamics)...

  6. A lower bound for routing on a completely connected optical communication parallel computer

    SciTech Connect (OSTI)

    Goldberg, L.A.; Jerrum, M.; MacKenzie, P.D.

    1993-08-03

    The task of routing a 2-relation on an n-processor completely connected optical communication parallel computer (OCPC) is considered. A lower bound is presented that applies to any randomized distributed algorithm for this task: specifically, it is shown that the expected number of steps required to route a 2-relation is {Omega}({radical} log log n) in the worst case. For comparison, the best upper bound known is O(log log n).

  7. Time Variant Floating Mean Counting Algorithm

    Energy Science and Technology Software Center (OSTI)

    1999-06-03

    This software was written to test a time variant floating mean counting algorithm. The algorithm was developed by Westinghouse Savannah River Company and a provisional patent has been filed on the algorithm. The test software was developed to work with the Val Tech model IVB prototype version II count rate meter hardware. The test software was used to verify the algorithm developed by WSRC could be correctly implemented with the vendor''s hardware.

  8. Lower Hybrid to Whistler Wave Conversion

    SciTech Connect (OSTI)

    Winske, Dan

    2012-07-16

    In this presentation we discuss recent work concerning the conversion of whistler waves to lower hybrid waves (as well as the inverse process). These efforts have been motivated by the issue of attenuation of upward propagating whistler waves in the ionosphere generated by VLF transmitters on the ground, i.e., the 'Starks 20 db' problem, which affects the lifetimes of energetic electrons trapped in the geomagnetic field at low magnetic altitude (L). We discuss recent fluid and kinetic plasma simulations as well as ongoing experiments at UCLA to quantify linear and nonlinear mode conversion of lower hybrid to whistler waves.

  9. Lower Brule Sioux Tribe- 1994 Project

    Broader source: Energy.gov [DOE]

    Located in the center of South Dakota, the Lower Brule Sioux reservation has significant natural resources, including a 250,000-acre land base, a lake with surface area of 80 square miles, artesian wells of geothermal water, average wind speeds of 10-15 mph, and hydropower potential.

  10. Nonlinear lower hybrid modeling in tokamak plasmas

    SciTech Connect (OSTI)

    Napoli, F.; Schettini, G.; Castaldo, C.; Cesario, R.

    2014-02-12

    We present here new results concerning the nonlinear mechanism underlying the observed spectral broadening produced by parametric instabilities occurring at the edge of tokamak plasmas in present day LHCD (lower hybrid current drive) experiments. Low frequency (LF) ion-sound evanescent modes (quasi-modes) are the main parametric decay channel which drives a nonlinear mode coupling of lower hybrid (LH) waves. The spectrum of the LF fluctuations is calculated here considering the beating of the launched LH wave at the radiofrequency (RF) operating line frequency (pump wave) with the noisy background of the RF power generator. This spectrum is calculated in the frame of the kinetic theory, following a perturbative approach. Numerical solutions of the nonlinear LH wave equation show the evolution of the nonlinear mode coupling in condition of a finite depletion of the pump power. The role of the presence of heavy ions in a Deuterium plasma in mitigating the nonlinear effects is analyzed.

  11. Lower Brule Sioux Tribe- 2003 Project

    Broader source: Energy.gov [DOE]

    The Lower Brule Sioux tribal reservation comprises 230,000 acres along the west bank of Lake Francis Case and Lake Sharpe, which were created by the Fort Randall and Big Bend dams of the Missouri. The tribe will assess the feasibility of using pumped-storage hydroelectric power to increase the value of wind-generated electricity. The proposed project would use a pump-back storage reservoir and hydroelectric turbines to supply power when the wind slows or stops.

  12. Lower Cost, Higher Performance Carbon Fiber

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    C. David (Dave) Warren Field Technical Manager Transportation Materials Research Oak Ridge National Laboratory P.O. Box 2009, M/S 8050 Oak Ridge, Tennessee 37831-8050 Phone: 865-574-9693 Fax: 865-574-0740 Email: WarrenCD@ORNL.GOV Lower Cost, Higher Performance Carbon Fiber 14 February 2011 2 Managed by UT-Battelle for the U.S. Department of Energy Presentation_name Questions for Today Materials How can the cost of carbon fiber suitable for higher performance applications (H 2 Storage) be

  13. A modified lower hybrid coupler for TPX

    SciTech Connect (OSTI)

    Bernabei, S.; Greenough, N.; Goranson, P.; Swain, D.

    1995-07-01

    Efforts have concentrated on redesigning the configuration of the Lower Hybrid coupler for TPX tokamak. Several concerns motivated this redesign: reduce the effect of thermal incompatibility between coupler and rf-window material, reduce weight, reduce the risk of wind failure and address the problem of replaceability, increase the reliability by reducing the number connections and finally, reduce the total cost. The result is a highly compact, light and easily serviceable coupler which incorporates some of the simplicity of the multifunction coupler but preserves the spectral flexibility of a conventional coupler.

  14. Student's algorithm solves real-world problem

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Student's algorithm solves real-world problem Supercomputing Challenge: student's algorithm solves real-world problem Students learn how to use powerful computers to analyze, model, and solve real-world problems. April 3, 2012 Jordon Medlock of Albuquerque's Manzano High School won the 2012 Lab-sponsored Supercomputing Challenge Jordon Medlock of Albuquerque's Manzano High School won the 2012 Lab-sponsored Supercomputing Challenge by creating a computer algorithm that automates the process of

  15. Solar Position Algorithm (SPA) - Energy Innovation Portal

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Thermal Solar Thermal Energy Analysis Energy Analysis Find More Like This Return to Search Solar Position Algorithm (SPA) National Renewable Energy Laboratory Contact NREL About ...

  16. Java implementation of Class Association Rule algorithms

    Energy Science and Technology Software Center (OSTI)

    2007-08-30

    Java implementation of three Class Association Rule mining algorithms, NETCAR, CARapriori, and clustering based rule mining. NETCAR algorithm is a novel algorithm developed by Makio Tamura. The algorithm is discussed in a paper: UCRL-JRNL-232466-DRAFT, and would be published in a peer review scientific journal. The software is used to extract combinations of genes relevant with a phenotype from a phylogenetic profile and a phenotype profile. The phylogenetic profiles is represented by a binary matrix andmore¬†¬Ľ a phenotype profile is represented by a binary vector. The present application of this software will be in genome analysis, however, it could be applied more generally.¬ę¬†less

  17. Generation of attributes for learning algorithms

    SciTech Connect (OSTI)

    Hu, Yuh-Jyh; Kibler, D.

    1996-12-31

    Inductive algorithms rely strongly on their representational biases. Constructive induction can mitigate representational inadequacies. This paper introduces the notion of a relative gain measure and describes a new constructive induction algorithm (GALA) which is independent of the learning algorithm. Unlike most previous research on constructive induction, our methods are designed as preprocessing step before standard machine learning algorithms are applied. We present the results which demonstrate the effectiveness of GALA on artificial and real domains for several learners: C4.5, CN2, perceptron and backpropagation.

  18. Hybrid Discrete - Continuum Algorithms for Stochastic Reaction...

    Office of Scientific and Technical Information (OSTI)

    for Stochastic Reaction Networks. Citation Details In-Document Search Title: Hybrid Discrete - Continuum Algorithms for Stochastic Reaction Networks. Abstract not provided. ...

  19. Environmental analysis of Lower Pueblo/Lower Los Alamos Canyon, Los Alamos, New Mexico

    SciTech Connect (OSTI)

    Ferenbaugh, R.W.; Buhl, T.E.; Stoker, A.K.; Becker, N.M.; Rodgers, J.C.; Hansen, W.R.

    1994-12-01

    The radiological survey of the former radioactive waste treatment plant site (TA-45), Acid Canyon, Pueblo Canyon, and Los Alamos Canyon found residual contamination at the site itself and in the channel and banks of Acid, Pueblo, and lower Los Alamos Canyons all the way to the Rio Grande. The largest reservoir of residual radioactivity is in lower Pueblo Canyon, which is on DOE property. However, residual radioactivity does not exceed proposed cleanup criteria in either lower Pueblo or lower Los Alamos Canyons. The three alternatives proposed are (1) to take no action, (2) to construct a sediment trap in lower Pueblo Canyon to prevent further transport of residual radioactivity onto San Ildefonso Indian Pueblo land, and (3) to clean the residual radioactivity from the canyon system. Alternative 2, to cleanup the canyon system, is rejected as a viable alternative. Thousands of truckloads of sediment would have to be removed and disposed of, and this effort is unwarranted by the low levels of contamination present. Residual radioactivity levels, under either present conditions or projected future conditions, will not result in significant radiation doses to persons exposed. Modeling efforts show that future transport activity will not result in any residual radioactivity concentrations higher than those already existing. Thus, although construction of a sediment trap in lower Pueblo Canyon is a viable alternative, this effort also is unwarranted, and the no-action alternative is the preferred alternative.

  20. Petascale algorithms for reactor hydrodynamics.

    SciTech Connect (OSTI)

    Fischer, P.; Lottes, J.; Pointer, W. D.; Siegel, A.

    2008-01-01

    We describe recent algorithmic developments that have enabled large eddy simulations of reactor flows on up to P = 65, 000 processors on the IBM BG/P at the Argonne Leadership Computing Facility. Petascale computing is expected to play a pivotal role in the design and analysis of next-generation nuclear reactors. Argonne's SHARP project is focused on advanced reactor simulation, with a current emphasis on modeling coupled neutronics and thermal-hydraulics (TH). The TH modeling comprises a hierarchy of computational fluid dynamics approaches ranging from detailed turbulence computations, using DNS (direct numerical simulation) and LES (large eddy simulation), to full core analysis based on RANS (Reynolds-averaged Navier-Stokes) and subchannel models. Our initial study is focused on LES of sodium-cooled fast reactor cores. The aim is to leverage petascale platforms at DOE's Leadership Computing Facilities (LCFs) to provide detailed information about heat transfer within the core and to provide baseline data for less expensive RANS and subchannel models.

  1. Initial borehole acoustic televiewer data processing algorithms

    SciTech Connect (OSTI)

    Moore, T.K.

    1988-06-01

    With the development of a new digital televiewer, several algorithms have been developed in support of off-line data processing. This report describes the initial set of utilities developed to support data handling as well as data display. Functional descriptions, implementation details, and instructions for use of the seven algorithms are provided. 5 refs., 33 figs., 1 tab.

  2. Comments of the Lower Colorado River Authority | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Lower Colorado River Authority Comments of the Lower Colorado River Authority Comments of the Lower Colorado River Authority on Implementing the National Broadband Plan by Studying the Communications Requirements of Electric Utilities to Inform Federal Smart Grid Policy Comments of the Lower Colorado River Authority (54.12 KB) More Documents & Publications Lower Colorado River Authority Lower Colorado River Authority NBP RFI: Communications Requirements- Comments of Meeker Cooperative Light

  3. Energy Department Announces $21 Million to Lower Solar Energy...

    Energy Savers [EERE]

    1 Million to Lower Solar Energy Deployment Barriers Energy Department Announces 21 Million to Lower Solar Energy Deployment Barriers February 8, 2016 - 8:30am Addthis Energy ...

  4. Use Lower Flammable Limit Monitoring Equipment to Improve Process...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Lower Flammable Limit Monitoring Equipment to Improve Process Oven Efficiency Use Lower Flammable Limit Monitoring Equipment to Improve Process Oven Efficiency This process heating ...

  5. Manufacturing R&D Initiative Lowers Costs and Boosts Quality...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Manufacturing R&D Initiative Lowers Costs and Boosts Quality Manufacturing R&D Initiative Lowers Costs and Boosts Quality PDF icon mfg-initiativefactsheetjun2015.pdf More ...

  6. EIS-0526: Lower Yellowstone Intake Diversion Dam Fish Passage...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    6: Lower Yellowstone Intake Diversion Dam Fish Passage Project; near Glendive, Montana EIS-0526: Lower Yellowstone Intake Diversion Dam Fish Passage Project; near Glendive, Montana ...

  7. Manufacturing R&D Initiative Lowers Costs and Boosts Quality...

    Energy Savers [EERE]

    Manufacturing R&D Initiative Lowers Costs and Boosts Quality Manufacturing R&D Initiative Lowers Costs and Boosts Quality PDF icon mfg-initiativefactsheetjun2015.pdf More...

  8. Five and Dime: Revisiting Strategies for Lowering the Costs of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Five and Dime: Revisiting Strategies for Lowering the Costs of Delivering Energy Efficiency (101) Five and Dime: Revisiting Strategies for Lowering the Costs of Delivering Energy ...

  9. Lower Yellowstone Intake Diversion Dam Fish Passage Project,...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Lower Yellowstone Intake Diversion Dam Fish Passage Project, Montana DRAFT - Appendix E ... Lower Yellowstone Intake Diversion Dam Fish Passage Project Appendix E Monitoring and ...

  10. Lower Yellowstone Intake Diversion Dam Fish Passage Project,...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Lower Yellowstone Intake Diversion Dam Fish Passage Project, Montana DRAFT - Appendix F Correspondence Lower Yellowstone Intake Diversion Dam Correspondence Fish Passage Project ...

  11. Lower-Energy Energy Storage System (LEESS) Component Evaluation...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Lower-Energy Energy Storage System (LEESS) Component Evaluation Citation Details In-Document Search Title: Lower-Energy Energy Storage System (LEESS) Component ...

  12. Waste Shipment Tracking Technology Lowers Costs, Increases Efficiency...

    Office of Environmental Management (EM)

    Waste Shipment Tracking Technology Lowers Costs, Increases Efficiency Waste Shipment Tracking Technology Lowers Costs, Increases Efficiency February 27, 2013 - 12:00pm Addthis This ...

  13. ,"Lower 48 Federal Offshore Coalbed Methane Proved Reserves ...

    U.S. Energy Information Administration (EIA) Indexed Site

    Data for" ,"Data 1","Lower 48 Federal Offshore Coalbed Methane Proved Reserves (Billion ... to Contents","Data 1: Lower 48 Federal Offshore Coalbed Methane Proved Reserves (Billion ...

  14. ,"Lower 48 Federal Offshore Natural Gas Liquids Lease Condensate...

    U.S. Energy Information Administration (EIA) Indexed Site

    Data for" ,"Data 1","Lower 48 Federal Offshore Natural Gas Liquids Lease Condensate, ... to Contents","Data 1: Lower 48 Federal Offshore Natural Gas Liquids Lease Condensate, ...

  15. ,"Lower 48 Federal Offshore Natural Gas Plant Liquids, Expected...

    U.S. Energy Information Administration (EIA) Indexed Site

    Data for" ,"Data 1","Lower 48 Federal Offshore Natural Gas Plant Liquids, Expected ... to Contents","Data 1: Lower 48 Federal Offshore Natural Gas Plant Liquids, Expected ...

  16. Concentrating Solar Power: Concentrating Optics for Lower Levelized...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Concentrating Solar Power: Concentrating Optics for Lower Levelized Energy Costs (CSP: COLLECTS) Concentrating Solar Power: Concentrating Optics for Lower Levelized Energy Costs ...

  17. The Arctic Lower Troposphere Observed Structure (ALTOS) Campaign...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: The Arctic Lower Troposphere Observed Structure (ALTOS) Campaign Citation Details In-Document Search Title: The Arctic Lower Troposphere Observed Structure ...

  18. Genetic algorithms at UC Davis/LLNL

    SciTech Connect (OSTI)

    Vemuri, V.R.

    1993-12-31

    A tutorial introduction to genetic algorithms is given. This brief tutorial should serve the purpose of introducing the subject to the novice. The tutorial is followed by a brief commentary on the term project reports that follow.

  19. Tracking Algorithm for Multi- Dimensional Array Transposition

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    192002 Yun (Helen) He, SC2002 1 MPI and OpenMP Paradigms on Cluster of SMP Architectures: the Vacancy Tracking Algorithm for Multi- Dimensional Array Transposition Yun (Helen) He...

  20. Advanced Imaging Algorithms for Radiation Imaging Systems

    SciTech Connect (OSTI)

    Marleau, Peter

    2015-10-01

    The intent of the proposed work, in collaboration with University of Michigan, is to develop the algorithms that will bring the analysis from qualitative images to quantitative attributes of objects containing SNM. The first step to achieving this is to develop an indepth understanding of the intrinsic errors associated with the deconvolution and MLEM algorithms. A significant new effort will be undertaken to relate the image data to a posited three-dimensional model of geometric primitives that can be adjusted to get the best fit. In this way, parameters of the model such as sizes, shapes, and masses can be extracted for both radioactive and non-radioactive materials. This model-based algorithm will need the integrated response of a hypothesized configuration of material to be calculated many times. As such, both the MLEM and the model-based algorithm require significant increases in calculation speed in order to converge to solutions in practical amounts of time.

  1. Advanced CHP Control Algorithms: Scope Specification

    SciTech Connect (OSTI)

    Katipamula, Srinivas; Brambley, Michael R.

    2006-04-28

    The primary objective of this multiyear project is to develop algorithms for combined heat and power systems to ensure optimal performance, increase reliability, and lead to the goal of clean, efficient, reliable and affordable next generation energy systems.

  2. Drainage Algorithm for Geospatial Knowledge

    Energy Science and Technology Software Center (OSTI)

    2006-08-15

    The Pacific Northwest National Laboratory (PNNL) has developed a prototype stream extraction algorithm that semi-automatically extracts and characterizes streams using a variety of multisensor imagery and digital terrain elevation data (DTED√ɬÉ√ā¬Į√ɬā√ā¬É√ɬā√ā¬Ę) data. The system is currently optimized for three types of single-band imagery: radar, visible, and thermal. Method of Solution: DRAGON: (1) classifies pixels into clumps of water objects based on the classification of water pixels by spectral signatures and neighborhood relationships, (2) uses themore¬†¬Ľ morphology operations (erosion and dilation) to separate out large lakes (or embayment), isolated lakes, ponds, wide rivers and narrow rivers, and (3) translates the river objects into vector objects. In detail, the process can be broken down into the following steps. A. Water pixels are initially identified using on the extend range and slope values (if an optional DEM file is available). B. Erode to the distance that defines a large water body and then dilate back. The resulting mask can be used to identify large lake and embayment objects that are then removed from the image. Since this operation be time consuming it is only performed if a simple test (i.e. a large box can be found somewhere in the image that contains only water pixels) that indicates a large water body is present. C. All water pixels are √ɬÉ√ā¬Ę√ɬā√ā¬Ä√ɬā√ā¬ėclumped√ɬÉ√ā¬Ę√ɬā√ā¬Ä√ɬā√ā¬ô (in Imagine terminology clumping is when pixels of a common classification that touch are connected) and clumps which do not contain pure water pixels (e.g. dark cloud shadows) are removed D. The resulting true water pixels are clumped and water objects which are too small (e.g. ponds) or isolated lakes (i.e. isolated objects with a small compactness ratio) are removed. Note that at this point lakes have been identified has a byproduct of the filtering process and can be output has vector layers if needed. E. At this point only river pixels

  3. Parallel Algorithms and Patterns (Technical Report) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Parallel Algorithms and Patterns Citation Details In-Document Search Title: Parallel Algorithms and Patterns Authors: Robey, Robert W. 1 + Show Author Affiliations Los Alamos ...

  4. Efficient algorithm for generating spectra using line-by-lne...

    Office of Scientific and Technical Information (OSTI)

    Citation Details In-Document Search Title: Efficient algorithm for generating spectra ... Subject: 74 ATOMIC AND MOLECULAR PHYSICS; 70 PLASMA PHYSICS AND FUSION; ALGORITHMS; ...

  5. Robust Algorithm for Computing Statistical Stark Broadening of...

    Office of Scientific and Technical Information (OSTI)

    Citation Details In-Document Search Title: Robust Algorithm for Computing Statistical ... Language: English Subject: 70 PLASMA PHYSICS AND FUSION; ACCURACY; ALGORITHMS; ...

  6. Solar Position Algorithm for Solar Radiation Applications (Revised...

    Office of Scientific and Technical Information (OSTI)

    Solar Position Algorithm for Solar Radiation Applications (Revised) Citation Details In-Document Search Title: Solar Position Algorithm for Solar Radiation Applications (Revised) ...

  7. New Algorithm Enables Faster Simulations of Ultrafast Processes

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Algorithm Enables Faster Simulations of Ultrafast Processes New Algorithm Enables Faster ... Academy of Sciences, have developed a new real-time time-dependent density function ...

  8. New Design Methods and Algorithms for Multi-component Distillation...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Design Methods and Algorithms for Multi-component Distillation Processes New Design Methods and Algorithms for Multi-component Distillation Processes multicomponent.pdf (517.32 KB) ...

  9. Smolt Monitoring at the Head of Lower Granite Reservoir and Lower Granite Dam, 2005 Annual Report.

    SciTech Connect (OSTI)

    Buettner, Edwin W.; Putnam, Scott A.

    2009-02-18

    This project monitored the daily passage of Chinook salmon Oncorhynchus tshawytscha, steelhead trout O. mykiss, and sockeye salmon O. nerka smolts during the 2005 spring out-migration at migrant traps on the Snake River and Salmon River. In 2005 fish management agencies released significant numbers of hatchery Chinook salmon and steelhead trout above Lower Granite Dam that were not marked with a fin clip or coded-wire tag. Generally, the age-1 and older fish were distinguishable from wild fish by the occurrence of fin erosion. Age-0 Chinook salmon are more difficult to distinguish between wild and non-adclipped hatchery fish and therefore classified as unknown rearing. The total annual hatchery spring/summer Chinook salmon catch at the Snake River trap was 0.34 times greater in 2005 than in 2004. The wild spring/summer Chinook catch was 0.34 times less than the previous year. Hatchery steelhead trout catch was 0.67 times less than in 2004. Wild steelhead trout catch was 0.72 times less than the previous year. The Snake River trap collected 1,152 age-0 Chinook salmon of unknown rearing. During 2005, the Snake River trap captured 219 hatchery and 44 wild/natural sockeye salmon and 110 coho salmon O. kisutch of unknown rearing. Differences in trap catch between years are due to fluctuations not only in smolt production, but also differences in trap efficiency and duration of trap operation associated with flow. Trap operations began on March 6 and were terminated on June 3. The trap was out of operation for a total of one day due to heavy debris. FPC requested that the trap be restarted on June 15 through June 22 to collect and PIT tag age-0 Chinook salmon. Hatchery Chinook salmon catch at the Salmon River trap was 1.06 times greater and wild Chinook salmon catch was 1.26 times greater than in 2004. The hatchery steelhead trout collection in 2005 was 1.41 times greater and wild steelhead trout collection was 1.27 times greater than the previous year. Trap operations

  10. "Eztrack": A single-vehicle deterministic tracking algorithm

    SciTech Connect (OSTI)

    Carrano, C J

    2007-12-20

    A variety of surveillance operations require the ability to track vehicles over a long period of time using sequences of images taken from a camera mounted on an airborne or similar platform. In order to be able to see and track a vehicle for any length of time, either a persistent surveillance imager is needed that can image wide fields of view over a long time-span or a highly maneuverable smaller field-of-view imager is needed that can follow the vehicle of interest. The algorithm described here was designed for the persistence surveillance case. In turns out that most vehicle tracking algorithms described in the literature[1,2,3,4] are designed for higher frame rates (> 5 FPS) and relatively short ground sampling distances (GSD) and resolutions ({approx} few cm to a couple tens of cm). But for our datasets, we are restricted to lower resolutions and GSD's ({ge}0.5 m) and limited frame-rates ({le}2.0 Hz). As a consequence, we designed our own simple approach in IDL which is a deterministic, motion-guided object tracker. The object tracking relies both on object features and path dynamics. The algorithm certainly has room for future improvements, but we have found it to be a useful tool in evaluating effects of frame-rate, resolution/GSD, and spectral content (eg. grayscale vs. color imaging ). A block diagram of the tracking approach is given in Figure 1. We describe each of the blocks of the diagram in the upcoming sections.

  11. Smolt Monitoring at the Head of Lower Granite Reservoir and Lower Granite Dam, 2002 Annual Report.

    SciTech Connect (OSTI)

    Buettner, Edwin W.; Putnam, Scott A.

    2009-02-18

    This project monitored the daily passage of Chinook salmon Oncorhynchus tshawytscha, steelhead trout O. mykiss, and sockeye salmon smolts O. nerka during the 2002 spring out-migration at migrant traps on the Snake River and Salmon River. In 2002 fish management agencies released significant numbers of hatchery Chinook salmon and steelhead trout above Lower Granite Dam that were not marked with a fin clip or coded-wire tag. Generally, these fish were distinguishable from wild fish by the occurrence of fin erosion. Total annual hatchery Chinook salmon catch at the Snake River trap was 11.4 times greater in 2002 than in 2001. The wild Chinook catch was 15.5 times greater than the previous year. Hatchery steelhead trout catch was 2.9 times greater than in 2001. Wild steelhead trout catch was 2.8 times greater than the previous year. The Snake River trap collected 3,996 age-0 Chinook salmon of unknown rearing. During 2002, the Snake River trap captured 69 hatchery and 235 wild/natural sockeye salmon and 114 hatchery coho salmon O. kisutch. Differences in trap catch between years are due to fluctuations not only in smolt production, but also differences in trap efficiency and duration of trap operation associated with flow. The significant increase in catch in 2002 was due to a 3.1 fold increase in hatchery Chinook production and a more normal spring runoff. Trap operations began on March 10 and were terminated on June 7. The trap was out of operation for a total of four days due to mechanical failure or debris. Hatchery Chinook salmon catch at the Salmon River trap was 4.2 times greater and wild Chinook salmon catch was 2.4 times greater than in 2001. The hatchery steelhead trout collection in 2002 was 81% of the 2001 numbers. Wild steelhead trout collection in 2002 was 81% of the previous year's catch. Trap operations began on March 10 and were terminated on May 29 due to high flows. The trap was out of operation for four days due to high flow or debris. The increase

  12. Smolt Monitoring at the Head of Lower Granite Reservoir and Lower Granite Dam, 2004 Annual Report.

    SciTech Connect (OSTI)

    Buettner, Edwin W.; Putnam, Scott A.

    2009-02-18

    This project monitored the daily passage of Chinook salmon Oncorhynchus tshawytscha, steelhead trout O. mykiss, and sockeye salmon O. nerka smolts during the 2004 spring out-migration at migrant traps on the Snake River and Salmon River. In 2004 fish management agencies released significant numbers of hatchery Chinook salmon and steelhead trout above Lower Granite Dam that were not marked with a fin clip or coded-wire tag. Generally, these fish were distinguishable from wild fish by the occurrence of fin erosion. Total annual hatchery Chinook salmon catch at the Snake River trap was 1.1 times greater in 2004 than in 2003. The wild Chinook catch was 1.1 times greater than the previous year. Hatchery steelhead trout catch was 1.2 times greater than in 2003. Wild steelhead trout catch was 1.6 times greater than the previous year. The Snake River trap collected 978 age-0 Chinook salmon of unknown rearing. During 2004, the Snake River trap captured 23 hatchery and 18 wild/natural sockeye salmon and 60 coho salmon O. kisutch of unknown rearing. Differences in trap catch between years are due to fluctuations not only in smolt production, but also differences in trap efficiency and duration of trap operation associated with flow. Trap operations began on March 7 and were terminated on June 4. The trap was out of operation for a total of zero days due to mechanical failure or debris. Hatchery Chinook salmon catch at the Salmon River trap was 10.8% less and wild Chinook salmon catch was 19.0% less than in 2003. The hatchery steelhead trout collection in 2004 was 20.0% less and wild steelhead trout collection was 22.3% less than the previous year. Trap operations began on March 7 and were terminated on May 28 due to high flows. There were two days when the trap was taken out of service because wild Chinook catch was very low, hatchery Chinook catch was very high, and the weekly quota of PIT tagged hatchery Chinook had been met. Travel time (d) and migration rate (km

  13. The Iron Spin Transition in the Earth's Lower Mantle

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The Iron Spin Transition in the Earth's Lower Mantle Print It is now known that the iron present in minerals of the lower mantle of the Earth undergoes a pressure-induced...

  14. The Iron Spin Transition in the Earth's Lower Mantle

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The Iron Spin Transition in the Earth's Lower Mantle The Iron Spin Transition in the Earth's Lower Mantle Print Wednesday, 30 April 2008 00:00 It is now known that the iron present...

  15. Fact #889: September 7, 2015 Average Diesel Price Lower than...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    9: September 7, 2015 Average Diesel Price Lower than Gasoline for the First Time in Six Years Fact 889: September 7, 2015 Average Diesel Price Lower than Gasoline for the First ...

  16. Capturing Waste Gas: Saves Energy, Lower Costs - Case Study,...

    Office of Environmental Management (EM)

    Capturing Waste Gas: Saves Energy, Lower Costs - Case Study, 2013 Capturing Waste Gas: Saves Energy, Lower Costs - Case Study, 2013 ArcelorMittal USA, Inc.'s Indiana Harbor steel ...

  17. Lower Valley Energy- Residential Energy Efficiency Rebate Program

    Office of Energy Efficiency and Renewable Energy (EERE)

    Lower Valley Energy offers rebates for residential customers who wish to increase the energy efficiency of eligible homes. Contact Lower Valley Energy by phone for more specific information on the...

  18. Energy Department Announces $21 Million to Lower Solar Energy Deployment

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Barriers | Department of Energy 1 Million to Lower Solar Energy Deployment Barriers Energy Department Announces $21 Million to Lower Solar Energy Deployment Barriers February 8, 2016 - 8:30am Addthis Energy Department Announces $21 Million to Lower Solar Energy Deployment Barriers The U.S. Department of Energy today announced $21 million in new funding to lower solar energy deployment barriers and expand access to solar energy to all Americans. The Department is making $13 million available

  19. Concentrating Solar Power: Concentrating Optics for Lower Levelized Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Costs (CSP: COLLECTS) | Department of Energy Concentrating Solar Power: Concentrating Optics for Lower Levelized Energy Costs (CSP: COLLECTS) Concentrating Solar Power: Concentrating Optics for Lower Levelized Energy Costs (CSP: COLLECTS) Concentrating Solar Power: Concentrating Optics for Lower Levelized Energy Costs (CSP: COLLECTS) The Concentrating Solar Power: Concentrating Optics for Lower Levelized Energy Costs (CSP: COLLECTS) funding program aims to further accelerate progress toward

  20. Use Lower Flammable Limit Monitoring Equipment to Improve Process Oven

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Efficiency | Department of Energy Lower Flammable Limit Monitoring Equipment to Improve Process Oven Efficiency Use Lower Flammable Limit Monitoring Equipment to Improve Process Oven Efficiency This process heating tip sheet recommends using lower flammable limit monitoring equipment to improve oven efficiency. PROCESS HEATING TIP SHEET #11 Use Lower Flammable Limit Monitoring Equipment to Improve Process Oven Efficiency (October 2007) (228.04 KB) More Documents & Publications Check

  1. Nonlinear Global Optimization Using Curdling Algorithm

    Energy Science and Technology Software Center (OSTI)

    1996-03-01

    An algorithm for performing curdling optimization which is a derivative-free, grid-refinement approach to nonlinear optimization was developed and implemented in software. This approach overcomes a number of deficiencies in existing approaches. Most notably, it finds extremal regions rather than only single external extremal points. The program is interactive and collects information on control parameters and constraints using menus. For up to four dimensions, function convergence is displayed graphically. Because the algorithm does not compute derivatives,more¬†¬Ľ gradients or vectors, it is numerically stable. It can find all the roots of a polynomial in one pass. It is an inherently parallel algorithm. Constraints are handled as being initially fuzzy, but become tighter with each iteration.¬ę¬†less

  2. Factorization using the quadratic sieve algorithm

    SciTech Connect (OSTI)

    Davis, J.A.; Holdridge, D.B.

    1983-01-01

    Since the cryptosecurity of the RSA two key cryptoalgorithm is no greater than the difficulty of factoring the modulus (product of two secret primes), a code that implements the Quadratic Sieve factorization algorithm on the CRAY I computer has been developed at the Sandia National Laboratories to determine as sharply as possible the current state-of-the-art in factoring. Because all viable attacks on RSA thus far proposed are equivalent to factorization of the modulus, sharper bounds on the computational difficulty of factoring permit improved estimates for the size of RSA parameters needed for given levels of cryptosecurity. Analysis of the Quadratic Sieve indicates that it may be faster than any previously published general purpose algorithm for factoring large integers. The high speed of the CRAY I coupled with the capability of the CRAY to pipeline certain vectorized operations make this algorithm (and code) the front runner in current factoring techniques.

  3. Factorization using the quadratic sieve algorithm

    SciTech Connect (OSTI)

    Davis, J.A.; Holdridge, D.B.

    1983-12-01

    Since the cryptosecurity of the RSA two key cryptoalgorithm is no greater than the difficulty of factoring the modulus (product of two secret primes), a code that implements the Quadratic Sieve factorization algorithm on the CRAY I computer has been developed at the Sandia National Laboratories to determine as sharply as possible the current state-of-the-art in factoring. Because all viable attacks on RSA thus far proposed are equivalent to factorization of the modulus, sharper bounds on the computational difficulty of factoring permit improved estimates for the size of RSA parameters needed for given levels of cryptosecurity. Analysis of the Quadratic Sieve indicates that it may be faster than any previously published general purpose algorithm for factoring large integers. The high speed of the CRAY I coupled with the capability of the CRAY to pipeline certain vectorized operations make this algorithm (and code) the front runner in current factoring techniques.

  4. Parallelism of the SANDstorm hash algorithm.

    SciTech Connect (OSTI)

    Torgerson, Mark Dolan; Draelos, Timothy John; Schroeppel, Richard Crabtree

    2009-09-01

    Mainstream cryptographic hashing algorithms are not parallelizable. This limits their speed and they are not able to take advantage of the current trend of being run on multi-core platforms. Being limited in speed limits their usefulness as an authentication mechanism in secure communications. Sandia researchers have created a new cryptographic hashing algorithm, SANDstorm, which was specifically designed to take advantage of multi-core processing and be parallelizable on a wide range of platforms. This report describes a late-start LDRD effort to verify the parallelizability claims of the SANDstorm designers. We have shown, with operating code and bench testing, that the SANDstorm algorithm may be trivially parallelized on a wide range of hardware platforms. Implementations using OpenMP demonstrates a linear speedup with multiple cores. We have also shown significant performance gains with optimized C code and the use of assembly instructions to exploit particular platform capabilities.

  5. Bootstrap performance profiles in stochastic algorithms assessment

    SciTech Connect (OSTI)

    Costa, Lino; EspŪrito Santo, Isabel A.C.P.; Oliveira, Pedro

    2015-03-10

    Optimization with stochastic algorithms has become a relevant research field. Due to its stochastic nature, its assessment is not straightforward and involves integrating accuracy and precision. Performance profiles for the mean do not show the trade-off between accuracy and precision, and parametric stochastic profiles require strong distributional assumptions and are limited to the mean performance for a large number of runs. In this work, bootstrap performance profiles are used to compare stochastic algorithms for different statistics. This technique allows the estimation of the sampling distribution of almost any statistic even with small samples. Multiple comparison profiles are presented for more than two algorithms. The advantages and drawbacks of each assessment methodology are discussed.

  6. Graph algorithms in the titan toolkit.

    SciTech Connect (OSTI)

    McLendon, William Clarence, III; Wylie, Brian Neil

    2009-10-01

    Graph algorithms are a key component in a wide variety of intelligence analysis activities. The Graph-Based Informatics for Non-Proliferation and Counter-Terrorism project addresses the critical need of making these graph algorithms accessible to Sandia analysts in a manner that is both intuitive and effective. Specifically we describe the design and implementation of an open source toolkit for doing graph analysis, informatics, and visualization that provides Sandia with novel analysis capability for non-proliferation and counter-terrorism.

  7. Speckle imaging algorithms for planetary imaging

    SciTech Connect (OSTI)

    Johansson, E.

    1994-11-15

    I will discuss the speckle imaging algorithms used to process images of the impact sites of the collision of comet Shoemaker-Levy 9 with Jupiter. The algorithms use a phase retrieval process based on the average bispectrum of the speckle image data. High resolution images are produced by estimating the Fourier magnitude and Fourier phase of the image separately, then combining them and inverse transforming to achieve the final result. I will show raw speckle image data and high-resolution image reconstructions from our recent experiment at Lick Observatory.

  8. Berkeley Algorithms Help Researchers Understand Dark Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Algorithms Help Researchers Understand Dark Energy Berkeley Algorithms Help Researchers Understand Dark Energy November 24, 2014 Contact: Linda Vu, +1 510 495 2402, lvu@lbl.gov Scientists believe that dark energy-the mysterious force that is accelerating cosmic expansion-makes up about 70 percent of the mass and energy of the universe. But because they don't know what it is, they cannot observe it directly. To unlock the mystery of dark energy and its influence on the universe, researchers

  9. Smolt Monitoring at the Head of Lower Granite Reservoir and Lower Granite Dam, 2003 Annual Report.

    SciTech Connect (OSTI)

    Buettner, Edwin W.; Putnam, Scott A.

    2009-02-18

    This project monitored the daily passage of Chinook salmon Oncorhynchus tshawytscha, steelhead trout O. mykiss, and sockeye salmon O. nerka smolts during the 2003 spring out-migration at migrant traps on the Snake River and Salmon River. In 2003 fish management agencies released significant numbers of hatchery Chinook salmon and steelhead trout above Lower Granite Dam that were not marked with a fin clip or coded-wire tag. Generally, these fish were distinguishable from wild fish by the occurrence of fin erosion. Total annual hatchery Chinook salmon catch at the Snake River trap was 2.1 times less in 2003 than in 2002. The wild Chinook catch was 1.1 times less than the previous year. Hatchery steelhead trout catch was 1.7 times less than in 2002. Wild steelhead trout catch was 2.1 times less than the previous year. The Snake River trap collected 579 age-0 Chinook salmon of unknown rearing. During 2003, the Snake River trap captured five hatchery and 13 wild/natural sockeye salmon and 36 coho salmon O. kisutch of unknown rearing. Differences in trap catch between years are due to fluctuations not only in smolt production, but also differences in trap efficiency and duration of trap operation associated with flow. The significant differences in catch between 2003 and the previous year were due mainly to low flows during much of the trapping season and then very high flows at the end of the season, which terminated the trapping season 12 days earlier than in 2002. Trap operations began on March 9 and were terminated on May 27. The trap was out of operation for a total of zero days due to mechanical failure or debris. Hatchery Chinook salmon catch at the Salmon River trap was 16.8% less and wild Chinook salmon catch was 1.7 times greater than in 2002. The hatchery steelhead trout collection in 2003 was 5.6% less than in 2002. Wild steelhead trout collection was 19.2% less than the previous year. Trap operations began on March 9 and were terminated on May 24 due to high

  10. Gamma-ray Spectral Analysis Algorithm Library

    Energy Science and Technology Software Center (OSTI)

    1997-09-25

    The routines of the Gauss Algorithm library are used to implement special purpose products that need to analyze gamma-ray spectra from GE semiconductor detectors as a part of their function. These routines provide the ability to calibrate energy, calibrate peakwidth, search for peaks, search for regions, and fit the spectral data in a given region to locate gamma rays.

  11. Gamma-ray spectral analysis algorithm library

    Energy Science and Technology Software Center (OSTI)

    2013-05-06

    The routines of the Gauss Algorithms library are used to implement special purpose products that need to analyze gamma-ray spectra from Ge semiconductor detectors as a part of their function. These routines provide the ability to calibrate energy, calibrate peakwidth, search for peaks, search for regions, and fit the spectral data in a given region to locate gamma rays.

  12. PDES. FIPS Standard Data Encryption Algorithm

    SciTech Connect (OSTI)

    Nessett, D.N.

    1992-03-03

    PDES performs the National Bureau of Standards FIPS Pub. 46 data encryption/description algorithm used for the cryptographic protection of computer data. The DES algorithm is designed to encipher and decipher blocks of data consisting of 64 bits under control of a 64-bit key. The key is generated in such a way that each of the 56 bits used directly by the algorithm are random and the remaining 8 error-detecting bits are set to make the parity of each 8-bit byte of the key odd, i.e. there is an odd number of 1 bits in each 8-bit byte. Each member of a group of authorized users of encrypted computer data must have the key that was used to encipher the data in order to use it. Data can be recovered from cipher only by using exactly the same key used to encipher it, but with the schedule of addressing the key bits altered so that the deciphering process is the reverse of the enciphering process. A block of data to be enciphered is subjected to an initial permutation, then to a complex key-dependent computation, and finally to a permutation which is the inverse of the initial permutation. Two PDES routines are included; both perform the same calculation. One, identified as FDES.MAR, is designed to achieve speed in execution, while the other identified as PDES.MAR, presents a clearer view of how the algorithm is executed.

  13. Control algorithms for autonomous robot navigation

    SciTech Connect (OSTI)

    Jorgensen, C.C.

    1985-09-20

    This paper examines control algorithm requirements for autonomous robot navigation outside laboratory environments. Three aspects of navigation are considered: navigation control in explored terrain, environment interactions with robot sensors, and navigation control in unanticipated situations. Major navigation methods are presented and relevance of traditional human learning theory is discussed. A new navigation technique linking graph theory and incidental learning is introduced.

  14. Semi-Implicit Reversible Algorithms for Rigid Body Rotational Dynamics

    SciTech Connect (OSTI)

    Nukala, Phani K; Shelton Jr, William Allison

    2006-09-01

    This paper presents two semi-implicit algorithms based on splitting methodology for rigid body rotational dynamics. The first algorithm is a variation of partitioned Runge-Kutta (PRK) methodology that can be formulated as a splitting method. The second algorithm is akin to a multiple time stepping scheme and is based on modified Crouch-Grossman (MCG) methodology, which can also be expressed as a splitting algorithm. These algorithms are second-order accurate and time-reversible; however, they are not Poisson integrators, i.e., non-symplectic. These algorithms conserve some of the first integrals of motion, but some others are not conserved; however, the fluctuations in these invariants are bounded over exponentially long time intervals. These algorithms exhibit excellent long-term behavior because of their reversibility property and their (approximate) Poisson structure preserving property. The numerical results indicate that the proposed algorithms exhibit superior performance compared to some of the currently well known algorithms such as the Simo-Wong algorithm, Newmark algorithm, discrete Moser-Veselov algorithm, Lewis-Simo algorithm, and the LIEMID[EA] algorithm.

  15. Lower-Energy Energy Storage System (LEESS) Component Evaluation (Technical

    Office of Scientific and Technical Information (OSTI)

    Report) | SciTech Connect Lower-Energy Energy Storage System (LEESS) Component Evaluation Citation Details In-Document Search Title: Lower-Energy Energy Storage System (LEESS) Component Evaluation Alternate hybrid electric vehicle (HEV) energy storage systems (ESS) such as lithium-ion capacitors (LICs) and electrochemical double-layer capacitor (EDLC) modules have the potential for improved life, superior cold temperature performance, and lower long-term cost projections relative to

  16. Funding Opportunity Announcement: CSP: Concentrating Optics for Lower

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Levelized Energy Costs (COLLECTS) | Department of Energy CSP: Concentrating Optics for Lower Levelized Energy Costs (COLLECTS) Funding Opportunity Announcement: CSP: Concentrating Optics for Lower Levelized Energy Costs (COLLECTS) Funding Number: DE-FOA-0001268 Funding Amount: $15,000,000 Description Building upon the successful outcomes of the 2012 SunShot CSP Research and Development funding program, the CSP: Concentrating Optics for Lower Levelized Energy Costs (COLLECTS) funding program

  17. ARM - Field Campaign - Lower Atmospheric Boundary Layer Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Related Campaigns 2013 Lower Atmospheric Boundary Layer Experiment 2013.05.28, Turner, SGP ... Lead Scientist : David Turner For data sets, see below. Abstract Boundary layer turbulence ...

  18. ARM - Field Campaign - 2013 Lower Atmospheric Boundary Layer...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Lower Atmospheric Boundary Layer Experiment 2012.09.17, Turner, SGP Comments? We would ... Lead Scientist : David Turner For data sets, see below. Abstract Instruments were deployed ...

  19. Lower 48 Federal Offshore Natural Gas Plant Liquids, Expected...

    Gasoline and Diesel Fuel Update (EIA)

    Expected Future Production (Million Barrels) Lower 48 Federal Offshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

  20. Accurate Detection of Impurities in Hydrogen Fuel at Lower Cost...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Accurate Detection of Impurities in Hydrogen Fuel at Lower Cost Technology available for licensing: Two alternative strategies for detecting impurities in the hydrogen used in fuel...

  1. Addendum: Lower Yellowstone Intake Diversion Dam Fish Passage...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Yellowstone Intake Diversion Dam Fish Passage Project, Montana Draft Environmental Impact Statement- Addendum June 2016 1 Addendum: Lower Yellowstone Intake Diversion Dam Fish ...

  2. Energy Department Announces $25 Million to Lower Cost of Concentrating...

    Broader source: Energy.gov (indexed) [DOE]

    clean and renewable energy, even at night, by storing the heat generated by the sun. "Investments to improve the efficiency and lower the costs of concentrating solar...

  3. Lower 48 Federal Offshore Coalbed Methane Proved Reserves (Billion...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lower 48 Federal Offshore Coalbed Methane Proved Reserves (Billion Cubic Feet) Decade ...2016 Referring Pages: Coalbed Methane Proved Reserves as of Dec. 31 Federal Offshore U.S.

  4. Lower 48 Federal Offshore Natural Gas Liquids Lease Condensate...

    U.S. Energy Information Administration (EIA) Indexed Site

    Liquids Lease Condensate, Proved Reserves (Million Barrels) Lower 48 Federal Offshore ... Lease Condensate Proved Reserves as of Dec. 31 Federal Offshore U.S. Lease Condensate ...

  5. Pika Energy Develops Innovative Manufacturing Process and Lowers...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    produce distributed wind systems to lower the cost of energy from their turbines and ... Pika's innovation was to develop a tooling design and a cooling strategy that enables ...

  6. ,"Lower 48 States Natural Gas Plant Liquids, Expected Future...

    U.S. Energy Information Administration (EIA) Indexed Site

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab ... ,"Data 1","Lower 48 States Natural Gas Plant Liquids, Expected Future Production ...

  7. Study of lower hybrid wave propagation in ionized gas by Hamiltonian theory

    SciTech Connect (OSTI)

    Casolari, A.; Cardinali, A.

    2014-02-12

    In order to find an approximate solution to the Vlasov-Maxwell equation system describing the lower hybrid wave propagation in magnetic confined plasmas, the use of the WKB method leads to the ray tracing equations. The Hamiltonian character of the ray tracing equations is investigated analytically and numerically in order to deduce the physical properties of the wave propagating without absorption in the confined plasma. The consequences of the Hamiltonian character of the equations on the travelling wave, in particular, on the evolution of the parallel wavenumber along the propagation path have been accounted and the chaotic diffusion of the timeaveraged parallel wave-number towards higher values has been evaluated. Numerical analysis by means of a Runge-Kutta based algorithm implemented in a ray tracing code supplies the analytical considerations. A numerical tool based on the symplectic integration of the ray trajectories has been developed.

  8. Some problems in sequencing and scheduling utilizing branch and bound algorithms

    SciTech Connect (OSTI)

    Gim, B.

    1988-01-01

    This dissertation deals with branch and bound algorithms which are applied to the two-machine flow-shop problem with sparse precedence constraints and the optimal sequencing and scheduling of multiple feedstocks in a batch-type digester problem. The problem studied here is to find a schedule which minimizes the maximum flow time with the requirement that the schedule does not violate a set of sparse precedence constraints. This research provides a branch and bound algorithm which employs a lower bounding rule and is based on an adjustment of the sequence obtained by applying Johnson's algorithm. It is demonstrated that this lower bounding procedure in conjunction with Kurisu's branching rule is effective for the sparse precedence constraints problem case. Biomass to methane production systems have the potential of supplying 25% of the national gas demand. The optimal operation of a batch digester system requires the sequencing and scheduling of all batches from multiple feedstocks during a fixed time horizon. A significant characteristic of these systems is that the feedstock decays in storage before use in the digester system. The operational problem is to determine the time to allocate to each batch of several feedstocks and then sequence the individual batches so as to maximize biogas production for a single batch type digester over a fixed planning horizon. This research provides a branch and bound algorithm for sequencing and a two-step hierarchical dynamic programming procedure for time allocation scheduling. An efficient heuristic algorithm is developed for large problems and demonstrated to yield excellent results.

  9. A garbage collection algorithm for shared memory parallel processors

    SciTech Connect (OSTI)

    Crammond, J. )

    1988-12-01

    This paper describes a technique for adapting the Morris sliding garbage collection algorithm to execute on parallel machines with shared memory. The algorithm is described within the framework of an implementation of the parallel logic language Parlog. However, the algorithm is a general one and can easily be adapted to parallel Prolog systems and to other languages. The performance of the algorithm executing a few simple Parlog benchmarks is analyzed. Finally, it is shown how the technique for parallelizing the sequential algorithm can be adapted for a semi-space copying algorithm.

  10. Lower Cost Carbon Fiber Precursors | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    1 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation lm004_warren_2011_o.pdf (1.88 MB) More Documents & Publications Lower Cost Carbon Fiber Precursors Lower Cost Carbon Fiber Precursors Low Cost Carbon Fiber Overview

  11. Fast computation algorithms for speckle pattern simulation

    SciTech Connect (OSTI)

    Nascov, Victor; SamoilńÉ, Cornel; UrsuŇ£iu, Doru

    2013-11-13

    We present our development of a series of efficient computation algorithms, generally usable to calculate light diffraction and particularly for speckle pattern simulation. We use mainly the scalar diffraction theory in the form of Rayleigh-Sommerfeld diffraction formula and its Fresnel approximation. Our algorithms are based on a special form of the convolution theorem and the Fast Fourier Transform. They are able to evaluate the diffraction formula much faster than by direct computation and we have circumvented the restrictions regarding the relative sizes of the input and output domains, met on commonly used procedures. Moreover, the input and output planes can be tilted each to other and the output domain can be off-axis shifted.

  12. Algorithmic Techniques for Massive Data Sets

    SciTech Connect (OSTI)

    Moses Charikar

    2006-04-03

    This report describes the progress made during the Early Career Principal Investigator (ECPI) project on Algorithmic Techniques for Large Data Sets. Research was carried out in the areas of dimension reduction, clustering and finding structure in data, aggregating information from different sources and designing efficient methods for similarity search for high dimensional data. A total of nine different research results were obtained and published in leading conferences and journals.

  13. Automated Algorithm for MFRSR Data Analysis

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Automated Algorithm for MFRSR Data Analysis M. D. Alexandrov and B. Cairns Columbia University and National Aeronautics and Space Administration Goddard Institute for Space Studies New York, New York A. A. Lacis and B. E. Carlson National Aeronautics and Space Administration Goddard Institute for Space Studies New York, New York A. Marshak National Aeronautics and Space Administration Goddard Space Flight Center Greenbelt, Maryland We present a substantial upgrade of our previously developed

  14. Scaling Up Coordinate Descent Algorithms for Large ?1 Regularization Problems

    SciTech Connect (OSTI)

    Scherrer, Chad; Halappanavar, Mahantesh; Tewari, Ambuj; Haglin, David J.

    2012-07-03

    We present a generic framework for parallel coordinate descent (CD) algorithms that has as special cases the original sequential algorithms of Cyclic CD and Stochastic CD, as well as the recent parallel Shotgun algorithm of Bradley et al. We introduce two novel parallel algorithms that are also special cases---Thread-Greedy CD and Coloring-Based CD---and give performance measurements for an OpenMP implementation of these.

  15. New algorithms for the symmetric tridiagonal eigenvalue computation

    SciTech Connect (OSTI)

    Pan, V. |

    1994-12-31

    The author presents new algorithms that accelerate the bisection method for the symmetric eigenvalue problem. The algorithms rely on some new techniques, which include acceleration of Newton`s iteration and can also be further applied to acceleration of some other iterative processes, in particular, of iterative algorithms for approximating polynomial zeros.

  16. The Iron Spin Transition in the Earth's Lower Mantle

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The Iron Spin Transition in the Earth's Lower Mantle The Iron Spin Transition in the Earth's Lower Mantle Print Wednesday, 30 April 2008 00:00 It is now known that the iron present in minerals of the lower mantle of the Earth undergoes a pressure-induced transition with pairing of the spins of its 3d electrons. A team from the University of California, Berkeley, Tel Aviv University, and Lawrence Livermore National Laboratory has used x-ray diffraction at very high pressure to investigate the

  17. ARM - Field Campaign - Arctic Lower Troposphere Observed Structure (ALTOS)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govCampaignsArctic Lower Troposphere Observed Structure (ALTOS) Campaign Links Science Plan ALTOS Website Related Campaigns Supplement to Arctic Lower Troposphere Observed Structure (ALTOS) 2010.10.01, Verlinde, NSA Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Arctic Lower Troposphere Observed Structure (ALTOS) 2010.10.01 - 2010.12.31 Website : http://www.arm.gov/campaigns/altos/ Lead Scientist : Johannes Verlinde Abstract NOTE: An

  18. ARM - Field Campaign - Supplement to Arctic Lower Troposphere Observed

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Structure (ALTOS) govCampaignsSupplement to Arctic Lower Troposphere Observed Structure (ALTOS) Related Campaigns Arctic Lower Troposphere Observed Structure (ALTOS) 2010.10.01, Verlinde, NSA Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Supplement to Arctic Lower Troposphere Observed Structure (ALTOS) 2010.10.01 - 2010.12.31 Lead Scientist : Johannes Verlinde Abstract NOTE: An unfortunate incident in the early stages of ALTOS

  19. Project Reports for Lower Sioux Indian Community - 2010 Project |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Lower Sioux Indian Community - 2010 Project Project Reports for Lower Sioux Indian Community - 2010 Project Lower Sioux intends to continue its efforts to develop wind projects on its lands as a continuation of efforts begun roughly 20 years ago. Learn more about this project or find details in the below status reports. November 2009 status report (2.42 MB) October 2010 status report (688.59 KB) Final report (18.43 MB) More Documents & Publications Project Reports

  20. Frequency Stabilization in Non-linear MEMS and NEMS Oscillators...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    allows creating micro and nano mechanical oscillators with excellent frequency stability. ... A team of Argonne scientists has developed a method to make the micronano oscillators ...

  1. Availability of the National Energy Modeling System (NEMS) Archive

    Gasoline and Diesel Fuel Update (EIA)

    19 Table 6 Created on: 8/27/2016 11:18:10 AM Table 6. Gross withdrawals of natural gas in selected states and the Federal Gulf of Mexico, 2011-2016 (million cubic feet) Year and Month Alaska Arkansas California Colorado Kansas Louisiana Montana New Mexico North Dakota Ohio 2011 Total 3,162,922 1,076,757 279,130 1,649,306 309,952 3,040,523 79,506 1,287,682 157,025 78,858 2012 Total 3,164,791 1,146,168 246,822 1,709,376 296,299 2,955,437 66,954 1,276,296 258,568 84,482 2013 Total 3,215,358

  2. Natural Gas Transmission and Distribution Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Documents the archived version of the Natural Gas Transmission and Distribution Model that was used to produce the natural gas forecasts used in support of the Annual Energy Outlook 2014.

  3. Modeling Distributed Electricity Generation in the NEMS Buildings Models

    Reports and Publications (EIA)

    2011-01-01

    This paper presents the modeling methodology, projected market penetration, and impact of distributed generation with respect to offsetting future electricity needs and carbon dioxide emissions in the residential and commercial buildings sector in the Annual Energy Outlook 2000 (AEO2000) reference case.

  4. Analysis and Representation of Miscellaneous Electric Loads in NEMS -

    U.S. Energy Information Administration (EIA) Indexed Site

    Energy Information Administration Analysis & Projections Glossary ‚Äļ FAQS ‚Äļ Overview Projection Data Monthly short-term forecasts to 2016 Annual projections to 2040 International projections All projections reports Analysis & Projections Major Topics Most popular Annual Energy Outlook related Congressional & other requests International Energy Outlook related Presentations Recurring Short-Term Outlook Related Special outlooks Testimony All reports Browse by Tag Alphabetical

  5. U.S. Energy Information Administration NEMS Residential Demand...

    Gasoline and Diesel Fuel Update (EIA)

    Geothermal Heat Pump Natural Gas Heat Pump Variables: HSYSSHR 200678,eg,b,r Benchmarking Data from Short-Term Energy Outlook Definition: Housing unit energy consumption by...

  6. Frequency stabilization in nonlinear MEMS and NEMS oscillators

    DOE Patents [OSTI]

    Lopez, Omar Daniel; Antonio, Dario

    2014-09-16

    An illustrative system includes an amplifier operably connected to a phase shifter. The amplifier is configured to amplify a voltage from an oscillator. The phase shifter is operably connected to a driving amplitude control, wherein the phase shifter is configured to phase shift the amplified voltage and is configured to set an amplitude of the phase shifted voltage. The oscillator is operably connected to the driving amplitude control. The phase shifted voltage drives the oscillator. The oscillator is at an internal resonance condition, based at least on the amplitude of the phase shifted voltage, that stabilizes frequency oscillations in the oscillator.

  7. A Mobile Motion Analysis System Using Intertial Sensors for Analysis of Lower Limb Prosthetics

    SciTech Connect (OSTI)

    Mueller, John Kyle P; Ericson, Milton Nance; Farquhar, Ethan; Lind, Randall F; Evans III, Boyd Mccutchen

    2011-01-01

    Soldiers returning from the global war on terror requiring lower leg prosthetics generally have different concerns and requirements than the typical lower leg amputee. These subjects are usually young, wish to remain active and often desire to return to active military duty. As such, they demand higher performance from their prosthetics, but are at risk for chronic injury and joint conditions in their unaffected limb. Motion analysis is a valuable tool in assessing the performance of new and existing prosthetic technologies as well as the methods in fitting these devices to both maximize performance and minimize risk of injury for the individual soldier. We are developing a mobile, low-cost motion analysis system using inertial measurement units (IMUs) and two custom force sensors that detect ground reaction forces and moments on both the unaffected limb and prosthesis. IMUs were tested on a robot programmed to simulate human gait motion. An algorithm which uses a kinematic model of the robot and an extended Kalman filter (EKF) was used to convert the rates and accelerations from the gyro and accelerometer into joint angles. Compared to encoder data from the robot, which was considered the ground truth in this experiment, the inertial measurement system had a RMSE of <1.0 degree. Collecting kinematic and kinetic data without the restrictions and expense of a motion analysis lab could help researchers, designers and prosthetists advance prosthesis technology and customize devices for individuals. Ultimately, these improvements will result in better prosthetic performance for the military population.

  8. The Iron Spin Transition in the Earth's Lower Mantle

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    enough to require a partial revision of the most accepted model of the lower mantle composition. Pressure dependence of the density of (Mg1 -1 xFex)O (x 0.17 and 0.2) shows an...

  9. Lower Valley Energy Inc (Wyoming) | Open Energy Information

    Open Energy Info (EERE)

    Energy Inc Place: Wyoming Phone Number: 800 882 5875 Website: www.lvenergy.com Facebook: https:www.facebook.comLowerValleyEnergy Outage Hotline: 800 882 5875 References:...

  10. Lower 48 States Dry Natural Gas Expected Future Production (Billion...

    U.S. Energy Information Administration (EIA) Indexed Site

    Dry Natural Gas Expected Future Production (Billion Cubic Feet) Lower 48 States Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3...

  11. SRS Recovery Act Completes Major Lower Three Runs Project Cleanup...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Twenty miles long, Lower Three Runs leaves the main body of the 310-square mile site and runs through parts of Barnwell and Allendale Counties until it flows into the Savannah ...

  12. Sandia National Laboratories: Dirt-cheap catalyst may lower fuel...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Twitter YouTube Flickr RSS News Dirt-cheap catalyst may lower fuel costs for H2-powered cars By Neal Singer Photography By Randy Montoya Thursday, October 15, 2015 Dirt Cheap...

  13. Protecting Public Health through Cleaner Fuels and Lower Emissions...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    through Cleaner Fuels and Lower Emissions." Mr. Sarkar will speak on DOE's Co-Optimization of Fuels and Engines (Optima) program; this multi-year initiative aims to reduce...

  14. Manufacturing R&D Initiative Lowers Costs and Boosts Quality

    SciTech Connect (OSTI)

    2015-06-30

    Fact sheet that provides an overview of DOE's Manufacturing R&D Initiative, which supports projects aimed at developing better-performing, lower-cost solid-state lighting while encouraging engineering and manufacturing in the United States.

  15. Lower 48 States Total Natural Gas Underground Storage Capacity...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lower 48 States Total Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2012 8,842,950 8,854,720 8,854,720 ...

  16. Accurate Detection of Impurities in Hydrogen Fuel at Lower Cost...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Hydrogen and Fuel Cell Hydrogen and Fuel Cell Find More Like This Return to Search Accurate Detection of Impurities in Hydrogen Fuel at Lower Cost Advancing the science of fuel ...

  17. Lower 48 States Natural Gas Working Underground Storage (Billion...

    U.S. Energy Information Administration (EIA) Indexed Site

    Underground Storage (Billion Cubic Feet) Lower 48 States Natural Gas Working Underground Storage (Billion Cubic Feet) Year-Month Week 1 Week 2 Week 3 Week 4 Week 5 End Date Value...

  18. EV Community Readiness projects: New York City and Lower Hudson...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    City and Lower Hudson Valley Clean Communities, Inc. (NY, MA, PA); NYSERDA (ME, NH, VT, MA, RI, CT, NY, NJ, PA, DE, MD, DC) EV Community Readiness projects: New York City and ...

  19. Lower oil prices also cutting winter heating oil and propane...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    see even lower natural gas and heating oil bills this winter than previously expected ... said the average household heating with oil will experience a 41% drop in heating oil ...

  20. Lower Yellowstone R E A, Inc | Open Energy Information

    Open Energy Info (EERE)

    Inc Jump to: navigation, search Name: Lower Yellowstone R E A, Inc Place: Montana Phone Number: (406) 488-1602 Website: www.lyrec.com Facebook: https:www.facebook.com...

  1. Lower 48 States Coalbed Methane Proved Reserves (Billion Cubic...

    U.S. Energy Information Administration (EIA) Indexed Site

    Coalbed Methane Proved Reserves (Billion Cubic Feet) Lower 48 States Coalbed Methane Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 ...

  2. Upping Efficiency Standards, Lowering Utility Bills | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Upping Efficiency Standards, Lowering Utility Bills Upping Efficiency Standards, Lowering Utility Bills September 2, 2010 - 4:17pm Addthis Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs What does this mean for me? Using energy-efficient appliances is one of the easiest and most important ways consumers have to save money. Purchasing energy-efficient appliances is one of the easiest and most important ways consumers have to save money, reduce their electricity

  3. Optimizing Blast Furnace Operation to Increase Efficiency and Lower Costs |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Optimizing Blast Furnace Operation to Increase Efficiency and Lower Costs Optimizing Blast Furnace Operation to Increase Efficiency and Lower Costs cfd_blastfurnace.pdf (552.85 KB) More Documents & Publications Energy-Intensive Processes Portfolio: Addressing Key Energy Challenges Across U.S. Industry ITP Energy Intensive Processes: Energy-Intensive Processes Portfolio: Addressing Key Energy Challenges Across U.S. Industry EA-1745: Finding of No Significant Impact

  4. Fuel Cell Tax Incentives: How Monetization Lowers the Government Outlay |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Tax Incentives: How Monetization Lowers the Government Outlay Fuel Cell Tax Incentives: How Monetization Lowers the Government Outlay Presentation by Lee J. Peterson, Esq., Reznick Group, P.C. Presented at the HTAC meeting on February 19, 2009. Posted on this Web site with permission from the author. mt_petersen_htac_presentation.pdf (782.9 KB) More Documents & Publications QER - Comment of Energy Innovation 7 QER - Comment of Energy Innovation 6 From Cleanup to

  5. NREL: News - Hybrid Buses Operate With Lower Emissions, Greater Fuel

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Efficiency Hybrid Buses Operate With Lower Emissions, Greater Fuel Efficiency Golden, Colo., August 1, 2002 A recently released study by the U.S. Department of Energy's (DOE's) National Renewable Energy Laboratory (NREL) concludes that hybrid buses operate with lower emissions and greater fuel efficiency than conventional diesel buses. The yearlong evaluation of 10 prototype diesel hybrid-electric buses in the Metropolitan Transportation Authority's New York City Transit (NYCT) fleet of

  6. Energy Department Helping Lower Biofuel Costs for the Nation | Department

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of Energy Helping Lower Biofuel Costs for the Nation Energy Department Helping Lower Biofuel Costs for the Nation January 29, 2015 - 9:31am Addthis Biofuels are produced in a biorefinery (bottom left) from feedstocks such as corn stover (bottom right) and switchgrass (top left). Biofuels are produced in a biorefinery (bottom left) from feedstocks such as corn stover (bottom right) and switchgrass (top left). Alicia Moulton Communications Specialist, Bioenergy Technologies Office U.S.

  7. Energy Department Announces $25 Million to Lower Cost of Concentrating

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Solar Power | Department of Energy 5 Million to Lower Cost of Concentrating Solar Power Energy Department Announces $25 Million to Lower Cost of Concentrating Solar Power October 1, 2014 - 2:26pm Addthis Building on the Obama Administration's Climate Action Plan, the Energy Department today announced $25 million in funding to advance concentrating solar power (CSP) system technologies. This investment will fund research and development (R&D) projects to improve the performance and

  8. Innovative, Lower Cost Sensors and Controls Yield Better Energy Efficiency

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    | Department of Energy Innovative, Lower Cost Sensors and Controls Yield Better Energy Efficiency Innovative, Lower Cost Sensors and Controls Yield Better Energy Efficiency March 23, 2015 - 1:05pm Addthis ORNL researchers are experimenting with additive roll-to-roll manufacturing techniques to develop low-cost wireless sensors. ORNL√ʬĬôs Pooran Joshi shows how the process enables electronics components to be printed on flexible plastic substrates. Credit: Oak Ridge National Lab ORNL

  9. US-VISIT Identity Matching Algorithm Evaluation Program: ADIS Algorithm Evaluation Project Plan Update

    SciTech Connect (OSTI)

    Grant, C W; Lenderman, J S; Gansemer, J D

    2011-02-24

    This document is an update to the 'ADIS Algorithm Evaluation Project Plan' specified in the Statement of Work for the US-VISIT Identity Matching Algorithm Evaluation Program, as deliverable II.D.1. The original plan was delivered in August 2010. This document modifies the plan to reflect modified deliverables reflecting delays in obtaining a database refresh. This document describes the revised schedule of the program deliverables. The detailed description of the processes used, the statistical analysis processes and the results of the statistical analysis will be described fully in the program deliverables. The US-VISIT Identity Matching Algorithm Evaluation Program is work performed by Lawrence Livermore National Laboratory (LLNL) under IAA HSHQVT-07-X-00002 P00004 from the Department of Homeland Security (DHS).

  10. A Unified Differential Evolution Algorithm for Global Optimization

    SciTech Connect (OSTI)

    Qiang, Ji; Mitchell, Chad

    2014-06-24

    Abstract?In this paper, we propose a new unified differential evolution (uDE) algorithm for single objective global optimization. Instead of selecting among multiple mutation strategies as in the conventional differential evolution algorithm, this algorithm employs a single equation as the mutation strategy. It has the virtue of mathematical simplicity and also provides users the flexbility for broader exploration of different mutation strategies. Numerical tests using twelve basic unimodal and multimodal functions show promising performance of the proposed algorithm in comparison to convential differential evolution algorithms.

  11. Algorithmic crystal chemistry: A cellular automata approach

    SciTech Connect (OSTI)

    Krivovichev, S. V.

    2012-01-15

    Atomic-molecular mechanisms of crystal growth can be modeled based on crystallochemical information using cellular automata (a particular case of finite deterministic automata). In particular, the formation of heteropolyhedral layered complexes in uranyl selenates can be modeled applying a one-dimensional three-colored cellular automaton. The use of the theory of calculations (in particular, the theory of automata) in crystallography allows one to interpret crystal growth as a computational process (the realization of an algorithm or program with a finite number of steps).

  12. A Monte Carlo algorithm for degenerate plasmas

    SciTech Connect (OSTI)

    Turrell, A.E. Sherlock, M.; Rose, S.J.

    2013-09-15

    A procedure for performing Monte Carlo calculations of plasmas with an arbitrary level of degeneracy is outlined. It has possible applications in inertial confinement fusion and astrophysics. Degenerate particles are initialised according to the FermiĖDirac distribution function, and scattering is via a Pauli blocked binary collision approximation. The algorithm is tested against degenerate electronĖion equilibration, and the degenerate resistivity transport coefficient from unmagnetised first order transport theory. The code is applied to the cold fuel shell and alpha particle equilibration problem of inertial confinement fusion.

  13. Algorithms for Contact in a Mulitphysics Environment

    Energy Science and Technology Software Center (OSTI)

    2001-12-19

    Many codes require either a contact capability or a need to determine geometric proximity of non-connected topological entities (which is a subset of what contact requires). ACME is a library to provide services to determine contact forces and/or geometric proximity interactions. This includes generic capabilities such as determining points in Cartesian volumes, finding faces in Cartesian volumes, etc. ACME can be run in single or multi-processor mode (the basic algorithms have been tested up tomore¬†¬Ľ 4500 processors).¬ę¬†less

  14. Genetic Algorithm for Analysis of Abdominal Aortic Aneurysms in Radiology Reports

    SciTech Connect (OSTI)

    Patton, Robert M; Beckerman, Barbara G; Potok, Thomas E; Treadwell, Jim N

    2010-01-01

    An abdominal aortic aneurysm is a problem in which the wall of the artery that supplies blood to the abdomen and lower extremities expands under pressure or balloons outward. Patients must undergo surgery to repair such aneurysm, and there is currently no known indicator of success or failure from this surgery. Our work uses a genetic algorithm to analyze radiology reports from these patients to look for common patterns in the language used as well as common features of both successful and unsuccessful surgieries. The results of the genetic algorithm show that patients with complications or unusual characteristics can be identified from a set of radiology reports without the use of search keywords, clustering, categorization, or ontology. This allows medical researchers to search and identify interesting patient records without the need for explicitly defining what interesting patient records are.

  15. Easy and hard testbeds for real-time search algorithms

    SciTech Connect (OSTI)

    Koenig, S.; Simmons, R.G.

    1996-12-31

    Although researchers have studied which factors influence the behavior of traditional search algorithms, currently not much is known about how domain properties influence the performance of real-time search algorithms. In this paper we demonstrate, both theoretically and experimentally, that Eulerian state spaces (a super set of undirected state spaces) are very easy for some existing real-time search algorithms to solve: even real-time search algorithms that can be intractable, in general, are efficient for Eulerian state spaces. Because traditional real-time search testbeds (such as the eight puzzle and gridworlds) are Eulerian, they cannot be used to distinguish between efficient and inefficient real-time search algorithms. It follows that one has to use non-Eulerian domains to demonstrate the general superiority of a given algorithm. To this end, we present two classes of hard-to-search state spaces and demonstrate the performance of various real-time search algorithms on them.

  16. An Adaptive Unified Differential Evolution Algorithm for Global Optimization

    SciTech Connect (OSTI)

    Qiang, Ji; Mitchell, Chad

    2014-11-03

    In this paper, we propose a new adaptive unified differential evolution algorithm for single-objective global optimization. Instead of the multiple mutation strate- gies proposed in conventional differential evolution algorithms, this algorithm employs a single equation unifying multiple strategies into one expression. It has the virtue of mathematical simplicity and also provides users the flexibility for broader exploration of the space of mutation operators. By making all control parameters in the proposed algorithm self-adaptively evolve during the process of optimization, it frees the application users from the burden of choosing appro- priate control parameters and also improves the performance of the algorithm. In numerical tests using thirteen basic unimodal and multimodal functions, the proposed adaptive unified algorithm shows promising performance in compari- son to several conventional differential evolution algorithms.

  17. Instrument design and optimization using genetic algorithms

    SciTech Connect (OSTI)

    Hoelzel, Robert; Bentley, Phillip M.; Fouquet, Peter

    2006-10-15

    This article describes the design of highly complex physical instruments by using a canonical genetic algorithm (GA). The procedure can be applied to all instrument designs where performance goals can be quantified. It is particularly suited to the optimization of instrument design where local optima in the performance figure of merit are prevalent. Here, a GA is used to evolve the design of the neutron spin-echo spectrometer WASP which is presently being constructed at the Institut Laue-Langevin, Grenoble, France. A comparison is made between this artificial intelligence approach and the traditional manual design methods. We demonstrate that the search of parameter space is more efficient when applying the genetic algorithm, and the GA produces a significantly better instrument design. Furthermore, it is found that the GA increases flexibility, by facilitating the reoptimization of the design after changes in boundary conditions during the design phase. The GA also allows the exploration of 'nonstandard' magnet coil geometries. We conclude that this technique constitutes a powerful complementary tool for the design and optimization of complex scientific apparatus, without replacing the careful thought processes employed in traditional design methods.

  18. SCDAP/RELAP5 Lower Core Plate Model

    SciTech Connect (OSTI)

    Coryell, Eric Wesley; Griffin, F. P.

    1999-10-01

    The SCDAP/RELAP5 computer code is a best-estimate analysis tool for performing nuclear reactor severe accident simulations. This report describes the justification, theory, implementation, and testing of a new modeling capability which will refine the analysis of the movement of molten material from the core region to the vessel lower head. As molten material moves from the core region through the core support structures it may encounter conditions which will cause it to freeze in the region of the lower core plate, delaying its arrival to the vessel head. The timing of this arrival is significant to reactor safety, because during the time span for material relocation to the lower head, the core may be experiencing steam-limited oxidation. The time at which hot material arrives in a coolant-filled lower vessel head, thereby significantly increasing the steam flow rate through the core region, becomes significant to the progression and timing of a severe accident. This report is a revision of a report INEEL/EXT-00707, entitled "Preliminary Design Report for SCDAP/RELAP5 Lower Core Plate Model".

  19. SCDAP/RELAP5 lower core plate model

    SciTech Connect (OSTI)

    Coryell, E.W.; Griffin, F.P.

    1999-09-01

    The SCDAP/RELAP5 computer code is a best-estimate analysis tool for performing nuclear reactor severe accident simulations. This report describes the justification, theory, implementation, and testing of a new modeling capability which will refine the analysis of the movement of molten material from the core region to the vessel lower head. As molten material moves from the core region through the core support structures it may encounter conditions which will cause it to freeze in the region of the lower core plate, delaying its arrival to the vessel head. The timing of this arrival is significant to reactor safety, because during the time span for material relocation to the lower head, the core may be experiencing steam-limited oxidation. The time at which hot material arrives in a coolant-filled lower vessel head, thereby significantly increasing the steam flow rate through the core region, becomes significant to the progression and timing of a severe accident. This report is a revision of a report INEEL/EXT-00707, entitled ``Preliminary Design Report for SCDAP/RELAP5 Lower Core Plate Model''.

  20. New class of fuel cells offer increased flexibility, lower cost

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    New class of fuel cells offer increased flexibility, lower cost New class of fuel cells offer increased flexibility, lower cost A new class of fuel cells based on a newly discovered polymer-based material could bridge the gap between the operating temperature ranges of two existing types of polymer fuel cells. August 23, 2016 Yu Seung Kim (left) and Kwan-Soo Lee (right) Yu Seung Kim (left) and Kwan-Soo Lee (right) Contact Nancy Ambrosiano Communications Office (505) 667-0471 Email

  1. Maryland Small Business Helping Lower Solar Costs | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Maryland Small Business Helping Lower Solar Costs Maryland Small Business Helping Lower Solar Costs January 12, 2010 - 9:14am Addthis Joshua DeLung One potential problem with going solar across America is that the up-front costs of installing solar panels are often too high for the average consumer. Though panels can produce mounds of energy savings over a long period of time, the expense of installation is still too high for many. However, stimulus funding awarded to a small, Maryland-based

  2. The Iron Spin Transition in the Earth's Lower Mantle

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The Iron Spin Transition in the Earth's Lower Mantle Print It is now known that the iron present in minerals of the lower mantle of the Earth undergoes a pressure-induced transition with pairing of the spins of its 3d electrons. A team from the University of California, Berkeley, Tel Aviv University, and Lawrence Livermore National Laboratory has used x-ray diffraction at very high pressure to investigate the effects of this transition on the elastic properties of magnesiow√ľstite (Mg1-xFex)O,

  3. The Iron Spin Transition in the Earth's Lower Mantle

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The Iron Spin Transition in the Earth's Lower Mantle Print It is now known that the iron present in minerals of the lower mantle of the Earth undergoes a pressure-induced transition with pairing of the spins of its 3d electrons. A team from the University of California, Berkeley, Tel Aviv University, and Lawrence Livermore National Laboratory has used x-ray diffraction at very high pressure to investigate the effects of this transition on the elastic properties of magnesiow√ľstite (Mg1-xFex)O,

  4. The Iron Spin Transition in the Earth's Lower Mantle

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The Iron Spin Transition in the Earth's Lower Mantle Print It is now known that the iron present in minerals of the lower mantle of the Earth undergoes a pressure-induced transition with pairing of the spins of its 3d electrons. A team from the University of California, Berkeley, Tel Aviv University, and Lawrence Livermore National Laboratory has used x-ray diffraction at very high pressure to investigate the effects of this transition on the elastic properties of magnesiow√ľstite (Mg1-xFex)O,

  5. The Iron Spin Transition in the Earth's Lower Mantle

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The Iron Spin Transition in the Earth's Lower Mantle Print It is now known that the iron present in minerals of the lower mantle of the Earth undergoes a pressure-induced transition with pairing of the spins of its 3d electrons. A team from the University of California, Berkeley, Tel Aviv University, and Lawrence Livermore National Laboratory has used x-ray diffraction at very high pressure to investigate the effects of this transition on the elastic properties of magnesiow√ľstite (Mg1-xFex)O,

  6. Household heating bills expected to be lower this winter

    U.S. Energy Information Administration (EIA) Indexed Site

    Household heating bills expected to be lower this winter U.S. consumers are expected to pay less this winter on their home heating bills because of lower oil and natural gas prices and projected milder temperatures than last winter. In its new forecast, the U.S. Energy Information Administration said households that rely on heating oil which are mainly located in the Northeast will pay the lowest heating expenditures in 9 years down 25% from last winter as consumers are expected to save about

  7. The Iron Spin Transition in the Earth's Lower Mantle

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The Iran Deal is Working The Iran Deal is Working Addthis Topic Nuclear Security & Safety Since the Iran Deal came into effect in October 2015, the International Atomic Energy Agency (IAEA) verified that Iran undertook critical steps to ensure its four pathways to a nuclear bomb are blocked. Watch to see how the Iran Deal is working

    The Iron Spin Transition in the Earth's Lower Mantle Print It is now known that the iron present in minerals of the lower mantle of the Earth undergoes a

  8. The Iron Spin Transition in the Earth's Lower Mantle

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The Iron Spin Transition in the Earth's Lower Mantle Print It is now known that the iron present in minerals of the lower mantle of the Earth undergoes a pressure-induced transition with pairing of the spins of its 3d electrons. A team from the University of California, Berkeley, Tel Aviv University, and Lawrence Livermore National Laboratory has used x-ray diffraction at very high pressure to investigate the effects of this transition on the elastic properties of magnesiow√ľstite (Mg1-xFex)O,

  9. The Iron Spin Transition in the Earth's Lower Mantle

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The Iron Spin Transition in the Earth's Lower Mantle Print It is now known that the iron present in minerals of the lower mantle of the Earth undergoes a pressure-induced transition with pairing of the spins of its 3d electrons. A team from the University of California, Berkeley, Tel Aviv University, and Lawrence Livermore National Laboratory has used x-ray diffraction at very high pressure to investigate the effects of this transition on the elastic properties of magnesiow√ľstite (Mg1-xFex)O,

  10. Daylighting simulation: methods, algorithms, and resources

    SciTech Connect (OSTI)

    Carroll, William L.

    1999-12-01

    This document presents work conducted as part of Subtask C, ''Daylighting Design Tools'', Subgroup C2, ''New Daylight Algorithms'', of the IEA SHC Task 21 and the ECBCS Program Annex 29 ''Daylight in Buildings''. The search for and collection of daylighting analysis methods and algorithms led to two important observations. First, there is a wide range of needs for different types of methods to produce a complete analysis tool. These include: Geometry; Light modeling; Characterization of the natural illumination resource; Materials and components properties, representations; and Usability issues (interfaces, interoperability, representation of analysis results, etc). Second, very advantageously, there have been rapid advances in many basic methods in these areas, due to other forces. They are in part driven by: The commercial computer graphics community (commerce, entertainment); The lighting industry; Architectural rendering and visualization for projects; and Academia: Course materials, research. This has led to a very rich set of information resources that have direct applicability to the small daylighting analysis community. Furthermore, much of this information is in fact available online. Because much of the information about methods and algorithms is now online, an innovative reporting strategy was used: the core formats are electronic, and used to produce a printed form only secondarily. The electronic forms include both online WWW pages and a downloadable .PDF file with the same appearance and content. Both electronic forms include live primary and indirect links to actual information sources on the WWW. In most cases, little additional commentary is provided regarding the information links or citations that are provided. This in turn allows the report to be very concise. The links are expected speak for themselves. The report consists of only about 10+ pages, with about 100+ primary links, but with potentially thousands of indirect links. For purposes of

  11. Component evaluation testing and analysis algorithms.

    SciTech Connect (OSTI)

    Hart, Darren M.; Merchant, Bion John

    2011-10-01

    The Ground-Based Monitoring R&E Component Evaluation project performs testing on the hardware components that make up Seismic and Infrasound monitoring systems. The majority of the testing is focused on the Digital Waveform Recorder (DWR), Seismic Sensor, and Infrasound Sensor. In order to guarantee consistency, traceability, and visibility into the results of the testing process, it is necessary to document the test and analysis procedures that are in place. Other reports document the testing procedures that are in place (Kromer, 2007). This document serves to provide a comprehensive overview of the analysis and the algorithms that are applied to the Component Evaluation testing. A brief summary of each test is included to provide the context for the analysis that is to be performed.

  12. Automated DNA Base Pair Calling Algorithm

    Energy Science and Technology Software Center (OSTI)

    1999-07-07

    The procedure solves the problem of calling the DNA base pair sequence from two channel electropherogram separations in an automated fashion. The core of the program involves a peak picking algorithm based upon first, second, and third derivative spectra for each electropherogram channel, signal levels as a function of time, peak spacing, base pair signal to noise sequence patterns, frequency vs ratio of the two channel histograms, and confidence levels generated during the run. Themore¬†¬Ľ ratios of the two channels at peak centers can be used to accurately and reproducibly determine the base pair sequence. A further enhancement is a novel Gaussian deconvolution used to determine the peak heights used in generating the ratio.¬ę¬†less

  13. Neurons to algorithms LDRD final report.

    SciTech Connect (OSTI)

    Rothganger, Fredrick H.; Aimone, James Bradley; Warrender, Christina E.; Trumbo, Derek

    2013-09-01

    Over the last three years the Neurons to Algorithms (N2A) LDRD project teams has built infrastructure to discover computational structures in the brain. This consists of a modeling language, a tool that enables model development and simulation in that language, and initial connections with the Neuroinformatics community, a group working toward similar goals. The approach of N2A is to express large complex systems like the brain as populations of a discrete part types that have specific structural relationships with each other, along with internal and structural dynamics. Such an evolving mathematical system may be able to capture the essence of neural processing, and ultimately of thought itself. This final report is a cover for the actual products of the project: the N2A Language Specification, the N2A Application, and a journal paper summarizing our methods.

  14. Improved lower bound on the entropic uncertainty relation

    SciTech Connect (OSTI)

    Jafarpour, Mojtaba; Sabour, Abbass

    2011-09-15

    We present a lower bound on the entropic uncertainty relation for the distinguished measurements of two observables in a d-dimensional Hilbert space for d up to 5. This bound provides an improvement over the best one yet available. The feasibility of the obtained bound presenting an improvement for higher dimensions is also discussed.

  15. Critical dynamics of cluster algorithms in the dilute Ising model

    SciTech Connect (OSTI)

    Hennecke, M. Universitaet Karlsruhe ); Heyken, U. )

    1993-08-01

    Autocorrelation times for thermodynamic quantities at [Tc] are calculated from Monte Carlo simulations of the site-diluted simple cubic Ising model, using the Swendsen-Wand and Wolff cluster algorithms. The results show that for these algorithms the autocorrelation times decrease when reducing the concentration of magnetic sites from 100% down to 40%. This is of crucial importance when estimating static properties of the model, since the variances of these estimators increase with autocorrelation time. The dynamical critical exponents are calculated for both algorithms, observing pronounced finite-size effects in the energy autocorrelation data for the algorithm of Wolff. It is concluded that, when applied to the dilute Ising model, cluster algorithms become even more effective than local algorithms, for which increasing autocorrelation times are expected. 33 refs., 5 figs., 2 tabs.

  16. Lower granite GIS data description and collection guidelines

    SciTech Connect (OSTI)

    Gordon, J.L.; Evans, B.J.; Perry, E.M.

    1995-12-01

    The Lower Granite Geographic Information System (GIS) was developed jointly by the US Army Corps of Engineers (USCOE) Walla Walla District and the Pacific Northwest Laboratory (PNL). The goal of the project is to use GIS technology to analyze impacts of the drawdown mitigation option on the physical and biological environment of the Lower Granite Reservoir. The drawdown mitigation option is based on the hypothesis that faster juvenile salmon travel to the ocean would result in higher juvenile survival and greater smolt-to-adult return ratios; to accomplish this, reservoir elevations would be lowered to increase channel velocities. Altering the elevation of the reservoirs on the Snake River is expected to have a variety of impacts to the Physical environment including changes to water velocity, temperature, dissolved gases, and turbidity. The GIS was developed to evaluate these changes and the resulting impacts on the anadromous and resident fish of the Snake River, as well as other aquatic organisms and terrestrial wildlife residing in the adjacent riparian areas. The Lower Granite GIS was developed using commercial hardware and software and is supported by a commercial relational database. Much of the initial system development involved collecting and incorporating data describing the river channel characteristics, hydrologic properties, and aquatic ecology. Potentially meaningful data for the Lower Granite GIS were identified and an extensive data search was performed. Data were obtained from scientists who are analyzing the habitats, limnology, and hydrology of the Snake River. The next six sections of this document describe the bathymetry, fish abundance, substrate, sediment chemistry, and channel hydrology data.

  17. New Design Methods and Algorithms for Multi-component Distillation

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Processes | Department of Energy Design Methods and Algorithms for Multi-component Distillation Processes New Design Methods and Algorithms for Multi-component Distillation Processes multicomponent.pdf (517.32 KB) More Documents & Publications Development of Method and Algorithms To Identify Easily Implementable Energy-Efficient Low-Cost Multicomponent Distillation Column Trains With Large Energy Savings For Wide Number of Separations CX-100137 Categorical Exclusion Determination ITP

  18. Solar and Moon Position Algorithm (SAMPA) - Energy Innovation Portal

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Energy Analysis Energy Analysis Find More Like This Return to Search Solar and Moon Position Algorithm (SAMPA) National Renewable Energy Laboratory Contact NREL About This Technology Technology Marketing Summary This algorithm calculates the solar and lunar zenith and azimuth angles in the period from the year -2000 to 6000, with uncertainties of +/- 0.0003 degrees for the Sun and +/- 0.003 degrees for the Moon, based on the date, time, and location on Earth. Description The algorithm can be

  19. Development of an Outdoor Temperature-Based Control Algorithm...

    Office of Scientific and Technical Information (OSTI)

    Development of an Outdoor Temperature-Based Control Algorithm for Residential Mechanical Ventilation Control Citation Details In-Document Search Title: Development of an Outdoor ...

  20. A modern solver framework to manage solution algorithms in the...

    Office of Scientific and Technical Information (OSTI)

    A modern solver framework to manage solution algorithms in the Community Earth System Model Citation Details In-Document Search Title: A modern solver framework to manage solution ...

  1. Algorithm for Finding Similar Shapes in Large Molecular Structures Libraries

    Energy Science and Technology Software Center (OSTI)

    1994-10-19

    The SHAPES software consists of methods and algorithms for representing and rapidly comparing molecular shapes. Molecular shapes algorithms are a class of algorithm derived and applied for recognizing when two three-dimensional shapes share common features. They proceed from the notion that the shapes to be compared are regions in three-dimensional space. The algorithms allow recognition of when localized subregions from two or more different shapes could never be superimposed by any rigid-body motion. Rigid-body motionsmore¬†¬Ľ are arbitrary combinations of translations and rotations.¬ę¬†less

  2. DEVELOPMENT OF METHOD AND ALGORITHMS TO IDENTIFY EASILY IMPLEMENTABLE...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Purdue researchers will team with an IT company to develop a user-friendly interface for the algorithm and to better address software development and commercialization issues. The ...

  3. A sequential implicit algorithm of chemo-thermo-poro-mechanics...

    Office of Scientific and Technical Information (OSTI)

    A sequential implicit algorithm of chemo-thermo-poro-mechanics for fractured geothermal ...emo-thermo-poro-mechanics for fractured geothermal reservoirs Authors: Kim, Jihoon ; ...

  4. Numerical Analysis of Fixed Point Algorithms in the Presence...

    Office of Scientific and Technical Information (OSTI)

    in the Presence of Hardware Faults Citation Details In-Document Search Title: Numerical Analysis of Fixed Point Algorithms in the Presence of Hardware Faults You are ...

  5. Evaluation of Monte Carlo Electron-Transport Algorithms in the...

    Office of Scientific and Technical Information (OSTI)

    Series Codes for Stochastic-Media Simulations. Citation Details In-Document Search Title: Evaluation of Monte Carlo Electron-Transport Algorithms in the Integrated Tiger Series ...

  6. Use of a Radon Stripping Algorithm for Retrospective Assessment...

    Office of Scientific and Technical Information (OSTI)

    and beta spectroscopy system employing a passive implanted planar silicon (PIPS) detector. ... MODIFICATIONS; PROGENY; RADON; SILICON air monitoring, radon, algorithm, PIPS, ...

  7. Problems Found Using a Radon Stripping Algorithm for Retrospective...

    Office of Scientific and Technical Information (OSTI)

    and beta spectroscopy system employing a passive implanted planar silicon (PIPS) detector. ... MODIFICATIONS; PROGENY; RADON; SILICON air monitoring, radon, algorithm, PIPS, ...

  8. A robust return-map algorithm for general multisurface plasticity

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Adhikary, Deepak P.; Jayasundara, Chandana T.; Podgorney, Robert K.; Wilkins, Andy H.

    2016-06-16

    Three new contributions to the field of multisurface plasticity are presented for general situations with an arbitrary number of nonlinear yield surfaces with hardening or softening. A method for handling linearly dependent flow directions is described. A residual that can be used in a line search is defined. An algorithm that has been implemented and comprehensively tested is discussed in detail. Examples are presented to illustrate the computational cost of various components of the algorithm. The overall result is that a single Newton-Raphson iteration of the algorithm costs between 1.5 and 2 times that of an elastic calculation. Examples alsomore¬†¬Ľ illustrate the successful convergence of the algorithm in complicated situations. For example, without using the new contributions presented here, the algorithm fails to converge for approximately 50% of the trial stresses for a common geomechanical model of sedementary rocks, while the current algorithm results in complete success. Since it involves no approximations, the algorithm is used to quantify the accuracy of an efficient, pragmatic, but approximate, algorithm used for sedimentary-rock plasticity in a commercial software package. Furthermore, the main weakness of the algorithm is identified as the difficulty of correctly choosing the set of initially active constraints in the general setting.¬ę¬†less

  9. An optimal point spread function subtraction algorithm for high...

    Office of Scientific and Technical Information (OSTI)

    An optimal point spread function subtraction algorithm for high-contrast imaging: a ... This image is built as a linear combination of all available images and is optimized ...

  10. Use of a Radon Stripping Algorithm for Retrospective Assessment...

    Office of Scientific and Technical Information (OSTI)

    using a commercial alpha and beta spectroscopy system employing a passive implanted ... FLOW; ALGORITHMS; BETA SOURCES; BETA SPECTROSCOPY; EVALUATION; MODIFICATIONS; PROGENY; ...

  11. EnPI V4.0 Tool Algorithm

    Broader source: Energy.gov [DOE]

    This document provides background information and detail about the algorithms and calculations that drive the Energy Performance Indicator (EnPI) Tool.

  12. NREL: Awards and Honors - Current Interrupt Charging Algorithm...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Current Interrupt Charging Algorithm for Lead-Acid Batteries Developers: Matthew A. Keyser, Ahmad A. Pesaran, and Mark M. Mihalic, National Renewable Energy Laboratory; Robert F....

  13. PREPRINT An Efficient Algorithm for Geocentric to Geodetic Coordinate...

    Office of Scientific and Technical Information (OSTI)

    Correlation. Datum Transformation, Modeling and Simulation Interoperability ABSTRACT ... This algorithm is discussed in the context of machines that have FPUs and legacy machines ...

  14. An investigation of Newton-Krylov algorithms for solving incompressible and low Mach number compressible fluid flow and heat transfer problems using finite volume discretization

    SciTech Connect (OSTI)

    McHugh, P.R.

    1995-10-01

    Fully coupled, Newton-Krylov algorithms are investigated for solving strongly coupled, nonlinear systems of partial differential equations arising in the field of computational fluid dynamics. Primitive variable forms of the steady incompressible and compressible Navier-Stokes and energy equations that describe the flow of a laminar Newtonian fluid in two-dimensions are specifically considered. Numerical solutions are obtained by first integrating over discrete finite volumes that compose the computational mesh. The resulting system of nonlinear algebraic equations are linearized using Newton`s method. Preconditioned Krylov subspace based iterative algorithms then solve these linear systems on each Newton iteration. Selected Krylov algorithms include the Arnoldi-based Generalized Minimal RESidual (GMRES) algorithm, and the Lanczos-based Conjugate Gradients Squared (CGS), Bi-CGSTAB, and Transpose-Free Quasi-Minimal Residual (TFQMR) algorithms. Both Incomplete Lower-Upper (ILU) factorization and domain-based additive and multiplicative Schwarz preconditioning strategies are studied. Numerical techniques such as mesh sequencing, adaptive damping, pseudo-transient relaxation, and parameter continuation are used to improve the solution efficiency, while algorithm implementation is simplified using a numerical Jacobian evaluation. The capabilities of standard Newton-Krylov algorithms are demonstrated via solutions to both incompressible and compressible flow problems. Incompressible flow problems include natural convection in an enclosed cavity, and mixed/forced convection past a backward facing step.

  15. Lowering critical cooling rate for forming bulk metallic glass

    SciTech Connect (OSTI)

    Shen, T.D.; Schwarz, R.B. [MS G755, MST-8, Materials Science and Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States)

    2006-02-27

    Small volumes of Pd{sub 44}Ni{sub 10}Cu{sub 26}P{sub 20} and Pd{sub 43.2}Ni{sub 8.8}Cu{sub 28}P{sub 20} were encapsulated in B{sub 2}O{sub 3} and thermally cycled between T{sub g}-60 deg. C and T{sub l}+60 deg. C, where T{sub g} and T{sub l} denote the alloys' glass transition and liquidus temperatures. After this thermal treatment, the critical cooling rates (CCRs) for glass formation can be lowered by an order of magnitude, resulting in a critical cooling rate significantly lower than that reported for any other glass forming alloy melt. These experiments demonstrate that the CCR is not constant but strongly dependent on the degree of heterogeneous nucleation.

  16. Oxygen enhanced switching to combustion of lower rank fuels

    DOE Patents [OSTI]

    Kobayashi, Hisashi; Bool, III, Lawrence E.; Wu, Kuang Tsai

    2004-03-02

    A furnace that combusts fuel, such as coal, of a given minimum energy content to obtain a stated minimum amount of energy per unit of time is enabled to combust fuel having a lower energy content, while still obtaining at least the stated minimum energy generation rate, by replacing a small amount of the combustion air fed to the furnace by oxygen. The replacement of oxygen for combustion air also provides reduction in the generation of NOx.

  17. Project Reports for Lower Brule Sioux Tribe- 2003 Project

    Broader source: Energy.gov [DOE]

    The Lower Brule Sioux tribal reservation comprises 230,000 acres along the west bank of Lake Francis Case and Lake Sharpe, which were created by the Fort Randall and Big Bend dams of the Missouri. The tribe will assess the feasibility of using pumped-storage hydroelectric power to increase the value of wind-generated electricity. The proposed project would use a pump-back storage reservoir and hydroelectric turbines to supply power when the wind slows or stops.

  18. Lower Cost, Nanoporous Block Copolymer Battery Separator - Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Innovation Portal Lower Cost, Nanoporous Block Copolymer Battery Separator Lawrence Berkeley National Laboratory Contact LBL About This Technology Publications: PDF Document Publication A.K. Jha, S.L. Tsang, A.E. Ozcam, R.D. Offeman, N.P. Balsara. "Master Curve Captures the Effect of Domain Morphology on Ethanol Pervaporation Through Block Copolymer Membranes," Journal of Membrane Science, published online, 2011. (695 KB) Technology Marketing Summary Although the polyolefin polymer

  19. Alternatives Generation and Analysis for Lower Knuckle Ultrasonic Testing Technology

    SciTech Connect (OSTI)

    WOLFF, J.J.

    2001-02-21

    Environmental regulations applicable to the River Protection Project require integrity assessment of the double-shell tank (DST) system. In the early 1990s a strategy and plans were developed to conduct the required tank system examinations and integrity assessments. This included plans to conduct ultrasonic testing of six DSTs. In 1997, an ad hoc committee (Tank Structural Integrity Panel, TSIP) working under the direction of the Office of Environmental Restoration and Waste Management, U.S. Department of Energy, published guidelines for managing risks associated with aging degradation of high level waste storage tanks. This included recommendations on non-destructive examination of specific regions of tanks. For the lower knuckle region, defined as the curved transition from the vertical portion of the tank wall to the flat portion of the tank bottom, the TSIP guidelines contained the following recommendation: ''Examine the lower knuckle region including 5% of the length of the upper weld, at least 2.5% of the area of the predicted maximum stress region of the knuckle base metal and 2.5% of the lower weld if accessible. Emphasis should be on weld/HAZ cracking such as SCC. If the lower weld is not accessible, one-square-foot sections whose length adds up to 5% of the circumference of the knuckle base metal shall be examined.'' Also in 1997, the U.S. Department of Energy and Washington Department of Ecology formalized an agreement on the DST system integrity assessment work scope required to satisfy the applicable regulatory requirements. This cited the TSIP guidelines, and included an agreement to conduct ultrasonic examination on six representative DSTs for determination and extent of cracks, corrosion, and pitting.

  20. Energy Savings Week: Lowering Energy Bills with Efficient Home Heating

    Broader source: Energy.gov [DOE]

    With winter in full swing in many parts of the U.S., your thermostat may be getting more attention than usual. Whether you have a furnace, boiler, or heat pump system, you want to make sure your home stays warm‚ÄĒespecially as holiday guests arrive. Fortunately, the Energy Department‚Äôs efforts to improve efficiency standards is paying dividends with energy bills associated with heating and appliances lower compared to past holiday seasons.

  1. Optimizing Blast Furnace Operation to Increase Efficiency and Lower Costs

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Optimizing Blast Furnace Operation to Increase Efficiency and Lower Costs State-of-the-Art Computational Fluid Dynamics Model Optimizes Fuel Rate in Blast Furnaces The blast furnace (BF) is the most widely used ironmaking process in the U.S. A major advance in BF ironmaking has been the use of pulverized coal which partially replaces metallurgi- cal coke. This results in substantial improvement in furnace effciency and thus the reductions of energy consumption and greenhouse gas emissions.

  2. High natural gas output and inventories contribute to lower prices

    U.S. Energy Information Administration (EIA) Indexed Site

    High natural gas output and inventories contribute to lower prices High natural gas production and ample gas inventories are expected to keep natural gas prices relatively low for the rest of 2015. In its new monthly forecast, the U.S. Energy Information Administration says that while expected production growth is slowing from last year's torrid pace, domestic natural gas production in 2015 is still expected to be almost 6 percent above the 2014 level. Higher production has pushed U.S. natural

  3. A lower cost development path for heavy ion fusion

    SciTech Connect (OSTI)

    Hogan, W.J.; Meier, W.R.

    1993-05-19

    If two features of the inertial fusion process are exploited successfully, they can lead to significantly lower costs for demonstrating the feasibility of commercial electric power production from this source of energy. First, fusion capsule ignition and burn physics is independent of reaction chamber size and hydrodynamically-equivalent capsules can be designed to perform at small yield, exactly as they do at large yield. This means that an integrated test of all power plant components and feasibility tests of various reaction chamber concepts can be done at much smaller sizes (about 1--2 m first wall radius) and much lower powers (tens of MWs) than magnetic fusion development facilities such as ITER. Second, the driver, which is the most expensive component of currently conceived IFE development facilities, can be used to support more than one experiment target chamber/reactor (simultaneously and/or sequentially). These two factors lead to lower development facility costs, modular facilities, and the planning flexibility to spread costs over time or do several things in parallel and thus shorten the total time needed for development of Inertial Fusion Energy (IFE). In this paper the authors describe the general feature of a heavy ion fusion development plan that takes advantage of upgradable accelerators and the ability to test chambers and reactor systems at small scale in order to reduce development time and costs.

  4. Lower Columbia River Terminal Fisheries Research Project : Final Environmental Assessment.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1995-04-01

    This notice announces BPA`S`s decision to fund the Oregon Department of Fish and Wildlife (ODFW), the Washington Department of Fish and Wildlife (WDFW), and the Clatsop Economic Development Committee for the Lower Columbia River Terminal Fisheries Research Project (Project). The Project will continue the testing of various species/stocks, rearing regimes, and harvest options for terminal fisheries, as a means to increase lower river sport and commercial harvest of hatchery fish, while providing both greater protection of weaker wild stocks and increasing the return of upriver salmon runs to potential Zone 6 Treaty fisheries. The Project involves relocating hatchery smolts to new, additional pen locations in three bays/sloughs in the lower Columbia River along both the Oregon and Washington sides. The sites are Blind Slough and Tongue Point in Clatsop County, Oregon, and Grays Bay/Deep River, Wahkiakum County, Washington. The smolts will be acclimated for various lengths of time in the net pens and released from these sites. The Project will expand upon an existing terminal fisheries project in Youngs Bay, Oregon. The Project may be expanded to other sites in the future, depending on the results of this initial expansion. BPA`S has determined the project is not a major Federal action significantly affecting the quality of the human environment, within the meaning of the National Environmental Policy Act (NEPA) of 1969. Therefore, the preparation of an environmental impact statement is not required, and BPA`S is issuing this FONSI.

  5. Environmental audit, Bonneville Power Administration, lower Columbia area

    SciTech Connect (OSTI)

    Not Available

    1990-11-01

    This report documents the results of the US Department of Energy's (DOE's) Environmental Audit conducted by the DOE Headquarters Office of Environmental Audit within the Bonneville Power Administration's (BPA's) Lower Columbia Area. The BPA facilities included in the Audit are the Ross Complex in Vancouver, Washington; the substations of North Bonneville, North Bonneville Annex, Camas, and Longview within the state of Washington; and the Acton and Troutdale Substations within the state of Oregon. The independent Audit was conducted by a team of professionals from DOE and contractors. The purpose of the Audit is to provide the Secretary of Energy, Admiral James D. Watkins, Ret., with the status of environmental programs within BPA's Lower Columbia Area. The Environmental Audit team identified 25 findings dealing with the lack of conformance with federal and state laws and regulations and DOE Orders, and 7 findings in which BMPs were not attained. Although all findings require corrective action, none required cessation of operations or reflect situations that present an immediate risk to public health or the environment. The Audit team noted inadequacies in PCB management included storage, labeling, reporting, and spill control. The most significant causal factors for the findings include lack of policy implementation throughout the Lower Columbia Area, inadequate training of personnel charged with environmental protection, lack of standard operating procedures for many programs, lack of reviews and appraisals, and an inaccurate perception of low risk for environmental concerns.

  6. Electronic spin state of iron in lower mantle perovskite

    SciTech Connect (OSTI)

    Li, J.; Struzhkin, V.; Mao, H.-k.; Shu, J.; Hemley, R.; Fei, Y.; Mysen, B.; Dera, P.; Parapenka, V.; Shen, G.

    2010-11-16

    The electronic spin state of iron in lower mantle perovskite is one of the fundamental parameters that governs the physics and chemistry of the most voluminous and massive shell in the Earth. We present experimental evidence for spin-pairing transition in aluminum-bearing silicate perovskite (Mg,Fe)(Si,Al)O{sub 3} under the lower mantle pressures. Our results demonstrate that as pressure increases, iron in perovskite transforms gradually from the initial high-spin state toward the final low-spin state. At 100 GPa, both aluminum-free and aluminum-bearing samples exhibit a mixed spin state. The residual magnetic moment in the aluminum-bearing perovskite is significantly higher than that in its aluminum-free counterpart. The observed spin evolution with pressure can be explained by the presence of multiple iron species and the occurrence of partial spin-paring transitions in the perovskite. Pressure-induced spin-pairing transitions in the perovskite would have important bearing on the magnetic, thermoelastic, and transport properties of the lower mantle, and on the distribution of iron in the Earth's interior. The lower mantle constitutes more than half of the Earth's interior by volume (1), and it is believed to consist predominantly (80-100%) of (Mg,Fe)(Si,Al)O{sub 3} perovskite (hereafter called perovskite), with up to 20% (Mg,Fe)O ferropericlase (2). The electronic spin state of iron has direct influence on the physical properties and chemical behavior of its host phase. Hence, knowledge on the spin state of iron is important for the interpretation of seismic observations, geochemical modeling, and geodynamic simulation of the Earth's deep interior (3, 4). Crystal field theory (4, 5) and band theory (6) predicted that a high-spin to low-spin transition would occur as a result of compression. To date, no experimental data exist on the spin sate of iron in Al-bearing perovskite. To detect possible spinpairing transition of iron in perovskite under the lower mantle

  7. Development of Speckle Interferometry Algorithm and System

    SciTech Connect (OSTI)

    Shamsir, A. A. M.; Jafri, M. Z. M.; Lim, H. S.

    2011-05-25

    Electronic speckle pattern interferometry (ESPI) method is a wholefield, non destructive measurement method widely used in the industries such as detection of defects on metal bodies, detection of defects in intergrated circuits in digital electronics components and in the preservation of priceless artwork. In this research field, this method is widely used to develop algorithms and to develop a new laboratory setup for implementing the speckle pattern interferometry. In speckle interferometry, an optically rough test surface is illuminated with an expanded laser beam creating a laser speckle pattern in the space surrounding the illuminated region. The speckle pattern is optically mixed with a second coherent light field that is either another speckle pattern or a smooth light field. This produces an interferometric speckle pattern that will be detected by sensor to count the change of the speckle pattern due to force given. In this project, an experimental setup of ESPI is proposed to analyze a stainless steel plate using 632.8 nm (red) wavelength of lights.

  8. Adaptive path planning algorithm for cooperating unmanned air vehicles

    SciTech Connect (OSTI)

    Cunningham, C T; Roberts, R S

    2001-02-08

    An adaptive path planning algorithm is presented for cooperating Unmanned Air Vehicles (UAVs) that are used to deploy and operate land-based sensor networks. The algorithm employs a global cost function to generate paths for the UAVs, and adapts the paths to exceptions that might occur. Examples are provided of the paths and adaptation.

  9. An Adaptive Path Planning Algorithm for Cooperating Unmanned Air Vehicles

    SciTech Connect (OSTI)

    Cunningham, C.T.; Roberts, R.S.

    2000-09-12

    An adaptive path planning algorithm is presented for cooperating Unmanned Air Vehicles (UAVs) that are used to deploy and operate land-based sensor networks. The algorithm employs a global cost function to generate paths for the UAVs, and adapts the paths to exceptions that might occur. Examples are provided of the paths and adaptation.

  10. Nuclear magnetic resonance implementation of a quantum clock synchronization algorithm

    SciTech Connect (OSTI)

    Zhang Jingfu; Long, G.C; Liu Wenzhang; Deng Zhiwei; Lu Zhiheng

    2004-12-01

    The quantum clock synchronization (QCS) algorithm proposed by Chuang [Phys. Rev. Lett. 85, 2006 (2000)] has been implemented in a three qubit nuclear magnetic resonance quantum system. The time difference between two separated clocks can be determined by measuring the output states. The experimental realization of the QCS algorithm also demonstrates an application of the quantum phase estimation.

  11. ON THE VERIFICATION AND VALIDATION OF GEOSPATIAL IMAGE ANALYSIS ALGORITHMS

    SciTech Connect (OSTI)

    Roberts, Randy S.; Trucano, Timothy G.; Pope, Paul A.; Aragon, Cecilia R.; Jiang , Ming; Wei, Thomas; Chilton, Lawrence; Bakel, A. J.

    2010-07-25

    Verification and validation (V&V) of geospatial image analysis algorithms is a difficult task and is becoming increasingly important. While there are many types of image analysis algorithms, we focus on developing V&V methodologies for algorithms designed to provide textual descriptions of geospatial imagery. In this paper, we present a novel methodological basis for V&V that employs a domain-specific ontology, which provides a naming convention for a domain-bounded set of objects and a set of named relationship between these objects. We describe a validation process that proceeds through objectively comparing benchmark imagery, produced using the ontology, with algorithm results. As an example, we describe how the proposed V&V methodology would be applied to algorithms designed to provide textual descriptions of facilities

  12. An efficient parallel algorithm for matrix-vector multiplication

    SciTech Connect (OSTI)

    Hendrickson, B.; Leland, R.; Plimpton, S.

    1993-03-01

    The multiplication of a vector by a matrix is the kernel computation of many algorithms in scientific computation. A fast parallel algorithm for this calculation is therefore necessary if one is to make full use of the new generation of parallel supercomputers. This paper presents a high performance, parallel matrix-vector multiplication algorithm that is particularly well suited to hypercube multiprocessors. For an n x n matrix on p processors, the communication cost of this algorithm is O(n/[radical]p + log(p)), independent of the matrix sparsity pattern. The performance of the algorithm is demonstrated by employing it as the kernel in the well-known NAS conjugate gradient benchmark, where a run time of 6.09 seconds was observed. This is the best published performance on this benchmark achieved to date using a massively parallel supercomputer.

  13. A new augmentation based algorithm for extracting maximal chordal subgraphs

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Bhowmick, Sanjukta; Chen, Tzu-Yi; Halappanavar, Mahantesh

    2014-10-18

    If every cycle of a graph is chordal length greater than three then it contains an edge between non-adjacent vertices. Chordal graphs are of interest both theoretically, since they admit polynomial time solutions to a range of NP-hard graph problems, and practically, since they arise in many applications including sparse linear algebra, computer vision, and computational biology. A maximal chordal subgraph is a chordal subgraph that is not a proper subgraph of any other chordal subgraph. Existing algorithms for computing maximal chordal subgraphs depend on dynamically ordering the vertices, which is an inherently sequential process and therefore limits the algorithms‚Äômore¬†¬Ľ parallelizability. In our paper we explore techniques to develop a scalable parallel algorithm for extracting a maximal chordal subgraph. We demonstrate that an earlier attempt at developing a parallel algorithm may induce a non-optimal vertex ordering and is therefore not guaranteed to terminate with a maximal chordal subgraph. We then give a new algorithm that first computes and then repeatedly augments a spanning chordal subgraph. After proving that the algorithm terminates with a maximal chordal subgraph, we then demonstrate that this algorithm is more amenable to parallelization and that the parallel version also terminates with a maximal chordal subgraph. That said, the complexity of the new algorithm is higher than that of the previous parallel algorithm, although the earlier algorithm computes a chordal subgraph which is not guaranteed to be maximal. Finally, we experimented with our augmentation-based algorithm on both synthetic and real-world graphs. We provide scalability results and also explore the effect of different choices for the initial spanning chordal subgraph on both the running time and on the number of edges in the maximal chordal subgraph.¬ę¬†less

  14. Lower Flathead System Fisheries Study, 1984 Annual Report.

    SciTech Connect (OSTI)

    Darling, James E.; Pajak, Paul; Wunderlich, Mary P.

    1984-12-01

    This study was undertaken to assess the effects of Kerr Dam operations on the fisheries of the Lower Flathead System. Supported by Bonneville Power Administration funding, and conducted by the Confederated Salish and Kootenai Tribes, the study began in December of 1982 and is scheduled for completion in December of 1987. This report covers the 1983-84 field season and includes the status of target fish species populations in the Flathead River and tributaries, and initial work in South Bay of Flathead Lake. Additionally it addresses how Kerr operations may effect the reproduction of salmonids and northern pike. Combined trout population estimates for rainbow, brown, brook, and bull trout, averaged 13 fish/km of the lower Flathead River. The number of bull trout and cutthroat trout captured was so low that estimation of their individual populations was not possible. An interim closure to trout harvest on the lower Flathead River was recommended and approved by the Tribal Council until study results can be further analyzed and management options reviewed. Population estimates for northern pike ranged from six/kilometer in poorer habitat, to one hundred three/km in the best habitat in the main Flathead River. Seven pike were radio tagged and their movements monitored. Movements of over 89 km were recorded. One fish left the Flathead River and moved down the Clark Fork to the Plains area. Fish weirs were constructed on the Jocko River and Mission Creek to assess spawning runs of trout from the main river. Thirty-two adult rainbow passed the Jocko weir and twenty-eight passed the Mission weir during the spring spawning season. Twenty adult brown trout were captured at the Jocko weir and five at Mission weir in the fall. The Jocko weir suffered minor damage due to bed load movement during high flows of spring runoff. The structure of trout populations in the lower Flathead River points to spawning and recruitment problems caused by hydroelectric operations and

  15. NETL Sorbents Licensed to Help Lower Power Draw of HVAC

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Sorbents Licensed To Help Lower Power Draw of HVAC Success Story NETL has licensed one of its patented CO 2 - removal sorbents to Boston-based technology company enVerid Systems. enVerid has adopted the sorbent for use in their proprietary Heat Load Reduction (HLR) module, a retrofit air-recirculation system it designed to increase the energy efficiency of commercial HVAC (heating, ventilation, and air conditioning) systems. HVAC is one of the largest draws of electric power in the United

  16. Protecting Public Health through Cleaner Fuels and Lower Emissions

    Broader source: Energy.gov [DOE]

    Reuben Sarkar, the Energy Department‚Äôs (DOE‚Äôs) Deputy Assistant Secretary for Sustainable Transportation, will take part in an Environmental and Energy Study Institute panel on the health and environmental benefits of cleaner octane sources in fuel, ‚ÄúProtecting Public Health through Cleaner Fuels and Lower Emissions.‚ÄĚ Mr. Sarkar will speak on DOE‚Äôs Co-Optimization of Fuels and Engines (Co-Optima) program; this multi-year initiative aims to reduce petroleum consumption by 30% beyond currently mandated engine efficiency measures by 2030 through the co-optimization of new advanced high octane fuels and engines.

  17. Fuel Cell Tax Incentives: How Monetization Lowers the Government Outlay

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Tax Incentives: How Monetization Lowers the Government Outlay By: Lee J. Peterson, Esq. Reznick Group, P.C. February 19, 2009 The Big Picture: Financing with Private Capital Income/Excise Tax Credits Depreciation Deductions - Regular and Accelerated Income Exclusions CREBS Income/Premium State Tax Credits Sales/Property Tax Exemptions Grants/Subsidies Rebates Buy-Downs Loan Guarantees REC Sales Tax-Exempt Debt Financing C F S B R T B R G Building Business Value February 19, 2009 1 § 45

  18. Scaling of lower hybrid current drive with temperature

    SciTech Connect (OSTI)

    Harvey, R.W. ); McCoy, M.G. ); Ram, A.K.; Bers, A. ); Fuchs, V. )

    1992-06-01

    The 3-D Fokker-Planck/quasilinear code (CQL3D) is used to study the temperature scaling of lower hybrid current drive (LHCD) in the JET and JT-60 experiments. An offset-linear increase of current drive efficiency is obtained as a function of volume average temperature {l angle}T{sub e}{r angle} up to {approximately} 2.5, and reduced rate of efficiency increase is found at higher temperatures. The LHCD results indicate some fast wave/LH current drive synergy in the JET LH/FW experiments; however, code results discussed here show that synergy is not due to TTMP damping of the fast wave.

  19. Nonlinear lower hybrid oscillations in a cold viscous plasma

    SciTech Connect (OSTI)

    Maity, Chandan; Chakrabarti, Nikhil

    2011-12-15

    An analytical description of nonlinear lower hybrid oscillations in a cold quasi-neutral plasma in the presence of viscosity is presented in one spatial dimension by using Lagrangian variables. By treating viscosity coefficients of the electron and ion fluids as inversely proportional to their respective densities, an exact solution is obtained. It is found that the damping rate of such oscillations is directly proportional to the effective viscosity coefficients of electron and ion fluids. A possible implication of such solutions is briefly outlined.

  20. Lower 48 Federal Offshore Natural Gas Plant Liquids, Reserves Based

    Gasoline and Diesel Fuel Update (EIA)

    Production (Million Barrels) Expected Future Production (Million Barrels) Lower 48 Federal Offshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 363 382 350 331 337 1990's 295 329 295 309 309 239 245 389 370 427 2000's 515 486 511 364 423 416 399 369 321 302 2010's 341 355 405 335 399 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  1. Lower 48 States Natural Gas Liquids Lease Condensate, Reserves Based

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Lower 48 States Coalbed Methane Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 19,892 19,620 21,874 20,798 18,578 2010's 17,508 16,817 13,591 12,392 15,696 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane Proved Reserves as of

  2. Lower 48 States Natural Gas Plant Liquids, Reserves Based Production

    Gasoline and Diesel Fuel Update (EIA)

    (Million Barrels) Reserves Based Production (Million Barrels) Lower 48 States Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 579 1980's 572 580 564 568 597 580 566 569 572 549 1990's 556 577 599 608 608 616 655 655 631 649 2000's 688 655 657 593 627 597 615 637 654 701 2010's 734 773 854 920 1,107 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  3. Lower Atmospheric Boundary Layer Experiment (LABLE) Final Campaign Report

    SciTech Connect (OSTI)

    Klein, P; Bonin, TA; Newman, JF; Turner, DD; Chilson, P; Blumberg, WG; Mishra, S; Wainwright, CE; Carney, M; Jacobsen, EP; Wharton, S

    2015-11-01

    The Lower Atmospheric Boundary Layer Experiment (LABLE) included two measurement campaigns conducted at the Atmospheric Radiation Measurement (ARM) Southern Great Plains site in Oklahoma during 2012 and 2013. LABLE was designed as a multi-phase, low-cost collaboration among the University of Oklahoma, the National Severe Storms Laboratory, Lawrence Livermore National Laboratory, and the ARM program. A unique aspect was the role of graduate students in LABLE. They served as principal investigators and took the lead in designing and conducting experiments using different sampling strategies to best resolve boundary-layer phenomena.

  4. Lower 48 States Crude Oil + Lease Condensate Proved Reserves (Million

    U.S. Energy Information Administration (EIA) Indexed Site

    Barrels) + Lease Condensate Proved Reserves (Million Barrels) Lower 48 States Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 18,749 2010's 21,459 25,098 30,051 33,622 37,076 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease

  5. Lower 48 States Shale Proved Reserves (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) Indexed Site

    Shale Proved Reserves (Billion Cubic Feet) Lower 48 States Shale Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 23,304 34,428 60,644 2010's 97,449 131,616 129,396 159,115 199,684 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas Proved Reserves as of Dec. 31

  6. More wind generation means lower GHG emissions, right?

    SciTech Connect (OSTI)

    2010-11-15

    The answer to what will be the net effect of an x percent increase in wind generation on GHG emissions in a given system is not a simple y percent -- but is likely to depend on many variables, assumptions, modeling, and number crunching. But the result is important, and hence there has been a flurry of contradictory studies, confusing policymakers and the general public alike. While one can certainly find exceptions, under most circumstances, more renewable generation can be expected to result in lower GHG emissions.

  7. Lower-Temperature Subsurface Layout and Ventilation Concepts

    SciTech Connect (OSTI)

    Christine L. Linden; Edward G. Thomas

    2001-06-20

    This analysis combines work scope identified as subsurface facility (SSF) low temperature (LT) Facilities System and SSF LT Ventilation System in the Technical Work Plan for Subsurface Design Section FY 01 Work Activities (CRWMS M&O 2001b, pp. 6 and 7, and pp. 13 and 14). In accordance with this technical work plan (TWP), this analysis is performed using AP-3.10Q, Analyses and Models. It also incorporates the procedure AP-SI.1Q, Software Management. The purpose of this analysis is to develop an overall subsurface layout system and the overall ventilation system concepts that address a lower-temperature operating mode for the Monitored Geologic Repository (MGR). The objective of this analysis is to provide a technical design product that supports the lower-temperature operating mode concept for the revision of the system description documents and to provide a basis for the system description document design descriptions. The overall subsurface layout analysis develops and describes the overall subsurface layout, including performance confirmation facilities (also referred to as Test and Evaluation Facilities) for the Site Recommendation design. This analysis also incorporates current program directives for thermal management.

  8. Penetration of lower hybrid current drive waves in tokamaks

    SciTech Connect (OSTI)

    Horton, W.; Aix-Marseille University, 58, Bd Charles Livon, 13284 Marseille ; Goniche, M.; Peysson, Y.; Decker, J.; Ekedahl, A.; Litaudon, X.

    2013-11-15

    Lower hybrid (LH) ray propagation in toroidal plasma is shown to be controlled by combination of the azimuthal spectrum launched by the antenna, the poloidal variation of the magnetic field, and the scattering of the waves by the drift wave fluctuations. The width of the poloidal and radial radio frequency wave spectrum increases rapidly as the rays penetrate into higher density and scatter from the drift waves. The electron temperature gradient (ETG) spectrum is particularly effective in scattering the LH waves due to its comparable wavelengths and phase velocities. ETG turbulence is also driven by the radial gradient of the electron current profile giving rise to an anomalous viscosity spreading the LH driven plasma currents. The LH wave scattering is derived from a Fokker-Planck equation for the distribution of the ray trajectories with diffusivities derived from the drift wave fluctuations. The condition for chaotic diffusion for the rays is derived. The evolution of the poloidal and radial mode number spectrum of the lower hybrid waves are both on the antenna spectrum and the spectrum of the drift waves. Antennas launching higher poloidal mode number spectra drive off-axis current density profiles producing negative central shear [RS] plasmas with improved thermal confinement from ETG transport. Core plasma current drive requires antennas with low azimuthal mode spectra peaked at m = 0 azimuthal mode numbers.

  9. Lower Flathead System Fisheries Study, 1986 Interim Report.

    SciTech Connect (OSTI)

    Bradshaw, William H.; DosSantos, Joseph M.; Darling, James M.

    1986-08-01

    We believe our results have clearly shown Kerr hydroelectric operations and operational constraints have negatively affected Flathead River trout and northern pike populations and the aquatic habitat which support them. Even so, it is possible to mitigate many of these impacts and develop a very important fishery. Trout abundance in the lower Flathead averaged only 19 fish per kilometer, the lowest abundance of trout for a river of this size in Montana. Little main channel spawning by trout was observed and most spawning probably occurs in tributaries. Lower river tributaries support resident populations of brook, rainbow, brown, and cutthroat trout; and a small resident population of bull trout is present in the South Fork of the Jocko River. Using weirs, spawning runs of rainbow and brown trout from the main river were monitored entering the Jocko River and the Post/Mission Creek system. Utilization of Crow Creek by main river trout stocks of trout was limited to the 6 km segment below Crow Dam. Evaluations of tributary spawning gravels showed high levels of silt which would suggest poor survival of trout eggs. Excessive harvest in the tributaries was indicated by analysis of age class structure and abundance of trout greater than 200 mm.

  10. Transgenic Plants Lower the Costs of Cellulosic Biofuels (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-11-01

    A new transgenic maize was observed to be less recalcitrant than wild-type biomass, as manifested through lower severity requirements to achieve comparable levels of conversion. Expression of a single gene derived from bacteria in plants has resulted in transgenic plants that are easier and cheaper to convert into biofuels. Part of the high production cost of cellulosic biofuels is the relatively poor accessibility of substrates to enzymes due to the strong associations between plant cell wall components. This biomass recalcitrance makes costly thermochemical pretreatment necessary. Scientists at the National Renewable Energy Laboratory (NREL) have created transgenic maize expressing an active glycosyl hydrolase enzyme, E1 endoglucanase, originally isolated from a thermophilic bacterium, Acidothermus cellulolyticus. This engineered feedstock was observed to be less recalcitrant than wild-type biomass when subjected to reduced severity pretreatments and post-pretreatment enzymatic hydrolysis. This reduction in recalcitrance was manifested through lower severity requirements to achieve comparable levels of conversion of wild-type biomass. The improvements observed are significant enough to positively affect the economics of the conversion process through decreased capital construction costs and decreased degradation products and inhibitor formation.

  11. Lower hybrid system design for the Tokamak physics experiment

    SciTech Connect (OSTI)

    Goranson, P.L.; Conner, D.L.; Swain, D.W.; Yugo, J.J.; Bernabei, S.; Greenough, N.

    1995-12-31

    The lower hybrid (LH) launcher configuration has been redesigned to integrate the functions of the vertical four-way power splitter and the front waveguide array (front array). This permits 256 waveguide channels to be fed by only 64 waveguides at the vacuum window interface. The resulting configuration is a more compact coupler, which incorporates the simplicity of a multijunction coupler while preserving the spectral flexibility of a conventional lower hybrid launcher. Other spin-offs of the redesign are reduction in thermal incompatibility between the front array and vacuum windows, improved maintainability, in situ vacuum window replacement, a reduced number of radio frequency (rf) connections, and a weight reduction of 7300 kg. There should be a significant cost reduction as well. Issues associated with the launcher design and fabrication have been addressed by a research and development program that includes brazing of the front array and testing of the power splitter configuration to confirm that phase errors due to reflections in the shorted splitter legs will not significantly impact the rf spectrum. The Conceptual Design Review requires that radiation levels at the torus radial port mounting flange and outer surface of the toroidal field coils should be sufficiently low to permit hands-on maintenance. Low activation materials and neutron shielding are incorporated in the launcher design to meet these requirements. The launcher is configured to couple 3 MW of steady state LH heating/LH current drive power at 3.7 GHz to the Tokamak Physics Experiment plasma.

  12. A Decision Theoretic Approach to Evaluate Radiation Detection Algorithms

    SciTech Connect (OSTI)

    Nobles, Mallory A.; Sego, Landon H.; Cooley, Scott K.; Gosink, Luke J.; Anderson, Richard M.; Hays, Spencer E.; Tardiff, Mark F.

    2013-07-01

    There are a variety of sensor systems deployed at U.S. border crossings and ports of entry that scan for illicit nuclear material. In this work, we develop a framework for comparing the performance of detection algorithms that interpret the output of these scans and determine when secondary screening is needed. We optimize each algorithm to minimize its risk, or expected loss. We measure an algorithmís risk by considering its performance over a sample, the probability distribution of threat sources, and the consequence of detection errors. While it is common to optimize algorithms by fixing one error rate and minimizing another, our framework allows one to simultaneously consider multiple types of detection errors. Our framework is flexible and easily adapted to many different assumptions regarding the probability of a vehicle containing illicit material, and the relative consequences of a false positive and false negative errors. Our methods can therefore inform decision makers of the algorithm family and parameter values which best reduce the threat from illicit nuclear material, given their understanding of the environment at any point in time. To illustrate the applicability of our methods, in this paper, we compare the risk from two families of detection algorithms and discuss the policy implications of our results.

  13. Two linear time, low overhead algorithms for graph layout

    Energy Science and Technology Software Center (OSTI)

    2008-01-10

    The software comprises two algorithms designed to perform a 2D layout of a graph structure in time linear with respect to the vertices and edges in the graph, whereas most other layout algorithms have a running time that is quadratic with respect to the number of vertices or greater. Although these layout algorithms run in a fraction of the time as their competitors, they provide competitive results when applied to most real-world graphs. These algorithmsmore¬†¬Ľ also have a low constant running time and small memory footprint, making them useful for small to large graphs.¬ę¬†less

  14. Genetic Algorithm Based Neural Networks for Nonlinear Optimization

    Energy Science and Technology Software Center (OSTI)

    1994-09-28

    This software develops a novel approach to nonlinear optimization using genetic algorithm based neural networks. To our best knowledge, this approach represents the first attempt at applying both neural network and genetic algorithm techniques to solve a nonlinear optimization problem. The approach constructs a neural network structure and an appropriately shaped energy surface whose minima correspond to optimal solutions of the problem. A genetic algorithm is employed to perform a parallel and powerful search ofmore¬†¬Ľ the energy surface.¬ę¬†less

  15. Separation and concentration of lower alcohols from dilute aqueous solutions

    DOE Patents [OSTI]

    Moore, Raymond H.; Eakin, David E.; Baker, Eddie G.; Hallen, Richard T.

    1991-01-01

    A process for producing, from a dilute aqueous solution of a lower (C.sub.1 -C.sub.5) alcohol, a concentrated liquid solution of the alcohol in an aromatic organic solvent is disclosed. Most of the water is removed from the dilute aqueous solution of alcohol by chilling sufficiently to form ice crystals. Simultaneously, the remaining liquid is extracted at substantially the same low temperature with a liquid organic solvent that is substantially immiscible in aqueous liquids and has an affinity for the alcohol at that temperature, causing the alcohol to transfer to the organic phase. After separating the organic liquid from the ice crystals, the organic liquid can be distilled to enrich the concentration of alcohol therein. Ethanol so separated from water and concentrated in an organic solvent such as toluene is useful as an anti-knock additive for gasoline.

  16. Density gradient effects on transverse shear driven lower hybrid waves

    SciTech Connect (OSTI)

    DuBois, Ami M.; Thomas, Edward; Amatucci, William E.; Ganguli, Gurudas

    2014-06-15

    Shear driven instabilities are commonly observed in the near-Earth space, particularly in boundary layer plasmas. When the shear scale length (L{sub E}) is much less than the ion gyro-radius (?{sub i}) but greater than the electron gyro-radius (?{sub e}), the electrons are magnetized in the shear layer, but the ions are effectively un-magnetized. The resulting shear driven instability, the electron-ion hybrid (EIH) instability, is investigated in a new interpenetrating plasma configuration in the Auburn Linear EXperiment for Instability Studies. In order to understand the dynamics of magnetospheric boundary layers, the EIH instability is studied in the presence of a density gradient located at the boundary layer between two plasmas. This paper reports on a recent experiment in which electrostatic lower hybrid waves are identified as the EIH instability, and the effect of a density gradient on the instability properties are investigated.

  17. Geology of the lower Yellow Creek Area, Northwestern Colorado

    SciTech Connect (OSTI)

    Hail, W.J.

    1990-01-01

    The lower Yellow Creek area is located in Rio Blanco and Moffat Counties of northwestern Colorado, about midway between the towns of Rangely and Meeker. The study area is in the northwestern part of the Piceance Creek basin, a very deep structural and sedimentary basin that formed during the Laramide orogeny. Potentially important resources in the area are oil shale and related minerals, oil and gas, coal, and uranium. Topics discussed in the report include: Stratigraphy (Subsurface rocks, Cretaceous rocks, Tertiary rocks, and Quaternary deposits); Structure (Midland anticline, graben at Pinyon Ridge, and Crooked Wash syncline, Folds and faults in the vicinity of the White River, Red Wash syncline and central graben zone, Yellow Creek anticlinal nose); Economic geology (Oil shale and associated minerals, Coal, Oil and gas, Uranium, Gravel).

  18. Lower 48 States Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Lower 48 States Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 32,208 1980's 33,443 32,870 31,268 31,286 30,282 29,515 28,684 27,457 26,609 26,611 1990's 26,242 25,088 24,701 23,551 23,913 24,532 24,715 24,666

  19. Lower 48 States Natural Gas Plant Liquids, Proved Reserves (Million

    Gasoline and Diesel Fuel Update (EIA)

    (Million Barrels) Expected Future Production (Million Barrels) Lower 48 States Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 5,191 1980's 5,187 5,478 5,611 6,280 6,121 6,109 6,348 6,327 6,448 6,000 1990's 5,944 5,860 5,878 5,709 5,722 5,896 6,179 6,001 5,868 6,112 2000's 6,596 6,190 6,243 5,857 6,338 6,551 6,795 7,323 7,530 8,258 2010's 9,521 10,537 10,489 11,655 14,788 - = No Data

  20. Lower 48 States Crude Oil Reserves in Nonproducing Reservoirs (Million

    U.S. Energy Information Administration (EIA) Indexed Site

    Barrels) Reserves in Nonproducing Reservoirs (Million Barrels) Lower 48 States Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA NA 3,341 3,274 2000's 3,508 4,806 4,725 4,846 4,436 5,096 4,732 5,055 4,871 5,382 2010's 6,358 8,483 11,082 12,561 14,268 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  1. Lower 48 States Natural Gas Liquids Lease Condensate, Proved Reserves

    U.S. Energy Information Administration (EIA) Indexed Site

    (Million Barrels) Liquids Lease Condensate, Proved Reserves (Million Barrels) Lower 48 States Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,401 1980's 1,530 1,580 1,601 1,613 1,503 1,452 1,436 1,402 1,389 1,389 1990's 1,302 1,244 1,226 1,192 1,147 1,197 1,307 1,341 1,336 1,403 2000's 1,472 1,398 1,346 1,215 1,221 1,262 1,339 1,495 1,433 1,633 2010's 1,914 2,370 2,858 3,149 3,546 -

  2. Lower 48 States Natural Gas Plant Liquids, Expected Future Production

    U.S. Energy Information Administration (EIA) Indexed Site

    (Million Barrels) Plant Liquids, Expected Future Production (Million Barrels) Lower 48 States Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 5,191 1980's 5,187 5,478 5,611 6,280 6,121 6,109 6,348 6,327 6,448 6,000 1990's 5,944 5,860 5,878 5,709 5,722 5,896 6,179 6,001 5,868 6,112 2000's 6,596 6,190 6,243 5,857 6,338 6,551 6,795 7,323 7,530 8,258 2010's 9,521 10,537 10,489 11,655

  3. Lower 48 States Nonassociated Natural Gas, Wet After Lease Separation,

    U.S. Energy Information Administration (EIA) Indexed Site

    Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Lower 48 States Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 143,852 1980's 139,421 143,515 142,984 143,469 141,226 138,464 139,070 135,256 141,211 139,798 1990's 141,941 140,584 138,883 136,953 138,213 139,369 141,136 140,382 139,015

  4. Lower-Energy Energy Storage System (LEESS) Component Evaluation

    SciTech Connect (OSTI)

    Gonder, J.; Cosgrove, J.; Shi, Y.; Saxon, A.; Pesaran, A.

    2014-10-01

    Alternate hybrid electric vehicle (HEV) energy storage systems (ESS) such as lithium-ion capacitors (LICs) and electrochemical double-layer capacitor (EDLC) modules have the potential for improved life, superior cold temperature performance, and lower long-term cost projections relative to traditional battery storage systems. If such lower-energy ESS (LEESS) devices can also be shown to maintain high HEV fuel savings, future HEVs designed with these devices could have an increased value proposition relative to conventional vehicles. NREL's vehicle test platform is helping validate the in-vehicle performance capability of alternative LEESS devices and identify unforeseen issues. NREL created the Ford Fusion Hybrid test platform for in-vehicle evaluation of such alternative LEESS devices, bench testing of the initial LIC pack, integration and testing of the LIC pack in the test vehicle, and bench testing and installation of an EDLC module pack. EDLC pack testing will continue in FY15. The in-vehicle LIC testing results suggest technical viability of LEESS devices to support HEV operation. Several LIC configurations tested demonstrated equivalent fuel economy and acceleration performance as the production nickel-metal-hydride ESS configuration across all tests conducted. The lowest energy LIC scenario demonstrated equivalent performance over several tests, although slightly higher fuel consumption on the US06 cycle and slightly slower acceleration performance. More extensive vehicle-level calibration may be able to reduce or eliminate these performance differences. The overall results indicate that as long as critical attributes such as engine start under worst case conditions can be retained, considerable ESS downsizing may minimally impact HEV fuel savings.

  5. Wavelet Algorithm for Feature Identification and Image Analysis

    Energy Science and Technology Software Center (OSTI)

    2005-10-01

    WVL are a set of python scripts based on the algorithm described in "A novel 3D wavelet-based filter for visualizing features in noisy biological data, " W. C. Moss et al., J. Microsc. 219, 43-49 (2005)

  6. Sandia Energy - Genetic Algorithm for Innovative Device Designs...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Genetic Algorithm for Innovative Device Designs in High-Efficiency III-V Nitride Light-Emitting Diodes Home Energy Solid-State Lighting News Energy Efficiency News & Events Genetic...

  7. Gacs quantum algorithmic entropy in infinite dimensional Hilbert spaces

    SciTech Connect (OSTI)

    Benatti, Fabio; Oskouei, Samad Khabbazi Deh Abad, Ahmad Shafiei

    2014-08-15

    We extend the notion of Gacs quantum algorithmic entropy, originally formulated for finitely many qubits, to infinite dimensional quantum spin chains and investigate the relation of this extension with two quantum dynamical entropies that have been proposed in recent years.

  8. Quantum noise properties of CT images with anatomical textured backgrounds across reconstruction algorithms: FBP and SAFIRE

    SciTech Connect (OSTI)

    Solomon, Justin; Samei, Ehsan

    2014-09-15

    reduced by an average of 60% in SAFIRE images compared to FBP. However, for edge pixels, noise magnitude ranged from 20% higher to 40% lower in SAFIRE images compared to FBP. SAFIRE images of the lung phantom exhibited distinct regions with varying noise texture (i.e., noise autocorrelation/power spectra). Conclusions: Quantum noise properties observed in uniform phantoms may not be representative of those in actual patients for nonlinear reconstruction algorithms. Anatomical texture should be considered when evaluating the performance of CT systems that use such nonlinear algorithms.

  9. New Algorithm Enables Faster Simulations of Ultrafast Processes

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Algorithm Enables Faster Simulations of Ultrafast Processes New Algorithm Enables Faster Simulations of Ultrafast Processes Opens the Door for Real-Time Simulations in Atomic-Level Materials Research February 20, 2015 Contact: Rachel Berkowitz, 510-486-7254, rberkowitz@lbl.gov femtosecondalgorithm copy Model of ion (Cl) collision with atomically thin semiconductor (MoSe2). Collision region is shown in blue and zoomed in; red points show initial positions of Cl. The simulation calculates the

  10. Development of Method and Algorithms To Identify Easily Implementable

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy-Efficient Low-Cost Multicomponent Distillation Column Trains With Large Energy Savings For Wide Number of Separations | Department of Energy Development of Method and Algorithms To Identify Easily Implementable Energy-Efficient Low-Cost Multicomponent Distillation Column Trains With Large Energy Savings For Wide Number of Separations Development of Method and Algorithms To Identify Easily Implementable Energy-Efficient Low-Cost Multicomponent Distillation Column Trains With Large

  11. MEMORANDUM OF UNDERSTANDING Between The Numerical Algorithms Group Ltd

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Between The Numerical Algorithms Group Ltd and The University of California, as Management and Operating Contractor for Lawrence Berkeley National Laboratory on a Visitor Exchange Program This Memorandum of Understanding (MOU) is by and between the Numerical Algorithms Group Ltd (NAG) with a registered address at: Wilkinson House, Jordan hill Road, Oxford, UK and the University of California, as Management and Operating Contractor for Lawrence Berkeley National Laboratory, including its

  12. Graphical representation of parallel algorithmic processes. Master's thesis

    SciTech Connect (OSTI)

    Williams, E.M.

    1990-12-01

    Algorithm animation is a visualization method used to enhance understanding of functioning of an algorithm or program. Visualization is used for many purposes, including education, algorithm research, performance analysis, and program debugging. This research applies algorithm animation techniques to programs developed for parallel architectures, with specific on the Intel iPSC/2 hypercube. While both P-time and NP-time algorithms can potentially benefit from using visualization techniques, the set of NP-complete problems provides fertile ground for developing parallel applications, since the combinatoric nature of the problems makes finding the optimum solution impractical. The primary goals for this visualization system are: Data should be displayed as it is generated. The interface to the targe program should be transparent, allowing the animation of existing programs. Flexibility - the system should be able to animate any algorithm. The resulting system incorporates and extends two AFIT products: the AFIT Algorithm Animation Research Facility (AAARF) and the Parallel Resource Analysis Software Environment (PRASE). AAARF is an algorithm animation system developed primarily for sequential programs, but is easily adaptable for use with parallel programs. PRASE is an instrumentation package that extracts system performance data from programs on the Intel hypercubes. Since performance data is an essential part of analyzing any parallel program, views of the performance data are provided as an elementary part of the system. Custom software is designed to interface these systems and to display the program data. The program chosen as the example for this study is a member of the NP-complete problem set; it is a parallel implementation of a general.

  13. Visualizing and improving the robustness of phase retrieval algorithms

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Tripathi, Ashish; Leyffer, Sven; Munson, Todd; Wild, Stefan M.

    2015-06-01

    Coherent x-ray diffractive imaging is a novel imaging technique that utilizes phase retrieval and nonlinear optimization methods to image matter at nanometer scales. We explore how the convergence properties of a popular phase retrieval algorithm, Fienup's HIO, behave by introducing a reduced dimensionality problem allowing us to visualize and quantify convergence to local minima and the globally optimal solution. We then introduce generalizations of HIO that improve upon the original algorithm's ability to converge to the globally optimal solution.

  14. Lower Three Runs Remediation Safety Preparation Strategy - 13318

    SciTech Connect (OSTI)

    Mackay, Alexander; Fryar, Scotty; Doane, Alan

    2013-07-01

    The Savannah River Site (SRS) is a 310-square-mile United States Department of Energy (US DOE) nuclear facility located along the Savannah River near Aiken, South Carolina that contains six primary stream/river systems. The Lower Three Runs Stream (LTR) is one of the primary streams within the site that is located in the southeast portion of the Savannah River Site. It is a large blackwater stream system that originates in the northeast portion of SRS and follows a southerly direction before it enters the Savannah River. During reactor operations, secondary reactor cooling water, storm sewer discharges, and miscellaneous wastewater was discharged and contaminated a 20 mile stretch of Lower Three Runs Stream that narrows and provides a limited buffer of US DOE property along the stream and flood-plain. Based on data collected during the years 2009 and 2010 under American Recovery and Re-investment Act funding, the stream was determined to be contaminated with cesium-137 at levels that exceeded acceptable risk based limits. In agreement with the Environmental Protection Agency and the South Carolina Department of Health and Environmental Control, three areas were identified for remediation [1] (SRNS April 2012). A comprehensive safety preparation strategy was developed for safe execution of the LTR remediation project. Contract incentives for safety encouraged the contractor to perform a complete evaluation of the work and develop an implementation plan to perform the work. The safety coverage was controlled to ensure all work was observed and assessed by one person per work area within the project. This was necessary due to the distances between the fence work and three transects being worked, approximately 20 miles. Contractor Management field observations were performed along with DOE assessments to ensure contractor focus on safe performance of the work. Dedicated ambulance coverage for remote worker work activities was provided. This effort was augmented with

  15. Impacts of Time Delays on Distributed Algorithms for Economic Dispatch

    SciTech Connect (OSTI)

    Yang, Tao; Wu, Di; Sun, Yannan; Lian, Jianming

    2015-07-26

    Economic dispatch problem (EDP) is an important problem in power systems. It can be formulated as an optimization problem with the objective to minimize the total generation cost subject to the power balance constraint and generator capacity limits. Recently, several consensus-based algorithms have been proposed to solve EDP in a distributed manner. However, impacts of communication time delays on these distributed algorithms are not fully understood, especially for the case where the communication network is directed, i.e., the information exchange is unidirectional. This paper investigates communication time delay effects on a distributed algorithm for directed communication networks. The algorithm has been tested by applying time delays to different types of information exchange. Several case studies are carried out to evaluate the effectiveness and performance of the algorithm in the presence of time delays in communication networks. It is found that time delay effects have negative effects on the convergence rate, and can even result in an incorrect converge value or fail the algorithm to converge.

  16. Monitoring and Commissioning Verification Algorithms for CHP Systems

    SciTech Connect (OSTI)

    Brambley, Michael R.; Katipamula, Srinivas; Jiang, Wei

    2008-03-31

    This document provides the algorithms for CHP system performance monitoring and commissioning verification (CxV). It starts by presenting system-level and component-level performance metrics, followed by descriptions of algorithms for performance monitoring and commissioning verification, using the metric presented earlier. Verification of commissioning is accomplished essentially by comparing actual measured performance to benchmarks for performance provided by the system integrator and/or component manufacturers. The results of these comparisons are then automatically interpreted to provide conclusions regarding whether the CHP system and its components have been properly commissioned and where problems are found, guidance is provided for corrections. A discussion of uncertainty handling is then provided, which is followed by a description of how simulations models can be used to generate data for testing the algorithms. A model is described for simulating a CHP system consisting of a micro-turbine, an exhaust-gas heat recovery unit that produces hot water, a absorption chiller and a cooling tower. The process for using this model for generating data for testing the algorithms for a selected set of faults is described. The next section applies the algorithms developed to CHP laboratory and field data to illustrate their use. The report then concludes with a discussion of the need for laboratory testing of the algorithms on a physical CHP systems and identification of the recommended next steps.

  17. Incremental k-core decomposition: Algorithms and evaluation

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Sariyuce, Ahmet Erdem; Gedik, Bugra; Jacques-SIlva, Gabriela; Wu, Kun -Lung; Catalyurek, Umit V.

    2016-02-01

    A k-core of a graph is a maximal connected subgraph in which every vertex is connected to at least k vertices in the subgraph. k-core decomposition is often used in large-scale network analysis, such as community detection, protein function prediction, visualization, and solving NP-hard problems on real networks efficiently, like maximal clique finding. In many real-world applications, networks change over time. As a result, it is essential to develop efficient incremental algorithms for dynamic graph data. In this paper, we propose a suite of incremental k-core decomposition algorithms for dynamic graph data. These algorithms locate a small subgraph that ismore¬†¬Ľ guaranteed to contain the list of vertices whose maximum k-core values have changed and efficiently process this subgraph to update the k-core decomposition. We present incremental algorithms for both insertion and deletion operations, and propose auxiliary vertex state maintenance techniques that can further accelerate these operations. Our results show a significant reduction in runtime compared to non-incremental alternatives. We illustrate the efficiency of our algorithms on different types of real and synthetic graphs, at varying scales. Furthermore, for a graph of 16 million vertices, we observe relative throughputs reaching a million times, relative to the non-incremental algorithms.¬ę¬†less

  18. Visual Empirical Region of Influence (VERI) Pattern Recognition Algorithms

    SciTech Connect (OSTI)

    2002-05-01

    We developed new pattern recognition (PR) algorithms based on a human visual perception model. We named these algorithms Visual Empirical Region of Influence (VERI) algorithms. To compare the new algorithm's effectiveness against othe PR algorithms, we benchmarked their clustering capabilities with a standard set of two-dimensional data that is well known in the PR community. The VERI algorithm succeeded in clustering all the data correctly. No existing algorithm had previously clustered all the pattens in the data set successfully. The commands to execute VERI algorithms are quite difficult to master when executed from a DOS command line. The algorithm requires several parameters to operate correctly. From our own experiences we realized that if we wanted to provide a new data analysis tool to the PR community we would have to provide a new data analysis tool to the PR community we would have to make the tool powerful, yet easy and intuitive to use. That was our motivation for developing graphical user interfaces (GUI's) to the VERI algorithms. We developed GUI's to control the VERI algorithm in a single pass mode and in an optimization mode. We also developed a visualization technique that allows users to graphically animate and visually inspect multi-dimensional data after it has been classified by the VERI algorithms. The visualization technique that allows users to graphically animate and visually inspect multi-dimensional data after it has been classified by the VERI algorithms. The visualization package is integrated into the single pass interface. Both the single pass interface and optimization interface are part of the PR software package we have developed and make available to other users. The single pass mode only finds PR results for the sets of features in the data set that are manually requested by the user. The optimization model uses a brute force method of searching through the cominations of features in a data set for features that produce the

  19. Visual Empirical Region of Influence (VERI) Pattern Recognition Algorithms

    Energy Science and Technology Software Center (OSTI)

    2002-05-01

    We developed new pattern recognition (PR) algorithms based on a human visual perception model. We named these algorithms Visual Empirical Region of Influence (VERI) algorithms. To compare the new algorithm's effectiveness against othe PR algorithms, we benchmarked their clustering capabilities with a standard set of two-dimensional data that is well known in the PR community. The VERI algorithm succeeded in clustering all the data correctly. No existing algorithm had previously clustered all the pattens inmore¬†¬Ľ the data set successfully. The commands to execute VERI algorithms are quite difficult to master when executed from a DOS command line. The algorithm requires several parameters to operate correctly. From our own experiences we realized that if we wanted to provide a new data analysis tool to the PR community we would have to provide a new data analysis tool to the PR community we would have to make the tool powerful, yet easy and intuitive to use. That was our motivation for developing graphical user interfaces (GUI's) to the VERI algorithms. We developed GUI's to control the VERI algorithm in a single pass mode and in an optimization mode. We also developed a visualization technique that allows users to graphically animate and visually inspect multi-dimensional data after it has been classified by the VERI algorithms. The visualization technique that allows users to graphically animate and visually inspect multi-dimensional data after it has been classified by the VERI algorithms. The visualization package is integrated into the single pass interface. Both the single pass interface and optimization interface are part of the PR software package we have developed and make available to other users. The single pass mode only finds PR results for the sets of features in the data set that are manually requested by the user. The optimization model uses a brute force method of searching through the cominations of features in a data set for features that produce

  20. Recovery Act: Electrochromic Glazing Technology: Improved Performance, Lower Price

    SciTech Connect (OSTI)

    Burdis, Mark; Sbar, Neil

    2012-06-30

    The growing dependency of the US on energy imports and anticipated further increases in energy prices reinforce the concerns about meeting the energy demand in the future and one element of a secure energy future is conservation. It is estimated that the buildings sector represents 40% of the US's total energy consumption. And buildings produce as much as one third of the greenhouse gas emissions primarily through fossil fuel usage during their operational phase. A significant fraction of this energy usage is simply due to inefficient window technology. Electrochromic (EC) windows allow electronic control of their optical properties so that the transparency to light can be adjusted from clear to dark. This ability to control the amount of solar energy allowed into the building can be advantageously used to minimize lighting, heating and air conditioning costs. Currently, the penetration of EC windows into the marketplace is extremely small, and consequently there is a huge opportunity for energy savings if this market can be expanded. In order to increase the potential energy savings it is necessary to increase the quantity of EC windows in operation. Additionally, any incremental improvement in the energy performance of each window will add to the potential energy savings. The overall goals of this project were therefore to improve the energy performance and lower the cost of dynamic (EC) smart windows for residential and commercial building applications. This project is obviously of benefit to the public by addressing two major areas: lowering the cost and improving the energy performance of EC glazings. The high level goals for these activities were: (i) to improve the range between the clear and the tinted state, (ii) reduce the price of EC windows by utilizing lower cost materials, (iii) lowering the U-Value1 SAGE Electrochromics Inc. is the only company in the US which has a track record of producing EC windows, and presently has a small operational factory

  1. A background correction algorithm for Van Allen Probes MagEIS...

    Office of Scientific and Technical Information (OSTI)

    Title: A background correction algorithm for Van Allen Probes MagEIS electron flux measurements We describe an automated computer algorithm designed to remove background ...

  2. Max Tech Electric Heat Pump Water Heater with Lower GWP Halogenated...

    Energy Savers [EERE]

    Max Tech Electric Heat Pump Water Heater with Lower GWP Halogenated Refrigerant Max Tech Electric Heat Pump Water Heater with Lower GWP Halogenated Refrigerant Information flow ...

  3. Algorithms Performance Investigation of a Generalized Spreader-Bar Detection System

    SciTech Connect (OSTI)

    Robinson, Sean M.; Ashbaker, Eric D.; Hensley, Walter K.; Schweppe, John E.; Sandness, Gerald A.; Erikson, Luke E.; Ely, James H.

    2010-10-01

    A ‚Äúgeneric‚ÄĚ gantry-crane-mounted spreader bar detector has been simulated in the Monte-Carlo radiation transport code MCNP [1]. This model is intended to represent the largest realistically feasible number of detector crystals in a single gantry-crane model intended to sit atop an InterModal Cargo Container (IMCC). Detectors were chosen from among large commonly-available sodium iodide (NaI) crystal scintillators and spaced as evenly as is thought possible with a detector apparatus attached to a gantry crane. Several scenarios were simulated with this model, based on a single IMCC being moved between a ship‚Äôs deck or cargo hold and the dock. During measurement, the gantry crane will carry that IMCC through the air and lower it onto a receiving vehicle (e.g. a chassis or a bomb cart). The case of an IMCC being moved through the air from an unknown radiological environment to the ground is somewhat complex; for this initial study a single location was picked at which to simulate background. An HEU source based on earlier validated models was used, and placed at varying depths in a wood cargo. Many statistical realizations of these scenarios are constructed from simulations of the component spectra, simulated to have high statistics. The resultant data are analyzed with several different algorithms. The simulated data were evaluated by each algorithm, with a threshold set to a statistical-only false alarm probability of 0.001 and the resultant Minimum Detectable Amounts were generated for each Cargo depth possible within the IMCC. Using GADRAS as an anomaly detector provided the greatest detection sensitivity, and it is expected that an algorithm similar to this will be of great use to the detection of highly shielded sources.

  4. Lower hybrid accessibility in a large, hot reversed field pinch

    SciTech Connect (OSTI)

    Dziubek, R.A.

    1995-02-01

    Recent theoretical and experimental results indicate that driving a current in the outer radius of an RPF suppresses sawtooth activity and increases particle and energy confinement times. One candidate for a form of steady state current drive is the slow wave at the lower hybrid frequency. Here, the accessibility of such a wave in an RFP plasma is investigated theoretically, with focus on the RFX machine of Padua, Italy. To drive current, the slow wave with frequency between 1.0--1.5 GHz is considered where optimal Landau damping is desired at r/a {approximately} 0.7. By numerically determining the values of the wave`s perpendicular index of refraction which satisfy the hot plasma dispersion relation, regions of propagation and evanescence can be found. The path of the wave can then be traced over a contour map of these regions so that accessibility can be clearly seen. The possibility of mode conversion events can be ascertained by plotting the values of the perpendicular index of refraction for the fast and slow wave and observing convergence points. To locate regions of maximum Landau damping, a technique developed by Stix was adapted for use with the slow wave in an RFP plasma. Results show that the slow wave is accessible to the target region without mode conversion so long as the value of the parallel index of refraction is correctly chosen at the edge of the plasma. Landau damping can also be optimized with this method. In an RFP, 2--20% of the electron population consists of fast electrons. Because this species alters the total electron distribution function and raises the effective temperature in the outer regions of the plasma, its presence is expected to shift the location of ideal Landau damping.

  5. Detectability limitations with 3-D point reconstruction algorithms using digital radiography

    SciTech Connect (OSTI)

    Lindgren, Erik

    2015-03-31

    The estimated impact of pores in clusters on component fatigue will be highly conservative when based on 2-D rather than 3-D pore positions. To 3-D position and size defects using digital radiography and 3-D point reconstruction algorithms in general require a lower inspection time and in some cases work better with planar geometries than X-ray computed tomography. However, the increase in prior assumptions about the object and the defects will increase the intrinsic uncertainty in the resulting nondestructive evaluation output. In this paper this uncertainty arising when detecting pore defect clusters with point reconstruction algorithms is quantified using simulations. The simulation model is compared to and mapped to experimental data. The main issue with the uncertainty is the possible masking (detectability zero) of smaller defects around some other slightly larger defect. In addition, the uncertainty is explored in connection to the expected effects on the component fatigue life and for different amount of prior object-defect assumptions made.

  6. A background correction algorithm for Van Allen Probes MagEIS electron flux measurements

    SciTech Connect (OSTI)

    Claudepierre, S. G.; O'Brien, T. P.; Blake, J. B.; Fennell, J. F.; Roeder, J. L.; Clemmons, J. H.; Looper, M. D.; Mazur, J. E.; Mulligan, T. M.; Spence, H. E.; Reeves, G. D.; Friedel, R. H. W.; Henderson, M. G.; Larsen, B. A.

    2015-07-14

    We describe an automated computer algorithm designed to remove background contamination from the Van Allen Probes Magnetic Electron Ion Spectrometer (MagEIS) electron flux measurements. We provide a detailed description of the algorithm with illustrative examples from on-orbit data. We find two primary sources of background contamination in the MagEIS electron data: inner zone protons and bremsstrahlung X-rays generated by energetic electrons interacting with the spacecraft material. Bremsstrahlung X-rays primarily produce contamination in the lower energy MagEIS electron channels (~30‚Äď500 keV) and in regions of geospace where multi-M eV electrons are present. Inner zone protons produce contamination in all MagEIS energy channels at roughly L < 2.5. The background-corrected MagEIS electron data produce a more accurate measurement of the electron radiation belts, as most earlier measurements suffer from unquantifiable and uncorrectable contamination in this harsh region of the near-Earth space environment. These background-corrected data will also be useful for spacecraft engineering purposes, providing ground truth for the near-Earth electron environment and informing the next generation of spacecraft design models (e.g., AE9).

  7. A background correction algorithm for Van Allen Probes MagEIS electron flux measurements

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Claudepierre, S. G.; O'Brien, T. P.; Blake, J. B.; Fennell, J. F.; Roeder, J. L.; Clemmons, J. H.; Looper, M. D.; Mazur, J. E.; Mulligan, T. M.; Spence, H. E.; et al

    2015-07-14

    We describe an automated computer algorithm designed to remove background contamination from the Van Allen Probes Magnetic Electron Ion Spectrometer (MagEIS) electron flux measurements. We provide a detailed description of the algorithm with illustrative examples from on-orbit data. We find two primary sources of background contamination in the MagEIS electron data: inner zone protons and bremsstrahlung X-rays generated by energetic electrons interacting with the spacecraft material. Bremsstrahlung X-rays primarily produce contamination in the lower energy MagEIS electron channels (~30‚Äď500 keV) and in regions of geospace where multi-M eV electrons are present. Inner zone protons produce contamination in all MagEIS energymore¬†¬Ľ channels at roughly L < 2.5. The background-corrected MagEIS electron data produce a more accurate measurement of the electron radiation belts, as most earlier measurements suffer from unquantifiable and uncorrectable contamination in this harsh region of the near-Earth space environment. These background-corrected data will also be useful for spacecraft engineering purposes, providing ground truth for the near-Earth electron environment and informing the next generation of spacecraft design models (e.g., AE9).¬ę¬†less

  8. Assessing image quality and dose reduction of a new x-ray computed tomography iterative reconstruction algorithm using model observers

    SciTech Connect (OSTI)

    Tseng, Hsin-Wu Kupinski, Matthew A.; Fan, Jiahua; Sainath, Paavana; Hsieh, Jiang

    2014-07-15

    Purpose: A number of different techniques have been developed to reduce radiation dose in x-ray computed tomography (CT) imaging. In this paper, the authors will compare task-based measures of image quality of CT images reconstructed by two algorithms: conventional filtered back projection (FBP), and a new iterative reconstruction algorithm (IR). Methods: To assess image quality, the authors used the performance of a channelized Hotelling observer acting on reconstructed image slices. The selected channels are dense difference Gaussian channels (DDOG).A body phantom and a head phantom were imaged 50 times at different dose levels to obtain the data needed to assess image quality. The phantoms consisted of uniform backgrounds with low contrast signals embedded at various locations. The tasks the observer model performed included (1) detection of a signal of known location and shape, and (2) detection and localization of a signal of known shape. The employed DDOG channels are based on the response of the human visual system. Performance was assessed using the areas under ROC curves and areas under localization ROC curves. Results: For signal known exactly (SKE) and location unknown/signal shape known tasks with circular signals of different sizes and contrasts, the authors‚Äô task-based measures showed that a FBP equivalent image quality can be achieved at lower dose levels using the IR algorithm. For the SKE case, the range of dose reduction is 50%‚Äď67% (head phantom) and 68%‚Äď82% (body phantom). For the study of location unknown/signal shape known, the dose reduction range can be reached at 67%‚Äď75% for head phantom and 67%‚Äď77% for body phantom case. These results suggest that the IR images at lower dose settings can reach the same image quality when compared to full dose conventional FBP images. Conclusions: The work presented provides an objective way to quantitatively assess the image quality of a newly introduced CT IR algorithm. The performance of the

  9. 2D/3D registration algorithm for lung brachytherapy

    SciTech Connect (OSTI)

    Zvonarev, P. S.; Farrell, T. J.; Hunter, R.; Wierzbicki, M.; Hayward, J. E.; Sur, R. K.

    2013-02-15

    Purpose: A 2D/3D registration algorithm is proposed for registering orthogonal x-ray images with a diagnostic CT volume for high dose rate (HDR) lung brachytherapy. Methods: The algorithm utilizes a rigid registration model based on a pixel/voxel intensity matching approach. To achieve accurate registration, a robust similarity measure combining normalized mutual information, image gradient, and intensity difference was developed. The algorithm was validated using a simple body and anthropomorphic phantoms. Transfer catheters were placed inside the phantoms to simulate the unique image features observed during treatment. The algorithm sensitivity to various degrees of initial misregistration and to the presence of foreign objects, such as ECG leads, was evaluated. Results: The mean registration error was 2.2 and 1.9 mm for the simple body and anthropomorphic phantoms, respectively. The error was comparable to the interoperator catheter digitization error of 1.6 mm. Preliminary analysis of data acquired from four patients indicated a mean registration error of 4.2 mm. Conclusions: Results obtained using the proposed algorithm are clinically acceptable especially considering the complications normally encountered when imaging during lung HDR brachytherapy.

  10. Mesh Algorithms for PDE with Sieve I: Mesh Distribution

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Knepley, Matthew G.; Karpeev, Dmitry A.

    2009-01-01

    We have developed a new programming framework, called Sieve, to support parallel numerical partial differential equation(s) (PDE) algorithms operating over distributed meshes. We have also developed a reference implementation of Sieve in C++ as a library of generic algorithms operating on distributed containers conforming to the Sieve interface. Sieve makes instances of the incidence relation, or arrows, the conceptual first-class objects represented in the containers. Further, generic algorithms acting on this arrow container are systematically used to provide natural geometric operations on the topology and also, through duality, on the data. Finally, coverings and duality are used to encode notmore¬†¬Ľ only individual meshes, but all types of hierarchies underlying PDE data structures, including multigrid and mesh partitions. In order to demonstrate the usefulness of the framework, we show how the mesh partition data can be represented and manipulated using the same fundamental mechanisms used to represent meshes. We present the complete description of an algorithm to encode a mesh partition and then distribute a mesh, which is independent of the mesh dimension, element shape, or embedding. Moreover, data associated with the mesh can be similarly distributed with exactly the same algorithm. The use of a high level of abstraction within the Sieve leads to several benefits in terms of code reuse, simplicity, and extensibility. We discuss these benefits and compare our approach to other existing mesh libraries.¬ę¬†less

  11. Nonlinear Global Optimization Using Curdling Algorithm in Mathematica Environmet

    Energy Science and Technology Software Center (OSTI)

    1997-08-05

    An algorithm for performing optimization which is a derivative-free, grid-refinement approach to nonlinear optimization was developed and implemented in software as OPTIMIZE. This approach overcomes a number of deficiencies in existing approaches. Most notably, it finds extremal regions rather than only single extremal points. the program is interactive and collects information on control parameters and constraints using menus. For up to two (and potentially three) dimensions, function convergence is displayed graphically. Because the algorithm doesmore¬†¬Ľ not compute derivatives, gradients, or vectors, it is numerically stable. It can find all the roots of a polynomial in one pass. It is an inherently parallel algorithm. OPTIMIZE-M is a modification of OPTIMIZE designed for use within the Mathematica environment created by Wolfram Research.¬ę¬†less

  12. EAGLE: 'EAGLE'Is an' Algorithmic Graph Library for Exploration

    SciTech Connect (OSTI)

    2015-01-16

    The Resource Description Framework (RDF) and SPARQL Protocol and RDF Query Language (SPARQL) were introduced about a decade ago to enable flexible schema-free data interchange on the Semantic Web. Today data scientists use the framework as a scalable graph representation for integrating, querying, exploring and analyzing data sets hosted at different sources. With increasing adoption, the need for graph mining capabilities for the Semantic Web has emerged. Today there is no tools to conduct "graph mining" on RDF standard data sets. We address that need through implementation of popular iterative Graph Mining algorithms (Triangle count, Connected component analysis, degree distribution, diversity degree, PageRank, etc.). We implement these algorithms as SPARQL queries, wrapped within Python scripts and call our software tool as EAGLE. In RDF style, EAGLE stands for "EAGLE 'Is an' algorithmic graph library for exploration. EAGLE is like 'MATLAB' for 'Linked Data.'

  13. Analysis of the Multi-Phase Copying Garbage Collection Algorithm

    SciTech Connect (OSTI)

    Podhorszki, Norbert

    2009-01-01

    The multi-phase copying garbage collection was designed to avoid the need for large amount of reserved memory usually required for the copying types of garbage collection algorithms. The collection is performed in multiple phases using the available free memory. This paper proves that the number of phases depends on the size of the reserved memory and the ratio of the garbage and accessible objects. The performance of the implemented algorithm is tested in a fine-grained parallel Prolog system. We find that reserving only 10% of memory for garbage collection is sufficient for good performance in practice. Additionally, an improvement of the generic algorithm specifically for the tested parallel Prolog system is described.

  14. EAGLE: 'EAGLE'Is an' Algorithmic Graph Library for Exploration

    Energy Science and Technology Software Center (OSTI)

    2015-01-16

    The Resource Description Framework (RDF) and SPARQL Protocol and RDF Query Language (SPARQL) were introduced about a decade ago to enable flexible schema-free data interchange on the Semantic Web. Today data scientists use the framework as a scalable graph representation for integrating, querying, exploring and analyzing data sets hosted at different sources. With increasing adoption, the need for graph mining capabilities for the Semantic Web has emerged. Today there is no tools to conduct "graphmore¬†¬Ľ mining" on RDF standard data sets. We address that need through implementation of popular iterative Graph Mining algorithms (Triangle count, Connected component analysis, degree distribution, diversity degree, PageRank, etc.). We implement these algorithms as SPARQL queries, wrapped within Python scripts and call our software tool as EAGLE. In RDF style, EAGLE stands for "EAGLE 'Is an' algorithmic graph library for exploration. EAGLE is like 'MATLAB' for 'Linked Data.'¬ę¬†less

  15. ARM: 10-second Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chitra Sivaraman; Connor Flynn

    2004-10-01

    10-second Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  16. ARM: 10-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chitra Sivaraman; Connor Flynn

    1998-03-01

    10-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

  17. ARM: 1-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chitra Sivaraman; Connor Flynn

    2004-10-01

    1-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  18. ARM: 1-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chitra Sivaraman; Connor Flynn

    2004-10-01

    1-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

  19. ARM: 10-second Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chitra Sivaraman; Connor Flynn

    10-second Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  20. ARM: 10-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chitra Sivaraman; Connor Flynn

    10-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  1. ARM: 10-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chitra Sivaraman; Connor Flynn

    10-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

  2. ARM: 2-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Sivaraman, Chitra; Flynn, Connor

    2-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  3. ARM: 1-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chitra Sivaraman; Connor Flynn

    1-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

  4. ARM: 1-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chitra Sivaraman; Connor Flynn

    1-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  5. ARM: SIRS: derived, correction of downwelling shortwave diffuse hemispheric measurements using Dutton and full algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Laura Riihimaki

    1997-03-21

    SIRS: derived, correction of downwelling shortwave diffuse hemispheric measurements using Dutton and full algorithm

  6. ARM: 10-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Newsom, Rob; Goldsmith, John

    1998-03-01

    10-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  7. ARM: 2-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Sivaraman, Chitra; Flynn, Connor

    2004-10-01

    2-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  8. Gradient maintenance: A new algorithm for fast online replanning

    SciTech Connect (OSTI)

    Ahunbay, Ergun E. Li, X. Allen

    2015-06-15

    Purpose: Clinical use of online adaptive replanning has been hampered by the unpractically long time required to delineate volumes based on the image of the day. The authors propose a new replanning algorithm, named gradient maintenance (GM), which does not require the delineation of organs at risk (OARs), and can enhance automation, drastically reducing planning time and improving consistency and throughput of online replanning. Methods: The proposed GM algorithm is based on the hypothesis that if the dose gradient toward each OAR in daily anatomy can be maintained the same as that in the original plan, the intended plan quality of the original plan would be preserved in the adaptive plan. The algorithm requires a series of partial concentric rings (PCRs) to be automatically generated around the target toward each OAR on the planning and the daily images. The PCRs are used in the daily optimization objective function. The PCR dose constraints are generated with dose‚Äďvolume data extracted from the original plan. To demonstrate this idea, GM plans generated using daily images acquired using an in-room CT were compared to regular optimization and image guided radiation therapy repositioning plans for representative prostate and pancreatic cancer cases. Results: The adaptive replanning using the GM algorithm, requiring only the target contour from the CT of the day, can be completed within 5 min without using high-power hardware. The obtained adaptive plans were almost as good as the regular optimization plans and were better than the repositioning plans for the cases studied. Conclusions: The newly proposed GM replanning algorithm, requiring only target delineation, not full delineation of OARs, substantially increased planning speed for online adaptive replanning. The preliminary results indicate that the GM algorithm may be a solution to improve the ability for automation and may be especially suitable for sites with small-to-medium size targets surrounded by

  9. Lower Yellowstone Intake Diversion Dam Fish Passage Project, Montana. Draft Environmental Impact Statement

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Lower Yellowstone Intake Diversion Dam Modification Project, Montana DRAFT APPENDIX D Lower Yellowstone Intake Fish Passage EIS Fish Passage Connectivity Index and Cost Effectiveness and Incremental Cost Analysis MAY 2016 Lower Yellowstone Intake Diversion Dam Fish Passage Project, Montana APPENDIX D Lower Yellowstone Intake Fish Passage EIS Fish Passage Connectivity Index and Cost Effectiveness and Incremental Cost Analysis Lower Yellowstone Intake Diversion Dam Fish Passage Project Draft

  10. Lower Watts Bar Reservoir Clinch River/Poplar Creek | Department of Energy

    Office of Environmental Management (EM)

    Program Review, October 2010 Lower Sioux Indian Community Wind Energy Development Lower Sioux Community Lower Sioux Energy Goals * Provide clean and environmentally safe energy resources for tribal reservation by installing wind turbine in community * Sell excess power to nearby power utility * Lower cost of energy to local businesses and homeowners in the community * Provide new employment opportunities Facility-Scale Wind * The Lower Sioux Community's original renewable energy goal was to

  11. Incremental Clustering Algorithm For Earth Science Data Mining

    SciTech Connect (OSTI)

    Vatsavai, Raju

    2009-01-01

    Remote sensing data plays a key role in understanding the complex geographic phenomena. Clustering is a useful tool in discovering interesting patterns and structures within the multivariate geospatial data. One of the key issues in clustering is the specication of appropriate number of clusters, which is not obvious in many practical situations. In this paper we provide an extension of G-means algorithm which automatically learns the number of clusters present in the data and avoids over estimation of the number of clusters. Experimental evaluation on simulated and remotely sensed image data shows the effectiveness of our algorithm.

  12. COLLOQUIUM: Introduction to Quantum Algorithms | Princeton Plasma Physics

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Lab December 9, 2015, 4:15pm to 5:30pm MBG AUDITORIUM COLLOQUIUM: Introduction to Quantum Algorithms Dr. Nadya Shirokova University of Santa Clara Quantum computers are not an abstraction anymore - Google, NASA and USRA recently announced formation of the Quantum Artificial Intelligence Lab equipped with 1,000-qubit quantum computer. In this talk we will focus on quantum algorithms such as Deutsch, Shor's and Grover's and will discuss why they are faster than the classical ones. We will also

  13. Technology Advancements to Lower Costs of Electrochromic Window Glazing

    SciTech Connect (OSTI)

    Mark Burdis; Neil Sbar

    2008-07-13

    , equivalent durability results, and promise a significantly simplified manufacturing approach, thereby suggesting higher yields as a result of less handling, and therefore lower costs.

  14. Development of CDMS-II Surface Event Rejection Techniques and Their Extensions to Lower Energy Thresholds

    SciTech Connect (OSTI)

    Hofer, Thomas James

    2014-12-01

    The CDMS-II phase of the Cryogenic Dark Matter Search, a dark matter direct-detection experiment, was operated at the Soudan Underground Laboratory from 2003 to 2008. The full payload consisted of 30 ZIP detectors, totaling approximately 1.1 kg of Si and 4.8 kg of Ge, operated at temperatures of 50 mK. The ZIP detectors read out both ionization and phonon pulses from scatters within the crystals; channel segmentation and analysis of pulse timing parameters allowed e ective ducialization of the crystal volumes and background rejection su cient to set world-leading limits at the times of their publications. A full re-analysis of the CDMS-II data was motivated by an improvement in the event reconstruction algorithms which improved the resolution of ionization energy and timing information. The Ge data were re-analyzed using three distinct background-rejection techniques; the Si data from runs 125 - 128 were analyzed for the rst time using the most successful of the techniques from the Ge re-analysis. The results of these analyses prompted a novel \\mid-threshold" analysis, wherein energy thresholds were lowered but background rejection using phonon timing information was still maintained. This technique proved to have signi cant discrimination power, maintaining adequate signal acceptance and minimizing background leakage. The primary background for CDMS-II analyses comes from surface events, whose poor ionization collection make them di cult to distinguish from true nuclear recoil events. The novel detector technology of SuperCDMS, the successor to CDMS-II, uses interleaved electrodes to achieve full ionization collection for events occurring at the top and bottom detector surfaces. This, along with dual-sided ionization and phonon instrumentation, allows for excellent ducialization and relegates the surface-event rejection techniques of CDMS-II to a secondary level of background discrimination. Current and future SuperCDMS results hold great promise for mid- to low

  15. A Parallel Ghosting Algorithm for The Flexible Distributed Mesh Database

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Mubarak, Misbah; Seol, Seegyoung; Lu, Qiukai; Shephard, Mark S.

    2013-01-01

    Critical to the scalability of parallel adaptive simulations are parallel control functions including load balancing, reduced inter-process communication and optimal data decomposition. In distributed meshes, many mesh-based applications frequently access neighborhood information for computational purposes which must be transmitted efficiently to avoid parallel performance degradation when the neighbors are on different processors. This article presents a parallel algorithm of creating and deleting data copies, referred to as ghost copies, which localize neighborhood data for computation purposes while minimizing inter-process communication. The key characteristics of the algorithm are: (1) It can create ghost copies of any permissible topological order inmore¬†¬Ľ a 1D, 2D or 3D mesh based on selected adjacencies. (2) It exploits neighborhood communication patterns during the ghost creation process thus eliminating all-to-all communication. (3) For applications that need neighbors of neighbors, the algorithm can create n number of ghost layers up to a point where the whole partitioned mesh can be ghosted. Strong and weak scaling results are presented for the IBM BG/P and Cray XE6 architectures up to a core count of 32,768 processors. The algorithm also leads to scalable results when used in a parallel super-convergent patch recovery error estimator, an application that frequently accesses neighborhood data to carry out computation.¬ę¬†less

  16. Real-time algorithm for robust coincidence search

    SciTech Connect (OSTI)

    Petrovic, T.; Vencelj, M.; Lipoglavsek, M.; Gajevic, J.; Pelicon, P.

    2012-10-20

    In in-beam {gamma}-ray spectroscopy experiments, we often look for coincident detection events. Among every N events detected, coincidence search is naively of principal complexity O(N{sup 2}). When we limit the approximate width of the coincidence search window, the complexity can be reduced to O(N), permitting the implementation of the algorithm into real-time measurements, carried out indefinitely. We have built an algorithm to find simultaneous events between two detection channels. The algorithm was tested in an experiment where coincidences between X and {gamma} rays detected in two HPGe detectors were observed in the decay of {sup 61}Cu. Functioning of the algorithm was validated by comparing calculated experimental branching ratio for EC decay and theoretical calculation for 3 selected {gamma}-ray energies for {sup 61}Cu decay. Our research opened a question on the validity of the adopted value of total angular momentum of the 656 keV state (J{sup {pi}} = 1/2{sup -}) in {sup 61}Ni.

  17. PSO algorithm enhanced with Lozi Chaotic Map - Tuning experiment

    SciTech Connect (OSTI)

    Pluhacek, Michal; Senkerik, Roman; Zelinka, Ivan

    2015-03-10

    In this paper it is investigated the effect of tuning of control parameters of the Lozi Chaotic Map employed as a chaotic pseudo-random number generator for the particle swarm optimization algorithm. Three different benchmark functions are selected from the IEEE CEC 2013 competition benchmark set. The Lozi map is extensively tuned and the performance of PSO is evaluated.

  18. Optimization of reliability allocation strategies through use of genetic algorithms

    SciTech Connect (OSTI)

    Campbell, J.E.; Painton, L.A.

    1996-08-01

    This paper examines a novel optimization technique called genetic algorithms and its application to the optimization of reliability allocation strategies. Reliability allocation should occur in the initial stages of design, when the objective is to determine an optimal breakdown or allocation of reliability to certain components or subassemblies in order to meet system specifications. The reliability allocation optimization is applied to the design of a cluster tool, a highly complex piece of equipment used in semiconductor manufacturing. The problem formulation is presented, including decision variables, performance measures and constraints, and genetic algorithm parameters. Piecewise ``effort curves`` specifying the amount of effort required to achieve a certain level of reliability for each component of subassembly are defined. The genetic algorithm evolves or picks those combinations of ``effort`` or reliability levels for each component which optimize the objective of maximizing Mean Time Between Failures while staying within a budget. The results show that the genetic algorithm is very efficient at finding a set of robust solutions. A time history of the optimization is presented, along with histograms or the solution space fitness, MTBF, and cost for comparative purposes.

  19. Developing and Implementing the Data Mining Algorithms in RAVEN

    SciTech Connect (OSTI)

    Sen, Ramazan Sonat; Maljovec, Daniel Patrick; Alfonsi, Andrea; Rabiti, Cristian

    2015-09-01

    The RAVEN code is becoming a comprehensive tool to perform probabilistic risk assessment, uncertainty quantification, and verification and validation. The RAVEN code is being developed to support many programs and to provide a set of methodologies and algorithms for advanced analysis. Scientific computer codes can generate enormous amounts of data. To post-process and analyze such data might, in some cases, take longer than the initial software runtime. Data mining algorithms/methods help in recognizing and understanding patterns in the data, and thus discover knowledge in databases. The methodologies used in the dynamic probabilistic risk assessment or in uncertainty and error quantification analysis couple system/physics codes with simulation controller codes, such as RAVEN. RAVEN introduces both deterministic and stochastic elements into the simulation while the system/physics code model the dynamics deterministically. A typical analysis is performed by sampling values of a set of parameter values. A major challenge in using dynamic probabilistic risk assessment or uncertainty and error quantification analysis for a complex system is to analyze the large number of scenarios generated. Data mining techniques are typically used to better organize and understand data, i.e. recognizing patterns in the data. This report focuses on development and implementation of Application Programming Interfaces (APIs) for different data mining algorithms, and the application of these algorithms to different databases.

  20. Finding the needle in the haystack: Algorithms for conformational optimization

    SciTech Connect (OSTI)

    Andricioaei, I.; Straub, J.E.

    1996-09-01

    Algorithms are given for comformational optimization of proteins. The protein folding problems is regarded as a problem of global energy mimimization. Since proteins have hundreds of atoms, finding the lowest-energy conformation in a many-dimensional configuration space becomes a computationally demanding problem.{copyright} {ital American Institute of Physics.}

  1. Numerical Optimization Algorithms and Software for Systems Biology

    SciTech Connect (OSTI)

    Saunders, Michael

    2013-02-02

    The basic aims of this work are: to develop reliable algorithms for solving optimization problems involving large stoi- chiometric matrices; to investigate cyclic dependency between metabolic and macromolecular biosynthetic networks; and to quantify the significance of thermodynamic constraints on prokaryotic metabolism.

  2. Multi-jagged: A scalable parallel spatial partitioning algorithm

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Deveci, Mehmet; Rajamanickam, Sivasankaran; Devine, Karen D.; Catalyurek, Umit V.

    2015-03-18

    Geometric partitioning is fast and effective for load-balancing dynamic applications, particularly those requiring geometric locality of data (particle methods, crash simulations). We present, to our knowledge, the first parallel implementation of a multidimensional-jagged geometric partitioner. In contrast to the traditional recursive coordinate bisection algorithm (RCB), which recursively bisects subdomains perpendicular to their longest dimension until the desired number of parts is obtained, our algorithm does recursive multi-section with a given number of parts in each dimension. By computing multiple cut lines concurrently and intelligently deciding when to migrate data while computing the partition, we minimize data movement compared to efficientmore¬†¬Ľ implementations of recursive bisection. We demonstrate the algorithm's scalability and quality relative to the RCB implementation in Zoltan on both real and synthetic datasets. Our experiments show that the proposed algorithm performs and scales better than RCB in terms of run-time without degrading the load balance. Lastly, our implementation partitions 24 billion points into 65,536 parts within a few seconds and exhibits near perfect weak scaling up to 6K cores.¬ę¬†less

  3. A subzone reconstruction algorithm for efficient staggered compatible remapping

    SciTech Connect (OSTI)

    Starinshak, D.P. Owen, J.M.

    2015-09-01

    Staggered-grid Lagrangian hydrodynamics algorithms frequently make use of subzonal discretization of state variables for the purposes of improved numerical accuracy, generality to unstructured meshes, and exact conservation of mass, momentum, and energy. For Arbitrary Lagrangian‚ÄďEulerian (ALE) methods using a geometric overlay, it is difficult to remap subzonal variables in an accurate and efficient manner due to the number of subzone‚Äďsubzone intersections that must be computed. This becomes prohibitive in the case of 3D, unstructured, polyhedral meshes. A new procedure is outlined in this paper to avoid direct subzonal remapping. The new algorithm reconstructs the spatial profile of a subzonal variable using remapped zonal and nodal representations of the data. The reconstruction procedure is cast as an under-constrained optimization problem. Enforcing conservation at each zone and node on the remapped mesh provides the set of equality constraints; the objective function corresponds to a quadratic variation per subzone between the values to be reconstructed and a set of target reference values. Numerical results for various pure-remapping and hydrodynamics tests are provided. Ideas for extending the algorithm to staggered-grid radiation-hydrodynamics are discussed as well as ideas for generalizing the algorithm to include inequality constraints.

  4. Genetic algorithms and their use in Geophysical Problems

    SciTech Connect (OSTI)

    Parker, Paul B.

    1999-04-01

    Genetic algorithms (GAs), global optimization methods that mimic Darwinian evolution are well suited to the nonlinear inverse problems of geophysics. A standard genetic algorithm selects the best or ''fittest'' models from a ''population'' and then applies operators such as crossover and mutation in order to combine the most successful characteristics of each model and produce fitter models. More sophisticated operators have been developed, but the standard GA usually provides a robust and efficient search. Although the choice of parameter settings such as crossover and mutation rate may depend largely on the type of problem being solved, numerous results show that certain parameter settings produce optimal performance for a wide range of problems and difficulties. In particular, a low (about half of the inverse of the population size) mutation rate is crucial for optimal results, but the choice of crossover method and rate do not seem to affect performance appreciably. Optimal efficiency is usually achieved with smaller (< 50) populations. Lastly, tournament selection appears to be the best choice of selection methods due to its simplicity and its autoscaling properties. However, if a proportional selection method is used such as roulette wheel selection, fitness scaling is a necessity, and a high scaling factor (> 2.0) should be used for the best performance. Three case studies are presented in which genetic algorithms are used to invert for crustal parameters. The first is an inversion for basement depth at Yucca mountain using gravity data, the second an inversion for velocity structure in the crust of the south island of New Zealand using receiver functions derived from teleseismic events, and the third is a similar receiver function inversion for crustal velocities beneath the Mendocino Triple Junction region of Northern California. The inversions demonstrate that genetic algorithms are effective in solving problems with reasonably large numbers of free

  5. An algorithm to estimate the object support in truncated images

    SciTech Connect (OSTI)

    Hsieh, Scott S.; Nett, Brian E.; Cao, Guangzhi; Pelc, Norbert J.

    2014-07-15

    Purpose: Truncation artifacts in CT occur if the object to be imaged extends past the scanner field of view (SFOV). These artifacts impede diagnosis and could possibly introduce errors in dose plans for radiation therapy. Several approaches exist for correcting truncation artifacts, but existing correction algorithms do not accurately recover the skin line (or support) of the patient, which is important in some dose planning methods. The purpose of this paper was to develop an iterative algorithm that recovers the support of the object. Methods: The authors assume that the truncated portion of the image is made up of soft tissue of uniform CT number and attempt to find a shape consistent with the measured data. Each known measurement in the sinogram is interpreted as an estimate of missing mass along a line. An initial estimate of the object support is generated by thresholding a reconstruction made using a previous truncation artifact correction algorithm (e.g., water cylinder extrapolation). This object support is iteratively deformed to reduce the inconsistency with the measured data. The missing data are estimated using this object support to complete the dataset. The method was tested on simulated and experimentally truncated CT data. Results: The proposed algorithm produces a better defined skin line than water cylinder extrapolation. On the experimental data, the RMS error of the skin line is reduced by about 60%. For moderately truncated images, some soft tissue contrast is retained near the SFOV. As the extent of truncation increases, the soft tissue contrast outside the SFOV becomes unusable although the skin line remains clearly defined, and in reformatted images it varies smoothly from slice to slice as expected. Conclusions: The support recovery algorithm provides a more accurate estimate of the patient outline than thresholded, basic water cylinder extrapolation, and may be preferred in some radiation therapy applications.

  6. TH-E-BRE-05: Analysis of Dosimetric Characteristics in Two Leaf Motion Calculator Algorithms for Sliding Window IMRT

    SciTech Connect (OSTI)

    Wu, L; Huang, B; Rowedder, B; Ma, B; Kuang, Y

    2014-06-15

    Purpose: The Smart leaf motion calculator (SLMC) in Eclipse treatment planning system is an advanced fluence delivery modeling algorithm as it takes into account fine MLC features including inter-leaf leakage, rounded leaf tips, non-uniform leaf thickness, and the spindle cavity etc. In this study, SLMC and traditional Varian LMC (VLMC) algorithms were investigated, for the first time, in dosimetric characteristics and delivery accuracy of sliding window (SW) IMRT. Methods: The SW IMRT plans of 51 cancer cases were included to evaluate dosimetric characteristics and dose delivery accuracy from leaf motion calculated by SLMC and VLMC, respectively. All plans were delivered using a Varian TrueBeam Linac. The DVH and MUs of the plans were analyzed. Three patient specific QA tools - independent dose calculation software IMSure, Delta4 phantom, and EPID portal dosimetry were also used to measure the delivered dose distribution. Results: Significant differences in the MUs were observed between the two LMCs (p‚ȧ0.001).Gamma analysis shows an excellent agreement between the planned dose distribution calculated by both LMC algorithms and delivered dose distribution measured by three QA tools in all plans at 3%/3 mm, leading to a mean pass rate exceeding 97%. The mean fraction of pixels with gamma < 1 of SLMC is slightly lower than that of VLMC in the IMSure and Delta4 results, but higher in portal dosimetry (the highest spatial resolution), especially in complex cases such as nasopharynx. Conclusion: The study suggests that the two LMCs generates the similar target coverage and sparing patterns of critical structures. However, SLMC is modestly more accurate than VLMC in modeling advanced MLC features, which may lead to a more accurate dose delivery in SW IMRT. Current clinical QA tools might not be specific enough to differentiate the dosimetric discrepancies at the millimeter level calculated by these two LMC algorithms. NIH/NIGMS grant U54 GM104944, Lincy Endowed

  7. Why Are Resiential PV Prices in Germany So Much Lower Than in...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Why Are Resiential PV Prices in Germany So Much Lower Than in the United States? Why Are Resiential PV Prices in Germany So Much Lower Than in the United States? The U.S. ...

  8. NOVEL TECHNOLOGIES DEVELOPED BY CREE LOWER THE COST OF HIGH-PERFORMANC...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    NOVEL TECHNOLOGIES DEVELOPED BY CREE LOWER THE COST OF HIGH-PERFORMANCE LED TROFFERS ON THE MARKET NOVEL TECHNOLOGIES DEVELOPED BY CREE LOWER THE COST OF HIGH-PERFORMANCE LED ...

  9. A Stirling engine for use with lower quality fuels (Journal Article...

    Office of Scientific and Technical Information (OSTI)

    A Stirling engine for use with lower quality fuels This content will become publicly available on June 21, 2017 Prev Next Title: A Stirling engine for use with lower quality ...

  10. Impact of Lower PM from Multimode Operation on Fuel Penalty from...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Impact of Lower PM from Multimode Operation on Fuel Penalty from DPF Regeneration Low engine-out PM emissions from HECC result in lower pressure drop rise rates across the DPF, ...

  11. Spin transition zone in Earth;s lower mantle (Journal Article...

    Office of Scientific and Technical Information (OSTI)

    Spin transition zone in Earth;s lower mantle Citation Details In-Document Search Title: Spin transition zone in Earth;s lower mantle Authors: Lin, J.-F. ; Vanko, G. ; Jacobsen, ...

  12. U.S. oil production forecast update reflects lower rig count

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    U.S. oil production forecast update reflects lower rig count Lower oil prices and fewer rigs drilling for crude oil are expected to slow U.S. oil production growth this year and in ...

  13. Impact of Lower PM from Multimode Operation on Fuel Penalty from DPF Regeneration

    Broader source: Energy.gov [DOE]

    Low engine-out PM emissions from HECC result in lower pressure drop rise rates across the DPF, less frequent DPF regeneration, and lower de-soot fuel penalty

  14. Specification of Selected Performance Monitoring and Commissioning Verification Algorithms for CHP Systems

    SciTech Connect (OSTI)

    Brambley, Michael R.; Katipamula, Srinivas

    2006-10-06

    Pacific Northwest National Laboratory (PNNL) is assisting the U.S. Department of Energy (DOE) Distributed Energy (DE) Program by developing advanced control algorithms that would lead to development of tools to enhance performance and reliability, and reduce emissions of distributed energy technologies, including combined heat and power technologies. This report documents phase 2 of the program, providing a detailed functional specification for algorithms for performance monitoring and commissioning verification, scheduled for development in FY 2006. The report identifies the systems for which algorithms will be developed, the specific functions of each algorithm, metrics which the algorithms will output, and inputs required by each algorithm.

  15. Parallel Algorithms for Graph Optimization using Tree Decompositions

    SciTech Connect (OSTI)

    Sullivan, Blair D; Weerapurage, Dinesh P; Groer, Christopher S

    2012-06-01

    Although many $\\cal{NP}$-hard graph optimization problems can be solved in polynomial time on graphs of bounded tree-width, the adoption of these techniques into mainstream scientific computation has been limited due to the high memory requirements of the necessary dynamic programming tables and excessive runtimes of sequential implementations. This work addresses both challenges by proposing a set of new parallel algorithms for all steps of a tree decomposition-based approach to solve the maximum weighted independent set problem. A hybrid OpenMP/MPI implementation includes a highly scalable parallel dynamic programming algorithm leveraging the MADNESS task-based runtime, and computational results demonstrate scaling. This work enables a significant expansion of the scale of graphs on which exact solutions to maximum weighted independent set can be obtained, and forms a framework for solving additional graph optimization problems with similar techniques.

  16. A spectral unaveraged algorithm for free electron laser simulations

    SciTech Connect (OSTI)

    Andriyash, I.A.; Lehe, R.; Malka, V.

    2015-02-01

    We propose and discuss a numerical method to model electromagnetic emission from the oscillating relativistic charged particles and its coherent amplification. The developed technique is well suited for free electron laser simulations, but it may also be useful for a wider range of physical problems involving resonant field‚Äďparticles interactions. The algorithm integrates the unaveraged coupled equations for the particles and the electromagnetic fields in a discrete spectral domain. Using this algorithm, it is possible to perform full three-dimensional or axisymmetric simulations of short-wavelength amplification. In this paper we describe the method, its implementation, and we present examples of free electron laser simulations comparing the results with the ones provided by commonly known free electron laser codes.

  17. Optimized Algorithm for Collision Probability Calculations in Cubic Geometry

    SciTech Connect (OSTI)

    Garcia, R.D.M.

    2004-06-15

    An optimized algorithm for implementing a recently developed method of computing collision probabilities (CPs) in three dimensions is reported in this work for the case of a homogeneous cube. Use is made of the geometrical regularity of the domain to rewrite, in a very compact way, the approximate formulas for calculating CPs in general three-dimensional geometry that were derived in a previous work by the author. The ensuing gain in computation time is found to be substantial: While the computation time associated with the general formulas increases as K{sup 2}, where K is the number of elements used in the calculation, that of the specific formulas increases only linearly with K. Accurate numerical results are given for several test cases, and an extension of the algorithm for computing the self-collision probability for a hexahedron is reported at the end of the work.

  18. APPLICATION OF NEURAL NETWORK ALGORITHMS FOR BPM LINEARIZATION

    SciTech Connect (OSTI)

    Musson, John C.; Seaton, Chad; Spata, Mike F.; Yan, Jianxun

    2012-11-01

    Stripline BPM sensors contain inherent non-linearities, as a result of field distortions from the pickup elements. Many methods have been devised to facilitate corrections, often employing polynomial fitting. The cost of computation makes real-time correction difficult, particulalry when integer math is utilized. The application of neural-network technology, particularly the multi-layer perceptron algorithm, is proposed as an efficient alternative for electrode linearization. A process of supervised learning is initially used to determine the weighting coefficients, which are subsequently applied to the incoming electrode data. A non-linear layer, known as an ?activation layer,? is responsible for the removal of saturation effects. Implementation of a perceptron in an FPGA-based software-defined radio (SDR) is presented, along with performance comparisons. In addition, efficient calculation of the sigmoidal activation function via the CORDIC algorithm is presented.

  19. Spatio-spectral image analysis using classical and neural algorithms

    SciTech Connect (OSTI)

    Roberts, S.; Gisler, G.R.; Theiler, J.

    1996-12-31

    Remote imaging at high spatial resolution has a number of environmental, industrial, and military applications. Analysis of high-resolution multi-spectral images usually involves either spectral analysis of single pixels in a multi- or hyper-spectral image or spatial analysis of multi-pixels in a panchromatic or monochromatic image. Although insufficient for some pattern recognition applications individually, the combination of spatial and spectral analytical techniques may allow the identification of more complex signatures that might not otherwise be manifested in the individual spatial or spectral domains. We report on some preliminary investigation of unsupervised classification methodologies (using both ``classical`` and ``neural`` algorithms) to identify potentially revealing features in these images. We apply dimension-reduction preprocessing to the images, duster, and compare the clusterings obtained by different algorithms. Our classification results are analyzed both visually and with a suite of objective, quantitative measures.

  20. Researcher, Los Alamos National Laboratory - Methods and Algorithms Group |

    National Nuclear Security Administration (NNSA)

    National Nuclear Security Administration | (NNSA) Researcher, Los Alamos National Laboratory - Methods and Algorithms Group Lowell Brown Lowell Brown November 2009 Los Alamos National Laboratory Fellow Six Los Alamos scientists have been designated 2009 Los Alamos National Laboratory Fellows in recognition of sustained, outstanding scientific contributions and exceptional promise for continued professional achievement. The title of Fellow is bestowed on only about 2 percent of the

  1. Physics-based signal processing algorithms for micromachined cantilever arrays

    DOE Patents [OSTI]

    Candy, James V; Clague, David S; Lee, Christopher L; Rudd, Robert E; Burnham, Alan K; Tringe, Joseph W

    2013-11-19

    A method of using physics-based signal processing algorithms for micromachined cantilever arrays. The methods utilize deflection of a micromachined cantilever that represents the chemical, biological, or physical element being detected. One embodiment of the method comprises the steps of modeling the deflection of the micromachined cantilever producing a deflection model, sensing the deflection of the micromachined cantilever and producing a signal representing the deflection, and comparing the signal representing the deflection with the deflection model.

  2. ANL CT Reconstruction Algorithm for Utilizing Digital X-ray

    Energy Science and Technology Software Center (OSTI)

    2004-05-01

    Reconstructs X-ray computed tomographic images from large data sets known as 16-bit binary sinograms when using a massively parallelized computer architecture such as a Beowuif cluster by parallelizing the X-ray CT reconstruction routine. The algorithm uses the concept of generation of an image from carefully obtained multiple 1-D or 2-D X-ray projections. The individual projections are filtered using a digital Fast Fourier Transform. The literature refers to this as filtered back projection.

  3. Detecting Temporal Precursor Words and Phrases Using a Learning Algorithm

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    and Wavelet Analysis - Energy Innovation Portal Early Stage R&D Early Stage R&D Find More Like This Return to Search Detecting Temporal Precursor Words and Phrases Using a Learning Algorithm and Wavelet Analysis Oak Ridge National Laboratory Contact ORNL About This Technology Technology Marketing Summary Most research on mammography focuses on image data, not textual reports. However, the reports associated with patient visits offer a valuable set of observations. To take advantage

  4. Using Algorithmic Differentiation to Increase Sensitivity of Piezoelectric

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Transducers with Respect to Material Parameters | Argonne Leadership Computing Facility Using Algorithmic Differentiation to Increase Sensitivity of Piezoelectric Transducers with Respect to Material Parameters Event Sponsor: Mathematics and Computer Science Division LANS Seminar Start Date: Aug 24 2016 - 3:00pm Building/Room: Building 240/Room 1404-1405 Location: Argonne National Laboratory Speaker(s): Benjamin Jurgelucks Speaker(s) Title: University of Paderborn Event Website:

  5. High-Resolution Computational Algorithms for Simulating Offshore Wind Farms

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Computational Algorithms for Simulating Offshore Wind Farms - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense

  6. Final Technical Report "Multiscale Simulation Algorithms for Biochemical Systems"

    SciTech Connect (OSTI)

    Petzold, Linda R.

    2012-10-25

    Biochemical systems are inherently multiscale and stochastic. In microscopic systems formed by living cells, the small numbers of reactant molecules can result in dynamical behavior that is discrete and stochastic rather than continuous and deterministic. An analysis tool that respects these dynamical characteristics is the stochastic simulation algorithm (SSA, Gillespie, 1976), a numerical simulation procedure that is essentially exact for chemical systems that are spatially homogeneous or well stirred. Despite recent improvements, as a procedure that simulates every reaction event, the SSA is necessarily inefficient for most realistic problems. There are two main reasons for this, both arising from the multiscale nature of the underlying problem: (1) stiffness, i.e. the presence of multiple timescales, the fastest of which are stable; and (2) the need to include in the simulation both species that are present in relatively small quantities and should be modeled by a discrete stochastic process, and species that are present in larger quantities and are more efficiently modeled by a deterministic differential equation (or at some scale in between). This project has focused on the development of fast and adaptive algorithms, and the fun- damental theory upon which they must be based, for the multiscale simulation of biochemical systems. Areas addressed by this project include: (1) Theoretical and practical foundations for ac- celerated discrete stochastic simulation (tau-leaping); (2) Dealing with stiffness (fast reactions) in an efficient and well-justified manner in discrete stochastic simulation; (3) Development of adaptive multiscale algorithms for spatially homogeneous discrete stochastic simulation; (4) Development of high-performance SSA algorithms.

  7. Invariant patterns in crystal lattices: Implications for protein folding algorithms

    SciTech Connect (OSTI)

    Hart, W.E.; Istrail, S.

    1995-12-11

    Crystal lattices are infinite periodic graphs that occur naturally in a variety of geometries and which are of fundamental importance in polymer science. Discrete models of protein folding use crystal lattices to define the space of protein conformations. Because various crystal lattices provide discretizations of the same physical phenomenon, it is reasonable to expect that there will exist ``invariants`` across lattices that define fundamental properties of protein folding process; an invariant defines a property that transcends particular lattice formulations. This paper identifies two classes of invariants, defined in terms of sublattices that are related to the design of algorithms for the structure prediction problem. The first class of invariants is, used to define a master approximation algorithm for which provable performance guarantees exist. This algorithm can be applied to generalizations of the hydrophobic-hydrophilic model that have lattices other than the cubic lattice, including most of the crystal lattices commonly used in protein folding lattice models. The second class of invariants applies to a related lattice model. Using these invariants, we show that for this model the structure prediction problem is intractable across a variety of three-dimensional lattices. It`` turns out that these two classes of invariants are respectively sublattices of the two- and three-dimensional square lattice. As the square lattices are the standard lattices used in empirical protein folding` studies, our results provide a rigorous confirmation of the ability of these lattices to provide insight into biological phenomenon. Our results are the first in the literature that identify algorithmic paradigms for the protein structure prediction problem which transcend particular lattice formulations.

  8. Constant-complexity stochastic simulation algorithm with optimal binning

    SciTech Connect (OSTI)

    Sanft, Kevin R.; Othmer, Hans G.

    2015-08-21

    At the molecular level, biochemical processes are governed by random interactions between reactant molecules, and the dynamics of such systems are inherently stochastic. When the copy numbers of reactants are large, a deterministic description is adequate, but when they are small, such systems are often modeled as continuous-time Markov jump processes that can be described by the chemical master equation. Gillespie’s Stochastic Simulation Algorithm (SSA) generates exact trajectories of these systems, but the amount of computational work required for each step of the original SSA is proportional to the number of reaction channels, leading to computational complexity that scales linearly with the problem size. The original SSA is therefore inefficient for large problems, which has prompted the development of several alternative formulations with improved scaling properties. We describe an exact SSA that uses a table data structure with event time binning to achieve constant computational complexity with respect to the number of reaction channels for weakly coupled reaction networks. We present a novel adaptive binning strategy and discuss optimal algorithm parameters. We compare the computational efficiency of the algorithm to existing methods and demonstrate excellent scaling for large problems. This method is well suited for generating exact trajectories of large weakly coupled models, including those that can be described by the reaction-diffusion master equation that arises from spatially discretized reaction-diffusion processes.

  9. A fast contour descriptor algorithm for supernova imageclassification

    SciTech Connect (OSTI)

    Aragon, Cecilia R.; Aragon, David Bradburn

    2006-07-16

    We describe a fast contour descriptor algorithm and its application to a distributed supernova detection system (the Nearby Supernova Factory) that processes 600,000 candidate objects in 80 GB of image data per night. Our shape-detection algorithm reduced the number of false positives generated by the supernova search pipeline by 41% while producing no measurable impact on running time. Fourier descriptors are an established method of numerically describing the shapes of object contours, but transform-based techniques are ordinarily avoided in this type of application due to their computational cost. We devised a fast contour descriptor implementation for supernova candidates that meets the tight processing budget of the application. Using the lowest-order descriptors (F{sub 1} and F{sub -1}) and the total variance in the contour, we obtain one feature representing the eccentricity of the object and another denoting its irregularity. Because the number of Fourier terms to be calculated is fixed and small, the algorithm runs in linear time, rather than the O(n log n) time of an FFT. Constraints on object size allow further optimizations so that the total cost of producing the required contour descriptors is about 4n addition/subtraction operations, where n is the length of the contour.

  10. GMG: A Guaranteed, Efficient Global Optimization Algorithm for Remote Sensing.

    SciTech Connect (OSTI)

    D'Helon, CD

    2004-08-18

    The monocular passive ranging (MPR) problem in remote sensing consists of identifying the precise range of an airborne target (missile, plane, etc.) from its observed radiance. This inverse problem may be set as a global optimization problem (GOP) whereby the difference between the observed and model predicted radiances is minimized over the possible ranges and atmospheric conditions. Using additional information about the error function between the predicted and observed radiances of the target, we developed GMG, a new algorithm to find the Global Minimum with a Guarantee. The new algorithm transforms the original continuous GOP into a discrete search problem, thereby guaranteeing to find the position of the global minimum in a reasonably short time. The algorithm is first applied to the golf course problem, which serves as a litmus test for its performance in the presence of both complete and degraded additional information. GMG is further assessed on a set of standard benchmark functions and then applied to various realizations of the MPR problem.

  11. A semantic characterization of an algorithm for estimating others` beliefs from observation

    SciTech Connect (OSTI)

    Isozaki, Hideki; Katsuno, Hirofumi

    1996-12-31

    Human beings often estimate others beliefs and intentions when they interact with others. Estimation of others beliefs will be useful also in controlling the behavior and utterances of artificial agents, especially when lines of communication are unstable or slow. But, devising such estimation algorithms and background theories for the algorithms is difficult, because of many factors affecting one`s belief. We have proposed an algorithm that estimates others beliefs from observation in the changing world. Experimental results show that this algorithm returns natural answers to various queries. However, the algorithm is only heuristic, and how the algorithm deals with beliefs and their changes is not entirely clear. We propose certain semantics based on a nonstandard structure for modal logic. By using these semantics, we shed light on a logical meaning of the belief estimation that the algorithm deals with. We also discuss how the semantics and the algorithm can be generalized.

  12. Solution Algorithms for Effective-Field Models of Multi-Fluid...

    Office of Scientific and Technical Information (OSTI)

    Solution Algorithms for Effective-Field Models of Multi-Fluid Flows Citation Details In-Document Search Title: Solution Algorithms for Effective-Field Models of Multi-Fluid Flows ...

  13. Enhanced Algorithm for Traceability Measurements in UF6 Flow Pipe

    SciTech Connect (OSTI)

    Copinger, Thomas E; March-Leuba, Jose A; Upadhyaya, Belle R

    2007-01-01

    The Blend Down Monitoring System (BDMS) is used to continually assess the mixing and downblending of highly enriched uranium (HEU) with low-enriched uranium (LEU). This is accomplished by measuring the enrichment and the fissile mass flow rate of the UF{sub 6} gas located in each process pipe of the system by inducing the fission of the {sup 235}U contained in the gas. Measurements are taken along this process route to trace the HEU content all the way to the product stream, ensuring that HEU was down blended. A problem associated with the current traceability measuring algorithm is that it does not account for the time-varying background that is introduced to the system by the movement of the shutter located at the HEU leg of the process. The current way of dealing with that problem is to discard the data for periods when the HEU shutter is open (50% of overall data) because it correlates with the same timeframe in which the direct contribution to background from the HEU shutter was seen. The advanced algorithm presented in this paper allows for continuous measurement of traceability (100%) by accurately accounting for the varying background during the shutter-movement cycle. This algorithm utilizes advanced processing techniques that identify and discriminate the different sources of background radiation, instead of grouping them into one background group for the whole measurement cycle. By using this additional information, the traceability measurement statistics can achieve a greater number of values, thus improving the overall usefulness of these measurements in the BDMS. The effectiveness of the new algorithm was determined by modeling it in a simulation and ensuring that it retained its integrity through a large number of runs, including various shutter-failure conditions. Each run was performed with varying amounts of background radiation from each individual source and with varying traceability counts. The simulations documented in this paper prove that

  14. An efficient algorithm for incompressible N-phase flows

    SciTech Connect (OSTI)

    Dong, S.

    2014-11-01

    We present an efficient algorithm within the phase field framework for simulating the motion of a mixture of N (N?2) immiscible incompressible fluids, with possibly very different physical properties such as densities, viscosities, and pairwise surface tensions. The algorithm employs a physical formulation for the N-phase system that honors the conservations of mass and momentum and the second law of thermodynamics. We present a method for uniquely determining the mixing energy density coefficients involved in the N-phase model based on the pairwise surface tensions among the N fluids. Our numerical algorithm has several attractive properties that make it computationally very efficient: (i) it has completely de-coupled the computations for different flow variables, and has also completely de-coupled the computations for the (N?1) phase field functions; (ii) the algorithm only requires the solution of linear algebraic systems after discretization, and no nonlinear algebraic solve is needed; (iii) for each flow variable the linear algebraic system involves only constant and time-independent coefficient matrices, which can be pre-computed during pre-processing, despite the variable density and variable viscosity of the N-phase mixture; (iv) within a time step the semi-discretized system involves only individual de-coupled Helmholtz-type (including Poisson) equations, despite the strongly-coupled phaseĖfield system of fourth spatial order at the continuum level; (v) the algorithm is suitable for large density contrasts and large viscosity contrasts among the N fluids. Extensive numerical experiments have been presented for several problems involving multiple fluid phases, large density contrasts and large viscosity contrasts. In particular, we compare our simulations with the de Gennes theory, and demonstrate that our method produces physically accurate results for multiple fluid phases. We also demonstrate the significant and sometimes dramatic effects of the gravity

  15. New Ways to Produce Geothermal Power at Lower Temperatures | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy Ways to Produce Geothermal Power at Lower Temperatures New Ways to Produce Geothermal Power at Lower Temperatures April 15, 2013 - 2:13pm Addthis Note: This article appeared in the April 2013 issue of Power Engineering magazine. By Tim Reinhardt, physical scientist, DOE's Geothermal Technologies Office Investments by the U.S. Department of Energy (DOE) are helping to produce geothermal power at increasingly lower temperatures. While traditional geothermal energy relies on geologically

  16. Tour of Zero: Helping Customers Find Better Homes at Lower Costs Webinar

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    (Text Version) | Department of Energy Tour of Zero: Helping Customers Find Better Homes at Lower Costs Webinar (Text Version) Tour of Zero: Helping Customers Find Better Homes at Lower Costs Webinar (Text Version) Below is the text version of the webinar Tour of Zero: Helping Customers Find Better Homes at Lower Costs, presented in October 2015. Watch the presentation. Lindsay Parker: Hi, everyone. Welcome to the Department of Energy Zero Energy Ready Home technical training webinar series.

  17. Ten Ways to Lower Perceived Risk and Finance Rates within Federal Utility

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy Service Contracts | Department of Energy Ten Ways to Lower Perceived Risk and Finance Rates within Federal Utility Energy Service Contracts Ten Ways to Lower Perceived Risk and Finance Rates within Federal Utility Energy Service Contracts Federal agencies can use the following 10 methods during project negotiations to lower perceived project risk and finance rates to get the best value from federal utility energy service contracts (UESCs). 1. Remember: Time is Money Money can be saved

  18. Big & Small Ideas: How to Lower Costs of Project Finance to achieve...

    Broader source: Energy.gov (indexed) [DOE]

    ssgrandchallengefinancearfin.pdf More Documents & Publications Finance Idol Word Cloud Developing Big and Small Ideas: How Can We Lower the Costs of Project Finance to...

  19. Energy Department and South Dakota Tribal Leaders Explore Ways to Lower Energy Costs

    Broader source: Energy.gov [DOE]

    Learn how the Energy Department is providing South Dakota tribes with resources and technical assistance to help lower their energy costs.

  20. http://www.energy.gov/media/F...Biofuels_Lower_Gas_Prices.pdf...

    Broader source: Energy.gov (indexed) [DOE]

    ...F...BiofuelsLowerGasPrices.pdf (52.89 KB) More Documents & Publications Fact Sheet: Gas Prices and Oil Consumption Would Increase Without Biofuels Biofuels & Greenhouse Gas ...

  1. Using Data-Focused Tools to Assess Lower Vehicle Energy Use (Presentation)

    SciTech Connect (OSTI)

    Walkowicz, K.

    2013-05-01

    This presentation, 'Using Data-Focused Tools to Assess Lower Vehicle Energy Use,' was presented at the Green Truck Summit 2013; March 5, 2013, Indianapolis, IN.

  2. Silicon Ink Technology Offers Path to Higher Efficiency Solar Cells at Lower Cost

    Broader source: Energy.gov [DOE]

    EERE supported the development of the first liquid silicon on the market that offers a novel path to producing more efficient solar cells at lower cost.

  3. Raman vibrational spectra of bulk to monolayer Re S 2 with lower...

    Office of Scientific and Technical Information (OSTI)

    Title: Raman vibrational spectra of bulk to monolayer Re S 2 with lower symmetry Authors: Feng, Yanqing ; Zhou, Wei ; Wang, Yaojia ; Zhou, Jian ; Liu, Erfu ; Fu, Yajun ; Ni, ...

  4. Five and Dime: Revisiting Strategies for Lowering the Costs of Delivering Energy Efficiency (101)

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Peer Exchange Call Series: Five and Dime: Revisiting Strategies for Lowering the Costs of Delivering Energy Efficiency (101), call slides and discussion summary.

  5. Energy Department Awards $2.2 Million to Drive Innovative Solutions, Lower Costs of Solar

    Broader source: Energy.gov [DOE]

    The Energy Department today announced $2.2 million for three California projects to help lower the costs of solar electricity and increase deployment nationwide.

  6. On constructing optimistic simulation algorithms for the discrete event system specification

    SciTech Connect (OSTI)

    Nutaro, James J

    2008-01-01

    This article describes a Time Warp simulation algorithm for discrete event models that are described in terms of the Discrete Event System Specification (DEVS). The article shows how the total state transition and total output function of a DEVS atomic model can be transformed into an event processing procedure for a logical process. A specific Time Warp algorithm is constructed around this logical process, and it is shown that the algorithm correctly simulates a DEVS coupled model that consists entirely of interacting atomic models. The simulation algorithm is presented abstractly; it is intended to provide a basis for implementing efficient and scalable parallel algorithms that correctly simulate DEVS models.

  7. A fast and memory-sparing probabilistic selection algorithm for the GPU

    SciTech Connect (OSTI)

    Monroe, Laura M; Wendelberger, Joanne; Michalak, Sarah

    2010-09-29

    A fast and memory-sparing probabilistic top-N selection algorithm is implemented on the GPU. This probabilistic algorithm gives a deterministic result and always terminates. The use of randomization reduces the amount of data that needs heavy processing, and so reduces both the memory requirements and the average time required for the algorithm. This algorithm is well-suited to more general parallel processors with multiple layers of memory hierarchy. Probabilistic Las Vegas algorithms of this kind are a form of stochastic optimization and can be especially useful for processors having a limited amount of fast memory available.

  8. Parameterization of interatomic potential by genetic algorithms: A case study

    SciTech Connect (OSTI)

    Ghosh, Partha S. Arya, A.; Dey, G. K.; Ranawat, Y. S.

    2015-06-24

    A framework for Genetic Algorithm based methodology is developed to systematically obtain and optimize parameters for interatomic force field functions for MD simulations by fitting to a reference data base. This methodology is applied to the fitting of ThO{sub 2} (CaF{sub 2} prototype) ‚Äď a representative of ceramic based potential fuel for nuclear applications. The resulting GA optimized parameterization of ThO{sub 2} is able to capture basic structural, mechanical, thermo-physical properties and also describes defect structures within the permissible range.

  9. Modeling and Algorithmic Approaches to Constitutively-Complex, Microstructured Fluids

    SciTech Connect (OSTI)

    Miller, Gregory H.; Forest, Gregory

    2011-12-22

    We present a new multiscale model for complex uids based on three scales: microscopic, kinetic, and continuum. We choose the microscopic level as Kramers' bead-rod model for polymers, which we describe as a system of stochastic di#11;erential equations with an implicit constraint formulation. The associated Fokker-Planck equation is then derived, and adiabatic elimination removes the fast momentum coordinates. Approached in this way, the kinetic level reduces to a dispersive drift equation. The continuum level is modeled with a #12;nite volume Godunov-projection algorithm. We demonstrate computation of viscoelastic stress divergence using this multiscale approach.

  10. Faith in the algorithm, part 1: beyond the turing test

    SciTech Connect (OSTI)

    Rodriguez, Marko A; Pepe, Alberto

    2009-01-01

    Since the Turing test was first proposed by Alan Turing in 1950, the goal of artificial intelligence has been predicated on the ability for computers to imitate human intelligence. However, the majority of uses for the computer can be said to fall outside the domain of human abilities and it is exactly outside of this domain where computers have demonstrated their greatest contribution. Another definition for artificial intelligence is one that is not predicated on human mimicry, but instead, on human amplification, where the algorithms that are best at accomplishing this are deemed the most intelligent. This article surveys various systems that augment human and social intelligence.

  11. Algorithms for a spot price responding residential load controller

    SciTech Connect (OSTI)

    Schweppe, F.C.; Daryanian, B.; Tabors, R.D.

    1989-05-01

    Increased unbundling of electric utility services has become a major interest in the industry. This paper presents a description of the logic and structure for a set of spot price based algorithms designed for use in residential load control systems. The paper presents the functions to be fulfilled by such a price responding device and describes the end use devices available in residences and the control logics applicable to each. The paper concludes that there is a need to understand customer attitudes and acceptance in the design of the response strategies and in the design of the man machine interface.

  12. A Numerical Algorithm for the Solution of a Phase-Field Model of Polycrystalline Materials

    SciTech Connect (OSTI)

    Dorr, M R; Fattebert, J; Wickett, M E; Belak, J F; Turchi, P A

    2008-12-04

    We describe an algorithm for the numerical solution of a phase-field model (PFM) of microstructure evolution in polycrystalline materials. The PFM system of equations includes a local order parameter, a quaternion representation of local orientation and a species composition parameter. The algorithm is based on the implicit integration of a semidiscretization of the PFM system using a backward difference formula (BDF) temporal discretization combined with a Newton-Krylov algorithm to solve the nonlinear system at each time step. The BDF algorithm is combined with a coordinate projection method to maintain quaternion unit length, which is related to an important solution invariant. A key element of the Newton-Krylov algorithm is the selection of a preconditioner to accelerate the convergence of the Generalized Minimum Residual algorithm used to solve the Jacobian linear system in each Newton step. Results are presented for the application of the algorithm to 2D and 3D examples.

  13. Weight optimization of large span steel truss structures with genetic algorithm

    SciTech Connect (OSTI)

    Mojolic, Cristian; Hulea, Radu; P√Ęrv, Bianca Roxana

    2015-03-10

    The paper presents the weight optimization process of the main steel truss that supports the Slatina Sport Hall roof. The structure was loaded with self-weight, dead loads, live loads, snow, wind and temperature, grouped in eleven load cases. The optimization of the structure was made using genetic algorithms implemented in a Matlab code. A total number of four different cases were taken into consideration when trying to determine the lowest weight of the structure, depending on the types of connections with the concrete structure ( types of supports, bearing modes), and the possibility of the lower truss chord nodes to change their vertical position. A number of restrictions for tension, maximum displacement and buckling were enforced on the elements, and the cross sections are chosen by the program from a user data base. The results in each of the four cases were analyzed in terms of weight, element tension, element section and displacement. The paper presents the optimization process and the conclusions drawn.

  14. Municipal Utilities' Investment in Smart Grid Technologies Improves Services and Lowers Costs

    Broader source: Energy.gov [DOE]

    OE has released a new Smart Grid report describing the activities of three municipal utilities that received funding through the Recovery Act Smart Grid Investment Grant program. "Municipal Utilities' Investment in Smart Grid Technologies Improves Services and Lowers Costs" reports on the benefits of the cities' investments, including improved operating efficiencies, lower costs, shorter outages, and reduced peak demands and electricity consumption.

  15. Lower Yellowstone Intake Diversion Dam Fish Passage Project, Montana. Draft Environmental Impact Statement

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    C - SECTION 404(b)(1) Lower Yellowstone Intake Fish Passage EIS Draft Section 404(b)(1) Analysis Lower Yellowstone Intake Diversion Dam Fish Passage Project Draft Appendix C Section 404(b)(1) Analysis May 2016 i Contents 1 Introduction ..............................................................................................................................1 1.1 Background .......................................................................................................................1

  16. Lower Yellowstone Intake Diversion Dam Fish Passage Project, Montana. Draft Environmental Inpact Statement

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    B - COST ENGINEERING Lower Yellowstone Intake Fish Passage EIS Lower Yellowstone Intake Diversion Dam Fish Project Draft Cost Engineering Appendix May 2016 ii Contents 1.0 Alternative Construction Cost Estimates ................................................................................ 1 1.1 General ........................................................................................................................ 1 1.2 Purpose

  17. Municipal Utilities' Investment in Smart Grid Technologies Improves Services and Lowers Costs

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    October 2014 Municipal Utilities' Investment in Smart Grid Technologies Improves Services and Lowers Costs Page 1 U.S. Department of Energy |October 2014 Municipal Utilities' Investment in Smart Grid Technologies Improves Services and Lowers Costs Page ii Table of Contents Executive Summary ...................................................................................................................................... iii 1. Introduction

  18. A cooperative control algorithm for camera based observational systems.

    SciTech Connect (OSTI)

    Young, Joseph G.

    2012-01-01

    Over the last several years, there has been considerable growth in camera based observation systems for a variety of safety, scientific, and recreational applications. In order to improve the effectiveness of these systems, we frequently desire the ability to increase the number of observed objects, but solving this problem is not as simple as adding more cameras. Quite often, there are economic or physical restrictions that prevent us from adding additional cameras to the system. As a result, we require methods that coordinate the tracking of objects between multiple cameras in an optimal way. In order to accomplish this goal, we present a new cooperative control algorithm for a camera based observational system. Specifically, we present a receding horizon control where we model the underlying optimal control problem as a mixed integer linear program. The benefit of this design is that we can coordinate the actions between each camera while simultaneously respecting its kinematics. In addition, we further improve the quality of our solution by coupling our algorithm with a Kalman filter. Through this integration, we not only add a predictive component to our control, but we use the uncertainty estimates provided by the filter to encourage the system to periodically observe any outliers in the observed area. This combined approach allows us to intelligently observe the entire region of interest in an effective and thorough manner.

  19. TRACC: Algorithm for Predicting and Tracking Barges on Inland Waterways

    Energy Science and Technology Software Center (OSTI)

    2010-04-23

    Algorithm developed in this work is used to predict the location and estimate the traveling speed of a barge moving in inland waterway network. Measurements obtained from GPS or other systems are corrupted with measurement noise and reported at large, irregular time intervals. Thus, creating uncertainty about the current location of the barge and minimizing the effectiveness of emergency response activities in case of an accident or act of terrorism. Developing a prediction algorithm becomemore¬†¬Ľ a non-trivial problem due to estimation of speed becomes challenging, attributed to the complex interactions between multiple systems associated in the process. This software, uses systems approach in modeling the motion dynamics of the barge and estimates the location and speed of the barge at next, user defined, time interval. In this work, first, to estimate the speed a non-linear, stochastic modeling technique was developed that take local variations and interactions existing in the system. Output speed is then used as an observation in a statistically optimal filtering technique, Kalman filter, formulated in state-space to minimize numerous errors observed in the system. The combined system synergistically fuses the local information available with measurements obtained to predict the location and speed of traveling of the barge accurately.¬ę¬†less

  20. Incorrect support and missing center tolerances of phasing algorithms

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Huang, Xiaojing; Nelson, Johanna; Steinbrener, Jan; Kirz, Janos; Turner, Joshua J.; Jacobsen, Chris

    2010-01-01

    In x-ray diffraction microscopy, iterative algorithms retrieve reciprocal space phase information, and a real space image, from an object's coherent diffraction intensities through the use of a priori information such as a finite support constraint. In many experiments, the object's shape or support is not well known, and the diffraction pattern is incompletely measured. We describe here computer simulations to look at the effects of both of these possible errors when using several common reconstruction algorithms. Overly tight object supports prevent successful convergence; however, we show that this can often be recognized through pathological behavior of the phase retrieval transfermore¬†¬Ľ function. Dynamic range limitations often make it difficult to record the central speckles of the diffraction pattern. We show that this leads to increasing artifacts in the image when the number of missing central speckles exceeds about 10, and that the removal of unconstrained modes from the reconstructed image is helpful only when the number of missing central speckles is less than about 50. In conclusion, this simulation study helps in judging the reconstructability of experimentally recorded coherent diffraction patterns.¬ę¬†less

  1. Poster ‚ÄĒ Thur Eve ‚ÄĒ 09: Evaluation of electrical impedance and computed tomography fusion algorithms using an anthropomorphic phantom

    SciTech Connect (OSTI)

    Chugh, Brige Paul; Krishnan, Kalpagam; Liu, Jeff; Kohli, Kirpal

    2014-08-15

    Integration of biological conductivity information provided by Electrical Impedance Tomography (EIT) with anatomical information provided by Computed Tomography (CT) imaging could improve the ability to characterize tissues in clinical applications. In this paper, we report results of our study which compared the fusion of EIT with CT using three different image fusion algorithms, namely: weighted averaging, wavelet fusion, and ROI indexing. The ROI indexing method of fusion involves segmenting the regions of interest from the CT image and replacing the pixels with the pixels of the EIT image. The three algorithms were applied to a CT and EIT image of an anthropomorphic phantom, constructed out of five acrylic contrast targets with varying diameter embedded in a base of gelatin bolus. The imaging performance was assessed using Detectability and Structural Similarity Index Measure (SSIM). Wavelet fusion and ROI-indexing resulted in lower Detectability (by 35% and 47%, respectively) yet higher SSIM (by 66% and 73%, respectively) than weighted averaging. Our results suggest that wavelet fusion and ROI-indexing yielded more consistent and optimal fusion performance than weighted averaging.

  2. High-resolution stratigraphic forward modeling: A case study of the lower-middle San Andres formation, Permian basin

    SciTech Connect (OSTI)

    Shuster, M.W. , Rijswijk ); Childers, D.W. )

    1993-09-01

    This study has attempted to calibrate Shell's two-dimensional (2-D) basin modeling program as an exploration tool by simulating the stratigraphy of a mixed carbonate/clastic third-order depositional sequence. The lower-middle San Andres Formation was selected because available log, core, and outcrop data from the Northwest Shelf area, Permian basin, provided an excellent calibration set. A regional stratigraphic cross section from the Cato-Chaveroo to the Wasson fields was constructed delineating lithology and porosity distribution. Approximately 10 shoaling-upward depositional cycles were interpreted. A higher frequency, five-in-one cyclicity was also interpreted based on core and outcrop data. The observed stratigraphy was simulated using a composite eustasy consisting of third-order (2,000,000 yr), fourth-order (100,000 yr), and fifth-order (20,000 yr) sinusoids each at five-meter amplitudes. Subsidence input was constrained by back-stripped tectonic subsidence curves calculated from well data. Sedimentation parameters were interactively derived. New empirically based algorithms were used to model Dunham lithofacies, environmental facies, and sabkha anhydrite distribution. Synthetic log and 2-D synthetic seismic profiles were constructed from the simulation output. The simulation results suggest that (1) relative sea level is the dominant control on the observed depositional cyclicity, (2) the distribution of regional seal facies (anhydrite) reflects falling sea level and prolonged exposure, (3) limestone-dolomite trends on the shelf are grossly related to environment and (4) the distribution of grainstones and packstones (potential reservoirs) occurs as fourth- and fifth-order offlapping and aggradational pods. The synthetic log signatures compared to [open quotes]real[close quotes] logs substantiate the interpreted depositional cyclicity, but also point out the difficulty in interpreting high-order cycles based on log data alone.

  3. Evaluating cloud retrieval algorithms with the ARM BBHRP framework

    SciTech Connect (OSTI)

    Mlawer,E.; Dunn,M.; Mlawer, E.; Shippert, T.; Troyan, D.; Johnson, K. L.; Miller, M. A.; Delamere, J.; Turner, D. D.; Jensen, M. P.; Flynn, C.; Shupe, M.; Comstock, J.; Long, C. N.; Clough, S. T.; Sivaraman, C.; Khaiyer, M.; Xie, S.; Rutan, D.; Minnis, P.

    2008-03-10

    Climate and weather prediction models require accurate calculations of vertical profiles of radiative heating. Although heating rate calculations cannot be directly validated due to the lack of corresponding observations, surface and top-of-atmosphere measurements can indirectly establish the quality of computed heating rates through validation of the calculated irradiances at the atmospheric boundaries. The ARM Broadband Heating Rate Profile (BBHRP) project, a collaboration of all the working groups in the program, was designed with these heating rate validations as a key objective. Given the large dependence of radiative heating rates on cloud properties, a critical component of BBHRP radiative closure analyses has been the evaluation of cloud microphysical retrieval algorithms. This evaluation is an important step in establishing the necessary confidence in the continuous profiles of computed radiative heating rates produced by BBHRP at the ARM Climate Research Facility (ACRF) sites that are needed for modeling studies. This poster details the continued effort to evaluate cloud property retrieval algorithms within the BBHRP framework, a key focus of the project this year. A requirement for the computation of accurate heating rate profiles is a robust cloud microphysical product that captures the occurrence, height, and phase of clouds above each ACRF site. Various approaches to retrieve the microphysical properties of liquid, ice, and mixed-phase clouds have been processed in BBHRP for the ACRF Southern Great Plains (SGP) and the North Slope of Alaska (NSA) sites. These retrieval methods span a range of assumptions concerning the parameterization of cloud location, particle density, size, shape, and involve different measurement sources. We will present the radiative closure results from several different retrieval approaches for the SGP site, including those from Microbase, the current 'reference' retrieval approach in BBHRP. At the NSA, mixed-phase clouds and

  4. Assessment of dedicated low-dose cardiac micro-CT reconstruction algorithms using the left ventricular volume of small rodents as a performance measure

    SciTech Connect (OSTI)

    Maier, Joscha; Sawall, Stefan; KachelrieŖ, Marc

    2014-05-15

    Purpose: Phase-correlated microcomputed tomography (micro-CT) imaging plays an important role in the assessment of mouse models of cardiovascular diseases and the determination of functional parameters as the left ventricular volume. As the current gold standard, the phase-correlated Feldkamp reconstruction (PCF), shows poor performance in case of low dose scans, more sophisticated reconstruction algorithms have been proposed to enable low-dose imaging. In this study, the authors focus on the McKinnon-Bates (MKB) algorithm, the low dose phase-correlated (LDPC) reconstruction, and the high-dimensional total variation minimization reconstruction (HDTV) and investigate their potential to accurately determine the left ventricular volume at different dose levels from 50 to 500 mGy. The results were verified in phantom studies of a five-dimensional (5D) mathematical mouse phantom. Methods: Micro-CT data of eight mice, each administered with an x-ray dose of 500 mGy, were acquired, retrospectively gated for cardiac and respiratory motion and reconstructed using PCF, MKB, LDPC, and HDTV. Dose levels down to 50 mGy were simulated by using only a fraction of the projections. Contrast-to-noise ratio (CNR) was evaluated as a measure of image quality. Left ventricular volume was determined using different segmentation algorithms (Otsu, level sets, region growing). Forward projections of the 5D mouse phantom were performed to simulate a micro-CT scan. The simulated data were processed the same way as the real mouse data sets. Results: Compared to the conventional PCF reconstruction, the MKB, LDPC, and HDTV algorithm yield images of increased quality in terms of CNR. While the MKB reconstruction only provides small improvements, a significant increase of the CNR is observed in LDPC and HDTV reconstructions. The phantom studies demonstrate that left ventricular volumes can be determined accurately at 500 mGy. For lower dose levels which were simulated for real mouse data sets, the

  5. Summary of LNG Export Applications of the Lower 48 States | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy Summary of LNG Export Applications of the Lower 48 States Summary of LNG Export Applications of the Lower 48 States List of current LNG Export Applications of the Lower 48 States before the Department of Energy (as of July 29, 2016). For Listing of all LNG Export Applications before the Department of Energy, please select year: 2016,2015, 2014. Summary of LNG Export Applications (239.2 KB) More Documents & Publications Lake Charles Liquefaction Project EA-1942: Finding of No

  6. EIS-0526: Lower Yellowstone Intake Diversion Dam Fish Passage Project; near Glendive, Montana

    Broader source: Energy.gov [DOE]

    The U.S. Army Corps of Engineers and the Bureau of Reclamation are jointly preparing an EIS that analyzes the potential environmental impacts of the proposed Lower Yellowstone Intake Diversion Dam Fish Passage Project. The proposed project is to improve passage for endangered pallid sturgeon and other native fish at the Intake Diversion Dam in the lower Yellowstone River while continuing the operation of the Lower Yellowstone Irrigation Project. DOE’s Western Area Power Administration is a cooperating agency in preparing the EIS because some alternatives include power interconnection, transmission, and/or delivery options. Additional information is available at http://www.usbr.gov/gp/mtao/loweryellowstone/.

  7. Fact #889: September 7, 2015 Average Diesel Price Lower than Gasoline for

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    the First Time in Six Years | Department of Energy 9: September 7, 2015 Average Diesel Price Lower than Gasoline for the First Time in Six Years Fact #889: September 7, 2015 Average Diesel Price Lower than Gasoline for the First Time in Six Years SUBSCRIBE to the Fact of the Week In July of 2015, the nationwide average price of diesel was lower than the average price of a regular gallon of gasoline for the first time since June 2009. Both gasoline and diesel prices fluctuate throughout the

  8. Fact #889: September 7, 2015 Average Diesel Price Lower than Gasoline for

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    the First Time in Six Years - Dataset | Department of Energy 9: September 7, 2015 Average Diesel Price Lower than Gasoline for the First Time in Six Years - Dataset Fact #889: September 7, 2015 Average Diesel Price Lower than Gasoline for the First Time in Six Years - Dataset Excel file and dataset for Average Diesel Price Lower than Gasoline for the First Time in Six Years fotw#889_web.xlsx (19.04 KB) More Documents & Publications Fact #859 February 9, 2015 Excess Supply is the Most

  9. Big and Small Ideas: How to Lower Solar Financing Costs | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy Big and Small Ideas: How to Lower Solar Financing Costs Big and Small Ideas: How to Lower Solar Financing Costs DOE hosted the "Big & Small Ideas: How to Lower Solar Financing Costs" breakout session during the SunShot Grand Challenge Summit and Technology Forum. This session explored a range of solutions for making scalable, low-cost financing more available to the growing solar energy market. The intent was to generate new ideas, build connections, and accelerate

  10. Using QECBs for Street Lighting Upgrades: Lighting the Way to Lower Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Bills in San Diego | Department of Energy QECBs for Street Lighting Upgrades: Lighting the Way to Lower Energy Bills in San Diego Using QECBs for Street Lighting Upgrades: Lighting the Way to Lower Energy Bills in San Diego Summarizes how the City of San Diego leveraged $13.1 million in qualified energy conservation bonds to increase the size of a street lighting upgrade project. Author: Lawrence Berkeley National Laboratory Lighting the Way to Lower Energy Bills in San Diego (322.66 KB)

  11. Jet measurements at D0 using a KT algorithm

    SciTech Connect (OSTI)

    V.Daniel Elvira

    2002-10-03

    D0 has implemented and calibrated a k{perpendicular} jet algorithm for the first time in a p{bar p} collider. We present two results based on 1992-1996 data which were recently published: the subjet multiplicity in quark and gluon jets and the central inclusive jet cross section. The measured ratio between subjet multiplicities in gluon and quark jets is consistent with theoretical predictions and previous experimental values. NLO pQCD predictions of the k{perpendicular} inclusive jet cross section agree with the D0 measurement, although marginally in the low p{sub T} range. We also present a preliminary measurement of thrust cross sections, which indicates the need to include higher than {alpha}{sub s}{sup 3} terms and resumation in the theoretical calculations.

  12. Tightly Coupled Multiphysics Algorithm for Pebble Bed Reactors

    SciTech Connect (OSTI)

    HyeongKae Park; Dana Knoll; Derek Gaston; Richard Martineau

    2010-10-01

    We have developed a tightly coupled multiphysics simulation tool for the pebble-bed reactor (PBR) concept, a type of Very High-Temperature gas-cooled Reactor (VHTR). The simulation tool, PRONGHORN, takes advantages of the Multiphysics Object-Oriented Simulation Environment library, and is capable of solving multidimensional thermal-fluid and neutronics problems implicitly with a Newton-based approach. Expensive Jacobian matrix formation is alleviated via the Jacobian-free Newton-Krylov method, and physics-based preconditioning is applied to minimize Krylov iterations. Motivation for the work is provided via analysis and numerical experiments on simpler multiphysics reactor models. We then provide detail of the physical models and numerical methods in PRONGHORN. Finally, PRONGHORN's algorithmic capability is demonstrated on a number of PBR test cases.

  13. Invariant patterns in crystal lattices: Implications for protein folding algorithms

    SciTech Connect (OSTI)

    HART,WILLIAM E.; ISTRAIL,SORIN

    2000-06-01

    Crystal lattices are infinite periodic graphs that occur naturally in a variety of geometries and which are of fundamental importance in polymer science. Discrete models of protein folding use crystal lattices to define the space of protein conformations. Because various crystal lattices provide discretizations of the same physical phenomenon, it is reasonable to expect that there will exist invariants across lattices related to fundamental properties of the protein folding process. This paper considers whether performance-guaranteed approximability is such an invariant for HP lattice models. The authors define a master approximation algorithm that has provable performance guarantees provided that a specific sublattice exists within a given lattice. They describe a broad class of crystal lattices that are approximable, which further suggests that approximability is a general property of HP lattice models.

  14. Resistive Network Optimal Power Flow: Uniqueness and Algorithms

    SciTech Connect (OSTI)

    Tan, CW; Cai, DWH; Lou, X

    2015-01-01

    The optimal power flow (OPF) problem minimizes the power loss in an electrical network by optimizing the voltage and power delivered at the network buses, and is a nonconvex problem that is generally hard to solve. By leveraging a recent development on the zero duality gap of OPF, we propose a second-order cone programming convex relaxation of the resistive network OPF, and study the uniqueness of the optimal solution using differential topology, especially the Poincare-Hopf Index Theorem. We characterize the global uniqueness for different network topologies, e.g., line, radial, and mesh networks. This serves as a starting point to design distributed local algorithms with global behaviors that have low complexity, are computationally fast, and can run under synchronous and asynchronous settings in practical power grids.

  15. An overview of SuperLU: Algorithms, implementation, and userinterface

    SciTech Connect (OSTI)

    Li, Xiaoye S.

    2003-09-30

    We give an overview of the algorithms, design philosophy,and implementation techniques in the software SuperLU, for solving sparseunsymmetric linear systems. In particular, we highlight the differencesbetween the sequential SuperLU (including its multithreaded extension)and parallel SuperLU_DIST. These include the numerical pivoting strategy,the ordering strategy for preserving sparsity, the ordering in which theupdating tasks are performed, the numerical kernel, and theparallelization strategy. Because of the scalability concern, theparallel code is drastically different from the sequential one. Wedescribe the user interfaces ofthe libraries, and illustrate how to usethe libraries most efficiently depending on some matrix characteristics.Finally, we give some examples of how the solver has been used inlarge-scale scientific applications, and the performance.

  16. ARM: ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Karen Johnson; Michael Jensen

    ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  17. ARM: ARSCL: cloud boundaries from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Karen Johnson; Michael Jensen

    ARSCL: cloud boundaries from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  18. ARM: 10-minute TEMPORARY Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Sivaraman, Chitra; Flynn, Connor

    10-minute TEMPORARY Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

  19. ARM: 10-minute TEMPORARY Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Sivaraman, Chitra; Flynn, Connor

    10-minute TEMPORARY Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  20. ARM: ARSCL: cloud boundaries from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

    SciTech Connect (OSTI)

    Karen Johnson; Michael Jensen

    1996-11-08

    ARSCL: cloud boundaries from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  1. ARM: ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

    SciTech Connect (OSTI)

    Karen Johnson; Michael Jensen

    1996-11-08

    ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  2. ARM: 10-minute TEMPORARY Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Sivaraman, Chitra; Flynn, Connor

    2010-12-15

    10-minute TEMPORARY Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  3. ARM: 10-minute TEMPORARY Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Sivaraman, Chitra; Flynn, Connor

    2010-12-15

    10-minute TEMPORARY Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

  4. Optimized Uncertainty Quantification Algorithm Within a Dynamic Event Tree Framework

    SciTech Connect (OSTI)

    J. W. Nielsen; Akira Tokuhiro; Robert Hiromoto

    2014-06-01

    Methods for developing Phenomenological Identification and Ranking Tables (PIRT) for nuclear power plants have been a useful tool in providing insight into modelling aspects that are important to safety. These methods have involved expert knowledge with regards to reactor plant transients and thermal-hydraulic codes to identify are of highest importance. Quantified PIRT provides for rigorous method for quantifying the phenomena that can have the greatest impact. The transients that are evaluated and the timing of those events are typically developed in collaboration with the Probabilistic Risk Analysis. Though quite effective in evaluating risk, traditional PRA methods lack the capability to evaluate complex dynamic systems where end states may vary as a function of transition time from physical state to physical state . Dynamic PRA (DPRA) methods provide a more rigorous analysis of complex dynamic systems. A limitation of DPRA is its potential for state or combinatorial explosion that grows as a function of the number of components; as well as, the sampling of transition times from state-to-state of the entire system. This paper presents a method for performing QPIRT within a dynamic event tree framework such that timing events which result in the highest probabilities of failure are captured and a QPIRT is performed simultaneously while performing a discrete dynamic event tree evaluation. The resulting simulation results in a formal QPIRT for each end state. The use of dynamic event trees results in state explosion as the number of possible component states increases. This paper utilizes a branch and bound algorithm to optimize the solution of the dynamic event trees. The paper summarizes the methods used to implement the branch-and-bound algorithm in solving the discrete dynamic event trees.

  5. Update on Development of Mesh Generation Algorithms in MeshKit

    SciTech Connect (OSTI)

    Jain, Rajeev; Vanderzee, Evan; Mahadevan, Vijay

    2015-09-30

    MeshKit uses a graph-based design for coding all its meshing algorithms, which includes the Reactor Geometry (and mesh) Generation (RGG) algorithms. This report highlights the developmental updates of all the algorithms, results and future work. Parallel versions of algorithms, documentation and performance results are reported. RGG GUI design was updated to incorporate new features requested by the users; boundary layer generation and parallel RGG support were added to the GUI. Key contributions to the release, upgrade and maintenance of other SIGMA1 libraries (CGM and MOAB) were made. Several fundamental meshing algorithms for creating a robust parallel meshing pipeline in MeshKit are under development. Results and current status of automated, open-source and high quality nuclear reactor assembly mesh generation algorithms such as trimesher, quadmesher, interval matching and multi-sweeper are reported.

  6. Digital revenue metering algorithm: development, analysis, implementation, testing, and evaluation. Final report

    SciTech Connect (OSTI)

    Schweitzer III, E.O.; To, H.W.; Ando, M.

    1980-11-01

    A digital revenue metering algorithm is described. The algorithm has been tested in a microcomputer system using two 8-bit MC6800 microprocessors and 12-bit analog-to-digital converters. The tests show that the system meets the accuracy requirements of ANSI C12-1975. The algorithm demands modest computing requirements and low data sampling rates. The algorithm uses Walsh-functions and will operate with as few as 4 samples per 60-Hz cycle. For proper response to odd harmonic frequencies, higher sampling rates must be used. Third harmonic power can be handled with an 8-sample per cycle Walsh function. However, even harmonics are effectively suppressed by the algorithm. The developed algorithm is intended for use in digital data acquisition systems for substations where interchange metering is required.

  7. Stride search: A general algorithm for storm detection in high resolution climate data

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Bosler, Peter Andrew; Roesler, Erika Louise; Taylor, Mark A.; Mundt, Miranda

    2015-09-08

    This article discusses the problem of identifying extreme climate events such as intense storms within large climate data sets. The basic storm detection algorithm is reviewed, which splits the problem into two parts: a spatial search followed by a temporal correlation problem. Two specific implementations of the spatial search algorithm are compared. The commonly used grid point search algorithm is reviewed, and a new algorithm called Stride Search is introduced. Stride Search is designed to work at all latitudes, while grid point searches may fail in polar regions. Results from the two algorithms are compared for the application of tropicalmore¬†¬Ľ cyclone detection, and shown to produce similar results for the same set of storm identification criteria. The time required for both algorithms to search the same data set is compared. Furthermore, Stride Search's ability to search extreme latitudes is demonstrated for the case of polar low detection.¬ę¬†less

  8. Stride search: A general algorithm for storm detection in high resolution climate data

    SciTech Connect (OSTI)

    Bosler, Peter Andrew; Roesler, Erika Louise; Taylor, Mark A.; Mundt, Miranda

    2015-09-08

    This article discusses the problem of identifying extreme climate events such as intense storms within large climate data sets. The basic storm detection algorithm is reviewed, which splits the problem into two parts: a spatial search followed by a temporal correlation problem. Two specific implementations of the spatial search algorithm are compared. The commonly used grid point search algorithm is reviewed, and a new algorithm called Stride Search is introduced. Stride Search is designed to work at all latitudes, while grid point searches may fail in polar regions. Results from the two algorithms are compared for the application of tropical cyclone detection, and shown to produce similar results for the same set of storm identification criteria. The time required for both algorithms to search the same data set is compared. Furthermore, Stride Search's ability to search extreme latitudes is demonstrated for the case of polar low detection.

  9. GX-Means: A model-based divide and merge algorithm for geospatial image clustering

    SciTech Connect (OSTI)

    Vatsavai, Raju; Symons, Christopher T; Chandola, Varun; Jun, Goo

    2011-01-01

    One of the practical issues in clustering is the specification of the appropriate number of clusters, which is not obvious when analyzing geospatial datasets, partly because they are huge (both in size and spatial extent) and high dimensional. In this paper we present a computationally efficient model-based split and merge clustering algorithm that incrementally finds model parameters and the number of clusters. Additionally, we attempt to provide insights into this problem and other data mining challenges that are encountered when clustering geospatial data. The basic algorithm we present is similar to the G-means and X-means algorithms; however, our proposed approach avoids certain limitations of these well-known clustering algorithms that are pertinent when dealing with geospatial data. We compare the performance of our approach with the G-means and X-means algorithms. Experimental evaluation on simulated data and on multispectral and hyperspectral remotely sensed image data demonstrates the effectiveness of our algorithm.

  10. Cable Damage Detection System and Algorithms Using Time Domain Reflectometry

    SciTech Connect (OSTI)

    Clark, G A; Robbins, C L; Wade, K A; Souza, P R

    2009-03-24

    This report describes the hardware system and the set of algorithms we have developed for detecting damage in cables for the Advanced Development and Process Technologies (ADAPT) Program. This program is part of the W80 Life Extension Program (LEP). The system could be generalized for application to other systems in the future. Critical cables can undergo various types of damage (e.g. short circuits, open circuits, punctures, compression) that manifest as changes in the dielectric/impedance properties of the cables. For our specific problem, only one end of the cable is accessible, and no exemplars of actual damage are available. This work addresses the detection of dielectric/impedance anomalies in transient time domain reflectometry (TDR) measurements on the cables. The approach is to interrogate the cable using time domain reflectometry (TDR) techniques, in which a known pulse is inserted into the cable, and reflections from the cable are measured. The key operating principle is that any important cable damage will manifest itself as an electrical impedance discontinuity that can be measured in the TDR response signal. Machine learning classification algorithms are effectively eliminated from consideration, because only a small number of cables is available for testing; so a sufficient sample size is not attainable. Nonetheless, a key requirement is to achieve very high probability of detection and very low probability of false alarm. The approach is to compare TDR signals from possibly damaged cables to signals or an empirical model derived from reference cables that are known to be undamaged. This requires that the TDR signals are reasonably repeatable from test to test on the same cable, and from cable to cable. Empirical studies show that the repeatability issue is the 'long pole in the tent' for damage detection, because it is has been difficult to achieve reasonable repeatability. This one factor dominated the project. The two-step model-based approach is

  11. Efficient algorithms for mixed aleatory-epistemic uncertainty quantification with application to radiation-hardened electronics. Part I, algorithms and benchmark results.

    SciTech Connect (OSTI)

    Swiler, Laura Painton; Eldred, Michael Scott

    2009-09-01

    This report documents the results of an FY09 ASC V&V Methods level 2 milestone demonstrating new algorithmic capabilities for mixed aleatory-epistemic uncertainty quantification. Through the combination of stochastic expansions for computing aleatory statistics and interval optimization for computing epistemic bounds, mixed uncertainty analysis studies are shown to be more accurate and efficient than previously achievable. Part I of the report describes the algorithms and presents benchmark performance results. Part II applies these new algorithms to UQ analysis of radiation effects in electronic devices and circuits for the QASPR program.

  12. Coupling of ?-channeling to |k?| upshift in lower hybrid current drive

    SciTech Connect (OSTI)

    Ochs, I. E.; Bertelli, N.; Fisch, N. J.

    2014-08-26

    Although lower hybrid waves have been shown to be effective in driving plasma current in present-day tokamaks, they are predicted to strongly interact with the energetic ? particles born from fusion reactions in eventual tokamak reactors.

  13. Lower Yellowstone Intake Diversion Dam Fish Passage Project, Montana. Draft Environmental Impact Statement

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Lower Yellowstone Intake Diversion Dam Fish Passage Project, Montana DRAFT - Appendix E Monitoring and Adaptive Management i Contents 1.0 Introduction ............................................................................................................................. 1 Project Goal and Objectives ................................................................................................... 1 2.0 Rock

  14. Why Are Resiential PV Prices in Germany So Much Lower Than in the United States?

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy (DOE) SunShot Initiative, in conjunction with the Lawrence Berkeley National Laboratory (LBNL) discusses the installed price of residential PV being significantly lower in Germany than in the United States.

  15. Control of Well KS-8 in the Kilauea Lower East Rift Zone | Open...

    Open Energy Info (EERE)

    Control of Well KS-8 in the Kilauea Lower East Rift Zone Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: Control of Well KS-8 in the Kilauea...

  16. The spin state of iron in minerals of Earth's lower mantle

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Sturhahn, Wolfgang; Jackson, Jennifer M.; Lin, Jung -Fu

    2005-06-23

    Here, the spin state of Fe(II) and Fe(III) at temperatures and pressures typical for the Earth's lower mantle is discussed. We predict an extended high-spin to low-spin crossover region along the geotherm for Fe-dilute systems depending on crystal-field splitting, pairing energy, and cooperative interactions. In particular, spin transitions in ferromagnesium silicate perovskite and ferropericlase, the dominant lower mantle components, should occur in a wide temperature-pressure range. We also derive a gradual volume change associated with such transitions in the lower mantle. The gradual density changes and the wide spin crossover regions seem incompatible with lower mantle stratification resulting from amore¬†¬Ľ spin transition.¬ę¬†less

  17. Building-related risk factors and work-related lower respiratory symptoms in 80 office buildings

    SciTech Connect (OSTI)

    Mendell, M.J.; Naco, G.M.; Wilcox, T.G.; Sieber, W.K.

    2002-01-01

    We assessed building-related risk factors for lower respiratory symptoms in office workers. The National Institute for Occupational Safety and Health in 1993 collected data during indoor environmental health investigations of workplaces. We used multivariate logistic regression analyses to assess relationships between lower respiratory symptoms in office workers and risk factors plausibly related to microbiologic contamination. Among 2,435 occupants in 80 office buildings, frequent, work-related multiple lower respiratory symptoms were strongly associated, in multivariate models, with two risk factors for microbiologic contamination: poor pan drainage under cooling coils and debris in outside air intake. Associations tended to be stronger among those with a history of physician-diagnosed asthma. These findings suggest that adverse lower respiratory health effects from indoor work environments, although unusual, may occur in relation to poorly designed or maintained ventilation systems, particularly among previously diagnosed asthmatics. These findings require confirmation in more representative buildings.

  18. Heating oil and propane households bills to be lower this winter...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Heating oil and propane households bills to be lower this winter despite recent cold spell Despite the recent cold weather, households that use heating oil or propane as their main ...

  19. Higher U.S. oil production in 2013 and 2014 means lower oil imports

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Higher U.S. oil production in 2013 and 2014 means lower oil imports U.S. crude oil production topped 7 million barrels per day in November and December for the first time in 20 ...

  20. Lower Yellowstone R E A, Inc (North Dakota) | Open Energy Information

    Open Energy Info (EERE)

    Inc (North Dakota) Jump to: navigation, search Name: Lower Yellowstone R E A, Inc Place: North Dakota Phone Number: (406) 488-1602 Website: www.lyrec.com Facebook: https:...

  1. Ten Ways to Lower Perceived Risk and Finance Rates within Federal Utility Energy Service Contracts

    Broader source: Energy.gov [DOE]

    Federal agencies can use the following 10 methods during project negotiations to lower perceived project risk and finance rates to get the best value from federal utility energy service contracts (UESCs).

  2. Fast Combinatorial Algorithm for the Solution of Linearly Constrained Least Squares Problems

    DOE Patents [OSTI]

    Van Benthem, Mark H.; Keenan, Michael R.

    2008-11-11

    A fast combinatorial algorithm can significantly reduce the computational burden when solving general equality and inequality constrained least squares problems with large numbers of observation vectors. The combinatorial algorithm provides a mathematically rigorous solution and operates at great speed by reorganizing the calculations to take advantage of the combinatorial nature of the problems to be solved. The combinatorial algorithm exploits the structure that exists in large-scale problems in order to minimize the number of arithmetic operations required to obtain a solution.

  3. An algorithm for determining EF coils from fixed-boundary equilibria applied to ARIES III

    SciTech Connect (OSTI)

    Bathke, C. ); Jardin, S.C.; Kessel, C.E. . Plasma Physics Lab.)

    1991-01-01

    An algorithm that determines the external EF coils required to produce equilibria calculated by high-resolution, fixed-boundary codes is described. The algorithm permits the specification of the poloidal-field-null location. The EF-coil positions on a specified surface located just outside of the TF coils are optimized to minimize the stored magnetic energy. Results of the application of this algorithm to ARIES-3 are also presented. 7 refs., 2 figs., 2 tabs.

  4. Tracking at CDF: algorithms and experience from Run I and Run II

    SciTech Connect (OSTI)

    Snider, F.D.; /Fermilab

    2005-10-01

    The authors describe the tracking algorithms used during Run I and Run II by CDF at the Fermilab Tevatron Collider, covering the time from about 1992 through the present, and discuss the performance of the algorithms at high luminosity. By tracing the evolution of the detectors and algorithms, they reveal some of the successful strategies used by CDF to address the problems of tracking at high luminosities.

  5. Natural Gas Productive Capacity for the Lower-48 States 1985 - 2003

    U.S. Energy Information Administration (EIA) Indexed Site

    Productive Capacity for the Lower-48 States 1985 - 2003 EIA Home > Natural Gas > Natural Gas Analysis Publications Natural Gas Productive Capacity for the Lower-48 States 1985 - 2003 Printer-Friendly Version gascapdata.xls ratiodata.xls wellcountdata.xls Executive Summary This analysis examines the availability of effective productive capacity to meet the projected wellhead demand for natural gas through 2003. Effective productive capacity is defined as the maximum production available

  6. Max Tech Electric Heat Pump Water Heater with Lower GWP Halogenated

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Refrigerant | Department of Energy Max Tech Electric Heat Pump Water Heater with Lower GWP Halogenated Refrigerant Max Tech Electric Heat Pump Water Heater with Lower GWP Halogenated Refrigerant Information flow schematic for an integrated heat pump design model and wrapped tank model. Image credit: Oak Ridge National Laboratory. Information flow schematic for an integrated heat pump design model and wrapped tank model. Image credit: Oak Ridge National Laboratory. Information flow schematic

  7. Addendum: Lower Yellowstone Intake Diversion Dam Fish Passage Project, Montana - Draft Environmental Impact Statement

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Yellowstone Intake Diversion Dam Fish Passage Project, Montana Draft Environmental Impact Statement- Addendum June 2016 1 Addendum: Lower Yellowstone Intake Diversion Dam Fish Passage Project, Montana Draft Environmental Impact Statement Introduction The Corps of Engineers (Corps) and the Bureau of Reclamation (Reclamation) have prepared this addendum to the Lower Yellowstone Intake Diversion Dam Fish Passage Project Draft Environmental Impact Statement (EIS) to provide the public with the

  8. Lower Yellowstone Intake Diversion Dam Fish Passage Project, Montana. Draft Environmental Impact Statement

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Lower Yellowstone Intake Diversion Dam Fish Passage Project, Montana DRAFT - Appendix F Correspondence Lower Yellowstone Intake Diversion Dam Correspondence Fish Passage Project Appendix F Attachment 1 Correspondence Distributed DEPARTM ENT OF THE ARMY CORPS OF ENGINEERS, OMAHA DISTRICT 1616 CAPITOL AVENUE OMAHA NE 68102-4901 April 5, 2016 District Commander Mr. Lester Randall, Chairman Kickapoo Tribe in Kansas PO Box 271 1107 Goldfinch Road Horton, Kansas 66439 Dear Chairman Randall: The U.S.

  9. A Home Cooling Strategy for Lower Energy Bills | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    A Home Cooling Strategy for Lower Energy Bills A Home Cooling Strategy for Lower Energy Bills June 18, 2015 - 9:58am Addthis Proper maintenance can help keep your air conditioner running efficiently and prolong the life of the unit. | Photo courtesy of istockphoto.com/Spiderstock Proper maintenance can help keep your air conditioner running efficiently and prolong the life of the unit. | Photo courtesy of istockphoto.com/Spiderstock Allison Casey Senior Communicator, NREL What does this mean for

  10. EERE Success Story-Improving the Efficiency and Lowering the Cost of LED

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Lighting | Department of Energy Improving the Efficiency and Lowering the Cost of LED Lighting EERE Success Story-Improving the Efficiency and Lowering the Cost of LED Lighting July 13, 2016 - 10:30am Addthis Photo Courtesy | Lumileds Photo Courtesy | Lumileds One of the biggest initial barriers to the widespread adoption of energy-efficient light-emitting diodes (LEDs) has been the cost. While considerable progress has been made on that front, further cost reductions will result in even

  11. Spectral compression algorithms for the analysis of very large multivariate images

    DOE Patents [OSTI]

    Keenan, Michael R.

    2007-10-16

    A method for spectrally compressing data sets enables the efficient analysis of very large multivariate images. The spectral compression algorithm uses a factored representation of the data that can be obtained from Principal Components Analysis or other factorization technique. Furthermore, a block algorithm can be used for performing common operations more efficiently. An image analysis can be performed on the factored representation of the data, using only the most significant factors. The spectral compression algorithm can be combined with a spatial compression algorithm to provide further computational efficiencies.

  12. Solution Algorithms for Effective-Field Models of Multi-Fluid...

    Office of Scientific and Technical Information (OSTI)

    Citation Details In-Document Search Title: Solution Algorithms for Effective-Field Models of Multi-Fluid Flows Authors: Robert Nourgaliev ; Mark Christon Publication Date: ...

  13. Workshop on algorithms for macromolecular modeling. Final project report, June 1, 1994--May 31, 1995

    SciTech Connect (OSTI)

    Leimkuhler, B.; Hermans, J.; Skeel, R.D.

    1995-07-01

    A workshop was held on algorithms and parallel implementations for macromolecular dynamics, protein folding, and structural refinement. This document contains abstracts and brief reports from that workshop.

  14. Algorithm for Accounting for the Interactions of Multiple Renewable Energy Technologies in Estimation of Annual Performance

    Energy Science and Technology Software Center (OSTI)

    2007-12-31

    The algorithm accounts for interactions between technologies in determining the annual energy performance of multiple renewable energy technologies at a subject site.

  15. Algorithms and tools for high-throughput geometry-based analysis...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Algorithms and tools for high-throughput geometry-based analysis of crystalline porous materials Previous Next List Thomas F. Willems, Chris H. Rycroft, Michaeel Kazi, Juan C....

  16. DTRA Algorithm Prize (Seventh Annual Sequencing, Finishing, Analysis in the Future (SFAF) Meeting 2012)

    ScienceCinema (OSTI)

    Whitechurch, Christian [Defense Threat Reduction Agency

    2013-02-12

    Christian Whitchurch on the "DTRA Algorithm Prize" at the 2012 Sequencing, Finishing, Analysis in the Future Meeting held June 5-7, 2012 in Santa Fe, New Mexico.

  17. Spatial compression algorithm for the analysis of very large multivariate images

    DOE Patents [OSTI]

    Keenan, Michael R.

    2008-07-15

    A method for spatially compressing data sets enables the efficient analysis of very large multivariate images. The spatial compression algorithms use a wavelet transformation to map an image into a compressed image containing a smaller number of pixels that retain the original image's information content. Image analysis can then be performed on a compressed data matrix consisting of a reduced number of significant wavelet coefficients. Furthermore, a block algorithm can be used for performing common operations more efficiently. The spatial compression algorithms can be combined with spectral compression algorithms to provide further computational efficiencies.

  18. Algorithms and tools for high-throughput geometry-based analysis...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: Algorithms and tools for high-throughput geometry-based analysis of crystalline porous materials ... Research Org: Energy Frontier Research Centers (EFRC); ...

  19. Imaging spectroscopy algorithms for mapping canopy foliar chemical and morphological traits and their uncertainties

    SciTech Connect (OSTI)

    Singh, Aditya; Serbin, Shawn P.; McNeil, Brenden E.; Kingdon, Clayton C.; Townsend, Philip A.

    2015-12-01

    A major goal of remote sensing is the development of generalizable algorithms to repeatedly and accurately map ecosystem properties across space and time. Imaging spectroscopy has great potential to map vegetation traits that cannot be retrieved from broadband spectral data, but rarely have such methods been tested across broad regions. Here we illustrate a general approach for estimating key foliar chemical and morphological traits through space and time using NASA's Airborne Visible/Infrared Imaging Spectrometer (AVIRIS-Classic). We apply partial least squares regression (PLSR) to data from 237 field plots within 51 images acquired between 2008 and 2011. Using a series of 500 randomized 50/50 subsets of the original data, we generated spatially explicit maps of seven traits (leaf mass per area (Marea), percentage nitrogen, carbon, fiber, lignin, and cellulose, and isotopic nitrogen concentration, őī15N) as well as pixel-wise uncertainties in their estimates based on error propagation in the analytical methods. Both Marea and %N PLSR models had a R2 > 0.85. Root mean square errors (RMSEs) for both variables were less than 9% of the range of data. Fiber and lignin were predicted with R2 > 0.65 and carbon and cellulose with R2 > 0.45. Although R2 of %C and cellulose were lower than Marea and %N, the measured variability of these constituents (especially %C) was also lower, and their RMSE values were beneath 12% of the range in overall variability. Model performance for őī15N was the lowest (R2 = 0.48, RMSE = 0.95‚Äį), but within 15% of the observed range. The resulting maps of chemical and morphological traits, together with their overall uncertainties, represent a first-of-its-kind approach for examining the spatiotemporal patterns of forest functioning and nutrient cycling across a broad range of temperate and sub-boreal ecosystems. These results offer an alternative to

  20. Imaging spectroscopy algorithms for mapping canopy foliar chemical and morphological traits and their uncertainties

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Singh, Aditya; Serbin, Shawn P.; McNeil, Brenden E.; Kingdon, Clayton C.; Townsend, Philip A.

    2015-12-01

    A major goal of remote sensing is the development of generalizable algorithms to repeatedly and accurately map ecosystem properties across space and time. Imaging spectroscopy has great potential to map vegetation traits that cannot be retrieved from broadband spectral data, but rarely have such methods been tested across broad regions. Here we illustrate a general approach for estimating key foliar chemical and morphological traits through space and time using NASA's Airborne Visible/Infrared Imaging Spectrometer (AVIRIS-Classic). We apply partial least squares regression (PLSR) to data from 237 field plots within 51 images acquired between 2008 and 2011. Using a series ofmore¬†¬Ľ 500 randomized 50/50 subsets of the original data, we generated spatially explicit maps of seven traits (leaf mass per area (Marea), percentage nitrogen, carbon, fiber, lignin, and cellulose, and isotopic nitrogen concentration, őī15N) as well as pixel-wise uncertainties in their estimates based on error propagation in the analytical methods. Both Marea and %N PLSR models had a R2 > 0.85. Root mean square errors (RMSEs) for both variables were less than 9% of the range of data. Fiber and lignin were predicted with R2 > 0.65 and carbon and cellulose with R2 > 0.45. Although R2 of %C and cellulose were lower than Marea and %N, the measured variability of these constituents (especially %C) was also lower, and their RMSE values were beneath 12% of the range in overall variability. Model performance for őī15N was the lowest (R2 = 0.48, RMSE = 0.95‚Äį), but within 15% of the observed range. The resulting maps of chemical and morphological traits, together with their overall uncertainties, represent a first-of-its-kind approach for examining the spatiotemporal patterns of forest functioning and nutrient cycling across a broad range of temperate and sub-boreal ecosystems. These results offer an alternative to categorical maps of functional or physiognomic types by providing non-discrete maps (i

  1. Elasticity of ferropericlase across the spin crossover in the Earth’s lower mantle

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Yang, Jing; Tong, Xinyue; Lin, Jung-Fu; Okuchi, Takuo; Tomioka, Naotaka

    2015-12-01

    Knowing the elasticity of ferropericlase across the spin transition can help explain seismic and mineralogical models of the lower-mantle including the origin of seismic heterogeneities in the middle to lowermost parts of the lower mantle1‚Äď4. However, the effects of spin transition on full elastic constants of ferropericlase remain experimentally controversial due to technical challenges in directly measuring sound velocities under lower-mantle conditions1‚Äď5. Here we have reliably measured both VP and VS of a single-crystal ferropericlase ((Mg0.92,Fe0.08)O) using complementary Brillouin Light Scattering and Impulsive Stimulated Light Scattering coupled with a diamond anvil cell up to 96 GPa. The derived elastic constantsmore¬†¬Ľ show drastically softened C11 and C12 within the spin transition at 40‚Äď60 GPa while C44 is not affected. The spin transition is associated with a significant reduction of the aggregate VP/VS via the aggregate VP softening because VS softening does not visibly occur within the transition. Based on thermoelastic modelling along an expected geotherm, the spin crossover in ferropericlase can contribute to 2% reduction in VP/VS in a pyrolite mineralogical model in mid lower-mantle. Our results indicate that the middle to lowermost parts of the lower-mantle would exhibit enhanced seismic heterogeneities due to the occurrence of the mixed-spin and low-spin ferropericlase.¬ę¬†less

  2. Support Vector Machine algorithm for regression and classification

    Energy Science and Technology Software Center (OSTI)

    2001-08-01

    The software is an implementation of the Support Vector Machine (SVM) algorithm that was invented and developed by Vladimir Vapnik and his co-workers at AT&T Bell Laboratories. The specific implementation reported here is an Active Set method for solving a quadratic optimization problem that forms the major part of any SVM program. The implementation is tuned to specific constraints generated in the SVM learning. Thus, it is more efficient than general-purpose quadratic optimization programs. Amore¬†¬Ľ decomposition method has been implemented in the software that enables processing large data sets. The size of the learning data is virtually unlimited by the capacity of the computer physical memory. The software is flexible and extensible. Two upper bounds are implemented to regulate the SVM learning for classification, which allow users to adjust the false positive and false negative rates. The software can be used either as a standalone, general-purpose SVM regression or classification program, or be embedded into a larger software system.¬ę¬†less

  3. Effective and efficient optics inspection approach using machine learning algorithms

    SciTech Connect (OSTI)

    Abdulla, G; Kegelmeyer, L; Liao, Z; Carr, W

    2010-11-02

    The Final Optics Damage Inspection (FODI) system automatically acquires and utilizes the Optics Inspection (OI) system to analyze images of the final optics at the National Ignition Facility (NIF). During each inspection cycle up to 1000 images acquired by FODI are examined by OI to identify and track damage sites on the optics. The process of tracking growing damage sites on the surface of an optic can be made more effective by identifying and removing signals associated with debris or reflections. The manual process to filter these false sites is daunting and time consuming. In this paper we discuss the use of machine learning tools and data mining techniques to help with this task. We describe the process to prepare a data set that can be used for training and identifying hardware reflections in the image data. In order to collect training data, the images are first automatically acquired and analyzed with existing software and then relevant features such as spatial, physical and luminosity measures are extracted for each site. A subset of these sites is 'truthed' or manually assigned a class to create training data. A supervised classification algorithm is used to test if the features can predict the class membership of new sites. A suite of self-configuring machine learning tools called 'Avatar Tools' is applied to classify all sites. To verify, we used 10-fold cross correlation and found the accuracy was above 99%. This substantially reduces the number of false alarms that would otherwise be sent for more extensive investigation.

  4. A constrained conjugate gradient algorithm for computed tomography

    SciTech Connect (OSTI)

    Azevedo, S.G.; Goodman, D.M.

    1994-11-15

    Image reconstruction from projections of x-ray, gamma-ray, protons and other penetrating radiation is a well-known problem in a variety of fields, and is commonly referred to as computed tomography (CT). Various analytical and series expansion methods of reconstruction and been used in the past to provide three-dimensional (3D) views of some interior quantity. The difficulties of these approaches lie in the cases where (a) the number of views attainable is limited, (b) the Poisson (or other) uncertainties are significant, (c) quantifiable knowledge of the object is available, but not implementable, or (d) other limitations of the data exist. We have adapted a novel nonlinear optimization procedure developed at LLNL to address limited-data image reconstruction problems. The technique, known as nonlinear least squares with general constraints or constrained conjugate gradients (CCG), has been successfully applied to a number of signal and image processing problems, and is now of great interest to the image reconstruction community. Previous applications of this algorithm to deconvolution problems and x-ray diffraction images for crystallography have shown the great promise.

  5. Optimizing SRF Gun Cavity Profiles in a Genetic Algorithm Framework

    SciTech Connect (OSTI)

    Alicia Hofler, Pavel Evtushenko, Frank Marhauser

    2009-09-01

    Automation of DC photoinjector designs using a genetic algorithm (GA) based optimization is an accepted practice in accelerator physics. Allowing the gun cavity field profile shape to be varied can extend the utility of this optimization methodology to superconducting and normal conducting radio frequency (SRF/RF) gun based injectors. Finding optimal field and cavity geometry configurations can provide guidance for cavity design choices and verify existing designs. We have considered two approaches for varying the electric field profile. The first is to determine the optimal field profile shape that should be used independent of the cavity geometry, and the other is to vary the geometry of the gun cavity structure to produce an optimal field profile. The first method can provide a theoretical optimal and can illuminate where possible gains can be made in field shaping. The second method can produce more realistically achievable designs that can be compared to existing designs. In this paper, we discuss the design and implementation for these two methods for generating field profiles for SRF/RF guns in a GA based injector optimization scheme and provide preliminary results.

  6. Linac Alignment Algorithm: Analysis on 1-to-1 Steering

    SciTech Connect (OSTI)

    Sun, Yipeng; Adolphsen, Chris; /SLAC

    2011-08-19

    In a linear accelerator, it is important to achieve a good alignment between all of its components (such as quadrupoles, RF cavities, beam position monitors et al.), in order to better preserve the beam quality during acceleration. After the survey of the main linac components, there are several beam-based alignment (BBA) techniques to be applied, to further optimize the beam trajectory and calculate the corresponding steering magnets strength. Among these techniques the most simple and straightforward one is the one-to-one (1-to-1) steering technique, which steers the beam from quad center to center, and removes the betatron oscillation from quad focusing. For a future linear collider such as the International Linear Collider (ILC), the initial beam emittance is very small in the vertical plane (flat beam with {gamma}{epsilon}{sub y} = 20-40nm), which means the alignment requirement is very tight. In this note, we evaluate the emittance growth with one-to-one correction algorithm employed, both analytically and numerically. Then the ILC main linac accelerator is taken as an example to compare the vertical emittance growth after 1-to-1 steering, both from analytical formulae and multi-particle tracking simulation. It is demonstrated that the estimated emittance growth from the derived formulae agrees well with the results from numerical simulation, with and without acceleration, respectively.

  7. Toward Developing Genetic Algorithms to Aid in Critical Infrastructure Modeling

    SciTech Connect (OSTI)

    Not Available

    2007-05-01

    Todayís society relies upon an array of complex national and international infrastructure networks such as transportation, telecommunication, financial and energy. Understanding these interdependencies is necessary in order to protect our critical infrastructure. The Critical Infrastructure Modeling System, CIMS©, examines the interrelationships between infrastructure networks. CIMS© development is sponsored by the National Security Division at the Idaho National Laboratory (INL) in its ongoing mission for providing critical infrastructure protection and preparedness. A genetic algorithm (GA) is an optimization technique based on Darwinís theory of evolution. A GA can be coupled with CIMS© to search for optimum ways to protect infrastructure assets. This includes identifying optimum assets to enforce or protect, testing the addition of or change to infrastructure before implementation, or finding the optimum response to an emergency for response planning. This paper describes the addition of a GA to infrastructure modeling for infrastructure planning. It first introduces the CIMS© infrastructure modeling software used as the modeling engine to support the GA. Next, the GA techniques and parameters are defined. Then a test scenario illustrates the integration with CIMS© and the preliminary results.

  8. Basics of Polar-Format algorithm for processing Synthetic Aperture Radar images.

    SciTech Connect (OSTI)

    Doerry, Armin Walter

    2012-05-01

    The purpose of this report is to provide a background to Synthetic Aperture Radar (SAR) image formation using the Polar Format (PFA) processing algorithm. This is meant to be an aid to those tasked to implement real-time image formation using the Polar Format processing algorithm.

  9. On Parallel Push-Relabel based Algorithms for Bipartite Maximum Matching

    SciTech Connect (OSTI)

    Langguth, Johannes; Azad, Md Ariful; Halappanavar, Mahantesh; Manne, Fredrik

    2014-07-01

    We study multithreaded push-relabel based algorithms for computing maximum cardinality matching in bipartite graphs. Matching is a fundamental combinatorial (graph) problem with applications in a wide variety of problems in science and engineering. We are motivated by its use in the context of sparse linear solvers for computing maximum transversal of a matrix. We implement and test our algorithms on several multi-socket multicore systems and compare their performance to state-of-the-art augmenting path-based serial and parallel algorithms using a testset comprised of a wide range of real-world instances. Building on several heuristics for enhancing performance, we demonstrate good scaling for the parallel push-relabel algorithm. We show that it is comparable to the best augmenting path-based algorithms for bipartite matching. To the best of our knowledge, this is the first extensive study of multithreaded push-relabel based algorithms. In addition to a direct impact on the applications using matching, the proposed algorithmic techniques can be extended to preflow-push based algorithms for computing maximum flow in graphs.

  10. Experimental Results in the Comparison of Search Algorithms Used with Room Temperature Detectors

    SciTech Connect (OSTI)

    Guss, P., Yuan, D., Cutler, M., Beller, D.

    2010-11-01

    Analysis of time sequence data was run for several higher resolution scintillation detectors using a variety of search algorithms, and results were obtained in predicting the relative performance for these detectors, which included a slightly superior performance by CeBr{sub 3}. Analysis of several search algorithms shows that inclusion of the RSPRT methodology can improve sensitivity.

  11. Lower Rio Grande Valley transboundary air pollution project (TAPP). Project report 1996--1997

    SciTech Connect (OSTI)

    Mukerjee, S.; Shadwick, D.S.; Dean, K.E.; Carmichael, L.Y.; Bowser, J.J.

    1999-04-01

    The Lower Rio Grande Valley Transboundary Air Pollution Project (TAPP) was a US-Mexico Border XXI project to find out if air pollutants were moving across the border from Mexico into the Lower Rio Grande Valley of Texas and to see what levels of air pollutants were present. Ambient measurements and meteorology were collected data for a year (March 1996-March 1997) at three fixed sites in and near Brownsville, Texas very close to the US-Mexico border on a continuous and 24-h internal basis. Overall levels of air pollution were similar to or lower than other areas in Texas and elsewhere. Based on wind sector analyses, transport of air pollution across the border did not appear to adversely impact air quality on the US side of the Valley. Southeasterly winds from the Gulf of Mexico were largely responsible for the clean air conditions.

  12. Integrity evaluation of lower thermal shield under exposure to HFBR environment

    SciTech Connect (OSTI)

    Kassir, M.; Weeks, J.; Bandyopadhyay, K.; Shewmon, P.

    1998-01-01

    The effects of exposure to the HFBR environment on the carbon steel in the HFBR lower thermal shield were evaluated. Corrosion was found to be a non-significant degradation process. Radiation embrittlement has occurred; portions of the plate closest to the reactor are currently operating in the lower-shelf region of the Charpy impact curve (i.e., below the fracture toughness transition temperature). In this region, the effects of radiation on the mechanical properties of carbon steel are believed to have been saturated, so that no further deterioration is anticipated. A fracture toughness analysis shows that a large factor of safety (> 1.5) exists against propagation of credible hypothetical flaws. Therefore, the existing lower thermal shield structure is suitable for continued operation of the HFBR.

  13. Modeling node bandwidth limits and their effects on vector combining algorithms

    SciTech Connect (OSTI)

    Littlefield, R.J.

    1992-01-13

    Each node in a message-passing multicomputer typically has several communication links. However, the maximum aggregate communication speed of a node is often less than the sum of its individual link speeds. Such computers are called node bandwidth limited (NBL). The NBL constraint is important when choosing algorithms because it can change the relative performance of different algorithms that accomplish the same task. This paper introduces a model of communication performance for NBL computers and uses the model to analyze the overall performance of three algorithms for vector combining (global sum) on the Intel Touchstone DELTA computer. Each of the three algorithms is found to be at least 33% faster than the other two for some combinations of machine size and vector length. The NBL constraint is shown to significantly affect the conditions under which each algorithm is fastest.

  14. Penetrator reliability investigation and design exploration : from conventional design processes to innovative uncertainty-capturing algorithms.

    SciTech Connect (OSTI)

    Martinez-Canales, Monica L.; Heaphy, Robert; Gramacy, Robert B.; Taddy, Matt; Chiesa, Michael L.; Thomas, Stephen W.; Swiler, Laura Painton; Hough, Patricia Diane; Lee, Herbert K. H.; Trucano, Timothy Guy; Gray, Genetha Anne

    2006-11-01

    This project focused on research and algorithmic development in optimization under uncertainty (OUU) problems driven by earth penetrator (EP) designs. While taking into account uncertainty, we addressed three challenges in current simulation-based engineering design and analysis processes. The first challenge required leveraging small local samples, already constructed by optimization algorithms, to build effective surrogate models. We used Gaussian Process (GP) models to construct these surrogates. We developed two OUU algorithms using 'local' GPs (OUU-LGP) and one OUU algorithm using 'global' GPs (OUU-GGP) that appear competitive or better than current methods. The second challenge was to develop a methodical design process based on multi-resolution, multi-fidelity models. We developed a Multi-Fidelity Bayesian Auto-regressive process (MF-BAP). The third challenge involved the development of tools that are computational feasible and accessible. We created MATLAB{reg_sign} and initial DAKOTA implementations of our algorithms.

  15. ASYMPTOTICALLY OPTIMAL HIGH-ORDER ACCURATE ALGORITHMS FOR THE SOLUTION OF CERTAIN ELLIPTIC PDEs

    SciTech Connect (OSTI)

    Leonid Kunyansky, PhD

    2008-11-26

    The main goal of the project, "Asymptotically Optimal, High-Order Accurate Algorithms for the Solution of Certain Elliptic PDE's" (DE-FG02-03ER25577) was to develop fast, high-order algorithms for the solution of scattering problems and spectral problems of photonic crystals theory. The results we obtained lie in three areas: (1) asymptotically fast, high-order algorithms for the solution of eigenvalue problems of photonics, (2) fast, high-order algorithms for the solution of acoustic and electromagnetic scattering problems in the inhomogeneous media, and (3) inversion formulas and fast algorithms for the inverse source problem for the acoustic wave equation, with applications to thermo- and opto- acoustic tomography.

  16. Lower-hybrid poloidal current drive for fluctuation reduction in a reversed field pinch

    SciTech Connect (OSTI)

    Uchimoto, E.; Cekic, M.; Harvey, R.W.; Litwin, C.; Prager, S.C.; Sarff, J.S.; Sovinec, C.R.

    1994-06-01

    Current drive using the lower-hybrid slow wave is shown to be a promising candidate for improving confinement properties of a reversed field pinch (RFP). Ray-tracing calculations indicate that the wave will make a few poloidal turns while spiraling radially into a target zone inside the reversal layer. The poloidal antenna wavelength of the lower hybrid wave can be chosen so that efficient parallel current drive will occur mostly in the poloidal direction in this outer region. Three-dimensional resistive magnetohydrodynamic (MHD) computation demonstrates that an additive poloidal current in this region will reduce the magnetic fluctuations and magnetic stochasticity.

  17. Innovative Solar Panel Maker Scales Up, Lowering Costs while Creating Jobs

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    | Department of Energy Solar Panel Maker Scales Up, Lowering Costs while Creating Jobs Innovative Solar Panel Maker Scales Up, Lowering Costs while Creating Jobs May 16, 2011 - 12:41pm Addthis The end of Abound Solar√ʬĬôs PV manufacturing line | Photo Courtesy of Abound Solar The end of Abound Solar's PV manufacturing line | Photo Courtesy of Abound Solar Minh Le Minh Le Deputy Director, Solar Energy Technologies Office It's one thing to call solar energy a "growth industry,"

  18. Process for the conversion of lower alcohols to higher branched oxygenates

    DOE Patents [OSTI]

    Barger, P.T.

    1996-09-24

    A process is provided for the production of branched C{sub x} oxygenates from lower alcohols such as methanol, ethanol, propanol and mixtures thereof. The process comprises contacting the lower alcohols with a solid catalyst comprising a mixed metal oxide support having components selected from the group consisting of oxides of zinc, magnesium, zirconia, titanium, manganese, chromium, and lanthanides, and an activation metal selected from the group consisting of Group VIII metal, Group IB metals, and mixtures thereof. The advantage of the process is improved yields and selectivity to isobutanol which can subsequently be employed in the production of high octane motor gasoline.

  19. Lower and upper estimates on the excitation threshold for breathers in discrete nonlinear Schroedinger lattices

    SciTech Connect (OSTI)

    Cuevas, J.; Palmero, F.

    2009-11-15

    We propose analytical lower and upper estimates on the excitation threshold for breathers (in the form of spatially localized and time periodic solutions) in discrete nonlinear Schroedinger (DNLS) lattices with power nonlinearity. The estimation, depending explicitly on the lattice parameters, is derived by a combination of a comparison argument on appropriate lower bounds depending on the frequency of each solution with a simple and justified heuristic argument. The numerical studies verify that the analytical estimates can be of particular usefulness, as a simple analytical detection of the activation energy for breathers in DNLS lattices.

  20. EERE Success Story-New Jersey: EERE-Supported Technology Lowers GHG

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Emissions 70%, Wins R&D 100 Award | Department of Energy EERE-Supported Technology Lowers GHG Emissions 70%, Wins R&D 100 Award EERE Success Story-New Jersey: EERE-Supported Technology Lowers GHG Emissions 70%, Wins R&D 100 Award August 21, 2013 - 12:52pm Addthis In partnership with Rutgers University and partially funded by EERE, Solidia Technologies¬ģ, a cement and concrete technology company, developed a strong and durable concrete that costs less and uses less time, energy,