Sample records for inform input assumptions

  1. Blind Channel Estimation in OFDM Systems by Relying on the Gaussian Assumption of the Input

    E-Print Network [OSTI]

    Quadeer, Ahmed Abdul

    Blind Channel Estimation in OFDM Systems by Relying on the Gaussian Assumption of the Input T. Y methods rely on some form of training which reduces the useful data rate. Here instead we blindly estimate maxima of the ML objective function. One is the blind Genetic algorithm and the other is the semi-blind

  2. US Nuclear Regulatory Commission Input to DOE Request for Information...

    Energy Savers [EERE]

    US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart...

  3. Residential sector end-use forecasting with EPRI-Reeps 2.1: Summary input assumptions and results

    SciTech Connect (OSTI)

    Koomey, J.G.; Brown, R.E.; Richey, R. [and others

    1995-12-01T23:59:59.000Z

    This paper describes current and projected future energy use by end-use and fuel for the U.S. residential sector, and assesses which end-uses are growing most rapidly over time. The inputs to this forecast are based on a multi-year data compilation effort funded by the U.S. Department of Energy. We use the Electric Power Research Institute`s (EPRI`s) REEPS model, as reconfigured to reflect the latest end-use technology data. Residential primary energy use is expected to grow 0.3% per year between 1995 and 2010, while electricity demand is projected to grow at about 0.7% per year over this period. The number of households is expected to grow at about 0.8% per year, which implies that the overall primary energy intensity per household of the residential sector is declining, and the electricity intensity per household is remaining roughly constant over the forecast period. These relatively low growth rates are dependent on the assumed growth rate for miscellaneous electricity, which is the single largest contributor to demand growth in many recent forecasts.

  4. An Assumption for the Development of Bootstrap Variants of the Akaike Information Criterion in Mixed Models

    E-Print Network [OSTI]

    Shang, Junfeng

    in Mixed Models Junfeng Shang 1, and Joseph E. Cavanaugh 2, 1 Bowling Green State University, USA 2 of Mathematics and Statistics, 450 Math Science Building, Bowling Green State University, Bowling Green, OH 43403 The University of Iowa, USA Abstract: This note provides a proof of a fundamental assumption in the verification

  5. Assumptions to the Annual Energy Outlook 2013

    Gasoline and Diesel Fuel Update (EIA)

    assumptions regarding technically recoverable oil resources. Inputs to these resource estimates include the USGS World Petroleum Assessment of 2000 and oil reserves...

  6. Key Assumptions Policy Issues

    E-Print Network [OSTI]

    Supply Limitations 8 Withi h B l i8. Within-hour Balancing 9. Capacity and Energy Values for Wind · Independent Power Producers C t ti· Current assumptions · Winter: full availability ~ 3,200 MW · Summer: 1 t b it d d li d· Thermal: must be sited and licensed · Wind/solar: must be sited and licensed · EE

  7. NGNP: High Temperature Gas-Cooled Reactor Key Definitions, Plant Capabilities, and Assumptions

    SciTech Connect (OSTI)

    Phillip Mills

    2012-02-01T23:59:59.000Z

    This document is intended to provide a Next Generation Nuclear Plant (NGNP) Project tool in which to collect and identify key definitions, plant capabilities, and inputs and assumptions to be used in ongoing efforts related to the licensing and deployment of a high temperature gas-cooled reactor (HTGR). These definitions, capabilities, and assumptions are extracted from a number of sources, including NGNP Project documents such as licensing related white papers [References 1-11] and previously issued requirement documents [References 13-15]. Also included is information agreed upon by the NGNP Regulatory Affairs group's Licensing Working Group and Configuration Council. The NGNP Project approach to licensing an HTGR plant via a combined license (COL) is defined within the referenced white papers and reference [12], and is not duplicated here.

  8. NIST Seeks Input for Planned 2011 Update of Security Control Catalog For Federal Information Systems and Organizations

    E-Print Network [OSTI]

    ; · Supply chain security; · Industrial/process control systems; and · Privacy. NIST SP 80053, Revision 3 Publication 80053, Recommended Security Controls for Federal Information Systems and Organizations webbased access to the security controls for federal information systems and organizations

  9. MONITORED GEOLOGIC REPOSITORY LIFE CYCLE COST ESTIMATE ASSUMPTIONS DOCUMENT

    SciTech Connect (OSTI)

    R.E. Sweeney

    2001-02-08T23:59:59.000Z

    The purpose of this assumptions document is to provide general scope, strategy, technical basis, schedule and cost assumptions for the Monitored Geologic Repository (MGR) life cycle cost (LCC) estimate and schedule update incorporating information from the Viability Assessment (VA) , License Application Design Selection (LADS), 1999 Update to the Total System Life Cycle Cost (TSLCC) estimate and from other related and updated information. This document is intended to generally follow the assumptions outlined in the previous MGR cost estimates and as further prescribed by DOE guidance.

  10. Effects of internal gain assumptions in building energy calculations

    SciTech Connect (OSTI)

    Christensen, C.; Perkins, R.

    1981-01-01T23:59:59.000Z

    The utilization of direct solar gains in buildings can be affected by operating profiles, such as schedules for internal gains, thermostat controls, and ventilation rates. Building energy analysis methods use various assumptions about these profiles. The effects of typical internal gain assumptions in energy calculations are described. Heating and cooling loads from simulations using the DOE 2.1 computer code are compared for various internal-gain inputs: typical hourly profiles, constant average profiles, and zero gain profiles. Prototype single-family-detached and multi-family-attached residential units are studied with various levels of insulation and infiltration. Small detached commercial buildings and attached zones in large commercial buildings are studied with various levels of internal gains. The results of this study indicate that calculations of annual heating and cooling loads are sensitive to internal gains, but in most cases are relatively insensitive to hourly variations in internal gains.

  11. Cost and Performance Assumptions for Modeling Electricity Generation Technologies

    SciTech Connect (OSTI)

    Tidball, R.; Bluestein, J.; Rodriguez, N.; Knoke, S.

    2010-11-01T23:59:59.000Z

    The goal of this project was to compare and contrast utility scale power plant characteristics used in data sets that support energy market models. Characteristics include both technology cost and technology performance projections to the year 2050. Cost parameters include installed capital costs and operation and maintenance (O&M) costs. Performance parameters include plant size, heat rate, capacity factor or availability factor, and plant lifetime. Conventional, renewable, and emerging electricity generating technologies were considered. Six data sets, each associated with a different model, were selected. Two of the data sets represent modeled results, not direct model inputs. These two data sets include cost and performance improvements that result from increased deployment as well as resulting capacity factors estimated from particular model runs; other data sets represent model input data. For the technologies contained in each data set, the levelized cost of energy (LCOE) was also evaluated, according to published cost, performance, and fuel assumptions.

  12. NGNP: High Temperature Gas-Cooled Reactor Key Definitions, Plant Capabilities, and Assumptions

    SciTech Connect (OSTI)

    Wayne Moe

    2013-05-01T23:59:59.000Z

    This document provides key definitions, plant capabilities, and inputs and assumptions related to the Next Generation Nuclear Plant to be used in ongoing efforts related to the licensing and deployment of a high temperature gas-cooled reactor. These definitions, capabilities, and assumptions were extracted from a number of NGNP Project sources such as licensing related white papers, previously issued requirement documents, and preapplication interactions with the Nuclear Regulatory Commission (NRC).

  13. Optima Dock Synchronization under Different Delay Assumptions

    E-Print Network [OSTI]

    Lynch, Nancy

    Projects, National Autonomous University of Mexico (UNAM). Email: iryktvmhbitnet or anarCwatson. ibm by broadcast networks in which every message arrives to all processors at approximately the same time, message passing systems, networks, optimization, message delay assumptions, precision. Department

  14. Input Validation Errors and Defenses

    E-Print Network [OSTI]

    Sekar, R.

    = "gpg -r $send_to_list 2>&1" popen($command) · Attack: user fills in the following information-independent policies are preferable Example: SquirrelMail Command Injection Incoming Request (Untrusted input) $command="gpg popen($command) $send_to_list = $_GET[`sendto'] $command = "gpg -r $send_to_list 2>&1" Outgoing Request

  15. TART input manual

    SciTech Connect (OSTI)

    Kimlinger, J.R.; Plechaty, E.F.

    1982-04-01T23:59:59.000Z

    The TART code is a Monte Carlo neutron/photon transport code that is only on the CRAY computer. All the input cards for the TART code are listed, and definitions for all input parameters are given. The execution and limitations of the code are described, and input for two sample problems are given. (WHK)

  16. Preliminary Assumptions for Natural Gas Peaking

    E-Print Network [OSTI]

    ; adjusted to 2012$, state construction cost index, vintage of cost estimate, scope of estimate to extent's Discussion Aeroderivative Gas Turbine Technology Proposed reference plant and assumptions Preliminary cost Robbins 2 #12;Peaking Power Plant Characteristics 6th Power Plan ($2006) Unit Size (MW) Capital Cost ($/k

  17. Supply-side Resources & Planning Assumptions

    E-Print Network [OSTI]

    - station Solar PV (from 6th Plan) 25 MW dc/20 MW net ac output using flat plate non concentrating single) ­ Storage Resource assessment data needs and applications R d f t Resources proposed for assessment Forecasts ProCost 46/19/2013 #12;6/19/2013 3 Resource data & planning assumptions Reference plant (New

  18. EVA PLANNING ASSUMPTIONS LRV TRAVERSE ASSESSMENT

    E-Print Network [OSTI]

    Rathbun, Julie A.

    VALUE. #12;ASSUMPTIONS {CONT) e METABOLIC RATES · LM OVERHEAD 1050 BTU/HR · ALSEP 1050 BTU/HR · STATION 950 BTU/HR · RIDING 550 BTU/HR #12;ACTIVITY 'METABOLIC .COMPARISON 15 ACTUAL VERSUS 16 PLANNING AVERAGE METABOLIC RATE (BTU I HR) ACTIVITY 15 ACTUAL 16 PLANNING CDR LMP LM OVERHEAD 1246 1060 '1050

  19. Meats & Products Agricultural Inputs

    E-Print Network [OSTI]

    Collett Jr., Jeffrey L.

    Meats & Products Agricultural Inputs Processing Idaho B20 C C B Meats and Livestock Products Index to agriculture? Legend Overall weighted grade Weighted rank Northwest Midwest Southwest East Meats & ProductsProcessingessing Maine B11 B A A Meats & Products Agricultural Inputs Processing New York F49 F F F soductsoducts

  20. SRS Interface Input

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

    Interface Input 1. MOA's: The contractor has no MOA's in effect at the Tritium Operations (SRTO) level. 2. AIP's: The contractor has no AIP's in effect at the SRTO level. 3....

  1. Assumptions to Annual Energy Outlook - Energy Information Administrati...

    Gasoline and Diesel Fuel Update (EIA)

    the U.S. Environmental Protection Agency (EPA) in December 2011; the Cross-State Air Pollution Rule (CSAPR) 4 as finalized by the EPA in July 2011; the new fuel efficiency...

  2. Assumptions to Annual Energy Outlook - Energy Information Administrati...

    Gasoline and Diesel Fuel Update (EIA)

    Rule (CAIR), which was reinstated as binding legislation after the Cross- State Air Pollution Rule (CSAPR) 4 was vacated on August 21, 2012; updated handling of the U.S....

  3. Assumptions to Annual Energy Outlook - Energy Information Administrati...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    January STEO Annual projections to 2040 International projections All projections reports Analysis & Projections Major Topics Most popular Annual Energy Outlook related...

  4. Assumptions to Annual Energy Outlook - Energy Information Administration

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment ActivitiesAge Refining Air1,D O E / EYear Jan

  5. Assumption Parish, Louisiana: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcatAntrimArkansasAshford,Asotin County,ResourceSpain JumpLouisiana:

  6. Serial Input Output

    SciTech Connect (OSTI)

    Waite, Anthony; /SLAC

    2011-09-07T23:59:59.000Z

    Serial Input/Output (SIO) is designed to be a long term storage format of a sophistication somewhere between simple ASCII files and the techniques provided by inter alia Objectivity and Root. The former tend to be low density, information lossy (floating point numbers lose precision) and inflexible. The latter require abstract descriptions of the data with all that that implies in terms of extra complexity. The basic building blocks of SIO are streams, records and blocks. Streams provide the connections between the program and files. The user can define an arbitrary list of streams as required. A given stream must be opened for either reading or writing. SIO does not support read/write streams. If a stream is closed during the execution of a program, it can be reopened in either read or write mode to the same or a different file. Records represent a coherent grouping of data. Records consist of a collection of blocks (see next paragraph). The user can define a variety of records (headers, events, error logs, etc.) and request that any of them be written to any stream. When SIO reads a file, it first decodes the record name and if that record has been defined and unpacking has been requested for it, SIO proceeds to unpack the blocks. Blocks are user provided objects which do the real work of reading/writing the data. The user is responsible for writing the code for these blocks and for identifying these blocks to SIO at run time. To write a collection of blocks, the user must first connect them to a record. The record can then be written to a stream as described above. Note that the same block can be connected to many different records. When SIO reads a record, it scans through the blocks written and calls the corresponding block object (if it has been defined) to decode it. Undefined blocks are skipped. Each of these categories (streams, records and blocks) have some characteristics in common. Every stream, record and block has a name with the condition that each stream, record or block name must be unique in its category (i.e. all streams must have different names, but a stream can have the same name as a record). Each category is an arbitrary length list which is handled by a 'manager' and there is one manager for each category.

  7. IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 60, NO. 6, JUNE 2014 3593 Retroactive Antijamming for MISO

    E-Print Network [OSTI]

    Buehrer, R. Michael

    for MISO Broadcast Channels SaiDhiraj Amuru, Student Member, IEEE, Ravi Tandon, Member, IEEE, Richard and increased power consumption. In this paper, we consider the multiple-input single-output (MISO) broadcastF) of the MISO BC under various assumptions regarding the availability of the channel state information (CSIT

  8. Gen Inputs Settlement

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist.Newof EnergyFunding OpportunityF2015Gen-Inputs-Settlement Sign

  9. SWAT 2012 Input/Output Documentation

    E-Print Network [OSTI]

    Arnold, J.G.; Kiniry, J.R.; Srinivasan, R.; Williams, J.R.; Haney, E.B.; Neitsch, S.L.

    2013-03-04T23:59:59.000Z

    The Soil and Water Assessment Tool (SWAT) is a comprehensive model that requires a diversity of information in order to run. Novice users may feel overwhelmed by the variety and number of inputs when they first begin to use the model. This document...

  10. Assumption-Commitment Support for CSP Model Checking

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    AVoCS 2006 Assumption-Commitment Support for CSP Model Checking Nick Moffat1 Systems Assurance using CSP. In our formulation, an assumption-commitment style property of a process SYS takes the form-Guarantee, CSP, Model Checking, Compositional Reasoning 1 Introduction The principle of compositional program

  11. Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01T23:59:59.000Z

    US DOE. 1995a. Annual Energy Outlook 1995, with ProjectionsAdministration (ELA) 1995 Annual Energy Outlook (AEO); 1990of Energy's Annual Energy Outlook ( US DOE 1995a). A l l

  12. Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01T23:59:59.000Z

    End-Use Forecasting with EPRI-REEPS 2.1. Lawrence BerkeleyEnd-Use Forecasting with EPRI-REEPS 2.1. Lawrence BerkeleyPower Research Institute. EPRI Research Project Meier, Alan

  13. Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01T23:59:59.000Z

    of electric or gas water heater EFFIC Average householdfreezers, clothes dryers, water heaters, clothes washers,Freezers Refrigerators Water Heaters Dishwashers Clothes

  14. Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01T23:59:59.000Z

    Description Prices for oil, gas, electricity, liquidElectric Electric Electric Gas Oil Electric ElectricElectric Gas Electric Gas Oil Electric Electric Gas Oil

  15. RESIDENTIAL SECTOR END-USE FORECASTING WITH EPRI-REEPS 2.1: SUMMARY INPUT ASSUMPTIONS AND RESULTS

    E-Print Network [OSTI]

    of Energy. We use the Electric Power Research Institute's (EPRI's) REEPS model, as reconfigured to reflect was supported by the Assistant Secretary for Energy Efficiency and Renewable Energy, Office of Building ....................................................................................................1 2. OVERVIEW OF THE REEPS MODEL..............................................................1

  16. Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01T23:59:59.000Z

    Type Equipment Market Shares Index Heating ElecFurnace GasType Equipment Market Shares Index Heating Elec Furnace Gas

  17. Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01T23:59:59.000Z

    there are 10 primary heating technologies and two primaryThe combination of a heating technology, cooling technology,defined by a heating technology, cooling technology, and

  18. Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01T23:59:59.000Z

    Natural Gas Oil Lighting 0-1 hrs 1-2 his 2-3 hrs Usage levelNatural gas Oil Dishwasher End-Use Lighting 0-1 hrs 1-2 hrs UsageNatural gas Oil Dishwasher End-Use Lighting 0-1 hrs 1-2 hrs Usage

  19. Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01T23:59:59.000Z

    HVAC equipment as constrained by efficiency standards and marketand HVAC equipment as a result of the market; accounts foror HVAC system (by fuel type). New home market shares data

  20. Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01T23:59:59.000Z

    2010, while electricity demand is projected to grow at aboutrates. Electricity demand is projected to grow at about 0.7%

  1. Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01T23:59:59.000Z

    $/household 10e3 Site Energy Prices Electricity ElectricityAverage electricity price Average household disposableAverage price of electricity Average household disposable

  2. SWITCH-WECC Data, Assumptions, and Model Formulation

    E-Print Network [OSTI]

    Kammen, Daniel M.

    ....................................................................................... 5 1.3 Cost and Fuel Price Inputs........................................................... 20 2.7 Fuel Prices ............................................................................................................. 20 2.8 Biomass Solid Supply Curve

  3. Computational soundness for standard assumptions of formal cryptography

    E-Print Network [OSTI]

    Herzog, Jonathan, 1975-

    2004-01-01T23:59:59.000Z

    This implementation is conceptually simple, and relies only on general assumptions. Specifically, it can be thought of as a 'self-referential' variation on a well-known encryption scheme. 4. Lastly, we show how the ...

  4. Input a journal Viewing Journals

    E-Print Network [OSTI]

    Sussex, University of

    Journals Contents: Input a journal Viewing Journals Deleting a journal Entering jnl into different period Problems Input a journal 1 Login to Bluqube 2 Select 3 Enter relevant Doc type To select the number of journals you will processing & the total credit value 6 Click on 7 Enter brief description 8

  5. COMPARING ALASKA'S OIL PRODUCTION TAXES: INCENTIVES AND ASSUMPTIONS1

    E-Print Network [OSTI]

    Pantaleone, Jim

    context of Alaska oil production taxes, comparing MAPA and ACES to the original petroleum profits tax (PPT1 COMPARING ALASKA'S OIL PRODUCTION TAXES: INCENTIVES AND ASSUMPTIONS1 Matthew Berman In a recent analysis comparing the current oil production tax, More Alaska Production Act (MAPA, also known as SB 21

  6. This report includes an analysis of the comments received through the NIH Request for Information (RFI): Input on Diversity in the Biomedical Research Workforce (NOT-OD-12-031)

    E-Print Network [OSTI]

    (RFI): Input on Diversity in the Biomedical Research Workforce (NOT-OD-12-031) INTELLIGENT PROJECT Research Workforce" (NOT-OD-12-031).2 Ripple Effect Communications, Inc. was contracted to provide third. The final coding scheme consisted of the two 1 http://acd.od.nih.gov/dbr.htm 2 http://grants.nih.gov/grants/guide/notice-files/NOT-OD

  7. Charged-Particle Thermonuclear Reaction Rates: III. Nuclear Physics Input

    E-Print Network [OSTI]

    Christian Iliadis; Richard Longland; Art Champagne; Alain Coc

    2010-04-23T23:59:59.000Z

    The nuclear physics input used to compute the Monte Carlo reaction rates and probability density functions that are tabulated in the second paper of this series (Paper II) is presented. Specifically, we publish the input files to the Monte Carlo reaction rate code RatesMC, which is based on the formalism presented in the first paper of this series (Paper I). This data base contains overwhelmingly experimental nuclear physics information. The survey of literature for this review was concluded in November 2009.

  8. Notes 01. The fundamental assumptions and equations of lubrication theory

    E-Print Network [OSTI]

    San Andres, Luis

    2009-01-01T23:59:59.000Z

    for unsteady or transient motions ? Journal angular speed (rad/s) NOTES 1. THE FUNDAMENTAL ASSUMPTIONS IN HYDRODYNAMIC LUBRICATION ? Dr. Luis San Andr?s (2009) 2 Fluid flow in a general physical domain is governed by the principles of: a) conservation... of the runner surface. For example, in journal bearings U * =?R J where ? is the journal angular speed in rad/s. Substitution of the dimensionless variables into the continuity equation (1) renders the following expression 0...

  9. Verification of energy audit assumptions: Why engineering estimates go bad

    SciTech Connect (OSTI)

    Dent, C.L.; Swanson, D.B.; Koca, R.W.; Tibbetts, B.

    1994-12-31T23:59:59.000Z

    Often, local governments do not have the resources to fully assess and implement energy efficiency measures (EEMs) even though initial payback calculations are encouraging. To address this problem, the California Energy Commission (CEC) has been operating the Energy Partnership Program (EPP) to provide technical assistance and funding to local governments for energy efficiency projects in public buildings. A government agency interested in participating in the EPP begins the process by submitting an application which is then reviewed by the CEC for energy savings potential. Selected sites are visited by the CEC, after which they may be granted a full energy audit and recommendation study by an independent energy service company (ESCO). Also, in cases where the local government does not have the capital for new equipment purchases, the CEC can provide a loan to that government which can then be repaid through the reduced utility expenditures. Since industry experience has found that, on average, actual energy savings are only 60 - 70% of engineering estimates, the CEC hired Pacific Science & Technology (PS&T) to perform end-use metering and analysis to evaluate the accuracy of the energy audit. The CEC is not only interested in evaluating the total energy savings, but also improving the accuracy of future energy audits as well. To this end, Pacific Science & Technology is reviewing and evaluating all of the basic assumptions made by the auditor such as equipment power draws, operating schedules, fixture counts, etc. These basic assumptions are common building blocks used in energy use analysis. So, the goal of this project is to improve the audit assumptions and thereby improve the accuracy of future energy audits and EEM assessments.

  10. Assumptions and ambiguities in nonplanar acoustic soliton theory

    SciTech Connect (OSTI)

    Verheest, Frank [Sterrenkundig Observatorium, Universiteit Gent, Krijgslaan 281, B–9000 Gent (Belgium) [Sterrenkundig Observatorium, Universiteit Gent, Krijgslaan 281, B–9000 Gent (Belgium); School of Chemistry and Physics, University of KwaZulu-Natal, Durban 4000 (South Africa); Hellberg, Manfred A. [School of Chemistry and Physics, University of KwaZulu-Natal, Durban 4000 (South Africa)] [School of Chemistry and Physics, University of KwaZulu-Natal, Durban 4000 (South Africa)

    2014-02-15T23:59:59.000Z

    There have been many recent theoretical investigations of the nonlinear evolution of electrostatic modes with cylindrical or spherical symmetry. Through a reductive perturbation analysis based on a quasiplanar stretching, a modified form of the Korteweg-de Vries or related equation is derived, containing an additional term which is linear in the electrostatic potential and singular at time t?=?0. Unfortunately, these analyses contain several restrictive assumptions and ambiguities which are normally neither properly explained nor discussed, and severely limit the applicability of the technique. Most glaring are the use of plane-wave stretchings, the assumption that shape-preserving cylindrical modes can exist and that, although time is homogeneous, the origin of time (which can be chosen arbitrarily) needs to be avoided. Hence, only in the domain where the nonlinear modes are quasiplanar, far from the axis of cylindrical or from the origin of spherical symmetry can acceptable but unexciting results be obtained. Nonplanar nonlinear modes are clearly an interesting topic of research, as some of these phenomena have been observed in experiments. However, it is argued that a proper study of such modes needs numerical simulations rather than ill-suited analytical approximations.

  11. A probabilistic graphical model based stochastic input model construction

    SciTech Connect (OSTI)

    Wan, Jiang [Materials Process Design and Control Laboratory, Sibley School of Mechanical and Aerospace Engineering, 101 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States); Zabaras, Nicholas, E-mail: nzabaras@gmail.com [Materials Process Design and Control Laboratory, Sibley School of Mechanical and Aerospace Engineering, 101 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States); Center for Applied Mathematics, 657 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States)

    2014-09-01T23:59:59.000Z

    Model reduction techniques have been widely used in modeling of high-dimensional stochastic input in uncertainty quantification tasks. However, the probabilistic modeling of random variables projected into reduced-order spaces presents a number of computational challenges. Due to the curse of dimensionality, the underlying dependence relationships between these random variables are difficult to capture. In this work, a probabilistic graphical model based approach is employed to learn the dependence by running a number of conditional independence tests using observation data. Thus a probabilistic model of the joint PDF is obtained and the PDF is factorized into a set of conditional distributions based on the dependence structure of the variables. The estimation of the joint PDF from data is then transformed to estimating conditional distributions under reduced dimensions. To improve the computational efficiency, a polynomial chaos expansion is further applied to represent the random field in terms of a set of standard random variables. This technique is combined with both linear and nonlinear model reduction methods. Numerical examples are presented to demonstrate the accuracy and efficiency of the probabilistic graphical model based stochastic input models. - Highlights: • Data-driven stochastic input models without the assumption of independence of the reduced random variables. • The problem is transformed to a Bayesian network structure learning problem. • Examples are given in flows in random media.

  12. Recommendation 177: Facilitating Early Public Input

    Broader source: Energy.gov [DOE]

    DOE should initiate consultation meetings with stake holders immediately to allow early public input into the planning for IFDP

  13. Countering Poisonous Inputs with Memetic Neuroevolution

    E-Print Network [OSTI]

    Togelius, Julian

    Countering Poisonous Inputs with Memetic Neuroevolution Julian Togelius1 , Tom Schaul1 , J-dimensional and/or ill-chosen state description. Evidently, some controller inputs are "poisonous also ex- plore which types of inputs are poisonous for two different reinforcement learning problems. 1

  14. Validity of conventional assumptions concerning flexible response. Research report

    SciTech Connect (OSTI)

    Gutierrez, M.J.

    1989-01-01T23:59:59.000Z

    The North Atlantic Treaty Organization is an alliance for collective defense. Made up of 16 countries, NATO has been a successful alliance because there has been no war in Europe since 1945. In 1967, NATO adopted the strategy of flexible response, a strategy dependent upon conventional, tactical nuclear, and strategic nuclear weapons to provide deterrence from a Warsaw Pact attack. Although successful, NATO is suffering from an erosion in conventional strength. NATO continues to make assumptions about its conventional capabilities to successfully meet the requirements of the flexible response strategy. In the present day world of NATO, there is limited funding, a fact that is not likely to change any time in the foreseeable future. Limited funding makes it impossible to buy all the conventional force structure needed to ideally support the current strategy, also a fact that is unlikely to change. This paper shows limitations in some of the ways NATO assumes it can conventionally perform its mission. It is the author's position that NATO should modernize its conventional thinking to make it more in line with the realities of the situation NATO finds itself in today.

  15. Estimating production functions with damage control inputs: an application to Korean vegetable production

    E-Print Network [OSTI]

    Park, Pil Ja

    2002-01-01T23:59:59.000Z

    (1997) explore the implicanons of the Lichienberg and Zilberman model, particularly the assumption that damage abatement is independent of all other inputs. The general functional form proposed by Lichtenberg and Zilbennan is (2. 2) q = f[z, G(x... with damage abatement functions G(x, y) as the input were estimated, using the chosen model for the variance 3. 3. ) Esrimationoff (xyz) For f( ), a Cobb-Douglas, translog and quadratic were estimated. The respective model specifications are: (3. 6) f...

  16. Additivity and multiplicativity properties of some Gaussian channels for Gaussian inputs

    E-Print Network [OSTI]

    Tohya Hiroshima

    2006-02-13T23:59:59.000Z

    We prove multiplicativity of maximal output $p$ norm of classical noise channels and thermal noise channels of arbitrary modes for all $p>1$ under the assumption that the input signal states are Gaussian states. As a direct consequence, we also show the additivity of the minimal output entropy and that of the energy-constrained Holevo capacity for those Gaussian channels under Gaussian inputs. To the best of our knowledge, newly discovered majorization relation on symplectic eigenvalues, which is also of independent interest, plays a central role in the proof.

  17. Assumptions and Strategies for Conducting Research with Learning Disabled Adolescents and Young Adults

    E-Print Network [OSTI]

    Meyen, Edward L.; Schiefelbusch, Richard L.; Deshler, Donald D.; Alley, Gordon R.; Moran, Mary Ross; Clark, Frances L.

    1980-01-01T23:59:59.000Z

    This paper details the assumptions about learning disabled adolescents and young adults as well as assumptions about conducting research with this population held by researchers at the Kansas Institute. Strategies developed ...

  18. The Power of a Few Large Blocks: A credible assumption with incredible efficiency

    E-Print Network [OSTI]

    Foster, Dean P.

    i.i.d. assumption about the error structure, the two-sample t-statistic for oil was significantThe Power of a Few Large Blocks: A credible assumption with incredible efficiency Dongyu Lin and Dean P. Foster Abstract The most powerful assumption in data analysis is that of independence. Unfortu

  19. Sensitivity of piping seismic responses to input factors

    SciTech Connect (OSTI)

    O'Connell, W.J.

    1985-05-01T23:59:59.000Z

    This report summarizes the sensitivity of peak dynamic seismic responses to input parameters. The responses have been modeled and calculated for the Zion Unit 1 plant as part of a seismic probabilistic risk assessment (PRA) performed by the US NRC Seismic Safety Margins Research Program (SSMRP). The SSMRP was supported by the US NRC Office of Nuclear Regulatory Research. Two sensitivity topics motivated the study. The first is the sensitivity of piping response to the mean value of piping damping. The second is the sensitivity of all the responses to the earthquake and model input parameters including soil, structure and piping parameters; this information is required for another study, the sensitivity of the plant system response (in terms of risk) to these dynamic input parameters and to other input factors. We evaluate the response sensitivities by performing a linear regression analysis (LRA) of the computer code SMACS. With SMACS we have a detailed model of the Zion plant and of the important dynamic processes in the soil, structures and piping systems. The qualitative results change with the location of the individual response. Different responses are in locations where the many potential influences have different effectiveness. The results give an overview of the complexity of the seismic dyanmic response of a plant. Within the diversity trends are evident in the influences of the input variables on the responses.

  20. Model independent determination of the CKM phase $?$ using input from $D^0-\\bar{D}^0$ mixing

    E-Print Network [OSTI]

    Samuel Harnew; Jonas Rademacker

    2014-12-23T23:59:59.000Z

    We present a new, amplitude model-independent method to measure the CP violation parameter $\\gamma$ in $B^- \\to DK^-$ and related decays. Information on charm interference parameters, usually obtained from charm threshold data, is obtained from charm mixing. By splitting the phase space of the $D$ meson decay into several bins, enough information can be gained to measure $\\gamma$ without input from the charm threshold. We demonstrate the feasibility of this approach with a simulation study of $B^- \\to DK^-$ with $D \\to K^+ \\pi^- \\pi^+ \\pi^-$. We compare the performance of our novel approach to that of a previously proposed binned analysis which uses charm interference parameters obtained from threshold data. While both methods provide useful constraints, the combination of the two by far outperforms either of them applied on their own. Such an analysis would provide a highly competitive measurement of $\\gamma$. Our simulation studies indicate, subject to assumptions about data yields and the amplitude structure of $D^0 \\to K^+ \\pi^- \\pi^+ \\pi^-$, a statistical uncertainty on $\\gamma$ of $\\sim 13^{\\circ}$ with existing data and $4^{\\circ}$ for the LHCb-upgrade.

  1. Assigning intonation elements and prosodic phrasing for English speech synthesis from high level linguistic input 

    E-Print Network [OSTI]

    Black, Alan W; Taylor, Paul A

    This paper describes a method for generating intonation events and prosodic phrasing from a high level linguistic description. Specifically, the input consists of information normally available from linguistic processing: ...

  2. Code design for multiple-input multiple-output broadcast channels

    E-Print Network [OSTI]

    Uppal, Momin Ayub

    2009-06-02T23:59:59.000Z

    Recent information theoretical results indicate that dirty-paper coding (DPC) achieves the entire capacity region of the Gaussian multiple-input multiple-output (MIMO) broadcast channel (BC). This thesis presents practical code designs for Gaussian...

  3. Design and analysis of MIMO systems with practical channel state information assumptions

    E-Print Network [OSTI]

    Zheng, Jun

    2006-01-01T23:59:59.000Z

    LDPC-coded MIMO system with optimal soft MIMO detector overLDPC-coded MIMO systems employing a soft iterative receiverLDPC-coded MIMO systems employing a soft iterative receiver

  4. Design and analysis of MIMO systems with practical channel state information assumptions

    E-Print Network [OSTI]

    Zheng, Jun

    2006-01-01T23:59:59.000Z

    Comparison with Optimal MISO CSI-Quantizers . . . . . . 9655 Capacity Analysis of MISO Systems with Finite-Rate CSIAnalysis of MISO CSI Quantizers with Mismatched Codebooks

  5. Code input alternatives John C. Wright

    E-Print Network [OSTI]

    Wright, John C.

    Code input alternatives John C. Wright John Wright Oct 2009 ­ CSWIM Workshop@ORNL Extensible markup, #type, #value, #units, #help idebug, logical, 1, "", "Turn;Summary Use a data-centric model for input creation (code namelists, IPS config file, etc) Database

  6. U-147:Red Hat Enterprise MRG Grid Input Validation Flaw

    Broader source: Energy.gov [DOE]

    The MRG Management Console (Cumin) does not properly filter HTML code from user-supplied input before displaying the input.

  7. Generation of RTL verification input stimulus

    E-Print Network [OSTI]

    Selvarathinam, Anand Manivannan

    2001-01-01T23:59:59.000Z

    This thesis presents an approach for generating input stimulus for verification of register-transfer level (RTL) design of VLSI circuits. RTL design is often subjected to a significant verification effort due to errors introduced during manual...

  8. Clauser-Horne Bell test with imperfect random inputs

    E-Print Network [OSTI]

    Xiao Yuan; Qi Zhao; Xiongfeng Ma

    2015-05-16T23:59:59.000Z

    Bell test is one of the most important tools in quantum information science. On the one hand, it enables fundamental test for the physics laws of nature, and on the other hand, it can be also applied in varieties of device independent tasks such as quantum key distribution and random number generation. In practice, loopholes existing in experimental demonstrations of Bell tests may affect the validity of the conclusions. In this work, we focus on the randomness (freewill) loophole and investigate the randomness requirement in a well-known Bell test, the Clauser-Horne test, under various conditions. With partially random inputs, we explicitly bound the Bell value for all local hidden variable models by optimizing the classical strategy. Our result thus puts input randomness requirement on the Clauser-Horne test under varieties of practical scenarios. The employed analysis technique can be generalized to other Bell's inequalities.

  9. Summary of Input to DOE Request for Information

    E-Print Network [OSTI]

    Office Department of Energy Fuel Cell Pre-Solicitation Workshop January 23, 2008 #12;2 Purpose · Release date: 11/20/07; Close date: 1/14/08 · Obtain feedback from the fuel cell community. · Planned Funding, stationary, etc.). #12;4 RFI Statistics · 94 individual comments · 36 entities responded · Responses included

  10. V-192: Symantec Security Information Manager Input Validation Flaws Permit

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015of 2005UNSDepartmentFebruaryPhase|PotomacDepartmentRemoteVulnerabilityApple

  11. OECD Input-Output Tables | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorth AmericaNorthwest RuralNujira Ltd JumpO

  12. V-192: Symantec Security Information Manager Input Validation Flaws Permit

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02 TUE 08:59Capability for2:ofDepartment|Attacks |1:

  13. Lifting Rationality Assumptions in Binary Aggregation Umberto Grandi and Ulle Endriss

    E-Print Network [OSTI]

    Endriss, Ulle

    Lifting Rationality Assumptions in Binary Aggregation Umberto Grandi and Ulle Endriss Institute aggregation procedure will lift the rationality assumptions from the in- dividual to the collective level, i an axiomatic characterisation of the class of aggregation proce- dures that will lift all rationality

  14. Arctic Ice Dynamics Joint Experiment (AIDJEX) assumptions revisited and found inadequate

    E-Print Network [OSTI]

    Sulsky, Deborah L.

    the Arctic Ice Dynamics Joint Experiment (AIDJEX) assumptions about pack ice behavior with an eye to modeling the behavior of pack ice. A model based on these assumptions is needed to represent the deformation and stress in pack ice on scales from 10 to 100 km, and would need to explicitly resolve discontinuities

  15. OIKOS 101: 499504, 2003 Do seedlings in gaps interact? A field test of assumptions in ESS

    E-Print Network [OSTI]

    Silvertown, Jonathan

    OIKOS 101: 499­504, 2003 Do seedlings in gaps interact? A field test of assumptions in ESS seed seedlings in gaps interact? A field test of assumptions in ESS seed size models. ­ Oikos 101: 499­504. ESS for the occupancy of `safe sites' or vegetation gaps. If mortality rates are high and/or frequency-independent, ESS

  16. A new scenario framework for climate change research: The concept of Shared Climate Policy Assumptions

    SciTech Connect (OSTI)

    Kriegler, Elmar; Edmonds, James A.; Hallegatte, Stephane; Ebi, Kristie L.; Kram, Tom; Riahi, Keywan; Winkler, Harald; Van Vuuren, Detlef

    2014-04-01T23:59:59.000Z

    The paper presents the concept of shared climate policy assumptions as an important element of the new scenario framework. Shared climate policy assumptions capture key climate policy dimensions such as the type and scale of mitigation and adaptation measures. They are not specified in the socio-economic reference pathways, and therefore introduce an important third dimension to the scenario matrix architecture. Climate policy assumptions will have to be made in any climate policy scenario, and can have a significant impact on the scenario description. We conclude that a meaningful set of shared climate policy assumptions is useful for grouping individual climate policy analyses and facilitating their comparison. Shared climate policy assumptions should be designed to be policy relevant, and as a set to be broad enough to allow a comprehensive exploration of the climate change scenario space.

  17. Appropriate technology for planning hydroelectric power projects in Nepal: the need for assumption analysis

    SciTech Connect (OSTI)

    Chandler, C.G.

    1981-06-01T23:59:59.000Z

    The study focuses on the project development process for hydroelectric project planning in Nepal. Chapter I describes the contrast between the vast potential for hydroelectric power development in Nepal and the current energy shortage within the country, not only for electricity, but for firewood and other fuel sources as well. Chapter II explores some of the unknown factors facing hydropower project planners in Nepal, where data for hydrologic, geologic, environmental, and sociological project components are lacking. The chapter also examines institutional and fiscal factors which constrain the planning process. Chapter III describes the critical role of assumptions in the project development process, and details the stages that a project goes through as it is planned. The chapter introduces the concept of assumption analysis as a technique for project planning, listing the potential conflict between the assumptions of foreign consultants and the host-country users of project outputs as an ingredient in the project's success or failure. Chapter IV demonstrates the mechanics and usefulness of assumption analysis through an Assumption Analysis Chart, which shows the interaction among project objectives, project alternatives, project assumptions, and the project development process. Assumption analysis techniques are expected to be useful among bilateral and multilateral aid donors servicing less developed countries.

  18. Characterization of industrial process waste heat and input heat streams

    SciTech Connect (OSTI)

    Wilfert, G.L.; Huber, H.B.; Dodge, R.E.; Garrett-Price, B.A.; Fassbender, L.L.; Griffin, E.A.; Brown, D.R.; Moore, N.L.

    1984-05-01T23:59:59.000Z

    The nature and extent of industrial waste heat associated with the manufacturing sector of the US economy are identified. Industry energy information is reviewed and the energy content in waste heat streams emanating from 108 energy-intensive industrial processes is estimated. Generic types of process equipment are identified and the energy content in gaseous, liquid, and steam waste streams emanating from this equipment is evaluated. Matchups between the energy content of waste heat streams and candidate uses are identified. The resultant matrix identifies 256 source/sink (waste heat/candidate input heat) temperature combinations. (MHR)

  19. Wisconsin Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear JanYearFuel5,266 6,090 7,16354,828Feet) DecadeDecadeInput

  20. South Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan FebDecadeDecade Year-0 Year-1 Year-2 Year-3DecadeInput

  1. South Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan FebDecadeDecade Year-0TotalH BV CYearInput Supplemental

  2. Louisiana Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office of Coal,Cubic Feet)FuelDecade Year-0Input Supplemental Fuels (Million

  3. Maryland Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office of Coal,Cubic Feet)FuelDecadePublication10.9919,923CubicFeet)Input

  4. Total Blender Net Input of Petroleum Products

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota"YearProductionShaleInput Product: Total Input Natural

  5. Behavioral Assumptions Underlying California Residential Sector Energy Efficiency Programs (2009 CIEE Report)

    Broader source: Energy.gov [DOE]

    This paper examines the behavioral assumptions that underlie California’s residential sector energy efficiency programs and recommends improvements that will help to advance the state’s ambitious greenhouse gas reduction goals.

  6. Sixth Northwest Conservation and Electric Power Plan Chapter 2: Key Assumptions

    E-Print Network [OSTI]

    at zero and increase to $47 per ton of CO2 emissions by 2030. Higher electricity prices reduce demandSixth Northwest Conservation and Electric Power Plan Chapter 2: Key Assumptions Summary of Key................................................................ 10 Wholesale Electricity Prices

  7. Adaptive Hardness and Composable Security in the Plain Model from Standard Assumptions

    E-Print Network [OSTI]

    Keinan, Alon

    Adaptive Hardness and Composable Security in the Plain Model from Standard Assumptions Ran Canetti-up or public keys. Tel Aviv University, Email: Canetti@tau.ac.il Cornell University, E-Mail: huijia

  8. WVU Regional Research Institute grad assistant wins national award for throwing assumptions out the window

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    WVU Regional Research Institute grad assistant wins national award for throwing assumptions out the window Silicon Valley conjures images of leading edge technology. Las Vegas makes one think of gambling

  9. Green Computing input for better outcomes

    E-Print Network [OSTI]

    Amir, Yair

    Journal Profile: Udi Dahan Green Maturity Model for Virtualization Profiling Energy Usage for Efficient suggests that tracking energy consumption at every level will become the factor of success for greenGreen Computing input for better outcomes Learn the discipline, pursue the art, and contribute

  10. Consanguine Calculations Input File: blood.in

    E-Print Network [OSTI]

    California at Berkeley, University of

    1 of 20 Problem A+ Consanguine Calculations Input File: blood.in Every person's blood has 2 markers in a particular ABO blood type for that person. Combination ABO Blood Type AA A AB AB AO A BB B BO B OO O Likewise, every person has two alleles for the blood Rh factor, represented by the characters + and -. Someone who

  11. Asynchronous vs Synchronous Input-Queued Switches

    E-Print Network [OSTI]

    of high-performance switches. 1 INTRODUCTION A vast technical literature exists on input-queued (IQ to performance losses in comparison with synchronous cell switching, these losses are limited, and may be smaller than the losses due to the above-mentioned segmenta- tion/reassembly overheads. In real scenarios

  12. Asynchronous vs Synchronous Input-Queued Switches

    E-Print Network [OSTI]

    for the design of high-performance switches. I. INTRODUCTION A vast technical literature exists on input. Unfortunately the technical literature has largely neglected this situation, and concentrated the attention throughput, or to simpler scheduling. Even when the asynchronous operation leads to performance losses

  13. U-252: Barracuda Web Filter Input Validation Flaws Permit Cross...

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

    2: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks U-252: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks September...

  14. T-623: HP Business Availability Center Input Validation Hole...

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

    3: HP Business Availability Center Input Validation Hole Permits Cross-Site Scripting Attacks T-623: HP Business Availability Center Input Validation Hole Permits Cross-Site...

  15. V-139: Cisco Network Admission Control Input Validation Flaw...

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

    9: Cisco Network Admission Control Input Validation Flaw Lets Remote Users Inject SQL Commands V-139: Cisco Network Admission Control Input Validation Flaw Lets Remote Users Inject...

  16. USDA, Departments of Energy and Navy Seek Input from Industry...

    Office of Environmental Management (EM)

    Departments of Energy and Navy Seek Input from Industry to Advance Biofuels for Military and Commercial Transportation USDA, Departments of Energy and Navy Seek Input from Industry...

  17. U-219: Symantec Web Gateway Input Validation Flaws Lets Remote...

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

    9: Symantec Web Gateway Input Validation Flaws Lets Remote Users Inject SQL Commands, Execute Arbitrary Commands, and Change User Passwords U-219: Symantec Web Gateway Input...

  18. Characteristic Operator Functions for Quantum Input-Plant-Output Models & Coherent Control

    E-Print Network [OSTI]

    J. E. Gough

    2015-01-09T23:59:59.000Z

    We introduce the characteristic operator as the generalization of the usual concept of a transfer function of linear input-plant-output systems to arbitrary quantum nonlinear Markovian input-output models. This is intended as a tool in the characterization of quantum feedback control systems that fits in with the general theory of networks. The definition exploits the linearity of noise differentials in both the plant Heisenberg equations of motion and the differential form of the input-output relations. Mathematically, the characteristic operator is a matrix of dimension equal to the number of outputs times the number of inputs (which must coincide), but with entries that are operators of the plant system. In this sense the characteristic operator retains details of the effective plant dynamical structure and is an essentially quantum object. We illustrate the relevance to model reduction and simplification by showing that the convergence of the characteristic operator in adiabatic elimination limit models requires the same conditions and assumptions appearing in the work on limit quantum stochastic differential theorems of Bouten and Silberfarb. This approach also shows in a natural way that the limit coefficients of the quantum stochastic differential equations in adiabatic elimination problems arise algebraically as Schur complements, and amounts to a model reduction where the fast degrees of freedom are decoupled from the slow ones, and eliminated.

  19. Input to Priorities Panel August 7, 2012

    E-Print Network [OSTI]

    Input to Priorities Panel August 7, 2012 Jeff Freidberg MIT 1 #12;The Emperor of Fusion has · Comparison (1 GW overnight cost) · Coal $ 3B · Gas $ 1B · Nuclear $ 4B · Wind $ 2B · Solar-T $ 3B · ITER $25B option · Tough MHD, heating, current drive, transport · I doubt it will achieve its mission · Still

  20. Soft-Input Soft-Output Sphere Decoding Christoph Studer

    E-Print Network [OSTI]

    Soft-Input Soft-Output Sphere Decoding Christoph Studer Integrated Systems Laboratory ETH Zurich Soft-input soft-output (SISO) detection in multiple-input multiple-output (MIMO) systems constitutes Laboratory ETH Zurich, 8092 Zurich, Switzerland Email: boelcskei@nari.ee.ethz.ch Abstract--Soft-input soft

  1. Sensitivity of Rooftop PV Projections in the SunShot Vision Study to Market Assumptions

    SciTech Connect (OSTI)

    Drury, E.; Denholm, P.; Margolis, R.

    2013-01-01T23:59:59.000Z

    The SunShot Vision Study explored the potential growth of solar markets if solar prices decreased by about 75% from 2010 to 2020. The SolarDS model was used to simulate rooftop PV demand for this study, based on several PV market assumptions--future electricity rates, customer access to financing, and others--in addition to the SunShot PV price projections. This paper finds that modeled PV demand is highly sensitive to several non-price market assumptions, particularly PV financing parameters.

  2. External review of the thermal energy storage (TES) cogeneration study assumptions. Final report

    SciTech Connect (OSTI)

    Lai, B.Y.; Poirier, R.N. [Chicago Bridge and Iron Technical Services Co., Plainfield, IL (United States)

    1996-08-01T23:59:59.000Z

    This report is to provide a detailed review of the basic assumptions made in the design, sizing, performance, and economic models used in the thermal energy storage (TES)/cogeneration feasibility studies conducted by Pacific Northwest Laboratory (PNL) staff. This report is the deliverable required under the contract.

  3. RETI Phase 1B Final Report Update NET SHORT RECALCULATION AND NEW PV ASSUMPTIONS

    E-Print Network [OSTI]

    RETI Phase 1B Final Report Update NET SHORT RECALCULATION AND NEW PV ASSUMPTIONS With Revisions distributed photovoltaic (PV) installations in the Report is unclear and perhaps misleading. At the direction-generation is required. The CEC forecast assumed that 1,082 GWh will be self-generated by consumers from new PV

  4. Human lightness perception is guided by simple assumptions about reflectance and lighting

    E-Print Network [OSTI]

    Murray, Richard

    Human lightness perception is guided by simple assumptions about reflectance and lighting Richard F 0009, Toronto, Ontario, Canada, M3J 1P3 ABSTRACT Lightness constancy is the remarkable ability of human successful approaches to understanding lightness perception that have developed along independent paths

  5. On the assumption of mutual independence of jitter realizations in P-TRNG stochastic models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    On the assumption of mutual independence of jitter realizations in P-TRNG stochastic models Patrick at transistor level and on conversion of the noise to the clock jitter exploited at the generator level. Using this approach, we can estimate proportion of the jitter coming only from the thermal noise, which is included

  6. On the Limitations of Universally Composable Two Party Computation Without Setup Assumptions #

    E-Print Network [OSTI]

    Lindell, Yehuda

    for essentially any cryptographic task in the plain model (i.e., with no setup assumptions beyond regarding the existence of universally composable protocols in the plain model without honest majority of universally composable two­party function evaluation in the plain model. Our results show that in this setting

  7. Ground motion input in seismic evaluation studies

    SciTech Connect (OSTI)

    Sewell, R.T.; Wu, S.C.

    1996-07-01T23:59:59.000Z

    This report documents research pertaining to conservatism and variability in seismic risk estimates. Specifically, it examines whether or not artificial motions produce unrealistic evaluation demands, i.e., demands significantly inconsistent with those expected from real earthquake motions. To study these issues, two types of artificial motions are considered: (a) motions with smooth response spectra, and (b) motions with realistic variations in spectral amplitude across vibration frequency. For both types of artificial motion, time histories are generated to match target spectral shapes. For comparison, empirical motions representative of those that might result from strong earthquakes in the Eastern U.S. are also considered. The study findings suggest that artificial motions resulting from typical simulation approaches (aimed at matching a given target spectrum) are generally adequate and appropriate in representing the peak-response demands that may be induced in linear structures and equipment responding to real earthquake motions. Also, given similar input Fourier energies at high-frequencies, levels of input Fourier energy at low frequencies observed for artificial motions are substantially similar to those levels noted in real earthquake motions. In addition, the study reveals specific problems resulting from the application of Western U.S. type motions for seismic evaluation of Eastern U.S. nuclear power plants.

  8. Assumptions and Criteria for Performing a Feasability Study of the Conversion of the High Flux Isotope Reactor Core to Use Low-Enriched Uranium Fuel

    SciTech Connect (OSTI)

    Primm, R.T., III; Ellis, R.J.; Gehin, J.C.; Moses, D.L.; Binder, J.L.; Xoubi, N. (U. of Cincinnati)

    2006-02-01T23:59:59.000Z

    A computational study will be initiated during fiscal year 2006 to examine the feasibility of converting the High Flux Isotope Reactor from highly enriched uranium fuel to low-enriched uranium. The study will be limited to steady-state, nominal operation, reactor physics and thermal-hydraulic analyses of a uranium-molybdenum alloy that would be substituted for the current fuel powder--U{sub 3}O{sub 8} mixed with aluminum. The purposes of this document are to (1) define the scope of studies to be conducted, (2) define the methodologies to be used to conduct the studies, (3) define the assumptions that serve as input to the methodologies, (4) provide an efficient means for communication with the Department of Energy and American research reactor operators, and (5) expedite review and commentary by those parties.

  9. Study on the Procedural Generation of Visualization from Musical Input using Generative Art Techniques 

    E-Print Network [OSTI]

    Garcia, Christopher

    2011-08-08T23:59:59.000Z

    . There should be an obvious similarity between the input music and the final animation, based on the music information which the user decides to extract and visualize. This project includes a pipeline for music data extraction and creation of an editable...

  10. V-193: Barracuda SSL VPN Input Validation Hole Permits Cross...

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

    2.3.3.216 Addthis Related Articles U-252: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks U-144:Juniper Secure Access Input Validation Flaw Permits...

  11. On the Wind Power Input to the Ocean General Circulation

    E-Print Network [OSTI]

    Zhai, Xiaoming

    The wind power input to the ocean general circulation is usually calculated from the time-averaged wind products. Here, this wind power input is reexamined using available observations, focusing on the role of the synoptically ...

  12. Automatically identifying critical input regions and code in applications

    E-Print Network [OSTI]

    Carbin, Michael James

    Applications that process complex inputs often react in different ways to changes in different regions of the input. Small changes to forgiving regions induce correspondingly small changes in the behavior and output. Small ...

  13. The Intelligent Combination of Input Shaping and PID Feedback Control

    E-Print Network [OSTI]

    Singhose, William

    The Intelligent Combination of Input Shaping and PID Feedback Control A Dissertation Presented Combination of Input Shaping and PID Feedback Control Approved by: Dr. William Singhose, Advisor School . . . . . . . . . . . . . . . . . . . . 8 1.4 PID Feedback Control . . . . . . . . . . . . . . . . . . . . . . . . . . 14 1.5 Comparison

  14. Input Routing Determining the next hop with ip_route_input()

    E-Print Network [OSTI]

    Westall, James M.

    _route_input(struct sk_buff *skb, u32 daddr, u32 saddr, u8 tos, struct net_device *dev) 1624 { 1625 struct rtable * rth; 1626 unsigned hash; 1627 int iif = dev->ifindex; 1628 1629 tos &= IPTOS_RT_MASK; The rt_hash_code(daddr, saddr ^ (iif tos); The hash function is implemented by the inline function rt

  15. CERNA WORKING PAPER SERIES Strategic inputs into patent pools

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 CERNA WORKING PAPER SERIES Strategic inputs into patent pools Justus Baron Henry Delcamp Working;2 Strategic inputs into patent pools1 Justus BARON2 Henry DELCAMP3 Abstract: This article explores what factors determine the decision of a patent pool to accept new inputs. We propose a dynamic analysis

  16. First determination of the quark mixing matrix element Vtb independent of assumptions of unitarity

    E-Print Network [OSTI]

    John Swain; Lucas Taylor

    1997-12-17T23:59:59.000Z

    We present a new method for the determination of the Cabibbo-Kobayashi-Maskawa quark mixing matrix element $|V_{tb}|$ from electroweak loop corrections, in particular those affecting the process $Z\\to b\\bar{b}$. From a combined analysis of results from the LEP, SLC, Tevatron, and neutrino scattering experiments we determine $|V_{tb}| = 0.77^{+0.18}_{-0.24}$. This is the first determination of $|V_{tb}|$ which is independent of unitarity assumptions.

  17. A REVIEW OF ASSUMPTIONS AND ANALYSIS IN EPRI EA-3409, "HOUSEHOLD APPLIANCE CHOICE: REVISION OF REEPS BEHAVIORAL MODELS"

    E-Print Network [OSTI]

    Wood, D.J.

    2010-01-01T23:59:59.000Z

    of Assumptions and Analysis in EPRI EA-3409, "Householdby the Electric Power Research Institute, Inc. ("EPRI").Neither EPRI, members of EPRI, nor Lawrence Berkeley

  18. Input-output Analysis of Quantum Finite-level Systems in Response to Single Photon States

    E-Print Network [OSTI]

    Yu Pan; Guofeng Zhang; Matthew R. James

    2015-01-01T23:59:59.000Z

    Single photon states, which carry quantum information and coherently interact with quantum systems, are vital to the realization of all-optical quantum networks and quantum memory. In this paper we derive the conditions that enable an exact analysis of the response of passive quantum finite-level systems under the weak driving of single photon input. We show that when a class of finite level systems is driven by single photon inputs, expressions for the output states may be derived exactly using linear systems transfer functions. This removes the need for physical approximations such as weak excitation limit in the analysis of quantum nonlinear systems under single photon driving. We apply this theory to the analysis of a single photon switch. The input-output relations are consistent with the existing results in the study of few photon transport through finite-level systems.

  19. Procedure for developing biological input for the design, location, or modification of water-intake structures

    SciTech Connect (OSTI)

    Neitzel, D.A.; McKenzie, D.H.

    1981-12-01T23:59:59.000Z

    To minimize adverse impact on aquatic ecosystems resulting from the operation of water intake structures, design engineers must have relevant information on the behavior, physiology and ecology of local fish and shellfish. Identification of stimulus/response relationships and the environmental factors that influence them is the first step in incorporating biological information in the design, location or modification of water intake structures. A procedure is presented in this document for providing biological input to engineers who are designing, locating or modifying a water intake structure. The authors discuss sources of stimuli at water intakes, historical approaches in assessing potential/actual impact and review biological information needed for intake design.

  20. "Information-Friction" and its implications on minimum energy required for communication

    E-Print Network [OSTI]

    Pulkit Grover

    2014-09-01T23:59:59.000Z

    Just as there are frictional losses associated with moving masses on a surface, what if there were frictional losses associated with moving information on a substrate? Indeed, many modes of communication suffer from such frictional losses. We propose to model these losses as proportional to "bit-meters," i.e., the product of mass of information (i.e., the number of bits) and the distance of information transport. We use this "information- friction" model to understand fundamental energy requirements on encoding and decoding in communication circuitry. First, for communication across a binary input AWGN channel, we arrive at fundamental limits on bit-meters (and thus energy consumption) for decoding implementations that have a predetermined input-independent length of messages. For encoding, we relax the fixed-length assumption and derive bounds for flexible-message- length implementations. Using these lower bounds we show that the total (transmit + encoding + decoding) energy-per-bit must diverge to infinity as the target error probability is lowered to zero. Further, the closer the communication rate is maintained to the channel capacity (as the target error-probability is lowered to zero), the faster the required decoding energy diverges to infinity.

  1. Lattice QCD input for axion cosmology

    E-Print Network [OSTI]

    Evan Berkowitz; Michael I. Buchoff; Enrico Rinaldi

    2015-05-27T23:59:59.000Z

    One intriguing BSM particle is the QCD axion, which could simultaneously provide a solution to the Strong CP problem and account for some, if not all, of the dark matter density in the universe. This particle is a pNGB of the conjectured Peccei-Quinn (PQ) symmetry of the Standard Model. Its mass and interactions are suppressed by a heavy symmetry breaking scale, $f_a$, whose value is roughly greater than $10^{9}$ GeV (or, conversely, the axion mass, $m_a$, is roughly less than $10^4\\ \\mu \\text{eV}$). The density of axions in the universe, which cannot exceed the relic dark matter density and is a quantity of great interest in axion experiments like ADMX, is a result of the early-universe interplay between cosmological evolution and the axion mass as a function of temperature. The latter quantity is proportional to the second derivative of the QCD free energy with respect to the CP-violating phase, $\\theta$. However, this quantity is generically non-perturbative and previous calculations have only employed instanton models at the high temperatures of interest (roughly 1 GeV). In this and future works, we aim to calculate the temperature-dependent axion mass at small $\\theta$ from first-principle lattice calculations, with controlled statistical and systematic errors. Once calculated, this temperature-dependent axion mass is input for the classical evolution equations of the axion density of the universe. Due to a variety of lattice systematic effects at the very high temperatures required, we perform a calculation of the leading small-$\\theta$ cumulant of the theta vacua on large volume lattices for SU(3) Yang-Mills with high statistics as a first proof of concept, before attempting a full QCD calculation in the future. From these pure glue results, the misalignment mechanism yields the axion mass bound $m_a \\geq (14.6\\pm0.1) \\ \\mu \\text{eV}$ when PQ-breaking occurs after inflation.

  2. arterial input functions: Topics by E-print Network

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

    high-resolution detection of the arterial and venous input function through a PET Wrist Environmental Sciences and Ecology Websites Summary: model. Due to safety and...

  3. arterial input function: Topics by E-print Network

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

    high-resolution detection of the arterial and venous input function through a PET Wrist Environmental Sciences and Ecology Websites Summary: model. Due to safety and...

  4. Possible Magmatic Input to the Dixie Valley Geothermal Field...

    Open Energy Info (EERE)

    (MT) Resistivity Surveying Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Possible Magmatic Input to the Dixie Valley Geothermal Field, and...

  5. Impacts of atmospheric nutrient inputs on marine biogeochemistry

    E-Print Network [OSTI]

    Krishnamurthy, Aparna; Moore, J. Keith; Mahowald, Natalie; Luo, Chao; Zender, Charles S

    2010-01-01T23:59:59.000Z

    biomass burning, and biofuels) dominate P inputs [Olmez etburning, fossil fuels, biofuels, volcanoes, sea salts whichburning, fossil fuels, biofuels) G01006 of total P are

  6. ,"New York Natural Gas Input Supplemental Fuels (MMcf)"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2013 ,"Release Date:","227...

  7. A Requirement for Significant Reduction in the Maximum BTU Input...

    Energy Savers [EERE]

    A Requirement for Significant Reduction in the Maximum BTU Input Rate of Decorative Vented Gas Fireplaces Would Impose Substantial Burdens on Manufacturers A Requirement for...

  8. COSPAR/ILWS roadmap on space weather research and forecasting: community input COSPAR and the International Living With a Star (ILWS) steering committee have commissioned a strategic

    E-Print Network [OSTI]

    Schrijver, Karel

    COSPAR/ILWS roadmap on space weather research and forecasting: community input commissioned a strategic planning activity (or roadmap) focusing on the ability access as supplemental information to the roadmap report. In order

  9. Interactive Computing 1 Input/Output and Complex Arithmetic

    E-Print Network [OSTI]

    Verschelde, Jan

    Interactive Computing 1 Input/Output and Complex Arithmetic interactive Python scripts complex Software (MCS 507 L-3) Interactive Computing 30 August 2013 1 / 33 #12;Interactive Computing 1 Input/Output and Complex Arithmetic interactive Python scripts complex arithmetic 2 Python Coding Style and pylint coding

  10. Towards Efficient Private Distributed Computation on Unbounded Input Streams

    E-Print Network [OSTI]

    /11), Cabarnit Cyber Security MAGNET Consortium, MAFAT and Deutsche Telekom Labs at BGU. #12;2 Shlomi Dolev1Towards Efficient Private Distributed Computation on Unbounded Input Streams Shlomi Dolev1 , Juan- curely and distributively perform a computation on common inputs, in such a way that even if the entire

  11. Global sensitivity analysis of computer models with functional inputs

    E-Print Network [OSTI]

    Boyer, Edmond

    -based sensitivity analysis techniques, based on the so-called Sobol's indices, when some input variables computer codes which need a preliminary metamodeling step before performing the sensitivity analysis. We). The "mean model" allows to estimate the sensi- tivity indices of each scalar input variables, while

  12. Considering Workload Input Variations in Error Coverage Estimation

    E-Print Network [OSTI]

    Karlsson, Johan

    different parts of the workload code to be executed different number of times. By using the results from in the workload input when estimating error detection coverage using fault injection are investigated. Results sequence based on results from fault injection experiments with another input sequence is presented

  13. Coordination of Multiple Non-Holonomic Agents with Input Constraints

    E-Print Network [OSTI]

    Loizou, Savvas G.

    -aircraft systems modeled as hybrid systems. With the advent of powerful formal verification tools, there has been with aircraft-like kinematic constraints. A model of a system of input-constrained non- holonomic agents by Belta et al. in [10]. In this paper, a discrete model of a system with input- constrained non

  14. Washington International Renewable Energy Conference 2008 Pledges: Methodology and Assumptions Summary

    SciTech Connect (OSTI)

    Babiuch, B.; Bilello, D. E.; Cowlin, S. C.; Mann, M.; Wise, A.

    2008-08-01T23:59:59.000Z

    The 2008 Washington International Renewable Energy Conference (WIREC) was held in Washington, D.C., from March 4-6, 2008, and involved nearly 9,000 people from 125 countries. The event brought together worldwide leaders in renewable energy (RE) from governments, international organizations, nongovernmental organizations, and the private sector to discuss the role that renewables can play in alleviating poverty, growing economies, and passing on a healthy planet to future generations. The conference concluded with more than 140 governments, international organizations, and private-sector representatives pledging to advance the uptake of renewable energy. The U.S. government authorized the National Renewable Energy Laboratory (NREL) to estimate the carbon dioxide (CO2) savings that would result from the pledges made at the 2008 conference. This report describes the methodology and assumptions used by NREL in quantifying the potential CO2 reductions derived from those pledges.

  15. On the validity of the Poisson assumption in sampling nanometer-sized aerosols

    SciTech Connect (OSTI)

    Damit, Brian E [ORNL] [ORNL; Wu, Dr. Chang-Yu [University of Florida, Gainesville] [University of Florida, Gainesville; Cheng, Mengdawn [ORNL] [ORNL

    2014-01-01T23:59:59.000Z

    A Poisson process is traditionally believed to apply to the sampling of aerosols. For a constant aerosol concentration, it is assumed that a Poisson process describes the fluctuation in the measured concentration because aerosols are stochastically distributed in space. Recent studies, however, have shown that sampling of micrometer-sized aerosols has non-Poissonian behavior with positive correlations. The validity of the Poisson assumption for nanometer-sized aerosols has not been examined and thus was tested in this study. Its validity was tested for four particle sizes - 10 nm, 25 nm, 50 nm and 100 nm - by sampling from indoor air with a DMA- CPC setup to obtain a time series of particle counts. Five metrics were calculated from the data: pair-correlation function (PCF), time-averaged PCF, coefficient of variation, probability of measuring a concentration at least 25% greater than average, and posterior distributions from Bayesian inference. To identify departures from Poissonian behavior, these metrics were also calculated for 1,000 computer-generated Poisson time series with the same mean as the experimental data. For nearly all comparisons, the experimental data fell within the range of 80% of the Poisson-simulation values. Essentially, the metrics for the experimental data were indistinguishable from a simulated Poisson process. The greater influence of Brownian motion for nanometer-sized aerosols may explain the Poissonian behavior observed for smaller aerosols. Although the Poisson assumption was found to be valid in this study, it must be carefully applied as the results here do not definitively prove applicability in all sampling situations.

  16. Optimal Use of Current and Outdated Channel State Information - Degrees of Freedom of the MISO BC with Mixed CSIT

    E-Print Network [OSTI]

    Gou, Tiangao

    2012-01-01T23:59:59.000Z

    We consider a multiple-input-single-output (MISO) broadcast channel with mixed channel state information at the transmitter (CSIT) that consists of imperfect current CSIT and perfect outdated CSIT. Recent work by Kobayashi et al. presented a scheme which exploits both imperfect current CSIT and perfect outdated CSIT and achieves higher degrees of freedom (DoF) than possible with only imperfect current CSIT or only outdated CSIT individually. In this work, we further improve the achievable DoF in this setting by incorporating additional private messages, and provide a tight information theoretic DoF outer bound, thereby identifying the DoF optimal use of mixed CSIT. The new result is stronger even in the original setting of only delayed CSIT, because it allows us to remove the restricting assumption of statistically equivalent fading for all users.

  17. Technical considerations related to interim source-term assumptions for emergency planning and equipment qualification. [PWR; BWR

    SciTech Connect (OSTI)

    Niemczyk, S.J.; McDowell-Boyer, L.M.

    1982-09-01T23:59:59.000Z

    The source terms recommended in the current regulatory guidance for many considerations of light water reactor (LWR) accidents were developed a number of years ago when understandings of many of the phenomena pertinent to source term estimation were relatively primitive. The purpose of the work presented here was to develop more realistic source term assumptions which could be used for interim regulatory purposes for two specific considerations, namely, equipment qualification and emergency planning. The overall approach taken was to adopt assumptions and models previously proposed for various aspects of source term estimation and to modify those assumptions and models to reflect recently gained insights into, and data describing, the release and transport of radionuclides during and after LWR accidents. To obtain illustrative estimates of the magnitudes of the source terms, the results of previous calculations employing the adopted assumptions and models were utilized and were modified to account for the effects of the recent insights and data.

  18. T-623: HP Business Availability Center Input Validation Hole Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    The software does not properly filter HTML code from user-supplied input before displaying the input.

  19. Wavelength meter having single mode fiber optics multiplexed inputs

    DOE Patents [OSTI]

    Hackel, Richard P. (Livermore, CA); Paris, Robert D. (San Ramon, CA); Feldman, Mark (Pleasanton, CA)

    1993-01-01T23:59:59.000Z

    A wavelength meter having a single mode fiber optics input is disclosed. The single mode fiber enables a plurality of laser beams to be multiplexed to form a multiplexed input to the wavelength meter. The wavelength meter can provide a determination of the wavelength of any one or all of the plurality of laser beams by suitable processing. Another aspect of the present invention is that one of the laser beams could be a known reference laser having a predetermined wavelength. Hence, the improved wavelength meter can provide an on-line calibration capability with the reference laser input as one of the plurality of laser beams.

  20. Wavelength meter having single mode fiber optics multiplexed inputs

    DOE Patents [OSTI]

    Hackel, R.P.; Paris, R.D.; Feldman, M.

    1993-02-23T23:59:59.000Z

    A wavelength meter having a single mode fiber optics input is disclosed. The single mode fiber enables a plurality of laser beams to be multiplexed to form a multiplexed input to the wavelength meter. The wavelength meter can provide a determination of the wavelength of any one or all of the plurality of laser beams by suitable processing. Another aspect of the present invention is that one of the laser beams could be a known reference laser having a predetermined wavelength. Hence, the improved wavelength meter can provide an on-line calibration capability with the reference laser input as one of the plurality of laser beams.

  1. Single family heating and cooling requirements: Assumptions, methods, and summary results

    SciTech Connect (OSTI)

    Ritschard, R.L.; Hanford, J.W.; Sezgen, A.O. (Lawrence Berkeley Lab., CA (United States))

    1992-03-01T23:59:59.000Z

    The research has created a data base of hourly building loads using a state-of-the-art building simulation code (DOE-2.ID) for 8 prototypes, representing pre-1940s to 1990s building practices, in 16 US climates. The report describes the assumed modeling inputs and building operations, defines the building prototypes and selection of base cities, compares the simulation results to both surveyed and measured data sources, and discusses the results. The full data base with hourly space conditioning, water heating, and non-HVAC electricity consumption is available from GRI. In addition, the estimated loads on a per square foot basis are included as well as the peak heating and cooling loads.

  2. Special relativity as the limit of an Aristotelian universal friction theory under Reye's assumption

    E-Print Network [OSTI]

    E. Minguzzi

    2014-11-28T23:59:59.000Z

    This work explores a classical mechanical theory under two further assumptions: (a) there is a universal dry friction force (Aristotelian mechanics), and (b) the variation of the mass of a body due to wear is proportional to the work done by the friction force on the body (Reye's hypothesis). It is shown that mass depends on velocity as in Special Relativity, and that the velocity is constant for a particular characteristic value. In the limit of vanishing friction the theory satisfies a relativity principle as bodies do not decelerate and, therefore, the absolute frame becomes unobservable. However, the limit theory is not Newtonian mechanics, with its Galilei group symmetry, but rather Special Relativity. This result suggests to regard Special Relativity as the limit of a theory presenting universal friction and exchange of mass-energy with a reservoir (vacuum). Thus, quite surprisingly, Special Relativity follows from the absolute space (ether) concept and could have been discovered following studies of Aristotelian mechanics and friction. We end the work confronting the full theory with observations. It predicts the Hubble law through tired light, and hence it is incompatible with supernova light curves unless both mechanisms of tired light (locally) and universe expansion (non-locally) are at work. It also nicely accounts for some challenging numerical coincidences involving phenomena under low acceleration.

  3. Estimating Alarm Thresholds for Process Monitoring Data under Different Assumptions about the Data Generating Mechanism

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

    Burr, Tom; Hamada, Michael S.; Howell, John; Skurikhin, Misha; Ticknor, Larry; Weaver, Brian

    2013-01-01T23:59:59.000Z

    Process monitoring (PM) for nuclear safeguards sometimes requires estimation of thresholds corresponding to small false alarm rates. Threshold estimation dates to the 1920s with the Shewhart control chart; however, because possible new roles for PM are being evaluated in nuclear safeguards, it is timely to consider modern model selection options in the context of threshold estimation. One of the possible new PM roles involves PM residuals, where a residual is defined as residual = data ? prediction. This paper reviews alarm threshold estimation, introduces model selection options, and considers a range of assumptions regarding the data-generating mechanism for PM residuals.more »Two PM examples from nuclear safeguards are included to motivate the need for alarm threshold estimation. The first example involves mixtures of probability distributions that arise in solution monitoring, which is a common type of PM. The second example involves periodic partial cleanout of in-process inventory, leading to challenging structure in the time series of PM residuals.« less

  4. A METHOD TO EXTRACT THE REDSHIFT DISTORTION {beta} PARAMETER IN CONFIGURATION SPACE FROM MINIMAL COSMOLOGICAL ASSUMPTIONS

    SciTech Connect (OSTI)

    Tocchini-Valentini, Domenico; Barnard, Michael; Bennett, Charles L.; Szalay, Alexander S., E-mail: dtv@pha.jhu.edu [Department of Physics and Astronomy, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218-2686 (United States)

    2012-10-01T23:59:59.000Z

    We present a method to extract the redshift-space distortion {beta} parameter in configuration space with a minimal set of cosmological assumptions. We show that a novel combination of the observed monopole and quadrupole correlation functions can remove efficiently the impact of mild nonlinearities and redshift errors. The method offers a series of convenient properties: it does not depend on the theoretical linear correlation function, the mean galaxy density is irrelevant, only convolutions are used, and there is no explicit dependence on linear bias. Analyses based on dark matter N-body simulations and Fisher matrix demonstrate that errors of a few percent on {beta} are possible with a full-sky, 1 (h {sup -1} Gpc){sup 3} survey centered at a redshift of unity and with negligible shot noise. We also find a baryonic feature in the normalized quadrupole in configuration space that should complicate the extraction of the growth parameter from the linear theory asymptote, but that does not have a major impact on our method.

  5. RESIK Solar X-ray flare element abundances on a non-isothermal assumption

    E-Print Network [OSTI]

    Sylwester, B; Sylwester, J; Kepa, A

    2015-01-01T23:59:59.000Z

    Solar X-ray spectra from the RESIK crystal spectrometer on the {\\em CORONAS-F} spacecraft (spectral range $3.3-6.1$~\\AA) are analyzed for thirty-three flares using a method to derive abundances of Si, S, Ar, and K, emission lines of which feature prominently in the spectra. For each spectrum, the method first optimizes element abundances then derives the differential emission measure as a function of temperature based on a procedure given by Sylwester et al. and Withbroe. This contrasts with our previous analyses of RESIK spectra in which an isothermal assumption was used. The revised abundances (on a logarithmic scale with $A({\\rm H}) = 12$) averaged for all the flares in the analysis are $A({\\rm Si}) = 7.53 \\pm 0.08$ (previously $7.89 \\pm 0.13$), $A({\\rm S}) = 6.91 \\pm 0.07$ ($7.16 \\pm 0.17$), $A({\\rm Ar}) = 6.47 \\pm 0.08$ ($6.45 \\pm 0.07$), and $A({\\rm K}) = 5.73 \\pm 0.19$ ($5.86 \\pm 0.20$), with little evidence for time variations of abundances within the evolution of each flare. Our previous estimates of...

  6. ONTHEGO TEXT ENTRY: EVALUATING AND IMPROVING MOBILE TEXT INPUT ON

    E-Print Network [OSTI]

    Starner, Thad E.

    ON­THE­GO TEXT ENTRY: EVALUATING AND IMPROVING MOBILE TEXT INPUT ON MINI­QWERTY KEYBOARDS A Thesis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xv I INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Thesis Statement-QWERTY KEYBOARDS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 4.1 Blind Typing in Real

  7. Face Interface : a methodology for experimental learning of input modalities

    E-Print Network [OSTI]

    Wetzel, Jon William

    2007-01-01T23:59:59.000Z

    This thesis demonstrates that creating a system with a visual representation of the face which mirrors the user's facial gestures appears to solve problems in teaching a user to use the new input affordances of face-based ...

  8. Adaptive Distributed Parameter and Input Estimation in Plasma Tokamak Heat

    E-Print Network [OSTI]

    Boyer, Edmond

    . Keywords: Thermonuclear fusion, distributed parameter systems, input state and parameter estimation, adaptive infinite-dimensional estimation, Galerkin method 1. INTRODUCTION In a controlled thermonuclear fusion reactor, the plasma thermal diffusivity and heating energy play an important role

  9. Operation of buck regulator with ultra-low input voltage

    E-Print Network [OSTI]

    Harris, Cory Angelo

    2014-01-01T23:59:59.000Z

    Based on the LTC3621 and LTC3624, the designed buck regulator proposed in this thesis aims to lower the allowed input voltage and increase efficiency compared to the original part without making significant changes to ...

  10. Graphene induced bifurcation of energy levels at low input power

    E-Print Network [OSTI]

    Li, Rujiang; Lin, Shisheng; Liu, Xu; Chen, Hongsheng

    2015-01-01T23:59:59.000Z

    We study analytically the energy states in the waveguide system of graphene coated dielectric nanowire based on the explicit form of nonlinear surface conductivity of graphene. The energy levels of different plasmonic modes can be tuned by the input power at the order of a few tenths of mW. The self-focusing behavior and self-defocusing behavior are exhibited in the lower and upper bifurcation branches, respectively, which are separated by a saturation of input power. Moreover, due to the nonlinearity of graphene, the dispersion relations for different input powers evolve to an energy band which is in sharp contrast with the discrete energy level in the limit of zero power input.

  11. Comparison of wind stress algorithms, datasets and oceanic power input

    E-Print Network [OSTI]

    Yuan, Shaoyu

    2009-01-01T23:59:59.000Z

    If the ocean is in a statistically steady state, energy balance is a strong constraint, suggesting that the energy input into the world ocean is dissipated simultaneously at the same rate. Energy conservation is one of the ...

  12. ac input power: Topics by E-print Network

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

    architecture was ... Salazar, Nathaniel Jay Tobias 2012-01-01 8 On the power of real Turing machines over binary inputs Mathematics Websites Summary: On the power of real Turing...

  13. additional power input: Topics by E-print Network

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

    pairs of channels. Motohisa Fukuda; Ion Nechita 2012-12-07 4 On the power of real Turing machines over binary inputs Mathematics Websites Summary: On the power of real Turing...

  14. U-139: IBM Tivoli Directory Server Input Validation Flaw | Department...

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

    can conduct cross-site scripting attacks PLATFORM: Version(s): 6.2, 6.3 ABSTRACT: The Web Admin Tool does not properly filter HTML code from user-supplied input before...

  15. anthropogenic lead inputs: Topics by E-print Network

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

    et al. Pb Brest, Universit de 6 GEOS-CHEM ANTHROPOGENIC EMISSIONS Table 1. Inventories general features. Use of optional inventories is set in the input.geos file....

  16. Process and Intermediate Calculations User AccessInputs Outputs

    E-Print Network [OSTI]

    Process and Intermediate Calculations User AccessInputs Outputs Fire Behavior & Probability STARFire System Flow Valuation Processing Temporal Schedules Smoke · Zones · Zone impact · Emissions Fire and compare Valuation (Structured Elicit Process) 1) Value Layers: · Point (housing, cultural trees, etc

  17. Analyzing the impacts of sales tax on agricultural inputs

    E-Print Network [OSTI]

    Lamar, Christina Helweg

    1992-01-01T23:59:59.000Z

    ANALYZING THE IMPACTS OF SALES TAX ON AGRICULTURAL INPUTS CHRISTINA HELWEG ~ Submitted to the Office of Graduate Studies of Texas AgtM University in partial fulSllment of the requirements for the degree of MASTER OF SCIENCE August 1992 Major... Subject: Agncultural Economics ABSTRACT Analyzing the Impacts of Sales Tax on Agricultural Inputs. (August 1992) Christina Helweg Lamar, B. S. , Texas AthM University Chair of Advisory Committee: Dr. Ronald Knutson With the increased demand...

  18. Information to iteration : using information and communication technologies [ICT] in design for remote regions

    E-Print Network [OSTI]

    Griffith, Kenfield A. (Kenfield Allistair)

    2012-01-01T23:59:59.000Z

    Remote design comes with significant challenges. A major barrier to designing in remote regions is the lack of communication between designers and users. As a result, the lack of information flow leads to assumptions about ...

  19. Technical assumption for Mo-99 production in the MARIA reactor. Feasibility study

    SciTech Connect (OSTI)

    Jaroszewicz, J.; Pytel, K.; Dabkowski, L.; Krzysztoszek, G. [Institute of Atomic Energy, 05-400 Otwock-Swierk (Poland)

    2008-07-15T23:59:59.000Z

    The main objective of U-235 irradiation is to obtain the Tc-99m isotope which is widely used in the domain of medical diagnostics. The decisive factor determining its availability, despite its short life time, is a reaction of radioactive decay of Mo-99 into Tc- 99m. One of the possible sources of molybdenum can be achieved in course of the U-235 fission reaction. The paper presents activities and the calculations results obtained upon the feasibility study on irradiation of U-235 targets for production of molybdenum in the MARIA reactor. The activities including technical assumption were focused on performing calculation for modelling of the target and irradiation device as well as adequate equipment and tools for processing in reactor. It has been assumed that the basic component of fuel charge is an aluminium cladded plate with dimensions of 40x230x1.45 containing 4.7 g U-235. The presumed mode of the heat removal generated in the fuel charge of the reactor primary cooling circuit influences the construction of installation to be used for irradiation and the technological instrumentation. The outer channel construction for irradiation has to be identical as the standard fuel channel construction of the MARIA reactor. It enables to use the existing slab and reactor mounting sockets for the fastening of the molybdenum channel as well as the cooling water delivery system. The measurement of water temperature cooling a fuel charge and control of water flow rate in the channel can also be carried out be means of the standard instrumentation of the reactor. (author)

  20. DUSTMS-D: DISPOSAL UNIT SOURCE TERM - MULTIPLE SPECIES - DISTRIBUTED FAILURE DATA INPUT GUIDE.

    SciTech Connect (OSTI)

    SULLIVAN, T.M.

    2006-01-01T23:59:59.000Z

    Performance assessment of a low-level waste (LLW) disposal facility begins with an estimation of the rate at which radionuclides migrate out of the facility (i.e., the source term). The focus of this work is to develop a methodology for calculating the source term. In general, the source term is influenced by the radionuclide inventory, the wasteforms and containers used to dispose of the inventory, and the physical processes that lead to release from the facility (fluid flow, container degradation, wasteform leaching, and radionuclide transport). Many of these physical processes are influenced by the design of the disposal facility (e.g., how the engineered barriers control infiltration of water). The complexity of the problem and the absence of appropriate data prevent development of an entirely mechanistic representation of radionuclide release from a disposal facility. Typically, a number of assumptions, based on knowledge of the disposal system, are used to simplify the problem. This has been done and the resulting models have been incorporated into the computer code DUST-MS (Disposal Unit Source Term-Multiple Species). The DUST-MS computer code is designed to model water flow, container degradation, release of contaminants from the wasteform to the contacting solution and transport through the subsurface media. Water flow through the facility over time is modeled using tabular input. Container degradation models include three types of failure rates: (a) instantaneous (all containers in a control volume fail at once), (b) uniformly distributed failures (containers fail at a linear rate between a specified starting and ending time), and (c) gaussian failure rates (containers fail at a rate determined by a mean failure time, standard deviation and gaussian distribution). Wasteform release models include four release mechanisms: (a) rinse with partitioning (inventory is released instantly upon container failure subject to equilibrium partitioning (sorption) with the waste form), (b) diffusion release.(release from either a cylindrical, spherical, or rectangular wasteform), (c) dissolution release (uniform release over time due to dissolution of the wasteform surface), and (d) solubility limited release. The predicated wasteform releases are corrected for radioactive decay and ingrowth. A unique set of container failure and wasteform release parameters can be specified for each control volume with a container. Contaminant transport is modeled through a finite-difference solution of the advective transport equation with sources (wasteform release and ingrowth) and radioactive decay. Although DUST-MS simulates one-dimensional transport, it can be used to simulate migration down to an aquifer and then transport in the aquifer by running the code twice. A special subroutine allows the flux into the aquifer from the first simulation to be input as the flux at the upstream boundary in the aquifer. This document presents the models used to calculate release from a disposal facility, verification of the model, and instructions on the use of the DUST-MS code. In addition to DUST-MS, a preprocessor, DUSTINMS, which helps the code user create input decks for DUST-MS and a post-processor, GRAFMS, which takes selected output files and plots them on the computer terminal have been written. Use of these codes is also described. In using DUST-MS, as with all computer models, the validity of the predictions relies heavily on the validity of the input parameters. Often, the largest uncertainties arise from uncertainty in the input parameters. Therefore, it is crucial to document and support the use of these parameters. The DUST-MS code, because of its flexibility and ability to compute release rates quickly, is extremely useful for screening to determine the radionuclide released at the highest rate, parameter sensitivity analysis and, with proper choice of the input parameters, provide upper bounds to release rates.

  1. The Effect of the Additivity Assumption on Time and Frequency Domain Wiener Filtering for Speech Enhancement

    E-Print Network [OSTI]

    under short-time analysis typi- cally used for speech enhancement. In order to achieve this we have performed speech enhancement experiments, where speech corrupted by additive white Gaussian noise degradation of enhanced speech quality. Informal listening tests show that the background noise resulting from

  2. approximate mesoscale information: Topics by E-print Network

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

    properly matching the input covariances to the dependence structure of the noise may lead to almost noiseless information transfer, even for intermediate values of the noise...

  3. Nonlinear quantum input-output analysis using Volterra series

    E-Print Network [OSTI]

    Jing Zhang; Yu-xi Liu; Re-Bing Wu; Kurt Jacobs; Sahin Kaya Ozdemir; Lan Yang; Tzyh-Jong Tarn; Franco Nori

    2014-08-04T23:59:59.000Z

    Quantum input-output theory plays a very important role for analyzing the dynamics of quantum systems, especially large-scale quantum networks. As an extension of the input-output formalism of Gardiner and Collet, we develop a new approach based on the quantum version of the Volterra series which can be used to analyze nonlinear quantum input-output dynamics. By this approach, we can ignore the internal dynamics of the quantum input-output system and represent the system dynamics by a series of kernel functions. This approach has the great advantage of modelling weak-nonlinear quantum networks. In our approach, the number of parameters, represented by the kernel functions, used to describe the input-output response of a weak-nonlinear quantum network, increases linearly with the scale of the quantum network, not exponentially as usual. Additionally, our approach can be used to formulate the quantum network with both nonlinear and nonconservative components, e.g., quantum amplifiers, which cannot be modelled by the existing methods, such as the Hudson-Parthasarathy model and the quantum transfer function model. We apply our general method to several examples, including Kerr cavities, optomechanical transducers, and a particular coherent feedback system with a nonlinear component and a quantum amplifier in the feedback loop. This approach provides a powerful way to the modelling and control of nonlinear quantum networks.

  4. The SCALE Verified, Archived Library of Inputs and Data - VALID

    SciTech Connect (OSTI)

    Marshall, William BJ J [ORNL] [ORNL; Rearden, Bradley T [ORNL] [ORNL

    2013-01-01T23:59:59.000Z

    The Verified, Archived Library of Inputs and Data (VALID) at ORNL contains high quality, independently reviewed models and results that improve confidence in analysis. VALID is developed and maintained according to a procedure of the SCALE quality assurance (QA) plan. This paper reviews the origins of the procedure and its intended purpose, the philosophy of the procedure, some highlights of its implementation, and the future of the procedure and associated VALID library. The original focus of the procedure was the generation of high-quality models that could be archived at ORNL and applied to many studies. The review process associated with model generation minimized the chances of errors in these archived models. Subsequently, the scope of the library and procedure was expanded to provide high quality, reviewed sensitivity data files for deployment through the International Handbook of Evaluated Criticality Safety Benchmark Experiments (IHECSBE). Sensitivity data files for approximately 400 such models are currently available. The VALID procedure and library continue fulfilling these multiple roles. The VALID procedure is based on the quality assurance principles of ISO 9001 and nuclear safety analysis. Some of these key concepts include: independent generation and review of information, generation and review by qualified individuals, use of appropriate references for design data and documentation, and retrievability of the models, results, and documentation associated with entries in the library. Some highlights of the detailed procedure are discussed to provide background on its implementation and to indicate limitations of data extracted from VALID for use by the broader community. Specifically, external users of data generated within VALID must take responsibility for ensuring that the files are used within the QA framework of their organization and that use is appropriate. The future plans for the VALID library include expansion to include additional experiments from the IHECSBE, to include experiments from areas beyond criticality safety, such as reactor physics and shielding, and to include application models. In the future, external SCALE users may also obtain qualification under the VALID procedure and be involved in expanding the library. The VALID library provides a pathway for the criticality safety community to leverage modeling and analysis expertise at ORNL.

  5. U.S. Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear JanYear Jan Feb MarFields34Decade Year-0 Year-1 Year-2Input

  6. Optical device with conical input and output prism faces

    DOE Patents [OSTI]

    Brunsden, Barry S. (Chicago, IL)

    1981-01-01T23:59:59.000Z

    A device for radially translating radiation in which a right circular cylinder is provided at each end thereof with conical prism faces. The faces are oppositely extending and the device may be severed in the middle and separated to allow access to the central part of the beam. Radiation entering the input end of the device is radially translated such that radiation entering the input end at the perimeter is concentrated toward the output central axis and radiation at the input central axis is dispersed toward the output perimeter. Devices are disclosed for compressing beam energy to enhance drilling techniques, for beam manipulation of optical spatial frequencies in the Fourier plane and for simplification of dark field and color contrast microscopy. Both refracting and reflecting devices are disclosed.

  7. Incorporating uncertainty in RADTRAN 6.0 input files.

    SciTech Connect (OSTI)

    Dennis, Matthew L.; Weiner, Ruth F.; Heames, Terence John (Alion Science and Technology)

    2010-02-01T23:59:59.000Z

    Uncertainty may be introduced into RADTRAN analyses by distributing input parameters. The MELCOR Uncertainty Engine (Gauntt and Erickson, 2004) has been adapted for use in RADTRAN to determine the parameter shape and minimum and maximum of the distribution, to sample on the distribution, and to create an appropriate RADTRAN batch file. Coupling input parameters is not possible in this initial application. It is recommended that the analyst be very familiar with RADTRAN and able to edit or create a RADTRAN input file using a text editor before implementing the RADTRAN Uncertainty Analysis Module. Installation of the MELCOR Uncertainty Engine is required for incorporation of uncertainty into RADTRAN. Gauntt and Erickson (2004) provides installation instructions as well as a description and user guide for the uncertainty engine.

  8. READ AND SIGN THE PARTIAL ASSUMPTION OF RISK ON REVERSE Risk Management 12/2012 Risk Management

    E-Print Network [OSTI]

    Oregon, University of

    READ AND SIGN THE PARTIAL ASSUMPTION OF RISK ON REVERSE Risk Management 12/2012 Risk Management Conditions of Volunteer Service Please send completed form to the Office of Risk Management: riskmanagement ___________________________________________ (name/title of department supervisor) and the Office of Risk Management, (541) 346-8316, within 24 hours

  9. Self-consistent input-output formulation of quantum feedback

    SciTech Connect (OSTI)

    Yanagisawa, M. [Department of Engineering, The Australian National University, Canberra, ACT 0200 (Australia); Hope, J. J. [Department of Quantum Science, The Australian National University, Canberra, ACT 0200 (Australia)

    2010-12-15T23:59:59.000Z

    A simple method of analyzing quantum feedback circuits is presented. The classical analysis of feedback circuits can be generalized to apply to quantum systems by mapping the field operators of various outputs to other inputs via the standard input-output formalism. Unfortunately, this has led to unphysical results such as the violation of the Heisenberg uncertainty principle for in-loop fields. This paper shows that this general approach can be redeemed by ensuring a self-consistently Hermitian Hamiltonian. The calculations are based on a noncommutative calculus of operator derivatives. A full description of several examples of quantum linear and nonlinear feedback for optical systems is presented.

  10. ETFOD: a point model physics code with arbitrary input

    SciTech Connect (OSTI)

    Rothe, K.E.; Attenberger, S.E.

    1980-06-01T23:59:59.000Z

    ETFOD is a zero-dimensional code which solves a set of physics equations by minimization. The technique used is different than normally used, in that the input is arbitrary. The user is supplied with a set of variables from which he specifies which variables are input (unchanging). The remaining variables become the output. Presently the code is being used for ETF reactor design studies. The code was written in a manner to allow easy modificaton of equations, variables, and physics calculations. The solution technique is presented along with hints for using the code.

  11. Total Refinery Net Input of Crude Oil and Petroleum Products

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota"YearProductionShaleInput Product:Input Product: Total

  12. Numerical solution of transient eddy current problems with input current intensities as boundary data

    E-Print Network [OSTI]

    RodrĂ­guez, Rodolfo

    Numerical solution of transient eddy current problems with input current intensities as boundary to solve transient eddy current problems with input current intensities as data, formulated in terms: Eddy current problems, time-dependent electromagnetic problems, input current intensities, finite

  13. PREDICTING THE TIME RESPONSE OF A BUILDING UNDER HEAT INPUT CONDITIONS FOR ACTIVE SOLAR HEATING SYSTEMS

    E-Print Network [OSTI]

    Warren, Mashuri L.

    2013-01-01T23:59:59.000Z

    OF A BUILDING UNDER HEAT INPUT CONDITIONS FOR ACTIVE SOLAROF A BUILDING UNDER HEAT INPUT CONDITIONS FOR ACTIVE SOLARbuilding to changes in heat input, and to predict room and

  14. What are the Starting Points? Evaluating Base-Year Assumptions in the Asian Modeling Exercise

    SciTech Connect (OSTI)

    Chaturvedi, Vaibhav; Waldhoff, Stephanie; Clarke, Leon E.; Fujimori, Shinichiro

    2012-12-01T23:59:59.000Z

    A common feature of model inter-comparison efforts is that the base year numbers for important parameters such as population and GDP can differ substantially across models. This paper explores the sources and implications of this variation in Asian countries across the models participating in the Asian Modeling Exercise (AME). Because the models do not all have a common base year, each team was required to provide data for 2005 for comparison purposes. This paper compares the year 2005 information for different models, noting the degree of variation in important parameters, including population, GDP, primary energy, electricity, and CO2 emissions. It then explores the difference in these key parameters across different sources of base-year information. The analysis confirms that the sources provide different values for many key parameters. This variation across data sources and additional reasons why models might provide different base-year numbers, including differences in regional definitions, differences in model base year, and differences in GDP transformation methodologies, are then discussed in the context of the AME scenarios. Finally, the paper explores the implications of base-year variation on long-term model results.

  15. Optimal linear control systems with input derivative constraints

    E-Print Network [OSTI]

    Moore, John Barratt

    . Optimal linear control systems with input derivative constraints J. B. Moore, Ph. D., and Prof. B-loss-function minimisation problem is linear. The "paper applies the results of this optimal control theory to a class of performance desired. For linear, finite-dimensional, completely controllable systems, Kalmanl has shown

  16. Gaussian Process Training with Input Noise Andrew McHutchon

    E-Print Network [OSTI]

    Edinburgh, University of

    University Cambridge, CB2 1PZ ajm257@cam.ac.uk Carl Edward Rasmussen Department of Engineering Cambridge University Cambridge, CB2 1PZ cer54@cam.ac.uk Abstract In standard Gaussian Process regression input intuitive sense: for example, an application in Rasmussen and Williams (2006) [1] is that of modelling CO2

  17. Power Control for Discrete-Input Block-Fading Channels

    E-Print Network [OSTI]

    Guillén i Fàbregas, Albert

    . K. Rasmussen CUED / F-INFENG / TR 582 August 2007 #12;#12;1 Power Control for Discrete-Input Block-Fading Channels Khoa D. Nguyen, Albert Guill´en i F`abregas and Lars K. Rasmussen Abstract We consider power systems employing orthogonal frequency division multiplexing. K. D. Nguyen and L. K. Rasmussen

  18. Input Design for Nonlinear Stochastic Dynamic Systems -A Particle Filter

    E-Print Network [OSTI]

    Schön, Thomas

    Input Design for Nonlinear Stochastic Dynamic Systems - A Particle Filter Approach R. Bhushan in nonlinear stochastic dynamic systems. The approach relies on minimizing a function of the covariance]). There has also been work done on obtaining finite sam- ple covariance estimates (Weyer et al. [1999], Weyer

  19. CO2 enrichment increases carbon and nitrogen input from

    E-Print Network [OSTI]

    CO2 enrichment increases carbon and nitrogen input from fine roots in a deciduous forest Colleen2 Ecological Society of America, 2008 #12;#12;#12;#12;#12;+ [CO2] #12;+ Net primary production + [CO2] #12;+ Net primary production + [CO2] + C and N storage in biomass #12;+ Net primary production

  20. CHARACTERIZATION OF VIBRATIONINDUCED IMAGE DEFECTS IN INPUT SCANNERS

    E-Print Network [OSTI]

    Wolberg, George

    ) by dynamic errors of gears, timing bets, and motors, and indirectly by structural vibrations induced by gearsCHARACTERIZATION OF VIBRATION­INDUCED IMAGE DEFECTS IN INPUT SCANNERS Robert P. Loce George Wolberg. Keywords: image defects, digital documents, scanned documents, vibrations, motion quality 1. INTRODUCTION

  1. Power Control for Crossbar-based Input-Queued Switches

    E-Print Network [OSTI]

    , if f is the maximum digital signal frequency, the power consumption of a CMOS device is proportional number of data simultaneously flowing across the switching fabric. Thermal power dissipation is becoming1 Power Control for Crossbar-based Input-Queued Switches Andrea Bianco, Paolo Giaccone, Guido

  2. FULL FUEL CYCLE ASSESSMENT WELL TO WHEELS ENERGY INPUTS,

    E-Print Network [OSTI]

    FULL FUEL CYCLE ASSESSMENT WELL TO WHEELS ENERGY INPUTS, EMISSIONS, AND WATER IMPACTS Preparation for the AB 1007 (Pavley) Alternative Transportation Fuels Plan Proceeding Prepared For: California Energy, Project Manager Ray Tuvell, Manager EMERGING FUELS & TECHNOLOGY OFFICE Rosella Shapiro, Deputy Director

  3. FULL FUEL CYCLE ASSESSMENT WELL TO TANK ENERGY INPUTS,

    E-Print Network [OSTI]

    FULL FUEL CYCLE ASSESSMENT WELL TO TANK ENERGY INPUTS, EMISSIONS, AND WATER IMPACTS Prepared For Manager McKinley Addy, Project Manager Ray Tuvell, Manager EMERGING FUELS & TECHNOLOGY OFFICE Rosella Shapiro, Deputy Director FUELS AND TRANSPORTATION DIVISION B.B Blevins Executive Director DISCLAIMER

  4. 11-14 An ideal vapor-compression refrigeration cycle with refrigerant-134a as the working fluid is considered. The rate of heat removal from the refrigerated space, the power input to the compressor, the rate of heat rejection to the environment,

    E-Print Network [OSTI]

    Kostic, Milivoje M.

    to the compressor, the rate of heat rejection to the environment, and the COP are to be determined. Assumptions 1 enters the compressor as a saturated vapor at the evaporator pressure, and leaves the condenser space and the power input to the compressor are determined from s and ( ) ( )( ) ( ) ( )( ) kW1.83 kW7

  5. U-050: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    Flex applications created using the Flex SDK may not properly filter HTML code from user-supplied input before displaying the input.

  6. DOE Seeks Public Input on an Integrated, Interagency Pre-Application...

    Energy Savers [EERE]

    Seeks Public Input on an Integrated, Interagency Pre-Application Process for Transmission Authorizations DOE Seeks Public Input on an Integrated, Interagency Pre-Application...

  7. Information encoder/decoder using chaotic systems

    DOE Patents [OSTI]

    Miller, S.L.; Miller, W.M.; McWhorter, P.J.

    1997-10-21T23:59:59.000Z

    The present invention discloses a chaotic system-based information encoder and decoder that operates according to a relationship defining a chaotic system. Encoder input signals modify the dynamics of the chaotic system comprising the encoder. The modifications result in chaotic, encoder output signals that contain the encoder input signals encoded within them. The encoder output signals are then capable of secure transmissions using conventional transmission techniques. A decoder receives the encoder output signals (i.e., decoder input signals) and inverts the dynamics of the encoding system to directly reconstruct the original encoder input signals. 32 figs.

  8. Information encoder/decoder using chaotic systems

    DOE Patents [OSTI]

    Miller, Samuel Lee (Albuquerque, NM); Miller, William Michael (Tijeras, NM); McWhorter, Paul Jackson (Albuquerque, NM)

    1997-01-01T23:59:59.000Z

    The present invention discloses a chaotic system-based information encoder and decoder that operates according to a relationship defining a chaotic system. Encoder input signals modify the dynamics of the chaotic system comprising the encoder. The modifications result in chaotic, encoder output signals that contain the encoder input signals encoded within them. The encoder output signals are then capable of secure transmissions using conventional transmission techniques. A decoder receives the encoder output signals (i.e., decoder input signals) and inverts the dynamics of the encoding system to directly reconstruct the original encoder input signals.

  9. Informing design decisions : an approach to corporate building design

    E-Print Network [OSTI]

    Maxwell, Marc A

    1985-01-01T23:59:59.000Z

    This thesis is an investigation into design methodologies. How do we, as designers, prepare ourselves for decision making and evaluate our assumptions and decisions? The intent is to employ this information as a basis for ...

  10. Microchannel cross load array with dense parallel input

    DOE Patents [OSTI]

    Swierkowski, Stefan P.

    2004-04-06T23:59:59.000Z

    An architecture or layout for microchannel arrays using T or Cross (+) loading for electrophoresis or other injection and separation chemistry that are performed in microfluidic configurations. This architecture enables a very dense layout of arrays of functionally identical shaped channels and it also solves the problem of simultaneously enabling efficient parallel shapes and biasing of the input wells, waste wells, and bias wells at the input end of the separation columns. One T load architecture uses circular holes with common rows, but not columns, which allows the flow paths for each channel to be identical in shape, using multiple mirror image pieces. Another T load architecture enables the access hole array to be formed on a biaxial, collinear grid suitable for EDM micromachining (square holes), with common rows and columns.

  11. Regression Given input data (features), predict value of a

    E-Print Network [OSTI]

    Giger, Christine

    ^ = (XX> ) 1 Xy etc. #12;! · Many relations are not linear · The complete graph Non-linear regression #12;! · Need to fit non-linear functions · example: polynomials Non-linear regression y = 6 10000 x5 82 10000 x) the dimension of the inputs · After applying z(x), we fit a plane in 3D-space Non-linear regression y = 0 + 1x

  12. Regression Given input data (features), predict value of a

    E-Print Network [OSTI]

    Giger, Christine

    · The complete graph Non-linear regression #12;· Need to fit non-linear functions · example: polynomials Non-linear of the inputs · After applying z(x), we fit a plane in 3D-space Non-linear regression y = 0 + 1x + 2x2 z(x) = 1 x x2 #12;x y x2 regression from x to y, non-linear lifting from x to z=[x x2] regression from [x x2

  13. Thorough analysis of input physics in CESAM and CLES codes

    E-Print Network [OSTI]

    Josefina Montalban; Yveline Lebreton; Andrea Miglio; Richard Scuflaire; Pierre Morel; Arlette Noels

    2008-04-14T23:59:59.000Z

    This contribution is not about the quality of the agreement between stellar models computed by CESAM and CLES codes, but more interesting, on what ESTA-Task~1 run has taught us about these codes and about the input physics they use. We also quantify the effects of different implementations of the same physics on the seismic properties of the stellar models, that in fact is the main aim of ESTA experiments.

  14. Environmental Transport Input Parameters for the Biosphere Model

    SciTech Connect (OSTI)

    M. Wasiolek

    2004-09-10T23:59:59.000Z

    This analysis report is one of the technical reports documenting the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the total system performance assessment for the license application (TSPA-LA) for the geologic repository at Yucca Mountain. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows relationships among the reports developed for biosphere modeling and biosphere abstraction products for the TSPA-LA, as identified in the ''Technical Work Plan for Biosphere Modeling and Expert Support'' (BSC 2004 [DIRS 169573]) (TWP). This figure provides an understanding of how this report contributes to biosphere modeling in support of the license application (LA). This report is one of the five reports that develop input parameter values for the biosphere model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes the conceptual model and the mathematical model. The input parameter reports, shown to the right of the Biosphere Model Report in Figure 1-1, contain detailed description of the model input parameters. The output of this report is used as direct input in the ''Nominal Performance Biosphere Dose Conversion Factor Analysis'' and in the ''Disruptive Event Biosphere Dose Conversion Factor Analysis'' that calculate the values of biosphere dose conversion factors (BDCFs) for the groundwater and volcanic ash exposure scenarios, respectively. The purpose of this analysis was to develop biosphere model parameter values related to radionuclide transport and accumulation in the environment. These parameters support calculations of radionuclide concentrations in the environmental media (e.g., soil, crops, animal products, and air) resulting from a given radionuclide concentration at the source of contamination (i.e., either in groundwater or in volcanic ash). The analysis was performed in accordance with the TWP (BSC 2004 [DIRS 169573]).

  15. Bubbles as tracers of heat input to cooling flows

    E-Print Network [OSTI]

    J. Binney; F. Alouani Bibi; H. Omma

    2007-01-31T23:59:59.000Z

    We examine the distribution of injected energy in three-dimensional, adaptive-grid simulations of the heating of cooling flows. We show that less than 10 percent of the injected energy goes into bubbles. Consequently, the energy input from the nucleus is underestimated by a factor of order 6 when it is taken to be given by PVgamma/(gamma-1), where P and V are the pressure and volume of the bubble, and gamma the ratio of principal specific heats.

  16. Maintaining secrecy when information leakage is unavoidable

    E-Print Network [OSTI]

    Smith, Adam (Adam Davidson), 1977-

    2004-01-01T23:59:59.000Z

    (cont.) We apply the framework to get new results, creating (a) encryption schemes with very short keys, and (b) hash functions that leak no information about their input, yet-paradoxically-allow testing if a candidate ...

  17. Method of validating measurement data of a process parameter from a plurality of individual sensor inputs

    DOE Patents [OSTI]

    Scarola, Kenneth (Windsor, CT); Jamison, David S. (Windsor, CT); Manazir, Richard M. (North Canton, CT); Rescorl, Robert L. (Vernon, CT); Harmon, Daryl L. (Enfield, CT)

    1998-01-01T23:59:59.000Z

    A method for generating a validated measurement of a process parameter at a point in time by using a plurality of individual sensor inputs from a scan of said sensors at said point in time. The sensor inputs from said scan are stored and a first validation pass is initiated by computing an initial average of all stored sensor inputs. Each sensor input is deviation checked by comparing each input including a preset tolerance against the initial average input. If the first deviation check is unsatisfactory, the sensor which produced the unsatisfactory input is flagged as suspect. It is then determined whether at least two of the inputs have not been flagged as suspect and are therefore considered good inputs. If two or more inputs are good, a second validation pass is initiated by computing a second average of all the good sensor inputs, and deviation checking the good inputs by comparing each good input including a present tolerance against the second average. If the second deviation check is satisfactory, the second average is displayed as the validated measurement and the suspect sensor as flagged as bad. A validation fault occurs if at least two inputs are not considered good, or if the second deviation check is not satisfactory. In the latter situation the inputs from each of all the sensors are compared against the last validated measurement and the value from the sensor input that deviates the least from the last valid measurement is displayed.

  18. Evaluation of severe accident risks: Quantification of major input parameters: MAACS (MELCOR Accident Consequence Code System) input

    SciTech Connect (OSTI)

    Sprung, J.L.; Jow, H-N (Sandia National Labs., Albuquerque, NM (USA)) [Sandia National Labs., Albuquerque, NM (USA); Rollstin, J.A. (GRAM, Inc., Albuquerque, NM (USA)) [GRAM, Inc., Albuquerque, NM (USA); Helton, J.C. (Arizona State Univ., Tempe, AZ (USA)) [Arizona State Univ., Tempe, AZ (USA)

    1990-12-01T23:59:59.000Z

    Estimation of offsite accident consequences is the customary final step in a probabilistic assessment of the risks of severe nuclear reactor accidents. Recently, the Nuclear Regulatory Commission reassessed the risks of severe accidents at five US power reactors (NUREG-1150). Offsite accident consequences for NUREG-1150 source terms were estimated using the MELCOR Accident Consequence Code System (MACCS). Before these calculations were performed, most MACCS input parameters were reviewed, and for each parameter reviewed, a best-estimate value was recommended. This report presents the results of these reviews. Specifically, recommended values and the basis for their selection are presented for MACCS atmospheric and biospheric transport, emergency response, food pathway, and economic input parameters. Dose conversion factors and health effect parameters are not reviewed in this report. 134 refs., 15 figs., 110 tabs.

  19. Toward a Theory of Information Processing Sinan Sinanovic and Don H. Johnson

    E-Print Network [OSTI]

    theory and statistical signal processing. This preliminary theory com- plements classic information, by acting on signals, process information. We use information-theoretic distance measures, the Kullback a system's output and input quantifies the system's informationprocessing properties. Using this approach

  20. FTK Input Mezzanine and Data Formatter for the Fast Tracker at ATLAS

    E-Print Network [OSTI]

    Iizawa, Tomoya; The ATLAS collaboration

    2015-01-01T23:59:59.000Z

    The Fast Tracker (FTK) is an integral part of trigger upgrade program for the ATLAS detector. LHC Run 2 restarts operations in March 2015 at a center of mass energy of 13 TeV and an average of 40-50 simultaneous proton collisions per beam crossing. The higher luminosity demands a more sophisticated trigger system with increased use of tracking information. However, the combinatorial problem posed by charged particle tracking becomes increasingly difficult due to the large number of multiple interactions per bunch crossing. The Fast Tracker (FTK) is a highly-parallel hardware system that rapidly finds and reconstructs tracks in the ATLAS inner detector for every event that passes the Level-1 trigger at a maximum event rate of 100 kHz. This paper focuses on the FTK Input Mezzanine card (FTK IM) and Data Formatter (DF) boards that are the input interface and the first processing stage of the FTK system. The board design, combined test results, and production status are reported.

  1. Analysis of the Effects of Compositional and Configurational Assumptions on Product Costs for the Thermochemical Conversion of Lignocellulosic Biomass to Mixed Alcohols – FY 2007 Progress Report

    SciTech Connect (OSTI)

    Zhu, Yunhua; Gerber, Mark A.; Jones, Susanne B.; Stevens, Don J.

    2009-02-01T23:59:59.000Z

    The purpose of this study was to examine alternative biomass-to-ethanol conversion process assumptions and configuration options to determine their relative effects on overall process economics. A process-flow-sheet computer model was used to determine the heat and material balance for each configuration that was studied. The heat and material balance was then fed to a costing spreadsheet to determine the impact on the ethanol selling price. By examining a number of operational and configuration alternatives and comparing the results to the base flow sheet, alternatives having the greatest impact the performance and cost of the overall system were identified and used to make decisions on research priorities. This report, which was originally published in December 2008, has been revised primarily to correct information presented in Appendix B -- Base Case Flow Sheets and Model Results. The corrections to Appendix B include replacement of several pages in Table B.1 that duplicated previous pages of the table. Other changes were made in Appendix B to correct inconsistencies between stream labels presented in the tables and the stream labels in the figures.

  2. Summary of Input to DOE Request for Information DE-PS36-08GO38002...

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

    More Documents & Publications Greenpower Trap Mufflerl System BILIWG: Consistent "Figures of Merit" (Presentation) Heating Ventilation and Air Conditioning Efficiency...

  3. DEPARTMENT OF ENERGY SOLICITS PUBLIC INPUT TO INFORM DEVELOPMENT OF A

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3DepartmentENERGYOffice

  4. Investigation of fNIRS Brain Sensing as Input to Information Filtering Systems

    E-Print Network [OSTI]

    Jacob, Robert J.K.

    University evan.peck@tufts.edu Daniel Afergan Tufts University afergan@cs.tufts.edu Robert J.K. Jacob Tufts University jacob@cs.tufts.edu ABSTRACT Today's users interact with an increasing amount of infor- mation advantage and that copies bear this notice and the full citation on the first page. To copy otherwise

  5. US Nuclear Regulatory Commission Input to DOE Request for Information Smart

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2Uranium Transferon theTedRegionCleanofDepartmentAppsAdvancedGrid Implementation

  6. US Nuclear Regulatory Commission Input to DOE Request for Information Smart

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and Battery TechnologyDepartmentIndia Joint Center forGrid

  7. Summary of Input to DOE Request for Information DE-FOA-0000225 | Department

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideoStrategic Safety Goals StrategictheEnergy 4,Department ofGapsof

  8. Summary of Input to DOE Request for Information DE-PS36-08GO38002

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideoStrategic Safety Goals StrategictheEnergy 4,Department

  9. Inhalation Exposure Input Parameters for the Biosphere Model

    SciTech Connect (OSTI)

    M. Wasiolek

    2006-06-05T23:59:59.000Z

    This analysis is one of the technical reports that support the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), referred to in this report as the biosphere model. ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the conceptual model as well as the mathematical model and its input parameters. This report documents development of input parameters for the biosphere model that are related to atmospheric mass loading and supports the use of the model to develop biosphere dose conversion factors (BDCFs). The biosphere model is one of a series of process models supporting the total system performance assessment (TSPA) for a Yucca Mountain repository. ''Inhalation Exposure Input Parameters for the Biosphere Model'' is one of five reports that develop input parameters for the biosphere model. A graphical representation of the documentation hierarchy for the biosphere model is presented in Figure 1-1 (based on BSC 2006 [DIRS 176938]). This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and how this analysis report contributes to biosphere modeling. This analysis report defines and justifies values of atmospheric mass loading for the biosphere model. Mass loading is the total mass concentration of resuspended particles (e.g., dust, ash) in a volume of air. Mass loading values are used in the air submodel of the biosphere model to calculate concentrations of radionuclides in air inhaled by a receptor and concentrations in air surrounding crops. Concentrations in air to which the receptor is exposed are then used in the inhalation submodel to calculate the dose contribution to the receptor from inhalation of contaminated airborne particles. Concentrations in air surrounding plants are used in the plant submodel to calculate the concentrations of radionuclides in foodstuffs contributed from uptake by foliar interception. This report is concerned primarily with the physical attributes of airborne particulate matter, such as the airborne concentrations of particles and their sizes. The conditions of receptor exposure (duration of exposure in various microenvironments), breathing rates, and dosimetry of inhaled particulates are discussed in more detail in ''Characteristics of the Receptor for the Biosphere Model'' (BSC 2005 [DIRS 172827]).

  10. Analyzing the impacts of sales tax on agricultural inputs 

    E-Print Network [OSTI]

    Lamar, Christina Helweg

    1992-01-01T23:59:59.000Z

    the needed revenue. Of the options analyzed, the imposition of a sales tax on previously exempted agricultural inputs was introduced. The purposes of this study were to estimate the impact of the loss of the saks tax exemption relative to a state income... budget shortfall in the 1992-93 biennium for the first time in its history. This situation caused legislators to consider possil&le options to raise the needed revenue. Of the options analyzed, the imposition of a sales tax on previously exempted...

  11. Refinery & Blenders Net Input of Crude Oil

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21 andNov-14Input

  12. Connecticut Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at CommercialDecadeReservesYear21Company LevelInput Supplemental

  13. Delaware Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at CommercialDecadeReservesYear21CompanySFoot) Year JanYearInput

  14. Florida Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688Electricity UseFoot) Year Jan Feb Mar AprYear JanInput

  15. Hawaii Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLess than 200Decade Year-0Year Jan Feb MarInput

  16. Iowa Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLessApril 2015Year JanFoot) YearYearInput

  17. New Hampshire Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough,Cubic Foot) DecadeYear JanInput

  18. New York Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office(Billion CubicProductionFoot)Input Supplemental

  19. North Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office(BillionYear Jan Feb Mar Apr May1.878Input Supplemental

  20. North Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office(BillionYear Jan Feb Mar AprYearof OthersYearInput

  1. Rhode Island Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source:Additions to Capacity ForYear Jan Feb Mar Apr May Jun JulInput

  2. Arkansas Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at CommercialDecade Year-0 Year-1Year% ofInput Supplemental Fuels

  3. Table 3. U.S. Inputs to biodiesel production

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total Delivered Residentialtight oilU.S. Inputs to

  4. Massachusetts Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYearUndergroundCubic Feet) Year Jan Feb MarInput

  5. Minnesota Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2Imports (NoYearInput

  6. Additivity of Entangled Channel Capacity for Quantum Input States

    E-Print Network [OSTI]

    V. P. Belavkin; X. Dai

    2007-02-10T23:59:59.000Z

    An elementary introduction into algebraic approach to unified quantum information theory and operational approach to quantum entanglement as generalized encoding is given. After introducing compound quantum state and two types of informational divergences, namely, Araki-Umegaki (a-type) and of Belavkin-Staszewski (b-type) quantum relative entropic information, this paper treats two types of quantum mutual information via entanglement and defines two types of corresponding quantum channel capacities as the supremum via the generalized encodings. It proves the additivity property of quantum channel capacities via entanglement, which extends the earlier results of V. P. Belavkin to products of arbitrary quantum channels for quantum relative entropy of any type.

  7. Input-output multiplier distributions from probabilistic production paths

    SciTech Connect (OSTI)

    Konecny, R.T.

    1987-01-01T23:59:59.000Z

    In the standard Leontief input-output model, a single dominant technology is assumed in the production of a particular commodity. However, in the real world, quite similar commodities are produced by firms with vastly different technologies. In addressing this limitation, the Probabilistic Production Path model (PPP) is used to investigate both the method of production and identity of the producer. An important feature of the PPP model is the consideration of the effects that heterogeneous technologies and dissimilar trade patterns have on the properties of the distribution of input-output multipliers. The derivation of the distribution of output multipliers is generalized for discrete probabilities based on market shares. Due to the complexity of the generalized solution, a simulation model is used to approximate the multiplier distribution. Results of the model show that the distributional properties of the multipliers are unpredictable, with the majority of the distributions being multimodal. Typically, the mean of the multipliers lies in a trough between two modes. Multimodal multiplier distributions were found to have a tighter symmetric interval than the corresponding standard normal confidence interval. Therefore, the use of the normal confidence interval appears to be sufficient, though overstated, for the construction of confidence intervals in the PPP model.

  8. RF Input Power Couplers for High Current SRF Applications

    SciTech Connect (OSTI)

    Khan, V. F. [Helmholtz Zentrum Berlin, Germany; Anders, W. [Helmholtz Zentrum Berlin, Germany; Burrill, Andrew [Helmholtz Zentrum Berlin, Germany; Knobloch, Jens [Helmholtz Zentrum Berlin, Germany; Kugeler, Oliver [Helmholtz Zentrum Berlin, Germany; Neumann, Axel [Helmholtz Zentrum Berlin, Germany; Wang, Haipeng [JLAB

    2014-12-01T23:59:59.000Z

    High current SRF technology is being explored in present day accelerator science. The bERLinPro project is presently being built at HZB to address the challenges involved in high current SRF machines with the goal of generating and accelerating a 100 mA electron beam to 50 MeV in continuous wave (cw) mode at 1.3 GHz. One of the main challenges in this project is that of handling the high input RF power required for the photo-injector as well as booster cavities where there is no energy recovery process. A high power co-axial input power coupler is being developed to be used for the photo-injector and booster cavities at the nominal beam current. The coupler is based on the KEK–cERL design and has been modified to minimise the penetration of the coupler tip in the beam pipe without compromising on beam-power coupling (Qext ~105). Herein we report on the RF design of the high power (115 kW per coupler, dual couplers per cavity) bERLinPro (BP) coupler along with initial results on thermal calculations. We summarise the RF conditioning of the TTF-III couplers (modified for cw operation) performed in the past at BESSY/HZB. A similar conditioning is envisaged in the near future for the low current SRF photo-injector and the bERLinPro main linac cryomodule.

  9. 231A. Hernndez-Sols et al. / Annals of Nuclear Energy 57 (2013) 230245 Lattice calculations use nuclear libraries as input basis data,

    E-Print Network [OSTI]

    Demazière, Christophe

    #12;231A. Hernández-Solís et al. / Annals of Nuclear Energy 57 (2013) 230­245 Lattice calculations use nuclear libraries as input basis data, describing the properties of nuclei and the fundamental/or estimated values from nuclear physics models are the source of information of these libraries. Because

  10. Soil-related Input Parameters for the Biosphere Model

    SciTech Connect (OSTI)

    A. J. Smith

    2003-07-02T23:59:59.000Z

    This analysis is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the geologic repository at Yucca Mountain. The biosphere model is one of a series of process models supporting the Total System Performance Assessment (TSPA) for the Yucca Mountain repository. A graphical representation of the documentation hierarchy for the ERMYN biosphere model is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling, and the plan for development of the biosphere abstraction products for TSPA, as identified in the ''Technical Work Plan: for Biosphere Modeling and Expert Support'' (BSC 2003 [163602]). It should be noted that some documents identified in Figure 1-1 may be under development at the time this report is issued and therefore not available. This figure is included to provide an understanding of how this analysis report contributes to biosphere modeling in support of the license application, and is not intended to imply that access to the listed documents is required to understand the contents of this report. This report, ''Soil Related Input Parameters for the Biosphere Model'', is one of the five analysis reports that develop input parameters for use in the ERMYN model. This report is the source documentation for the six biosphere parameters identified in Table 1-1. ''The Biosphere Model Report'' (BSC 2003 [160699]) describes in detail the conceptual model as well as the mathematical model and its input parameters. The purpose of this analysis was to develop the biosphere model parameters needed to evaluate doses from pathways associated with the accumulation and depletion of radionuclides in the soil. These parameters support the calculation of radionuclide concentrations in soil from on-going irrigation and ash deposition and, as a direct consequence, radionuclide concentration in resuspended particulate matter in the atmosphere. The analysis was performed in accordance with the technical work plan for the biosphere modeling and expert support (TWP) (BSC 2003 [163602]). This analysis revises the previous one titled ''Evaluate Soil/Radionuclide Removal by Erosion and Leaching'' (CRWMS M&O 2001 [152517]). In REV 00 of this report, the data generated were fixed (i.e., taking no account of uncertainty and variability) values. This revision incorporates uncertainty and variability into the values for the bulk density, elemental partition coefficients, average annual loss of soil from erosion, resuspension enhancement factor, and field capacity water content.

  11. Phase Noise in MIMO Systems: Bayesian Cramer-Rao Bounds and Soft-Input Estimation

    E-Print Network [OSTI]

    Nasir, Ali A; Mehrpouyan, Hani; Schober, Robert; Hua, Yingbo

    2013-01-01T23:59:59.000Z

    for a 4 4 MIMO system, the proposed soft-input EKF-EKSin MIMO Systems: Bayesian Cramér–Rao Bounds and Soft-Inputof a MIMO system employing the proposed soft-input EKF-EKS

  12. Spatial Interference Mitigation for Multiple Input Multiple Output Ad Hoc Networks: MISO Gains

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Spatial Interference Mitigation for Multiple Input Multiple Output Ad Hoc Networks: MISO Gains beamforming for a multiple input single output (MISO) ad hoc network to increase the density of successful

  13. V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting...

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

    4: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks April 2, 2013 - 1:13am Addthis...

  14. Calibration of a Distributed Flood Forecasting Model with Input Uncertainty Using a Bayesian Framework

    E-Print Network [OSTI]

    Hubbard, Susan

    Calibration of a Distributed Flood Forecasting Model with Input Uncertainty Using a Bayesian, Berkeley, CA, United States. In the process of calibrating distributed hydrological models, accounting in calibrating GBHM parameters and in estimating their associated uncertainty. The calibration ignoring input

  15. Methods for Rapid Estimation of Motor Input Power in HVAC Assessments

    E-Print Network [OSTI]

    Christman, Kevin D.

    2011-08-08T23:59:59.000Z

    In preliminary building energy assessments, it is often desired to estimate a motor's input power. Motor power estimates in this context should be rapid, safe, and noninvasive. Existing methods for motor input power estimation, such as direct...

  16. BETO Seeks Stakeholder Input on the Use of Advanced Biofuel Blends...

    Energy Savers [EERE]

    BETO Seeks Stakeholder Input on the Use of Advanced Biofuel Blends in Small Engines BETO Seeks Stakeholder Input on the Use of Advanced Biofuel Blends in Small Engines June 22,...

  17. The design of efficient input circuits for class C amplifiers

    E-Print Network [OSTI]

    Fristoe, Harold T.

    1953-01-01T23:59:59.000Z

    the design of efficient input circuits for c u s s c amplifiers t heddsigngeof cpi utramh lX jr?cla? t??io?s? nd go dg??s nf? ?ofgsfg ??e usn? o? ??s?gie?n? ?f?efssief? hs?nig ?sfg theds igno lu? h?c??? fc ?jj?????l ????l ??r???lc jar ??cc...????????cXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX ?? ?X ?a??m?c?a?cXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX ?? t??sf?e? ? ? c???ni? o? g?s hsde?f ?io?s??is ? ? ? ? ? ? ? ? ? ? ?? m?cl aj j???r?c je??is ?n?s ?X l?s ?ofdgnfg ??iisfg ?ofdgi??geof ?oi hsgsi?efef? ??ndd ? a...

  18. Soil-Related Input Parameters for the Biosphere Model

    SciTech Connect (OSTI)

    A. J. Smith

    2004-09-09T23:59:59.000Z

    This report presents one of the analyses that support the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN). The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes the details of the conceptual model as well as the mathematical model and the required input parameters. The biosphere model is one of a series of process models supporting the postclosure Total System Performance Assessment (TSPA) for the Yucca Mountain repository. A schematic representation of the documentation flow for the Biosphere input to TSPA is presented in Figure 1-1. This figure shows the evolutionary relationships among the products (i.e., analysis and model reports) developed for biosphere modeling, and the biosphere abstraction products for TSPA, as identified in the ''Technical Work Plan for Biosphere Modeling and Expert Support'' (TWP) (BSC 2004 [DIRS 169573]). This figure is included to provide an understanding of how this analysis report contributes to biosphere modeling in support of the license application, and is not intended to imply that access to the listed documents is required to understand the contents of this report. This report, ''Soil-Related Input Parameters for the Biosphere Model'', is one of the five analysis reports that develop input parameters for use in the ERMYN model. This report is the source documentation for the six biosphere parameters identified in Table 1-1. The purpose of this analysis was to develop the biosphere model parameters associated with the accumulation and depletion of radionuclides in the soil. These parameters support the calculation of radionuclide concentrations in soil from on-going irrigation or ash deposition and, as a direct consequence, radionuclide concentration in other environmental media that are affected by radionuclide concentrations in soil. The analysis was performed in accordance with the TWP (BSC 2004 [DIRS 169573]) where the governing procedure was defined as AP-SIII.9Q, ''Scientific Analyses''. This analysis revises the previous version with the same name (BSC 2003 [DIRS 161239]), which was itself a revision of one titled ''Evaluate Soil/Radionuclide Removal by Erosion and Leaching'' (CRWMS M&O 2001 [DIRS 152517]). In Revision 00 of this report, the data generated were fixed values (i.e., taking no account of uncertainty and variability). Revision 01 (BSC 2003 [DIRS 161239]) incorporated uncertainty and variability into the values for the bulk density, elemental partition coefficients, average annual loss of soil from erosion, resuspension enhancement factor, and field capacity water content. The current revision of this document improves the transparency and traceability of the products without changing the details of the analysis. This analysis report supports the treatment of six of the features, events, and processes (FEPs) applicable to the Yucca Mountain reference biosphere (DTN: MO0407SEPFEPLA.000 [DIRS 170760]). The use of the more recent FEP list in DTN: MO0407SEPFEPLA.000 [DIRS 170760] represents a deviation from the detail provided in the TWP (BSC 2004 [DIRS 169573]), which referenced a previous version of the FEP list. The parameters developed in this report support treatment of these six FEPs addressed in the biosphere model that are listed in Table 1-1. Inclusion and treatment of FEPs in the biosphere model is described in the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460], Section 6.2).

  19. Sensitivity of Utility-Scale Solar Deployment Projections in the SunShot Vision Study to Market and Performance Assumptions

    SciTech Connect (OSTI)

    Eurek, K.; Denholm, P.; Margolis, R.; Mowers, M.

    2013-04-01T23:59:59.000Z

    The SunShot Vision Study explored the potential growth of solar markets if solar prices decreased by about 75% from 2010 to 2020. The ReEDS model was used to simulate utility PV and CSP deployment for this present study, based on several market and performance assumptions - electricity demand, natural gas prices, coal retirements, cost and performance of non-solar renewable technologies, PV resource variability, distributed PV deployment, and solar market supply growth - in addition to the SunShot solar price projections. This study finds that utility-scale solar deployment is highly sensitive to solar prices. Other factors can have significant impacts, particularly electricity demand and natural gas prices.

  20. Visualising Early Product Development Information

    E-Print Network [OSTI]

    Salustri, Filippo A.

    screws store energy Electricity Supply Screw User Force couple screw & PSD Installed Screw Waste Energy System Bit Bit Screw Screw Electricity Supply Waste Energy User Force Activation System User Input Architecture Systems Design Design Schematics for visualisation of early product information Light

  1. Soft-Input Soft-Output King Decoder for Coded MIMO Wireless Communications

    E-Print Network [OSTI]

    Soft-Input Soft-Output King Decoder for Coded MIMO Wireless Communications Giuseppe PAPA, Domenico,{domenico.ciuonzo,gianmarco.romano,pierluigi.salvorossi}@unina2.it Abstract--This paper presents a Soft-Input Soft-Output (SISO) version of the King Decoder (KD for Multiple-Input Multiple-Output (MIMO) communication systems. More specifically, four versions of the KD

  2. On the Wind Power Input to the Ocean General Circulation XIAOMING ZHAI

    E-Print Network [OSTI]

    Johnson, Helen

    On the Wind Power Input to the Ocean General Circulation XIAOMING ZHAI Atmospheric, Oceanic January 2012, in final form 3 May 2012) ABSTRACT The wind power input to the ocean general circulation is usually calculated from the time-averaged wind products. Here, this wind power input is reexamined using

  3. Making Gestural Input from Arm-Worn Inertial Sensors More Practical

    E-Print Network [OSTI]

    Rajamani, Sriram K.

    .g., in a wristwatch) can sense arm gestures, enabling natural input in untethered scenarios. Two core components input with a wide variety of applications is arm movement detected by inertial sensors embedded transformation of the input space. For example, two users of different heights per- forming the same gesture

  4. Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1

    E-Print Network [OSTI]

    Johnson, F.X.

    2010-01-01T23:59:59.000Z

    equipment (EIA 1993), and a compilation of utility surveySurvey (RECS) conducted by the Energy Information Administration (EIAMay. EIA. 1993. 1990 Residential Energy Consumption Survey (

  5. Documentation of Calculation Methodology, Input data, and Infrastructure for the Home Energy Saver Web Site

    SciTech Connect (OSTI)

    Pinckard, Margaret J.; Brown, Richard E.; Mills, Evan; Lutz, James D.; Moezzi, Mithra M.; Atkinson, Celina; Bolduc, Chris; Homan, Gregory K.; Coughlin, Katie

    2005-07-13T23:59:59.000Z

    The Home Energy Saver (HES, http://HomeEnergySaver.lbl.gov) is an interactive web site designed to help residential consumers make decisions about energy use in their homes. This report describes the underlying methods and data for estimating energy consumption. Using engineering models, the site estimates energy consumption for six major categories (end uses); heating, cooling, water heating, major appliances, lighting, and miscellaneous equipment. The approach taken by the Home Energy Saver is to provide users with initial results based on a minimum of user input, allowing progressively greater control in specifying the characteristics of the house and energy consuming appliances. Outputs include energy consumption (by fuel and end use), energy-related emissions (carbon dioxide), energy bills (total and by fuel and end use), and energy saving recommendations. Real-world electricity tariffs are used for many locations, making the bill estimates even more accurate. Where information about the house is not available from the user, default values are used based on end-use surveys and engineering studies. An extensive body of qualitative decision-support information augments the analytical results.

  6. Environmental Transport Input Parameters for the Biosphere Model

    SciTech Connect (OSTI)

    M. A. Wasiolek

    2003-06-27T23:59:59.000Z

    This analysis report is one of the technical reports documenting the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN), a biosphere model supporting the total system performance assessment (TSPA) for the geologic repository at Yucca Mountain. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows relationships among the reports developed for biosphere modeling and biosphere abstraction products for the TSPA, as identified in the ''Technical Work Plan: for Biosphere Modeling and Expert Support'' (TWP) (BSC 2003 [163602]). Some documents in Figure 1-1 may be under development and not available when this report is issued. This figure provides an understanding of how this report contributes to biosphere modeling in support of the license application (LA), but access to the listed documents is not required to understand the contents of this report. This report is one of the reports that develops input parameter values for the biosphere model. The ''Biosphere Model Report'' (BSC 2003 [160699]) describes the conceptual model, the mathematical model, and the input parameters. The purpose of this analysis is to develop biosphere model parameter values related to radionuclide transport and accumulation in the environment. These parameters support calculations of radionuclide concentrations in the environmental media (e.g., soil, crops, animal products, and air) resulting from a given radionuclide concentration at the source of contamination (i.e., either in groundwater or volcanic ash). The analysis was performed in accordance with the TWP (BSC 2003 [163602]). This analysis develops values of parameters associated with many features, events, and processes (FEPs) applicable to the reference biosphere (DTN: M00303SEPFEPS2.000 [162452]), which are addressed in the biosphere model (BSC 2003 [160699]). The treatment of these FEPs is described in BSC (2003 [160699], Section 6.2). Parameter values developed in this report, and the related FEPs, are listed in Table 1-1. The relationship between the parameters and FEPs was based on a comparison of the parameter definition and the FEP descriptions as presented in BSC (2003 [160699], Section 6.2). The parameter values developed in this report support the biosphere model and are reflected in the TSPA through the biosphere dose conversion factors (BDCFs). Biosphere modeling focuses on radionuclides screened for the TSPA-LA (BSC 2002 [160059]). The same list of radionuclides is used in this analysis (Section 6.1.4). The analysis considers two human exposure scenarios (groundwater and volcanic ash) and climate change (Section 6.1.5). This analysis combines and revises two previous reports, ''Transfer Coefficient Analysis'' (CRWMS M&O 2000 [152435]) and ''Environmental Transport Parameter Analysis'' (CRWMS M&O 2001 [152434]), because the new ERMYN biosphere model requires a redefined set of input parameters. The scope of this analysis includes providing a technical basis for the selection of radionuclide- and element-specific biosphere parameters (except for Kd) that are important for calculating BDCFs based on the available radionuclide inventory abstraction data. The environmental transport parameter values were developed specifically for use in the biosphere model and may not be appropriate for other applications.

  7. Information Information for students

    E-Print Network [OSTI]

    Wright, Francis

    Disability & Dyslexia Information Guidance Support Information for students with disabilities the Disability and Dyslexia Service · Accessing your curriculum · Specialist examination arrangements · Dyslexia and Dyslexia Service for more information. Our contact details can be found on the back page. 03 #12

  8. Interface module for transverse energy input to dye laser modules

    DOE Patents [OSTI]

    English, R.E. Jr.; Johnson, S.A.

    1994-10-11T23:59:59.000Z

    An interface module for transverse energy input to dye laser modules is provided particularly for the purpose of delivering enhancing transverse energy beams in the form of illumination bar to the lasing zone of a dye laser device, in particular to a dye laser amplifier. The preferred interface module includes an optical fiber array having a plurality of optical fibers arrayed in a co-planar fashion with their distal ends receiving coherent laser energy from an enhancing laser source, and their proximal ends delivered into a relay structure. The proximal ends of the optical fibers are arrayed so as to be coplanar and to be aimed generally at a common point. The transverse energy beam array delivered from the optical fiber array is acted upon by an optical element array to produce an illumination bar which has a cross section in the form of a elongated rectangle at the position of the lasing window. The illumination bar is selected to have substantially uniform intensity throughout. 5 figs.

  9. If physics is an information science, what is an observer?

    E-Print Network [OSTI]

    Chris Fields

    2012-02-11T23:59:59.000Z

    Interpretations of quantum theory have traditionally assumed a "Galilean" observer, a bare "point of view" implemented physically by a quantum system. This paper investigates the consequences of replacing such an informationally-impoverished observer with an observer that satisfies the requirements of classical automata theory, i.e. an observer that encodes sufficient prior information to identify the system being observed and recognize its acceptable states. It shows that with reasonable assumptions about the physical dynamics of information channels, the observations recorded by such an observer will display the typical characteristics predicted by quantum theory, without requiring any specific assumptions about the observer's physical implementation.

  10. COWBOYS OR COMMANDERS: DOES INFORMATION TECHNOLOGY LEAD TO DECENTRALIZATION?

    E-Print Network [OSTI]

    simple assumptions: (1) new information technologies will significantly reduce the costs of communicationCOWBOYS OR COMMANDERS: DOES INFORMATION TECHNOLOGY LEAD TO DECENTRALIZATION? George M. Wyner Thomas W. Malone Massachusetts Institute of Technology (In J. I. DeGross, S. Jarvenpaa, and A. Srinivasan

  11. T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    The software does not properly filter HTML code from user-supplied input in the The "mobile phone" profile entry before displaying the input.

  12. Tennessee Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan FebDecadeDecade217523,552.1 Table

  13. Evaluation of severe accident risks: Quantification of major input parameters

    SciTech Connect (OSTI)

    Harper, F.T.; Payne, A.C.; Breeding, R.J.; Gorham, E.D.; Brown, T.D.; Rightley, G.S.; Gregory, J.J. (Sandia National Labs., Albuquerque, NM (USA)); Murfin, W. (Technadyne Engineering Consultants, Inc., Albuquerque, NM (USA)); Amos, C.N. (Science Applications International Corp., Albuquerque, NM (USA))

    1991-04-01T23:59:59.000Z

    This report records part of the vast amount of information received during the expert judgment elicitation process that took place in support of the NUREG-1150 effort sponsored by the U.S. Nuclear Regulatory Commission. The results of the Containment Loads and Molten Core/Containment Interaction Expert Panel Elicitation are presented in this part of Volume 2 of NUREG/CR-4551. The Containment Loads Expert Panel considered seven issues: (1) hydrogen phenomena at Grand Gulf; (2) hydrogen burn at vessel breach at Sequoyah; (3) BWR reactor building failure due to hydrogen; (4) Grand Gulf containment loads at vessel breach; (5) pressure increment in the Sequoyah containment at vessel breach; (6) loads at vessel breach: Surry; and (7) pressure increment in the Zion containment at vessel breach. The report begins with a brief discussion of the methods used to elicit the information from the experts. The information for each issue is then presented in five sections: (1) a brief definition of the issue, (2) a brief summary of the technical rationale supporting the distributions developed by each of the experts, (3) a brief description of the operations that the project staff performed on the raw elicitation results in order to aggregate the distributions, (4) the aggregated distributions, and (5) the individual expert elicitation summaries. The Molten Core/Containment Interaction Panel considered three issues. The results of the following two of these issues are presented in this document: (1) Peach Bottom drywell shell meltthrough; and (2) Grand Gulf pedestal erosion. 89 figs., 154 tabs.

  14. Hanford site solid waste management environmental impact statement technical information document [SEC 1 THRU 4

    SciTech Connect (OSTI)

    FRITZ, L.L.

    2003-04-01T23:59:59.000Z

    This Technical Information Document (TID) provides engineering data to support DOE/EIS-0286, ''Hanford Site Solid (Radioactive and Hazardous) Waste Program Environmental Impact Statement,'' including assumptions and waste volumes calculation data.

  15. The Role Of Modeling Assumptions And Policy Instruments in Evaluating The Global Implications Of U.S. Biofuel Policies

    SciTech Connect (OSTI)

    Oladosu, Gbadebo A [ORNL; Kline, Keith L [ORNL

    2010-01-01T23:59:59.000Z

    The primary objective of current U.S. biofuel law the Energy Independence and Security Act of 2007 (EISA) is to reduce dependence on imported oil, but the law also requires biofuels to meet carbon emission reduction thresholds relative to petroleum fuels. EISA created a renewable fuel standard with annual targets for U.S. biofuel use that climb gradually from 9 billion gallons per year in 2008 to 36 billion gallons (or about 136 billion liters) of biofuels per year by 2022. The most controversial aspects of the biofuel policy have centered on the global social and environmental implications of its potential land use effects. In particular, there is an ongoing debate about whether indirect land use change (ILUC) make biofuels a net source, rather sink, of carbon emissions. However, estimates of ILUC induced by biofuel production and use can only be inferred through modeling. This paper evaluates how model structure, underlying assumptions, and the representation of policy instruments influence the results of U.S. biofuel policy simulations. The analysis shows that differences in these factors can lead to divergent model estimates of land use and economic effects. Estimates of the net conversion of forests and grasslands induced by U.S. biofuel policy range from 0.09 ha/1000 gallons described in this paper to 0.73 ha/1000 gallons from early studies in the ILUC change debate. We note that several important factors governing LUC change remain to be examined. Challenges that must be addressed to improve global land use change modeling are highlighted.

  16. Residential applliance data, assumptions and methodology for end-use forecasting with EPRI-REEPS 2.1

    SciTech Connect (OSTI)

    Hwang, R.J,; Johnson, F.X.; Brown, R.E.; Hanford, J.W.; Kommey, J.G.

    1994-05-01T23:59:59.000Z

    This report details the data, assumptions and methodology for end-use forecasting of appliance energy use in the US residential sector. Our analysis uses the modeling framework provided by the Appliance Model in the Residential End-Use Energy Planning System (REEPS), which was developed by the Electric Power Research Institute. In this modeling framework, appliances include essentially all residential end-uses other than space conditioning end-uses. We have defined a distinct appliance model for each end-use based on a common modeling framework provided in the REEPS software. This report details our development of the following appliance models: refrigerator, freezer, dryer, water heater, clothes washer, dishwasher, lighting, cooking and miscellaneous. Taken together, appliances account for approximately 70% of electricity consumption and 30% of natural gas consumption in the US residential sector. Appliances are thus important to those residential sector policies or programs aimed at improving the efficiency of electricity and natural gas consumption. This report is primarily methodological in nature, taking the reader through the entire process of developing the baseline for residential appliance end-uses. Analysis steps documented in this report include: gathering technology and market data for each appliance end-use and specific technologies within those end-uses, developing cost data for the various technologies, and specifying decision models to forecast future purchase decisions by households. Our implementation of the REEPS 2.1 modeling framework draws on the extensive technology, cost and market data assembled by LBL for the purpose of analyzing federal energy conservation standards. The resulting residential appliance forecasting model offers a flexible and accurate tool for analyzing the effect of policies at the national level.

  17. Data error detection and device controller failure detection in an input/output system

    SciTech Connect (OSTI)

    Katzman, J.A.; Bartlett, J.F.; Bixler, R.M.; Davidow, W.H.; Despotakis, J.A.; Graziano, P.J.; Green, M.D.; Greig, D.A.; Hayashi, S.J.; Mackie, D.R.

    1987-06-09T23:59:59.000Z

    This patent describes an input/output system for a multiprocessor system of the kind in which separate processor modules are interconnected for parallel processing, each of the processor modules having a central processing unit and a memory, at least some of the processor modules having an input/output channel, the input/output system comprising, at least one device controller for controlling the transfer of data between multiple different ones of the processor modules and a peripheral device.

  18. Water Power Calculator Temperature and Analog Input/Output Module Ambient Temperature Testing

    SciTech Connect (OSTI)

    Mark D. McKay

    2011-02-01T23:59:59.000Z

    Water Power Calculator Temperature and Analog input/output Module Ambient Temperature Testing A series of three ambient temperature tests were conducted for the Water Power Calculator development using the INL Calibration Laboratory’s Tenney Environmental Chamber. The ambient temperature test results demonstrate that the Moore Industries Temperature Input Modules, Analog Input Module and Analog Output Module, ambient temperature response meet or exceed the manufactures specifications

  19. RDS - A systematic approach towards system thermal hydraulics input code development for a comprehensive deterministic safety analysis

    SciTech Connect (OSTI)

    Salim, Mohd Faiz, E-mail: mohdfaizs@tnb.com.my [Nuclear Energy Department, Tenaga Nasional Berhad, Level 32, Dua Sentral, 50470 Kuala Lumpur (Malaysia); Roslan, Ridha [Nuclear Installation Division, Atomic Energy Licensing Board, Batu 24, Jalan Dengkil, 43800 Dengkil, Selangor (Malaysia); Ibrahim, Mohd Rizal Mamat [Technical Support Division, Malaysian Nuclear Agency, Bangi, 43000 Kajang, Selangor (Malaysia)

    2014-02-12T23:59:59.000Z

    Deterministic Safety Analysis (DSA) is one of the mandatory requirements conducted for Nuclear Power Plant licensing process, with the aim of ensuring safety compliance with relevant regulatory acceptance criteria. DSA is a technique whereby a set of conservative deterministic rules and requirements are applied for the design and operation of facilities or activities. Computer codes are normally used to assist in performing all required analysis under DSA. To ensure a comprehensive analysis, the conduct of DSA should follow a systematic approach. One of the methodologies proposed is the Standardized and Consolidated Reference Experimental (and Calculated) Database (SCRED) developed by University of Pisa. Based on this methodology, the use of Reference Data Set (RDS) as a pre-requisite reference document for developing input nodalization was proposed. This paper shall describe the application of RDS with the purpose of assessing its effectiveness. Two RDS documents were developed for an Integral Test Facility of LOBI-MOD2 and associated Test A1-83. Data and information from various reports and drawings were referred in preparing the RDS. The results showed that by developing RDS, it has made possible to consolidate all relevant information in one single document. This is beneficial as it enables preservation of information, promotes quality assurance, allows traceability, facilitates continuous improvement, promotes solving of contradictions and finally assisting in developing thermal hydraulic input regardless of whichever code selected. However, some disadvantages were also recognized such as the need for experience in making engineering judgments, language barrier in accessing foreign information and limitation of resources. Some possible improvements are suggested to overcome these challenges.

  20. SRTC input to DOE-HQ R and D database for FY99

    SciTech Connect (OSTI)

    Chandler, L.R. Jr.

    2000-01-05T23:59:59.000Z

    This is a database of the Savannah River Site input to the DOE Research and Development database. The report contains approximately 50 project abstracts.

  1. V-112: Microsoft SharePoint Input Validation Flaws Permit Cross...

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

    update addresses the vulnerabilities correcting the way that Microsoft SharePoint Server validates URLs and user input. IMPACT: A remote user can cause denial of service...

  2. PREDICTING THE TIME RESPONSE OF A BUILDING UNDER HEAT INPUT CONDITIONS FOR ACTIVE SOLAR HEATING SYSTEMS

    E-Print Network [OSTI]

    Warren, Mashuri L.

    2013-01-01T23:59:59.000Z

    Solar Energy Systems for Heating and Cooling. May, 1978. (Washington:Hemisphere heating, Publishing Corp. , 1978),INPUT CONDITIONS FOR ACTIVE SOLAR HEATING SYSTEMS Mashuri L.

  3. Approaches used for Clearance of Lands from Nuclear Facilities among Several Countries: Evaluation for Regulatory Input

    Broader source: Energy.gov [DOE]

    The study entitled, “Approaches used for Clearance of Lands from Nuclear Facilities among Several Countries: Evaluation for Regulatory Input,” focuses on the issue of showing compliance with given...

  4. [Composite analysis E-area vaults and saltstone disposal facilities]. PORFLOW and FACT input files

    SciTech Connect (OSTI)

    Cook, J.R.

    1997-09-01T23:59:59.000Z

    This diskette contains the PORFLOW and FACT input files described in Appendix B of the accompanying report `Composite Analysis E-Area Vaults and Saltstone Disposal Facilities`.

  5. Texas Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear JanYear Jan Feb Mar Apr May Jun1 1,030Decade Year-0Year

  6. Vermont Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear JanYear JanPropane, No.1Decade6,393

  7. Virginia Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear JanYear JanPropane,ThousandExtensionsDecadeFeet) Year

  8. Washington Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear JanYearFuel Consumption0 0 0Feet)ImportsFeet) Year

  9. Maine Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office of Coal,Cubic Feet)FuelDecadePublication and TablesExportsDecade

  10. Modeling the effects of spatial agronomic inputs on crop yield

    E-Print Network [OSTI]

    McCauley, James Darrell

    1992-01-01T23:59:59.000Z

    entry in the marginal probability matrix obtained by summing the rows of p(i, j). Ng pg(j) = Zp(i, j) Ng Ng pz+g(k) = i=))=)p(i, j'), k q [2, 3, . . . , 2Ng] )+g=a Ng Ng p, s(k) = g=gg=g p(i, i), k E [0, 1, . . . , jVg ? 1) h ? gl=& Ng Ng p*= 2... answered all of my e ? mail inquiries regarding the port and spent long hours on the phone during debugging, Sam Turner at the GOSSYM ? COMAX Information Unit in Starkville, Mississippi, was also very helpful during the early stages of this worln Rajesh...

  11. FLEX AND PINCH: A CASE STUDY OF WHOLE HAND INPUT DESIGN FOR VIRTUAL ENVIRONMENT INTERACTION

    E-Print Network [OSTI]

    Pattanaik, Sumanta N.

    FLEX AND PINCH: A CASE STUDY OF WHOLE HAND INPUT DESIGN FOR VIRTUAL ENVIRONMENT INTERACTION JOSEPH J. LAVIOLA JR. and ROBERT C. ZELEZNIK Brown University Site of the NSF Science and Technology Center. In this paper, we describe our Pinch Glove like input device which is used as a tool to augment bend

  12. Noninvasive high-resolution detection of the arterial and venous input function through a PET Wrist

    E-Print Network [OSTI]

    Noninvasive high-resolution detection of the arterial and venous input function through a PET Wrist using planar coincidence images. I. INTRODUCTION Quantitative Positron Emission Tomography (PET) often determine the input function. These techniques include external monitors and PET scanners that measure

  13. Improved Imaged-derived Input Function for Study of Human Brain FDG-PET

    E-Print Network [OSTI]

    Renaut, Rosemary

    Improved Imaged-derived Input Function for Study of Human Brain FDG-PET Hongbin Guo, Rosemary tomography (PET) studies. Two time windows can be recognized in the time activity curve measured from the compartmental model for FDG PET [5]. Index Terms Quantification of FDG PET, Automated Image-derived input

  14. Evaluating an Alternative Model for the Input Function in FDG-PET Studies 1

    E-Print Network [OSTI]

    Renaut, Rosemary

    Evaluating an Alternative Model for the Input Function in FDG-PET Studies 1 Hongbin Guo 2 Rosemary-D-glucose flu- oro (FDG) positron emission tomography (PET) brain studies with bolus injection is presented-derived expressions. The new model provides an effective means to recover the input function in FDG-PET studies

  15. Experimental Results on Multiple-Input Single-Output (MISO) Time Reversal for UWB

    E-Print Network [OSTI]

    Qiu, Robert Caiming

    Experimental Results on Multiple-Input Single-Output (MISO) Time Reversal for UWB Systems with multiple-input single- output (MISO) antennas over ultra-wideband (UWB) channels. In particular, temporal and spatial focusing as well as array gain are studied based on a (4 × 1) MISO scheme in an office environment

  16. Design of penalty functions for optimal control of linear dynamical systems under state and input constraints

    E-Print Network [OSTI]

    Design of penalty functions for optimal control of linear dynamical systems under state and input of solving a constrained optimal control for a general single-input single output linear time varying system dimensional (functional optimization) case. The main novelty is that both the bounds on the control variable

  17. Asymptotic Controllability and Input-to-State Stabilization: The Effect of Actuator Errors

    E-Print Network [OSTI]

    Sontag, Eduardo

    a new feedback design that makes globally asymptotically controllable systems input-to-state stable of input-to-state stable (ISS) systems forms the basis for much modern nonlinear feedback design-to-state stabi- lizability of nonlinear finite-dimensional continuous-time control systems. We focus on some

  18. Kalman filtering with unknown inputs via optimal state estimation of singular systems

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Kalman filtering with unknown inputs via optimal state estimation of singular systems M. DAROUACH de Lorraine, 54400 COSNES ET ROMAIN, FRANCE A new method for designing a Kalman filter for linear the Kalman filter, it is generally assumed that all system parameters, noise covariances, and inputs

  19. INPUT VARIABLE SELECTION USING INDEPENDENT COMPONENT ANALYSIS AND HIGHER ORDER STATISTICS

    E-Print Network [OSTI]

    Vialatte, François

    that the method is capable of giving reliable performance with dependent inputs to non- linear models. 1-test. Given a linear regression model (1) where is an parameter vector and is an input regression vector. Assume we have a generating system given by (2) where and is some static non- linear function, possibly

  20. A coupled isotope tracer method to characterize input water to lakes

    E-Print Network [OSTI]

    Edwards, Thomas W.D.

    of input waters after accounting for the effects of secondary evaporative isotopic enrichment. As shownA coupled isotope tracer method to characterize input water to lakes Yi Yi a,*, Bronwyn E. Brock in revised form 7 November 2007; accepted 9 November 2007 KEYWORDS Water isotope tracers; Isotope hydrology

  1. Magnetized Target Fusion: Input to the 35-yr Fusion Long-Range Electric Plan

    E-Print Network [OSTI]

    controlled thermonuclear fusion in the laboratory -- Intermediate between MFE and IFE · Presently only fundedMagnetized Target Fusion: Input to the 35-yr Fusion Long-Range Electric Plan G. A. Wurden Fusion Energy Program Office Los Alamos National Laboratory Jan. 14, 2003 #12;Magnetized Target Fusion: Input

  2. A Current-based Method for Short Circuit Power Calculation under Noisy Input Waveforms*

    E-Print Network [OSTI]

    Pedram, Massoud

    A Current-based Method for Short Circuit Power Calculation under Noisy Input Waveforms* Hanif circuit energy dissipation of logic cells. The short circuit current is highly dependent on the input waveforms are then used to calculate the short circuit current, and hence, short circuit energy dissipation

  3. 2008 Residential Building Efficiency Standards 1 Efficiency Ratings and Performance Modeling Inputs

    E-Print Network [OSTI]

    Inputs for the Daiken AC (Americas), Inc. Altherma Air-to-Water Source Heat Pump System The Building-to-Water Source Heat Pump can provide space heating, space cooling and domestic water heating functions Required Compliance Software Inputs-- The Altherma Air-to-Water Source Heat Pump system is an electric heat

  4. LETTER Communicated by Emilio Salinas Higher-Order Statistics of Input Ensembles and the Response

    E-Print Network [OSTI]

    LETTER Communicated by Emilio Salinas Higher-Order Statistics of Input Ensembles and the Response (Steinmetz et al., 2000; Salinas & Sejnowski, 2001). The effect of correlated synaptic input on the neuronal; Salinas & Sejnowski, 2000; Svirskis & Rinzel, 2000; Feng & Zhang, 2001; Stroeve & Gielen, 2001

  5. MiTV: Multiple-Implementation Testing of User-Input Validators for Web Applications

    E-Print Network [OSTI]

    Xie, Tao

    MiTV: Multiple-Implementation Testing of User-Input Validators for Web Applications Kunal Taneja1 Nuo Li1 Madhuri R. Marri1 Tao Xie1 Nikolai Tillmann2 1 Department of Computer Science, North Carolina,txie}@ncsu.edu, 2nikolait@microsoft.com ABSTRACT User-input validators play an essential role in guarding a web

  6. Quality assurance of solar thermal systems with the ISFH-Input/Output-Procedure

    E-Print Network [OSTI]

    Quality assurance of solar thermal systems with the ISFH- Input/Output-Procedure Peter Paerisch different solar systems. The simulation model was validated with measured data. The deviation between meas * Tel. +49 (0)5151-999503, Fax: +49 (0)5151-999500, Email: paerisch@isfh.de Abstract Input/Output

  7. Large Engineering Systems Conference on Power Engineering, July 2004, Halifax Canada. IEEE 2004 1 Abstract--One important assumption in a model of an

    E-Print Network [OSTI]

    is with the Department of Electrical and Computer Engineering, University of Wisconsin, Madison, WI 53706 USA (e Abstract--One important assumption in a model of an electricity market is the format of bids and costs. Most literature on electricity markets uses piecewise linear or quadratic functions to represent costs

  8. 1 Jitter correction formulae; mmc 11 Oct 97 We start with the assumption that the V 2 reduction can be written

    E-Print Network [OSTI]

    1 Jitter correction formulae; mmc 11 Oct 97 We start with the assumption that the V 2 reduction can be written V 2 = exp \\Gammaoe 2 h ; where oe 2 h is the high­pass phase jitter, given by the frequency \\Gamma2 , C = 0:128. When jitter correction is applied, I have tended to use a conservative value C = 0

  9. 1 Jitter correction formulae; mmc 11 Oct 97 We start with the assumption that the V 2reduction can be written

    E-Print Network [OSTI]

    1 Jitter correction formulae; mmc 11 Oct 97 We start with the assumption that the V 2 jitter, given by the frequency- domain integral Z oe2h: for W (f) / f-2 , C = 0.128. When jitter correction is applied, I have tended to use a conservative

  10. Review of input stages used in front end electronics for particle detectors

    E-Print Network [OSTI]

    Kaplon, J

    2015-01-01T23:59:59.000Z

    In this paper we present noise analysis of the input stages most commonly used in front end electronics for particle detectors. Analysis shows the calculation of the input referenced noise related to the active devices. It identifies the type, parallel or series, of the equivalent noise sources related to the input transistors, which is the important input for the further choice of the signal processing method. Moreover we calculate the input impedance of amplifiers employed in applications where the particle detector is connected to readout electronics by means of transmission line. We present schematics, small signal models,a complete set of equations, and results of the major steps of calculations for all discussed circuits.

  11. All-optical routing of single photons with multiple input and output ports by interferences

    E-Print Network [OSTI]

    Wei-Bin Yan; Bao Liu; Ling Zhou; Heng Fan

    2014-09-23T23:59:59.000Z

    We propose a waveguide-cavity coupled system to achieve the routing of photons by the phases of other photons. Our router has four input ports and four output ports. The transport of the coherent-state photons injected through any input port can be controlled by the phases of the coherent-state photons injected through other input ports. This control can be achieved when the mean numbers of the routed and control photons are small enough and require no additional control fields. Therefore, the all-optical routing of photons can be achieved at the single-photon level.

  12. Input to the PRAST computer code used in the SRS probabilistic risk assessment

    SciTech Connect (OSTI)

    Kearnaghan, D.P.

    1992-10-15T23:59:59.000Z

    The PRAST (Production Reactor Algorithm for Source Terms) computer code was developed by Westinghouse Savannah River Company and Science Application International Corporation for the quantification of source terms for the SRS Savannah River Site (SRS) Reactor Probabilistic Risk Assessment. PRAST requires as input a set of release fractions, decontamination factors, transfer fractions and source term characteristics that accurately reflect the conditions that are evaluated by PRAST. This document links the analyses which form the basis for the PRAST input parameters. In addition, it gives the distribution of the input parameters that are uncertain and considered to be important to the evaluation of the source terms to the environment.

  13. 7-117 The claim of a heat pump designer regarding the COP of the heat pump is to be evaluated. Assumptions The heat pump operates steadily.

    E-Print Network [OSTI]

    Bahrami, Majid

    7-47 7-117 The claim of a heat pump designer regarding the COP of the heat pump is to be evaluated. Assumptions The heat pump operates steadily. HP Wnet,in QH QL TL TH Analysis The maximum heat pump coefficient of performance would occur if the heat pump were completely reversible, 5.7 K026K300 K300 COP maxHP, LH H TT

  14. Lessons Learned in Optimizing Workers' and Worker Representatives' Input to Work Planning and Control

    Broader source: Energy.gov [DOE]

    Slide Presentation by Tom McQuiston, Dr. P.H., United Steelworkers - Tony Mazzocchi Center for Health, Safety and Environmental Education. Lessons Learned in Optimizing Workers’ and Worker Representatives’ Input in Work Planning and Control.

  15. Use of Building Automation System Trend Data for Inputs Generation in Bottom-Up Simulation Calibration

    E-Print Network [OSTI]

    Zibin, N. F.; Zmeureanu, R. G.; Love, J. A.

    2013-01-01T23:59:59.000Z

    for analysis and use in simulation is very large. This paper explores automating the process of generating inputs from Building Automation System (BAS) trend data for use in building simulation software. A proof-of-concept prototype called the Automatic...

  16. T-602: BlackBerry Enterprise Server Input Validation Flaw in...

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

    BlackBerry Enterprise Server Input Validation Flaw in BlackBerry Web Desktop Manager Permits Cross-Site Scripting Attacks PLATFORM: BlackBerry Enterprise Server Express versions...

  17. METAMODELS AS INPUT OF AN OPTIMIZATION ALGORITHM FOR SOLVING AN INVERSE EDDY CURRENT TESTING PROBLEM

    E-Print Network [OSTI]

    Boyer, Edmond

    METAMODELS AS INPUT OF AN OPTIMIZATION ALGORITHM FOR SOLVING AN INVERSE EDDY CURRENT TESTING-Curie, 91192 Gif-sur-Yvette, France Abstract A new mean of solution of eddy current testing (ECT) inverse

  18. Three papers on input-ouput [sic] energy and environmental accounting

    E-Print Network [OSTI]

    Huang, Sonya (Sonya Y.)

    2013-01-01T23:59:59.000Z

    The input-output model, a framework for national accounting and economic modeling, has been popular among regional economists for studying energy and emissions due to its focus on interindustry linkages. In a series of ...

  19. A study of the effects of natural fertility, weather and productive inputs in Chinese agriculture

    E-Print Network [OSTI]

    Eckaus, Richard S.; Tso, Katherine Kit-Yan.

    This paper presents an investigation of the relations in China between farm output, the natural fertility of agricultural land, and the use of anthropogenic farm inputs. The methodology is presented as a potential increment ...

  20. The Effect of Changing Input and Product Prices on the Demand for Irrigation Water in Texas

    E-Print Network [OSTI]

    Lacewell, R. D.; Condra, G. D.

    uncertainties which often have not disturbed the policy-maker in evaluating alternatives. Product prices have risen and fallen at an unprecedented rate while input prices have steadily risen at rates which preclude realistic budgeting. For example, during...

  1. Eutrophication: impacts of excess nutrient inputs on freshwater, marine, and terrestrial ecosystems

    E-Print Network [OSTI]

    Minnesota, University of

    Eutrophication: impacts of excess nutrient inputs on freshwater, marine, and terrestrial ecosystems enrichment, or eutrophication, can lead to highly undesirable changes in ecosystem structure and function eutrophication in freshwater, marine, and terrestrial ecosystems. We present two brief case studies (one

  2. Identifying Steam Opportunity "Impact" Inputs for the Steam System Assessment Tool (SSAT)

    E-Print Network [OSTI]

    Harrell, G.; Jendrucko, R.; Wright, A.

    2004-01-01T23:59:59.000Z

    IDENTIFYING STEAM OPPORTUNITY "IMPACT" INPUTS FOR THE STEAM SYSTEM ASSESSMENT TOOL (SSAT) Dr. Greg Harrell, University of Tennessee/Knoxville Dr. Richard Jendrucko, University of Tennessee/Knoxville Dr. Anthony Wright, Oak Ridge National...

  3. OBSERVER DESIGN FOR NONLINEAR SYSTEMS BY USING INPUT-TO-STATE STABILITY

    E-Print Network [OSTI]

    Sontag, Eduardo

    OBSERVER DESIGN FOR NONLINEAR SYSTEMS BY USING INPUT-TO-STATE STABILITY A. Alessandri Abstract by solving LMI problems [18]. A. Alessandri is with the Institute of Intelligent Systems for Automation

  4. On the Patterns of Wind-Power Input to the Ocean Circulation

    E-Print Network [OSTI]

    Roquet, Fabien

    Pathways of wind-power input into the ocean general circulation are analyzed using Ekman theory. Direct rates of wind work can be calculated through the wind stress acting on the surface geostrophic flow. However, because ...

  5. Development of MELCOR Input Techniques for High Temperature Gas-Cooled Reactor Analysis

    E-Print Network [OSTI]

    Corson, James

    2011-08-08T23:59:59.000Z

    and other HTGRs. In the present study, new input techniques have been developed for MELCOR HTGR analysis. These new techniques include methods for modeling radiation heat transfer between solid surfaces in an HTGR, calculating fuel and cladding geometric...

  6. Shelf-derived iron inputs drive biological productivity in the southern Drake Passage

    E-Print Network [OSTI]

    as large as inputs from mineral dust. Sediment resuspension events [Luther and Wu, 1997; Johnson et al al., 2004] lead to higher concentrations in coastal and shelf waters. It appears that in the Southern

  7. An Input Function Estimation Method for FDG-PET Human Brain Studies 1

    E-Print Network [OSTI]

    Renaut, Rosemary

    An Input Function Estimation Method for FDG-PET Human Brain Studies 1 Hongbin Guo ,2 Rosemary 85287-1804, Tel: 480-965-8002, Fax: 480-965-4160 Email addresses: hb guo@asu.edu (Hongbin Guo), renaut

  8. Input-Output as a Method of Evaluahon of the Economic Impact of Water Resources Development

    E-Print Network [OSTI]

    Canion, R. L.; Trock, W. L.

    In this report the results of a study of the use of input-output analysis to evaluate the economic impact of water resources development are presented. Blackburn Crossing reservoir on the Upper Neches river was the subject development...

  9. Solar energy storage researchers information user study

    SciTech Connect (OSTI)

    Belew, W.W.; Wood, B.L.; Marle, T.L.; Reinhardt, C.L.

    1981-03-01T23:59:59.000Z

    The results of a series of telephone interviews with groups of users of information on solar energy storage are described. In the current study only high-priority groups were examined. Results from 2 groups of researchers are analyzed: DOE-Funded Researchers and Non-DOE-Funded Researchers. The data will be used as input to the determination of information products and services the Solar Energy Research Institute, the Solar Energy Information Data Bank Network, and the entire information outreach community should be preparing and disseminating.

  10. Concatenated codes for the multiple-input multiple-output quasi-static fading channel

    E-Print Network [OSTI]

    Gulati, Vivek

    2005-02-17T23:59:59.000Z

    CONCATENATED CODES FOR THE MULTIPLE-INPUT MULTIPLE-OUTPUT QUASI-STATIC FADING CHANNEL A Dissertation by VIVEK GULATI Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree... of DOCTOR OF PHILOSOPHY December 2004 Major Subject: Electrical Engineering CONCATENATED CODES FOR THE MULTIPLE-INPUT MULTIPLE-OUTPUT QUASI-STATIC FADING CHANNEL A Dissertation by VIVEK GULATI Submitted to Texas A&M University in partial fulfillment...

  11. Economic effect on agricultural production of alternative energy input prices: Texas High Plains

    E-Print Network [OSTI]

    Adams, Benjamin Michael

    1975-01-01T23:59:59.000Z

    ECONOMIC EFFECT ON AGRICULTURAL PRODUCTION OF ALTERNATIYE ENERGy INPUT PRICES: TEXAS HIGH PLAlNS A Thesis by BENJAMIN MICHAEL ADAMS Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement... for the degree of MASTER OF SCIENCE December 1975 Major Subject: Agricultural Economics ECONOMIC EFFECT ON AGRICULTURAL PRODUCTION OF ALTERNATIVE ENERGY INPUT PRICES: TEXAS HIGH PLAINS A Thesis by BENJAMIN MICHAEL ADAMS Approved as to style and content...

  12. Onsrud, H.J., "Access to Geographic Information in the United States", Free accessibility of geo-information in the Netherlands, the United States, and the European Community,

    E-Print Network [OSTI]

    Onsrud, Harlan J.

    complementary laws. A basic policy assumption underlying most U.S. information law is that the economic. Onsrud Department of Spatial Information Science and Engineering National Center for Geographic fundamental democratic values and in terms of supporting long term economic advancement for the nation. 1

  13. information security

    E-Print Network [OSTI]

    Faculty listing for "information security" ... 1167; Phone: +1 765 49-46022; Email: wagstaff@purdue.edu; Research Interests: number theory, information security.

  14. On the Variability of Wind Power Input to the Oceans with a Focus on the Subpolar North Atlantic

    E-Print Network [OSTI]

    Zhai, Xiaoming

    Variations in power input to the ocean using a recent global “reanalysis” extending back to 1871 show a strong trend in the net power input since then, a trend dominated by the Southern Ocean region. This trend is interpreted ...

  15. Using input-output techniques to address economic and energy issues in Malaysia

    E-Print Network [OSTI]

    and government(public) consumption. · Compute the increase in electricity and gas use if increase of: o 2 billion consumption effects Discuss assumptions about price and composition of final demand: #12;3 For electricity? Assume electricity intensity: · high energy intensity 1.4 · low energy intensity 0.4 Now calculate

  16. The Influence of Isotopic Mass, Edge Magnetic Shear and Input Power on High Density ELMy H-modes in JET

    E-Print Network [OSTI]

    The Influence of Isotopic Mass, Edge Magnetic Shear and Input Power on High Density ELMy H-modes in JET

  17. US-CERT Control System Center Input/Output (I/O) Conceputal Design

    SciTech Connect (OSTI)

    Not Available

    2005-02-01T23:59:59.000Z

    This document was prepared for the US-CERT Control Systems Center of the National Cyber Security Division (NCSD) of the Department of Homeland Security (DHS). DHS has been tasked under the Homeland Security Act of 2002 to coordinate the overall national effort to enhance the protection of the national critical infrastructure. Homeland Security Presidential Directive HSPD-7 directs the federal departments to identify and prioritize critical infrastructure and protect it from terrorist attack. The US-CERT National Strategy for Control Systems Security was prepared by the NCSD to address the control system security component addressed in the National Strategy to Secure Cyberspace and the National Strategy for the Physical Protection of Critical Infrastructures and Key Assets. The US-CERT National Strategy for Control Systems Security identified five high-level strategic goals for improving cyber security of control systems; the I/O upgrade described in this document supports these goals. The vulnerability assessment Test Bed, located in the Information Operations Research Center (IORC) facility at Idaho National Laboratory (INL), consists of a cyber test facility integrated with multiple test beds that simulate the nation's critical infrastructure. The fundamental mission of the Test Bed is to provide industry owner/operators, system vendors, and multi-agency partners of the INL National Security Division a platform for vulnerability assessments of control systems. The Input/Output (I/O) upgrade to the Test Bed (see Work Package 3.1 of the FY-05 Annual Work Plan) will provide for the expansion of assessment capabilities within the IORC facility. It will also provide capabilities to connect test beds within the Test Range and other Laboratory resources. This will allow real time I/O data input and communication channels for full replications of control systems (Process Control Systems [PCS], Supervisory Control and Data Acquisition Systems [SCADA], and components). This will be accomplished through the design and implementation of a modular infrastructure of control system, communications, networking, computing and associated equipment, and measurement/control devices. The architecture upgrade will provide a flexible patching system providing a quick ''plug and play''configuration through various communication paths to gain access to live I/O running over specific protocols. This will allow for in-depth assessments of control systems in a true-to-life environment. The full I/O upgrade will be completed through a two-phased approach. Phase I, funded by DHS, expands the capabilities of the Test Bed by developing an operational control system in two functional areas, the Science & Technology Applications Research (STAR) Facility and the expansion of various portions of the Test Bed. Phase II (see Appendix A), funded by other programs, will complete the full I/O upgrade to the facility.

  18. Dual-Sampling-Rate Moving Horizon Control of a Class of Linear Systems with Input Saturation and

    E-Print Network [OSTI]

    Dual-Sampling-Rate Moving Horizon Control of a Class of Linear Systems with Input Saturation horizon control scheme for a class of linear, continuous-time plants with strict input saturation horizon control, robust, fast sampling, stability, linear sys- tems, input constraints 1 Introduction

  19. REVIEW OF SCIENTIFIC INSTRUMENTS 83, 033109 (2012) Thermal effects in the Input Optics of the Enhanced Laser Interferometer

    E-Print Network [OSTI]

    Tanner, David B.

    proportional to the GW strain and the input power. The Fabry-Perot cavi- ties in the Michelson arms and a powerREVIEW OF SCIENTIFIC INSTRUMENTS 83, 033109 (2012) Thermal effects in the Input Optics run of the LIGO interferometers. The Initial LIGO Input Optics experienced thermal side effects when

  20. Estimates of wind energy input to the Ekman layer in the Southern Ocean from surface drifter data

    E-Print Network [OSTI]

    Gille, Sarah T.

    Estimates of wind energy input to the Ekman layer in the Southern Ocean from surface drifter data March 2009; published 5 June 2009. [1] The energy input to the upper ocean Ekman layer is assessed velocities, with an adjustment to account for the vertical structure of the upper ocean. The energy input

  1. CONTACTS FOR INFORMATION MANAGEMENT: Forms, Information Collection...

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

    CONTACTS FOR INFORMATION MANAGEMENT: Forms, Information Collection, Privacy & Records CONTACTS FOR INFORMATION MANAGEMENT: Forms, Information Collection, Privacy & Records Troy...

  2. Biomass energy systems information user study

    SciTech Connect (OSTI)

    Belew, W.W.; Wood, B.L.; Marle, T.L.; Reinhardt, C.L.

    1981-02-01T23:59:59.000Z

    The results of a series of telephone interviews with groups of users of information on biomass energy systems are described. These results, part of a larger study on many different solar technologies, identify types of information each group needed and the best ways to get information to each group. This report is 1 of 10 discussing study results. The overall study provides baseline data about information needs in the solar community. Results from 12 biomass groups of respondents are analyzed in this report: Federally Funded Researchers (2 groups), Nonfederally Funded Researchers (2 groups), Representatives of Manufacturers (2 groups), Representatives of State Forestry Offices, Private Foresters, Forest Products Engineers, Educators, Cooperative Extension Service County Agents, and System Managers. The data will be used as input to the determination of information products and services the Solar Energy Research Institute, the Solar Energy Information Data Bank Network, and the entire information outreach community should be preparing and disseminating.

  3. Design Impacts of Stochastically-Varying Input Parameters on Advanced Thermoelectric Conversion Systems

    SciTech Connect (OSTI)

    Hendricks, Terry J.; Karri, Naveen K.

    2007-06-30T23:59:59.000Z

    Advanced, direct thermal energy conversion technologies are receiving increased research attention in order to recover waste thermal energy in advanced vehicles and industrial processes. Advanced thermoelectric (TE) systems necessarily require integrated system-level analyses to establish accurate optimum system designs. Past system-level design and analysis has relied on well-defined deterministic input parameters even though many critically important environmental and system design parameters in the above mentioned applications are often randomly variable, sometimes according to complex relationships, rather than discrete, well-known deterministic variables. This work describes new research and development creating techniques and capabilities for probabilistic design and analysis of advanced TE power generation systems to quantify the effects of randomly uncertain design inputs in determining more robust optimum TE system designs and expected outputs. Selected case studies involving stochastic TE .material properties and coupled multi-variable stochasticity in key environmental and design parameters are presented and discussed to demonstrate key impacts from considering stochastic design inputs on the TE design optimization process. Critical findings show that: 1) stochastic Gaussian input distributions may produce Gaussian or non-Gaussian outcome probability distributions for critical TE design parameters, and 2) probabilistic input considerations can create design effects that warrant significant modifications to deterministically-derived optimum TE system designs. Magnitudes and directions of these design modifications are quantified for selected TE system design analysis cases.

  4. Design Impacts of Stochastically-Varying Input Parameters on Advanced Thermoelectric Conversion

    SciTech Connect (OSTI)

    Hendricks, Terry J.; Karri, Naveen K.

    2007-07-18T23:59:59.000Z

    Advanced, direct thermal energy conversion technologies are receiving increased research attention in order to recover waste thermal energy in advanced vehicles and industrial processes. Advanced thermoelectric (TE) systems necessarily require integrated system-level analyses to establish accurate optimum system designs. Past system-level design and analysis has relied on well-defined deterministic input parameters even though many critically important environmental and system design parameters in the above mentioned applications are often randomly variable, sometimes according to complex relationships, rather than discrete, well-known deterministic variables. This work describes new research and development creating techniques and capabilities for probabilistic design and analysis of advanced TE power generation systems to quantify the effects of randomly uncertain design inputs in determining more robust optimum TE system designs and expected outputs. Selected case studies involving stochastic TE .material properties and coupled multi-variable stochasticity in key environmental and design parameters are presented and discussed to demonstrate key impacts from considering stochastic design inputs on the TE design optimization process. Critical findings show that: 1) stochastic Gaussian input distributions may produce Gaussian or non-Gaussian outcome probability distributions for critical TE design parameters, and 2) probabilistic input considerations can create design effects that warrant significant modifications to deterministically-derived optimum TE system designs. Magnitudes and directions of these design modifications are quantified for selected TE system design analysis cases.

  5. Analysis of the Effects of Compositional and Configurational Assumptions on Product Costs for the Thermochemical Conversion of Lignocellulosic Biomass to Mixed Alcohols -- FY 2007 Progress Report

    SciTech Connect (OSTI)

    Zhu, Yunhua; Gerber, Mark A.; Jones, Susanne B.; Stevens, Don J.

    2008-12-05T23:59:59.000Z

    The purpose of this study was to examine alternative biomass-to-ethanol conversion process assumptions and configuration options to determine their relative effects on overall process economics. A process-flow-sheet computer model was used to determine the heat and material balance for each configuration that was studied. The heat and material balance was then fed to a costing spreadsheet to determine the impact on the ethanol selling price. By examining a number of operational and configuration alternatives and comparing the results to the base flow sheet, alternatives having the greatest impact the performance and cost of the overall system were identified and used to make decisions on research priorities.

  6. Compiled 11/ 14/ 2011 by OPBA. These assumptions are for modeling purposes only. They are subject to change. Page 1 of 2

    E-Print Network [OSTI]

    Vonessen, Nikolaus

    .1 Electricity 2% 2% 231.7 3.7 Fuel Oil 9% 8% 240.8 3.9 Natural Gas -25% 0% 253.1 5.1 Lab Gas 0% 0% 260.3 2.8 Water 3% 3% 273.2 5.0 Sewer 6% 5% 279.3 2.2 Garbage 4% 4% 281.8 0.9 *FY13 based on projections dated 6.03% 18.46% 3.33% 5.54% Higher Education Price Index (HEPI)* Utility Assumptions Fiscal Year 2002 3,679 3

  7. Review of Literature for Inputs to the National Water Savings Model and Spreadsheet Tool-Commercial/Institutional

    SciTech Connect (OSTI)

    Whitehead, Camilla Dunham; Melody, Moya; Lutz, James

    2009-05-29T23:59:59.000Z

    Lawrence Berkeley National Laboratory (LBNL) is developing a computer model and spreadsheet tool for the United States Environmental Protection Agency (EPA) to help estimate the water savings attributable to their WaterSense program. WaterSense has developed a labeling program for three types of plumbing fixtures commonly used in commercial and institutional settings: flushometer valve toilets, urinals, and pre-rinse spray valves. This National Water Savings-Commercial/Institutional (NWS-CI) model is patterned after the National Water Savings-Residential model, which was completed in 2008. Calculating the quantity of water and money saved through the WaterSense labeling program requires three primary inputs: (1) the quantity of a given product in use; (2) the frequency with which units of the product are replaced or are installed in new construction; and (3) the number of times or the duration the product is used in various settings. To obtain the information required for developing the NWS-CI model, LBNL reviewed various resources pertaining to the three WaterSense-labeled commercial/institutional products. The data gathered ranged from the number of commercial buildings in the United States to numbers of employees in various sectors of the economy and plumbing codes for commercial buildings. This document summarizes information obtained about the three products' attributes, quantities, and use in commercial and institutional settings that is needed to estimate how much water EPA's WaterSense program saves.

  8. Heisenberg-limited metrology with information recycling

    E-Print Network [OSTI]

    Simon A. Haine; Stuart S. Szigeti; Matthias D. Lang; Carlton M. Caves

    2015-05-01T23:59:59.000Z

    Information recycling has been shown to improve the sensitivity of atom interferometers by exploiting atom-light entanglement. In this paper, we apply information recycling to an interferometer where the input quantum state has been partially transferred from some donor system. We demonstrate that when the quantum state of this donor system is from a particular class of number-correlated Heisenberg-limited states, information recycling yields a Heisenberg-limited phase measurement. Crucially, this result holds irrespective of the fraction of the quantum state transferred to the interferometer input and also for a general class of number-conserving quantum-state-transfer processes, including ones that destroy the first-order phase coherence between the branches of the interferometer. This result could have significant applications in Heisenberg-limited atom interferometry, where the quantum state is transferred from a Heisenberg-limited photon source, and in optical interferometry where the loss can be monitored.

  9. Abstract--Voltage and current measurements are routinely used as inputs to transducers in order to obtain sensory information

    E-Print Network [OSTI]

    estimators [1] and for general energy management systems. II. NON-COLLOCATED VOLTAGE AND CURRENT MEASUREMENTS River Project (SRP), Phoenix, AZ. Authors Mann and Heydt are with the Department of Electrical Engineer, complex power measurement. I. INTRODUCTION OWER system measurements may possess error due to inherent

  10. A Coordinated Approach to Communicating Pediatric-Related Information on Pandemic Influenza at the Community Level

    SciTech Connect (OSTI)

    HCTT CHE

    2009-12-16T23:59:59.000Z

    The purpose of this document is to provide a suggested approach, based on input from pediatric stakeholders, to communicating pediatric-related information on pandemic influenza at the community level in a step-by-step manner.

  11. Vector-Based Integration of Local and Long-Range Information in Visual Cortex

    E-Print Network [OSTI]

    Somers, David C.

    1996-01-18T23:59:59.000Z

    Integration of inputs by cortical neurons provides the basis for the complex information processing performed in the cerebral cortex. Here, we propose a new analytic framework for understanding integration within ...

  12. SCHOLARSHIP INFORMATION

    E-Print Network [OSTI]

    STUDENT LEADERSHIP SCHOLARSHIP INFORMATION & APPLICATION #12;Sentry Insurance is pleased, creativity and dedication to lead all sectors of society. Sentry believes that by supporting the education for providing scholarship information to school counselors, for actively recruiting students who meet

  13. Preliminary Assumptions for Wind Technologies

    E-Print Network [OSTI]

    and incentives for renewable resources Federal Production Tax Credit (PTC) 2.3 cents/kWh over first 10 years of operation Investment Tax Credit (ITC) alternative 30% towards developer's income tax for qualifying solar, fuel cell and small wind (geothermal, CHP BETC ­ just Oregon (now expired) 5 #12

  14. Section 25: Future State Assumptions

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz is Taking Over OurSecretaryFigureAtmospheric

  15. U-195: PHPlist Input Validation Flaws Permit Cross-Site Scripting and SQL Injection Attacks

    Broader source: Energy.gov [DOE]

    The 'public_html/lists/admin' pages do not properly validate user-supplied input in the 'sortby' parameter [CVE-2012-2740]. A remote authenticated administrative user can supply a specially crafted parameter value to execute SQL commands on the underlying database.

  16. Maximum Output Amplitude of Linear Systems for certain Input Constraints1

    E-Print Network [OSTI]

    Sontag, Eduardo

    of this input and calculates the maximum amplitude of the output. The solution of this problem is a necessary, Linear Sys- tems. 1 Introduction and Motivation Most practical control problems are dominated by hard bounds. Valves can only be operated between fully open and fully closed, pumps and compressors have

  17. A wrapper approach to supervised input selection using simulated M. Filippone, F. Masulli, S. Rovetta

    E-Print Network [OSTI]

    Filippone, Maurizio

    objectives of highlighting the relevant variables (genes) and improving classification results. In this paper Simulated Annealing coupled with supervised classifiers. The proposed approach can perform global combinatorial searches through the space of all possible input subsets, can handle cases with numerical

  18. Linear Feedback Control Input under Actuator Saturation: a Takagi-Sugeno Approach

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Linear Feedback Control Input under Actuator Saturation: a Takagi-Sugeno Approach Souad Bezzaoucha into account the effect of saturation throughout the design procedure, a controller that may be linear. The third strategy is a two-step approach in which a nominal linear controller is first constructed

  19. OPTIMAL REGULATOR FOR LINEAR SYSTEMS WITH TIME DELAY IN CONTROL INPUT

    E-Print Network [OSTI]

    OPTIMAL REGULATOR FOR LINEAR SYSTEMS WITH TIME DELAY IN CONTROL INPUT MICHAEL BASIN JESUS RODRIGUEZ are included. Keywords: Linear Time-Delay System; Optimal Control; Filtering Category of the paper: Regular 1 Introduction Although the optimal control (regulator) problem for linear system states was solved, as well

  20. A constructive interior penalty method for optimal control problems with state and input constraints.

    E-Print Network [OSTI]

    which allows us to address constrained optimal control of non linear systems by interior penalty methods in the article. It is shown that it allows us to approach the solution of the non linear optimal control problem a constrained optimal control problem (COCP) for a general single-input single-output (SISO) with non linear

  1. RIS-M-2256 INPUT DESCRIPTION FOR THE THREE-DIMENSIONAL

    E-Print Network [OSTI]

    , PWR TYPE REACTORS, REACTOR KINETICS, THREE-DIMENSIONAL CALCULATIONS, TRANSIENTS. UDC 621.039.514 : 621 calculations for the PWR core. It combines a nodal theory neutron kinetics calculation with transient sub calculations. The present report describes the input for ANTI. INIS descriptors; A CODES, BURNUP, HYDRAULICS

  2. Nuclear norm system identification with missing inputs and outputs Zhang Liua,

    E-Print Network [OSTI]

    Vandenberghe, Lieven

    Nuclear norm system identification with missing inputs and outputs Zhang Liua, , Anders Hanssonb,1 formulation and uses the nuclear norm heuristic for structured low-rank matrix approximation, with the missing of the alternating direc- tion method of multipliers (ADMM) to solve regularized or non-regularized nuclear norm

  3. Assisted Teleoperation Strategies for Aggressively Controlling a Robot Arm with 2D Input

    E-Print Network [OSTI]

    Indiana University

    Assisted Teleoperation Strategies for Aggressively Controlling a Robot Arm with 2D Input Erkang You,hauserk}@indiana.edu Abstract--This paper studies assisted teleoperation techniques for controlling a 6DOF robot arm using click, and overall satisfaction. I. INTRODUCTION Assisted teleoperation allows a user to operate a robot while

  4. Responses of Magnocellular Neurons to Osmotic Stimulation Involves Coactivation of Excitatory and Inhibitory Input: An

    E-Print Network [OSTI]

    Feng, Jianfeng

    of normal rats respond to intra- venous infusions of hypertonic saline with gradual, linear in- creases response to such infusions. We show that a simple computational model can reproduce these responses well, but only if it is assumed that hypertonic infusions coacti- vate excitatory and inhibitory synaptic inputs

  5. Calibration of a distributed flood forecasting model with input uncertainty using a Bayesian framework

    E-Print Network [OSTI]

    Hubbard, Susan

    Calibration of a distributed flood forecasting model with input uncertainty using a Bayesian; revised 20 June 2012; accepted 28 June 2012; published 15 August 2012. [1] In the process of calibrating that the developed method generally is effective in calibrating GBHM parameters and in estimating their associated

  6. Using Feedforward Neural Networks and Forward Selection of Input Variables for an Ergonomics Data

    E-Print Network [OSTI]

    Kaber, David B.

    Using Feedforward Neural Networks and Forward Selection of Input Variables for an Ergonomics Data-gradient algorithm to develop an FNN. This article presents an incremental step in the use of FNNs for ergonomics enhancing the effectiveness of the use of neural networks when observations are missing from ergonomics

  7. Optical induction of plasticity at single synapses reveals input-specific accumulation of CaMKII

    E-Print Network [OSTI]

    Oertner, Thomas

    Optical induction of plasticity at single synapses reveals input-specific accumulation of Ca spines on the same dendrite, providing evidence that CaMKII accumulation at postsynaptic sites induces CaMKII accumulation in spines (8­10) have created much interest because CaMKII activation is both

  8. BPO Inputs to ITER Design Review on Pellet Pacing, RMP and RWM Coils,

    E-Print Network [OSTI]

    BPO Inputs to ITER Design Review on Pellet Pacing, RMP and RWM Coils, and Disruption Mitigation Collaboration Essential Ingredient Contributions to Pellet Pacing USBPO: L. Baylor and P. Parks EU: P. Lang, A the acceptable energy loss from ELMs. Reducing the energy loss to pellet pacing is challenging. DIII

  9. Effects of weld preheat temperature and heat input on type IV failure

    E-Print Network [OSTI]

    Cambridge, University of

    Effects of weld preheat temperature and heat input on type IV failure J. A. Francis*1 , G. M. D of a welded joint due to an enhanced rate of creep void formation in the fine grained or intercritically standpoint, and comparatively little effort has been directed at understanding the effects of welding

  10. Evidence for Interhemispheric Processing of Inputs From the Hands in Human S2 and PV

    E-Print Network [OSTI]

    Krubitzer, Leah A.

    Evidence for Interhemispheric Processing of Inputs From the Hands in Human S2 and PV ELIZABETH S2 and PV. J Neurophysiol 85: 2236­2244, 2001. In the present investigation, we identified cortical somatosensory (S2) and the parietal ventral (PV) areas, was significantly larger for bilateral stimulation than

  11. Elevated CO2 stimulates grassland soil respiration by increasing carbon inputs rather than by enhancing soil

    E-Print Network [OSTI]

    Minnesota, University of

    Elevated CO2 stimulates grassland soil respiration by increasing carbon inputs rather than It is not clear whether the consistent positive effect of elevated CO2 on soil respiration (soil carbon flux, SCF) results from increased plant and microbial activity due to (i) greater C availability through CO2-induced

  12. Estuaries Vol. 18, No. 16, p. 285-314 March 1995 Inputs, Transformations, and Transport of

    E-Print Network [OSTI]

    Boynton, Walter R.

    ) and total phosphorus (TP) for ChesapeakeBay and three of its tributaryestuaries(Potomac, Patuxent-yrrecord for the SusquehannaRiver indicatesthatannual loads of TN and TP have varied by about 2-fold and 4% of the TN and TP inputs to the mainstreamChesapeake and Potomac River. The direct depositionof

  13. Input Substitution and Business Energy Consumption: Evidence from ABS Energy Survey Data

    E-Print Network [OSTI]

    1 Input Substitution and Business Energy Consumption: Evidence from ABS Energy Survey Data Kay Cao applies the system of equations approach to energy consumption modelling using the ABS 2008-09 Energy of equations, energy consumption modelling, elasticity of substitution JEL codes: C51, D24 * Please do

  14. Home Energy Saver Web Site Documentation Version 1.2 Documentation of Calculation Methodology, Input Data,

    E-Print Network [OSTI]

    Methodology, Input Data, and Infrastructure for the Home Energy Saver Web Site Margaret J. Pinckard, Richard E decisions about energy use in their homes. This report describes the underlying methods and data for estimating energy consumption. Using engineering models, the site estimates energy consumption for six major

  15. Position Teaching of a Robot Arm by Demonstration with a Wearable Input Device

    E-Print Network [OSTI]

    Duckett, Tom

    Position Teaching of a Robot Arm by Demonstration with a Wearable Input Device Jacopo Aleotti device for sensing human arm movements to the software con- troller of a robot arm. The method does method of mapping human motions to the robotic arm domain, assuming that a redundant human arm is used

  16. WRAPHydro Data Model: Finding Input Parameters for the Water Rights Analysis Package

    E-Print Network [OSTI]

    Gopalan, Hema

    .3 Loading Junctions .............................................................................59 6.4 HydroID Assignment ........................................................................60 6.5 WRAP input parameters... .....................................................................................82 7.3.1 Selecting streams and placing outlet points ..................................82 7.3.2 Assigning Regional HydroIDs ......................................................84 7.3.3 Merging Areas...

  17. CRYOGENIC TESTING OF THE RF INPUT WAVEGUIDE FOR THE CEBAF UPGRADE CRYOMODULE*

    E-Print Network [OSTI]

    CRYOGENIC TESTING OF THE RF INPUT WAVEGUIDE FOR THE CEBAF UPGRADE CRYOMODULE* T. Hiatt , M. Breth to support the planned CEBAF upgrade at the Jefferson Lab a new cryomodule has been designed. A key component original CEBAF waveguides. A series of tests were performed on the waveguide to include temperature

  18. An architecture for intelligent sensors and fuzzy inputs for fuzzy logic controllers 

    E-Print Network [OSTI]

    Gillespie, Charles Wayne

    1993-01-01T23:59:59.000Z

    in situations where an adequate model of the system is not available. But the controller may only be as good as the quality of the sensor values that provide input to it. The quality of the sensor values is of great concern for designers. Just as in the cases...

  19. Total electron and proton energy input during auroral substorms: Remote sensing with IMAGE-FUV

    E-Print Network [OSTI]

    California at Berkeley, University of

    Total electron and proton energy input during auroral substorms: Remote sensing with IMAGE-FUV B the ionospheric Pedersen conductivity and produces Joule heat- ing in the presence of an electric field. In addition, part of the energy of the auroral particles is dissipated into local heating through dissociation

  20. Increasing the robustness of the input-shaping method using adaptive control

    E-Print Network [OSTI]

    Dharne, Avinash Gopal

    2002-01-01T23:59:59.000Z

    Input-Shaping is a widely used method of suppressing residual vibrations in point-to-point motion of flexible bodies. It is easy to implement and gives good results if the dynamics of the system are known accurately. However, it is not very robust...

  1. Using Relative Costs in Workflow Scheduling to Cope with Input Data Uncertainty

    E-Print Network [OSTI]

    Sakellariou, Rizos

    2012 ACM 978-1-4503-1608-8/12/12 ...$15.00. the heterogeneous resources in order to estimate the exeUsing Relative Costs in Workflow Scheduling to Cope with Input Data Uncertainty Luiz F. Bittencourt the application, a scheduler must distribute the components of the workflow in the avail- able resources using

  2. Input Power Measurement Techniques for Single-Phase Digitally Controlled PFC Rectifiers

    E-Print Network [OSTI]

    resulting in accurate input power measurements are outlined. 1. INTRODUCTION Time-of-use marketing are required for both "time-of-use" billing and system power management purposes. When a digitally controlled. Experimental results comparing and contrasting the perfor- mance of the power measurement architectures

  3. Temperature-aware NBTI modeling and the impact of input vector control on performance degradation

    E-Print Network [OSTI]

    Wang, Yu

    Temperature-aware NBTI modeling and the impact of input vector control on performance degradation performance degradation in dig- ital circuits by affecting PMOS threshold voltage, is emerging as one devices and propose a novel temporal performance degradation model for digital cir- cuits considering

  4. Modeling and Control of Heterogeneous Non-Holonomic Input-Constrained Multiagent Systems

    E-Print Network [OSTI]

    Loizou, Savvas G.

    of multiple-aircraft systems modeled as hybrid systems. With the advent of powerful formal verification toolsModeling and Control of Heterogeneous Non-Holonomic Input-Constrained Multiagent Systems Apollon S of the paper, we develop a modeling framework for heterogeneous multi-agent systems that is based on timed

  5. Measuring the erodibility of soil materials constituting earth embankments: a key input for dams and levees

    E-Print Network [OSTI]

    Boyer, Edmond

    Measuring the erodibility of soil materials constituting earth embankments: a key input for dams of hydraulic embankment structures, including earth embankment dams, levees and dykes, is a major concern all over the world. Still today, about one to two large dams fail every year and hundreds, probably

  6. Control of linear systems subject to input constraints: a polynomial approach. \\Lambda

    E-Print Network [OSTI]

    Henrion, Didier

    rely on the extended Farkas lemma [14], linear programming [32, 9], eigenstructure assignment [8, 9Control of linear systems subject to input constraints: a polynomial approach. \\Lambda Didier Republic Abstract A polynomial approach is pursued for locally stabilizing discrete­time linear systems

  7. Arctic methane sources: Isotopic evidence for atmospheric inputs R. E. Fisher,1

    E-Print Network [OSTI]

    Sheldon, Nathan D.

    Arctic methane sources: Isotopic evidence for atmospheric inputs R. E. Fisher,1 S. Sriskantharajah,1 D. Lowry,1 M. Lanoisellé,1 C. M. R. Fowler,1 R. H. James,2 O. Hermansen,3 C. Lund Myhre,3 A. Stohl,3 J. Greinert,4 P. B. R. NisbetJones,5 J. Mienert,6 and E. G. Nisbet1 Received 16 August 2011

  8. Development of MELCOR Input Techniques for High Temperature Gas-Cooled Reactor Analysis 

    E-Print Network [OSTI]

    Corson, James

    2011-08-08T23:59:59.000Z

    : : : : : : : : : : : : : : : : : : : : : : : : : : : 201 B.3 PBMR CVH volumes coupled to each COR cell : : : : : : : : : : : : : : 202 B.4 Mass of materials in the fuel component (PBMR) : : : : : : : : : : : : : 204 B.5 Mass of graphite in the clad component (PBMR) : : : : : : : : : : : : : 204 B.6... Mass of graphite in the re ector component (PBMR) : : : : : : : : : : : 205 B.7 PBMR supporting structure parameters : : : : : : : : : : : : : : : : : : 206 B.8 PBMR re ector geometry input : : : : : : : : : : : : : : : : : : : : : : : 207 B.9 PBMR...

  9. Analytical input-output and supply chain study of China's coke and steel sectors

    E-Print Network [OSTI]

    Li, Yu, 1976-

    2004-01-01T23:59:59.000Z

    I design an input-output model to investigate the energy supply chain of coal-coke-steel in China. To study the demand, supply, and energy-intensity issues for coal and coke from a macroeconomic perspective, I apply the ...

  10. Membrane potential and spike train statistics depend distinctly on input statistics Robert Rosenbaum1

    E-Print Network [OSTI]

    Azevedo, Ricardo

    - niques such as voltage sensitive dyes and local field po- tentials capture a mixture of subthreshold are most sensitive to modula- tions of a cell's input current when excitation is strong and firing rates. For example, the correlation between two signals obtained from voltage sensitive dyes or local field

  11. Wide input range DC-DC converter with digital control scheme

    E-Print Network [OSTI]

    Harfman Todorovic, Maja

    2006-04-12T23:59:59.000Z

    In this thesis analysis and design of a wide input range DC-DC converter is proposed along with a robust power control scheme. The proposed converter and its control is designed to be compatible to a fuel cell power source, which exhibits 2...

  12. Determining Spatial and Temporal Inputs of Freshwater, Including Submarine Groundwater Discharge,

    E-Print Network [OSTI]

    Miami, University of

    of freshwater into the bay. A second model using Sr2+ /Ca2+ ratios was developed to discern fresh groundwater. Florida . Submarine groundwater discharge Introduction The timing and sources of freshwater deliveryDetermining Spatial and Temporal Inputs of Freshwater, Including Submarine Groundwater Discharge

  13. Information Technology: American National Standard for Information

    E-Print Network [OSTI]

    Information Technology: American National Standard for Information Systems-- Data Format-271 Information Technology: American National Standard for Information Systems-- Data Format for the Interchange Sponsored by Information Access Division Information Technology Laboratory National Institute of Standards

  14. Information Technology: American National Standard for Information

    E-Print Network [OSTI]

    Information Technology: American National Standard for Information Systems-- Data Format 500-275 Information Technology: American National Standard for Information Systems-- Data Format Coleman, and Patrice Yuh, Editors Sponsored by Information Access Division Information Technology

  15. Application of Spatial Data Modeling and Geographical Information Systems (GIS) for Identification of Potential Siting Options for Various Electrical Generation Sources

    SciTech Connect (OSTI)

    Mays, Gary T [ORNL; Belles, Randy [ORNL; Blevins, Brandon R [ORNL; Hadley, Stanton W [ORNL; Harrison, Thomas J [ORNL; Jochem, Warren C [ORNL; Neish, Bradley S [ORNL; Omitaomu, Olufemi A [ORNL; Rose, Amy N [ORNL

    2012-05-01T23:59:59.000Z

    Oak Ridge National Laboratory (ORNL) initiated an internal National Electric Generation Siting Study, which is an ongoing multiphase study addressing several key questions related to our national electrical energy supply. This effort has led to the development of a tool, OR-SAGE (Oak Ridge Siting Analysis for power Generation Expansion), to support siting evaluations. The objective in developing OR-SAGE was to use industry-accepted approaches and/or develop appropriate criteria for screening sites and employ an array of Geographic Information Systems (GIS) data sources at ORNL to identify candidate areas for a power generation technology application. The initial phase of the study examined nuclear power generation. These early nuclear phase results were shared with staff from the Electric Power Research Institute (EPRI), which formed the genesis and support for an expansion of the work to several other power generation forms, including advanced coal with carbon capture and storage (CCS), solar, and compressed air energy storage (CAES). Wind generation was not included in this scope of work for EPRI. The OR-SAGE tool is essentially a dynamic visualization database. The results shown in this report represent a single static set of results using a specific set of input parameters. In this case, the GIS input parameters were optimized to support an economic study conducted by EPRI. A single set of individual results should not be construed as an ultimate energy solution, since US energy policy is very complex. However, the strength of the OR-SAGE tool is that numerous alternative scenarios can be quickly generated to provide additional insight into electrical generation or other GIS-based applications. The screening process divides the contiguous United States into 100 x 100 m (1-hectare) squares (cells), applying successive power generation-appropriate site selection and evaluation criteria (SSEC) to each cell. There are just under 700 million cells representing the contiguous United States. If a cell meets the requirements of each criterion, the cell is deemed a candidate area for siting a specific power generation form relative to a reference plant for that power type. Some SSEC parameters preclude siting a power plant because of an environmental, regulatory, or land-use constraint. Other SSEC assist in identifying less favorable areas, such as proximity to hazardous operations. All of the selected SSEC tend to recommend against sites. The focus of the ORNL electrical generation source siting study is on identifying candidate areas from which potential sites might be selected, stopping short of performing any detailed site evaluations or comparisons. This approach is designed to quickly screen for and characterize candidate areas. Critical assumptions supporting this work include the supply of cooling water to thermoelectric power generation; a methodology to provide an adequate siting footprint for typical power plant applications; a methodology to estimate thermoelectric plant capacity while accounting for available cooling water; and a methodology to account for future ({approx}2035) siting limitations as population increases and demands on freshwater sources change. OR-SAGE algorithms were built to account for these critical assumptions. Stream flow is the primary thermoelectric plant cooling source evaluated in this study. All cooling was assumed to be provided by a closed-cycle cooling (CCC) system requiring makeup water to account for evaporation and blowdown. Limited evaluations of shoreline cooling and the use of municipal processed water (gray) cooling were performed. Using a representative set of SSEC as input to the OR-SAGE tool and employing the accompanying critical assumptions, independent results for the various power generation sources studied were calculated.

  16. Information Security Advisory Information Security, Computing and Information Services

    E-Print Network [OSTI]

    Qiu, Weigang

    Information Security Advisory Information Security, Computing and Information Services security's IT Security Procedures require that non-public University information, including social security numbers and professional information in a secure and appropriate manner. #12;

  17. Method and apparatus for smart battery charging including a plurality of controllers each monitoring input variables

    DOE Patents [OSTI]

    Hammerstrom, Donald J.

    2013-10-15T23:59:59.000Z

    A method for managing the charging and discharging of batteries wherein at least one battery is connected to a battery charger, the battery charger is connected to a power supply. A plurality of controllers in communication with one and another are provided, each of the controllers monitoring a subset of input variables. A set of charging constraints may then generated for each controller as a function of the subset of input variables. A set of objectives for each controller may also be generated. A preferred charge rate for each controller is generated as a function of either the set of objectives, the charging constraints, or both, using an algorithm that accounts for each of the preferred charge rates for each of the controllers and/or that does not violate any of the charging constraints. A current flow between the battery and the battery charger is then provided at the actual charge rate.

  18. Gain, directionality and noise in microwave SQUID amplifiers: Input-output approach

    E-Print Network [OSTI]

    Archana Kamal; John Clarke; Michel Devoret

    2012-06-20T23:59:59.000Z

    We present a new theoretical framework to analyze microwave amplifiers based on the dc SQUID. Our analysis applies input-output theory generalized for Josephson junction devices biased in the running state. Using this approach we express the high frequency dynamics of the SQUID as a scattering between the participating modes. This enables us to elucidate the inherently nonreciprocal nature of gain as a function of bias current and input frequency. This method can, in principle, accommodate an arbitrary number of Josephson harmonics generated in the running state of the junction. We report detailed calculations taking into account the first few harmonics that provide simple semi-quantitative results showing a degradation of gain, directionality and noise of the device as a function of increasing signal frequency. We also discuss the fundamental limits on device performance and applications of this formalism to real devices.

  19. EPICS Input/Output Controller (IOC) application developer`s guide. APS Release 3.12

    SciTech Connect (OSTI)

    Kraimer, M.R.

    1994-11-01T23:59:59.000Z

    This document describes the core software that resides in an Input/Output Controller (IOC), one of the major components of EPICS. The basic components are: (OPI) Operator Interface; this is a UNIX based workstation which can run various EPICS tools; (IOC) Input/Output Controller; this is a VME/VXI based chassis containing a Motorola 68xxx processor, various I/O modules, and VME modules that provide access to other I/O buses such as GPIB, (LAN), Local Area Network; and this is the communication network which allows the IOCs and OPIs to communicate. Epics provides a software component, Channel Access, which provides network transparent communication between a Channel Access client and an arbitrary number of Channel Access servers.

  20. The variable input coupler for the Fermilab Vertical Cavity Test Facility

    SciTech Connect (OSTI)

    Champion, Mark; Ginsburg, Camille M.; Lunin, Andrei; /Fermilab; Moeller, Wolf-Dietrich; /DESY; Nehring, Roger; Poloubotko, Valeri; /Fermilab

    2008-09-01T23:59:59.000Z

    A variable input coupler has been designed for the Fermilab vertical cavity test facility (VCTF), a facility for CW RF vertical testing of bare ILC 1.3 GHz 9-cell SRF cavities at 2K, to provide some flexibility in the test stand RF measurements. The variable coupler allows the cavity to be critically coupled for all RF tests, including all TM010 passband modes, which will simplify or make possible the measurement of those modes with very low end-cell fields, e.g., {pi}/9 mode. The variable coupler assembly mounts to the standard input coupler port on the cavity, and uses a cryogenic motor submerged in superfluid helium to control the antenna position. The RF and mechanical design and RF test results are described.

  1. A New Ensemble of Perturbed-Input-Parameter Simulations by the Community Atmosphere Model

    SciTech Connect (OSTI)

    Covey, C; Brandon, S; Bremer, P T; Domyancis, D; Garaizar, X; Johannesson, G; Klein, R; Klein, S A; Lucas, D D; Tannahill, J; Zhang, Y

    2011-10-27T23:59:59.000Z

    Uncertainty quantification (UQ) is a fundamental challenge in the numerical simulation of Earth's weather and climate, and other complex systems. It entails much more than attaching defensible error bars to predictions: in particular it includes assessing low-probability but high-consequence events. To achieve these goals with models containing a large number of uncertain input parameters, structural uncertainties, etc., raw computational power is needed. An automated, self-adapting search of the possible model configurations is also useful. Our UQ initiative at the Lawrence Livermore National Laboratory has produced the most extensive set to date of simulations from the US Community Atmosphere Model. We are examining output from about 3,000 twelve-year climate simulations generated with a specialized UQ software framework, and assessing the model's accuracy as a function of 21 to 28 uncertain input parameter values. Most of the input parameters we vary are related to the boundary layer, clouds, and other sub-grid scale processes. Our simulations prescribe surface boundary conditions (sea surface temperatures and sea ice amounts) to match recent observations. Fully searching this 21+ dimensional space is impossible, but sensitivity and ranking algorithms can identify input parameters having relatively little effect on a variety of output fields, either individually or in nonlinear combination. Bayesian statistical constraints, employing a variety of climate observations as metrics, also seem promising. Observational constraints will be important in the next step of our project, which will compute sea surface temperatures and sea ice interactively, and will study climate change due to increasing atmospheric carbon dioxide.

  2. Leaf dynamics, stemflow and throughfall water and nutrient inputs in a subtropical savanna parkland, Texas

    E-Print Network [OSTI]

    Angerer, Jay Peter

    1991-01-01T23:59:59.000Z

    for K, followed by Mg, P, N and Ca. Annual throughfall and stemflow inputs (both nutrients and water) differed among clusters as a result of differing shrub cluster size, total canopy area, and species composition. Throughfall generally made up 97... of Shrub Clusters Plant abundance and size Biomass above BTF collectors Potential Leachability Calcium Magnesium Potassium Nitrogen Phosphorus Bulk Precipitation and Bulk Throughfall Chemistry Nutrient concentrations Regression relationships...

  3. Algorithm 2: p-adic Lifting with Rational Reconstruction Input: Matrix A Qnn

    E-Print Network [OSTI]

    Algorithm 2: p-adic Lifting with Rational Reconstruction Input: Matrix A Qn×n [z], vector B Qn [z in A and B. 2. Pick a prime p which splits m(z) and find all roots r1, . . . , rd of m(z) mod p. 3. Set k := 1, error := B and compute A-1 (ri) mod p for i = 1, 2, . . . , d. If A(rj) is not invertible (mod p

  4. TRANSPORT THEORY AND STATISTICAL PHYSICS, 23(5), 671-700 (1994) OPTIMIZATION OF SOLAR RADIATION INPUT IN FOREST

    E-Print Network [OSTI]

    Myneni, Ranga B.

    1994-01-01T23:59:59.000Z

    biomass through photosynthesis. In general, the supply of radiant energy sets a limit to potential INPUT IN FOREST CANOPY AS A TOOL FOR PLANTING/CUTTING OF TREES Yu. Knyazikhin', (l) A. Marshak,(1) D on the input coefficientsof the derived equation. 1. INTRODUCTION In a plant canopy,the aboveground biomass

  5. DualSamplingRate Moving Horizon Control of a Class of Linear Systems with Input Saturation and Plant Uncertainty --

    E-Print Network [OSTI]

    Dual­Sampling­Rate Moving Horizon Control of a Class of Linear Systems with Input Saturation­sampling­rate moving horizon control scheme for a class of linear, continuous­time plants with strict input saturation, it is not computed by a simple linear feedback law, but as a solution of an optimal control problem. As a result

  6. Integral Input-to-State Stability of the Drive-Train of a Wind Turbine Chen Wang and George Weiss

    E-Print Network [OSTI]

    Sontag, Eduardo

    Abstract-- This paper investigates the stability of a variable- speed wind turbine operating under low of the generator torque. We show that the turbine system is integral input-to-state stable. I. INTRODUCTIONIntegral Input-to-State Stability of the Drive-Train of a Wind Turbine Chen Wang and George Weiss

  7. On the Patterns of Wind-Power Input to the Ocean Circulation FABIEN ROQUET AND CARL WUNSCH

    E-Print Network [OSTI]

    Wunsch, Carl

    On the Patterns of Wind-Power Input to the Ocean Circulation FABIEN ROQUET AND CARL WUNSCH received 1 February 2011, in final form 12 July 2011) ABSTRACT Pathways of wind-power input into the ocean pumping, with a pattern determined by the wind curl rather than the wind itself. Regions of power

  8. Effect of ocean surface currents on wind stress, heat flux, and wind power input to the ocean

    E-Print Network [OSTI]

    Thompson, LuAnne

    Effect of ocean surface currents on wind stress, heat flux, and wind power input to the ocean, J. T., and L. Thompson (2006), Effect of ocean surface currents on wind stress, heat flux, and wind power input to the ocean, Geophys. Res. Lett., 33, L09604, doi:10.1029/2006GL025784. 1. Introduction [2

  9. Abstract The series-input parallel-output dc-dc converter combination provides inherent sharing among the converters.

    E-Print Network [OSTI]

    Kimball, Jonathan W.

    for advanced digital loads. With this control in place, a "super-matched" current sharing control emerges gain produces a "super-match" characteristic that holds even during transient conditions, limited only to function independently, four input capacitors decouple the inputs. (It is advantageous to interleave

  10. Quality assurance with the ISFH-Input/Output-Procedure 6-year-experience with 14 solar thermal systems

    E-Print Network [OSTI]

    Quality assurance with the ISFH-Input/Output-Procedure 6-year-experience with 14 solar thermal the confidence in solar thermal energy. The so called Input/Output-Procedure is controlling the solar heat systems. The simulation model was validated with measured data and a lot of failures in 11 solar thermal

  11. Information Records Information Management (RIM)

    E-Print Network [OSTI]

    Alpay, S. Pamir

    10/2012 Records & Information Management (RIM) Records Information Management (RIM) encompasses all, and properly manage all records from creation to disposition. Record Management Strategies Lock your offices, and properly destroy when the record retention period is met. Establish a plan for how to manage and protect

  12. Assessment of Gasification-Based Biorefining at Kraft Pulp and Paper Mills in the United States, Part A: Background and Assumptions

    SciTech Connect (OSTI)

    Larson, E. D.; Consonni, S.; Katofsky, R. E.; Iisa, K.; Frederick, W. J., Jr.

    2008-11-01T23:59:59.000Z

    Commercialization of black liquor and biomass gasification technologies is anticipated in the 2010-2015 time frame, and synthesis gas from gasifiers can be converted into liquid fuels using catalytic synthesis technologies that are already commercially established in the gas-to-liquids or coal-to-liquids industries. This set of two papers describes key results from a major assessment of the prospective energy, environmental, and financial performance of commercial gasification-based biorefineries integrated with kraft pulp and paper mills [1]. Seven detailed biorefinery designs were developed for a reference mill in the southeastern United States, together with the associated mass/energy balances, air emissions estimates, and capital investment requirements. The biorefineries provide chemical recovery services and co-produce process steam for the mill, some electricity, and one of three liquid fuels: a Fischer-Tropsch synthetic crude oil (which could be refined to vehicle fuels at an existing petroleum refinery), dimethyl ether (a diesel engine fuel or propane substitute), or an ethanol-rich mixed-alcohol product. This paper describes the key assumptions that underlie the biorefinery designs. Part B will present analytical results.

  13. Computing Information

    E-Print Network [OSTI]

    There is also an older FAQ, but the information there may be out of date. ... and you have previously set your security challenge questions, you can set a new ...

  14. Technical Information 

    E-Print Network [OSTI]

    Unknown

    2011-08-17T23:59:59.000Z

    Research shows that people have difficulty forgetting inferences they make after reading a passage, even when the information that the inferences are based on is later known to be untrue. This dissertation examined the effects of these inferences...

  15. Information Security

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2011-06-20T23:59:59.000Z

    The protection and control of classified information is critical to our nation’s security. This Order establishes requirements and responsibilities for Department of Energy (DOE) Departmental Elements, including the National Nuclear Security Administration (NNSA), to protect and control classified information as required by statutes, regulation, Executive Orders, government-wide policy directives and guidelines, and DOE policy and directives. Cancels DOE M 470.4-4A Chg except for Section D.

  16. Development of the seismic input for use in the seismic safety margins research program

    SciTech Connect (OSTI)

    Bernreuter, D.L.; Chung, D.H.

    1980-01-29T23:59:59.000Z

    This paper briefly outlines the overall systems approach being developed for the Seismic Safety Margins Research Program. The unique features of the approach being taken to reduce the uncertainty in the seismic input for this program are discussed. These unique features will include extensive use of expert opinion, earthquake rupture simulation studies and the way in which the seismic hazard is incorporated into the overall systems analysis. Some very preliminary results are also given for the Zion site which is the power plant chosen for analysis in Phase I of the program.

  17. RELAP5/MOD3 code manual: User`s guide and input requirements. Volume 2

    SciTech Connect (OSTI)

    NONE

    1995-08-01T23:59:59.000Z

    The RELAP5 code has been developed for best estimate transient simulation of light water reactor coolant systems during postulated accidents. The code models the coupled behavior of the reactor coolant system and the core for loss-of-coolant accidents, and operational transients, such as anticipated transient without scram, loss of offsite power, loss of feedwater, and loss of flow. A generic modeling approach is used that permits simulating a variety of thermal hydraulic systems. Control system and secondary system components are included to permit modeling of plant controls, turbines, condensers, and secondary feedwater systems. Volume II contains detailed instructions for code application and input data preparation.

  18. Cascade design of single input single output systems using H? and quantitative feedback theory methodologies

    E-Print Network [OSTI]

    Lal, Mayank

    2005-02-17T23:59:59.000Z

    . It is shown using QFT methodology that there aren?t any advantages gained in the low frequencies with the use of cascaded design. In effect it is concluded that if the design is properly executed a single loop controller closed from the output to the input... In the fourth part the H? methodology was used to design a two loop control structure. The idea was to compare this design to the QFT design. It was seen that H? generated redundant controllers and pre filters...

  19. Table A50. Total Inputs of Energy for Heat, Power, and Electricity Generatio

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History Download Series History Definitions, SourcesType"A50. Total Inputs

  20. Table A45. Total Inputs of Energy for Heat, Power, and Electricity Generation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWestQuantity of2" "Total Inputs

  1. Passive solar energy information user study

    SciTech Connect (OSTI)

    Belew, W.W.; Wood, B.L.; Marle, T.L.; Reinhardt, C.L.

    1980-11-01T23:59:59.000Z

    The results of a series of telephone interviews with groups of users of information on passive solar heating and cooling are described. These results, part of a larger study on many different solar technologies, identify types of information each group needed and the best ways to get information to each group. The overall study provides baseline data about information needs in the solar community. An earlier study identified the information user groups in the solar community and the priority (to accelerate solar energy commercialization) of getting information to each group. In the current study only high-priority groups were examined. Results from seven passive groups respondents are analyzed in this report: Federally Funded Researchers, Manufacturer Representatives, Architects, Builders, Educators, Cooperative Extension Service County Agents, and Homeowners. The data will be used as input to the determination of information products and services the Solar Energy Research Institute, the Solar Energy Information Data Bank Network, and the entire information outreach community should be preparing and disseminating.

  2. http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1829&pid=1824&topicname=Merge_(Data_Management) Merge Combines input features from multiple input sources (of the same datatype) into a single,

    E-Print Network [OSTI]

    Brownstone, Rob

    http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1829&pid=1824&topicname://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1829&pid=1824&topicname=Merge_(Data_Management) Parameters: Input Datasets

  3. Gaussian Process Priors With Uncertain Inputs: Application to Multiple-Step Ahead Time Series Forecasting

    E-Print Network [OSTI]

    Girard, A.

    Girard,A. Rasmussen,C.E. Quinonero-Candela,J. Murray-Smith,R. Advances in Neural Information Processing Systems 15, Vancouver MIT Press

  4. Information-Theoretic Key Agreement of Multiple Terminals -Part II: Channel Model

    E-Print Network [OSTI]

    Anantharam, Venkat

    1 Information-Theoretic Key Agreement of Multiple Terminals - Part II: Channel Model Amin Aminzadeh the channel model. In the channel model, a set of two or more terminals wish to create a shared secret key that is information-theoretically secure from an eavesdropper. The first terminal can choose a sequence of inputs

  5. Faculty Information Security Guide

    E-Print Network [OSTI]

    Myers, Lawrence C.

    Faculty Information Security Guide Dartmouth Your information is vitally important to your teaching protect your information. THE DARTMOUTH INFORMATION SECURITY COMMITTEE The Dartmouth Information Security Committee (DISC) meets monthly to assess vulnerabilities of information security, and to develop and revise

  6. Comments on Supervised Feature Selection by Clustering Using Conditional Mutual Information-based

    E-Print Network [OSTI]

    Bailey, James

    the reported work, we characterize the specific conditions under which the assumptions used in the proof which the reported theoretical results hold true. We discuss several such conditions in this paper. 1 of dependency, be it linear or non-linear. Also of interest is the conditional mutual information (CMI) between

  7. Reconciling Scratch Space Consumption, Exposure, and Volatility to Achieve Timely Staging of Job Input Data

    SciTech Connect (OSTI)

    Monti, Henri [Virginia Polytechnic Institute and State University (Virginia Tech); Butt, Ali R [Virginia Polytechnic Institute and State University (Virginia Tech); Vazhkudai, Sudharshan S [ORNL

    2010-04-01T23:59:59.000Z

    Innovative scientific applications and emerging dense data sources are creating a data deluge for high-end computing systems. Processing such large input data typically involves copying (or staging) onto the supercomputer's specialized high-speed storage, scratch space, for sustained high I/O throughput. The current practice of conservatively staging data as early as possible makes the data vulnerable to storage failures, which may entail re-staging and consequently reduced job throughput. To address this, we present a timely staging framework that uses a combination of job startup time predictions, user-specified intermediate nodes, and decentralized data delivery to coincide input data staging with job start-up. By delaying staging to when it is necessary, the exposure to failures and its effects can be reduced. Evaluation using both PlanetLab and simulations based on three years of Jaguar (No. 1 in Top500) job logs show as much as 85.9% reduction in staging times compared to direct transfers, 75.2% reduction in wait time on scratch, and 2.4% reduction in usage/hour.

  8. Down on the farm. An analysis of energy inputs in Tennessee Valley farms

    SciTech Connect (OSTI)

    Camp, W.A.

    1985-01-01T23:59:59.000Z

    There are 150,159 farms in the 170 power counties of TVA; the largest percentage are in the Central District (26.4%). The majority of the farm operators reside on the farm they operate (101,592 operators or 67.7%). Individual or family-owned farms represent the largest type of farm organization (134,111 farms or 89.3%). Over 71,000 farms use electricity in actual farm production; farm expenses for electricity totaled $37,040,000 in 1982. Approximately 18% of the energy requirements in the American food system is used for actual farm production, while 82% goes for processing, marketing, transporting, and preparing food for consumption. Field crop production in the Tennessee Valley expends the majority of the gasoline (91.4%) and diesel (85.8%) inputs in the farm system. Livestock production consumes the majority of the electricity (89.9%), L.P. gas (70.0%), fuel oil (97.2%), and liquid fuel (99.3%). Dairy cow production is the most energy-intensive production in livestock. It consumes 63.4% of the gasoline, 78.6% of the diesel, 40.5% of the L.P. gas, and 64.5% of the electricity inputs in livestock.

  9. Using regression equations to determine the relative importance of inputs to energy simulation tools

    SciTech Connect (OSTI)

    O'Neill, P.J.; Crawley, D.B.; Schliesing, J.S.

    1991-08-01T23:59:59.000Z

    A set of statistical regression equations was developed to predict relative heating and cooling loads of external zones of commercial buildings. The equations were derived from the coil loads predicted by several thousand DOE-2 simulations. These equations formed the basis for the building envelope criteria in ASHRAE/IES Standard 90.1-1989, Energy Efficient Design of New Commercial Buildings Except Low-Rise Residential Buildings.'' Because these equations predict relative loads, they can be used to determine the relative importance of a broad range of envelope parameters across a variety of climate types. This paper presents the procedure used to develop the equations. The relative importance of all the major loads input variables are discussed for a sample office building, for a broad range of climates. A load sensitivity analysis is then performed, which permits direct comparison of key envelope parameters. The analysis results provide general guidance to DOE-2 users as to the relative importance of specific loads input variables. 6 refs., 8 figs.

  10. The CO2 Content of Consumption Across US Regions: A Multi-Regional Input-Output (MRIO) Approach

    E-Print Network [OSTI]

    Caron, J.

    We improve on existing estimates of the carbon dioxide (CO2) content of consumption across regions of the United States. Using a multi-regional input-output (MRIO) framework, we estimate the direct and indirect CO2 emissions ...

  11. Computer code input for thermal hydraulic analysis of Multi-Function Waste Tank Facility Title II design

    SciTech Connect (OSTI)

    Cramer, E.R.

    1994-10-01T23:59:59.000Z

    The input files to the P/Thermal computer code are documented for the thermal hydraulic analysis of the Multi-Function Waste Tank Facility Title II design analysis.

  12. Quantification of uncertainty in reservoir simulations influenced by varying input geological parameters, Maria Reservoir, CaHu Field 

    E-Print Network [OSTI]

    Schepers, Karine Chrystel

    2005-02-17T23:59:59.000Z

    QUANTIFICATION OF UNCERTAINTY IN RESERVOIR SIMULATIONS INFLUENCED BY VARYING INPUT GEOLOGICAL PARAMETERS, MARIA RESERVOIR, CAHU FIELD A Thesis by KARINE CHRYSTEL SCHEPERS Submitted to the Office of Graduate... BY VARYING INPUT GEOLOGICAL PARAMETERS, MARIA RESERVOIR, CAHU FIELD A Thesis by KARINE CHRYSTEL SCHEPERS Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree...

  13. Quantification of uncertainty in reservoir simulations influenced by varying input geological parameters, Maria Reservoir, CaHu Field

    E-Print Network [OSTI]

    Schepers, Karine Chrystel

    2005-02-17T23:59:59.000Z

    QUANTIFICATION OF UNCERTAINTY IN RESERVOIR SIMULATIONS INFLUENCED BY VARYING INPUT GEOLOGICAL PARAMETERS, MARIA RESERVOIR, CAHU FIELD A Thesis by KARINE CHRYSTEL SCHEPERS Submitted to the Office of Graduate... BY VARYING INPUT GEOLOGICAL PARAMETERS, MARIA RESERVOIR, CAHU FIELD A Thesis by KARINE CHRYSTEL SCHEPERS Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree...

  14. Information Security

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2011-06-29T23:59:59.000Z

    This Order establishes requirements and responsibilities for Department of Energy (DOE) Departmental Elements, including the National Nuclear Security Administration (NNSA), to protect and control classified information as required by statutes, regulation, Executive Orders, government-wide policy directives and guidelines, and DOE policy and directives. Admin Chg 2, dated 5-15-15, cancels Admin Chg 1.

  15. CORPORATETECHNOLOGY Information &

    E-Print Network [OSTI]

    Popeea, Corneliu - Chair for Foundations of Software Reliability and Theoretical Computer Science

    s CORPORATETECHNOLOGY Information & Communications Neural Computation SIEMENS Structural Equation Modelling of fMRI-Data Norbert Galm CT IC 4 11.11.2003 #12;SIEMENS © Siemens AG, CT IC 4 - all rights in fMRI experiments the BOLD signal (blood oxygen level dependent) is measured: #12;SIEMENS © Siemens

  16. LEARNING... INFORMATION

    E-Print Network [OSTI]

    Strathclyde, University of

    in black and white/ double-sided. To set up a Google Cloud Printer to connect to printers in the LibraryYOUR LIBRARY YOUR LEARNING... YOUR INFORMATION SERVICES YOUR RESOURCES... GOOGLE CLOUD PRINT You can use Google Cloud Print to print from your Chromebook, phone, tablet and Google Apps. PLEASE NOTE

  17. Toolbox for reconstructing quantum theory from rules on information acquisition

    E-Print Network [OSTI]

    Hoehn, Philipp A

    2015-01-01T23:59:59.000Z

    We develop a novel operational approach for reconstructing (qubit) quantum theory from elementary rules on information acquisition. The focus lies on an observer O interrogating a system S with binary questions and S's state is taken as O's `catalogue of knowledge' about S. The mathematical tools of the framework are simple and we attempt to highlight all underlying assumptions to provide a handle for future generalizations. Five principles are imposed, asserting (1) a limit on the amount of information available to O; (2) the mere existence of complementary information; (3) the possibility for O's information to be `in superposition'; (4) O's information to be preserved in between interrogations; and, (5) continuity of time evolution. This approach permits a constructive derivation of quantum theory, elucidating how the ensuing independence, complementarity and compatibility structure of O's questions matches that of projective measurements in quantum theory, how entanglement and monogamy of entanglement and...

  18. Phantom cascades: The effect of hidden nodes on information diffusion

    E-Print Network [OSTI]

    Belák, Václav; Sala, Alessandra; Morrison, Donn

    2015-01-01T23:59:59.000Z

    Research on information diffusion generally assumes complete knowledge of the underlying network. However, in the presence of factors such as increasing privacy awareness, restrictions on application programming interfaces (APIs) and sampling strategies, this assumption rarely holds in the real world which in turn leads to an underestimation of the size of information cascades. In this work we study the effect of hidden network structure on information diffusion processes. We characterise information cascades through activation paths traversing visible and hidden parts of the network. We quantify diffusion estimation error while varying the amount of hidden structure in five empirical and synthetic network datasets and demonstrate the effect of topological properties on this error. Finally, we suggest practical recommendations for practitioners and propose a model to predict the cascade size with minimal information regarding the underlying network.

  19. A rapid method for measuring local groundwater-surface water interactions and identifying potential non-point source pollution inputs to rivers

    E-Print Network [OSTI]

    Butler, Christopher Aaron

    2009-01-01T23:59:59.000Z

    Potential Non-Point Source Pollution Inputs to Rivers APotential Non-Point Source Pollution Inputs to Rivers byof non-point source pollution to surface waters via the

  20. Information Security Advisory Information Security, Computing and Information Services

    E-Print Network [OSTI]

    Qiu, Weigang

    Information Security Advisory Information Security, Computing and Information Services security.cuny.edu Published: November 2014 Holiday Season Phishing Scams and Malware Campaigns CUNY/CIS Information Security.cuny.edu under "CUNY Issued Security Advisories" Visit the Federal Trade Commission's Consumer Information page

  1. Response of bare strange stars to energy input onto their surfaces

    E-Print Network [OSTI]

    Vladimir V. Usov

    2001-07-02T23:59:59.000Z

    We study numerically the thermal emission of $e^+e^-$ pairs from a bare strange star heated by energy input onto its surface; heating starts at some moment, and is steady afterwards. The thermal luminosity in $e^+e^-$ pairs increases to some constant value. The rise time and the steady thermal luminosity are evaluated. Both normal and colour superconducting states of strange quark matter are considered. The results are used to test the magnetar model of soft gamma-ray repeaters where the bursting activity is explained by fast decay of superstrong magnetic fields and heating of the strange star surface. It is shown that the rise times observed in typical bursts may be explained in this model only if strange quark matter is a superconductor with an energy gap of more that 1 MeV.

  2. Visualizations, Screen Shots, and Data Input Files from VisIT

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

    VisIt is a free interactive parallel visualization and graphical analysis tool for viewing scientific data on Unix and PC platforms. Users can quickly generate visualizations from their data, animate them through time, manipulate them, and save the resulting images for presentations. VisIt contains a rich set of visualization features so that you can view your data in a variety of ways. It can be used to visualize scalar and vector fields defined on two- and three-dimensional (2D and 3D) structured and unstructured meshes. VisIt was designed to handle very large data set sizes in the terascale range and yet can also handle small data sets in the kilobyte range. The VisIT website provides a gallery of vizualizations, another set of screen shots, and allows downloads of data files for input and source codes and executables for the VisIT software suite.

  3. Device for modular input high-speed multi-channel digitizing of electrical data

    DOE Patents [OSTI]

    VanDeusen, A.L.; Crist, C.E.

    1995-09-26T23:59:59.000Z

    A multi-channel high-speed digitizer module converts a plurality of analog signals to digital signals (digitizing) and stores the signals in a memory device. The analog input channels are digitized simultaneously at high speed with a relatively large number of on-board memory data points per channel. The module provides an automated calibration based upon a single voltage reference source. Low signal noise at such a high density and sample rate is accomplished by ensuring the A/D converters are clocked at the same point in the noise cycle each time so that synchronous noise sampling occurs. This sampling process, in conjunction with an automated calibration, yields signal noise levels well below the noise level present on the analog reference voltages. 1 fig.

  4. Improving the Availability of Supercomputer Job Input Data Using Temporal Replication

    SciTech Connect (OSTI)

    Wang, Chao [ORNL; Zhang, Zhe [ORNL; Ma, Xiaosong [ORNL; Vazhkudai, Sudharshan S [ORNL; Mueller, Frank [North Carolina State University

    2009-06-01T23:59:59.000Z

    Storage systems in supercomputers are a major reason for service interruptions. RAID solutions alone cannot provide sufficient protection as (1) growing average disk recovery times make RAID groups increasingly vulnerable to disk failures during reconstruction, and (2) RAID does not help with higher-level faults such failed I/O nodes. This paper presents a complementary approach based on the observation that files in the supercomputer scratch space are typically accessed by batch jobs whose execution can be anticipated. Therefore, we propose to transparently, selectively, and temporarily replicate 'active' job input data by coordinating the parallel file system with the batch job scheduler. We have implemented the temporal replication scheme in the popular Lustre parallel file system and evaluated it with real-cluster experiments. Our results show that the scheme allows for fast online data reconstruction, with a reasonably low overall space and I/O bandwidth overhead.

  5. Device for modular input high-speed multi-channel digitizing of electrical data

    DOE Patents [OSTI]

    VanDeusen, Alan L. (Lee's Summit, MO); Crist, Charles E. (Waxahachie, TX)

    1995-09-26T23:59:59.000Z

    A multi-channel high-speed digitizer module converts a plurality of analog signals to digital signals (digitizing) and stores the signals in a memory device. The analog input channels are digitized simultaneously at high speed with a relatively large number of on-board memory data points per channel. The module provides an automated calibration based upon a single voltage reference source. Low signal noise at such a high density and sample rate is accomplished by ensuring the A/D converters are clocked at the same point in the noise cycle each time so that synchronous noise sampling occurs. This sampling process, in conjunction with an automated calibration, yields signal noise levels well below the noise level present on the analog reference voltages.

  6. Using Whole-House Field Tests to Empirically Derive Moisture Buffering Model Inputs

    SciTech Connect (OSTI)

    Woods, J.; Winkler, J.; Christensen, D.; Hancock, E.

    2014-08-01T23:59:59.000Z

    Building energy simulations can be used to predict a building's interior conditions, along with the energy use associated with keeping these conditions comfortable. These models simulate the loads on the building (e.g., internal gains, envelope heat transfer), determine the operation of the space conditioning equipment, and then calculate the building's temperature and humidity throughout the year. The indoor temperature and humidity are affected not only by the loads and the space conditioning equipment, but also by the capacitance of the building materials, which buffer changes in temperature and humidity. This research developed an empirical method to extract whole-house model inputs for use with a more accurate moisture capacitance model (the effective moisture penetration depth model). The experimental approach was to subject the materials in the house to a square-wave relative humidity profile, measure all of the moisture transfer terms (e.g., infiltration, air conditioner condensate) and calculate the only unmeasured term: the moisture absorption into the materials. After validating the method with laboratory measurements, we performed the tests in a field house. A least-squares fit of an analytical solution to the measured moisture absorption curves was used to determine the three independent model parameters representing the moisture buffering potential of this house and its furnishings. Follow on tests with realistic latent and sensible loads showed good agreement with the derived parameters, especially compared to the commonly-used effective capacitance approach. These results show that the EMPD model, once the inputs are known, is an accurate moisture buffering model.

  7. Enhancing e-waste estimates: Improving data quality by multivariate Input–Output Analysis

    SciTech Connect (OSTI)

    Wang, Feng, E-mail: fwang@unu.edu [Institute for Sustainability and Peace, United Nations University, Hermann-Ehler-Str. 10, 53113 Bonn (Germany); Design for Sustainability Lab, Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628CE Delft (Netherlands); Huisman, Jaco [Institute for Sustainability and Peace, United Nations University, Hermann-Ehler-Str. 10, 53113 Bonn (Germany); Design for Sustainability Lab, Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628CE Delft (Netherlands); Stevels, Ab [Design for Sustainability Lab, Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628CE Delft (Netherlands); Baldé, Cornelis Peter [Institute for Sustainability and Peace, United Nations University, Hermann-Ehler-Str. 10, 53113 Bonn (Germany); Statistics Netherlands, Henri Faasdreef 312, 2492 JP Den Haag (Netherlands)

    2013-11-15T23:59:59.000Z

    Highlights: • A multivariate Input–Output Analysis method for e-waste estimates is proposed. • Applying multivariate analysis to consolidate data can enhance e-waste estimates. • We examine the influence of model selection and data quality on e-waste estimates. • Datasets of all e-waste related variables in a Dutch case study have been provided. • Accurate modeling of time-variant lifespan distributions is critical for estimate. - Abstract: Waste electrical and electronic equipment (or e-waste) is one of the fastest growing waste streams, which encompasses a wide and increasing spectrum of products. Accurate estimation of e-waste generation is difficult, mainly due to lack of high quality data referred to market and socio-economic dynamics. This paper addresses how to enhance e-waste estimates by providing techniques to increase data quality. An advanced, flexible and multivariate Input–Output Analysis (IOA) method is proposed. It links all three pillars in IOA (product sales, stock and lifespan profiles) to construct mathematical relationships between various data points. By applying this method, the data consolidation steps can generate more accurate time-series datasets from available data pool. This can consequently increase the reliability of e-waste estimates compared to the approach without data processing. A case study in the Netherlands is used to apply the advanced IOA model. As a result, for the first time ever, complete datasets of all three variables for estimating all types of e-waste have been obtained. The result of this study also demonstrates significant disparity between various estimation models, arising from the use of data under different conditions. It shows the importance of applying multivariate approach and multiple sources to improve data quality for modelling, specifically using appropriate time-varying lifespan parameters. Following the case study, a roadmap with a procedural guideline is provided to enhance e-waste estimation studies.

  8. Information Security

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2007-06-29T23:59:59.000Z

    Establishes security requirements for the protection and control of information and matter required to be classified or controlled by statutes, regulations, or Department of Energy directives. Section E, Technical Surveillance Countermeasures Program, is Official Use Only. Please contact the DOE Office of Health, Safety and Security at 301-903-0292 if your official duties require you to have access to this part of the directive. Cancels: DOE M 471.2-1B, DOE M 471.2-1C, DOE M 471.2-4, and DOE O 471.2A

  9. Information Security

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2005-08-26T23:59:59.000Z

    This Manual establishes security requirements for the protection and control of information and matter required to be classified or controlled by statutes, regulations, or Department of Energy directives. Attachment E, Technical Surveillance Countermeasures Program, is for Official Use Only. Contact the Office of Security and Safety Performance Assurance at 301-903-3653 if your official duties require you to have access to this part of the directive. Cancels: DOE M 471.2-1B, DOE M 471.2-1C, DOE M 471.2-4, and DOE O 471.2A.

  10. Computing Information

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting theCommercialization andComputer Simulations IndicateInformation From here

  11. Contact Information

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration would likeConstitution And Bylaws | NationalContact Information · President

  12. Supplemental Information

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our InstagramStructure ofIndustrial TechnologiesSupplemental Information All

  13. Ordering Information

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400,Information55,035OAK GROVE C OAL D EGAS CEDAREnergy9:-

  14. Ordering Information

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400,Information55,035OAK GROVE C OAL D EGAS CEDAREnergy9:-I, In

  15. Ordering Information

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400,Information55,035OAK GROVE C OAL D EGAS CEDAREnergy9:-I,

  16. Information Sciences

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn Other News link toInfluence ofQuick Search3 Information

  17. Active solar heating and cooling information user study

    SciTech Connect (OSTI)

    Belew, W.W.; Wood, B.L.; Marle, T.L.; Reinhardt, C.L.

    1981-01-01T23:59:59.000Z

    The results of a series of telephone interviews with groups of users of information on active solar heating and cooling (SHAC). An earlier study identified the information user groups in the solar community and the priority (to accelerate solar energy commercialization) of getting information to each group. In the current study only high-priority groups were examined. Results from 19 SHAC groups respondents are analyzed in this report: DOE-Funded Researchers, Non-DOE-Funded Researchers, Representatives of Manufacturers (4 groups), Distributors, Installers, Architects, Builders, Planners, Engineers (2 groups), Representatives of Utilities, Educators, Cooperative Extension Service County Agents, Building Owners/Managers, and Homeowners (2 groups). The data will be used as input to the determination of information products and services the Solar Energy Research Institute, the Solar Energy Information Data Bank Network, and the entire information outreach community should be preparing and disseminating.

  18. JOB INFORMATION AND EARNINGS HISTORY General Information

    E-Print Network [OSTI]

    Guenther, Frank

    JOB INFORMATION AND EARNINGS HISTORY General Information Student Job Information and Earnings information for each job held by a student. This information can be accessed either through the Student to view all students hired under that mail code. By clicking on a student's specific job number, you

  19. School of Information Studies Information Science & Technology (IST) Major

    E-Print Network [OSTI]

    Saldin, Dilano

    School of Information Studies Information Science & Technology (IST in information science, information architecture, human factors in information seeking of the concepts and tools of information science, information architecture, and information

  20. VERIFICATION OF THE KEPLER INPUT CATALOG FROM ASTEROSEISMOLOGY OF SOLAR-TYPE STARS

    SciTech Connect (OSTI)

    Verner, G. A.; Chaplin, W. J.; Elsworth, Y. [School of Physics and Astronomy, University of Birmingham, Edgbaston, Birmingham, B15 2TT (United Kingdom); Basu, S. [Department of Astronomy, Yale University, P.O. Box 208101, New Haven, CT 06520-8101 (United States); Brown, T. M. [Las Cumbres Observatory Global Telescope, Goleta, CA 93117 (United States); Hekker, S. [Astronomical Institute, 'Anton Pannekoek', University of Amsterdam, P.O. Box 94249, 1090 GE Amsterdam (Netherlands); Huber, D.; Bedding, T. R. [Sydney Institute for Astronomy (SIfA), School of Physics, University of Sydney, NSW 2006 (Australia); Karoff, C.; Bruntt, H.; Handberg, R. [Department of Physics and Astronomy, Aarhus University, DK-8000 Aarhus C (Denmark); Mathur, S.; Metcalfe, T. S. [High Altitude Observatory and Scientific Computing Division, National Center for Atmospheric Research, Boulder, CO 80307 (United States); Mosser, B. [LESIA, CNRS, Universite Pierre et Marie Curie, Universite Denis Diderot, Observatoire de Paris, 92195 Meudon Cedex (France); Quirion, P.-O. [Canadian Space Agency, 6767 Boulevard de l'Aeroport, Saint-Hubert, QC, J3Y 8Y9 (Canada); Appourchaux, T. [Institut d'Astrophysique Spatiale, Universite Paris XI - CNRS (UMR8617), Batiment 121, 91405 Orsay Cedex (France); Campante, T. L. [Centro de Astrofisica, Universidade do Porto, Rua das Estrelas, 4150-762 Porto (Portugal); GarcIa, R. A. [Laboratoire AIM, CEA/DSM, CNRS, Universite Paris Diderot, IRFU/SAp, 91191 Gif-sur-Yvette Cedex (France); Regulo, C. [Departamento de Astrofisica, Universidad de La Laguna, E-38206 La Laguna, Tenerife (Spain); Roxburgh, I. W. [Astronomy Unit, Queen Mary, University of London, Mile End Road, London, E1 4NS (United Kingdom)

    2011-09-10T23:59:59.000Z

    We calculate precise stellar radii and surface gravities from the asteroseismic analysis of over 500 solar-type pulsating stars observed by the Kepler space telescope. These physical stellar properties are compared with those given in the Kepler Input Catalog (KIC), determined from ground-based multi-color photometry. For the stars in our sample, we find general agreement but we detect an average overestimation bias of 0.23 dex in the KIC determination of log (g) for stars with log (g){sub KIC} > 4.0 dex, and a resultant underestimation bias of up to 50% in the KIC radii estimates for stars with R{sub KIC} < 2 R{sub sun}. Part of the difference may arise from selection bias in the asteroseismic sample; nevertheless, this result implies there may be fewer stars characterized in the KIC with R {approx} 1 R{sub sun} than is suggested by the physical properties in the KIC. Furthermore, if the radius estimates are taken from the KIC for these affected stars and then used to calculate the size of transiting planets, a similar underestimation bias may be applied to the planetary radii.

  1. LLNL Input to SNL L2 MS: Report on the Basis for Selection of Disposal Options

    SciTech Connect (OSTI)

    Sutton, M; Blink, J A; Halsey, W G

    2011-03-02T23:59:59.000Z

    This mid-year deliverable has two parts. The first part is a synopsis of J. Blink's interview of the former Nevada Attorney General, Frankie Sue Del Papa, which was done in preparation for the May 18-19, 2010 Legal and Regulatory Framework Workshop held in Albuquerque. The second part is a series of sections written as input for the SNL L2 Milestone M21UF033701, due March 31, 2011. Disposal of high-level radioactive waste is categorized in this review into several categories. Section II discusses alternatives to geologic disposal: space, ice-sheets, and an engineered mountain or mausoleum. Section III discusses alternative locations for mined geologic disposal: islands, coastlines, mid-continent, and saturated versus unsaturated zone. Section IV discusses geologic disposal alternatives other than emplacement in a mine: well injection, rock melt, sub-seabed, and deep boreholes in igneous or metamorphic basement rock. Finally, Secton V discusses alternative media for mined geologic disposal: basalt, tuff, granite and other igneous/metamorphic rock, alluvium, sandstone, carbonates and chalk, shale and clay, and salt.

  2. Development of a Novel Bi-Directional Isolated Multiple-Input DC-DC Converter

    SciTech Connect (OSTI)

    Li, H.

    2005-10-24T23:59:59.000Z

    There is vital need for a compact, lightweight, and efficient energy-storage system that is both affordable and has an acceptable cycle life for the large-scale production of electric vehicles (EVs) and hybrid electric vehicles (HEVs). Most of the current research employs a battery-storage unit (BU) combined with a fuel cell (FC) stack in order to achieve the operating voltage-current point of maximum efficiency for the FC system. A system block diagram is shown in Fig.1.1. In such a conventional arrangement, the battery is sized to deliver the difference between the energy required by the traction drive and the energy supplied by the FC system. Energy requirements can increase depending on the drive cycle over which the vehicle is expected to operate. Peak-power transients result in an increase of losses and elevated temperatures which result in a decrease in the lifetime of the battery. This research will propose a novel two-input direct current (dc) dc to dc converter to interface an additional energy-storage element, an ultracapacitor (UC), which is shown in Fig.1.2. It will assist the battery during transients to reduce the peak-power requirements of the battery.

  3. Nuclear inputs of key iron isotopes for core-collapse modeling and simulation

    E-Print Network [OSTI]

    Jameel-Un Nabi; Abdel Nasser Tawfik

    2014-08-20T23:59:59.000Z

    From the modeling and simulation results of presupernova evolution of massive stars, it was found that isotopes of iron, $^{54,55,56}$Fe, play a significant role inside the stellar cores, primarily decreasing the electron-to-baryon ratio ($Y_{e}$) mainly via electron capture processes thereby reducing the pressure support. The neutrinos produced, as a result of these capture processes, are transparent to the stellar matter and assist in cooling the core thereby reducing the entropy. The structure of the presupernova star is altered both by the changes in $Y_{e}$ and the entropy of the core material. Here we present the microscopic calculation of Gamow-Teller strength distributions for isotopes of iron. The calculation is also compared with other theoretical models and experimental data. Presented also are stellar electron capture rates and associated neutrino cooling rates, due to isotopes of iron, in a form suitable for simulation and modeling codes. It is hoped that the nuclear inputs presented here should assist core-collapse simulators in the process of fine-tuning of the $Y_{e}$ parameter during various phases of presupernova evolution of massive stars. A reliable and accurate time evolution of this parameter is a possible key to generate a successful explosion in modeling of core-collapse supernovae.

  4. Sensitivity of injection costs to input petrophysical parameters in numerical geologic carbon sequestration models

    SciTech Connect (OSTI)

    Cheng, C. L.; Gragg, M. J.; Perfect, E.; White, Mark D.; Lemiszki, P. J.; McKay, L. D.

    2013-08-24T23:59:59.000Z

    Numerical simulations are widely used in feasibility studies for geologic carbon sequestration. Accurate estimates of petrophysical parameters are needed as inputs for these simulations. However, relatively few experimental values are available for CO2-brine systems. Hence, a sensitivity analysis was performed using the STOMP numerical code for supercritical CO2 injected into a model confined deep saline aquifer. The intrinsic permeability, porosity, pore compressibility, and capillary pressure-saturation/relative permeability parameters (residual liquid saturation, residual gas saturation, and van Genuchten alpha and m values) were varied independently. Their influence on CO2 injection rates and costs were determined and the parameters were ranked based on normalized coefficients of variation. The simulations resulted in differences of up to tens of millions of dollars over the life of the project (i.e., the time taken to inject 10.8 million metric tons of CO2). The two most influential parameters were the intrinsic permeability and the van Genuchten m value. Two other parameters, the residual gas saturation and the residual liquid saturation, ranked above the porosity. These results highlight the need for accurate estimates of capillary pressure-saturation/relative permeability parameters for geologic carbon sequestration simulations in addition to measurements of porosity and intrinsic permeability.

  5. Relation between Fresnel transform of input light field and Radon transform of Wigner function of the field

    E-Print Network [OSTI]

    Hong-yi Fan; Li-yun Hu

    2008-08-21T23:59:59.000Z

    We prove a new theorem about the relationship between optical field Wigner function's Radon transform and optical Fresnel transform of the field, i.e., when an input field Phi(x') propagates through an optical [D(-B)(-C)A] system, the energy density of the output field is equal to the Radon transform of the Wigner function of the input field, where the Radon transform parameters are D,B. We prove this theorem in both spatial-domain and frequency-domain.

  6. Information science is neither

    E-Print Network [OSTI]

    Furner, J

    2015-01-01T23:59:59.000Z

    Julian. “Semiotics, information science, documents andof library and information sciences, 3rd ed. , edited bykind of science can information science be? ” Journal of the

  7. Operations Information for Studies

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

    Operations Information for Studies This page contains historical information about hydropower operations. Reclamation UC Region 24-Month Studies FY2009 Load Information (pdf) SLIP...

  8. Optimal SNR Exponent for Discrete-Input MIMO ARQ Block-Fading Channels

    E-Print Network [OSTI]

    Guillén i Fàbregas, Albert

    ´en i F`abregas, Lars K. Rasmussen, Iain B. Collings§ School of Electrical and Information Engineering, Cambridge CB2 1PZ, United Kingdom Institute for Telecommunications Research, University of South Australia@ieee.org, lars.rasmussen@unisa.edu.au, §iain.collings@csiro.au Abstract-- In this paper, we consider an automatic

  9. Smoke inputs to climate models: optical properties and height distribution for nuclear winter studies

    SciTech Connect (OSTI)

    Penner, J.E.; Haselman, L.C. Jr.

    1985-04-01T23:59:59.000Z

    Smoke from fires produced in the aftermath of a major nuclear exchange has been predicted to cause large decreases in land surface temperatures. The extent of the decrease and even the sign of the temperature change depend on the optical characteristics of the smoke and how it is distributed with altitude. The height distribution of smoke over a fire is determined by the amount of buoyant energy produced by the fire and the amount of energy released by the latent heat of condensation of water vapor. The optical properties of the smoke depend on the size distribution of smoke particles which changes due to coagulation within the lofted plume. We present calculations demonstrating these processes and estimate their importance for the smoke source term input for climate models. For high initial smoke densities and for absorbing smoke ( m = 1.75 - 0.3i), coagulation of smoke particles within the smoke plume is predicted to first increase, then decrease, the size-integrated extinction cross section. However, at the smoke densities predicted in our model (assuming a 3% emission rate for smoke) and for our assumed initial size distribution, the attachment rates for brownian and turbulent collision processes are not fast enough to alter the smoke size distribution enough to significantly change the integrated extinction cross section. Early-time coagulation is, however, fast enough to allow further coagulation, on longer time scales, to act to decrease the extinction cross section. On these longer time scales appropriate to climate models, coagulation can decrease the extinction cross section by almost a factor of two before the smoke becomes well mixed around the globe. This process has been neglected in past climate effect evaluations, but could have a significant effect, since the extinction cross section enters as an exponential factor in calculating the light attenuation due to smoke. 10 refs., 20 figs.

  10. Blind Joint Maximum Likelihood Channel Estimation and Data Detection for Single-Input Multiple-Output Systems

    E-Print Network [OSTI]

    Chen, Sheng

    Blind Joint Maximum Likelihood Channel Estimation and Data Detection for Single-Input Multiple of Southampton, Southampton SO17 1BJ, U.K. Abstract--A blind adaptive scheme is proposed for joint maximum. A simulation example is used to demon- strate the effectiveness of this joint ML optimization scheme for blind

  11. Components, Frameworks and GKS Input D. A. Duce, R. van Liere, P.J.W. ten Hagen

    E-Print Network [OSTI]

    Liere, Robert van

    to the description of graphical input in the current generation of graphics standards, in the context of the Com predecessor committee and to plan for the future development of graphics standards was recog- nized. SC24 recommendation was that the next generation of computer graphics standards should be based firmly on a Reference

  12. Optimization-based Design of Plant-Friendly Input Signals for Data-Centric Estimation and Control

    E-Print Network [OSTI]

    Mittelmann, Hans D.

    and to the nonlinear, highly interactive distillation column model developed by Weischedel and McAvoy (1980-centric multivariable control algorithm) is demonstrated for the distillation column case study. 1To whom allPaper 242k Optimization-based Design of Plant-Friendly Input Signals for Data-Centric Estimation

  13. Optimization-based Design of Plant-Friendly Input Signals for Model-on-Demand Estimation and Model Predictive Control

    E-Print Network [OSTI]

    Mittelmann, Hans D.

    is shown by applying it to a case study involving composition control of a binary distillation column. I is demonstrated in a binary high-purity distillation column case study by Weischedel and McAvoy [7], a demandingOptimization-based Design of Plant-Friendly Input Signals for Model-on-Demand Estimation and Model

  14. Test Response Compaction by an Accumulator Behaving as a Multiple Input Non-Linear Feedback Shift Register

    E-Print Network [OSTI]

    Kavousianos, Xrysovalantis

    Test Response Compaction by an Accumulator Behaving as a Multiple Input Non-Linear Feedback Shift that an accumulator can be modified to behave as a Non-Linear Feedback Shft Register suitable for test response by the proposed scheme is higher than that of the already known accumulator based compaction schemes and in most

  15. Are ecosystem carbon inputs and outputs coupled at short time scales? A case study from adjacent pine and

    E-Print Network [OSTI]

    Are ecosystem carbon inputs and outputs coupled at short time scales? A case study from adjacent and responses of Rsoil have been found on time scales of hours to weeks for different ecosystems, but most ecosystems over six and four measurement years, respectively, using both autocorrelation analysis

  16. Further results on saturated globally stabilizing linear state feedback control laws for single-input neutrally stable planar systems

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    -input neutrally stable planar systems Tao Yang1, Anton A. Stoorvogel2, Ali Saberi3, and Karl H. Johansson1 of Ali Saberi is partially supported by National Science Foundation grant NSF-0901137, NAVY grants ONRSchool of Electrical Engineering and Computer Science, Washington State University, U.S.A. E-mail: saberi

  17. On the Variability of Wind Power Input to the Oceans with a Focus on the Subpolar North Atlantic

    E-Print Network [OSTI]

    Wunsch, Carl

    WUNSCH Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology on the North Atlantic Ocean, where the database is somewhat more secure, it is found that the input power with both the eddy kinetic energy there and the Atlantic multidecadal oscillation (AMO), although

  18. In this paper, a system is described for the recognition of mixtures of noise sources in acoustic input signals. The

    E-Print Network [OSTI]

    Virtanen, Tuomas

    acoustic surveillance, speech processing in a noisy background, acoustic database queries, noise pollution in acoustic input signals. The problem is approached by utilizing both bottom­up signal analysis and top. 1 INTRODUCTION Recognition of acoustic noise mixtures is viewed here as the detection and broad

  19. Simultaneous state and unknown inputs estimation with PI and PMI observers for Takagi Sugeno model with unmeasurable premise

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Simultaneous state and unknown inputs estimation with PI and PMI observers for Takagi Sugeno model-- In this paper, a proportional integral (PI) and a proportional multiple integral observer (PMI) are proposed and PMI observers developed for linear systems. The state estimation error is written as a perturbed

  20. PEEK ADR-2000 with Piezoelectric Sensor The PEEK ADR-2000 unit uses inputs from piezoelectric sensors to conduct vehicle,

    E-Print Network [OSTI]

    Prevedouros, Panos D.

    also be equipped with an optional solar panel that extends the duration of field counts. The power1 PEEK ADR-2000 with Piezoelectric Sensor The PEEK ADR-2000 unit uses inputs from piezoelectric unit 3) Interface Box 4) TOPS software 5) Required cables (RS232 Communication Cable, Power Cable

  1. System and method for acquisition management of subject position information

    DOE Patents [OSTI]

    Carrender, Curt

    2005-12-13T23:59:59.000Z

    A system and method for acquisition management of subject position information that utilizes radio frequency identification (RF ID) to store position information in position tags. Tag programmers receive position information from external positioning systems, such as the Global Positioning System (GPS), from manual inputs, such as keypads, or other tag programmers. The tag programmers program each position tag with the received position information. Both the tag programmers and the position tags can be portable or fixed. Implementations include portable tag programmers and fixed position tags for subject position guidance, and portable tag programmers for collection sample labeling. Other implementations include fixed tag programmers and portable position tags for subject route recordation. Position tags can contain other associated information such as destination address of an affixed subject for subject routing.

  2. System and method for acquisition management of subject position information

    DOE Patents [OSTI]

    Carrender, Curt (Morgan Hill, CA)

    2007-01-23T23:59:59.000Z

    A system and method for acquisition management of subject position information that utilizes radio frequency identification (RF ID) to store position information in position tags. Tag programmers receive position information from external positioning systems, such as the Global Positioning System (GPS), from manual inputs, such as keypads, or other tag programmers. The tag programmers program each position tag with the received position information. Both the tag programmers and the position tags can be portable or fixed. Implementations include portable tag programmers and fixed position tags for subject position guidance, and portable tag programmers for collection sample labeling. Other implementations include fixed tag programmers and portable position tags for subject route recordation. Position tags can contain other associated information such as destination address of an affixed subject for subject routing.

  3. March 23, 2008 Databases: Information Systems 1 Information Systems

    E-Print Network [OSTI]

    Adam, Salah

    March 23, 2008 Databases: Information Systems 1 Information Systems #12;March 23, 2008 Databases: Information Systems 2 Objectives What is an Information System (IS) + Classification of Information Systems + Evolution of Information Systems + Information System Management + Performance Requirements of ISs + #12

  4. Generation IV benchmarking of TRISO fuel performance models under accident conditions. Modeling input data

    SciTech Connect (OSTI)

    Blaise Collin

    2014-09-01T23:59:59.000Z

    This document presents the benchmark plan for the calculation of particle fuel performance on safety testing experiments that are representative of operational accidental transients. The benchmark is dedicated to the modeling of fission product release under accident conditions by fuel performance codes from around the world, and the subsequent comparison to post-irradiation experiment (PIE) data from the modeled heating tests. The accident condition benchmark is divided into three parts: the modeling of a simplified benchmark problem to assess potential numerical calculation issues at low fission product release; the modeling of the AGR-1 and HFR-EU1bis safety testing experiments; and, the comparison of the AGR-1 and HFR-EU1bis modeling results with PIE data. The simplified benchmark case, thereafter named NCC (Numerical Calculation Case), is derived from ''Case 5'' of the International Atomic Energy Agency (IAEA) Coordinated Research Program (CRP) on coated particle fuel technology [IAEA 2012]. It is included so participants can evaluate their codes at low fission product release. ''Case 5'' of the IAEA CRP-6 showed large code-to-code discrepancies in the release of fission products, which were attributed to ''effects of the numerical calculation method rather than the physical model''[IAEA 2012]. The NCC is therefore intended to check if these numerical effects subsist. The first two steps imply the involvement of the benchmark participants with a modeling effort following the guidelines and recommendations provided by this document. The third step involves the collection of the modeling results by Idaho National Laboratory (INL) and the comparison of these results with the available PIE data. The objective of this document is to provide all necessary input data to model the benchmark cases, and to give some methodology guidelines and recommendations in order to make all results suitable for comparison with each other. The participants should read this document thoroughly to make sure all the data needed for their calculations is provided in the document. Missing data will be added to a revision of the document if necessary.

  5. Abstracts from a workshop on processes determining the input, behavior and fate of radionuclides and trace elements in continental shelf environments

    SciTech Connect (OSTI)

    Not Available

    1980-03-01T23:59:59.000Z

    Abstracts of workshop presentations concerning input, behavior, and fate of trace metals and radionuclides in the marine system are presented. (ACR)

  6. Supplemental Tables to the Annual Energy Outlook - Energy Information...

    Gasoline and Diesel Fuel Update (EIA)

    and Assumptions Acronyms NEMS: An Overview Assumptions report (2011) NERC Region map Levelized generation costs Capital cost for electricity plants About the National Energy...

  7. U.S. Energy Information Administration (EIA) - Sector

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    7. Key assumptions for the commercial sector in the AEO2012 integrated demand technology cases Assumptions Integrated 2011 Deand Technology Integraged High Demand Technologya...

  8. U.S. Energy Information Administration (EIA) - Sector

    Gasoline and Diesel Fuel Update (EIA)

    6. Key assumptions for the residential sector in the AEO2012 integrated demand technology cases Assumptions Integrated 2011 Deand Technology Integraged High Demand Technologya...

  9. Geographic information system applications to public warning systems

    SciTech Connect (OSTI)

    Newsom, D.E.

    1990-01-01T23:59:59.000Z

    This paper describes the capabilities of a geographic information system (GIS), the Integrated Emergency Management Information System (IEMIS), for planning a siren-based public warning system. The Outdoor Sound Propagation Model (OSPM) in IEMIS models warning sirens in a given area and reports the results graphically as sound pressure level contours. As implemented in IEMIS, OSPM includes graphic functions for the preparation and display of input data, display of the model's results, and management of data files. These graphic functions enable public safety personnel to plan more effectively for warning of the public.

  10. Development code for sensitivity and uncertainty analysis of input on the MCNPX for neutronic calculation in PWR core

    SciTech Connect (OSTI)

    Hartini, Entin, E-mail: entin@batan.go.id; Andiwijayakusuma, Dinan, E-mail: entin@batan.go.id [Center for Development of Nuclear Informatics - National Nuclear Energy Agency, PUSPIPTEK, Serpong, Tangerang, Banten (Indonesia)

    2014-09-30T23:59:59.000Z

    This research was carried out on the development of code for uncertainty analysis is based on a statistical approach for assessing the uncertainty input parameters. In the butn-up calculation of fuel, uncertainty analysis performed for input parameters fuel density, coolant density and fuel temperature. This calculation is performed during irradiation using Monte Carlo N-Particle Transport. The Uncertainty method based on the probabilities density function. Development code is made in python script to do coupling with MCNPX for criticality and burn-up calculations. Simulation is done by modeling the geometry of PWR terrace, with MCNPX on the power 54 MW with fuel type UO2 pellets. The calculation is done by using the data library continuous energy cross-sections ENDF / B-VI. MCNPX requires nuclear data in ACE format. Development of interfaces for obtaining nuclear data in the form of ACE format of ENDF through special process NJOY calculation to temperature changes in a certain range.

  11. Introduction to Information Theory

    E-Print Network [OSTI]

    Belohlavek, Radim

    Introduction to Information Theory and Its Applications Radim Belohl´avek Dept. Computer Science providing introduction to Information Theory. Radim Belohl´avek, Introduction to Information Theory and Its Applications 1 #12;Information Theory: What and Why · information: one of key terms in our society

  12. On the Hardness of Information-Theoretic Multiparty Computation Yuval Ishai Eyal Kushilevitz

    E-Print Network [OSTI]

    Ishai, Yuval

    the com- munication complexity of unconditionally secure computation depend on the computational. Information-theoretic cryptography, secure multiparty computation, private informa- tion retrieval, locally, every function f of n input bits can be t-securely computed by k = O(tn= log n) computationally

  13. Low-Fidelity Location Based Information Systems Sanjay Sood, Kristian J. Hammond, Larry Birnbaum

    E-Print Network [OSTI]

    Bustamante, Fabián E.

    Positioning Systems) technology available to all cell phone users. Instead of using satellite communication these links and expose the information in, for example, the form of annotated maps, are useless to most mobile with regard to text input. This friction renders such systems useless. The StickyNotes project is aimed

  14. Decoding information in the honeybee dance: revisiting the tactile hypothesis Mariana Gil*, Rodrigo J. De Marco

    E-Print Network [OSTI]

    Menzel, Randolf - Institut für Biologie

    Decoding information in the honeybee dance: revisiting the tactile hypothesis Mariana Gil*, Rodrigo-00526 Keywords: Apis mellifera dance communication honeybee mechanosensory input tactile stimulus waggle dance The waggle dance of honeybees, Apis mellifera, is one of the most remarkable communication systems

  15. Using SAS to generate DDI-Codebook XML from Information Managed in Excel Spreadsheets

    E-Print Network [OSTI]

    Wright, Philip A.

    2013-04-02T23:59:59.000Z

    \\fem_variable_formats.txt' delimiter = '09'x MISSOVER DSD lrecl = 32767 firstobs = 2 ; input VARIABLE $ FORMAT $ ; run ; There is more than one way to import information from Excel into SAS External File Interface Import Wizard Proc Import Excel Library... into SAS Proc Import There is more than one way to import information from Excel into SAS proc import datafile = "C:\\worksheets\\female_metadata.xls" out = user.female_metadata dbms = excel ; range = "'FINAL SECTION J'" ; getnames = yes ; mixed...

  16. Information & Computer Sciences Mathematics

    E-Print Network [OSTI]

    COLLEGE NATURAL SCIENCES OF OVERVIEW 2014 NAT SCI Biology Botany Chemistry Information & Computer 8 Department of Information & Computer Sciences 9 Department of Mathematics 12 PROGRAMS 14 Library & Information Science

  17. COMPUTER SCIENCE INFORMATION TECHNOLOGY

    E-Print Network [OSTI]

    Dunstan, Neil

    COMPUTER SCIENCE and INFORMATION TECHNOLOGY POSTGRADUATE STUDIES 2006 School of Mathematics of Information Systems with Honours Master of Science (Computer Science) Professional Doctorate in Science (Computer Science) PhD (Computer Science) The postgraduate programs in Computer Science and Information

  18. SELECTING INFORMATION TECHNOLOGY SECURITY

    E-Print Network [OSTI]

    April 2004 SELECTING INFORMATION TECHNOLOGY SECURITY PRODUCTS Shirley Radack, Editor Computer Security Division Information Technology Laboratory National Institute of Standards and Technology Information technology security prod ucts are essential to better secure infor mation technology (IT) systems

  19. Information Security for Libraries (1) INFORMATION SECURITY FOR LIBRARIES

    E-Print Network [OSTI]

    Newby, Gregory B.

    Information Security for Libraries (1) INFORMATION SECURITY FOR LIBRARIES Gregory B. Newby School an active role in information security. INTRODUCTION By most accounts, the proliferation of the Internet of information security, making concrete recommendations for safeguarding information and information access

  20. Energy information sheets

    SciTech Connect (OSTI)

    NONE

    1995-07-01T23:59:59.000Z

    The National Energy Information Center (NEIC), as part of its mission, provides energy information and referral assistance to Federal, State, and local governments, the academic community, business and industrial organizations, and the public. The Energy Information Sheets was developed to provide general information on various aspects of fuel production, prices, consumption, and capability. Additional information on related subject matter can be found in other Energy Information Administration (EIA) publications as referenced at the end of each sheet.

  1. Chief Information Officer

    Broader source: Energy.gov [DOE]

    The Federal Energy Regulatory Commission is looking for an experienced senior level executive to serve as the Chief Information Officer (CIO). The Chief Information Officer (CIO) reports directly...

  2. Confidential Business Information

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

    will make its own determination about the confidential status of the information and treat it according to its determination. Confidential information should be submitted to the...

  3. Biofuels Information Center

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

    Biofuels Information Center BETO 2015 Peer Review Kristi Moriarty March 24, 2015 2 Goal Statement * The purpose of the Biofuels Information Center (BIC) task is to increase...

  4. Advanced materials: Information and analysis needs

    SciTech Connect (OSTI)

    Curlee, T.R.; Das, S.; Lee, R.; Trumble, D.

    1990-09-01T23:59:59.000Z

    This report presents the findings of a study to identify the types of information and analysis that are needed for advanced materials. The project was sponsored by the US Bureau of Mines (BOM). It includes a conceptual description of information needs for advanced materials and the development and implementation of a questionnaire on the same subject. This report identifies twelve fundamental differences between advanced and traditional materials and discusses the implications of these differences for data and analysis needs. Advanced and traditional materials differ significantly in terms of physical and chemical properties. Advanced material properties can be customized more easily. The production of advanced materials may differ from traditional materials in terms of inputs, the importance of by-products, the importance of different processing steps (especially fabrication), and scale economies. The potential for change in advanced materials characteristics and markets is greater and is derived from the marriage of radically different materials and processes. In addition to the conceptual study, a questionnaire was developed and implemented to assess the opinions of people who are likely users of BOM information on advanced materials. The results of the questionnaire, which was sent to about 1000 people, generally confirm the propositions set forth in the conceptual part of the study. The results also provide data on the categories of advanced materials and the types of information that are of greatest interest to potential users. 32 refs., 1 fig., 12 tabs.

  5. Development of a Low Input and sustainable Switchgrass Feedstock Production System Utilizing Beneficial Bacterial Endophytes

    SciTech Connect (OSTI)

    Mei, Chuansheng [IALR; Nowak, Jerzy [VPISU; Seiler, John [VPISU

    2014-10-24T23:59:59.000Z

    Switchgrass represents a promising feedstock crop for US energy sustainability. However, its broad utilization for bioenergy requires improvements of biomass yields and stress tolerance. In this DOE funded project, we have been working on harnessing beneficial bacterial endophytes to enhance switchgrass performance and to develop a low input feedstock production system for marginal lands that do not compete with the production of food crops. We have demonstrated that one of most promising plant growth-promoting bacterial endophytes, Burkholderia phytofirmans strain PsJN, is able to colonize roots and significantly promote growth of switchgrass cv. Alamo under in vitro, growth chamber, greenhouse, as well as field conditions. Furthermore, PsJN bacterization improved growth and development of switchgrass seedlings, significantly stimulated plant root and shoot growth, and tiller number in the field, and enhanced biomass accumulation on both poor (p<0.001) and rich (p<0.05) soils, with more effective stimulation of plant growth in low fertility soil. Plant physiology measurements showed that PsJN inoculated Alamo had consistently lower transpiration, lower stomatal conductance, and higher water use efficiency in greenhouse conditions. These physiological changes may significantly contribute to the recorded growth enhancement. PsJN inoculation rapidly results in an increase in photosynthetic rates which contributes to the advanced growth and development. Some evidence suggests that this initial growth advantage decreases with time when resources are not limited such as in greenhouse studies. Additionally, better drought resistance and drought hardening were observed in PsJN inoculated switchgrass. Using the DOE-funded switchgrass EST microarray, in a collaboration with the Genomics Core Facility at the Noble Foundation, we have determined gene expression profile changes in both responsive switchgrass cv. Alamo and non-responsive cv. Cave-in-Rock (CR) following PsJN bacterization. With the MapMan software to analyze microarray data, the number of up- and down-regulated probes was calculated. The number of up-regulated probes in Alamo was 26, 14, 14, and 12% at 0.5, 2, 4 and 8 days after inoculation (DAI) with PsJN, respectively while the corresponding number in CR was 24, 22, 21, and 19%, respectively. In both cultivars, the largest number of up-regulated probes occurred at 0.5 DAI. Noticeable differences throughout the timeframe between Alamo and CR were that the number was dramatically decreased to half (12%) in Alamo but remained high in CR (approximately 20%). The number of down regulated genes demonstrated different trends in Alamo and CR. Alamo had an increasing trend from 9% at 0.5 DAI to 11, 17, and 28% at 2, 4, and 8 DAI, respectively. However, CR had 13% at 0.5 and 2 DAI, and declined to 10% at 4 and 8 DAI. With the aid of MapMan and PageMan, we mapped the response of the ID probes to the observed major gene regulatory network and major biosynthetic pathway changes associated with the beneficial bacterial endophyte infection, colonization, and early growth promotion process. We found significant differences in gene expression patterns between responsive and non-responsive cultivars in many pathways, including redox state regulation, signaling, proteolysis, transcription factors, as well as hormone (SA and JA in particular)-associated pathways. Form microarray data, a total of 50 key genes have been verified using qPCR. Ten of these genes were chosen for further functional study via either overexpression and/or RNAi knockout technologies. These genes were calmodulin-related calcium sensor protein (CAM), glutathione S-transferase (GST), histidine-containing phosphotransfer protein (H-221), 3 different zinc finger proteins (ZF-371, ZF131 and ZF242), EF hand transcription factor (EF-622), peroxidase, cellulose synthase catalytic submit A2 (CESA2), and Aux/IAA family. A total of 8 overexpression and 5 RNAi transgenic plants have been regenerated, and their gene expression levels determined using qPCR. Consequently

  6. ResourceBounded Information

    E-Print Network [OSTI]

    Raja, Anita

    Query Input l Word processing package for aMac. l $200 price limit. l Search process should take 10 min Features l Active search and discovery. l Resource Bounded Reasoning. l Goal­driven and) C (75% 6) (25% 4) enables Subtask Relation Enables NLE Q = Quality D = Duration C = Cost Task

  7. Risk Informed Margins Management as part of Risk Informed Safety Margin Characterization

    SciTech Connect (OSTI)

    Curtis Smith

    2014-06-01T23:59:59.000Z

    The ability to better characterize and quantify safety margin is important to improved decision making about Light Water Reactor (LWR) design, operation, and plant life extension. A systematic approach to characterization of safety margins and the subsequent margin management options represents a vital input to the licensee and regulatory analysis and decision making that will be involved. In addition, as research and development in the LWR Sustainability (LWRS) Program and other collaborative efforts yield new data, sensors, and improved scientific understanding of physical processes that govern the aging and degradation of plant SSCs needs and opportunities to better optimize plant safety and performance will become known. To support decision making related to economics, readability, and safety, the Risk Informed Safety Margin Characterization (RISMC) Pathway provides methods and tools that enable mitigation options known as risk informed margins management (RIMM) strategies.

  8. Assumptions to the Annual Energy Outlook 2013

    Gasoline and Diesel Fuel Update (EIA)

    1100 4000 4000 Usage (percent of capacity) 80 0 80 0 Capital cost (million 2010) 0.80 0.5 1.0 1.0 Capital recovery (years) 5 10 5 10 Weighted average cost of capital (rate) 0.10...

  9. Assumptions to the Annual Energy Outlook 2013

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    4000 4000 Usage (percent of capacity) 80 60 80 60 Capital cost (million 2010) 0.80 0.5 1.0 1.0 Capital recovery (years) 5 10 5 10 Weighted average cost of capital (rate) 0.10...

  10. Assumptions to the Annual Energy Outlook 2013

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    footage of both new construction and existing structures, based on trends in new construction and remodeling. Industrial Demand Module The Industrial Demand Module (IDM)...

  11. CLIMATE ACTION PLANNING TOOL FORMULAS AND ASSUMPTIONS

    E-Print Network [OSTI]

    options. Business-as-Usual Scenario All Scope 1 (gas, oil, coal, fleet, and electricity) and Scope 2. This growth reduction would be in response to a campus policy decision to actively manage existing space are used to calculate energy conservation savings on Scope 1 fuels (gas, oil, and coal) as well as Scope 2

  12. Preliminary Assumptions for Natural Gas Peaking

    E-Print Network [OSTI]

    plants and capital cost estimates for peaking technologies Frame, Aeroderivative, Intercooled, Reciprocating Engines Next steps 2 #12;Definitions Baseload Energy: power generated (or conserved) across a period of time to serve system demands for electricity Peaking Capacity: capability of power generating

  13. Optimal Clock Synchronization under Different Delay Assumptions

    E-Print Network [OSTI]

    Rajsbaum, Sergio

    Heights, NY 10598, USA. Par­ tially supported by DGAPA Projects, National Autonomous University of Mexico Technology Square, Cambridge, MA 02139, USA. On leave from Instituto de Matem'aticas, UNAM, M'exico of achieving optimal clock synchronization in a communication network with arbitrary topology and perfect

  14. Component Verification with Automatically Generated Assumptions

    E-Print Network [OSTI]

    Pasareanu, Corina

    satisfies its required property. Our approach has been implemented in the LTSA tool and has been applied

  15. Learning Assumptions for Compositional Veri cation

    E-Print Network [OSTI]

    Pasareanu, Corina

    that the property is either true or false in the system. We have imple- mented our approach in the LTSA tool

  16. Assumptions that imply quantum dynamics is linear

    E-Print Network [OSTI]

    Thomas F. Jordan

    2006-01-26T23:59:59.000Z

    A basic linearity of quantum dynamics, that density matrices are mapped linearly to density matrices, is proved very simply for a system that does not interact with anything else. It is assumed that at each time the physical quantities and states are described by the usual linear structures of quantum mechanics. Beyond that, the proof assumes only that the dynamics does not depend on anything outside the system but must allow the system to be described as part of a larger system. The basic linearity is linked with previously established results to complete a simple derivation of the linear Schrodinger equation. For this it is assumed that density matrices are mapped one-to-one onto density matrices. An alternative is to assume that pure states are mapped one-to-one onto pure states and that entropy does not decrease.

  17. Assumptions to the Annual Energy Outlook 2013

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    explain the growth in GDP: the growth rate of nonfarm employment and the rate of productivity change associated with employment. As Table 2.1 indicates, in the Reference case,...

  18. Assumptions to the Annual Energy Outlook 2013

    Gasoline and Diesel Fuel Update (EIA)

    Act of 2006 (AB32) AB32 established a comprehensive, multi-year program to reduce Green House Gas (GHG) emissions in California, including a cap-and-trade program. In...

  19. Current Status and Future Assumptions INTRODUCTION

    E-Print Network [OSTI]

    structure, higher electricity prices, and regional and national conservation efforts. 0 5000 10000 15000 of the region's electricity system, some relevant historical trends leading to that status, and the Council's projections of how that status might change in the future. An understanding of our current situation and how

  20. Assumptions to the Annual Energy Outlook 2013

    Gasoline and Diesel Fuel Update (EIA)

    to the way they now behave. The intensity of end uses will change moderately in response to price changes. Electric end uses will continue to expand, but at a decreasing rate...