National Library of Energy BETA

Sample records for inform input assumptions

  1. Submodule construction for specifications with input assumptions and output guarantees *

    E-Print Network [OSTI]

    von Bochmann, Gregor

    bisimulation as conformance relation), and by synchronous finite state machines [Kim 97]. A restricted with synchronous communication or interleaving semantics. The paper also provides a new solution formula input and output. A new submodule construction algorithm for synchronous, partially defined input

  2. PUBLIC INFORMATION AND INPUT ON WIPP

    E-Print Network [OSTI]

    PUBLIC INFORMATION AND INPUT ON WIPP Get The Information You Need 1. Check the EPA Website, Fact Sheets and Issue Papers. EPA will make sure that key information is available on its WIPP Website. EPA the EPA WIPP Information Line at 1-800-331-WIPP (1-800-331-9477) to obtain information on upcoming events

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

    Office of Environmental Management (EM)

    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...

  4. V-192: Symantec Security Information Manager Input Validation...

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

    2: Symantec Security Information Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Information Disclosure Attacks V-192: Symantec Security Information...

  5. V-192: Symantec Security Information Manager Input Validation...

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

    Security Information Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Information Disclosure Attacks V-192: Symantec Security Information...

  6. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAandAmminex A SOpenAshley, Ohio: Energy-Resource |CarbonAssumption Parish,

  7. 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.

    1995-12-01

    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.

  8. declaration assumption,

    E-Print Network [OSTI]

    Ábrahám, Erika

    Initial Type Assumption A 0 A 0 (x) = 8a: a for all x 2 V A 0 (c) = pre-de#12;ned type schema in haskell, for all c 2 C 0 A 0 (constr) = 8 (type 1 ! : : : ! type n ! (tyconstr a 1 : : : am )); A 0 (bot;) or the computation fails because of a failing uni#12;cation problem. Let c 2 C [ V. #15; W(A + fc :: 8a 1

  9. Implementation of Dasher, an information efficient input mechanism 

    E-Print Network [OSTI]

    Garrett, Matthew; Ward, David; Murray, Iain; Cowans, Phil; Mackay, David

    2003-01-01

    Dasher is a novel information efficient text entry system using a language model to offer predictions to the user without constraining the range of words which can be written. In this paper, we discuss the implementation ...

  10. Input-output relations in biological systems: measurement, information and the Hill equation

    E-Print Network [OSTI]

    Frank, Steven A

    2013-01-01

    statistical mechanics, and aspects of information theory that originally developed in studies of communication.

  11. 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

  12. Input on basic assumptions Larry Hughes, Mandeep Dhaliwal, Keshab Gajurel,

    E-Print Network [OSTI]

    Hughes, Larry

    , for example, the EPA SO2 emissions trading scheme. 2.2. Carbon dioxide Slides 13 and 14 show the assumed high

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

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyThe U.S.Laclede GasEfficiency|Feed| DepartmentOFAdvancedGrid Implementation Input |

  14. Counterexamples to commonly held Assumptions on

    E-Print Network [OSTI]

    Gatterbauer, Wolfgang

    Counterexamples to commonly held Assumptions on Unit Commitment and Market Power Assessment NAPS and Decentralized Unit Commitment (PoolCo vs. PX) · Determination of Market Power revisiting the fundamental Information 1: PoolCo vs PX · Unit Commitment: Technological constraints (minimum up-time, starting costs

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

    SciTech Connect (OSTI)

    Phillip Mills

    2012-02-01

    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.

  16. Heap Assumptions on Demand Andreas Podelski1

    E-Print Network [OSTI]

    Wies, Thomas

    Heap Assumptions on Demand Andreas Podelski1 , Andrey Rybalchenko2 , and Thomas Wies1 1 University checker and shape analysis. The shape analysis pro- duces heap assumptions on demand to eliminate.e., it applies shape analysis on demand. The shape analysis produces a heap assumption, which is an assertion

  17. Cost and Performance Assumptions for Modeling Electricity Generation Technologies

    SciTech Connect (OSTI)

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

    2010-11-01

    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.

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

    E-Print Network [OSTI]

    Giger, Christine

    Regression #12;Regression ! · Given input data (features), predict value of a continuous quantity;! · Assumption: linear relation between input and output Linear regression y = 0 + 1x y = > x x = 1 x > #12 ^ = (XX> ) 1 Xy etc. #12;! · Many relations are not linear · The complete graph Non-linear regression #12

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

    E-Print Network [OSTI]

    Giger, Christine

    Regression #12;Regression · Given input data (features), predict value of a continuous quantity;· Assumption: linear relation between input and output Linear regression y = 0 + 1x x = 1 x1 x2 . . . xn y · The complete graph Non-linear regression #12;· Need to fit non-linear functions · example: polynomials Non

  20. 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

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

    SciTech Connect (OSTI)

    Wayne Moe

    2013-05-01

    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).

  2. TART input manual

    SciTech Connect (OSTI)

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

    1982-04-01

    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)

  3. Manufacturing Energy and Carbon Footprint Definitions and Assumptions...

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

    Definitions and Assumptions, October 2012 Manufacturing Energy and Carbon Footprint Definitions and Assumptions, October 2012 footprintsassumptionsdefinitions2012.pdf More...

  4. 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.

    2013-03-04

    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 ...

  5. 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

  6. Wireless, relative-motion computer input device

    DOE Patents [OSTI]

    Holzrichter, John F.; Rosenbury, Erwin T.

    2004-05-18

    The present invention provides a system for controlling a computer display in a workspace using an input unit/output unit. A train of EM waves are sent out to flood the workspace. EM waves are reflected from the input unit/output unit. A relative distance moved information signal is created using the EM waves that are reflected from the input unit/output unit. Algorithms are used to convert the relative distance moved information signal to a display signal. The computer display is controlled in response to the display signal.

  7. Synthetic Morphology Using Alternative Inputs

    E-Print Network [OSTI]

    Tanaka, Hiromasa; Yi, Tau-Mu

    2009-01-01

    Created the concept of alternative inputs: HT. References4 | Issue 9 | e6946 Alternative Inputs to a-Factor 24.Morphology Using Alternative Inputs Hiromasa Tanaka 1,2 ,

  8. Assumptions to the Annual Energy Outlook 2015

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table 1.101 (Million Short Tons)U.S.Assumptions to

  9. Assumptions to the Annual Energy Outlook 2015

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table 1.101 (Million Short Tons)U.S.Assumptions to00

  10. Assumptions to the Annual Energy Outlook 2015

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table 1.101 (Million Short Tons)U.S.Assumptions

  11. Assumptions to the Annual Energy Outlook 2015

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table 1.101 (Million Short Tons)U.S.Assumptions33

  12. Assumptions to the Annual Energy Outlook 2015

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table 1.101 (Million Short Tons)U.S.Assumptions3302

  13. Assumptions to the Annual Energy Outlook 2015

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table 1.101 (Million Short Tons)U.S.Assumptions330247

  14. Assumptions to the Annual Energy Outlook 2015

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table 1.101 (Million Short Tons)U.S.Assumptions330247

  15. Assumptions to the Annual Energy Outlook 2015

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table 1.101 (Million Short Tons)U.S.Assumptions330247

  16. Manufacturing Energy and Carbon Footprint Definitions and Assumptions, October 2012

    Broader source: Energy.gov [DOE]

    Definitions of parameters and table of assumptions for the Manufacturing Energy and Carbon Footprint

  17. Assumptions to Annual Energy Outlook - Energy Information Administration

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724per ThousandLease Separation

  18. Assumptions to Annual Energy Outlook - Energy Information Administration

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural Gas ReservesAlabamaAboutTotal Energy Glossary ›Year

  19. Efficient Pseudorandom Functions From the Decisional Linear Assumption and Weaker

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    Efficient Pseudorandom Functions From the Decisional Linear Assumption and Weaker Variants Allison to yield a construction of pseudorandom functions under the decisional k-Linear Assumption, for each k 1 In this paper, we generalize Naor and Reingold's construction of pseudorandom functions under the DDH Assumption

  20. Multi-Input Functional Encryption Shafi Goldwasser

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    is a general tool for computing on encrypting data which allows for mining aggregate information from several different data sources (rather than just a single source as in single input functional encryption). We show been addressed by a number of papers, with general formal definitions first appearing in [BSW11, O'N10

  1. Hardware Memo - Input Multiplexer Status

    E-Print Network [OSTI]

    Noftsker, Russell

    1966-10-01

    Note: Computer control of Input Multiplexer and Output Sample and Hold is available when clock and test switches on the I/O box are in "Computer Input" and "Computer Output" positions, respectively. Manual operation of the ...

  2. Supply-side Resources & Planning Assumptions

    E-Print Network [OSTI]

    : ­ Central-station and distributedCentral station and distributed ­ Energy ­ Capacity (peaking and flex) ­ Storage Resource assessment data needs and applications R d f t Resources proposed for assessment Portfolio Model (RPM)­ Evaluate cost and risk of alternative resource portfolios 36/19/2013 Information flow

  3. Assumptions to the Annual Energy Outlook 2014

    Annual Energy Outlook [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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (BillionTechnical InformationDecade Year-0 2Market ModuleOil and

  4. Assumptions to the Annual Energy Outlook 2014

    Annual Energy Outlook [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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (BillionTechnical InformationDecade Year-0 2Market ModuleOil and This page

  5. Assumptions to the Annual Energy Outlook 2014

    Annual Energy Outlook [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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (BillionTechnical InformationDecade Year-0 2Market ModuleOil and This page

  6. Property:ExternalInput | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to: navigation,Property Edit withExplorationTimePerMetric Jump to:

  7. 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

  8. 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

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

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01

    System (REEPS 2.1) , developed by the Electric Power Research Institute (EPRI), is a forecasting model

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

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01

    Heating Electric Furnace Gas Furnace LPG Furnace Oil Furnaceliquid petroleum gas (LPG), and wood Availability ofHeating Electric Furnace Gas Furnace LPG Furnace Oil Furnace

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

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01

    data. Residential primary energy use is expected to growmat the overall primary energy intensity per household ofby Stock Equipment (Primary Energy, Trillion Btu) Table B .

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

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01

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

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

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01

    LPG Furnace Oil Furnace Electric Heat Pump Gas BoilerOil Boiler Electric Room Heater Gas Room Heater Wood Stove (Electric Heat Pump Gas Boiler Oil Boiler Electric Room Gas

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

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01

    US DOE. 1995a. Annual Energy Outlook 1995, with ProjectionsELA) 1995 Annual Energy Outlook (AEO); 1990 Residentialof Energy's Annual Energy Outlook ( US DOE 1995a). A l l

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

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01

    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

  16. Code Completion From Abbreviated Input

    E-Print Network [OSTI]

    Miller, Robert C.

    Abbreviation Completion is a novel technique to improve the efficiency of code-writing by supporting code completion of multiple keywords based on non-predefined abbreviated input - a different approach from conventional ...

  17. STUDENT FORM GENERAL RELEASE FORM & ASSUMPTION OF RISK

    E-Print Network [OSTI]

    Schaefer, Marcus

    STUDENT FORM GENERAL RELEASE FORM & ASSUMPTION OF RISK DePaul University School of Cinematic Arts I that while enrolling in the Course may be a requirement for achieving my degree in Cinematic Arts at De

  18. Computational soundness for standard assumptions of formal cryptography

    E-Print Network [OSTI]

    Herzog, Jonathan, 1975-

    2004-01-01

    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 ...

  19. Mass Exchange Processes with Input

    E-Print Network [OSTI]

    P. L. Krapivsky

    2015-03-07

    We investigate a system of interacting clusters evolving through mass exchange and supplemented by input of small clusters. Three possibilities depending on the rate of exchange generically occur when input is homogeneous: continuous growth, gelation, and instantaneous gelation. We mostly study the growth regime using scaling methods. An exchange process with reaction rates equal to the product of reactant masses admits an exact solution which allows us to justify the validity of scaling approaches in this special case. We also investigate exchange processes with a localized input. We show that if the diffusion coefficients are mass-independent, the cluster mass distribution becomes stationary and develops an algebraic tail far away from the source.

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

    E-Print Network [OSTI]

    Christian Iliadis; Richard Longland; Art Champagne; Alain Coc

    2010-04-23

    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.

  1. Generation Inputs Workshop June 25, 2014

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

    Inputs Workshop 25 June 2014 BPA's Centralized Wind Power Forecasting Initiative Scott Winner June 25, 2014 Generation Inputs Workshop Predecisional. For Discussion Purposes Only....

  2. Choosing Poles So That the Single-Input Pole Placement Problem Is Well Conditioned

    E-Print Network [OSTI]

    Xu, Hongguo; Mehrmann, Volker

    1998-05-01

    We discuss the single-input pole placement problem (SIPP) and analyze how the conditioning of the problem can be estimated and improved if the poles are allowed to vary in specific regions in the complex plane. Under certain assumptions we give...

  3. An Air-Operated Multi-Input Logical "OR" Module* Bogdan Stoyanov, Vlaiko Peichev, Jordan Beyazov

    E-Print Network [OSTI]

    Borissova, Daniela

    110 An Air-Operated Multi-Input Logical "OR" Module* Bogdan Stoyanov, Vlaiko Peichev, Jordan Beyazov Institute of Information Technologies, 1113 Sofia Abstract: The paper presents an 18-input air is the devel- opment of a specialized air-operated multi-input logical "OR" module intended for use

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

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

    Integrated, Interagency Pre-Application Process for Transmission Authorizations August 29, 2013 - 9:09am Addthis A Request for Information (RFI) seeking public input for a draft...

  5. Unconscious Biases and Assumptions: The Origins of Discrimination?

    E-Print Network [OSTI]

    Sheridan, Jennifer

    #12;Unconscious Biases and Assumptions: The Origins of Discrimination? #12;Outline Examples of subtle discrimination What is "unconscious bias" and do I have it? What to do? #12;Applications is causing these phenomena? Discrimination? Or... Unconscious Bias? #12;Mind-blindness Count

  6. Utilizing Symmetry when Model Checking under Fairness Assumptions: An Automatatheoretic

    E-Print Network [OSTI]

    Emerson, E. Allen

    ­ current Programming General Terms: Verification, Model Checking, Temporal Logic, Abstraction AdditionalUtilizing Symmetry when Model Checking under Fairness Assumptions: An Automata­theoretic Approach E temporal logic model checking. In previous work it is shown how, using some basic notions of group theory

  7. Basing Obfuscation on Simple Tamper-Proof Hardware Assumptions

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    Basing Obfuscation on Simple Tamper-Proof Hardware Assumptions Nico D¨ottling, Thilo Mie, J¨orn M for obfuscation, and using tamper-proof hardware tokens to achieve general code obfuscation. Following this last on the security of this CRS. Keywords: Obfuscation, Stateless Tamper-Proof hardware, Universal Composability

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

    E-Print Network [OSTI]

    Pantaleone, Jim

    1 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 oil prices, production rates, and costs. He noted that comparative revenues are highly sensitive

  9. QPE: Using assumption-based truth maintenance for qualitative simulation

    E-Print Network [OSTI]

    Forbus, Kenneth D.

    writin g such programs. This paper identifies several abstractions for organizing ATMS-based problem a mechanism for making closed-world assumptions . We sketch the design of the Qualitative Process Engine, QPE simulation as a module in a larger task . All of these research directions require substantially more

  10. Abstract--In the context of the ongoing deregulation of the electricity industry, we revisit the commonly held assumption that,

    E-Print Network [OSTI]

    Gatterbauer, Wolfgang

    the commonly held assumption that, under the condition of perfect information, a decentralized unit commitment of consecutive hours. Index Terms-- Centralized unit commitment, Decentralized unit commitment, Market power, a centralized unit commitment can be economically more efficient than a decentralized unit commitment

  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)

    2014-09-01

    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. Code input alternatives John C. Wright

    E-Print Network [OSTI]

    Wright, John C.

    ;Summary Use a data-centric model for input creation (code namelists, IPS config file, etc) Database

  13. 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

  14. 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

  15. Testing the assumptions of linear prediction analysis in normal vowels

    E-Print Network [OSTI]

    Max Little; Patrick E. McSharry; Irene M. Moroz; Stephen J. Roberts

    2006-01-04

    This paper develops an improved surrogate data test to show experimental evidence, for all the simple vowels of US English, for both male and female speakers, that Gaussian linear prediction analysis, a ubiquitous technique in current speech technologies, cannot be used to extract all the dynamical structure of real speech time series. The test provides robust evidence undermining the validity of these linear techniques, supporting the assumptions of either dynamical nonlinearity and/or non-Gaussianity common to more recent, complex, efforts at dynamical modelling speech time series. However, an additional finding is that the classical assumptions cannot be ruled out entirely, and plausible evidence is given to explain the success of the linear Gaussian theory as a weak approximation to the true, nonlinear/non-Gaussian dynamics. This supports the use of appropriate hybrid linear/nonlinear/non-Gaussian modelling. With a calibrated calculation of statistic and particular choice of experimental protocol, some of the known systematic problems of the method of surrogate data testing are circumvented to obtain results to support the conclusions to a high level of significance.

  16. The contour method cutting assumption: error minimization and correction

    SciTech Connect (OSTI)

    Prime, Michael B; Kastengren, Alan L

    2010-01-01

    The recently developed contour method can measure 2-D, cross-sectional residual-stress map. A part is cut in two using a precise and low-stress cutting technique such as electric discharge machining. The contours of the new surfaces created by the cut, which will not be flat if residual stresses are relaxed by the cutting, are then measured and used to calculate the original residual stresses. The precise nature of the assumption about the cut is presented theoretically and is evaluated experimentally. Simply assuming a flat cut is overly restrictive and misleading. The critical assumption is that the width of the cut, when measured in the original, undeformed configuration of the body is constant. Stresses at the cut tip during cutting cause the material to deform, which causes errors. The effect of such cutting errors on the measured stresses is presented. The important parameters are quantified. Experimental procedures for minimizing these errors are presented. An iterative finite element procedure to correct for the errors is also presented. The correction procedure is demonstrated on experimental data from a steel beam that was plastically bent to put in a known profile of residual stresses.

  17. Resources Abstracts Input Transaction Form

    E-Print Network [OSTI]

    District of Columbia, University of the

    . A vailability Release Unlimited 21. No. of Pages 22. Price Water Resources Scientific Information Center OFFICE their endorsement or recommendation for use by the U.S. Government. ii #12;TABLE OF CONTENTS List of Tables and Figures iv Introduction 1 Experimental 2 Results 11 Summary 12 References 13 iii #12;LIST OF TABLES TITLE

  18. PAD, a computer-aided molecular model building system utilizing two-dimensional graphical input 

    E-Print Network [OSTI]

    White, William Gerald

    1980-01-01

    and an artist. CONTENTS CHAPTER I. BACKGROUND: INTERFACING COMPUTER AND CHEMIcT Graphical Input Hardware Evolution. . . . . Software Systems: Using the Hardware, , Chemical Applications. Program PAD xn Perspective. CHAPTER II. YATERIA' S AND METHODS... are used. The 2-D coordinates of each atom input by the user are stored permanently in XS and YS, after temporary storage in IX and IY. Arrays XS and YS are each 99 elements long, as are all other arrays storing information about input atoms; therefore...

  19. Input estimation from measured structural response

    SciTech Connect (OSTI)

    Harvey, Dustin [Los Alamos National Laboratory; Cross, Elizabeth [Los Alamos National Laboratory; Silva, Ramon A [Los Alamos National Laboratory; Farrar, Charles R [Los Alamos National Laboratory; Bement, Matt [Los Alamos National Laboratory

    2009-01-01

    This report will focus on the estimation of unmeasured dynamic inputs to a structure given a numerical model of the structure and measured response acquired at discrete locations. While the estimation of inputs has not received as much attention historically as state estimation, there are many applications where an improved understanding of the immeasurable input to a structure is vital (e.g. validating temporally varying and spatially-varying load models for large structures such as buildings and ships). In this paper, the introduction contains a brief summary of previous input estimation studies. Next, an adjoint-based optimization method is used to estimate dynamic inputs to two experimental structures. The technique is evaluated in simulation and with experimental data both on a cantilever beam and on a three-story frame structure. The performance and limitations of the adjoint-based input estimation technique are discussed.

  20. ,"Maine Natural Gas Input Supplemental Fuels (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Maine Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","0930...

  1. Input apparatus for dynamic signature verification systems

    DOE Patents [OSTI]

    EerNisse, Errol P. (Albuquerque, NM); Land, Cecil E. (Albuquerque, NM); Snelling, Jay B. (Albuquerque, NM)

    1978-01-01

    The disclosure relates to signature verification input apparatus comprising a writing instrument and platen containing piezoelectric transducers which generate signals in response to writing pressures.

  2. ,"Washington Natural Gas Input Supplemental Fuels (MMcf)"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Washington Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","09...

  3. ,"Hawaii Natural Gas Input Supplemental Fuels (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Hawaii Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","0930...

  4. ,"Texas Natural Gas Input Supplemental Fuels (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","0930...

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

    E-Print Network [OSTI]

    San Andres, Luis

    2009-01-01

    Safety Data Sheet for further information. Note: This product is not controlled under Canadian WHMIS legislation. The Mobil logotype and the Pegasus design are trademarks of Exxon Mobil Corporation, or one of its subsidiaries. ExxonMobil Lubricants... & Specialties All products may not be available locally. For more information, contact your local sales office or visit www.exxonmobil.com. ExxonMobil is comprised of numerous affiliates and subsidiaries, many with names that include Esso, Mobil, or ExxonMobil...

  6. Asynchronous vs Synchronous Input-Queued Switches

    E-Print Network [OSTI]

    1 Asynchronous vs Synchronous Input-Queued Switches Andrea Bianco, Davide Cuda, Paolo Giaccone Dipartimento di Elettronica, Politecnico di Torino (Italy) 3 Abstract--Input-queued (IQ) switches are one of the reference archi- tectures for the design of high-speed packet switches. Classical results in this field

  7. Asynchronous vs Synchronous Input-Queued Switches

    E-Print Network [OSTI]

    Asynchronous vs Synchronous Input-Queued Switches Andrea Bianco, Davide Cuda, Paolo Giaccone, Fabio Neri Dipartimento di Elettronica, Politecnico di Torino (Italy) Abstract--Input-queued (IQ) switches are one of the reference architectures for the design of high-speed packet switches. Clas- sical results

  8. SATURATION COMPENSATING INPUT SHAPERS FOR REDUCING VIBRATION

    E-Print Network [OSTI]

    Singhose, William

    input shaper and feedback controller was successfully implemented by Drapeau and Wang on a five-bar The Woodruff School of Mechanical Engineering Georgia Institute of Technology Atlanta, GA 30332, USA ABSTRACT Input shaping can be used to eliminate or greatly reduce residual vibration of flexible mechanical

  9. Jerk Limited Input Shapers Tarunraj Singh

    E-Print Network [OSTI]

    Singh, Tarunraj

    ACC04 Jerk Limited Input Shapers Tarunraj Singh tsingh@eng.buffalo.edu State University of New York with the impulse sequence. Singh and Vadali [8] proposed a technique to design time-delay filters whose performance and Watanabe [11], multi-hump input shapers by Singhose et al., minimax filters by Singh [12], user specified

  10. Jerk Limited Input Shapers Tarunraj Singh

    E-Print Network [OSTI]

    Singh, Tarunraj

    Jerk Limited Input Shapers Tarunraj Singh Department of Mechanical and Aerospace Engineering SUNY. Singh and Vadali 5 pro- posed a technique to design time-delay filters whose performance was identical and Watanabe 6 , multi-hump input shapers by Singhose et al., minimax filters by Singh 7 , user specified time

  11. Weather Forecast Data an Important Input into Building Management Systems 

    E-Print Network [OSTI]

    Poulin, L.

    2013-01-01

    Implementation and Operational Services Section Canadian Meteorological Centre, Dorval, Qc National Prediction Operations Division ICEBO 2013, Montreal, Qc October 10 2013 Version 2013-09-27 Weather Forecast Data An Important Input into Building..., Martin Fradette Environment Canada RPN ? Recherche en Pr?vision num?rique Dr. Wei Yu, Dr. Paul Vaillancourt, Dr. Sylvie Leroyer Natural Resources Canada ? Canmet Energy Dr. Jos? A. Candanedo Overview ? Building management and weather information...

  12. 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

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

    E-Print Network [OSTI]

    Uppal, Momin Ayub

    2009-06-02

    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 ...

  14. 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: ...

  15. U-139: IBM Tivoli Directory Server Input Validation Flaw

    Broader source: Energy.gov [DOE]

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

  16. 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.

  17. Assumption to the Annual Energy Outlook 2014 - Commercial Demand Module

    Annual Energy Outlook [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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (BillionTechnical InformationDecade Year-0 2

  18. Assumption to the Annual Energy Outlook 2014 - Electricity Market Module

    Annual Energy Outlook [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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (BillionTechnical InformationDecade Year-0 2Market Module This page

  19. Assumption to the Annual Energy Outlook 2014 - Industrial Demand Module

    Annual Energy Outlook [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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (BillionTechnical InformationDecade Year-0 2Market Module This pageIndustrial

  20. Assumption to the Annual Energy Outlook 2014 - International Energy Module

    Annual Energy Outlook [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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (BillionTechnical InformationDecade Year-0 2Market Module This

  1. Assumption to the Annual Energy Outlook 2014 - Macroeconomic Activity Module

    Annual Energy Outlook [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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (BillionTechnical InformationDecade Year-0 2Market Module ThisMacroeconomic

  2. Assumption to the Annual Energy Outlook 2014 - Renewable Fuels Module

    Annual Energy Outlook [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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (BillionTechnical InformationDecade Year-0 2Market ModuleOil and Gas

  3. Assumption to the Annual Energy Outlook 2014 - Residential Demand Module

    Annual Energy Outlook [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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (BillionTechnical InformationDecade Year-0 2Market ModuleOil and GasDemand

  4. Assumption to the Annual Energy Outlook 2014 - Transportation Demand Module

    Annual Energy Outlook [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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (BillionTechnical InformationDecade Year-0 2Market ModuleOil and

  5. Assumptions to the Annual Energy Outlook 2014 - Abbreviations

    Annual Energy Outlook [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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (BillionTechnical InformationDecade Year-0 2Market ModuleOil and This

  6. Assumptions to the Annual Energy Outlook 2014 - Coal Market Module

    Annual Energy Outlook [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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (BillionTechnical InformationDecade Year-0 2Market ModuleOil and ThisMarket

  7. Clauser-Horne Bell test with imperfect random inputs

    E-Print Network [OSTI]

    Xiao Yuan; Qi Zhao; Xiongfeng Ma

    2015-05-16

    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.

  8. The political life of information: "Information" and the practice of governance in India

    E-Print Network [OSTI]

    Srinivasan, Janaki

    2011-01-01

    the Right To Information (RTI) campaign’s basic assumption.hearings and RTI dharna .78Rupees (Indian currency) RTI – Right to Information SC –

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

    E-Print Network [OSTI]

    Zheng, Jun

    2006-01-01

    in Electrical and Computer Engineering (Communication Theoryin Electrical and Computer Engineering (Communication Theory

  10. 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.

    1984-05-01

    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)

  11. Nevada 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,Decade Year-03.823,172Year Jan Feb MarDecade Year-0 Year-1Input

  12. New Hampshire 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,Decade Year-03.823,172Year Jan FebInput Supplemental Fuels

  13. New Jersey 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,Decade Year-03.823,172Year JanDecade Year-0 Year-129620,790Input

  14. New Mexico 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,Decade Year-03.823,172YearDecade Year-0Feet)Input Supplemental

  15. North 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYear Jan Feb MarFeet)Feet)Input Supplemental Fuels

  16. Ohio 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYear JanNew Field Discoveries (BillionDecadeInput

  17. Pennsylvania 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYear JanNewMajorInput Supplemental Fuels (Million Cubic

  18. Rhode Island 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYearby the(Dollars1.840 2.318 3.1195) Model8)32392,743Input

  19. 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYearby the(Dollars1.840YearDecadeThousandDecadeInput

  20. 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal,Demand Module of theCubicEstimation ResultsYear JanYearDay)Year JanInput

  1. 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal,Demand Module of theCubicEstimation ResultsYearYearYear Jan FebInput

  2. 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal,Demand Module of theCubicEstimation10,428 285,726 264,589Feet)Input

  3. 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal,Demand Module of6,090 7,163 10,532 14,881 23,209DecadeFeet)087,066Input

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

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

    Comments relevant to the following two sections of the RFI: "Long Term Issues: Managing a Grid with High Penetration of New Technologies" and "Reliability and Cyber-Security," US...

  5. Summary of Input to DOE Request for Information

    E-Print Network [OSTI]

    (freezing) · Gas diffusion layer as pertains to water transport · Self humidifying stack designs should place on the technical topic areas and the different fuel cell application areas (transportation · Development of characterization methods · Gas and water transport through the GDL and flow fields · Water

  6. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon: EnergyNongqishiCleanAlincaUK LtdCorpFlexxOCEESOCROECD

  7. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyThe U.S.Lacledeutilities. The Economics ofConductMultiple vulnerabilitiesApple

  8. Summary of Stakeholder Input From May 2015 Request for Information |

    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 Data Center Home Page on Delicious Rank EERE: Alternative FuelsofProgram: Report15 Meeting State EnergyStrategicSubsidy forDepartmentDepartment

  9. Reverse Engineering a Signaling Network Using Alternative Inputs

    E-Print Network [OSTI]

    Tanaka, Hiromasa; Yi, Tau-Mu

    2009-01-01

    to our concept of an alternative input; ( 2) Parallelism,4 | Issue 10 | e7622 Alternative Inputs Theory 15. Huh WK,Synthetic morphology using alternative inputs. PLoS One 4:

  10. BEHAVIORAL ASSUMPTION-BASED PREDICTION FOR HIGH-LATENCY HIDING IN MOBILE GAMES

    E-Print Network [OSTI]

    Bidarra, Rafael

    Carpentier and Rafael Bidarra Computer Graphics and CAD/CAM Group Faculty of Electrical Engineering assumptions, designed to be suitable for racing titles. Although these assumptions limit the accuracy it possible to create a real-time multi-player race game using today's GPRS network. INTRODUCTION The widely

  11. Gravity Transform for Input Conditioning in

    E-Print Network [OSTI]

    Paiva, António R. C.

    Gravity Transform for Input Conditioning in Brain Machine Interfaces António R. C. Paiva, José C. Motivation 2. Methods i. Gravity Transform ii. Modeling and output sensitivity analysis 3. Data Analysis #12;3 Outline 1. Motivation 2. Methods i. Gravity Transform ii. Modeling and output sensitivity analysis 3. Data

  12. Green Computing input for better outcomes

    E-Print Network [OSTI]

    Zhao, Feng

    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

  13. The Net Effect of Exchange Rates on Agricultural Inputs and Outputs 

    E-Print Network [OSTI]

    Johnson, Myriah D.

    2012-10-19

    throughout my time here at Texas A&M. viii NOMENCLATURE BACE Bayesian Averaging of Classical Estimates BU Bushel CWT Hundred-weight DAP Di-ammonium Phosphate EIA Energy Information Administration ERS Economic Research Service RFS Renewable Fuel... on operating capital. A portion of the inputs, fertilizer, chemicals, and fuel, are imported. For corn and wheat, inputs are similar and according to the Federal Reserve Bank of Kansas City ?wheat and corn producers feel more of a pinch from higher energy...

  14. 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

    2014-04-01

    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.

  15. V-153: Symantec Brightmail Gateway Input Validation Flaw Permits...

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

    T-701: Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks U-001:Symantec IM Manager Input Validation Flaws...

  16. 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...

  17. Tribal Leaders Provide White House with Input on Bolstering Climate...

    Energy Savers [EERE]

    Tribal Leaders Provide White House with Input on Bolstering Climate Resilience Tribal Leaders Provide White House with Input on Bolstering Climate Resilience January 7, 2015 -...

  18. Addressing Uncertainties in Design Inputs: A Case Study of Probabilist...

    Office of Environmental Management (EM)

    Addressing Uncertainties in Design Inputs: A Case Study of Probabilistic Settlement Evaluations for Soft Zone Collapse at SWPF Addressing Uncertainties in Design Inputs: A Case...

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

    E-Print Network [OSTI]

    J. E. Gough

    2015-01-09

    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.

  20. A generalized linear model of the impact of direct and indirect inputs to the lateral geniculate nucleus

    E-Print Network [OSTI]

    Paninski, Liam

    retinal ganglion cell (RGC), in addition to indirect input from other sources including interneurons in processing visual information remains a matter of debate (Sherman and Guillery, 2002; Carandini et al., 2005 in demonstrating that non-retinal inputs to the relay cells significantly alter LGN activity, and enough is known

  1. Moldy Assumptions

    E-Print Network [OSTI]

    Heully, Gustave Paul

    2012-01-01

    historian of architecture and technology had waded out tillspores tie architecture’s tectonics and technologies to theon architecture’s connection to philosophy, technology and

  2. Input-ouput approximation for nonlinear structural dynamics 

    E-Print Network [OSTI]

    Beaver, Stefanie Rene'

    2009-05-15

    . Nonlinear Assumed Model with Fixed Rotation Rate . 51 V NONLINEAR INPUT-OUTPUT APPROXIMATION . . . . . . 54 A. Algorithm Overview . . . . . . . . . . . . . . . . . . . . . 54 B. Linear Input-Output Approximation . . . . . . . . . . . . 57 C. Least Squares.... Quadratic Assumed Modes with Higher-Order Terms . 77 ix CHAPTER Page 2. Application of Nonlinear Input-Output Approxi- mation Algorithm . . . . . . . . . . . . . . . . . . . . 81 a. Linear Input-Output Approximation . . . . . . . 82 b. Least Squares...

  3. Generalized Input/Output Equations and Nonlinear Realizability

    E-Print Network [OSTI]

    Wang, Yuan

    operator satisfies a possibly high-order differential input/output equation, then it is locally realizable-9108250 and DMS-9403924 Keywords: Generating series, local realization of input/output operators, input/outputGeneralized Input/Output Equations and Nonlinear Realizability Yuan Wang Mathematics Department

  4. Scratch Input: Creating Large, Inexpensive, Unpowered and Mobile Finger Input Surfaces

    E-Print Network [OSTI]

    Olsen Jr., Dan R.

    to appropriate existing, large, passive sur- faces such as desks and walls, for use as a kind of input device typical house and office noises, for example, voice (90- 300Hz), singing (80-1200Hz), typical mechanical

  5. The role of geologic assumptions in solving complex contaminant transport problems 

    E-Print Network [OSTI]

    Bustamante, Louis Sorola

    1995-01-01

    Commonly used ground-water flow and con t transport computer models often assume a homogeneous, isotropic medium. Most hydrogeological systems are very complex and violate the basic assumptions underlying these models. However, even complex...

  6. Washington International Renewable Energy Conference (WIREC) 2008 Pledges. Methodology and Assumptions Summary

    SciTech Connect (OSTI)

    Babiuch, Bill; Bilello, Daniel E.; Cowlin, Shannon C.; Mann, Margaret; Wise, Alison

    2008-08-01

    This report describes the methodology and assumptions used by NREL in quantifying the potential CO2 reductions resulting from more than 140 governments, international organizations, and private-sector representatives pledging to advance the uptake of renewable energy.

  7. Justification of the Modeling Assumptions in the Intermediate Fidelity Models for Portable Power Generation

    E-Print Network [OSTI]

    . For drastically different approaches, e.g., homogeneous combustion [7, 8] this assumption may not be appropriate. 2.1.2 3d-CFD Duct-Reactor Simulation Here we examine the effect of averaging the heat conductivity

  8. CBE UFAD cost analysis tool: Life cycle cost model, issues and assumptions

    E-Print Network [OSTI]

    Webster, Tom; Benedek, Corinne; Bauman, Fred

    2008-01-01

    Building Maintenance and Repair Cost Reference. ” WhitestoneJ. Wallis and H. Lin. 2008. “CBE UFAD Cost Analysis Tool:UFAD First Cost Model, Issues and Assumptions. ” Center for

  9. 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

  10. Total Blender Net Input of Petroleum Products

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight Paths30,2,8, 2015End Use:Input

  11. Multiple-Input Multiple-Output (MIMO) Linear Systems Extreme Inputs/Outputs

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

    Smallwood, David O.

    2007-01-01

    A linear structure is excited at multiple points with a stationary normal random process. The response of the structure is measured at multiple outputs. If the autospectral densities of the inputs are specified, the phase relationships between the inputs are derived that will minimize or maximize the trace of the autospectral density matrix of the outputs. If the autospectral densities of the outputs are specified, the phase relationships between the outputs that will minimize or maximize the trace of the input autospectral density matrix are derived. It is shown that other phase relationships and ordinary coherence less than one willmore »result in a trace intermediate between these extremes. Least favorable response and some classes of critical response are special cases of the development. It is shown that the derivation for stationary random waveforms can also be applied to nonstationary random, transients, and deterministic waveforms.« less

  12. The Assumption of Class-Conditional Independence in Category Learning Jana Jarecki (jarecki@mpib-berlin.mpg.de)

    E-Print Network [OSTI]

    Nelson, Jonathan D.

    The Assumption of Class-Conditional Independence in Category Learning Jana Jarecki (jarecki Berlin, Germany Abstract This paper investigates the role of the assumption of class- conditional. Treating features as class- conditionally independent can in many situations substantially facilitate

  13. Analysis and Computation of the Outage Probability of Discrete-Input Block-Fading Channels

    E-Print Network [OSTI]

    Guillén i Fàbregas, Albert

    Analysis and Computation of the Outage Probability of Discrete-Input Block-Fading Channels Khoa D IS ELIGIBLE FOR THE STUDENT PAPER AWARD. In this paper, we propose a tight lower bound to the outage is not supported by a particular channel realization [1], [2]. This probability is named the information outage

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

    E-Print Network [OSTI]

    Garcia, Christopher

    2011-08-08

    . 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...

  15. A Comparative Study of Speech and Dialed Input Voice Interfaces in Rural India

    E-Print Network [OSTI]

    Parikh, Tapan S.

    A Comparative Study of Speech and Dialed Input Voice Interfaces in Rural India Neil Patel1 University HCI Group 2 IBM India Research Laboratory Computer Science, Stanford, CA 94025 New Delhi, India School of Information Ahmedabad, Gujarat, India Berkeley, CA 94720 pdave68@gmail.com parikh

  16. 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 ...

  17. 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 ...

  18. Multivariate Input Models for Stochastic Simulation Michael E. Kuhl

    E-Print Network [OSTI]

    Kuhl, Michael E.

    Multivariate Input Models for Stochastic Simulation Michael E. Kuhl Department of Industrial are presented for modeling and randomly sampling many of the multivariate probabilistic input processes decision analysis illustrates the proposed technique. Also discussed is a multivariate extension

  19. U-144:Juniper Secure Access Input Validation Flaw Permits Cross...

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

    prior to 7.0R9 and 7.1R ABSTRACT: The VPN management interface does not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause...

  20. Refinery Input by PADD - Petroleum Supply Annual (2004)

    SciTech Connect (OSTI)

    2009-01-18

    Table showing refinery input of crude oil and petroleum products by Petroleum Administration for Defense Districts (PADD).

  1. 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

  2. Banded Matrix Fraction Representation of Triangular Input Normal Pairs

    E-Print Network [OSTI]

    Banded Matrix Fraction Representation of Triangular Input Normal Pairs Andrew P. Mullhaupt #3 if and only if A is triangular and AA #3; + BB #3; = I n , where I n is the identity matrix. Input normal and A is a matrix fraction, A = M 1 N , where M and N are triangular matrices of low bandwidth. For single input

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

    SciTech Connect (OSTI)

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

    2013-01-01

    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.

  4. 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)

    2006-02-01

    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.

  5. High-frequency matrix converter with square wave input

    DOE Patents [OSTI]

    Carr, Joseph Alexander; Balda, Juan Carlos

    2015-03-31

    A device for producing an alternating current output voltage from a high-frequency, square-wave input voltage comprising, high-frequency, square-wave input a matrix converter and a control system. The matrix converter comprises a plurality of electrical switches. The high-frequency input and the matrix converter are electrically connected to each other. The control system is connected to each switch of the matrix converter. The control system is electrically connected to the input of the matrix converter. The control system is configured to operate each electrical switch of the matrix converter converting a high-frequency, square-wave input voltage across the first input port of the matrix converter and the second input port of the matrix converter to an alternating current output voltage at the output of the matrix converter.

  6. Water transfer in soil at low water content. Is the local equilibrium assumption still appropriate?

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Water transfer in soil at low water content. Is the local equilibrium assumption still appropriate Montpellier, France Abstract The dynamics of water content in the superficial layers of soils is critical a retardation time and a decrease in phase change rate as the water content gets lower. Therefore, the objective

  7. 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

  8. 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

  9. Biennial Assessment of the Fifth Power Plan Gas Turbine Power Plant Planning Assumptions

    E-Print Network [OSTI]

    from the heat recovery steam generator powers an additional steam turbine, providing extra electricBiennial Assessment of the Fifth Power Plan Gas Turbine Power Plant Planning Assumptions October 17, 2006 Simple- and combined-cycle gas turbine power plants fuelled by natural gas are among the bulk

  10. Complete Knowledge Assumption Often you want to assume that your knowledge is complete.

    E-Print Network [OSTI]

    Valtorta, Marco

    Complete Knowledge Assumption Often you want to assume that your knowledge is complete. Example: assume that a database of what students are enrolled in a course is complete. The definite clause language is monotonic: adding clauses can't invalidate a previous conclusion. Under the complete knowledge

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

    SciTech Connect (OSTI)

    Lai, B.Y.; Poirier, R.N.

    1996-08-01

    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.

  12. 1 Relaxing the Multivariate Normality Assumption in the Simulation 2 of Transportation System Dependencies

    E-Print Network [OSTI]

    Kockelman, Kara M.

    1 1 Relaxing the Multivariate Normality Assumption in the Simulation 2 of Transportation System network analysis literature is the3 use of the multivariate normal (MVN) distribution. While in certain to sample from these case-specific multivariate distributions in simulation studies (see, e.g.,14 Ghosh

  13. Requirements Engineering for Cross-organizational ERP Implementation: Undocumented Assumptions and Potential Mismatches

    E-Print Network [OSTI]

    Wieringa, Roel

    Requirements Engineering for Cross-organizational ERP Implementation: Undocumented Assumptions) for Enterprise Resource Planning (ERP) in a cross- organizational context is how to find a match between the ERP for analyzing coordination requirements in inter-organizational ERP projects from a coordination theory

  14. Eolian inputs of lead to the North Pacific

    SciTech Connect (OSTI)

    Jones, C.E.; Halliday, A.N.; Rea, D.K.; Owen, R.M.

    2000-04-01

    The authors evaluate the importance of natural eolian Pb to the dissolved oceanic Pb budget by measuring the isotopic composition of Pb in 35 Holocene and late Quaternary sediment samples from the North Pacific and in 10 samples of Chinese loess. When the Pacific is divided into sediments provinces based on published {var_epsilon}{sub Nd} and sedimentological data, Pb from the central North Pacific tends to be the most radiogenic and homogeneous due to the dominance of eolian Chinese loess. Lead from the marginal North Pacific and the sparsely sampled regions south of 5{degree}N are less radiogenic and more variable owing to hemipelagic inputs from various volcanic arcs and older continental crust located around the Pacific Rim. {sup 208}Pb/{sup 204}Pb ratios provide the most distinctive provenance information due to the relatively high ratios in Chinese loess. The Chinese loess samples come from 3 localities and span up to 2 Myr of time. Acetic-acid leachate, bulk loess, and loess silicate fractions were analyzed separately. Leachate Pb is considerably less radiogenic than silicate Pb. The isotopic composition of the silicate component closely matches the sediment data from the central North Pacific, confirming the dominance of eolian loess in this region. The authors divided up a suite of published hydrogenous Pb-isotope data from the Pacific Ocean according to their locations within the three independently defined sediment provinces. These data define three distinct fields differentiated primarily by their {sup 206}Pb/{sup 204}Pb ratios, which increase going form the Central to Southern to Marginal provinces. This relationship with sediment province strongly suggests that natural eolian and probably hemipelagic inputs significantly impact the seawater Pb budget. Direct support for the dominance of eolian Chinese loess in the central North Pacific dissolved Pb budget comes from the close match between loess leachate Pb and the Central Province hydrogenous Pb data. Eolian inputs are likely to dominate local seawater Pb budgets only where eolian Pb fluxes are high relative to hemipelagic Pb fluxes and where the flux of Pb carried by deep water advection is low.

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

    SciTech Connect (OSTI)

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

    1981-12-01

    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.

  16. Initial Type Assumption A0 A0(x) = a. a for all x V

    E-Print Network [OSTI]

    Ábrahám, Erika

    Initial Type Assumption A0 A0(x) = a. a for all x V A0(c) = pre-defined type schema in haskell, for all c C0 A0(constr) = (type1 . . . typen (tyconstr a1 . . . am)), A0(bot) = a. a A0(isa fails because of a failing unification problem. Let c C V. · W( A + {c :: a1, . . . , an. }, c

  17. Initial Type Assumption A0 A0(x) = a. a for all x V

    E-Print Network [OSTI]

    Ábrahám, Erika

    Initial Type Assumption A0 A0(x) = a. a for all x V A0(c) = pre-defined type schema in haskell, for all c C0 A0(constr) = (type1 . . . typen (tyconstr a1 . . . am)), A0(bot) = a. a A0(if) = a. Bool a pair (, ) or the computation fails because of a failing unification problem. Let c C V. · W( A + {c

  18. Addressing Uncertainty in Desigh Inputs: A Case Study of Probabilisti...

    Office of Environmental Management (EM)

    Addressing Uncertainties in Design Inputs: A Case Study of Probabilistic Settlement Evaluations for Soft Zone Collapse at SWPF Tom Houston, Greg Mertz, Carl Costantino, Michael...

  19. T-701: Citrix Access Gateway Enterprise Edition Input Validation...

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

    ABSTRACT: Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks. reference LINKS: SecurityTracker Alert ID:...

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

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

    Validation Flaw Permits Cross-Site Scripting Attacks T-701: Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks...

  1. Microsoft Word - SmartGrid - NRC Input to DOE Requestrvjcomments...

    Office of Environmental Management (EM)

    Notices) Smart Grid Implementation Input - NRC Contact: Kenn A. Miller, Office of Nuclear Reactor Regulation, 301-415-3152 Comments relevant to the following two sections...

  2. ,"New Mexico 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 Mexico Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","0930...

  3. Explicitly integrating parameter, input, and structure uncertainties into Bayesian Neural Networks for probabilistic hydrologic forecasting

    SciTech Connect (OSTI)

    Zhang, Xuesong; Liang, Faming; Yu, Beibei; Zong, Ziliang

    2011-11-09

    Estimating uncertainty of hydrologic forecasting is valuable to water resources and other relevant decision making processes. Recently, Bayesian Neural Networks (BNNs) have been proved powerful tools for quantifying uncertainty of streamflow forecasting. In this study, we propose a Markov Chain Monte Carlo (MCMC) framework to incorporate the uncertainties associated with input, model structure, and parameter into BNNs. This framework allows the structure of the neural networks to change by removing or adding connections between neurons and enables scaling of input data by using rainfall multipliers. The results show that the new BNNs outperform the BNNs that only consider uncertainties associated with parameter and model structure. Critical evaluation of posterior distribution of neural network weights, number of effective connections, rainfall multipliers, and hyper-parameters show that the assumptions held in our BNNs are not well supported. Further understanding of characteristics of different uncertainty sources and including output error into the MCMC framework are expected to enhance the application of neural networks for uncertainty analysis of hydrologic forecasting.

  4. Geological input to reservoir simulation, Champion Field, offshore Brunei

    SciTech Connect (OSTI)

    Carter, R.; Salahudin, S.; Ho, T.C.

    1994-07-01

    Brunei Shell Petroleum's giant Champion field is in a mature stage of development with about 23 yr of production history to date. The field comprises a complex sequence of Miocene shallow marine and deltaic layered clastic reservoirs cut by numerous growth faults. This study was aimed at providing a quantified estimate of the effect of lateral and vertical discontinuities within the I and J reservoirs on the recovery for both depletion drive and in a waterflood, with a view to identifying the optimal method of completing the development of the oil reserves in this area. Geological input to the ECLIPSE simulator was aimed at quantifying two key parameters: (1) STOIIP connected to the well bore and (2) permeability contrast. Connected STOIIP is a function of the domain size of interconnected sand bodies, and this parameter was quantified by the use of detailed sedimentology resulting in sand-body facies maps for each reservoir sublayer. Permeability contrast was quantified by using a wireline-log based algorithm, calibrated against core data, which improved the existing accuracy of permeability estimates in this part of the field. Results of simulation runs illustrate the importance of quantifying geologic heterogeneity and provide valuable information for future field development planning.

  5. Methods to Register Models and Input/Output Parameters for Integrated Modeling

    SciTech Connect (OSTI)

    Droppo, James G.; Whelan, Gene; Tryby, Michael E.; Pelton, Mitchell A.; Taira, Randal Y.; Dorow, Kevin E.

    2010-07-10

    Significant resources can be required when constructing integrated modeling systems. In a typical application, components (e.g., models and databases) created by different developers are assimilated, requiring the framework’s functionality to bridge the gap between the user’s knowledge of the components being linked. The framework, therefore, needs the capability to assimilate a wide range of model-specific input/output requirements as well as their associated assumptions and constraints. The process of assimilating such disparate components into an integrated modeling framework varies in complexity and difficulty. Several factors influence the relative ease of assimilating components, including, but not limited to, familiarity with the components being assimilated, familiarity with the framework and its tools that support the assimilation process, level of documentation associated with the components and the framework, and design structure of the components and framework. This initial effort reviews different approaches for assimilating models and their model-specific input/output requirements: 1) modifying component models to directly communicate with the framework (i.e., through an Application Programming Interface), 2) developing model-specific external wrappers such that no component model modifications are required, 3) using parsing tools to visually map pre-existing input/output files, and 4) describing and linking models as dynamic link libraries. Most of these approaches are illustrated using the widely distributed modeling system called Framework for Risk Analysis in Multimedia Environmental Systems (FRAMES). The review concludes that each has its strengths and weakness, the factors that determine which approaches work best in a given application.

  6. 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

  7. Delay Analysis of Combined Input-Crosspoint Queueing Switches

    E-Print Network [OSTI]

    Hamdi, Mounir

    Delay Analysis of Combined Input-Crosspoint Queueing Switches Ge Nong, Ning Situ and Mounir Hamdi Abstract-- The switch architecture with the combined input- crosspoint queueing (CICQ) scheme has been recognized as a practical promising solution for building cost-effective high- performance switches. In an N

  8. Input of 129 I into the western Pacific Ocean resulting

    E-Print Network [OSTI]

    Buesseler, Ken

    Input of 129 I into the western Pacific Ocean resulting from the Fukushima nuclear event S. J characterization of the input of 129 I into the Pacific Ocean resulting from the 2011 Fukushima nuclear accident at the Fuku- shima Daiichi nuclear power plant that caused the release of radioactive elements

  9. EXPERIMENTAL ANALYSIS OF INPUT WEIGHT FREEZING IN CONSTRUCTIVE NEURAL NETWORKS

    E-Print Network [OSTI]

    Yeung, Dit-Yan

    EXPERIMENTAL ANALYSIS OF INPUT WEIGHT FREEZING IN CONSTRUCTIVE NEURAL NETWORKS Tin­Yau Kwok Dit network. One calls for freezing the input weights of the original network and training only those of freezing is different for different problem domains and hence is not conclusive. This paper describes

  10. Channel bed evolution and sediment transport under declining sand inputs

    E-Print Network [OSTI]

    Montgomery, David R.

    Channel bed evolution and sediment transport under declining sand inputs Karen B. Gran,1,2 David R structure development and sediment transport as sand inputs decline. On the Pasig-Potrero River, we investigated channel recovery following emplacement of sand-rich pyroclastic deposits in the 1991 eruption

  11. BOLD noise assumptions in fMRI Alle Meije Wink1 and Jos B. T. M. Roerdink2,3

    E-Print Network [OSTI]

    Roerdink, Jos B.T.M.

    1 BOLD noise assumptions in fMRI Alle Meije Wink1 and Jos B. T. M. Roerdink2,3 1 Brain Mapping Unit-- This paper discusses the assumption of Gaussian noise in the blood oxygenation dependent (BOLD) contrast by reviewing differences between Rician and Gaussian noise. An analytic expression is derived for the null

  12. 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

  13. Bases, Assumptions, and Results of the Flowsheet Calculations for the Decision Phase Salt Disposition Alternatives

    SciTech Connect (OSTI)

    Dimenna, R.A.; Jacobs, R.A.; Taylor, G.A.; Durate, O.E.; Paul, P.K.; Elder, H.H.; Pike, J.A.; Fowler, J.R.; Rutland, P.L.; Gregory, M.V.; Smith III, F.G.; Hang, T.; Subosits, S.G.; Campbell, S.G.

    2001-03-26

    The High Level Waste (HLW) Salt Disposition Systems Engineering Team was formed on March 13, 1998, and chartered to identify options, evaluate alternatives, and recommend a selected alternative(s) for processing HLW salt to a permitted wasteform. This requirement arises because the existing In-Tank Precipitation process at the Savannah River Site, as currently configured, cannot simultaneously meet the HLW production and Authorization Basis safety requirements. This engineering study was performed in four phases. This document provides the technical bases, assumptions, and results of this engineering study.

  14. Assumptions and Expectations for Annual Energy Outlook 2015: Oil and Gas Working Group

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 Arizona - NaturalYear Jan FebProved3)/1Assumptions

  15. Assumptions and Expectations for Annual Energy Outlook 2015: Oil and Gas Working Group

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 Arizona - NaturalYear Jan FebProved3)/1Assumptions5:

  16. 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)

    1993-01-01

    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.

  17. Wavelength meter having single mode fiber optics multiplexed inputs

    DOE Patents [OSTI]

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

    1993-02-23

    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.

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

    E-Print Network [OSTI]

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

    2015-01-01

    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.

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

    E-Print Network [OSTI]

    Yuan, Shaoyu

    2009-01-01

    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 ...

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

    E-Print Network [OSTI]

    Wetzel, Jon William

    2007-01-01

    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 ...

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

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

    PROBLEM: Cisco Network Admission Control Input Validation Flaw Lets Remote Users Inject SQL Commands PLATFORM: Cisco NAC Manager versions prior to 4.8.3.1 and 4.9.2 ABSTRACT: A...

  2. 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

  3. Directive Language Input to Children Born Preterm and Full Term

    E-Print Network [OSTI]

    Imgrund, Caitlin McCormick

    2013-12-31

    Directive Language Input to Children Born Preterm and Full Term By Caitlin McCormick Imgrund Submitted to the graduate degree program in Speech-Language-Hearing: Sciences and Disorders and the Graduate Faculty of the University of Kansas...D ________________________________ Nancy Brady, PhD Date Defended: September 4, 2013 ii The Thesis Committee for Caitlin McCormick Imgrund certifies that this is the approved version of the following thesis: Directive Language Input to Children Born Preterm...

  4. 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.

    2008-08-01

    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.

  5. CRITICAL ASSUMPTIONS IN THE F-TANK FARM CLOSURE OPERATIONAL DOCUMENTATION REGARDING WASTE TANK INTERNAL CONFIGURATIONS

    SciTech Connect (OSTI)

    Hommel, S.; Fountain, D.

    2012-03-28

    The intent of this document is to provide clarification of critical assumptions regarding the internal configurations of liquid waste tanks at operational closure, with respect to F-Tank Farm (FTF) closure documentation. For the purposes of this document, FTF closure documentation includes: (1) Performance Assessment for the F-Tank Farm at the Savannah River Site (hereafter referred to as the FTF PA) (SRS-REG-2007-00002), (2) Basis for Section 3116 Determination for Closure of F-Tank Farm at the Savannah River Site (DOE/SRS-WD-2012-001), (3) Tier 1 Closure Plan for the F-Area Waste Tank Systems at the Savannah River Site (SRR-CWDA-2010-00147), (4) F-Tank Farm Tanks 18 and 19 DOE Manual 435.1-1 Tier 2 Closure Plan Savannah River Site (SRR-CWDA-2011-00015), (5) Industrial Wastewater Closure Module for the Liquid Waste Tanks 18 and 19 (SRRCWDA-2010-00003), and (6) Tank 18/Tank 19 Special Analysis for the Performance Assessment for the F-Tank Farm at the Savannah River Site (hereafter referred to as the Tank 18/Tank 19 Special Analysis) (SRR-CWDA-2010-00124). Note that the first three FTF closure documents listed apply to the entire FTF, whereas the last three FTF closure documents listed are specific to Tanks 18 and 19. These two waste tanks are expected to be the first two tanks to be grouted and operationally closed under the current suite of FTF closure documents and many of the assumptions and approaches that apply to these two tanks are also applicable to the other FTF waste tanks and operational closure processes.

  6. 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.

    1982-09-01

    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.

  7. A non-linear dimension reduction methodology for generating data-driven stochastic input models

    SciTech Connect (OSTI)

    Ganapathysubramanian, Baskar; Zabaras, Nicholas

    2008-06-20

    Stochastic analysis of random heterogeneous media (polycrystalline materials, porous media, functionally graded materials) provides information of significance only if realistic input models of the topology and property variations are used. This paper proposes a framework to construct such input stochastic models for the topology and thermal diffusivity variations in heterogeneous media using a data-driven strategy. Given a set of microstructure realizations (input samples) generated from given statistical information about the medium topology, the framework constructs a reduced-order stochastic representation of the thermal diffusivity. This problem of constructing a low-dimensional stochastic representation of property variations is analogous to the problem of manifold learning and parametric fitting of hyper-surfaces encountered in image processing and psychology. Denote by M the set of microstructures that satisfy the given experimental statistics. A non-linear dimension reduction strategy is utilized to map M to a low-dimensional region, A. We first show that M is a compact manifold embedded in a high-dimensional input space R{sup n}. An isometric mapping F from M to a low-dimensional, compact, connected set A is contained in R{sup d}(d<input in the solution of stochastic partial differential equations that describe the evolution of dependant variables. A sparse grid collocation strategy (Smolyak algorithm) is utilized to solve these stochastic equations efficiently. We showcase the methodology by constructing low-dimensional input stochastic models to represent thermal diffusivity in two-phase microstructures. This model is used in analyzing the effect of topological variations of two-phase microstructures on the evolution of temperature in heat conduction processes.

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

    SciTech Connect (OSTI)

    Marshall, William BJ J; Rearden, Bradley T

    2013-01-01

    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.

  9. 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))

    1992-03-01

    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.

  10. Optical device with conical input and output prism faces

    DOE Patents [OSTI]

    Brunsden, Barry S. (Chicago, IL)

    1981-01-01

    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.

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

    E-Print Network [OSTI]

    E. Minguzzi

    2014-11-28

    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.

  12. 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

    2013-01-01

    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

  13. BETO Seeks Stakeholder Input on the Co-Optimization of Fuels and Engines

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy’s (EERE) Bioenergy Technologies Office (BETO) and Vehicle Technologies Office (VTO) have released a request for information (RFI) titled “Co-Optimization of Fuels and Engines” (Optima). BETO and VTO are seeking input from industry, academia, and other stakeholders on the Optima initiative, which is focused on the development of new fuels and engine architectures that are co-optimized—designed in tandem to maximize performance and carbon efficiency.

  14. 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal,Demand Module of the NationalSalesof Others (Percent)Input Supplemental

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

    E-Print Network [OSTI]

    Rodríguez, 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

  16. An algorithm for amplitude-constrained input design for system identification

    E-Print Network [OSTI]

    Manchester, Ian R.

    We propose an algorithm for design of optimal inputs for system identification when amplitude constraints on the input and output are imposed. In contrast to input design with signal power constraints, this problem is ...

  17. Radiation belt electrons respond to multiple solar wind inputs

    E-Print Network [OSTI]

    Radiation belt electrons respond to multiple solar wind inputs E. J. Rigler,1 M. Wiltberger,1 and D is clearly valuable from a practical standpoint, but the latter helps build confidence in any physical on the fractional or percent variance of radiation belt electron flux that can be attributed to each different solar

  18. SUSTAINABILITY, RESOURCE SUBSTITUTION IN ENERGY INPUTS AND LEARNING

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    SUSTAINABILITY, RESOURCE SUBSTITUTION IN ENERGY INPUTS AND LEARNING Pierre-André JOUVET Ingmar resources (in the sense of non-depletable energy which also includes hydro power, wind energy, solar energy non- renewable fossil fuels and renewable energy resources. As said Andr´e and Cerda (2006), the main

  19. Input to review of STFC UK Nuclear Physics Community

    E-Print Network [OSTI]

    Crowther, Paul

    Input to review of STFC UK Nuclear Physics Community Introduction STFC covers essentially and project funding for Astronomy, Nuclear Physics, Particle Physics and Space Science Since STFC was formed programme. Grant funding Nuclear Physics grant funding was in EPSRC until 2007 and then moved to STFC

  20. Series Input Modular Architecture for Driving Multiple LEDs

    E-Print Network [OSTI]

    regulation is provided using a prototype of the proposed system with four series buck- boost converter cells, zane}@colorado.edu Abstract ­ This paper introduces a modular power converter architecture based on series input connected converter cells with independent outputs that each drive a small series string

  1. Coupled Dual Interleaved Flyback Converter for High Input Voltage Application

    E-Print Network [OSTI]

    Lehman, Brad

    proposed integrated boost converters [7] that are beginning to see applications in automotive power buck-boost (Flyback) power converter [9,10] that utilizes one magnetic core to integrate two FlybackCoupled Dual Interleaved Flyback Converter for High Input Voltage Application Ting Qian, Brad

  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 on a full fuel cycle basis for alternative-fueled vehicles is important when assessing the overall production are a significant portion of the total GHG emissions attributable to the full fuel cycle. Also

  3. 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 STATE PLAN Waterland Stefan Unnasch FULL FUEL CYCLE ANALYSIS PEER REVIEWERS Argonne National Laboratory Michael Wang organizations were given an opportunity to review and comment on the AB 1007 full fuel cycle analysis. Comments

  4. Design of Controllers for a Multiple Input Multiple Output System 

    E-Print Network [OSTI]

    Harris, Amanda Lynne

    2012-07-16

    A method of controller design for multiple input multiple output (MIMO) system is needed that will not give the high order controllers of modern control theory but will be more systematic than the “ad hoc” method. The objective of this method...

  5. Input Data Reduction for the Prediction of Financial Time Series

    E-Print Network [OSTI]

    Verleysen, Michel

    on data from the BEL20 market index. 1. Introduction Since the beginning of this century, the question of the predictability of financial series (at least of stock market prices) has been the subject of a highly. To perform the transformation between the initial inputs and the new variables, we may choose to use a linear

  6. Input Observer: Measuring Text Entry and Pointing Performance from

    E-Print Network [OSTI]

    Wobbrock, Jacob O.

    Input Observer: Measuring Text Entry and Pointing Performance from Naturalistic Everyday Computer that will be capable of measuring a user's text entry and pointing abilities from everyday computer use "in the wild for both text entry and mouse pointing. Keywords Text entry, mouse pointing, field studies, naturalistic

  7. 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

  8. Multiple Input Converters for Fuel Cells Burak Ozpineci1

    E-Print Network [OSTI]

    Tolbert, Leon M.

    Multiple Input Converters for Fuel Cells Burak Ozpineci1 burak@ieee.org Leon M. Tolbert1,2 tolbert-2100 Abstract-- Multilevel converters have been used previously to integrate several fuel cell modules for higher power applications. Some previous publications have also shown improvements in fuel cell

  9. Gene-Mating Dynamic Evolution Theory: fundamental assumptions, exactly solvable models and analytic solutions

    E-Print Network [OSTI]

    Juven Wang; Jiunn-Wei Chen

    2015-01-08

    Fundamental properties of macroscopic gene-mating dynamic evolutionary systems are investigated. A model is proposed to describe a large class of systems within population genetics. We focus on a single locus, arbitrary number alleles in a two-gender dioecious population. Our governing equations are time-dependent continuous differential equations labeled by a set of genotype frequencies. The full parameter space consists of all allowed genotype frequencies. Our equations are uniquely derived from four fundamental assumptions within any population: (1) a closed system; (2) average-and-random mating process (mean-field behavior); (3) Mendelian inheritance; (4) exponential growth and exponential death. Even though our equations are non-linear with time evolutionary dynamics, we have an exactly solvable model. Our findings are summarized from phenomenological and mathematical viewpoints. From the phenomenological viewpoint, any initial genotype frequency of a closed system will eventually approach a stable fixed point. Under time evolution, we show (1) the monotonic behavior of genotype frequencies, (2) any genotype or allele that appears in the population will never become extinct, (3) the Hardy-Weinberg law, and (4) the global stability without chaos in the parameter space. To demonstrate the experimental evidence, as an example, we show a mapping from the blood type genotype frequencies of world ethnic groups to our stable fixed-point solutions. From the mathematical viewpoint, the equilibrium solutions consist of a base manifold as a global stable attractor, attracting any initial point in a Euclidean fiber bundle to the fixed point where the fiber is attached. We can define the genetic distance of two populations as their geodesic distance on the equilibrium manifold. In addition, the modification of our theory under the process of natural selection and mutation is addressed.

  10. 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)

    2008-07-15

    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)

  11. Enriching Sustainable Transport Decisions: Inputs from Operations Research and the Management Sciences

    E-Print Network [OSTI]

    Wellar, Barry; Garrison, William

    2009-01-01

    techniques, research operations, inquiring instruments,Inputs from Operations Research and the Management SciencesInputs from Operations Research and the Management Sciences

  12. A method making fewer assumptions was recommended for estimating exposure–outcome associations in stratified case–cohort studies.

    E-Print Network [OSTI]

    Jones, Edmund; Sweeting, Michael J.; Sharp, Stephen J.; Thompson, Simon G.; EPIC-InterAct Consortium

    2015-04-29

    /plain; charset=UTF-8 ORIGINAL A A method making fewer assumptions s hen Con ary ridge chool amb 15; P on the full cohort can be expensive, for example if bio- different sampling fraction for selecting participants to be in the subcohort. For data from... Act. The subcohort selection for InterAct was34 participants, recruited from 1993 to 1999; this maller than the full EPIC-Europe cohort becauseshown to be very similar between one-stage and two- stage models [15]. The assumptions each model makes about the exposure...

  13. Method and allocation device for allocating pending requests for data packet transmission at a number of inputs to a number of outputs of a packet switching device in successive time slots

    DOE Patents [OSTI]

    Abel, Francois; Iliadis, Ilias; Minkenberg, Cyriel J. A.

    2009-02-03

    A method for allocating pending requests for data packet transmission at a number of inputs to a number of outputs of a switching system in successive time slots, including a matching method including the steps of providing a first request information in a first time slot indicating data packets at the inputs requesting transmission to the outputs of the switching system, performing a first step in the first time slot depending on the first request information to obtain a first matching information, providing a last request information in a last time slot successive to the first time slot, performing a last step in the last time slot depending on the last request information and depending on the first matching information to obtain a final matching information, and assigning the pending data packets at the number of inputs to the number of outputs based on the final matching information.

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

    E-Print Network [OSTI]

    Griffith, Kenfield A. (Kenfield Allistair)

    2012-01-01

    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 ...

  15. Agricultural and Environmental Input Parameters for the Biosphere Model

    SciTech Connect (OSTI)

    K. Rasmuson; K. Rautenstrauch

    2004-09-14

    This analysis is one of 10 technical reports that support the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN) (i.e., the biosphere model). It documents development of agricultural and environmental input parameters for the biosphere model, 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 the repository at Yucca Mountain. The ERMYN provides the TSPA with the capability to perform dose assessments. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships between the major activities and their products (the analysis and model reports) that were planned in ''Technical Work Plan for Biosphere Modeling and Expert Support'' (BSC 2004 [DIRS 169573]). The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes the ERMYN and its input parameters.

  16. Microchannel cross load array with dense parallel input

    DOE Patents [OSTI]

    Swierkowski, Stefan P.

    2004-04-06

    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.

  17. Preliminary Review of Models, Assumptions, and Key Data used in Performance Assessments and Composite Analysis at the Idaho National Laboratory

    SciTech Connect (OSTI)

    Arthur S. Rood; Swen O. Magnuson

    2009-07-01

    This document is in response to a request by Ming Zhu, DOE-EM to provide a preliminary review of existing models and data used in completed or soon to be completed Performance Assessments and Composite Analyses (PA/CA) documents, to identify codes, methodologies, main assumptions, and key data sets used.

  18. A Project Report on NP: an Assumption.based NL Plan Inference System that uses Feature Structures

    E-Print Network [OSTI]

    A Project Report on NP: an Assumption.based NL Plan Inference System that uses Feature Structures-cho,Soraku-gun, Kyoto 619-02, Japan myers@atr-la.atr.co.jp Abstract This paper presents a project report on NP

  19. Green Enterprise Computing Data: Assumptions and Realities Maria Kazandjieva, Brandon Heller, Omprakash Gnawali , Philip Levis, and Christos Kozyrakis

    E-Print Network [OSTI]

    Pratt, Vaughan

    the individual datapoint relates to the full building energy use. The green computing research community canGreen Enterprise Computing Data: Assumptions and Realities Maria Kazandjieva, Brandon Heller, brandonh, pal, christos@cs.stanford.edu, gnawali@cs.uh.edu ABSTRACT Until now, green computing research

  20. Quasi-Newton inversion of seismic first arrivals using source finite1 bandwidth assumption: application to landslides characterization2

    E-Print Network [OSTI]

    Boyer, Edmond

    , Samyn et al. (2011) used a 3D seismic refraction traveltime52 tomography to provide a valuable-00749309,version1-7Nov2012 #12;recommended for all case studies. Seismic refraction can be basicallyQuasi-Newton inversion of seismic first arrivals using source finite1 bandwidth assumption

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

    E-Print Network [OSTI]

    Cina, Jeff

    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

  2. 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

    2008-04-14

    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.

  3. DOE Seeks Industry Input on Nickel Disposition Strategy | Department of

    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 Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based| Department8, 2015 GATEWAY Takes on Another1990,Energy Industry Input

  4. High Impact Technology Hub- Provide Information about Technologies

    Broader source: Energy.gov [DOE]

    The Energy Department identifies and compiles inputs on technologies through a variety of engagement activities including Requests for Information (RFIs), workshops, discussion forums and ongoing...

  5. Seeking Information on Design and Construction of High-Performance...

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

    Office has released a request for information seeking stakeholder input on the design and construction of tenant spaces that achieve high levels of energy efficiency in...

  6. Assumption to the Annual Energy Outlook 2014 - Natural Gas Transmission and Distribution Module

    Annual Energy Outlook [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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (BillionTechnical InformationDecade Year-0 2Market Module

  7. Assumption to the Annual Energy Outlook 2014 - Oil and Gas Supply Module

    Annual Energy Outlook [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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (BillionTechnical InformationDecade Year-0 2Market ModuleOil and Gas Supply

  8. 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

    2012-12-01

    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.

  9. Georgia 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWells (MillionProved% of TotalInput Supplemental Fuels

  10. Hawaii 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWellsMillion Cubic Feet) Havre, MT NaturalYear JanInput

  11. Indiana 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWellsMillion CubicOctober 2015 Estimates%Input

  12. Maine 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014 MEMORANDUM FOR: JOHN CONTIPeterFeet)Input

  13. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014 MEMORANDUM FOR:DecadeCubic Foot)Year JanInput

  14. Michigan 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014 MEMORANDUMProved ReservesDecade Year-0Year JanInput

  15. Arkansas 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 Arizona - Natural GasYear JanYear JanDecadeYearInput

  16. Connecticut 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4Cubic Feet)Cubic1992 ConsumptionYearYear JanInput

  17. Delaware 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4Cubic Feet)Cubic1992Thousand9)% ofYear JanInput

  18. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014 MEMORANDUMProvedFeet) U.S.2Imports (NoYearInput

  19. Refinery & Blenders Net Input of Crude Oil

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets160Product:7a. Space5,168 5,2283,130Input

  20. Dimension Reduction and Covariance Structure for Multivariate Data, Beyond Gaussian Assumption 

    E-Print Network [OSTI]

    Maadooliat, Mehdi

    2012-10-19

    G G G G G G G G G G G G G G G G G G G G G 3.5 4.0 4.5 5.0 5.5 ?0. 2 ?0. 1 0. 0 0. 1 0. 2 After Transformation f(y|?=?0.05531) Residua l G GGG GG G GGG G G G G G G G G GGGGG GGG G G G GG G G G GG... on the multiple- probe information. The so-called Li-Wong Reduced (LWR) model was proposed based on the di erences between PM and MM intensities. Since the MM probes are de- signed originally for measuring the background/nonspeci c intensities, the di erences...

  1. RF Input Power Couplers for High Current SRF Applications

    SciTech Connect (OSTI)

    Khan, V. F.; Anders, W.; Burrill, Andrew; Knobloch, Jens; Kugeler, Oliver; Neumann, Axel; Wang, Haipeng

    2014-12-01

    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.

  2. Residential oil burners with low input and two stages firing

    SciTech Connect (OSTI)

    Butcher, T.; Krajewski, R.; Leigh, R.

    1997-12-31

    The residential oil burner market is currently dominated by the pressure-atomized, retention head burner. At low firing rates pressure atomizing nozzles suffer rapid fouling of the small internal passages, leading to bad spray patterns and poor combustion performance. To overcome the low input limitations of conventional burners, a low pressure air-atomized burner has been developed watch can operate at fining rates as low as 0.25 gallons of oil per hour (10 kW). In addition, the burner can be operated in a high/low fining rate mode. Field tests with this burner have been conducted at a fixed input rate of 0.35 gph (14 kW) with a side-wall vented boiler/water storage tank combination. At the test home, instrumentation was installed to measure fuel and energy flows and record trends in system temperatures. Laboratory efficiency testing with water heaters and boilers has been completed using standard single purpose and combined appliance test procedures. The tests quantify benefits due to low firing rates and other burner features. A two stage oil burner gains a strong advantage in rated efficiency while maintaining capacity for high domestic hot water and space heating loads.

  3. Microsoft Word - StakeholderInputForm_Criteria.doc

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

    form does not qualify the participant for receipt of any service, access to confidential information, or any other right not explicitly stated in Southwestern's Open Access...

  4. Facilitated Discussion Questions (in blue font) and input from...

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

    and summarized by the Facilitator (in black font) Question 1: Biggest challenge to integration and alignment- For information exchange to prosper between buildings devices,...

  5. Soil-related Input Parameters for the Biosphere Model

    SciTech Connect (OSTI)

    A. J. Smith

    2003-07-02

    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.

  6. 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

    2013-01-01

    #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

  7. CASL-U-2015-0043-000 MPACT VERA Common Input User's Manual

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

    couples COBRA-TF to MPACT, and ctfexternal couples MPACT and COBRA-TF through the lime in- terface. The none option will run with> constant input TH conditions. The input...

  8. Tribes Provide Input on 10-Year Plan for Renewable Energy in...

    Office of Environmental Management (EM)

    Tribes Provide Input on 10-Year Plan for Renewable Energy in the Arctic Region Tribes Provide Input on 10-Year Plan for Renewable Energy in the Arctic Region June 2, 2015 - 1:56pm...

  9. V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting...

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

    68: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks May 31, 2013 - 6:00am Addthis...

  10. V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting...

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

    8: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks May 31, 2013 - 6:00am Addthis...

  11. V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site...

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

    9: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting Attacks V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting Attacks August 28, 2013 -...

  12. Soil-Related Input Parameters for the Biosphere Model

    SciTech Connect (OSTI)

    A. J. Smith

    2004-09-09

    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).

  13. Sparse polynomial surrogates for aerodynamic computations with random inputs

    E-Print Network [OSTI]

    Savin, Eric; Peter, Jacques

    2015-01-01

    This paper deals with some of the methodologies used to construct polynomial surrogate models based on generalized polynomial chaos (gPC) expansions for applications to uncertainty quantification (UQ) in aerodynamic computations. A core ingredient in gPC expansions is the choice of a dedicated sampling strategy, so as to define the most significant scenarios to be considered for the construction of such metamodels. A desirable feature of the proposed rules shall be their ability to handle several random inputs simultaneously. Methods to identify the relative "importance" of those variables or uncertain data shall be ideally considered as well. The present work is more particularly dedicated to the development of sampling strategies based on sparsity principles. Sparse multi-dimensional cubature rules based on general one-dimensional Gauss-Jacobi-type quadratures are first addressed. These sets are non nested, but they are well adapted to the probability density functions with compact support for the random in...

  14. 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]

    the impacts of bid format and profit calculation on market outcomes in different scenarios. Index Terms-- Power system economics, Pricing, Market design I. INTRODUCTION ne of the first assumptions in a model Abstract--One important assumption in a model of an electricity market is the format of bids and costs

  15. Bounds on the leakage of the input's distribution in information-hiding protocols

    E-Print Network [OSTI]

    Palamidessi, Catuscia

    and the observables. This is the case, for example, of many anonymity protocols, such as Crowds [22], Onion Routing [27], Tor [13], Tarzan [14], Mix-Nets [7], DC Nets [6], etc. A common framework for studying

  16. Summary of Input Request for Information DE-FOA-0001346 | Department of

    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 Data Center Home Page on Delicious Rank EERE:Financing ToolInternational Affairs, Before the CommitteeYears 2003 -Energy

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

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p aDepartmentEnergyEveryCustomerD= DOE/RG-0067

  18. 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 Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergyPlan | Department of Energy 1DepartmentS EM8,Department

  19. 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 Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergyPlan | Department of Energy 1DepartmentS EM8,Department(Presentation) |

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

    E-Print Network [OSTI]

    Maxwell, Marc A

    1985-01-01

    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 ...

  1. Information encoder/decoder using chaotic systems

    DOE Patents [OSTI]

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

    1997-10-21

    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.

  2. Semi-valid Input Coverage for Fuzz Testing Petar Tsankov, Mohammad Torabi Dashti and David Basin

    E-Print Network [OSTI]

    Basin, David

    We define semi-valid input coverage (SVCov), the first cov- erage criterion for fuzz testing. Our upon the notion of semi-valid inputs to define a coverage criterion for fuzz testing. We defineSemi-valid Input Coverage for Fuzz Testing Petar Tsankov, Mohammad Torabi Dashti and David Basin

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

    E-Print Network [OSTI]

    Wunsch, Carl

    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

  4. Passive spatial and temporal integration of excitatory synaptic inputs in cerebellar Purkinje cells of young rats

    E-Print Network [OSTI]

    Passive spatial and temporal integration of excitatory synaptic inputs in cerebellar Purkinje cells linearly independent of the spatial and temporal separation of inputs. Summation of inputs in a passive. Keywords: Dendritic integration; Parallel fiber; Excitation; Timing; Synchrony; Rat Based on a passive

  5. Workload Design: Selecting Representative Program-Input Pairs Lieven Eeckhout Hans Vandierendonck Koen De Bosschere

    E-Print Network [OSTI]

    Eeckhout, Lieven

    for the given benchmark. This method- ology is validated by showing that program-input pairs that are close in the impact of input data sets on program behavior and profile-guided compiler optimizations. 1 Introduction product [1, 7]. A work- load then typically consists of a number of benchmarks with respective input data

  6. 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.

    2009-02-01

    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.

  7. 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

    2005-07-13

    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.

  8. Non-point source pollution control: an economic analysis of input taxes and alternative production technologies

    SciTech Connect (OSTI)

    Stevens, B.K.

    1982-01-01

    Non-point source pollutants, such as nitrate-nitrogen leached from croplands, cannot be controlled with residuals charges or standards since emissions of individual polluters cannot be measured. Using theoretical and empirical techniques, this study examines the economic properties of two methods that reduce pollution-generating input use: (1) input taxes (2) alternative production technologies. Allocation rules from a model of a Pareto optimum in the presence of a public goods externality are derived and compared to the behavior of individual profit-maximizing firms under the two control strategies. Firm behavior under input taxes can lead to an optimum and they retain the economic attributes of charges since increased prices for pollution-generating inputs affects the value of pollution output. However, voluntary or mandatory adoption of residual-input conserving technologies alone cannot lead firms to internalize an externality, even though a technology control changes input ratios since the quanity of inputs used is still determined by input and output prices. Additionally, higher input prices will induce firms to adopt more efficient technologies, rendering technology controls unnecessary. Thus, a Best Management Practices program based on alternative production technologies will not control pollution at least cost to society. These hypotheses are tested for nitrate-nitrogen leaching with a linear programming model of cropping activites in the Lower Tule Irrigation District of Tulare County, California. The findings support the hypothesis that a residuals charge on nitrates and input taxes on water and fertilizer can equivalently reduce pollution.

  9. 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.

    2013-04-01

    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.

  10. 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.

  11. ,"U.S. Refinery Net Input"

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188Petroleum

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

    SciTech Connect (OSTI)

    Mark D. McKay

    2011-02-01

    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

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

    SciTech Connect (OSTI)

    Chandler, L.R. Jr.

    2000-01-05

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

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

    SciTech Connect (OSTI)

    Cook, J.R.

    1997-09-01

    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`.

  15. 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...

  16. ,"U.S. Blender Net Input"

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1Sales to End Users Refinerto

  17. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S. Coke515 2.494 2.484

  18. Nebraska 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,Decade Year-03.823,172 3,009165,360 165,928Feet) Year Jan

  19. New York 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYear Jan Feb Mar Apr May JunPrice (Dollars perFeet)

  20. North 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYear Jan Feb Mar Apr721,507 836,698 867,922247,047

  1. Oregon 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYear JanNew FieldDecadeYear Jan FebFeet)Year Jan Feb

  2. 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYearbyWithdrawals (MillionYear Jan Feb Mar AprFeet)

  3. 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYearbyWithdrawalsHome6,672 7,2060 0Feet) Year Jan

  4. 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYearbyWithdrawalsHome6,672 7,2060Year0Year JanYear Jan

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

    SciTech Connect (OSTI)

    Salim, Mohd Faiz; Roslan, Ridha; Ibrahim, Mohd Rizal Mamat

    2014-02-12

    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.

  6. Input Validation Testing: A RequirementsDriven, System Level, Early Lifecycle Technique \\Lambda

    E-Print Network [OSTI]

    Offutt, Jeff

    as defined in interface and requirements specifications and then generating test cases for input validation driven application fulfills both of these requirements. Input validation testing, then, is defined of code. There are well defined testing criterion for unit testing [1, 7, 9, 11] but not so for system

  7. Scaling regression inputs by dividing by 2 sd Prior distribution for logistic regression

    E-Print Network [OSTI]

    Gelman, Andrew

    Scaling regression inputs by dividing by 2 sd Prior distribution for logistic regression Comparing Andrew Gelman Some Recent Progress in Simple Statistical Methods #12;Scaling regression inputs by dividing by 2 sd Prior distribution for logistic regression Comparing the upper third to the lower third

  8. Stochastic Analysis of Stable Marriages in Combined Input Output Queued Switches

    E-Print Network [OSTI]

    Goel, Ashish

    Stochastic Analysis of Stable Marriages in Combined Input Output Queued Switches Ashish Goel 1 Balaji Prabhakar 2 Abstract Traditionally, Output Queued switch architectures have been proposed to implement Quality of Service schemes such as Weighted Fair Queueing. Output Queued switches with N input

  9. Generalized switching signals for input-to-state stability of switched systems

    E-Print Network [OSTI]

    Liberzon, Daniel

    Generalized switching signals for input-to-state stability of switched systems Atreyee Kundu-time switched nonlinear systems. Given a family of systems with exogenous inputs such that not all systems in the family are ISS, we characterize a new and general class of switching signals under which the resulting

  10. ATM Input-Buffered Switches with the Guaranteed-Rate Property

    E-Print Network [OSTI]

    McKeown, Nick

    ATM Input-Buffered Switches with the Guaranteed-Rate Property A. Hung G. Kesidis N. Mc the problem of how to support guaranteed-rate services in a single-stage, input-bu ered switch suitable for a LAN switch, an ATM switch or an IP router. Such a switch must be feasible at hightransmissionspeeds, o

  11. Performance Measures for Input Shaping Kris Kozak, John Huey, William Singhose

    E-Print Network [OSTI]

    Singhose, William

    Performance Measures for Input Shaping H Kris Kozak, John Huey, William Singhose Woodruff School command causes little or no vibration. The performance, or efficiency, of the input shaper is generally shaper performance. The result is a thorough understanding of the role of performance measures and

  12. Code optimization and analysis for multiple-input and multiple-output communication systems 

    E-Print Network [OSTI]

    Yue, Guosen

    2005-11-01

    at the output of the soft-input soft-output (SISO) multiuser detectors as a function of the pdf of input extrinsic messages, user spreading codes, channel impulse responses, and signal-to-noise ratios. Using these techniques, we are able to accurately compute...

  13. CHINESE INPUT SYSTEM WITH ARTIFICIAL INTELLIGENCE Cemputer-Aided Instruction Laboratories, Institute of Educat-

    E-Print Network [OSTI]

    CHINESE INPUT SYSTEM WITH ARTIFICIAL INTELLIGENCE Fang Qian Cemputer-Aided Instruction Laboratories of Chinese Language Processing Systems commercially available around the world, of which the main divergence is probably in the input approaches of Chinese characters. But due to the following two facts none

  14. Adaptive control of input field to achieve desired output intensity profile in

    E-Print Network [OSTI]

    Kahn, Joseph M.

    Adaptive control of input field to achieve desired output intensity profile in multimode fiber fiber (MMF) with random mode coupling by controlling the input field distribution using a spatial light objective function. We present an adaptive sequential coordinate ascent (SCA) algorithm for controlling

  15. The Food We Eat: An Evaluation of Food Items Input into an

    E-Print Network [OSTI]

    Connelly, Kay

    The Food We Eat: An Evaluation of Food Items Input into an Electronic Food Monitoring Application participants in a chronic kidney disease (stage 5) population input food items into an electronic intake monitoring application. Participants scanned food item barcodes or voice recorded food items they consumed

  16. Mindfulness training modulates value signals in ventromedial prefrontal cortex through input from insular cortex

    E-Print Network [OSTI]

    Buehrer, R. Michael

    Mindfulness training modulates value signals in ventromedial prefrontal cortex through input from Mindfulness training Longitudinal design Neuroimaging research has demonstrated that ventromedial prefrontal cortex (vmPFC) encodes value signals that can be modulated by top-down cognitive input such as semantic

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

    E-Print Network [OSTI]

    Christman, Kevin D.

    2011-08-08

    -based input power estimation approach.....................................................................................................45 Table 5: Coefficients for Equation 97 determined by regression of the Baldor... and Reliance motor performance data................................................................................70 Table 6: Comparison of Current Method, V?I?PF??3, and Slip Method at predicting input power for the Baldor/Reliance motors...

  18. Taming Wild Behavior: The Input Observer for Obtaining Text Entry and Mouse Pointing Measures from

    E-Print Network [OSTI]

    Wobbrock, Jacob O.

    Taming Wild Behavior: The Input Observer for Obtaining Text Entry and Mouse Pointing Measures from that can run quietly in the background of users' computers and measure their text entry and mouse pointing to segment text entry and mouse pointing input streams into "trials." We are the first to measure errors

  19. Physiological, performance, and subjective effects of eight computer input devices at a standing computer workstation 

    E-Print Network [OSTI]

    Steelquist, John Forrest

    1996-01-01

    This study compared eight non-keyboard input devices in conjunction with a standing fatigue study. The rapid growth in the use of graphical user interfaces (GUI's) has caused an increase in the use of nonkeyboard input devices. Further, the limited...

  20. Event Recognition using Qualitative Reasoning on Automatically Generated SpatioTemporal Models from Visual Input

    E-Print Network [OSTI]

    Leeds, University of

    from Visual Input J Fernyhough, A G Cohn and D C Hogg School of Computer Studies, University of Leeds, LS2 9JT, UK. agc@scs.leeds.ac.uk Abstract In this paper we describe an implemented tech­ nique input. Using an exist­ ing tracking program which generates labelled contours for objects in every frame

  1. Atmospheric nitrogen inputs and losses along an urbanization gradient from Boston to Harvard

    E-Print Network [OSTI]

    Templer, Pamela

    inorganic N inputs (R2 = 0.61, p = 0.01); on-road CO2 emissions correlated positively with NO3 2 inputs (R2 in reactive N emissions globally since industrialization (Galloway et al. 2003). By the year 2030, the world

  2. 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

  3. CHOOSING POLES SO THAT THE SINGLE-INPUT POLE PLACEMENT PROBLEM IS WELL CONDITIONED

    E-Print Network [OSTI]

    Xu, Hongguo

    CHOOSING POLES SO THAT THE SINGLE-INPUT POLE PLACEMENT PROBLEM IS WELL CONDITIONED VOLKER MEHRMANN, pp. 664­681, July 1998 004 Abstract. We discuss the single-input pole placement problem (SIPP) and analyze how the conditioning of the problem can be estimated and improved if the poles are allowed to vary

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

    E-Print Network [OSTI]

    Kaplon, J

    2015-01-01

    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.

  5. Information theory and climate prediction 

    E-Print Network [OSTI]

    Leung, Lai-yung

    1988-01-01

    obtained from more sophisticated model. It is amazing that the complicated climate system can be described by such simple energy balance concept. The assumption of homogeneous noise over the sphere is for convenient of calculation and interpretation... in climate prediction study will be demonstrated by using a simple stochastic climate model. Its interpretations and usefulness especially when generalized to other climate models will be discussed and suggestions for using these concepts of information...

  6. 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.

    1994-05-01

    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.

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

    E-Print Network [OSTI]

    Chris Fields

    2012-02-11

    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.

  8. 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

    2014-09-23

    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.

  9. Detailed Information on Proposal for US-Monbusho Collaoration

    E-Print Network [OSTI]

    California at Los Angeles, University of

    Detailed Information on Proposal for UNICEX-Hi US-Monbusho Collaoration Thermal smaller void fraction ??) 3. Provide fundamental scientific and engineering input to the design of irradiation experiments - material temperature range ­ material form - basic material property changes without

  10. April 3-4, 2007/ARR Engineering Input to System Code and

    E-Print Network [OSTI]

    Raffray, A. René

    , coupling to power cycle, etc...) · Input configurations already developed as part of ARIES (recent studies refractory) Coolant temperature and power cycle efficiency (UCSD/GIT?) #12;April 3-4, 2007/ARR 6 Impact

  11. Analysis and design of linearised single-input extremum control systems 

    E-Print Network [OSTI]

    Shering, George Craig

    1966-01-01

    Certain single input, linearised extremum controllers of the empirical type described in the literature have been designed and their performances have been compared to that of an approximately optimal controller. The ...

  12. 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 ...

  13. DOE Seeks Further Public Input on How Best To Streamline Existing...

    Energy Savers [EERE]

    on How Best To Streamline Existing Regulations DOE Seeks Further Public Input on How Best To Streamline Existing Regulations December 7, 2011 - 12:34pm Addthis The Department...

  14. 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

  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.

    2013-01-01

    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. 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

  17. 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...

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

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

    Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks PLATFORM: Version(s): 4.3.0 through 4.3.5 ABSTRACT: A vulnerability was reported in Splunk Web. REFERENCE...

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

    E-Print Network [OSTI]

    Park, Pil Ja

    2002-01-01

    This thesis focuses on the use of chemicals for pest control in Korean cucumber production. The empirical issue addressed is whether estimating crop production functions consistent with the economic theory of damage control inputs makes significant...

  20. 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.

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

    E-Print Network [OSTI]

    Corson, James

    2011-08-08

    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...

  2. U-255: Apache Wicket Input Validation Flaw Permits Cross-Site...

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

    Wicket Input Validation Flaw Permits Cross-Site Scripting Attacks PLATFORM: Apache Software Foundation Apache Wicket 1.5.5 Apache Software Foundation Apache Wicket 1.5-RC5.1...

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

    E-Print Network [OSTI]

    Huang, Sonya (Sonya Y.)

    2013-01-01

    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 ...

  4. Structural assessment approach (SAA) input package. Volume 3: User's Manual (physical security)

    SciTech Connect (OSTI)

    Orvis, W.J.

    1981-06-01

    The operation and use of the Structured Assessment Approach (SAA) Input Package programming written for a Tektronix 4050 Series Computer is described. The programming consists of the Facility Description Program (described in this volume) and its continuation, the Accounting System Program (planned), plus several service routines. These programs generate the input files that are used by the SAA codes in a mainframe computer, such as the CDC 7600 at the Lawrence Livermore National Laboratory.

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

    E-Print Network [OSTI]

    Adams, Benjamin Michael

    1975-01-01

    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...

  6. 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 ...

  7. GEOSTATISTICS AND GEOGRAPHIC INFORMATION SYSTEMS IN APPLIED INSECT ECOLOGY

    E-Print Network [OSTI]

    Liebhold, Andrew

    GEOSTATISTICS AND GEOGRAPHIC INFORMATION SYSTEMS IN APPLIED INSECT ECOLOGY Andrew M. Liebhold USDA INTRODUCTION GEOGRAPHIC INFORMATION SYSTEMS (GIS) Storage And Retrieval Data Input Spatial Manipulations Data: (a) geographical information systems (GIS) and (b) geostatistics. A GIS is a set of computer programs

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

    E-Print Network [OSTI]

    Wunsch, Carl

    On the Variability of Wind Power Input to the Oceans with a Focus on the Subpolar North Atlantic of power inputs from winds and buoyancy exchange is complex in part because it depends upon knowing a great determined mainly by the wind field itself. The input of buoyancy- derived power has been generally regarded

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

    E-Print Network [OSTI]

    Estimates of wind energy input to the Ekman layer in the Southern Ocean from surface drifter data the contribution from the anticyclonic frequencies dominate the wind energy input. The latitudinal and seasonal variations of the wind energy input to the Ekman layer are closely related to the variations of the wind

  10. 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

  11. Cascade design of single input single output systems using H? and quantitative feedback theory methodologies 

    E-Print Network [OSTI]

    Lal, Mayank

    2005-02-17

    . The metal is then cut into slabs of appropriate size. The general assumption is that instabilities in the mold level cause surface defects on the cast metal. Mold level oscillations tend to stir up flux and foreign particles leading.... (December 2004) Mayank Lal, B.Tech., IIT Kharagpur Chair of Advisory Committee: Dr. Suhada Jayasuriya This thesis considers the design of cascaded SISO control systems using the H? and QFT methodologies. In the first part...

  12. ALARA input into the design of modifications at Philadelphia Electric Company

    SciTech Connect (OSTI)

    Robb, J.T.; Mallon, J.

    1988-01-01

    The engineering and research department of Philadelphia Electric Company (PECo) has recently instituted changes in the design process for major plant modifications at the company's nuclear units. These changes support the design engineer and allow for greater input of as-low-as-reasonably-achievable (ALARA) considerations in the design of modifications. At PECo the input of ALARA considerations in the design of modifications has always been a part of design practices as provided in engineering procedures. The need to establish a more formal framework for the input of ALARA criteria into the design of modifications was identified by the Institute of Nuclear Power Operations (INPO). In order to address the INPO concerns and in keeping with PECo's strong commitment to maintaining ALARA plant personnel radiation exposures, the engineering and research department has formalized a procedure to allow for an ALARA review of major plant modifications. A formal framework for the input of ALARA criteria aids the design engineer by clearly identifying systems or areas that generally represent the greatest ALARA concern.

  13. 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

  14. Online Processing of Multiple Inputs in a Sparsely-Connected Recurrent Neural Network

    E-Print Network [OSTI]

    Gerstner, Wulfram

    as Liquid State Machines (LSM, [1,2]) or echo state net- works [3]. They are good candidates to model ultra a link be- tween liquid state machines on the one side and the theory of sparsely-connected networks [4 the same results). With a weaker or a stronger input, the system reaches a phase of synchronous irregular

  15. 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

  16. ExperimentalVerification of Vibration Absorbers Combinedwith Input Shaping for Oscillatory Systems

    E-Print Network [OSTI]

    Singhose, William

    ExperimentalVerification of Vibration Absorbers Combinedwith Input Shaping for Oscillatory Systems of Technology Atlanta, GA 30332 ABSTRACT Systems that exhibit flexible dynamics are susceptible to vibration choice to deal with these vibrations, but in many cases, it is insufficient or difficult to implement

  17. Different response of clouds to solar input Mirela Voiculescu,1,2

    E-Print Network [OSTI]

    Usoskin, Ilya G.

    influence on cloud cover is not uniquely defined by one solar driver, but both seem to play a role dependingDifferent response of clouds to solar input Mirela Voiculescu,1,2 Ilya G. Usoskin,3 and Kalevi November 2006. [1] There is evidence that solar activity variations can affect the cloud cover at Earth

  18. RESEARCH ARTICLE A seasonal cycle of terrestrial inputs in Lake Van, Turkey

    E-Print Network [OSTI]

    Gilli, Adrian

    RESEARCH ARTICLE A seasonal cycle of terrestrial inputs in Lake Van, Turkey C. Huguet & S. Fietz Van in Turkey is the world's largest soda lake (607 km3 ). The lake's catchment area is estimated the environmental status of a lake today and in the recent history. Lake Van in Eastern Anatolia (Turkey

  19. Frame-Scheduling for Input-Queued Switches with Energy Reconfiguration Costs

    E-Print Network [OSTI]

    Frame-Scheduling for Input-Queued Switches with Energy Reconfiguration Costs Andrea Bianco, Paolo problems, mainly due to thermal issues that require complex cooling systems and to increasing energy costs scheduler determines a switching fabric configuration to transfer packets. We consider the energy

  20. Galen Sasaki University of Hawaii 1 Input/Output (I/O, IO Notes)

    E-Print Network [OSTI]

    Sasaki, Galen H.

    Galen Sasaki University of Hawaii 1 Input/Output (I/O, IO Notes) · What is I/O? · Waiting Loop detector ­ Application: Time sharing Galen Sasaki University of Hawaii 2 I/O Computer Keyboard Disk Drive Network Interface Computer Screen I/O Interface #12;Galen Sasaki University of Hawaii 3 I/O CPU Main

  1. Galen Sasaki University of Hawaii 1 Input/Output (I/O)

    E-Print Network [OSTI]

    Sasaki, Galen H.

    1 Galen Sasaki University of Hawaii 1 Input/Output (I/O) · What is I/O? · Waiting Loop · Exceptions sharing Galen Sasaki University of Hawaii 2 I/O Computer Keyboard Disk Drive Network Interface Computer Screen I/O Interface Galen Sasaki University of Hawaii 3 I/O CPU Main Memory I/O "Effective Memory

  2. Convergence Analysis of the LMS Algorithm with a General Error Nonlinearity and an IID Input

    E-Print Network [OSTI]

    Al-Naffouri, Tareq Y.

    Convergence Analysis of the LMS Algorithm with a General Error Nonlinearity and an IID Input Tareq. of Electrical Eng. Abstract The class of least mean square (LMS) algorithms employing a general error are entirely consis- tent with those of the LMS algorithm and several of its variants. The results also

  3. An Input-Output Analysis of Maine's Fisheries HUGH BRIGGS, RALPH TOWNSEND, and JAMES WILSON

    E-Print Network [OSTI]

    An Input-Output Analysis of Maine's Fisheries HUGH BRIGGS, RALPH TOWNSEND, and JAMES WILSON Lobster traps at Round Pond harbor in Maine. State of Maine Development Office photograph. Introduction Since experienced a substantial revitaliza- tion. Maine, perhaps even more than the rest of New England, has rapidly

  4. Radio-frequency inverters with transmission-line input networks Joshua W. Phinney

    E-Print Network [OSTI]

    Perreault, Dave

    Radio-frequency inverters with transmission-line input networks Joshua W. Phinney Exponent, Inc 02139 Abstract-- A soft-switching inverter topology (the Class ) is presented which draws dc source of the transmission- line dynamics results in natural square-wave operation of the switch, reducing the inverter

  5. HUMAN FACTORS AND LINGUISTIC CONSIDERATIONS: KEYS TO HIGH-SPEED CHINESE CHARACTER INPUT

    E-Print Network [OSTI]

    , namely, a commercial Chinese typist with junior middle school education who would regularly be typing. Introduction For Chinese character input to computers, a Cornell research team has approached the problem from on Wang Yun-yu's four-corner numbering system has best demonstrat- ed, in the opinion of the Cornell team

  6. 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

  7. Asymptotic reconstruction of the Fourier expansion of inputs of linear time-varying

    E-Print Network [OSTI]

    along with several examples from the automotive engine industry, and with an oscillating water column retrieving wave energy. Keywords: Observers, Linear Time-Varying systems, Periodic input signals, Automotive automotive engine applications. In this domain of engineering, this periodicity stems from a fundamental

  8. PWM CONVERTERS WITH RESISTIVE INPUT Sam Ben-Yaakov and llya Zeltser

    E-Print Network [OSTI]

    and small signal responses of a Boost converter applied in APFC application. To make the input resistive be described by a simple intuitive reasoning in relation to the Boost converter (Fig. la). It is assumedthat (b) Fig. I. The Boost converter (a) and its behavioral average model (b) (after [7,8]). #12;ill

  9. 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.

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

    E-Print Network [OSTI]

    Gillespie, Charles Wayne

    1993-01-01

    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...

  11. Multi-input multi-output (MIMO) detection by a colony of ants 

    E-Print Network [OSTI]

    Jaber, Dana N.

    2009-06-02

    the channel's spectral efficiency. To exploit the benefits offered by Multi-Input Multi-Output (MIMO) systems, both the transmitter and the receiver have to be optimally designed. In this thesis, we are concerned with the problem of receiver design for MIMO...

  12. 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/Output-Controllers for in situ and automatic function control of solar thermal systems that were developed within the research project have been installed in 12 systems. After five years seven solar thermal systems benefited from

  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. University of Alberta METHODOLOGIES FOR MANY-INPUT FEEDBACK-DIRECTED

    E-Print Network [OSTI]

    Amaral, José Nelson

    University of Alberta METHODOLOGIES FOR MANY-INPUT FEEDBACK-DIRECTED OPTIMIZATION by Paul Berube Edmonton, Alberta Permission is hereby granted to the University of Alberta Libraries to reproduce single, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other

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

    E-Print Network [OSTI]

    RISØ-M-2256 INPUT DESCRIPTION FOR THE THREE-DIMENSIONAL PWR TRANSIENT CODE ANTI E. Falcon Nielsen A calculations for the PWR core. It combines a nodal theory neutron kinetics calculation with transient sub, PWR TYPE REACTORS, REACTOR KINETICS, THREE-DIMENSIONAL CALCULATIONS, TRANSIENTS. UDC 621.039.514 : 621

  17. TheLM3900ANewCurrent-DifferencingQuadofgInputAmplifiersAN-72 National Semiconductor

    E-Print Network [OSTI]

    Lanterman, Aaron

    TL H 7383 TheLM3900ANewCurrent-DifferencingQuadofgInputAmplifiersAN-72 National Semiconductor of these circuits are simply ``re-biased'' versions of conventional handbook circuits but many are new approaches Current Sink 10 1 4 A Voltage Variable Current Sink C1995 National Semiconductor Corporation RRD-B30M115

  18. 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

  19. Assessment of Proportional-Integral Control Loop Performance for Input Load Disturbance Rejection

    E-Print Network [OSTI]

    Wang, Jiandong

    Assessment of Proportional-Integral Control Loop Performance for Input Load Disturbance Rejection: This paper studies the performance assessment of proportional-integral (PI) control loops in terms and to demonstrate the effectiveness of the proposed performance index. 1. INTRODUCTION Proportional

  20. Mud budget imbalance in the Taiwan Strait receiving high input of fluvial sediments from mountainous rivers

    E-Print Network [OSTI]

    Lin, Andrew Tien-Shun

    #12;1 Mud budget imbalance in the Taiwan Strait receiving high input of fluvial sediments from for Environmental Change, Academia Sinica, Taipei, Taiwan 2 Institute of Hydrological Sciences, National Central University, Jungli, Taoyuan, Taiwan 3 School of Marine Science, College of William and Mary, Gloucester Pt

  1. History of Asian eolian input to the West Philippine Sea over the last one million years

    E-Print Network [OSTI]

    Clift, Peter

    History of Asian eolian input to the West Philippine Sea over the last one million years Shiming East Asian monsoon Clay minerals Glacial­interglacial West Philippine Sea International Marine Past the International Marine Past Global Change (IMAGES) Core MD06-3050 from the West Philippine Sea in order to trace

  2. BNL/MERIT Analysis Report Introduction and Input Page #1 MIT Plasma Science and Fusion Center

    E-Print Network [OSTI]

    McDonald, Kirk

    .3 Vessel Simulation Model Results 10.4 Cryostat Bolting Calculations 10.4.5 Cooldown Displacements 10.5 Vacuum Jacket 11.0 Vacuum Boundary Support 11.1 G-10 Support Rings 11.2 Vacuum Jacket Linear Elastic calculations Instrumentation 16.0 #12;BNL/MERIT Analysis Report ­ Introduction and Input ­Page #3 Support Frame

  3. 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

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

    E-Print Network [OSTI]

    Li, Yu, 1976-

    2004-01-01

    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 ...

  5. 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

  6. Nonlinear Tracking Control for Nonholonomic Mobile Robots with Input Constraints: An Experimental Study

    E-Print Network [OSTI]

    Ren, Wei

    Nonlinear Tracking Control for Nonholonomic Mobile Robots with Input Constraints: An Experimental Study Wei Ren, Ji-Sang Sun, Randal W. Beard, Timothy W. McLain Abstract-- This paper presents experimental results of nonlinear trajectory tracking controllers for nonholonomic mobile robots with fixed

  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. 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

  9. with input from Rich Zollinger, NDSU Weed Science Herbicides to Complement Glyphosate

    E-Print Network [OSTI]

    Minnesota, University of

    with input from Rich Zollinger, NDSU Weed Science Herbicides to Complement Glyphosate Common Giant the herbicide binds to control a plant Note: strengths and weakness and PRO's and CON's of PRE's such as crop injury potential under cool/wet conditions Note: problems with timing, crop injury potential, and vol

  10. Shared inputs, entrainment, and desynchrony in elliptic bursters: from slow passage to discontinuous circle maps

    E-Print Network [OSTI]

    Guillaume Lajoie; Eric Shea-Brown

    2011-05-24

    What input signals will lead to synchrony vs. desynchrony in a group of biological oscillators? This question connects with both classical dynamical systems analyses of entrainment and phase locking and with emerging studies of stimulation patterns for controlling neural network activity. Here, we focus on the response of a population of uncoupled, elliptically bursting neurons to a common pulsatile input. We extend a phase reduction from the literature to capture inputs of varied strength, leading to a circle map with discontinuities of various orders. In a combined analytical and numerical approach, we apply our results to both a normal form model for elliptic bursting and to a biophysically-based neuron model from the basal ganglia. We find that, depending on the period and amplitude of inputs, the response can either appear chaotic (with provably positive Lyaponov exponent for the associated circle maps), or periodic with a broad range of phase-locked periods. Throughout, we discuss the critical underlying mechanisms, including slow-passage effects through Hopf bifurcation, the role and origin of discontinuities, and the impact of noise

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

    E-Print Network [OSTI]

    Magnetized Target Fusion: Input to the 35-yr Fusion Long-Range Electric Plan G. A. Wurden Fusion to the 35-yr Fusion Long-Range Electric Plan · Imagine a fusion concept where: · The plasma beta ranges from to the 35-yr Fusion Long-Range Electric Plan · MTF offers a uniquely different pathway to achieving

  12. Using Economic Input/Output Tables to Predict a Country’s Nuclear Status

    SciTech Connect (OSTI)

    Weimar, Mark R.; Daly, Don S.; Wood, Thomas W.

    2010-07-15

    Both nuclear power and nuclear weapons programs should have (related) economic signatures which are detectible at some scale. We evaluated this premise in a series of studies using national economic input/output (IO) data. Statistical discrimination models using economic IO tables predict with a high probability whether a country with an unknown predilection for nuclear weapons proliferation is in fact engaged in nuclear power development or nuclear weapons proliferation. We analyzed 93 IO tables, spanning the years 1993 to 2005 for 37 countries that are either members or associates of the Organization for Economic Cooperation and Development (OECD). The 2009 OECD input/output tables featured 48 industrial sectors based on International Standard Industrial Classification (ISIC) Revision 3, and described the respective economies in current country-of-origin valued currency. We converted and transformed these reported values to US 2005 dollars using appropriate exchange rates and implicit price deflators, and addressed discrepancies in reported industrial sectors across tables. We then classified countries with Random Forest using either the adjusted or industry-normalized values. Random Forest, a classification tree technique, separates and categorizes countries using a very small, select subset of the 2304 individual cells in the IO table. A nation’s efforts in nuclear power, be it for electricity or nuclear weapons, are an enterprise with a large economic footprint -- an effort so large that it should discernibly perturb coarse country-level economics data such as that found in yearly input-output economic tables. The neoclassical economic input-output model describes a country’s or region’s economy in terms of the requirements of industries to produce the current level of economic output. An IO table row shows the distribution of an industry’s output to the industrial sectors while a table column shows the input required of each industrial sector by a given industry.

  13. 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

  14. Information Cartography 1 Information Cartography

    E-Print Network [OSTI]

    Old, L. John

    Information Cartography 1 Information Cartography · The use of Geographic Information Systems (GIS) to visualize non- geographic data · Utilizes Geographic Information Science to develop models and organize information--not an art form · Used to build information maps. Information maps consist of a landscape (base

  15. 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

  16. Elements of Information Theory for Networked Control Systems

    E-Print Network [OSTI]

    Franceschetti, Massimo

    Chapter 1 Elements of Information Theory for Networked Control Systems Massimo Franceschetti. This challenges the standard assumption of classical control theory that communication can be per- formed and control theories and can be written in various forms. These are illustrated in Sect. 1.4, along

  17. IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. ?, NO. ?, MONTH 2005 1 Mutual Information and Minimum Mean-square

    E-Print Network [OSTI]

    Guo, Dongning

    ) with respect to the signal-to-noise ratio (SNR) is equal to half the MMSE, regardless of the input statistics statistics: d dsnr I(snr) = 1 2 mmse(snr). (1) Simple as it is, the identity (1) was unknown before this work-output mutual information is an indicator of how much coded information can be pumped through a channel reliably

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

    DOE Patents [OSTI]

    Hammerstrom, Donald J.

    2013-10-15

    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.

  19. Steering and focusing effects in TESLA cavity due to high order mode and input couplers

    SciTech Connect (OSTI)

    Piot, P.; /Fermilab; Dohlus, M.; Flottmann, K.; Marx, M.; Wipf, S.G.; /DESY

    2005-05-01

    Many state-of-art electron accelerator proposals incorporate TESLA-type superconducting radio-frequency (rf) cavities [1]. These standing wave rf cavities include rf input couplers and a pair of high order mode (HOM) couplers to absorb the energy associated to HOM field excited as the bunch passes through the cavity. In the present paper we investigate, using numerical simulations, the impact of the input and HOM couplers on the beam dynamics to zeroth and first order in initial position, and present parametric studies of the strength of these effects for various incoming beam energies. We finally study the impact of this asymmetric field on the beam dynamics, taking as an example the low energy section of the X-ray FEL injector.

  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

    2008-09-01

    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. Input/Output of ab-initio nuclear structure calculations for improved performance and portability

    SciTech Connect (OSTI)

    Laghave, Nikhil

    2010-12-15

    Many modern scientific applications rely on highly computation intensive calculations. However, most applications do not concentrate as much on the role that input/output operations can play for improved performance and portability. Parallelizing input/output operations of large files can significantly improve the performance of parallel applications where sequential I/O is a bottleneck. A proper choice of I/O library also offers a scope for making input/output operations portable across different architectures. Thus, use of parallel I/O libraries for organizing I/O of large data files offers great scope in improving performance and portability of applications. In particular, sequential I/O has been identified as a bottleneck for the highly scalable MFDn (Many Fermion Dynamics for nuclear structure) code performing ab-initio nuclear structure calculations. We develop interfaces and parallel I/O procedures to use a well-known parallel I/O library in MFDn. As a result, we gain efficient I/O of large datasets along with their portability and ease of use in the down-stream processing. Even situations where the amount of data to be written is not huge, proper use of input/output operations can boost the performance of scientific applications. Application checkpointing offers enormous performance improvement and flexibility by doing a negligible amount of I/O to disk. Checkpointing saves and resumes application state in such a manner that in most cases the application is unaware that there has been an interruption to its execution. This helps in saving large amount of work that has been previously done and continue application execution. This small amount of I/O provides substantial time saving by offering restart/resume capability to applications. The need for checkpointing in optimization code NEWUOA has been identified and checkpoint/restart capability has been implemented in NEWUOA by using simple file I/O.

  2. 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

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

    E-Print Network [OSTI]

    Thomas, David D.

    Elevated CO2 stimulates grassland soil respiration by increasing carbon inputs rather than by enhancing soil moisture E . C A R O L A D A I R * § , P E T E R B . R E I C H , J A R E D J . T R O It is not clear whether the consistent positive effect of elevated CO2 on soil respiration (soil carbon flux, SCF

  4. 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

    2011-10-27

    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.

  5. Significance of microbial asynchronous anabolism to soil carbon dynamics driven by litter inputs

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

    Fan, Zhaosheng; Liang, Chao

    2015-04-02

    Soil organic carbon (SOC) plays an important role in the global carbon cycle. However, it remains largely unknown how plant litter inputs impact magnitude, composition and source configuration of the SOC stocks over long term through microbial catabolism and anabolism, mostly due to uncoupled research on litter decomposition and SOC formation. This limits our ability to predict soil system responses to changes in land-use and climate. Here, we examine how microbes act as a valve controlling carbon sequestrated from plant litters versus released to the atmosphere in natural ecosystems amended with plant litters varying in quantity and quality. We findmore »that litter quality – not quantity – regulates long-term SOC dynamics under different plausible scenarios. Long-term changes in bulk SOC stock occur only when the quality of carbon inputs causes asynchronous change in a microbial physiological trait, defined as ‘‘microbial biosynthesis acceleration’’ (MBA). This is the first theoretical demonstration that the response of the SOC stocks to litter inputs is critically determined by the microbial physiology. Our work suggests that total SOC at an equilibrium state may be an intrinsic property of a given ecosystem, which ultimately is controlled by the asynchronous MBA between microbial functional groups.« less

  6. Coronal energy input and dissipation in a solar active region 3D MHD model

    E-Print Network [OSTI]

    Bourdin, Philippe-A; Peter, Hardi

    2015-01-01

    Context. We have conducted a 3D MHD simulation of the solar corona above an active region in full scale and high resolution, which shows coronal loops, and plasma flows within them, similar to observations. Aims. We want to find the connection between the photospheric energy input by field-line braiding with the coronal energy conversion by Ohmic dissipation of induced currents. Methods. To this end we compare the coronal energy input and dissipation within our simulation domain above different fields of view, e.g. for a small loops system in the active region (AR) core. We also choose an ensemble of field lines to compare, e.g., the magnetic energy input to the heating per particle along these field lines. Results. We find an enhanced Ohmic dissipation of currents in the corona above areas that also have enhanced upwards-directed Poynting flux. These regions coincide with the regions where hot coronal loops within the AR core are observed. The coronal density plays a role in estimating the coronal temperatur...

  7. Generation of correlated spike trains -modulated at theta rhythm. Correlated input spike trains generated using sequence of simple integrate and fire encoders driven by independent

    E-Print Network [OSTI]

    Halliday, David

    Generation of correlated spike trains - modulated at theta rhythm. Correlated input spike trains NOT effective at modulating output. 2. Correlated spike trains CAN modulate output discharge. Does not appear of Simulations - Periodically modulated: Uncorrelated and Correlated inputs. Uncorrelated Inputs: Common inputs

  8. Fusion of range and visual data for the extraction of scene structure information Haris Baltzakis

    E-Print Network [OSTI]

    Trahanias, Panos

    Fusion of range and visual data for the extraction of scene structure information Haris Baltzakis data is proposed. Data fusion is achieved by validating assumptions formed according to 2D range scans measurements in large angular fields and at very fast rates. The acquired range information is compact enough

  9. Quality assurance with the ISFH-Input/Output-Procedure 6-year-experience with 14 solar thermal systems

    E-Print Network [OSTI]

    the confidence in solar thermal energy. The so called Input/Output-Procedure is controlling the solar heatQuality assurance with the ISFH-Input/Output-Procedure 6-year-experience with 14 solar thermal of standard solar thermal systems usually don't recognise failures affecting the solar yield, because

  10. 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

  11. Proceedings of Sino-Swedish Structural Materials Symposium 2007 Effect of Welding Heat Input on Simulated HAZ

    E-Print Network [OSTI]

    Hong, Soon Hyung

    Proceedings of Sino-Swedish Structural Materials Symposium 2007 Effect of Welding Heat Input Institute, Beijing 100081,China) Abstract: This study investigates the correlation among the welding heat that a relatively low energy input is recommended for welding of low carbon V-N microalloyed steel, according

  12. Output Feedback Stabilization of Linear PDEs with Finite Dimensional Input-Output Maps and Kelvin-Voigt Damping

    E-Print Network [OSTI]

    Chung, Soon-Jo

    Output Feedback Stabilization of Linear PDEs with Finite Dimensional Input-Output Maps and Kelvin with respect to x. The finite dimensional input-output (FDIO) map makes it tempting to design an output of Technology Bombay, Mumbai, India. Member, IEEE. paranjape@aero.iitb.ac.in. Soon-Jo Chung

  13. 96 IEEE POWER ELECTRONICS LETTERS, VOL. 2, NO. 3, SEPTEMBER 2004 Low-Input-Voltage, Low-Power Boost

    E-Print Network [OSTI]

    Chapman, Patrick

    to connect varying voltage to the fixed voltage load with high efficiency. Individual fuel cells naturally are investigated when a low input voltage is used. Low- input-voltage sources include single fuel cells, single solar cells, and thermoelectric devices. The primary context is interfacing single micro fuel cells

  14. On the RadioFrequency Inputs in Dipolar Heating of Adhesives \\Lambda Center for Research in Scientific Computation

    E-Print Network [OSTI]

    computational challenge is to model and predict the heating of adhesives so that precise control algorithms canOn the Radio­Frequency Inputs in Dipolar Heating of Adhesives \\Lambda H.T. Banks Center­frequency (RF) or dielectric input expression in the heat equation which arises in the modeling of the curing

  15. 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

  16. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-ThroughputUpcomingmagnetoresistanceand Governmentm D m r e D m .8)&JD(N,8)Future

  17. FINANCIAL INFORMATION 45 Information

    E-Print Network [OSTI]

    Xie,Jiang (Linda)

    for Tuition Purposes. Copies of the Manual are available for inspection in the Library and the Residency twelve (12) months immediately prior to classification as a resident for tuition purposes. In order meets their needs. Payment plan options and additional information can be found at http

  18. Supporting Information All analytical expressions were obtained starting from Equation 3, the tQSSA approximation

    E-Print Network [OSTI]

    Mirny, Leonid

    information. All numerical analysis was done in Matlab, starting from the full MAK description of the cycle equations for the given inputs using the ODE23s Matlab function. Finally, the data in Figure 6 was obtained

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

    SciTech Connect (OSTI)

    HCTT CHE

    2009-12-16

    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.

  20. 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.

  1. SMART METER PRIVACY USING A RECHARGEABLE BATTERY: MINIMIZING THE RATE OF INFORMATION LEAKAGE

    E-Print Network [OSTI]

    Khisti, Ashish

    -in electric vehicle) [8]. The setup in Fig. 1 shows the flow of information left-to-right. The battery's input Fellowship. Battery Utility Company Appliances X Y Information Flow Power Flow Fig. 1. Charging and discharging the battery with power flows can partially decouple the information flows X and Y . X

  2. Westinghouse Owners Group Risk-Informed Regulation Efforts: Options 2 and 3

    SciTech Connect (OSTI)

    Brown, Jason A.; Osterrieder, Robert A.; Lutz, Robert J. [Westinghouse Electric Company LLC (United States); Dingler, Maurice [Wolf Creek Nuclear Operating Company, Burlington, KS (United States); Ward, Lewis A. [Southern Nuclear Company (United States)

    2002-07-01

    The U.S. Nuclear Regulatory Commission (NRC) has initiated efforts to incorporate risk-informed methods to redefine the scope of the existing 10 CFR 50 regulations (Option 2) and to change the technical requirements of the regulations (Option 3). The overall objectives of these efforts are to enhance plant safety, provide a framework for risk-informed regulations, add flexibility to plant operations, and reduce regulatory burden. The Westinghouse Owners Group (WOG) has a variety of active programs in the risk-informed area, including a program in the Option 2 and Option 3 areas. These two programs will be summarized including the benefits and the technical approach. The purpose of Option 2 is to make changes to the overall scope of structures, systems and components (SSCs) covered by 10 CFR 50 requiring special treatment by formulating new risk-informed safety classification categories that are linked to current definitions of safety-related and important-to-safety. This initiative would permit possible changes to the current special treatment requirements based on risk insights. The Nuclear Energy Institute (NEI) has developed an Option 2 implementation guideline (NEI 00-04 Draft Revision B). The WOG has initiated a program to validate the NEI guideline and to provide an initial cost-benefit assessment of the revised categorization and treatment under Option 2 via trial application to two systems at both Surry Unit 1 and Wolf Creek. The WOG Option 2 program includes consideration of all of the components in the selected systems, regardless of whether or not they are modeled in the respective plant probabilistic risk assessment (PRA) studies. As a result, quantitative risk measures are not available for many of the components being considered. In this case, the WOG program will provide valuable input to the NEI guideline. Additionally, the WOG program extends the use of both of the dominant methodologies for risk-informed ISI (RI-ISI) to address repair and replacement activities of pressure-retaining items per Code Cases under development within ASME. Therefore, feedback is provided on the consideration of passive components for extending both the WOG and Electric Power Research Institute (EPRI) RI-ISI methodologies for piping to all pressure-retaining items. In the Option 3 area, the WOG Large Break Loss-of-Coolant Accident (LBLOCA) Redefinition program is a risk-informed approach to improve select regulations (10 CFR 50.46, Appendix A, and Appendix K) such that the plant licensing basis is focused on LOCA break sizes up to a new maximum size. The new maximum break size will replace the existing requirement to consider break sizes up to and including double ended breaks of the largest primary system piping. Plants will retain the capability to mitigate a break of the largest primary system piping as evaluated using realistic success criteria and assumptions. The WOG is also providing input to the development of a risk-informed 10 CFR 50.44 based on insights from the WOG Severe Accident Management Guidance and plant-specific PRA studies. (authors)

  3. A multiple-input memory-to-magnetic tape data coupler 

    E-Print Network [OSTI]

    Wilkins, Wilford Wayne

    1962-01-01

    Courier input contr~1 57 First wor' Xu. ip Tame control and busy ;ignel generation 11 Memory and clock data selection 60 Address advance pulse generation and routing Clamp and reset supplies and manual and auto, ". etic reset 62 14 Test reed... controls 15 Test pulse generator and pulse selector 16 Time relation of mayor pulscs 17 Symbol for a trigger 71 1S Symbol for cathode follower 71 List oi Figures (Continued) Figure Number Page 19 Symbol for a positive diode "or" circuit 72 20 Symbol...

  4. RELAP5/MOD3 code manual: User`s guide and input requirements. Volume 2

    SciTech Connect (OSTI)

    1995-08-01

    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.

  5. Table A10. 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 on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7CubicthroughtheSeptember 24, 20145,137 4,9743 January0. Total Inputs

  6. Microsoft PowerPoint - OTT RFI Summary of Input_Public_Oct 2015

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy AEnergy Managing Swimming PoolCommercialEnergy MicrosoftDoseInput Request

  7. 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; Belles, Randy; Blevins, Brandon R; Hadley, Stanton W; Harrison, Thomas J; Jochem, Warren C; Neish, Bradley S; Omitaomu, Olufemi A; Rose, Amy N

    2012-05-01

    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.

  8. Adaptive optimization of a lead compensator based upon input command frequency during operations of X-Y positioning table 

    E-Print Network [OSTI]

    Jordan, Eric Alan

    1997-01-01

    The premise for this research is a desire to improve the performance of systems that have complex command inputs. For such systems, a fixed controller may not provide the necessary means to optimize the system's performance. To remedy this problem...

  9. 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 ...

  10. HEAT INPUT AND POST WELD HEAT TREATMENT EFFECTS ON REDUCED-ACTIVATION FERRITIC/MARTENSITIC STEEL FRICTION STIR WELDS

    SciTech Connect (OSTI)

    Tang, Wei; Chen, Gaoqiang; Chen, Jian; Yu, Xinghua; Frederick, David Alan; Feng, Zhili

    2015-01-01

    Reduced-activation ferritic/martensitic (RAFM) steels are an important class of structural materials for fusion reactor internals developed in recent years because of their improved irradiation resistance. However, they can suffer from welding induced property degradations. In this paper, a solid phase joining technology friction stir welding (FSW) was adopted to join a RAFM steel Eurofer 97 and different FSW parameters/heat input were chosen to produce welds. FSW response parameters, joint microstructures and microhardness were investigated to reveal relationships among welding heat input, weld structure characterization and mechanical properties. In general, FSW heat input results in high hardness inside the stir zone mostly due to a martensitic transformation. It is possible to produce friction stir welds similar to but not with exactly the same base metal hardness when using low power input because of other hardening mechanisms. Further, post weld heat treatment (PWHT) is a very effective way to reduce FSW stir zone hardness values.

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

    E-Print Network [OSTI]

    Sakellariou, Rizos

    Institute of Computing University of Campinas Av. Albert Einstein, 1251 Campinas, São Paulo, Brazil bit, UK rizos@cs.man.ac.uk Edmundo R. M. Madeira Institute of Computing University of Campinas Av. Albert information about duration of tasks and communication between tasks in the workflow. However, such information

  12. 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)

    1995-09-26

    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.

  13. 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.

  14. Artificial neural networks for input-output dynamic modeling of nonlinear processes 

    E-Print Network [OSTI]

    Sarimveis, Haralambos

    1992-01-01

    ARTIFICIAL NEURAL NETWORKS FOR INPUT-OUTPUT DYNAMIC MODELING OF NONLINEAR PROCESSES A Th& vis HARALA'&IBOS SARIlcIVEIS Snhnuttect to th&e Otftc& of Cire&11&nt&' Stll&heb of T& x?. Akrr I L'rrrrc& re& tv in pnrtinl frrlfilhrreut of the rc turr...&iveil as to style anel e&a&t& nt hy. 'liM 1 i'll&. hael Nil&a)sou (Chaii of Comuiitte& ) A Teil Watson (I&lenih&a ) Al& ~ii&)e& G. Parloa ( Ileiubei. ) Rayiinai&1 W. F'lumcifelt ( H& a&1 of Defa& it &neat ) A. u ust 10l1a ABSTRACT Artih& ial Neural...

  15. 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)

    2013-11-15

    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.

  16. Using Whole-House Field Tests to Empirically Derive Moisture Buffering Model Inputs

    SciTech Connect (OSTI)

    Woods, J.; Winkler, J.; Christensen, D.; Hancock, E.

    2014-08-01

    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.

  17. The University of Texas at Austin ITS Rate Change Policies Office of the Chief Information Officer Written By: David Bistline

    E-Print Network [OSTI]

    Patzek, Tadeusz W.

    The University of Texas at Austin ITS Rate Change Policies Office of the Chief Information Officer: Draft/Community Input/Endorsed/Approved 2 The University of Texas at Austin 1.1. Direct labor costs

  18. General Information

    National Nuclear Security Administration (NNSA)

    Site Waste Profile Sheet - Revision 0 - February 27, 2012 (Log No. 2012-048) A. Generator Information 1. Company name: ...

  19. Abstract-This paper addresses boost converter circuits that are built for very low input voltages, i.e. less than 1 V. Such circuits

    E-Print Network [OSTI]

    Kimball, Jonathan W.

    Abstract- This paper addresses boost converter circuits that are built for very low input voltages-VOLTAGE BOOST CONVERTER EFFICIENCY Efficiency of the basic power converter circuits such as buck, boost, etc input voltages. I. INTRODUCTION Power converters driven from low input voltage (

  20. Enriching Sustainable Transport Decisions: Inputs from Operations Research and the Management Sciences

    E-Print Network [OSTI]

    Wellar, Barry; Garrison, William

    2009-01-01

    CORS-INFORMS CONFERENCE 2009 Wellar and GarrisonMurray Turoff William Garrison Barry Wellar Barry WellarReview, 32, 5-38. Garrison, W. and J. Ward. 2000. Tomorrow’s

  1. Effect of heat input on the microstructure, residual stresses and corrosion resistance of 304L austenitic stainless steel weldments

    SciTech Connect (OSTI)

    Unnikrishnan, Rahul, E-mail: rahulunnikrishnannair@gmail.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India); Idury, K.S.N. Satish, E-mail: satishidury@gmail.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India); Ismail, T.P., E-mail: tpisma@gmail.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India); Bhadauria, Alok, E-mail: alokbhadauria1@gmail.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India); Shekhawat, S.K., E-mail: satishshekhawat@gmail.com [Department of Metallurgical Engineering and Materials Science, Indian Institute of Technology Bombay (IITB), Powai, Mumbai 400076, Maharashtra (India); Khatirkar, Rajesh K., E-mail: rajesh.khatirkar@gmail.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India); Sapate, Sanjay G., E-mail: sgsapate@yahoo.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India)

    2014-07-01

    Austenitic stainless steels are widely used in high performance pressure vessels, nuclear, chemical, process and medical industry due to their very good corrosion resistance and superior mechanical properties. However, austenitic stainless steels are prone to sensitization when subjected to higher temperatures (673 K to 1173 K) during the manufacturing process (e.g. welding) and/or certain applications (e.g. pressure vessels). During sensitization, chromium in the matrix precipitates out as carbides and intermetallic compounds (sigma, chi and Laves phases) decreasing the corrosion resistance and mechanical properties. In the present investigation, 304L austenitic stainless steel was subjected to different heat inputs by shielded metal arc welding process using a standard 308L electrode. The microstructural developments were characterized by using optical microscopy and electron backscattered diffraction, while the residual stresses were measured by X-ray diffraction using the sin{sup 2}? method. It was observed that even at the highest heat input, shielded metal arc welding process does not result in significant precipitation of carbides or intermetallic phases. The ferrite content and grain size increased with increase in heat input. The grain size variation in the fusion zone/heat affected zone was not effectively captured by optical microscopy. This study shows that electron backscattered diffraction is necessary to bring out changes in the grain size quantitatively in the fusion zone/heat affected zone as it can consider twin boundaries as a part of grain in the calculation of grain size. The residual stresses were compressive in nature for the lowest heat input, while they were tensile at the highest heat input near the weld bead. The significant feature of the welded region and the base metal was the presence of a very strong texture. The texture in the heat affected zone was almost random. - Highlights: • Effect of heat input on microstructure, residual stresses and corrosion is studied. • HAZ and width of dendrite in the welded region increase with heat input. • Residual stresses are tensile near the welded region after the highest heat input. • Welded region has the highest pit density after highest heat input. • Dendrites and ?-ferrite were highly oriented in the welded region.

  2. Mechanism of phase control in a klystron-like relativistic backward wave oscillator by an input signal

    SciTech Connect (OSTI)

    Xiao, Renzhen; Song, Zhimin; Deng, Yuqun; Chen, Changhua [Science and Technology on High Power Microwave Laboratory, Northwest Institute of Nuclear Technology, Xi'an 710024 (China)

    2014-09-15

    Theoretical analyses and particle-in-cell (PIC) simulations are carried out to understand the mechanism of microwave phase control realized by the external RF signal in a klystron-like relativistic backward wave oscillator (RBWO). Theoretical calculations show that a modulated electron beam can lead the microwave field with an arbitrary initial phase to the same equilibrium phase, which is determined by the phase factor of the modulated current, and the difference between them is fixed. Furthermore, PIC simulations demonstrate that the phase of input signal has a close relation to that of modulated current, which initiates the phase of the irregularly microwave during the build-up of oscillation. Since the microwave field is weak during the early time of starting oscillation, it is easy to be induced, and a small input signal is sufficient to control the phase of output microwave. For the klystron-like RBWO with two pre-modulation cavities and a reentrant input cavity, an input signal with 100?kW power and 4.21?GHz frequency can control the phase of 5?GW output microwave with relative phase difference less than 6% when the diode voltage is 760?kV, and beam current is 9.8?kA, corresponding to a power ratio of output microwave to input signal of 47?dB.

  3. 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

  4. 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

  5. On the Uncertainty of Information Retrieval in Associative Memories

    E-Print Network [OSTI]

    Yaakobi, Eitan

    Bruck Electrical Engineering Department, California Institute of Technology, Pasadena, CA 91125, U.S.A Electrical and Computer Engineering Department, University of California San Diego, La Jolla, CA 92093, U. From the information theory perspective, we say that the words associated with an input word x

  6. MUC-7 Information Extraction Task Definition Version 5.1

    E-Print Network [OSTI]

    as a fill one of a set of designated classes of weapons based on some categorization of the weapons that has, such as by deleting all but the person's surname. Another example could be a slot called WEAPON which requires meaning in the events of import such as GUN or BOMB in a terrorist event. The input to information

  7. 1 ACIT Meeting Notes Advisory Committee for Information Technology

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    1 ACIT Meeting Notes Advisory Committee for Information Technology Meeting Notes MEETING DATE: 1 by Jan. 31. Assistive Technology, Web Accessibility Update, Input [J. Phillips] ECommons and WCMS are currently under scrutiny for electronic accessibility. Assistive Technology Committee is looking at best

  8. Title: Ontario Wind Resources Information Ontario Ministry of Natural Resources

    E-Print Network [OSTI]

    Title: Ontario Wind Resources Information Data Creator / Copyright Owner: Ontario Ministry as an input to the Wind Resource Atlas, a web mapping application for helping users determine the feasibility of developing in wind power. This package contains GIS data that is displayed in the Wind Resource Atlas

  9. 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

    2011-03-02

    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.

  10. Development of a Novel Bi-Directional Isolated Multiple-Input DC-DC Converter

    SciTech Connect (OSTI)

    Li, H.

    2005-10-24

    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.

  11. 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.

    2013-08-24

    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.

  12. 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

    2008-08-21

    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.

  13. 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;

  14. Markets, herding and response to external information

    E-Print Network [OSTI]

    Carro, Adrián; Miguel, Maxi San

    2015-01-01

    We focus on the influence of external sources of information upon financial markets. In particular, we develop a stochastic agent-based market model characterized by a certain herding behavior as well as allowing traders to be influenced by an external dynamic signal of information. This signal can be interpreted as a time-varying advertising, public perception or rumor, in favor or against one of two possible trading behaviors, thus breaking the symmetry of the system and acting as a continuously varying exogenous shock. As an illustration, we use a well-known German Indicator of Economic Sentiment as information input and compare our results with Germany's leading stock market index, the DAX, in order to calibrate some of the model parameters. We study the conditions for the ensemble of agents to more accurately follow the information input signal. The response of the system to the external information is maximal for an intermediate range of values of a market parameter, suggesting the existence of three di...

  15. Information Science

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

    Information Science and Technology (ASIS&T) American Society for Indexing (ASI) Digital Library Federation (DLF) National Archives and Records Administration (NARA) Special...

  16. CPSC 601.xx: Information Systems Security Analysis Statement of Ethical Considerations

    E-Print Network [OSTI]

    Locasto, Michael E.

    permission and informed consent of the system's owner. Ethical Hacking Principles Hacking is, unfortunately misuse of the special skills they possess. Similarly, hacking is a special technological skill that can the term "hacking" to refer to the skill to question security and trust assumptions expressed in software

  17. A Linear Time Approximation Scheme for Maximum Quartet Consistency on Sparse Sampled Inputs

    E-Print Network [OSTI]

    Yuster, Raphael

    ab|c meaning that, in the underlying tree, the lowest common ancestor of a and b (lca(a, b)) is a descendant of lca(a, c) = lca(b, c). Given a set of rooted triplets, there exists a polynomial time algorithm setting, the notion of lca is meaningless and therefore the basic unit of information is a quartet tree

  18. Local input to state stability of production Sergey Dashkovskiy, Michael Grges, Lars Naujok

    E-Print Network [OSTI]

    Dashkovskiy, Sergey

    different perturbations due to changes on market, changes in customer behavior, information and transport and can be used for design, optimization and control of such networks and for deeper understanding logistic scenario comprising several autonomous production plants connected through transport routs

  19. ELECTRICAL & INFORMATION

    E-Print Network [OSTI]

    Wagner, Stephan

    of energy and smarter management of the system. These are called Smart Grids. A number of research projects in the creation of three overarching research thrusts: Energy, Information and Systems. All the activities Engineering Research Group has a number of current research interests. INFORMATION ENERGY SYSTEMS #12

  20. Evaluating the efficiency of municipalities in collecting and processing municipal solid waste: A shared input DEA-model

    SciTech Connect (OSTI)

    Rogge, Nicky; De Jaeger, Simon

    2012-10-15

    Highlights: Black-Right-Pointing-Pointer Complexity in local waste management calls for more in depth efficiency analysis. Black-Right-Pointing-Pointer Shared-input Data Envelopment Analysis can provide solution. Black-Right-Pointing-Pointer Considerable room for the Flemish municipalities to improve their cost efficiency. - Abstract: This paper proposed an adjusted 'shared-input' version of the popular efficiency measurement technique Data Envelopment Analysis (DEA) that enables evaluating municipality waste collection and processing performances in settings in which one input (waste costs) is shared among treatment efforts of multiple municipal solid waste fractions. The main advantage of this version of DEA is that it not only provides an estimate of the municipalities overall cost efficiency but also estimates of the municipalities' cost efficiency in the treatment of the different fractions of municipal solid waste (MSW). To illustrate the practical usefulness of the shared input DEA-model, we apply the model to data on 293 municipalities in Flanders, Belgium, for the year 2008.

  1. Proceedings of the Second Workshop on Advances in Text Input Methods (WTIM 2), pages 107114, COLING 2012, Mumbai, December 2012.

    E-Print Network [OSTI]

    ­114, COLING 2012, Mumbai, December 2012. Invited Talk: Quillpad Multilingual Predictive Transliteration System transliteration schemes for defining one to one mapping of input character combinations to output character combinations. Though such well defined mappings made it easier to write a transliteration program, the end user

  2. Proceedings of the Second Workshop on Advances in Text Input Methods (WTIM 2), pages 7378, COLING 2012, Mumbai, December 2012.

    E-Print Network [OSTI]

    2012, Mumbai, December 2012. Phonetic Bengali Input Method for Computer and Mobile Devices Khan Md using English alphabets. Due to this there are many ambiguities in mapping 50 Bengali letters using 26 output. They have used table-driven direct mapping techniques between the English alphabet and the Bangla

  3. Addressing Uncertainties in Design Inputs: A Case Study of Probabilistic Settlement Evaluations for Soft Zone Collapse at SWPF

    Broader source: Energy.gov [DOE]

    Addressing Uncertainties in Design Inputs: A Case Study of Probabilistic Settlement Evaluations for Soft Zone Collapse at SWPF Tom Houston, Greg Mertz, Carl Costantino, Michael Costantino, Andrew Maham Carl J. Costantino & Associates DOE NPH Conference Germantown, Maryland October 25-26 2011

  4. 96 IEEE POWER ELECTRONICS LETTERS, VOL. 2, NO. 3, SEPTEMBER 2004 Low-Input-Voltage, Low-Power Boost

    E-Print Network [OSTI]

    Kimball, Jonathan W.

    , and Patrick L. Chapman, Member, IEEE Abstract--Issues associated with boost converter design and per- formance issues for a low-cost design. It is shown in theory and experiment that the boost converter has a voltage for low-input-voltage, low-power boost converters is mainly driven by two issues. First, high demand

  5. Stimulus-locked responses on human arm muscles reveal a rapid neural pathway linking visual input to arm motor

    E-Print Network [OSTI]

    Flanagan, Randy

    Stimulus-locked responses on human arm muscles reveal a rapid neural pathway linking visual input to arm motor output J. Andrew Pruszynski,1 * Geoffrey L. King,1 * Lysa Boisse,1,2 Stephen H. Scott,1-reticulo-spinal pathway Abstract Previous studies have demonstrated that humans are sometimes capable of initiating arm

  6. Algorithm 1: Key Word Identification Hybrid DIAAF/RS Input:(a) A documentbase (the training part, where the

    E-Print Network [OSTI]

    Coenen, Frans

    ; #12; Algorithm 1: Key Word Identification Hybrid DIAAF/RS Input:(a) A documentbase (the training part, where the noise words have been removed); (b words SKW ; Begin Algorithm: (1) SKW an empty set for holding the identified key words in ; (2) C

  7. Geochemical evidence for African dust inputs to soils of western Atlantic islands: Barbados, the Bahamas, and Florida

    E-Print Network [OSTI]

    Prospero, Joseph M.

    Geochemical evidence for African dust inputs to soils of western Atlantic islands: Barbados of Barbados, the Florida Keys, and the Bahamas. Potential soil parent materials in this region, external to the carbonate substrate, include volcanic ash from the island of St. Vincent (near Barbados), volcanic ash from

  8. A Study of the Generalized Input-to-State L2-Gain of Discrete-Time Switched Linear Systems

    E-Print Network [OSTI]

    Shen, Jinglai

    of switched linear systems under average dwell time constraints were given in [8]. The design of switching is proposed to study the stability of autonomous switched linear systems. These functions are power seriesA Study of the Generalized Input-to-State L2-Gain of Discrete-Time Switched Linear Systems Vamsi

  9. ,"U.S. Refinery Crude Oil Input Qualities"

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188Petroleum Product

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

    E-Print Network [OSTI]

    Gulati, Vivek

    2005-02-17

    -time codes. The bounds we compute are the fundamental limits to the performance of these space-time codes under maximum-likelihood decod- ing, optimal outer codes and asymptotically long lengths. These bounds also indicate that MIMO systems have different.... UnconstrainedModulation ............... 10 3. ConstrainedModulation................. 11 C. Computing Constrained Modulation Information Rates . . 12 1. Spatial Multiplexing: i.i.d. Transmission . . . . . . . . 13 2. Space-timeBlockCodes................. 16 3...

  11. Generation IV benchmarking of TRISO fuel performance models under accident conditions. Modeling input data

    SciTech Connect (OSTI)

    Blaise Collin

    2014-09-01

    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.

  12. Technical Information 

    E-Print Network [OSTI]

    Unknown

    2011-08-17

    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...

  13. Applicant Information

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

    Assistant Josefina Salazar Email Request more information Email The Los Alamos Space Weather Summer School program is open to U.S. and foreign graduate students enrolled in a PhD...

  14. Information Security

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2011-06-20

    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.

  15. ,"U.S. Downstream Processing of Fresh Feed Input"

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1Sales to

  16. Fe CASL-U-2014-0014-002 VERA Common Input User Manual Scott Palmtag

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES OctoberEvan Racah861 ANNUAL|FacilityAboutHeat

  17. Faculty Information Security Guide

    E-Print Network [OSTI]

    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

  18. PROTECTING SENSITIVE INFORMATION TRANSMITTED

    E-Print Network [OSTI]

    INFORMATION TRANSMITTED IN PUBLIC NETWORKS Shirley Radack, EditorShirley Radack, Editor Computer Security DivisionComputer Security Division Information Technology LaboratoryInformation Technology Laboratory to the overall security of an organization's information and information systems. The Information Technology

  19. The impact of size distribution assumptions in a bulk one-moment microphysics scheme on simulated surface precipitation and storm dynamics during a low-topped supercell case in Belgium

    SciTech Connect (OSTI)

    Van Weverberg, K.; Van Lipzig, N. P. M.; Delobbe, L.

    2011-04-01

    In this research the impact of modifying the size distribution assumptions of the precipitating hydrometeors in a bulk one-moment microphysics scheme on simulated surface precipitation and storm dynamics has been explored for long-lived low-topped supercells in Belgium. It was shown that weighting the largest precipitating ice species of the microphysics scheme to small graupel results in an increase of surface precipitation because of counteracting effects. On the one hand, the precipitation formation process slowed down, resulting in lower precipitation efficiency. On the other hand, latent heat release associated with freezing favored more intense storms. In contrast to previous studies finding decreased surface precipitation when graupel was present in the microphysics parameterization, storms were rather shallow in the authors simulations. This left little time for graupel sublimation. The impact of size distribution assumptions of snow was found to be small, but more realistic size distribution assumptions of rain led to the strongest effect on surface precipitation. Cold pools shrunk because of weaker rain evaporation at the cold pool boundaries, leading to a decreased surface rain area.

  20. Integrated Waste Treatment Unit (IWTU) Input Coal Analyses and Off-Gass Filter (OGF) Content Analyses

    SciTech Connect (OSTI)

    Jantzen, Carol M.; Missimer, David M.; Guenther, Chris P.; Shekhawat, Dushyant; VanEssendelft, Dirk T.; Means, Nicholas C.

    2015-04-23

    A full engineering scale Fluidized Bed Steam Reformer (FBSR) system is being used at the Idaho Nuclear Technology and Engineering Center (INTEC) to stabilize acidic Low Activity Waste (LAW) known as Sodium Bearing Waste (SBW). The INTEC facility, known as the Integrated Waste Treatment Unit (IWTU), underwent an Operational Readiness Review (ORR) and a Technology Readiness Assessment (TRA) in March 2014. The IWTU began non-radioactive simulant processing in late 2014 and by January, 2015 ; the IWTU had processed 62,000 gallons of simulant. The facility is currently in a planned outage for inspection of the equipment and will resume processing simulated waste feed before commencing to process 900,000 gallons of radioactive SBW. The SBW acidic waste will be made into a granular FBSR product (carbonate based) for disposal in the Waste Isolation Pilot Plant (WIPP). In the FBSR process calcined coal is used to create a CO2 fugacity to force the waste species to convert to carbonate species. The quality of the coal, which is a feed input, is important because the reactivity, moisture, and volatiles (C,H,N,O, and S) in the coal impact the reactions and control of the mineralizing process in the primary steam reforming vessel, the Denitration and Mineralizing Reformer (DMR). Too much moisture in the coal can require that additional coal be used. However since moisture in the coal is only a small fraction of the moisture from the fluidizing steam this can be self-correcting. If the coal reactivity or heating value is too low then the coal feedrate needs to be adjusted to achieve the desired heat generation. Too little coal and autothermal heat generation in the DMR cannot be sustained and/or the carbon dioxide fugacity will be too low to create the desired carbonate mineral species. Too much coal and excess S and hydroxide species can form. Excess sulfur from coal that (1) is too rich in sulfur or (2) from overfeeding coal can promote wall scale and contribute to corrosion in process piping and materials, in excessive off-gas absorbent loading, and in undesired process emissions. The ash content of the coal is important as the ash adds to the DMR and other vessel products which affect the final waste product mass and composition. The amount and composition of the ash also affects the reaction kinetics. Thus ash content and composition contributes to the mass balance. In addition, sodium, potassium, calcium, sulfur, and maybe silica and alumina in the ash may contribute to wall-scale formation. Sodium, potassium, and alumina in the ash will be overwhelmed by the sodium, potassium, and alumina from the feed but the impact from the other ash components needs to be quantified. A maximum coal particle size is specified so the feed system does not plug and a minimum particle size is specified to prevent excess elutriation from the DMR to the Process Gas Filter (PGF). A vendor specification was used to procure the calcined coal for IWTU processing. While the vendor supplied a composite analysis for the 22 tons of coal (Appendix A), this study compares independent analyses of the coal performed at the Savannah River National Laboratory (SRNL) and at the National Energy Technology Laboratory (NETL). Three supersacks a were sampled at three different heights within the sack in order to determine within bag variability and between bag variability of the coal. These analyses were also compared to the vendor’s composite analyses and to the coal specification. These analyses were also compared to historic data on Bestac coal analyses that had been performed at Hazen Research Inc. (HRI) between 2004-2011.

  1. Low-Cost PCI E Series Multifunction I/O 200 kS/s, 12-Bit, 16 Analog Inputs

    E-Print Network [OSTI]

    Wedeward, Kevin

    Low-Cost PCI E Series Multifunction I/O ­ 200 kS/s, 12-Bit, 16 Analog Inputs 602xE Families (E-5 outputs. An additional 24 lines of 5V/TTL I/O makes the 6025E family the best value of any PCI data/O Overview on page 231. 6023E Family (AI-16E-5) PCI-6023E 6024E Family (MIO-16E-5) PCI-6024E 6025E Family

  2. Information Security

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2011-06-20

    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. Admin Chg 1, dated 11-23-2012, cancels DOE O 471.6. Canceled by Admin Chg 2 dated 5-15-15.

  3. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATION PLAN FOR THEVorticesInformation Resources3 Information

  4. Information Repository

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation CurrentHenry Bellamy,ImpactScientificInfluence of Topological Spin0 Information

  5. Information geometry of Gaussian channels

    SciTech Connect (OSTI)

    Monras, Alex; Illuminati, Fabrizio

    2010-06-15

    We define a local Riemannian metric tensor in the manifold of Gaussian channels and the distance that it induces. We adopt an information-geometric approach and define a metric derived from the Bures-Fisher metric for quantum states. The resulting metric inherits several desirable properties from the Bures-Fisher metric and is operationally motivated by distinguishability considerations: It serves as an upper bound to the attainable quantum Fisher information for the channel parameters using Gaussian states, under generic constraints on the physically available resources. Our approach naturally includes the use of entangled Gaussian probe states. We prove that the metric enjoys some desirable properties like stability and covariance. As a by-product, we also obtain some general results in Gaussian channel estimation that are the continuous-variable analogs of previously known results in finite dimensions. We prove that optimal probe states are always pure and bounded in the number of ancillary modes, even in the presence of constraints on the reduced state input in the channel. This has experimental and computational implications. It limits the complexity of optimal experimental setups for channel estimation and reduces the computational requirements for the evaluation of the metric: Indeed, we construct a converging algorithm for its computation. We provide explicit formulas for computing the multiparametric quantum Fisher information for dissipative channels probed with arbitrary Gaussian states and provide the optimal observables for the estimation of the channel parameters (e.g., bath couplings, squeezing, and temperature).

  6. Effects of gonadotropin-releasing hormone (GnRH) on main olfactory input to the medial amygdala in male hamsters. Blake, CB, Meredith, M. Florida State University,

    E-Print Network [OSTI]

    Meredith, Michael

    Effects of gonadotropin-releasing hormone (GnRH) on main olfactory input to the medial amygdala mating behavior is dependent on chemosensory input from the main olfactory and vomeronasal systems, whose. In sexually-naïve males, vomeronasal organ removal (VNX), but not main olfactory lesion, impairs mating

  7. The Journal of Neuroscience, April 1994, f4(4): 2444-2454 Distributed Input to the Tail-Siphon Withdrawal Circuit

    E-Print Network [OSTI]

    Byrne, John H.

    The Journal of Neuroscience, April 1994, f4(4): 2444-2454 Distributed Input to the Tail-Siphon for the tail-siphon withdrawal circuit. Activation of mechanoafferent neurons in the J clus- ter of the cerebral ganglion produced strong and distributed input to the tail-siphon withdrawal circuit. Stimulation

  8. 26.2 Single-Inductor Dual-Input Dual-Output Buck-Boost Fuel Cell-Li Ion Charging DC-DC Converter Supply

    E-Print Network [OSTI]

    Rincon-Mora, Gabriel A.

    1 26.2 Single-Inductor Dual-Input Dual-Output Buck-Boost Fuel Cell-Li Ion Charging DC-DC Converter battery with its energy-dense counterpart like the fuel cell (FC) improves micro-scale integration [2]. As a result, buck or boost single-inductor, dual-input, dual-output (SIDIDO) converters enjoy

  9. Whole-Mantle Convection and the Transition-Zone Water Filter D. Bercovici & S. Karato Supplementary Information

    E-Print Network [OSTI]

    Whole-Mantle Convection and the Transition-Zone Water Filter D. Bercovici & S. Karato Supplementary Information In the transition-zone water-filter hypothesis, (see main text), water is assumed essentially and exsolution of water from slabs at 660km. The assumption that recycling of water is closed allows us

  10. Development of a Low Input and sustainable Switchgrass Feedstock Production System Utilizing Beneficial Bacterial Endophytes

    SciTech Connect (OSTI)

    Mei, Chuansheng; Nowak, Jerzy; Seiler, John

    2014-10-24

    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

  11. 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

  12. Networks, Information andNetworks, Information and Information Worker ProductivityInformation Worker Productivity

    E-Print Network [OSTI]

    Reif, Rafael

    Yahoo! - July 28, 2006 © 2006 All Rights Reserved Information and Non-Information Work1 Networks, Information andNetworks, Information and Information Worker ProductivityInformationEmployment Source: Wolff (2005) Information Work Non - Information Work 70% of labor force; 60% of GDP of US (Apte

  13. Approximate Information Theory

    E-Print Network [OSTI]

    Penny, Will

    Approximate Inference Will Penny Information Theory Information Entropy Kullback-Liebler Divergence Approximate Inference Will Penny 31st March 2011 #12;Approximate Inference Will Penny Information Theory Will Penny Information Theory Information Entropy Kullback-Liebler Divergence Gaussians Asymmetry

  14. Mathematics Information

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

    Discrete Mathematics Lecture Notes Yuh-Dauh Lyuu Dept. Computer Science & Information Engineering and Combination #15; n! = n #1; (n 1) #1; #1; #1; 1. #15; (Stirling's formula) n! #25; p 2#25;n (n=e) n and n of Approximation to n! 200 400 600 800 1.0002 1.0004 1.0006 1.0008 n! over approximation 7 #12; Proof of Stirling

  15. Information Security

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2011-06-29

    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. (The original DOE O 471.6 canceled DOE M 470.4-4A, except for Section D). Admin Chg 2, dated 5-15-15, supersedes Admin Chg 1. Certified 5-21-2015.

  16. General 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article)ForthcomingGENERALProblemsGeneral Information General

  17. SRTC Input to DOE-HQ R and D Database for FY98

    SciTech Connect (OSTI)

    Chandler, L.R. Jr.

    1998-11-18

    IDWP is a software application that was developed to identify the groundwater monitoring wells at SRS that require containerization and treatment for purge water generated during sampling. Created by the Statistical Consulting Section of SRTC, IDWP is a SAS application that retrieves the necessary data for wells selected by the user from the Site's extensive groundwater database on a remote machine. The program then applies an algorithm, derived by the Environmental Protection Department from the SRS Investigation-Derived Waste (IDW) Management Plan, to the analytical results to determine whether containerization is required for the specified wells. IDWP produces output files that designate the containerization status of each of the selected wells, provide statistics to support the treatment facilities' permits, and assist with controlling and scheduling the handling of the managed purge water. The SRS Aqueous IDW Administrator in the Environmental Restoration Division (ERD) uses IDWP in conjunction with knowledge of new wells to produce quarterly reports that specify which groundwater monitoring wells require purge water containerization for each treatment facility. Special reports supply other groundwater information of interest to ERD, such as analytical concentration plots and groundwater data gathering. Benefits include the timely generation of containerization lists for each treatment facility; the automatic retrieval of, and complex calculations for, extremely large amounts of data, ensuring consistent, accurate, and current containerization lists; and features such as a user-friendly interface, availability through computer networks, access for simultaneous multiple users, and independence from any particular person. The scope of IDWP continually expands to accommodate changes to the IDW Management Plan and to satisfy additional needs as they are identified, including the development of an Intranet interface for FY99.

  18. Dynamical r-process studies within the neutrino-driven wind scenario and its sensitivity to the nuclear physics input

    E-Print Network [OSTI]

    A. Arcones; G. Martinez-Pinedo

    2011-01-05

    We use results from long-time core-collapse supernovae simulations to investigate the impact of the late time evolution of the ejecta and of the nuclear physics input on the calculated r-process abundances. Based on the latest hydrodynamical simulations, heavy r-process elements cannot be synthesized in the neutrino-driven winds that follow the supernova explosion. However, by artificially increasing the wind entropy, elements up to A=195 can be made. In this way one can reproduce the typical behavior of high-entropy ejecta where the r-process is expected to occur. We identify which nuclear physics input is more important depending on the dynamical evolution of the ejecta. When the evolution proceeds at high temperatures (hot r-process), an (n,g)-(g,n) equilibrium is reached. While at low temperature (cold r-process) there is a competition between neutron captures and beta decays. In the first phase of the r-process, while enough neutrons are available, the most relevant nuclear physics input are the nuclear masses for the hot r-process and the neutron capture and beta-decay rates for the cold r-process. At the end of this phase, the abundances follow a steady beta flow for the hot r-process and a steady flow of neutron captures and beta decays for the cold r-process. After neutrons are almost exhausted, matter decays to stability and our results show that in both cases neutron captures are key for determining the final abundances, the position of the r-process peaks, and the formation of the rare-earth peak. In all the cases studied, we find that the freeze out occurs in a timescale of several seconds.

  19. Personal Information Request Request for Personal Information

    E-Print Network [OSTI]

    deYoung, Brad

    Personal Information Request Request for Personal Information Request for Correction of Personal Information Personal information on this form is collected under Newfoundland and Labrador's Access to Information and Protection of Privacy (ATIPP) Act and will be used to respond to a request for, or correction

  20. Local Sensitivity of Predicted CO2 Injectivity and Plume Extent to Model Inputs for the FutureGen 2.0 site

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

    Zhang, Z. Fred; White, Signe K.; Bonneville, Alain; Gilmore, Tyler J.

    2014-12-31

    Numerical simulations have been used for estimating CO2 injectivity, CO2 plume extent, pressure distribution, and Area of Review (AoR), and for the design of CO2 injection operations and monitoring network for the FutureGen project. The simulation results are affected by uncertainties associated with numerous input parameters, the conceptual model, initial and boundary conditions, and factors related to injection operations. Furthermore, the uncertainties in the simulation results also vary in space and time. The key need is to identify those uncertainties that critically impact the simulation results and quantify their impacts. We introduce an approach to determine the local sensitivity coefficientmore »(LSC), defined as the response of the output in percent, to rank the importance of model inputs on outputs. The uncertainty of an input with higher sensitivity has larger impacts on the output. The LSC is scalable by the error of an input parameter. The composite sensitivity of an output to a subset of inputs can be calculated by summing the individual LSC values. We propose a local sensitivity coefficient method and applied it to the FutureGen 2.0 Site in Morgan County, Illinois, USA, to investigate the sensitivity of input parameters and initial conditions. The conceptual model for the site consists of 31 layers, each of which has a unique set of input parameters. The sensitivity of 11 parameters for each layer and 7 inputs as initial conditions is then investigated. For CO2 injectivity and plume size, about half of the uncertainty is due to only 4 or 5 of the 348 inputs and 3/4 of the uncertainty is due to about 15 of the inputs. The initial conditions and the properties of the injection layer and its neighbour layers contribute to most of the sensitivity. Overall, the simulation outputs are very sensitive to only a small fraction of the inputs. However, the parameters that are important for controlling CO2 injectivity are not the same as those controlling the plume size. The three most sensitive inputs for injectivity were the horizontal permeability of Mt Simon 11 (the injection layer), the initial fracture-pressure gradient, and the residual aqueous saturation of Mt Simon 11, while those for the plume area were the initial salt concentration, the initial pressure, and the initial fracture-pressure gradient. The advantages of requiring only a single set of simulation results, scalability to the proper parameter errors, and easy calculation of the composite sensitivities make this approach very cost-effective for estimating AoR uncertainty and guiding cost-effective site characterization, injection well design, and monitoring network design for CO2 storage projects.« less