Sample records for volume percent max

  1. Max Schulze

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighand Retrievals from a NewCuneo Matthew Cuneo MatthewEnergyMauroMauryMax

  2. Max Schulze

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your Home andDisposition |MaterialsMatt DozierWaltherMattyMax

  3. 97055-97044 Revision C May 2007 Ion Max and Ion Max-S

    E-Print Network [OSTI]

    97055-97044 Revision C May 2007 Ion Max and Ion Max-S API Source Hardware Manual #12;© 2007 Thermo, it meets all pertinent electromagnetic compatibility (EMC) and safety standards as described below. EMC/23/EEC and harmonized standard EN 61010-1:2001. Changes that you make to your system may void compliance

  4. "EIA-914 Production Weighted Response Rates, Percent"

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

    EIA-914 Production Weighted Response Rates, Percent" "Areas",38353,38384,38412,38443,38473,38504,38534,38565,38596,38626,38657,38687,38718,38749,38777,"application...

  5. "apsched: request exceeds max nodes, alloc"

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

    "apsched: request exceeds max nodes, alloc" runtime error message: "apsched: request exceeds max nodes, alloc" September 12, 2014 (0 Comments) Symptom: User jobs with single or...

  6. Beef Cow Management Survey USDA NAHMS 2007-2008 Max Irsik DVM, MAB

    E-Print Network [OSTI]

    Watson, Craig A.

    identification survey results (USDA NAHMS 2007-2008) Beef cow management practices Percent of Operations by typeBeef Cow Management Survey USDA NAHMS 2007-2008 Max Irsik DVM, MAB Beef Cattle Extension-calf operations. The Beef 2007-08 study focused on health and management practices on U.S. beef operations from 24

  7. Extraction of Plutonium into 30 Percent Tri-Butyl Phosphate from Nitric Acid Solution Containing Fluoride, Aluminum, and Boron

    SciTech Connect (OSTI)

    Kyser, E.A.

    2000-01-06T23:59:59.000Z

    This work consists of experimental batch extraction data for plutonium into 30 volume-percent tri-butyl phosphate at ambient temperature from such a solution matrix and a model of this data using complexation constants from the literature.

  8. Federal Government Increases Renewable Energy Use Over 1000 Percent...

    Office of Environmental Management (EM)

    Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal Federal Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal...

  9. Cloud Security by Max Garvey

    E-Print Network [OSTI]

    Tolmach, Andrew

    Cloud Security Survey by Max Garvey #12;Cloudy Cloud is Cloudy What is the cloud? On Demand Service Network access Resource pooling Elasticity of Resources Measured Service #12;Cloud Types/Variants Iaa Cloud Public Cloud Hybrid Cloud combination. Private cloud with overflow going to public cloud. #12

  10. Max-Planck-Institut fr biologische Kybernetik Max Planck Institute for Biological Cybernetics

    E-Print Network [OSTI]

    Engineering (Aeronautics) The Max Planck Institute for Biological Cybernetics in Tübingen, Germany launches

  11. Min-max and min-max regret versions of some combinatorial optimization problems : a survey

    E-Print Network [OSTI]

    Boyer, Edmond

    , such as deterministic or stochastic approaches, will fail to protect against exceptional high-impact events (earthquakes-clefs : Min-max, min-max regret, optimisation combinatoire, complexité, ap- proximation, analyse de robustesse in order to max- imize the level of protection. Quantifying the protection level using the expected impact

  12. Max Tech and Beyond Design Competition

    Broader source: Energy.gov [DOE]

    The Max Tech and Beyond Design Competition is an annual competition run by the Department of Energy (DOE) and the Lawrence Berkeley National Laboratory (LBNL) that challenges students to design...

  13. Max-Planck-Institut fur Mathematik

    E-Print Network [OSTI]

    , and Nihat Ay Preprint no.: 60 2013 #12;#12;Information-driven intrinsic motivation in reinforcement learning Keyan Zahedi1 , Georg Martius1 , and Nihat Ay1,2 1 Information Theory of Cognitive Systems, Max Planck

  14. Max-Planck-Institut fur Mathematik

    E-Print Network [OSTI]

    information by Nils Bertschinger, Johannes Rauh, Eckehard Olbrich, J¨urgen Jost, and Nihat Ay Preprint no1 , J¨urgen Jost1,2 , Nihat Ay1,2 1Max Planck Institute for Mathematics in the Sciences, Leipzig

  15. MaxPlanckInstitut fur Mathematik

    E-Print Network [OSTI]

    of strongly interacting Markov chains by Nihat Ay and Thomas Wennekers Preprint no.: 107 2001 #12; #12; Dynamical Properties of Strongly Interacting Markov Chains Nihat Ay and Thomas Wennekers Max

  16. Max-Planck-Institut fur Mathematik

    E-Print Network [OSTI]

    and Approximation Errors of Restricted Boltzmann Machines by Guido Mont´ufar, Johannes Rauh, and Nihat Ay Preprint F. Montufar1 , Johannes Rauh1 , Nihat Ay1,2 1 Max Planck Institute for Mathematics in the Sciences

  17. Max-Planck-Institut f ur Mathematik

    E-Print Network [OSTI]

    stochastic interaction in directed acyclic networks (revised version: March 2002) by Nihat Ay Preprint no.: 54 2001 #12; #12; Locality of Global Stochastic Interaction in Directed Acyclic Networks Nihat Ay Max

  18. Max-Planck-Institut fur Mathematik

    E-Print Network [OSTI]

    Universal Approximation in Embodied Systems by Guido Mont´ufar, Nihat Ay, and Keyan Ghazi-Zahedi Preprint no Planck Institute for Mathematics in the Sciences montufar@mis.mpg.de Nihat Ay Max Planck Institute

  19. Max-Planck-Institut fur Mathematik

    E-Print Network [OSTI]

    on complexity and stochastic interaction by Nihat Ay Preprint no.: 95 2001 #12; #12; Information Geometry on Complexity and Stochastic Interaction Nihat Ay Max-Planck-Institute for Mathematics in the Sciences Inselstr

  20. Ways to Increase Percent Calf Crop in Beef Cattle.

    E-Print Network [OSTI]

    Beverly, John R.

    1973-01-01T23:59:59.000Z

    in young heifers shows a marked increase in breeding efficiency. Work at the University of Arizona on rebreeding first calf heifers supports this data. Arizona work showed 79 percent pregnancy rates in heifers with calves early weaned and 46 percent... mo. mo. mo. mo. mo. mo. mo. mo. Low level Angus 0 0 0 33 82 90100100 Hereford 0 11 22 33 38 50 100 100 Crossbreed 0 0 12 68 85 100 100 100 Setting some arbitrary age at which t heifers is not the solution. The outcome would largely on how...

  1. Percent of Commercial Natural Gas Deliveries in Washington Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) YearPrice (Percent)the

  2. Percent of Commercial Natural Gas Deliveries in West Virginia Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) YearPrice (Percent)theby

  3. Max-Planck-Institut fur Mathematik

    E-Print Network [OSTI]

    Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2012) Corresponding author Dimensions $ L. Banjaia,1 , M. Kachanovskab, aDepartment of Mathematics, Heriot-Watt University, Edinburgh, EH14 4AS,UK bMax Planck Institute for Mathematics in the Sciences, Inselstr. 22, 04103 Leipzig

  4. Max-Planck-Institut f ur Mathematik

    E-Print Network [OSTI]

    physics are con­ sistent with the Moyal product of noncommutative field theory. An example­Witten noncommutative gauge theories by Friedemann Brandt, Carmelo P. Martin, and Fernando Ruiz Ruiz Preprint no.: 70­Witten noncommutative gauge theories Friedemann Brandt Max­Planck­Institute for Mathematics in the Sciences, Inselstra�e

  5. Max-Planck-Institut fur Mathematik

    E-Print Network [OSTI]

    18 1 Introduction Noncommutative quantum field theories (NCQFT) enjoy wide popularity among theoret. Quantum field theory on a noncommutative Minkowski spacetime was rigorously realised in [8]. The quantumJun2012 Wedge-Local Quantum Fields on a Nonconstant Noncommutative Spacetime A. Much Max

  6. Max-Planck-Institut fur Mathematik

    E-Print Network [OSTI]

    -organization of complex robotic behaviors by Georg Martius, Ralf Der, and Nihat Ay Preprint no.: 15 2013 #12;#12;Information driven self-organization of complex robotic behaviors Georg Martius1, Ralf Der1, Nihat Ay1,2 1Max

  7. Max-Planck-Institut fur Mathematik

    E-Print Network [OSTI]

    of Conditional Probability Polytopes by Guido Mont´ufar, Johannes Rauh, and Nihat Ay Preprint no.: 87 2014 #12 , and Nihat Ay1,2,3 {montufar, jrauh, nay}@mis.mpg.de 1 Max Planck Institute for Mathematics in the Sciences

  8. Max-Planck-Institut fur Mathematik

    E-Print Network [OSTI]

    of Conditional Restricted Boltzmann Machines for Sensorimotor Control by Guido Mont´ufar, Nihat Ay, and Keyan for Sensorimotor Control Guido Mont´ufar1 , Nihat Ay1,2,3 , and Keyan Zahedi1 1 Max Planck Institute

  9. Max-Planck-Institut fur Mathematik

    E-Print Network [OSTI]

    of Information Inequalities by Nihat Ay, and Walter Wenzel Preprint no.: 16 2011 #12;#12;On Solution Sets of Information Inequalities Nihat Ay1,2 & Walter Wenzel1,3 {nay, wenzel}@mis.mpg.de 1Max Planck Institute

  10. Max-Planck-Institut f ur Mathematik

    E-Print Network [OSTI]

    by the equations: (1.1) (# t +D)u = 0, u(x; 0) = #, and Bu = 0. The specific heat # is a section to the dual bundle V # . Let #(#, #, D, B)(t) := # M u# be the total heat energy content. As t # 0, there is a completeMax-Planck-Institut fË? ur Mathematik in den Naturwissenschaften Leipzig Heat content asymptotics

  11. Percent of Commercial Natural Gas Deliveries in Louisiana Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar Aprthe Price

  12. Percent of Commercial Natural Gas Deliveries in Massachusetts Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar

  13. Percent of Commercial Natural Gas Deliveries in Minnesota Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb MarPricethe

  14. Percent of Commercial Natural Gas Deliveries in Mississippi Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb MarPricethethe

  15. Percent of Commercial Natural Gas Deliveries in New Hampshire Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan FebPricePricePriceby

  16. Percent of Commercial Natural Gas Deliveries in North Carolina Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Janthe PricePriceby the

  17. Percent of Commercial Natural Gas Deliveries in Pennsylvania Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year JanthePricethe Price

  18. Percent of Commercial Natural Gas Deliveries in South Carolina Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year JanthePricethe

  19. Percent of Commercial Natural Gas Deliveries in Tennessee Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year JanthePricethethe

  20. Percent of Commercial Natural Gas Deliveries in Wisconsin Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) YearPrice

  1. PERCENT FEDERAL LAND FOR OIL/GAS FIELD OUTLINES

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14 Jan-15LiquidBGOperablePERCENT FEDERAL LAND FOR

  2. Percent of Commercial Natural Gas Deliveries in Louisiana Represented by

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

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

  3. Percent of Commercial Natural Gas Deliveries in New Hampshire Represented

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

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

  4. Percent of Industrial Natural Gas Deliveries in Connecticut Represented by

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

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

  5. Percent of Industrial Natural Gas Deliveries in Connecticut Represented by

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

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

  6. Percent of Industrial Natural Gas Deliveries in Louisiana Represented by

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

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

  7. Percent of Industrial Natural Gas Deliveries in Louisiana Represented by

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

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

  8. Percent of Industrial Natural Gas Deliveries in New Hampshire Represented

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

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

  9. Percent of Industrial Natural Gas Deliveries in New Hampshire Represented

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

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

  10. Percent of Industrial Natural Gas Deliveries in North Carolina Represented

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

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

  11. Percent of Industrial Natural Gas Deliveries in North Carolina Represented

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

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

  12. Percent of Industrial Natural Gas Deliveries in Pennsylvania Represented by

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

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

  13. Percent of Industrial Natural Gas Deliveries in Pennsylvania Represented by

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

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

  14. Percent of Industrial Natural Gas Deliveries in South Carolina Represented

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

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

  15. Percent of Industrial Natural Gas Deliveries in South Carolina Represented

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

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

  16. Percent of Industrial Natural Gas Deliveries in Tennessee Represented by

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

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

  17. Percent of Industrial Natural Gas Deliveries in Tennessee Represented by

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

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

  18. Percent of Industrial Natural Gas Deliveries in Washington Represented by

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

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

  19. Percent of Industrial Natural Gas Deliveries in Washington Represented by

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

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

  20. Percent of Industrial Natural Gas Deliveries in West Virginia Represented

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

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

  1. Percent of Industrial Natural Gas Deliveries in West Virginia Represented

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

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

  2. Percent of Industrial Natural Gas Deliveries in Wisconsin Represented by

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

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

  3. Percent of Industrial Natural Gas Deliveries in Wisconsin Represented by

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

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

  4. Table 2. Percent of Households with Vehicles, Selected Survey Years

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan FebDecadeDecade21752 2,616 January 1996 January1996Percent

  5. U.S. Natural Gas % of Total Residential Deliveries (Percent)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion Cubic Feet) U.S.Developmental WellsYear JanDeliveries (Percent)

  6. China's Pathways to Achieving 40percent 45percent Reduction in CO2 Emissions per Unit of GDP in 2020: Sectoral Outlook and Assessment of Savings Potential

    E-Print Network [OSTI]

    Zheng, Nina

    2013-01-01T23:59:59.000Z

    heater Residential CO2 Emissions (Mt CO2) 2020 ResidentialEnergy Industrial Sector CO2 Emissions (Mt CO2) IndustrialFigure 5. Power Sector CO2 Emissions by Scenario E3 Max Tech

  7. Neurton Damage and MAX Phase Ternary Compounds

    SciTech Connect (OSTI)

    Barsoum, Michael; Hoffman, Elizabeth; Sindelar, Robert; Garcua-Duaz, Brenda; Kohse, Gordon

    2014-06-17T23:59:59.000Z

    The Demands of Gen IV nuclear power plants for long service life under neutron radiation at high temperature are severe. Advanced materials that would withstand high temperatures (up to 1000+ C) to high doses in a neutron field would be ideal for reactor internal structures and would add to the long service life and reliability of the reactors. The objective of this work is to investigate the resonse of a new class of machinable, conductive, layered, ternary transition metal carbides and nitrides - the so-called MAX phases - to low and moderate neutron dose levels.

  8. SolarMax Inc | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt LtdShawangunk, NewSingapore Jump to:Voltaic MalaysiaSolarLab Jump to:SolarMax

  9. AVTA: 2013 Ford C-MAX HEV Testing Results

    Broader source: Energy.gov [DOE]

    VTO's National Laboratories have tested and collected both dynamometer and fleet data for the Ford C-MAX HEV (a hybrid electric vehicle).

  10. Max-Planck-Institut fr biologische Kybernetik Max Planck Institute for Biological Cybernetics

    E-Print Network [OSTI]

    and analysis of human psychophysical experiments. · Good understanding of the English language in speaking Position in Human Motion Simulation The Max Planck Institute for Biological Cybernetics in Tübingen laws of perception will be implemented into the control framework of motion-based simulators. Human

  11. Maine Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYearUnderground Storage Volume16,% of Total Residential

  12. 6 MaxPlanckForschung 4 | 09 PERSPEKTIVEN

    E-Print Network [OSTI]

    ", zu dem die Max- Planck-Gesellschaft und Siemens über 400 Wissenschaftler, Politiker und Manager müsse. Siemens setze bereits ganz auf grüne Technologien, so Siemens-Chef Peter Löscher. Max-Planck-Gesellschaft und Siemens laden zum Future Dialogue Unter dem Titel ,,The Evolution of Me- dicine" fand vom 14. bis

  13. APPLICATION OF THE FUZZY MIN-MAX NEURAL NETWORK CLASSIFIER

    E-Print Network [OSTI]

    Blekas, Konstantinos

    . The fuzzy min-max classi cation network constitutes a promisimg pattern recognition approach that is based. Experimental results us- ing the modi ed model on a di cult pattern recognition prob- lem establishes of the fuzzy min-max clas- si cation neural network on a pattern recognition problem that involves both

  14. Modcomp MAX IV System Processors reference guide

    SciTech Connect (OSTI)

    Cummings, J.

    1990-10-01T23:59:59.000Z

    A user almost always faces a big problem when having to learn to use a new computer system. The information necessary to use the system is often scattered throughout many different manuals. The user also faces the problem of extracting the information really needed from each manual. Very few computer vendors supply a single Users Guide or even a manual to help the new user locate the necessary manuals. Modcomp is no exception to this, Modcomp MAX IV requires that the user be familiar with the system file usage which adds to the problem. At General Atomics there is an ever increasing need for new users to learn how to use the Modcomp computers. This paper was written to provide a condensed Users Reference Guide'' for Modcomp computer users. This manual should be of value not only to new users but any users that are not Modcomp computer systems experts. This Users Reference Guide'' is intended to provided the basic information for the use of the various Modcomp System Processors necessary to, create, compile, link-edit, and catalog a program. Only the information necessary to provide the user with a basic understanding of the Systems Processors is included. This document provides enough information for the majority of programmers to use the Modcomp computers without having to refer to any other manuals. A lot of emphasis has been placed on the file description and usage for each of the System Processors. This allows the user to understand how Modcomp MAX IV does things rather than just learning the system commands.

  15. IEEE COMMUNICATIONS LETTERS, VOL. 10, NO. 1, JANUARY 2006 31 Price-Based Max-Min Fair Rate Allocation in

    E-Print Network [OSTI]

    Andrew, Lachlan

    of the max- imum utility rate allocations is max-min fair. This approach is applied to wireless in [5

  16. Near Zero Emissions at 50 Percent Thermal Efficiency

    SciTech Connect (OSTI)

    None

    2012-12-31T23:59:59.000Z

    Detroit Diesel Corporation (DDC) has successfully completed a 10 year DOE sponsored heavy-duty truck engine program, hereafter referred to as the NZ-50 program. This program was split into two major phases. The first phase was called â??Near-Zero Emission at 50 Percent Thermal Efficiency,â? and was completed in 2007. The second phase was initiated in 2006, and this phase was named â??Advancements in Engine Combustion Systems to Enable High-Efficiency Clean Combustion for Heavy-Duty Engines.â? This phase was completed in September, 2010. The key objectives of the NZ-50 program for this first phase were to: â?¢ Quantify thermal efficiency degradation associated with reduction of engine-out NOx emissions to the 2007 regulated level of ~1.1 g/hp-hr. â?¢ Implement an integrated analytical/experimental development plan for improving subsystem and component capabilities in support of emerging engine technologies for emissions and thermal efficiency goals of the program. â?¢ Test prototype subsystem hardware featuring technology enhancements and demonstrate effective application on a multi-cylinder, production feasible heavy-duty engine test-bed. â?¢ Optimize subsystem components and engine controls (calibration) to demonstrate thermal efficiency that is in compliance with the DOE 2005 Joule milestone, meaning greater than 45% thermal efficiency at 2007 emission levels. â?¢ Develop technology roadmap for meeting emission regulations of 2010 and beyond while mitigating the associated degradation in engine fuel consumption. Ultimately, develop technical prime-path for meeting the overall goal of the NZ-50 program, i.e., 50% thermal efficiency at 2010 regulated emissions. These objectives were successfully met during the course of the NZ-50 program. The most noteworthy achievements in this program are summarized as follows: â?¢ Demonstrated technologies through advanced integrated experiments and analysis to achieve the technical objectives of the NZ-50 program with 50.2% equivalent thermal efficiency under EPA 2010 emissions regulations. â?¢ Experimentally demonstrate brake efficiency of 48.5% at EPA 2010 emission level at single steady-state point. â?¢ Analytically demonstrated additional brake efficiency benefits using advanced aftertreatment configuration concept and air system enhancement including, but not limited to, turbo-compound, variable valve actuator system, and new cylinder head redesign, thus helping to achieve the final program goals. â?¢ Experimentally demonstrated EPA 2010 emissions over FTP cycles using advanced integrated engine and aftertreatment system. These aggressive thermal efficiency and emissions results were achieved by applying a robust systems technology development methodology. It used integrated analytical and experimental tools for subsystem component optimization encompassing advanced fuel injection system, increased EGR cooling capacity, combustion process optimization, and advanced aftertreatment technologies. Model based controls employing multiple input and output techniques enabled efficient integration of the various subsystems and ensured optimal performance of each system within the total engine package. . The key objective of the NZ-50 program for the second phase was to explore advancements in engine combustion systems using high-efficiency clean combustion (HECC) techniques to minimize cylinder-out emissions, targeting a 10% efficiency improvement. The most noteworthy achievements in this phase of the program are summarized as follows: â?¢ Experimentally and analytically evaluated numerous air system improvements related to the turbocharger and variable valve actuation. Some of the items tested proved to be very successful and modifications to the turbine discovered in this program have since been incorporated into production hardware. â?¢ The combustion system development continued with evaluation of various designs of the 2-step piston bowl. Significant improvemen

  17. Princeton, Max Planck Society launch new research center for...

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

    Planck Society President Peter Gruss, and Consul General of the Federal Republic of Germany in New York Busso von Alvensleben meet to sign an agreement launching the new Max...

  18. Centerfor Genome Bas Max Planck Institute for Molecular Genetics

    E-Print Network [OSTI]

    Spang, Rainer

    Be rlin Centerfor Genome Bas ed Bioinform a tics Max Planck Institute for Molecular Genetics109/209 and 01GR0455 of the German Federal Ministry of Education and Research. In addition X

  19. Centerfor Genome Bas Max Planck Institute for Molecular Genetics

    E-Print Network [OSTI]

    Spang, Rainer

    Be rlin Centerfor Genome Bas ed Bioinform a tics Max Planck Institute for Molecular Genetics of Education. 2 #12;Chapter 2 Implemented functions 2.1 twilight.pval: Testing effect sizes twilight

  20. LINEAR-PROGRAMMING DESIGN AND ANALYSIS OF FAST ALGORITHMS FOR MAX 2-CSP

    E-Print Network [OSTI]

    Scott, Alexander Alexander

    LINEAR-PROGRAMMING DESIGN AND ANALYSIS OF FAST ALGORITHMS FOR MAX 2-CSP ALEXANDER D. SCOTT AND GREGORY B. SORKIN Abstract. The class Max (r, 2)-CSP (or simply Max 2-CSP) consists of constraint(G) (13/75 + o(1))m, which gives a faster Max 2-CSP algorithm that uses exponential space: running in time

  1. Comparison of the percent recoveries of activated charcoal and Spherocarb after storage utilizing thermal desorption

    E-Print Network [OSTI]

    Stidham, Paul Emery

    1980-01-01T23:59:59.000Z

    between the two adsorbents. The parameters of storage in- cluded various durations of time, temperatures, and concentrations. Rather than the present conventional solvent desorption methods, thermal desorption was used in the analysis of samples... Duncan's Multiple Range Test For Variable Percent. 32 6 Mean Percent Recoveries For The Interaction Between Type Of Adsorbent And Storage Time . 7 Mean Percent Recoveries For The Interaction Between Sample Concentration And Storage Time. 39 40 8...

  2. Eigenvalues And Eigenvectors In The Max-Plus Algebra

    E-Print Network [OSTI]

    By Misoo; Misoo Chung; William E. Cherowitzo; David C. Fisher; David C. Fisher

    The max-plus algebra defined in the set ! [ f\\Gamma1g is an algebra with two binary operations \\Phi and\\Omega where a \\Phi b is the maximum of a and b, and a\\Omega b is the sum of a and b. These operations form a monoid-field (there is no inverse under \\Phi). This paper implements algorithms for solving linear systems and computing eigenvalues and eigenvectors including the first known polynomial-time algorithm for finding eigenvalues of matrices in the max-plus algebra. Analogs to the characteristic equation and the Cayley-Hamilton theorem are presented. This abstract accurately represents the content of the candidate's thesis. I recommend its publication. Signed David C. Fisher iii Contents 1 The Max-Plus Algebra 1 1.1 Matrix Multiplication in (! max ) n\\Thetan : : : : : : : : : : : : : : : : : 3 1.2 An Application : : : : : : : : : : : : : : : : : : : : : : : : : : : : 5 2 Systems of Linear Equations in (! max ) n 8 2.1 Solving Ax \\Phi b = Cx \\Phi d : : : : : : : : : : : ...

  3. PRESS RELEASES OF SENATOR PETE DOMENICI Domenici Supports 12 Percent Increase for Nuclear Energy, Disputes Fusion

    E-Print Network [OSTI]

    PRESS RELEASES OF SENATOR PETE DOMENICI Domenici Supports 12 Percent Increase for Nuclear Energy his support for a 12 percent increase in federal funding for nuclear energy research, but challenged of modern nuclear power plants. Domenici is chairman of the Energy and Water Development Appropriations

  4. Max-Plus Stochastic Control and Risk-Sensitivity

    SciTech Connect (OSTI)

    Fleming, Wendell H., E-mail: whf@dam.brown.ed [Brown University, Division of Applied Mathematics and Lefschetz Center for Dynamical Systems (United States); Kaise, Hidehiro, E-mail: kaise@is.nagoya-u.ac.j [Nagoya University, Graduate School of Information Science (Japan); Sheu, Shuenn-Jyi, E-mail: sheusj@math.sinica.edu.t [Academia Sinica, Institute of Mathematics (China)

    2010-08-15T23:59:59.000Z

    In the Maslov idempotent probability calculus, expectations of random variables are defined so as to be linear with respect to max-plus addition and scalar multiplication. This paper considers control problems in which the objective is to minimize the max-plus expectation of some max-plus additive running cost. Such problems arise naturally as limits of some types of risk sensitive stochastic control problems. The value function is a viscosity solution to a quasivariational inequality (QVI) of dynamic programming. Equivalence of this QVI to a nonlinear parabolic PDE with discontinuous Hamiltonian is used to prove a comparison theorem for viscosity sub- and super-solutions. An example from mathematical finance is given, and an application in nonlinear H-infinity control is sketched.

  5. DOE FY10_Svc_Cont_Inv 122910 v2 MAX.xlsx | Department of Energy

    Energy Savers [EERE]

    MAX.xlsx DOE FY10SvcContInv 122910 v2 MAX.xlsx More Documents & Publications Service Contract Inventory ClassWaiverWC-1982-001-FormerlyWA-1982-017.pdf...

  6. Guidelines for Residential Commissioning Craig Wray, Iain Walker, Max Sherman

    E-Print Network [OSTI]

    LBNL-48767 Guidelines for Residential Commissioning Craig Wray, Iain Walker, Max Sherman Berkeley, CA 94720 January 2003 This report describes work supported by the California Energy Commission-76SF00098. This report was prepared as a result of work sponsored by the California Energy Commission

  7. Water Quality for Livestock Max Irsik DVM, MAB

    E-Print Network [OSTI]

    Watson, Craig A.

    Water Quality for Livestock Max Irsik DVM, MAB Beef Cattle Extension Veterinarian University of Florida College of Veterinary Medicine Water is an essential nutrient for humans and livestock and drinking water is the primary source of water for most cattle. The most important aspect of water

  8. Iain S. Walker1 and Max H. Sherman1

    E-Print Network [OSTI]

    LBNL 50189 1 Iain S. Walker1 and Max H. Sherman1 Sealant Longevity for Residential Ducts Reference by LBNL is being used as a basis for an ASTM Standard under sub-committee E6.41. LBNL tests found sealants. LBNL has also tested advanced tape products being developed by major manufacturers. The results

  9. Curriculum Vitae Arne Max Erich Winguth, Ph.D.

    E-Print Network [OSTI]

    Winguth, Arne

    in an earth system model", two months summer salary, 2005. [9] Visiting Scientist, Max Planck Institute for Meteorology, Germany, "Development of marine carbon cycle in an earth system model", two months summer salary of marine carbon cycle in an earth system model", two months summer salary, 2003. [12] University

  10. Max Planck Society for the Advancement of Science

    E-Print Network [OSTI]

    Max Planck Society for the Advancement of Science Pressand features are hardly noticeable when the whole face is inverted (rotated 180°), but strikingly grotesque are still important. "Although we look at the eyes first our neural functions still grasp the whole picture

  11. Participants EWASS 2012 Symposium 2 Albertsson, T., Max-Planck-Institut fur Astronomie

    E-Print Network [OSTI]

    Hinton, Jim

    Occhiogrosso, A., University College London Parise, B., Max-Planck-Institut f¨ur Radioastronomie 1 #12;Pilbratt

  12. If I generate 20 percent of my national electricity from wind...

    Open Energy Info (EERE)

    generate 20 percent of my national electricity from wind and solar - what does it do to my GDP and Trade Balance ? Home I think that the economics of fossil fuesl are well...

  13. Absolute Percent Error Based Fitness Functions for Evolving Forecast Models AndyNovobilski,Ph.D.

    E-Print Network [OSTI]

    Fernandez, Thomas

    Absolute Percent Error Based Fitness Functions for Evolving Forecast Models Andy computfi~gas a methodof data mining,is its intrinsic ability to drive modelselection accordingto a mixedset of criteria. Basedon natural selection, evolutionary computing utilizes evaluationof candidatesolutions

  14. Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent...

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

    Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent of Total Electricity Production in Texas, April 2011 Impacts of Increasing Natural Gas Fueled CHP from 20 to 35...

  15. Effects of time constraint and percent defective on visual inspection performance

    E-Print Network [OSTI]

    Gilmore, Walter Edgar

    1982-01-01T23:59:59.000Z

    EFFECTS OF TIME CONSTRAINT AND PERCENT DEFECTIVE ON VISUAL INSPECTION PERFORMANCE A Thesis by WALTER EDGAR GILMORE II Submitted to the Graduate College of Texas ABM University in partial fulfillment of the requirement for the degree MASTER... OF SCIENCE August 1982 Major Subject: Industrial Engineering EFFECTS OF TIME CONSTRAINT AND PERCENT DEFECTIVE ON VISUAL INSPECTION PERFORMANCE A Thesis by WALTER EDGAR GILMORE II Approved as to sty1e and content by: Chairman of Committ e) (Memb r...

  16. System-level Max Power (SYMPO) -A Systematic Approach for Escalating System-level Power Consumption

    E-Print Network [OSTI]

    John, Lizy Kurian

    System-level Max Power (SYMPO) - A Systematic Approach for Escalating System-level Power a computer system for the worst case power consumption scenario, system architects often use hand-crafted max SYMPO, an automatic SYstem level Max POwer virus generation framework, which maximizes the power

  17. Sugar++: A SAT-Based MAX-CSP/COP Solver Tomoya Tanjo1

    E-Print Network [OSTI]

    Banbara, Mutsunori

    Sugar++: A SAT-Based MAX-CSP/COP Solver Tomoya Tanjo1 , Naoyuki Tamura2 , and Mutsunori Banbara2 1 describes some features of Sugar++, a SAT-based MAX- CSP/COP solver entering the Third International CSP Solver Competition. In our approach, a MAX-CSP is translated into a Constraint Optimization Problem (COP

  18. Max Tech and Beyond: Fluorescent Lamps

    SciTech Connect (OSTI)

    Scholand, Michael

    2012-04-01T23:59:59.000Z

    Fluorescent lamps are the most widely used artificial light source today, responsible for approximately 70% of the lumens delivered to our living spaces globally. The technology was originally commercialized in the 1930's, and manufacturers have been steadily improving the efficacy of these lamps over the years through modifications to the phosphors, cathodes, fill-gas, operating frequency, tube diameter and other design attributes. The most efficient commercially available fluorescent lamp is the 25 Watt T5 lamp. This lamp operates at 114-116 lumens per watt while also providing good color rendering and more than 20,000 hours of operating life. Industry experts interviewed indicated that while this lamp is the most efficient in the market today, there is still a further 10 to 14% of potential improvements that may be introduced to the market over the next 2 to 5 years. These improvements include further developments in phosphors, fill-gas, cathode coatings and ultraviolet (UV) reflective glass coatings. The commercialization of these technology improvements will combine to bring about efficacy improvements that will push the technology up to a maximum 125 to 130 lumens per watt. One critical issue raised by researchers that may present a barrier to the realization of these improvements is the fact that technology investment in fluorescent lamps is being reduced in order to prioritize research into light emitting diodes (LEDs) and ceramic metal halide high intensity discharge (HID) lamps. Thus, it is uncertain whether these potential efficacy improvements will be developed, patented and commercialized. The emphasis for premium efficacy will continue to focus on T5 lamps, which are expected to continue to be marketed along with the T8 lamp. Industry experts highlighted the fact that an advantage of the T5 lamp is the fact that it is 40% smaller and yet provides an equivalent lumen output to that of a T8 or T12 lamp. Due to its smaller form factor, the T5 lamp contains less material (i.e., glass, fill gas and phosphor), and has a higher luminance, enabling fixtures to take advantage of the smaller lamp size to improve the optics and provide more efficient overall system illuminance. In addition to offering the market a high-quality efficacious light source, another strong value proposition of fluorescent lighting is its long operating life. In today's market, one manufacturer is offering fluorescent lamps that have a rated life of 79,000 hours - which represents 18 years of service at 12 hours per day, 365 days per year. These lamps, operated using a long-life ballast specified by the manufacturer, take advantage of improvements in cathode coatings, fill gas chemistry and pressure to extend service life by a factor of four over conventional fluorescent lamps. It should be noted that this service life is also longer (approximately twice as long) as today's high-quality LED products. The fluorescent market is currently focused on the T5 and T8 lamp diameters, and it is not expected that other diameters would be introduced. Although T8 is a more optimal diameter from an efficacy perspective, the premium efficiency and optimization effort has been focused on T5 lamps because they are 40% smaller than T8, and are designed to operate at a higher temperature using high-frequency electronic ballasts. The T5 lamp offers savings in terms of materials, packaging and shipping, as well as smaller fixtures with improved optical performance. Manufacturers are actively researching improvements in four critical areas that are expected to yield additional efficacy improvements of approximately 10 to 14 percent over the next five years, ultimately achieving approximately 130 lumens per watt by 2015. The active areas of research where these improvements are anticipated include: (1) Improved phosphors which continue to be developed and patented, enabling higher efficacies as well as better color rendering and lumen maintenance; (2) Enhanced fill gas - adjusting proportions of argon, krypton, neon and xenon to optimize performance, while also m

  19. Elastic properties of superconducting MAX phases from first principles calculations

    E-Print Network [OSTI]

    I. R. Shein; A. L. Ivanovskii

    2010-06-03T23:59:59.000Z

    Using first-principles density functional calculations, a systematic study on the elastic properties for all known superconducting MAX phases (Nb2SC, Nb2SnC, Nb2AsC, Nb2InC, Mo2GaC and Ti2InC) was performed. As a result, the optimized lattice parameters, independent elastic constants, indicators of elastic anisotropy and brittle/ductile behavior as well as the so-called machinability indexis were calculated. We derived also bulk and shear moduli, Young's moduli, and Poisson's ratio for ideal polycrystalline MAX aggregates. The results obtained were discussed in comparison with available theoretical and experimental data and elastic parameters for other layered superconductors.

  20. Coal deposit characterization by gamma-gamma density/percent dry ash relationships

    E-Print Network [OSTI]

    Wright, David Scott

    1984-01-01T23:59:59.000Z

    Density/Ash Relationship . APPLICATION OF THE GAMMA-GAMMA DENSITY/PERCENT DRY ASH RELATIONSHIPS The Density/Ash Relationship of a South Texas Lignite Deposit Characterization of a South Texas Lignite Deposit CONCLUSIONS REFERENCES. 52 53 53 53... 58 64 67 6g 80 87 LIST OF TABLES TABLE I Coal Classification by Rank. 2 Common Minerals in Coal. 3 Results of Linear Regression Analyses for a South Texas Lignite Deposit. 4 Variability of Geophysica11y-Derived Percent Dry Ash Values...

  1. Percent of Commercial Natural Gas Deliveries in Vermont Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) YearPrice (Percent) Year

  2. Percent of Commercial Natural Gas Deliveries in Virginia Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) YearPrice (Percent)

  3. Percent of Commercial Natural Gas Deliveries in Wyoming Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) YearPricePrice (Percent)

  4. Table B29. Percent of Floorspace Cooled, Number of Buildings and Floorspace, 199

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWestQuantity of2".9. Percent of

  5. Table B30. Percent of Floorspace Lit When Open, Number of Buildings and Floorspa

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWestQuantity of2".9. Percent of.0.

  6. Percent of Industrial Natural Gas Deliveries in Oregon Represented by the

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

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

  7. have risen by about 15 percent. These increases, which tend to remain in the atmo-

    E-Print Network [OSTI]

    States emitted 25 percent of the total global greenhouse gases. The largest contributors are electricity Warming Trend: How Climate Change Could Affect the Northwest W hile the debate over global warming global temperatures, that the earth is warm- ing. Over the last 100 years, the earth's average

  8. Microstructural Evolution During Laser Resolidification of Fe-25 Atom Percent Ge Alloy

    E-Print Network [OSTI]

    Srivastava, Kumar Vaibhav

    selection is discussed using competitive growth kinetics. I. INTRODUCTION TECHNIQUES of rapidly melting the process of laser resolidification. Third, the inti- mate contact of the surface-melted layerMicrostructural Evolution During Laser Resolidification of Fe-25 Atom Percent Ge Alloy KRISHANU

  9. POLICY STATEMENT ON PERCENT SALARY FOR PRINCIPAL INVESTIGATORS PAID EXCLUSIVELY FROM FEDERAL AWARDS

    E-Print Network [OSTI]

    Tsien, Roger Y.

    POLICY STATEMENT ON PERCENT SALARY FOR PRINCIPAL INVESTIGATORS PAID EXCLUSIVELY FROM FEDERAL AWARDS awards, including federal flow through-funding. This Policy applies to all Principal Investigators whose salary is derived entirely from federal awards. This Policy does not apply to Principal Investigators who

  10. Reliability of Bioelectrical Impedance Analysis for Estimating Whole-Fish Energy Density and Percent Lipids

    E-Print Network [OSTI]

    Reliability of Bioelectrical Impedance Analysis for Estimating Whole-Fish Energy Density impedance analysis (BIA) as a nonlethal means of predicting energy density and percent lipids for three fish. Although models that combined BIA measures with fish wet mass provided strong predictions of total energy

  11. The Max Tech and Beyond Competition | Department of Energy

    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 onYouTube YouTube Note: Since the.pdfBreakingMayDepartmentTest for PumpingThe Facts on GasThe Importance TheThe Max Tech

  12. SolarMax Technology Inc | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with form HistoryRistmaSinosteelSolar Energy sroWiki Page SolarSolarMax

  13. Property:Incentive/MaxInc | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal PwerPerkins County, Nebraska:PrecourtOid JumpEligSysSize Jump to: navigation, searchFundSrcMaxInc

  14. MaxWeber,"ScienceasaVocation" 'WissenschaftalsBeruf,'fromGesammlteAufsaetzezurWissenschaftslehre(Tubingen,

    E-Print Network [OSTI]

    Goldreich, Oded

    MaxWeber,"ScienceasaVocation" 'Wissenschaftals a sort of moral right to expect some consideration. He also #12;Weber,"ScienceasVocation" 2

  15. a min-max regret robust optimization approach for large scale full ...

    E-Print Network [OSTI]

    admin

    2007-07-20T23:59:59.000Z

    the full-factorial scenario design of data uncertainty. The proposed algorithm is shown to be efficient for solving large-scale min-max regret robust optimization ...

  16. Comparison of analytical methods for percent phosphorus determination in electroless nickel plate

    SciTech Connect (OSTI)

    Owens, W.W.; Sullivan, H.H.

    1982-08-13T23:59:59.000Z

    This report presents the results of the evaluation of five analytical methods for percent phosphorus determination and makes recommendations for the use of common methods to provide accurate and precise results in the field. The analytical methods are: (1) ASTM-E39 gravimetric method; (2) development colorimetric method; (3) independent colorimetric method; (4) UCC-ND alkalimetric method; (5) UCC-ND inductively coupled plasma method. Analysis of the data indicates the concentration of phosphorus in the electroless nickel plate sample to be approximately 12.1%. All of the methods evaluated demonstrated the capability of determining percent phosphorus accurately through the accumulation of a large number of readings. The primary difference among the methods is the precision capabilites of individual tests. 3 figures, 6 tables.

  17. Min-max redundancy resolution for a mobile manipulator

    SciTech Connect (OSTI)

    Reister, D.B.

    1996-02-01T23:59:59.000Z

    We have considered the problem of determining the values of the joint variables of a mobile manipulator with many redundant degrees of freedom that will minimize an objective function when the position and orientation of the end of the manipulator are given. The objective function is the weighted sum of three components: distance, torque, and reach. Each of the three components is a max or min. We have converted the min-max optimization problem into a nonlinear programming problem and used the Kuhn-Tucker conditions to derive necessary conditions for the optimum solutions. The necessary conditions require that one or more of each of the three sets (distance, torque, and reach) of nonnegative Lagrange multipliers must be positive. If one of the Lagrange multipliers is positive, the corresponding slack variable must be zero. When two or more of the Lagrange multipliers from a single set are positive, the slack variables place constraints on the joint variables. Specification of the Cartesian position and orientation of the end of the arm also places constraints on the joint variables. If the mobile manipulator has N degrees of freedom and the total number of constraints is M, the constraints define a manifold of dimensions N - M. When N = M, the dimension of the manifold is zero (it consists of isolated points). When N > M, a search of the manifold may yield a submanifold that maximizes the Lagrangian function. We discuss examples where the number of slack variable constraints (M) is two or more.

  18. Cosmological Constraints from the SDSS maxBCG Cluster Catalog

    SciTech Connect (OSTI)

    Rozo, Eduardo; /CCAPP; Wechsler, Risa H.; /KIPAC, Menlo Park /SLAC; Rykoff, Eli S.; /UC, Santa Barbara; Annis, James T.; /Fermilab; Becker, Matthew R.; /Chicago U. /KICP, Chicago; Evrard, August E.; /Michigan U. /Michigan U., MCTP; Frieman, Joshua A.; /Fermilab /KICP, Chicago /Chicago U.; Hansen, Sarah M.; /UC, Santa Cruz; Hao, Jia; /Michigan U.; Johnston, David E.; /Northwestern U.; Koester, Benjamin P.; /KICP, Chicago /Chicago U.; McKay, Timothy A.; /Michigan U. /Michigan U., MCTP; Sheldon, Erin S.; /Brookhaven; Weinberg, David H.; /CCAPP /Ohio State U.

    2009-08-03T23:59:59.000Z

    We use the abundance and weak lensing mass measurements of the SDSS maxBCG cluster catalog to simultaneously constrain cosmology and the richness-mass relation of the clusters. Assuming a flat {Lambda}CDM cosmology, we find {sigma}{sub 8}({Omega}{sub m}/0.25){sup 0.41} = 0.832 {+-} 0.033 after marginalization over all systematics. In common with previous studies, our error budget is dominated by systematic uncertainties, the primary two being the absolute mass scale of the weak lensing masses of the maxBCG clusters, and uncertainty in the scatter of the richness-mass relation. Our constraints are fully consistent with the WMAP five-year data, and in a joint analysis we find {sigma}{sub 8} = 0.807 {+-} 0.020 and {Omega}{sub m} = 0.265 {+-} 0.016, an improvement of nearly a factor of two relative to WMAP5 alone. Our results are also in excellent agreement with and comparable in precision to the latest cosmological constraints from X-ray cluster abundances. The remarkable consistency among these results demonstrates that cluster abundance constraints are not only tight but also robust, and highlight the power of optically-selected cluster samples to produce precision constraints on cosmological parameters.

  19. Living and working in Germany A guide for international scientists at Max Planck Institutes

    E-Print Network [OSTI]

    Living and working in Germany A guide for international scientists at Max Planck Institutes #12 and the hospitality in your town. You will quickly find that Germany is a country of many facets ­ a country Planck Society is Germany's most successful scientific or- ganisation in basic research. Max Planck

  20. The Max Planck Society At home in Germany -present throughout the world

    E-Print Network [OSTI]

    1 The Max Planck Society At home in Germany - present throughout the world Internationalisation ­ the Max Planck Society's role in safeguarding Germany's future Cooperation across national borders is one the internationalisation of science, both on its own behalf and also on behalf of Germany as a research location. To do

  1. Does Mixing Make Residential Ventilation More Effective? Max Sherman, Iain Walker

    E-Print Network [OSTI]

    Does Mixing Make Residential Ventilation More Effective? Max Sherman, Iain Walker Environmental thereof or the Regents of the University of California. #12;Does Mixing Make Residential Ventilation More Effective? Max Sherman and Iain Walker, Lawrence Berkeley Lab ABSTRACT Ventilation dilutes or removes indoor

  2. IEEE TRANSACTIONS ON AUTOMATIC CONTROL 1 Max-Plus Control Design for Temporal Constraints

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    constraints, timed event graph (TEG). I. INTRODUCTION Many manufacturing systems are subject to tight time with Timed Event Graphs (TEG), that permit to take time constraints explicitely into account. The problem). As is well-known from [5], TEG give rise to Max-Plus algebraic models, which are linear over the dioid max

  3. The use and misuse of Vc,max in Earth System Models Alistair Rogers

    E-Print Network [OSTI]

    Ohta, Shigemi

    REVIEW The use and misuse of Vc,max in Earth System Models Alistair Rogers Received: 18 November Dordrecht (outside the USA) 2013 Abstract Earth System Models (ESMs) aim to project global change. Central Á Vc,max Á Leaf nitrogen Á Earth System Models Introduction The primary goal of Earth System Models

  4. 07. September 2007 Julia Ducke 1 Max-Planck-Institut fr

    E-Print Network [OSTI]

    07. September 2007 Julia Ducke 1 Max-Planck-Institut für Mikrostrukturphysik HalleWeb 2.0-Workshop Wiki Erfahrungen mit Web 2.0 Erfahrungsbericht aus der Bibliothek des MPI für Mikrostrukturphysik #12;07. September 2007 Julia Ducke 2 Max-Planck-Institut für Mikrostrukturphysik HalleWeb 2.0-Workshop #12

  5. Efficient SIMD technique with parallel Max-Log-MAP Algorithm for Turbo Decoders

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Efficient SIMD technique with parallel Max-Log-MAP Algorithm for Turbo Decoders David Gnaedig Turbo on a DSP a parallel Max-Log-MAP algorithm for turbo decoders. It consists in using SIMD instructions by the use of an adapted two-dimensional turbo code and its parallel interleaver structure. After a brief

  6. Max-min Fair Rate Allocation and Routing in Energy Harvesting Networks: Algorithmic Analysis

    E-Print Network [OSTI]

    Hone, James

    Max-min Fair Rate Allocation and Routing in Energy Harvesting Networks: Algorithmic Analysis Jelena@ee}.columbia.edu ABSTRACT This paper considers max-min fair rate allocation and rout- ing in energy harvesting networks energy profile and focus on the design of efficient and opti- mal algorithms that can serve as benchmarks

  7. Method to produce alumina aerogels having porosities greater than 80 percent

    DOE Patents [OSTI]

    Poco, John F.; Hrubesh, Lawrence W.

    2003-09-16T23:59:59.000Z

    A two-step method for producing monolithic alumina aerogels having porosities of greater than 80 percent. Very strong, very low density alumina aerogel monoliths are prepared using the two-step sol-gel process. The method of preparing pure alumina aerogel modifies the prior known sol method by combining the use of substoichiometric water for hydrolysis, the use of acetic acid to control hydrolysis/condensation, and high temperature supercritical drying, all of which contribute to the formation of a polycrystalline aerogel microstructure. This structure provides exceptional mechanical properties of the alumina aerogel, as well as enhanced thermal resistance and high temperature stability.

  8. Percent of Commercial Natural Gas Deliveries in Florida Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21YearThousandthePrice (Percent)

  9. Percent of Commercial Natural Gas Deliveries in Indiana Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar Apr May Jun

  10. Percent of Commercial Natural Gas Deliveries in Iowa Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar Apr May

  11. Percent of Commercial Natural Gas Deliveries in Kansas Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar Apr MayPrice

  12. Percent of Commercial Natural Gas Deliveries in Kentucky Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar Apr

  13. Percent of Commercial Natural Gas Deliveries in Maine Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar Aprthe

  14. Percent of Commercial Natural Gas Deliveries in Maryland Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar AprthePrice

  15. Percent of Commercial Natural Gas Deliveries in Michigan Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb MarPrice

  16. Percent of Commercial Natural Gas Deliveries in Missouri Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb

  17. Percent of Commercial Natural Gas Deliveries in Montana Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan FebPrice

  18. Percent of Commercial Natural Gas Deliveries in Nebraska Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan FebPricePrice

  19. Percent of Commercial Natural Gas Deliveries in Nevada Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan FebPricePricePrice

  20. Percent of Commercial Natural Gas Deliveries in New Jersey Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan

  1. Percent of Commercial Natural Gas Deliveries in New Mexico Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Janthe Price

  2. Percent of Commercial Natural Gas Deliveries in New York Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Janthe PricePrice

  3. Percent of Commercial Natural Gas Deliveries in North Dakota Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Janthe PricePriceby

  4. Percent of Commercial Natural Gas Deliveries in Ohio Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Janthe PricePricebyPrice

  5. Percent of Commercial Natural Gas Deliveries in Oklahoma Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Janthe

  6. Percent of Commercial Natural Gas Deliveries in Oregon Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year JanthePrice

  7. Percent of Commercial Natural Gas Deliveries in Rhode Island Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year JanthePricethe Pricethe

  8. Percent of Commercial Natural Gas Deliveries in South Dakota Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year JanthePricethethe Price

  9. Percent of Commercial Natural Gas Deliveries in Texas Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year JanthePricethethePrice

  10. Percent of Commercial Natural Gas Deliveries in Utah Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year

  11. Table B28. Percent of Floorspace Heated, Number of Buildings and Floorspace, 199

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWestQuantity of2".

  12. Percent of Commercial Natural Gas Deliveries in Illinois Represented by the

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

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

  13. Percent of Commercial Natural Gas Deliveries in Indiana Represented by the

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

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

  14. Percent of Commercial Natural Gas Deliveries in Iowa Represented by the

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

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

  15. Percent of Commercial Natural Gas Deliveries in Kentucky Represented by the

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

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

  16. Percent of Commercial Natural Gas Deliveries in New Jersey Represented by

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

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

  17. Percent of Commercial Natural Gas Deliveries in New York Represented by the

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

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

  18. Percent of Commercial Natural Gas Deliveries in South Dakota Represented by

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

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

  19. Percent of Industrial Natural Gas Deliveries in Arizona Represented by the

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

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

  20. Percent of Industrial Natural Gas Deliveries in Colorado Represented by the

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

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

  1. Percent of Industrial Natural Gas Deliveries in Colorado Represented by the

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

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

  2. Percent of Industrial Natural Gas Deliveries in Delaware Represented by the

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

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

  3. Percent of Industrial Natural Gas Deliveries in Illinois Represented by the

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

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

  4. Percent of Industrial Natural Gas Deliveries in Illinois Represented by the

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

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

  5. Percent of Industrial Natural Gas Deliveries in Indiana Represented by the

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

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

  6. Percent of Industrial Natural Gas Deliveries in Indiana Represented by the

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

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

  7. Percent of Industrial Natural Gas Deliveries in Iowa Represented by the

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

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

  8. Percent of Industrial Natural Gas Deliveries in Iowa Represented by the

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

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

  9. Percent of Industrial Natural Gas Deliveries in Kansas Represented by the

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

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

  10. Percent of Industrial Natural Gas Deliveries in Kentucky Represented by the

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

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

  11. Percent of Industrial Natural Gas Deliveries in Kentucky Represented by the

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

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

  12. Percent of Industrial Natural Gas Deliveries in Maine Represented by the

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

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

  13. Percent of Industrial Natural Gas Deliveries in Maryland Represented by the

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

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

  14. Percent of Industrial Natural Gas Deliveries in Maryland Represented by the

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

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

  15. Percent of Industrial Natural Gas Deliveries in Nevada Represented by the

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

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

  16. Percent of Industrial Natural Gas Deliveries in New Jersey Represented by

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

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

  17. Percent of Industrial Natural Gas Deliveries in New Jersey Represented by

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

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

  18. Percent of Industrial Natural Gas Deliveries in New Mexico Represented by

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

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

  19. Percent of Industrial Natural Gas Deliveries in New Mexico Represented by

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

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

  20. Percent of Industrial Natural Gas Deliveries in New York Represented by the

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

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

  1. Percent of Industrial Natural Gas Deliveries in New York Represented by the

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

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

  2. Percent of Industrial Natural Gas Deliveries in North Dakota Represented by

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

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

  3. Percent of Industrial Natural Gas Deliveries in North Dakota Represented by

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

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

  4. Percent of Industrial Natural Gas Deliveries in Ohio Represented by the

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

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

  5. Percent of Industrial Natural Gas Deliveries in Ohio Represented by the

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

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

  6. Percent of Industrial Natural Gas Deliveries in Oklahoma Represented by the

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

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

  7. Percent of Industrial Natural Gas Deliveries in Oklahoma Represented by the

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

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

  8. Percent of Industrial Natural Gas Deliveries in Oregon Represented by the

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

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

  9. Percent of Industrial Natural Gas Deliveries in Rhode Island Represented by

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

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

  10. Percent of Industrial Natural Gas Deliveries in Rhode Island Represented by

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

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

  11. Percent of Industrial Natural Gas Deliveries in South Dakota Represented by

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

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

  12. Percent of Industrial Natural Gas Deliveries in South Dakota Represented by

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

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

  13. Percent of Industrial Natural Gas Deliveries in Texas Represented by the

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

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

  14. Percent of Industrial Natural Gas Deliveries in Texas Represented by the

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

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

  15. Percent of Industrial Natural Gas Deliveries in Utah Represented by the

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

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

  16. Percent of Industrial Natural Gas Deliveries in Vermont Represented by the

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

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

  17. Percent of Industrial Natural Gas Deliveries in Vermont Represented by the

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

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

  18. Percent of Industrial Natural Gas Deliveries in Virginia Represented by the

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

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

  19. Percent of Industrial Natural Gas Deliveries in Virginia Represented by the

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

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

  20. Percent of Industrial Natural Gas Deliveries in Wyoming Represented by the

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

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

  1. Percent of Industrial Natural Gas Deliveries in Wyoming Represented by the

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

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

  2. U.S. Parking Facilities Cut Energy Use by 90 Percent, Switch 270 Million

    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 onYouTube YouTube Note: Since the.pdfBreakingMayDepartmentTestFeedEnergy Navy Moanalua TerracePercent | Department

  3. Stability trends of MAX phases from first principles

    SciTech Connect (OSTI)

    Dahlqvist, M.; Alling, B.; Rosen, J. [Department of Physics, Chemistry, and Biology, IFM, Linkoeping University, SE-581 83 Linkoeping (Sweden)

    2010-06-01T23:59:59.000Z

    We have developed a systematic method to investigate the phase stability of M{sub n+1}AX{sub n} phases, here applied for M=Sc, Ti, V, Cr, or Mn, A=Al, and X=C or N. Through a linear optimization procedure including all known competing phases, we identify the set of most competitive phases for n=1-3 in each system. Our calculations completely reproduce experimental occurrences of stable MAX phases. We also identify and suggest an explanation for the trend in stability as the transition metal is changed across the 3d series for both carbon- and nitrogen-based systems. Based on our results, the method can be used to predict stability of potentially existing undiscovered phases.

  4. Bringing ATLAS production to HPC resources - A use case with the Hydra supercomputer of the Max Planck Society

    E-Print Network [OSTI]

    Kluth, Stefan; The ATLAS collaboration; Mazzaferro, Luca; Walker, Rodney

    2015-01-01T23:59:59.000Z

    Bringing ATLAS production to HPC resources - A use case with the Hydra supercomputer of the Max Planck Society

  5. An estimated one of every six households (16.2 percent) in Texas lives in poverty. Research has

    E-Print Network [OSTI]

    Relevance An estimated one of every six households (16.2 percent) in Texas lives in poverty. Research has shown that individuals who live in poverty have dietary intakes that are not in agreement

  6. Analysis of farm-to-retail price spreads for whole and two percent milk in seven selected cities

    E-Print Network [OSTI]

    Dickerson, Marla Lashea

    2004-09-30T23:59:59.000Z

    of transmission for whole milk was from 0.37 (Hartford) to 2.54 (Dallas) and from 0.39 (Hartford) to 3.66 (Dallas) for two percent milk....

  7. A correlation of water solubility in jet fuels with API gravity: aniline point percent aromatics, and temperature.

    E-Print Network [OSTI]

    Byington, Alonzo

    1964-01-01T23:59:59.000Z

    A CORRELATION OF WATER SOLUBILITY IN JET FUELS WITH API GRAVITY, ANILINE POINT PERCENT AROMATICS, AND TEMPERATURE A Thesis By ALONZO B YINGTON Submitted to the Graduate College of Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE January, 1964 Major Subject: Petroleum Engineering A CORRELATION OF MATER SOLUBILITT IH JET FUELS WITS API GEAVITT, ANILINE POINT, PERCENT ARONATICS, AND TENPERATURE A Thesis By ALOHZO BYIHGTOH Approved...

  8. Keynote speakers Susan E. Trumbore -Max-Planck-Institute for Biogeochemistry Jena, Germany

    E-Print Network [OSTI]

    Daniel, Rosenfeld

    Keynote speakers Susan E. Trumbore - Max-Planck-Institute for Biogeochemistry Jena, Germany http for Landscape Biogeochemistry, Germany http://www.arthur-gessler.de/ PhillippeTortell, University of British

  9. An Approximation Algorithm for Max-Min Fair Allocation of Indivisible Goods

    E-Print Network [OSTI]

    Saberi, Amin

    Saberi Abstract In this paper, we give the first approximation algorithm for the problem of max-min fair 94305. Email:{asadpour,saberi}@stanford.edu. 1 #12;1 Introduction Fair division, also known as the cake

  10. A Connectionist model of Planning via Back-chaining Search Max Garagnani

    E-Print Network [OSTI]

    Shastri, Lokendra

    A Connectionist model of Planning via Back-chaining Search Max Garagnani Department of Computing+1 World state ObservableEpisodic Memory ECALL Figure 1: A block diagram showing the basic compo

  11. The NanoMax-TSTM three-axis stage offers an unmatched combination of

    E-Print Network [OSTI]

    Kik, Pieter

    555 Spacer Block to Raise Optical- Axis Height to 125-mm 17 AMA 554 ©2002 MELLES GRIOT MCE 1042 03 holes threaded M2 on 20 centers dimensions: millimeters 17 MAX 302 3-axis stage MELLES GRIOT

  12. Volume Comparison

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial and InstitutionalArea:Mnt(N)3.1.Liquids ReserveVolume

  13. Over 30{percent} efficient InGaP/GaAs tandem solar cells

    SciTech Connect (OSTI)

    Takamoto, T.; Ikeda, E.; Kurita, H. [Central Research Laboratory, Japan Energy Corporation, 3-17-35 Niizo-Minami, Toda, Saitama 335 (Japan)] [Central Research Laboratory, Japan Energy Corporation, 3-17-35 Niizo-Minami, Toda, Saitama 335 (Japan); Ohmori, M. [Japan Energy Research Center Company, Ltd., 1-11-9 Azabudai, Minato-ku, Tokyo 106 (Japan)] [Japan Energy Research Center Company, Ltd., 1-11-9 Azabudai, Minato-ku, Tokyo 106 (Japan)

    1997-01-01T23:59:59.000Z

    A two-terminal monolithic InGaP/GaAs tandem solar cell with a new efficiency record of 30.28{percent} is realized with a practical large area of 4 cm{sup 2} under one-sun air-mass 1.5 global illumination. We report improvements of the tandem cell performance by introducing a double-hetero (hereafter DH) structure InGaP tunnel junction, in which the InGaP layers are surrounded by high band gap AlInP barriers. The DH structure by AlInP barriers increase the peak current of InGaP tunnel junction. The AlInP barrier directly below the InGaP top cell, which takes the part of a back surface field (hereafter BSF) layer, is found to be considerably effective in reflecting minority carriers in the top cell. The AlInP BSF layer does not only form a high potential barrier but also prevents the diffusion of zinc from a high doped tunnel junction toward the top cell during epitaxial growth. Furthermore, an InGaP tunnel junction reduces the absorption loss, which exists in a GaAs tunnel junction, and increases the photogenerated current in the GaAs bottom cell. {copyright} {ital 1997 American Institute of Physics.}

  14. CleanFleet. Volume 2, Project Design and Implementation

    SciTech Connect (OSTI)

    NONE

    1995-12-01T23:59:59.000Z

    The CleanFleet alternative fuels demonstration project evaluated five alternative motorfuels in commercial fleet service over a two-year period. The five fuels were compressed natural gas, propane gas, California Phase 2 reformulated gasoline (RFG), M-85 (85 percent methanol and 15 percent RFG), and electric vans. Eight-four vans were operated on the alternative fuels and 27 vans were operated on gasoline as baseline controls. Throughout the demonstration information was collected on fleet operations, vehicle emissions, and fleet economics. In this volume of the CleanFleet findings, the design and implementation of the project are summarized.

  15. Standard test method for atom percent fission in uranium and plutonium fuel (Neodymium-148 Method)

    E-Print Network [OSTI]

    American Society for Testing and Materials. Philadelphia

    1996-01-01T23:59:59.000Z

    1.1 This test method covers the determination of stable fission product 148Nd in irradiated uranium (U) fuel (with initial plutonium (Pu) content from 0 to 50 %) as a measure of fuel burnup (1-3). 1.2 It is possible to obtain additional information about the uranium and plutonium concentrations and isotopic abundances on the same sample taken for burnup analysis. If this additional information is desired, it can be obtained by precisely measuring the spike and sample volumes and following the instructions in Test Method E267. 1.3 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety and health practices and determine the applicability of regulatory limitations prior to use.

  16. Measuring the mean and scatter of the X-ray luminosity -- optical richness relation for maxBCG galaxy clusters

    E-Print Network [OSTI]

    E. S. Rykoff; T. A. McKay; M. R. Becker; A. Evrard; D. E. Johnston; B. P. Koester; E. Rozo; E. S. Sheldon; R. H. Wechsler

    2007-12-05T23:59:59.000Z

    Determining the scaling relations between galaxy cluster observables requires large samples of uniformly observed clusters. We measure the mean X-ray luminosity--optical richness (L_X--N_200) relation for an approximately volume-limited sample of more than 17,000 optically-selected clusters from the maxBCG catalog spanning the redshift range 0.1

  17. Using a MaxEnt Classifier for the Automatic Content Scoring of Free-Text Responses

    SciTech Connect (OSTI)

    Sukkarieh, Jana Z. [Educational Testing Service, Rosedale Road, Princeton NJ 08541 (United States)

    2011-03-14T23:59:59.000Z

    Criticisms against multiple-choice item assessments in the USA have prompted researchers and organizations to move towards constructed-response (free-text) items. Constructed-response (CR) items pose many challenges to the education community - one of which is that they are expensive to score by humans. At the same time, there has been widespread movement towards computer-based assessment and hence, assessment organizations are competing to develop automatic content scoring engines for such items types - which we view as a textual entailment task. This paper describes how MaxEnt Modeling is used to help solve the task. MaxEnt has been used in many natural language tasks but this is the first application of the MaxEnt approach to textual entailment and automatic content scoring.

  18. Advances in Lung Volume

    E-Print Network [OSTI]

    Jones, Michelle

    Advances in Lung Volume Reduction Surgery The Ohio University Medical Center Lung Volume Reduction LungVolumeReductionSurgery Spring 2010 © 2010 The Ohio State University Medical Center ­ 04 Consult Ohio State's #12;The Ohio State University Medical Center Lung Volume Reduction Surgery Patient

  19. MaxNet: Faster Flow Control Convergence Bartek P. Wydrowski, Lachlan L. H. Andrew, Iven M. Y. Mareels.

    E-Print Network [OSTI]

    Andrew, Lachlan

    MaxNet: Faster Flow Control Convergence Bartek P. Wydrowski, Lachlan L. H. Andrew, Iven M. Y of Melbourne, Vic, 3010, Australia Ph. +61 3 8344 3816 Fax. +61 3 8344 6678 Abstract. MaxNet is a distributed generates the congestion signal that controls the source rate. This is unlike SumNet networks

  20. High-performance, high-volume fly ash concrete

    SciTech Connect (OSTI)

    NONE

    2008-01-15T23:59:59.000Z

    This booklet offers the construction professional an in-depth description of the use of high-volume fly ash in concrete. Emphasis is placed on the need for increased utilization of coal-fired power plant byproducts in lieu of Portland cement materials to eliminate increased CO{sub 2} emissions during the production of cement. Also addressed is the dramatic increase in concrete performance with the use of 50+ percent fly ash volume. The booklet contains numerous color and black and white photos, charts of test results, mixtures and comparisons, and several HVFA case studies.

  1. CleanFleet. Final report: Volume 1, summary

    SciTech Connect (OSTI)

    NONE

    1995-12-01T23:59:59.000Z

    The South Coast Alternative Fuels Demonstration, called CleanFleet, was conducted in the Los Angeles area from April 1992 through September 1994. The demonstration consisted of 111 package delivery vans operating on five alternative fuels and the control fuel, unleaded gasoline. The alternative fuels were propane gas, compressed natural gas, California Phase 2 reformulated gasoline (RFG), methanol with 15 percent RFG (called M-85), and electricity. This volume of the eight volume CleanFleet final report is a summary of the project design and results of the analysis of data collected during the demonstration on vehicle maintenance and durability, fuel economy, employee attitudes, safety and occupational hygiene, emissions, and fleet economics.

  2. Social science in forestry Paul Tabbush, Liz O'Brien, Max Hislop and Suzanne Martin

    E-Print Network [OSTI]

    Social science in forestry Paul Tabbush, Liz O'Brien, Max Hislop and Suzanne Martin The Social on the idea that sustainable forestry, derived from the 1993 Helsinki Conference, is the result of economic development that is positive in its implications for the environment and for society (Forestry Commission

  3. A Power-Law Formulation of Laminar Flow in Short Pipes Max Sherman

    E-Print Network [OSTI]

    A Power-Law Formulation of Laminar Flow in Short Pipes Max Sherman Indoor Environment Program ABSTRACT This report develops a theoretical description of the hydrodynamic relationship based on a power pipes can be described with a simple power law dependence on pressure, but that the exponent

  4. MinMax Control of LQ Systems under the H1 Norm Constraint

    E-Print Network [OSTI]

    Ito, Satoshi

    ** Abstract: Satisfactory optimal control of linear systems under the existence of distur­ bance is studiedMin­Max Control of LQ Systems under the H1 Norm Constraint Kiyotaka Shimizu* and Satoshi Ito. The satisfactory optimal control minimizes a quadratic maximal­valued objective functional subject to the H1 norm

  5. Bayesian Learning via Stochastic Gradient Langevin Dynamics Max Welling welling@ics.uci.edu

    E-Print Network [OSTI]

    Kaski, Samuel

    Bayesian Learning via Stochastic Gradient Langevin Dynamics Max Welling welling@ics.uci.edu D. Bren on iterative learning from small mini-batches. By adding the right amount of noise to a standard stochastic" and collects sam- ples after it has been surpassed. We apply the method to three models: a mixture of Gaussians

  6. Ventilation Requirements in Hot Humid Iain S. Walker and Max H. Sherman

    E-Print Network [OSTI]

    LBNL-59889 Ventilation Requirements in Hot Humid Climates Iain S. Walker and Max H. Sherman residential ventilation standard, ASHRAE Standard 62.2. Meeting this standard in new construction requires the use of mechanical ventilation, which in turn can often significantly increase the latent load faced

  7. HEAT RECOVERY IN BUILDING ENVELOPES Max H. Sherman and Iain S. Walker

    E-Print Network [OSTI]

    1 LBNL 47329 HEAT RECOVERY IN BUILDING ENVELOPES Max H. Sherman and Iain S. Walker Energy formula may produce an unreasonably high contribution because of heat recovery within the building physical model has been developed and used to predict the infiltration heat recovery based on the Peclet

  8. Efficient Cross-Layer Negotiation Max Planck Institute for Software Systems

    E-Print Network [OSTI]

    Ford, Bryan

    Efficient Cross-Layer Negotiation Bryan Ford Max Planck Institute for Software Systems baford toward a more evolvable Internet. 1. INTRODUCTION The Internet's power and generality rests on its archi-studied [4, 5, 16]. Layering connection-oriented protocols can also increase connection setup delay, however

  9. AmbiMax: Autonomous Energy Harvesting Platform for Multi-Supply Wireless Sensor Nodes

    E-Print Network [OSTI]

    Chou, Pai H.

    of multiple energy harvesting sources including solar, wind, thermal, and vibration, each with a different as the operating lifetime. Unfortunately, Fig. 1. Photo of AmbiMax Hardware with a Solar Panel, Wind Generator power efficiently. As a result, they must use a much larger solar panel than necessary to yield the same

  10. Large-Scale Patent Classification with Min-Max Modular Support Vector Machines

    E-Print Network [OSTI]

    Lu, Bao-Liang

    Large-Scale Patent Classification with Min-Max Modular Support Vector Machines Xiao-Lei Chu, Chao Ma, Jing Li, Bao-Liang Lu Senior Member, IEEE, Masao Utiyama, and Hitoshi Isahara Abstract-- Patent-world patent classification typically exceeds one million, and this number increases every year. An effective

  11. Adaptation of Organizational Models for Multi-Agent Systems based on Max Flow Networks

    E-Print Network [OSTI]

    López-Sánchez, Maite

    Adaptation of Organizational Models for Multi-Agent Systems based on Max Flow Networks Mark Amsterdam, The Netherlands mhoogen@cs.vu.nl http://www.cs.vu.nl/~mhoogen Abstract Organizational models of the organizational model can be essential to ensure a continuous success- ful function of the system. This paper

  12. Prediction of Protein Subcellular Multi-locations with a Min-Max Modular

    E-Print Network [OSTI]

    Lu, Bao-Liang

    -location problem. In addition, there are a large portion of proteins lack the information like GO and FunPrediction of Protein Subcellular Multi-locations with a Min-Max Modular Support Vector Machine subcellular multi-locations of proteins with machine learning techniques is a challenging problem

  13. Special Publication 800-127 Guide to Securing WiMAX

    E-Print Network [OSTI]

    Padgette of Booz Allen Hamilton. The authors would also like to thank the WiMAX Forum of the National Institute of Standards and Technology (NIST) and Cyrus Tibbs and Matthew Sexton of Booz Allen Hamilton, wish to thank their colleagues who reviewed drafts of this document and contributed to its

  14. DARK MATTER AND DARK ENERGY AS EFFECTS OF QUANTUM GRAVITY Max I. Fomitchev1

    E-Print Network [OSTI]

    Giles, C. Lee

    DARK MATTER AND DARK ENERGY AS EFFECTS OF QUANTUM GRAVITY Max I. Fomitchev1 Submitted March 12th of high matter density expected in the early Universe I show that primordial inflation and dark energy (i , 2004 ABSTRACT I present a theory of quantum gravity based on the principle of gravitational energy

  15. High Speed Max-Log-MAP Turbo SISO Decoder Implementation Using Branch Metric Normalization

    E-Print Network [OSTI]

    Arslan, Tughrul

    High Speed Max-Log-MAP Turbo SISO Decoder Implementation Using Branch Metric Normalization J. H.Erdogan@ee.ed.ac.uk, Tughrul.Arslan@ee.ed.ac.uk Abstract The authors present a turbo soft-in soft-out (SISO) decoder based. The turbo decoder with the proposed technique has been synthesized to evaluate its power consumption

  16. Virtual Test Tubes: A New Methodology for Computing Max Garzon, Evan Drumwright

    E-Print Network [OSTI]

    Deaton, Russell J.

    with conventional solid-state based computers. Here, we explore an alter- native approach to exploiting and complexity, comparing it with the standard symbolic-based solid-state approach. It is becoming increasinglyVirtual Test Tubes: A New Methodology for Computing Max Garzon, Evan Drumwright Computer Science

  17. Max-Weight Scheduling in Queueing Networks With Heavy-Tailed Traffic

    E-Print Network [OSTI]

    Markakis, Mihalis G.

    We consider the problem of scheduling in a single-hop switched network with a mix of heavy-tailed and light-tailed traffic and analyze the impact of heavy-tailed traffic on the performance of Max-Weight scheduling. As a ...

  18. An Object-Oriented Method for ASCET Max Fuchs and Dieter Nazareth

    E-Print Network [OSTI]

    98MF19 BMW-ROOM An Object-Oriented Method for ASCET Max Fuchs and Dieter Nazareth BMW AG, 80788 Munich Maximilian.Fuchs,Dieter.Nazareth@bmw.de Dirk Daniel and Bernhard Rumpe Department of Computer kitchen without a cooking book. Plans to employ the tool for BMW vehicle software sparked off demand

  19. Computing Reliability Distributions of Windowed Max-log-map (MLM) Detectors : ISI Channels

    E-Print Network [OSTI]

    Kavcic, Aleksandar

    Computing Reliability Distributions of Windowed Max-log-map (MLM) Detectors : ISI Channels Fabian-log-map (MLM) detector has well-known appli- cations to the intersymbol interefence (ISI) channel [1, · · · , is trans- mitted across the ISI channel. Let the following random This work was performed when F. Lim

  20. Volume 6, Number 1 January 2009 Morgantown's Housing Costs Make It The Most Expensive Place To

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    Volume 6, Number 1 January 2009 Morgantown's Housing Costs Make It The Most Expensive Place To Live In The State By Amy Higginbotham For the third quarter of 2008, Morgantown's cost of living was found to be 0.7 percent above the national average, according to the ACCRA Cost of Living Survey. While close

  1. Computer News, Volume 3

    E-Print Network [OSTI]

    [mandelbrot set] MATH DEPT Computer News, Volume 3. How to take advantage of the newer, faster machines on our network ...

  2. Computer News, Volume 2

    E-Print Network [OSTI]

    [mandelbrot set] MATH DEPT Computer News, Volume 2. How to handle .pdf files on the web: acroread, distill, and Netscape ...

  3. The Sunyaev-Zeldovich Signal of the maxBCG SDSS Galaxy Clusters in WMAP

    SciTech Connect (OSTI)

    Draper, Patrick [Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Dodelson, Scott [Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Hao, Jiangang [Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Rozo, Eduardo [Univ. of Chicago, Chicago, IL (United States)

    2012-01-01T23:59:59.000Z

    The Planck Collaboration measured the Sunyaev-Zel'dovich (SZ) decrement of optically selected clusters from the Sloan Digital Sky Survey, finding that it falls significantly below expectations based on existing mass calibration of the maxBCG galaxy clusters. Resolving this tension requires either the data to go up, or the theoretical expectations to come down. Here, we use data from the Wilkinson Microwave Anisotropy Probe (WMAP) to perform an independent estimate of the SZ decrement of maxBCG clusters. The recovered signal is consistent with that obtained using Planck, though with larger error bars due to WMAP's larger beam size and smaller frequency range. Nevertheless, this detection serves as an independent confirmation of the magnitude of the effect, and demonstrates that the observed discrepancy must be theoretical in origin.

  4. Piezoelectric Micro/Nano-Pillars for Energy Harvesting & Medical Ultrasound Applications Max Lifson, Dartmouth College, SURF 2010 Fellow

    E-Print Network [OSTI]

    Li, Mo

    Piezoelectric Micro/Nano-Pillars for Energy Harvesting & Medical Ultrasound Applications Max Lifson these pillars are actually hollow nanotubes, the purpose of this study is to verify a process that can be used

  5. Queue length asymptotics for generalized max-weight scheduling in the presence of heavy-tailed traffic

    E-Print Network [OSTI]

    Jagannathan

    We investigate the asymptotic behavior of the steady-state queue length distribution under generalized max-weight scheduling in the presence of heavy-tailed traffic. We consider a system consisting of two parallel queues, ...

  6. Using min-max of torque to resolve redundancy for a mobile manipulator

    SciTech Connect (OSTI)

    Reister, D.B.

    1993-11-01T23:59:59.000Z

    We have considered the problem of determining the time trajectories of the joint variables of a mobile manipulator with many redundant degrees of freedom that will minimize the maximum value of the torque during a large scale motion by the manipulator. To create a well defined problem, we will divide the problem into two components: path planner and surveyor. The path planner will choose a path (between two points in Cartesian space) that will minimize the maximum value of the torque along the path. The input to the path planner is a network of path segments with the maximum value of the torque on each segment. The surveyor will find the points in joint space that are local minimums for the maximum value of the torque at each Cartesian position and define the network of path segments. In this paper, our focus will be on the surveyor and not on the path planner. Our min-max problem has an extra constraint on the joint variables. We seek a min-max at each Cartesian position rather than a global min-max. We have used the Kuhn-Tucker conditions to derive necessary conditions for the solution of our min-max problem. We find that the necessary conditions require that at one or more of the joints the magnitude of the normalized torques will be equal to the min-max value. We have explored the torque surfaces for two mobile manipulators: a planar manipulator and the CESARm. The CESARm is a manipulator with three joint angles controlling the height of the arm. The paths with three equal torques have low values for the torque but they only cover part of the workspace and do not join together. Paths with two equal torques cover the workspace and bridge between the disjoint path segments. We have evaluated the necessary conditions for both the paths with three equal torques and the paths with two equal torques. In most cases, the paths satisfy the necessary conditions.

  7. Computer News, Volume 21

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 21. I came, I saw, ical. There's a great new calendar and appointment book program on our system called ical at.

  8. Computer News, Volume 1

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 1. You and your .cshrc file. Click on RELOAD now. This page is frequently updated and you might be looking at an old ...

  9. Computer News, Volume 36

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 36. Click on RELOAD now. This page is frequently updated and you might be looking at an old version saved by your ...

  10. Computer News, Volume 19

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 19. Those damned attachments! I explain here how to extract and decode e-mail attachments of various kinds. Click on ...

  11. Computer News, Volume 8

    E-Print Network [OSTI]

    [mandelbrot set] MATH DEPT Computer News, Volume 8. A convenient way to do e-mail from home. by guest columnist, Donu Arapura ...

  12. Computer News, Volume 20

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 20. You and your .forward file. Let's say your name is Steven Bellisandagorapahockey and your login id on math is sbellis ...

  13. Computer News, Volume 37

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 37. Click on RELOAD now. This page is frequently updated and you might be looking at an old version saved by your ...

  14. Computer News, Volume 13

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 13. How to dork your official classlist. Click on RELOAD now. This page is frequently updated and you might be looking at ...

  15. Computer News, Volume 15

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 15. How to gain access to Mathematica on a math dept SUN. Click on RELOAD now. This page is frequently updated and ...

  16. Computer News, Volume 34

    E-Print Network [OSTI]

    [mandelbrot set] MATH DEPT Computer News, Volume 34. Click on RELOAD now. This page is frequently updated and you might be looking at an old version

  17. Computer News, Volume 33

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 33. How I teach big calculus lectures with a tablet PC. Click on RELOAD now. This page is frequently updated and you ...

  18. Computer News, Volume 12

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 12. Quick and dirty math on the internet. Click on RELOAD now. This page is frequently updated and you might be ...

  19. Computer News, Volume 38

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 38. Click on RELOAD now. This page is frequently updated and you might be looking at an old version saved by your ...

  20. Computer News, Volume 27

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 27. How to approve Plans of Study on the web. First, make sure you know your Purdue Career Account Login and ...

  1. Computer News, Volume 4

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 4. Xess, the spreadsheet. Click on RELOAD now. This page is frequently updated and you might be looking at an old ...

  2. Computer News, Volume 2

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 2. How to add acroread and distill to your path. Click on RELOAD now. This page is frequently updated and you might be ...

  3. Computer News, Volume 35

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 34. Click on RELOAD now. This page is frequently updated and you might be looking at an old version saved by your ...

  4. Computer News, Volume 32

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 32. The new TeX and how to create the new PU Math letterhead stationery. with help from Brad Lucier, Rodrigo Bañuelos

  5. Computer News, Volume 39

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 39. Click on RELOAD now. This page is frequently updated and you might be looking at an old version saved by your ...

  6. Computer News, Volume 23

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 23. How to view e-mail formatted in HTML originating from the web. Click on RELOAD now. This page is frequently ...

  7. Prime Supplier Sales Volumes

    Gasoline and Diesel Fuel Update (EIA)

    Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State 356 Energy Information Administration Petroleum Marketing Annual 1996 Table 48. Prime...

  8. Prime Supplier Sales Volumes

    Gasoline and Diesel Fuel Update (EIA)

    Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State 356 Energy Information Administration Petroleum Marketing Annual 1997 Table 48. Prime...

  9. LANL Volume 2_Final

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

    42 LANL * Consider developing programmatic evaluation criteria based on the October 1999 draft of Volume VI, Emergency Management Evaluations, of the DOE emergency...

  10. Finite Volume Element Method

    E-Print Network [OSTI]

    2003-12-06T23:59:59.000Z

    FVE is closely related to the control volume finite element method ... simple stencils, to apply to a fairly wide range of fluid flow equations, to effectively treat.

  11. ~max0006

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing:,, ,Development1U CO1) 1Metal

  12. Min-max control design for large angle maneuvers of flexible spacecraft

    E-Print Network [OSTI]

    Kim, Cheolho

    1991-01-01T23:59:59.000Z

    usiug the ICF approxiusation method is [M]J = (4. 7) Define the A[M] is 6[M] = e([i1~I] ? [M] J) 0 M, ] (4. 8) where e is the scaling factor to control the magnitude of A[M]. In this case, the state space fornr is z=Az+Bu (4. 9) where 0 I ? M... ( ber) gP Shankar P. Bhattacharyy (Member) Srinivas R. Vadali (Member) /Ye~- gc'g Walter E. Haisler (Head of Department) December 1991 ABSTRACT Min-Max Control Design for Large Angle Maneuvers of Flexible Spacecraft(December 1991) Cheolho I...

  13. Max Tech and Beyond: Maximizing Appliance and Equipment Efficiency by Design

    SciTech Connect (OSTI)

    Desroches, Louis-Benoit; Garbesi, Karina

    2011-07-20T23:59:59.000Z

    It is well established that energy efficiency is most often the lowest cost approach to reducing national energy use and minimizing carbon emissions. National investments in energy efficiency to date have been highly cost-effective. The cumulative impacts (out to 2050) of residential energy efficiency standards are expected to have a benefit-to-cost ratio of 2.71:1. This project examined energy end-uses in the residential, commercial, and in some cases the industrial sectors. The scope is limited to appliances and equipment, and does not include building materials, building envelopes, and system designs. This scope is consistent with the scope of DOE's appliance standards program, although many products considered here are not currently subject to energy efficiency standards. How much energy could the United States save if the most efficient design options currently feasible were adopted universally? What design features could produce those savings? How would the savings from various technologies compare? With an eye toward identifying promising candidates and strategies for potential energy efficiency standards, the Max Tech and Beyond project aims to answer these questions. The analysis attempts to consolidate, in one document, the energy savings potential and design characteristics of best-on-market products, best-engineered products (i.e., hypothetical products produced using best-on-market components and technologies), and emerging technologies in research & development. As defined here, emerging technologies are fundamentally new and are as yet unproven in the market, although laboratory studies and/or emerging niche applications offer persuasive evidence of major energy-savings potential. The term 'max tech' is used to describe both best-engineered and emerging technologies (whichever appears to offer larger savings). Few best-on-market products currently qualify as max tech, since few apply all available best practices and components. The three primary analyses presented in this report are: Nevertheless, it is important to analyze best-on-market products, since data on truly max tech technologies are limited. (1) an analysis of the cross-cutting strategies most promising for reducing appliance and equipment energy use in the U.S.; (2) a macro-analysis of the U.S. energy-saving potential inherent in promising ultra-efficient appliance technologies; and (3) a product-level analysis of the energy-saving potential.

  14. Claire E. Max, 2004 | U.S. DOE Office of Science (SC)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced. C o w l i t z CPlasma ofTopDepartment ofDepartmentClaire E. Max,

  15. Property:OpenEI/UtilityRate/DemandRateStructure/Tier2Max | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal PwerPerkins County,NumberOfNonCorporateOrganizationsInformation Tier2Max Jump to: navigation,

  16. Property:OpenEI/UtilityRate/DemandRateStructure/Tier3Max | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal PwerPerkins County,NumberOfNonCorporateOrganizationsInformation Tier2Max Jump

  17. Property:OpenEI/UtilityRate/DemandRateStructure/Tier4Max | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal PwerPerkins County,NumberOfNonCorporateOrganizationsInformation Tier2Max

  18. Computer News, Volume 29

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 29. How to update your login shell from csh to tcsh. If you, like me, have had an account on the Math network of SUNs ...

  19. Computer News, Volume 30

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 30. How to create an ASCII version of the Purdue Logo and other matters of e-mail etiquette. The Purdue logo... ... ah, yes ...

  20. Computer News, Volume 26

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 26. How to trim an e-mail alias. The faculty e-mail alias has a lot more people on it than you might imagine. (To find out ...

  1. Computer News, Volume 7

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 7. How to put figures in TeX. (I assume that you are using X windows on or from a math dept SUN.) To make a figure, I use ...

  2. Computer News, Volume 31

    E-Print Network [OSTI]

    MATH DEPT Computer News, Volume 31. How to create .pdf files from TeX. by Donu Arapura. Click on RELOAD now. This page is frequently updated and you ...

  3. Imaging using volume holograms

    E-Print Network [OSTI]

    Sinha, Arnab, 1978-

    2004-01-01T23:59:59.000Z

    Volume holograms can be thought of as self-aligned 3D stacks of diffractive elements that operate coherently on incident fields as they propagate through the structure. In this thesis, we propose, design and implement ...

  4. Effect of microstructure anisotropy on the deformation of MAX polycrystals studied by in-situ compression combined with neutron diffraction

    SciTech Connect (OSTI)

    Guitton, A.; Joulain, A.; Thilly, L., E-mail: ludovic.thilly@univ-poitiers.fr [Institut Pprime, CNRS-University of Poitiers-ENSMA, SP2MI, 86962 Futuroscope (France); Van Petegem, S.; Tromas, C.; Van Swygenhoven, H. [Materials Science and Simulations, NUM/ASQ, CH5232 Villigen PSI (Switzerland)

    2014-06-16T23:59:59.000Z

    In situ compression tests combined with neutron diffraction were performed on Ti{sub 2}AlN MAX polycrystals with lamellar anisotropic microstructure: the diffraction peak evolution (position and profile) with applied stress reveals that lamellar grains parallel to compression axis remain elastic while lamellar grains perpendicular to compression plastify, both families being subjected to strong variations of heterogeneous strains (types II and III). We demonstrate that this behavior originates from the complex response of the very anisotropic lamellar microstructure and explains the observation of reversible hysteretic loops when cycling MAX polycrystals even in the elastic regime.

  5. South Dakota DOT 1) Rural PCCP -0.0 Band California Profilograph and incentive for less than 25" per mile max incentive

    E-Print Network [OSTI]

    California Profilograph - Bonus paid for less than 5" per mile. Max bonus is 103.5% for 2.9" PI or less and lift) - Bonus paid for 50 IRI or less, Max Bonus is $180 per 0.1 mile per lane for 35 or less IRI. 2

  6. Max Planck Institute for Biological Cybernetics, Tbingen, Germany VSS 2002, #18.3 ID501 Spatial updating in virtual environments

    E-Print Network [OSTI]

    Max Planck Institute for Biological Cybernetics, Tübingen, Germany VSS 2002, #18.3 ID501 Spatial: What are vestibular cues good for? MPI for Biological Cybernetics, Germany 2 "Voluntary" vs Cybernetics, Germany 3 Methods - Setup · Vestibular stimuli: 6 dof Motion Platform · Visual stimuli: LCD video

  7. In-Depth Look at Ground Source Heat Pumps and Other Electric Loads in Two GreenMax Homes

    SciTech Connect (OSTI)

    Puttagunta, S.; Shapiro, C.

    2012-04-01T23:59:59.000Z

    CARB partnered with WPPI Energy to answer key research questions on in-field performance of ground-source heat pumps and LAMELs through extensive field monitoring at two WPPI GreenMax demonstration homes in Wisconsin. These two test home evaluations provided valuable data on the true in-field performance of various building mechanical systems and lighting, appliances, and miscellaneous loads (LAMELs).

  8. Analysis, Modification, and Implementation (AMI) of Scheduling Algorithm for the IEEE 802.116e (Mobile WiMAX)

    E-Print Network [OSTI]

    Ravichandiran, C; Vaidhyanathan, V

    2010-01-01T23:59:59.000Z

    Mobile WiMAX (Worldwide Interoperability for Microwave Access) is being touted as the most promising and potential broadband wireless technology. And the popularity rate has been surging to newer heights as the knowledge-backed service era unfolds steadily. Especially Mobile WiMAX is being projected as a real and strategic boon for developing counties such as India due to its wireless coverage acreage is phenomenally high. Mobile WiMAX has spurred tremendous interest from operators seeking to deploy high-performance yet cost-effective broadband wireless networks. The IEEE 802.16e standard based Mobile WiMAX system will be investigated for the purpose of Quality of Service provisioning. As a technical challenge, radio resource management will be primarily considered and main is the costly spectrum and the increasingly more demanding applications with ever growing number of subscribers. It is necessary to provide Quality of Service (QoS) guaranteed with different characteristics. As a possible solution the sche...

  9. On the design of a 55 GHz Si/SiGe HBT frequency doubler operating close to f max

    E-Print Network [OSTI]

    On the design of a 55 GHz Si/SiGe HBT frequency doubler operating close to f max S. Bruce, M. Kim. Abstract In this paper we present for the first time experimental results on a frequency doubler using a Si/SiGe GHz, for the Si/SiGe HBT, the conversion efficiency in a not completely optimised circuit was found

  10. 5782 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 55, NO. 12, DECEMBER 2007 Max-SINR ISI/ICI-Shaping Multicarrier

    E-Print Network [OSTI]

    Schniter, Philip

    5782 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 55, NO. 12, DECEMBER 2007 Max-SINR ISI-symbol/inter-car- rier interference (ISI/ICI) subject to orthogonal or biorthogonal constraints. In doubly dispersive channels, however, complete sup- pression of ISI/ICI is impossible, and the ISI/ICI pattern gener- ated

  11. We report measurement of the equilibrium plasma current profiles in the Levitated Dipole Experiment (LDX) that exhibit a peak beta in excess of 10 percent. The beta

    E-Print Network [OSTI]

    Experiment (LDX) that exhibit a peak beta in excess of 10 percent. The beta of an LDX plasma is calculated will be discussed along with the conditions that lead to the creation of high beta plasmas. #12;Outline · Magnetic · Average and peak beta Substantial analyses must be performed on the magnetic data to actually obtain

  12. VSP members have nationwide access to low, cost-controlled pricing on all lens extras, for savings up to 20 percent.

    E-Print Network [OSTI]

    Bordenstein, Seth

    up to 20 percent. Patient Option Single Vision Multifocal Polycarbonate Lenses $25 $30 Polycarbonate Polycarbonate Ten times more impact-resistant than any other plastic lens, polycarbonate is the lens of choice, polycarbonate lenses also provide UV protection and scratch-resistance. Progressive Lenses Unlike traditional

  13. Viability Assessment Volume 5

    SciTech Connect (OSTI)

    DOE,

    1998-12-01T23:59:59.000Z

    This volume presents a management summary of the cost estimate to complete the design, and to license, construct, operate, monitor, close, and decommission a Monitored Geologic Repository at Yucca Mountain in Nevada. This volume summarizes the scope, estimating methodologies, and assumptions used in development of the Monitored Geologic Repository-VA cost estimate. It identifies the key features necessary to understand the summary costs presented herein. This cost summary derives from a larger body of documented cost analysis. Volume 5 is organized to reflect this structured approach to cost estimation and contains the following sections: Section 1, Cost Elements. This section briefly defines the components of each major repository cost element. Section 2, Project Phases. This section presents the definition, as used in the estimate, of five project phases (Licensing, Pre-emplacement Construction, Emplacement Operations, Monitoring, and Closure and Decommissioning) and the schedule dates for each phase. It also contains major milestone dates and a bar chart schedule. Section 3, Major Assumptions. This section identifies key high-level assumptions for the cost estimate basis. Additional detailed assumptions are included in the appendices. Section 4, Integrated Cost Summary. This section presents a high-level roll-up of the VA costs resulting from the estimating work. The tables and figures contained in this section were compiled from the more detailed cost estimates in the appendices. Section 5, References. This section identifies the references that support this cost volume. Appendices. For each major repository cost element, Appendices B-F [B, C, D, E, F] presents additional information on the scope of cost elements, identifies methodologies used to develop the cost estimates, lists underlying cost assumptions, and tabulates summary results. Appendix A contains a glossary to assist the reader in understanding the terminology in Volume 5. Appendix G presents costs associated with three VA design options, as described in Volume 2. These costs are provided for information and are not compiled into the integrated cost summary.

  14. Viability Assessment Volume 4

    SciTech Connect (OSTI)

    DOE

    1998-12-01T23:59:59.000Z

    Volume 4 provides the DOE plan and cost estimate for the remaining work necessary to proceed from completing this VA to submitting an LA to NRC. This work includes preparing an EIS and evaluating the suitability of the site. Both items are necessary components of the documentation required to support a decision in 2001 by the Secretary of Energy on whether or not to recommend that the President approve the site for development as a repository. If the President recommends the site to Congress and the site designation becomes effective, then DOE will submit the LA to NRC in 2002 for authorization to construct the repository. The work described in Volume 4 constitutes the last step in the characterization of the Yucca Mountain site and the design and evaluation of the performance of a repository system in the geologic setting of this site. The plans in this volume for the next 4 years' work are based on the results of the previous 15 years' work, as reported in Volumes 1, 2, and 3 of this VA. Volume 1 summarizes what DOE has learned to date about the Yucca Mountain site. Volume 2 describes the current, reference repository design, several design options that might enhance the performance of the reference design, and several alternative designs that represent substantial departures from the reference design. Volume 2 also summarizes the results of tests of candidate materials for waste packages and for support of the tunnels into which waste would be emplaced. Volume 3 provides the results of the latest performance assessments undertaken to evaluate the performance of the design in the geologic setting of Yucca Mountain. The results described in Volumes 1, 2, and 3 provide the basis for identifying and prioritizing the work described in this volume. DOE believes that the planned work, together with the results of previous work, will be sufficient to support a site suitability evaluation for site recommendation and, if the site is recommended and designated, a defensible LA. Volume 4 is divided into seven sections. Section 2 presents a rationale and summary for the technical work to be done to develop the preclosure and postclosure safety cases that will support the compliance evaluations required for the evaluation of site suitability and for licensing. Section 2 also describes other necessary technical work, including that needed to support design decisions and development of the necessary design information. Section 3 presents a more detailed description of the technical work required to address the issues identified in Section 2. Section 3 also describes activities that will continue after submittal of the site recommendation and the LA. Examples include the drift scale heater test in the Exploratory Studies Facility (Section 3.1.4.3) and long-term waste package corrosion testing (Section 3.2.2.9). Section 4 discusses the statutory and regulatory framework for site recommendation and submittal of an LA, and describes the activities and documentation that must be completed to achieve these milestones, including the development of an EIS. Section 5 describes the numerous activities required to support program milestones, including support for completing the testing program, continuing tests as part of the performance confirmation program, and managing information and records to support regulatory and legal review. Sections 6 and 7 provide cost and schedule information for the activities planned.

  15. ARE Update Volume 9, Number 3

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    automobiles operate on 100 percent ethanol. Not only does ethanol burn cleaner, but it has a History

  16. Publications Edited Volume

    E-Print Network [OSTI]

    MacIver, Malcolm A.

    of Robots with Passive Environments: Application to Force Feedback Control Ed Colgate and Neville Hogan, J. Edward Colgate Industrial Robot, 26 (5), 1999, pp 335-341 Toward Robot-Assisted VascularPublications Edited Volume Advances in Robotics, Mechatronics, and Haptic Interfaces 1993 Edited

  17. Topology-controlled volume rendering

    E-Print Network [OSTI]

    Weber, Gunther H; Dillard, Scott E; Carr, Hamish; Pascucci, Valerio; Hamann, Bernd

    2007-01-01T23:59:59.000Z

    type. Even when volume render- ing is applied to nonmedicalin graphics hardware. We render tubes between saddles and

  18. Table 1. Number and Percent of Women Faculty in Science/Engineering by Department, 2000* Division/Department Women Men % Women

    E-Print Network [OSTI]

    Sheridan, Jennifer

    .2% Agricultural & Applied Economics 0.00 22.00 0.0% Life Sciences Communication 3.80 8.33 31.3% Rural Sociology 3 Communication 4.41 11.00 28.6% School of Library & Information Studies 4.00 2.00 66.7% #12;Political Science 8Table 1. Number and Percent of Women Faculty in Science/Engineering by Department, 2000* Division

  19. Table 1. Number and Percent of Women Faculty in Science/Engineering by Department, 2005 Division/Department Women Men % Women

    E-Print Network [OSTI]

    Sheridan, Jennifer

    223.20 366.73 37.8% Agricultural & Applied Economics 3.00 22.90 11.6% Life Sciences Communication 5 Communication 5.00 8.50 37.0% School of Library & Information Studies 7.00 0.50 93.3% Political Science 7.00 27Table 1. Number and Percent of Women Faculty in Science/Engineering by Department, 2005 Division

  20. High Volume Test Automation 1 High Volume Test AutomationHigh Volume Test Automation

    E-Print Network [OSTI]

    High Volume Test Automation 1 High Volume Test AutomationHigh Volume Test Automation Keynote Automation 2 AcknowledgementsAcknowledgements · Many of the ideas in this presentation were initially jointly developed with Doug Hoffman,as we developed a course on test automation architecture, and in the Los Altos

  1. Viability Assessment Volume 2

    SciTech Connect (OSTI)

    DOE

    1998-12-01T23:59:59.000Z

    This volume describes the major design features of the Monitored Geologic Repository. This document is not intended to provide an exhaustive, detailed description of the repository design. Rather, this document summarizes the major systems and primary elements of the design that are radiologically significant, and references the specific technical documents and design analyses wherein the details can be found. Not all portions of the design are at the same level of completeness. Highest priority has been given to assigning resources to advance the design of the Monitored Geologic Repository features that are important to radiological safety and/or waste isolation and for which there is no NRC licensing precedent. Those features that are important to radiological safety and/or waste isolation, but for which there is an NRC precedent, receive second priority. Systems and features that have no impact on radiological safety or waste isolation receive the lowest priority. This prioritization process, referred to as binning, is discussed in more detail in Section 2.3. Not every subject discussed in this volume is given equal treatment with regard to the level of detail provided. For example, less detail is provided for the surface facility design than for the subsurface and waste package designs. This different level of detail is intentional. Greater detail is provided for those functions, structures, systems, and components that play key roles with regard to protecting radiological health and safety and that are not common to existing nuclear facilities already licensed by NRC. A number of radiological subjects are not addressed in the VA, (e.g., environmental qualification of equipment). Environmental qualification of equipment and other radiological safety considerations will be addressed in the LA. Non-radiological safety considerations such as silica dust control and other occupational safety considerations are considered equally important but are not addressed in th is volume of the VA (see Volume 1, Section 2.2.1.2, subsection on Health Related Mineral Issues).

  2. Lokaratna, Volume 4

    E-Print Network [OSTI]

    Mishra, Mahendra Kumar

    2011-01-01T23:59:59.000Z

    Muthukumarswamy and his colleagues of NFSC, Chennai to support this volume to be published in their web site for a global readership. On behalf of Folklore Foundation, Odisha Bhubaneswar , I wish a Happy and prosperous new Year 2012... (b)ali-B?eli,5 mythical Great Ancestress of the Kondhs and, at one time, a human manifestation of the earth goddess ? originally choose to manifest herself to man in her tiger form; after she had assumed such form, she killed a large quantity of game animals...

  3. FY 2005 Volume 4

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic Plan| Department of.pdf6-OPAMDepartment of EnergyME-0035 Volume 4 Science

  4. FY 2005 Volume 5

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic Plan| Department of.pdf6-OPAMDepartment of EnergyME-0035 Volume 4 Science6

  5. FY 2005 Volume 6

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic Plan| Department of.pdf6-OPAMDepartment of EnergyME-0035 Volume 4 Science67

  6. FY 2005 Volume 7

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic Plan| Department of.pdf6-OPAMDepartment of EnergyME-0035 Volume 4

  7. Volume One Disc Two

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps1 -Visualizing Brain Metals inVolume-One-Disc-Two

  8. ARE Update Volume 10, Number 2

    E-Print Network [OSTI]

    Klonsky, Karen; Carter, Colin A; Karp, Larry

    2006-01-01T23:59:59.000Z

    tain countries. season (2005-06), exports of processed Thebillion pounds of paste in 2005-06, of which 70 percent was

  9. ARE Update Volume 9, Number 3

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    yeast even two percent biodiesel to petrodiesel can compen-on biofuel production biodiesel production, which hasbenefit biofuel production. Biodiesel, like ethanol, burns

  10. 1D-8 Duo-Binary Circular Turbo Decoder Based on Border Metric Encoding for WiMAX

    E-Print Network [OSTI]

    Ji-hoon Kim; In-cheol Park

    Abstract- This paper presents a duo-binary circular turbo decoder based on border metric encoding. With the proposed method, the memory size for branch memory is reduced by half and the dummy calculation is removed at the cost of the small-sized memory which holds the encoded border metrics. Based on the proposed SISO decoder and the dedicated hardware interleaver, a duo-binary circular turbo decoder is designed for the WiMAX standard using a 0.13 ?m CMOS process, which can support 24.26 Mbps at 200MHz. I.

  11. spaceheat_percent2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 2012302Q),1996 Total pera.5a.8a.Space

  12. Variable Average Absolute Percent Differences

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE. Great Basin Oil and Gas FieldsLiquids

  13. spaceheat_percent2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and Methane2a.6a.Space

  14. Interactive Volume Rendering of Diffusion Tensor Data

    E-Print Network [OSTI]

    Hlawitschka, Mario

    2010-01-01T23:59:59.000Z

    ller. Volumeshop: o Interactive direct volume illustration.Kin04] [KKW05] [KTW06] Interactive Volume Rendering of Di?magic volume lens: An interactive focus+context technique

  15. Comparison of analytical methods for percent phosphorous determination in electroless nickel plate. [UCC-ND alkalimetric method; UCC-ND Inductively Coupled Plasma (ICP) method; ASTM-E39 gravimetric method; development colorimetric method; independent colorimetric method

    SciTech Connect (OSTI)

    Owens, W.W.; Sullivan, H.H.

    1982-01-01T23:59:59.000Z

    Electroless nicke-plate characteristics are substantially influenced by percent phosphorous concentrations. Available ASTM analytical methods are designed for phosphorous concentrations of less than one percent compared to the 4.0 to 20.0% concentrations common in electroless nickel plate. A variety of analytical adaptations are applied through the industry resulting in poor data continuity. This paper presents a statistical comparison of five analytical methods and recommends accurate and precise procedures for use in percent phosphorous determinations in electroless nickel plate. 2 figures, 1 table.

  16. Effect of High-Voltage Heterojunction Bipolar Transistor Collector Design on f(T) and f(MAX)

    SciTech Connect (OSTI)

    Ashby, C.I.H.; Baca, A.G.; Chang, P.C.; Hietala, V.M.

    1999-03-02T23:59:59.000Z

    High-speed InGaP/GaAs heterojunction bipolar transistors (HBTs) for high-voltage circuit applications have been investigated. In order to obtain ideal IV characteristics, a lightly doped (N{sub DC} = 7.5 x 10{sup 15} cm{sup {minus}3}) thick (W{sub C} = 3.5 {micro}m) layer of GaAs was used as the collector layer. The devices fabricated have shown breakdown voltage exceeding 65 V. Device operated at up to a 60V bias, which is the highest operating voltage reported up to date for single heterojunction HBTs. Peak {line_integral}{sub T} and {line_integral}{sub MAX} values of 18 GHz and 29 GHz, respectively, have been achieved on a device with emitter area of 4x 12.5 {micro}m{sup 2}. Both {line_integral}{sub T} and {line_integral}{sub Max} degrades with higher bias, which is related to the elongation of the collector depletion width.

  17. Volume III, Issue 4 your connection

    E-Print Network [OSTI]

    , and solar panels. The 87,700 square foot building contains offices, 60 standard laboratories, and 4 percent, contributing toward an overall cost savings of 29 percent. In addition to energy-cost- saving by minimizing the dis- tance materials traveled to the site. The total cost for the project was $66.8 million

  18. REORIENTAO Ensino Mdio -Volume I

    E-Print Network [OSTI]

    Liu, I-Shih

    REORIENTAÇÃO CURRICULAR PORTUGUÊS Ensino Médio - Volume I Materiais Didáticos #12;#12;GOVERNO DO SUBSECRETARIA ADJUNTA DE PLANEJAMENTO PEDAGÓGICO Alba Rodrigues Cruz #12;#12;GOVERNO DO ESTADO DO RIO DE JANEIRO

  19. Direct Volume Visualization of Three-Dimensional Vector Fields Roger Crawfis

    E-Print Network [OSTI]

    Crawfis, Roger

    . Particle systems [Reeves85] can be used to represent both scalar ([Max90], [Sabella88]) and vector fields

  20. International Linear Collider Technical Design Report (Volumes 1 through 4)

    SciTech Connect (OSTI)

    Harrison M.

    2013-03-27T23:59:59.000Z

    The design report consists of four volumes: Volume 1, Executive Summary; Volume 2, Physics; Volume 3, Accelerator (Part I, R and D in the Technical Design Phase, and Part II, Baseline Design); and Volume 4, Detectors.

  1. Volume-Duration-Frequencies for Ungaged Catchments in Texas

    E-Print Network [OSTI]

    Devulapalli, Ravi S.; Valdes, Juan B.

    of individual phases, consists of two volumes. Volume I (titled Volume-Duration-Frequencies for Ungaged Catchments in Texas: Calculation of Regional Regression Equations) presents the regional regression equations developed, while Volume II (titled Volume...

  2. CO{sub 2} emissions from developing countries: Better understanding the role of energy in the long term. Volume 1, Summary: Revision

    SciTech Connect (OSTI)

    Sathaye, J.; Ketoff, A.

    1991-02-01T23:59:59.000Z

    This study examines energy use and carbon emissions in the developing world. Based on analyses of present energy-use patterns in 17 developing nations, this study presents high emissions and low emissions scenarios for these nations in the year 2025. These nations combined account for two thirds of the energy-related carbon emissions presently generated in the developing world. The analysis reveals that energy demand expands dramatically by 2025 and grows increasingly carbon intensive. In the high emissions scenario, carbon emissions from these countries increase four-fold. The greatest share of carbon stems from the industrial sector in 2025, followed by the transport and residential sectors. With the implementation of policies aimed at reducing CO{sub 2} emissions, the low emissions scenario reduces the level of carbon in 2025 by 20 percent relative to the high emissions scenario figure. These nations achieve 80 percent of the carbon reductions by improving the efficiency of energy production and use and the remaining 20 percent by implementing fuel-switching measures. Of all the sectors examined, the industrial sector offers the greatest opportunity for absolute carbon savings (39 percent of the total). This summary is volume one of five volumes.

  3. 1268 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 56, NO. 3, MARCH 2008 Quality of Service and Max-Min Fair Transmit

    E-Print Network [OSTI]

    Sidiropoulos, Nikolaos D.

    state is known at the transmitter and from two viewpoints: mini- mizing total transmission power while.g., in the context of the emerging WiMAX and UMTS-LTE wireless networks. The joint problem also contains single-BROAD and by National and Community Funds (75% from E.U.-European Social Fund and 25% from the Greek Ministry

  4. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. XX, NO. XX, MONTH 2008 1 Redefinition of Max-Min Fairness in Multi-hop Wireless Networks

    E-Print Network [OSTI]

    Jiang, Hai

    -Min Fairness in Multi-hop Wireless Networks Ping Wang, Member, IEEE, Hai Jiang, Member, IEEE, Weihua Zhuang that it is challenging to evaluate service fairness in multi-hop wireless networks due to intra-flow contention as an alternative criterion. Based on this criterion, a new definition of max-min fairness for wireless networks

  5. [10] K. Mehlhorn and C. Uhrig. The Minimum Cut Algorithm of Stoer and Wagner. Unpublished manuscript, Max Planck Institute for Computer Science. Available at

    E-Print Network [OSTI]

    Fegaras, Leonidas

    [10] K. Mehlhorn and C. Uhrig. The Minimum Cut Algorithm of Stoer and Wagner. Unpublished manuscript, Max Planck Institute for Computer Science. Available at http://www.mpi­sb.mpg.de/guide/staff/uhrig, pp 238--248, May 1997. [15] P. Selinger, M. Astrahan, D. Chamberlin, R. Lorie, and T. Price. Access

  6. Name e-mail position Institution 1 Arndt, Max m.arndt@ged.rwth-aachen.de PhD RWTH-Aachen University, Geologie Endogene Dynamik, Aachen, Germany

    E-Print Network [OSTI]

    Cesare, Bernardo

    Name e-mail position Institution 1 Arndt, Max m.arndt@ged.rwth-aachen.de PhD RWTH-Aachen University, Geologie Endogene Dynamik, Aachen, Germany 2 Billia, Marco marco.billia@alumni.ethz.ch PhD Department of Geology, University of Otago, New Zealand 3 Boutonnet, Emmanuelle emmanuelle.boutonnet@ens-lyon.fr PhD

  7. The effects of storage time, storage temperature, and concentration on percent recoveries of thermally desorbed diffusive dosimeter samples contaminated with chloroform

    E-Print Network [OSTI]

    Gallucci, Joseph Matthew

    1981-01-01T23:59:59.000Z

    of polar solvents (such as acetone and ethanol) from air using activated charcoal felt, silica gel or activated alumina. 13 Porous polymer gas chromatograph packings have also been used as an adsorbent trap in place of activated charcoal because of its... vapors have been collected and concen- trated using the charcoal tube (CT) technique. This method con- s1sts of pump1ng a known volume of air through a tube packed with charcoal for a defin1te period of time. Organic vapors are adsorbed onto...

  8. The Mean and Scatter of the Velocity Dispersion-Optical Richness Relation for MaxBCG Galaxy Clusters

    SciTech Connect (OSTI)

    Becker, M.R.; McKay, T.A.; /Michigan U.; Koester, B.; /Chicago U., Astron. Astrophys. Ctr.; Wechsler, R.H.; /KIPAC, Menlo Park /SLAC /Stanford U., Phys. Dept.; Rozo, E.; /Ohio State U.; Evrard, A.; /Michigan U. /Michigan U., MCTP; Johnston, D.; /Caltech, JPL; Sheldon, E.; /New York U.; Annis, J.; /Fermilab; Lau, E.; /Chicago U., Astron. Astrophys. Ctr.; Nichol, R.; /Portsmouth U., ICG; Miller, C.; /Michigan U.

    2007-06-05T23:59:59.000Z

    The distribution of galaxies in position and velocity around the centers of galaxy clusters encodes important information about cluster mass and structure. Using the maxBCG galaxy cluster catalog identified from imaging data obtained in the Sloan Digital Sky Survey, we study the BCG--galaxy velocity correlation function. By modeling its non-Gaussianity, we measure the mean and scatter in velocity dispersion at fixed richness. The mean velocity dispersion increases from 202 {+-} 10 km s{sup -1} for small groups to more than 854 {+-} 102 km s{sup -1} for large clusters. We show the scatter to be at most 40.5{+-}3.5%, declining to 14.9{+-}9.4% in the richest bins. We test our methods in the C4 cluster catalog, a spectroscopic cluster catalog produced from the Sloan Digital Sky Survey DR2 spectroscopic sample, and in mock galaxy catalogs constructed from N-body simulations. Our methods are robust, measuring the scatter to well within one-sigma of the true value, and the mean to within 10%, in the mock catalogs. By convolving the scatter in velocity dispersion at fixed richness with the observed richness space density function, we measure the velocity dispersion function of the maxBCG galaxy clusters. Although velocity dispersion and richness do not form a true mass--observable relation, the relationship between velocity dispersion and mass is theoretically well characterized and has low scatter. Thus our results provide a key link between theory and observations up to the velocity bias between dark matter and galaxies.

  9. Physics of laser fusion. Volume II. Diagnostics of experiments on laser fusion targets at LLNL

    SciTech Connect (OSTI)

    Ahlstrom, H.G.

    1982-01-01T23:59:59.000Z

    These notes present the experimental basis and status for laser fusion as developed at LLNL. There are two other volumes in this series: Vol. I, by C.E. Max, presents the theoretical laser-plasma interaction physics; Vol. III, by J.F. Holzrichter et al., presents the theory and design of high-power pulsed lasers. A fourth volume will present the theoretical implosion physics. The notes consist of six sections. The first, an introductory section, provides some of the history of inertial fusion and a simple explanation of the concepts involved. The second section presents an extensive discussion of diagnostic instrumentation used in the LLNL Laser Fusion Program. The third section is a presentation of laser facilities and capabilities at LLNL. The purpose here is to define capability, not to derive how it was obtained. The fourth and fifth sections present the experimental data on laser-plasma interaction and implosion physics. The last chapter is a short projection of the future.

  10. Which BPS baryons minimize volume?

    SciTech Connect (OSTI)

    Evslin, Jarah; Kuperstein, Stanislav [Scuola Internazionale Superiore di Studi Avanzati (SISSA), Strada Costiera, Via Beirut n.2-4, 34013 Trieste (Italy); Theoretische Natuurkunde, Vrije Universiteit Brussel and The International Solvay Institutes, Pleinlaan 2, B-1050 Brussels (Belgium)

    2009-02-15T23:59:59.000Z

    A Bogomol'nyi-Prasad-Sommerfield (BPS) 3-cycle in a Sasaki-Einstein 5-manifold in general does not minimize volume in its homology class, as we illustrate with several examples of nonminimal volume BPS cycles on the 5-manifolds Y{sup p,q}. Instead they minimize the energy of a wrapping D-brane, extremizing a generalized calibration. We present this generalized calibration and demonstrate that it reproduces both the Born-Infeld and the Wess-Zumino parts of the D3-brane energy.

  11. ARE Update Volume 12, Number 1

    E-Print Network [OSTI]

    Sexton, Steven E; Rajagopal, Deepak; Zilberman, David D; Aker, Jenny

    2008-01-01T23:59:59.000Z

    genetically modi- fied (GM) crops have increased yields ofand corn 30–50 percent. GM crops are infused with genes toand energy situation. GM crops lessen the land constraint

  12. High air volume to low liquid volume aerosol collector

    DOE Patents [OSTI]

    Masquelier, Donald A. (Tracy, CA); Milanovich, Fred P. (Lafayette, CA); Willeke, Klaus (Cincinnati, OH)

    2003-01-01T23:59:59.000Z

    A high air volume to low liquid volume aerosol collector. A high volume flow of aerosol particles is drawn into an annular, centripetal slot in a collector which directs the aerosol flow into a small volume of liquid pool contained is a lower center section of the collector. The annular jet of air impinges into the liquid, imbedding initially airborne particles in the liquid. The liquid in the pool continuously circulates in the lower section of the collector by moving to the center line, then upwardly, and through assistance by a rotating deflector plate passes back into the liquid at the outer area adjacent the impinging air jet which passes upwardly through the liquid pool and through a hollow center of the collector, and is discharged via a side outlet opening. Any liquid droplets escaping with the effluent air are captured by a rotating mist eliminator and moved back toward the liquid pool. The collector includes a sensor assembly for determining, controlling, and maintaining the level of the liquid pool, and includes a lower centrally located valve assembly connected to a liquid reservoir and to an analyzer for analyzing the particles which are impinged into the liquid pool.

  13. High-Temperature-High-Volume Lifting for Enhanced Geothermal...

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

    High-Temperature-High-Volume Lifting for Enhanced Geothermal Systems High-Temperature-High-Volume Lifting for Enhanced Geothermal Systems High-Temperature-High-Volume Lifting for...

  14. PATRAM '80. Proceedings. Volume 2

    SciTech Connect (OSTI)

    Huebner, H.W. (ed.)

    1980-01-01T23:59:59.000Z

    Volume 2 contains papers from the following sessions: Safeguards-Related Problems; Neutronics and Criticality; Operations and Systems Experience II; Plutonium Systems; Intermediate Storage in Casks; Operations and Systems Planning; Institutional Issues; Structural and Thermal Evaluation I; Poster Session B; Extended Testing I; Structural and Thermal Evaluation II; Extended Testing II; and Emergency Preparedness and Response. Individual papers were processed. (LM)

  15. PATRAM '80. Proceedings. Volume 1

    SciTech Connect (OSTI)

    Huebner, H.W. (ed.)

    1980-01-01T23:59:59.000Z

    Volume 1 contains papers from the following sessions: Plenary Session; Regulations, Licensing and Standards; LMFBR Systems Concepts; Risk/Safety Assessment I; Systems and Package Design; US Institutional Issues; Risk/Safety Assessment II; Leakage, Leak Rate and Seals; Poster Session A; Operations and Systems Experience I; Manufacturing Processes and Materials; and Quality Assurance and Maintenance. Individual papers were processed. (LM)

  16. Neuron, Volume 78 Supplemental Information

    E-Print Network [OSTI]

    Gentner, Timothy

    Neuron, Volume 78 Supplemental Information Associative Learning Enhances Population Coding colored dot denotes the mean response for two neurons to each of four stimuli. Each colored ellipse) For a positive relationship, neuron pairs with positive signal correlation and large noise correlation have

  17. Arnold Schwarzenegger HIGH-VOLUME MANUFACTURING FOR

    E-Print Network [OSTI]

    Arnold Schwarzenegger Governor HIGH-VOLUME MANUFACTURING FOR LOW-COST, FLEXIBLE SOLAR CELL Prepared-VOLUME MANUFACTURING FOR LOW-COST, FLEXIBLE SOLAR CELL EISG AWARDEE InterPhases Research 166 N. Moorpark Rd. Suite 204

  18. MINIMAL VOLUME Laurent BESSI`ERES

    E-Print Network [OSTI]

    Remy, Bertrand

    MINIMAL VOLUME by Laurent BESSI`ERES Abstract. -- The aim of this text is to explain some rigidity manifold, simplicial volume, global topological meth- ods (`a la Gromov). #12;2 LAURENT BESSI`ERES 1

  19. Verifying Volume Rendering Using Discretization Error Analysis

    E-Print Network [OSTI]

    Kirby, Mike

    Verifying Volume Rendering Using Discretization Error Analysis Tiago Etiene, Daniel Jo¨nsson, Timo--We propose an approach for verification of volume rendering correctness based on an analysis of the volume rendering integral, the basis of most DVR algorithms. With respect to the most common discretization

  20. Site Environmental Report for 2005 Volume I and Volume II

    SciTech Connect (OSTI)

    Ruggieri, Michael

    2006-07-07T23:59:59.000Z

    Each year, Ernest Orlando Lawrence Berkeley National Laboratory prepares an integrated report on its environmental programs to satisfy the requirements of United States Department of Energy Order 231.1A, ''Environment, Safety, and Health Reporting''. The ''Site Environmental Report for 2005'' summarizes Berkeley Lab's environmental management performance, presents environmental monitoring results, and describes significant programs for calendar year 2005. (Throughout this report, Ernest Orlando Lawrence Berkeley National Laboratory is referred to as ''Berkeley Lab'', ''the Laboratory'', ''Lawrence Berkeley National Laboratory'', and ''LBNL''.) The report is separated into two volumes. Volume I contains an overview of the Laboratory, the status of environmental programs, and summarized results from surveillance and monitoring activities. This year's Volume I text body is organized into an executive summary followed by six chapters. The report's structure has been reorganized this year, and it now includes a chapter devoted to environmental management system topics. Volume II contains individual data results from surveillance and monitoring activities. The ''Site Environmental Report'' is distributed by releasing it on the Web from the Berkeley Lab Environmental Services Group (ESG) home page, which is located at http://www.lbl.gov/ehs/esg/. Many of the documents cited in this report also are accessible from the ESG Web page. CD and printed copies of this Site Environmental Report are available upon request. The report follows the Laboratory's policy of using the International System of Units (SI), also known as the metric system of measurements. Whenever possible, results are also reported using the more conventional (non-SI) system of measurements, because the non-SI system is referenced by several current regulatory standards and is more familiar to some readers. Two tables are provided at the end of the Glossary to help readers: the first defines the prefixes used with SI units of measurement, and the second provides conversions to non-SI units.

  1. References: [1] Jhne, Bernd; "Methoden zur schnellen und genauen Messung der Gasaustauschrate im Aeolotron mit Gasen niedriger und hoher Lslichkeit" (2009); Kerstin Richter and Bernd Jhne

    E-Print Network [OSTI]

    Jaehne, Bernd

    : 120 cm Max. water volume: 21500 l Approx. air volume: 23000 l Max. Wind speed: 14 m/s Wind generator

  2. Scaling Towards 300 GHz fT/fMAX SiGe Transistors Basanth Jagannathan, Jae-Sung Rieh, and Greg Freeman, Semiconductor Research and Development

    E-Print Network [OSTI]

    Rieh, Jae-Sung

    Scaling Towards 300 GHz fT/fMAX SiGe Transistors Basanth Jagannathan, Jae-Sung Rieh, and Greg access points. SiGe technology is a proven market place leader at application frequencies below 10Gb/s and there have been many recent 40Gb/s circuits demonstrated in SiGe as well [1]. From a SiGe HBT perspective

  3. Waste minimization handbook, Volume 1

    SciTech Connect (OSTI)

    Boing, L.E.; Coffey, M.J.

    1995-12-01T23:59:59.000Z

    This technical guide presents various methods used by industry to minimize low-level radioactive waste (LLW) generated during decommissioning and decontamination (D and D) activities. Such activities generate significant amounts of LLW during their operations. Waste minimization refers to any measure, procedure, or technique that reduces the amount of waste generated during a specific operation or project. Preventive waste minimization techniques implemented when a project is initiated can significantly reduce waste. Techniques implemented during decontamination activities reduce the cost of decommissioning. The application of waste minimization techniques is not limited to D and D activities; it is also useful during any phase of a facility`s life cycle. This compendium will be supplemented with a second volume of abstracts of hundreds of papers related to minimizing low-level nuclear waste. This second volume is expected to be released in late 1996.

  4. Petroleum supply annual 1993. Volume 1

    SciTech Connect (OSTI)

    Not Available

    1994-06-01T23:59:59.000Z

    The Petroleum Supply Annual (PSA) contains information on the supply and disposition of crude oil and petroleum products. The publication reflects data that were collected from the petroleum industry during 1993 through annual and monthly surveys. The PSA is divided into two volumes. This first volume contains four sections: Summary Statistics, Detailed Statistics, Refinery Capacity, and Oxygenate Capacity each with final annual data. The second volume contains final statistics for each month of 1993, and replaces data previously published in the Petroleum Supply Monthly (PSM). The tables in Volumes 1 and 2 are similarly numbered to facilitate comparison between them. Below is a description of each section in Volume 1 of the PSA.

  5. Petroleum supply annual 1994. Volume 1

    SciTech Connect (OSTI)

    NONE

    1995-05-22T23:59:59.000Z

    The Petroleum Supply Annual (PSA) contains information on the supply and disposition of crude oil and petroleum products. The publication reflects data that were collected from the petroleum industry during 1994 through annual and monthly surveys. The PSA is divided into two volumes. This first volume contains four sections: Summary Statistics, Detailed Statistics, Refinery Capacity, and Oxygenate Capacity each with final annual data. The second volume contains final statistics for each month of 1994, and replaces data previously published in the Petroleum Supply Monthly (PSM). The tables in Volumes 1 and 2 are similarly numbered to facilitate comparison between them. Below is a description of each section in Volume 1 of the PSA.

  6. Quantifying the Impact of Immediate Reconstruction in Postmastectomy Radiation: A Large, Dose-Volume Histogram-Based Analysis

    SciTech Connect (OSTI)

    Ohri, Nisha [Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, New York (United States)] [Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, New York (United States); Cordeiro, Peter G. [Department of Plastic Surgery, Memorial Sloan-Kettering Cancer Center, New York, New York (United States)] [Department of Plastic Surgery, Memorial Sloan-Kettering Cancer Center, New York, New York (United States); Keam, Jennifer [Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, New York (United States)] [Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, New York (United States); Ballangrud, Ase [Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, New York (United States)] [Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, New York (United States); Shi Weiji; Zhang Zhigang [Department of Biostatistics and Epidemiology, Memorial Sloan-Kettering Cancer Center, New York, New York (United States)] [Department of Biostatistics and Epidemiology, Memorial Sloan-Kettering Cancer Center, New York, New York (United States); Nerbun, Claire T.; Woch, Katherine M.; Stein, Nicholas F.; Zhou Ying [Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, New York (United States)] [Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, New York (United States); McCormick, Beryl; Powell, Simon N. [Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, New York (United States)] [Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, New York (United States); Ho, Alice Y., E-mail: HoA1234@mskcc.org [Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, New York (United States)

    2012-10-01T23:59:59.000Z

    Purpose: To assess the impact of immediate breast reconstruction on postmastectomy radiation (PMRT) using dose-volume histogram (DVH) data. Methods and Materials: Two hundred forty-seven women underwent PMRT at our center, 196 with implant reconstruction and 51 without reconstruction. Patients with reconstruction were treated with tangential photons, and patients without reconstruction were treated with en-face electron fields and customized bolus. Twenty percent of patients received internal mammary node (IMN) treatment. The DVH data were compared between groups. Ipsilateral lung parameters included V20 (% volume receiving 20 Gy), V40 (% volume receiving 40 Gy), mean dose, and maximum dose. Heart parameters included V25 (% volume receiving 25 Gy), mean dose, and maximum dose. IMN coverage was assessed when applicable. Chest wall coverage was assessed in patients with reconstruction. Propensity-matched analysis adjusted for potential confounders of laterality and IMN treatment. Results: Reconstruction was associated with lower lung V20, mean dose, and maximum dose compared with no reconstruction (all P<.0001). These associations persisted on propensity-matched analysis (all P<.0001). Heart doses were similar between groups (P=NS). Ninety percent of patients with reconstruction had excellent chest wall coverage (D95 >98%). IMN coverage was superior in patients with reconstruction (D95 >92.0 vs 75.7%, P<.001). IMN treatment significantly increased lung and heart parameters in patients with reconstruction (all P<.05) but minimally affected those without reconstruction (all P>.05). Among IMN-treated patients, only lower lung V20 in those without reconstruction persisted (P=.022), and mean and maximum heart doses were higher than in patients without reconstruction (P=.006, P=.015, respectively). Conclusions: Implant reconstruction does not compromise the technical quality of PMRT when the IMNs are untreated. Treatment technique, not reconstruction, is the primary determinant of target coverage and normal tissue doses.

  7. Volumes

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

    W 872.9 1,737.8 282.7 2,893.4 W W 132.1 117.6 - 249.7 See footnotes at end of table. 220 Energy Information AdministrationPetroleum Marketing Annual 2002 Table 43. Refiner Motor...

  8. Volumes

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

    W NA W 1,666.1 W 2,880.1 NA W 134.2 125.5 - 259.7 See footnotes at end of table. 220 Energy Information AdministrationPetroleum Marketing Annual 2001 Table 43. Refiner Motor...

  9. Volumes

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

    8,415.8 39,569.3 40,215.9 122,708.5 26,876.5 189,800.8 10,466.7 10,604.8 10,129.5 14,302.8 - 24,432.4 February ... 40,637.5 41,953.1 43,328.9 133,687.6...

  10. Volumes

    Gasoline and Diesel Fuel Update (EIA)

    9,369.5 40,816.0 42,057.4 126,970.8 38,559.5 207,587.7 9,892.3 10,063.7 W 15,155.9 W 25,989.9 February ... 41,671.7 43,092.9 43,590.9 131,633.0 37,204.6...

  11. VOLUME

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

    of the particle with external electromagnetic fields (i.e., wiggler, undulator) or media (i.e., transition radiation, Cerenkov, Smith-Purcell, etc.). The Fourier component,...

  12. Volumes

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear JanYearFuel Consumption0 0 0 1996-2013 Lease1,706.6

  13. Volumes

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 34 44Year JanDecade Year-0 Year-11,113,016 1,124,7170 09,369.5

  14. Volumes

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 34 44Year JanDecade Year-0 Year-11,113,016 1,124,7170

  15. Volumes

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 34 44Year JanDecade Year-0 Year-11,113,016 1,124,717041,706.6

  16. VOLUME

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps to Predict4 VARIATIONS IN7VOGTLE VOGTLE VOGTLE18

  17. VOLUME

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps to Predict4 VARIATIONS IN7VOGTLE VOGTLE

  18. VOLUME

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps to Predict4 VARIATIONS IN7VOGTLE VOGTLE0, NUMBER

  19. VOLUME

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps to Predict4 VARIATIONS IN7VOGTLE VOGTLE0,

  20. VOLUME

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps to Predict4 VARIATIONS IN7VOGTLE VOGTLE0,3 P H Y

  1. VOLUME

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps to Predict4 VARIATIONS IN7VOGTLE VOGTLE0,3 P H

  2. VOLUME

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps to Predict4 VARIATIONS IN7VOGTLE VOGTLE0,3 P H0

  3. VOLUME

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps to Predict4 VARIATIONS IN7VOGTLE VOGTLE0,3 P

  4. VOLUME

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps to Predict4 VARIATIONS IN7VOGTLE VOGTLE0,3

  5. VOLUME

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps to Predict4 VARIATIONS IN7VOGTLE VOGTLE0,318 P H

  6. Programmatic methods for addressing contaminated volume uncertainties.

    SciTech Connect (OSTI)

    DURHAM, L.A.; JOHNSON, R.L.; RIEMAN, C.R.; SPECTOR, H.L.; Environmental Science Division; U.S. ARMY CORPS OF ENGINEERS BUFFALO DISTRICT

    2007-01-01T23:59:59.000Z

    Accurate estimates of the volumes of contaminated soils or sediments are critical to effective program planning and to successfully designing and implementing remedial actions. Unfortunately, data available to support the preremedial design are often sparse and insufficient for accurately estimating contaminated soil volumes, resulting in significant uncertainty associated with these volume estimates. The uncertainty in the soil volume estimates significantly contributes to the uncertainty in the overall project cost estimates, especially since excavation and off-site disposal are the primary cost items in soil remedial action projects. The Army Corps of Engineers Buffalo District's experience has been that historical contaminated soil volume estimates developed under the Formerly Utilized Sites Remedial Action Program (FUSRAP) often underestimated the actual volume of subsurface contaminated soils requiring excavation during the course of a remedial activity. In response, the Buffalo District has adopted a variety of programmatic methods for addressing contaminated volume uncertainties. These include developing final status survey protocols prior to remedial design, explicitly estimating the uncertainty associated with volume estimates, investing in predesign data collection to reduce volume uncertainties, and incorporating dynamic work strategies and real-time analytics in predesign characterization and remediation activities. This paper describes some of these experiences in greater detail, drawing from the knowledge gained at Ashland1, Ashland2, Linde, and Rattlesnake Creek. In the case of Rattlesnake Creek, these approaches provided the Buffalo District with an accurate predesign contaminated volume estimate and resulted in one of the first successful FUSRAP fixed-price remediation contracts for the Buffalo District.

  7. Texas Rice, Volume V, Number 1

    E-Print Network [OSTI]

    at this point, and in the manner that is being proposed, is analogous to changing a loan contract in mid-stream. Some things just aren’t done. The push to redirect a significant amount of Hatch funding, as presented, is similarly poorly thought out. On paper... provide non-federal matching funds for at least 50 percent of the project cost, of which 50 percent may be from in-kind contributions. Projects may be single or multi year, not to ex- ceed three years. For more information contact Claude Ross at (254) 742...

  8. Scuttlebutt Volume 2, No. 1

    E-Print Network [OSTI]

    2008-01-01T23:59:59.000Z

    , of the USS Genesis. To CPT Kieran Bock and his crew, the officers and crew of the Southern Cross send their very best wishes and congratulations, and we wish them fair seas and LOTS of stars to follow. The ScuttleButt Volume 2, Issue 1 5 USS Atlantis... will be forwarded separately to each individual member. Please forward any enquiries to the Intel Officer - ENS Ashley Walker on alwalk78@optusnet.com.au. ENS Ashley Walker Operations Intelligence Officer Welcoming New Crewmembers Savannah Clark Daniel...

  9. Scuttlebutt Volume 2, No. 4

    E-Print Network [OSTI]

    2008-01-01T23:59:59.000Z

    ?s Sunshine Award & Crewmember of the Year Award. Polls close on Friday, July 18. Crewmembers may vote in the official site, http://groups.yahoo.com/group/uss-southerncrossawards/. The results Will be announced at the Summit. Summit Event Venues... of our good friends in Adelaide, reacquaint myself with my ?old? mates and make friends with new ones. See you in SA. COL Bruce O?Brien Commanding Officer Newsletter Publisher http://www.uss-southerncross.com/ July / August 2008 Volume 2, Issue 4...

  10. Environmental Report 1995. Volume 1

    SciTech Connect (OSTI)

    Harrach, R.J.; Failor, R.A.; Gallegos, G.M. [and others

    1996-09-01T23:59:59.000Z

    This report contains the results of Lawrence Livermore National Laboratory`s (LLNL) environmental monitoring and compliance effort and an assessment of the impact of LLNL operations on the environment and the public. This first volume describes LLNL`s environmental impact and compliance activities and features descriptive and explanatory text, summary data tables, and plots showing data trends. The summary data include measures of the center of data, their spread or variability, and their extreme values. Chapters on monitoring air, sewage, surface water, ground water, soil and sediment, vegetation and foodstuff, and environmental radiation are present.

  11. Mechanical properties of near-{gamma} titanium aluminides reinforced with high volume percentages of TiB{sub 2}

    SciTech Connect (OSTI)

    VanMeter, M.L. [Naval Air Warfare center, Patuxent River, MD (United States). Aircraft Div.] [Naval Air Warfare center, Patuxent River, MD (United States). Aircraft Div.; Kampe, S.L. [Virginia Polytechnic Inst. and State Univ., Blacksburg, VA (United States)] [Virginia Polytechnic Inst. and State Univ., Blacksburg, VA (United States); Christodoulou, L. [Imperial Coll. of Science, Technology, and Medicine, London (United Kingdom)] [Imperial Coll. of Science, Technology, and Medicine, London (United Kingdom)

    1996-04-15T23:59:59.000Z

    Near-{gamma} ({alpha}{sub 2}-Ti{sub 3}Al + {gamma}-TiAl) titanium aluminide intermetallic compounds are presently undergoing extensive development as potential lower-density substitutes for conventional high temperature metallic alloys. In this article the authors describe the mechanical behavior of a series of binary near-{gamma} titanium aluminides (i.e., Ti-xAl, where x {approx} 43--48 atomic percent) reinforced with 40--50 volume percent (v%) of a discontinuous dispersion of titanium diboride (TiB{sub 2}) particulate. The composites were synthesized via XD{reg_sign} processing, and subsequently consolidated into bulk form using conventional powder metallurgy (P/M) techniques. For composites comprised of such large volume percentages of ceramic, it is suggested and will be shown that it is most appropriate to evaluate and offer a perspective of their evolved mechanical behavior through their comparison to traditional structural ceramics, e.g., silicon carbide (SiC) and alumina (Al{sub 2}O{sub 3}).

  12. A distributed computing environment for volume visualization

    E-Print Network [OSTI]

    Barua, Sandip Pannalal

    1992-01-01T23:59:59.000Z

    in computer-aided instruction, and can be expected to be widely used in medical classrooms in the near future. Figure Remot W kststloos High Bandwidth I Li& I I I I I High Performance Computer Fig. 2. A real-time multi-user environment 2 could... Page Volume Rendering Time 48 Normalized and Processor Performance Compensated Volume Ren- dering Time 49 III Computation Overhead - Ray Trace Phase 51 IV Computation Overhead - Volume Build Phase . 51 CHAPTER I INTRODUCTION I. A Scientific...

  13. Petroleum supply annual 1995: Volume 1

    SciTech Connect (OSTI)

    NONE

    1996-05-01T23:59:59.000Z

    The {ital Petroleum Supply Annual} contains information on supply and disposition of crude oil and petroleum products. It reflects data collected from the petroleum industry during 1995 through monthly surveys, and it is divided into 2 volumes. This volume contains three sections: summary statistics, detailed statistics, and selected refinery statistics, each with final annual data. (The other volume contains final statistics for each month and replaces data previously published in the {ital Petroleum Supply Monthly}).

  14. A distributed computing environment for volume visualization 

    E-Print Network [OSTI]

    Barua, Sandip Pannalal

    1992-01-01T23:59:59.000Z

    in computer-aided instruction, and can be expected to be widely used in medical classrooms in the near future. Figure Remot W kststloos High Bandwidth I Li& I I I I I High Performance Computer Fig. 2. A real-time multi-user environment 2 could... Page Volume Rendering Time 48 Normalized and Processor Performance Compensated Volume Ren- dering Time 49 III Computation Overhead - Ray Trace Phase 51 IV Computation Overhead - Volume Build Phase . 51 CHAPTER I INTRODUCTION I. A Scientific...

  15. Photoexcitation of a Volume Plasmon in Buckyballs

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

    Photoexcitation of a Volume Plasmon in Buckyballs Print For molecules made from a single element, buckyballs (carbon-60) are very large. They mark the transition from atoms to...

  16. Clay Mathematics Proceedings Volume 12, 2009

    E-Print Network [OSTI]

    Sart, Remi

    Clay Mathematics Proceedings Volume 12, 2009 Renormalization in connected graded Hopf cO2008 Clay Mathemat* *ics Institute 1 #12

  17. Petroleum supply annual, 1997. Volume 1

    SciTech Connect (OSTI)

    NONE

    1998-06-01T23:59:59.000Z

    The Petroleum Supply Annual (PSA) contains information on the supply and disposition of crude oil and petroleum products. The publication reflects data that were collected from the petroleum industry during 1997 through annual and monthly surveys. The PSA is divided into two volumes. This first volume contains three sections: Summary Statistics, Detailed Statistics, and Refinery Statistics; each with final annual data. The second volume contains final statistics for each month of 1997, and replaces data previously published in the Petroleum Supply Monthly (PSM). The tables in Volumes 1 and 2 are similarly numbered to facilitate comparison between them. 16 figs., 48 tabs.

  18. Petroleum supply annual 1998: Volume 1

    SciTech Connect (OSTI)

    NONE

    1999-06-01T23:59:59.000Z

    The ``Petroleum Supply Annual`` (PSA) contains information on the supply and disposition of crude oil and petroleum products. The publication reflects data that were collected from the petroleum industry during 1998 through annual and monthly surveys. The PSA is divided into two volumes. This first volume contains three sections: Summary Statistics, Detailed Statistics, and Refinery Statistics; each with final annual data. The second volume contains final statistics for each month of 1998, and replaces data previously published in the PSA. The tables in Volumes 1 and 2 are similarly numbered to facilitate comparison between them. 16 figs., 59 tabs.

  19. Water Quality Program, Volume 1 (Alabama)

    Broader source: Energy.gov [DOE]

    This volume of the water quality program mainly deals with the National Pollutant Discharge Elimination System. National Pollutant Discharge Elimination System" or "(NPDES)" means the national...

  20. Volume, Number of Shipments Surpass Goals

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

    Laboratory," said Pete Maggiore, assistant manager for environmental operations at the NNSA Los Alamos Site Office. "We exceeded our goals and are on track to double both volume...

  1. Water Quality Program, Volume 2 (Alabama)

    Broader source: Energy.gov [DOE]

    This volume of the water quality program mainly deals with Technical Standards, Corrective Action Requirements and Financial Responsibility for Owners and Operators of Underground Storage Tanks....

  2. ARE Update Volume 13, Number 4

    E-Print Network [OSTI]

    2010-01-01T23:59:59.000Z

    Use of U.S. Croplands for Biofuels In- creases Greenhousea mini- mum volume of biofuels and requires a nationalper unit of various biofuels. For example, corn ethanol

  3. Volume 7, No.4Volume 7, No.4 2012 Year in Review

    E-Print Network [OSTI]

    US Army Corps of Engineers

    Volume 7, No.4Volume 7, No.4 2012 Year in Review Special Focus: Taking Care of our Wounded Warriors Focus: Year in Review onthecover The Southwestern Division takes a look back at the year 2012 through

  4. Volume III, Issue 5 your connection

    E-Print Network [OSTI]

    Homes, Christopher C.

    .gov/pub/presspass/ press_releases/2013/Mu- on-g-2-201305-images.html Solar Farm Cranking Out 23 Percent More Energy Bring advanced forecasting models and techniques through a recently awarded Department of Energy grant. To learn for definitive proof. So the experiment is being dismantled and moved to the Department of Energy's Fermi

  5. Ammonium nitrate, urea, and biuret fertilizers increase volume growth of 57-year-old douglas-fir trees within a gradient of nitrogen deficiency. Forest Service research paper

    SciTech Connect (OSTI)

    Miller, R.E.; Reukema, D.L.; Hazard, J.W.

    1996-03-01T23:59:59.000Z

    In a nitrogen-deficient plantation in southwest Washington, the authors (1) compared effects of 224 kg N/ha as ammonium nitrate, urea, and biuret on volume growth of dominant and codominant Douglas-fir (Pseudotsuga menziesii var. menziesii (Mirb.) Franco); (2) determined how 8-year response of these trees to fertilization was related to their distance from a strip of the plantation interplanted with nitrogen-fixing red alder (alnus rubra Bong.); and (3) observed effects of biuret on understory vegetation. On both sides of the strip centerline, the authors grouped subject trees into 30 plots of 4 trees each, based on slope position and distance from alder. The authors randomly assigned three fertilizers and a control within each plot. They analyzed separately data from east and west of the mixed stand certerline. Initial volume differed greatly among the 120 trees on each side, so they used covariance analysis to adjust observed treatment means. Adjusted mean volume growth was increased (p equal to or less than 0.10) by 22 to 28 percent on the east side and by 11 to 14 percent on the west side, with no significant difference in response to the three fertilizers.

  6. A coarse entropy-rigidity theorem and discrete length-volume inequalities

    E-Print Network [OSTI]

    Kinneberg, Kyle Edward

    2014-01-01T23:59:59.000Z

    A discrete length-volume inequality . . . . . . . .v 3 Length-volume inequalities revisitedlength-volume inequality for cubes . . . . . . . . . . . .

  7. Direct Rendering of Deformable Volume Data Shiaofen Fang

    E-Print Network [OSTI]

    Fang, Shiaofen

    Direct Rendering of Deformable Volume Data Shiaofen Fang Department of Computer and Information In this paper, we present a new deformable volume rendering algorithm. The volume deformation is modeled to directly render the deformed volume without going through the expensive volume construction process

  8. Summary Max Total Units

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014,Zaleski -Blueprint | DepartmentExcellenceGuidanceS EM Pr ETR R UnSummary

  9. Information architecture. Volume 3: Guidance

    SciTech Connect (OSTI)

    NONE

    1997-04-01T23:59:59.000Z

    The purpose of this document, as presented in Volume 1, The Foundations, is to assist the Department of Energy (DOE) in developing and promulgating information architecture guidance. This guidance is aimed at increasing the development of information architecture as a Departmentwide management best practice. This document describes departmental information architecture principles and minimum design characteristics for systems and infrastructures within the DOE Information Architecture Conceptual Model, and establishes a Departmentwide standards-based architecture program. The publication of this document fulfills the commitment to address guiding principles, promote standard architectural practices, and provide technical guidance. This document guides the transition from the baseline or defacto Departmental architecture through approved information management program plans and budgets to the future vision architecture. This document also represents another major step toward establishing a well-organized, logical foundation for the DOE information architecture.

  10. Ironmaking conference proceedings. Volume 54

    SciTech Connect (OSTI)

    NONE

    1995-12-01T23:59:59.000Z

    The technical presentations at this conference displayed a renewed sense of viability of the coke and ironmaking community. In addition, many of the papers show that the environmental aspects of ironmaking are being integrated into day-to-day operations rather than being thought of as separate responsibilities. This volume contains 68 papers divided into the following sections: Blast furnace injection; Blast furnace fundamental studies; Blast furnace general; Blast furnace repairs/rebuilds/modernization; Process control techniques for blast furnaces; Cokemaking general; Cokemaking environmental; Coke--by-products--plant operations; Coal and coke research; Battery operations; Pelletizing; Direct reduction and smelting; and Sintering. Most of the papers have been processed separately for inclusion on the data base.

  11. Dimensional SPC for low-volume production

    E-Print Network [OSTI]

    Chin, Chang-Ho

    1999-01-01T23:59:59.000Z

    . To make up for the weaknesses of SPC in low-volume production, a new method to test data independence, a new plot to describe the similarity between two charts, and two modified graphical tools are proposed. In low-volume production, it is frequently hard...

  12. Programmatic methods for addressing contaminated volume uncertainties

    SciTech Connect (OSTI)

    Rieman, C.R.; Spector, H.L. [U.S. Army Corps of Engineers Buffalo District, Buffalo, NY (United States); Durham, L.A.; Johnson, R.L. [Argonne National Laboratory, Environmental Science Div., IL (United States)

    2007-07-01T23:59:59.000Z

    Accurate estimates of the volumes of contaminated soils or sediments are critical to effective program planning and to successfully designing and implementing remedial actions. Unfortunately, data available to support the pre-remedial design are often sparse and insufficient for accurately estimating contaminated soil volumes, resulting in significant uncertainty associated with these volume estimates. The uncertainty in the soil volume estimates significantly contributes to the uncertainty in the overall project cost estimates, especially since excavation and off-site disposal are the primary cost items in soil remedial action projects. The U.S. Army Corps of Engineers Buffalo District's experience has been that historical contaminated soil volume estimates developed under the Formerly Utilized Sites Remedial Action Program (FUSRAP) often underestimated the actual volume of subsurface contaminated soils requiring excavation during the course of a remedial activity. In response, the Buffalo District has adopted a variety of programmatic methods for addressing contaminated volume uncertainties. These include developing final status survey protocols prior to remedial design, explicitly estimating the uncertainty associated with volume estimates, investing in pre-design data collection to reduce volume uncertainties, and incorporating dynamic work strategies and real-time analytics in pre-design characterization and remediation activities. This paper describes some of these experiences in greater detail, drawing from the knowledge gained at Ashland 1, Ashland 2, Linde, and Rattlesnake Creek. In the case of Rattlesnake Creek, these approaches provided the Buffalo District with an accurate pre-design contaminated volume estimate and resulted in one of the first successful FUSRAP fixed-price remediation contracts for the Buffalo District. (authors)

  13. Fundamental Kinetics Database Utilizing Shock Tube Measurements (Volumes 1, 2, 3, 4, and Volume 6)

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

    Davidson, D. F.; Hanson, R. K

    The data from shock tube experiments generally takes three forms: ignition delay times, species concentration time-histories and reaction rate measurements. Volume 1 focuses on ignition delay time data measured and published by the Shock Tube Group in the Mechanical Engineering Department of Stanford University. The cut-off date for inclusion into this volume was January 2005. Volume 2 focuses on species concentration time-histories and was cut off December 2005. The two volumes are in PDF format and are accompanied by a zipped file of supporting data. Volume 3 was issued in 2009. Volume 4, Ignition delay times measurements came out in May, 2014, along with Reaction Rates Measurements, Vol 6. Volume 5 is not available at this time.

  14. ISpace: Interactive Volume Data Classification Techniques Using Independent Component Analysis

    E-Print Network [OSTI]

    Ma, Kwan-Liu

    , multivariate data analysis, multimodality data, scientific visualization, seg- mentation, volume rendering 1ISpace: Interactive Volume Data Classification Techniques Using Independent Component Analysis, which uses Independent Component Analysis (ICA) and a multi- dimensional histogram of the volume data

  15. Air-Side Energy Use Calculations for Four HVAC Systems: Dual Duct Constant Volume (DDCAV), Dual Duct Variable Volume (DDVAV), Constant Volume with Reheat (CAVRH0), Variable Volume with Reheat (VAVRH)

    E-Print Network [OSTI]

    Haberl, J. S.

    2001-01-01T23:59:59.000Z

    This report contains engineering calculations for four (4) air-side, heating, ventilating and air-conditioning systems (HVAC) systems, including: dual duct constant volume (DDCAV), dual duct variable volume (DDVAV), constant volume with reheat...

  16. Building America Best Practices Series: Volume 12. EnergyRenovations...

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

    Building America Best Practices Series: Volume 12. Energy Renovations-Insulation: A Guide for Contractors to Share With Homeowners Building America Best Practices Series: Volume...

  17. Independent Oversight Inspection, Nevada Test Site, Volume 2...

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

    Volume 2 - September 2004 Independent Oversight Inspection, Nevada Test Site, Volume 2 - September 2004 September 2004 Inspection of Emergency Management at the Nevada Test Site...

  18. Advanced Materials and Processing of Composites for High Volume...

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

    -- Washington D.C. lm021zaluzec2010o.pdf More Documents & Publications Advanced Materials and Processing of Composites for High Volume Applications ACC115 High Volume...

  19. Advanced Materials and Processing of Composites for High Volume...

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

    Advanced Materials and Processing of Composites for High Volume Applications Advanced Materials and Processing of Composites for High Volume Applications 2011 DOE Hydrogen and Fuel...

  20. Volume 9, Issue 2 pet center of excellence

    E-Print Network [OSTI]

    Jadvar, Hossein

    study that compared Ga-68-DOTA-NOC PET/computed tomogra- phy (CT) with CT alone, the sensitivity for PET/CT, respectively, and 80 percent and 98 percent for CT alone, respec- tively9 . In another single center study involving 109 patients with GEP NETs, PET/CT was more accurate than conventional imaging

  1. Sandia Software Guidelines, Volume 2. Documentation

    SciTech Connect (OSTI)

    NONE

    1995-09-01T23:59:59.000Z

    This volume is one in a series of Sandia Software Guidelines intended for use in producing quality software within Sandia National Laboratories. In consonance with the IEEE Standards for software documentation, this volume provides guidance in the selection of an adequate document set for a software project and example formats for many types of software documentation. A tutorial on life cycle documentation is also provided. Extended document thematic outlines and working examples of software documents are available on electronic media as an extension of this volume.

  2. Soil type: Metabasic soils have 50 to 80 percent more mineralizable C than granitic soils. The same soils appear to more efficiently retain TN and some TOC at greater depths. Very low DOC in both soils indicate efficient C utilization and incorporation in

    E-Print Network [OSTI]

    Norton, Jay B.

    Soil type: Metabasic soils have 50 to 80 percent more mineralizable C than granitic soils. The same indicate efficient C utilization and incorporation in microbial or SOM pools. Greater mineral N in granite percent. There is not evidence of the impact of increased available C on TOC in granitic soils. Soil

  3. Information architecture. Volume 4: Vision

    SciTech Connect (OSTI)

    NONE

    1998-03-01T23:59:59.000Z

    The Vision document marks the transition from definition to implementation of the Department of Energy (DOE) Information Architecture Program. A description of the possibilities for the future, supported by actual experience with a process model and tool set, points toward implementation options. The directions for future information technology investments are discussed. Practical examples of how technology answers the business and information needs of the organization through coordinated and meshed data, applications, and technology architectures are related. This document is the fourth and final volume in the planned series for defining and exhibiting the DOE information architecture. The targeted scope of this document includes DOE Program Offices, field sites, contractor-operated facilities, and laboratories. This document paints a picture of how, over the next 7 years, technology may be implemented, dramatically improving the ways business is conducted at DOE. While technology is mentioned throughout this document, the vision is not about technology. The vision concerns the transition afforded by technology and the process steps to be completed to ensure alignment with business needs. This goal can be met if those directing the changing business and mission-support processes understand the capabilities afforded by architectural processes.

  4. Intensity-modulated radiotherapy in patients with locally advanced rectal cancer reduces volume of bowel treated to high dose levels

    SciTech Connect (OSTI)

    Urbano, M. Teresa Guerrero [Department of Clinical Oncology, Royal Marsden NHS Trust, Sutton, Surrey (United Kingdom); Henrys, Anthony J. [Department of Clinical Oncology, Royal Marsden NHS Trust, Sutton, Surrey (United Kingdom); Adams, Elisabeth J. [Department of Clinical Oncology, Royal Marsden NHS Trust, Sutton, Surrey (United Kingdom); Norman, Andrew R. [Department of Clinical Oncology, Royal Marsden NHS Trust, Sutton, Surrey (United Kingdom); Bedford, James L. [Department of Clinical Oncology, Royal Marsden NHS Trust, Sutton, Surrey (United Kingdom); Harrington, Kevin J. [Department of Clinical Oncology, Royal Marsden NHS Trust, Sutton, Surrey (United Kingdom); Nutting, Christopher M. [Department of Clinical Oncology, Royal Marsden NHS Trust, Sutton, Surrey (United Kingdom); Dearnaley, David P. [Department of Clinical Oncology, Royal Marsden NHS Trust, Sutton, Surrey (United Kingdom); Tait, Diana M. [Department of Clinical Oncology, Royal Marsden NHS Trust, Sutton, Surrey (United Kingdom)]. E-mail: jenny.pearson@rmh.nthames.nhs.uk

    2006-07-01T23:59:59.000Z

    Purpose: To investigate the potential for intensity-modulated radiotherapy (IMRT) to spare the bowel in rectal tumors. Methods and Materials: The targets (pelvic nodal and rectal volumes), bowel, and bladder were outlined in 5 patients. All had conventional, three-dimensional conformal RT and forward-planned multisegment three-field IMRT plans compared with inverse-planned simultaneous integrated boost nine-field equally spaced IMRT plans. Equally spaced seven-field and five-field and five-field, customized, segmented IMRT plans were also evaluated. Results: Ninety-five percent of the prescribed dose covered at least 95% of both planning target volumes using all but the conventional plan (mean primary and pelvic planning target volume receiving 95% of the prescribed dose was 32.8 {+-} 13.7 Gy and 23.7 {+-} 4.87 Gy, respectively), reflecting a significant lack of coverage. The three-field forward planned IMRT plans reduced the volume of bowel irradiated to 45 Gy and 50 Gy by 26% {+-} 16% and 42% {+-} 27% compared with three-dimensional conformal RT. Additional reductions to 69 {+-} 51 cm{sup 3} to 45 Gy and 20 {+-} 21 cm{sup 3} to 50 Gy were obtained with the nine-field equally spaced IMRT plans-64% {+-} 11% and 64% {+-} 20% reductions compared with three-dimensional conformal RT. Reducing the number of beams and customizing the angles for the five-field equally spaced IMRT plan did not significantly reduce bowel sparing. Conclusion: The bowel volume irradiated to 45 Gy and 50 Gy was significantly reduced with IMRT, which could potentially lead to less bowel toxicity. Reducing the number of beams did not reduce bowel sparing and the five-field customized segmented IMRT plan is a reasonable technique to be tested in clinical trials.

  5. Infinite volume limit for the dipole gas

    E-Print Network [OSTI]

    J. Dimock

    2009-04-28T23:59:59.000Z

    We consider a classical dipole gas in with low activity and show that the pressure has a limit as the volume goes to infinity. The result is obtained by a renormalization group analysis of the model.

  6. Petroleum supply annual, 1997. Volume 2

    SciTech Connect (OSTI)

    NONE

    1998-06-01T23:59:59.000Z

    The Petroleum Supply Annual (PSA) contains information on the supply and disposition of crude oil and petroleum products. The publication reflects data that were collected from the petroleum industry during 1997 through monthly surveys. The PSA is divided into two volumes. The first volume contains three sections: Summary Statistics, Detailed Statistics, and Refinery Statistics; each with final annual data. The second volume contains final statistics for each month of 1997, and replaces data previously published in the Petroleum Supply Monthly (PSM). The tables in Volumes 1 and 2 are similarly numbered to facilitate comparison between them. Explanatory Notes, located at the end of this publication, present information describing data collection, sources, estimation methodology, data quality control procedures, modifications to reporting requirements and interpretation of tables. Industry terminology and product definitions are listed alphabetically in the Glossary. 35 tabs.

  7. Petroleum supply annual 1998: Volume 2

    SciTech Connect (OSTI)

    NONE

    1999-06-01T23:59:59.000Z

    The Petroleum Supply Annual (PSA) contains information on the supply and disposition of crude oil and petroleum products. The publication reflects data that were collected from the petroleum industry during 1998 through monthly surveys. The PSA is divided into two volumes. The first volume contains three sections: Summary Statistics, Detailed Statistics, and Refinery Statistics; each with final annual data. This second volume contains final statistics for each month of 1998, and replaces data previously published in the Petroleum Supply Monthly (PSM). The tables in Volumes 1 and 2 are similarly numbered to facilitate comparison between them. Explanatory Notes, located at the end of this publication, present information describing data collection, sources, estimation methodology, data quality control procedures, modifications to reporting requirements and interpretation of tables. Industry terminology and product definitions are listed alphabetically in the Glossary. 35 tabs.

  8. Petroleum supply annual 1994, Volume 2

    SciTech Connect (OSTI)

    NONE

    1995-06-01T23:59:59.000Z

    The Petroleum Supply Annual (PSA) contains information on the supply and disposition of crude oil and petroleum products. The publication reflects data that were collected from the petroleum industry during 1994 through annual and monthly surveys. The PSA is divided into two volumes. This first volume contains four sections: Summary Statistics, Detailed Statistics, Refinery Capacity, and Oxygenate Capacity each with final annual data. The second volume contains final statistics for each month of 1994, and replaces data previously published in the Petroleum Supply Monthly (PSM). The tables in Volumes 1 and 2 are similarly numbered to facilitate comparison between them. Explanatory Notes, located at the end of this publication, present information describing data collection, sources, estimation methodology, data quality control procedures, modifications to reporting requirements and interpretation of tables. Industry terminology and product definitions are listed alphabetically in the Glossary.

  9. Petroleum supply annual 1996: Volume 2

    SciTech Connect (OSTI)

    NONE

    1997-06-01T23:59:59.000Z

    The Petroleum Supply Annual (PSA) contains information on the supply and disposition of crude oil and petroleum products. The publication reflects data that were collected from the petroleum industry during 1996 through monthly surveys. The PSA is divided into two volumes. The first volume contains three sections: Summary Statistics, Detailed Statistics, and Refinery Capacity; each with final annual data. The second volume contains final statistics for each month of 1996, and replaces data previously published in the Petroleum Supply Monthly (PSM). The tables in Volumes 1 and 2 are similarly numbered to facilitate comparison between them. Explanatory Notes, located at the end of this publication, present information describing data collection, sources, estimation methodology, data quality control procedures, modifications to reporting requirements and interpretation of tables. Industry terminology and product definitions are listed alphabetically in the Glossary. 35 tabs.

  10. Petroleum supply annual 1995: Volume 2

    SciTech Connect (OSTI)

    NONE

    1996-06-01T23:59:59.000Z

    The Petroleum Supply Annual (PSA) contains information on the supply and disposition of crude oil and petroleum products. The publication reflects data that were collected from the petroleum industry during 1995 through monthly surveys. The PSA is divided into two volumes. This first volume contains three sections: Summary Statistics, Detailed Statistics, and selected Refinery Statistics each with final annual data. The second volume contains final statistics for each month of 1995, and replaces data previously published in the Petroleum Supply Monthly (PSM). The tables in Volumes 1 and 2 are similarly numbered to facilitate comparison between them. Explanatory Notes, located at the end of this publication, present information describing data collection, sources, estimation methodology, data quality control procedures, modifications to reporting requirements and interpretation of tables. Industry terminology and product definitions are listed alphabetically in the Glossary.

  11. Petroleum Supply Annual 1997, Volume 1

    Gasoline and Diesel Fuel Update (EIA)

    7, Volume 1 Entire . The entire report as a single file. PDF 1.0MB . . Front Matter . Cover Page, Contacts, Preface, and Table of Contents Page PDF . . Summary Statistics . Summary...

  12. Petroleum Supply Annual 1998, Volume 2

    Gasoline and Diesel Fuel Update (EIA)

    8, Volume 2 Entire . The entire report as a single file. PDF 3.8MB . . Front Matter . Cover Page, Contacts, Preface, and Table of Contents Page PDF . . Monthly Statistics Tables ....

  13. Variable volume architecture : expanding the boundary

    E-Print Network [OSTI]

    Saheba, Asheshh (Asheshh Mohit), 1972-

    2001-01-01T23:59:59.000Z

    Research into the creation of a Variable Volume Architecture is explored through a series of proposals and projects. An argument is established to develop the means and methods of achieving an architecture of transformation. ...

  14. Detonation Diffraction into a Confined Volume

    E-Print Network [OSTI]

    Polley, Nolan Lee

    2012-02-14T23:59:59.000Z

    little attention. Experimental work needs to be conducted on detonation diffraction into a confined volume to better understand how the interaction of the diffracted shock wave with a confining wall impacts the detonation diffraction process. Therefore, a...

  15. EDUCATING THE NEXT GENERATION More than 25 percent of graduate students, 21 percent of undergraduates and 50 percent of

    E-Print Network [OSTI]

    Bittner, Eric R.

    in fields spanning biology and biochemistry, kinesiology, psychology, mathematics, pharmacy, nutrition, biomedical engineering, pharmacy, optometry, computer science and computational physiology. PROMOTING INNOVATION The Center for Nuclear Receptors and Cell Signaling, led by world-renowned researcher Jan

  16. Volume 68, Numbers 1&2 (Complete)

    E-Print Network [OSTI]

    Dickson, Donald

    2010-01-01T23:59:59.000Z

    EVENTEENTH- ENTURY EWS SPRING - SUMMER 2010 Vol. 68 Nos. 1&2 Including THE NEO-LATIN NEWS Vol. 58, Nos. 1&2 Seventeenth-Century newS VOLUME 68, Nos. 1&2 SPRING-SUMMER, 2010 SCN... of the Lake University E. Joe Johnson, Clayton State University EDITORIAL ASSISTANTS Jacob Schornick, Texas A&M University contents volume 68, nos. 1&2 ............................... spring-summer, 2010 John Considine, Dictionaries in Early Modern Europe...

  17. Volume 60, Numbers 1&2 (Complete)

    E-Print Network [OSTI]

    Dickson, Donald

    2002-01-01T23:59:59.000Z

    EVENTEENTH- ENTURY EWS SPRING - SUMMER 2002 Vol. 60 Nos. 1&2 budleafswbudleafse Including THE NEO-LATIN NEWS Vol. 50, Nos. 1&2 SEVENTEENTH-CENTURY NEWS VOLUME 60, Nos. 1&2 SPRING-SUMMER, 2002 SCN, an official organ of the Milton Society... Meter, Texas A&M University CONTENTS VOLUME 60, Nos. 1&2 SPRING-SUMMER, 2002 REVIEWS ?Vocation Homily, George Herbert, and the Cultural Criticism: A Review Essay? by JONATHAN NAUMAN...

  18. PET functional volume delineation: a robustness and repeatability study

    E-Print Network [OSTI]

    Boyer, Edmond

    1 PET functional volume delineation: a robustness and repeatability study Mathieu Hatt1 , Ph: Robustness of functional volume determination in PET Keywords: PET uptake volume determination, robustness;2 Abstract Purpose: Current state of the art algorithms for functional uptake volume segmentation in PET

  19. Rendering Implicit Flow Volumes Daqing Xue, Caixia Zhang, Roger Crawfis*

    E-Print Network [OSTI]

    Crawfis, Roger

    Rendering Implicit Flow Volumes Daqing Xue, Caixia Zhang, Roger Crawfis* Department of Computer and then rendered using an unstructured volume rendering technique. Unless a detailed refinement of the flow volume-dimensional texture mapping and an interval volume segmentation coupled with a tetrahedron projection-based renderer

  20. Size distribution of recruited alveolar volumes in airway reopening

    E-Print Network [OSTI]

    Alencar, Adriano Mesquita

    during the reopening process can influence the distribution of recruited alveolar volumes and, hence, gas distribution of recruited alveolar volumes that become available for gas exchange during inflation from important quantity is the amount of alveolar volume available for gas exchange. This alveolar volume

  1. Volume painting: incorporating volumetric rendering with line integral convolution (LIC) 

    E-Print Network [OSTI]

    Lee, Jaewook

    2005-11-01T23:59:59.000Z

    (NPR) . . . . . . . . . . . . . 5 II.2. Volume Rendering . . . . . . . . . . . . . . . . . . . . . . . 5 II.3. Line Integral Convolution (LIC) . . . . . . . . . . . . . . . . 6 III METHODOLOGY . . . . . . . . . . . . . . . . . . . . . . . . . 8 III.1... INTRODUCTION In this thesis, we introduce a new Non-Photorealistic Rendering (NPR) technique, called Volume Painting. An example of Volume Painting is shown in Figure 1. Fig. 1. Volume Painting of the Implicit Geometry. During the last decade, NPR has become...

  2. Uranium in US surface, ground, and domestic waters. Volume 2

    SciTech Connect (OSTI)

    Drury, J.S.; Reynolds, S.; Owen, P.T.; Ross, R.H.; Ensminger, J.T.

    1981-04-01T23:59:59.000Z

    The report Uranium in US Surface, Ground, and Domestic Waters comprises four volumes. Volumes 2, 3, and 4 contain data characterizing the location, sampling date, type, use, and uranium conentrations of 89,994 individual samples presented in tabular form. The tabular data in volumes 2, 3, and 4 are summarized in volume 1 in narrative form and with maps and histograms.

  3. Volume Rendering by Adaptive Refinement (revised January, 1989)

    E-Print Network [OSTI]

    Stanford University

    . 1988; Sabella 1988; Upson and Keeler 1988). The principal advantages of volume rendering over other

  4. CONTAMINATED SOIL VOLUME ESTIMATE TRACKING METHODOLOGY

    SciTech Connect (OSTI)

    Durham, L.A.; Johnson, R.L.; Rieman, C.; Kenna, T.; Pilon, R.

    2003-02-27T23:59:59.000Z

    The U.S. Army Corps of Engineers (USACE) is conducting a cleanup of radiologically contaminated properties under the Formerly Utilized Sites Remedial Action Program (FUSRAP). The largest cost element for most of the FUSRAP sites is the transportation and disposal of contaminated soil. Project managers and engineers need an estimate of the volume of contaminated soil to determine project costs and schedule. Once excavation activities begin and additional remedial action data are collected, the actual quantity of contaminated soil often deviates from the original estimate, resulting in cost and schedule impacts to the project. The project costs and schedule need to be frequently updated by tracking the actual quantities of excavated soil and contaminated soil remaining during the life of a remedial action project. A soil volume estimate tracking methodology was developed to provide a mechanism for project managers and engineers to create better project controls of costs and schedule. For the FUSRAP Linde site, an estimate of the initial volume of in situ soil above the specified cleanup guidelines was calculated on the basis of discrete soil sample data and other relevant data using indicator geostatistical techniques combined with Bayesian analysis. During the remedial action, updated volume estimates of remaining in situ soils requiring excavation were calculated on a periodic basis. In addition to taking into account the volume of soil that had been excavated, the updated volume estimates incorporated both new gamma walkover surveys and discrete sample data collected as part of the remedial action. A civil survey company provided periodic estimates of actual in situ excavated soil volumes. By using the results from the civil survey of actual in situ volumes excavated and the updated estimate of the remaining volume of contaminated soil requiring excavation, the USACE Buffalo District was able to forecast and update project costs and schedule. The soil volume tracking methodology helped the USACE Buffalo District track soil quantity changes from projected excavation work over time and across space, providing the basis for an explanation of some of the project cost and schedule variances.

  5. ACHIEVING CALIFORNIA'S 33 PERCENT RENEWABLE PORTFOLIO

    E-Print Network [OSTI]

    affect estimated overall costs and risks associated with alternate portfolios of generating resources........................................................................................................ 1 Chapter 2: Using the Capital asset pricing model approach to estimate the market price referent ...... system costs and, importantly, examine cost/risk interrelationships associated with this mandate

  6. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel Ethanol0

  7. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel Ethanol02

  8. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel Ethanol026

  9. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel Ethanol0268

  10. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel

  11. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel2

  12. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel24 Delaware

  13. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel24 Delaware6

  14. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel24

  15. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240 Georgia

  16. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240 Georgia4

  17. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240

  18. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel2408

  19. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel24080

  20. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240802 Iowa

  1. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240802 Iowa4

  2. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240802

  3. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel2408028

  4. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel24080280

  5. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240802802

  6. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel2408028024

  7. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel24080280246

  8. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240802802468

  9. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

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

  10. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri - Natural

  11. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri - Natural4

  12. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -

  13. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -8 Nevada

  14. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -8 Nevada0

  15. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -8

  16. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -84 New

  17. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -84 New6

  18. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -84 New68

  19. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -84

  20. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -842 Ohio

  1. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -842 Ohio4

  2. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -842

  3. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -8428

  4. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -84280

  5. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -842802

  6. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -8428024

  7. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -84280246

  8. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -842802468

  9. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri

  10. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri2 Vermont -

  11. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri2 Vermont

  12. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri2 Vermont6

  13. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri2 Vermont68

  14. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri2

  15. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri22 Wyoming

  16. Architectures of Test Automation 1 High Volume Test AutomationHigh Volume Test Automation

    E-Print Network [OSTI]

    Architectures of Test Automation 1 High Volume Test AutomationHigh Volume Test Automation Cem Kaner Institute of Technology October 2003 #12;Architectures of Test Automation 2 Acknowledgements developed a course on test automation architecture, and in the Los Altos Workshops on Software Testing

  17. Application of Volume diffraction grating for TeraHertz lasing in Volume FEL (VFEL)

    E-Print Network [OSTI]

    V. G. Baryshevsky; K. G. Batrakov; V. I. Stolyarsky

    2002-09-06T23:59:59.000Z

    The generation of induced radiation in volume resonator formed by metal threads is considered. It is shown that using of such volume diffraction grating allows increasing of lasing efficiency in terahertz range. The requirements on beam and grating parameters are obtained.

  18. Parameter Analysis of the VPIN (Volume synchronized Probability of Informed Trading) Metric

    SciTech Connect (OSTI)

    Song, Jung Heon; Wu, Kesheng; Simon, Horst D.

    2014-03-01T23:59:59.000Z

    VPIN (Volume synchronized Probability of Informed trading) is a leading indicator of liquidity-induced volatility. It is best known for having produced a signal more than hours before the Flash Crash of 2010. On that day, the market saw the biggest one-day point decline in the Dow Jones Industrial Average, which culminated to the market value of $1 trillion disappearing, but only to recover those losses twenty minutes later (Lauricella 2010). The computation of VPIN requires the user to set up a handful of free parameters. The values of these parameters significantly affect the effectiveness of VPIN as measured by the false positive rate (FPR). An earlier publication reported that a brute-force search of simple parameter combinations yielded a number of parameter combinations with FPR of 7percent. This work is a systematic attempt to find an optimal parameter set using an optimization package, NOMAD (Nonlinear Optimization by Mesh Adaptive Direct Search) by Audet, le digabel, and tribes (2009) and le digabel (2011). We have implemented a number of techniques to reduce the computation time with NOMAD. Tests show that we can reduce the FPR to only 2percent. To better understand the parameter choices, we have conducted a series of sensitivity analysis via uncertainty quantification on the parameter spaces using UQTK (Uncertainty Quantification Toolkit). Results have shown dominance of 2 parameters in the computation of FPR. Using the outputs from NOMAD optimization and sensitivity analysis, We recommend A range of values for each of the free parameters that perform well on a large set of futures trading records.

  19. Spent Fuel Working Group Report. Volume 1

    SciTech Connect (OSTI)

    O`Toole, T.

    1993-11-01T23:59:59.000Z

    The Department of Energy is storing large amounts of spent nuclear fuel and other reactor irradiated nuclear materials (herein referred to as RINM). In the past, the Department reprocessed RINM to recover plutonium, tritium, and other isotopes. However, the Department has ceased or is phasing out reprocessing operations. As a consequence, Department facilities designed, constructed, and operated to store RINM for relatively short periods of time now store RINM, pending decisions on the disposition of these materials. The extended use of the facilities, combined with their known degradation and that of their stored materials, has led to uncertainties about safety. To ensure that extended storage is safe (i.e., that protection exists for workers, the public, and the environment), the conditions of these storage facilities had to be assessed. The compelling need for such an assessment led to the Secretary`s initiative on spent fuel, which is the subject of this report. This report comprises three volumes: Volume I; Summary Results of the Spent Fuel Working Group Evaluation; Volume II, Working Group Assessment Team Reports and Protocol; Volume III; Operating Contractor Site Team Reports. This volume presents the overall results of the Working Group`s Evaluation. The group assessed 66 facilities spread across 11 sites. It identified: (1) facilities that should be considered for priority attention. (2) programmatic issues to be considered in decision making about interim storage plans and (3) specific vulnerabilities for some of these facilities.

  20. Dark Radiation in Anisotropic LARGE Volume Compactifications

    E-Print Network [OSTI]

    Stephen Angus

    2014-10-30T23:59:59.000Z

    Dark radiation is a compelling extension to $\\Lambda$CDM: current experimental results hint at $\\Delta N_{\\rm eff} \\gtrsim 0.5$, which is increased to $\\Delta N_{\\rm eff} \\simeq 1$ if the recent BICEP2 results are included. In recent years dark radiation has been considered in the context of string theory models such as the LARGE Volume Scenario of type IIB string theory, forging a link between present-day cosmological observations and models of physics at the Planck scale. In this paper I consider an extension of the LARGE Volume Scenario in which the bulk volume is stabilised by two moduli instead of one. Consequently, the lightest modulus no longer corresponds to the compactification volume but instead to a transverse direction in the bulk geometry. I focus on scenarios in which sequestering of soft masses is achieved by localising the Standard Model on D3 branes at a singularity. The fraction of dark radiation produced in such models vastly exceeds experimental bounds, ruling out the sequestered LARGE Volume Scenario with two bulk moduli as a model of the early Universe.

  1. JOURNAL DE PHYSIQUE IV Colloque C9, suppltment au Journal de Physique HI, Volume 4, novembre 1994

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    synchrotrons and storage rings initially built for elementary particle physics. The first machines used radiation went into operation: SRS (Daresbury), Bessy (Berlin), Max (Lund), Aladdin (Wisconsin), NSLS

  2. Model documentation natural gas transmission and distribution model (NGTDM) of the national energy modeling system. Volume II: Model developer`s report

    SciTech Connect (OSTI)

    Not Available

    1995-01-03T23:59:59.000Z

    To partially fulfill the requirements for {open_quotes}Model Acceptance{close_quotes} as stipulated in EIA Standard 91-01-01 (effective February 3, 1991), the Office of Integrated Analysis and Forecasting has conducted tests of the Natural Gas Transmission and Distribution Model (NGTDM) for the specific purpose of validating the forecasting model. This volume of the model documentation presents the results of {open_quotes}one-at-a-time{close_quotes} sensitivity tests conducted in support of this validation effort. The test results are presented in the following forms: (1) Tables of important model outputs for the years 2000 and 2010 are presented with respect to change in each input from the reference case; (2) Tables of percent changes from base case results for the years 2000 and 2010 are presented for important model outputs; (3) Tables of conditional sensitivities (percent change in output/percent change in input) for the years 2000 and 2010 are presented for important model outputs; (4) Finally, graphs presenting the percent change from base case results for each year of the forecast period are presented for selected key outputs. To conduct the sensitivity tests, two main assumptions are made in order to test the performance characteristics of the model itself and facilitate the understanding of the effects of the changes in the key input variables to the model on the selected key output variables: (1) responses to the amount demanded do not occur since there are no feedbacks of inputs from other NEMS models in the stand-alone NGTDM run. (2) All the export and import quantities from and to Canada and Mexico, and liquefied natural gas (LNG) imports and exports are held fixed (i.e., there are no changes in imports and exports between the reference case and the sensitivity cases) throughout the forecast period.

  3. Time varying, multivariate volume data reduction

    SciTech Connect (OSTI)

    Ahrens, James P [Los Alamos National Laboratory; Fout, Nathaniel [UC DAVIS; Ma, Kwan - Liu [UC DAVIS

    2010-01-01T23:59:59.000Z

    Large-scale supercomputing is revolutionizing the way science is conducted. A growing challenge, however, is understanding the massive quantities of data produced by large-scale simulations. The data, typically time-varying, multivariate, and volumetric, can occupy from hundreds of gigabytes to several terabytes of storage space. Transferring and processing volume data of such sizes is prohibitively expensive and resource intensive. Although it may not be possible to entirely alleviate these problems, data compression should be considered as part of a viable solution, especially when the primary means of data analysis is volume rendering. In this paper we present our study of multivariate compression, which exploits correlations among related variables, for volume rendering. Two configurations for multidimensional compression based on vector quantization are examined. We emphasize quality reconstruction and interactive rendering, which leads us to a solution using graphics hardware to perform on-the-fly decompression during rendering. In this paper we present a solution which addresses the need for data reduction in large supercomputing environments where data resulting from simulations occupies tremendous amounts of storage. Our solution employs a lossy encoding scheme to acrueve data reduction with several options in terms of rate-distortion behavior. We focus on encoding of multiple variables together, with optional compression in space and time. The compressed volumes can be rendered directly with commodity graphics cards at interactive frame rates and rendering quality similar to that of static volume renderers. Compression results using a multivariate time-varying data set indicate that encoding multiple variables results in acceptable performance in the case of spatial and temporal encoding as compared to independent compression of variables. The relative performance of spatial vs. temporal compression is data dependent, although temporal compression has the advantage of offering smooth animations, while spatial compression can handle volumes of larger dimensions.

  4. Volume 62, Numbers 1&2 (Complete)

    E-Print Network [OSTI]

    Dickson, Donald

    2004-01-01T23:59:59.000Z

    EVENTEENTH- ENTURY EWS SPRING - SUMMER 2004 Vol. 62 Nos. 1&2 budleafswbudleafse Including THE NEO-LATIN NEWS Vol. 52, Nos. 1&2 SEVENTEENTH-CENTURY NEWS VOLUME 62, Nos. 1&2 SPRING-SUMMER, 2004 SCN, an official organ of the Milton Society... ASSISTANTS Christopher E. Garrett, Texas A&M University Christopher L. Morrow, Texas A&M University Larry A. Van Meter, Texas A&M University CONTENTS VOLUME 62, NOS. 1&2 SPRING-SUMMER, 2004 REVIEWS D. Loewenstein and J. Mueller, eds., The Cambridge History...

  5. Volume 63, Numbers 1&2 (Complete)

    E-Print Network [OSTI]

    Dickson, Donald

    2005-01-01T23:59:59.000Z

    EVENTEENTH- ENTURY EWS SPRING - SUMMER 2005 Vol. 63 Nos. 1&2 Including THE NEO-LATIN NEWS Vol. 53, Nos. 1&2 SEVENTEENTH-CENTURY NEWS VOLUME 63, Nos. 1&2 SPRING-SUMMER, 2005 SCN, an official organ of the Milton Society of America... Christopher E. Garrett, Texas A&M University Michael Mattair, Texas A&M University CONTENTS VOLUME 63, NOS. 1&2 SPRING-SUMMER, 2005 REVIEWS William A. Dyrness, Reformed Theology and Visual Culture: the Protestant Imagination from Calvin to Edwards. Review...

  6. Kinetic bounding volume hierarchies for deformable objects

    E-Print Network [OSTI]

    Gabriel Zachmann; Tu Clausthal

    2006-01-01T23:59:59.000Z

    We present novel algorithms for updating bounding volume hierarchies of objects undergoing arbitrary deformations. Therefore, we introduce two new data structures, the kinetic AABB tree and the kinetic BoxTree. The event-based approach of the kinetic data structures framework enables us to show that our algorithms are optimal in the number of updates. Moreover, we show a lower bound for the total number of BV updates, which is independent of the number of frames. We used our kinetic bounding volume hierarchies for collision detection and performed a comparison with the classical bottomup update method. The results show that our algorithms perform up to ten times faster in practically relevant scenarios.

  7. Method of measuring a liquid pool volume

    DOE Patents [OSTI]

    Garcia, G.V.; Carlson, N.M.; Donaldson, A.D.

    1991-03-19T23:59:59.000Z

    A method of measuring a molten metal liquid pool volume and in particular molten titanium liquid pools is disclosed, including the steps of (a) generating an ultrasonic wave at the surface of the molten metal liquid pool, (b) shining a light on the surface of a molten metal liquid pool, (c) detecting a change in the frequency of light, (d) detecting an ultrasonic wave echo at the surface of the molten metal liquid pool, and (e) computing the volume of the molten metal liquid. 3 figures.

  8. Multiple volume compressor for hot gas engine

    DOE Patents [OSTI]

    Stotts, Robert E. (Clifton Park, NY)

    1986-01-01T23:59:59.000Z

    A multiple volume compressor for use in a hot gas (Stirling) engine having a plurality of different volume chambers arranged to pump down the engine when decreased power is called for and return the working gas to a storage tank or reservoir. A valve actuated bypass loop is placed over each chamber which can be opened to return gas discharged from the chamber back to the inlet thereto. By selectively actuating the bypass valves, a number of different compressor capacities can be attained without changing compressor speed whereby the capacity of the compressor can be matched to the power available from the engine which is used to drive the compressor.

  9. Control-volume representation of molecular dynamics

    E-Print Network [OSTI]

    E. R. Smith; D. M. Heyes; D. Dini; T. A. Zaki

    2012-05-24T23:59:59.000Z

    A Molecular Dynamics (MD) parallel to the Control Volume (CV) formulation of fluid mechanics is developed by integrating the formulas of Irving and Kirkwood, J. Chem. Phys. 18, 817 (1950) over a finite cubic volume of molecular dimensions. The Lagrangian molecular system is expressed in terms of an Eulerian CV, which yields an equivalent to Reynolds' Transport Theorem for the discrete system. This approach casts the dynamics of the molecular system into a form that can be readily compared to the continuum equations. The MD equations of motion are reinterpreted in terms of a Lagrangian-to-Control-Volume (\\CV) conversion function $\\vartheta_{i}$, for each molecule $i$. The \\CV function and its spatial derivatives are used to express fluxes and relevant forces across the control surfaces. The relationship between the local pressures computed using the Volume Average (VA, Lutsko, J. Appl. Phys 64, 1152 (1988)) techniques and the Method of Planes (MOP, Todd et al, Phys. Rev. E 52, 1627 (1995)) emerges naturally from the treatment. Numerical experiments using the MD CV method are reported for equilibrium and non-equilibrium (start-up Couette flow) model liquids, which demonstrate the advantages of the formulation. The CV formulation of the MD is shown to be exactly conservative, and is therefore ideally suited to obtain macroscopic properties from a discrete system.

  10. Volume 1, Issue 1 Engineering by Design

    E-Print Network [OSTI]

    Volume 1, Issue 1 Engineering by Design 5 King's College Rd. Toronto, ON M5S 3G8 mie Engineering University of Toronto 5 King's College Rd. Toronto, ON M5S 3G8 momentum@mie.utoronto.ca mie

  11. Volume 7, Issue 1 January 27, 2014

    E-Print Network [OSTI]

    Jiang, Tiefeng

    this issue at http://readsh101.com/umn.html Join us on facebook at https://www.facebook't cross the line. Stay in control. Facebook.com/LineOfRegret" #12;Page 2 Volume 7, Issue 1 January 27.com and click Create Account OR imleagues.com and click "Log in with Facebook" (if you have a Facebook account

  12. Volume III, Chapter 3 Pacific Lamprey

    E-Print Network [OSTI]

    Volume III, Chapter 3 Pacific Lamprey #12;TABLE OF CONTENTS 3.0 Pacific Lamprey (Lampetra ........................................................................................... 3-13 3.4.8 Ocean & Estuary Conditions................................................................................................................. 3-14 #12;PACIFIC LAMPREY III, 3-1 May 2004 3.0 Pacific Lamprey (Lampetra tridentata) The anadromous

  13. Finite volume renormalization scheme for fermionic operators

    SciTech Connect (OSTI)

    Monahan, Christopher; Orginos, Kostas [JLAB

    2013-11-01T23:59:59.000Z

    We propose a new finite volume renormalization scheme. Our scheme is based on the Gradient Flow applied to both fermion and gauge fields and, much like the Schr\\"odinger functional method, allows for a nonperturbative determination of the scale dependence of operators using a step-scaling approach. We give some preliminary results for the pseudo-scalar density in the quenched approximation.

  14. Volume 89 number 44 28 october 2008

    E-Print Network [OSTI]

    Mcdonough, William F.

    Volume 89 number 44 28 october 2008 pages 433­444 Eos, Vol. 89, No. 44, 28 October 2008 EOS, Tran.Mahoney Geoneutrino Measurements and Models Investigate Deep Earth PAGES 433­434 #12;Eos, Vol. 89, No. 44, 28 October 2008 uranium-238, thorium-232, and potassium- 40. Neutrinos and their antiparticles, anti- neutrinos

  15. 2013 BNL Site Environmental Report. Volume 1

    SciTech Connect (OSTI)

    Ratel, K.; Remien, J.; Pohlot, P.; Williams, J.; Green, T.; Paquette, P.; Dorsch, W.; Welty, T.; Burke, J.

    2014-10-01T23:59:59.000Z

    A summary of Brookhaven National Laboratory’s (BNL) Site Environmental Report, meant to inform the public, regulators, employees, and other stakeholders of the Laboratory’s environmental performance in the lab’s surrounding area during the calendar year. The review is comprised of multiple volumes relevant to environmental data/environmental management performance and groundwater status report.

  16. Petroleum supply annual 1993. Volume 2

    SciTech Connect (OSTI)

    Not Available

    1994-06-01T23:59:59.000Z

    This publication contains information on the supply and disposition of crude oil and petroleum products. The publication reflects data that were collected from the petroleum industry during 1993 through annual and monthly surveys. This second volume contains final statistics for each month of 1993.

  17. Bibliography of Utah radioactive occurrences. Volume II

    SciTech Connect (OSTI)

    Doelling, H.H. (comp.)

    1983-07-01T23:59:59.000Z

    The references in this bibliography were assembled by reviewing published bibliographies of Utah geology, unpublished reports of the US Geological Survey and the Department of Energy, and various university theses. Each of the listings is cross-referenced by location and subject matter. This report is published in two volumes.

  18. Volume III, Chapter 11 Dusky Canada Goose

    E-Print Network [OSTI]

    Volume III, Chapter 11 Dusky Canada Goose #12;TABLE OF CONTENTS 11.0 DUSKY CANADA GOOSE (BRANTA............................................................................................................... 11-20 #12;DUSKY CANADA GOOSE III, 11-1 May 2004 11.0 Dusky Canada Goose (Branta canadensis occidentalis, Baird) 11.1 Introduction The dusky Canada goose (Branta canadensis occidentalis) is a distinctive

  19. TRADE nontechnical training programs inventory. Volume I

    SciTech Connect (OSTI)

    Not Available

    1984-10-01T23:59:59.000Z

    In a continuing effort to facilitate communications and resource exchange among the DOE contractors, the TRADE (Training Resources and Data Exchange) Committee has compiled this volume. This inventory is one of four inventories, which taken together, total almost 1400 courses and reflect the range and focus of in-house training programs being offered throughout the DOE GOCO system by approximately 50 contractors.

  20. JUNE 2014VOLUME 2 NON PROFIT ORG.

    E-Print Network [OSTI]

    JUNE 2014VOLUME 2 THE TEEA MESSENGER NON PROFIT ORG. U.S. POSTAGE PAID PERMIT NO. 65 MARBLE FALLS. 2014 TEEA STATE CONFERENCE SCHEDULE MULTI PURPOSE EVENT CENTER WICHITA FALLS, TEXAS SEPTEMBER 9 & 10, 2014 Tuesday 8:00 ­ 11:00 AM Registration 8:30 & 10:30 AM Free 1 ½ hour Wichita Falls Tours for TEEA