Sample records for relationship tables retrieved

  1. Automatic Detection of Treatment Relationships for Patent Retrieval

    E-Print Network [OSTI]

    Cárdenas, Alfonso F.

    Automatic Detection of Treatment Relationships for Patent Retrieval Aaron Chu UCLA Computer Science Department Los Angeles, California 90024 aaronc@ucla.edu Shigeyuki Sakurai1 4 th Patent Examination Department Japan Patent Office Tokyo, Japan sakurai-shigeyuki@jpo.go.jp Alfonso F. Cardenas UCLA Computer

  2. Table Search (or Ranking Tables)

    E-Print Network [OSTI]

    Halevy, Alon

    ;Table Search #3 #12;Outline · Goals of table search · Table search #1: Deep Web · Table search #3 search Table search #1: Deep Web · Table search #3: (setup): Fusion Tables · Table search #2: WebTables ­Version 1: modify document search ­Version 2: recover table semantics #12;Searching the Deep Web store

  3. Combined Retrieval, Microphysical Retrievals and Heating Rates

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

    Feng, Zhe

    Microphysical retrievals and heating rates from the AMIE/Gan deployment using the PNNL Combined Retrieval.

  4. Combined Retrieval, Microphysical Retrievals and Heating Rates

    SciTech Connect (OSTI)

    Feng, Zhe

    2013-02-22T23:59:59.000Z

    Microphysical retrievals and heating rates from the AMIE/Gan deployment using the PNNL Combined Retrieval.

  5. Fuel Retrieval System Design Verification Report

    SciTech Connect (OSTI)

    GROTH, B.D.

    2000-04-11T23:59:59.000Z

    The Fuel Retrieval Subproject was established as part of the Spent Nuclear Fuel Project (SNF Project) to retrieve and repackage the SNF located in the K Basins. The Fuel Retrieval System (FRS) construction work is complete in the KW Basin, and start-up testing is underway. Design modifications and construction planning are also underway for the KE Basin. An independent review of the design verification process as applied to the K Basin projects was initiated in support of preparation for the SNF Project operational readiness review (ORR). A Design Verification Status Questionnaire, Table 1, is included which addresses Corrective Action SNF-EG-MA-EG-20000060, Item No.9 (Miller 2000).

  6. Environmental Justice Tables

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

    H Environmental Justice Tables I-5 Corridor Reinforcement Project Draft EIS H-i March 2012 Environmental Justice Tables for BPA I-5 Corridor Reinforcement Project Table of Contents...

  7. Retrieval options study

    SciTech Connect (OSTI)

    Not Available

    1980-03-01T23:59:59.000Z

    This Retrieval Options Study is part of the systems analysis activities of the Office of Nuclear Waste Isolation to develop the scientific and technological bases for radioactive waste repositories in various geologic media. The study considers two waste forms, high level waste and spent fuel, and defines various classes of waste retrieval and recovery. A methodology and data base are developed which allow the relative evaluation of retrieval and recovery costs and the following technical criteria: safety; technical feasibility; ease of retrieval; probable intact retrieval time; safeguards; monitoring; criticality; and licensability. A total of 505 repository options are defined and the cost and technical criteria evaluated utilizing a combination of facts and engineering judgments. The repositories evaluated are selected combinations of the following parameters: Geologic Media (salt, granite, basalt, shale); Retrieval Time after Emplacement (5 and 25 years); Emplacement Design (nominal hole, large hole, carbon steel canister, corrosion resistant canister, backfill in hole, nominal sleeves, thick wall sleeves); Emplacement Configuration (single vertical, multiple vertical, single horizontal, multiple horizontal, vaults; Thermal Considerations; (normal design, reduced density, once-through ventilation, recirculated ventilation); Room Backfill; (none, run-of-mine, early, 5 year delay, 25 year delay, decommissioned); and Rate of Retrieval; (same as emplacement, variably slower depending on repository/canister condition).

  8. Monitored Retrievable Storage Background

    Broader source: Energy.gov [DOE]

    `The U.S. Government is seeking a site for a monitored retrievable storage facility (MRS). Employing proven technologies used in this country and abroad, the MRS will be an Integral part of the...

  9. Improved freezing level retrieval

    E-Print Network [OSTI]

    Hong, Sungwook

    2002-01-01T23:59:59.000Z

    TRMM Microwave Imager(TMI)-based passive microwave retrieval techniques result in biased estimates of the freezing level and rainfall over the east Pacific in the Inter Tropical Convergence Zone (ITCZ). Passive microwave rainfall estimates...

  10. Information Retrieval Leif Azzopardi

    E-Print Network [OSTI]

    Azzopardi, Leif

    . ECIR'08: Proceedings of the IR research, 30th European conference on Advances in information retrieval: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information analogue to language. SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference

  11. TABLE VENDOR General Information

    E-Print Network [OSTI]

    TABLE VENDOR General Information The following are the terms and conditions for renting table Affairs. York University assumes no responsibility or liability for vendors and their agent including racks provided by the vendor are charged at the rate of $25.00 per day per additional display. All

  12. Intelligent Information Retrieval

    E-Print Network [OSTI]

    Michael J. Kurtz; Guenther Eichhorn; Alberto Accomazzi; Carolyn Grant; Edwin Henneken; Stephen S. Murray

    2005-10-31T23:59:59.000Z

    Since it was first announced at ADASS 2 the Smithsonian/NASA Astrophysics System Abstract Service (ADS) has played a central role in the information seeking behavior of astronomers. Central to the ability of the ADS to act as a search and discovery tool is its role as metadata agregator. Over the past 13 years the ADS has introduced many new techniques to facilitate information retrieval, broadly defined. We discuss some of these developments; with particular attention to how the ADS might interact with the virtual observatory, and to the new myADS-arXiv customized open access virtual journal. The ADS is at http://ads.harvard.edu

  13. EM-21 Retrieval Knowledge Center: Waste Retrieval Challenges

    SciTech Connect (OSTI)

    Fellinger, Andrew P.; Rinker, Michael W.; Berglin, Eric J.; Minichan, Richard L.; Poirier, Micheal R.; Gauglitz, Phillip A.; Martin, Bruce A.; Hatchell, Brian K.; Saldivar, Eloy; Mullen, O Dennis; Chapman, Noel F.; Wells, Beric E.; Gibbons, Peter W.

    2009-04-10T23:59:59.000Z

    EM-21 is the Waste Processing Division of the Office of Engineering and Technology, within the U.S. Department of Energys (DOE) Office of Environmental Management (EM). In August of 2008, EM-21 began an initiative to develop a Retrieval Knowledge Center (RKC) to provide the DOE, high level waste retrieval operators, and technology developers with centralized and focused location to share knowledge and expertise that will be used to address retrieval challenges across the DOE complex. The RKC is also designed to facilitate information sharing across the DOE Waste Site Complex through workshops, and a searchable database of waste retrieval technology information. The database may be used to research effective technology approaches for specific retrieval tasks and to take advantage of the lessons learned from previous operations. It is also expected to be effective for remaining current with state-of-the-art of retrieval technologies and ongoing development within the DOE Complex. To encourage collaboration of DOE sites with waste retrieval issues, the RKC team is co-led by the Savannah River National Laboratory (SRNL) and the Pacific Northwest National Laboratory (PNNL). Two RKC workshops were held in the Fall of 2008. The purpose of these workshops was to define top level waste retrieval functional areas, exchange lessons learned, and develop a path forward to support a strategic business plan focused on technology needs for retrieval. The primary participants involved in these workshops included retrieval personnel and laboratory staff that are associated with Hanford and Savannah River Sites since the majority of remaining DOE waste tanks are located at these sites. This report summarizes and documents the results of the initial RKC workshops. Technology challenges identified from these workshops and presented here are expected to be a key component to defining future RKC-directed tasks designed to facilitate tank waste retrieval solutions.

  14. CRAD, Criticality Safety - Idaho Accelerated Retrieval Project...

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

    Criticality Safety - Idaho Accelerated Retrieval Project Phase II CRAD, Criticality Safety - Idaho Accelerated Retrieval Project Phase II February 2006 A section of Appendix C to...

  15. CRAD, Occupational Safety & Health - Idaho Accelerated Retrieval...

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

    Occupational Safety & Health - Idaho Accelerated Retrieval Project Phase II CRAD, Occupational Safety & Health - Idaho Accelerated Retrieval Project Phase II February 2006 A...

  16. Advanced Vehicle Technologies Awards Table

    Broader source: Energy.gov [DOE]

    The table contains a listing of the applicants, their locations, the amounts of the awards, and description of each project.

  17. Phase 2, Solid waste retrieval strategy

    SciTech Connect (OSTI)

    Johnson, D.M.

    1994-09-29T23:59:59.000Z

    Solid TRU retrieval, Phase 1 is scheduled to commence operation in 1998 at 218W-4C-T01 and complete recovery of the waste containers in 2001. Phase 2 Retrieval will recover the remaining buried TRU waste to be retrieved and provide the preliminary characterization by non-destructive means to allow interim storage until processing for disposal. This document reports on researching the characterization documents to determine the types of wastes to be retrieved and where located, waste configurations, conditions, and required methods for retrieval. Also included are discussions of wastes encompassed by Phase 2 for which there are valid reasons to not retrieve.

  18. CRAD, Engineering - Idaho Accelerated Retrieval Project Phase...

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

    Engineering - Idaho Accelerated Retrieval Project Phase II CRAD, Engineering - Idaho Accelerated Retrieval Project Phase II February 2006 A section of Appendix C to DOE G 226.1-2...

  19. CRAD, Management - Idaho Accelerated Retrieval Project Phase...

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

    Management - Idaho Accelerated Retrieval Project Phase II CRAD, Management - Idaho Accelerated Retrieval Project Phase II February 2006 A section of Appendix C to DOE G 226.1-2...

  20. CRAD, Radiological Controls - Idaho Accelerated Retrieval Project...

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

    Accelerated Retrieval Project Phase II CRAD, Radiological Controls - Idaho Accelerated Retrieval Project Phase II February 2006 A section of Appendix C to DOE G 226.1-2 "Federal...

  1. CRAD, Emergency Management - Idaho Accelerated Retrieval Project...

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

    Idaho Accelerated Retrieval Project Phase II CRAD, Emergency Management - Idaho Accelerated Retrieval Project Phase II February 2006 A section of Appendix C to DOE G 226.1-2...

  2. Repudiative Information Retrieval Dmitri Asonov

    E-Print Network [OSTI]

    Freytag, Johann-Christoph

    , that a record retrieved is or is not the j-th record for any 1 j N. The first problem is called PIR, and we call the second problem the RIR problem. State of the art PIR protocols with optimal query response- ening PIR to RIR. In particular, we propose a RIR protocol with optimal query response time

  3. Web Information Retrieval Web Science Course

    E-Print Network [OSTI]

    Nejdl, Wolfgang

    1 Web Information Retrieval Web Science Course #12;2 #12;What to Expect · Information Retrieval on the Web ­ Differences to traditional IR · Selected Papers 3 #12;4 Information Retrieval Basics #12 documents on the Internet ­ Searching the World Wide Web #12;16 Recent IR History · 2000's ­ Link analysis

  4. Table for Reports - ESG

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. Home Office11

  5. Table of Contents

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. Home Office11SECTION

  6. Table of Contents

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. Home

  7. Table of Contents

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. HomeSECTION III:

  8. Table of Contents

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. HomeSECTION III:IV:

  9. Table of Contents

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. HomeSECTION III:IV:V:

  10. Table of Contents

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. HomeSECTION

  11. Table of Contents

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. HomeSECTIONII: HEAVY

  12. Table of Contents

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. HomeSECTIONII:

  13. Table of Contents

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. HomeSECTIONII:IV:

  14. Table of Contents

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. HomeSECTIONII:IV:V:

  15. Table of Contents

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. HomeSECTIONII:IV:V:I:

  16. Table of Contents

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a.

  17. Table of Contents

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a.Charm Elliptic Flow at

  18. Table of Contents

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a.Charm Elliptic Flow

  19. Table of Contents

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a.Charm Elliptic

  20. Table of Contents

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a.Charm Elliptic1

  1. compare_tables.xlsx

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:short version)ec 1827 Table 7.2c43Current

  2. ARM - Instrument Location Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation InInformation InExplosionAnnouncements MediagovCampaignsListgovInstrumentsLocation Table

  3. Microsoft Word - table_09

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,InformationU.S. Crude Oil3 13,, 19999, 19996,3 Table 9

  4. Microsoft Word - table_10

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,InformationU.S. Crude Oil3 13,, 19999, 19996,3 Table 94

  5. Microsoft Word - table_11

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,InformationU.S. Crude Oil3 13,, 19999, 19996,3 Table 9425

  6. 8Be General Tables

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBe General Tables The General

  7. 8C General Tables

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBe General Tables The GeneralCC

  8. 8He General Tables

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBe General Tables The

  9. 8Li General Tables

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBe General Tables Theβ--DecayLi

  10. 9B General Tables

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBe General Tables8 2BB General

  11. 9Be General Tables

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBe General Tables8 2BBBe General

  12. 9C General Tables

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBe General Tables8 2BBBe

  13. 9He General Tables

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBe General Tables8 2BBBeHeHe

  14. 9Li General Tables

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBe General Tables8 2BBBeHeHeLiLi

  15. A = 6 General Tables

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBenew20-Year6 General Tables The

  16. A = 7 General Tables

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBenew20-Year6 General Tables The7

  17. A = 8 General Tables

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBenew20-Year6 General Tables

  18. A = 9 General Tables

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBenew20-Year6 General Tables9

  19. FY 2005 Statistical Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of Energy memoCityTheDepartmentKey9Statistical Table by

  20. FY 2007 Statistical Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganization (dollars in5Statistical Table by

  1. FY 2008 Laboratory Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganization (dollarsControl Table08Total

  2. FY 2008 State Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganization (dollarsControlState Table

  3. FY 2009 State Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganization (dollarsControlState6State Tables

  4. A=19 Tables

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience4AJ01) (See Energy0AJ04)86AJ04)1978AJ03) (See95TI07) (See EnergyTables

  5. Table of Contents

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassiveSubmittedStatus TomAboutManus Site-Inactive TWPCarbon intensity of theTABLE OF

  6. Table of Contents

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassiveSubmittedStatus TomAboutManus Site-Inactive TWPCarbon intensity of theTABLE OF2

  7. Tables of Energy Levels

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassiveSubmittedStatus TomAboutManus Site-Inactive TWPCarbon intensity of theTABLE

  8. Transuranic (TRU) Waste Phase I Retrieval Plan

    SciTech Connect (OSTI)

    MCDONALD, K.M.

    1999-08-27T23:59:59.000Z

    Phase I retrieval of post-1970 TRU wastes from burial ground 218-W-4C can be done in a safe, efficient, and cost-effective manner. Initiating TRU retrieval by retrieving uncovered drums from Trenches 1, 20, and 29, will allow retrieval to begin under the current SWBG safety authorization basis. The retrieval of buried drums from Trenches 1, 4, 20, and 29, which will require excavation, will commence once the uncovered drum are retrieved. This phased approach allows safety analysis for drum venting and drum module excavation to be completed and approved before the excavation proceeds. In addition, the lessons learned and the operational experience gained from the retrieval of uncovered drums can be applied to the more complicated retrieval of the buried drums. Precedents that have been set at SRS and LANL to perform retrieval without a trench cover, in the open air, should be followed. Open-air retrieval will result in significant cost savings over the original plans for Phase I retrieval (Project W-113). Based on LANL and SRS experience, open-air retrieval will have no adverse impacts to the environment or to the health and safety of workers or the public. Assaying the waste in the SWBG using a mobile assay system, will result in additional cost savings. It is expected that up to 50% of the suspect-TRU wastes will assay as LLW, allowing those waste to remain disposed of in the SWBG. Further processing, with its associated costs, will only occur to the portion of the waste that is verified to be TRU. Retrieval should be done, to the extent possible, under the current SWBG safety authorization basis as a normal part of SWBG operations. The use of existing personnel and existing procedures should be optimized. By working retrieval campaigns, typically during the slow months, it is easier to coordinate the availability of necessary operations personnel, and it is easier to coordinate the availability of a mobile assay vendor.

  9. 2003 CBECS Detailed Tables: Summary

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

    Energy Expenditures by Major Fuel c2-pdf c2.xls c2.html Table C3. Consumption and Gross Energy Intensity for Sum of Major Fuels c3.pdf c3.xls c3.html Table C4. Expenditures for...

  10. Supplemental Tables to the Annual Energy Outlook - Energy Information...

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

    Module Regions (NERC Region Map) Table 73. Texas Regional Entity Table 74. Florida Reliability Coordinating Council Table 75. Midwest Reliability Council East Table 76. Midwest...

  11. Innovative grout/retrieval demonstration final report

    SciTech Connect (OSTI)

    Loomis, G.G.; Thompson, D.N.

    1995-01-01T23:59:59.000Z

    This report presents the results of an evaluation of an innovative retrieval technique for buried transuranic waste. Application of this retrieval technique was originally designed for full pit retrieval; however, it applies equally to a hot spot retrieval technology. The technique involves grouting the buried soil waste matrix with a jet grouting procedure, applying an expansive demolition grout to the matrix, and retrieving the debris. The grouted matrix provides an agglomeration of fine soil particles and contaminants resulting in an inherent contamination control during the dusty retrieval process. A full-scale field demonstration of this retrieval technique was performed on a simulated waste pit at the Idaho National Engineering Laboratory. Details are reported on all phases of this proof-of-concept demonstration including pit construction, jet grouting activities, application of the demolition grout, and actual retrieval of the grouted pit. A quantitative evaluation of aerosolized soils and rare earth tracer spread is given for all phases of the demonstration, and these results are compared to a baseline retrieval activity using conventional retrieval means. 8 refs., 47 figs., 10 tabs.

  12. ARM Cloud Retrieval Ensemble Data Set (ACRED)

    SciTech Connect (OSTI)

    Zhao, C; Xie, S; Klein, SA; McCoy, R; Comstock, JM; Delano, J; Deng, M; Dunn, M; Hogan, RJ; Jensen, MP; Mace, GG; McFarlane, SA; OConnor, EJ; Protat, A; Shupe, MD; Turner, D; Wang, Z

    2011-09-12T23:59:59.000Z

    This document describes a new Atmospheric Radiation Measurement (ARM) data set, the ARM Cloud Retrieval Ensemble Data Set (ACRED), which is created by assembling nine existing ground-based cloud retrievals of ARM measurements from different cloud retrieval algorithms. The current version of ACRED includes an hourly average of nine ground-based retrievals with vertical resolution of 45 m for 512 layers. The techniques used for the nine cloud retrievals are briefly described in this document. This document also outlines the ACRED data availability, variables, and the nine retrieval products. Technical details about the generation of ACRED, such as the methods used for time average and vertical re-grid, are also provided.

  13. MA et al.: SKETCH RETRIEVAL VIA STROKE FEATURES 1 Sketch Retrieval via Dense Stroke Features

    E-Print Network [OSTI]

    Yang, Ming-Hsuan

    MA et al.: SKETCH RETRIEVAL VIA STROKE FEATURES 1 Sketch Retrieval via Dense Stroke Features Chao search method. In this paper, we propose a representation scheme which takes sketch strokes into account with local features, thereby facilitat- ing efficient retrieval with codebooks. Stroke features are detected

  14. Your FAFSA and the IRS Data Retrieval Tool What is the IRS Data Retrieval Tool?

    E-Print Network [OSTI]

    Moore, Paul A.

    Your FAFSA and the IRS Data Retrieval Tool What is the IRS Data Retrieval Tool? The U.S. Department of Education and the Internal Revenue Service (IRS) have collaborated to develop a tool that simplifies the completion of the FAFSA application. The IRS Data Retrieval tool allows FAFSA applicants and parents

  15. TABLE OF CONTENTS ABSTRACT . . .. . . .. . . . . . . . . . . . . . . . . . . . . . v

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    ............................................... 12 Water-Source Heat Pump Performance ............................ 18 Air-Source Heat Pump QUARTZ CONTENT OF SEDIMENTARY ROCK LAYERS ........ 17 TABLE 10. PROPERTIES OF SEDIMENTARY ROCK LAYERS OF PERFORMANCE OF WATER-SOURCE HEAT PUMP .............................. ................. 23 FIGURE 2. NODAL

  16. Geodesic Shape Retrieval via Optimal Mass Transport

    E-Print Network [OSTI]

    Boyer, Edmond

    Geodesic Shape Retrieval via Optimal Mass Transport Julien Rabin, Gabriel Peyr´e, and Laurent D presents a new method for 2-D and 3-D shape retrieval based on geodesic signatures. These signatures of geodesic distance maps to each point. The resulting high dimensional distributions are matched to perform

  17. Computationally Private Information Retrieval with Polylogarithmic Communication

    E-Print Network [OSTI]

    Cachin, Christian

    information retrieval. The notion of private information retrieval (PIR for short) was introduced by Chor, Goldreich, Kushilevitz and Sudan [CGKS95] and has already received a lot of attention. The study of PIR for mobile users.) Ideally, the PIR problem consists of devising a communication protocol involving just two

  18. Optimal Estimation Retrieval Aerosol Microphysical Properties

    E-Print Network [OSTI]

    Oxford, University of

    SAGE II Satellite Observations A thesis submitted in partial fulfillment of the requirements or entirely insensitive. A successful retrieval algorithm must then be able (a) to fill the `blind spot functions. The three main parts of this thesis are (1) the development of the new OE retrieval algorithm, (2

  19. FIRE SAFETY PROGRAM TABLE OF CONTENTS

    E-Print Network [OSTI]

    Lin, Zhiqun

    FIRE SAFETY PROGRAM TABLE OF CONTENTS Overview................................................................................................. 5 Health and Life Safety Fund........................................................................................................... 5 Hot work

  20. Records Management Procedures for Storage, Transfer and Retrieval...

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

    Procedures for Storage, Transfer and Retrieval of Records from WNRC Records Management Procedures for Storage, Transfer and Retrieval of Records from WNRC Develop and maintain a...

  1. Biomedical Information Retrieval based on Document-Level Term Boosting.

    E-Print Network [OSTI]

    Johannsson, Dagur Valberg

    2009-01-01T23:59:59.000Z

    ?? There are several problems regarding information retrieval on biomedical information. The common methods for information retrieval tend to fall short when searching in this (more)

  2. Solid waste retrieval. Phase 1, Operational basis

    SciTech Connect (OSTI)

    Johnson, D.M.

    1994-09-30T23:59:59.000Z

    This Document describes the operational requirements, procedures, and options for execution of the retrieval of the waste containers placed in buried storage in Burial Ground 218W-4C, Trench 04 as TRU waste or suspect TRU waste under the activity levels defining this waste in effect at the time of placement. Trench 04 in Burial Ground 218W-4C is totally dedicated to storage of retrievable TRU waste containers or retrievable suspect TRU waste containers and has not been used for any other purpose.

  3. Microsoft Word - table_19.doc

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table7 Table

  4. HTI retrieval demonstration project execution plan

    SciTech Connect (OSTI)

    Ellingson, D.R.

    1997-09-04T23:59:59.000Z

    This plan describes the process for demonstrating the retrieval of difficult Hanford tank waste forms utilizing commercial technologies and the private sector to conduct the operations. The demonstration is to be conducted in Tank 241-C-106.

  5. Broad Expertise Retrieval in Sparse Data Environments

    E-Print Network [OSTI]

    Balog, K.; Bogers, T.; Azzopardi, L.

    Balog,K. Bogers,T. Azzopardi,L. de Rijke,M. van den Bosch,A. To appear in the Proceedings of the 30th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR 2007)

  6. Technical requirements specification for tank waste retrieval

    SciTech Connect (OSTI)

    Lamberd, D.L.

    1996-09-26T23:59:59.000Z

    This document provides the technical requirements specification for the retrieval of waste from the underground storage tanks at the Hanford Site. All activities covered by this scope are conducted in support of the Tank Waste Remediation System (TWRS) mission.

  7. IRS Data Retrieval Tool 2012-2013 FAFSA

    E-Print Network [OSTI]

    Russell, Lynn

    1 IRS Data Retrieval Tool 2012-2013 FAFSA Financial Aid Office University of California, San Diego #12;2 What is the IRS Data Retrieval Tool? · The IRS Retrieval Tool gives FAFSA applicants and parents the ability to transfer their data from the IRS to the FAFSA · The Retrieval Tool saves time and increases

  8. Successful Approaches in the TREC Video Retrieval Evaluations

    E-Print Network [OSTI]

    Christel, Mike

    Terms Experimentation. Keywords Video retrieval, search, TRECVID, information retrieval benchmarks. 1 over the last three years. The task involves the search and retrieval of shots from MPEG digitized retrieval technologies. The search evaluations are grouped into interactive (with a human in the loop

  9. Private Information Retrieval, Optimal for Users and Secure Coprocessors

    E-Print Network [OSTI]

    Freytag, Johann-Christoph

    @dbis.informatik.hu­berlin.de Abstract. A private information retrieval (PIR) protocol allows a user to retrieve one of N records from a database while hiding the identity of the record from the database server. A PIR protocol is optimal Private Information Retrieval (PIR) protocols. Formally, a PIR protocol allows a user to retrieve one of N

  10. A Model for Serendipitous Music Retrieval Markus Schedl, David Hauger

    E-Print Network [OSTI]

    Widmer, Gerhard

    Research Institute for Artificial Intellgence dominik.schnitzer@ofai.at ABSTRACT Music retrieval systems

  11. Tank waste remediation system retrieval and disposal mission -- Phase 1: Financial analysis

    SciTech Connect (OSTI)

    Bickford, J.C.

    1998-01-06T23:59:59.000Z

    In Section 1.0, an overview of the Financial Analysis was provided and summarized in Table 1 for both the Retrieval and Disposal program and the TWRS project life cycle. A table recaps the pre-Phase 1B analysis budget requirements as discussed in previous sections. Another table in this section shows a similar build-up of costs and the impact of proposed offsets and increases to the pre-Phase 1B analysis. The issues concerning the increased requirements in FY 1998/1999 and the recommended adjustments were discussed. The Phase 1B Program as recommended is achievable. Specific recommendations are as follows: (a) Adopt the revised project baseline as presented in the cited tables; (b) Incorporate the $248.5 million in allowances for risk into the baseline; (c) Develop detailed action plans to realize the costs reduction opportunities; (d) Incorporate site indirect and benefits reduction rates into baseline; (e) Delay non-critical path scope which can be moved beyond FY 1999, as indicated: and (f) Renegotiate the Tri-Party Agreement milestones associated with the current compliance unfunded list for FY 1998.

  12. SOFA 2 Documentation Table of contents

    E-Print Network [OSTI]

    SOFA 2 Documentation Table of contents 1 Overview...................................................................................................................... 2 2 Documentation............................................................................................................. 2 3 Other documentation and howtos

  13. Transuranic (TRU) Waste Phase I Retrieval Plan

    SciTech Connect (OSTI)

    MCDONALD, K.M.

    2000-09-28T23:59:59.000Z

    From 1970 to 1987, TRU and suspect TRU wastes at Hanford were placed in the SWBG. At the time of placement in the SWBG these wastes were not regulated under existing Resource Conservation and Recovery Act (RCRA) regulations, since they were generated and disposed of prior to the effective date of RCRA at the Hanford Site (1987). From the standpoint of DOE Order 5820.2A1, the TRU wastes are considered retrievably stored, and current plans are to retrieve these wastes for shipment to WIPP for disposal. This plan provides a strategy for the Phase I retrieval that meets the intent of TPA milestone M-91 and Project W-113, and incorporates the lessons learned during TRU retrieval campaigns at Hanford, LANL, and SRS. As in the original Project W-113 plans, the current plan calls for examination of approximately 10,000 suspect-TRU drums located in the 218-W-4C burial ground followed by the retrieval of those drums verified to contain TRU waste. Unlike the older plan, however, this plan proposes an open-air retrieval scenario similar to those used for TRU drum retrieval at LANL and SRS. Phase I retrieval consists of the activities associated with the assessment of approximately 10,000 55-gallon drums of suspect TRU-waste in burial ground 218-W-4C and the retrieval of those drums verified to contain TRU waste. Four of the trenches in 218-W-4C (Trenches 1, 4, 20, and 29) are prime candidates for Phase I retrieval because they contain large numbers of suspect TRU drums, stacked from 2 to 5 drums high, on an asphalt pad. In fact, three of the trenches (Trenches 1 , 20, and 29) contain waste that has not been covered with soil, and about 1500 drums can be retrieved without excavation. The other three trenches in 218-W-4C (Trenches 7, 19, and 24) are not candidates for Phase I retrieval because they contain significant numbers of boxes. Drums will be retrieved from the four candidate trenches, checked for structural integrity, overpacked, if necessary, and assayed at the burial ground. A mobile assay system will be used to determine if the drum is LLW (Le., contains <100 nCi/g). LLW will remain disposed of in the 218-W-4C Burial Ground. TRU waste will be retrieved and staged in the burial ground until it can be shipped to the CWC. The TRU drums will be stored at the CWC until they can be moved to WRAP. The WRAP facility will prepare the waste for shipment to WIPP for final disposal. For planning purposes, approximately 50% of the 10,000 drums have been estimated to contain LLW.

  14. Chemistry Department Assessment Table of Contents

    E-Print Network [OSTI]

    Bogaerts, Steven

    0 Chemistry Department Assessment May, 2006 Table of Contents Page Executive Summary 1 Prelude 1 Mission Statement and Learning Goals 1 Facilities 2 Staffing 3 Students: Chemistry Majors and Student Taking Service Courses Table: 1997-2005 graduates profile Table: GRE Score for Chemistry Majors, 1993

  15. 3D EFFECTS ON SPECTRALLY INVARIANT BEHAVIOR NEAR CLOUD EDGES: IMPLICATIONS FOR RETRIEVING AEROSOL AND CLOUD PROPERTIES IN

    E-Print Network [OSTI]

    3D EFFECTS ON SPECTRALLY INVARIANT BEHAVIOR NEAR CLOUD EDGES: IMPLICATIONS FOR RETRIEVING AEROSOL between cloudy and clear air is always ambiguous, and because effects of the 3D nature of clouds will demonstrate how 3D effects may modulate the spectrally invariant relationships. We will also show the extent

  16. Microsoft Word - table_18.doc

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table

  17. Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#: TWP-DOC-1.4TX

  18. Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#: TWP-DOC-1.4TX4

  19. Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#: TWP-DOC-1.4TX48

  20. Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#:

  1. Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#:5 from

  2. Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#:5 from5.4 from

  3. Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#:5 from5.4 from6

  4. Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#:5 from5.4

  5. Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#:5 from5.47AJ02):

  6. Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#:5

  7. Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#:50AJ01): Some

  8. Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#:50AJ01):

  9. Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#:50AJ01):3TI07):

  10. Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104

  11. Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.01001045TI07):

  12. Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.01001045TI07):8TI06):

  13. Table

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR

  14. Subword-based approaches for spoken document retrieval

    E-Print Network [OSTI]

    Ng, Kenney, 1967-

    2000-01-01T23:59:59.000Z

    This thesis explores approaches to the problem of spoken document retrieval (SDR), which is the task of automatically indexing and then retrieving relevant items from a large collection of recorded speech messages in ...

  15. CRAD, Safety Basis - Idaho Accelerated Retrieval Project Phase...

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

    Idaho Accelerated Retrieval Project Phase II CRAD, Safety Basis - Idaho Accelerated Retrieval Project Phase II February 2006 A section of Appendix C to DOE G 226.1-2 "Federal Line...

  16. Microsoft Word - table_13.doc

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,InformationU.S. Crude Oil3 13,, 19999, 19996,3 Table 9425

  17. Microsoft Word - table_13.doc

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table 13.

  18. Microsoft Word - table_14.doc

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table 13.4

  19. Microsoft Word - table_15.doc

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table 13.40

  20. Microsoft Word - table_17.doc

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table 13.404

  1. Microsoft Word - table_20.doc

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table7

  2. Microsoft Word - table_21.doc

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table79

  3. Microsoft Word - table_22.doc

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table790

  4. Microsoft Word - table_23.doc

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table7906

  5. Microsoft Word - table_24.doc

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table7906

  6. Microsoft Word - table_25.doc

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table79068

  7. Microsoft Word - table_26.doc

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table790687

  8. Microsoft Word - table_27.doc

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table7906878

  9. Iterative Algorithms for Ptychographic Phase Retrieval

    SciTech Connect (OSTI)

    Yang, Chao; Qian, Jianliang; Schirotzek, Andre; Maia, Filipe; Marchesini, Stefano

    2011-05-03T23:59:59.000Z

    Ptychography promises diffraction limited resolution without the need for high resolution lenses. To achieve high resolution one has to solve the phase problem for many partially overlapping frames. Here we review some of the existing methods for solving ptychographic phase retrieval problem from a numerical analysis point of view, and propose alternative methods based on numerical optimization.

  10. RETRIEVAL OF OTTOMAN DOCUMENTS Bilkent University

    E-Print Network [OSTI]

    Duygulu-Sahin, Pinar

    RETRIEVAL OF OTTOMAN DOCUMENTS Esra ATAER Bilkent University Department of Computer Engineering Ottoman docu- ments stored in large archives and therefore managing tools for automatic searching, indexing and transcription of these documents is required. In this paper, we present a method

  11. Synchronous Collaborative Information Retrieval with Relevance Feedback

    E-Print Network [OSTI]

    Lee, Hyowon

    . A user enters a search query and the search engine Retrieval. returns a list of documents according interacting with a search engine and performing knowledge amongst co-searchers. In our system this transfer a search task, is still an individual activity. We propose an of knowledge is achieved through

  12. Outsourced Private Information Retrieval Yizhou Huang

    E-Print Network [OSTI]

    Goldberg, Ian

    . Information-theoretic PIR (IT-PIR) schemes are"perfectly secure" in the same sense as above--even a server is computational PIR (CPIR), whose security relies on certain cryp a scheme for outsourcing Private Information Retrieval (PIR) to untrusted servers while protecting

  13. Private Information Retrieval Using Trusted Hardware

    E-Print Network [OSTI]

    Ding, Xuhua

    for Infocomm Research, Singapore baofeng@i2r.a-star.edu.sg Abstract. Many theoretical PIR (Private Information Retrieval) con- structions have been proposed in the past years. Though information theoretically secure complexity. The re- cent trend in outsourcing databases fuels the research on practical PIR schemes

  14. Computationally Private Information Retrieval with Polylogarithmic Communication

    E-Print Network [OSTI]

    Cachin, Christian

    . The notion of private information retrieval (PIR for short) was introduced by Chor, Goldreich, Kushilevitz and Sudan [CGKS95] and has already received a lot of attention. The study of PIR is motivated by the growing, the PIR problem consists of devising a communication protocol involving just two parties, the database

  15. Computationally Private Information Retrieval With Polylogarithmic Communication

    E-Print Network [OSTI]

    Goldwasser, Shafi

    . The beautiful notion of private information retrieval (PIR for short) was introduced by Chor, Goldreich, Kushilevitz and Sudan [CGKS95] and has already received a lot of attention. The study of PIR is motivated.) Ideally, the PIR problem consists of devising a communication protocol involving just two parties

  16. Web Information Retrieval Author Preprint for Web

    E-Print Network [OSTI]

    Hawking, David

    Web Information Retrieval Author Preprint for Web Nick Craswell and David Hawking 18 April 2009 1 Introduction This chapter outlines some distinctive characteristics of web information re- trieval, starting with a broad description of web data and the needs of web searching users, then working through ranking

  17. 2, 10971130, 2002 Retrieval of water

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ACPD 2, 1097­1130, 2002 Retrieval of water vapor columns R. Lang et al. Title Page Abstract, Amsterdam, The Netherlands 2 SRON National Institute for Space Research, Utrecht, The Netherlands 3 Department of Physics and Astronomy, Vrije Universiteit, Amsterdam, The Netherlands Received: 20 June 2002

  18. Spare mitigation/retrieval mixer pumps

    SciTech Connect (OSTI)

    Taylor, S.

    1995-02-02T23:59:59.000Z

    This document presents the functional design criteria for design, analysis, fabrication, testing, and installation of a waste tank mixer pump. The mixer pump will be operated to eliminate the periodic releases of large quantities of flammable gas (e.g., hydrogen) from Hanford Site waste tanks and also to accommodate retrieval of tank waste.

  19. A Linear Storage-Retrieval Policy for Robust Warehouse Management

    E-Print Network [OSTI]

    Marcus Ang

    2008-11-10T23:59:59.000Z

    Nov 10, 2008 ... A Linear Storage-Retrieval Policy for Robust Warehouse Management ... Keywords: Dynamic programming, Transportation, Materials handling,...

  20. Failed Retrieval of Potentially Retrievable IVC Filters: A Report of Two Cases

    SciTech Connect (OSTI)

    Kumar, Bangalore C. Anil [Queen's Medical Centre, Department of Radiology (United Kingdom)], E-mail: anil.kumar@doctors.org.uk; Chakraverty, Sam; Zealley, Ian [Ninewells Hospital, Department of Radiology (United Kingdom)

    2006-02-15T23:59:59.000Z

    Retrievable inferior vena cava filters are being increasingly used for the prevention of life-threatening pulmonary emboli in patients who have temporary contraindications to anticoagulation therapy. We report two cases of failure to remove these devices.

  1. Environmental Regulatory Update Table, December 1989

    SciTech Connect (OSTI)

    Houlbert, L.M.; Langston, M.E. (Tennessee Univ., Knoxville, TN (USA)); Nikbakht, A.; Salk, M.S. (Oak Ridge National Lab., TN (USA))

    1990-01-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  2. Environmental regulatory update table, March 1989

    SciTech Connect (OSTI)

    Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1989-04-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  3. Environmental Regulatory Update Table, April 1989

    SciTech Connect (OSTI)

    Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1989-05-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  4. Environmental Regulatory Update Table, October 1991

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-11-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  5. Environmental Regulatory Update Table, November 1990

    SciTech Connect (OSTI)

    Hawkins, G.T.; Houlberg, L.M.; Noghrei-Nikbakht, P.A.; Salk, M.S.

    1990-12-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  6. Environmental regulatory update table, July 1991

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-08-01T23:59:59.000Z

    This Environmental Regulatory Update Table (July 1991) provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  7. Environmental Regulatory Update Table, November 1991

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-12-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  8. Environmental Regulatory Update Table, September 1991

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-10-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  9. Environmental Regulatory Update Table, December 1991

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1992-01-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  10. Environmental Regulatory Update Table, August 1991

    SciTech Connect (OSTI)

    Houlberg, L.M., Hawkins, G.T.; Salk, M.S.

    1991-09-01T23:59:59.000Z

    This Environmental Regulatory Update Table (August 1991) provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  11. Retrieval Success is Accompanied by Enhanced Activation in Anterior Prefrontal

    E-Print Network [OSTI]

    McDermott, Kathleen

    and retrieval success. That is, we implemented a third condition in which nonstudied words were presented, yet) and thereby reject the lure. This method of instantiating retrieval success under conditions in whichRetrieval Success is Accompanied by Enhanced Activation in Anterior Prefrontal Cortex During

  12. Generalizing PIR for Practical Private Retrieval of Public Data

    E-Print Network [OSTI]

    Boyer, Edmond

    Generalizing PIR for Practical Private Retrieval of Public Data Shiyuan Wang, Divyakant Agrawal without revealing the query to the server. Computational Private Information Retrieval (cPIR) achieves approach for the pri- vate retrieval of public data called Bounding-Box PIR (bbPIR). Using bbPIR, a client

  13. Summary Statistics Table 1. Crude Oil Prices

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

    Cost Report." Figure Energy Information Administration Petroleum Marketing Annual 1996 3 Table 2. U.S. Refiner Prices of Petroleum Products to End Users (Cents per Gallon...

  14. TABLE OF CONTENTS NIST Map ...................................................................................................................................................3

    E-Print Network [OSTI]

    TABLE OF CONTENTS NIST Map the Power Grid PML TIME SPEAKER UNIVERSITY TITLE LAB 3:00P Brian Weinstein American University Temperature

  15. TableHC2.12.xls

    Gasoline and Diesel Fuel Update (EIA)

    Home Electronics Usage Indicators Table HC8.12 Home Electronics Usage Indicators by UrbanRural Location, 2005 Housing Units (millions) Energy Information Administration: 2005...

  16. Single-shell tank retrieval program mission analysis report

    SciTech Connect (OSTI)

    Stokes, W.J.

    1998-08-11T23:59:59.000Z

    This Mission Analysis Report was prepared to provide the foundation for the Single-Shell Tank (SST) Retrieval Program, a new program responsible for waste removal for the SSTS. The SST Retrieval Program is integrated with other Tank Waste Remediation System activities that provide the management, technical, and operations elements associated with planning and execution of SST and SST Farm retrieval and closure. This Mission Analysis Report provides the basis and strategy for developing a program plan for SST retrieval. This Mission Analysis Report responds to a US Department of Energy request for an alternative single-shell tank retrieval approach (Taylor 1997).

  17. Supplemental Tables to the Annual Energy Outlook

    Reports and Publications (EIA)

    2014-01-01T23:59:59.000Z

    The Annual Energy Outlook (AEO) Supplemental tables were generated for the reference case of the AEO using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets. Most of the tables were not published in the AEO, but contain regional and other more detailed projections underlying the AEO projections.

  18. Tables in Context: Integrating Horizontal Displays with

    E-Print Network [OSTI]

    Klemmer, Scott

    design challenges for tabletop interfaces: integrating access to public and private information, managing a cooperative gesture to organize digital documents on an interactive table. Our tabletop interface designTables in Context: Integrating Horizontal Displays with Ubicomp Environments Abstract Our work

  19. Aerosol Retrievals from ARM SGP MFRSR Data

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

    Alexandrov, Mikhail

    The Multi-Filter Rotating Shadowband Radiometer (MFRSR) makes precise simultaneous measurements of the solar direct normal and diffuse horizontal irradiances at six wavelengths (nominally 415, 500, 615, 673, 870, and 940 nm) at short intervals (20 sec for ARM instruments) throughout the day. Time series of spectral optical depth are derived from these measurements. Besides water vapor at 940 nm, the other gaseous absorbers within the MFRSR channels are NO2 (at 415, 500, and 615 nm) and ozone (at 500, 615, and 670 nm). Aerosols and Rayleigh scattering contribute atmospheric extinction in all MFRSR channels. Our recently updated MFRSR data analysis algorithm allows us to partition the spectral aerosol optical depth into fine and coarse modes and to retrieve the fine mode effective radius. In this approach we rely on climatological amounts of NO2 from SCIAMACHY satellite retrievals and use daily ozone columns from TOMS.

  20. Bin Set 1 Calcine Retrieval Feasibility Study

    SciTech Connect (OSTI)

    R. D. Adams; S. M. Berry; K. J. Galloway; T. A. Langenwalter; D. A. Lopez; C. M. Noakes; H. K. Peterson; M. I. Pope; R. J. Turk

    1999-10-01T23:59:59.000Z

    At the Department of Energy's Idaho Nuclear Technology and Engineering Center, as an interim waste management measure, both mixed high-level liquid waste and sodium bearing waste have been solidified by a calculation process and are stored in the Calcine Solids Storage Facilities. This calcined product will eventually be treated to allow final disposal in a national geologic repository. The Calcine Solids Storage Facilities comprise seven ''bit sets.'' Bin Set 1, the first to be constructed, was completed in 1959, and has been in service since 1963. It is the only bin set that does not meet current safe-shutdown earthquake seismic criteria. In addition, it is the only bin set that lacks built-in features to aid in calcine retrieval. One option to alleviate the seismic compliance issue is to transport the calcine from Bin Set 1 to another bin set which has the required capacity and which is seismically qualified. This report studies the feasibility of retrieving the calcine from Bi n Set 1 and transporting it into Bin Set 6 which is located approximately 650 feet away. Because Bin Set 1 was not designed for calcine retrieval, and because of the high radiation levels and potential contamination spread from the calcined material, this is a challenging engineering task. This report presents preconceptual design studies for remotely-operated, low-density, pneumatic vacuum retrieval and transport systems and equipment that are based on past work performed by the Raytheon Engineers and Constructors architectural engineering firm. The designs presented are considered feasible; however, future development work will be needed in several areas during the subsequent conceptual design phase.

  1. Linear algorithms for phase retrieval in the Fresnel region: validity conditions

    E-Print Network [OSTI]

    Gureyev, T E

    2015-01-01T23:59:59.000Z

    We describe the relationship between different forms of linearized expressions for the spatial distribution of intensity of X-ray projection images obtained in the Fresnel region. We prove that under the natural validity conditions some of the previously published expressions can be simplified without a loss of accuracy. We also introduce modified validity conditions which are likely to be fulfilled in many relevant practical cases, and which lead to a further significant simplification of the expression for the image-plane intensity, permitting simple non-iterative linear algorithms for the phase retrieval.

  2. Phase Retrieval of Sparse Signals from Magnitude Information

    E-Print Network [OSTI]

    Apaydin, Meltem

    2014-07-11T23:59:59.000Z

    Relative Mean Square Error RIP Restricted Isometry Property SDP Semidefinite Programming SNR Signal-to-Noise Ratio vi TABLE OF CONTENTS Page ABSTRACT... having a length of 32 samples. ........................................................................................................ 51 ix LIST OF TABLES Page Table 4.1 Computation time and the number of iterations in SDP for Phase Lift...

  3. Table of Contents Producing Hydrogen................1

    E-Print Network [OSTI]

    . It can store the energy from diverse domestic resources (including clean coal, nuclear renewable resources, nuclear energy, and coal with carbon capture and storage. 1 #12;Potential for clean1 #12;Table of Contents Producing Hydrogen................1 Hydrogen Production Technologies

  4. Table of Contents Resilient Sustainable Communities

    E-Print Network [OSTI]

    ..................................... 5 Onondaga County: Sustainable Development Plan....................... 9 Comparison of the Hazard Mitigation Plan and Onondaga County Sustainable Development Plan DraftTable of Contents Resilient Sustainable Communities: Integrating Hazard Mitigation & Sustainability

  5. Table of Contents Chapter and Content Pages

    E-Print Network [OSTI]

    Fouke, Bruce W.

    #12;Page 2 Table of Contents Chapter and Content Pages 1. Field Trip Itinerary ................................................................................. 7 4. Geologic Framework of the Netherlands Antilles 5. Coral Reefs of the Netherlands Antilles

  6. ii Colorado Climate Table of Contents

    E-Print Network [OSTI]

    #12;ii Colorado Climate Table of Contents Web: http://climate.atmos.colostate.edu Colorado Climate Spring 2002 Vol. 3, No. 2 Lightning in Colorado . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4 Colorado Climate in Review

  7. An Investigation of Subword Unit Representations for Spoken Document Retrieval

    E-Print Network [OSTI]

    An Investigation of Subword Unit Representations for Spoken Document Retrieval Kenney Ng and Victor W. Zue Spoken Language Systems Group MIT Laboratory for Computer Science 545 Technology Square

  8. Water Retrieval by Norway Rats: Behavior as Deduction

    E-Print Network [OSTI]

    Wallace, R J

    1998-01-01T23:59:59.000Z

    1948). Burrows and feeding of the Norway a radial Mammalogy,Object retrieval preferences of Norway rats: An evolutionaryinedible objects by Norway rats: Motivational interactions

  9. X-1 ROEBELING ET AL.: SEVIRI & AVHRR CLOUD PROPERTY RETRIEVALS Cloud property retrievals for climate monitoring

    E-Print Network [OSTI]

    Stoffelen, Ad

    Generation (METEOSAT-8) and the Advanced Very High Resolution Radiometer (AVHRR) onboard the National Oceanic a consistent and high quality dataset of SEVIRI and AVHRR retrieved cloud properties for climate research studies. Clouds strongly modulate the energy balance of the Earth and its atmosphere through

  10. 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...

  11. Small Waste Tank Sampling and Retrieval System

    SciTech Connect (OSTI)

    Magleby, Mary Theresa

    2002-08-01T23:59:59.000Z

    At the Test Reactor Area of the Idaho National Engineering and Environmental Laboratory (INEEL), four 1500-gal catch tanks were found to contain RCRAhazardous waste. A system was needed to obtain a representative sample of the liquid, as well as the hardpacked heels, and to ultimately homogenize and remove the tank contents for disposal. After surveying the available technologies, the AEA Fluidic Pulse Mixing and Retrieval System was chosen for a technology demonstration. A demonstration, conducted with nonhazardous surrogate material, proved that the system was capable of loosening the hard-packed heel, homogenizing the entire tank contents, and collecting a representative sample. Based on the success of the demonstration, a detailed evaluation was done to determine the applicability of the system to other tanks. The evaluation included the sorting of data on more than 700 tanks to select candidates for further deployment of the system. A detailed study was also done to determine if the purchase of a second system would be cost effective. The results of the evaluation indicated that a total of thirteen tanks at the INEEL are amenable to sampling and/or remediation using the AEA Fluidic Pulse Mixing and Retrieval System. Although the currently-owned system appears sufficient for the needs of one INEEL program, it is insufficient to meet the combined needs at the INEEL. The INEEL will commence operation of the system on the TRA-730 Catch Tank System in June 2002.

  12. Appendix A. Hydraulic Properties Statistics Tables Table A1. Hydraulic properties statistics for the alluvium (Stephens et al.).

    E-Print Network [OSTI]

    A-1 Appendix A. Hydraulic Properties Statistics Tables Table A1. Hydraulic properties statistics Deviation .1708 4.274 28.95 Harmonic Mean Number of Observations 9 8 8 2 2 2 2 2 Table A2. Hydraulic.310-5 Number of Observations 10 10 10 34 34 4 4 4 #12;A-2 Table A3. Hydraulic properties statistics

  13. Location Coding for Mobile Image Retrieval Sam S. Tsai

    E-Print Network [OSTI]

    Girod, Bernd

    Location Coding for Mobile Image Retrieval Sam S. Tsai , David Chen , Gabriel Takacs , Vijay, gtakacs, vijayc, bgirod}@stanford.edu, jatinder.singh@telekom.de ABSTRACT For mobile image retrieval images using a "bag-of-words" approach while the latter is used in a geometric consistency check to map

  14. Societal Research Archives System : Retrieval, quality control and analysis

    E-Print Network [OSTI]

    White, Douglas R.

    Societal Research Archives System : Retrieval, quality control and analysis of comparative data sample selection and data retrieval to correlation, data quality control, and testing for genetic, and White, 1967a). This represents 40 % of the approximate total number of such publications, but over 90

  15. Conceptual modelling for domain specific document description and retrieval

    E-Print Network [OSTI]

    and are applied in the tasks of describing and retrieving documents, within cooperative document management settings, where the users themselves have to perform the document management tasks they need in orderConceptual modelling for domain specific document description and retrieval - An approach

  16. Content-Based Document Image Retrieval in Complex Document Collections

    E-Print Network [OSTI]

    Content-Based Document Image Retrieval in Complex Document Collections G. Agama, S. Argamona, O address the problem of content-based image retrieval in the context of complex document images. Complex document are documents that typically start out on paper and are then electronically scanned. These docu

  17. 8, 42674308, 2008 3-D retrieval of cloud

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ACPD 8, 4267­4308, 2008 3-D retrieval of cloud particle profiles T. Zinner et al. Title Page.0 License. Atmospheric Chemistry and Physics Discussions Remote sensing of cloud sides of deep convection: towards a three-dimensional retrieval of cloud particle size profiles T. Zinner 1,2 , A. Marshak 1 , S

  18. PIRMAP: Efficient Private Information Retrieval for MapReduce

    E-Print Network [OSTI]

    {travism,blass,ahchan}@ccs.neu.edu Abstract. Private Information Retrieval (PIR) allows a user to retrieve bits from a database while hiding the user's access pattern. However, the practicality of PIR in a real-world cloud computing setting has recently been questioned. In such a setting, PIR's enormous computation

  19. A Random Server Model for Private Information Retrieval or

    E-Print Network [OSTI]

    Goldwasser, Shafi

    model for PIR (or SPIR), which allows us to achieve significant improvements both in terms of securityA Random Server Model for Private Information Retrieval or How to Achieve Information Theoretic PIR, Cambridge, MA 02139, USA fshafi,talg@theory.lcs.mit.edu Abstract. Private information retrieval (PIR

  20. Efficient Computationally Private Information Retrieval From Anonymity or Trapdoor Groups

    E-Print Network [OSTI]

    family of cPIR protocols with a variety of security and performance properties. Our protocols enable much. Laurel, MD 20723 Abstract A Private Information Retrieval (PIR) protocol allows a database user data was retrieved. Although substantial progress has been made in the discovery of computationally PIR

  1. Private Information Retrieval An overview and current trends

    E-Print Network [OSTI]

    Freytag, Johann-Christoph

    a server was not considered feasible until the private infor- mation retrieval (PIR) problem was stated recently. A PIR protocol allows a user to retrieve a record from a database while hiding the identity of the record from a database server. We explain a motivation for PIR by demonstrating e- commerce examples

  2. 3D Model Retrieval based on Adaptive Views Clustering

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    3D Model Retrieval based on Adaptive Views Clustering Tarik Filali Ansary1 , Mohamed Daoudi2 , Jean.daoudi@univ-tours.fr http://www-rech.enic.fr/miire Abstract. In this paper, we propose a method for 3D model indexing based selection of 2D views from a 3D model, and a probabilistic Bayesian method for 3D model retrieval from

  3. Retrieval of ozone and nitrogen dioxide concentrations from Stratospheric Aerosol and Gas Experiment III (SAGE III)

    E-Print Network [OSTI]

    Retrieval of ozone and nitrogen dioxide concentrations from Stratospheric Aerosol and Gas extinction. We retrieve ozone and nitrogen dioxide number densities and aerosol extinction from transmission), Retrieval of ozone and nitrogen dioxide concentrations from Stratospheric Aerosol and Gas Experiment III

  4. Satellite observations of ozone and nitrogen dioxide: from retrievals to emission estimates

    E-Print Network [OSTI]

    Haak, Hein

    Satellite observations of ozone and nitrogen dioxide: from retrievals to emission estimates #12 Satellite observations of ozone and nitrogen dioxide: from retrievals to emission es- timates / by Bas Subject headings: satellite retrieval / nitrogen dioxide / ozone / air pollution / emis- sion estimates

  5. Techniques for Intravascular Foreign Body Retrieval

    SciTech Connect (OSTI)

    Woodhouse, Joe B.; Uberoi, Raman, E-mail: raman.uberoi@orh.nhs.uk [Oxford University Hospitals (United Kingdom)

    2013-08-01T23:59:59.000Z

    As endovascular therapies increase in frequency, the incidence of lost or embolized foreign bodies is increasing. The presence of an intravascular foreign body (IFB) is well recognized to have the potential to cause serious complications. IFB can embolize and impact critical sites such as the heart, with subsequent significant morbidity or mortality. Intravascular foreign bodies most commonly result from embolized central line fragments, but they can originate from many sources, both iatrogenic and noniatrogenic. The percutaneous approach in removing an IFB is widely perceived as the best way to retrieve endovascular foreign bodies. This minimally invasive approach has a high success rate with a low associated morbidity, and it avoids the complications related to open surgical approaches. We examined the characteristics, causes, and incidence of endovascular embolizations and reviewed the various described techniques that have been used to facilitate subsequent explantation of such materials.

  6. Satellite Multiangle Cumulus Geometry Retrieval: Case Study

    SciTech Connect (OSTI)

    Kassianov, Evgueni I.; Ackerman, Thomas P.; Marchand, Roger T.; Ovtchinnikov, Mikhail

    2003-02-08T23:59:59.000Z

    Most satellite-based analyses have been conducted using near nadir-viewing sensors. The Multi-angle Imaging SpectroRadiometer (MISR), recently launched on the National Aeronautics and Space Administration (NASA) Terra platform, provides high-resolution measurements of reflectance at nine different viewing angles. In this study, we examine the possible retrieval of detailed cumulus geometry using the new and unique MISR datasets. We suggested one approach and apply it to an early MISR dataset of small marine cumulus clouds. This paper also presents validation analysis of this technique with both independent ground-based radar measurements and a model-output inverse problem. Collocated and coincident MISR data and ground-based observations at the Atmospheric Radiation Measurement (ARM) Tropical Western Pacific (TWP) site form the basis of this validation. Future work will attempt to test the suggested approach with additional MISR scenes.

  7. Storage and retrieval of large digital images

    DOE Patents [OSTI]

    Bradley, Jonathan N. (Los Alamos, NM)

    1998-01-01T23:59:59.000Z

    Image compression and viewing are implemented with (1) a method for performing DWT-based compression on a large digital image with a computer system possessing a two-level system of memory and (2) a method for selectively viewing areas of the image from its compressed representation at multiple resolutions and, if desired, in a client-server environment. The compression of a large digital image I(x,y) is accomplished by first defining a plurality of discrete tile image data subsets T.sub.ij (x,y) that, upon superposition, form the complete set of image data I(x,y). A seamless wavelet-based compression process is effected on I(x,y) that is comprised of successively inputting the tiles T.sub.ij (x,y) in a selected sequence to a DWT routine, and storing the resulting DWT coefficients in a first primary memory. These coefficients are periodically compressed and transferred to a secondary memory to maintain sufficient memory in the primary memory for data processing. The sequence of DWT operations on the tiles T.sub.ij (x,y) effectively calculates a seamless DWT of I(x,y). Data retrieval consists of specifying a resolution and a region of I(x,y) for display. The subset of stored DWT coefficients corresponding to each requested scene is determined and then decompressed for input to an inverse DWT, the output of which forms the image display. The repeated process whereby image views are specified may take the form an interaction with a computer pointing device on an image display from a previous retrieval.

  8. Storage and retrieval of large digital images

    DOE Patents [OSTI]

    Bradley, J.N.

    1998-01-20T23:59:59.000Z

    Image compression and viewing are implemented with (1) a method for performing DWT-based compression on a large digital image with a computer system possessing a two-level system of memory and (2) a method for selectively viewing areas of the image from its compressed representation at multiple resolutions and, if desired, in a client-server environment. The compression of a large digital image I(x,y) is accomplished by first defining a plurality of discrete tile image data subsets T{sub ij}(x,y) that, upon superposition, form the complete set of image data I(x,y). A seamless wavelet-based compression process is effected on I(x,y) that is comprised of successively inputting the tiles T{sub ij}(x,y) in a selected sequence to a DWT routine, and storing the resulting DWT coefficients in a first primary memory. These coefficients are periodically compressed and transferred to a secondary memory to maintain sufficient memory in the primary memory for data processing. The sequence of DWT operations on the tiles T{sub ij}(x,y) effectively calculates a seamless DWT of I(x,y). Data retrieval consists of specifying a resolution and a region of I(x,y) for display. The subset of stored DWT coefficients corresponding to each requested scene is determined and then decompressed for input to an inverse DWT, the output of which forms the image display. The repeated process whereby image views are specified may take the form an interaction with a computer pointing device on an image display from a previous retrieval. 6 figs.

  9. Table of hyperfine anomaly in atomic systems

    SciTech Connect (OSTI)

    Persson, J.R., E-mail: jonas.persson@ntnu.no

    2013-01-15T23:59:59.000Z

    This table is a compilation of experimental values of magnetic hyperfine anomaly in atomic and ionic systems. The last extensive compilation was published in 1984 by Bttgenbach [S. Bttgenbach, Hyperfine Int. 20 (1984) 1] and the aim here is to make an up to date compilation. The literature search covers the period up to January 2011.

  10. STUDENT HANDBOOK Table of Contents Page Number

    E-Print Network [OSTI]

    Saskatchewan, University of

    STUDENT HANDBOOK Campus #12;Table of Contents Page Number Welcome 1 The School 1 Mission Statement Student Resources 8 Financial Aid and Funding Sources Writing Supports 9 Special Needs Computers Libraries RefWorks 10 Student Services 11 Administrative Information 14 Student ID, and Email Accounts U of R

  11. Student Mobile Device Survey Table of Contents

    E-Print Network [OSTI]

    Martin, Stephen John

    CiCS. Student Mobile Device Survey 2011 Table of Contents Section Number Subject Page 1 With little information and supporting evidence on student ownership and usage of mobile devices at the University of Sheffield, making decisions on our services and support for mobile devices has been based

  12. Philosophy 57 Greensheet (Syllabus) Table of Contents

    E-Print Network [OSTI]

    Fitelson, Branden

    Philosophy 57 Greensheet (Syllabus) Table of Contents: Instructor Information Course Home Page Greensheet Page Page 1 of 3http://philosophy.wisc.edu/fitelson/57/syllabus.htm #12;I highly recommend using/syllabus.htm #12;Your 2 lowest quiz grades will be dropped ( , your 5 best quiz scores will be averaged). i

  13. CONTENTDM ADVANCED SEARCH TUTORIAL Table of Contents

    E-Print Network [OSTI]

    O'Laughlin, Jay

    1 CONTENTDM ADVANCED SEARCH TUTORIAL Table of Contents 1. Accessing the Advanced Search Page 1 2. Navigating the Advanced Search Page 3 3. Selecting your collection to search Advanced Search from the right navigation menu. 2 This will take you into the CONTENTdm database

  14. Fast mix table construction for material discretization

    SciTech Connect (OSTI)

    Johnson, S. R. [Oak Ridge National Laboratory, Oak Ridge, TN 37831 (United States)

    2013-07-01T23:59:59.000Z

    An effective hybrid Monte Carlo-deterministic implementation typically requires the approximation of a continuous geometry description with a discretized piecewise-constant material field. The inherent geometry discretization error can be reduced somewhat by using material mixing, where multiple materials inside a discrete mesh voxel are homogenized. Material mixing requires the construction of a 'mix table,' which stores the volume fractions in every mixture so that multiple voxels with similar compositions can reference the same mixture. Mix table construction is a potentially expensive serial operation for large problems with many materials and voxels. We formulate an efficient algorithm to construct a sparse mix table in O(number of voxels x log number of mixtures) time. The new algorithm is implemented in ADVANTG and used to discretize continuous geometries onto a structured Cartesian grid. When applied to an end-of-life MCNP model of the High Flux Isotope Reactor with 270 distinct materials, the new method improves the material mixing time by a factor of 100 compared to a naive mix table implementation. (authors)

  15. VEHICLE SERVICES POLICY Table of Contents

    E-Print Network [OSTI]

    Shihadeh, Alan

    VEHICLE SERVICES POLICY Table of Contents 1. Policy 2. Procedures a. Vehicle Services Oversight b. Vehicle Maintenance and Inspection c. Authorized Drivers d. Responsibilities Back to Top (To download requirements for AUB's vehicles, the University has adopted a policy of centralizing these activities under one

  16. Section 4. Inventory Table of Contents

    E-Print Network [OSTI]

    Section 4. Inventory Table of Contents 4.1 Existing Legal Protections........................................................................................................... 14 #12;Draft Umatilla/Willow Subbasin Plan May 28, 2004 4. Inventory of Existing Activities The following section contains information derived from an inventory questionnaire that was sent

  17. ii Colorado Climate Table of Contents

    E-Print Network [OSTI]

    #12;ii Colorado Climate Table of Contents Web: http://climate.atmos.colostate.edu Colorado Climate Winter 2001-2002 Vol. 3, No. 1 Why Is the Park Range Colorado's Snowfall Capital? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .10 The Cold-Land Processes Field Experiment: North-Central Colorado

  18. ii Colorado Climate Table of Contents

    E-Print Network [OSTI]

    #12;ii Colorado Climate Table of Contents An Unusually Heavy Snowfall in North Central Colorado . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 A Brief History of Colorado's Most Notable Snowstorms" . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .18 Colorado Climate Water Year 2003 Vol. 4, No. 1-4 If you have a photo or slide that your would like

  19. VEHICLES, MACHINERY AND EQUIPMENT Table Of Contents

    E-Print Network [OSTI]

    US Army Corps of Engineers

    of a license/permit for each piece of equipment, an Operator Equipment Qualification Record (DA Form 348EM 385-1-1 XX Sep 13 i Section 18 VEHICLES, MACHINERY AND EQUIPMENT Table Of Contents Section: Page...................................................................18-16 18.G Machinery And Mechanized Equipment.........................18-16 18.H Drilling Equipment

  20. SciTech Connect: Radioactive decay data tables

    Office of Scientific and Technical Information (OSTI)

    Radioactive decay data tables Citation Details In-Document Search Title: Radioactive decay data tables You are accessing a document from the Department of Energy's (DOE) SciTech...

  1. MemTable : contextual memory in group workspaces

    E-Print Network [OSTI]

    Hunter, Seth E

    2009-01-01T23:59:59.000Z

    This thesis presents the design and implementation of MemTable, an interactive touch table that supports co-located group meetings by capturing both digital and physical interactions in its memory. The goal of the project ...

  2. Table Contents Page i 2013 Nonresidential Compliance Manual January 2014

    E-Print Network [OSTI]

    Table B-1 Room Air Conditioner, Room Air-Conditioning Heat Pump, Packaged Terminal Air Conditioner ....................................................................................11 Table B-2 Standards for Room Air Conditioners and Room Air-Conditioning Heat Pumps...........12 Central Air Conditioner Test Methods

  3. Petroleum Products Table 31. Motor Gasoline Prices by Grade...

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

    99.2 - 105.3 See footnotes at end of table. 56 Energy Information AdministrationPetroleum Marketing Annual 2000 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD...

  4. Petroleum Products Table 31. Motor Gasoline Prices by Grade...

    Gasoline and Diesel Fuel Update (EIA)

    66.6 - 72.3 See footnotes at end of table. 56 Energy Information Administration Petroleum Marketing Annual 1995 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD...

  5. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

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

    133.6 - 276.4 See footnotes at end of table. 220 Energy Information AdministrationPetroleum Marketing Annual 2000 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type,...

  6. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

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

    201.3 - 453.3 See footnotes at end of table. 262 Energy Information Administration Petroleum Marketing Annual 1995 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type,...

  7. Hanford Site Shares Lessons Learned in Retrieving Highly Radioactive...

    Energy Savers [EERE]

    January 29, 2014 - 12:00pm Addthis A team from the Oak Ridge Office of Environmental Management observes equipment that will be used to retrieve highly radioactive sludge at the...

  8. Computational imaging for 3D phase and coherence retrieval |...

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

    Computational imaging for 3D phase and coherence retrieval Wednesday, December 10, 2014 - 3:00pm SLAC, Redtail Hawk Conference Room 108A Speaker: Laura Waller (UC Berkeley) Program...

  9. Automatically Building a Stopword List for an Information Retrieval System

    E-Print Network [OSTI]

    Lo, T.W.R.; He, B.; Ounis, I.

    Lo,T.W.R. He,B. Ounis,I. Journal of Digital Information Management: special issue on the 5th Dutch-Belgian Information Retrieval Workshop (DIR'05).

  10. ARM: Microwave Radiometer data (MWR Profiles - QME), water vapor, temp, cloud liquid water, precip water retrievals

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

    Cadeddu, Maria

    Microwave Radiometer data (MWR Profiles - QME), water vapor, temp, cloud liquid water, precip water retrievals

  11. Environmental Regulatory Update Table, January/February 1992

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1992-03-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action. This table is for January/February 1992.

  12. SNF fuel retrieval sub project safety analysis document

    SciTech Connect (OSTI)

    BERGMANN, D.W.

    1999-02-24T23:59:59.000Z

    This safety analysis is for the SNF Fuel Retrieval (FRS) Sub Project. The FRS equipment will be added to K West and K East Basins to facilitate retrieval, cleaning and repackaging the spent nuclear fuel into Multi-Canister Overpack baskets. The document includes a hazard evaluation, identifies bounding accidents, documents analyses of the accidents and establishes safety class or safety significant equipment to mitigate accidents as needed.

  13. CHALLENGES WITH RETRIEVING TRANSURANIC WASTE FROM THE HANFORD BURIAL GROUNDS

    SciTech Connect (OSTI)

    SWAN, R.J.; LAKES, M.E.

    2007-08-06T23:59:59.000Z

    The U.S. DOE's Hanford Reservation produced plutonium and other nuclear materials for the nation's defense starting in World War II. The defense mission generated wastes that were either retrievably stored (i.e. retrievably stored waste) and/or disposed of in burial grounds. Challenges have emerged from retrieving suspect TRU waste including adequacy of records, radiological concerns, container integrity, industrial hygiene and safety issues, the lack of processing/treatment facilities, and the integration of regulatory requirements. All retrievably stored waste is managed as mixed waste and assumed to be TRU waste, unless documented otherwise. Mixed waste is defined as radioactive waste that contains hazardous constituents. The Atomic Energy Act governs waste with radionuclides, and the Resource Conservation and Recovery Act (RCRA) governs waste with hazardous constituents. Waste may also be governed by the Toxic Substances Control Act (TSCA), and a portion may be managed under the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA). In 1970, TRU waste was required to be placed in 20-year retrievable storage and segregated from other Waste. Prior to that date, segregation did not occur. Because of the changing definition of TRU over the years, and the limitations of early assay equipment, all retrievably stored waste in the burial grounds is managed as suspect TRU. Experience has shown that some of this waste will be characterized as low-level (non-TRU) waste after assay. The majority of the retrieved waste is not amenable to sampling due to waste type and/or radiological issues. Key to waste retrieval and disposition are characterization, historical investigation and research, knowledge of past handling and packaging, as well as a broad understanding and application of the regulations.

  14. Effective July 1, 2013 Table of Organization: College of Law

    E-Print Network [OSTI]

    Stanier, Charlie

    Effective July 1, 2013 Table of Organization: College of Law Dean Gail Agrawal Assistant to the Dean Legal Clinic Julie Kramer {See Clinic Table for organization} Special Assistant to the Dean Gerhild Krapf Centers {See separate tables for organization} Assoc. Dean for Research Assoc. Dean Assoc

  15. Environmental Regulatory Update Table, January/February 1995

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Mayer, S.J.; Salk, M.S.

    1995-03-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives impacting environmental, health, and safety management responsibilities. the table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  16. New Retrievable Coil Anchors: Preliminary In Vivo Experiences in Swine

    SciTech Connect (OSTI)

    Konya, A., E-mail: akonya@mdanderson.org; Wright, K.C. [University of Texas M.D. Anderson Cancer Center, Section of Interventional Radiology, Division of Diagnostic Imaging (United States)

    2005-04-15T23:59:59.000Z

    Purpose. To design and test retrievable coil anchors to improve the safety and efficacy of coil embolization. Methods. Fifty-two 0.038-inch homemade retrievable stainless steel coils were equipped with one of four different pre-shaped nitinol anchors and tested in 38 pigs. All coils with the anchor were completely retrieved and redeployed 3-18 times (median 7 times) prior to release. Types 1 and 2 anchored coils were acutely deployed in the external iliac arteries (n = 10 each), and chronically tested (1 week) in the common carotid arteries (n = 6 each). Larger type 1 (n = 4), type 3 (n = 6), and type 4 (n = 4) anchored coils were acutely deployed in the abdominal aorta. The largest type 1 anchors (n = 6) were acutely tested in the inferior vena cava. Results. All anchored coils were successfully retrieved and repositioned several times. All but two coils formed a compact plug and there was no coil migration except with two mechanically defective type 3 anchors. Conclusion. The use of retrievable anchors allowed the coils to be retrieved and repositioned, prevented coil migration, and enabled compact coil configuration.

  17. Cloud Property Retrieval Products for Graciosa Island, Azores

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

    Dong, Xiquan

    The motivation for developing this product was to use the Dong et al. 1998 method to retrieve cloud microphysical properties, such as cloud droplet effective radius, cloud droplets number concentration, and optical thickness. These retrieved properties have been used to validate the satellite retrieval, and evaluate the climate simulations and reanalyses. We had been using this method to retrieve cloud microphysical properties over ARM SGP and NSA sites. We also modified the method for the AMF at Shouxian, China and some IOPs, e.g. ARM IOP at SGP in March, 2000. The ARSCL data from ARM data archive over the SGP and NSA have been used to determine the cloud boundary and cloud phase. For these ARM permanent sites, the ARSCL data was developed based on MMCR measurements, however, there were no data available at the Azores field campaign. We followed the steps to generate this derived product and also include the MPLCMASK cloud retrievals to determine the most accurate cloud boundaries, including the thin cirrus clouds that WACR may under-detect. We use these as input to retrieve the cloud microphysical properties. Due to the different temporal resolutions of the derived cloud boundary heights product and the cloud properties product, we submit them as two separate netcdf files.

  18. Hanford contact-handled transuranic drum retrieval project planning document

    SciTech Connect (OSTI)

    DEMITER, J.A.

    1998-11-17T23:59:59.000Z

    The Hanford Site is one of several US Department of Energy (DOE) sites throughout the US that has generated and stored transuranic (TRU) wastes. The wastes were primarily placed in 55-gallon drums, stacked in trenches, and covered with soil. In 1970, the Nuclear Regulatory Commission ordered that TRU wastes be segregated from other radioactive wastes and placed in retrievable storage until such time that the waste could be sent to a geologic repository and permanently disposed. Retrievable storage also defined container storage life by specifying that a container must be retrievable as a contamination-free container for 20 years. Hanford stored approximately 37,400 TRU containers in 20-year retrievable storage from 1970 to 1988. The Hanford TRU wastes placed in 20-year retrievable storage are considered disposed under existing Resource Conservation and Recovery Act (RCRA) regulations since they were placed in storage prior to September 1988. The majority of containers were 55-gallon drums, but 20-year retrievable storage includes several TRU wastes covered with soil in different storage methods.

  19. Cloud Property Retrieval Products for Graciosa Island, Azores

    SciTech Connect (OSTI)

    Dong, Xiquan

    2014-05-05T23:59:59.000Z

    The motivation for developing this product was to use the Dong et al. 1998 method to retrieve cloud microphysical properties, such as cloud droplet effective radius, cloud droplets number concentration, and optical thickness. These retrieved properties have been used to validate the satellite retrieval, and evaluate the climate simulations and reanalyses. We had been using this method to retrieve cloud microphysical properties over ARM SGP and NSA sites. We also modified the method for the AMF at Shouxian, China and some IOPs, e.g. ARM IOP at SGP in March, 2000. The ARSCL data from ARM data archive over the SGP and NSA have been used to determine the cloud boundary and cloud phase. For these ARM permanent sites, the ARSCL data was developed based on MMCR measurements, however, there were no data available at the Azores field campaign. We followed the steps to generate this derived product and also include the MPLCMASK cloud retrievals to determine the most accurate cloud boundaries, including the thin cirrus clouds that WACR may under-detect. We use these as input to retrieve the cloud microphysical properties. Due to the different temporal resolutions of the derived cloud boundary heights product and the cloud properties product, we submit them as two separate netcdf files.

  20. Relationships in design build

    E-Print Network [OSTI]

    Wampler, Charles Wilson

    2010-01-01T23:59:59.000Z

    As design build (DB) becomes more popular, different ways of writing contracts and forming relationships with the various parties are being considered. The main point of this paper is to look at the relationships between ...

  1. Mescalero Apache Tribe Monitored Retrievable Storage (MRS)

    SciTech Connect (OSTI)

    Peso, F.

    1992-03-13T23:59:59.000Z

    The Nuclear Waste Policy Act of 1982, as amended, authorizes the siting, construction and operation of a Monitored Retrievable Storage (MRS) facility. The MRS is intended to be used for the temporary storage of spent nuclear fuel from the nation's nuclear power plants beginning as early as 1998. Pursuant to the Nuclear Waste Policy Act, the Office of the Nuclear Waste Negotiator was created. On October 7, 1991, the Nuclear Waste Negotiator invited the governors of states and the Presidents of Indian tribes to apply for government grants in order to conduct a study to assess under what conditions, if any, they might consider hosting an MRS facility. Pursuant to this invitation, on October 11, 1991 the Mescalero Apache Indian Tribe of Mescalero, NM applied for a grant to conduct a phased, preliminary study of the safety, technical, political, environmental, social and economic feasibility of hosting an MRS. The preliminary study included: (1) An investigative education process to facilitate the Tribe's comprehensive understanding of the safety, environmental, technical, social, political, and economic aspects of hosting an MRS, and; (2) The development of an extensive program that is enabling the Tribe, in collaboration with the Negotiator, to reach an informed and carefully researched decision regarding the conditions, (if any), under which further pursuit of the MRS would be considered. The Phase 1 grant application enabled the Tribe to begin the initial activities necessary to determine whether further consideration is warranted for hosting the MRS facility. The Tribe intends to pursue continued study of the MRS in order to meet the following objectives: (1) Continuing the education process towards a comprehensive understanding of the safety, environmental, technical, social and economic aspects of the MRS; (2) Conducting an effective public participation and information program; (3) Participating in MRS meetings.

  2. Un exemple de conversion d'une table de production en volume en tables de production en biomasse

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Un exemple de conversion d'une table de production en volume en tables de production en biomasse secteur ligérien, proposée par PARD? en 1962, est convertie en quatre tables de production en biomasse correspondant chacune à une partie de l'arbre ou à l'arbre entier, biomasse foliaire exclue. La conversion est

  3. Integral CFLs performance in table lamps

    SciTech Connect (OSTI)

    Page, E.; Driscoll, D.; Siminovitch, M.

    1997-03-01T23:59:59.000Z

    This paper focuses on performance variations associated with lamp geometry and distribution in portable table luminaires. If correctly retrofit with compact fluorescent lamps (CFLs), these high use fixtures produce significant energy savings, but if misused, these products could instead generate consumer dissatisfaction with CFLs. It is the authors assertion that the lumen distribution of the light source within the luminaires plays a critical role in total light output, fixture efficiency and efficacy, and, perhaps most importantly, perceived brightness. The authors studied nearly 30 different integral (screw-based) CFLs available on the market today in search of a lamp, or group of lamps, which work best in portable table luminaires. The findings conclusively indicate that horizontally oriented CFLs outperform all other types of CFLs in nearly every aspect.

  4. Tables of thermodynamic properties of sodium

    SciTech Connect (OSTI)

    Fink, J.K.

    1982-06-01T23:59:59.000Z

    The thermodynamic properties of saturated sodium, superheated sodium, and subcooled sodium are tabulated as a function of temperature. The temperature ranges are 380 to 2508 K for saturated sodium, 500 to 2500 K for subcooled sodium, and 400 to 1600 K for superheated sodium. Tabulated thermodynamic properties are enthalpy, heat capacity, pressure, entropy, density, instantaneous thermal expansion coefficient, compressibility, and thermal pressure coefficient. Tables are given in SI units and cgs units.

  5. Table Definitions, Sources, and Explanatory Notes

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.Number

  6. Hanford Tanks Initiative fiscal year 1997 retrieval technology demonstrations

    SciTech Connect (OSTI)

    Berglin, E.J.

    1998-02-05T23:59:59.000Z

    The Hanford Tanks Initiative was established in 1996 to address a range of retrieval and closure issues associated with radioactive and hazardous waste stored in Hanford`s single shell tanks (SSTs). One of HTI`s retrieval goals is to ``Successfully demonstrate technology(s) that provide expanded capabilities beyond past practice sluicing and are extensible to retrieve waste from other SSTS.`` Specifically, HTI is to address ``Alternative technologies to past practice sluicing`` ... that can ... ``successfully remove the hard heel from a sluiced tank or to remove waste from a leaking SST`` (HTI Mission Analysis). During fiscal year 1997, the project contracted with seven commercial vendor teams to demonstrate retrieval technologies using waste simulants. These tests were conducted in two series: three integrated tests (IT) were completed in January 1997, and four more comprehensive Alternative Technology Retrieval Demonstrations (ARTD) were completed in July 1997. The goal of this testing was to address issues to minimize the risk, uncertainties, and ultimately the overall cost of removing waste from the SSTS. Retrieval technologies can be separated into three tracks based on how the tools would be deployed in the tank: globally (e.g., sluicing) or using vehicles or robotic manipulators. Accordingly, the HTI tests included an advanced sluicer (Track 1: global systems), two different vehicles (Track 2: vehicle based systems), and three unique manipulators (Track 3: arm-based systems), each deploying a wide range of dislodging tools and conveyance systems. Each industry team produced a system description as envisioned for actual retrieval and a list of issues that could prevent using the described system; defined the tests to resolve the issues; performed the test; and reported the results, lessons learned, and state of issue resolution. These test reports are cited in this document, listed in the reference section, and summarized in the appendices. This report analyzes the retrieval testing issues and describes what has been learned and issues that need further resolution. As such, it can serve as a guide to additional testing that must be performed before the systems are used in-tank. The major issues discussed are tank access, deployment, mining strategy, waste retrieval, liquid scavenging (liquid usage), maneuverability, positioning, static and dynamic performance, remote operations, reliability, availability, maintenance, tank safety, and cost.

  7. SLUDGE RETRIEVAL FROM HANFORD K WEST BASIN SETTLER TANKS

    SciTech Connect (OSTI)

    ERPENBECK EG; LESHIKAR GA

    2011-01-13T23:59:59.000Z

    In 2010, an innovative, remotely operated retrieval system was deployed to successfully retrieve over 99.7% of the radioactive sludge from ten submerged tanks in Hanford's K-West Basin. As part of K-West Basin cleanup, the accumulated sludge needed to be removed from the 0.5 meter diameter by 5 meter long settler tanks and transferred approximately 45 meters to an underwater container for sampling and waste treatment. The abrasive, dense, non-homogeneous sludge was the product of the washing process of corroded nuclear fuel. It consists of small (less than 600 micron) particles of uranium metal, uranium oxide, and various other constituents, potentially agglomerated or cohesive after 10 years of storage. The Settler Tank Retrieval System (STRS) was developed to access, mobilize and pump out the sludge from each tank using a standardized process of retrieval head insertion, periodic high pressure water spray, retraction, and continuous pumping of the sludge. Blind operations were guided by monitoring flow rate, radiation levels in the sludge stream, and solids concentration. The technology developed and employed in the STRS can potentially be adapted to similar problematic waste tanks or pipes that must be remotely accessed to achieve mobilization and retrieval of the sludge within.

  8. PROPERTY TABLES AND CHARTS (SI UNITS) Table A1 Molar mass, gas constant, and

    E-Print Network [OSTI]

    Kostic, Milivoje M.

    .0943 Carbon monoxide CO 28.011 0.2968 133 3.50 0.0930 Carbon tetrachloride CCl4 153.82 0.05405 556.4 4.56 0 Table A­20 Ideal-gas properties of carbon dioxide, CO2 Table A­21 Ideal-gas properties of carbon.1355 n-Butane C4H10 58.124 0.1430 425.2 3.80 0.2547 Carbon dioxide CO2 44.01 0.1889 304.2 7.39 0

  9. THE RETRIEVAL KNOWLEDGE CENTER EVALUATION OF LOW TANK LEVEL MIXING TECHNOLOGIES FOR DOE HIGH LEVEL WASTE TANK RETRIEVAL 10516

    SciTech Connect (OSTI)

    Fellinger, A.

    2009-12-08T23:59:59.000Z

    The Department of Energy (DOE) Complex has over two-hundred underground storage tanks containing over 80-million gallons of legacy waste from the production of nuclear weapons. The majority of the waste is located at four major sites across the nation and is planned for treatment over a period of almost forty years. The DOE Office of Technology Innovation & Development within the Office of Environmental Management (DOE-EM) sponsors technology research and development programs to support processing advancements and technology maturation designed to improve the costs and schedule for disposal of the waste and closure of the tanks. Within the waste processing focus area are numerous technical initiatives which included the development of a suite of waste removal technologies to address the need for proven equipment and techniques to remove high level radioactive wastes from the waste tanks that are now over fifty years old. In an effort to enhance the efficiency of waste retrieval operations, the DOE-EM Office of Technology Innovation & Development funded an effort to improve communications and information sharing between the DOE's major waste tank locations as it relates to retrieval. The task, dubbed the Retrieval Knowledge Center (RKC) was co-lead by the Savannah River National Laboratory (SRNL) and the Pacific Northwest National Laboratory (PNNL) with core team members representing the Oak Ridge and Idaho sites, as well as, site contractors responsible for waste tank operations. One of the greatest challenges to the processing and closure of many of the tanks is complete removal of all tank contents. Sizeable challenges exist for retrieving waste from High Level Waste (HLW) tanks; with complications that are not normally found with tank retrieval in commercial applications. Technologies currently in use for waste retrieval are generally adequate for bulk removal; however, removal of tank heels, the materials settled in the bottom of the tank, using the same technology have proven to be difficult. Through the RKC, DOE-EM funded an evaluation of adaptable commercial technologies that could assist with the removal of the tank heels. This paper will discuss the efforts and results of developing the RKC to improve communications and discussion of tank waste retrieval through a series of meetings designed to identify technical gaps in retrieval technologies at the DOE Hanford and Savannah River Sites. This paper will also describe the results of an evaluation of commercially available technologies for low level mixing as they might apply to HLW tank heel retrievals.

  10. Quantum Private Information Retrieval has linear communication complexity

    E-Print Network [OSTI]

    min Baumeler; Anne Broadbent

    2014-01-29T23:59:59.000Z

    In Private Information Retrieval (PIR), a client queries an n-bit database in order to retrieve an entry of her choice, while maintaining privacy of her query value. Chor, Goldreich, Kushilevitz, and Sudan showed that, in the information-theoretical setting, a linear amount of communication is required for classical PIR protocols (and thus that the trivial protocol is optimal). This linear lower bound was shown by Nayak to hold also in the quantum setting. Here, we extend Nayak's result by considering approximate privacy, and requiring security only against "specious" adversaries, which are, in analogy to classical honest-but-curious adversaries, the weakest reasonable quantum adversaries. We show that, even in this weakened scenario, Quantum Private Information Retrieval (QPIR) requires n qubits of communication. From this follows that Le Gall's recent QPIR protocol with sublinear communication complexity is not information-theoretically private, against the weakest reasonable cryptographic adversary.

  11. Table 3.1 Fuel Consumption, 2010;

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  12. Table Definitions, Sources, and Explanatory Notes

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  13. Table Definitions, Sources, and Explanatory Notes

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  14. Table Definitions, Sources, and Explanatory Notes

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  15. Table Definitions, Sources, and Explanatory Notes

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  16. Table Definitions, Sources, and Explanatory Notes

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  17. Table Definitions, Sources, and Explanatory Notes

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  18. Table Definitions, Sources, and Explanatory Notes

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  19. Table Definitions, Sources, and Explanatory Notes

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  20. Table Definitions, Sources, and Explanatory Notes

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  1. Table Definitions, Sources, and Explanatory Notes

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  2. Table Definitions, Sources, and Explanatory Notes

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  3. Table Definitions, Sources, and Explanatory Notes

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  4. Table Definitions, Sources, and Explanatory Notes

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  5. Table Definitions, Sources, and Explanatory Notes

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  6. Table Definitions, Sources, and Explanatory Notes

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  7. Table Definitions, Sources, and Explanatory Notes

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  8. Table Definitions, Sources, and Explanatory Notes

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  9. Table Definitions, Sources, and Explanatory Notes

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  10. Table Definitions, Sources, and Explanatory Notes

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  11. Table Definitions, Sources, and Explanatory Notes

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  12. TableHC10.1.xls

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  13. TableHC10.13.xls

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  14. TableHC10.3.xls

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  15. TableHC10.8.xls

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  16. TableHC11.12.xls

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  17. TableHC11.13.xls

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  18. TableHC11.3.xls

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  19. TableHC11.8.xls

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  20. TableHC12.1.xls

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  1. TableHC12.13.xls

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  2. TableHC12.3.xls

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  3. TableHC12.8.xls

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  4. TableHC13.1.xls

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  5. TableHC13.13.xls

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  6. TableHC13.3.xls

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  7. TableHC13.8.xls

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  8. TableHC14.1.xls

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  9. TableHC14.13.xls

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  10. TableHC14.3.xls

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  11. TableHC14.5.xls

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  12. TableHC14.8.xls

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  13. TableHC15.1.xls

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  14. TableHC15.3.xls

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  15. TableHC15.8.xls

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  16. TableHC2.1.xls

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  17. TableHC2.1.xls

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  18. TableHC2.10.xls

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  19. TableHC2.11.xls

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  20. TableHC2.12.xls

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  1. TableHC2.13.xls

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  2. TableHC2.13.xls

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  3. TableHC2.2.xls

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  4. TableHC2.3.xls

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  5. TableHC2.3.xls

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  6. TableHC2.4.xls

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  7. TableHC2.5.xls

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  8. TableHC2.6.xls

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  9. TableHC2.7.xls

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  10. TableHC2.8.xls

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  11. TableHC2.9.xls

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  12. TableHC3.1.xls

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  13. TableHC3.8.xls

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  14. TableHC4.1.xls

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  15. TableHC4.13.xls

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  16. TableHC4.8.xls

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  17. TableHC5.1.xls

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  18. TableHC5.13.xls

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  19. TableHC5.8.xls

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  20. TableHC6.1.xls

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  1. TableHC6.13.xls

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  2. TableHC6.6.xls

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  3. TableHC6.8.xls

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  4. TableHC7.1.xls

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  5. TableHC7.13.xls

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  6. TableHC7.3.xls

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  7. TableHC7.8.xls

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  8. TableHC8.1.xls

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  9. TableHC8.13.xls

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  10. TableHC8.3.xls

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  11. TableHC8.8.xls

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  12. TableHC9.1.xls

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of 111.1 30.07.1Census

  13. TableHC9.13.xls

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of 111.1 30.07.1Census

  14. TableHC9.3.xls

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of 111.1 30.07.1Census10.9

  15. TableHC9.8.xls

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of 111.1

  16. TABLE53.CHP:Corel VENTURA

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5. NaturalImports of9. NetTable 53.

  17. TABLE54.CHP:Corel VENTURA

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5. NaturalImports of9. NetTable

  18. TABLE55.CHP:Corel VENTURA

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5. NaturalImports of9. NetTableSource:

  19. Microsoft Word - table_C01

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,InformationU.S. Crude Oil3 13,, 19999, 19996,3 Table

  20. FY 2005 Summary Table by Appropriation

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of Energy memoCityTheDepartmentKey9Statistical Table

  1. FY 2007 Summary Table by Appropriation

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganization (dollars in5Statistical Table by5

  2. FY 2007 Summary Table by Organization

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganization (dollars in5Statistical Table by55

  3. FY 2008 Control Table by Appriopriation

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganization (dollarsControl Table by

  4. FY 2008 Control Table by Organization

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganization (dollarsControl Table byControl

  5. CBECS 1992 - Building Characteristics, Detailed Tables

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS98,,,1999,0,0,1e+15,1469,6,01179,"WAT","HY"Tables andA 6 J (MillionCubic35775 84 8711757Detailed

  6. CBECS 1992 - Consumption & Expenditures, Detailed Tables

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS98,,,1999,0,0,1e+15,1469,6,01179,"WAT","HY"Tables andA 6 J (MillionCubic35775 84

  7. Peetz Table Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth'sOklahoma/GeothermalOrange County isParadise, Nevada:PavilionSunPeetz TablePeetz

  8. Precision Flow Table | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County, Maine:Plug Power IncPowder RiverPratt, Kansas:PrebleTable Jump to:

  9. Cloud-Scale Vertical Velocity and Turbulent Dissipation Rate Retrievals

    SciTech Connect (OSTI)

    Shupe, Matthew

    2013-05-22T23:59:59.000Z

    Time-height fields of retrieved in-cloud vertical wind velocity and turbulent dissipation rate, both retrieved primarily from vertically-pointing, Ka-band cloud radar measurements. Files are available for manually-selected, stratiform, mixed-phase cloud cases observed at the North Slope of Alaska (NSA) site during periods covering the Mixed-Phase Arctic Cloud Experiment (MPACE, late September through early November 2004) and the Indirect and Semi-Direct Aerosol Campaign (ISDAC, April-early May 2008). These time periods will be expanded in a future submission.

  10. Cloud-Scale Vertical Velocity and Turbulent Dissipation Rate Retrievals

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

    Shupe, Matthew

    Time-height fields of retrieved in-cloud vertical wind velocity and turbulent dissipation rate, both retrieved primarily from vertically-pointing, Ka-band cloud radar measurements. Files are available for manually-selected, stratiform, mixed-phase cloud cases observed at the North Slope of Alaska (NSA) site during periods covering the Mixed-Phase Arctic Cloud Experiment (MPACE, late September through early November 2004) and the Indirect and Semi-Direct Aerosol Campaign (ISDAC, April-early May 2008). These time periods will be expanded in a future submission.

  11. Evaluating cloud retrieval algorithms with the ARM BBHRP framework

    SciTech Connect (OSTI)

    Mlawer,E.; Dunn,M.; Mlawer, E.; Shippert, T.; Troyan, D.; Johnson, K. L.; Miller, M. A.; Delamere, J.; Turner, D. D.; Jensen, M. P.; Flynn, C.; Shupe, M.; Comstock, J.; Long, C. N.; Clough, S. T.; Sivaraman, C.; Khaiyer, M.; Xie, S.; Rutan, D.; Minnis, P.

    2008-03-10T23:59:59.000Z

    Climate and weather prediction models require accurate calculations of vertical profiles of radiative heating. Although heating rate calculations cannot be directly validated due to the lack of corresponding observations, surface and top-of-atmosphere measurements can indirectly establish the quality of computed heating rates through validation of the calculated irradiances at the atmospheric boundaries. The ARM Broadband Heating Rate Profile (BBHRP) project, a collaboration of all the working groups in the program, was designed with these heating rate validations as a key objective. Given the large dependence of radiative heating rates on cloud properties, a critical component of BBHRP radiative closure analyses has been the evaluation of cloud microphysical retrieval algorithms. This evaluation is an important step in establishing the necessary confidence in the continuous profiles of computed radiative heating rates produced by BBHRP at the ARM Climate Research Facility (ACRF) sites that are needed for modeling studies. This poster details the continued effort to evaluate cloud property retrieval algorithms within the BBHRP framework, a key focus of the project this year. A requirement for the computation of accurate heating rate profiles is a robust cloud microphysical product that captures the occurrence, height, and phase of clouds above each ACRF site. Various approaches to retrieve the microphysical properties of liquid, ice, and mixed-phase clouds have been processed in BBHRP for the ACRF Southern Great Plains (SGP) and the North Slope of Alaska (NSA) sites. These retrieval methods span a range of assumptions concerning the parameterization of cloud location, particle density, size, shape, and involve different measurement sources. We will present the radiative closure results from several different retrieval approaches for the SGP site, including those from Microbase, the current 'reference' retrieval approach in BBHRP. At the NSA, mixed-phase clouds and cloud with a low optical depth are prevalent; the radiative closure studies using Microbase demonstrated significant residuals. As an alternative to Microbase at NSA, the Shupe-Turner cloud property retrieval algorithm, aimed at improving the partitioning of cloud phase and incorporating more constrained, conditional microphysics retrievals, also has been evaluated using the BBHRP data set.

  12. Environmental regulatory update table, July/August 1994

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Salk, M.S.

    1994-09-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  13. Environmental Regulatory Update Table, July--August 1992

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Lewis, E.B.; Salk, M.S.

    1992-09-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  14. Environmental sciences division: Environmental regulatory update table July 1988

    SciTech Connect (OSTI)

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-08-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  15. Environmental regulatory update table, September--October 1992

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Lewis, E.B.; Salk, M.S.

    1992-11-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  16. Environmental Regulatory Update Table, January--February 1993

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1993-03-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  17. Environmental Regulatory Update Table, November--December 1992

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Lewis, E.B.; Salk, M.S.

    1993-01-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly wit information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  18. Environmental Regulatory Update Table, May--June 1994

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Salk, M.S.

    1994-07-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bimonthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  19. Environmental regulatory update table: September/October 1994

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Salk, M.S.

    1994-11-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  20. Environmental Regulatory Update Table, September/October 1993

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1993-11-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operation and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  1. Environmental Regulatory Update Table, January--February 1994

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1994-03-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations ad contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  2. Environmental Regulatory Update Table, November--December 1993

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1994-01-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  3. Environmental Regulatory Update Table, March/April 1992

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1992-05-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  4. SUPERVISOR-STUDENT RELATIONSHIP

    E-Print Network [OSTI]

    Hickman, Mark

    2 SUPERVISOR-STUDENT RELATIONSHIP I am interested in understanding your expectations and perceptions of the supervisor-student relationship, roles, and responsibilities. Below is a list of opposing. The student is responsible for determining the research topic. At the commencement of the research

  5. Table 23. Coal Receipts at Coke Plants by Census Division

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

    Division (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2014 Table 23. Coal Receipts at Coke Plants by Census Division...

  6. Table 21. Domestic Crude Oil First Purchase Prices

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

    Information Administration Petroleum Marketing Annual 1995 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

  7. Table 21. Domestic Crude Oil First Purchase Prices

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

    Information AdministrationPetroleum Marketing Annual 1998 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

  8. Table of Contents About the Weizmann Institute of Science.........................................................................................................1

    E-Print Network [OSTI]

    Maoz, Shahar

    #12;Table of Contents About the Weizmann Institute of Science..........................................................................................................9 Department of Plant Sciences...........................................................................................................40 Department of Earth and Planetary Sciences

  9. About the Weizmann Institute of Science Table of Contents

    E-Print Network [OSTI]

    Maoz, Shahar

    About the Weizmann Institute of Science #12;Table of Contents About the Weizmann Institute of Science.........................................................................................................7 Department of Plant Sciences

  10. About the Weizmann Institute of Science Table of Contents

    E-Print Network [OSTI]

    Maoz, Shahar

    About the Weizmann Institute of Science #12;Table of Contents About the Weizmann Institute of Science..........................................................................................................8 Department of Plant Sciences

  11. Commercial Buildings Energy Consumption Survey 2003 - Detailed Tables

    Reports and Publications (EIA)

    2008-01-01T23:59:59.000Z

    The tables contain information about energy consumption and expenditures in U.S. commercial buildings and information about energy-related characteristics of these buildings.

  12. Table of Contents Alumni Staff and Council Directories

    E-Print Network [OSTI]

    von der Heydt, Rüdiger

    1 Table of Contents Alumni Staff and Council Directories Alumni Relations Staff Directory....................................................................................................................................3 Alumni Council Directory and Staff Directory ................................................................................53 Your

  13. Table 50. Prime Supplier Sales Volumes of Distillate Fuel Oils...

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

    Marketing Annual 1998 359 Table 50. Prime Supplier Sales Volumes of Distillate Fuel Oils and Kerosene by PAD District and State (Thousand Gallons per Day) - Continued...

  14. Table 50. Prime Supplier Sales Volumes of Distillate Fuel Oils...

    Gasoline and Diesel Fuel Update (EIA)

    Marketing Annual 1999 359 Table 50. Prime Supplier Sales Volumes of Distillate Fuel Oils and Kerosene by PAD District and State (Thousand Gallons per Day) - Continued...

  15. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

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

    250 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons...

  16. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 1998 Table 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  17. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    - - - - W W - - - - - - See footnotes at end of table. 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State 292 Energy...

  18. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

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

    220 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  19. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 1998 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and Selected States (Cents per...

  20. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

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

    Petroleum Marketing Annual 1995 Table 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) -...

  1. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration Petroleum Marketing Annual 1995 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  2. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

    Gasoline and Diesel Fuel Update (EIA)

    220 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  3. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

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

    Energy Information Administration Petroleum Marketing Annual 1995 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  4. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

    Gasoline and Diesel Fuel Update (EIA)

    134 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  5. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

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

    Petroleum Marketing Annual 1998 Table 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) -...

  6. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    - - - - W W - - - - - - See footnotes at end of table. 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 86 Energy Information...

  7. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

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

    Information Administration Petroleum Marketing Annual 1995 Table 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  8. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

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

    Petroleum Marketing Annual 1999 Table 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) -...

  9. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

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

    - - - - 64.7 64.7 - - - - - - See footnotes at end of table. 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 86 Energy Information...

  10. Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type...

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

    - - - - - - - - - - - - See footnotes at end of table. 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 116 Energy Information...

  11. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

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

    Energy Information Administration Petroleum Marketing Annual 1995 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  12. Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type...

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration Petroleum Marketing Annual 1995 Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  13. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

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

    250 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons...

  14. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 1999 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and Selected States (Cents per...

  15. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    Energy Information Administration Petroleum Marketing Annual 1995 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons...

  16. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

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

    134 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  17. EIA - Annual Energy Outlook (AEO) 2013 Data Tables

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

    Interactive Table Viewer Topics Source OilLiquids Natural Gas Coal Electricity RenewableAlternative Nuclear Sector Residential Commercial Industrial Transportation Energy Demand...

  18. EIA - Annual Energy Outlook (AEO) 2011 Data Tables

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

    Interactive Table Viewer Topics Source OilLiquids Natural Gas Coal Electricity RenewableAlternative Nuclear Sector Residential Commercial Industrial Transportation Energy Demand...

  19. EIA - Annual Energy Outlook (AEO) 2012 Data Tables

    Gasoline and Diesel Fuel Update (EIA)

    Interactive Table Viewer Topics Source OilLiquids Natural Gas Coal Electricity RenewableAlternative Nuclear Sector Residential Commercial Industrial Transportation Energy Demand...

  20. Table of contents 1 What is software architecture? ......................................................................... 1

    E-Print Network [OSTI]

    Dustdar, Schahram

    Table of contents 1 What is software architecture? ......................................................................... 1 1.1 Software architecture as abstraction ............................................................ 2 1.2 Software architecture as blueprint

  1. Petroleum Products Table 31. Motor Gasoline Prices by Grade...

    Gasoline and Diesel Fuel Update (EIA)

    by Grade, Sales Type, PAD District, and State 56 Energy Information Administration Petroleum Marketing Annual 1996 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD...

  2. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

    Gasoline and Diesel Fuel Update (EIA)

    by Grade, Sales Type, PAD District, and State 262 Energy Information Administration Petroleum Marketing Annual 1996 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type,...

  3. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

    Gasoline and Diesel Fuel Update (EIA)

    by Grade, Sales Type, PAD District, and State 262 Energy Information Administration Petroleum Marketing Annual 1997 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type,...

  4. Table of Contents Central Colorado's Severe Downslope Windstorms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

    E-Print Network [OSTI]

    #12;Table of Contents Central Colorado's Severe Downslope Windstorms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Colorado Climate in Review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 National Weather Service Length of Service Awards for Western Colorado

  5. Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...

    Gasoline and Diesel Fuel Update (EIA)

    See footnotes at end of table. 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State 386 Energy Information...

  6. Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...

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

    Marketing Annual 1999 Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State (Thousand Gallons per Day) -...

  7. Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...

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

    Marketing Annual 1998 Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State (Thousand Gallons per Day) -...

  8. Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...

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

    Marketing Annual 1995 Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State (Thousand Gallons per Day) -...

  9. Tanks Focus Area retrieval process development and enhancements FY96 technology development summary report

    SciTech Connect (OSTI)

    Rinker, M.W.; Bamberger, J.A.; Hatchell, B.K. [and others

    1996-09-01T23:59:59.000Z

    The Retrieval Process Development and Enhancements (RPD&E) activities are part of the Retrieval and Closure Program of the U.S. Department of Energy (DOE) EM-50 Tanks Focus Area. The purposes of RPD&E are to understand retrieval processes, including emerging and existing technologies, and to gather data on those processes, so that end users have the requisite technical basis to make retrieval decisions. Work has been initiated to support the need for multiple retrieval technologies across the DOE complex. Technologies addressed during FY96 focused on enhancements to sluicing, borehole mining, confined sluicing retrieval end effectors, the lightweight scarifier, and pulsed air mixing. Furthermore, a decision tool and database have been initiated to link retrieval processes with tank closure to assist end users in making retrieval decisions.

  10. A Patent System Ontology for Facilitating Retrieval of Patent Related Information

    E-Print Network [OSTI]

    Stanford University

    A Patent System Ontology for Facilitating Retrieval of Patent Related Information Siddharth Taduri and consists of laws, regulations, patents, court litigations, scientific publications, and more. Although framework to facilitate retrieval of patents and related information across multiple diverse

  11. IEEE TRANSACTIONS ON MULTIMEDIA 1 Scalable Face Image Retrieval using

    E-Print Network [OSTI]

    Hsu, Winston H.

    the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two University (e-mail: sirius42@cmlab.csie.ntu.edu.tw). Y.-Y. Chen is with the Department of Computer Science and Information Engineering, National Taiwan University (e-mail: yanying@cmlab.csie.ntu.edu.tw). Y.-H. Kuo

  12. TECHNOLOGY SUMMARY ADVANCING TANK WASTE RETRIEVAL AND PROCESSING

    SciTech Connect (OSTI)

    SAMS TL; MENDOZA RE

    2010-08-11T23:59:59.000Z

    This technology overview provides a high-level summary of technologies being investigated and developed by Washington River Protection Solutions (WRPS) to advance Hanford Site tank waste retrieval and processing. Technology solutions are outlined, along with processes and priorities for selecting and developing them.

  13. CRAD, Maintenance- Idaho Accelerated Retrieval Project Phase II

    Broader source: Energy.gov [DOE]

    A section of Appendix C to DOE G 226.1-2 "Federal Line Management Oversight of Department of Energy Nuclear Facilities." Consists of Criteria Review and Approach Documents (CRADs) used for a February 2006 Commencement of Operations assessment of the Maintenance program at the Idaho Accelerated Retrieval Project Phase II.

  14. CRAD, Criticality Safety- Idaho Accelerated Retrieval Project Phase II

    Broader source: Energy.gov [DOE]

    A section of Appendix C to DOE G 226.1-2 "Federal Line Management Oversight of Department of Energy Nuclear Facilities." Consists of Criteria Review and Approach Documents (CRADs) used for a February 2006 Commencement of Operations assessment of the Criticality Safety program at the Idaho Accelerated Retrieval Project Phase II.

  15. Intelligent Mobile Agents for Information Retrieval and Knowledge Discovery from

    E-Print Network [OSTI]

    Honavar, Vasant

    or software agents for intelligent, selective, and context­sensitive data gathering and data assimilation assimilation, and knowl­ edge discovery using heterogeneous, distributed data and knowledge sources. (See [1Intelligent Mobile Agents for Information Retrieval and Knowledge Discovery from Distributed Data

  16. CRAD, Conduct of Operations- Idaho Accelerated Retrieval Project Phase II

    Broader source: Energy.gov [DOE]

    A section of Appendix C to DOE G 226.1-2 "Federal Line Management Oversight of Department of Energy Nuclear Facilities." Consists of Criteria Review and Approach Documents (CRADs) used for a February, 2006 Commencement of Operations assessment of the Conduct of Operations program at the Idaho Accelerated Retrieval Project Phase II.

  17. Cloud Condensation Nuclei Retrievals at Cloud Base in North Dakota

    E-Print Network [OSTI]

    Delene, David J.

    Cloud Condensation Nuclei Retrievals at Cloud Base in North Dakota · Mariusz Starzec #12;Motivation Compare University of Wyoming (UWyo) and Droplet Measurement Technologies (DMT) cloud condensation nuclei condensation nuclei concentration (CCNC) at any supersaturation (SS) #12;Background Aerosols act as nuclei

  18. CRAD, Training- Idaho Accelerated Retrieval Project Phase II

    Broader source: Energy.gov [DOE]

    A section of Appendix C to DOE G 226.1-2 "Federal Line Management Oversight of Department of Energy Nuclear Facilities." Consists of Criteria Review and Approach Documents (CRADs) used for a February 2006 Commencement of Operations assessment of the Training Program at the Idaho Accelerated Retrieval Project Phase II.

  19. CRAD, Fire Protection- Idaho Accelerated Retrieval Project Phase II

    Broader source: Energy.gov [DOE]

    A section of Appendix C to DOE G 226.1-2 "Federal Line Management Oversight of Department of Energy Nuclear Facilities." Consists of Criteria Review and Approach Documents (CRADs) used for a February 2006 Commencement of Operations assessment of the Fire Protection program at the Idaho Accelerated Retrieval Project Phase II.

  20. Initial ACTR retrieval technology evaluation test material recommendations

    SciTech Connect (OSTI)

    Powell, M.R.

    1996-04-01T23:59:59.000Z

    Millions of gallons of radiaoctive waste are contained in underground storage tanks at Hanford (SE Washington). Techniques for retrieving much of this waste from the storage tanks have been developed. Current baseline approach is to use sluice jets for single-shell tanks and mixer pumps for double-shell tanks. The Acquire Commercial Technology for Retrieval (ACTR) effort was initiated to identify potential improvements in or alternatives to the baseline waste retrieval methods. Communications with a variety of vendors are underway to identify improved methods that can be implemented at Hanford with little or no additional development. Commercially available retrieval methods will be evaluated by a combination of testing and system-level cost estimation. Current progress toward developing waste simulants for testing ACTR candidate methods is reported; the simulants are designed to model 4 different types of tank waste. Simulant recipes are given for wet sludge, hardpan/dried sludge,hard saltcake, and soft saltcake. Comparisons of the waste and simulant properties are documented in this report.

  1. Retrieval of cloud properties using SCIAMACHY on ENVISAT

    E-Print Network [OSTI]

    Kuligowski, Bob

    ;2 AGENDA 1. Rationale 2. SCIAMACHY and its calibration 3. Algorithms 4. SCIMACHY cloud retrievals 5 Synthetic Aperture Radar (ASAR), operating at C-band, ASAR ensures continuity with the image mode (SAR;13 VICARIOUS CALIBRATION USING MERIS #12;14 MERIS on ENVISAT spacecraft /1.03.2002-present/ · Instrument bands

  2. Optimally Robust Private Information Retrieval Casey Devet Ian Goldberg

    E-Print Network [OSTI]

    of the database. 1 Introduction and related work Private information retrieval (PIR) is a way for a client to look trivial download. The goal of PIR is to transmit less data while still protecting the privacy of the query. PIR is a fundamental building block for many proposed privacy-sensitive applications in the liter

  3. Improving the Robustness of Private Information Retrieval Ian Goldberg

    E-Print Network [OSTI]

    Goldberg, Ian

    @cs.uwaterloo.ca Abstract Since 1995, much work has been done creating proto- cols for private information retrieval (PIR). Many variants of the basic PIR model have been proposed, including such modifications as computational. In this paper, we improve on the robustness of PIR in a number of ways. First, we present a Byzantine-robust PIR

  4. Efficient Private File Retrieval by Combining ORAM and PIR

    E-Print Network [OSTI]

    Efficient Private File Retrieval by Combining ORAM and PIR Travis Mayberry Erik-Oliver Blass Agnes ORAMs which have worst-case communication complexity linear in their capacity and block size. PIR on the server. This paper presents Path-PIR, a hybrid ORAM construction, using techniques from PIR

  5. Single Database Private Information Retrieval with Logarithmic Communication

    E-Print Network [OSTI]

    ]. Historically, the first 1dPIR scheme was proposed in [KO97], with its security based on the hardness database private information retrieval (1dPIR) is a cryptographic protocol between a database server, who (as otherwise the problem becomes trivial). In addition to its numerous applications [A01], 1dPIR

  6. Optimally Robust Private Information Retrieval Casey Devet Ian Goldberg

    E-Print Network [OSTI]

    Goldberg, Ian

    - sponding to the security guarantees they provide. One class is computational PIR [8], in which the database of the database. 1 Introduction and related work Private information retrieval (PIR) is a way for a client to look trivial download. The goal of PIR is to transmit less data while still protecting the privacy of the query

  7. Single Database Private Information Retrieval Implies Oblivious Transfer \\Lambda

    E-Print Network [OSTI]

    Ostrovsky, Rafail

    non­trivial PIR is complete for all two­party and multi­party secure compu­ tations. ffl There exists Crescenzo y Tal Malkin z Rafail Ostrovsky x Abstract A Single­Database Private Information Retrieval (PIR­ munication complexity. We call a PIR protocol non­trivial if its total communication is strictly less than

  8. Single Database Private Information Retrieval Implies Oblivious Transfer

    E-Print Network [OSTI]

    Ostrovsky, Rafail

    Tal Malkinz Rafail Ostrovskyx Abstract A Single-Database Private Information Retrieval PIR- munication complexity. We call a PIR protocol non-trivial if its total communication is strictly less than the size of the database. Non-trivial PIR is an important cryp- tographic primitive with many applications

  9. PIR-Tor: Scalable Anonymous Communication Using Private Information Retrieval

    E-Print Network [OSTI]

    Goldberg, Ian

    architec- ture depends on the security of PIR schemes which are well understood and relatively easy security to that of the Tor net- work. Moreover, our experimental results show that the overhead of PIRPIR-Tor: Scalable Anonymous Communication Using Private Information Retrieval Prateek Mittal1 Femi

  10. Single Database Private Information Retrieval with Logarithmic Communication

    E-Print Network [OSTI]

    ]. Historically, the first 1dPIR scheme was proposed in [KO97], with its security based on the hardness Single database private information retrieval (1dPIR) is a cryptographic protocol between a database to the user (as otherwise the problem becomes trivial). In addition to its numerous applications [A01], 1dPIR

  11. CRAD, Radiological Controls- Idaho Accelerated Retrieval Project Phase II

    Broader source: Energy.gov [DOE]

    A section of Appendix C to DOE G 226.1-2 "Federal Line Management Oversight of Department of Energy Nuclear Facilities." Consists of Criteria Review and Approach Documents (CRADs) used for a February 2006 Commencement of Operations assessment of the Radiation Protection Program at the Idaho Accelerated Retrieval Project Phase II.

  12. Using Information Extraction to Improve Cross-lingual Document Retrieval

    E-Print Network [OSTI]

    , Document Retrieval 1. Introduction A shrinking fraction of the world's Web pages are written in English of this optimization. Specifically, we conducted this study in the context of the "distillation evaluation" of the GALE.S. Government's DARPA GALE program. One of the GALE evaluations (the distillation task) involves responding

  13. Resources Annotation, Retrieval and Presentation: a Semantic Annotation Management System

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Resources Annotation, Retrieval and Presentation: a Semantic Annotation Management System M. Albert@univ-brest.fr ABSTRACT This paper addresses the problem of the management of resources metadata. A variety of responses resources that enable more intelligent information discovery systems [1]. According to [1], a metadata

  14. CLUSTERED MULTIDIMENSIONAL SCALING FOR EXPLORATION IN INFORMATION RETRIEVAL

    E-Print Network [OSTI]

    Genève, Université de

    and even hardly improve the exploration process of datasets assumed to be composed of multiple distinctCLUSTERED MULTIDIMENSIONAL SCALING FOR EXPLORATION IN INFORMATION RETRIEVAL Eniko Sz´ekely, ´Eric: clustering, nearest neighbour, multidimensional scaling, exploration. Abstract: The data that needs

  15. CRAD, Emergency Management- Idaho Accelerated Retrieval Project Phase II

    Broader source: Energy.gov [DOE]

    A section of Appendix C to DOE G 226.1-2 "Federal Line Management Oversight of Department of Energy Nuclear Facilities." Consists of Criteria Review and Approach Documents (CRADs) used for a February 2006 Commencement of Operations assessment of the Emergency Management program at the Idaho Accelerated Retrieval Project Phase II.

  16. CRAD, Occupational Safety & Health- Idaho Accelerated Retrieval Project Phase II

    Broader source: Energy.gov [DOE]

    A section of Appendix C to DOE G 226.1-2 "Federal Line Management Oversight of Department of Energy Nuclear Facilities." Consists of Criteria Review and Approach Documents (CRADs) used for a February 2006 Commencement of Operations assessment of the Occupational Safety and Industrial Hygiene Program at the Idaho Accelerated Retrieval Project Phase II.

  17. Audio-Visual Multimedia Retrieval on Mobile Iftikhar Ahmad1

    E-Print Network [OSTI]

    Gabbouj, Moncef

    of devices (hand held phones to personal computers). Mobile devices are not only limited in size, shape devices is a challenge. 8.1 Introduction The amount of personal digital information is increasing8 Audio-Visual Multimedia Retrieval on Mobile Devices Iftikhar Ahmad1 and Moncef Gabbouj2 1 Nokia

  18. CRAD, Quality Assurance- Idaho Accelerated Retrieval Project Phase II

    Broader source: Energy.gov [DOE]

    A section of Appendix C to DOE G 226.1-2 "Federal Line Management Oversight of Department of Energy Nuclear Facilities." Consists of Criteria Review and Approach Documents (CRADs) used for a February 2006 Commencement of Operations assessment of the Quality Assurance Program at the Idaho Accelerated Retrieval Project Phase II.

  19. Project W-211, initial tank retrieval systems, retrieval control system software configuration management plan

    SciTech Connect (OSTI)

    RIECK, C.A.

    1999-02-23T23:59:59.000Z

    This Software Configuration Management Plan (SCMP) provides the instructions for change control of the W-211 Project, Retrieval Control System (RCS) software after initial approval/release but prior to the transfer of custody to the waste tank operations contractor. This plan applies to the W-211 system software developed by the project, consisting of the computer human-machine interface (HMI) and programmable logic controller (PLC) software source and executable code, for production use by the waste tank operations contractor. The plan encompasses that portion of the W-211 RCS software represented on project-specific AUTOCAD drawings that are released as part of the C1 definitive design package (these drawings are identified on the drawing list associated with each C-1 package), and the associated software code. Implementation of the plan is required for formal acceptance testing and production release. The software configuration management plan does not apply to reports and data generated by the software except where specifically identified. Control of information produced by the software once it has been transferred for operation is the responsibility of the receiving organization.

  20. Multimodal medical case retrieval using the Dezert-Smarandache theory Quellec Gw nol 1 2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    history). Indeed, medical experts generally need varied sources of information, which might be incomplete on a classified diabetic retinopathy database. On this database, results are promising: the retrieval precision the retrieval of relevant cases in a case database. The retrieved cases are then used to help interpreting

  1. An Evaluation of Text Retrieval Methods for Similarity Search of multi-dimensional

    E-Print Network [OSTI]

    Hinneburg, Alexander

    ,1,11,6,2], to the best of our knowledge, no effective similarity search method is known for 2D-NMR-spectra. SimplifiedAn Evaluation of Text Retrieval Methods for Similarity Search of multi-dimensional NMR retrieval method can be applied. We evaluate the performance of two retrieval methods, namely the standard

  2. THE THIRD CLOUD RETRIEVAL EVALUATION WORKSHOP What: A joint European/United States workshop

    E-Print Network [OSTI]

    Baum, Bryan A.

    THE THIRD CLOUD RETRIEVAL EVALUATION WORKSHOP What: A joint European/United States workshop louds strongly modulate the energy balance of Earth and its atmosphere through their interaction- based cloud retrieval teams to share their experience with state-of-the-art cloud parameter retrievals

  3. Process Description for the Retrieval of Earth Covered Transuranic (TRU) Waste Containers at the Hanford Site

    SciTech Connect (OSTI)

    DEROSA, D.C.

    2000-01-13T23:59:59.000Z

    This document describes process and operational options for retrieval of the contact-handled suspect transuranic waste drums currently stored below grade in earth-covered trenches at the Hanford Site. Retrieval processes and options discussed include excavation, container retrieval, venting, non-destructive assay, criticality avoidance, incidental waste handling, site preparation, equipment, and shipping.

  4. An Investigation of the Latent Semantic Analysis Technique for Document Retrieval

    E-Print Network [OSTI]

    An Investigation of the Latent Semantic Analysis Technique for Document Retrieval STUDENT PROJECT;_________________________________________________________________________ An Investigation of the Latent Semantic Analysis Technique for Document Retrieval. Report by: David Mugo Page 2. These term-matching techniques have always relied on matching query terms with document terms to retrieve

  5. Extended Combinatorial Constructions for Peer-to-peer User-Private Information Retrieval

    E-Print Network [OSTI]

    retrieval (PIR) introduced by Domingo-Ferrer et al. In UPIR, the database knows which records have been information retrieval (PIR). In PIR, the content of a given query is hidden from the database alternative to PIR dubbed user-private information retrieval (UPIR), introduced by Domingo-Ferrer et al. [3

  6. fMRI Brain Image Retrieval Based on ICA Components bbai@cs.rutgers.edu

    E-Print Network [OSTI]

    fMRI Brain Image Retrieval Based on ICA Components Bing Bai bbai@cs.rutgers.edu Department This manuscript proposes a retrieval system for fMRI brain images. Our goal is to find a similarity- metric to enable us to support queries for "similar tasks" for retrieval on a large collection of brain ex

  7. A reconstruction of the tables of the Shuli Jingyun

    E-Print Network [OSTI]

    Boyer, Edmond

    1722) and covering almost all mathematical knowledge known in China at that time. It was part of a larger collection movable copper type [23, p. 76], but the tables were certainly printed with xylography.2 The Shuli Jingyun was imported in other countries, such as 1 We have consulted the original tables at the Institut des Hautes

  8. California's Water Energy Relationship

    E-Print Network [OSTI]

    .........................................................................................................................7 THE ENERGY INTENSITY OF THE WATER USE CYCLE.........................................................................................9 ENERGY INTENSITY IN NORTHERN AND SOUTHERN CALIFORNIA1 CALIFORNIA ENERGY COMMISSION California's Water ­ Energy Relationship Prepared in Support

  9. Attachment informed relationship education: An integrated approach to relationship education.

    E-Print Network [OSTI]

    Perez, Jessica

    2015-01-01T23:59:59.000Z

    ??ABSTRACT ATTACHMENT INFORMED RELATIONSHIP EDUCATION: AN INTEGRATED APPROACH TO RELATIONSHIP EDUCATION By Jessica A. Perez Master of Science in Counseling, Marriage and Family Therapy This (more)

  10. Toward understanding of differences in current cloud retrievals of ARM ground-based measurements

    SciTech Connect (OSTI)

    Zhao C.; Dunn M.; Xie, S.; Klein, S. A.; Protat, A.; Shupe, M. D.; McFarlane, S. A.; Comstock, J. M.; Delano, J.; Deng, M.; Hogan, R. J.; Huang, D.; Jensen, M. P.; Mace, G. G.; McCoy, R.; OConnor, E. J.; Turner, D. D.; Wang, Z.

    2012-05-30T23:59:59.000Z

    Accurate observations of cloud microphysical properties are needed for evaluating and improving the representation of cloud processes in climate models and better estimate of the Earth radiative budget. However, large differences are found in current cloud products retrieved from ground-based remote sensing measurements using various retrieval algorithms. Understanding the differences is an important step to address uncertainties in the cloud retrievals. In this study, an in-depth analysis of nine existing ground-based cloud retrievals using ARM remote sensing measurements is carried out. We place emphasis on boundary layer overcast clouds and high level ice clouds, which are the focus of many current retrieval development efforts due to their radiative importance and relatively simple structure. Large systematic discrepancies in cloud microphysical properties are found in these two types of clouds among the nine cloud retrieval products, particularly for the cloud liquid and ice particle effective radius. Note that the differences among some retrieval products are even larger than the prescribed uncertainties reported by the retrieval algorithm developers. It is shown that most of these large differences have their roots in the retrieval theoretical bases, assumptions, as well as input and constraint parameters. This study suggests the need to further validate current retrieval theories and assumptions and even the development of new retrieval algorithms with more observations under different cloud regimes.

  11. EM-50 Tanks Focus Area retrieval process development and enhancements. FY97 technology development summary report

    SciTech Connect (OSTI)

    Rinker, M.W.; Bamberger, J.A. [Pacific Northwest National Lab., Richland, WA (United States); Alberts, D.G. [Waterjet Technology, Inc., Kent, WA (United States)] [and others

    1997-09-01T23:59:59.000Z

    The Retrieval Process Development and Enhancements (RPD and E) activities are part of the US Department of Energy (DOE) EM-50 Tanks Focus Area, Retrieval and Closure program. The purpose of RPD and E is to understand retrieval processes, including emerging and existing technologies, and to gather data on these processes, so that end users have requisite technical bases to make retrieval decisions. Technologies addressed during FY97 include enhancements to sluicing, the use of pulsed air to assist mixing, mixer pumps, innovative mixing techniques, confined sluicing retrieval end effectors, borehole mining, light weight scarification, and testing of Russian-developed retrieval equipment. Furthermore, the Retrieval Analysis Tool was initiated to link retrieval processes with tank waste farms and tank geometric to assist end users by providing a consolidation of data and technical information that can be easily assessed. The main technical accomplishments are summarized under the following headings: Oak Ridge site-gunite and associated tanks treatability study; pulsed air mixing; Oak Ridge site-Old Hydrofracture Facility; hydraulic testbed relocation; cooling coil cleaning end effector; light weight scarifier; innovative tank mixing; advanced design mixer pump; enhanced sluicing; Russian retrieval equipment testing; retrieval data analysis and correlation; simulant development; and retrieval analysis tool (RAT).

  12. Secure quantum private information retrieval using phase-encoded queries

    E-Print Network [OSTI]

    Olejnik, L

    2011-01-01T23:59:59.000Z

    We propose a quantum solution to the classical private information retrieval (PIR) problem, which allows one to query a database in a private manner. The protocol offers privacy thresholds and allows the user to obtain information from a database in a way that offers the potential adversary, in this model the database owner, no possibility of deterministically establishing the query contents. This protocol may also be viewed as a solution to the symmetrically private information retrieval problem in that it can offer database security (inability for a querying user to steal its contents). Compared to classical solutions, the protocol offers substantial improvement in terms of communication complexity. In comparison with the recent quantum private queries {[}Phys. Rev. Lett. 100, 230502 (2008)] protocol, it is more efficient in terms of communication complexity and the number of rounds, while offering a clear privacy parameter. We discuss the security of the protocol and analyze its strengths and conclude that...

  13. Recommendations on the proposed Monitored Retrievable Storage Facility

    SciTech Connect (OSTI)

    Not Available

    1985-10-01T23:59:59.000Z

    Following the Department of Energy's announcement in April 1985 that three Tennessee sites were to be considered for the Monitored Retrievable Storage facility, Governor Lamar Alexander initiated a review of the proposal to be coordinated by his Safe Growth Team. Roane County and the City of Oak Ridge, the local governments sharing jurisdiction over DOE's primary and secondary sites, were invited to participate in the state's review of the MRS proposal. Many issues related to the proposed MRS are being considered by the Governor's Safe Growth Team. The primary objective of the Clinch River MRS Task Force has been to determine whether the proposed Monitored Retrievable Storage facility should be accepted by the local governments, and if so, under what conditions. The Clinch River MRS Task Force is organized into an Executive Committee cochaired by the Roane County Executive and Mayor of Oak Ridge and three Study Groups focusing on environmental (including health and safety), socioeconomic, and transportation issues.

  14. Retrieval process development and enhancements waste simulant compositions and defensibility

    SciTech Connect (OSTI)

    Powell, M.R.; Golcar, G.R.; Geeting, J.G.H.

    1997-09-01T23:59:59.000Z

    The purpose of this report is to document the physical waste simulant development efforts of the EM-50 Tanks Focus Area at the Hanford Site. Waste simulants are used in the testing and development of waste treatment and handling processes because performing such tests using actual tank waste is hazardous and prohibitively expensive. This document addresses the simulant development work that supports the testing of waste retrieval processes using simulants that mimic certain key physical properties of the tank waste. Development and testing of chemical simulants are described elsewhere. This work was funded through the EM-50 Tanks Focus Area as part of the Retrieval Process Development and Enhancements (RPD&E) Project at the Pacific Northwest National Laboratory (PNNL). The mission of RPD&E is to understand retrieval processes, including emerging and existing processes, gather performance data on those processes, and relate the data to specific tank problems to provide end users with the requisite technical bases to make retrieval and closure decisions. Physical simulants are prepared using relatively nonhazardous and inexpensive materials rather than the chemicals known to be in tank waste. Consequently, only some of the waste properties are matched by the simulant. Deciding which properties need to be matched and which do not requires a detailed knowledge of the physics of the process to be tested using the simulant. Developing this knowledge requires reviews of available literature, consultation with experts, and parametric tests. Once the relevant properties are identified, waste characterization data are reviewed to establish the target ranges for each property. Simulants are then developed that possess the desired ranges of properties.

  15. System to control contamination during retrieval of buried TRU waste

    DOE Patents [OSTI]

    Menkhaus, Daniel E. (Idaho Falls, ID); Loomis, Guy G. (Idaho Falls, ID); Mullen, Carlan K. (Idaho Falls, ID); Scott, Donald W. (Idaho Falls, ID); Feldman, Edgar M. (Idaho Falls, ID); Meyer, Leroy C. (Idaho Falls, ID)

    1993-01-01T23:59:59.000Z

    A system to control contamination during the retrieval of hazardous waste comprising an outer containment building, an inner containment building, within the outer containment building, an electrostatic radioactive particle recovery unit connected to and in communication with the inner and outer containment buildings, and a contaminate suppression system including a moisture control subsystem, and a rapid monitoring system having the ability to monitor conditions in the inner and outer containment buildings.

  16. System to control contamination during retrieval of buried TRU waste

    DOE Patents [OSTI]

    Menkhaus, D.E.; Loomis, G.G.; Mullen, C.K.; Scott, D.W.; Feldman, E.M.; Meyer, L.C.

    1993-04-20T23:59:59.000Z

    A system is described to control contamination during the retrieval of hazardous waste comprising an outer containment building, an inner containment building, within the outer containment building, an electrostatic radioactive particle recovery unit connected to and in communication with the inner and outer containment buildings, and a contaminate suppression system including a moisture control subsystem, and a rapid monitoring system having the ability to monitor conditions in the inner and outer containment buildings.

  17. Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...

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

    table. 56 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  18. Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...

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

    table. 56 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  19. Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...

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

    table. 56 Energy Information Administration Petroleum Marketing Annual 1995 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  20. "Table HC8.12 Home Electronics Usage Indicators by Urban/Rural...

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

    Energy Consumption Survey. " " Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables" "Table HC8.12 Home...

  1. "Table HC8.10 Home Appliances Usage Indicators by Urban/Rural...

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

    Energy Consumption Survey. " " Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables" "Table HC8.10 Home...

  2. Composite slip table of dissimilar materials for damping longitudinal modes

    DOE Patents [OSTI]

    Gregory, D.L.; Priddy, T.G.; Smallwood, D.O.; Woodall, T.D.

    1991-06-18T23:59:59.000Z

    A vibration slip table for use in a vibration testing apparatus is disclosed. The tables comprised of at least three composite layers of material; a first metal layer, a second damping layer, and a third layer having a high acoustic velocity relative to the first layer. The different acoustic velocities between the first and third layers cause relative shear displacements between the layers with the second layer damping the displacements between the first and third layers to reduce the table longitudinal vibration modes. 6 figures.

  3. New probability table treatment in MCNP for unresolved resonances

    SciTech Connect (OSTI)

    Carter, L.L. [Carter M.C. Analysis, Richland, WA (United States); Little, R.C.; Hendricks, J.S.; MacFarlane, R.E. [Los Alamos National Lab., NM (United States)

    1998-04-01T23:59:59.000Z

    An upgrade for MCNP has been implemented to sample the neutron cross sections in the unresolved resonance range using probability tables. These probability tables are generated with the cross section processor code NJOY, by using the evaluated statistical information about the resonances to calculate cumulative probability distribution functions for the microscopic total cross section. The elastic, fission, and radiative capture cross sections are also tabulated as the average values of each of these partials conditional upon the value of the total. This paper summarizes how the probability tables are utilized in this MCNP upgrade and compares this treatment with the approximate smooth treatment for some example problems.

  4. Alternate retrieval technology demonstrations program - test report (ARD Environmental, Inc.)

    SciTech Connect (OSTI)

    Berglin, E.J.

    1997-07-31T23:59:59.000Z

    A prototype vehicle, control system, and waste and water scavenging system were designed and fabricated with essentially the full capabilities of the vehicle system proposed by ARD Environmental. A test tank mockup, including riser and decontamination chamber were designed and fabricated, and approximately 830 cubic feet of six varieties of waste simulants poured. The tests were performed by ARD Environmental personnel at its site in Laurel, Maryland, from 4/22/97 through 5/2/97. The capabilities tested were deployment and retrieval, extended mobility and productivity, the ability to operate the system using video viewing only, retrieval after simulated failure, and retrieval and decontamination. Testing commenced with deployment of the vehicle into the tank. Deployment was accomplished using a crane and auxiliary winch to position the vehicle and lower it through the decontamination chamber, into the 36`` diameter x 6` high riser, and touch down on the waste field in the tank. The initial mobility tests were conducted immediately after deployment, prior to sluicing, as the waste field exhibited the greatest amount of variation at this time. This test demonstrated the ability of the vehicle to maneuver over the simulated waste field, and the ability of the operator to work with only video viewing available. In addition, the ability of the vehicle to right itself after being turned on its side was demonstrated. The production rate was evaluated daily through the testing period by measuring the surface and estimating the amount of material removed. The test demonstrated the ability of the vehicle to reduce the waste surface using 400 psi (nominal) water jets, scavenge water and material from the work area, and move to any location, even in the relatively confined space of the 20` diameter test tank. In addition, the ability to sluice to a remote scavenging module was demonstrated. The failure mode test demonstrated the ability to retrieve a stuck vehicle by pulling on the tether, even if the vehicle wheels were locked or the vehicle was on its side. Line pull required to retrieve the vehicle was measured, and side load on the riser calculated from the line pull and line angles. Finally, the decontamination test demonstrated the ability to effectively clean the umbilical and vehicle. The issues addressed and resolved during the testing were: Feasibility of deploying a vehicle- based system, mobility, production rate and limitation of water in the tank during sluicing, mining strategy, operator efficiency, vehicle recovery, and decontamination. Water usage and waste removal rates were used to estimate the time and water usage requirements for cleaning a Hanford SST.

  5. Robustness of phase retrieval methods in x-ray phase contrast imaging: A comparison

    SciTech Connect (OSTI)

    Yan, Aimin; Wu, Xizeng; Liu, Hong [Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama 35233 (United States); Center for Bioengineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman, Oklahoma 73019 (United States)

    2011-09-15T23:59:59.000Z

    Purpose: The robustness of the phase retrieval methods is of critical importance for limiting and reducing radiation doses involved in x-ray phase contrast imaging. This work is to compare the robustness of two phase retrieval methods by analyzing the phase maps retrieved from the experimental images of a phantom. Methods: Two phase retrieval methods were compared. One method is based on the transport of intensity equation (TIE) for phase contrast projections, and the TIE-based method is the most commonly used method for phase retrieval in the literature. The other is the recently developed attenuation-partition based (AP-based) phase retrieval method. The authors applied these two methods to experimental projection images of an air-bubble wrap phantom for retrieving the phase map of the bubble wrap. The retrieved phase maps obtained by using the two methods are compared. Results: In the wrap's phase map retrieved by using the TIE-based method, no bubble is recognizable, hence, this method failed completely for phase retrieval from these bubble wrap images. Even with the help of the Tikhonov regularization, the bubbles are still hardly visible and buried in the cluttered background in the retrieved phase map. The retrieved phase values with this method are grossly erroneous. In contrast, in the wrap's phase map retrieved by using the AP-based method, the bubbles are clearly recovered. The retrieved phase values with the AP-based method are reasonably close to the estimate based on the thickness-based measurement. The authors traced these stark performance differences of the two methods to their different techniques employed to deal with the singularity problem involved in the phase retrievals. Conclusions: This comparison shows that the conventional TIE-based phase retrieval method, regardless if Tikhonov regularization is used or not, is unstable against the noise in the wrap's projection images, while the AP-based phase retrieval method is shown in these experiments to be superior to the TIE-based method for the robustness in performing the phase retrieval.

  6. Toward Understanding of Differences in Current Cloud Retrievals of ARM Ground-based Measurements

    SciTech Connect (OSTI)

    Zhao, Chuanfeng; Xie, Shaocheng; Klein, Stephen A.; Protat, Alain; Shupe, Matthew D.; McFarlane, Sally A.; Comstock, Jennifer M.; Delanoe, Julien; Deng, Min; Dunn, Maureen; Hogan, Robin; Huang, Dong; Jensen, Michael; Mace, Gerald G.; McCoy, Renata; O'Conner, Ewan J.; Turner, Dave; Wang, Zhien

    2012-05-30T23:59:59.000Z

    Accurate observations of cloud microphysical properties are needed for evaluating and improving the representation of cloud processes in climate models. However, large differences are found in current cloud products retrieved from ground-based remote sensing measurements using various retrieval algorithms. Understanding the differences is an important step to address uncertainties in the cloud retrievals. In this study, an in-depth analysis of nine existing ground-based cloud retrievals using ARM remote sensing measurements is carried out. We place emphasize on boundary layer overcast clouds and high level ice clouds, which are the focus of many current retrieval development efforts due to their radiative importance and relatively simple structure. Large systematic discrepancies in cloud microphysical properties are found in these two types of clouds among the nine cloud retrieval products, particularly for the cloud liquid and ice effective radius. It is shown that most of these large differences have their roots in the retrieval algorithms used by these cloud products, including the retrieval theoretical bases, assumptions, as well as input and constraint parameters. This study suggests the need to further validate current retrieval theories and assumptions and even the development of new retrieval algorithms with more observations under different cloud regimes.

  7. MANAGEMENT OF TRANSURANIC (TRU) WASTE RETRIEVAL PROJECT RISKS SUCCESSES IN THE STARTUP OF THE HANFORD 200 AREA TRU WASTE RETRIEVAL PROJECT

    SciTech Connect (OSTI)

    GREENWLL, R.D.

    2005-01-20T23:59:59.000Z

    A risk identification and mitigation method applied to the Transuranic (TRU) Waste Retrieval Project performed at the Hanford 200 Area burial grounds is described. Retrieval operations are analyzed using process flow diagramming. and the anticipated project contingencies are included in the Authorization Basis and operational plans. Examples of uncertainties assessed include degraded container integrity, bulged drums, unknown containers, and releases to the environment. Identification and mitigation of project risks contributed to the safe retrieval of over 1700 cubic meters of waste without significant work stoppage and below the targeted cost per cubic meter retrieved. This paper will be of interest to managers, project engineers, regulators, and others who are responsible for successful performance of waste retrieval and other projects with high safety and performance risks.

  8. Building communities, creating relationships

    E-Print Network [OSTI]

    Ginzel, Matthew

    Building communities, creating relationships c e n t e r f o r f a m i l i e s a n n u a l r e p o r t 2 0 0 7 ­ 0 8 #12;c o n t e n t s 2 Council Provides New Direction 3 Providing Expert Knowledge

  9. Description of 2003 CBECS Detailed Tables and Categories of Data

    Gasoline and Diesel Fuel Update (EIA)

    floorspace heated, cooled, and lit, and energy-using equipment types (heating, cooling, water heating, lighting, and refrigeration). Tables C1-C12 and C1A-C12A contain energy usage...

  10. Table 21. Domestic Crude Oil First Purchase Prices

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

    19.11 18.73 18.63 17.97 18.75 18.10 See footnotes at end of table. 21. Domestic Crude Oil First Purchase Prices Energy Information Administration Petroleum Marketing Annual...

  11. Energy Information Agency's 2003 Commercial Building Energy Consumption Survey Tables

    Broader source: Energy.gov [DOE]

    Energy use intensities in commercial buildings vary widely and depend on activity and climate, as shown in this data table, which was derived from the Energy Information Agency's 2003 Commercial Building Energy Consumption Survey.

  12. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

    Gasoline and Diesel Fuel Update (EIA)

    150.0 2,026.7 W W 234.5 161.7 - 396.3 See footnotes at end of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information...

  13. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

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

    - - 466.1 466.1 See footnotes at end of table. 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State 356 Energy Information...

  14. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

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

    253.2 2,222.4 W W 206.4 134.3 - 340.7 See footnotes at end of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information...

  15. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

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

    - - 532.1 532.1 See footnotes at end of table. 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State 356 Energy Information...

  16. Building an electronic drafting table for sketch recognition

    E-Print Network [OSTI]

    Bruening, Oskar Ernst, 1979-

    2004-01-01T23:59:59.000Z

    Sketch recognition as developed by the CSAIL Design Rationale Group allows a designer to sketch out and test design ideas without the need for complicated CAD programs. An electronic drafting table is required to capture ...

  17. DRAFT Batched Answer : An Alternative Scheduling for Tabling Systems

    E-Print Network [OSTI]

    Freire, Juliana

    between generation and consumption of answers, and so, implementations of tabled logic programs face of answers. Example 1.2 Consider the program p:­ q(X),r(X),s(X). q(f(X)):­ q(X). q(g(X)):­ q(X). q(a). r, NY 11794­4400 fjuliana,tswift,warreng@cs.sunysb.edu March 25, 1996 Abstract Tabled logic programs

  18. Phase Retrieval with Application to Intensity Correlation Interferometers

    E-Print Network [OSTI]

    Trahan, Russell 1987-

    2012-10-24T23:59:59.000Z

    ? Phase of a complex value RMS Root mean squared S Far field source object?s plane SNR Signal-to-noise ratio ? Angular view coordinate UV Fourier domain coordinates vii TABLE OF CONTENTS Page ABSTRACT.... .............................................................. 14 8 Graphical representation of the ? angular spatial plane which contains the image and the Fourier UV wave number plane. ............................................. 17 9 Schematic of the Hanbury Brown and Twiss interferometer [2...

  19. Title I design summary report, initial tank retrieval systems, project W-211

    SciTech Connect (OSTI)

    Rieck, C.A.

    1995-03-01T23:59:59.000Z

    This document provides the Title I (preliminary) design for the Tank 241-SY-101 (101-SY) retrieval system. The design reflects an integrated retrieval approach for 101-SY, whereby the existing mitigation pump will be used to mix the waste and Project W-211 will provide for waste removal. The Title I Design Summary Report includes narrative and sketches that describe the technical aspect of the project, as well as updated cost and schedule baselines for the 101-SY retrieval system.

  20. Remote Handled Transuranic Sludge Retrieval Transfer And Storage System At Hanford

    SciTech Connect (OSTI)

    Raymond, Rick E. [CH2M HILL Plateau Remediation Company, Richland, WA (United States); Frederickson, James R. [AREVA, Avignon (France); Criddle, James [AREVA, Avignon (France); Hamilton, Dennis [CH2M HILL Plateau Remediation Company, Richland, WA (United States); Johnson, Mike W. [CH2M HILL Plateau Remediation Company, Richland, WA (United States)

    2012-10-18T23:59:59.000Z

    This paper describes the systems developed for processing and interim storage of the sludge managed as remote-handled transuranic (RH-TRU). An experienced, integrated CH2M HILL/AFS team was formed to design and build systems to retrieve, interim store, and treat for disposal the K West Basin sludge, namely the Sludge Treatment Project (STP). A system has been designed and is being constructed for retrieval and interim storage, namely the Engineered Container Retrieval, Transfer and Storage System (ECRTS).

  1. Ground-Based Remote Retrievals of Cumulus Entrainment Rates

    SciTech Connect (OSTI)

    Wagner, Timothy J.; Turner, David D.; Berg, Larry K.; Krueger, Steven K.

    2013-07-26T23:59:59.000Z

    While fractional entrainment rates for cumulus clouds have typically been derived from airborne observations, this limits the size and scope of available data sets. To increase the number of continental cumulus entrainment rate observations available for study, an algorithm for retrieving them from ground-based remote sensing observations has been developed. This algorithm, called the Entrainment Rate In Cumulus Algorithm (ERICA), uses the suite of instruments at the Southern Great Plains (SGP) site of the United States Department of Energy's Atmospheric Radiation Measurement (ARM) Climate Research Facility as inputs into a Gauss-Newton optimal estimation scheme, in which an assumed guess of the entrainment rate is iteratively adjusted through intercomparison of modeled liquid water path and cloud droplet effective radius to their observed counterparts. The forward model in this algorithm is the Explicit Mixing Parcel Model (EMPM), a cloud parcel model that treats entrainment as a series of discrete entrainment events. A quantified value for measurement uncertainty is also returned as part of the retrieval. Sensitivity testing and information content analysis demonstrate the robust nature of this method for retrieving accurate observations of the entrainment rate without the drawbacks of airborne sampling. Results from a test of ERICA on three months of shallow cumulus cloud events show significant variability of the entrainment rate of clouds in a single day and from one day to the next. The mean value of 1.06 km- for the entrainment rate in this dataset corresponds well with prior observations and simulations of the entrainment rate in cumulus clouds.

  2. Rapid automatic keyword extraction for information retrieval and analysis

    DOE Patents [OSTI]

    Rose, Stuart J (Richland, WA); Cowley,; Wendy E (Richland, WA); Crow, Vernon L (Richland, WA); Cramer, Nicholas O (Richland, WA)

    2012-03-06T23:59:59.000Z

    Methods and systems for rapid automatic keyword extraction for information retrieval and analysis. Embodiments can include parsing words in an individual document by delimiters, stop words, or both in order to identify candidate keywords. Word scores for each word within the candidate keywords are then calculated based on a function of co-occurrence degree, co-occurrence frequency, or both. Based on a function of the word scores for words within the candidate keyword, a keyword score is calculated for each of the candidate keywords. A portion of the candidate keywords are then extracted as keywords based, at least in part, on the candidate keywords having the highest keyword scores.

  3. Integral Monitored Retrievable Storage (MRS) Facility conceptual design report

    SciTech Connect (OSTI)

    None

    1985-09-01T23:59:59.000Z

    In April 1985, the Department of Energy (DOE) selected the Clinch River site as its preferred site for the construction and operation of the monitored retrievable storage (MRS) facility (USDOE, 1985). In support of the DOE MRS conceptual design activity, available data describing the site have been gathered and analyzed. A composite geotechnical description of the Clinch River site has been developed and is presented herein. This report presents Clinch River site description data in the following sections: general site description, surface hydrologic characteristics, groundwater characteristics, geologic characteristics, vibratory ground motion, surface faulting, stability of subsurface materials, slope stability, and references. 48 refs., 35 figs., 6 tabs.

  4. Stratus Cloud Drizzle Retrieval During SHEBA from MMCR Doppler Moments

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systemsBiSiteNeutronStrategic Plan The strategicIDrizzle Retrieval During

  5. E-Print Network 3.0 - adaptive information retrieval Sample Search...

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

    Engine Support for Software Applications Summary: search is very different than the ad-hoc, interactive search that information retrieval research... & Subject Descriptors:...

  6. Can a Workspace Help to Overcome the Query Formulation Problem in Image Retrieval?

    E-Print Network [OSTI]

    Urban, J.

    Urban,J. Jose,J.M. Proceedings of the 28th European Conference on Information Retrieval (ECIR'06) pp 385??396 Springer Verlag

  7. Year Report (FY 2000) Evaluation of uncertainties in satellite retrievals of aerosol

    E-Print Network [OSTI]

    . Third Year Statement of Work 1. Construct clean aerosol data sets for the Mauna Loa (Hawaii), and Cheeka retrievals to the observed variability of ae

  8. E-Print Network 3.0 - aerosol retrieval algorithms Sample Search...

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

    the scavenging... site provide retrievals of aerosol, cloud, precipitation and radiative heating in the Arctic? 12;Key... profiles derived from ground-based and satellite remote...

  9. Monitored Retrievable Storage System Requirements Document. Revision 1

    SciTech Connect (OSTI)

    Not Available

    1994-03-01T23:59:59.000Z

    This Monitored Retrievable Storage System Requirements Document (MRS-SRD) describes the functions to be performed and technical requirements for a Monitored Retrievable Storage (MRS) facility subelement and the On-Site Transfer and Storage (OSTS) subelement. The MRS facility subelement provides for temporary storage, at a Civilian Radioactive Waste Management System (CRWMS) operated site, of spent nuclear fuel (SNF) contained in an NRC-approved Multi-Purpose Canister (MPC) storage mode, or other NRC-approved storage modes. The OSTS subelement provides for transfer and storage, at Purchaser sites, of spent nuclear fuel (SNF) contained in MPCs. Both the MRS facility subelement and the OSTS subelement are in support of the CRWMS. The purpose of the MRS-SRD is to define the top-level requirements for the development of the MRS facility and the OSTS. These requirements include design, operation, and decommissioning requirements to the extent they impact on the physical development of the MRS facility and the OSTS. The document also presents an overall description of the MRS facility and the OSTS, their functions (derived by extending the functional analysis documented by the Physical System Requirements (PSR) Store Waste Document), their segments, and the requirements allocated to the segments. In addition, the top-level interface requirements of the MRS facility and the OSTS are included. As such, the MRS-SRD provides the technical baseline for the MRS Safety Analysis Report (SAR) design and the OSTS Safety Analysis Report design.

  10. Secure quantum private information retrieval using phase-encoded queries

    SciTech Connect (OSTI)

    Olejnik, Lukasz [CERN, 1211 Geneva 23, Switzerland and Poznan Supercomputing and Networking Center, Noskowskiego 12/14, PL-61-704 Poznan (Poland)

    2011-08-15T23:59:59.000Z

    We propose a quantum solution to the classical private information retrieval (PIR) problem, which allows one to query a database in a private manner. The protocol offers privacy thresholds and allows the user to obtain information from a database in a way that offers the potential adversary, in this model the database owner, no possibility of deterministically establishing the query contents. This protocol may also be viewed as a solution to the symmetrically private information retrieval problem in that it can offer database security (inability for a querying user to steal its contents). Compared to classical solutions, the protocol offers substantial improvement in terms of communication complexity. In comparison with the recent quantum private queries [Phys. Rev. Lett. 100, 230502 (2008)] protocol, it is more efficient in terms of communication complexity and the number of rounds, while offering a clear privacy parameter. We discuss the security of the protocol and analyze its strengths and conclude that using this technique makes it challenging to obtain the unconditional (in the information-theoretic sense) privacy degree; nevertheless, in addition to being simple, the protocol still offers a privacy level. The oracle used in the protocol is inspired both by the classical computational PIR solutions as well as the Deutsch-Jozsa oracle.

  11. Recommendations on the proposed Monitored Retrievable Storage Facility

    SciTech Connect (OSTI)

    Not Available

    1985-10-01T23:59:59.000Z

    Following the Department of Energy`s announcement in April 1985 that three Tennessee sites were to be considered for the Monitored Retrievable Storage facility, Governor Lamar Alexander initiated a review of the proposal to be coordinated by his Safe Growth Team. Roane County and the City of Oak Ridge, the local governments sharing jurisdiction over DOE`s primary and secondary sites, were invited to participate in the state`s review of the MRS proposal. Many issues related to the proposed MRS are being considered by the Governor`s Safe Growth Team. The primary objective of the Clinch River MRS Task Force has been to determine whether the proposed Monitored Retrievable Storage facility should be accepted by the local governments, and if so, under what conditions. The Clinch River MRS Task Force is organized into an Executive Committee cochaired by the Roane County Executive and Mayor of Oak Ridge and three Study Groups focusing on environmental (including health and safety), socioeconomic, and transportation issues.

  12. Phenotypic and genetic relationships between certain body measurements and milk production of first lactation Holsteins

    E-Print Network [OSTI]

    Johnson, Joseph Calbert

    2013-10-04T23:59:59.000Z

    2 The relative improvement expected to be gained by selection based 3olely on body measurement variables APPENDIX TABLES 3 Analysis cf variance to measure importance of in- breeding 4 Analysis of variance to measure importance of variation due... production and six body measurements 9 The within-year, within-sire correlations between nine variables measured on dam and daughter Page 21 LI 43 44 45 46 47 4 8 49 Phenotypic and Genetic Relationships Between Certain Body Measurements and Milk...

  13. Going To Work: Work Relationships

    E-Print Network [OSTI]

    Hoffman, Rosemarie

    2000-07-20T23:59:59.000Z

    One of a worker's top goals should be to develop good relationships with coworkers and supervisers. This publication discusses five general rules for building good relationships at work and offers advice on handling criticism....

  14. Building Positive Relationships

    E-Print Network [OSTI]

    Isbell, Lou

    2001-02-20T23:59:59.000Z

    unique relationship with his parent. Not all families have strong bonds of affection and real liking for one another that cre- ate emotional intimacy. Accepting this can prevent needless comparisons. What Can You Do? Assess the degree of closeness in your... the process along construc- tively. a73 Sometimes, by giving yourselves a chance to know each other as you are today, apprecia- tion for one another grows, old feelings and situations are put in perspective, and accept- ance comes more easily. Filial Maturity...

  15. Green's function retrieval from reflection data, in absence of a receiver at the virtual source position

    E-Print Network [OSTI]

    Snieder, Roel

    Green's function retrieval from reflection data, in absence of a receiver at the virtual source; accepted 6 March 2014) The methodology of Green's function retrieval by cross-correlation has led to many, a virtual source is created at the position of a receiver. Here a method is discussed for Green's function

  16. Incremental Cluster-Based Retrieval using Compressed Cluster-Skipping Inverted Files

    E-Print Network [OSTI]

    Can, Fazli

    Incremental Cluster-Based Retrieval using Compressed Cluster-Skipping Inverted Files ISMAIL SENGOR ________________________________________________________________________ We propose a unique cluster-based retrieval (CBR) strategy using a new cluster-skipping inverted file for improving query processing efficiency. The new inverted file incorporates cluster membership and centroid

  17. Introduction Inverted index Processing Boolean queries Query optimization Course overview Introduction to Information Retrieval

    E-Print Network [OSTI]

    Nejdl, Wolfgang

    Introduction Inverted index Processing Boolean queries Query optimization Course overview Retrieval 1 / 60 #12;Introduction Inverted index Processing Boolean queries Query optimization Course overview Take-away Sch¨utze: Boolean Retrieval 2 / 60 #12;Introduction Inverted index Processing Boolean

  18. Incremental Cluster-Based Retrieval Using Compressed Cluster-Skipping Inverted Files

    E-Print Network [OSTI]

    Ulusoy, ?zgür

    15 Incremental Cluster-Based Retrieval Using Compressed Cluster-Skipping Inverted Files ISMAIL cluster-based retrieval (CBR) strategy using a new cluster-skipping inverted file for improving query processing efficiency. The new inverted file incorporates cluster member- ship and centroid information along

  19. Cut Graph Based Information Storage and Retrieval in 3D Sensor Networks with General Topology

    E-Print Network [OSTI]

    Wu, Hongyi

    curve with the guaranteed success to retrieve aggregated data through time and space with one and a balanced traffic load. I. INTRODUCTION This research focuses on in-network data-centric informa- tion along a curve called replication curve, and a query travels along another curve called retrieval curve

  20. Satellite observations of ozone and nitrogen dioxide: from retrievals to emission estimates

    E-Print Network [OSTI]

    Haak, Hein

    Summary Satellite observations of ozone and nitrogen dioxide: from retrievals to emission estimates be inferred for important trace gases such as ozone (O3) and nitrogen dioxide (NO2). Chemical transport models.11 to 3.79. Total nitrogen dioxide columns can be retrieved from space in the 405­465 nm window

  1. Indirect validation of tropospheric nitrogen dioxide retrieved from the OMI satellite instrument: Insight into the seasonal

    E-Print Network [OSTI]

    Dirksen, Ruud

    Click Here for Full Article Indirect validation of tropospheric nitrogen dioxide retrieved from nitrogen dioxide retrieved from the OMI satellite instrument: Insight into the seasonal variation of the hydroxyl radical (OH). Nitrogen dioxide (NO2) is an indicator of surface air quality that is associated

  2. MULTIMODAL MEDICAL CASE RETRIEVAL USING BAYESIAN NETWORKS AND THE DEZERT-SMARANDACHE THEORY

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    and medical history). Indeed, medical experts gene- rally need varied sources of information, which might is evaluated on a classified diabetic retinopathy database. On this database, results are promising the retrieval of relevant cases in a case database. The retrieved cases are then used to help interpreting

  3. Seismic source mechanisms of tremor recorded on Arenal volcano, Costa Rica, retrieved by waveform inversion.

    E-Print Network [OSTI]

    Boyer, Edmond

    1 Seismic source mechanisms of tremor recorded on Arenal volcano, Costa Rica, retrieved by waveform.M. Mora4 , G.J Soto.5 1 Seismology and Computational Rock Physics Laboratory, School of Geological performed for a common source location, the position of which was retrieved through the evaluation

  4. Effects of Usage based Feedback on Video Retrieval: a Simulation based Study1

    E-Print Network [OSTI]

    Effects of Usage based Feedback on Video Retrieval: a Simulation based Study1 DAVID VALLET ________________________________________________________________________ We present a model for exploiting community based usage information for video retrieval, where implicit usage information from past users is exploited in order to provide enhanced assistance in video

  5. Retrieval of optical and microphysical properties of ice clouds using Atmospheric Radiation Measurement (ARM) data

    E-Print Network [OSTI]

    Kinney, Jacqueline Anne

    2005-11-01T23:59:59.000Z

    is based on a method proposed by Yang et al. (2005). The research examines single-layer ice clouds in the midlatitude and polar regions. The retrieved information in the midlatitudes is then verified using retrievals from the Moderate-resolution Imaging...

  6. Integrating an automatic classification method into the medical image retrieval process

    E-Print Network [OSTI]

    Ruiz, Miguel E.

    the performance of the University at Buffalo Medical Text and Images Retrieval System (UBMedTIRS). This paper classification process was performed using the Image Retrieval for Medical Application (IRMA) codes3 employed to acquire the image such as x-ray, ultrasound, magnetic resonance measurement, nuclear medicine

  7. SCALAR WIND SPEED AND DIRECTION TROPICAL CYCLONE RETRIEVALS FOR CONICAL SCANNING SCATTEROMETERS

    E-Print Network [OSTI]

    Hennon, Christopher C.

    SCALAR WIND SPEED AND DIRECTION TROPICAL CYCLONE RETRIEVALS FOR CONICAL SCANNING SCATTEROMETERS--Scatterometer measurements of ocean vector winds (OVW) are significantly degraded in the presence of the precipitation, especially in tropical cyclones. This paper presents a new ocean hurricane/typhoon wind vector retrieval

  8. PageFetch: A Retrieval Game for Children (and Adults) Jim Purvis, Leif Azzopardi

    E-Print Network [OSTI]

    Jose, Joemon M.

    .e. the higher the rank the more points), and unlike 1 Pages were selected using trending search terms for under and Subject Descriptors: H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval General Terms: Design, Human Factors Keywords: Human Computational Games EXTENDED ABSTRACT Children often

  9. A Database Architecture For Real-Time Motion Retrieval Charly Awad, Nicolas Courty and Sylvie Gibet

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    A Database Architecture For Real-Time Motion Retrieval Charly Awad, Nicolas Courty and Sylvie Gibet, leading to an ex- ponential growth of the size of motion databases. Conse- quently indexing, querying, and retrieving motion capture data have become important considerations in the usability of such databases. Our

  10. Single-Database Private Information Retrieval Protocols : Overview, Usability and Trends.

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    1 Single-Database Private Information Retrieval Protocols : Overview, Usability and Trends. Carlos in which a user retrieves a record out of N from a replicated database, while hiding from the database interesting sub-field of research, called single- database PIR, deals with the schemes that allow a user

  11. Private Information Retrieval by Keywords Benny Chor \\Lambda Niv Gilboa y Moni Naor z

    E-Print Network [OSTI]

    Private information retrieval (PIR) schemes enable a user to access one or more servers that hold copies or computational sense) on the identity of the item retrieved by the user. All known PIR schemes assume underlying PIR scheme (including single server schemes). The transformation requires no modification

  12. Reducing the Servers' Computation in Private Information Retrieval: PIR with Preprocessing

    E-Print Network [OSTI]

    Beimel, Amos

    Reducing the Servers' Computation in Private Information Retrieval: PIR with Preprocessing Amos Beimel Yuval Ishai Tal Malkin§ June 12, 2003 Abstract Private information retrieval (PIR) enables a user if the user requires only a single bit. In this paper, we study the computational complexity of PIR. We show

  13. Outsourced Private Information Retrieval with Pricing and Access Control Yizhou Huang

    E-Print Network [OSTI]

    Goldberg, Ian

    - tion Retrieval (PIR) to untrusted servers while protect- ing the privacy of the database owner as well as that of the database clients. We observe that by layering PIR on top of an Oblivious RAM (ORAM) data layout, we provide.65 seconds and answers a PIR query within 3.5 seconds. 1 Introduction Private Information Retrieval, or PIR

  14. Reducing the Servers' Computation in Private Information Retrieval: PIR with Preprocessing

    E-Print Network [OSTI]

    Beimel, Amos

    Reducing the Servers' Computation in Private Information Retrieval: PIR with Preprocessing #3; Amos Beimel y Yuval Ishai z Tal Malkin x June 9, 2003 Abstract Private information retrieval (PIR) enables of PIR. We show that in the standard PIR model, where the servers hold only the database, linear

  15. The Design of PIRS, a Peer-to-Peer Information Retrieval System

    E-Print Network [OSTI]

    The Design of PIRS, a Peer-to-Peer Information Retrieval System Wai Gen Yee and Ophir Frieder of Technology Chicago, IL 60616 yee@iit.edu, ophir@ir.iit.edu Abstract. We describe the design of PIRS, a peer-to-peer information retrieval system. Unlike some other proposed approaches, PIRS does not require the centralization

  16. Reducing the Servers' Computation in Private Information Retrieval: PIR with Preprocessing

    E-Print Network [OSTI]

    Ishai, Yuval

    Reducing the Servers' Computation in Private Information Retrieval: PIR with Preprocessing #3; Amos Beimel y Yuval Ishai z Tal Malkin x January 26, 2006 Abstract Private information retrieval (PIR) enables of PIR. We show that in the standard PIR model, where the servers hold only the database, linear

  17. Efficient Private Information Retrieval Using Secure Xiangyao Yu, Christopher W. Fletcher

    E-Print Network [OSTI]

    Gummadi, Ramakrishna

    attention from the cryptography and security communities. Two main approaches to solve PIR have appearedEfficient Private Information Retrieval Using Secure Hardware Xiangyao Yu, Christopher W. Fletcher, marten, devadas}@mit.edu ABSTRACT Existing crypto-based Private Information Retrieval (PIR) schemes

  18. rPIR: Ramp Secret Sharing based Communication Efficient Private Information Retrieval

    E-Print Network [OSTI]

    Information Retrieval) is a promising security primitive to protect the privacy of users' interests. PIRrPIR: Ramp Secret Sharing based Communication Efficient Private Information Retrieval Lichun Li/diseases from a stock/medical database leaks sensitive information to the database server. PIR (Private

  19. On the Computational Practicality of Private Information Retrieval Network Security and Applied Cryptography Lab

    E-Print Network [OSTI]

    Carbunar, Bogdan

    On the Computational Practicality of Private Information Retrieval Radu Sion Network Security of single-server computational pri- vate information retrieval (PIR) for the purpose of preserv- ing client access patterns leakage. We show that deployment of non-trivial single server PIR protocols on real

  20. Almost Optimal Private Information Retrieval Dmitri Asonov ? and JohannChristoph Freytag

    E-Print Network [OSTI]

    Freytag, Johann-Christoph

    information retrieval (PIR) protocol allows a user to retrieve one of N records from a database while hiding the identity of the record from the database server. With the initially proposed PIR protocols to process of these solutions is off­line communication, com­ parable to the size of the entire database. Using a secure