Sample records for tional purchase classifying

  1. Green Purchasing

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

    Green Purchasing Green Purchasing LANL is committed to purchasing and using environmentally preferable products. Contact Environmental Communication & Public Involvement P.O. Box...

  2. Green Purchasing & Green Technology

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

    Purchasing & Technology Goals 6 & 7: Green Purchasing & Green Technology Our goal is to purchase and use environmentally sustainable products whenever possible and to implement...

  3. China For all ages a MulTi-generaTional exPloraTion

    E-Print Network [OSTI]

    Rowley, Clarence W.

    China For all ages a MulTi-generaTional exPloraTion The greaT Wall, TerraCoTTa Warriors & The MighCTuresque China Experience the Delights of a Well-Crafted Family Tour Dear Princetonian, Join Princeton Journeys, June 27 ­ July 9, 2013, for a comprehensive tour of China designed with families in mind. Explore

  4. AUSTRALIAN. N~TIONAL UNIVE~SITY DEPARTMENTO:miNUCLEAR PFf-y'SICS

    E-Print Network [OSTI]

    Chen, Ying

    AUSTRALIAN. N~TIONAL UNIVE~SITY DEPARTMENTO:miNUCLEAR PFf-y'SICS 14UD TANK OPENING REPORT/iNo. 51 functions for which it provides power. An order was . immediately placed with N.E.C. for 28 perspex bars microamp hours of b.d.p. generation than its predicted lifetime. In preparation for the next opening

  5. ENVIRONMENTAL PURCHASING POLICY

    E-Print Network [OSTI]

    Haase, Markus

    ENVIRONMENTAL PURCHASING POLICY The University of Leeds Environmental Policy includes the following the environmental policy and, in turn, that all suppliers and contractors progressively improve their own environmental performance". In line with this the University's Environmental Purchasing Policy requires

  6. Power Purchase Agreements Update

    Broader source: Energy.gov [DOE]

    Presentation covers an update on power purchase agreements and is given at the Spring 2011 Federal Utility Partnership Working Group (FUPWG) meeting.

  7. CONTRACTOR PURCHASING SYSTEM REVIEWS

    Office of Environmental Management (EM)

    PURCHASING SYSTEM REVIEWS RISK ASSESSMENT MATRIX RISK CATEGORY PERFORMANCE SCHEDULE COST HIGH (3) --Performance data casts significant doubt on the ability of the system or...

  8. Natural Gas Purchasing Options

    E-Print Network [OSTI]

    Watkins, G.

    As a result of economic and regulatory changes, the natural gas marketplace now offers multiple options for purchasers. The purpose of this panel is to discuss short-term purchasing options and how to take advantage of these options both to lower...

  9. UNIVERSITYOFSOUTHFLORIDA Purchasing and PCard

    E-Print Network [OSTI]

    Meyers, Steven D.

    that are open on July 1, 2014 will roll into FY 2014/2015. -All rolled POs that do not pass budget checking uponUNIVERSITYOFSOUTHFLORIDA Purchasing and PCard Year End Dates FY 2014-2015 June 21, 2014 PCard Last grant errors. July 7, 2014 Purchasing Requisitions and receipts can be entered for FY 2015 July 18, 2014

  10. Natural Gas Purchasing Options 

    E-Print Network [OSTI]

    Watkins, G.

    1988-01-01T23:59:59.000Z

    As a result of economic and regulatory changes, the natural gas marketplace now offers multiple options for purchasers. The purpose of this panel is to discuss short-term purchasing options and how to take advantage of these options both to lower...

  11. Purchasing Renewable Power | Department of Energy

    Energy Savers [EERE]

    Products & Technologies Renewable Energy Purchasing Renewable Power Purchasing Renewable Power Federal agencies can purchase renewable power or renewable energy certificates...

  12. Purchased Gas Adjustment Rules (Tennessee)

    Broader source: Energy.gov [DOE]

    The Purchased Gas Adjustment Rules are implemented by the Tennessee Regulatory Authority (Authority). Purchased Gas Adjustment (PGA) Rules are intended to permit the company/LDC (local gas...

  13. Purchasing in Texas Counties.

    E-Print Network [OSTI]

    Hervey, E. J.; Bradshaw, H. C.

    1944-01-01T23:59:59.000Z

    from every standpoint. As long as it continues, the purchasing power of the county dollar is sub- stantially reduced, for each company and individual must discount the county's warrants. In these counties, the necessity of developing and maintaining...8 r3' L \\, & #5, CnLpL"; 3' --%I k? TEXAS AGRICULTURAL EXPERIMENT STATION A. B. CONNER, Director College Station, Texas BULLETIN NO. 653 JULY 1944 PURCHASING IN TEXAS COUNTIES H. C. BRADSEAW and E. J, HERVEY Division of Farm and Ranch...

  14. Purchasing Renewable Power

    Broader source: Energy.gov [DOE]

    Federal agencies can purchase renewable power or renewable energy certificates (RECs) from a utility or other organization to meet Federal renewable energy requirements. Renewable power and RECs are good choices for facilities where on-site projects may be difficult or capital budgets are limited.

  15. Purchase Obligations, Earnings Persistence and Stock Returns

    E-Print Network [OSTI]

    Lee, Kwang June

    2010-01-01T23:59:59.000Z

    a substantial amount of power purchase agreements. On theassets PG&E Corp • Power purchase, natural gas supply andthat ?Purchase t has incremental explanatory power for ?

  16. Execution Version POWER PURCHASE AGREEMENT

    E-Print Network [OSTI]

    Firestone, Jeremy

    ") and BLUEWATER WIND DELAWARE LLC ("Seller") June 23, 2008 #12;Execution Version POWER PURCHASE AGREEMENT TableExecution Version POWER PURCHASE AGREEMENT between DELMARVA POWER & LIGHT COMPANY ("Buyer 3.5 Energy Forecasts, Scheduling and Balancing.......................................... 40 3

  17. Oklahoma State University Purchasing Card

    E-Print Network [OSTI]

    Veiga, Pedro Manuel Barbosa

    Oklahoma State University Purchasing Card Guidelines Oklahoma State University Fiscal and Administrative Compliance 306 Whitehurst Stillwater, OK 74078 http://faac.okstate.edu August 2011 Oklahoma State University Purchasing Card Guidelines Fiscal and Administrative Compliance Oklahoma State University #12;Page

  18. Riverside, CA Vehicle Purchase Incentives

    Broader source: Energy.gov [DOE]

    City of Riverside residents and employees are eligible to receive a rebate toward the purchase of qualified natural gas or hybrid electric vehicles purchased from a City of Riverside automobile...

  19. CLASSIFIED EMPLOYEE RECOGNITION AWARD

    E-Print Network [OSTI]

    Oregon, University of

    Laurie Matsen Mark Turner 1996 CLASSIFIED EMPLOYEE RECOGNITION AWARD Nancy Blake Connie Tapp Paul Marjorie Bigelow Rachele Raia Gary A. Smith Laura Willey #12;1995 CLASSIFIED EMPLOYEE RECOGNITION AWARD Pat

  20. Purchasing | The Ames Laboratory

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)IntegratedSpeedingTechnicalPurchase, Delivery, and Storage of Gases Print ALS users

  1. Storage Begins with Purchasing purchase minimum needed for experiment

    E-Print Network [OSTI]

    Cohen, Robert E.

    Storage Begins with Purchasing · purchase minimum needed for experiment ­ do not "buy in bulk://www.ehs.washington.edu/forms/epo/peroxideguidelines.pdf #12;Chemical Storage Basics · https://web.mit.edu/environment/pdf/sop/sop_0023.pdf · http://www.lbl.gov/ehs/chsp/html/storage level · do not store chemicals in fume hoods · flammable storage refrigerator needed for flammable

  2. www.ResponsiblePurchasing.org Sustainable Purchasing 101

    E-Print Network [OSTI]

    Escher, Christine

    .ResponsiblePurchasing.org RPN Nonprofit, ~200 members ·States ·Local governments ·Federal agencies ·Colleges and universities.ResponsiblePurchasing.org EPPs are... · Made with recycled content · Highly energy efficient · Designed to be long lasting · Recyclable or compostable · Made from renewable resources · Less toxic than conventional goods · Manufactured

  3. Louisiana Tech University Purchasing Department

    E-Print Network [OSTI]

    Selmic, Sandra

    of Education or Qualification Achieved: 1. State relevance of purchase to your mission, purpose, research Number: Web Site Address (if available) 5. If purchase related to compatibility with existing equipment, then identify the item(s) and applicable tag numbers(s) of State equipment: #12;6. SOLE SOURCE CONSIDERATIONS

  4. POLICY: A:VPFA # / Purchasing Policy PROCEDURES

    E-Print Network [OSTI]

    Martin, Jeff

    POLICY: A:VPFA # / Purchasing Policy PROCEDURES: APPENDIX: Approved: April 1, 2013 Revised: Cross References: Purchasing Policy Capital Projects and Renovations Policy Conflict of Interest Policy Sustainability Policy Green Procurement Policy 1 of 9 PROCEDURES: Purchasing Policy AUTHORITY: University

  5. City of Boulder- Green Power Purchasing

    Broader source: Energy.gov [DOE]

    The City of Boulder purchases a portion of its electricity supply from wind power through Xcel Energy's Windsource program and Renewable Choice Energy, headquartered in Colorado. Boulder purchases...

  6. Identifying Classified Information

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

    1998-05-08T23:59:59.000Z

    This Manual provides requirements for managing the Department’s classification and declassification program, including details for classifying and declassifying information, documents, and material. Cancels DOE O 5650.2B.

  7. Identification of Classified Information

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

    1991-12-31T23:59:59.000Z

    To specify responsibilities, authorities, policy, and procedures for the management of the Department of Energy (DOE) program to identify classified information, documents, or material. Cancels DOE O 5650.2A, dated 5-8-85.

  8. Identifying Classified Information

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

    2014-06-03T23:59:59.000Z

    The Order establishes the program to identify information classified under the Atomic Energy Act [Restricted Data (RD), Formerly Restricted Data (FRD), and Transclassified Foreign Nuclear Information (TFNI)]or Executive Order (E.O.) 13526 [National Security Information (NSI)], so that it can be protected against unauthorized dissemination.

  9. Identifying Classified Information

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

    2007-08-28T23:59:59.000Z

    The Order establishes the program to identify information classified under the Atomic Energy Act [Restricted Data (RD) and Formerly Restricted Data (FRD)] or Executive Order 12958, as amended [National Security Information (NSI)], so that it can be protected against unauthorized dissemination. Canceled by DOE O 475.2

  10. Identifying Classified Information

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

    2011-02-01T23:59:59.000Z

    The Order establishes the program to identify information classified under the Atomic Energy Act [Restricted Data (RD), Formerly Restricted Data (FRD), and Transclassified Foreign Nuclear Information (TFNI)] or Executive Order (E.O.) 13526 [National Security Information (NSI)], so that it can be protected against unauthorized dissemination. Cancels DOE O 475.2 and DOE M 475.1-1B.

  11. Identifying Classified Information

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

    2014-10-03T23:59:59.000Z

    To establish the program to identify information classified under the Atomic Energy Act [Restricted Data (RD), Formerly Restricted Data (FRD), and Transclassified Foreign Nuclear Information (TFNI)] or Executive Order (E.O.) 13526 [National Security Information (NSI)], so that it can be protected against unauthorized dissemination.

  12. Identifying Classified Information

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

    2001-02-26T23:59:59.000Z

    This Manual provides requirements for managing the Department of Energy (DOE) classification and declassification program, including details for classifying and declassifying information, documents, and material. This Manual also supplements DOE O 200.1, INFORMATION MANAGEMENT PROGRAM, which combines broad information management topics under a single Order. Specific requirements for each topic are issued in separate Manuals. Cancels DOE M 475.1-1. Canceled by DOE M 475.1-1B

  13. Resources on Purchasing Renewable Power | Department of Energy

    Energy Savers [EERE]

    Resources on Purchasing Renewable Power Resources on Purchasing Renewable Power Many helpful resources about purchasing renewable power are available. Publications Renewable...

  14. City of Madison- Green Power Purchasing

    Broader source: Energy.gov [DOE]

    In 1999, Madison’s Metro Maintenance and Administration Facility began purchasing 25% of its electricity from Madison Gas and Electric’s wind power program. The additional cost to purchase the wind...

  15. City of Philadelphia- Green Power Purchasing

    Broader source: Energy.gov [DOE]

    *In contrast to renewable energy purchasing goals of many local governments, Philadelphia's initiative targets total electricity use within the city as opposed to only purchases made by the city ...

  16. South Carolina Municipalities- Green Power Purchasing

    Broader source: Energy.gov [DOE]

    Participating residential customers are able to purchase this green power for $3 per 100 kWh block. Commercial participants are able to purchase the power for $6 per 200 kWh block.

  17. City of Chicago- Green Power Purchasing

    Broader source: Energy.gov [DOE]

    For more green power purchasing program listings, visit the U.S. Department of Energy Green Power Network.

  18. The OLCF center ensures that the world's most advanced computa-tional scientists get the resources they need, allowing them to help

    E-Print Network [OSTI]

    they need, allowing them to help improve both the world and our understanding of it. Home to Jaguar, a Cray such as the Department of Energy's Innovative and Novel Computational Impact on Theory and Experiment (IN- CITE), the center ensures that the world's most advanced computa- tional scientists get the resources they need

  19. Guide to Purchasing Green Power

    Broader source: Energy.gov [DOE]

    The Guide to Purchasing Green Power is intended for organizations that are considering the merits of buying green power as well as those that have decided to buy it and want help doing so. The guide was written for a broad audience, including businesses, government agencies, universities, and all organizations wanting to diversify their energy supply and reduce the environmental impact of their electricity use. The Guide can help with planning an on-site renewable generation project.

  20. Green Purchasing & Green Technology

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

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

  1. POWER PURCHASE AGREEMENT DELMARVA POWER & LIGHT COMPANY

    E-Print Network [OSTI]

    Firestone, Jeremy

    POWER PURCHASE AGREEMENT between DELMARVA POWER & LIGHT COMPANY ("Buyer") and BLUEWATER WIND 3.5 Energy Forecasts, Scheduling and Balancing.......................................... 39 3

  2. Classified Matter Protection and Control

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

    1995-09-26T23:59:59.000Z

    Provides detailed requirements to supplement DOE O 471.2, which establishes policy for the protection and control of classified and unclassified information. Does not cancel other directives.

  3. PURCHASE ORDER TERMS AND CONDITIONS 1. Any purchase order issued by the Bowling Green State University Purchasing Department is a

    E-Print Network [OSTI]

    Moore, Paul A.

    University Purchasing Department is a binding contract between the Buyer, (Bowling Green State University correspondence to: Bowling Green State University, 103 Park Avenue, Attn: Purchasing Department, Bowling Green: Mail all invoices to Bowling Green State University, Accounts Payable, Room 319 Administration Building

  4. Classified Visits Involving Foreign Nationals

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

    2004-01-13T23:59:59.000Z

    The Order establishes a program to manage the Department-wide program to facilitate, document, and assure accountability when approving foreign national access to classified DOE programs and facilities. Cancels portions of Chapter VIII, of DOE O 470.1 that pertain to foreign nationals who visit DOE sitess and require access to classified information. Canceled by DOE O 470.4B.

  5. Items Prohibited for Purchase January 2012

    E-Print Network [OSTI]

    Pennycook, Steve

    Items Prohibited for Purchase January ­ 2012 Advertising/Public Relations Items Alcohol (ethyl SJEOW extension cord with power indicator light in the cord connector. Catalog Numbers: 01287 01288 Turnbuckles Wire rope (slings, clips [clamps]) Illegal supplies purchased through Cuba, Iran, Libya, North

  6. Manual for Identifying Classified Information

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

    2007-08-28T23:59:59.000Z

    The Manual provides detailed requirements to supplement DOE O 475.2, Identifying Classified Information, dated 8/28/07. Cancels DOE M 475.1-1A; canceled by DOE O 475.2A

  7. Physical Protection of Classified Matter

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

    1988-02-03T23:59:59.000Z

    The order establishes policy and objectives for physical protection of classified matter. This directive does not cancel another directive. Chg 1, 7-30-93. Canceled by 5632.1C.

  8. Guide to Purchasing Green Power: Renewable Electricity, Renewable...

    Energy Savers [EERE]

    Guide to Purchasing Green Power: Renewable Electricity, Renewable Energy Certificates, and On-Site Renewable Generation Guide to Purchasing Green Power: Renewable Electricity,...

  9. Buy Energy-Efficient Products: A Guide for Federal Purchasers...

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

    Buy Energy-Efficient Products: A Guide for Federal Purchasers and Specifiers Buy Energy-Efficient Products: A Guide for Federal Purchasers and Specifiers Document encourages...

  10. Table 22. Domestic Crude Oil First Purchase Prices for Selected...

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

    Form EIA-182, "Domestic Crude Oil First Purchase Report." 22. Domestic Crude Oil First Purchase Prices for Selected Crude Streams 44 Energy Information Administration...

  11. Third-Party Financing and Power Purchase Agreements for Public...

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

    Third-Party Financing and Power Purchase Agreements for Public Sector PV Projects Third-Party Financing and Power Purchase Agreements for Public Sector PV Projects Provides an...

  12. Municipal Bond - Power Purchase Agreement Model Continues to...

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

    for power purchase agreement model to provide low-cost solar energy. Author: National Renewable Energy Laboratory Municipal Bond - Power Purchase Agreement Model Continues to...

  13. Using government purchasing power to reduce equipment standby power

    E-Print Network [OSTI]

    Harris, Jeffrey; Meier, Alan; Bartholomew, Emily; Thomas, Alison; Glickman, Joan; Ware, Michelle

    2003-01-01T23:59:59.000Z

    or external power supply, other specifications, and purchasethe consumer to purchase extra power strips and extensionan internal standby power function, shall purchase Although

  14. Purchase and Installation of a Geothermal Power Plant to Generate...

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

    Purchase and Installation of a Geothermal Power Plant to Generate Electricity Using Geothermal Water Resources Purchase and Installation of a Geothermal Power Plant to Generate...

  15. Energy Department Issues Tribal Renewable Energy Purchase Guidance...

    Energy Savers [EERE]

    Issues Tribal Renewable Energy Purchase Guidance and Project Development Resources Energy Department Issues Tribal Renewable Energy Purchase Guidance and Project Development...

  16. Quick Guide: Power Purchase Agreements (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-07-01T23:59:59.000Z

    Introduction to Federal power purchase agreements (PPAs), including available FEMP services and technical assistance as well as questions to ask when evaluating PPAs for a Federal renewable energy project.

  17. Quick Guide: Power Purchase Agreements (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-06-01T23:59:59.000Z

    Introduction to Federal power purchase agreements (PPAs), including available FEMP services and technical assistance as well as questions to ask when evaluating PPAs for a Federal renewable energy project.

  18. Storage management solutions Buyer's guide: purchasing criteria

    E-Print Network [OSTI]

    Storage management solutions Buyer's guide: purchasing criteria Manage your storage to meet service storage environment cohesively As new guidelines or regulations surface, storage administrators receive increasing numbers of requests for change (RFCs) in storage provisioning. Simultaneously, routine changes

  19. Sustainable Electric Utility (SEU)- SREC Purchase Program

    Broader source: Energy.gov [DOE]

    SREC purchase program is a joint incentive of Delaware Division of Energy and Climate (DNREC) and the state’s Sustainable Energy Utility (SEU). The program offers a standard onetime payment of $450...

  20. City of Bellingham- Green Power Purchasing

    Broader source: Energy.gov [DOE]

    In July 2006, the Bellingham City Council adopted a policy to begin purchasing 100% green power for all facilities owned by the city -- one of the most aggressive such goals in the United States....

  1. City of Aspen- Green Power Purchasing

    Broader source: Energy.gov [DOE]

    In 2005, the City of Aspen set a goal to purchase 75% of the city government's energy from renewable sources by 2010. As of December 2006, Aspen had accomplished its goal to provide 75% non-carbon...

  2. Purchase Obligations, Earnings Persistence and Stock Returns

    E-Print Network [OSTI]

    Lee, Kwang June

    2010-01-01T23:59:59.000Z

    purchase, natural gas supply and transportation, and nuclearNatural Gas Utilities Communication Personal Services Business Services Computer Hardware Computer Software Electronic Equipment Measuring and Control Equipment Business Supplies Shipping Containers Transportation

  3. A Discussion on the Classifier Projection Space for Classifier Combining

    E-Print Network [OSTI]

    Duin, Robert P.W.

    . Such a space of a low dimensionality is a Classifier Projection Space (CPS). In the first instance, it is used. This is illustrated by some examples. In the end, we discuss how the CPS may also be used as a basis for constructing to essentially different solutions. The concept of diversity is, thereby, crucial [9]. There are various ways

  4. GO GREEN! BUY GREEN! Introduction to Green Purchasing

    E-Print Network [OSTI]

    Lafferriere, Gerardo

    for Existing Buildings Sustainable purchasing policy Green Cleaning policy (with purchasing requirements) #12 ­ Building products ­ Green meetings and conference services · Low or non-toxic or non-hazardous chemicalsGO GREEN! BUY GREEN! Introduction to Green Purchasing April 22nd, 2010 Karen Preston - Purchasing

  5. Power Purchase Agreements | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of Contamination in235-1Department of60Power Purchase Agreements Power Purchase Agreements

  6. Gas Purchasing Strategies for the '90s 

    E-Print Network [OSTI]

    Schuler, S. H.

    1989-01-01T23:59:59.000Z

    significant portion of the nation's refining in petrochemical capacity. HL&P has 12,855 MW of generating capacity and sells approximately 25% of Texas' total electric utility sales. As a gas purchaser, HL&P is situated in "pipeline alley" and now has pipeline...

  7. University of Hawaii Purchasing Cardholder Information

    E-Print Network [OSTI]

    Olsen, Stephen L.

    No Accounting Code Account Code: Subcode: Campus Code: Fiscal Officer Code: Division Code: Executive Level Code: School Code: Department Code: Sub-Dept. Code: rev. 09/20051 Monthly Credit Limit: $ Single Purchase Limit Information Department Liaison: Approving Official: (Vice President, Chancellor, Dean or Director) Who

  8. Classified Information Systems Security Manual

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

    1999-08-03T23:59:59.000Z

    This Manual provides requirements and implementation instructions for the graded protection of the confidentiality, integrity, and availability of information processed on all automated information systems used to collect, create, process, transmit, store, and disseminate classified information by, or on behalf of, the Department of Energy (DOE). DOE N 205.4 cancels Chapter III section 8, Incident Reporting, and DOE N 205.3 cancels Chapter VI, paragraph 4j(2), 4j(6); and Chapter VII, paragraph 12a(2)(a). Cancels: DOE M 5639.6A-1. Canceled by DOE M 205.1-4.

  9. What Is Your Latest Energy Efficient Purchase? | Department of...

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

    Latest Energy Efficient Purchase? What Is Your Latest Energy Efficient Purchase? February 10, 2011 - 6:30am Addthis On Tuesday, Andrea told us about her new door and the research...

  10. Large Industrial Renewable Energy Purchase Program (New Brunswick)

    Broader source: Energy.gov [DOE]

    Beginning January 1, 2012 the Large Industrial Renewable Energy Purchase Program allows NB Power to purchase renewable energy generated by its largest customers at a rate of $95/MWh. This...

  11. Purchase of High Performance Computing (HPC) Central Compute Resources

    E-Print Network [OSTI]

    Shull, Kenneth R.

    Purchase of High Performance Computing (HPC) Central Compute Resources by Northwestern Researchers summarizes High Performance Computing (HPC) compute resources that faculty engaged in research may purchase of code on the Quest high performance computing system. The installation cycles for new

  12. The Ohio State University Delegation of Purchasing Authority

    E-Print Network [OSTI]

    Jones, Michelle

    , the College agrees to verify with the iBuy website and/or the Purchasing Department. 4. The College and Buyer: Vending Coordinator, Purchasing Department · Weapons, Ammunition and Explosives: Assistant Vice President

  13. Creative renewable energy purchasing options for businesses

    SciTech Connect (OSTI)

    Lokey, Elizabeth

    2007-01-15T23:59:59.000Z

    Green energy providers are creating novel ways for large commercial clients to get involved in the long-term development of renewable energy generation. Some plans are designed to allow the purchase of energy to provide long-term off-take stability and other financial benefits to companies developing renewable energy projects. Two new insurance products could help absorb some of the financial risk taken on by the clients. (author)

  14. Gas Purchasing Strategies for the '90s

    E-Print Network [OSTI]

    Schuler, S. H.

    GAS PURCHASING STRATEGIES FOR THE '90S STEVEN H. SCHULER Manager-Acquisition & Contract Administration Houston Lighting & Power Company Houston, Texas The purpose of my talk today is to: 1. provide a brief summary of the structural... changes which have occurred in the natural gas market over the last several years 2. discuss some of the effects of these changes and some of the potential issues that could result from these changes, and 3. finally to offer some advice on how...

  15. Bonneville Power Administration's Purchasing of Energy Savings

    E-Print Network [OSTI]

    Schick, H.

    BONNEVILLE POWER ADMINISTRATION'S PURCHASE OF ENERGY SAVINGS Harold (Skip) Schick Leslie E. McMillan Bonneville Power Administration Port1and, Oregon INTRODUCTION The Bonneville Power Administration (BPA) is conducting a commercial... buildings retrofit program in the Pacific Northwest by making pay ments to a sponsor, such as an energy serv ice company or architectural and engineering firm, for energy savings which actually occur in a commercial building. This effort is one...

  16. Power Purchase Agreements | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMay 2015 < prev next > Sun Mon Tue Wed May 28-29,MeteringPower Purchase

  17. Purchase, Delivery, and Storage of Gases

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)IntegratedSpeedingTechnicalPurchase, Delivery, and Storage of Gases Print ALS users

  18. When to Purchase Premium Efficiency Motors

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric VehicleCenters | Department ofofto Purchase Premium Efficiency Motors

  19. Jackson Purchase Energy Corporation | Open Energy Information

    Open Energy Info (EERE)

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

  20. Purchase, Delivery, and Storage of Gases

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah47,193.70COMMUNITY AEROSOL: Shale natural gas provedArcPurchase,

  1. Control of Classified Documents and Information

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

    1988-02-12T23:59:59.000Z

    To provide uniform standards and operating procedures for safeguarding and controlling classified documents and information, to ensure that classified documents are furnished only to authorized personnel on a "need-to-know" basis and to prevent loss or compromise of classified information. Cancels DOE O 5635.1 dated 11-24-80 and DOE HQ O 5635.1 dated 9-24-84. Canceled by DOE O 5632.1C dated 7-15-94.

  2. Briefing, Restricted Data Classifiers- June 2014

    Broader source: Energy.gov [DOE]

    This briefing provides the training required by 10 CFR part 1045 for persons who classify documents containing Restricted Data and Formerly Restricted Data.

  3. Name Title E-mail Address Phone Jane Scott Purchasing Card Manager jscott@purchasing.utah.edu (801) 581-6622

    E-Print Network [OSTI]

    Tipple, Brett

    @purchasing.utah.edu (801) 587-7859 Heidi Slack Purchasing Card Auditor hslack@purchasing.utah.edu (801) 581-7945 Ashley://fbs.admin.utah.edu/pcard/ Resources Other Resources #12;3 Contents Resources

  4. Issues in Purchasing and Maintaining Intrinsic Standards

    SciTech Connect (OSTI)

    PETTIT,RICHARD B.; JAEGER,KLAUS; EHRLICH,CHARLES D.

    2000-09-12T23:59:59.000Z

    Intrinsic standards are widely used in the metrology community because they realize the best level uncertainty for many metrology parameters. For some intrinsic standards, recommended practices have been developed to assist metrologists in the selection of equipment and the development of appropriate procedures in order to realize the intrinsic standard. As with the addition of any new standard, the metrology laboratory should consider the pros and cons relative to their needs before purchasing the standard so that the laboratory obtains the maximum benefit from setting up and maintaining these standards. While the specific issues that need to be addressed depend upon the specific intrinsic standard and the level of realization, general issues that should be considered include ensuring that the intrinsic standard is compatible with the laboratory environment, that the standard is compatible with the current and future workload, and whether additional support standards will be required in order to properly maintain the intrinsic standard. When intrinsic standards are used to realize the best level of uncertainty for a specific metrology parameter, they usually require critical and important maintenance activities. These activities can including training of staff in the system operation, as well as safety procedures; performing periodic characterization measurements to ensure proper system operation; carrying out periodic intercomparisons with similar intrinsic standards so that proper operation is demonstrated; and maintaining control or trend charts of system performance. This paper has summarized many of these important issues and therefore should be beneficial to any laboratory that is considering the purchase of an intrinsic standard.

  5. Danny Lloyd Supply Purchasing Manager & Jlab Small Business...

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

    Danny Lloyd Supply Purchasing Manager & Jlab Small Business Program Manager JSA Mentor-Protg Program Thomas Jefferson National Accelerator Facility Newport, News, Virginia...

  6. NREL-Third-Party Financing and Power Purchasing Agreements for...

    Open Energy Info (EERE)

    NREL-Third-Party Financing and Power Purchasing Agreements for Public Sector PV Projects Webinar Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Third-Party Financing...

  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 22. Domestic Crude Oil First Purchase Prices for Selected...

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

    company data. Source: Energy Information Administration, Form EIA-182, "Domestic Crude Oil First Purchase Report." 44 Energy Information AdministrationPetroleum Marketing Annual...

  9. 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...

  10. Table 22. Domestic Crude Oil First Purchase Prices for Selected...

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

    company data. Source: Energy Information Administration, Form EIA-182, "Domestic Crude Oil First Purchase Report." 44 Energy Information Administration Petroleum Marketing...

  11. Energy Department Announces Funding to Develop Aggregate Purchasing...

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

    today announced up to 2 million to support aggregate purchasing models for plug-in electric and other alternative fuel and advanced technology vehicles, subsystems,...

  12. AEP Ohio - Renewable Energy Credit (REC) Purchase Program | Department...

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

    Check the program web site for more information. ''''' As part of AEP Ohio's Renewable Energy Credit (REC) Purchase Program, customers can sell their RECs produced...

  13. Aggregated Purchasing and Workplace Charging Can Drive EV Market...

    Office of Environmental Management (EM)

    Standing before PG&E's new plug-in electric bucket truck, Secretary Moniz announced the Energy Department's notice of intent to support pilot aggregated purchasing models for...

  14. Highly Insulating Windows Volume Purchase Program Final Report

    SciTech Connect (OSTI)

    Parker, Graham B.; Mapes, Terry S.; Zalis, WJ

    2013-02-01T23:59:59.000Z

    This report summarizes the Highly Insulating Windows Volume Purchase Program, conduced by PNNL for DOE-BTP, including a summary of outcomes and lessons learned.

  15. Request for Information: Federal Government Power Purchase Agreements...

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

    request for information for federal government power purchase agreement (PPA) issues. pparfi.pdf More Documents & Publications Response Summary: Department of Energy Power...

  16. Appendix S-50 - Power Purchase Agreement (PPA) - Public Utilities...

    Open Energy Info (EERE)

    0 - Power Purchase Agreement (PPA) - Public Utilities Commission Jump to: navigation, search OpenEI Reference LibraryAdd to library PermittingRegulatory Guidance - Instructions:...

  17. Optimisation of physical and financial power purchase portfolios

    E-Print Network [OSTI]

    2003-03-10T23:59:59.000Z

    protect a power purchase portfolio against market risks. Facing this question, a multicriterial linear stochastic optimisation model has been developed. It is based

  18. Major habitat purchase in Columbia estuary benefits salmon ...

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

    Fredlund, Corps, 503-808-4510 (EDITORS: Click for maps, photos and video.) Major habitat purchase in Columbia estuary benefits salmon The Columbia Land Trust, Bonneville Power...

  19. Response Summary: Department of Energy Power Purchase Agreement...

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

    response summary for the U.S. Department of Energy (DOE) request for information on power purchase agreements. pparfisummary.pdf More Documents & Publications Request for...

  20. Optimisation of physical and financial power purchase portfolios

    E-Print Network [OSTI]

    Gorden Spangardt

    2002-10-18T23:59:59.000Z

    Oct 18, 2002 ... Optimisation of physical and financial power purchase portfolios. Gorden Spangardt (spa ***at*** umsicht.fhg.de) Michael Lucht (luc ***at*** ...

  1. Third-Party Financing and Power Purchase Agreements for Public...

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

    of power purchase agreements, specifically as they relate to public sector solar photovoltaic projects. Author: National Renewable Energy Laboratory tapwebinar20090527coughli...

  2. Third Party Financing and Power Purchasing Agreements for Public...

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

    and Power Purchase Agreements for public sector PV projects presented at the TAP Web Seminar on May 27, 2009, includes economic and legal information. Third Party Financing...

  3. GovEnergy 2008 Session Presentation on Power Purchase Agreements...

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

    Agreements Power Purchase Agreements for for Renewable Energy Renewable Energy Jim Snook Steve Dumont Jim Snook Steve Dumont Mike Warwick Mike Warwick AFCESACENF AFCESACENF ACC...

  4. Revisiting the Income Effect: Gasoline Prices and Grocery Purchases

    E-Print Network [OSTI]

    Gicheva, Dora; Hastings, Justine; Villas-Boas, Sofia B

    2008-01-01T23:59:59.000Z

    Sold On Sale and Retail Gasoline Prices Log % Purchased Onhigher gasoline prices into retail prices, by investigatingexcluding California average retail gasoline price for all

  5. Sandia National Laboratories: model of solar purchase dynamics

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

    of solar purchase dynamics Price Premiums for Solar Home Sales On February 25, 2015, in Energy, News, News & Events, Partnership, Photovoltaic, Renewable Energy, Solar, Systems...

  6. Classified Automated Information System Security Program

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

    1994-07-15T23:59:59.000Z

    To establish uniform requirements, policies, responsibilities, and procedures for the development and implementation of a Department of Energy (DOE) Classified Computer Security Program to ensure the security of classified information in automated data processing (ADP) systems. Cancels DOE O 5637.1. Canceled by DOE O 471.2.

  7. Comparing Evolvable Hardware to Conventional Classifiers for

    E-Print Network [OSTI]

    Hellebrand, Sybille

    Classifiers !! Experiment Setup and Results !! Discussion and Future Work Glette, Gruber, Kaufmann, Torresen than ANNs Glette, Gruber, Kaufmann, Torresen, Sick, Platzner 4 AHS 2008 #12;System Overview Glette-Application !! Conventional and Evolvable Hardware Classifiers !! Experiment Setup and Results !! Discussion and Future Work

  8. UNIVERSITY OF TORONTO PURCHASING CHARGE CARD REQUEST FORM & ACKNOWLEDGEMENT OF

    E-Print Network [OSTI]

    and the Card Program Administrator immediately. Furthermore, I understand that this Card is the property duties in connection with the university, and I will not use the Card to make any personal purchases. I fully understand that purchases made using this Card are to be authorized by a departmental manager

  9. Quality Classifiers for Open Source Software Repositories

    E-Print Network [OSTI]

    Tsatsaronis, George; Giakoumakis, Emmanouel A

    2009-01-01T23:59:59.000Z

    Open Source Software (OSS) often relies on large repositories, like SourceForge, for initial incubation. The OSS repositories offer a large variety of meta-data providing interesting information about projects and their success. In this paper we propose a data mining approach for training classifiers on the OSS meta-data provided by such data repositories. The classifiers learn to predict the successful continuation of an OSS project. The `successfulness' of projects is defined in terms of the classifier confidence with which it predicts that they could be ported in popular OSS projects (such as FreeBSD, Gentoo Portage).

  10. C:\\Documents and Settings\\rpriesmeyer\\My Documents\\Word\\FAMIS Purchasing Guidelines.doc FAMIS Purchasing Guidelines

    E-Print Network [OSTI]

    Behmer, Spencer T.

    C:\\Documents and Settings\\rpriesmeyer\\My Documents\\Word\\FAMIS Purchasing Guidelines.doc FAMIS Purchasing Guidelines We are now utilizing the FAMIS (Financial Accounting Information Systems) State of measure & unit price of each item) · Indicate if there is a separate charge for shipping and handling

  11. Manual for Classified Matter Protection and Control

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

    1998-01-09T23:59:59.000Z

    Provides detailed requirements for the protection and control of classified matter which supplement DOE O 471.2A. Cancels DOE M 471.2-1 dated 09/26/1995.

  12. Table 23. Domestic Crude Oil First Purchase Prices by API Gravity

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

    Form EIA-182, "Domestic Crude Oil First Purchase Report." 23. Domestic Crude Oil First Purchase Prices by API Gravity Energy Information Administration Petroleum...

  13. Purchasing Water-Efficient Faucets, Pre-Rinse Spray Valves, Showerhead...

    Energy Savers [EERE]

    Products & Technologies Energy-Efficient Products Purchasing Water-Efficient Faucets, Pre-Rinse Spray Valves, Showerheads, Toilets, and Urinals Purchasing Water-Efficient...

  14. Pallets of PV: Communities Purchase Solar and Drive Down Costs...

    Open Energy Info (EERE)

    Pallets of PV: Communities Purchase Solar and Drive Down Costs Together Home > Groups > OpenEI Community Central Graham7781's picture Submitted by Graham7781(2017) Super...

  15. Economical Energy Storage Option Enhances Energy Purchasing Strategies

    E-Print Network [OSTI]

    Hansen, D. W.; Winters, P. J.

    Chilled Water Thermal Energy Storage (TES) offers benefits to both the electricity supplier and the electricity user. This well-established technology uses stratified chilled water to store energy in thermal form so that electricity can be purchased...

  16. Boulder Valley School District (Colorado) Power Purchase Agreement...

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

    Boulder Valley School District completed a power purchase agreement to install 1.4 MW of solar PV that are expected to reduce electricity bills in 14 schools by about 10% over the...

  17. air force purchasing: Topics by E-print Network

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

    (see Figures 2-4) Overhead on coral island formation (see Figure 5) One can of white shaving cream 466 Vue Processes and Guidance for Island Purchases and Owners Austin Tate,...

  18. aircraft purchase rights: Topics by E-print Network

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

    shall be ratified by the Board within 90 days. unknown authors 2001-01-01 17 Natural Gas Purchasing Options Texas A&M University - TxSpace Summary: As a result of economic and...

  19. 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...

  20. Minimum Purchase Price Regulations (Prince Edward Island, Canada)

    Broader source: Energy.gov [DOE]

    The Minimum Purchase Price Regulations establish the price which utilities must pay for power produced by large-scale renewable energy generators – that is those capable of producing more than 100...

  1. Microsoft Word - ProvisionsFundsColvilleConfederatedTribesPurchaseLoup...

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

    Confederated Tribes for purchase of the Loup Loup Creek and Aeneas Creek properties. Fish and Wildlife Project No.: 2008-104-00 Categorical Exclusion Applied (from Subpart D, 10...

  2. Government Practices in purchasing R&D: Intellectual Property...

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

    Practices in Purchasing R&D: Intellectual Property Provisions at the Department of Energy Paul Gottlieb Assistant General Counsel for Tech. Transfer & IP 202-586-3439 (fax 2805)...

  3. City of Grand Rapids- Green Power Purchasing Policy

    Broader source: Energy.gov [DOE]

    In 2005, the City of Grand Rapids established a goal of purchasing 20% of its municipal power demand from renewable energy by 2008. In November 2007, the city signed a three-year agreement with a...

  4. Sample Documents for On-Site Renewable Power Purchase Agreements

    Broader source: Energy.gov [DOE]

    The Federal Energy Management Program (FEMP) works with federal agencies and partners to assemble sample documents from past on-site renewable power purchase agreement (PPA) projects to help streamline the PPA process.

  5. Request for Investigation or Inspection of Safety or Classified...

    Energy Savers [EERE]

    Request for Investigation or Inspection of Safety or Classified Information Security Violations Request for Investigation or Inspection of Safety or Classified Information Security...

  6. Department of Energy Cites Bechtel Jacobs for Classified Information...

    Office of Environmental Management (EM)

    Jacobs for Classified Information Security and Worker Safety and Health Violations Department of Energy Cites Bechtel Jacobs for Classified Information Security and Worker Safety...

  7. Classified Matter Protection and Control Manual

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

    2001-04-17T23:59:59.000Z

    This Manual supplements DOE O 471.2A, Information Security Program, and provides detailed requirements for the protection and control of classified matter. Cancels DOE M 471.2-1B except Chapter III paragraphs 1 and 2, and Chapter IV.

  8. Variational Gaussian Process Classifiers Mark N. Gibbs

    E-Print Network [OSTI]

    MacKay, David J.C.

    Variational Gaussian Process Classifiers Mark N. Gibbs Cavendish Laboratory Cambridge CB3 0HE United Kingdom David J.C. MacKay \\Lambda Cavendish Laboratory Cambridge CB3 0HE United Kingdom Submitted­linear interpolation tool (Williams 1995; Williams and Rasmussen 1996), but it is not straightforward to solve

  9. A Novel Distancebased Classifier Using Convolution

    E-Print Network [OSTI]

    Yeung, Dit-Yan

    of dimensionality are two central issues in pattern classification. Methods that are based on multivariate analysis­nearest­neighbor classifiers have to rely on a metric or distance measure between points in the input space. For many applications, Euclidean distance in the input space is not a good choice and hence more complicated distance

  10. Control of Classified Documents and Information

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

    1980-11-24T23:59:59.000Z

    This Order provides guidance relative to the safeguarding and control of classified documents and information. It implements the requirements of Executive Order 12065, the Atomic Energy Act of 1954, as amended, and other applicable statutes. Chg 1 dated 4-14-81. Canceled by DOE O 5635.1A dated 2-12-88.

  11. TRS-Fiber Optic Classifier Sensor Installation

    E-Print Network [OSTI]

    Prevedouros, Panos D.

    TRS-Fiber Optic Classifier Sensor Installation The sensor that the Traffic Recording System (TRS) uses is the Flexsense Portable Fiberoptic Sensor System by Optical Sensor Systems. This includes two is undetected by the TRS. The user must make sure that the sensors do not get bent or twisted or the fiber optic

  12. Air-Cooled Electric Chillers, Purchasing Specifications for Energy-Efficient Products (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-12-01T23:59:59.000Z

    Energy efficiency purchasing specifications for federal procurements of air-cooled electric chillers.

  13. Commercial Central Air Conditioners, Purchasing Specifications for Energy-Efficient Products (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-02-01T23:59:59.000Z

    Energy efficiency purchasing specifications for federal procurements of commercial central air conditioners.

  14. Residential Dishwashers, Purchasing Specifications for Energy-Efficient Products (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-06-01T23:59:59.000Z

    Performance and purchasing specifications for residential dishwashers under the FEMP-designated product program.

  15. Clothes Washers, Purchasing Specifications for Energy-Efficient Products (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-06-01T23:59:59.000Z

    Performance and purchasing specifications for residential clothes washers under the FEMP-designated product program.

  16. A note on testing for purchasing power parity Florian Heinen1

    E-Print Network [OSTI]

    Weber, Stefan

    A note on testing for purchasing power parity Florian Heinen1 Institute of Statistics, Faculty data transformation · Purchasing Power Parity 1 Introduction Purchasing power parity (PPP) is arguably] instinctively believe in some variant of purchasing power parity as an anchor for long-run real exchange rates

  17. Commercial Gas Water Heaters, Purchasing Specifications for Energy-Efficient Products (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-09-01T23:59:59.000Z

    Performance and purchasing specifications for commercial gas water heaters under the FEMP-designated product program.

  18. Disassembly and Sanitization of Classified Matter

    SciTech Connect (OSTI)

    Stockham, Dwight J.; Saad, Max P. [Sandia National Laboratories, P.O. Box 5800-1151, Albuquerque, NM, 87185 (United States)

    2008-01-15T23:59:59.000Z

    The Disassembly Sanitization Operation (DSO) process was implemented to support weapon disassembly and disposition by using recycling and waste minimization measures. This process was initiated by treaty agreements and reconfigurations within both the DOD and DOE Complexes. The DOE is faced with disassembling and disposing of a huge inventory of retired weapons, components, training equipment, spare parts, weapon maintenance equipment, and associated material. In addition, regulations have caused a dramatic increase in the need for information required to support the handling and disposition of these parts and materials. In the past, huge inventories of classified weapon components were required to have long-term storage at Sandia and at many other locations throughout the DoE Complex. These materials are placed in onsite storage unit due to classification issues and they may also contain radiological and/or hazardous components. Since no disposal options exist for this material, the only choice was long-term storage. Long-term storage is costly and somewhat problematic, requiring a secured storage area, monitoring, auditing, and presenting the potential for loss or theft of the material. Overall recycling rates for materials sent through the DSO process have enabled 70 to 80% of these components to be recycled. These components are made of high quality materials and once this material has been sanitized, the demand for the component metals for recycling efforts is very high. The DSO process for NGPF, classified components established the credibility of this technique for addressing the long-term storage requirements of the classified weapons component inventory. The success of this application has generated interest from other Sandia organizations and other locations throughout the complex. Other organizations are requesting the help of the DSO team and the DSO is responding to these requests by expanding its scope to include Work-for- Other projects. For example, Pantex personnel have asked the DSO team to assist them with the destruction of their stored classified components. The DSO process is in full-scale operation and continues to grow and serve SNL/NM and DOE by providing a solution to this evolving disposal issue. For some time, SNL has incurred significant expenses for the management and storage of classified components. This project is estimated to save DOE and Sandia several hundreds of thousands of dollars while the excess inventory is eliminated. This innovative approach eliminates the need for long-term storage of classified weapons components and the associated monitoring and accounting expenditures.

  19. V 1.0 April 27, 2011 Classified Human Resources

    E-Print Network [OSTI]

    Sheridan, Jennifer

    V 1.0 April 27, 2011 Classified Human Resources Policies and Procedures for Classified Employees, 2011 Classified Human Resources Policies and Procedures for Classified Employees Page 2 of 7 Chapter 7. Information for Supervisors Consult with your Human Resources Representative as soon as you have any concern

  20. Semantic Features for Classifying Referring Search Terms

    SciTech Connect (OSTI)

    May, Chandler J.; Henry, Michael J.; McGrath, Liam R.; Bell, Eric B.; Marshall, Eric J.; Gregory, Michelle L.

    2012-05-11T23:59:59.000Z

    When an internet user clicks on a result in a search engine, a request is submitted to the destination web server that includes a referrer field containing the search terms given by the user. Using this information, website owners can analyze the search terms leading to their websites to better understand their visitors needs. This work explores some of the features that can be used for classification-based analysis of such referring search terms. We present initial results for the example task of classifying HTTP requests countries of origin. A system that can accurately predict the country of origin from query text may be a valuable complement to IP lookup methods which are susceptible to the obfuscation of dereferrers or proxies. We suggest that the addition of semantic features improves classifier performance in this example application. We begin by looking at related work and presenting our approach. After describing initial experiments and results, we discuss paths forward for this work.

  1. MAST 1 purchased products--components. Final report

    SciTech Connect (OSTI)

    Brown, R.J.

    1995-10-01T23:59:59.000Z

    AlliedSignal Inc., Kansas City Division, the production agency, was provided with funding to acquire purchased product components in support of the MAST (Multi-Application Surety Technology) Program. Implementation efforts, closing procurement status, and proposals for improvements in the procurement process are presented. The intent of this project was to fund the Purchased Product Team`s traditional procurement of components, with significantly reduced flowtime, in accordance with the Qualification Evaluation System, and to exercise the system to the extent possible. When funding was reduced, it became obvious that full implementation of the Qualification Evaluation System could not be achieved due to limited resources.

  2. Classified Matter Protection and Control Manual

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

    2004-07-14T23:59:59.000Z

    This Manual supplements DOE O 471.2A, Information Security Program, dated 3-27-97, and provides detailed requirements for the protection and control of classified matter. Cancels DOE M 471.2-1B, dated 1-6-99, except Chapter III paragraphs 1 and 2 and Chapter IV. DOE M 471.2-1B Chapter IV was canceled by DOE O 471.4, Incidents of Security Concern, dated 3-17-04. Change 1, dated 7-14-2004, modifies requirements in Chapter II, paragraph 8c. Extended until 5-11-06 by DOE N 251.63, dated 5-11-05.

  3. Classified Matter Protection and Control Manual

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

    1999-01-06T23:59:59.000Z

    Provides detailed requirements for the protection and control of classified matter which supplement DOE O 471.2A. Extended until 5-11-06 by DOE N 251.63, dated 5-11-05. This manual has been canceled by DOE M 471.2-1C except Chapter III paragraphs 1 and 2, and Chapter IV. Chapter IV was canceled by DOE O 471.4, Incidents of Security Concern, dated 3/17/2004. Cancels DOE M 471.2-1A.

  4. STANDARD TERMS OF PURCHASE APPLICABLE TO SUPPLY AND SERVICES CONTRACTS

    E-Print Network [OSTI]

    Chamroukhi, Faicel

    STANDARD TERMS OF PURCHASE APPLICABLE TO SUPPLY AND SERVICES CONTRACTS ENTERED INTO BY SUD TOULON and its co-contracting parties for all government supplies and services contracts entered into pursuant supply and services contracts in its version annexed to the Decree of 19 January 2009 approving

  5. Business and Finance Purchasing Policy #2.21

    E-Print Network [OSTI]

    or vice presidential area, by the director of purchasing, subject to certain responsibilities insofar as state or federal statute and institutional policy permit. 5. Conduct business with potential, insofar as the established policies of my institution permit. 9. Accord a prompt and courteous reception

  6. Main Campus Emissions In 2007, Yale purchased the

    E-Print Network [OSTI]

    Main Campus Emissions In 2007, Yale purchased the Bayer Pharmaceutical campus to expand the University's science and medical research. The 2005 baseline represents emissions when Bayer was operating,899 4,623 31,280 39,260 MAIN CAMPUS EMISSIONS WEST CAMPUS EMISSIONS 2014 2005 2014 2005 University Fleet

  7. UV Pasteurization of Cider USDA Apple Juice Purchases

    E-Print Network [OSTI]

    Ginzel, Matthew

    1 UV Pasteurization of Cider USDA Apple Juice Purchases New Zealand Tour Pruning Grapes Pruning Referendum Child Labor Restrictions 2000 Spray Guides New Bramble Publication Imidan Under Threat Return December and by late January had set in solidly. Sub-zero temperatures were reported across the northern

  8. Title: Purchasing --University Bidding Policy Code: 5-400-005

    E-Print Network [OSTI]

    Huang, Jianyu

    Purchasing's scope of operation, the qualification of potential bidders, the solicitation and analysis manufacturer, or a sole or preferred source as the supplier of a product or service that must be bid justification for the request, including evaluations of the product or service and the supplier

  9. Order Code RL33494 Security Classified and Controlled Information

    E-Print Network [OSTI]

    Laughlin, Robert B.

    Order Code RL33494 Security Classified and Controlled Information: History, Status, and Emerging Government and Finance Division #12;Security Classified and Controlled Information: History, Status in the creation, management, and declassification of national security information followed over the succeeding

  10. Acceptance of Classified Excess Components for Disposal at Area 5

    SciTech Connect (OSTI)

    Poling, Jeanne [National Security Technologies, LLC (United States); Saad, Max [Sandia National Lab., NM (United States)

    2012-04-09T23:59:59.000Z

    This slide-show discusses weapons dismantlement and disposal, issues related to classified waste and their solutions.

  11. CLASSIFY-Profiles: Volume 2, Commercial and industrial customer needs and energy decision making. Final report

    SciTech Connect (OSTI)

    McRae, M.; Brown, J. [eds.] [Barakat and Chamberlin, Inc., Oakland, CA (United States); Berigan, J.; Lineweber, D.; Finkbeiner, C. [National Analysts, Inc., Philadelphia, PA (United States)

    1995-04-01T23:59:59.000Z

    Efficient promotion of utility products and services is best achieved by a commitment to customer-focused market-driven strategies. EPRI`s CLASSIFY System provides utilities with the information, methods, and tools required to develop an in-depth understanding of customer attitudes toward end-use technologies, industrial processes, and their applications. This guide presents an overview of commercial and industrial customer needs and describes nine target markets, as defined by 22 key customer needs related to business strategies,.business operations, and energy operations. Target markets include: Proactives, Innovators, Dependents, Utilitarians, Conservatives, Self-Reliants, Status Quos, Besieged, and Survivors. For these segments, end-use profiles illustrate 24 technology-related factors that influence customer purchasing decisions and usage patterns. Illustrative examples show how to use Commercial and Industrial CLASSIFY-Profiles in developing and deploying customer-driven products, programs, and services. Volume I of this report presents residential customer needs information. Volume 3 provides an assessment of trade ally needs and their influence on utility customer decisions.

  12. FEMP Offers Training on Federal On-Site Renewable Power Purchase...

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

    Training on Federal On-Site Renewable Power Purchase Agreements FEMP Offers Training on Federal On-Site Renewable Power Purchase Agreements March 30, 2015 - 2:16pm Addthis The U.S....

  13. Purchasing and Materials Management Organization, Sandia National Laboratories annual report, fiscal year 1993

    SciTech Connect (OSTI)

    Martin, D.R.

    1994-02-01T23:59:59.000Z

    This report summarizes the purchasing and transportation activities of the Purchasing and Materials Management Organization for Fiscal Year 1993. Activities for both the New Mexico and California locations are included.

  14. WHEELS: A CONVERSATIONAL SYSTEM IN THE AUTOMOBILE CLASSIFIEDS DOMAIN

    E-Print Network [OSTI]

    WHEELS: A CONVERSATIONAL SYSTEM IN THE AUTOMOBILE CLASSIFIEDS DOMAIN Helen Meng, Senis WHEELS is a conversational system which provides access to a database of eletronic automobile classified users to search through a database of 5,000 automobile classifieds. The current end-to-end system can re

  15. Classifying supernovae using only galaxy data

    SciTech Connect (OSTI)

    Foley, Ryan J. [Astronomy Department, University of Illinois at Urbana-Champaign, 1002 West Green Street, Urbana, IL 61801 (United States); Mandel, Kaisey [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States)

    2013-12-01T23:59:59.000Z

    We present a new method for probabilistically classifying supernovae (SNe) without using SN spectral or photometric data. Unlike all previous studies to classify SNe without spectra, this technique does not use any SN photometry. Instead, the method relies on host-galaxy data. We build upon the well-known correlations between SN classes and host-galaxy properties, specifically that core-collapse SNe rarely occur in red, luminous, or early-type galaxies. Using the nearly spectroscopically complete Lick Observatory Supernova Search sample of SNe, we determine SN fractions as a function of host-galaxy properties. Using these data as inputs, we construct a Bayesian method for determining the probability that an SN is of a particular class. This method improves a common classification figure of merit by a factor of >2, comparable to the best light-curve classification techniques. Of the galaxy properties examined, morphology provides the most discriminating information. We further validate this method using SN samples from the Sloan Digital Sky Survey and the Palomar Transient Factory. We demonstrate that this method has wide-ranging applications, including separating different subclasses of SNe and determining the probability that an SN is of a particular class before photometry or even spectra can. Since this method uses completely independent data from light-curve techniques, there is potential to further improve the overall purity and completeness of SN samples and to test systematic biases of the light-curve techniques. Further enhancements to the host-galaxy method, including additional host-galaxy properties, combination with light-curve methods, and hybrid methods, should further improve the quality of SN samples from past, current, and future transient surveys.

  16. Policy Title: Purchasing Card HARVARD UNIVERSITY FINANCIAL POLICY Responsible Office: UFS

    E-Print Network [OSTI]

    Policy Title: Purchasing Card HARVARD UNIVERSITY FINANCIAL POLICY Responsible Office: UFS Effective Date: April 1, 2010 Revision Date:PURCHASING CARD Policy Number: UFS100 HARVARD UNIVERSITY FINANCIAL POLICY POLICY STATEMENT Harvard Purchasing Cards (PCards) are University-liability credit cards issued

  17. P:\\Policy & Procedures\\OSUA\\OSUA #2-purchasing.doc Office of Space Utilization & Analysis

    E-Print Network [OSTI]

    Fernandez, Eduardo

    AND PURPOSE: To establish a standard procedure for purchasing computers and computer related equipment. It is the responsibility of the Maintenance Contractor to purchase the current version of the operating system softwareP:\\Policy & Procedures\\OSUA\\OSUA #2-purchasing.doc Office of Space Utilization & Analysis Policy

  18. International Conference of the Centennial Anniversary of the Purchasing Power of Money by Irving Fisher

    E-Print Network [OSTI]

    Boyer, Edmond

    International Conference of the Centennial Anniversary of the Purchasing Power of Money monétaires en économie ouverte. When French economists read The Purchasing Power of Money "International Conference of the Centennial Anniversary of the Purchasing Power of Money by Irving Fisher, Lyon

  19. Long Run Purchasing Power Parity: Cassel or Balassa-Samuelson? David H. Papell and Ruxandra Prodan

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    Long Run Purchasing Power Parity: Cassel or Balassa-Samuelson? David H. Papell and Ruxandra Prodan countries to investigate two alternative versions of Purchasing Power Parity (PPP): reversion to a constant (713) 743-3798, email: dpapell@mail.uh.edu #12;1 1. Introduction Purchasing Power Parity (PPP) is one

  20. Vehicle Purchases In accordance with the Energy Policy Act of 2005 (EPAct 2005), Florida Atlantic University

    E-Print Network [OSTI]

    Fernandez, Eduardo

    Vehicle Purchases In accordance with the Energy Policy Act of 2005 (EPAct 2005), Florida Atlantic University has been mandated to purchase "E85" compliant flex-fuel vehicles. This is federally mandated campuses. Vehicles purchased for the university must comply with this mandate. E85 compliant vehicles

  1. Optimal purchasing of raw materials: A data-driven approach

    SciTech Connect (OSTI)

    Muteki, K.; MacGregor, J.F. [McMaster University, Hamilton, ON (Canada). Dept. of Chemical Engineering

    2008-06-15T23:59:59.000Z

    An approach to the optimal purchasing of raw materials that will achieve a desired product quality at a minimum cost is presented. A PLS (Partial Least Squares) approach to formulation modeling is used to combine databases on raw material properties and on past process operations and to relate these to final product quality. These PLS latent variable models are then used in a sequential quadratic programming (SQP) or mixed integer nonlinear programming (MINLP) optimization to select those raw-materials, among all those available on the market, the ratios in which to combine them and the process conditions under which they should be processed. The approach is illustrated for the optimal purchasing of metallurgical coals for coke making in the steel industry.

  2. PEPCO study compares utility materials, inventory, purchasing practices

    SciTech Connect (OSTI)

    Not Available

    1985-10-01T23:59:59.000Z

    A comparison of Potomac Electric Power Co. (PEPCO) materials operations with those of eight similar companies showed that, while most have a formal materials group with stated functions, there was no consensus on organization. The study found inadequate warehousing facilities because stores were generally omitted from plant design and later crowded into unwanted space. Most did have central warehousing for transmission and distribution facilities. The companies have purchasing and contract managers, but vendor performance follow up is a problem. Two approaches to vendor bid evaluation have either the user or purchasing make the decision. There was little consistency in inventory control. The study also found that an investment recovery specialist handles most scrap sales, computers are in wide use in material groups, and most utilities evaluate transformer losses over the total life cycle. 2 tables.

  3. EECBG Direct Equipment Purchase Air Conditioner Guide Equipment Type

    E-Print Network [OSTI]

    EECBG Direct Equipment Purchase Air Conditioner Guide Equipment Type Size Category (Btu/h) Size.ahridirectory.org/ceedirectory/pages/ac/cee/defaultSearch.aspx 12,000 Btu/h = 1 ton Less than 65,000 Btu/h Air Conditioners, Air Cooled Air Conditioners, Water completed by the California Energy Commission at a rate of 12,000 Btu/h per ton of air conditioning Source

  4. Please purchase 'e-PDF Creator' on http://www.e-pdfconverter.com to remove this message. Please purchase 'e-PDF Creator' on http://www.e-pdfconverter.com to remove this message.

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Please purchase 'e-PDF Creator' on http://www.e-pdfconverter.com to remove this message. #12;Please purchase 'e-PDF Creator' on http://www.e-pdfconverter.com to remove this message. #12;Please purchase 'e-PDF Creator' on http://www.e-pdfconverter.com to remove this message. #12;Please purchase 'e-PDF Creator

  5. Fact Sheet Preliminary Notice of Violation: Classified Information...

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

    to Sandia Corporation (Sandia) for violations of Department of Energy (DOE) classified information security program requirements. Sandia is the management and operating...

  6. Fact Sheet Preliminary Notice of Violation: Classified Information...

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

    National Security, LLC (LANS) for violations of Department of Energy (DOE) classified information security program requirements. LANS is the management and operating contractor...

  7. A Probabilistic Approach to Classifying Supernovae Using Photometric Information

    E-Print Network [OSTI]

    Kuznetsova, Natalia V.; Connolly, Brian M.

    2008-01-01T23:59:59.000Z

    ciency of selecting type Ia supernovae for p cut = 0.98 (weApproach to Classifying Supernovae Using Photometricstudies). Subject headings: supernovae: general Introduction

  8. Extending purchasing with document management, workflow and the internet

    SciTech Connect (OSTI)

    SIMPSON,SUZANNE L.; PERICH,JULIE K.

    2000-02-09T23:59:59.000Z

    Sandia is a national security laboratory operated for the U.S. department of Energy by the Sandia Corporation, a Lockheed Martin Company. Sandia designs all non-nuclear components for the nation's nuclear weapons, performs a wide variety of energy research and development projects, and works on assignments that respond to national security threats - both military and economic. They encourage and seek partnerships with appropriate U.S. industry and government groups to collaborate on emerging technologies that support their mission. Today, Sandia has two primary facilities, one in Albuquerque, New Mexico, and one in Livermore, California. They employ about 7,600 people and manage about $1.4 billion of work per year. In 1995, a decision was made to move from their in-house developed systems to commercial software. This decision was driven partly by Y2K compliance issues associated with the existing operating system and support environment. Peoplesoft was selected for human resources and Oracle for manufacturing and financial. They implemented Peoplesoft for human resources (HR) in 1997. They then implemented 7 Oracle modules in manufacturing in October 1998, including WIP, BOM, engineering, quality, inventory, MRP, cost management and limited HR/purchasing/receiving functionality required to support manufacturing. In March of 1999, they brought a portion of their Projects module up to allow for input of project/task information by their line customers and on October 1, 1999, they went live with the fill-blown financial package. They implemented projects, GL, receivables, payables, purchasing, assets and incorporated manufacturing modules and HR. This paper will discuss the analysis and implementation of the purchasing module.

  9. Power Purchase Agreement Checklist for State and Local Governments

    SciTech Connect (OSTI)

    Cory, K.; Canavan, B.; Koenig, R.

    2009-10-01T23:59:59.000Z

    This fact sheet provides information and guidance on the solar photovoltaic (PV) power purchase agreement (PPA), which is a financing mechanism that state and local government entities can use to acquire clean, renewable energy. It addressed the financial, logistical, and legal questions relevant to implementing a PPA, but we do not examine the technical details?those can be discussed later with the developer/contractor. This fact sheet is written to support decision makers in U.S. state and local governments who are aware of solar PPAs and may have a cursory knowledge of their structure but they still require further information before committing to a particular project.

  10. Contractor Purchasing Balanced Scorecard for FY 2012 | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T, Inc.'sEnergyTexas1.SpaceFluor FederalEnergy ContractContractorPurchasing

  11. Quick Guide: Power Purchase Agreements | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMay 2015 < prevQuick Guide: Power Purchase Agreements Quick Guide: Power

  12. CLASSIFYING AGRICULTURAL LAND IN AN URBAN LANDSCAPE WITH APPLICATION

    E-Print Network [OSTI]

    CLASSIFYING AGRICULTURAL LAND IN AN URBAN LANDSCAPE WITH APPLICATION TO WATERFOWL CONSERVATION: Master of Resource Management Title of Research Project: Classifying Agricultural Land in an Urban to remotely sense agricultural lands and demonstrates how the results can be used for waterfowl conservation

  13. Data Mining in Learning Classifier Systems: Comparing XCS with GAssist

    E-Print Network [OSTI]

    Bacardit, Jaume

    Data Mining in Learning Classifier Systems: Comparing XCS with GAssist Jaume Bacardit and Martin V) 333­2346 Fax: (217) 244­5705 #12; Data Mining in Learning Classifier Systems: Comparing XCS be distinguished in data mining including data volume, search space size and type, complexity of the concept, noise

  14. Small Wind Guidebook/Things to Consider When Purchasing a Small...

    Open Energy Info (EERE)

    Small Wind GuidebookThings to Consider When Purchasing a Small Wind Turbine < Small Wind Guidebook Jump to: navigation, search Print PDF WIND ENERGY STAKEHOLDER ENGAGEMENT &...

  15. Table 23. Domestic Crude Oil First Purchase Prices by API Gravity

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

    data reported. Source: Energy Information Administration, Form EIA-182, "Domestic Crude Oil First Purchase Report." Energy Information Administration Petroleum Marketing Annual...

  16. Table 23. Domestic Crude Oil First Purchase Prices by API Gravity

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

    12.17 12.80 Source: Energy Information Administration, Form EIA-182, "Domestic Crude Oil First Purchase Report." Energy Information AdministrationPetroleum Marketing Annual...

  17. Table 23. Domestic Crude Oil First Purchase Prices by API Gravity

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

    17.18 17.64 Source: Energy Information Administration, Form EIA-182, "Domestic Crude Oil First Purchase Report." Energy Information AdministrationPetroleum Marketing Annual...

  18. DOE to Issue Second Solicitation for Purchase of Crude Oil for...

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

    second of several solicitations planned to purchase up to four million barrels of crude oil for the United States' crude oil reserve. The first solicitation, issued March 16,...

  19. Training a Large Scale Classifier with the Quantum Adiabatic Algorithm

    E-Print Network [OSTI]

    Hartmut Neven; Vasil S. Denchev; Geordie Rose; William G. Macready

    2009-12-04T23:59:59.000Z

    In a previous publication we proposed discrete global optimization as a method to train a strong binary classifier constructed as a thresholded sum over weak classifiers. Our motivation was to cast the training of a classifier into a format amenable to solution by the quantum adiabatic algorithm. Applying adiabatic quantum computing (AQC) promises to yield solutions that are superior to those which can be achieved with classical heuristic solvers. Interestingly we found that by using heuristic solvers to obtain approximate solutions we could already gain an advantage over the standard method AdaBoost. In this communication we generalize the baseline method to large scale classifier training. By large scale we mean that either the cardinality of the dictionary of candidate weak classifiers or the number of weak learners used in the strong classifier exceed the number of variables that can be handled effectively in a single global optimization. For such situations we propose an iterative and piecewise approach in which a subset of weak classifiers is selected in each iteration via global optimization. The strong classifier is then constructed by concatenating the subsets of weak classifiers. We show in numerical studies that the generalized method again successfully competes with AdaBoost. We also provide theoretical arguments as to why the proposed optimization method, which does not only minimize the empirical loss but also adds L0-norm regularization, is superior to versions of boosting that only minimize the empirical loss. By conducting a Quantum Monte Carlo simulation we gather evidence that the quantum adiabatic algorithm is able to handle a generic training problem efficiently.

  20. Developing a gas purchasing strategy using a linear model

    SciTech Connect (OSTI)

    Alst, K.M. Van [Midland Cogeneration Venture Limited Partnership, Midland, MI (United States)

    1995-12-31T23:59:59.000Z

    This paper outlines the process of developing a gas purchasing strategy with the use of a linear programming model. The linear model is used to determine the least cost approach regarding the acquisition of natural gas which has a considerable impact on the company`s financial performance. The author discusses the importance of optimizing gas costs from an end-user`s perspective. The Midland Cogeneration Venture (MCV) is the country`s largest cogeneration facility. The Facility has been certified by FERC (Federal Energy Regulatory Commission) as a Q.F. (Qualifying Facility) under PURPA (Public Utility Regulatory Policies Act of 1978). Unlike utilities, who have the ability to pass costs through to customers, MCV`s revenues are based on long-term contracts with its utility and industrial customers. Therefore, MCV cannot pass costs through to its customers. As such, effectively managing costs is vital to the success of the company.

  1. Security Requirements for Classified Automatic Data Processing Systems

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

    1985-07-10T23:59:59.000Z

    To establish and describe the computer security program for classified automatic data processing (ADP) systems at the Department of Energy (DOE) Headquarters. This directive does not cancel another directive. Canceled by DOE N 251.9.

  2. Meta learning of bounds on the Bayes classifier error

    E-Print Network [OSTI]

    Moon, Kevin R; Hero, Alfred O

    2015-01-01T23:59:59.000Z

    Meta learning uses information from base learners (e.g. classifiers or estimators) as well as information about the learning problem to improve upon the performance of a single base learner. For example, the Bayes error rate of a given feature space, if known, can be used to aid in choosing a classifier, as well as in feature selection and model selection for the base classifiers and the meta classifier. Recent work in the field of f-divergence functional estimation has led to the development of simple and rapidly converging estimators that can be used to estimate various bounds on the Bayes error. We estimate multiple bounds on the Bayes error using an estimator that applies meta learning to slowly converging plug-in estimators to obtain the parametric convergence rate. We compare the estimated bounds empirically on simulated data and then estimate the tighter bounds on features extracted from an image patch analysis of sunspot continuum and magnetogram images.

  3. Buying in a volatile market: variable or fixed price? Professor of Purchasing Management

    E-Print Network [OSTI]

    Vellekoop, Michel

    , in markets like money, stock or oil markets; sometimes they are rather lengthy, in markets like the steelBuying in a volatile market: variable or fixed price? Jan Telgen Professor of Purchasing Management Many commodities are bought in a volatile market, where the purchasing price changes constantly

  4. Sourcing team success: Team studies in a purchasing and supply management context

    E-Print Network [OSTI]

    Franssen, Michael

    1 Sourcing team success: Team studies in a purchasing and supply management context Dissertation by Boudewijn A. Driedonks Summary Sourcing teams have become an increasingly important form of organization in purchasing and supply management. Sourcing teams, also referred to as category or commodity teams

  5. Bill of materials Table 1 lists significant items purchased in the construction of the prosthesis testbed.

    E-Print Network [OSTI]

    Collins, Steven H.

    Bill of materials Table 1 lists significant items purchased in the construction of the prosthesis Marine Universal prosthesis adapter (titanium) 1 FND-227014 Ohio Willow Wood Series springs purchased in the construction of the prosthesis testbed. Stock materials (e.g. aluminum bars, steel shafts

  6. SUPPLEMENTARY METHODS AND FIGURES Enzymes: Asp-N endoproteinase was purchased from Roche Applied Science (Mannheim,

    E-Print Network [OSTI]

    Palczewski, Krzysztof

    spectrometry-grade trypsin by Promega (Madison, WI). Phusion high-fidelity polymerase was purchased from New). OPTI-FLUOR scintillation liquid was obtained from PerkinElmer (Shelton, CT). Alumina was purchased from, Sweden). The scintillation counter model LS 6500 was furnished by Beckman Coulter (Fullerton, CA

  7. Bowling Green State University University Policy on Purchasing, Sales and Disposal of

    E-Print Network [OSTI]

    Moore, Paul A.

    Bowling Green State University University Policy on Purchasing, Sales and Disposal of University and Administration, or his/her designee. #12;Bowling Green State University University Policy on Purchasing, Sales contracts, Inter-University Council contracts, Bowling Green State University contracts or other

  8. On-Site Renewable Power Purchase Agreements for Renewable Energy Projects

    Broader source: Energy.gov [DOE]

    An on-site renewable power purchase agreement (PPA) enables Federal agencies to fund a renewable energy project by contracting to purchase the power generated by the system. The renewable energy equipment is installed and owned by a developer but located on-site at the agency facility.

  9. Create PDF files without this message by purchasing novaPDF printer (http://www.novapdf.com) Create PDF files without this message by purchasing novaPDF printer (http://www.novapdf.com)

    E-Print Network [OSTI]

    Barthelat, Francois

    Create PDF files without this message by purchasing novaPDF printer (http://www.novapdf.com) #12; Create PDF files without this message without this message by purchasing novaPDF printer (http://www.novapdf.com) #12

  10. Proposal for the award of a blanket purchase contract for the supply and maintenance of high-performance Ethernet switches

    E-Print Network [OSTI]

    2014-01-01T23:59:59.000Z

    Proposal for the award of a blanket purchase contract for the supply and maintenance of high-performance Ethernet switches

  11. Proposal for the award of a blanket purchase contract for the supply and maintenance of light vehicles

    E-Print Network [OSTI]

    2014-01-01T23:59:59.000Z

    Proposal for the award of a blanket purchase contract for the supply and maintenance of light vehicles

  12. Innovative use of DSP technology in space: FORTE event classifier

    SciTech Connect (OSTI)

    Briles, S.; Moore, K. Jones, R.; Klingner, P.; Neagley, D.; Caffrey, M.; Henneke, K.; Spurgen, W. [Los Alamos National Lab., NM (United States); Blain, P. [EG and G Idaho, Inc., Idaho Falls, ID (United States)

    1994-08-01T23:59:59.000Z

    The Fast On-Orbit Recording of Transient Events (FORTE) small satellite will field a digital signal processor (DSP) experiment for the purpose of classifying radio-frequency (rf) transient signals propagating through the earth`s ionosphere. Designated the Event Classifier experiment, this DSP experiment uses a single Texas Instruments` SMJ320C30 DSP to execute preprocessing, feature extraction, and classification algorithms on down-converted, digitized, and buffered rf transient signals in the frequency range of 30 to 300 MHz. A radiation-hardened microcontroller monitors DSP- abnormalities and supervises spacecraft command communications. On- orbit evaluation of multiple algorithms is supported by the Event Classifier architecture. Ground-based commands determine the subset and sequence of algorithms executed to classify a captured time series. Conventional neural network classification algorithms will be some of the classification techniques implemented on-board FORTE while in a low-earth orbit. Results of all experiments, after being stored in DSP flash memory, will be transmitted through the spacecraft to ground stations. The Event Classifier is a versatile and fault-tolerant experiment that is an important new space-based application of DSP technology.

  13. Experimental Evaluation of Performance Improvements in Abductive Network Classifiers with Problem Decomposition

    E-Print Network [OSTI]

    Abdel-Aal, Radwan E.

    1 Experimental Evaluation of Performance Improvements in Abductive Network Classifiers with Problem by problem decomposition for abductive network classifiers that classify four noisy waveform patterns having decomposition method and significantly superior to an abductive network committee approach. Index Terms

  14. The inspection of power purchase contracts at the Western Area Power Administration

    SciTech Connect (OSTI)

    NONE

    1995-05-01T23:59:59.000Z

    The Office of Inspector General received an allegation regarding possible irregularities in certain power purchase contracts awarded by the Western Area Power Administration (WAPA). Based on our survey of WAPA`s power purchase procedures, we expanded our allegation based inquiry to include several management issues. Thus, the purpose of this inspection was to review the specific allegation as well as to evaluate WAPA`s power purchase contracting procedures relating to competition, the documentation of the solicitation, negotiation, and award processes, and the determination of the reasonableness of the rates negotiated by WAPA.

  15. Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs

    E-Print Network [OSTI]

    Brefeld, Ulf

    Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs Peter Geibel, Ulf costs into ac- count or allow only costs depending on the classes of the examples that are used for learning. As an extension of class dependent costs, we con- sider costs that are example, i.e. feature

  16. Distributed and Efficient Classifiers for Wireless Audio-Sensor Networks

    E-Print Network [OSTI]

    Nascimento, Mario A.

    efficient in terms of communication overhead. Index Terms--Sensors, Acoustic Classification, Features Selec evaluation results in terms of classification ac- curacy and energy expenditure trade-offs. Finally, SectionDistributed and Efficient Classifiers for Wireless Audio-Sensor Networks Baljeet Malhotra

  17. Classifying ITIL Processes A Taxonomy under Tool Support Aspects

    E-Print Network [OSTI]

    Classifying ITIL Processes A Taxonomy under Tool Support Aspects Michael Brenner Munich Network to this issue have been gaining popularity, especially the guidelines of the IT Infrastructure Library (ITIL) for IT Service Management business processes. But just like with most other business processes, implementing ITIL

  18. Classifying Web Search Queries to Identify High Revenue Generating Customers

    E-Print Network [OSTI]

    Jansen, James

    searching, the set of terms for which a user searches is called the query. If a user enters a query and then clicks on a result, these query terms are embedded within the URL that is passed from the search engineClassifying Web Search Queries to Identify High Revenue Generating Customers Adan Ortiz-Cordova 329

  19. Classifying Human-Robot Interaction: An Updated Taxonomy*

    E-Print Network [OSTI]

    Yanco, Holly A.

    Classifying Human-Robot Interaction: An Updated Taxonomy* Holly A. Yanco Computer Science-7803-8566-7/04/$20.00 2004 IEEE. Abstract - This paper extends a taxonomy of human- robot interaction (HRI) introduced taxonomy. New classifications include measures of the social nature of the task (human interaction roles

  20. A New Classifier Based on Resource Limited Artificial Immune Systems

    E-Print Network [OSTI]

    Kent, University of

    A New Classifier Based on Resource Limited Artificial Immune Systems Andrew Watkins Computing, and the rock/metal classification problem for mine detection. I. INTRODUCTION Artificial Immune Systems classification system based on Artificial Immune Systems, with modest success [5]. In this paper, we introduce

  1. Melanoma Recognition Using Representative and Discriminative Kernel Classifiers

    E-Print Network [OSTI]

    Caputo, Barbara

    Melanoma Recognition Using Representative and Discriminative Kernel Classifiers Tatiana Tommasi1 caputo@nada.kth.se Abstract. Malignant melanoma is the most deadly form of skin lesion. Early diagnosis these algorithms against the (to our knowledge) state-of-the-art method on melanoma recognition, exploring how

  2. Classifying Web content for a corporate digital library Ian Thurlow

    E-Print Network [OSTI]

    Haddadi, Hamed

    Classifying Web content for a corporate digital library Ian Thurlow BT Abstract: The integration of relevant Web content into corporate digital libraries is expected to be of significant benefit when tools. The integration of Web content into a digital library, however, raises some concerns with regard

  3. Towards Characterizing and Classifying Communication-based Automotive Applications

    E-Print Network [OSTI]

    Perrig, Adrian

    Towards Characterizing and Classifying Communication-based Automotive Applications from a Wireless opportunity to develop various types of communication-based automotive applications. To date, many applications have been identified by the automotive community. Given the large number and diverse nature

  4. Data Mining in Learning Classifier Systems: Comparing XCS with GAssist

    E-Print Network [OSTI]

    Bacardit, Jaume

    Data Mining in Learning Classifier Systems: Comparing XCS with GAssist Jaume Bacardit1 and Martin V several structural properties of the underlying datasets. 1 Introduction Successful data mining mining including data volume, search space size and type, complexity of the concept, noise in the data

  5. Third Party Financing and Power Purchasing Agreements for Public Sector PV Projects

    Broader source: Energy.gov [DOE]

    Provides information on third-party financing and Power Purchase Agreements for public sector PV projects presented at the TAP Web Seminar on May 27, 2009, includes economic and legal information.

  6. Prediction Indicators for Voluntary Carbon-Offset Purchases Among Trail Runners

    E-Print Network [OSTI]

    Peterson, M. Nils

    & Corre, 2007). Activities funded by VCO purchases (e.g., reducing fuel wood requirements for a rural of extreme weather patterns, and rising sea levels may reduce global welfare by an amount equivalent

  7. Using MotorMaster to Track Motor Inventory and Analyze Purchasing Decisions

    E-Print Network [OSTI]

    Brown, M.; Meffort, W.

    2007-01-01T23:59:59.000Z

    maintenance actions and to analyze motor replacement options. The approach used to secure and enter motor nameplate data along with examples of purchasing analyses completed will be presented. The success of the MotorMaster software with large motors has...

  8. Time to Buy: Determining How Airfares Vary with Purchase Day of the Week

    E-Print Network [OSTI]

    Taylor, Lisa

    2012-02-14T23:59:59.000Z

    In this paper, I empirically identify a new source of price discrimination utilized by airlines, namely, price discrimination based on the day of the week a ticket is purchased. Using unique transaction data, I compare tickets that are identical...

  9. El Paso Electric Company- Small and Medium System Renewable Energy Certificate Purchase Program

    Broader source: Energy.gov [DOE]

    Effective January 1, 2010, El Paso Electric is purchasing renewable energy certificates (RECs) from its New Mexico customers who install small photovoltaic (PV) systems and wind systems up to 10...

  10. Purchasing Water-Efficient Faucets, Pre-Rinse Spray Valves, Showerheads, Toilets, and Urinals

    Broader source: Energy.gov [DOE]

    Federal agencies are required to purchase U.S. Environmental Protection Agency (EPA) WaterSense-labeled products where applicable. Faucets, pre-rinse spray valves, showerheads, toilets, and urinals are covered under the WaterSense program.

  11. Effects of purchase and presentation order on the valuation of physical and digital good bundles

    E-Print Network [OSTI]

    Duan, Tianzhou

    2014-01-01T23:59:59.000Z

    Many digital goods also come on physical mediums, such as movies and games on discs. We investigate how the order of purchase (buying a digital copy of a good already owned in physical form or vice versa) and order of ...

  12. Training a Binary Classifier with the Quantum Adiabatic Algorithm

    E-Print Network [OSTI]

    Hartmut Neven; Vasil S. Denchev; Geordie Rose; William G. Macready

    2008-11-04T23:59:59.000Z

    This paper describes how to make the problem of binary classification amenable to quantum computing. A formulation is employed in which the binary classifier is constructed as a thresholded linear superposition of a set of weak classifiers. The weights in the superposition are optimized in a learning process that strives to minimize the training error as well as the number of weak classifiers used. No efficient solution to this problem is known. To bring it into a format that allows the application of adiabatic quantum computing (AQC), we first show that the bit-precision with which the weights need to be represented only grows logarithmically with the ratio of the number of training examples to the number of weak classifiers. This allows to effectively formulate the training process as a binary optimization problem. Solving it with heuristic solvers such as tabu search, we find that the resulting classifier outperforms a widely used state-of-the-art method, AdaBoost, on a variety of benchmark problems. Moreover, we discovered the interesting fact that bit-constrained learning machines often exhibit lower generalization error rates. Changing the loss function that measures the training error from 0-1 loss to least squares maps the training to quadratic unconstrained binary optimization. This corresponds to the format required by D-Wave's implementation of AQC. Simulations with heuristic solvers again yield results better than those obtained with boosting approaches. Since the resulting quadratic binary program is NP-hard, additional gains can be expected from applying the actual quantum processor.

  13. Facial Expression Recognition Based on The Belief Theory: Comparison With Different Classifiers

    E-Print Network [OSTI]

    Dupont, Stéphane

    Copernic, B-7000, Mons, Belgium Abstract. This paper presents a system for classifying facial expressions

  14. BERG, BELHUMEUR: TOM-VS-PETE CLASSIFIERS AND IDENTITY-PRESERVING ALIGNMENT 1 Tom-vs-Pete Classifiers and Identity-Preserving

    E-Print Network [OSTI]

    Kim, Tae-Kyun

    BERG, BELHUMEUR: TOM-VS-PETE CLASSIFIERS AND IDENTITY-PRESERVING ALIGNMENT 1 Tom these "Tom-vs-Pete" classifiers to stress their binary nature. We assemble a collection of these classifiers. To distinguish images of Stephen Fry and Brad Pitt, the best feature might be "crooked nose." With a sufficiently

  15. Procurement Office, The University of Edinburgh, Charles Stewart House, 9-16 Chambers Street, Edinburgh, EH1 1HT PURCHASE OF SERVICES

    E-Print Network [OSTI]

    Schnaufer, Achim

    & Conditions relating to the purchase of Services. Contract means the agreement constituted by the Supplier

  16. Methods for characterizing, classifying, and identifying unknowns in samples

    DOE Patents [OSTI]

    Grate, Jay W.; Wise, Barry M.

    2003-08-12T23:59:59.000Z

    Disclosed is a method for taking the data generated from an array of responses from a multichannel instrument, and determining the characteristics of a chemical in the sample without the necessity of calibrating or training the instrument with known samples containing the same chemical. The characteristics determined by the method are then used to classify and identify the chemical in the sample. The method can also be used to quantify the concentration of the chemical in the sample.

  17. Methods for characterizing, classifying, and identifying unknowns in samples

    DOE Patents [OSTI]

    Grate, Jay W [West Richland, WA; Wise, Barry M [Manson, WA

    2002-01-01T23:59:59.000Z

    Disclosed is a method for taking the data generated from an array of responses from a multichannel instrument, and determining the characteristics of a chemical in the sample without the necessity of calibrating or training the instrument with known samples containing the same chemical. The characteristics determined by the method are then used to classify and identify the chemical in the sample. The method can also be used to quantify the concentration of the chemical in the sample.

  18. Using Prior Knowledge in the Design of Classifiers

    E-Print Network [OSTI]

    Shahrokh Esfahani, Mohammad

    2014-04-18T23:59:59.000Z

    USING PRIOR KNOWLEDGE IN THE DESIGN OF CLASSIFIERS A Dissertation by MOHAMMAD SHAHROKH ESFAHANI Submitted to the Office of Graduate and Professional Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR... OF PHILOSOPHY Chair of Committee, Edward Russell Dougherty Co-Chair of Committee, Aniruddha Datta Committee Members, Byung-Jun Yoon Ivan Ivanov Head of Department, Chanan Singh May 2014 Major Subject: Electrical Engineering Copyright 2014 Mohammad Shahrokh...

  19. Review of the US Department of Energy Classified Visits Program

    SciTech Connect (OSTI)

    Martin, S W; Killinger, M H; Segura, M A

    1992-07-01T23:59:59.000Z

    This review examines the US Department of Energy (DOE) Classified Visits Program, which is administered by the Office of Safeguards and Security. The overall purpose of this analysis is to (1) ensure that DOE policy and implementing procedures are appropriate to maintain US national security intentions; (2) evaluate the effectiveness of the process used across the DOE complex; and (3) recommend changes which will enhance the overall efficiency of the process while maintaining the program's integrity.

  20. A space-based radio frequency transient event classifier

    SciTech Connect (OSTI)

    Moore, K.R.; Blain, C.P.; Caffrey, M.P.; Franz, R.C.; Henneke, K.M.; Jones, R.G.

    1998-03-01T23:59:59.000Z

    The Department of Energy is currently investigating economical and reliable techniques for space-based nuclear weapon treaty verification. Nuclear weapon detonations produce RF transients that are signatures of illegal nuclear weapons tests. However, there are many other sources of RF signals, both natural and man-made. Direct digitization of RF signals requires rates of 300 MSamples per second and produces 10{sup 13} samples per day of data to analyze. it is impractical to store and downlink all digitized RF data from such a satellite without a prohibitively expensive increase in the number and capacities of ground stations. Reliable and robust data processing and information extraction must be performed onboard the spacecraft in order to reduce downlinked data to a reasonable volume. The FORTE (Fast On-Orbit Recording of Transient Events) satellite records RF transients in space. These transients will be classified onboard the spacecraft with an Event Classifier specialized hardware that performs signal preprocessing and neural network classification. The authors describe the Event Classifier requirements, scientific constraints, design and implementation.

  1. Macroencapsulation Equivalency Guidance for Classified Weapon Components and NNSSWAC Compliance

    SciTech Connect (OSTI)

    Poling, J.

    2012-05-15T23:59:59.000Z

    The U.S. Department of Energy (DOE) complex has a surplus of classified legacy weapon components generated over the years with no direct path for disposal. The majority of the components have been held for uncertainty of future use or no identified method of sanitization or disposal. As more weapons are retired, there is an increasing need to reduce the amount of components currently in storage or on hold. A process is currently underway to disposition and dispose of the legacy/retired weapons components across the DOE complex.

  2. Online Classified or Controlled Information Mini-Lessons | Department of

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2:Introduction toManagementOPAM PolicyOfEnergy Online Classified or Controlled

  3. Method and system for analyzing and classifying electronic information

    DOE Patents [OSTI]

    McGaffey, Robert W. (Oak Ridge, TN); Bell, Michael Allen (Powell, TN); Kortman, Peter J. (Knoxville, TN); Wilson, Charles H. (Etowah, TN)

    2003-04-29T23:59:59.000Z

    A data analysis and classification system that reads the electronic information, analyzes the electronic information according to a user-defined set of logical rules, and returns a classification result. The data analysis and classification system may accept any form of computer-readable electronic information. The system creates a hash table wherein each entry of the hash table contains a concept corresponding to a word or phrase which the system has previously encountered. The system creates an object model based on the user-defined logical associations, used for reviewing each concept contained in the electronic information in order to determine whether the electronic information is classified. The data analysis and classification system extracts each concept in turn from the electronic information, locates it in the hash table, and propagates it through the object model. In the event that the system can not find the electronic information token in the hash table, that token is added to a missing terms list. If any rule is satisfied during propagation of the concept through the object model, the electronic information is classified.

  4. 6. B. Sole Source Purchase: Commodities, contractual and construction services exceeding $50,000, available only from a single source.

    E-Print Network [OSTI]

    Wu, Shin-Tson

    6. B. Sole Source Purchase: Commodities, contractual and construction services exceeding $50 not be cost effective to use a different consultant"; · Stating a consultant is the foremost authority: (1). Complete the sole source form at http://www.purchasing.ucf.edu/forms/index.asp. Justifications

  5. Inventory and software distribution solutions for midsize businesses Buyer's guide: purchasing criteria

    E-Print Network [OSTI]

    Inventory and software distribution solutions for midsize businesses Buyer's guide: purchasing criteria Select inventory and software distribution tools that simplify PC and server management. March 2006 #12;2 Creating an accurate inventory of the hardware and software used throughout your

  6. Columbia University Purchasing Terms and Conditions Rev. 10/2012 Page 1 of 3

    E-Print Network [OSTI]

    Grishok, Alla

    Columbia University Purchasing Terms and Conditions Rev. 10/2012 Page 1 of 3 1. DELIVERABLES. If Vendor fails to comply, Columbia reserves all rights available under law, and specifically, the right in Columbia, Vendor hereby assigns to Columbia ownership of all Deliverables to be provided hereunder

  7. The University of Texas at Austin High Value/High Risk Information Technology Purchase Policy

    E-Print Network [OSTI]

    Dawson, Clint N.

    Security Officer (CISO) of the University must review the use of campus funds on computer-related products security, privacy, accessibility, and data management policies and related laws. Facilitate CIO and CISO and CISO will comment on the purchase and notify impacted colleges, schools, or units within 5 business

  8. The Canadian Plug-in Electric Vehicle Survey (CPEVS 2013): Anticipating Purchase, Use, and Grid Interactions

    E-Print Network [OSTI]

    The Canadian Plug-in Electric Vehicle Survey (CPEVS 2013): Anticipating Purchase, Use, and Grid investigates consumer interest in plug-in electric vehicles (PEVs), summarizing preliminary results from ownership, electricity use, familiarity with PEV technology, and personal values and lifestyle; vehicle

  9. In press, Water Resources Research Optimization of Environmental Water Purchases with Uncertainty

    E-Print Network [OSTI]

    Pasternack, Gregory B.

    provide efficient means to move water from those who value it less to those for whom shortage is expensiveIn press, Water Resources Research Optimization of Environmental Water Purchases with Uncertainty of Civil and Environmental Engineering, University of California, Davis ABSTRACT Water managers are turning

  10. U.S. Playground Equipment Manufacturer and Purchaser Perceptions of Treated Wood

    E-Print Network [OSTI]

    U.S. Playground Equipment Manufacturer and Purchaser Perceptions of Treated Wood Todd F. Shupe treated wood might cut life short for our children. "EPA chops down potential killer", 24 Hour News 8, Florida, after his bill to ban arsenic-treated wood from Florida's public playgrounds failed to pass

  11. ORNL provided a feasibility evaluation of EPA's plans to route purchased steam

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    engines, microturbines, steam turbines, fuel cells · CHP waste-heat-activated technologies -- generation3/23/09 ORNL provided a feasibility evaluation of EPA's plans to route purchased steam to produce projects. The team's expertise covers: · CHP power generation technologies -- turbines, internal combustion

  12. ORNL provided a feasibility evaluation of EPA's plans to route purchased steam

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    engines, microturbines, steam turbines, fuel cells · CHP waste-heat-activated technologies -- generation3/20/09 ORNL provided a feasibility evaluation of EPA's plans to route purchased steam to produce projects. The team's expertise covers: · CHP power generation technologies -- turbines, internal combustion

  13. OHS Purchasing Guideline Page 1 of 2 Version: 3.1 05/11/2010

    E-Print Network [OSTI]

    New South Wales, University of

    Page 2 of 2 Version: 3.1 05/11/2010 3.2 The capacity of suppliers of goods and services to comply with UNSW OHS requirements must be assessed. This may be achieved by obtaining the supplier's OHS Policy the necessary qualifications. Purchasing responsibilities designated to staff must be defined in position

  14. IwouldliketosupportTheUCI/ScottBrooksGolfInvitational presented by Irvine BMW by purchasing

    E-Print Network [OSTI]

    Stanford, Kyle

    IwouldliketosupportTheUCI/ScottBrooksGolfInvitational presented by Irvine BMW by purchasing # Exp: Signature: Amount Authorized: presented by 1:00 pm shotgun Oak Creek Golf Club Irvine BMW THE UCI BMW raises much needed funds for student-athlete scholarships at UC Irvine. Participants will indulge

  15. Implementation of Presidential Policy Directive 19, Protecting Whistleblowers with Access to Classified Information

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

    2012-10-10T23:59:59.000Z

    This Notice implements Presidential Policy Directive 19, Protecting Whistleblowers with Access to Classified Information, which was issued by President Obama on October 10, 2012. Implementation of the PPD will ensure that employees who are eligible for access to classified information can effectively report waste, fraud, and abuse while protecting classified information.

  16. A multi-instance learning wrapper based on the Rocchio classifier for web index recommendation

    E-Print Network [OSTI]

    Gent, Universiteit

    A multi-instance learning wrapper based on the Rocchio classifier for web index recommendation-instance wrapper Recommender system Rocchio classifier Web mining a b s t r a c t Web index recommendation systems method using the Rocchio classifier to recommend web index pages. The wrapper implements a new way

  17. Refining and classifying finite-time Lyapunov exponent ridges

    E-Print Network [OSTI]

    Allshouse, Michael R

    2015-01-01T23:59:59.000Z

    While more rigorous and sophisticated methods for identifying Lagrangian based coherent structures exist, the finite-time Lyapunov exponent (FTLE) field remains a straightforward and popular method for gaining some insight into transport by complex, time-dependent two-dimensional flows. In light of its enduring appeal, and in support of good practice, we begin by investigating the effects of discretization and noise on two numerical approaches for calculating the FTLE field. A practical method to extract and refine FTLE ridges in two-dimensional flows, which builds on previous methods, is then presented. Seeking to better ascertain the role of an FTLE ridge in flow transport, we adapt an existing classification scheme and provide a thorough treatment of the challenges of classifying the types of deformation represented by an FTLE ridge. As a practical demonstration, the methods are applied to an ocean surface velocity field data set generated by a numerical model.

  18. Proposals with computer/laptop and software purchases: In order to use agency funds to pay for computers, software and peripherals,

    E-Print Network [OSTI]

    Kurapov, Alexander

    graphics output functions for wave-energy modeling. Funds have been requested to purchase a computer as processing of vector and raster graphics. Funds are requested to purchase Adobe SpeedGrade CS6 to enable

  19. Sandia National Laboratories: Lawrence Berkeley Na-tional Laboratory

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

    Capabilities Solar power and other sources of renewable energy can help combat global warming but they have a draw-back: they don't produce energy as predictably as generating...

  20. Annual report: Purchasing and Materials Management Organization, Sandia National Laboratories, fiscal year 1992

    SciTech Connect (OSTI)

    Zaeh, R.A.

    1993-04-01T23:59:59.000Z

    This report summarizes the purchasing and transportation activities of the Purchasing and Materials Management Organization for Fiscal Year 1992. Activities for both the New Mexico and California locations are included. Topics covered in this report include highlights for fiscal year 1992, personnel, procurements (small business procurements, disadvantaged business procurements, woman-owned business procurements, New Mexico commercial business procurements, Bay area commercial business procurements), commitments by states and foreign countries, and transportation activities. Also listed are the twenty-five commercial contractors receiving the largest dollar commitments, commercial contractors receiving commitments of $1,000 or more, integrated contractor and federal agency commitments of $1,000 or more from Sandia National Laboratories/New Mexico and California, and transportation commitments of $1,000 or more from Sandia National Laboratories/New Mexico and California.

  1. Using Renewable Energy Purchases to Achieve Institutional Carbon Goals: A Review of Current Practices and Considerations

    SciTech Connect (OSTI)

    Bird, L.; Sumner, J.

    2011-01-01T23:59:59.000Z

    With organizations and individuals increasingly interested in accounting for their carbon emissions, greater attention is being placed on how to account for the benefits of various carbon mitigation actions available to consumers and businesses. Generally, organizations can address their own carbon emissions through energy efficiency, fuel switching, on-site renewable energy systems, renewable energy purchased from utilities or in the form of renewable energy certificates (RECs), and carbon offsets. This paper explores the role of green power and carbon offsets in carbon footprinting and the distinctions between the two products. It reviews how leading greenhouse gas (GHG) reporting programs treat green power purchases and discusses key issues regarding how to account for the carbon benefits of renewable energy. It also discusses potential double counting if renewable energy generation is used in multiple markets.

  2. Classifying Supersymmetric Solutions in 3D Maximal Supergravity

    E-Print Network [OSTI]

    Jan de Boer; Daniel R. Mayerson; Masaki Shigemori

    2014-11-18T23:59:59.000Z

    String theory contains various extended objects. Among those, objects of codimension two (such as the D7-brane) are particularly interesting. Codimension two objects carry non-Abelian charges which are elements of a discrete U-duality group and they may not admit a simple space-time description, in which case they are known as exotic branes. A complete classification of consistent codimension two objects in string theory is missing, even if we demand that they preserve some supersymmetry. As a step toward such a classification, we study the supersymmetric solutions of 3D maximal supergravity, which can be regarded as approximate description of the geometry near codimension two objects. We present a complete classification of the types of supersymmetric solutions that exist in this theory. We found that this problem reduces to that of classifying nilpotent orbits associated with the U-duality group, for which various mathematical results are known. We show that the only allowed supersymmetric configurations are 1/2, 1/4, 1/8, and 1/16 BPS, and determine the nilpotent orbits that they correspond to. One example of 1/16 BPS configurations is a generalization of the MSW system, where momentum runs along the intersection of seven M5-branes. On the other hand, it turns out exceedingly difficult to translate this classification into a simple criterion for supersymmetry in terms of the non-Abelian (monodromy) charges of the objects. For example, it can happen that a supersymmetric solution exists locally but cannot be extended all the way to the location of the object. To illustrate the various issues that arise in constructing supersymmetric solutions, we present a number of explicit examples.

  3. Power Supply Status Quotes received for Op Amps 20 Op amps will be purchased (2 spares). 21 week

    E-Print Network [OSTI]

    McDonald, Kirk

    Power Supply Status Quotes received for Op Amps ­ 20 Op amps will be purchased (2 spares). 21 week system for use in power supply control system. ­ Evidently they are the same. Cryo Foam/Insulation Status

  4. Regional Purchasing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection RadiationRecord-SettingHead5"Redline"

  5. Green Purchasing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC) Environmental AssessmentsGeoffrey(SC)Graphite Reactor 'In the-GreenGreen

  6. THE CITY UNIVERSITY OF NEW YORK Classified Civil Service Position Description

    E-Print Network [OSTI]

    Rosen, Jay

    /or equipment in accordance with standard procedures and legal requirements, prepare necessary purchasing records. - May interview salesmen and business representatives. Qualification Requirements 1. High school/or variety of materials, supplies, or equipment, or two years of full-time, paid experience in a field

  7. Web Unit Mining Finding and Classifying Subgraphs of Centre for Advanced Information Systems

    E-Print Network [OSTI]

    Aixin, Sun

    Web Unit Mining ­ Finding and Classifying Subgraphs of Web Pages Aixin Sun Centre for Advanced Technological University Singapore, 639798 aseplim@ntu.edu.sg ABSTRACT In web classification, most researchers assume that the ob- jects to classify are individual web pages from one or more web sites. In practice

  8. Adaptive Generalized Estimation Equation with Bayes Classifier for the Job Assignment Problem

    E-Print Network [OSTI]

    Lin, King-Ip "David"

    or linear programming do not work well for data with high level of noise. Moreover, our model aims at beingAdaptive Generalized Estimation Equation with Bayes Classifier for the Job Assignment Problem Yulan classifiers to enhance decision­making models for the job assignment problem. Adaptive Generalized Estimation

  9. A Simple Fuzzy Classifier based on Inconsistency Analysis of Labeled Data

    E-Print Network [OSTI]

    Putten, Peter van der

    for designing fuzzy systems for prediction, control, and pattern recognition. Most of these data 2000, fuzzy classifier, model initialisation, direct mail INRODUCTION Data mining and knowledgeA Simple Fuzzy Classifier based on Inconsistency Analysis of Labeled Data János Abonyi, Hans Roubos

  10. Evolving Fuzzy Classifiers: Application to Incremental Learning of Handwritten Gesture Recognition Systems

    E-Print Network [OSTI]

    Boyer, Edmond

    Evolving Fuzzy Classifiers: Application to Incremental Learning of Handwritten Gesture Recognition pattern recognition task. The main problem in classification is to induce a classifier from a set of data.cheriet@etsmtl.ca Abstract--In this paper, we present a new method to design customizable self-evolving fuzzy rule

  11. Improving Premise Structure in Evolving Takagi-Sugeno Neuro-Fuzzy Classifiers

    E-Print Network [OSTI]

    Boyer, Edmond

    . The presented approach is based on a first-order Takagi- Sugeno neuro-fuzzy model. We propose a modification for almost any pattern recognition task. The main problem in classification is to induce a classifier fromImproving Premise Structure in Evolving Takagi-Sugeno Neuro-Fuzzy Classifiers Abdullah Almaksour

  12. Neural Network Classifiers and Gene Selection Methods for Microarray Data on Human Lung Adenocarcinoma

    E-Print Network [OSTI]

    Narasimhan, Giri

    Neural Network Classifiers and Gene Selection Methods for Microarray Data on Human Lung with lung cancer gene expression data sets available from the CAMDA website. Many different classification several new methods for classifying gene expression data from lung cancer patients. Our approach uses

  13. Data sources directory for purchasing officials: Energy-efficient and environmentally preferred products

    SciTech Connect (OSTI)

    NONE

    1995-09-01T23:59:59.000Z

    This Directory, produced by the New York State Energy Research and Development Authority, is an introduction to organizations that provide information about energy-efficient and environmentally preferred equipment and products. It is intended to be a reference tool for purchasing officials in the public and private sectors. The New York State Energy Research and Development Authority does not endorse any particular vendor, organization, or technology. This list was prepared to provide information. The companies listed may provide additional products and/or services not mentioned in this directory.

  14. Guide to purchasing green power. Renewable electricity, renewable energy certificates and on-site renewable generation

    SciTech Connect (OSTI)

    None,

    2004-09-30T23:59:59.000Z

    The Guide to Purchasing Green Power is intended for organizations that are considering the merits of buying green power as well as those that have decided to buy it and want help doing so. The Guide was written for a broad audience, including businesses, government agencies, universities, and all organizations wanting to diversify their energy supply and to reduce the environmental impact of their electricity use.The Guide provides an overview of green power markets and describes the necessary steps to buying green power. This section summarizes the Guide to help readers find the information they need.

  15. Guide to Purchasing Green Power: Renewable Electricity, Renewable Energy Certificates, and On-Site Renewable Generation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(Fact Sheet), GeothermalGrid Integration0-1 March 2013 Purchasing Green Power

  16. Financial impacts of nonutility power purchases on investor-owned electric utilities

    SciTech Connect (OSTI)

    Not Available

    1994-06-01T23:59:59.000Z

    To assist in its these responsibilities in the area of electric power, EIA has prepared this report, Financial Impacts of Nonutility Power Purchases on Investor-Owned Electric Utilities. The primary purpose of this report is to provide an overview of the issues surrounding the financial impacts of nonutility generation contracts (since the passage of the Public Utility Regulatory Policies Act of 1978) on investor-owned utilities. The existing concern in this area is manifest in the provisions of Section 712 of the Energy Policy Act of 1992, which required State regulatory commissions to evaluate various aspects of long-term power purchase contracts, including their impact on investor-owned utilities` cost of capital and rates charged to customers. The EIA does not take positions on policy questions. The EIA`s responsibility is to provide timely, high quality information and to perform objective, credible analyses in support of the deliberations by both public and private decision-makers. Accordingly, this report does not purport to represent the policy positions of the US Department of Energy or the Administration.

  17. Proposal for the award of a blanket purchase contract for the replacement and maintenance of lifts giving access to the LHC underground areas

    E-Print Network [OSTI]

    2015-01-01T23:59:59.000Z

    Proposal for the award of a blanket purchase contract for the replacement and maintenance of lifts giving access to the LHC underground areas

  18. Proposal to negotiate an amendment to a blanket purchase contract for the supply and installation of water-cooled bus bars and cables for the LHC

    E-Print Network [OSTI]

    2014-01-01T23:59:59.000Z

    Proposal to negotiate an amendment to a blanket purchase contract for the supply and installation of water-cooled bus bars and cables for the LHC

  19. Proposal for the award of a blanket purchase contract for the supply of numerical relays for the protection of electrical power systems

    E-Print Network [OSTI]

    2010-01-01T23:59:59.000Z

    Proposal for the award of a blanket purchase contract for the supply of numerical relays for the protection of electrical power systems

  20. Proposal to negotiate the renewal of a blanket purchase contract for the supply of high-power RF grid-tubes for the CERN accelerators

    E-Print Network [OSTI]

    2014-01-01T23:59:59.000Z

    Proposal to negotiate the renewal of a blanket purchase contract for the supply of high-power RF grid-tubes for the CERN accelerators

  1. Proposal for the award of blanket purchase contracts for the supply and maintenance of light petrol and light bi-fuel vehicles

    E-Print Network [OSTI]

    2010-01-01T23:59:59.000Z

    Proposal for the award of blanket purchase contracts for the supply and maintenance of light petrol and light bi-fuel vehicles

  2. A support vector machine classifier reduces interscanner variation in the HRCT classification of regional disease pattern in diffuse lung disease: Comparison to a Bayesian classifier

    SciTech Connect (OSTI)

    Chang, Yongjun; Lim, Jonghyuck; Kim, Namkug; Seo, Joon Beom [Department of Radiology, University of Ulsan College of Medicine, 388-1 Pungnap2-dong, Songpa-gu, Seoul 138-736 (Korea, Republic of); Lynch, David A. [Department of Radiology, National Jewish Medical and Research Center, Denver, Colorado 80206 (United States)

    2013-05-15T23:59:59.000Z

    Purpose: To investigate the effect of using different computed tomography (CT) scanners on the accuracy of high-resolution CT (HRCT) images in classifying regional disease patterns in patients with diffuse lung disease, support vector machine (SVM) and Bayesian classifiers were applied to multicenter data. Methods: Two experienced radiologists marked sets of 600 rectangular 20 Multiplication-Sign 20 pixel regions of interest (ROIs) on HRCT images obtained from two scanners (GE and Siemens), including 100 ROIs for each of local patterns of lungs-normal lung and five of regional pulmonary disease patterns (ground-glass opacity, reticular opacity, honeycombing, emphysema, and consolidation). Each ROI was assessed using 22 quantitative features belonging to one of the following descriptors: histogram, gradient, run-length, gray level co-occurrence matrix, low-attenuation area cluster, and top-hat transform. For automatic classification, a Bayesian classifier and a SVM classifier were compared under three different conditions. First, classification accuracies were estimated using data from each scanner. Next, data from the GE and Siemens scanners were used for training and testing, respectively, and vice versa. Finally, all ROI data were integrated regardless of the scanner type and were then trained and tested together. All experiments were performed based on forward feature selection and fivefold cross-validation with 20 repetitions. Results: For each scanner, better classification accuracies were achieved with the SVM classifier than the Bayesian classifier (92% and 82%, respectively, for the GE scanner; and 92% and 86%, respectively, for the Siemens scanner). The classification accuracies were 82%/72% for training with GE data and testing with Siemens data, and 79%/72% for the reverse. The use of training and test data obtained from the HRCT images of different scanners lowered the classification accuracy compared to the use of HRCT images from the same scanner. For integrated ROI data obtained from both scanners, the classification accuracies with the SVM and Bayesian classifiers were 92% and 77%, respectively. The selected features resulting from the classification process differed by scanner, with more features included for the classification of the integrated HRCT data than for the classification of the HRCT data from each scanner. For the integrated data, consisting of HRCT images of both scanners, the classification accuracy based on the SVM was statistically similar to the accuracy of the data obtained from each scanner. However, the classification accuracy of the integrated data using the Bayesian classifier was significantly lower than the classification accuracy of the ROI data of each scanner. Conclusions: The use of an integrated dataset along with a SVM classifier rather than a Bayesian classifier has benefits in terms of the classification accuracy of HRCT images acquired with more than one scanner. This finding is of relevance in studies involving large number of images, as is the case in a multicenter trial with different scanners.

  3. Permeability characterization and spatial modeling in complex reservoirs: use of tree classifiers and Markov Random Field

    E-Print Network [OSTI]

    Perez Vega, Hector H

    2002-01-01T23:59:59.000Z

    This research presents two approaches for working with reservoir properties. The first is the application of decision tree classifiers for predicting partitioning or classifications based on well logs for improving the permeability estimations...

  4. honeys were classified higher and were pre-ferred. Honeys with an ethanol content

    E-Print Network [OSTI]

    Boyer, Edmond

    honeys were classified higher and were pre- ferred. Honeys with an ethanol content higher than 100 with an ethanol con- tent higher than 1000 mg·kg-1 were classi- fied as 'extremely fermented'. Ethanol

  5. Using Visible and Near Infrared Diffuse Reflectance Spectroscopy to Characterize and Classify Soil Profiles

    E-Print Network [OSTI]

    Wilke, Katrina Margarette

    2011-10-21T23:59:59.000Z

    USING VISIBLE AND NEAR INFRARED DIFFUSE REFLECTANCE SPECTROSCOPY TO CHARACTERIZE AND CLASSIFY SOIL PROFILES A Thesis by KATRINA MARGARETTE WILKE Submitted to the Office of Graduate Studies of Texas A&M University in partial... fulfillment of the requirements for the degree of MASTER OF SCIENCE August 2010 Major Subject: Soil Science USING VISIBLE AND NEAR INFRARED DIFFUSE REFLECTANCE SPECTROSCOPY TO CHARACTERIZE AND CLASSIFY SOIL PROFILES A Thesis...

  6. Cleaning Glass Slides and Coverslips The following carriers can be purchased from the Fluoroware division of Entegris

    E-Print Network [OSTI]

    Fygenson, Deborah Kuchnir

    Cleaning Glass Slides and Coverslips Materials The following carriers can be purchased from coverslips. - Handle for LCD Carrier (Polypropylene) / Catalog # A45-03-0603 For 3" glass slides. - Carrier and seal with cover. The glass is now ready for storage. Before Use - Before using a slide or coverslip

  7. Purchasing Compost Compost, the end product of a controlled decomposition of plant and animal wastes, makes an excellent addition

    E-Print Network [OSTI]

    New Hampshire, University of

    Purchasing Compost Compost, the end product of a controlled decomposition of plant and animal wastes, makes an excellent addition to lawn or garden soil. Adding compost to your soil helps improve both its drainage and waterholding properties. Compost stores plant nutrients and prevents them from

  8. 30486 Federal Register / Vol. 77, No. 100 / Wednesday, May 23, 2012 / Proposed Rules Washington, DC or may be purchased

    E-Print Network [OSTI]

    of Petitions Filed: 3. Federal Communications Commission. Marlene H. Dortch, Secretary, Office of the Secretary30486 Federal Register / Vol. 77, No. 100 / Wednesday, May 23, 2012 / Proposed Rules Washington, DC or may be purchased from the Commission's copy contractor, Best Copy and Printing, Inc. (BCPI) (1

  9. Building Ultra-Low False Alarm Rate Support Vector Classifier Ensembles Using Random Subspaces

    SciTech Connect (OSTI)

    Chen, B Y; Lemmond, T D; Hanley, W G

    2008-10-06T23:59:59.000Z

    This paper presents the Cost-Sensitive Random Subspace Support Vector Classifier (CS-RS-SVC), a new learning algorithm that combines random subspace sampling and bagging with Cost-Sensitive Support Vector Classifiers to more effectively address detection applications burdened by unequal misclassification requirements. When compared to its conventional, non-cost-sensitive counterpart on a two-class signal detection application, random subspace sampling is shown to very effectively leverage the additional flexibility offered by the Cost-Sensitive Support Vector Classifier, yielding a more than four-fold increase in the detection rate at a false alarm rate (FAR) of zero. Moreover, the CS-RS-SVC is shown to be fairly robust to constraints on the feature subspace dimensionality, enabling reductions in computation time of up to 82% with minimal performance degradation.

  10. ATTRIBUTE VERIFICATION SYSTEMS WITH INFORMATION BARRIERS FOR CLASSIFIED FORMS OF PLUTONIUM IN THE TRILATERAL INITIATIVE

    SciTech Connect (OSTI)

    Langner, D. C. (Diana C.); Hsue, S.-T. (Sin-Tao); MacArthur, D. W. (Duncan W.); Nicholas, N. J. (Nancy J.); Whiteson, R. (Rena); Gosnell, T. B. (Thomas B.); Koening, Z. (Zachary); Wolford, J. K. (James K.); Aparo, Massimo; Kulikov, Iouri; Puckett, J. M. (John M.); Whichello, J. (Julian); Razinkov, S. (Sergei); Livke, A. (Alexander)

    2001-01-01T23:59:59.000Z

    A team of technical experts from the Russian Federation, the International Atomic Energy Agency (IAEA), and the United States has been working since December 1997 to develop a toolkit of instruments that could be used to verify plutonium-bearing items that have classified characteristics in nuclear weapons states. This suite of instruments is similar in many ways to standard safeguards equipment and includes high-resolution gamma-ray spectrometers, neutron multiplicity counters, gross neutron counters, and gross gamma-ray detectors. In safeguards applications, this equipment is known to be robust and authentication methods are well understood. However, this equipment is very intrusive, and a traditional safeguards application of such equipment for verification of materials with classified characteristics would reveal classified information to the inspector. Several enabling technologies have been or are being developed to facilitate the use of these trusted, but intrusive safeguards technologies. In this paper, these new technologies will be described.

  11. Additional/Outside Employment Policy for Salaried Classified and University Staff Page 1 of 3 Virginia Polytechnic Institute and State University No. 4070 Rev.: 2

    E-Print Network [OSTI]

    Buehrer, R. Michael

    Additional/Outside Employment Policy for Salaried Classified and University Staff Page 1 of 3: Additional/Outside Employment Policy for Salaried Classified and University Staff employment within the university and outside the university for salaried classified and university staff

  12. Solid waste bin detection and classification using Dynamic Time Warping and MLP classifier

    SciTech Connect (OSTI)

    Islam, Md. Shafiqul, E-mail: shafique@eng.ukm.my [Dept. of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangore (Malaysia); Hannan, M.A., E-mail: hannan@eng.ukm.my [Dept. of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangore (Malaysia); Basri, Hassan [Dept. of Civil and Structural Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangore (Malaysia); Hussain, Aini; Arebey, Maher [Dept. of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangore (Malaysia)

    2014-02-15T23:59:59.000Z

    Highlights: • Solid waste bin level detection using Dynamic Time Warping (DTW). • Gabor wavelet filter is used to extract the solid waste image features. • Multi-Layer Perceptron classifier network is used for bin image classification. • The classification performance evaluated by ROC curve analysis. - Abstract: The increasing requirement for Solid Waste Management (SWM) has become a significant challenge for municipal authorities. A number of integrated systems and methods have introduced to overcome this challenge. Many researchers have aimed to develop an ideal SWM system, including approaches involving software-based routing, Geographic Information Systems (GIS), Radio-frequency Identification (RFID), or sensor intelligent bins. Image processing solutions for the Solid Waste (SW) collection have also been developed; however, during capturing the bin image, it is challenging to position the camera for getting a bin area centralized image. As yet, there is no ideal system which can correctly estimate the amount of SW. This paper briefly discusses an efficient image processing solution to overcome these problems. Dynamic Time Warping (DTW) was used for detecting and cropping the bin area and Gabor wavelet (GW) was introduced for feature extraction of the waste bin image. Image features were used to train the classifier. A Multi-Layer Perceptron (MLP) classifier was used to classify the waste bin level and estimate the amount of waste inside the bin. The area under the Receiver Operating Characteristic (ROC) curves was used to statistically evaluate classifier performance. The results of this developed system are comparable to previous image processing based system. The system demonstration using DTW with GW for feature extraction and an MLP classifier led to promising results with respect to the accuracy of waste level estimation (98.50%). The application can be used to optimize the routing of waste collection based on the estimated bin level.

  13. Inspection Report on "Internal Controls over Accountable Classified Removable Electronic Media at Oak Ridge National Laboratory"

    SciTech Connect (OSTI)

    None

    2009-05-01T23:59:59.000Z

    The Department of Energy's Oak Ridge National Laboratory (ORNL) conducts cutting edge scientific research. ORNL utilizes removable electronic media, such as computer hard drives, compact disks, data tapes, etc., to store vast amounts of classified information. Incidents involving breakdowns in controls over classified removable electronic media have been a continuous challenge for the Department. The loss of even one piece of such media can have serious national security implications. In 2004, the Department had a complex-wide 'stand-down' of all activities using classified removable electronic media, and such media containing Secret/Restricted Data or higher classified data was designated 'Accountable Classified Removable Electronic Media' (ACREM). As part of the stand-down, sites were required to conduct a 100 percent physical inventory of all ACREM; enter it all into accountability; and conduct security procedure reviews and training. Further, the Department implemented a series of controls, including conducting periodic inventories, utilizing tamper proof devices on ACREM safes, and appointing trained custodians to be responsible for the material. After performance testing and validation that the required accountability systems were in place, ACREM operations at ORNL were approved for restart on August 10, 2004. We conducted a review at ORNL and associated facilities to determine whether ACREM is managed, protected, and controlled consistent with applicable requirements. We found that: (1) Eight pieces of Secret/Restricted Data media had not been identified as ACREM and placed into a system of accountability. Consequently, the items were not subject to all required protections and controls, such as periodic accountability inventories, oversight by a trained custodian, or storage in a designated ACREM safe. (However, the items were secured in safes approved for classified material.) (2) Other required ACREM protections and controls were not implemented as follows: a tamper indicating device was not being used on an ACREM safe; records documenting when a certain safe was opened did not support that a purported inventory had been conducted; and a safe inventory had not been completed in a timely manner. (3) A Personal Digital Assistant and a thumb drive, both capable of recording or transmitting data, were stored in a security area without an analysis to identify vulnerabilities and compensatory measures having been conducted, as required. We also found that an ORNL Cooperative Research and Development Agreement partner had not disabled classified computer ports at the partner's site that were capable of writing classified information to external or removable media, as required. We made several recommendations designed to enhance the security of ACREM, security areas, and computers.

  14. Manual of Security Requirements for the Classified Automated Information System Security Program

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

    1994-07-15T23:59:59.000Z

    This Manual provides specific instructions and delineates the requirements to ensure the graded security of classified information entrusted to the Department of Energy (DOE) that is processed, stored, transferred, or accessed on Automated Information Systems (AISs) and AIS networks. Canceled by DOE M 471.2-2.

  15. Optimized Cascade of Classifiers for People Detection Using Covariance Malik SOUDED1,2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    for many applications like people track- ing especially in crowded scenes has motivated many researchesOptimized Cascade of Classifiers for People Detection Using Covariance Features Malik SOUDED1.Souded@digitalbarriers.com Keywords: People detection, Covariance descriptor, LogitBoost. Abstract: People detection on static images

  16. Classified Comfort Noise Generation for Efficient Voice Transmission Yasheng Qian, Wei-Shou Hsu, Peter Kabal

    E-Print Network [OSTI]

    Kabal, Peter

    speech gaps. This is known as discontinuous transmission (DTX). For Voice-over-Internet (VoIP) networks, during speech pauses transmission occurs at a lower bit rate (and lower power). This reduced powerClassified Comfort Noise Generation for Efficient Voice Transmission Yasheng Qian, Wei-Shou Hsu

  17. Bagged Ensemble of Fuzzy C Means Classifiers for Nuclear Transient Identification

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    outside the space of functions that can be implemented by the chosen classifiers. In this respect to the identification of simulated transients in the feedwater system of a Boiling Water Reactor (BWR). Keywords, efficiency, reliability and safety of industrial systems, is motivating an increasing interest in fault

  18. Basic and Applied Ecology 6 (2005) 119--131 A functional method for classifying European

    E-Print Network [OSTI]

    Villar-Salvador, Pedro

    of abandonment. These mathematical relationships between an ecological attribute and a perception of economicBasic and Applied Ecology 6 (2005) 119--131 A functional method for classifying European grasslands for use in joint ecological and economic studies J.G. Hodgsona,�,1 , G. Montserrat-Marti´b , B

  19. Methods, systems and devices for detecting threatening objects and for classifying magnetic data

    DOE Patents [OSTI]

    Kotter, Dale K. (Shelley, ID); Roybal, Lyle G. (Idaho Falls, ID); Rohrbaugh, David T. (Idaho Falls, ID); Spencer, David F. (Idaho Falls, ID)

    2012-01-24T23:59:59.000Z

    A method for detecting threatening objects in a security screening system. The method includes a step of classifying unique features of magnetic data as representing a threatening object. Another step includes acquiring magnetic data. Another step includes determining if the acquired magnetic data comprises a unique feature.

  20. Informatica 17 page xxx--yyy 1 Problem Definition, Data Cleaning, and Evaluation: A Classifier

    E-Print Network [OSTI]

    Danyluk, Andrea Pohoreckyj

    engineering Edited by: Xindong Wu Received: September 1996 Revised: September 1998 Accepted: December 1998. The bottom line of the project is that simple learning techniques can be effective. However, constructing the cost­effectiveness of the learned classifiers, because evaluation based on classification accuracy

  1. Classifying Facial Gestures in Presence of Head Motion Wei-Kai Liao and Isaac Cohen

    E-Print Network [OSTI]

    Cohen, Issac

    -computer interaction. Besides, it has many other potential applications, such as virtual reality and facial animation. After estimating the head pose, the human face is modeled by a collection of face's regions vector machine. Our experiments show that this approach could classify human expressions in interactive

  2. A study on the influence of shape in classifying small spectral data sets

    E-Print Network [OSTI]

    Duin, Robert P.W.

    Colombia Sede Manizales, Colombia 1 {dporro,italavera}@cenatav.co.cu,2 r.duin@ieee.org, 3 morozcoa, this type of data usually suffers from the curse of dimensionality. This causes most statistical methods and/or classifiers to not perform well. A recently proposed alternative which can help avoiding this problem

  3. Classifiers of support vector machine type with 1 complexity regularization 1

    E-Print Network [OSTI]

    van de Geer, Sara

    loss, margin, oracle inequality, penalized classification rule, sparsity. Running head: 1 penalized SVM loss. We consider classifiers that are linear combinations of base functions. Instead of an 2 penalty conditions on the base functions, hinge loss with this complexity penalty is shown to lead to an oracle

  4. WAIVER OF RIGHT TO PRE-TERMINATION HEARING FOR CLASSIFIED STAFF ONLY

    E-Print Network [OSTI]

    Rhoads, James

    WAIVER OF RIGHT TO PRE-TERMINATION HEARING FOR CLASSIFIED STAFF ONLY Office of Human Resources Rev Discipline and SPP 1011 Involuntary Terminations, you are entitled to a pre-termination hearing prior to the effective date of termination stated in your Notice of Intent to Recommend Termination. The purpose

  5. A classifier-based target cost for unit selection speech synthesis trained on perceptual data 

    E-Print Network [OSTI]

    Strom, Volker; King, Simon

    2010-01-01T23:59:59.000Z

    of the classifier is used to make a simple three-way distinction rather than to estimate a continuously-valued cost. In order to collect the necessary perceptual data, we synthesised 145,137 short sentences with the usual target cost switched off, so that the search...

  6. Maximizing Classifier Utility when Training Data is Costly Gary M. Weiss and Ye Tian

    E-Print Network [OSTI]

    Weiss, Gary

    Maximizing Classifier Utility when Training Data is Costly Gary M. Weiss and Ye Tian Department of acquir- ing the training examples in the data mining process; we analyze the impact of the cost- formance of several progressive sampling schemes, which, given the cost of the training data, will generate

  7. THE CITY UNIVERSITY OF NEW YORK Classified Civil Service Position Description

    E-Print Network [OSTI]

    Rosen, Jay

    of full-time recent experience as an electrician's helper or apprentice; or 2. Not less than one and oneTHE CITY UNIVERSITY OF NEW YORK Classified Civil Service Position Description Title Electrician and Responsibilities Under direct supervision, assists an electrician in installing, repairing, replacement

  8. THE CITY UNIVERSITY OF NEW YORK Classified Civil Service Position Description

    E-Print Network [OSTI]

    Rosen, Jay

    experience as an electrician's helper or apprentice electrician or training in the electrical field acquiredTHE CITY UNIVERSITY OF NEW YORK Classified Civil Service Position Description Title Electrician Under direction, work as an electrician on the installation, repair and maintenance of high or low

  9. Multi-rate Modeling, Model Inference, and Estimation for Statistical Classifiers

    E-Print Network [OSTI]

    Washington at Seattle, University of

    Multi-rate Modeling, Model Inference, and Estimation for Statistical Classifiers ¨Ozg¨ur C University of Washington 2004 Program Authorized to Offer Degree: Electrical Engineering #12;#12;University: Mari Ostendorf Reading Committee: Mari Ostendorf Jeffrey A. Bilmes Maya R. Gupta Date: #12;#12;In

  10. Using a priori knowledge to classify in vivo images of the lung

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Using a priori knowledge to classify in vivo images of the lung Chesner D´esir1 , Caroline perspectives for this very challenging medical application. 1 Introduction The lungs are the essential, that includes the trachea, bronchi, and bronchioles, and (ii) the gas-exchange region, or lung parenchyma, made

  11. Classifying Climbs in Soaring Flight Data 1 Data Mining to distinguish Wave vs. Thermal

    E-Print Network [OSTI]

    Classifying Climbs in Soaring Flight Data 1 Data Mining to distinguish Wave vs. Thermal Climbs in Soaring Flight Data Alfred Ultsch and Rene Heise Databionics Research Group Philipps-University Marburg is a challenge for meteorological forecasting. To obtain precise measurement data on Mountain Waves is costly

  12. Fuel purchasing patterns and vehicle use trends from the NPD research gasoline diary data base: data display

    SciTech Connect (OSTI)

    Not Available

    1982-09-01T23:59:59.000Z

    The NPD data base has been developed from the Petroleum Marketing Index (PMI) market research survey. The source for PMI is a national diary panel of approximately 4100 households balanced against the U.S. Census according to demography and geographic location. Survey participants maintain diaries in which they record purchases of gasoline and motor oil for each household vehicle. The PMI survey was augmented to include EPA fuel economy numbers for post 1975 model year vehicles. The steps taken to prepare the data for analysis are discussed, including error correction, smoothing, and collapsing to monthly summary records. This preparation yields a manageable data base which includes monthly summary statistics on travel and fuel use. A statistical smoothing of fuel purchase data was used to reduce the uncertainty in fuel economy calculations introduced by the difference between fuel purchased and fuel consumed. Collapsing to monthly summaries also was done to standardize the observations across the data base to uniform time periods. An overview is given of available data on in-use fuel economy, vehicle miles of travel, and fuel demand, highlighting the quarterly trends in these variables. The data presented are divided into three parts: in-use fuel economy, vehicle miles of travel, and fuel demand and fuel prices.

  13. Collective economics : leveraging purchasing power of low-income communities for collective gain : Lawrence Community Works and the Network Advantage Program

    E-Print Network [OSTI]

    Espino, Eric V

    2007-01-01T23:59:59.000Z

    This thesis focuses on the concept of Collective Economics and develops a set of recommendations by which groups with common interests can effectively utilize their purchasing power for collective benefits. Working with ...

  14. Application of Data Mining to Network Intrusion Detection: Classifier Selection Model

    E-Print Network [OSTI]

    Nguyen, Huy

    2010-01-01T23:59:59.000Z

    As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a critical component to secure the network. Due to large volumes of security audit data as well as complex and dynamic properties of intrusion behaviors, optimizing performance of IDS becomes an important open problem that is receiving more and more attention from the research community. The uncertainty to explore if certain algorithms perform better for certain attack classes constitutes the motivation for the reported herein. In this paper, we evaluate performance of a comprehensive set of classifier algorithms using KDD99 dataset. Based on evaluation results, best algorithms for each attack category is chosen and two classifier algorithm selection models are proposed. The simulation result comparison indicates that noticeable performance improvement and real-time intrusion detection can be achieved as we apply the proposed models to detect different kinds of network at...

  15. Exhibit 7 Filing of Patent Applications Classified Subject Matter UT-B Contracts Div ex7-july10.doc

    E-Print Network [OSTI]

    Pennycook, Steve

    Exhibit 7 ­ Filing of Patent Applications ­ Classified Subject Matter UT-B Contracts Div July 2010 Page 1 of ex7-july10.doc Exhibit 7 Ref: FAR 52.227-10 (Dec 2007) FILING OF PATENT APPLICATIONS - CLASSIFIED SUBJECT MATTER (July 2010) (a) Before filing or causing to be filed a patent application

  16. The Application of a Dendritic Cell Algorithm to a Robotic Classifier

    E-Print Network [OSTI]

    Oates, Robert; Aickelin, Uwe; Garibaldi, Jonathan M; Kendall, Graham

    2010-01-01T23:59:59.000Z

    The dendritic cell algorithm is an immune-inspired technique for processing time-dependant data. Here we propose it as a possible solution for a robotic classification problem. The dendritic cell algorithm is implemented on a real robot and an investigation is performed into the effects of varying the migration threshold median for the cell population. The algorithm performs well on a classification task with very little tuning. Ways of extending the implementation to allow it to be used as a classifier within the field of robotic security are suggested.

  17. WAC - 232-12-014 Wildlife Classified as Endangered Species | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga,planningFlowmeterUtah:Information Wildlife Classified as

  18. Expenditure Account Codes for use in purchasing goods and services 2/22/12 73110 Express Mail Services

    E-Print Network [OSTI]

    Lien, Jyh-Ming

    73486 ICA Radio Broadcasts 73489 Classified Ads Emp. - Credit 73510 Custodial Maintenance 73511 Grounds Relocation Vendor 73820 Travel-Personal Vehicle 73821 Candidate Personal Vehicle 73830 Airfare 73831 Vehicle Employee Training Travel 73894 Airfare, Foreign 73910 Non IT Emp Training Course Local 73911 IT Emp

  19. Electronic nose with a new feature reduction method and a multi-linear classifier for Chinese liquor classification

    SciTech Connect (OSTI)

    Jing, Yaqi; Meng, Qinghao, E-mail: qh-meng@tju.edu.cn; Qi, Peifeng; Zeng, Ming; Li, Wei; Ma, Shugen [Tianjin Key Laboratory of Process Measurement and Control, Institute of Robotics and Autonomous Systems, School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072 (China)] [Tianjin Key Laboratory of Process Measurement and Control, Institute of Robotics and Autonomous Systems, School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072 (China)

    2014-05-15T23:59:59.000Z

    An electronic nose (e-nose) was designed to classify Chinese liquors of the same aroma style. A new method of feature reduction which combined feature selection with feature extraction was proposed. Feature selection method used 8 feature-selection algorithms based on information theory and reduced the dimension of the feature space to 41. Kernel entropy component analysis was introduced into the e-nose system as a feature extraction method and the dimension of feature space was reduced to 12. Classification of Chinese liquors was performed by using back propagation artificial neural network (BP-ANN), linear discrimination analysis (LDA), and a multi-linear classifier. The classification rate of the multi-linear classifier was 97.22%, which was higher than LDA and BP-ANN. Finally the classification of Chinese liquors according to their raw materials and geographical origins was performed using the proposed multi-linear classifier and classification rate was 98.75% and 100%, respectively.

  20. Comparing the accuracy of machine classified landsat imagery to manually delineated aerial photographs for county appraisal district use 

    E-Print Network [OSTI]

    Falter, Matthew Palmer

    1995-01-01T23:59:59.000Z

    (Hopkins et al. , 1988; Benson and DeGloria, 1985; Moore and Bauer, 1990; Bolstad and Lillesand, 1992). However, the high spatial resolution does not have as vital an impact on computer classification as the increased spectral information (Hopkins et al.... , 1988; Williams et al. , 1984; Latty and Hoffer, 1981; Moore and Bauer, 1990). This fact leads to the decision that TN data is better suited for classifying forests for inventory purposes. Classifying forest types digitally can be accomplished...

  1. Sixty Percent Conceptual Design Report: Enterprise Accountability System for Classified Removable Electronic Media

    SciTech Connect (OSTI)

    B. Gardiner; L.Graton; J.Longo; T.Marks, Jr.; B.Martinez; R. Strittmatter; C.Woods; J. Joshua

    2003-05-03T23:59:59.000Z

    Classified removable electronic media (CREM) are tracked in several different ways at the Laboratory. To ensure greater security for CREM, we are creating a single, Laboratory-wide system to track CREM. We are researching technology that can be used to electronically tag and detect CREM, designing a database to track the movement of CREM, and planning to test the system at several locations around the Laboratory. We focus on affixing ''smart tags'' to items we want to track and installing gates at pedestrian portals to detect the entry or exit of tagged items. By means of an enterprise database, the system will track the entry and exit of tagged items into and from CREM storage vaults, vault-type rooms, access corridors, or boundaries of secure areas, as well as the identity of the person carrying an item. We are considering several options for tracking items that can give greater security, but at greater expense.

  2. Classifying and avoiding singularities in the alternative gravity dark energy models

    E-Print Network [OSTI]

    Capozziello, S; Nojiri, S; Odintsov, S D

    2009-01-01T23:59:59.000Z

    The future finite-time singularities emerging in alternative gravity dark energy models are classified and studied in Jordan and Einstein frames. It is shown that such singularity may occur even in flat spacetime for the specific choice of the effective potential. The conditions for the avoidance of finite-time singularities are presented and discussed. The problem is reduced to the study of a scalar field evolving on an effective potential by using the conformal transformations. Some viable modified gravity models are analyzed in detail and the way to cure singularity is considered by introducing the higher-order curvature corrections. These results maybe relevant for the resolution of the conjectured problem in the relativistic star formation in such modified gravity where finite-time singularity is also manifested.

  3. Classifying and avoiding singularities in the alternative gravity dark energy models

    E-Print Network [OSTI]

    S. Capozziello; M. De Laurentis; S. Nojiri; S. D. Odintsov

    2009-06-30T23:59:59.000Z

    The future finite-time singularities emerging in alternative gravity dark energy models are classified and studied in Jordan and Einstein frames. It is shown that such singularity may occur even in flat spacetime for the specific choice of the effective potential. The conditions for the avoidance of finite-time singularities are presented and discussed. The problem is reduced to the study of a scalar field evolving on an effective potential by using the conformal transformations. Some viable modified gravity models are analyzed in detail and the way to cure singularity is considered by introducing the higher-order curvature corrections. These results maybe relevant for the resolution of the conjectured problem in the relativistic star formation in such modified gravity where finite-time singularity is also manifested.

  4. Flow injection analysis of phenolic compounds with carbon paste electrodes modified with tyrosinase purchased from different companies

    SciTech Connect (OSTI)

    Lindgren, A.; Emneus, J.; Csoeregi, E.; Gorton, L.; Marko-Varga, G. [Univ. of Lund (Sweden); Ruzgas, T. [Inst. of Biochemistry, Vilnius (Lithuania)

    1996-05-01T23:59:59.000Z

    Tyrosinase-modified carbon paste electrodes were prepared using lyophilised powder of the enzyme purchased from different companies. The selectivity of these electrodes for nine phenolic compounds, including six substituted catechols, has been studied. The signals obtained for catechol were always higher than those found for other phenolic compounds. Cyclic voltammetry and flow injection measurements indicated that the response of the tyrosinase-modified carbon paste electrodes was limited by the rate of the enzymatic oxidation of catechols. Different approaches of past electrode preparation have been studied and compared. Direct mixing of enzyme into the graphite powder doped with the osmium based mediator, resulted in the highest sensitivity for the studied substrates. However, substrate selectivity was found to be dependent on the source of enzyme used for electrode preparation.

  5. Improving the chances of successful protein structure determination with a random forest classifier

    SciTech Connect (OSTI)

    Jahandideh, Samad [Sanford-Burnham Medical Research Institute, 10901 North Torrey Pines Road, La Jolla, CA 92307 (United States); Joint Center for Structural Genomics, (United States); Jaroszewski, Lukasz; Godzik, Adam, E-mail: adam@burnham.org [Sanford-Burnham Medical Research Institute, 10901 North Torrey Pines Road, La Jolla, CA 92307 (United States); Joint Center for Structural Genomics, (United States); University of California, San Diego, La Jolla, California (United States)

    2014-03-01T23:59:59.000Z

    Using an extended set of protein features calculated separately for protein surface and interior, a new version of XtalPred based on a random forest classifier achieves a significant improvement in predicting the success of structure determination from the primary amino-acid sequence. Obtaining diffraction quality crystals remains one of the major bottlenecks in structural biology. The ability to predict the chances of crystallization from the amino-acid sequence of the protein can, at least partly, address this problem by allowing a crystallographer to select homologs that are more likely to succeed and/or to modify the sequence of the target to avoid features that are detrimental to successful crystallization. In 2007, the now widely used XtalPred algorithm [Slabinski et al. (2007 ?), Protein Sci.16, 2472–2482] was developed. XtalPred classifies proteins into five ‘crystallization classes’ based on a simple statistical analysis of the physicochemical features of a protein. Here, towards the same goal, advanced machine-learning methods are applied and, in addition, the predictive potential of additional protein features such as predicted surface ruggedness, hydrophobicity, side-chain entropy of surface residues and amino-acid composition of the predicted protein surface are tested. The new XtalPred-RF (random forest) achieves significant improvement of the prediction of crystallization success over the original XtalPred. To illustrate this, XtalPred-RF was tested by revisiting target selection from 271 Pfam families targeted by the Joint Center for Structural Genomics (JCSG) in PSI-2, and it was estimated that the number of targets entered into the protein-production and crystallization pipeline could have been reduced by 30% without lowering the number of families for which the first structures were solved. The prediction improvement depends on the subset of targets used as a testing set and reaches 100% (i.e. twofold) for the top class of predicted targets.

  6. In 2012 the UNL Women's Center was awarded $650 to purchase a DVD/VCR combination and a portable multimedia LCD projector. The DVD/VCR device is used in the counseling/meeting

    E-Print Network [OSTI]

    Farritor, Shane

    In 2012 the UNL Women's Center was awarded $650 to purchase a DVD/VCR combination and a portable students have benefitted from this purchase and more will continue to do so. The portable multimedia LCD to allow our student Peer Educators to show power-point presentations about relationship violence

  7. AE Work Team Short Roster Strategic Purchasing-Scientific Supplies 2012-1-6 v1.1 dgk Project Member Team Role UW-Madison Role

    E-Print Network [OSTI]

    Sheridan, Jennifer

    AE Work Team Short Roster Strategic Purchasing- Scientific Supplies 2012-1-6 v1.1 dgk Project Member Team Role UW-Madison Role Mike Hardiman Team Leader Business Services Mike Matschull Team Member Business Services Janet Bresnahan Team Member Business Services Kathy Jaglin Team Member WI State

  8. AE Work Team Short Roster Strategic Purchasing-Office Supplies v 1.1 2012-01-06 dgk Project Member Team Role UW-Madison Role

    E-Print Network [OSTI]

    Sheridan, Jennifer

    AE Work Team Short Roster Strategic Purchasing- Office Supplies v 1.1 2012-01-06 dgk Project Member Team Role UW-Madison Role Tammy Starr Team Leader Office of Human Resources (OHR) Mike Marean Team Member Business Services Don Schwoerer Team Member University Housing Tammi Simpson Team Member College

  9. Environmental assessment for the purchase of Russian low enriched uranium derived from the dismantlement of nuclear weapons in the countries of the former Soviet Union

    SciTech Connect (OSTI)

    Not Available

    1994-01-01T23:59:59.000Z

    The United States is proposing to purchase from the Russian Federation low enriched uranium (LEU) derived from highly enriched uranium (HEU) resulting from the dismantlement of nuclear weapons in the countries of the former Soviet Union. The purchase would be accomplished through a proposed contract requiring the United States to purchase 15,250 metric tons (tonnes) of LEU (or 22,550 tonnes of UF{sub 6}) derived from blending 500 metric tones uranium (MTU) of HEU from nuclear warheads. The LEU would be in the form of uranium hexafluoride (UF{sub 6}) and would be converted from HEU in Russia. The United States Enrichment Corporation (USEC) is the entity proposing to undertake the contract for purchase, sale, and delivery of the LEU from the Russian Federation. The US Department of Energy (DOE) is negotiating the procedure for gaining confidence that the LEU is derived from HEU that is derived from dismantled nuclear weapons (referred to as ``transparency),`` and would administer the transparency measures for the contract. There are six environments that could potentially be affected by the proposed action; marine (ocean); US ports of entry; truck or rail transportation corridors; the Portsmouth GDP; the electric power industry; and the nuclear fuel cycle industry. These environmental impacts are discussed.

  10. In 2007 a consortium of public purchasers met to discuss the current initiatives to support sustainable procurement in Manitoba. The discussions identified a need for a

    E-Print Network [OSTI]

    Martin, Jeff

    sustainable procurement in Manitoba. The discussions identified a need for a web based tool to provide practical knowledge to public purchasers. A Sustainable Procurement website working group was established, the working group began meeting on a monthly basis to develop the architecture and content of the website

  11. COSMOLOGY WITH PHOTOMETRICALLY CLASSIFIED TYPE Ia SUPERNOVAE FROM THE SDSS-II SUPERNOVA SURVEY

    SciTech Connect (OSTI)

    Campbell, Heather; D'Andrea, Chris B; Nichol, Robert C.; Smith, Mathew; Lampeitl, Hubert [Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth, PO1 3FX (United Kingdom)] [Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth, PO1 3FX (United Kingdom); Sako, Masao [Department of Physics and Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, PA 19104 (United States)] [Department of Physics and Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, PA 19104 (United States); Olmstead, Matthew D.; Brown, Peter; Dawson, Kyle S. [Department of Physics and Astronomy, University of Utah, 115 South 1400 East 201, Salt Lake City, UT 84112 (United States)] [Department of Physics and Astronomy, University of Utah, 115 South 1400 East 201, Salt Lake City, UT 84112 (United States); Bassett, Bruce [Mathematics Department, University of Cape Town, Rondebosch, Cape Town (South Africa)] [Mathematics Department, University of Cape Town, Rondebosch, Cape Town (South Africa); Biswas, Rahul; Kuhlmann, Steve [Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439 (United States)] [Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439 (United States); Cinabro, David [Department of Physics and Astronomy, Wayne State University, Detroit, MI 48126 (United States)] [Department of Physics and Astronomy, Wayne State University, Detroit, MI 48126 (United States); Dilday, Ben [Las Cumbres Observatory Global Telescope Network, 6740 Cortona Dr., Suite 102, Goleta, CA 93117 (United States)] [Las Cumbres Observatory Global Telescope Network, 6740 Cortona Dr., Suite 102, Goleta, CA 93117 (United States); Foley, Ryan J. [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States)] [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); Frieman, Joshua A. [Department of Astronomy and Astrophysics, The University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637 (United States)] [Department of Astronomy and Astrophysics, The University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637 (United States); Garnavich, Peter [Department of Physics, University of Notre Dame, Notre Dame, IN 46556 (United States)] [Department of Physics, University of Notre Dame, Notre Dame, IN 46556 (United States); Hlozek, Renee [Department of Astrophysical Sciences, Princeton University, Princeton, NJ 08544 (United States)] [Department of Astrophysical Sciences, Princeton University, Princeton, NJ 08544 (United States); Jha, Saurabh W. [Department of Physics and Astronomy, Rutgers University, 136 Frelinghuysen Road, Piscataway, NJ 08854 (United States)] [Department of Physics and Astronomy, Rutgers University, 136 Frelinghuysen Road, Piscataway, NJ 08854 (United States); Kunz, Martin, E-mail: Heather.Campbell@port.ac.uk [African Institute for Mathematical Sciences, Muizenberg, 7945, Cape Town (South Africa)] [African Institute for Mathematical Sciences, Muizenberg, 7945, Cape Town (South Africa); and others

    2013-02-15T23:59:59.000Z

    We present the cosmological analysis of 752 photometrically classified Type Ia Supernovae (SNe Ia) obtained from the full Sloan Digital Sky Survey II (SDSS-II) Supernova (SN) Survey, supplemented with host-galaxy spectroscopy from the SDSS-III Baryon Oscillation Spectroscopic Survey. Our photometric-classification method is based on the SN classification technique of Sako et al., aided by host-galaxy redshifts (0.05 < z < 0.55). SuperNova ANAlysis simulations of our methodology estimate that we have an SN Ia classification efficiency of 70.8%, with only 3.9% contamination from core-collapse (non-Ia) SNe. We demonstrate that this level of contamination has no effect on our cosmological constraints. We quantify and correct for our selection effects (e.g., Malmquist bias) using simulations. When fitting to a flat {Lambda}CDM cosmological model, we find that our photometric sample alone gives {Omega} {sub m} = 0.24{sup +0.07} {sub -0.05} (statistical errors only). If we relax the constraint on flatness, then our sample provides competitive joint statistical constraints on {Omega} {sub m} and {Omega}{sub {Lambda}}, comparable to those derived from the spectroscopically confirmed Three-year Supernova Legacy Survey (SNLS3). Using only our data, the statistics-only result favors an accelerating universe at 99.96% confidence. Assuming a constant wCDM cosmological model, and combining with H {sub 0}, cosmic microwave background, and luminous red galaxy data, we obtain w = -0.96{sup +0.10} {sub -0.10}, {Omega} {sub m} = 0.29{sup +0.02} {sub -0.02}, and {Omega} {sub k} = 0.00{sup +0.03} {sub -0.02} (statistical errors only), which is competitive with similar spectroscopically confirmed SNe Ia analyses. Overall this comparison is reassuring, considering the lower redshift leverage of the SDSS-II SN sample (z < 0.55) and the lack of spectroscopic confirmation used herein. These results demonstrate the potential of photometrically classified SN Ia samples in improving cosmological constraints.

  12. Leadership At Lunch We are pleased to announce an opportunity for classified staff and others to come

    E-Print Network [OSTI]

    Sheridan, Jennifer

    Leadership At Lunch 2012-13 We are pleased to announce an opportunity for classified staff and others to come together for an hour, twice each month, and explore the themes of the Leadership Institute of the Leadership Institute without an extended time commitment. Participants will review articles, view films

  13. NON-MELANOMA SKIN LESION CLASSIFICATION USING COLOUR IMAGE DATA IN A HIERARCHICAL K-NN CLASSIFIER

    E-Print Network [OSTI]

    Fisher, Bob

    NON-MELANOMA SKIN LESION CLASSIFICATION USING COLOUR IMAGE DATA IN A HIERARCHICAL K-NN CLASSIFIER an algorithm for classification of non- melanoma skin lesions based on a novel hierarchical K- Nearest lesions, including two non-melanoma cancer types. This is the most extensive published result on non-melanoma

  14. PRL_2nd_revise_3 -WWW--07/06/021 Improving the performance of radial basis function classifiers in

    E-Print Network [OSTI]

    Pont, Michael J.

    PRL_2nd_revise_3 - WWW--07/06/021 Improving the performance of radial basis function classifiers, 23: 569-577. 1 To whom correspondence should be addressed. #12;PRL_2nd_revise_3 - WWW--07/06/022 1 and other application areas, methods for identifying the optimal threshold values are required. #12;PRL_2nd

  15. Process Knowledge Characterization of Radioactive Waste at the Classified Waste Landfill Remediation Project Sandia National Laboratories, Albuquerque, New Mexico

    SciTech Connect (OSTI)

    DOTSON,PATRICK WELLS; GALLOWAY,ROBERT B.; JOHNSON JR,CARL EDWARD

    1999-11-03T23:59:59.000Z

    This paper discusses the development and application of process knowledge (PK) to the characterization of radioactive wastes generated during the excavation of buried materials at the Sandia National Laboratories/New Mexico (SNL/NM) Classified Waste Landfill (CWLF). The CWLF, located in SNL/NM Technical Area II, is a 1.5-acre site that received nuclear weapon components and related materials from about 1950 through 1987. These materials were used in the development and testing of nuclear weapon designs. The CWLF is being remediated by the SNL/NM Environmental Restoration (ER) Project pursuant to regulations of the New Mexico Environment Department. A goal of the CWLF project is to maximize the amount of excavated materials that can be demilitarized and recycled. However, some of these materials are radioactively contaminated and, if they cannot be decontaminated, are destined to require disposal as radioactive waste. Five major radioactive waste streams have been designated on the CWLF project, including: unclassified soft radioactive waste--consists of soft, compatible trash such as paper, plastic, and plywood; unclassified solid radioactive waste--includes scrap metal, other unclassified hardware items, and soil; unclassified mixed waste--contains the same materials as unclassified soft or solid radioactive waste, but also contains one or more Resource Conservation and Recovery Act (RCRA) constituents; classified radioactive waste--consists of classified artifacts, usually weapons components, that contain only radioactive contaminants; and classified mixed waste--comprises radioactive classified material that also contains RCRA constituents. These waste streams contain a variety of radionuclides that exist both as surface contamination and as sealed sources. To characterize these wastes, the CWLF project's waste management team is relying on data obtained from direct measurement of radionuclide activity content to the maximum extent possible and, in cases where direct measurement is not technically feasible, from accumulated PK of the excavated materials.

  16. Department of meDicine CliniCal & TranslaTional

    E-Print Network [OSTI]

    He, Chuan

    regulatory mechanisms in primates" 9:15­9:45am Lucy Godley, MD, PhD (Associate Professor of MedicineTERNOONsEssION To regisTer go To: http://tinyurl.com/l46hcem or email: medvicechair@medicine.bsd.uchicago.edu 5807 South

  17. tional prizes, Mayr's major contributions to the field of evolution stretch back well

    E-Print Network [OSTI]

    Palumbi, Stephen

    - graphs, and commentaries in between. He has contributed a great deal of hard data about evolution, but he--then a world powerhouse of evolu- tionary biology. The success of those lectures led naturally to Systemat- ics

  18. Abstract An important principle of the func-tional organization of plant cells is the targeting

    E-Print Network [OSTI]

    Zaiane, Osmar R.

    -dimensional gel electrophoresis, tandem mass spectrometry (LC-MS/MS) and de novo sequencing. Another high, plastocyanin-like domains, copper­zinc superoxide dismutases, gamma-thi- oinins, thaumatins, ubiquitins napus Ć Extracellular proteins Ć Proteomics Abbreviations MS mass spectrometry DTT dithiothreitol IPG

  19. Proposal for the award of a blanket purchase contract for the supply, installation, commissioning and maintenance of electrical switchgear operating at 18kV and 3.3 kV

    E-Print Network [OSTI]

    2015-01-01T23:59:59.000Z

    Proposal for the award of a blanket purchase contract for the supply, installation, commissioning and maintenance of electrical switchgear operating at 18kV and 3.3 kV

  20. Proposal for the Purchase, Without a Call for Tenders, of Thyristor Assemblies to be Fitted into the PS Magnet Power Supply as Replacement for the Mercury-Arc Rectifiers

    E-Print Network [OSTI]

    1977-01-01T23:59:59.000Z

    Proposal for the Purchase, Without a Call for Tenders, of Thyristor Assemblies to be Fitted into the PS Magnet Power Supply as Replacement for the Mercury-Arc Rectifiers

  1. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART B: CYBERNETICS, VOL. 30, NO. 4, AUGUST 2000 501 How Good Are Fuzzy If-Then Classifiers?

    E-Print Network [OSTI]

    Kuncheva, Ludmila I.

    -then systems (TSK), pattern recognition, theoretical result. I. INTRODUCTION FUZZY rule-based classifiers rules (all combinations of linguistic labels on the input features), the fuzzy TSK model is a lookup of such classifiers, among which are neuro-fuzzy models [11], [12], [16], fuzzy systems constructed using genetic

  2. Solar Power Purchase Agreements

    Energy Savers [EERE]

    Energy Manager, City of Minneapolis Direct Ownership * Financial: Even at 3kW installed cost, simple payback is 18 years (initial electricity cost of 0.10kWh and 3%year...

  3. Green Power Purchasing Commitment

    Broader source: Energy.gov [DOE]

    In April 2007, Massachusetts Gov. Deval Patrick signed Executive Order 484, titled “Leading by Example: Clean Energy and Efficient Buildings.” This order establishes numerous energy targets and...

  4. Austin- Green Power Purchasing

    Broader source: Energy.gov [DOE]

    Under the Austin Climate Protection Plan, the City Council has set numerous goals for renewable energy, energy efficiency, and carbon emission reductions with the overall goal of making Austin a...

  5. Volume Purchasing Alliances

    Broader source: Energy.gov [DOE]

    Economies of scale can potentially reduce first costs of capital expenditures, given that price quotes for LED products often vary significantly by the size of the order, particularly when less...

  6. Power Purchase Agreements Update

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

    could be negotiated at time of option or established in original contract - Must be a "true" option, requiring: 1) No assumption that the option will be exercised 2) No...

  7. Green Power Purchasing

    Broader source: Energy.gov [DOE]

    In 2003, Maine's governor established a goal for the state government to buy at least 50% of its electricity from "reasonably priced" renewable-power sources, paid for by energy conservation...

  8. Green Power Purchasing

    Broader source: Energy.gov [DOE]

    Eligible resources include tidal and wave power, fuel cells using renewable fuels, hydropower facilities less than 60 megawatts (MW), solar thermal-electric systems, photovoltaics (PV), wind,...

  9. Green Power Purchase Plan

    Broader source: Energy.gov [DOE]

    Class I renewable energy resources include solar, wind, new sustainable biomass, landfill gas, fuel cells (using renewable or non-renewable fuels), ocean thermal power, wave or tidal power, low...

  10. Guarding against purchase scams

    SciTech Connect (OSTI)

    Arkin, J.

    1986-05-01T23:59:59.000Z

    Every business owner who sells a credit, e.g., the sale by the manufacturer, jobber, or wholesaler to a retail outlet, faces some risk. In recent years the FBI has had occasion to investigate a form of fraud being perpetrated upon those who sell on credit. However, the risk can be lessened if the firm making the sales on credit takes precautionary measures. Some of these measures are listed and discussed.

  11. CONTRACTOR PURCHASING SYSTEM REVIEWS

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJune 2,The BigSidingState6Report,COMMENTS ONPRGM NAME PRGM OFC

  12. CONDITIONS OF PURCHASE

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

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

  13. CONDITIONS OF PURCHASE

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced. C o w l i t z C o . C l a r kiVP-^"^^?CONCEPTUAL DIAGRAM of 2

  14. Power Purchase Agreements

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of Contamination in235-1Department of60

  15. List of currently classified documents relative to Hanford Production Facilities Operations originated on the Hanford Site between 1961 and 1972

    SciTech Connect (OSTI)

    Not Available

    1993-04-01T23:59:59.000Z

    The United States Department of Energy (DOE) has declared that all Hanford plutonium production- and operations-related information generated between 1944 and 1972 is declassified. Any documents found and deemed useful for meeting Hanford Environmental Dose Reconstruction (HEDR) objectives may be declassified with or without deletions in accordance with DOE guidance by Authorized Derivative Declassifiers. The September 1992, letter report, Declassifications Requested by the Technical Steering Panel of Hanford Documents Produced 1944--1960, (PNWD-2024 HEDR UC-707), provides an important milestone toward achieving a complete listing of documents that may be useful to the HEDR Project. The attached listing of approximately 7,000 currently classified Hanford-originated documents relative to Hanford Production Facilities Operations between 1961 and 1972 fulfills TSP Directive 89-3. This list does not include such titles as the Irradiation Processing Department, Chemical Processing Department, and Hanford Laboratory Operations monthly reports generated after 1960 which have been previously declassified with minor deletions and made publicly available. Also Kaiser Engineers Hanford (KEH) Document Control determined that no KEH documents generated between January 1, 1961 and December 31, 1972 are currently classified. Titles which address work for others have not been included because Hanford Site contractors currently having custodial responsibility for these documents do not have the authority to determine whether other than their own staff have on file an appropriate need-to-know. Furthermore, these documents do not normally contain information relative to Hanford Site operations.

  16. A report to Congress on a role for federal purchasing in commercializing new energy-efficient and renewable-energy technologies

    SciTech Connect (OSTI)

    NONE

    1997-12-16T23:59:59.000Z

    The purpose of this study is to satisfy the requirements of Section 152 of the Energy Policy Act of 1992 (EPAct 92), which directs the Secretary of Energy to ``evaluate the potential use of the purchasing power of the Federal government to promote the development and commercialization of energy efficient products`` (US Congress 1992). Here, purchasing power implies a market presence by the Federal government that is large enough to influence decisions by manufacturers and suppliers about new-product introduction. In recent years, as energy use has become more efficient in the United States in both the public and private sectors, a major contributor to this transition has been the development of innovative technologies and products that reduce the use of energy and/or that use renewable forms of energy. Although the Nation`s efforts toward greater efficiency have been impressive, there are still many opportunities for the widespread introduction of even more energy-saving innovations. This report outlines the actions that DOE can take, in partnership with other Federal agencies, to address the barriers and realize the opportunities from commercializing new technologies.

  17. U.S. Residential Photovoltaic (PV) System Prices, Q4 2013 Benchmarks: Cash Purchase, Fair Market Value, and Prepaid Lease Transaction Prices

    SciTech Connect (OSTI)

    Davidson, C.; James, T. L.; Margolis, R.; Fu, R.; Feldman, D.

    2014-10-01T23:59:59.000Z

    The price of photovoltaic (PV) systems in the United States (i.e., the cost to the system owner) has dropped precipitously in recent years, led by substantial reductions in global PV module prices. This report provides a Q4 2013 update for residential PV systems, based on an objective methodology that closely approximates the book value of a PV system. Several cases are benchmarked to represent common variation in business models, labor rates, and module choice. We estimate a weighted-average cash purchase price of $3.29/W for modeled standard-efficiency, polycrystalline-silicon residential PV systems installed in the United States. This is a 46% decline from the 2013-dollar-adjusted price reported in the Q4 2010 benchmark report. In addition, this report frames the cash purchase price in the context of key price metrics relevant to the continually evolving landscape of third-party-owned PV systems by benchmarking the minimum sustainable lease price and the fair market value of residential PV systems.

  18. List of currently classified documents relative to Hanford Operations and of potential use in the Columbia River Comprehensive Impact Assessment, January 1, 1973--June 20, 1994

    SciTech Connect (OSTI)

    Miley, T.B.; Huesties, L.R.

    1995-02-01T23:59:59.000Z

    The Columbia River Comprehensive Impact Assessment (CRCIA) Project seeks to estimate the current risk from the Columbia River resulting from past and present Hanford activities. To resolve the question of the current risk, it is necessary for the CRCIA Project to have access to any classified information that may be relevant to this study. The purpose of this report is to present the results of the search for relevant classified information. There are two classified matter control centers operated by two prime contractors at the Hanford Site. One is operated by Pacific Northwest Laboratory (PNL) and the other is operated by Westinghouse Hanford Company (WHC). Only the WHC collection contained information relevant to a study of the Columbia River in the time frame of interest: January 1, 1973 through June 20, 1994. A list of the classified documents in the WHC collection is maintained in the WHC Classified Document Control database. The WHC Classified Document Control database was searched. The search criteria were the dates of interest and the basic keywords used for the CRCIA Project`s data compendium (Eslinger et al. 1994). All Hanford-generated, Hanford-related entries that were applicable to the CRCIA Project and the dates of interest were provided. The resulting list of 477 titles comprises the Appendix of this report. The information give for each title is exactly as it appears in the database. Any inconsistencies are the result of duplicating the database.

  19. Proposal to negotiate two blanket purchase contracts, without competitive tendering, for the supply of high-power RF grid-tubes for the CERN accelerators

    E-Print Network [OSTI]

    2005-01-01T23:59:59.000Z

    This document concerns the award of two contracts, without competitive tendering, for the supply of different types of RF high-power grid-tubes (triodes and tetrodes) for the operation of CERN accelerators. For the reasons set out in this document, the Finance Committee is invited to agree to the negotiation of two blanket purchase contracts, without competitive tendering, for the supply of different types of RF high-power grid-tubes (triodes and tetrodes) with: - THALES (FR) for a total amount of 6 800 000 euros (10 540 000 Swiss francs) for a period of five years, subject to revision for inflation from January 2006; - RICHARDSON (DE) for a total amount of 1 100 000 euros (1 705 000 Swiss francs) for a period of five years, subject to revision for inflation from January 2006.

  20. Classified Assignments Issue 1

    E-Print Network [OSTI]

    Multiple Contributors

    1981-01-01T23:59:59.000Z

    ^'kJL? \\T: ^ C*m"' Fadd!^' Sp?Ck and ^C?y are at'the'mercy or the elements fri"ndshiJ?UCh' ^ NanCV KiPPaXl McC?y *+hG y?Un9 Lieu+e"ant Kirk start along s,? .j,::,sis.VK.xr:'wr^ts?-;?brr, Revisited' published in 'New Voyages'. eird P,ape+ tr^i Kn? i...

  1. Restricted Data Classifiers Course

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin ofEnergy at Waste-to-Energy usingof Enhanced Dr.ResponseEnergyfor

  2. classified IG-0633

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently20,000 Russian Nuclear Warheads|ofEventsWorkshopY-12a Multi-User Network

  3. Fermilab Today - Classifieds

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC) Environmental Assessments (EA)Budget » FYU.S. DOEFigure 1. The2015July

  4. Dell recommends Windows. All are subject to approval acceptance by Dell. Offers subject to change, not combinable with all other offers. Taxes, shipping, handling and other fees apply. Valid for U.S. Dell Member Purchase Program/Dell University new purcha

    E-Print Network [OSTI]

    Derisi, Joseph

    Purchase Program/Dell University new purchases only. Dell reserves the right to cancel orders arising from means 1 billion bytes and TB means 1 trillion bytes; actual capacity varies with preloaded material balance or $20, whichever is greater. Minimum Interest Charge is $2.00. Rates range from 19.99% - 29

  5. The University of Rochester Revenue Bonds, Series 2003B (the "Series 2003B Bonds") were issued on November 6, 2003 as auction rate securities and are subject to mandatory tender for purchase and remarketing on September 3, 2008 (the "Conversion Date") in

    E-Print Network [OSTI]

    Portman, Douglas

    on November 6, 2003 as auction rate securities and are subject to mandatory tender for purchase Fund and any Bond Purchase Fund) established under the Authority's University of Rochester Revenue Bond has no taxing power. Description: The Series 2003B Bonds will be reoffered on their Conversion Date

  6. Protecting Our Water: Tracking Sources of Bacterial Contamination Numerous surface waterbodies in Texas are classified as having high levels of fecal coliform bacteria, an indicator of fecal pollution.

    E-Print Network [OSTI]

    in Texas are classified as having high levels of fecal coliform bacteria, an indicator of fecal pollution. coli and other fecal coliform bacteria do not provide information on whether the source of pollution of pollution need to be identified to implement effective pollution control strategies to improve water quality

  7. A real time model to forecast 24 hours ahead, ozone peaks and exceedance levels. Model based on artificial neural networks, neural classifier and weather predictions.

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    on artificial neural networks, neural classifier and weather predictions. Application in an urban atmosphere - will be solved. Keywords: Artificial neural network; Multilayer Perceptron; ozone modelling; statistical stepwise and Software 22, 9 (2007) 1261-1269" DOI : 10.1016/j.envsoft.2006.08.002 #12;Abstract A neural network combined

  8. UW -Madison Inclement Weather Guidelines These policies appear online in the CPPP for classified staff and the UPPP for unclassified staff. The

    E-Print Network [OSTI]

    Wisconsin at Madison, University of

    UW - Madison Inclement Weather Guidelines These policies appear online in the CPPP for classified of as the university's "ice and snow" policy, inclement weather can happen at any time of year (e.g., buildings to inclement weather. Some University services and functions must remain in operation regardless of weather

  9. [1] RUSH (J. J.), Investigation of rotational and vibra-tional freedom in molecules by cross section measu-

    E-Print Network [OSTI]

    Boyer, Edmond

    of the I. A. E. A. Symposium on Inelastic Scattering of Neutrons in Solids and Liquids, Vienna, 1960, 336.) and KROH (A.), Proceedings of the I. A. E. A. Symposium on Inelactic Scattering of Neutrons in Solids. Symposium on Inelastic Scattering of Neutrons in Solids and Liquids, Vol. II, Chalk River, 1962, 253. [10

  10. PROHIBITED PURCHASES for the Ames Laboratory Purchase Card

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

    is a list of items that have been determined to be prohibited: Equipment Computing Devices (e.g. desktop, laptop, tablets, thin clients, mini-PCs) Servers Copiers...

  11. PROHIBITED PURCHASES for the Ames Laboratory Purchase Card

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeedingBiomassPPPO Website Directory PPPO WebsitePREP |Dan5, 2013PROHIBITED

  12. INSTRUCTIONMANUAL FOR PURCHASING THIS TELEPHONE

    E-Print Network [OSTI]

    be placed in a built-in installation unless proper ventilation is provided. 8. Never spill liquid on the telephone or push objects of any kind through #12;ventilation slots. Liquid or objects may touch dangerous a telephone during a local thunderstorm. There may be a remote risk of electrical shock from lightning. 11. Do

  13. KFS Purchasing and Accounts Payable

    E-Print Network [OSTI]

    Alpay, S. Pamir

    to x5846(must be signed & dated) #12;9 Enter Payment Terms from the Vendor Application form. If no terms were given, select Net 30 Days. Enter the Vendor Shipping Payment Terms if applicable. Enter to search for a vendor; by Name or Tax Number are some examples. If you do not find the vendor you

  14. KFS Purchasing and Accounts Payable

    E-Print Network [OSTI]

    Alpay, S. Pamir

    Terms from the Vendor Application form. If no terms were given, select Net 30 Days. Enter the Vendor Shipping Payment Terms if applicable. Enter Vendor URL address if applicable. #12;10 Address Tab: Address to search for a vendor; by Name or Tax Number are some examples. If you do not find the vendor you

  15. Montgomery County- Green Power Purchasing

    Broader source: Energy.gov [DOE]

    In October 2000, a group six county agencies, consisting of Montgomery County, Montgomery County Public Schools, Montgomery County Housing Opportunities Commission, Montgomery College, the...

  16. NREL: Sustainable NREL -Green Purchasing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid Integration NRELCost of6DataEnergyPhotographsVideosGreen

  17. C-Mod Purchasing Information

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWPSuccess Stories Siteandscience, and8 FY0 By Kortny Rolston,HYPREO P

  18. Proposal for the award of a blanket purchase contract, without competitive tendering, for the supply of control electronics for the LHC collimation system as well as for various test and measurement e

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    This document concerns the negotiation of a blanket purchase contract for the supply of control electronics for the LHC collimation system as well as for various test and measurement equipment and associated software. The Finance Committee is invited to agree to the negotiation of a contract, without competitive tendering, with NATIONAL INSTRUMENTS (CH) for the supply of control electronics for the LHC collimation system as well as for various test and measurement equipment and associated software for an amount not exceeding 7 000 000 Swiss francs for a period of three years, not subject to revision.

  19. Comparison of Contrast-Enhanced Ultrasound and Computed Tomography in Classifying Endoleaks After Endovascular Treatment of Abdominal Aorta Aneurysms: Preliminary Experience

    SciTech Connect (OSTI)

    Carrafiello, Gianpaolo, E-mail: gcarraf@tin.it; Lagana, Domenico; Recaldini, Chiara; Mangini, Monica; Bertolotti, Elena [University of Insubria, Department of Radiology (Italy); Caronno, Roberto; Tozzi, Matteo; Piffaretti, Gabriele [University of Insubria, Vascular Surgery (Italy); Annibale Genovese, Eugenio; Fugazzola, Carlo [University of Insubria, Department of Radiology (Italy)

    2006-12-15T23:59:59.000Z

    The purpose of the study was to assess the effectiveness of contrast-enhanced ultrasonography (CEUS) in endoleak classification after endovascular treatment of an abdominal aortic aneurysm compared to computed tomography angiography (CTA). From May 2001 to April 2003, 10 patients with endoleaks already detected by CTA underwent CEUS with Sonovue (registered) to confirm the CTA classification or to reclassify the endoleak. In three conflicting cases, the patients were also studied with conventional angiography. CEUS confirmed the CTA classification in seven cases (type II endoleaks). Two CTA type III endoleaks were classified as type II using CEUS and one CTA type II endoleak was classified as type I by CEUS. Regarding the cases with discordant classification, conventional angiography confirmed the ultrasound classification. Additionally, CEUS documented the origin of type II endoleaks in all cases. After CEUS reclassification of endoleaks, a significant change in patient management occurred in three cases. CEUS allows a better attribution of the origin of the endoleak, as it shows the flow in real time. CEUS is more specific than CTA in endoleak classification and gives more accurate information in therapeutic planning.

  20. A HISTORY OF CLASSIFIED ACTIVITIES

    E-Print Network [OSTI]

    INTRODUCTION ..................................................... 5 INITIAL GRAPHITE-REACTOR RESEARCH CALCULATIONS ON FAST-NEUTRON-FISSION OFPUREU-235 ............................................. 7 THE EFFECT ...................................... 8 PLUTONIUM-PRODUCTION REACTORS AND PLUTONIUM-SEPARATION FACILITIES

  1. Fermilab Today - Classified Ad Policy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist. CategoryFebruaryFebruaryInThe, 2015 spacer7,, 20150,2,Aug.Ad

  2. Fermilab Today | Classifieds Ad Form

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist. CategoryFebruaryFebruaryInThe, 2015Ads Subscribe |

  3. Versant tests are automated spoken language tests that are taken on the telephone or computer. If you would like to listen to a sample test, purchase a practice test, or view the test score after taking the test (if applicable), please visit

    E-Print Network [OSTI]

    Blei, Ron

    Versant tests are automated spoken language tests that are taken on the telephone or computer. If you would like to listen to a sample test, purchase a practice test, or view the test score after taking the test (if applicable), please visit www.VersantTest.com PART INSTRUCTIONS · Carefully read

  4. Sunco Oil manufactures three types of gasoline (gas 1, gas 2 and gas 3). Each type is produced by blending three types of crude oil (crude 1, crude 2 and crude 3). The sales price per barrel of gasoline and the purchase price per

    E-Print Network [OSTI]

    Phillips, David

    Sunco Oil manufactures three types of gasoline (gas 1, gas 2 and gas 3). Each type is produced by blending three types of crude oil (crude 1, crude 2 and crude 3). The sales price per barrel of gasoline and the purchase price per barrel of crude oil are given in following table: Gasoline Sale Price per barrel Gas 1

  5. Classifying Three-way Seismic Volcanic Data by Dissimilarity Representation Diana Porro-Mu~noz , Isneri Talavera, Robert P.W. Duin, Mauricio Orozco-Alzate and John Makario Londo~no-Bonilla

    E-Print Network [OSTI]

    Duin, Robert P.W.

    Classifying Three-way Seismic Volcanic Data by Dissimilarity Representation Diana Porro in a natural way. As an example, the classification of seismic volcanic events is used. It is shown features. Keywords-volcanic seismic data, three-way representation, dissimilarity representation

  6. An examination of electronic file transfer between host and microcomputers for the AMPMODNET/AIMNET (Army Material Plan Modernization Network/Acquisition Information Management Network) classified network environment

    SciTech Connect (OSTI)

    Hake, K.A.

    1990-11-01T23:59:59.000Z

    This report presents the results of investigation and testing conducted by Oak Ridge National Laboratory (ORNL) for the Project Manager -- Acquisition Information Management (PM-AIM), and the United States Army Materiel Command Headquarters (HQ-AMC). It concerns the establishment of file transfer capabilities on the Army Materiel Plan Modernization (AMPMOD) classified computer system. The discussion provides a general context for micro-to-mainframe connectivity and focuses specifically upon two possible solutions for file transfer capabilities. The second section of this report contains a statement of the problem to be examined, a brief description of the institutional setting of the investigation, and a concise declaration of purpose. The third section lays a conceptual foundation for micro-to-mainframe connectivity and provides a more detailed description of the AMPMOD computing environment. It gives emphasis to the generalized International Business Machines, Inc. (IBM) standard of connectivity because of the predominance of this vendor in the AMPMOD computing environment. The fourth section discusses two test cases as possible solutions for file transfer. The first solution used is the IBM 3270 Control Program telecommunications and terminal emulation software. A version of this software was available on all the IBM Tempest Personal Computer 3s. The second solution used is Distributed Office Support System host electronic mail software with Personal Services/Personal Computer microcomputer e-mail software running with IBM 3270 Workstation Program for terminal emulation. Test conditions and results are presented for both test cases. The fifth section provides a summary of findings for the two possible solutions tested for AMPMOD file transfer. The report concludes with observations on current AMPMOD understanding of file transfer and includes recommendations for future consideration by the sponsor.

  7. City of Dallas- Green Energy Purchasing

    Broader source: Energy.gov [DOE]

    Furthermore, the Dallas/Fort Worth International Airport is the highest-ranked airport for renewable energy use, separately ranking 7th on the Green Power Partner listing of local government gree...

  8. An analysis of consumer purchasing patterns

    E-Print Network [OSTI]

    Feist, Joseph Clarence

    1991-01-01T23:59:59.000Z

    and attracting new spending. Many of the rural counties in the Panhandle District of Texas are losing substantial retail sales, creating economic leakages that result in the loss of employment and income from the community. Since plugging economic leakages... four-county study regions. The Northwest Panhandle consisted of Dallam, Hartley, Moore, and Sherman Counties, and the North Central Panhandle consisted of Hansford, Hutchinson, Lipscomb, and Ochiltree Counties. Data from the Bureau of Economic...

  9. Policy for Purchases containing Logos and

    E-Print Network [OSTI]

    ://inside.mines.edu/UserFiles/Public%20Relations/Mines%20Graphic %20Standards%20Guide%20February%202012.pdf. 3. Prior to production or altered and must meet the institution's branding standards, which can be found at the following link: http, Associate Director of Auxiliary Services, lgoberis@mines.edu Issued: January 14, 2013 Revised: Graphic

  10. Make the Most of Your Purchasing Power

    E-Print Network [OSTI]

    Bristow, G.; Clendenin, M.; McClure, J. D.

    2004-01-01T23:59:59.000Z

    assistance. Some of the other benefits include: ? Assists in balancing financial resources, strategic and educational objectives, and functional needs ? Provides a logical roadmap ? Establishes priorities based on actual needs ? Allows.... Having a set of guidelines to follow will help staff properly operate and care for equipment and thus lengthen its useful life. Additionally, prepare a technology plan. The district then has a roadmap for the application of technology, and can take...

  11. New Columbia River Estuary purchases benefit salmon

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

    the mouth of the Columbia River to permanently protect riverside habitat for Northwest fish and wildlife, including threatened and endangered salmon and steelhead. The...

  12. Purchase Obligations, Earnings Persistence and Stock Returns

    E-Print Network [OSTI]

    Lee, Kwang June

    2010-01-01T23:59:59.000Z

    Starbucks Corp General Electric Co. • Green coffee and otherbillion Panel B: General Electric Co. ’s 10-K Filing for

  13. Make the Most of Your Purchasing Power 

    E-Print Network [OSTI]

    Bristow, G.; Clendenin, M.; McClure, J. D.

    2004-01-01T23:59:59.000Z

    savings resulting from the previously described chiller, boiler, controls and lighting projects and replaced old chilled and hot water piping. This example highlights the fact that MISD addressed unseen infrastructure items that some approaches...

  14. TEP- Renewable Energy Credit Purchase Program

    Broader source: Energy.gov [DOE]

    '''''Note: The Arizona Corporation Commission (ACC) recently approved modifications to this program. The up-front incentive for residential photovoltaics (PV) has been reduced to $0.10 per watt,...

  15. Solar Power Purchase Agreements | Department of Energy

    Office of Environmental Management (EM)

    NREL PV Projects - FUPWG Meeting: "Going Coastal for Energy Efficiency" Tool to Compare Solar Energy Program Financing Options Tucson's Solar Experience: Developing PV with RFPs...

  16. City of Houston- Green Power Purchasing

    Broader source: Energy.gov [DOE]

    In 2007, the City of Houston negotiated a 5-year contract with Reliant Energy for up to 80 MW or 700 million kilowatt-hours (kWh) annually of renewable energy credits (RECs). These RECs will be...

  17. City of Lansing- Green Power Purchasing Policy

    Broader source: Energy.gov [DOE]

    By an executive order from the Mayor's Office, City of Lansing facilities are now required to procure 10% of their energy consumption from renewable sources by 2010, escalating to 15% in 2015 and...

  18. The New Rules for Purchasing Electric Power

    E-Print Network [OSTI]

    Stern, K.

    others, largely because of its size and electricity consumption per customer. Industry today sees these changes manifested in a variety of ways, several of which represent alternative power costs. These include: - conventional published tariffs...

  19. Important Idaho habitat now protected through purchase

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

    3 12 BONNEVILLE POWER ADMINISTRATION FOR IMMEDIATE RELEASE Thursday, June 28, 2012 CONTACT: IDFG, Michael Keckler, 208-287-2870 City of Boise, Adam Park 208-384-4402 BPA, Teresa...

  20. Power Purchase Agreements | Department of Energy

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

    tenants, including state and local governments, to realize the benefits of renewable energy generation without having to own the equipment and pay the upfront capital cost. State...

  1. City of Austin- Green Power Purchasing

    Broader source: Energy.gov [DOE]

    Under the Austin Climate Protection Plan, the City Council has set numerous goals for renewable energy, energy efficiency, and carbon emission reductions with the overall goal of making Austin a ...

  2. City of Ann Arbor- Green Power Purchasing

    Broader source: Energy.gov [DOE]

    The city came short of its 2010 goal, achieving 19.8% renewables by 2010. In April 2011, the City Council passed a new goal to reach 30% renewables by 2015 (compared to 2000 levels) in municipal...

  3. City of Santa Monica- Green Power Purchasing

    Broader source: Energy.gov [DOE]

    The City of Santa Monica made history June 1, 1999, as green electricity began powering all municipal facilities -- including the Santa Monica Airport, City Hall and the Santa Monica Pier -- making...

  4. Dominion Virginia Power- Solar Purchase Program

    Broader source: Energy.gov [DOE]

    The program is considered a pilot program that will last for 5 years, at which point the Dominion will decide whether or not to move forward with a permanent program.

  5. Government Purchase Card Program | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently20,000 RussianBy: Thomas P. D'Agostino,Glen Wattman - Director, OfficeTheDepartmentThe

  6. Power Purchase Agreements | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015of 2005UNS Electric, Inc.Department ofAmountAtomic7951FossilPower North AmericaA

  7. Green Purchasing under DOE Architect Engineer Contracts

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

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

  8. New Columbia River Estuary purchases benefit salmon

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy:Nanowire Solar541,9337, 2011R - 445 CU - 2 3 1New CatalystAdvanced

  9. Property:Purchasers | Open Energy Information

    Open Energy Info (EERE)

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

  10. Government Purchase Card Program | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial602 1,39732 DOEDepartmentEnergy YearsGetGovernment Energy

  11. Power Purchase Agreement Webinars | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHA Administrative Judgea.WorkEconomicPOWER ELECTRONICS

  12. Upcoming Purchasing and Subcontracting Opportunities | NREL

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >Internship Program TheSite Map SiteResearchMichigan addsUpcoming

  13. Purchase, Delivery, and Storage of Gases

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

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

  14. Request Form for Purchases_CAMD.pub

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand Requirements Recently ApprovedReliability TechnologyRenewalReportReportsJ. Bennett

  15. DOE ORP Purchase Card Buyers - Hanford Site

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

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

  16. Important Idaho habitat now protected through purchase

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh School footballHydrogenIT |HotImpact ofVisiting20143 12 BONNEVILLE

  17. Property:EnergyPurchaser | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal PwerPerkins County, Nebraska:PrecourtOid Jump to: navigation,AltFuelVehicle2

  18. Green Power Purchasing | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating AGeothermal/Exploration <GlacialGoldenarticle isinEnergy, LLCLionGreen

  19. Solar Power Purchase Agreements | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014,Zaleski - PolicyWorkSunShot Solar Manufacturing TechnologyofReady

  20. Purchase, Delivery, and Storage of Gases

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah47,193.70COMMUNITY AEROSOL: Shale natural gas

  1. DO NOT MAIL ORIGINAL REQUISITION IF FAXED TO PURCHASING THIS IS NOT A PURCHASE ORDER NUMBER

    E-Print Network [OSTI]

    (CONTINUED) TOTAL 13 ESTIMATED TOTAL OF THE REQUISITION / PO BU(2) ORG (5) FUND (4) ACTIVITY (5) PROJECT (8) FUND (4) ACTIVITY (5) PROJECT (8) ACCOUNT (5) A/U(1) YEAR(4 UNIT MEASURE ESTIMATED UNIT PRICE UNIT PRICE EXTENDED PRICE CATEGORY DESCRIPTION (VENDOR CATALOG

  2. Dynamic Bayesian Combination of Multiple Imperfect Classifiers

    E-Print Network [OSTI]

    Roberts, Stephen

    framework of variational Bayesian inference. We apply the approach to real data from a large citizen science is a distributed citizen science project, in which human agents carry out classification tasks, in this case, Galaxy Zoo Supernovae [28], is part of the highly suc- cessful Zooniverse family of citizen science

  3. New method for classifying construction information

    E-Print Network [OSTI]

    Lee, Sunku

    2001-01-01T23:59:59.000Z

    FOR CONSTRUCTION TECHNOLOGIES Chronological Study of Classification Systems . . Hierarchical and Faceted Classification System . . MasterFormat Classification System . . . . . . . . . . . . . . . SIB & CI/SfB Classification System ISO Classification System... Advantages and Disadvantages of Hierarchical and Faceted Systems . . . . . . 10 2. 2 Masterformat System . 12 2. 3 SfB System 13 2. 4 CVSfB System 2. 5 Standard Frame of ISO Classification System 14 15 2. 6 Structure of Uniclass Facets 18 2. 7...

  4. Classified Information Training | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO OverviewAttachments4 Chairs Meeting - April 2014ChristopherClass Patent

  5. Fermilab Today | Classified Ads | Archive - 2015

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist. CategoryFebruaryFebruaryInThe, 2015Ads Subscribe | Contact

  6. Briefing, Restricted Data Classifiers | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T, Inc.'s ReplyApplicationCommittee |FY14JuneforUtilizationEnergy For

  7. Mutation in and lack of expression of tyrosinase-related protein-1 (TRP-1) in melanocytes from an individual with brown oculocutaneous albinism: A new subtype of albinism classified as {open_quotes}OCA3{close_quotes}

    SciTech Connect (OSTI)

    Boissy, R.E.; Zhao, H.; Austin, L.M.; Boissy, Y.L.; Zhao, Y. [Univ. of Cincinnati College of Medicine, OH (United States)] [and others

    1996-06-01T23:59:59.000Z

    Most types of human oculocutaneous albinism (OCA) result from mutations in the gene for tyrosinase (OCA1) or the P protein (OCA2), although other types of OCA have been described but have not been mapped to specific loci. Melanocytes were cultured from an African-American with OCA, who exhibited the phenotype of Brown OCA, and his normal fraternal twin. Melanocytes cultured from the patient with OCA and the normal twin appeared brown versus black, respectively. Melanocytes from both the patient with OCA and the normal twin demonstrated equal amounts of NP-40-soluble melanin; however, melanocytes from the patient with OCA contained only 7% of the amount of insoluble melanin found from the normal twin. Tyrosinase-related protein-1 (TRP-1) was not detected in the OCA melanocytes by use of various anti-TRP-1 probes. Furthermore, transcripts for TRP-1 were absent in cultured OCA melanocytes. The affected twin was homozygous for a single-bp deletion in exon 6, removing an A in codon 368 and leading to a premature stop at codon 384. Tyrosine hydroxylase activity of the OCA melanocytes was comparable to controls when assayed in cell lysates but was only 30% of controls when assayed in intact cells. We conclude that this mutation of the human TRP-1 gene affects its interaction with tyrosinase, resulting in dysregulation of tyrosinase activity, promotes the synthesis of brown versus black melanin, and is responsible for a third genetic type of OCA in humans, which we classify as {open_quotes}OCA3.{close_quotes} 69 refs., 7 figs., 3 tabs.

  8. Combinational pixel-by-pixel and object-level classifying, segmenting, and agglomerating in performing quantitative image analysis that distinguishes between healthy non-cancerous and cancerous cell nuclei and delineates nuclear, cytoplasm, and stromal material objects from stained biological tissue materials

    DOE Patents [OSTI]

    Boucheron, Laura E

    2013-07-16T23:59:59.000Z

    Quantitative object and spatial arrangement-level analysis of tissue are detailed using expert (pathologist) input to guide the classification process. A two-step method is disclosed for imaging tissue, by classifying one or more biological materials, e.g. nuclei, cytoplasm, and stroma, in the tissue into one or more identified classes on a pixel-by-pixel basis, and segmenting the identified classes to agglomerate one or more sets of identified pixels into segmented regions. Typically, the one or more biological materials comprises nuclear material, cytoplasm material, and stromal material. The method further allows a user to markup the image subsequent to the classification to re-classify said materials. The markup is performed via a graphic user interface to edit designated regions in the image.

  9. This is a pre-print. The paper will appear in the proceedings of the IARP/IEEE Interna-tional Conference on Biometrics, March 29 -April 1, 2012 New Delhi, India

    E-Print Network [OSTI]

    Oleg, Komogortsev - Department of Computer Science, Texas State University

    characteristics of the oculomotor plant (com- prising the eye globe, its muscles and the brain's control signals). The estimation of the oculomotor plant charac- teristics (OPC) is achieved by analyzing the recorded eye movement trajectories via a 2D linear homeomorphic mathematical representation of the oculomotor plant. The derived OPC

  10. Eawag, the Swiss Federal Institute of Aquatic Science and Technology, is a Swiss-based and interna-tionally networked aquatic research institute within the ETH Domain (Swiss Federal Institutes of Technol-

    E-Print Network [OSTI]

    Uppsala Universitet

    in Kastanienbaum (Lucerne) has a va- cancy for a PhD Student in Fish Migration & Evolutionary Ecology Movement to the nearby Lake Lucerne and forms the distinct lake trout phenotype. However, also distinct eco (Lucerne) and offers a beautiful workplace at the shores of Lake Lucerne, a friendly international working

  11. Page 1 of 3 Purchase Request Required Approvals

    E-Print Network [OSTI]

    to support items. Examples include but are not limited to: o Software o Service contracts for cloud offerings

  12. The Solarize Guidebook: A community guide to collective purchasing...

    Energy Savers [EERE]

    How to Avoid Common Pitfalls SunShot Home About Concentrating Solar Power Photovoltaics Systems Integration Soft Costs Technology to Market Success Stories Financial...

  13. DOE Princeton Plasma Physics Laboratory Purchase Power Agreement...

    Office of Environmental Management (EM)

    Documents & Publications ECWEBTermsandConditions.doc&0; General Services Administration Photovoltaics Project in Sacramento, California Part 1, Clauses Prescribed in FAR Part 52...

  14. Dominion Virginia Power - Solar Purchase Program | Open Energy...

    Open Energy Info (EERE)

    Residential, Nonprofit, Residential, State Government Eligible Technologies Photovoltaics Active Incentive Yes Implementing Sector Utility Energy Category Renewable Energy...

  15. City of Boston - Green Power Purchasing | Department of Energy

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

    municipal properties to be evaluated for the feasibility of installing solar, wind, bio-energy, combined heat and power (CHP), and green roofs. (The executive order updated an...

  16. The Greenhouse Gas Protocol Initiative: GHG Emissions from Purchased...

    Open Energy Info (EERE)

    within a community. Separate calculators are available for emissions from stationary combustion, transport or mobile sources, refrigeration and air conditioning equipment, and...

  17. Students' Perceptions of Food and Factors That Influence Purchasing Decisions

    E-Print Network [OSTI]

    Smith, Lindsay Marie

    2013-06-06T23:59:59.000Z

    be accessed from your bed via smart phones, tablets, or computers while watching television, people are connected to media. Before the Internet boom, current news and information was found via newspapers and on television. Now, news is accessible twenty..., & Gardner, 2009). They make decisions based on personal experiences, what they learned in college, and information presented to them by the media. Since the majority of college students become independent after graduation and inherit students loans...

  18. Are Consumers Myopic? Evidence from New and Used Car Purchases

    E-Print Network [OSTI]

    Busse, Meghan R

    We investigate whether car buyers are myopic about future fuel costs. We estimate the effect of gasoline prices on short-run equilibrium prices of cars of different fuel economies. We then compare the implied changes in ...

  19. Are Consumers Myopic? Evidence from New and Used Car Purchases

    E-Print Network [OSTI]

    Rothman, Daniel

    estimate the effect of gasoline prices on short-run equi- librium prices of cars of different fuel economists, however, contend that changing the incen- tives to use gasoline--by increasing its price--would be a preferable approach. This is because changing the price of gasoline has the potential to influence both what

  20. The Solarize Guidebook: A community guide to collective purchasing...

    Open Energy Info (EERE)

    Organization U.S. Department of Energy Partner National Renewable Energy Laboratory, City of Portland Sector Energy Focus Area Buildings, Residential, Economic Development,...

  1. Property and Facilities Division VEHICLE PURCHASING & DISPOSAL REQUISITION PF330

    E-Print Network [OSTI]

    Blows, Mark

    Driver's Airbag Dual Airbag Headlight Protectors Cargo Blind (Wagon) Leather Trim Metallic Paint Mud

  2. New York, NY Vehicle Purchase & Infrastructure Development Incentives

    Broader source: Energy.gov [DOE]

    The New York State Energy Research and Development Authority (NYSERDA) administers the New York City Private Fleet Alternative Fuel/Electric Vehicle Program (Program) in cooperation with New York...

  3. Plug and Play: Purchase, Install, and Connect Residential Solar...

    Energy Savers [EERE]

    roof mounting system, eliminating the need for racking systems. Once the lightweight solar panels are in place, the system then self-tests for proper installation and...

  4. Table 21. Domestic Crude Oil First Purchase Prices

    Gasoline and Diesel Fuel Update (EIA)

    1994 January ... 10.49 11.78 14.13 13.87 14.32 13.56 12.75 13.39 13.35 12.33 13.05 13.21 11.19 February ... 10.71 11.79 14.04 14.13 14.51 13.75 12.50 13.11 13.02...

  5. Purchasing Goods and Services General and Specific Contract

    E-Print Network [OSTI]

    Boisvert, Jeff

    such as blasting, infrastructure construction etc ­ Labour (eg employees) #12;14/04/2014 2 Canadian Contract Law are not #12;14/04/2014 5 Where it went wrong · Advertisments A UNILATERAL CONTRACT ­ famous case: Carlill v

  6. Revisiting the Income Effect: Gasoline Prices and Grocery Purchases

    E-Print Network [OSTI]

    Gicheva, Dora; Hastings, Justine; Villas-Boas, Sofia B

    2008-01-01T23:59:59.000Z

    Gasoline and Crude Oil Prices, 2000-2006 Figure I:Weekly Gasoline and Crude Oil Prices for 2001- 2006 Crudeargue that increases in oil prices may lead to recessions

  7. Farmers Electric Cooperative (Kalona)- Renewable Energy Purchase Rate

    Broader source: Energy.gov [DOE]

    Farmers Electric Cooperative offers a production incentive to members that install qualifying wind and solar electricity generating systems. Qualifying grid-tied solar and wind energy systems are...

  8. Energy Purchasing/Marketing Strategies- Energy Service Agreement

    E-Print Network [OSTI]

    Filak, J. J. Jr.

    'S commissions. But, in the final analysis, it will demonstrate an option towards improving the efficiency of electricity, create electric price stability and lesson expensive investments for new power plants or special service equipment....

  9. Milk Advertising, Vending Machine Purchases, and Their Health Implications

    E-Print Network [OSTI]

    Gvillo, Rejeana

    2014-07-24T23:59:59.000Z

    : Complete Demand System Summary Statistics ............................................. 22 Table 2: Expenditure Endogeneity Parameter Estimates (Equation 13) ...................... 27 Table 3: QUAIDS Parameter Estimates (Equation 16... ............................ 84 xii Table 26: Comparison of Actual Vending Expenditures to Predicted Expenditures Exogenous Model ......................................................................................... 85 Table 27: Tobit Estimation, Marginal...

  10. Tax Sensitivity and Home State Preferences in Internet Purchasing

    E-Print Network [OSTI]

    Ellison, Glenn

    Data on memory modules sales are used to explore aspects of e-retail demand. Aggregate sales are examined in state-level regressions. Discrete choice techniques are used to examine (incomplete) hourly sales data from a ...

  11. Microsoft Word - CX-SnohomishPUD Equipment Purchase_140521

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

    data acquisition equipment (including kilowatt hour quantity) Bay 15: three current transformers Bay 15: three voltage transformers Bay 2: SCADA 5 systems, plus Snohomish data...

  12. The Importance of Interregional Refueling Availability to the Purchase Decision

    E-Print Network [OSTI]

    Nicholas, Michael A

    2009-01-01T23:59:59.000Z

    surveys about refueling availability No experience using aof Interregional Refueling Availability to the Purchasewith refueling availability (pretest only) ? Respondents

  13. On EOQ Cost Models with Arbitrary Purchase and Transportation ...

    E-Print Network [OSTI]

    Birbil

    2014-03-02T23:59:59.000Z

    level is negative. Out of pocket holding costs represent real costs of holding inventory, such as; warehouse rental, handling, insurance and refrigeration costs.

  14. Crude Oil Prices Table 21. Domestic Crude Oil First Purchase...

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

    the acquisition date. See the Explanatory Notes section for additional detail. Sources: Energy Information Administration, Form FEA-F701-M-0, "Transfer Pricing Report," January...

  15. General Guidelines for Sustainable Purchasing 3R's -Reduce, Reuse, Recycle

    E-Print Network [OSTI]

    Jiang, Huiqiang

    ......................................................... 3R's - Reduce, Reuse, Recycle In order to conserve natural resources and to protect the environment considerations o Made of recycled materials, maximizing post-consumer content. o Remanufactured products, such as laser toner cartridges, tires, furniture, equipment and automotive parts whenever practicable and cost

  16. Low Standby Power Product Purchasing Requirements and Compliance...

    Energy Savers [EERE]

    and Compliance Resources A product consumers standby power when it is in the lowest power-consuming mode-typically when it is switched off. Federal agencies are required to...

  17. Moab Project Receives Award for Purchasing Environmentally Friendly...

    Energy Savers [EERE]

    Friendly Products February 26, 2014 - 12:00pm Addthis MOAB, Utah - EM's Moab Uranium Mill Tailings Remedial Action Project in Utah was one of three GreenBuy Award recipients for...

  18. Table 21. Domestic Crude Oil First Purchase Prices

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

    1997 January ... 21.76 22.68 23.97 23.71 23.95 22.31 23.44 23.94 23.66 23.72 23.11 23.52 22.93 February ... 19.38 19.89 22.68 20.95 21.06 19.63 20.54 21.09 20.81...

  19. Organization & Description Purchasing Agent 10000 Chancellor Wanda Chilson

    E-Print Network [OSTI]

    Xie,Jiang (Linda)

    Internal Audit Josh Van Dyck 13115 Risk Mgmt, Safety & Security Leigh Murray 13200 Human Resources AVC Pierce 14250 High Voltage Shop Doug Pierce 14300 Facilities Management Zone 6 Doug Pierce 14350 FM Energy City Campus Sharon Caruthers 15200 School of Architecture Sharon Caruthers 15210 Col of Arts

  20. U.S. Federal Government- Green Power Purchasing Goal

    Broader source: Energy.gov [DOE]

    The federal Energy Policy Act of 2005 (EPAct 2005) extended and expanded several previous goals and standards to reduce energy use in existing and new federal buildings. Section 203 of EPAct 2005...

  1. Firearm Retailers’ Willingness to Participate in an Illegal Gun Purchase

    E-Print Network [OSTI]

    Wintemute, Garen

    2010-01-01T23:59:59.000Z

    PJ, Kennedy DM, Moore MH. The illegal supply of ?rearms. In:Show Undercover: Report on Illegal Sales at Gun Shows. Newand dynamics of illegal ?rearms markets: implications for a

  2. Contract Language for Energy-Consuming Product Purchases | Department of

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T, Inc.'sEnergyTexas1.SpaceFluor FederalEnergy Contract Awarded to

  3. Energy Department Receives EPA Award for Top Green Power Purchase |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube|6721 Federal RegisterHydrogen and FuelDefense as Part of Hurricane Sandy

  4. WAPA Purchase of Energy Contractor Template | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3EDepartmentDepartment(GATE)Action

  5. Washington Lease Purchase Case Study | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group currentBradley Nickell Director ofDepartment of EnergyPotomacRemarks

  6. Energy Department Issues Tribal Renewable Energy Purchase Guidance and

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently20,000 Russian NuclearandJunetrackEllen O'KaneSystemsDepartment of Energyof

  7. Boulder Valley School District (Colorado) Power Purchase Agreement Case

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The FutureCommentsEnergyandapproximatelyBoostingand Capacity Concerns inStudy

  8. Table 21. Domestic Crude Oil First Purchase Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181 1773 January1998, 1993

  9. Table 21. Domestic Crude Oil First Purchase Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181 1773 January1998, 1993

  10. Table 21. Domestic Crude Oil First Purchase Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181 1773 January1998, 1993

  11. Table 21. Domestic Crude Oil First Purchase Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181 1773 January1998, 1993

  12. Table 21. Domestic Crude Oil First Purchase Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181 1773 January1998, 1993

  13. PSC STAFF REPORT ON THE POWER PURCHASE AGREEMENT

    E-Print Network [OSTI]

    Firestone, Jeremy

    asserted that the EURCSA's objectives could be satisfied with demand side management ("DSM") programs Public Service Commission Staff 861 Silver Lake Boulevard Cannon Building, Suite 100 Dover, Delaware of Management and Budget (collectively "the State Agencies"), to evaluate the proposals received pursuant

  14. Microsoft Word - 2010_NESC_Power_Purchase_Contract_CX.doc

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

    siting and construction or major expansion of waste storage, disposal, recovery, or treatment facilities, (iii) disturb hazardous substances, pollutants, contaminants, or...

  15. Domestic Crude Oil First Purchase Prices by API Gravity

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469Decade Year-0CubicCubic Feet)Cubic--2,8190 02009

  16. Domestic Crude Oil First Purchase Prices by Area

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469Decade Year-0CubicCubic Feet)Cubic--2,8190

  17. Domestic Crude Oil First Purchase Prices for Selected Crude Streams

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469Decade Year-0CubicCubic Feet)Cubic--2,81902009

  18. Exploring Power Purchase Agreements - The Basics Part 1 | Department of

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,OfficeEnd of Year 2010Salt |Exelon Generation Company,Wind Powerto Reduce Costs

  19. GovEnergy 2008 Session Presentation on Power Purchase Agreements |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(Fact Sheet), Geothermal TechnologiesGeothermalGo for theEnergy NowofDepartment of

  20. Energy Department Announces Funding to Develop Aggregate Purchasing Models

    Office of Environmental Management (EM)

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

  1. Purchasing Renewable Power at Federal Facilities | Department of Energy

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

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

  2. Contractor Purchasing Balanced Scorecard for 2013 | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613PortsmouthBartlesvilleAbout » Contact Us Contact UsEnergyOak7.2 (June 2013)5)

  3. Contractor Purchasing Balanced Scorecard for 2014 | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613PortsmouthBartlesvilleAbout » Contact Us Contact UsEnergyOak7.2 (June 2013)5)4

  4. Contractor Purchasing Balanced Scorecard for FY 2010 | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613PortsmouthBartlesvilleAbout » Contact Us Contact UsEnergyOak7.2 (June

  5. On-Site Renewable Power Purchase Agreements | Department of Energy

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

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

  6. On-Site Renewable Power Purchase Agreements | Department of Energy

    Office of Environmental Management (EM)

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  7. 2015 Awards For Leadership In Sustainable Purchasing Announced | Department

    Energy Savers [EERE]

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  8. Guide to Purchasing Green Power: Renewable Electricity, Renewable Energy

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

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  9. SOLAR POWER PURCHASE FOR DOE LABORATORIES | National Nuclear Security

    National Nuclear Security Administration (NNSA)

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  10. Technical, Engineering, and Programmatic Support (TEPS) Blanket Purchase

    National Nuclear Security Administration (NNSA)

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  11. Golden Reading Room: Office of Acquisition Documents, Small Purchases |

    Office of Environmental Management (EM)

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  12. Domestic Crude Oil First Purchase Prices by API Gravity

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S. DEPARTMENTshort05) Energy R*yDistributedand

  13. Domestic Crude Oil First Purchase Prices by Area

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

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  14. Domestic Crude Oil First Purchase Prices for Selected Crude Streams

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

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  15. Purchasing Energy-Efficient Windows | Department of Energy

    Office of Environmental Management (EM)

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  16. Moab Project Receives Award for Purchasing Environmentally Friendly

    Energy Savers [EERE]

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  17. DOE Indian Energy Purchase Preference Policy Guidance | Department of

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

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  18. Table 7.6 Quantity of Purchased Energy Sources, 2010;

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

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  19. Table 7.9 Expenditures for Purchased Energy Sources, 2002

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

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  20. Table 7.9 Expenditures for Purchased Energy Sources, 2010;

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

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  1. Table A39. Total Expenditures for Purchased Electricity and Steam

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

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  2. Table A44. Average Prices of Purchased Electricity and Steam

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

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  3. Idaho Public Utilities Commission Approves Neal Hot Springs Power Purchase

    Open Energy Info (EERE)

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  4. FY2015 Approved Purchase Requisition Submittal Deadlines Announced |

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

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  5. PURCHASE ORDER Mission Support Alliance, LLC ATTN: ACCOUNTS

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeedingBiomassPPPO Website Directory PPPOLarson.Cheryl A -Chapter 32

  6. DOE Princeton Plasma Physics Laboratory Purchase Power Agreement Request

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

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  7. Aggregated Purchasing and Workplace Charging Can Drive EV Market Growth |

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

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  8. Use of New Strategically Sourced Blanket Purchase Agreement. . . |

    Energy Savers [EERE]

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  9. The Solarize Guidebook: A community guide to collective purchasing of

    Office of Environmental Management (EM)

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  10. Use of New Strategically Sourced Blanket Purchase Agreement. . .

    Office of Environmental Management (EM)

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  11. Power Purchase Agreement Checklist for State and Local Governments |

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

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  12. Purchase and Installation of a Geothermal Power Plant to Generate

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

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  13. PPPL recognized for green electronics purchasing program | Princeton Plasma

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

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  14. Request for Information: Federal Government Power Purchase Agreements (PPA)

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

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  15. Response Summary: Department of Energy Power Purchase Agreement Request for

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

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  16. Sample Documents for On-Site Renewable Power Purchase Agreements |

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

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  17. Initial Application for FAC-C, Purchasing, Financial Assistance and

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

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  18. Purchase Card (P-Card) | The Ames Laboratory

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

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  19. SF 6432-PO Standard Terms and Conditions for Purchase Orders

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

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  20. Non Fossil Purchasing Agency Ltd | Open Energy Information

    Open Energy Info (EERE)

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