Sample records for hc6-2a usage indicators

  1. file://C:\Documents%20and%20Settings\VM3\My%20Documents\hc6-2a_

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million8a.Table HC6-1a. Usage2a.

  2. "Table HC10.5 Space Heating Usage Indicators by U.S. Census...

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

    5 Space Heating Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Space Heating Usage...

  3. "Table HC8.5 Space Heating Usage Indicators by Urban/Rural Location...

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

    5 Space Heating Usage Indicators by UrbanRural Location, 2005" " Million U.S. Housing Units" ,,"UrbanRural Location (as Self-Reported)" ,"Housing Units (millions)" "Space Heating...

  4. "Table HC9.5 Space Heating Usage Indicators by Climate Zone...

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

    5 Space Heating Usage Indicators by Climate Zone, 2005" " Million U.S. Housing Units" ,,"Climate Zone1" ,,"Less than 2,000 CDD and --",,,,"2,000 CDD or More and Less than 4,000...

  5. "Table HC4.5 Space Heating Usage Indicators by Renter-Occupied...

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

    5 Space Heating Usage Indicators by Renter-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Renter-Occupied Housing Units (millions)","Type of Renter-Occupied Housing...

  6. "Table HC3.5 Space Heating Usage Indicators by Owner-Occupied...

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

    5 Space Heating Usage Indicators by Owner-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing...

  7. "Table HC9.10 Home Appliances Usage Indicators by Climate Zone...

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

    0 Home Appliances Usage Indicators by Climate Zone, 2005" " Million U.S. Housing Units" ,,"Climate Zone1" ,,"Less than 2,000 CDD and --",,,,"2,000 CDD or More and Less than 4,000...

  8. "Table HC15.13 Lighting Usage Indicators by Four Most Populated...

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

    Units (millions)","Four Most Populated States" "Lighting Usage Indicators",,"New York","Florida","Texas","California" "Total U.S. Housing Units",111.1,7.1,7,8,12.1 "Indoor...

  9. A study of the validity of language usage as an indicator of ethnic identification 

    E-Print Network [OSTI]

    Patella, Victoria Morrow

    1971-01-01T23:59:59.000Z

    for Index by Sex Analysis of Variance With Respect to Index of Language Usage Mean Index by Sex, Place of Residence, and Border/Non-Border Residence Results of Anova and Mean Index of Language Usage of Mexican American Males and Females With Respect... by Sex: Total Column Indicates What Percent of all R's had Each Index, and Sex Columns Indicate for Each Index, What the Sex Ratio was 7J 1 1 li 21 L Frequency Distribution for Index by Border/ Non-Border Residence Table Page( 22 Percentage...

  10. Usage based indicators to assess the impact of scholarly works: architecture and method

    DOE Patents [OSTI]

    Bollen, Johan (Santa Fe, NM); Van De Sompel, Herbert (Santa Fe, NM)

    2012-03-13T23:59:59.000Z

    Although recording of usage data is common in scholarly information services, its exploitation for the creation of value-added services remains limited due to concerns regarding, among others, user privacy, data validity, and the lack of accepted standards for the representation, sharing and aggregation of usage data. A technical, standards-based architecture for sharing usage information is presented. In this architecture, OpenURL-compliant linking servers aggregate usage information of a specific user community as it navigates the distributed information environment that it has access to. This usage information is made OAI-PMH harvestable so that usage information exposed by many linking servers can be aggregated to facilitate the creation of value-added services with a reach beyond that of a single community or a single information service.

  11. Table HC15.7 Air-Conditioning Usage Indicators by Four Most...

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

    or More Units... 5.4 0.7 Q 0.5 Q Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  12. "Table HC3.7 Air-Conditioning Usage Indicators by Owner-Occupied Housing Unit, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home7 Air-Conditioning Usage

  13. file://C:\Documents%20and%20Settings\VM3\My%20Documents\hc6-2a_

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13)February 8,2a.2a.

  14. Usage by Job Size

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

    Usage by Job Size Table Usage by Job Size Table page loading animation Usage Query Interface System All Hopper Edison Carver Planck Matgen Franklin Hopper 1 Magellan Dirac Bassi...

  15. Federal Water Use Indices

    Broader source: Energy.gov [DOE]

    FEMP provides water use indices as a guide for Federal agencies. Note that each is a rough estimate of water usage at different types of sites. Your site may vary considerably.

  16. Usage Demographics 2010

    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 ScienceandMesa del SolStrengthening aTurbulence mayUndergraduateAbout Us Updatesproject0 NERSC Usage

  17. Usage Demographics 2011

    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 ScienceandMesa del SolStrengthening aTurbulence mayUndergraduateAbout Us Updatesproject0 NERSC Usage1

  18. Usage Demographics 2011

    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 ScienceandMesa del SolStrengthening aTurbulence mayUndergraduateAbout Us Updatesproject0 NERSC Usage12

  19. HYDROGEN USAGE AND STORAGE

    E-Print Network [OSTI]

    It is thought that it will be useful to inform society and people who are interested in hydrogen energy. The study below has been prepared due to this aim can be accepted as an article to exchange of information between people working on this subject. This study has been presented to reader to be utilized as a “technical note”. Main Energy sources coal, petroleum and natural gas are the fossil fuels we use today. They are going to be exhausted since careless usage in last decades through out the world, and human being is going to face the lack of energy sources in the near future. On the other hand as the fossil fuels pollute the environment makes the hydrogen important for an alternative energy source against to the fossil fuels. Due to the slow progress in hydrogen’s production, storage and converting into electrical energy experience, extensive usage of Hydrogen can not find chance for applications in wide technological practices. Hydrogen storage stands on an important point in the development of Hydrogen energy Technologies. Hydrogen is volumetrically low energy concentration fuel. Hydrogen energy, to meet the energy quantity necessary for the nowadays technologies and to be accepted economically and physically against fossil fuels, Hydrogen storage technologies have to be developed in this manner. Today the most common method in hydrogen storage may be accepted as the high pressurized composite tanks. Hydrogen is stored as liquid or gaseous phases. Liquid hydrogen phase can be stored by using composite tanks under very high pressure conditions. High technology composite material products which are durable to high pressures, which should not be affected by hydrogen embrittlement and chemical conditions.[1

  20. Scholarly E-Book Use across Disciplines: Content Analysis of Usage Reports and Search Terms

    E-Print Network [OSTI]

    Rosen, Jay

    community. In response to this demand, Columbia University Libraries (CUL) #12;2 | B a k k a l b a s i & G o the aggregate results indicate that e-book use continues to increase, usage rates are not uniform across the aggregate results indicate that e-book use continues to increase, usage rates are not uniform across

  1. Reducing the Energy Usage of Oce Applications

    E-Print Network [OSTI]

    Flinn, Jason

    Reducing the Energy Usage of OÆce Applications Jason Flinn 1 , Eyal de Lara 2 , M. Satyanarayanan 1 of the energy usage of Microsoft's PowerPoint application and show that adaptive policies can reduce energy research e#11;ort, no silver bullet for reducing energy usage has yet been found. Instead, a comprehensive

  2. usage_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.1 4.2 1.8Usage

  3. Section 6 -Facilities Usage and Maintenance A. Facilities Usage and Maintenance

    E-Print Network [OSTI]

    Pantaleone, Jim

    Section 6 - Facilities Usage and Maintenance A. Facilities Usage and Maintenance 1 be held financially responsible. Financial responsibility extends to abandoned belongings, excessive is not permitted under any circumstances. Storage facilities are provided in most student housing units for storing

  4. Computer Science MAPO: Mining API Usages from

    E-Print Network [OSTI]

    Xie, Tao

    Computer Science MAPO: Mining API Usages from Open Source Repositories Tao Xie Department of Computer Science North Carolina State University, USA Jian Pei Department of Computer Science Simon Fraser University, Canada ·http://ase.csc.ncsu.edu/ #12;Computer Science Learning API Usages is Challenging ·org

  5. Recent Trends in Car Usage in Advanced Economies - Slower Growth...

    Open Energy Info (EERE)

    Trends in Car Usage in Advanced Economies - Slower Growth Ahead? Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Recent Trends in Car Usage in Advanced Economies -...

  6. Style and Usage Guidelines for Written Communications

    E-Print Network [OSTI]

    Rose, Michael R.

    Style and Usage Guidelines for Written Communications Administrative and Business Services #12 Construction Commas Capitalization and the "Uniqueness Rule" Selected Style Guidelines Apostrophes Colons Fonts of Comparative Statements Indented Bullets Communicating Using Numbers ZotMail Messages #12;- 1 - Introduction

  7. Material impacts on operational energy usage

    E-Print Network [OSTI]

    Love, Andrea, S.M. Massachusetts Institute of Technology

    2011-01-01T23:59:59.000Z

    Decisions regarding materials and construction of a building are made all the time in the architectural process, but thought is not always given to how those choices may affect the buildings ultimate energy usage and the ...

  8. USAGE-BASED PRICING DIFFERENTIATION FOR

    E-Print Network [OSTI]

    Huang, Jianwei

    cost, complex pricing schemes are not "customer- friendly" and discourage customers from usingCHAPTER 1 USAGE-BASED PRICING DIFFERENTIATION FOR COMMUNICATION NETWORKS: INCOMPLETE INFORMATION AND LIMITED PRICING CHOICES Shuqin Li, Ph.D.1 and Jianwei Huang, Ph.D.2 1 Research and Innovation, Alcatel

  9. VEHICLE USAGE AGREEMENT DEPARTMENT OF BIOLOGICAL SCIENCE

    E-Print Network [OSTI]

    Ronquist, Fredrik

    VEHICLE USAGE AGREEMENT DEPARTMENT OF BIOLOGICAL SCIENCE All drivers of vehicles must certify to the following: 1. I certify that I have a valid driver's license appropriate for the vehicle type and will abide belts. 2. I have read and understand the vehicle operating policies and procedures as defined

  10. Balanced Codon Usage Optimizes Eukaryotic Translational Efficiency

    E-Print Network [OSTI]

    Zhang, Jianzhi

    Balanced Codon Usage Optimizes Eukaryotic Translational Efficiency Wenfeng Qian1 , Jian-Rong Yang1, Guangzhou, China Abstract Cellular efficiency in protein translation is an important fitness determinant and that translational efficiency is maximized by the exclusive use of rapidly translated codons. Here we estimate

  11. University Town Management Office Town Green Usage

    E-Print Network [OSTI]

    Chaudhuri, Sanjay

    University Town Management Office Town Green Usage Background The UTown Management Office (UTMO the sustainability of the Green as the Office of Estate & Development (OED) has highlighted that the landscape consultant has advised that it would require about one year period for the soil to settle to its final level

  12. Report on Activities And Usage Statistics of

    E-Print Network [OSTI]

    Patzek, Tadeusz W.

    of the Mobile Learning Portal, at mobilelearningportal.org. This Web site is a #12;Learning Technology CenterReport on Activities And Usage Statistics of Learning Technology Center Services and Facilities 2009-2010 #12;Learning Technology Center Review 2009-2010 December 2010 2 Report on Activities

  13. Monitoring the usage of a computer system

    SciTech Connect (OSTI)

    Bailey, D.J.

    1987-11-01T23:59:59.000Z

    Controlling the usage of computer systems particularly those operated for the federal government, is an important topic today. Audit requirements have grown to the point where they can be a significant burden to the proprietors of the system. The paper briefly mentions several proposals for responding to increased audit requirements and for monitoring a system to detect unauthorized activity. A technique is proposed for situations where the proscribed or the intended activity can be characterized in terms of program or system performance parameters. The design of a usage monitoring system is outlined. The design is based on enhancing the audit data provided by the monitored system, capturing the audit data in a separate system to protect it from user access, and implementing one of the audit trail analysis systems currently under development.

  14. Reducing Energy Usage in Extractive Distillation

    E-Print Network [OSTI]

    Saxena, A. C.; Bhandari, V. A.

    , .. ~ REDUCING ENERGY USAGE IN,EXTRACTIVE DISTILLATION A. C. Saxena V. A. Bhandari Polysar Limited Sarnia, Ontario, Canada Abstract Butadiene 1:3 is separated from other C. hydrocarbons by extractive distillation in a sieve plate tower.... To improve the energy efficiency, butadiene recovery and productivity of the extractive distillation process, many process changes have been made. Their rationale, the methodology used to implement the various changes, and how they affected the process...

  15. Predicting energy usage in a supermarket

    E-Print Network [OSTI]

    Schrock, Derek Wayne

    1989-01-01T23:59:59.000Z

    PREDICTING ENERGY USAGE IN A SUPERMARKET A Thesis by DEREK WAYNE SCHROCK 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 December 1989 Major...), which consuine 24. 8% of the energy used by all commercial buildings [1]. This thesis reports on work intended to identify conservation opportunities in the mercantile services category by focusing on operational and maintenance problems. A major...

  16. Cognitive Structures Underlying Gendered Language Usage in Germany: Narration and Linguistic Fieldwork

    E-Print Network [OSTI]

    Kolar, Meredith

    2011-01-01T23:59:59.000Z

    Gendered Language Usage in Germany: Narration and LinguisticGendered Language Usage in Germany: Narration and LinguisticGendered Language Usage in Germany: Narration and Linguistic

  17. Similarity measure to identify users' profiles in web usage mining

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Similarity measure to identify users' profiles in web usage mining Firas Abou Latif -- Nicolas information. It makes the website browsing process even harder. This paper addresses the web usage mining problématique ré- currente. Le Web Usage Mining, qui tente de résoudre ce problème, propose des techniques

  18. Optimization of the Energy Usage at CERN

    E-Print Network [OSTI]

    Burckhart, H J; Caspers, F; Doré, V; Gatignon, L; Martel, C; Nonis, M; Tommasini, D

    2013-01-01T23:59:59.000Z

    Some of the efforts of CERN to optimize its energy usage are presented. Work is proceeding in several areas: campus and infrastructure, accelerators and beam lines, as well as R&D for future accelerators. The existing building stock is being renovated and new buildings apply an integrated energy concept. The energy efficiency of the accelerators and beam lines can be further enhanced by powering more equipment dynamically only during the time it is really needed. For designing new accelerators novel approaches are being investigated to re-use energy which in today’s installations gets dumped thermally.

  19. An assessment of worldwide supercomputer usage

    SciTech Connect (OSTI)

    Wasserman, H.J.; Simmons, M.L.; Hayes, A.H.

    1995-01-01T23:59:59.000Z

    This report provides a comparative study of advanced supercomputing usage in Japan and the United States as of Spring 1994. It is based on the findings of a group of US scientists whose careers have centered on programming, evaluating, and designing high-performance supercomputers for over ten years. The report is a follow-on to an assessment of supercomputing technology in Europe and Japan that was published in 1993. Whereas the previous study focused on supercomputer manufacturing capabilities, the primary focus of the current work was to compare where and how supercomputers are used. Research for this report was conducted through both literature studies and field research in Japan.

  20. How Usage is Charged at NERSC

    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) EnvironmentalGyroSolé(tm) HarmonicbetandEnergy 2010 ABringof Energyusage is

  1. Gene expression level influences amino acid usage, but not codon usage, in the tsetse fly

    E-Print Network [OSTI]

    Herbeck, Joshua

    and configuration of amino acid differences between Wigglesworthia and Escherichia coli were compared to test and Evolution, Marine Biological Laboratory, 7 MBL Street, Woods Hole, MA 02543, USA 2 Department of Biological to distinct patterns of genome evolu- tion. Synonymous codon usage in the free-living bacteria Escherichia

  2. adjunctive antimetabolite usage: Topics by E-print Network

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

    Libraries (CUL). While Rosen, Jay 397 Mining Usage Data and Development Artifacts Olga Baysal, Reid Holmes, and Michael W. Godfrey Computer Technologies and Information...

  3. anthelmintic usage perspectives: Topics by E-print Network

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

    Libraries (CUL). While Rosen, Jay 380 Mining Usage Data and Development Artifacts Olga Baysal, Reid Holmes, and Michael W. Godfrey Computer Technologies and Information...

  4. Energy usage in oil and gas extraction

    SciTech Connect (OSTI)

    Honeycutt, B.D.

    1991-05-01T23:59:59.000Z

    This report was prepared in partial fulfillment of Subcontract No. C90-103207 by Baxter D. Honeycutt, P.E., Richardson Texas, for the Idaho National Engineering Laboratory (INEL) and the US DOE, INEL requirements, for the requested report were outlined by letter dated September 4, 1990, included the following: process flow diagrams and descriptive discussions of technical operations; mass and energy balances; a summary of energy-saving opportunities with the cross-cutting technologies emphasized; trends of oil and gas production versus energy expended to achieve new production; conclusions and recommendations for future research. The National Energy Account (NEA) data on energy usage in oil and gas related extraction processes are reproduced for reference. Energy cost and production are given for oil and gas well drilling, crude oil and production, national gas production, and natural gas liquid production.

  5. Table HC6.7 Air-Conditioning Usage Indicators by Number of Household...

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

    9.7 Have Equipment But Do Not Use it... 1.9 0.6 0.5 Q 0.2 0.4 Type of Air-Conditioning Equipment 1, 2 Central System......

  6. Table HC6.12 Home Electronics Usage Indicators by Number of...

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

    111.1 30.0 34.8 18.4 15.9 12.0 Personal Computers Do Not Use a Personal Computer... 35.5 16.3 9.4 4.0 2.7 3.2 Use a Personal...

  7. "Table HC15.12 Home Electronics Usage Indicators by Four Most...

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

    PC(s) " "Personal Use",39.8,2.7,2.7,3.4,4.7 "Recreation",14.4,0.6,0.6,0.8,1 "EducationSchool",10.3,0.5,0.9,0.5,1.8 "Home Business",7.6,0.3,0.6,0.5,1 "Telecommuting",3.5,"Q","Q","Q...

  8. "Table HC12.12 Home Electronics Usage Indicators by Midwest...

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

    of PC(s) " "Personal Use",39.8,9.2,6.4,2.7 "Recreation",14.4,4.1,2.8,1.3 "EducationSchool",10.3,1.9,1.4,0.5 "Home Business",7.6,1.7,1.1,0.6 "Telecommuting",3.5,0.6,0.4,"Q"...

  9. "Table HC10.12 Home Electronics Usage Indicators by U.S. Census...

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

    PC(s) " "Personal Use",39.8,7.3,9.2,14.4,9 "Recreation",14.4,3,4.1,4.8,2.5 "EducationSchool",10.3,1.7,1.9,3.8,3 "Home Business",7.6,1.1,1.7,2.7,2.2 "Telecommuting",3.5,0.7,0.6,1,...

  10. "Table HC9.12 Home Electronics Usage Indicators by Climate Zone...

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

    " "Personal Use",39.8,4,9.2,9.7,8.3,8.6 "Recreation",14.4,1.6,4,4,2.7,2.1 "EducationSchool",10.3,0.8,2.4,2,2.8,2.3 "Home Business",7.6,1,1.5,1.7,1.6,1.7 "Telecommuting",3.5,0.3,...

  11. "Table HC4.12 Home Electronics Usage Indicators by Renter-Occupied...

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

    Use",39.8,8.2,2.2,0.5,1.2,4.1,"Q" "Recreation",14.4,3.9,1.2,0.6,0.7,1.4,"Q" "EducationSchool",10.3,3.6,0.9,0.3,0.5,1.8,"Q" "Home Business",7.6,1.3,0.5,"Q","Q",0.5,"Q"...

  12. "Table HC11.12 Home Electronics Usage Indicators by Northeast...

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

    Use of PC(s) " "Personal Use",39.8,7.3,5.7,1.6 "Recreation",14.4,3,2,1 "EducationSchool",10.3,1.7,1,0.6 "Home Business",7.6,1.1,0.7,0.3 "Telecommuting",3.5,0.7,0.3,0.3...

  13. "Table HC3.12 Home Electronics Usage Indicators by Owner-Occupied...

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

    ",39.8,31.6,26.7,1.6,0.8,0.9,1.6 "Recreation",14.4,10.5,8.9,0.7,"Q",0.3,0.6 "EducationSchool",10.3,6.7,5.8,0.2,"Q","N",0.5 "Home Business",7.6,6.3,5.5,"Q","Q","Q",0.3...

  14. "Table HC14.12 Home Electronics Usage Indicators by West Census...

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

    Use of PC(s) " "Personal Use",39.8,9,2.6,6.4 "Recreation",14.4,2.5,0.8,1.7 "EducationSchool",10.3,3,0.8,2.2 "Home Business",7.6,2.2,0.7,1.4 "Telecommuting",3.5,1.2,0.3,0.9...

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

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

    " "Personal Use",39.8,16.5,5.8,10.4,7.2 "Recreation",14.4,5,3.2,3.1,3.1 "EducationSchool",10.3,4.9,1.8,1.7,1.9 "Home Business",7.6,2.5,1.2,1.9,1.9 "Telecommuting",3.5,1.4,0.4,...

  16. "Table HC7.12 Home Electronics Usage Indicators by Household...

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

    39.8,4.4,9.7,8.8,6,11,2.7,8.5 "Recreation",14.4,2.2,3.7,3.4,2.4,2.7,1.3,3.9 "EducationSchool",10.3,1.9,2.6,2.4,1.4,2,1.6,3.7 "Home Business",7.6,0.7,1.1,1.2,1.1,3.3,0.5,1.3...

  17. "Table HC12.7 Air-Conditioning Usage Indicators by Midwest Census...

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

    "Type of Air-Conditioning Equipment1, 2" "Central System",65.9,17.3,11.3,6 "Without a Heat Pump",53.5,16.2,10.6,5.6 "With a Heat Pump",12.3,1.1,0.8,0.4 "WindowWall...

  18. "Table HC11.7 Air-Conditioning Usage Indicators by Northeast...

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

    "Type of Air-Conditioning Equipment1, 2" "Central System",65.9,6,5.2,0.8 "Without a Heat Pump",53.5,5.5,4.8,0.7 "With a Heat Pump",12.3,0.5,0.4,"Q" "WindowWall...

  19. "Table HC10.7 Air-Conditioning Usage Indicators by U.S. Census...

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

    of Air-Conditioning Equipment1, 2" "Central System",65.9,6,17.3,32.1,10.5 "Without a Heat Pump",53.5,5.5,16.2,23.2,8.7 "With a Heat Pump",12.3,0.5,1.1,9,1.7 "WindowWall...

  20. "Table HC13.7 Air-Conditioning Usage Indicators by South Census...

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

    of Air-Conditioning Equipment1, 2" "Central System",65.9,32.1,17.6,5.2,9.3 "Without a Heat Pump",53.5,23.2,10.9,3.8,8.4 "With a Heat Pump",12.3,9,6.7,1.4,0.9 "WindowWall...

  1. "Table HC14.7 Air-Conditioning Usage Indicators by West Census...

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

    of Air-Conditioning Equipment1, 2" "Central System",65.9,10.5,3.9,6.5 "Without a Heat Pump",53.5,8.7,3.2,5.5 "With a Heat Pump",12.3,1.7,0.7,1 "WindowWall...

  2. "Table HC3.7 Air-Conditioning Usage Indicators by Owner-Occupied...

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

    Equipment1, 2" "Central System",65.9,51.7,43.9,2.5,0.7,1.6,3.1 "Without a Heat Pump",53.5,41.1,34.8,2.1,0.5,1.2,2.6 "With a Heat Pump",12.3,10.6,9.1,0.4,"Q",0.3,0.6...

  3. "Table HC15.7 Air-Conditioning Usage Indicators by Four Most...

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

    of Air-Conditioning Equipment1, 2" "Central System",65.9,1.1,6.4,6.4,5.4 "Without a Heat Pump",53.5,1.1,3.5,5.7,4.9 "With a Heat Pump",12.3,"Q",2.9,0.7,0.5 "WindowWall...

  4. "Table HC4.7 Air-Conditioning Usage Indicators by Renter-Occupied...

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

    Equipment1, 2" "Central System",65.9,14.1,3.6,1.5,2.1,6.4,0.6 "Without a Heat Pump",53.5,12.4,3.1,1.3,1.8,5.7,0.6 "With a Heat Pump",12.3,1.7,0.6,"Q",0.3,0.6,"Q"...

  5. A study of the validity of language usage as an indicator of ethnic identification

    E-Print Network [OSTI]

    Patella, Victoria Morrow

    1971-01-01T23:59:59.000Z

    answer to numerous local and long-distance pleas for, help w1th the computer analysis; Mr. Brad Lisenbe, Mr. Peter Liu, and Mr. Edward Lindstrom for the1 r programing. Janet Tedford, for typ1ng and help in so many ways and the other departmental... Each of the Poss ible Pairs of Responses to Items 29b, Language Used With Parents, and 29c, Language Used !lith Close Friends in Neighborhood Page[ 3BI Numbers of Respondents Giving Each of the Possible Pa1rs of Responses to Items 29b, Language...

  6. "Table HC13.10 Home Appliances Usage Indicators by South Census...

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

    Tools",56.2,20.5,10.8,3.6,6.1 "Other Appliances Used" "Auto BlockEngineBattery Heater",0.8,"N","N","N","N" "Hot Tub or Spa",6.7,2.1,1.2,0.2,0.7 "Swimming Pool with...

  7. "Table HC15.10 Home Appliances Usage Indicators by Four Most...

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

    AppliancesTools",56.2,5,3.4,4.3,6.2 "Other Appliances Used" "Auto BlockEngineBattery Heater",0.8,"Q","N","N","N" "Hot Tub or Spa",6.7,"Q",0.7,0.5,1.2 "Swimming Pool with...

  8. "Table HC4.10 Home Appliances Usage Indicators by Renter-Occupied...

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

    Tools",56.2,23.6,4.4,2.4,4.6,11.3,0.8 "Other Appliances Used" "Auto BlockEngineBattery Heater",0.8,"Q","Q","Q","Q","N","N" "Hot Tub or Spa",6.7,"Q","Q","Q","N","N","Q" "Swimming...

  9. "Table HC3.10 Home Appliances Usage Indicators by Owner-Occupied...

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

    Tools",56.2,32.6,25,2.2,1.1,1.5,2.8 "Other Appliances Used" "Auto BlockEngineBattery Heater",0.8,0.7,0.7,"N","Q","N","Q" "Hot Tub or Spa",6.7,6.5,6.2,"Q","N","N","Q" "Swimming...

  10. Table HC15.10 Home Appliances Usage Indicators by Four Most...

    Gasoline and Diesel Fuel Update (EIA)

    Tools... 56.2 5.0 3.4 4.3 6.2 Other Appliances Used Auto BlockEngineBattery Heater... 0.8 Q N N N Hot Tub or Spa......

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

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

    Tools",56.2,27.2,10.6,9.3,9.2 "Other Appliances Used" "Auto BlockEngineBattery Heater",0.8,"Q","Q","Q",0.4 "Hot Tub or Spa",6.7,1.7,1.2,2.2,1.6 "Swimming Pool with...

  12. "Table HC11.10 Home Appliances Usage Indicators by Northeast...

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

    AppliancesTools",56.2,12.2,9.4,2.8 "Other Appliances Used" "Auto BlockEngineBattery Heater",0.8,"Q","Q","Q" "Hot Tub or Spa",6.7,1,0.8,0.2 "Swimming Pool with...

  13. Table HC6.10 Home Appliances Usage Indicators by Number of Household...

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

    Tools..... 56.2 20.1 14.4 8.6 6.9 6.2 Other Appliances Used Auto BlockEngineBattery Heater... 0.8 Q 0.4 Q Q Q Hot Tub or Spa......

  14. "Table HC12.10 Home Appliances Usage Indicators by Midwest Census...

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

    AppliancesTools",56.2,12,9,3.1 "Other Appliances Used" "Auto BlockEngineBattery Heater",0.8,0.4,"Q","Q" "Hot Tub or Spa",6.7,1.3,0.9,0.4 "Swimming Pool with...

  15. "Table HC10.10 Home Appliances Usage Indicators by U.S. Census...

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

    Tools",56.2,12.2,12,20.5,11.6 "Other Appliances Used" "Auto BlockEngineBattery Heater",0.8,"Q",0.4,"N",0.2 "Hot Tub or Spa",6.7,1,1.3,2.1,2.2 "Swimming Pool with...

  16. "Table HC14.10 Home Appliances Usage Indicators by West Census...

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

    AppliancesTools",56.2,11.6,3.3,8.2 "Other Appliances Used" "Auto BlockEngineBattery Heater",0.8,0.2,"Q",0.1 "Hot Tub or Spa",6.7,2.2,0.6,1.7 "Swimming Pool with...

  17. "Table HC12.13 Lighting Usage Indicators by Midwest Census Region...

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

    Central","West North Central" "Total U.S. Housing Units",111.1,25.6,17.7,7.9 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per...

  18. "Table HC11.13 Lighting Usage Indicators by Northeast Census...

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

    Atlantic","New England" "Total U.S. Housing Units",111.1,20.6,15.1,5.5 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per...

  19. "Table HC14.13 Lighting Usage Indicators by West Census Region...

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

    icators",,,"Mountain","Pacific" "Total U.S. Housing Units",111.1,24.2,7.6,16.6 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per...

  20. "Table HC13.13 Lighting Usage Indicators by South Census Region...

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

    South Central" "Total U.S. Housing Units",111.1,40.7,21.7,6.9,12.1 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per...

  1. "Table HC10.13 Lighting Usage Indicators by U.S. Census Region...

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

    ,"Midwest","South","West" "Total U.S. Housing Units",111.1,20.6,25.6,40.7,24.2 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per...

  2. "Table HC7.10 Home Appliances Usage Indicators by Household...

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

    Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than...

  3. "Table HC7.5 Space Heating Usage Indicators by Household Income...

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

    Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than...

  4. "Table HC14.5 Space Heating Usage Indicators by West Census...

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

    Used" "Heat Pump",0.6,"Q","N","Q" "Central Warm-Air Furnace",2.3,0.6,"Q",0.5 "SteamHot Water System","Q","Q","N","Q" "Built-in Electric Units",2.2,0.7,"Q",0.5 "Built-in Pipeless...

  5. "Table HC12.5 Space Heating Usage Indicators by Midwest Census...

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

    Used" "Heat Pump",0.6,"Q","Q","Q" "Central Warm-Air Furnace",2.3,0.9,0.5,0.3 "SteamHot Water System","Q","Q","Q","N" "Built-in Electric Units",2.2,0.6,0.4,0.3 "Built-in Pipeless...

  6. "Table HC13.5 Space Heating Usage Indicators by South Census...

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

    "Heat Pump",0.6,0.4,0.3,"Q","N" "Central Warm-Air Furnace",2.3,0.7,0.3,0.2,"Q" "SteamHot Water System","Q","N","N","N","N" "Built-in Electric Units",2.2,0.4,0.3,"Q","N" "Built-in...

  7. "Table HC15.5 Space Heating Usage Indicators by Four Most Populated...

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

    "Heat Pump",0.6,"N","N","N","Q" "Central Warm-Air Furnace",2.3,"Q","Q","Q",0.3 "SteamHot Water System","Q","N","N","N","N" "Built-in Electric Units",2.2,"Q","Q","N",0.3 "Built-in...

  8. "Table HC11.5 Space Heating Usage Indicators by Northeast Census...

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

    Used" "Heat Pump",0.6,"N","N","N" "Central Warm-Air Furnace",2.3,"Q","Q","Q" "SteamHot Water System","Q","Q","Q","Q" "Built-in Electric Units",2.2,0.4,"Q",0.2 "Built-in Pipeless...

  9. Table HC15.10 Home Appliances Usage Indicators by Four Most Populated States, 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:14:9a.0 Home

  10. Table HC15.7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:14:9a.0 Home7

  11. Table HC6.10 Home Appliances Usage Indicators by Number of Household Members, 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:14:9a.0 Home7.4

  12. Table HC6.12 Home Electronics Usage Indicators by Number of Household Members, 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:14:9a.0 Home7.41

  13. Table HC6.5 Space Heating Usage Indicators by Number of Household Members, 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:14:9a.0 Home7.41245

  14. Table HC6.7 Air-Conditioning Usage Indicators by Number of Household Members, 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:14:9a.0 Home7.412457

  15. Table HC15.10 Home Appliances Usage Indicators by Four Most Populated States, 2005

    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 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a.

  16. Table HC15.7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005

    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 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a.7

  17. Table HC6.10 Home Appliances Usage Indicators by Number of Household Members, 2005

    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 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a.7 Million0 Home

  18. Table HC6.12 Home Electronics Usage Indicators by Number of Household Members, 2005

    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 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a.7 Million0 Home12

  19. Table HC6.5 Space Heating Usage Indicators by Number of Household Members, 2005

    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 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a.7 Million04

  20. Table HC6.7 Air-Conditioning Usage Indicators by Number of Household Members, 2005

    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 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a.7 Million047

  1. "Table HC11.13 Lighting Usage Indicators by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362 Home3

  2. "Table HC12.13 Lighting Usage Indicators by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43627803

  3. "Table HC13.13 Lighting Usage Indicators by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances Housing13

  4. "Table HC14.13 Lighting Usage Indicators by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances783 Lighting

  5. "Table HC7.10 Home Appliances Usage Indicators by Household Income, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home8 Water0 Home

  6. "Table HC7.12 Home Electronics Usage Indicators by Household Income, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home8 Water0 Home2

  7. "Table HC7.5 Space Heating Usage Indicators by Household Income, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home8 Water0 Home25

  8. "Table HC9.10 Home Appliances Usage Indicators by Climate Zone, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home8 Water00 Home

  9. "Table HC9.12 Home Electronics Usage Indicators by Climate Zone, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home8 Water00 Home2

  10. "Table HC9.5 Space Heating Usage Indicators by Climate Zone, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home8 Water00 Home25

  11. KOINOTITES: A Web Usage Mining Tool for Personalization

    E-Print Network [OSTI]

    Paliouras, George

    KOINOTITES: A Web Usage Mining Tool for Personalization Dimitrios Pierrakos Inst. of Informatics@iit.demokritos.gr SUMMARY This paper presents the Web Usage Mining system KOINOTITES, which uses data mining techniques for the construction of user communities on the Web. User communities model groups of visitors in a Web site, who have

  12. A MOOS MODULE FOR MONITORING ENERGY USAGE OF AUTONOMOUS VEHICLES

    E-Print Network [OSTI]

    Idaho, University of

    A MOOS MODULE FOR MONITORING ENERGY USAGE OF AUTONOMOUS VEHICLES Anthony Kanago, Kevin Roos, James--Tracking the energy usage of an autonomous underwater vehicle (AUV) and making accurate data available provides is particularly relevant in the context of long, open-sea missions: energy consumption. A vehicle operating

  13. Research article Statistics usage by French academic libraries a

    E-Print Network [OSTI]

    Boyer, Edmond

    1/15 Research article Statistics usage by French academic libraries ­ a survey Chérifa BOUKACEM of digital resources in academic libraries, the small number of articles dedicated to the processing of usage-ZEGHMOURI Université Lyon 1 Joachim SCH�PFEL Université Charles-de-Gaulle Lille 3 Abstract The article presents

  14. The Impact of Residential Density on Vehicle Usage and Energy Consumption

    E-Print Network [OSTI]

    Golob, Thomas F; Brownstone, David

    2005-01-01T23:59:59.000Z

    on Vehicle Usage and Energy Consumption References Bento,Vehicle Usage and Energy Consumption UCI-ITS-WP-05-1 Thomason Vehicle Usage and Energy Consumption Thomas F. Golob

  15. Mining data on usage of electronic nicotine delivery systems (ENDS) from YouTube videos

    E-Print Network [OSTI]

    Talbot, Prue

    2013-01-01T23:59:59.000Z

    by group.bmj.com Research paper Mining data on usage of2013 - Published by group.bmj.com Mining data on usage of

  16. The impact of residential density on vehicle usage and fuel consumption

    E-Print Network [OSTI]

    Kim, Jinwon; Brownstone, David

    2010-01-01T23:59:59.000Z

    characteristics on household residential choice and auto2009. The impact of residential density on vehicle usage and2010-05) The impact of residential density on vehicle usage

  17. The Impact of Residential Density on Vehicle Usage and Energy Consumption

    E-Print Network [OSTI]

    Golob, Thomas F.; Brownstone, David

    2005-01-01T23:59:59.000Z

    Vehicle Usage and Energy Consumption Table 2 Housing Unitsresidential vehicular energy consumption is graphed as aon Vehicle Usage and Energy Consumption with vehicles, but

  18. VEHICLE USAGE LOG Department ________________________________________ Vehicle Homebase ____________________________ Week Ended (Sunday) _________________

    E-Print Network [OSTI]

    Yang, Zong-Liang

    VEHICLE USAGE LOG Department ________________________________________ Vehicle Homebase ____________________________ Week Ended (Sunday) _________________ Door #____________ License Plate ____________________ Vehicle/Supplies (Enter Description such as grade sheets, artifacts, money, etc.) 6. Taking vehicle to Automotive Shop

  19. Mthodes et outils pour l'observation et l'analyse des usages tudier les usages pdagogiques

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    l'éducation, Min. de l'éducation : yves.laborey@education.gouv.fr, Sommaire PNER #12;2 Table des...................................................................................... 5 1. Les enjeux des études d'usages des TICs en éducation et en formation

  20. Usage Mining for the World Wide Web WenChen Hu, wenchen@cs.und.edu

    E-Print Network [OSTI]

    Hu, Wen-Chen

    Usage Mining for the World Wide Web Wen­Chen Hu, wenchen@cs.und.edu Department of Computer Science@mail.tku.edu.tw Department of Information Engineering, Tamkang University, Tamsui, Taiwan ABSTRACT Web usage mining is used an overview and analysis of current Web usage mining technologies and systems. A Web usage mining system

  1. A Framework for Personal Web Usage Mining Yongjian Fu Ming-Yi Shih

    E-Print Network [OSTI]

    Fu, Yongjian

    A Framework for Personal Web Usage Mining Yongjian Fu Ming-Yi Shih Department of Computer Science-0350 Rolla, MO 65409-0350 yongjian@umr.edu mingyi@umr.edu Abstract In this paper, we propose to mine Web usage data on client side, or personal Web usage mining, as a complement to the server side Web usage

  2. A Framework for Personal Web Usage Mining Yongjian Fu MingYi Shih

    E-Print Network [OSTI]

    Fu, Yongjian

    A Framework for Personal Web Usage Mining Yongjian Fu Ming­Yi Shih Department of Computer Science­0350 Rolla, MO 65409­0350 yongjian@umr.edu mingyi@umr.edu Abstract In this paper, we propose to mine Web usage data on client side, or personal Web usage mining, as a complement to the server side Web usage

  3. 2011 Radioactive Materials Usage Survey for Unmonitored Point Sources

    SciTech Connect (OSTI)

    Sturgeon, Richard W. [Los Alamos National Laboratory

    2012-06-27T23:59:59.000Z

    This report provides the results of the 2011 Radioactive Materials Usage Survey for Unmonitored Point Sources (RMUS), which was updated by the Environmental Protection (ENV) Division's Environmental Stewardship (ES) at Los Alamos National Laboratory (LANL). ES classifies LANL emission sources into one of four Tiers, based on the potential effective dose equivalent (PEDE) calculated for each point source. Detailed descriptions of these tiers are provided in Section 3. The usage survey is conducted annually; in odd-numbered years the survey addresses all monitored and unmonitored point sources and in even-numbered years it addresses all Tier III and various selected other sources. This graded approach was designed to ensure that the appropriate emphasis is placed on point sources that have higher potential emissions to the environment. For calendar year (CY) 2011, ES has divided the usage survey into two distinct reports, one covering the monitored point sources (to be completed later this year) and this report covering all unmonitored point sources. This usage survey includes the following release points: (1) all unmonitored sources identified in the 2010 usage survey, (2) any new release points identified through the new project review (NPR) process, and (3) other release points as designated by the Rad-NESHAP Team Leader. Data for all unmonitored point sources at LANL is stored in the survey files at ES. LANL uses this survey data to help demonstrate compliance with Clean Air Act radioactive air emissions regulations (40 CFR 61, Subpart H). The remainder of this introduction provides a brief description of the information contained in each section. Section 2 of this report describes the methods that were employed for gathering usage survey data and for calculating usage, emissions, and dose for these point sources. It also references the appropriate ES procedures for further information. Section 3 describes the RMUS and explains how the survey results are organized. The RMUS Interview Form with the attached RMUS Process Form(s) provides the radioactive materials survey data by technical area (TA) and building number. The survey data for each release point includes information such as: exhaust stack identification number, room number, radioactive material source type (i.e., potential source or future potential source of air emissions), radionuclide, usage (in curies) and usage basis, physical state (gas, liquid, particulate, solid, or custom), release fraction (from Appendix D to 40 CFR 61, Subpart H), and process descriptions. In addition, the interview form also calculates emissions (in curies), lists mrem/Ci factors, calculates PEDEs, and states the location of the critical receptor for that release point. [The critical receptor is the maximum exposed off-site member of the public, specific to each individual facility.] Each of these data fields is described in this section. The Tier classification of release points, which was first introduced with the 1999 usage survey, is also described in detail in this section. Section 4 includes a brief discussion of the dose estimate methodology, and includes a discussion of several release points of particular interest in the CY 2011 usage survey report. It also includes a table of the calculated PEDEs for each release point at its critical receptor. Section 5 describes ES's approach to Quality Assurance (QA) for the usage survey. Satisfactory completion of the survey requires that team members responsible for Rad-NESHAP (National Emissions Standard for Hazardous Air Pollutants) compliance accurately collect and process several types of information, including radioactive materials usage data, process information, and supporting information. They must also perform and document the QA reviews outlined in Section 5.2.6 (Process Verification and Peer Review) of ES-RN, 'Quality Assurance Project Plan for the Rad-NESHAP Compliance Project' to verify that all information is complete and correct.

  4. Commercial Building Tenant Energy Usage Aggregation and Privacy

    SciTech Connect (OSTI)

    Livingston, Olga V.; Pulsipher, Trenton C.; Anderson, David M.; Wang, Na

    2014-10-31T23:59:59.000Z

    A growing number of building owners are benchmarking their building energy use. This requires the building owner to acquire monthly whole-building energy usage information, which can be challenging for buildings in which individual tenants have their own utility meters and accounts with the utility. Some utilities and utility regulators have turned to aggregation of customer energy use data (CEUD) as a way to give building owners whole-building energy usage data while protecting customer privacy. Meter profile aggregation adds a layer of protection that decreases the risk of revealing CEUD as the number of meters aggregated increases. The report statistically characterizes the similarity between individual energy usage patterns and whole-building totals at various levels of meter aggregation.

  5. Mining Software Usage with the Automatic Library Tracking Database (ALTD)

    SciTech Connect (OSTI)

    Hadri, Bilel [ORNL; Fahey, Mark R [ORNL

    2013-01-01T23:59:59.000Z

    Tracking software usage is important for HPC centers, computer vendors, code developers and funding agencies to provide more efficient and targeted software support, and to forecast needs and guide HPC software effort towards the Exascale era. However, accurately tracking software usage on HPC systems has been a challenging task. In this paper, we present a tool called Automatic Library Tracking Database (ALTD) that has been developed and put in production on several Cray systems. The ALTD infrastructure prototype automatically and transparently stores information about libraries linked into an application at compilation time and also the executables launched in a batch job. We will illustrate the usage of libraries, compilers and third party software applications on a system managed by the National Institute for Computational Sciences.

  6. Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns

    E-Print Network [OSTI]

    Cook, Diane J.

    Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns Edwin O in an environment can be mined to discover significant patterns, which an intelligent agent could use to automate of two prediction algorithms, thus demonstrating multiple uses for a home automation system. Finally, we

  7. Personality and Patterns of Facebook Usage Yoram Bachrach

    E-Print Network [OSTI]

    Rajamani, Sriram K.

    Personality and Patterns of Facebook Usage Yoram Bachrach Microsoft Research yobach.ac.uk ABSTRACT We show how users' activity on Facebook relates to their per- sonality, as measured by the standard Five Factor Model. Our dataset consists of the personality profiles and Facebook pro- file data

  8. Statler College Research Data Center Access and Usage Policy

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    Statler College Research Data Center Access and Usage Policy Objective Access to the Statler under WVU and federal guidelines. Scope This policy applies to all Statler staff, faculty, administrators, officers, contractors and students. Policy Access to the RDC shall be limited to those authorized

  9. Towards activity-relevant attribution of IT energy usage

    E-Print Network [OSTI]

    Chaudhuri, Surajit

    Towards activity-relevant attribution of IT energy usage From a previous study we were able to disaggregate per socket energy consumption from whole domicile energy consumption. We discovered that Home preparation/storage, it is the largest contributor to personal energy consumption. Understanding how and when

  10. Who Is Buying PEVS in California? Exploring Household and Usage

    E-Print Network [OSTI]

    California at Davis, University of

    Additional vehicle "Vehicle Change" Replaced Will Replace Additional vehicle #12;8/3/2012 8 Hybrid Ownership (Hybrid) General pop have Hybrid Vehicle Usage and Charging #12;8/3/2012 9 Driver Characteristics ·Average 4 5 6 7 8 9 10 11 12 Sample M h #12;8/3/2012 2 Respondents Locations 3 Nissan LEAFs Vehicle

  11. A Web Usage Mining Framework for Web Directories Personalization

    E-Print Network [OSTI]

    Kouroupetroglou, Georgios

    A Web Usage Mining Framework for Web Directories Personalization Dimitrios Pierrakos Department framework that combines Web personalization and Web directories, which results in the concept of Community Web Directories. Community Web directories is a novel form of personalization performed on Web

  12. Personalizing Web Directories with the Aid of Web Usage Data

    E-Print Network [OSTI]

    Paliouras, George

    Personalizing Web Directories with the Aid of Web Usage Data Dimitrios Pierrakos, Member, IEEE of Community Web Directories, a concept that we introduced in our recent work, applying personalization to Web directories. In this context, the Web directory is viewed as a thematic hierarchy and personalization

  13. Energy Usage Attitudes of Urban India IBM Research India

    E-Print Network [OSTI]

    Toronto, University of

    Energy Usage Attitudes of Urban India Mohit Jain IBM Research India mohitjain@in.ibm.com Deepika@cs.cmu.edu Amarjeet Singh IIIT Delhi, India amarjeet@iiitd.ac.in Abstract-- Though rapid increase in energy factors affecting energy consumption in urban India. However, the small numbers of participants in those

  14. Fuel bundle design for enhanced usage of plutonium fuel

    DOE Patents [OSTI]

    Reese, Anthony P. (San Jose, CA); Stachowski, Russell E. (Fremont, CA)

    1995-01-01T23:59:59.000Z

    A nuclear fuel bundle includes a square array of fuel rods each having a concentration of enriched uranium and plutonium. Each rod of an interior array of the rods also has a concentration of gadolinium. The interior array of rods is surrounded by an exterior array of rods void of gadolinium. By this design, usage of plutonium in the nuclear reactor is enhanced.

  15. Dynamic Memory Usage Optimization using ILP and J. Ramanujam2

    E-Print Network [OSTI]

    Ramanujam, J. "Ram"

    computing field such as electronic structure calculations, and in several other contexts. We are considering sizes M like those arising in scientific computing such as electronic structure calculations [1, 2, 3Dynamic Memory Usage Optimization using ILP A. Allam1 and J. Ramanujam2 1 Electrical Engineering

  16. Transportation & Work: Exploring Car Usage and Employment Outcomes

    E-Print Network [OSTI]

    Bertini, Robert L.

    Transportation & Work: Exploring Car Usage and Employment Outcomes in the LSAL Data Field Area of 1996, or "welfare reform," attention turned to the role of transportation in job search and employment information on car ownership as well as employment history, literacy proficiency, and measures of social

  17. Exploiting Memory Usage Patterns to Improve Garbage Collections in Java

    E-Print Network [OSTI]

    Lau, Francis C.M.

    Exploiting Memory Usage Patterns to Improve Garbage Collections in Java Liangliang Tong Department Science The University of Hong Kong fcmlau@cs.hku.hk Abstract Copying-based garbage collectors It is a common belief, however, that ob- jects' survival rates are generally too low to make full use

  18. Accountable Anonymous Service Usage in Mobile Communication Systems \\Lambda

    E-Print Network [OSTI]

    Bencsáth, Boldizsár

    to one particular physical location. From a technology perspective, mobile communication systems haveAccountable Anonymous Service Usage in Mobile Communication Systems \\Lambda Levente Butty of Technology CH­1015 Lausanne, Switzerland fLevente.Buttyan, Jean­Pierre.Hubauxg@epfl.ch 23rd June 1999

  19. An Analysis of Anonymity Technology Usage Bingdong Li1

    E-Print Network [OSTI]

    Gunes, Mehmet Hadi

    criminals to hide themselves. In this paper, we provide usage and geo-location analysis of major- linkability, i.e., observers can not link an agent to a specific message or action. Equally contributing a dichotomous issue in both social life and cy- ber space. Anonymity technologies have been used for criminal

  20. FILE USAGE RECOMMENDATIONS OCTOBER 31, 2013 | PAGE: 1 AVAILABLE LOGOS

    E-Print Network [OSTI]

    Aronov, Boris

    FILE USAGE RECOMMENDATIONS OCTOBER 31, 2013 | PAGE: 1 AVAILABLE LOGOS EPS JPG PNG LONG LOGO_long_white.png STACKED LOGO engineering_stacked_color.eps engineering_stacked_color.jpg engineering O R - Recommended File Type O - Optional File Type Which file to use Logo formats are available

  1. Personalized Power Saving Profiles Generation Analyzing Smart Device Usage Patterns

    E-Print Network [OSTI]

    Gesbert, David

    Personalized Power Saving Profiles Generation Analyzing Smart Device Usage Patterns Soumya Kanti interactions of smart devices. This paper describes a client-server architecture that proposes personalized and they are sent back to the smart devices. These profiles are highly personalized since they are developed

  2. Thermal indicator for wells

    DOE Patents [OSTI]

    Gaven, Jr., Joseph V. (Oakton, VA); Bak, Chan S. (Newbury Park, CA)

    1983-01-01T23:59:59.000Z

    Minute durable plate-like thermal indicators are employed for precision measuring static and dynamic temperatures of well drilling fluids. The indicators are small enough and sufficiently durable to be circulated in the well with drilling fluids during the drilling operation. The indicators include a heat resistant indicating layer, a coacting meltable solid component and a retainer body which serves to unitize each indicator and which may carry permanent indicator identifying indicia. The indicators are recovered from the drilling fluid at ground level by known techniques.

  3. Jefferson Lab's Education web site hits new high-usage record...

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

    web site hits new high-usage record during 2003 SOL season April 2, 2003 Jefferson Lab's Science Education web site is hitting new highs in usage - on a daily basis. Just yesterday...

  4. Jefferson Lab's Education Web Site Hits New High-Usage Record...

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

    Web Site Hits New High-Usage Record April 22, 2002 Jefferson Lab's Science Education web site hit a new high in usage yesterday. In a 24-hour-period nearly 125,000 pages were...

  5. Towards sustainable material usage : time-dependent evaluation of upgrading technologies for recycling

    E-Print Network [OSTI]

    Gaustad, Gabrielle G

    2009-01-01T23:59:59.000Z

    As consumption in the US grows, so does concern about sustainable materials usage. Increasing recycling is a key component within a broad arsenal of strategies for moving towards sustainable materials usage. There are many ...

  6. Energy Department Announces $4.5 Million to Expand Usage of Alternativ...

    Energy Savers [EERE]

    4.5 Million to Expand Usage of Alternative Fuels Energy Department Announces 4.5 Million to Expand Usage of Alternative Fuels July 16, 2014 - 11:00am Addthis In support of...

  7. Residential insecticide usage in northern California homes with young XIANGMEI (MAY) WUa

    E-Print Network [OSTI]

    Leistikow, Bruce N.

    Residential insecticide usage in northern California homes with young children XIANGMEI (MAY) WUa of Health and Environment, Seoul National University, Seoul, South Korea Residential insecticide usage and August 2008. Structured telephone interviews were conducted collecting information on residential use

  8. The relationship between children's computer game usage and creativity in Korea 

    E-Print Network [OSTI]

    Lee, Kyung-Sook

    2009-05-15T23:59:59.000Z

    Economic Status) affected children?s creativity scores and computer game usage. Children using computer games heavily showed significantly higher scores on the scale of Figural Originality than those with moderate usage. Highly structured activity students...

  9. Creation of Chimera Through the Usage of an Inspirational System

    E-Print Network [OSTI]

    Parish, Brandi Nicole

    2013-04-23T23:59:59.000Z

    CREATION OF CHIMERA THROUGH THE USAGE OF AN INSPIRATIONAL SYSTEM A Thesis by BRANDI NICOLE PARISH 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 Approved by: Chair of Committee, Carol LaFayette Committee Members, Frederic Parke Kevin Glowacki Head of Department, Tim McLaughlin May 2013 Major Subject: Visualization Copyright 2013 Brandi Nicole Parish ii...

  10. Fuel bundle design for enhanced usage of plutonium fuel

    DOE Patents [OSTI]

    Reese, A.P.; Stachowski, R.E.

    1995-08-08T23:59:59.000Z

    A nuclear fuel bundle includes a square array of fuel rods each having a concentration of enriched uranium and plutonium. Each rod of an interior array of the rods also has a concentration of gadolinium. The interior array of rods is surrounded by an exterior array of rods void of gadolinium. By this design, usage of plutonium in the nuclear reactor is enhanced. 10 figs.

  11. Residential Lighting Usage Estimate Tool, v1.0

    Broader source: Energy.gov [DOE]

    By improving our understanding of residential lighting-energy usage and quantifying it across many different parameters, the new study will be of use to anyone doing energy estimates – such as utilities, market and investment analysts, and government agencies. It will also help manufacturers design products that not only better serve consumers' needs, but that maximize the energy savings that technologies like SSL make possible.

  12. SUPPORT VECTOR CLUSTERING FOR WEB USAGE MINING WEI SHUNG CHUNG

    E-Print Network [OSTI]

    Gruenwald, Le

    is to present a comparison study of SVC and K- means for Web usage data mining using real-life Web logs. (http://www.hippocrates.ouhsc.edu) We chose K-means for comparison because it is a widely used algorithm for clustering. (Shahabi et al. Section 2 describes SVC and K-means. Section 3 and 4 present the comparison studies and experimental

  13. Central Puget Sound freeway network usage and performance. Research report

    SciTech Connect (OSTI)

    Ishimaru, J.M.; Hallenbeck, M.E.

    1999-03-01T23:59:59.000Z

    The summary report presents an overview of the level of traveler usage (e.g., how many vehicles use the freeways) and travel performance (e.g., how fast they are traveling, where and how often congestion occurs) on the principal urban freeways in the central Puget Sound area for 1997. Data presented in this report were collected by the Washington State Department of Transportation`s (WDSOT`s) freeway surveillance system.

  14. Proper Usage of Drugs and Chemicals in Food Animals

    E-Print Network [OSTI]

    Faries Jr., Floron C.

    2002-02-15T23:59:59.000Z

    Federal regulations exist to ensure the proper distribution and usage of veterinary drugs and to prevent adulteration of the food supply with illegal drug residues through drug misuse in food produc- ing animals. The Food and Drug Administration... of omission or commission, violative residues in livestock and poultry (by irresponsible and illegal distribution and use of drugs) violates state and federal laws. When FSIS inspectors detect violative drug residues in food products derived from ani- mals...

  15. HPC Usage Behavior Analysis and Performance Estimation with Machine Learning Techniques

    SciTech Connect (OSTI)

    Zhang, Hao [ORNL; You, Haihang [ORNL; Hadri, Bilel [ORNL; Fahey, Mark R [ORNL

    2012-01-01T23:59:59.000Z

    Most researchers with little high performance computing (HPC) experience have difficulties productively using the supercomputing resources. To address this issue, we investigated usage behaviors of the world s fastest academic Kraken supercomputer, and built a knowledge-based recommendation system to improve user productivity. Six clustering techniques, along with three cluster validation measures, were implemented to investigate the underlying patterns of usage behaviors. Besides manually defining a category for very large job submissions, six behavior categories were identified, which cleanly separated the data intensive jobs and computational intensive jobs. Then, job statistics of each behavior category were used to develop a knowledge-based recommendation system that can provide users with instructions about choosing appropriate software packages, setting job parameter values, and estimating job queuing time and runtime. Experiments were conducted to evaluate the performance of the proposed recommendation system, which included 127 job submissions by users from different research fields. Great feedback indicated the usefulness of the provided information. The average runtime estimation accuracy of 64.2%, with 28.9% job termination rate, was achieved in the experiments, which almost doubled the average accuracy in the Kraken dataset.

  16. Adopted Version 1 Georgia Tech's "BuzzPort" Portal Usage Policy

    E-Print Network [OSTI]

    Li, Mo

    Adopted Version 1 Georgia Tech's "BuzzPort" Portal Usage Policy v. 7.1 1.0 PURPOSE This Policy are highly valued and sensitive Institute resources. This Policy establishes an acceptable usage framework.0 SCOPE This Policy applies to all authorized BuzzPort usage from any location at all times

  17. Session Lengths and IP Address Usage of Smartphones in a University Campus WiFi

    E-Print Network [OSTI]

    Wang, Bing

    to laptops and desktop PCs, network usage characteristics of smartphones may differ significantly becauseSession Lengths and IP Address Usage of Smartphones in a University Campus WiFi Network be used more opportunistically. In this paper, we study two important network usage characteristics

  18. Results of Comparing Bandwidth Usage and Latency: Service Location Protocol and Jini

    E-Print Network [OSTI]

    Barbeau, Michel

    Results of Comparing Bandwidth Usage and Latency: Service Location Protocol and Jini Javier Govea. This paper focuses on analyzing and evaluating two of these limitations, bandwidth usage and latency, of two present the results of our bandwidth usage analysis and the results a comparison of latency of SLP

  19. Red Storm usage model :Version 1.12.

    SciTech Connect (OSTI)

    Jefferson, Karen L.; Sturtevant, Judith E.

    2005-12-01T23:59:59.000Z

    Red Storm is an Advanced Simulation and Computing (ASC) funded massively parallel supercomputer located at Sandia National Laboratories (SNL). The Red Storm Usage Model (RSUM) documents the capabilities and the environment provided for the FY05 Tri-Lab Level II Limited Availability Red Storm User Environment Milestone and the FY05 SNL Level II Limited Availability Red Storm Platform Milestone. This document describes specific capabilities, tools, and procedures to support both local and remote users. The model is focused on the needs of the ASC user working in the secure computing environments at Los Alamos National Laboratory (LANL), Lawrence Livermore National Laboratory (LLNL), and SNL. Additionally, the Red Storm Usage Model maps the provided capabilities to the Tri-Lab ASC Computing Environment (ACE) requirements. The ACE requirements reflect the high performance computing requirements for the ASC community and have been updated in FY05 to reflect the community's needs. For each section of the RSUM, Appendix I maps the ACE requirements to the Limited Availability User Environment capabilities and includes a description of ACE requirements met and those requirements that are not met in that particular section. The Red Storm Usage Model, along with the ACE mappings, has been issued and vetted throughout the Tri-Lab community.

  20. A PRACTICAL ONTOLOGY FOR THE LARGE-SCALE MODELING OF SCHOLARLY ARTIFACTS AND THEIR USAGE

    SciTech Connect (OSTI)

    RODRIGUEZ, MARKO A. [Los Alamos National Laboratory; BOLLEN, JOHAN [Los Alamos National Laboratory; VAN DE SOMPEL, HERBERT [Los Alamos National Laboratory

    2007-01-30T23:59:59.000Z

    The large-scale analysis of scholarly artifact usage is constrained primarily by current practices in usage data archiving, privacy issues concerned with the dissemination of usage data, and the lack of a practical ontology for modeling the usage domain. As a remedy to the third constraint, this article presents a scholarly ontology that was engineered to represent those classes for which large-scale bibliographic and usage data exists, supports usage research, and whose instantiation is scalable to the order of 50 million articles along with their associated artifacts (e.g. authors and journals) and an accompanying 1 billion usage events. The real world instantiation of the presented abstract ontology is a semantic network model of the scholarly community which lends the scholarly process to statistical analysis and computational support. They present the ontology, discuss its instantiation, and provide some example inference rules for calculating various scholarly artifact metrics.

  1. Use of nanofiltration to reduce cooling tower water usage.

    SciTech Connect (OSTI)

    Sanchez, Andres L.; Everett, Randy L.; Jensen, Richard Pearson; Cappelle, Malynda A.; Altman, Susan Jeanne

    2010-09-01T23:59:59.000Z

    Nanofiltration (NF) can effectively treat cooling-tower water to reduce water consumption and maximize water usage efficiency of thermoelectric power plants. A pilot is being run to verify theoretical calculations. A side stream of water from a 900 gpm cooling tower is being treated by NF with the permeate returning to the cooling tower and the concentrate being discharged. The membrane efficiency is as high as over 50%. Salt rejection ranges from 77-97% with higher rejection for divalent ions. The pilot has demonstrated a reduction of makeup water of almost 20% and a reduction of discharge of over 50%.

  2. Tamper indicating bolt

    DOE Patents [OSTI]

    Blagin, Sergei V.; Barkanov, Boris P.

    2004-09-14T23:59:59.000Z

    A tamper-indicating fastener has a cylindrical body with threads extending from one end along a portion of the body, and a tamper indicating having a transducer for converting physical properties of the body into electronic data; electronics for recording the electronic data; and means for communicating the recorded information to a remote location from said fastener. The electronics includes a capacitor that varies as a function of force applied by the fastener, and non-volatile memory for recording instances when the capacitance varies, providing an indication of unauthorized access.

  3. "Table HC10.10 Home Appliances Usage Indicators by U.S. Census Regions, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4 Cooled0.10

  4. "Table HC10.12 Home Electronics Usage Indicators by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4

  5. "Table HC10.13 Lighting Usage Indicators by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43 Lighting

  6. "Table HC10.5 Space Heating Usage Indicators by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43

  7. "Table HC10.7 Air-Conditioning Usage Indicators by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436 Air7

  8. "Table HC11.10 Home Appliances Usage Indicators by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436 Air780.90

  9. "Table HC11.12 Home Electronics Usage Indicators by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362 Home

  10. "Table HC11.5 Space Heating Usage Indicators by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362 Home3245

  11. "Table HC11.7 Air-Conditioning Usage Indicators by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43627

  12. "Table HC12.10 Home Appliances Usage Indicators by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362780 Home

  13. "Table HC12.12 Home Electronics Usage Indicators by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362780

  14. "Table HC12.5 Space Heating Usage Indicators by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43627803245

  15. "Table HC12.7 Air-Conditioning Usage Indicators by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362780324567

  16. "Table HC13.10 Home Appliances Usage Indicators by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances Housing

  17. "Table HC13.5 Space Heating Usage Indicators by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances Housing13245

  18. "Table HC13.7 Air-Conditioning Usage Indicators by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7

  19. "Table HC14.10 Home Appliances Usage Indicators by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78 Water3.90

  20. "Table HC14.12 Home Electronics Usage Indicators by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78

  1. "Table HC14.5 Space Heating Usage Indicators by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835 Space

  2. "Table HC14.7 Air-Conditioning Usage Indicators by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835 Space67

  3. "Table HC15.10 Home Appliances Usage Indicators by Four Most Populated States, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835 Housing0

  4. "Table HC15.12 Home Electronics Usage Indicators by Four Most Populated States, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78352 Home

  5. "Table HC15.13 Lighting Usage Indicators by Four Most Populated States, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78352 Home3

  6. "Table HC15.5 Space Heating Usage Indicators by Four Most Populated States, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances783525 Space

  7. "Table HC15.7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances783525

  8. "Table HC3.10 Home Appliances Usage Indicators by Owner-Occupied Housing Unit, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78352580 Home

  9. "Table HC3.12 Home Electronics Usage Indicators by Owner-Occupied Housing Unit, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances783525802

  10. "Table HC3.13 Lighting Usage Indicators by Owner-Occupied Housing Unit Zone, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835258023

  11. "Table HC3.5 Space Heating Usage Indicators by Owner-Occupied Housing Unit, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835258023245

  12. "Table HC4.10 Home Appliances Usage Indicators by Renter-Occupied Housing Unit, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home7 Air-ConditioningHC3.90

  13. "Table HC4.12 Home Electronics Usage Indicators by Renter-Occupied Housing Unit, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home Electronics

  14. "Table HC4.13 Lighting Usage Indicators by Renter-Occupied Housing Unit Zone, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home Electronics3

  15. "Table HC4.5 Space Heating Usage Indicators by Renter-Occupied Housing Unit, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home Electronics3245

  16. "Table HC4.7 Air-Conditioning Usage Indicators by Renter-Occupied Housing Unit, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home

  17. "Table HC8.10 Home Appliances Usage Indicators by Urban/Rural Location, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home8 Water0 Home250

  18. "Table HC8.12 Home Electronics Usage Indicators by Urban/Rural Location, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home8 Water0 Home2502

  19. "Table HC8.5 Space Heating Usage Indicators by Urban/Rural Location, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home8 Water0

  20. Industrial energy use indices 

    E-Print Network [OSTI]

    Hanegan, Andrew Aaron

    2008-10-10T23:59:59.000Z

    Energy use index (EUI) is an important measure of energy use which normalizes energy use by dividing by building area. Energy use indices and associated coefficients of variation are computed for major industry categories ...

  1. The methods of steam coals usage for coke production

    SciTech Connect (OSTI)

    Korobetskii, I.A.; Ismagilov, M.S.; Nazimov, S.A.; Sladkova, I.L.; Shudrikov, E.S.

    1998-07-01T23:59:59.000Z

    Nowadays, high volatile bituminous coals are broadly used for metallurgical coke production in Russia. The share of such coals in the coking blend is variable from 20 to 40% by weight. There are some large coal deposits in Kuznetskii basin which have coals with low caking tendency. The low caking properties of such coals limit of its application in the coking process. At the same time the usage of low caking coals for coke production would allow flexibility of the feedstock for coke production. Preliminary tests, carried out in COAL-C's lab has shown some differences in coal properties with dependence on the size distribution. That is why the separation of the well-caking fraction from petrographically heterogeneous coals and its further usage in coking process may be promising. Another way for low caking coals application in the coke industry is briquettes production from such coals. This method has been known for a very long time. It may be divided into two possible directions. First is a direct coking of briquettes from the low caking coals. Another way is by adding briquettes to coal blends in defined proportion and combined coking. The possibility of application of coal beneficiation methods mentioned above was investigated in present work.

  2. additional county-level usage: Topics by E-print Network

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

    Libraries (CUL). While Rosen, Jay 363 Mining Usage Data and Development Artifacts Olga Baysal, Reid Holmes, and Michael W. Godfrey Computer Technologies and Information...

  3. Availability, usage and expected contribution of potential nursery habitats for the California halibut

    E-Print Network [OSTI]

    Fodrie, Fredrick Joel; Mendoza, Guillermo F.

    2006-01-01T23:59:59.000Z

    of a damsel?sh re?ect availability of suitable habitat.locate/ecss Availability, usage and expected contribution ofthe spatial coverage (availability) of all potential nursery

  4. A Decision-Based Analysis of Compressed Air Usage Patterns in Automotive Manufacturing

    E-Print Network [OSTI]

    Yuan, Chris; Zhang, Teresa; Rangarajan, Arvind; Dornfeld, David; Ziemba, Bill; Whitbeck, Rod

    2006-01-01T23:59:59.000Z

    Air Usage Patterns in Automotive Manufacturing Chris Y. Yuanper vehicle built from automotive manufacturing facilities,2004). Compressed Air in Automotive Manufacturing Compressed

  5. A Model-Based Approach to Synthesizing Insulin Infusion Pump Usage Parameters for Diabetic Patients

    E-Print Network [OSTI]

    Sankaranarayanan, Sriram

    A Model-Based Approach to Synthesizing Insulin Infusion Pump Usage Parameters for Diabetic Patients Fainekos Abstract-- We present a model-based approach to synthesiz- ing insulin infusion pump usage parameters against varying meal scenarios and physiological conditions. Insulin infusion pumps are commonly

  6. A taxonomy of virtual worlds usage in education Ishbel Duncan, Alan Miller and Shangyi Jiang

    E-Print Network [OSTI]

    St Andrews, University of

    1 A taxonomy of virtual worlds usage in education Ishbel Duncan, Alan Miller and Shangyi Jiang from around the world. A taxonomy is then derived from these articles, delineating current theoretical and practical work on Virtual World usage, specifically in the field of education. The taxonomy identifies rich

  7. Characterizing Geospatial Dynamics of Application Usage in a 3G Cellular Data Network

    E-Print Network [OSTI]

    Fisher, Kathleen

    Characterizing Geospatial Dynamics of Application Usage in a 3G Cellular Data Network M. Zubair provided the evidence that significant geospatial correla- tions, in terms of traffic volume and application access, exist in cellular network usage. Such geospatial correlation patterns provide local

  8. The User Side of Sustainability: Modeling Behavior and Energy Usage in the Home

    E-Print Network [OSTI]

    Cook, Diane J.

    The User Side of Sustainability: Modeling Behavior and Energy Usage in the Home Chao Chena, , Diane in everyday home environments to examine the relationship between behavioral patterns and energy consumption;technologies that examine energy usage in homes and to encourage energy effi- cient behaviors, in addition

  9. Clustering Educational Digital Library Usage Data: A Comparison of Latent Class Analysis and

    E-Print Network [OSTI]

    Qi, Xiaojun

    Clustering Educational Digital Library Usage Data: A Comparison of Latent Class Analysis and K-Means Analysis is superior to K-means on all three comparisons. In particular, LCA is more immune to the variance, the widely used K-means and the model-based Latent Class Analysis, are compared, using usage data from

  10. Web Usage Mining as a Tool for Personalization: a survey D. Pierrakos+

    E-Print Network [OSTI]

    Paliouras, George

    1 Web Usage Mining as a Tool for Personalization: a survey D. Pierrakos+ , G. Paliouras+ , C GREECE Abstract: This paper is a survey of recent work in the field of Web Usage Mining for the benefit of research on the personalization of Web-based information services. The essence of personalization

  11. A GeneralizationBased Approach to Clustering of Web Usage Sessions

    E-Print Network [OSTI]

    Fu, Yongjian

    A Generalization­Based Approach to Clustering of Web Usage Sessions Yongjian Fu, Kanwalpreet Sandhu,ksandhu,mingyig@umr.edu Abstract. The clustering of Web usage sessions based on the access patterns is studied. Access patterns of Web users are extracted from Web server log files, and then organized into sessions which represent

  12. Water usage dropping on campus, but UT hopes to lower it more

    E-Print Network [OSTI]

    Johnston, Daniel

    Water usage dropping on campus, but UT hopes to lower it more Photo Credit: Zachary Strain | Daily six years, UT has worked to decrease its water usage, but the University still has a ways to go if it the University was using one billion gallons of water per year. Across buildings, irrigation, chilling stations

  13. The Comparison of Usage and Availability Measurements for Evaluating Resource Douglas H. Johnson

    E-Print Network [OSTI]

    Steury, Todd D.

    The Comparison of Usage and Availability Measurements for Evaluating Resource Preference Douglas H and Conditions of Use, available at http://www.jstor.org/about/terms.html. JSTOR's Terms and Conditions of Use~etyof Amenca THE COMPARISON OF USAGE AND AVAILABILITY MEASUREMENTS FOR EVALUATING RESOURCE PREFERENCE1

  14. Modeling the Performance and the Energy Usage of Wireless Sensor Networks by Retrial Queueing Systems

    E-Print Network [OSTI]

    Sztrik, János

    Modeling the Performance and the Energy Usage of Wireless Sensor Networks by Retrial Queueing and the energy usage of the sensor network. Two operations are compared. In the first case only the event driven requests can initiate reaching the radio trans- mission (RF) unit. Time driven requests have to wait

  15. Usage Patterns of the Java Standard API Homan Ma, Robert Amor, Ewan Tempero

    E-Print Network [OSTI]

    Amor, Robert

    Usage Patterns of the Java Standard API Homan Ma, Robert Amor, Ewan Tempero Department of Computer,ewan}@cs.auckland.ac.nz Abstract The Java Standard API has grown enormously since Java's be- ginnings, now consisting of over 3 to help determine the "typical" usage of the Standard API. We find that, in an extensive corpus of open

  16. Usage Management in Cloud Computing Pramod A. Jamkhedkar, Christopher C. Lamb, Gregory L. Heileman

    E-Print Network [OSTI]

    Heileman, Gregory L.

    Usage Management in Cloud Computing Pramod A. Jamkhedkar, Christopher C. Lamb, Gregory L. Heileman will gain increasing importance as cloud computing becomes more pervasive. Existing service level agreement. This paper introduces the notion and importance of usage management in cloud computing. It provides

  17. A Look At Steam Usage in William's Athletic Facilities Patrick Morrissey

    E-Print Network [OSTI]

    Aalberts, Daniel P.

    A Look At Steam Usage in William's Athletic Facilities Patrick Morrissey Geosciences 206 Final Project Professor Dethier May 18, 2010 #12;Introduction: This paper will examine steam usage trends that Towne FH and Lansing Chapman both draw their steam from an enclosed loop heating system.23

  18. Enhanced tamper indicator

    DOE Patents [OSTI]

    Garcia, Anthony R.; Johnston, Roger G.

    2003-07-08T23:59:59.000Z

    The present invention provides an apparatus and method whereby the reliability and tamper-resistance of tamper indicators can be improved. A flexible connector may be routed through a latch for an enclosure such as a door or container, and the free ends of the flexible connector may be passed through a first locking member and firmly attached to an insert through the use of one or more attachment members such as set screws. A second locking member may then be assembled in interlocking relation with the first locking member to form an interlocked assembly around the insert. The insert may have one or more sharp projections extending toward the first or second locking member so that any compressive force applied in an attempt to disassemble the interlocked assembly results in permanent, visible damage to the first or second locking member.

  19. Figure 1. HomeWindow showing the energy usage of several monitors, displays, and computers with colored

    E-Print Network [OSTI]

    Greenberg, Saul

    Figure 1. HomeWindow showing the energy usage of several monitors, displays, and computers with colored auras. Red is high usage while green is low usage. HomeWindow: An Augmented Reality Domestic that reflects its current and historical energy use. Categories and Subject Descriptors H.5.2 [Information

  20. Woodfuel Usage Update 1 I Wood fuel use in Scotland 2011 I Hudson Consulting I September 2011

    E-Print Network [OSTI]

    energy sectors of the Scottish market) to 30 December 2010. The information gained from the study is usedWoodfuel Usage Update 1 I Wood fuel use in Scotland 2011 I Hudson Consulting I September 2011 Woodfuel Demand and Usage in Scotland Report 2011 #12;Woodfuel Usage Update 2 I Wood fuel use in Scotland

  1. FIELD TEST OF THE FLAME QUALITY INDICATOR

    SciTech Connect (OSTI)

    Andrew M. Rudin; Thomas Butcher; Henry Troost

    2003-02-04T23:59:59.000Z

    The flame quality indicator concept was developed at BNL specifically to monitor the brightness of the flame in a small oil burner and to provide a ''call for service'' notification when the brightness has changed from its setpoint, either high or low. In prior development work BNL has explored the response of this system to operational upsets such as excess air changes, fouled atomizer nozzles, poor fuel quality, etc. Insight Technologies, Inc. and Honeywell, Inc. have licensed this technology from the U.S. Department of Energy and have been cooperating to develop product offerings which meet industry needs with an optimal combination of function and price. Honeywell has recently completed the development of the Flame Quality Monitor (FQM or Honeywell QS7100F). This is a small module which connects via a serial cable to the burners primary operating control. Primary advantages of this approach are simplicity, cost, and ease of installation. Call-for-service conditions are output in the form of front panel indicator lights and contact closure which can trigger a range of external communication options. Under this project a field test was conducted of the FQM in cooperation with service organizations in Virginia, Pennsylvania, New Jersey, New York, and Connecticut. At total of 83 field sites were included. At each site the FQM was installed in parallel with another embodiment of this concept--the Insight AFQI. The AFQI incorporates a modem and provides the ability to provide detailed information on the trends in the flame quality over the course of the two year test period. The test site population was comprised of 79.5% boilers, 13.7% warm air furnaces, and 6.8% water heaters. Nearly all were of residential size--with firing rates ranging from 0.6 gallons of oil per hour to 1.25. During the course of the test program the monitoring equipment successfully identified problems including: plugged fuel lines, fouled nozzles, collapsed combustion chambers, and poor fuel pump cut-off. Service organizations can use these early indications to reduce problems and service costs. There were also some ''call-for-service'' indications for which problems were not identified. The test program also showed that monitoring of the flame can provide information on burner run times and this can be used to estimate current oversize factors and to determine actual fuel usage, enabling more efficient fuel delivery procedures.

  2. HIV Co-receptor Usage in HIV-related Non-Hodgkin's Lymphoma

    E-Print Network [OSTI]

    Reid, Erin; Morris, Sheldon R

    2012-01-01T23:59:59.000Z

    receptor usage, CCR5 CXCR4, SDF-1 Introduction Highly activewith SNP analysis for the SDF 1-3’A polymorphism (Appliedsamples were testing for the SDF polymorphism and four were

  3. PERSPECTIVES AND USAGE OF TECHNOLOGY OF ARABIC LANGUAGE TEACHERS IN THE UNITED ARAB EMIRATES

    E-Print Network [OSTI]

    ALhumaid, Khadija Farhan

    2014-05-31T23:59:59.000Z

    Abstract This study examined the perspectives and usage of technology by Arabic language teachers' in various schools all across The United Arab Emirates. Barriers to integrating technology were closely examined. Dimensions investigated included...

  4. Commercial Building Tenant Energy Usage Data Aggregation and Privacy: Technical Appendix

    SciTech Connect (OSTI)

    Livingston, Olga V.; Pulsipher, Trenton C.; Anderson, David M.

    2014-11-12T23:59:59.000Z

    This technical appendix accompanies report PNNL–23786 “Commercial Building Tenant Energy Usage Data Aggregation and Privacy”. The objective is to provide background information on the methods utilized in the statistical analysis of the aggregation thresholds.

  5. RECS Fuel Oil Usage Form_v1 (Draft).xps

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

    fuel oil usage for this delivery address between September 2008 and April 2010. Delivery Number Enter the Delivery Date for each delivery 1 2 3 4 5 6 7 8 9 10 Enter the Total...

  6. Improvements to building energy usage modeling during early design stages and retrofits

    E-Print Network [OSTI]

    Mandelbaum, Andrew (Andrew Joseph)

    2014-01-01T23:59:59.000Z

    A variety of improvements to the MIT Design Advisor, a whole-building energy usage modeling tool intended for use during early design stages, are investigated. These include changes to the thermal mass temperature distribution ...

  7. Polymethylmethacrylate blocking trays. The effects of repeated usage

    SciTech Connect (OSTI)

    Biggs, P.J.

    1983-10-01T23:59:59.000Z

    Sheets of polymethylmethacrylate (Lucite), which are commonly used to hold low-melting-point alloy blocks for radiation therapy treatments, are frequently recycled; subsequently, they generally contain a substantial number of holes. Experiments which have been performed to measure the deflection of these plates under a load indicate that, even with many holes drilled through the plates, their strength is not diminished significantly.

  8. Operating Costs Estimates Cost Indices

    E-Print Network [OSTI]

    Boisvert, Jeff

    to update costs of specific equipment, raw material or labor or CAPEX and OPEX of entire plants Cost Indices

  9. Vanadylporphyrins, indicators of kerogen breakdown and generation of petroleum

    SciTech Connect (OSTI)

    Sundararaman, P. (Chevron Oil Field Research Company, La Habra, CA (USA)); Biggs, W.R.; Reynolds, J.G.; Fetzer, J.C. (Chevron Research Company, Richmond, CA (USA))

    1988-09-01T23:59:59.000Z

    Attempts at understanding the transformation of organic material into fossil fuels often relies on biomarkers, organic compounds present in the geological record that can be related to naturally-occurring molecules from specific organisms. While porphyrins were the first biomarkers identified in fossil fuels, no significant use has been made of them in geochemical correlation studies. The authors believe that one limitation to their usage has been inaccurate models proposed for the fate of porphyrins during catagenesis. Using laboratory pyrolysis experiments they show that the changes observed in vanadylporphyrin distribution during catagenesis is due to increasing dilution of preexisting DPEP vanadylporphyrins by ETIO vanadylporphyrins released from kerogen. In conjunction with a quantitative expression describing the change in vanadylporphyrin distribution during maturation called the Porphyrin Maturity Parameter (PMP), a basis is now provided for the use of vanadylprophyrins as indicators of onset of petroleum generation.

  10. Heavy-duty truck population, activity and usage patterns. Final report

    SciTech Connect (OSTI)

    Fischer, M.

    1998-07-01T23:59:59.000Z

    The objective of the study was to update the heavy-duty truck (HDT) population, activity (e.g., vehicle miles traveled (VMT), numbers of starts and trips, trip duration, etc.), and usage patterns type of service/business (e.g., delivery, construction, etc.), area of operation (i.e., local, short-haul, long-haul) for HDT`s registered and/or operated in California. The population and activity estimates were done on a weight-class-specific basis light-heavy-duty, medium-heavy-duty and heavy-heavy-duty. Population, activity and usage estimates were based primarily on Department of Motor Vehicles (DMV) registration data and Truck Inventory and Usage Survey (TIUS) data. In addition to the analysis of existing data (i.e., DMV and TIUS), 42 HDTs were fitted with on-board data loggers that recorded numbers of trips and starts, daily VMT and travel by time-of-day.

  11. Energy Efficiency Indicators Methodology Booklet

    E-Print Network [OSTI]

    Sathaye, Jayant

    2010-01-01T23:59:59.000Z

    Lighting Appliance Definition Energy use per householdE/employee Indicator E/m Definition Energy use per squarem 2 per building type Definition Energy per square meter for

  12. Energy Efficiency Indicators Methodology Booklet

    SciTech Connect (OSTI)

    Sathaye, Jayant; Price, Lynn; McNeil, Michael; de la rue du Can, Stephane

    2010-05-01T23:59:59.000Z

    This Methodology Booklet provides a comprehensive review and methodology guiding principles for constructing energy efficiency indicators, with illustrative examples of application to individual countries. It reviews work done by international agencies and national government in constructing meaningful energy efficiency indicators that help policy makers to assess changes in energy efficiency over time. Building on past OECD experience and best practices, and the knowledge of these countries' institutions, relevant sources of information to construct an energy indicator database are identified. A framework based on levels of hierarchy of indicators -- spanning from aggregate, macro level to disaggregated end-use level metrics -- is presented to help shape the understanding of assessing energy efficiency. In each sector of activity: industry, commercial, residential, agriculture and transport, indicators are presented and recommendations to distinguish the different factors affecting energy use are highlighted. The methodology booklet addresses specifically issues that are relevant to developing indicators where activity is a major factor driving energy demand. A companion spreadsheet tool is available upon request.

  13. ON THE USAGE OF ANTENNAS IN MIMO AND MISO INTERFERENCE CHANNELS Mariam Kaynia

    E-Print Network [OSTI]

    Gesbert, David

    ON THE USAGE OF ANTENNAS IN MIMO AND MISO INTERFERENCE CHANNELS Mariam Kaynia , Andrea J. Goldsmith case of a MISO chan- nel is considered, where exact expressions for the ergodic capac- ity of the capacity of a MISO broadcast channel with a random beamformer is derived. However, the impact

  14. Optimal Power Procurement and Demand Response with Quality-of-Usage Guarantees

    E-Print Network [OSTI]

    Huang, Longbo

    1 Optimal Power Procurement and Demand Response with Quality-of-Usage Guarantees Longbo Huang, Jean the utility company to jointly perform power procurement and demand response so as to maximize the social are the inte- gration of renewable energy technologies [1] and the design of efficient user demand-response

  15. Semantic Analysis of Web Site Audience by Integrating Web Usage Mining and Web

    E-Print Network [OSTI]

    Libre de Bruxelles, Université

    Semantic Analysis of Web Site Audience by Integrating Web Usage Mining and Web Content Mining Jean://www.jrc.it/langtech Abstract. With the emergence of the World Wide Web, analyzing and improving Web communication has become essential to adapt the Web content to the visitors' expectations. Web communication analysis

  16. The TFRC protocol and its usage for wireless video transmission Christos Bouras1,2

    E-Print Network [OSTI]

    Bouras, Christos

    ) protocol in the area of efficient wireless video transmission and its possible usage in cross-layer power-layer approaches for adaptation of the power transmission level of the sender and TFRC feedback information, and therefore user experience, without unnecessary power consumption. INTRODUCTION Networking complexity has led

  17. ATTRIBUTE MUTABILITY IN USAGE CONTROL Jaehong Park, Xinwen Zhang, and Ravi Sandhu

    E-Print Network [OSTI]

    Sandhu, Ravi

    modern access control systems. Al- though the UCON study has been inspired largely from digital rights only by administrative actions. However, in modern information systems these attributes are often and modern access control policies. 1. Introduction The notion of usage control has been introduced recently

  18. Navy Leadership Disturbed by "Spice" Usage Rise Navy leaders are expressing alarm at recent statistics that

    E-Print Network [OSTI]

    Navy Leadership Disturbed by "Spice" Usage Rise Navy leaders are expressing alarm at recent, mimicking the chemical compounds found in the drug. These products are banned for Navy personnel (NAVADMIN) 108/10 in March 2010, which reemphasized the Navy's drug policy, the U.S. Navy has been

  19. REGULATION POLITIQUE ET REGULATION D'USAGE DANS LE TEMPS DE TRAVAIL1

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 REGULATION POLITIQUE ET REGULATION D'USAGE DANS LE TEMPS DE TRAVAIL1 : par G. de Terssac, J REGULATION AND REGULATION OF USE OVER WORKING TIME In this paper we discuss « social regulations » as defined by Reynaud (1999). These regulations, in our case (working)-time regulations, are multiple. Their combination

  20. Instructions for CEC-1250E-4 Biomass and Fossil Fuel Usage Report for Biomass Facilities

    E-Print Network [OSTI]

    Instructions for CEC-1250E-4 Biomass and Fossil Fuel Usage Report for Biomass Facilities Biomass energy input basis in the upcoming calendar year? - Please check "yes" or "no." 12. Types of Biomass Fuel Used - Please report the quantity and supplier of the following types of biomass fuel used

  1. The Portable Extensible Toolkit for Scientific computing Day 1: Usage and Algorithms

    E-Print Network [OSTI]

    The Portable Extensible Toolkit for Scientific computing Day 1: Usage and Algorithms Jed Brown CSCS runs performantly on a laptop · No iPhone support Jed Brown (ETH Zürich) PETSc day 1 CSCS 2010-05-10 5) · Same code runs performantly on a laptop · No iPhone support Jed Brown (ETH Zürich) PETSc day 1 CSCS

  2. Somniloquy: Augmenting Network Interfaces to Reduce PC Energy Usage Yuvraj Agarwal

    E-Print Network [OSTI]

    Zhou, Yuanyuan

    Somniloquy: Augmenting Network Interfaces to Reduce PC Energy Usage Yuvraj Agarwal , Steve Hodges@cs.ucsd.edu Abstract Reducing the energy consumption of PCs is becoming in- creasingly important with rising energy costs and environmen- tal concerns. Sleep states such as S3 (suspend to RAM) save energy, but are often

  3. Lifestyle studies Market demand Usage patterns Funding: Calif. Energy Commission, BMW, Calif. ARB, ECOtality

    E-Print Network [OSTI]

    California at Davis, University of

    as much energy as it consumes. When done in 2014, the 130-acre UC Davis West Village will be home to 3Consumers Lifestyle studies · Market demand · Usage patterns Funding: Calif. Energy Commission, BMW operation · Energy savings Funding: Chrysler, US Dept of Energy Lead researcher: Kevin Nesbitt, Ph

  4. Mining Usage Data and Development Artifacts Olga Baysal, Reid Holmes, and Michael W. Godfrey

    E-Print Network [OSTI]

    Godfrey, Michael W.

    Mining Usage Data and Development Artifacts Olga Baysal, Reid Holmes, and Michael W. Godfrey Software Architecture Group (SWAG) David R. Cheriton School of Computer Science, University of Waterloo {obaysal, rtholmes, migod}@uwaterloo.ca Abstract--Software repository mining techniques generally focus

  5. UDP: Usage-based Dynamic Pricing with Privacy Preservation for Smart Grid

    E-Print Network [OSTI]

    Shen, Xuemin "Sherman"

    overhead, we introduce distributed community gateways as proxies of the utility company to timely respond are managed adaptively to meet the electricity generation and distribution capabilities at any time be optimally utilized in real time. In this paper, we propose a usage-based dynamic pricing (UDP) scheme

  6. Impact of Liquefied Natural Gas usage and payload size on Hybrid Wing Body aircraft fuel efficiency

    E-Print Network [OSTI]

    Mody, Pritesh (Pritesh Chetan)

    2010-01-01T23:59:59.000Z

    This work assessed Hybrid Wing Body (HWB) aircraft in the context of Liquefied Natural Gas (LNG) fuel usage and payload/range scalability at three scales: H1 (B737), H2 (B787) and H3 (B777). The aircraft were optimized for ...

  7. ADAPTIVE WEB SITES BY WEB USAGE MINING Yongjian Fu Mario Creado MingYi Shih

    E-Print Network [OSTI]

    Fu, Yongjian

    ADAPTIVE WEB SITES BY WEB USAGE MINING Yongjian Fu Mario Creado Ming­Yi Shih Department of Computer An approach for reorganizing a Web site based on user access patterns is proposed. The Web server's log files and the Web pages on the site are first preprocessed to obtain the access statistics of the Web pages

  8. Mobile Application and Device Power Usage Measurements1,2 Rahul Murmuria, Jeffrey Medsger, Angelos Stavrou

    E-Print Network [OSTI]

    Stavrou, Angelos

    by the operating system's power-management module. We present the models capability to further calculate the powerMobile Application and Device Power Usage Measurements1,2 Rahul Murmuria, Jeffrey Medsger, Angelos Gaithersburg, MD 20899 Email:jeff.voas@nist.gov Abstract--Reducing power consumption has become a cru- cial

  9. A Large-scale Study on Predicting and Contextualizing Building Energy Usage J. Zico Kolter

    E-Print Network [OSTI]

    Kolter, J. Zico

    fuels (Multiple 2009). In the United States, 41% of all energy is consumed in residential and commercial people with feedback about their energy use can itself produce behavior changes that significantly reduce the value of normative energy feedback, showing users how their usage relates to that of their peers

  10. Improving API Documentation Using API Usage Information Jeffrey Stylos, Andrew Faulring, Zizhuang Yang, Brad A. Myers

    E-Print Network [OSTI]

    Matsuda, Noboru

    than with standard Javadoc. 1. Introduction An Application Programming Interface (API) is the userImproving API Documentation Using API Usage Information Jeffrey Stylos, Andrew Faulring, Zizhuang://www.cs.cmu.edu/~jadeite Abstract Jadeite is a new Javadoc-like API documentation system that takes advantage of multiple users

  11. A Graph-based Approach to API Usage Adaptation Hoan Anh Nguyen,1a

    E-Print Network [OSTI]

    Kim, Miryung

    to accommodate new feature requests, to fix bugs, and to meet new standards, changes in API declarationsA Graph-based Approach to API Usage Adaptation Hoan Anh Nguyen,1a Tung Thanh Nguyen,1b Gary Wilson standards, the clients of software libraries often need to make correspond- ing changes to correctly use

  12. The OffPAD: Requirements and Usage Kent Are Varmedal1

    E-Print Network [OSTI]

    Boyer, Edmond

    The OffPAD: Requirements and Usage Kent Are Varmedal1 , Henning Klevjer1 , Joakim Hovlandsv°ag1 by descriptions of different applications that can be implemented with contemporary technology. Finally platform". This certainly provides great flexibility and support for many new business models, but it also

  13. Supporting Mobile Service Usage through Physical Mobile Interaction Gregor Broll1

    E-Print Network [OSTI]

    Service technology and Physical Mobile Interaction. This interaction paradigm uses mobile devicesSupporting Mobile Service Usage through Physical Mobile Interaction Gregor Broll1 , Sven Siorpaes1 albrecht.schmidt@ifi.lmu.de Abstract Although mobile services can be used ubiquitously, their employment

  14. Promiscuous Usage of Nucleotides by the DNA Helicase of Bacteriophage T7

    E-Print Network [OSTI]

    Richardson, Charles C.

    Promiscuous Usage of Nucleotides by the DNA Helicase of Bacteriophage T7 DETERMINANTS OF NUCLEOTIDE activity. Very little is known regarding the architecture of the nucleotide binding site in determining nucleotide specificity. Crystal structures of the T7 helicase domain with bound dATP or dTTP identified Arg

  15. Logo Standards In this guide, you will find usage standards for the

    E-Print Network [OSTI]

    Kasman, Alex

    Logo Standards #12;In this guide, you will find usage standards for the new College of Charleston logo system. This guide is provided as a supplement to the College of Charleston Brand Manual, which at http://marcomm.cofc.edu. The new logo, which combines the existing College of Charleston wordmark

  16. L'usage d'un micro-monde pour apprendre la programmation en LOGO

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    L'usage d'un micro-monde pour apprendre la programmation en LOGO Marios Xenos1 , Zacharoula difficultés, en utilisant le langage LOGO pour programmer le comportement d'objets dans un contexte de permet aux élèves de changer le code en LOGO pour modifier les éléments graphiques et affecter le

  17. Optimisation of Fuel Usage and Steam Availability in the Power and Steam

    E-Print Network [OSTI]

    Cambridge, University of

    the medium pressure manifold (nominally operated at 14 bar), through a steam turbine that can be usedOptimisation of Fuel Usage and Steam Availability in the Power and Steam Plant of a Paper Mill KEYWORDS: Model Predictive Control, Improved Efficiency, Optimisation, Power and Steam Supply System

  18. Woodfuel Usage Update 1 I Wood fuel use in Scotland 2012 I Hudson Consulting I November 2012

    E-Print Network [OSTI]

    furnish of 150k odt/yr in 2012. 9. Including wood going for the production of pellets, usage of wood in progress 3.3. Wood fuel usage by fuel category 3.4. Pellet plants 3.5. Greenhouse gas emissions 4 to 1.073 million odt in 2014. 8. Four wood pellet manufacturing plants in Scotland used in total some

  19. Simplifying Tensor Polynomials with Indices

    E-Print Network [OSTI]

    A. Balfagon; X. Jaen

    1998-09-22T23:59:59.000Z

    We are presenting an algorithm capable of simplifying tensor polynomials with indices when the building tensors have index symmetry properties. These properties include simple symmetry, cyclicity and those due to the presence of partial and covariant derivatives. We are also including some examples using the Riemann tensor as a paradigm. The algorithm is part of a Mathematica package called Tools of Tensor Calculus (TTC) [web address: http://baldufa.upc.es/ttc

  20. Identifying Software Usage at HPC Centers with the Automatic Library Tracking Database

    SciTech Connect (OSTI)

    Hadri, Bilel [ORNL; Fahey, Mark R [ORNL; Jones, Nicholas A [ORNL

    2010-01-01T23:59:59.000Z

    A library tracking database has been developed to monitor software/library usage. This Automatic Library Tracking Database (ALTD) automatically and transparently stores, into a database, information about the libraries linked into an application at compilation time and also the executables launched in a batch job. Information gathered into the database can then be mined to provide reports. Analyzing the results from the data collected will help to identify, for example, the most frequently used and the least used libraries and codes, and those users that are using deprecated libraries or applications. We will illustrate the usage of libraries and executables on the Cray XT platforms hosted at the National Institute for Computational Sciences and the Oak Ridge Leadership Computing Facility (both located at Oak Ridge National Laboratory).

  1. "Table HC1.3 Heated Floorspace Usage Indicators, 2005" " Million U.S. Housing Units"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal

  2. "Table HC1.4 Cooled Floorspace Usage Indicators, 2005" " Million U.S. Housing Units"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4 Cooled

  3. Usage Demographics

    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 ScienceandMesa del SolStrengthening aTurbulence mayUndergraduateAbout Us Updatesproject

  4. Corrosion indicating equipment UK-1

    SciTech Connect (OSTI)

    Gerasimenko, Y.S.; Abrosimov, V.S.; Rudenko, A.K.; Sorokin, V.I.

    1986-11-01T23:59:59.000Z

    UK-1, developed and introduced into oil industry corrosion-indicating equipment, has been developed on the basis of the principle of measurements of polarization resistance. It is designed for determining the corrosion activity of effluents of oil fields. The technical data and design of the equipment is discussed. The investigations were carried out on 08kp steel in simulation effluents of oil fields in the presence of corrosion inhibitors used in the oil industry at various temperatures (25-50 C) and liquid flow rate.

  5. Examining the adoption, usage and outcomes of mobile money services: the case of M-PESA in Kenya 

    E-Print Network [OSTI]

    Morawczynski, Olga

    2011-07-04T23:59:59.000Z

    This thesis will examine the adoption, usage and outcomes of a mobile money service called MPESA. Since being launched in 2007, the service has seen phenomenal growth in Kenya. Over 7.5 million users, or 34% of the adult ...

  6. Guidelines for Energy Cost Savings Resulting from Tracking and Monitoring Electrical nad Natural Gas Usage, Cost, and Rates

    E-Print Network [OSTI]

    McClure, J. D.; Estes, M. C.; Estes, J. M.

    1989-01-01T23:59:59.000Z

    This paper discusses how improved energy information in schools and hospitals from tracking and monitoring electrical and natural gas usage, cost, and optional rate structures, can reduce energy costs. Recommendations, methods, and guidelines...

  7. Guidelines for Energy Cost Savings Resulting from Tracking and Monitoring Electrical nad Natural Gas Usage, Cost, and Rates 

    E-Print Network [OSTI]

    McClure, J. D.; Estes, M. C.; Estes, J. M.

    1989-01-01T23:59:59.000Z

    This paper discusses how improved energy information in schools and hospitals from tracking and monitoring electrical and natural gas usage, cost, and optional rate structures, can reduce energy costs. Recommendations, ...

  8. SME-Entrepreneurship Global Conference 2006 -Refereed Paper Bakke et al.: ICT diffusion and usage among Asian SMEs 1

    E-Print Network [OSTI]

    Sahay, Sundeep

    SME-Entrepreneurship Global Conference 2006 - Refereed Paper Bakke et al.: ICT diffusion and usage factors, infrastructures and post-adoption behaviour Paper for the conference: "SME ­ Entrepreneurship. Keywords: Diffusion models, infrastructure, domestication, small and medium sized enterprises, SME, ICT

  9. From Measurements to Sustainable Choices: Non-intrusive Fine-grained Sensing of Resource Usage in Buildings

    E-Print Network [OSTI]

    Jalali. Bahram

    From Measurements to Sustainable Choices: Non-intrusive Fine- grained Sensing of Resource Usage. Example pictures of non-intrusive pipe level water monitoring test-bed and non- intrusive appliance power

  10. Tamper-indicating barcode and method

    DOE Patents [OSTI]

    Cummings, Eric B.; Even, Jr., William R.; Simmons, Blake A.; Dentinger, Paul Michael

    2005-03-22T23:59:59.000Z

    A novel tamper-indicating barcode methodology is disclosed that allows for detection of alteration to the barcode. The tamper-indicating methodology makes use of a tamper-indicating means that may be comprised of a particulate indicator, an optical indicator, a deformable substrate, and/or may be an integrated aspect of the barcode itself. This tamper-indicating information provides greater security for the contents of containers sealed with the tamper-indicating barcodes.

  11. An investigation of winter Texans' time usage in the Lower Rio Grande Valley

    E-Print Network [OSTI]

    Marshall, Keith Alan

    1991-01-01T23:59:59.000Z

    will increase. Operational Definitions The following definitions were used to guide this study: ~Win ~rT x ns - Retired persons who stay in the Lower Rio Grande Valley of Texas for at least one month during the Winter. consisting of four counties (Cameron...AN INVESTIGATION OF WINTER TEXANS' TIME USAGE IN THE LOWER RIO GRANDE VALLEY A Thesis by 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...

  12. Label Building Natural Gas Usage Form 1999 Commercial Buildings Energy Consumption Survey (CBECS)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:DeploymentSite Name:24,High naturalProsperityNatural Gas Usage

  13. Energy Indicators for Sustainable Development: Guidelines and...

    Open Energy Info (EERE)

    Some indicators focus on the delivery of essential energy services for reducing poverty and improving living conditions, while other indicators focus on environmental...

  14. Optimal Power Procurement and Demand Response with Quality-of-Usage Guarantees

    E-Print Network [OSTI]

    Huang, Longbo; Ramchandran, Kannan

    2011-01-01T23:59:59.000Z

    In this paper, we propose a general operating scheme which allows the utility company to jointly perform power procurement and demand response so as to maximize the social welfare. Our model takes into consideration the effect of the renewable energy and the multi-stage feature of the power procurement process. It also enables the utility company to provide quality-of-usage (QoU) guarantee to the power consumers, which ensures that the average power usage level meets the target value for each user. To maximize the social welfare, we develop a low-complexity algorithm called the \\emph{welfare maximization algorithm} (WMA), which performs joint power procurement and dynamic pricing. WMA is constructed based on a two-timescale Lyapunov optimization technique. We prove that WMA achieves a close-to-optimal utility and ensures that the QoU requirement is met with bounded deficit. WMA can be implemented in a distributed manner and is robust with respect to system dynamics uncertainty.

  15. Usage of Electric Vehicle Supply Equipment Along the Corridors between the EV Project Major Cities

    SciTech Connect (OSTI)

    Mindy Kirkpatrick

    2012-05-01T23:59:59.000Z

    The report explains how the EVSE are being used along the corridors between the EV Project cities. The EV Project consists of a nationwide collaboration between Idaho National Laboratory (INL), ECOtality North America, Nissan, General Motors, and more than 40 other city, regional and state governments, and electric utilities. The purpose of the EV Project is to demonstrate the deployment and use of approximately 14,000 Level II (208-240V) electric vehicle supply equipment (EVSE) and 300 fast chargers in 16 major cities. This research investigates the usage of all currently installed EV Project commercial EVSE along major interstate corridors. ESRI ArcMap software products are utilized to create geographic EVSE data layers for analysis and visualization of commercial EVSE usage. This research locates the crucial interstate corridors lacking sufficient commercial EVSE and targets locations for future commercial EVSE placement. The results and methods introduced in this research will be used by INL for the duration of the EV Project.

  16. Assessment of groundwater usage at Chalk Point power plant. Final report

    SciTech Connect (OSTI)

    Not Available

    1982-07-01T23:59:59.000Z

    In order to quantify the usage of ground water in an operating electric power plant, a study was initiated in 1978 aimed at determining where in the energy conversion process ground water is used and to suggest, if possible, alternate means for providing this water and/or methods to reduce consumption. The Chalk Point Plant was selected for this study because of its difference in fuel source (coal and oil), and because of its high consumption of ground water (approximately 800,000 to 1,200,000 gallons per day). Located at the confluence of the Patuxent River and Swanson Creek in the southeast corner of Prince George's County, Maryland, it consists of three operating units, with a fourth unit under construction during the survey time. (unit 4 has recently become operational). With the cooperation of the Potomac Electric Power Company, the plant was selected for study and was instrumented with several flow meters. Over a two-year period, this plant has been monitored to provide the information needed to make an assessment of the rates, nature, and methods of water usage in an operating power plant.

  17. Spécification pour les stratifiés industriels rigides en planches à base de résines thermodurcissables à usage électriques partie 3: spécifications pour matériaux particuliers : feuille 7: prescriptions pour les stratifiés rigides en planches à base de résine polyimide

    E-Print Network [OSTI]

    Association Française de Normalisation. Paris

    1995-01-01T23:59:59.000Z

    Spécification pour les stratifiés industriels rigides en planches à base de résines thermodurcissables à usage électriques

  18. The effects of user mobility on usage parameter control (UPC) in wireless ATM systems

    SciTech Connect (OSTI)

    Sholander, P.; Martinez, L.; Tolendino, L. [Sandia National Labs., Albuquerque, NM (United States); Mah, B.A. [Sandia National Labs., Livermore, CA (United States)

    1997-07-01T23:59:59.000Z

    Wireless Asynchronous Transfer Mode (WATM) networks pose new traffic management problems. One example is the effect of user mobility on Usage Parameter Control (UPC). If the UPC algorithm resets after each handoff between wireless-cells, then users can cheat on their traffic contract. This paper derives explicit relationships between a user`s traffic parameters (Peak Cell Rate, Sustained Cell Rate and Maximum Burst Size), their transit time per wireless-cell, their maximum sustained cheating-rate and the Generic Cell Rate Algorithm`s (GCRA`s) Limit (L) parameter. It also shows that the GCRA can still effectively police Constant Bit Rate (CBR) traffic, but not some types of realistic Variable Bit Rate (VBR) traffic.

  19. Prolonged cold storage of red blood cells by oxygen removal and additive usage

    DOE Patents [OSTI]

    Bitensky, Mark W. (Boston, MA); Yoshida, Tatsuro (Newton, MA)

    1998-01-01T23:59:59.000Z

    Prolonged cold storage of red blood cells by oxygen removal and additive usage. A cost-effective, 4.degree. C. storage procedure that preserves red cell quality and prolongs post-transfusion in vivo survival is described. The improved in vivo survival and the preservation of adenosine triphosphate levels, along with reduction in hemolysis and membrane vesicle production of red blood cells stored at 4.degree. C. for prolonged periods of time, is achieved by reducing the oxygen level therein at the time of storage; in particular, by flushing the cells with an inert gas, and storing them in an aqueous solution which includes adenine, dextrose, mannitol, citrate ion, and dihydrogen phosphate ion, but no sodium chloride, in an oxygen-permeable container which is located in an oxygen-free environment containing oxygen-scavenging materials.

  20. Prolonged cold storage of red blood cells by oxygen removal and additive usage

    DOE Patents [OSTI]

    Bitensky, M.W.; Yoshida, Tatsuro

    1998-08-04T23:59:59.000Z

    Prolonged cold storage of red blood cells by oxygen removal and additive usage. A cost-effective, 4 C storage procedure that preserves red cell quality and prolongs post-transfusion in vivo survival is described. The improved in vivo survival and the preservation of adenosine triphosphate levels, along with reduction in hemolysis and membrane vesicle production of red blood cells stored at 4 C for prolonged periods of time, is achieved by reducing the oxygen level therein at the time of storage; in particular, by flushing the cells with an inert gas, and storing them in an aqueous solution which includes adenine, dextrose, mannitol, citrate ion, and dihydrogen phosphate ion, but no sodium chloride, in an oxygen-permeable container which is located in an oxygen-free environment containing oxygen-scavenging materials. 8 figs.

  1. Energy Performance Indicator | Department of Energy

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

    Energy Performance Indicator Energy Performance Indicator April 17, 2014 - 10:57am Addthis The EnPI V3.0 is a regression analysis based tool developed by the U.S. Department of...

  2. Simulation of the Rungis Wholesale Market: lessons on the calibration, validation and usage of a Cognitive Agent-based Simulation

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Simulation of the Rungis Wholesale Market: lessons on the calibration, validation and usage on a simulation of the Rungis Wholesale Market (in France) using cognitive agents. The implication of using of the system. Our case, the Fruits and Vegetables wholesale market of the Rungis Food Market, constitutes

  3. USAGE OF RADARS FOR WIND ENERGY APPICATIONS Determine the benefit of using radar observations for wind energy applications by

    E-Print Network [OSTI]

    USAGE OF RADARS FOR WIND ENERGY APPICATIONS TASK: Determine the benefit of using radar observations for wind energy applications by analyzing i) the resolution effects and ii) sensitivity effects of weather radar systems. MOTIVATION: Wind energy applications strongly focus high-resolution wind observations

  4. IDENTIFYING THE USAGE PATTERNS OF METHYL TERT-BUTYL ETHER (MTBE) AND OTHER OXYGENATES IN GASOLINE USING GASOLINE

    E-Print Network [OSTI]

    IDENTIFYING THE USAGE PATTERNS OF METHYL TERT-BUTYL ETHER (MTBE) AND OTHER OXYGENATES IN GASOLINE 1608 Mt. View Rapid City, SD 57702 Methyl tert-butyl ether (MTBE) is commonly added to gasoline. In 1998, 11.9 billion liters of MTBE were produced in the U.S. MTBE has been detected frequently

  5. Dveloppement de l'usage des TICE et de leur utilisabilit dans les CFA du secteur automobile

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Développement de l'usage des TICE et de leur « utilisabilité » dans les CFA du secteur automobile formation professionnelle dans le secteur de l'automobile, qui entre dans sa quatrième année. Les effets de systems in professional training; teachers training; diffusion and change management. Le contexte L'automobile

  6. UBC Social Ecological Economic Development Studies (SEEDS) Student Report An Investigation into Waste Heat Recovery for Usage by a Rooftop Greenhouse

    E-Print Network [OSTI]

    into Waste Heat Recovery for Usage by a Rooftop Greenhouse Rohit Singla, Jeremy Lord, Jorden Hetherington Investigation into Waste Heat Recovery for Usage by a Rooftop Greenhouse April 4, 2013 Dr. Naoko Ellis APSC 262 of a microbrewery, an excess amount of waste heat in the form of steam is produced. In the sustainability principles

  7. Computer usage and national energy consumption: Results from a field-metering study

    SciTech Connect (OSTI)

    Desroches, Louis-Benoit; Fuchs, Heidi; Greenblatt, Jeffery; Pratt, Stacy; Willem, Henry; Claybaugh, Erin; Beraki, Bereket; Nagaraju, Mythri; Price, Sarah; Young, Scott

    2014-12-01T23:59:59.000Z

    The electricity consumption of miscellaneous electronic loads (MELs) in the home has grown in recent years, and is expected to continue rising. Consumer electronics, in particular, are characterized by swift technological innovation, with varying impacts on energy use. Desktop and laptop computers make up a significant share of MELs electricity consumption, but their national energy use is difficult to estimate, given uncertainties around shifting user behavior. This report analyzes usage data from 64 computers (45 desktop, 11 laptop, and 8 unknown) collected in 2012 as part of a larger field monitoring effort of 880 households in the San Francisco Bay Area, and compares our results to recent values from the literature. We find that desktop computers are used for an average of 7.3 hours per day (median = 4.2 h/d), while laptops are used for a mean 4.8 hours per day (median = 2.1 h/d). The results for laptops are likely underestimated since they can be charged in other, unmetered outlets. Average unit annual energy consumption (AEC) for desktops is estimated to be 194 kWh/yr (median = 125 kWh/yr), and for laptops 75 kWh/yr (median = 31 kWh/yr). We estimate national annual energy consumption for desktop computers to be 20 TWh. National annual energy use for laptops is estimated to be 11 TWh, markedly higher than previous estimates, likely reflective of laptops drawing more power in On mode in addition to greater market penetration. This result for laptops, however, carries relatively higher uncertainty compared to desktops. Different study methodologies and definitions, changing usage patterns, and uncertainty about how consumers use computers must be considered when interpreting our results with respect to existing analyses. Finally, as energy consumption in On mode is predominant, we outline several energy savings opportunities: improved power management (defaulting to low-power modes after periods of inactivity as well as power scaling), matching the rated power of power supplies to computing needs, and improving the efficiency of individual components.

  8. FieldIndicators of Hydric Soils

    E-Print Network [OSTI]

    Gray, Matthew

    Soils, Version 5.01, 2003 Natural Resources Conservation Service Wetland Science Institute Soil on the right has mucky peat (hemic soil material) to a depth of about 8 cm. If indicator S2 (2.5 cm mucky peat or peat) or indicator S3 (5 cm mucky peat or peat) is not a concern, morphologies below 8 cm would

  9. Approximating Power Indices --Theoretical and Empirical Analysis

    E-Print Network [OSTI]

    Rosenschein, Jeff

    , by providing lower bounds for both deter- ministic and randomized algorithms for calculating power indices. WeApproximating Power Indices -- Theoretical and Empirical Analysis Yoram Bachrach School and Computer Science, The Hebrew University, Jerusalem, Israel Amin Saberi Department of Management Science

  10. / http://www.sciencemag.org/content/early/recent / 26 September 2013 / Page 1 / 10.1126/science.1241934 Codon usage is biased in natural genes and can strongly affect heterolo-

    E-Print Network [OSTI]

    Church, George M.

    to represent a wide range of codon usages and secondary structure free energies across the translation differences (fig. S7A). New metrics that take into account both tRNA availability and usage (nTE) show

  11. Scintillation probe with photomultiplier tube saturation indicator

    DOE Patents [OSTI]

    Ruch, Jeffrey F. (Bethel Park, PA); Urban, David J. (Glassport, PA)

    1996-01-01T23:59:59.000Z

    A photomultiplier tube saturation indicator is formed by supplying a supplemental light source, typically an light emitting diode (LED), adjacent to the photomultiplier tube. A switch allows the light source to be activated. The light is forwarded to the photomultiplier tube by an optical fiber. If the probe is properly light tight, then a meter attached to the indicator will register the light from the LED. If the probe is no longer light tight, and the saturation indicator is saturated, no signal will be registered when the LED is activated.

  12. Redshift indicators for gamma-ray bursts

    E-Print Network [OSTI]

    J-L. Atteia

    2005-05-04T23:59:59.000Z

    The measure of the distances and luminosities of gamma-ray bursts (GRBs) led to the discovery that many GRB properties are strongly correlated with their intrinsic luminosity, leading to the construction of reliable luminosity indicators. These GRB luminosity indicators have quickly found applications, like the construction of 'pseudo-redshifts', or the measure of luminosity distances, which can be computed independently of the measure of the redshift. In this contribution I discuss various issues connected with the construction of luminosity-redshift indicators for gamma-ray bursts.

  13. Urinary 1-hydroxypyrene concentrations in Chinese coke oven workers relative to job category, respirator usage, and cigarette smoking

    SciTech Connect (OSTI)

    Bo Chen; Yunping Hu; Lixing Zheng; Qiangyi Wang; Yuanfen Zhou; Taiyi Jin [Fudan University, Shanghai (China). School of Public Health

    2007-09-15T23:59:59.000Z

    1-Hydroxypyrene (1-OHP) is a biomarker of recent exposure to polycyclic aromatic hydrocarbons (PAHs). We investigated whether urinary 1-OHP concentrations in Chinese coke oven workers (COWs) are modulated by job category, respirator usage, and cigarette smoking. The present cross-sectional study measured urinary 1-OHP concentrations in 197 COWs from Coking plant I and 250 COWs from Coking plant II, as well as 220 unexposed referents from Control plant I and 56 referents from Control plant II. Urinary 1-OHP concentrations (geometric mean, {mu}mol/mol creatinine) were 5.18 and 4.21 in workers from Coking plants I and II, respectively. The highest 1-OHP levels in urine were found among topside workers including lidmen, tar chasers, and whistlers. Benchmen had higher 1-OHP levels than other workers at the sideoven. Above 75% of the COWs exceeded the recommended occupational exposure limit of 2.3 {mu}mol/mol creatinine. Respirator usage and increased body mass index (BMI) slightly reduced 1-OHP levels in COWs. Cigarette smoking significantly increased urinary 1-OHP levels in unexposed referents but had no effect in COWs. Chinese COWs, especially topside workers and benchmen, are exposed to high levels of PAHs. Urinary 1-OHP concentrations appear to be modulated by respirator usage and BMI in COWs, as well as by smoking in unexposed referents.

  14. ANNUAL REPORT: INDICATORS OF INSTITUTIONAL QUALITY

    E-Print Network [OSTI]

    Farritor, Shane

    ANNUAL REPORT: INDICATORS OF INSTITUTIONAL QUALITY 2010-2011 #12;2 #12;3 T A B L E O F C O N T E N ................................................................................................................. 5 Quantitative Measures of Quality................................................................................................................... 20 Total Research Expenditures

  15. Benchmarking Sustainability: the use of Indicators

    E-Print Network [OSTI]

    Zaferatos, Nicholas C.

    Benchmarking Sustainability: the use of Indicators Introduction The concept of sustainable development is both very popular and elusive. The overwhelming appeal of sustainability is situated to build a generally shared perception of sustainable development (Butler, 1998). For many people

  16. Off-label indications for imiquimod

    E-Print Network [OSTI]

    Ganjian, Shahrouz; Ourian, Ariel J; Shamtoub, GabrEal; Wu, Jashin J; Murase, Jenny E

    2009-01-01T23:59:59.000Z

    Off-label indications for imiquimod Shahrouz Ganjian 1 ,potential candidate for off-label use in over 60 conditionspotential candidate for off-label use in over 60 conditions

  17. Optical temperature indicator using thermochromic semiconductors

    DOE Patents [OSTI]

    Kronberg, J.W.

    1995-01-01T23:59:59.000Z

    A reversible optical temperature indicator utilizes thermochromic semiconductors which vary in color in response to various temperature levels. The thermochromic material is enclosed in an enamel which provides protection and prevents breakdown at higher temperatures. Cadmium sulfide is the preferred semiconductor material. The indicator may be utilized as a sign or in a striped arrangement to clearly provide a warning to a user. The various color responses provide multiple levels of alarm.

  18. Societal health and urban sustainability indicators

    SciTech Connect (OSTI)

    Petrich, C.H.; Tonn, B.E.

    1996-08-27T23:59:59.000Z

    Without the social will, no city can successfully Undertake the planning and programs necessary for meaningful progress toward sustainability. Social will derives from wellsprings of vital societal health. This paper presents an approach to helping cities in APEC member economies initiate a program for developing indicators of sustainability. Representative indicators of social capital and other aspects of civic engagement, as proxies for societal health, are presented.

  19. Optical temperature indicator using thermochromic semiconductors

    DOE Patents [OSTI]

    Kronberg, James W. (108 Independent Blvd., Aiken, SC 29801)

    1996-01-01T23:59:59.000Z

    A reversible optical temperature indicator utilizes thermochromic semiconductors which vary in color in response to various temperature levels. The thermochromic material is enclosed in an enamel which provides protection and prevents breakdown at higher temperatures. Cadmium sulfide is the preferred semiconductor material. The indicator may be utilized as a sign or in a striped arrangement to clearly provide a warning to a user. The various color responses provide multiple levels of alarm.

  20. Acoustic Tag Usage Discussion Brad Eppard of USACE (see PowerPoint for more details)

    E-Print Network [OSTI]

    below). 7. In response to a question of whether or not there is competition between tagging technologies data, USACE does not favor open access. 8. Tag loss was evaluated in 2007 and 2008 and did not indicate

  1. Rearrangement of Variable Region T Cell Receptor y Genes in Acute Lymphoblastic Leukemia Vy Gene Usage Differs in Mature and Immature T Cells

    E-Print Network [OSTI]

    Hara, Junichi; Benedict, Stephen H.; Yumura, Keiko; Ha-Kawa, Kyungsae; Gelfand, Erwin W.

    1989-04-01T23:59:59.000Z

    Using probes recognizing variable regions (V gamma) and joining regions (J gamma) of the T cell receptor (TCR) gamma gene, we have analyzed the usage of V gamma genes in 24 patients with T cell acute lymphoblastic leukemia ...

  2. Maximizing the usage of renewable energy will reduce our reliance on dwindling natural resources and environmental pollution. Batteries are an important enabling technology for renewable energy, portable

    E-Print Network [OSTI]

    Tsymbal, Evgeny Y.

    Maximizing the usage of renewable energy will reduce our reliance on dwindling natural resources and environmental pollution. Batteries are an important enabling technology for renewable energy, portable electronics, and modern transportation systems such as hybrid electric vehicles. However, limitation

  3. Performance indicators for first quarter CY 1994

    SciTech Connect (OSTI)

    Not Available

    1994-11-01T23:59:59.000Z

    The Department of Energy (DOE) has established a Department-Wide Performance Indicator (PI) Program for trending and analysis of operational data as directed by DOE Order 5480.26. The PI Program was established to provide a means for monitoring the environment safety, and health (ES&H) performance of the DOE at the Secretary and other management levels. This is the thirteenth in a series of quarterly reports generated for the Department of Energy Idaho Operations Office (DOE-ID) by EG&G Idaho, Inc., to meet the requirements of the PI Program as directed by the DOE Standard (DOE-STD-1048-92). The report format and content adhere to the guidelines established In DOE Order 5480.26, Trending and Analysis of Operations Information Using Performance Indicators, and DOE-STD-1048-92, DOE Peformance Indicators Guidance Document.

  4. Performance Indicators of Wind Energy Production

    E-Print Network [OSTI]

    D'Amico, G; Prattico, F

    2015-01-01T23:59:59.000Z

    Modeling wind speed is one of the key element when dealing with the production of energy through wind turbines. A good model can be used for forecasting, site evaluation, turbines design and many other purposes. In this work we are interested in the analysis of the future financial cash flows generated by selling the electrical energy produced. We apply an indexed semi-Markov model of wind speed that has been shown, in previous investigation, to reproduce accurately the statistical behavior of wind speed. The model is applied to the evaluation of financial indicators like the Internal Rate of Return, semi-Elasticity and relative Convexity that are widely used for the assessment of the profitability of an investment and for the measurement and analysis of interest rate risk. We compare the computation of these indicators for real and synthetic data. Moreover, we propose a new indicator that can be used to compare the degree of utilization of different power plants.

  5. State of charge indicators for a battery

    DOE Patents [OSTI]

    Rouhani, S. Zia (Idaho Falls, ID)

    1999-01-01T23:59:59.000Z

    The present invention relates to state of charge indicators for a battery. One aspect of the present invention utilizes expansion and contraction displacements of an electrode plate of a battery to gauge the state of charge in the battery. One embodiment of a battery of the present invention includes an anodic plate; a cathodic plate; an electrolyte in contact with the anodic and cathodic plates; plural terminals individually coupled with one of the anodic and cathodic plates; a separator intermediate the anodic and cathodic plates; an indicator configured to indicate an energy level of the battery responsive to movement of the separator; and a casing configured to house the anodic and cathodic plates, electrolyte, and separator.

  6. Lanthanide-halide based humidity indicators

    DOE Patents [OSTI]

    Beitz, James V. (Hinsdale, IL); Williams, Clayton W. (Chicago, IL)

    2008-01-01T23:59:59.000Z

    The present invention discloses a lanthanide-halide based humidity indicator and method of producing such indicator. The color of the present invention indicates the humidity of an atmosphere to which it is exposed. For example, impregnating an adsorbent support such as silica gel with an aqueous solution of the europium-containing reagent solution described herein, and dehydrating the support to dryness forms a substance with a yellow color. When this substance is exposed to a humid atmosphere the water vapor from the air is adsorbed into the coating on the pore surface of the silica gel. As the water content of the coating increases, the visual color of the coated silica gel changes from yellow to white. The color change is due to the water combining with the lanthanide-halide complex on the pores of the gel.

  7. Proportional structural effects of formative indicators

    E-Print Network [OSTI]

    Franke, George R.; Preacher, Kristopher J.; Rigdon, Ed E.

    2009-03-15T23:59:59.000Z

    : an application to the motion picture industry. J Acad Mark Sci 2006;34(Fall):559–75. Howell RD, Breivik E, Wilcox JB. Is formative measurement really mea- surement? Reply to Bollen (2007) and Bagozzi (2007). Psychol Methods 2007;12(December):238–45. Jarvis CB... and Winklhofer, 2001; Edwards and Bagozzi, 2000; Jarvis et al., 2003; Petter et al., 2007). Some criteria deal with constructs and indicators in isolation from other constructs. For example, reflective indicators of a unidimensional construct manifest the same...

  8. Watch for the red dot indicating

    E-Print Network [OSTI]

    > http:// > Watch for the red dot indicating expanded stories online sdm.mit.edu/pulse continued its facilities by constructing the European Extremely Large Telescope (E-ELT) on a mountain in Chile isolated from the grid. The planned construction of the E-ELT and the challenges faced by the current

  9. The Scottish Forestry Strategy Description of indicators

    E-Print Network [OSTI]

    The Scottish Forestry Strategy Description of indicators Updated December 2011 1 #12;T h e S c o of wood energy plant (in megawatt thermal and electrical) Number of non-domestic, wood fuelled energy sector Forecast wood availability from the national forest estate Timber's contribution to Scottish Value

  10. Eco-innovation indicators European Environment Agency

    E-Print Network [OSTI]

    Eco-innovation indicators European Environment Agency Copenhagen, February 2006 #12;Page 2 consisted of Timo Mäkelä, DG Environment, Pierre Valette, DG Research, and Björn Stigson World Business measure the progress made in implementing the Environment Technology Action Plan. Currently, the field

  11. Vegetation Indices to Aid Areal Evapotranspiration Estimations

    E-Print Network [OSTI]

    Szilagyi, Jozsef

    Vegetation Indices to Aid Areal Evapotranspiration Estimations Jozsef Szilagyi1 Abstract: Multiyear Seevers and Ottmann 1994; Nicholson et al. 1996; Sz- ilagyi et al. 1998; Szilagyi and Parlange 1999; Szilagyi 2000 . Different authors drew differing conclusions about the appli- cability of NDVI to estimate

  12. Oxygen Detection via Nanoscale Optical Indicators

    E-Print Network [OSTI]

    Ghosh, Ruby N.

    Oxygen Detection via Nanoscale Optical Indicators Ruby N. Ghosh Dept. of Physics Michigan State University East Lansing, MI, USA weekschr@msu.edu Abstract--Oxygen plays a ubiquitous role in terrestrial developed an optical technique for monitoring oxygen in both gas and liquid phases utilizing nanoscale metal

  13. Indicators of recent environmental change in Alaska

    SciTech Connect (OSTI)

    Jacoby, G.C.; D`Arrigo, R.D.; Juday, G.

    1997-12-31T23:59:59.000Z

    Climate models predict that global warming due to the effects of increasing trace gases will be amplified in northern high latitude regions, including Alaska. Several environmental indicators, including tree-ring based temperature reconstructions, borcal forest growth measurements and observations of glacial retreat all indicate that the general warming of the past century has been significant relative to prior centuries to millenia. The tree-ring records for central and northern Alaska indicate that annual temperature increased over the past century, peaked in the 1940s, and are still near the highest level for the past three centuries (Jacoby and D`Arrigo 1995). The tree-ring analyses also suggest that drought stress may now be a factor limiting growth at many northern sites. The recent warming combined with drier years may be altering the response of tree growth to climate and raising the likelihood of forest changes in Alaska and other boreal forests. Other tree-ring and forest data from southern and interior Alaska provide indices of the response of vegetation to extreme events (e.g., insect outbreaks, snow events) in Alaska (Juday and marler 1996). Historical maps, field measurements and satellite imagery indicate that Alaskan glaciers have receded over the past century (e.g., Hall and Benson 1996). Severe outbreaks of bark beetles may be on the increase due to warming, which can shorten their reproductive cycle. Such data and understanding of causes are useful for policy makers and others interested in evaluation of possible impacts of trace-gas induced warming and environmental change in the United States.

  14. De l'indicateur l'valuation de la satisfaction des usagers Aurlien Ragaigne

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    New Public Management ». Peu présent dans les obligations juridiques1 , les travaux sur l From the indicator to the evaluation of users' satisfaction Abstract : Politicians and public managers is not certain in the public management. The research in control management had studied the contingent choice

  15. Spanish and English language usage by rural and urban Spanish-American families in two South Texas counties

    E-Print Network [OSTI]

    Mahoney, Mary Katherine

    1967-01-01T23:59:59.000Z

    T, Hall, The Silent ~Lanka ueee, (Garden City, New york: Doubleday snd Company, 195~9 , p. 61. 8 Joshua A. Fishman and V. C. Nahriny, ~o. cit. These include: Mary L. Cothran, "An Analysis of Occupational Patterns Among Rural snd Urban Spanish... the acculturation of this population group. Moreovery the studies have not attempted to relate Spanish and English language usage by Spanish-Americans to these particular factors. This thesis 22 Jurgen Ruesch and Weldon Kees, Nonverbal Communication IB 2 2 y: 2...

  16. Analyzing the Impact of Residential Building Attributes, Demographic and Behavioral Factors on Natural Gas Usage

    SciTech Connect (OSTI)

    Livingston, Olga V.; Cort, Katherine A.

    2011-03-03T23:59:59.000Z

    This analysis examines the relationship between energy demand and residential building attributes, demographic characteristics, and behavioral variables using the U.S. Department of Energy’s Residential Energy Consumption Survey 2005 microdata. This study investigates the applicability of the smooth backfitting estimator to statistical analysis of residential energy consumption via nonparametric regression. The methodology utilized in the study extends nonparametric additive regression via local linear smooth backfitting to categorical variables. The conventional methods used for analyzing residential energy consumption are econometric modeling and engineering simulations. This study suggests an econometric approach that can be utilized in combination with simulation results. A common weakness of previously used econometric models is a very high likelihood that any suggested parametric relationships will be misspecified. Nonparametric modeling does not have this drawback. Its flexibility allows for uncovering more complex relationships between energy use and the explanatory variables than can possibly be achieved by parametric models. Traditionally, building simulation models overestimated the effects of energy efficiency measures when compared to actual "as-built" observed savings. While focusing on technical efficiency, they do not account for behavioral or market effects. The magnitude of behavioral or market effects may have a substantial influence on the final energy savings resulting from implementation of various energy conservation measures and programs. Moreover, variability in behavioral aspects and user characteristics appears to have a significant impact on total energy consumption. Inaccurate estimates of energy consumption and potential savings also impact investment decisions. The existing modeling literature, whether it relies on parametric specifications or engineering simulation, does not accommodate inclusion of a behavioral component. This study attempts to bridge that gap by analyzing behavioral data and investigate the applicability of additive nonparametric regression to this task. This study evaluates the impact of 31 regressors on residential natural gas usage. The regressors include weather, economic variables, demographic and behavioral characteristics, and building attributes related to energy use. In general, most of the regression results were in line with previous engineering and economic studies in this area. There were, however, some counterintuitive results, particularly with regard to thermostat controls and behaviors. There are a number of possible reasons for these counterintuitive results including the inability to control for regional climate variability due to the data sanitization (to prevent identification of respondents), inaccurate data caused by to self-reporting, and the fact that not all relevant behavioral variables were included in the data set, so we were not able to control for them in the study. The results of this analysis could be used as an in-sample prediction for approximating energy demand of a residential building whose characteristics are described by the regressors in this analysis, but a certain combination of their particular values does not exist in the real world. In addition, this study has potential applications for benefit-cost analysis of residential upgrades and retrofits under a fixed budget, because the results of this study contain information on how natural gas consumption might change once a particular characteristic or attribute is altered. Finally, the results of this study can help establish a relationship between natural gas consumption and changes in behavior of occupants.

  17. INDICE INDEX IMAGEN DE LA PORTADA

    E-Print Network [OSTI]

    Rutten, Rob

    #12;CCI 2006 2 INDICE INDEX IMAGEN DE LA PORTADA La imagen solar de la portada de este año fue imagen adjunta de la Tierra indica la escala. Esta línea se genera en la alta cromosfera del Sol, una magnético formando lazos. La imagen muestra la complejidad de los fenómenos observados en la línea H

  18. National Climate Assessment Indicators: Background, Development, & Examples

    SciTech Connect (OSTI)

    Janetos, Anthony C.; Chen, Robert; Arndt, Deke; Kenney, Melissa A.; Abbasi, Daniel; Armstrong, Tom; Bartuska, Ann; Blair, Maria; Buizer, Jim; Dietz, Tom; Easterling, Dave; Kaye, Jack; Kolian, Michael; McGeehin, Michael; O'Connor, Robert; Pulwarty, Roger; Running, Steve; Schmalensee, Dick; Webb, Robert; Weltzin, Jake; Baptista, Sandra; Enquist, Carolyn A.; Janetos, Anthony C.; Chen, Robert; Arndt, Deke; Hatfield, Jerry; Hayes, Mark L.; Jones, K. Burce; McNutt, Chad; Meier, Wayne R.; Schwartz, Mark D.; Svoboda, Mark

    2012-02-28T23:59:59.000Z

    Indicators are usually thought of as measurements or calculations that represent important features of the status, trend, or performance of a system of interest (e.g. the economy, agriculture, air quality). They are often used for the most practical of reasons – one cannot measure everything important about systems of interest, so there is a practical need to identify major features that can be reported periodically and used to guide both research and decisions (NRC 2000).

  19. Residential market transformation: National and regional indicators

    SciTech Connect (OSTI)

    Van Wie McGrory, Laura L.; McNamara, Maureen; Suozzo, Margaret

    2000-06-01T23:59:59.000Z

    A variety of programs are underway to address market barriers to the adoption of energy-efficient residential technologies and practices. Most are administered by utilities, states, or regions that rely on the Energy Star as a consistent platform for program marketing and messaging. This paper reviews regional and national market transformation activities for three key residential end-uses -- air conditioning, clothes washing, and lighting -- characterizing current and ongoing programs; reporting on progress; identifying market indicators; and discussing implications.

  20. Performance indicators for third quarter, CY 1993

    SciTech Connect (OSTI)

    Groh, M.

    1993-12-31T23:59:59.000Z

    The Department of Energy (DOE) has established a Department-wide Performance Indicator (PI) Program for trending and analysis of operational data as directed by DOE Order 5480.26. The Pl Program was established to provide a means for monitoring the environment safety, and health (ES&H) performance of the DOE at the Secretary and other management levels. This is the eleventh in a series of quarterly reports generated for the Department of Energy Idaho Operations Office (DOE-ID) by EG&G Idaho, Inc. The information in this eleventh quarterly report, while contributing to a historical database for supporting future trending analysis, does not at this time provide a sound basis for developing trend-related conclusions. In the future, it is expected that trending and analysis of operational data will enhance the safety culture In both DOE and contractor organizations by providing an early warning of deteriorating environmental, safety, and health conditions. DOE-STD-1048-92 identifies four general areas of Pls. They are: Personnel Safety, Opperational Incidents, Environment, Management. These four areas have been subdivided into 28 performance indicators. Approximately 115 performance indicator control and distribution charts comprise the body of this report. A brief summary of Pls contained in each of these general areas is provided in each of these general areas is provided.

  1. Constraining the Braking Indices of Magnetars

    E-Print Network [OSTI]

    Gao, Z F; Wang, N; Yuan, J P; Peng, Q H; Du, Y J

    2015-01-01T23:59:59.000Z

    Due to the lack of long term pulsed emission in quiescence and the strong timing noise, it is impossible to directly measure the braking index $n$ of a magnetar. Based on the estimated ages of their potentially associated supernova remnants (SNRs), we estimate the values of $n$ of nine magnetars with SNRs, and find that they cluster in a range of $1\\sim$41. Six magnetars have smaller braking indices of $13$ for other three magnetars are attributed to the decay of external braking torque, which might be caused by magnetic field decay. We estimate the possible wind luminosities for the magnetars with $13$ within the updated magneto-thermal evolution models. We point out that there could be some connections between the magnetar's anti-glitch event and its braking index, and the magnitude of $n$ should be taken into account when explaining the event. Although the constrained range of the magnetars' braking indices is tentative, our method provides an effective way to constrain the magnetars' braking indices if th...

  2. Performance indicators for public mental healthcare: A systematic international inventory

    E-Print Network [OSTI]

    Lauriks, Steve; Buster, Marcel CA; de Wit, Matty AS; Arah, Onyebuchi A; Klazinga, Niek S

    2012-01-01T23:59:59.000Z

    Lauriks et al. : Performance indicators for public mentaland properties of unique performance indicators for publicOA, Klazinga NS: Performance indicators for public mental

  3. The advanced flame quality indicator system

    SciTech Connect (OSTI)

    Oman, R.; Rossi, M.J.; Calia, V.S.; Davis, F.L.; Rudin, A. [Insight Technologies, Inc., Bohemia, NY (United States)

    1997-09-01T23:59:59.000Z

    By combining oil tank monitoring, systems diagnostics and flame quality monitoring in an affordable system that communicates directly with dealers by telephone modem, Insight Technologies offers new revenue opportunities and the capability for a new order of customer relations to oil dealers. With co-sponsorship from New York State Energy Research and Development Authority, we have incorporated several valuable functions to a new product based on the original Flame Quality Indicator concept licensed from the US DOE`s Brookhaven National Laboratory. The new system is the Advanced Flame Quality Indicator, or AFQI. As before, the AFQI monitors and reports the intensity of the burner flame relative to a calibration established when the burner is set up at AFQI installation. Repairs or adjustments are summoned by late-night outgoing telephone calls when limits are exceeded in either direction, indicating an impending contamination or other malfunction. A independently, a pressure transducer for monitoring oil tank level and filter condition, safety lockout alarms and a temperature monitor; all reporting automatically at instructed intervals via an on-board modem to a central station PC computer (CSC). Firmware on each AFQI unit and Insight-supplied software on the CSC automatically interact to maintain a customer database for an oil dealer, an OEM, or a regional service contractor. In addition to ensuring continuously clean and efficient operation, the AFQI offers the oil industry a new set of immediate payoffs, among which are reduced outages and emergency service calls, shorter service calls from cleaner operation, larger oil delivery drops, the opportunity to stretch service intervals to as along as three years in some cases, new selling features to keep and attract customers, and greatly enhanced customer contact, quality and reliability.

  4. Turbine airfoil with outer wall thickness indicators

    DOE Patents [OSTI]

    Marra, John J; James, Allister W; Merrill, Gary B

    2013-08-06T23:59:59.000Z

    A turbine airfoil usable in a turbine engine and including a depth indicator for determining outer wall blade thickness. The airfoil may include an outer wall having a plurality of grooves in the outer surface of the outer wall. The grooves may have a depth that represents a desired outer surface and wall thickness of the outer wall. The material forming an outer surface of the outer wall may be removed to be flush with an innermost point in each groove, thereby reducing the wall thickness and increasing efficiency. The plurality of grooves may be positioned in a radially outer region of the airfoil proximate to the tip.

  5. Globular cluster luminosity function as distance indicator

    E-Print Network [OSTI]

    Rejkuba, M

    2012-01-01T23:59:59.000Z

    Globular clusters are among the first objects used to establish the distance scale of the Universe. In the 1970-ies it has been recognized that the differential magnitude distribution of old globular clusters is very similar in different galaxies presenting a peak at M_V ~ -7.5. This peak magnitude of the so-called Globular Cluster Luminosity Function has been then established as a secondary distance indicator. The intrinsic accuracy of the method has been estimated to be of the order of ~0.2 mag, competitive with other distance determination methods. Lately the study of the Globular Cluster Systems has been used more as a tool for galaxy formation and evolution, and less so for distance determinations. Nevertheless, the collection of homogeneous and large datasets with the ACS on board HST presented new insights on the usefulness of the Globular Cluster Luminosity Function as distance indicator. I discuss here recent results based on observational and theoretical studies, which show that this distance indica...

  6. Optical indices of lithiated electrochromic oxides

    SciTech Connect (OSTI)

    Rubin, M.; Rottkay, K. von; Wen, S.J.; Ozer, N.; Slack, J.

    1996-09-01T23:59:59.000Z

    Optical indices have been determined for thin films of several electrochromic oxide materials. One of the most important materials in electrochromic devices, WO{sub 3}, was thoroughly characterized for a range of electrochromic states by sequential injection of Li ions. Another promising material, Li{sub 0.5}Ni{sub 0.5}O, was also studied in detail. Less detailed results are presented for three other common lithium-intercalating electrochromic electrode materials: V{sub 2}O{sub 5}, LiCoO{sub 2}, and CeO{sub 2}-TiO{sub 2}. The films were grown by sputtering, pulsed laser deposition (PLD) and sol-gel techniques. Measurements were made using a combination of variable-angle spectroscopy ellipsometry and spectroradiometry. The optical constants were then extracted using physical and spectral models appropriate to each material. Optical indices of the underlying transparent conductors, determined in separate studies, were fixed in the models of this work. The optical models frequently agree well with independent physical measurements of film structure, particularly surface roughness by atomic force microscopy. Inhomogeneity due to surface roughness, gradient composition, and phase separation are common in both the transparent conductors and electrochromics, resulting sometimes in particularly complex models for these materials. Complete sets of data are presented over the entire solar spectrum for a range of colored states. This data is suitable for prediction of additional optical properties such as oblique transmittance and design of complete electrochromic devices.

  7. Physical security and tamper-indicating devices

    SciTech Connect (OSTI)

    Johnston, R.G.; Garcia, A.R.E.

    1997-02-01T23:59:59.000Z

    Computer systems, electronic communications, digital data, and computer storage media are often highly vulnerable to physical tampering. Tamper-indicating devices, also called security seals, are widely used to detect physical tampering or unauthorized access. We studied 94 different security seals, both passive and electronic, developed either commercially or by the US government. Most of these seals are in wide-spread use, including for critical applications. We learned how to defeat all 94 seals using rapid, inexpensive, low-tech methods. Cost was not a good predictor of seal security. It appears to us that many of these seals can be dramatically improved with minor, low-cost modifications to either the seal or the use protocol.

  8. Non-intrusive refrigerant charge indicator

    DOE Patents [OSTI]

    Mei, Viung C.; Chen, Fang C.; Kweller, Esher

    2005-03-22T23:59:59.000Z

    A non-intrusive refrigerant charge level indicator includes a structure for measuring at least one temperature at an outside surface of a two-phase refrigerant line section. The measured temperature can be used to determine the refrigerant charge status of an HVAC system, and can be converted to a pressure of the refrigerant in the line section and compared to a recommended pressure range to determine whether the system is under-charged, properly charged or over-charged. A non-intrusive method for assessing the refrigerant charge level in a system containing a refrigerant fluid includes the step of measuring a temperature at least one outside surface of a two-phase region of a refrigerant containing refrigerant line, wherein the temperature measured can be converted to a refrigerant pressure within the line section.

  9. Novel tamper-indicating protective devices

    SciTech Connect (OSTI)

    DeVolpi, A.

    1995-07-01T23:59:59.000Z

    Several novel tamper-indicating devices, originally developed under DOE auspices for arms control applications, might be useful in nonproliferation. Some devices that have reached the laboratory prototype stage could provide specialized alternatives to established seals. As locks and cables, the following might be useful: (1) a brittle ceramic lock--impervious to toxic, radiation, and thermal extremes--interrogated for identification and continuity by ultrasonic means, (2) a flexible ceramic-fiber seal that also tolerates severe environments, (3) an ultrasonic smart-material strip seal, and (4) an RF-resonant coaxial cable, verified by radio frequency and microwave signals. To validate the identity of secured surfaces, joints, welds, and fasteners--two techniques are applicable: (1) the scanning electron microscope, which examines three- dimensional micron-level topography, and (2) the plastic-casting fingerprint, a simple low-cost technique, analogous to human fingerprinting. The techniques mentioned above have one or more of the potential advantages of low cost, immediate availability, security for large-area enclosures, application to hazardous environments, usability in the FSU, or suitability for covert use.

  10. Assessment of current cybersecurity practices in the public domain : cyber indications and warnings domain.

    SciTech Connect (OSTI)

    Hamlet, Jason R.; Keliiaa, Curtis M.

    2010-09-01T23:59:59.000Z

    This report assesses current public domain cyber security practices with respect to cyber indications and warnings. It describes cybersecurity industry and government activities, including cybersecurity tools, methods, practices, and international and government-wide initiatives known to be impacting current practice. Of particular note are the U.S. Government's Trusted Internet Connection (TIC) and 'Einstein' programs, which are serving to consolidate the Government's internet access points and to provide some capability to monitor and mitigate cyber attacks. Next, this report catalogs activities undertaken by various industry and government entities. In addition, it assesses the benchmarks of HPC capability and other HPC attributes that may lend themselves to assist in the solution of this problem. This report draws few conclusions, as it is intended to assess current practice in preparation for future work, however, no explicit references to HPC usage for the purpose of analyzing cyber infrastructure in near-real-time were found in the current practice. This report and a related SAND2010-4766 National Cyber Defense High Performance Computing and Analysis: Concepts, Planning and Roadmap report are intended to provoke discussion throughout a broad audience about developing a cohesive HPC centric solution to wide-area cybersecurity problems.

  11. Plant Wide Assessment of Energy Usage Utilizing SitEModelling as a Tool for Optimizing Energy Consumption

    SciTech Connect (OSTI)

    Ralf Janowsky, Ph.D.; Tracey Mole, Ph.D.

    2007-12-31T23:59:59.000Z

    The Evonik Degussa Corporation is the global market leader in the specialty chemicals industry. Innovative products and system solutions make an indispensable contribution to our customers' success. We refer to this as "creating essentials". In fiscal 2004, Degussa's 45,000 employees worldwide generated sales of 11.2 billion euros and operating profits (EBIT) of 965 million euros. Evonik Degussa Corporation has performed a plant wide energy usage assessment at the Mapleton, Illinois facility, which consumed 1,182,330 MMBTU in 2003. The purpose of this study was to identify opportunities for improvement regarding the plant’s utility requirements specific to their operation. The production is based mainly on natural gas usage for steam, process heating and hydrogen production. The current high price for natural gas in the US is not very competitive compared to other countries. Therefore, all efforts must be taken to minimize the utility consumption in order to maximize market position and minimize fixed cost increases due to the rising costs of energy. The main objective of this plant wide assessment was to use a methodology called Site Energy Modelling (SitE Modelling) to identify areas of potential improvement for energy savings, either in implementing a single process change or in changing the way different processes interact with each other. The overall goal was to achieve energy savings of more than 10% compared to the 2003 energy figures of the Mapleton site. The final savings breakdown is provided below: - 4.1% savings for steam generation and delivery These savings were accomplished through better control schemes, more constant and optimized loading of the boilers and increased boiler efficiency through an advanced control schemes. - 1.6% savings for plant chemical processing These saving were accomplished through optimized processing heating efficiency and batch recipes, as well as an optimized production schedule to help equalize the boiler load (e.g. steam consumption).

  12. Review of sustainability indices and indicators: Towards a new City Sustainability Index (CSI)

    SciTech Connect (OSTI)

    Mori, Koichiro, E-mail: kmori@iis.u-tokyo.ac.jp [Institute of Industrial Science, University of Tokyo (Japan); Christodoulou, Aris, E-mail: aris.christodoulou@ucl.ac.uk [Centre for Transport Studies, University College London (United Kingdom)

    2012-01-15T23:59:59.000Z

    The purpose of this paper is to discuss conceptual requirements for a City Sustainability Index (CSI) and to review existing major sustainability indices/indicators in terms of the requirements. The following indices are reviewed: Ecological Footprint (EF), Environmental Sustainability Index (ESI), Dashboard of Sustainability (DS), Welfare Index, Genuine Progress Indicator (GPI), Index of Sustainable Economic Welfare, City Development Index, emergy/exergy, Human Development Index (HDI), Environmental Vulnerability Index (EVI), Environmental Policy Index (EPI), Living Planet Index (LPI), Environmentally-adjusted Domestic Product (EDP), Genuine Saving (GS), and some applications of composite indices or/and multivariate indicators to local or regional context as case studies. The key conceptual requirements for an adequate CSI are: (i) to consider environmental, economic and social aspects (the triple bottom line of sustainability) from the viewpoint of strong sustainability; (ii) to capture external impacts (leakage effects) of city on other areas beyond the city boundaries particularly in terms of environmental aspects; (iii) to create indices/indicators originally for the purpose of assessing city sustainability; and (iv) to be able to assess world cities in both developed and developing countries using common axes of evaluation. Based on the review, we conclude that it is necessary to create a new CSI that enables us to assess and compare cities' sustainability performance in order to understand the global impact of cities on the environment and human life as compared with their economic contribution. In the future, the CSI will be able to provide local authorities with guidance toward sustainable paths. - Highlights: Black-Right-Pointing-Pointer We derive the four key requirements for a new City Sustainability Index (CSI) system. Black-Right-Pointing-Pointer First, the triple bottom line must be considered in terms of strong sustainability. Black-Right-Pointing-Pointer Second, environmental leakage effects beyond city boundaries should be captured. Black-Right-Pointing-Pointer Third, 'city sustainability' should be originally considered when CSI is created. Black-Right-Pointing-Pointer Fourth, cities in developed and developing countries can be evaluated without bias.

  13. Paper No. 11.05 1 A Half Century of Tapered-Pile Usage at the John F. Kennedy International Airport

    E-Print Network [OSTI]

    Horvath, John S.

    Paper No. 11.05 1 A Half Century of Tapered-Pile Usage at the John F. Kennedy International Airport piles have been the deep foundation of choice ever since construction of and at the well-known John F. Kennedy International Airport (JFKIA) in New York City began in the late 1940s. Timber piles were used

  14. Lithium Polymer (LiPo) Battery Usage Lithium polymer batteries are now being widely used in hobby and UAV applications. They work

    E-Print Network [OSTI]

    Langendoen, Koen

    Lithium Polymer (LiPo) Battery Usage 1 Lithium polymer batteries are now being widely used in hobby only LiPo Chargers with Error Detection - It is always recommended that you charge your lithium polymer batteries with a battery charger specifically designed for lithium polymer batteries. As an example, you

  15. 36 selected citations from Petroleum: An Annotated Bibliography on Petroleum Pollution Chabreck, R. H. 1973. Bird usage of marsh ponds subjected to oil spills. Proceedings of the

    E-Print Network [OSTI]

    Torgersen, Christian

    36 selected citations from Petroleum: An Annotated Bibliography on Petroleum Pollution Chabreck, R period. Data on bird usage, plants, invertebrates, fish, and oil in sediments and water. The petroleum and calculated LC50s Anderson, R. D. 1975. Petroleum hydrocarbons and oyster resources of Galveston Bay, Texas

  16. Computer Simulations Indicate Calcium Carbonate Has a Dense Liquid...

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

    Computer Simulations Indicate Calcium Carbonate Has a Dense Liquid Phase Computer Simulations Indicate Calcium Carbonate Has a Dense Liquid Phase Berkeley Lab research could help...

  17. Sustainability Indicators for Discrete Manufacturing Processes Applied to Grinding Technology

    E-Print Network [OSTI]

    Linke, Barbara S.; Corman, Gero J.; Dornfeld, David A.; Tönissen, Stefan

    2013-01-01T23:59:59.000Z

    the data into three sustainability indicators for eachor into one total sustainability indicator. The weighting isAn overview of sustainability assessment methodologies,

  18. Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator Aug 2013 Center for Economic Analysis and Forecasting (CEAF), California

    E-Print Network [OSTI]

    de Lijser, Peter

    Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator Aug 2013 © Center for Economic Analysis and Forecasting (CEAF), California State University Fullerton Adrian R. Fleissig, Ph

  19. Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator November 2013 Center for Economic Analysis and Forecasting (CEAF), Calif

    E-Print Network [OSTI]

    de Lijser, Peter

    Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator November 2013 © Center for Economic Analysis and Forecasting (CEAF), California State University Fullerton Adrian R. Fleissig, Ph

  20. Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator November 2010 Institute for Economic and Environmental Studies (IEES), C

    E-Print Network [OSTI]

    de Lijser, Peter

    Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator November 2010 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

  1. Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator May 2012 Institute for Economic and Environmental Studies (IEES), Califo

    E-Print Network [OSTI]

    de Lijser, Peter

    Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator May 2012 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

  2. Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator November 2012 Institute for Economic and Environmental Studies (IEES), C

    E-Print Network [OSTI]

    de Lijser, Peter

    Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator November 2012 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

  3. Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator May 2011 Institute for Economic and Environmental Studies (IEES), Califo

    E-Print Network [OSTI]

    de Lijser, Peter

    Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator May 2011 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

  4. Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator November 2011 Institute for Economic and Environmental Studies (IEES), C

    E-Print Network [OSTI]

    de Lijser, Peter

    Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator November 2011 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

  5. Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator May 2014 Center for Economic Analysis and Forecasting (CEAF), California

    E-Print Network [OSTI]

    de Lijser, Peter

    Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator May 2014 © Center for Economic Analysis and Forecasting (CEAF), California State University Fullerton Adrian R. Fleissig, Ph

  6. Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator August 2012 Institute for Economic and Environmental Studies (IEES), Cal

    E-Print Network [OSTI]

    de Lijser, Peter

    Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator August 2012 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

  7. Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator August 2011 Institute for Economic and Environmental Studies (IEES), Cal

    E-Print Network [OSTI]

    de Lijser, Peter

    Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator August 2011 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

  8. Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator February 2014 Center for Economic Analysis and Forecasting (CEAF), Calif

    E-Print Network [OSTI]

    de Lijser, Peter

    Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator February 2014 © Center for Economic Analysis and Forecasting (CEAF), California State University Fullerton Adrian R. Fleissig, Ph

  9. Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator August 2014 Center for Economic Analysis and Forecasting (CEAF), Califor

    E-Print Network [OSTI]

    de Lijser, Peter

    Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator August 2014 © Center for Economic Analysis and Forecasting (CEAF), California State University Fullerton Adrian R. Fleissig, Ph

  10. Performance indicators for public mental healthcare: A systematic international inventory

    E-Print Network [OSTI]

    Lauriks, Steve; Buster, Marcel CA; de Wit, Matty AS; Arah, Onyebuchi A; Klazinga, Niek S

    2012-01-01T23:59:59.000Z

    care Study Performance indicator Related criterion Result Simpson & Lloyd [17] • Methadone maintenance (MM) drug abuse treatment

  11. Correlation of gas-chromatographic retention indices and high-order bonding indices for polycyclic aromatic hydrocarbons

    SciTech Connect (OSTI)

    Bulycheva, Z.Y.; Dylevskaya, L.V.; Kutenev, V.F.; Rudenko, B.A.

    1985-08-10T23:59:59.000Z

    The authors apply multifactor correlation equations between the retention indices on OV-101, OV-17, and PFMS-6 polysiloxanes and the bonding indices from the zeroth to fourth orders. Certain fragment descriptors are also applied which give higher significance levels and standard deviations for the retention indices less by 18-25 units, than do correlation equations between the retention indices and the first-order bonding indices.

  12. Identification of performance indicators for nuclear power plants

    E-Print Network [OSTI]

    Sui, Yu, 1973-

    2001-01-01T23:59:59.000Z

    Performance indicators have been assuming an increasingly important role in the nuclear industry. An integrated methodology is proposed in this research for the identification and validation of performance indicators for ...

  13. Analysis of Spatial Performance of Meteorological Drought Indices

    E-Print Network [OSTI]

    Patil, Sandeep 1986-

    2013-01-14T23:59:59.000Z

    Meteorological drought indices are commonly calculated from climatic stations that have long-term historical data and then converted to a regular grid using spatial interpolation methods. The gridded drought indices are mapped to aid decision making...

  14. tude de la dimension collective de l'usage des systmes d'assistance la conduite automobile en situation relle : l'exemple du rgulateur

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 �tude de la dimension collective de l'usage des systèmes d'assistance à la conduite automobile en d'assistance à la conduite automobile très répandu dont la fonction est de conserver une allure. Mots clés : Système d'aide à la conduite automobile ; Ergonomie ; Régulateur de vitesse conventionnel

  15. Model of Procedure Usage – Results from a Qualitative Study to Inform Design of Computer-Based Procedures

    SciTech Connect (OSTI)

    Johanna H Oxstrand; Katya L Le Blanc

    2012-07-01T23:59:59.000Z

    The nuclear industry is constantly trying to find ways to decrease the human error rate, especially the human errors associated with procedure use. As a step toward the goal of improving procedure use performance, researchers, together with the nuclear industry, have been looking at replacing the current paper-based procedures with computer-based procedure systems. The concept of computer-based procedures is not new by any means; however most research has focused on procedures used in the main control room. Procedures reviewed in these efforts are mainly emergency operating procedures and normal operating procedures. Based on lessons learned for these previous efforts we are now exploring a more unknown application for computer based procedures - field procedures, i.e. procedures used by nuclear equipment operators and maintenance technicians. The Idaho National Laboratory, the Institute for Energy Technology, and participants from the U.S. commercial nuclear industry are collaborating in an applied research effort with the objective of developing requirements and specifications for a computer-based procedure system to be used by field operators. The goal is to identify the types of human errors that can be mitigated by using computer-based procedures and how to best design the computer-based procedures to do this. The underlying philosophy in the research effort is “Stop – Start – Continue”, i.e. what features from the use of paper-based procedures should we not incorporate (Stop), what should we keep (Continue), and what new features or work processes should be added (Start). One step in identifying the Stop – Start – Continue was to conduct a baseline study where affordances related to the current usage of paper-based procedures were identified. The purpose of the study was to develop a model of paper based procedure use which will help to identify desirable features for computer based procedure prototypes. Affordances such as note taking, markups, sharing procedures between fellow coworkers, the use of multiple procedures at once, etc. were considered. The model describes which affordances associated with paper based procedures should be transferred to computer-based procedures as well as what features should not be incorporated. The model also provides a means to identify what new features not present in paper based procedures need to be added to the computer-based procedures to further enhance performance. The next step is to use the requirements and specifications to develop concepts and prototypes of computer-based procedures. User tests and other data collection efforts will be conducted to ensure that the real issues with field procedures and their usage are being addressed and solved in the best manner possible. This paper describes the baseline study, the construction of the model of procedure use, and the requirements and specifications for computer-based procedures that were developed based on the model. It also addresses how the model and the insights gained from it were used to develop concepts and prototypes for computer based procedures.

  16. CERNA WORKING PAPER SERIES Assessing Indicators of Patent Quality

    E-Print Network [OSTI]

    1 CERNA WORKING PAPER SERIES Assessing Indicators of Patent Quality: Complex vs. Discrete-00488275,version1-1Jun2010 #12;2 Assessing Indicators of Patent Quality: Complex vs. Discrete Technologies indicators of patent quality in complex and discrete technologies using factor analysis and econometric

  17. Development of a Low-Carbon Indicator System for China

    E-Print Network [OSTI]

    Price, Lynn

    2012-01-01T23:59:59.000Z

    more efficient buildings/low energy buildings such as LEED-low carbon indicator value by indexing and weighting end-use indicators Residential includes buildings energylow carbon indicator for China’s commercial buildings sector is defined as commercial buildings final energy/

  18. Comparing systemic risk in European government bonds and national indices

    E-Print Network [OSTI]

    Jurczyk, Jan; Morgenstern, Ingo

    2015-01-01T23:59:59.000Z

    It has been shown, that the systemic risk contained in financial markets can be indicated by the change of cross-correlation between different indices and stocks. This change is tracked by using principle component analysis (PCA). We use this technique to investigate the systemic risk contained in European economy by comparing government long term bonds and indices.

  19. Robotics and Energy Usage

    E-Print Network [OSTI]

    Hershey, R. L.; Fenton, S. E.; Letzt, A. M.

    1983-01-01T23:59:59.000Z

    , robots will play an increasing role in the coming years. Science Management Corporation has been assisting the Electric Power Research Institute (EPRI) and the manufacturers in assessing the effects of robots and re lated technologies. For EPRI... Milacron 1,000 Copperweld 735 DeVilbiss 137 Asea 85 Advanced Robotics 48 Thermwood 24 Nordson 30 Cybotech 28 Reis 3 Others 210 TOTAL 6,000 SOURCE: SMC Robotics Survey, EPRI RP1967-4, 1982 Table 2 U.S. Robot Use Classified By Applicat ion...

  20. Robotics and Energy Usage 

    E-Print Network [OSTI]

    Hershey, R. L.; Fenton, S. E.; Letzt, A. M.

    1983-01-01T23:59:59.000Z

    in St. Louis (62 welding robots) and Franklin Manufacturing Company in St. Cloud, Minnesota (4 spray painting robots used in freezer manufacture), We also examined data on energy effects of robots from John Deere, caterpillar, and GM Guide Division...

  1. Usage Statistics By Group

    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 ScienceandMesa del SolStrengthening aTurbulence mayUndergraduateAbout Us Updatesproject0 NERSC

  2. Usage by Job Size

    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 ScienceandMesa del SolStrengthening aTurbulence mayUndergraduateAbout Us Updatesproject0 NERSCUsage by

  3. NERSC Usage Demographics 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1AllocationsNOVAPlayed Key Role inReportsHPCProxy3 NERSC

  4. NERSC Usage Demographics 2014

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1AllocationsNOVAPlayed Key Role inReportsHPCProxy3 NERSC4

  5. The Boston Indicators Project : the role of indicators in supporting environmental efforts in the Boston metropolitan region

    E-Print Network [OSTI]

    Wells, Anna K. (Anna Katherine)

    2006-01-01T23:59:59.000Z

    Community indicators projects are an increasingly popular way to measure, track, and, advocates claim, make progress. The commonly held belief is that indicators provide residents, governments, private entities, and community ...

  6. On the calculation of percentile-based bibliometric indicators

    E-Print Network [OSTI]

    Waltman, Ludo

    2012-01-01T23:59:59.000Z

    A percentile-based bibliometric indicator is an indicator that values publications based on their position within the citation distribution of their field. The most straightforward percentile-based indicator is the proportion of frequently cited publications, for instance the proportion of publications that belong to the top 10% most frequently cited of their field. Recently, more complex percentile-based indicators were proposed. A difficulty in the calculation of percentile-based indicators is caused by the discrete nature of citation distributions combined with the presence of many publications with the same number of citations. We introduce an approach to calculating percentile-based indicators that deals with this difficulty in a more satisfactory way than earlier approaches suggested in the literature. We show in a formal mathematical framework that our approach leads to indicators that do not suffer from biases in favor of or against particular fields of science.

  7. Institutional Indicators Of Quality: Annual Report 2002 INSTITUTIONAL INDICATORS OF QUALITY: ANNUAL REPORT 2002 SUMMARY AND COMMENT

    E-Print Network [OSTI]

    Farritor, Shane

    Institutional Indicators Of Quality: Annual Report 2002 INSTITUTIONAL INDICATORS OF QUALITY: ANNUAL the performance and progress of the University of Nebraska-Lincoln on a number of "quality indicators, the total again increased, by 18% to $52.7 million. These substantial increases in awards will be reflected

  8. A Study of Building Information Modeling Usage through the Perceived Utilization of Facilities Management Training, Building Information Modeling Technical Specifications, and a Quality Building Information Model for Facilities Management at Higher Educational Institutions in Texas

    E-Print Network [OSTI]

    Thompson, Darrell

    2014-12-15T23:59:59.000Z

    The research for this study investigated the correlation between the perceived usage of Building Information Modeling in Facilities Management and; the perceived training level of the FM personnel, the perceived specification requirement...

  9. Miniaturized Analytical Platforms From Nanoparticle Components: Studies in the Construction, Characterization, and High-Throughput Usage of These Novel Architectures

    SciTech Connect (OSTI)

    Andrew David Pris

    2003-08-05T23:59:59.000Z

    The scientific community has recently experienced an overall effort to reduce the physical size of many experimental components to the nanometer size range. This size is unique as the characteristics of this regime involve aspects of pure physics, biology, and chemistry. One extensively studied example of a nanometer sized experimental component, which acts as a junction between these three principle scientific theologies, is deoxyribonucleic acid (DNA) or ribonucleic acid (RNA). These biopolymers not only contain the biological genetic guide to code for the production of life-sustaining materials, but are also being probed by physicists as a means to create electrical circuits and furthermore as controllable architectural and sensor motifs in the chemical disciplines. Possibly the most common nano-sized component between these sciences are nanoparticles composed of a variety of materials. The cross discipline employment of nanoparticles is evident from the vast amount of literature that has been produced from each of the individual communities within the last decade. Along these cross-discipline lines, this dissertation examines the use of several different types of nanoparticles with a wide array of surface chemistries to understand their adsorption properties and to construct unique miniaturized analytical and immunoassay platforms. This introduction will act as a literature review to provide key information regarding the synthesis and surface chemistries of several types of nanoparticles. This material will set the stage for a discussion of assembling ordered arrays of nanoparticles into functional platforms, architectures, and sensors. The introduction will also include a short explanation of the atomic force microscope that is used throughout the thesis to characterize the nanoparticle-based structures. Following the Introduction, four research chapters are presented as separate manuscripts. Chapter 1 examines the self-assembly of polymeric nanoparticles exhibiting a variety of surface chemistries and attempts to deconvolute general adsorption rules for their assembly on various substrates. Chapter 2 extends the usage of self-assembly of polymeric nanoparticles through a layer-by-layer deposition concept and photolithography methodologies to create analytical platforms with a vertical height controlled within the nanometer regime. This platform is then furthered in Chapter 3 by employing this integrated concept as a bio-recognition platform, with the extension of the method to a high-throughput screening system explored. Chapter 4 exploits two different types of nanoparticles, silica and gold, as multiplexed, self-assembled immunoassay sensors. This final research chapter is followed by a general summation and future prospectus section that concludes the dissertation.

  10. Spectrophotometric indices and metal content of galactic globular clusters

    E-Print Network [OSTI]

    Covino, S; Pasinetti, L E; Covino, S; Galletti, S; Pasinetti, L E

    1995-01-01T23:59:59.000Z

    Spectrophotometric indices for 18 Galactic globular clusters, obtained from CCD observations and careful reductions, were used to determine reliable calibrations on metallicity [Fe/H]. The indices were measured in the bandpasses adopted by Burnstein et al. (\\cite{BFGK84}). Adding other observations of Burnstein et al. (\\cite{BFGK84}) we obtained our results from an homogeneous sample of indices for 26 globular clusters. Relations with indices defined by other Authors and with metallicity photometric indices or parameters were also computed. In each case the relations are quite satisfactory. Observational data were compared with synthetic indices derived from Buzzoni's (\\cite{B89}) models and detailed discussions were performed for Mg_2, Fe_{52}, and H_\\beta. The observational points seem to be systematically shifted with respect to the fiducial lines traced by the models. The scenario confirms that a certain degree of oxygen enhancement would be necessary to obtain a better agreement between observed data and...

  11. Development of graphical indices for building energy data

    E-Print Network [OSTI]

    Abbas, Mustafa

    1993-01-01T23:59:59.000Z

    54 55 55 55 . 57 . 59 . 60 Factors That Enhance Graphics. . 1. Distance. 2. Detection. 3. Juxtaposition. 4. Superposition. . 5. Juxtapaging, Indices Development 1. Box and Whisker Plots. 60 61 . 65 71 72 . 72 2. Juxtaposed Pre.... THE INDICES DEVELOPMENT. Indices Development 1. Box and Whisker Plots. 2. Juxtaposed Pre/Post Scatter and BWM Plots. . . . . . 3. 3-D Surface Plots. 4. Carpet Plots with Juxtaposed Histograms. . . . . 5. Coincident Cumulative Frequency Plots. . . . 6...

  12. Sustainability Indicators for Discrete Manufacturing Processes Applied to Grinding Technology

    E-Print Network [OSTI]

    Linke, Barbara S.; Corman, Gero J.; Dornfeld, David A.; Tönissen, Stefan

    2013-01-01T23:59:59.000Z

    sustainability indicators can be displayed as a performanceperformance profile and as a total sustainability indicatorindicator for the assessment of environmental performance.

  13. Eco-efficiency Indicators: Measuring Resource-use Efficiency...

    Open Energy Info (EERE)

    efficiency Indicators: Measuring Resource-use Efficiency and the Impact of Economic Activities on the Environment Jump to: navigation, search Tool Summary LAUNCH TOOL Name:...

  14. Sulfur Isotopes as Indicators of Amended Bacterial Sulfate Reduction...

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

    of Amended Bacterial Sulfate Reduction Processes Influencing Field Scale Uranium Bioremediation. Sulfur Isotopes as Indicators of Amended Bacterial Sulfate Reduction Processes...

  15. Sustainability Indicators for Discrete Manufacturing Processes Applied to Grinding Technology

    E-Print Network [OSTI]

    Linke, Barbara S.; Corman, Gero J.; Dornfeld, David A.; Tönissen, Stefan

    2013-01-01T23:59:59.000Z

    Environmental pillar of sustainability All energy generationsustainability indicators INTRODUCTION Manufacturing has a large impact on worldwide energywith the same energy, E A = E B = E 0 , both sustainability

  16. Forecasting potential project risks through leading indicators to project outcome

    E-Print Network [OSTI]

    Choi, Ji Won

    2007-09-17T23:59:59.000Z

    , the Construction Industry Institute (CII) formed a research team to develop a new tool that can forecast the potential risk of not meeting specific project outcomes based on assessing leading indicators. Thus, the leading indicators were identified and then the new...

  17. 10/25/2010 1 Eco-Region Protection Indicator

    E-Print Network [OSTI]

    Columbia University

    10/25/2010 1 Eco-Region Protection Indicator for the 2010 release of the Natural Resource Note: An error was detected in the protected area points layer for the 2010 version of the World Database of Protected Areas (WDPA) after processing the eco-region protection indicator, but too late

  18. Indices to detect Hopf bifurcation in Induction motor drives

    E-Print Network [OSTI]

    Krishnendu Chakrabarty; Urmila Kar

    2014-10-24T23:59:59.000Z

    The loss of stability of induction motor controlled by Indirect Field Oriented Control (IFOC) is a matter of great concern of operators and design engineers. This paper reports indices to detect and predict stability problem such as system oscillations. Oscillations as a result of loss of stability, due to Hopf bifurcation, for different parameter values of IFOC motor are studied using the proposed indices.

  19. Short Communication Three ocean state indices implemented in

    E-Print Network [OSTI]

    Ribes, Aurélien

    ), the tropical cyclone heat potential, showing the thermal energy available in the ocean to enhance or decreaseShort Communication Three ocean state indices implemented in the Mercator-Ocean operational suite L., and Soulat, F. 2008. Three ocean state indices implemented in the Mercator-Ocean operational suite. ­ ICES

  20. Environmental indicators of biofuel sustainability: What about context?

    SciTech Connect (OSTI)

    Efroymson, Rebecca Ann [ORNL; Dale, Virginia H [ORNL; Kline, Keith L [ORNL; McBride, Allen [ORNL; Bielicki, Jeffrey M [ORNL; Smith, Raymond [U.S. Environmental Protection Agency; Parish, Esther S [ORNL; Schweizer, Peter E [ORNL; Shaw, Denice [U.S. Environmental Protection Agency

    2013-01-01T23:59:59.000Z

    Indicators of the environmental sustainability of biofuel production, distribution, and use should be selected, measured, and interpreted with respect to the context in which they are used. These indicators include measures of soil quality, water quality and quantity, greenhouse-gas emissions, biodiversity, air quality, and vegetation productivity. Contextual considerations include the purpose for the sustainability analysis, the particular biofuel production and distribution system (including supply chain, management aspects, and system viability), policy conditions, stakeholder values, location, temporal influences, spatial scale, baselines, and reference scenarios. Recommendations presented in this paper include formulating the problem for particular analyses, selecting appropriate context-specific indicators of environmental sustainability, and developing indicators that can reflect multiple environmental properties at low cost within a defined context. In addition, contextual considerations such as technical objectives, varying values and perspectives of stakeholder groups, and availability and reliability of data need to be understood and considered. Sustainability indicators for biofuels are most useful if adequate historical data are available, information can be collected at appropriate spatial and temporal scales, organizations are committed to use indicator information in the decision-making process, and indicators can effectively guide behavior toward more sustainable practices.

  1. Environmental indicators for sustainable production of algal biofuels

    SciTech Connect (OSTI)

    Efroymson, Rebecca Ann [ORNL; Dale, Virginia H [ORNL

    2014-01-01T23:59:59.000Z

    For analyzing sustainability of algal biofuels, we identify 16 environmental indicators that fall into six categories: soil quality, water quality and quantity, air quality, greenhouse gas emissions, biodiversity, and productivity. Indicators are selected to be practical, widely applicable, predictable in response, anticipatory of future changes, independent of scale, and responsive to management. Major differences between algae and terrestrial plant feedstocks, as well as their supply chains for biofuel, are highlighted, for they influence the choice of appropriate sustainability indicators. Algae strain selection characteristics do not generally affect which indicators are selected. The use of water instead of soil as the growth medium for algae determines the higher priority of water- over soil-related indicators. The proposed set of environmental indicators provides an initial checklist for measures of biofuel sustainability but may need to be modified for particular contexts depending on data availability, goals of the stakeholders, and financial constraints. Use of these indicators entails defining sustainability goals and targets in relation to stakeholder values in a particular context and can lead to improved management practices.

  2. SPECTROPHOTOMETRIC INDICES AND METAL CONTENT OF GALACTIC GLOBULAR CLUSTERS

    E-Print Network [OSTI]

    S. Covino; S. Galletti; L. E. Pasinetti

    1995-03-06T23:59:59.000Z

    Spectrophotometric indices for $18$ Galactic globular clusters, obtained from CCD observations and careful reductions, were used to determine reliable calibrations on metallicity $[Fe/H]$. The indices were measured in the bandpasses adopted by Burnstein et al. (\\cite{BFGK84}). Adding other observations of Burnstein et al. (\\cite{BFGK84}) we obtained our results from an homogeneous sample of indices for $26$ globular clusters. Relations with indices defined by other Authors and with metallicity photometric indices or parameters were also computed. In each case the relations are quite satisfactory. Observational data were compared with synthetic indices derived from Buzzoni's (\\cite{B89}) models and detailed discussions were performed for $Mg_2$, $Fe_{52}$, and $H_\\beta$. The observational points seem to be systematically shifted with respect to the fiducial lines traced by the models. The scenario confirms that a certain degree of oxygen enhancement would be necessary to obtain a better agreement between observed data and theoretical predictions. This enhancement, however, removes some of the disagreement, but not all of it. The dependence of the observed $Fe_{52}$ and $H_\\beta$ indices on the metal content for different HB morphologies was considered. Finally, some results were also discussed from a statistical point of view. A principal component analysis was applied to the index sample to study the number of independent parameters necessary to reproduce the observations. The whole index set is completely consistent with a one-parameter family.

  3. Spectral indices in Eddington-inspired Born-Infeld inflation

    E-Print Network [OSTI]

    Inyong Cho; Jinn-Ouk Gong

    2015-06-23T23:59:59.000Z

    We investigate the scalar and the tensor spectral indices of the quadratic inflation model in Eddington-inspired Born-Infeld (EiBI) gravity. We find the EiBI corrections to the spectral indices are of second and first order in the slow-roll approximation for the scalar and the tensor perturbations respectively. This is very promising since the quadratic inflation model in general relativity provides a very nice fit for the spectral indices. Together with the suppression of the tensor-to-scalar ratio EiBI inflation is well along with the observational data.

  4. New Phase-coherent Measurements of Pulsar Braking Indices

    E-Print Network [OSTI]

    Margaret A. Livingstone; Victoria M. Kaspi; Fotis P. Gavriil; Richard N. Manchester; E. V. Gotthelf; Lucien Kuiper

    2007-02-07T23:59:59.000Z

    Pulsar braking indices offer insight into the physics that underlies pulsar spin-down. Only five braking indices have been measured via phase-coherent timing; all measured values are less than 3, the value expected from magnetic dipole radiation. Here we present new measurements for three of the five pulsar braking indices, obtained with phase-coherent timing for PSRs J1846-0258 (n=2.65+/-0.01), B1509-58 (n=2.839+/-0.001) and B0540-69 (n=2.140+/-0.009). We discuss the implications of these results and possible physical explanations for them.

  5. 4Q CY2004, Facility Representative Program Performance Indicators

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

    Program Performance Indicators Quarterly Report March 30, 2005 Distribution: Jeffrey Clay Sell, S-2 Bruce Carnes, S-2 Les Novitsky, S-2 Linton Brooks, NA-1 Jerry Paul, NA-2...

  6. Indicators that matter : measuring transportation performance in Ahmedabad

    E-Print Network [OSTI]

    Osborne, James Clark, M.C.P. Massachusetts Institute of Technology

    2012-01-01T23:59:59.000Z

    In light of the growing challenges of planning for transportation in India, this thesis proposes that a set of indicators, sensitive to local conditions, developed, implemented and managed through a collaborative partnership ...

  7. Descriptive Quality Indicators Rating Scale for Single-case Design 

    E-Print Network [OSTI]

    Boles, Margot

    2015-04-08T23:59:59.000Z

    This table presents a rating scale for descriptive quality indicators in single-case research. This table is adapted from CEC (2014), Horner et al. (2005), and Reichow (2008)...

  8. Descriptive Quality Indicators Rating Scale for Single-case Design

    E-Print Network [OSTI]

    Boles, Margot

    2015-04-08T23:59:59.000Z

    This table presents a rating scale for descriptive quality indicators in single-case research. This table is adapted from CEC (2014), Horner et al. (2005), and Reichow (2008)...

  9. Biological Cluster Validity Indices Based on the Gene Ontology

    E-Print Network [OSTI]

    Zell, Andreas

    Biological Cluster Validity Indices Based on the Gene Ontology Nora Speer, Christian Spieth 3646, pp. 429­439, 2005. c Springer-Verlag Berlin Heidelberg 2005 #12;430 N. Speer, C. Spieth, and A

  10. Type Ia Supernova Spectral Line Ratios as LuminosityIndicators

    SciTech Connect (OSTI)

    Bongard, Sebastien; Baron, E.; Smadja, G.; Branch, David; Hauschildt, Peter H.

    2005-12-07T23:59:59.000Z

    Type Ia supernovae have played a crucial role in thediscovery of the dark energy, via the measurement of their light curvesand the determination of the peak brightness via fitting templates to theobserved lightcurve shape. Two spectroscopic indicators are also known tobe well correlated with peak luminosity. Since the spectroscopicluminosity indicators are obtained directly from observed spectra, theywill have different systematic errors than do measurements usingphotometry. Additionally, these spectroscopic indicators may be usefulfor studies of effects of evolution or age of the SNe~;Ia progenitorpopulation. We present several new variants of such spectroscopicindicators which are easy to automate and which minimize the effects ofnoise. We show that these spectroscopic indicators can be measured byproposed JDEM missions such as snap and JEDI.

  11. The Relative Lyapunov Indicators: Theory and Application to Dynamical Astronomy

    E-Print Network [OSTI]

    Sándor, Zsolt

    2015-01-01T23:59:59.000Z

    A recently introduced chaos detection method, the Relative Lyapunov Indicator (RLI) is investigated in the cases of symplectic mappings and continuous Hamiltonian systems. It is shown that the RLI is an efficient numerical tool in determining the true nature of individual orbits, and in separating ordered and chaotic regions of the phase space of dynamical systems. A comparison between the RLI and some other variational indicators are presented, as well as the recent applications of the RLI to various problems of dynamical astronomy.

  12. New chaos indicators for systems with extremely small Lyapunov exponents

    E-Print Network [OSTI]

    Ken-ichi Okubo; Ken Umeno

    2015-03-18T23:59:59.000Z

    We propose new chaos indicators for systems with extremely small positive Lyapunov exponents. These chaos indicators can firstly detect a sharp transition between the Arnold diffusion regime and the Chirikov diffusion regime of the Froeschl\\'e map and secondly detect chaoticity in systems with zero Lyapunov exponent such as the Boole transformation and the $S$-unimodal function to characterize sub-exponential diffusions.

  13. Cielo Computational Environment Usage Model With Mappings to ACE Requirements for the General Availability User Environment Capabilities Release Version 1.1

    SciTech Connect (OSTI)

    Vigil,Benny Manuel [Los Alamos National Laboratory; Ballance, Robert [SNL; Haskell, Karen [SNL

    2012-08-09T23:59:59.000Z

    Cielo is a massively parallel supercomputer funded by the DOE/NNSA Advanced Simulation and Computing (ASC) program, and operated by the Alliance for Computing at Extreme Scale (ACES), a partnership between Los Alamos National Laboratory (LANL) and Sandia National Laboratories (SNL). The primary Cielo compute platform is physically located at Los Alamos National Laboratory. This Cielo Computational Environment Usage Model documents the capabilities and the environment to be provided for the Q1 FY12 Level 2 Cielo Capability Computing (CCC) Platform Production Readiness Milestone. This document describes specific capabilities, tools, and procedures to support both local and remote users. The model is focused on the needs of the ASC user working in the secure computing environments at Lawrence Livermore National Laboratory (LLNL), Los Alamos National Laboratory, or Sandia National Laboratories, but also addresses the needs of users working in the unclassified environment. The Cielo Computational Environment Usage Model maps the provided capabilities to the tri-Lab ASC Computing Environment (ACE) Version 8.0 requirements. The ACE requirements reflect the high performance computing requirements for the Production Readiness Milestone user environment capabilities of the ASC community. A description of ACE requirements met, and those requirements that are not met, are included in each section of this document. The Cielo Computing Environment, along with the ACE mappings, has been issued and reviewed throughout the tri-Lab community.

  14. Monthly Indices: A Procedure for Energy Use Display Creating Monthly Indices for Comparing the Energy Consumption of Buildings

    E-Print Network [OSTI]

    Landman, D. S.; Haberl, J. S.

    1996-01-01T23:59:59.000Z

    This technical paper describes the construction of comparative monthly energy and weather indices for buildings and their usefulness in simple comparisons across sites. These graphs show monthly electric and natural gas average power levels (i.e., W...

  15. Comparative study of variational chaos indicators and ODEs' numerical integrators

    E-Print Network [OSTI]

    Luciano A. Darriba; Nicolás P. Maffione; Pablo M. Cincotta; Claudia M. Giordano

    2012-05-08T23:59:59.000Z

    The reader can find in the literature a lot of different techniques to study the dynamics of a given system and also, many suitable numerical integrators to compute them. Notwithstanding the recent work of Maffione et al. (2011a) for mappings, a detailed comparison among the widespread indicators of chaos in a general system is still lacking. Such a comparison could lead to select the most efficient algorithms given a certain dynamical problem. Furthermore, in order to choose the appropriate numerical integrators to compute them, more comparative studies among numerical integrators are also needed. This work deals with both problems. We first extend the work of Maffione et al. (2011) for mappings to the 2D H\\'enon & Heiles (1964) potential, and compare several variational indicators of chaos: the Lyapunov Indicator (LI); the Mean Exponential Growth Factor of Nearby Orbits (MEGNO); the Smaller Alignment Index (SALI) and its generalized version, the Generalized Alignment Index (GALI); the Fast Lyapunov Indicator (FLI) and its variant, the Orthogonal Fast Lyapunov Indicator (OFLI); the Spectral Distance (D) and the Dynamical Spectras of Stretching Numbers (SSNs). We also include in the record the Relative Lyapunov Indicator (RLI), which is not a variational indicator as the others. Then, we test a numerical technique to integrate Ordinary Differential Equations (ODEs) based on the Taylor method implemented by Jorba & Zou (2005) (called taylor), and we compare its performance with other two well-known efficient integrators: the Prince & Dormand (1981) implementation of a Runge-Kutta of order 7-8 (DOPRI8) and a Bulirsch-St\\"oer implementation. These tests are run under two very different systems from the complexity of their equations point of view: a triaxial galactic potential model and a perturbed 3D quartic oscillator.

  16. Selecting environmental indicator for use in strategic environmental assessment

    SciTech Connect (OSTI)

    Donnelly, Alison [School of Natural Sciences, Trinity College Dublin, Dublin 2 (Ireland) and Environmental Protection Agency (Ireland)]. E-mail: Alison.Donnelly@tcd.ie; Jones, Mike [School of Natural Sciences, Trinity College Dublin, Dublin 2 (Ireland); O'Mahony, Tadhg [Environmental Protection Agency (Ireland); Byrne, Gerry [Environmental Protection Agency (Ireland)

    2007-03-15T23:59:59.000Z

    The primary aim of carrying out Strategic Environmental Assessment (SEA) is to provide for a high level of environmental protection and to integrate environmental considerations into the planning process. The SEA Directive (2001/42/EC) recommends monitoring to determine the environmental impact of the implementation of plans and programmes. Environmental indicators are a useful tool by which this impact may be measured. However, careful consideration must be given to developing a set of indicators in order to isolate, plan or programme specific impacts. Here, we demonstrate the effectiveness of a workshop-based approach to develop appropriate criteria for selecting environmental indicator for use in SEA. A multi-disciplinary team was used in the approach which consisted of representatives from each of four environmental fields i.e. biodiversity, water, air and climatic factors, together with SEA experts, planning experts, academics and consultants. The team reviewed various sets of criteria, already in existence, for environmental indicator development but not specifically for SEA indicators. The results of this review together with original criteria were applied to the final list agreed upon. Some of the criteria recommended includes, relevance to plan, ability to prioritise, and ability to identify conflict with other plan or SEA objectives.

  17. Performance indicators for 4th quarter CY 1993

    SciTech Connect (OSTI)

    Not Available

    1994-11-01T23:59:59.000Z

    The Department of Energy (DOE) has established a Department-wide Performance Indicator (PI) Program for trending and analysis of operational data as directed by DOE Order 5480.26. The PI Program was established to provide a means for monitoring the environment, safety, and health (ES&H) performance of the DOE at the Secretary and other management levels. This is the twelfth in a series of quarterly reports generated for the Department of Energy Idaho Operations Office (DOE-ID) by EG&G Idaho, Inc., to meet the requirements of the PI Program as directed by the DOE Standard (DOE-STD-1048-92). The report format and content adhere to the guidelines established in DOE Order 5480.26, Trending and Analysis of Operations Information Using Performance Indicators, and DOE-STD-1048-92, DOE Performance Indicators Guidance Document.

  18. Performance indicators for 2nd quarter CY 1994

    SciTech Connect (OSTI)

    Not Available

    1994-11-01T23:59:59.000Z

    The Department of Energy (DOE) has established a Department-wide Performance Indicator (PI) Program for trending and analysis of operational data as directed by DOE Order 5480.26. The PI Program was established to provide a means for monitoring the environment, safety, and health (ES&H) performance of the DOE at the Secretary and other management levels. This is the fourteenth in a series of quarterly reports generated for the Department of Energy Idaho Operations Office (DOE-ID) by EG&G Idaho, Inc., to meet the requirements of the PI Program as directed by the DOE Standard (DOE-STD-1048-92). The report format and content adhere to the guidelines established in DOE Order 5480.26, Trending and Analysis of Operations Information Using Performance Indicators, and DOE-STD-1048-92, DOE Performance Indicators Guidance Document.

  19. Social vulnerability indicators as a sustainable planning tool

    SciTech Connect (OSTI)

    Lee, Yung-Jaan, E-mail: yungjaanlee@gmail.com

    2014-01-15T23:59:59.000Z

    In the face of global warming and environmental change, the conventional strategy of resource centralization will not be able to cope with a future of increasingly extreme climate events and related disasters. It may even contribute to inter-regional disparities as a result of these events. To promote sustainable development, this study offers a case study of developmental planning in Chiayi, Taiwan and a review of the relevant literature to propose a framework of social vulnerability indicators at the township level. The proposed framework can not only be used to measure the social vulnerability of individual townships in Chiayi, but also be used to capture the spatial developmental of Chiayi. Seventeen social vulnerability indicators provide information in five dimensions. Owing to limited access to relevant data, the values of only 13 indicators were calculated. By simply summarizing indicators without using weightings and by using zero-mean normalization to standardize the indicators, this study calculates social vulnerability scores for each township. To make social vulnerability indicators more useful, this study performs an overlay analysis of social vulnerability and patterns of risk associated with national disasters. The social vulnerability analysis draws on secondary data for 2012 from Taiwan's National Geographic Information System. The second layer of analysis consists of the flood potential ratings of the Taiwan Water Resources Agency as an index of biophysical vulnerability. The third layer consists of township-level administrative boundaries. Analytical results reveal that four out of the 18 townships in Chiayi not only are vulnerable to large-scale flooding during serious flood events, but also have the highest degree of social vulnerability. Administrative boundaries, on which social vulnerability is based, do not correspond precisely to “cross-administrative boundaries,” which are characteristics of the natural environment. This study adopts an exploratory approach that provides Chiayi and other government agencies with a foundation for sustainable strategic planning for environmental change. The final section offers four suggestions concerning the implications of social vulnerability for local development planning. -- Highlights: • This study proposes a framework of social vulnerability indicators at the township level in Chiayi County, Taiwan. • Seventeen social vulnerability indicators are categorized into four dimensions. • This study performs a three-layer overlay analysis of social vulnerability and natural disaster risk patterns. • 4 out of the 18 townships not only have potential for large-scale flooding, but also high degree of social vulnerability. • This study provides a foundation for sustainable strategic planning to deal with environmental change. • Four suggestions are proposed regarding the implications of social vulnerability for local development planning.

  20. Admissibility condition and nontrivial indices on a noncommutative torus

    SciTech Connect (OSTI)

    Nagao, Keiichi [Theoretical Physics Laboratory, College of Education, Ibaraki University, Mito 310-8512 (Japan)

    2006-03-15T23:59:59.000Z

    We study the index of the Ginsparg-Wilson Dirac operator on a noncommutative torus numerically. To do this, we first formulate an admissibility condition which suppresses the fluctuation of gauge fields. Assuming this condition, we generate gauge configurations randomly, and find various configurations with nontrivial indices. We show one example of configurations with index 1 explicitly. This result provides the first evidence that nontrivial indices can be naturally defined on the noncommutative torus by utilizing the Ginsparg-Wilson relation and the admissibility condition.

  1. Integrating Social & Economic Indicators for Sustainable Rangeland Management

    E-Print Network [OSTI]

    Wyoming, University of

    for other extractable goods (forage, water) [6] feedback effects of harvesting bio-fuels (woody removal (2001 ­ ) 5 Criteria; 64 indicators (27 core): Biophysical criteria: I: Soil & water conservation (10 water, livestock forage, wildlife habitat, nutrient cycling. Understanding processes that affect

  2. ORIGINAL PAPER How well do sediment indicators record past climate?

    E-Print Network [OSTI]

    Hu, Feng Sheng

    , University of Illinois, 245 Natural History Building, 1301 W. Green St., Urbana, IL 61801, USA e-mail: fshu climatic change. However, paleoclimatic interpretations of sediment records are often complex because eachORIGINAL PAPER How well do sediment indicators record past climate? An evaluation using annually

  3. Kinetics of inactivation of indicator pathogens during thermophilic anaerobic digestion

    E-Print Network [OSTI]

    Kinetics of inactivation of indicator pathogens during thermophilic anaerobic digestion Sudeep C Thermophilic anaerobic digestion Pathogen inactivation Ascaris suum Helminth eggs Poliovirus Enteric viruses a b s t r a c t Thermophilic anaerobic sludge digestion is a promising process to divert waste

  4. 19 November 2007 Energy innovation and competitiveness indicators

    E-Print Network [OSTI]

    and learning processes centred on industrial products in companies and markets. The knowledge 1 World Energy Outlook 2006 (p77) 2 For comparisons the EU new ambitious energy policy assumes an extra cost of 801 Risø DTU 19 November 2007 Energy innovation and competitiveness indicators A contribution to Work

  5. Modeling Windows in Energy Plus with Simple Performance Indices

    E-Print Network [OSTI]

    indices (U-factor, Solar Heat Gain Coefficient, and Visible Transmittance) to model the energy impacts, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents, process, or service by its trade name, trademark, manufacturer, or otherwise, does not necessarily

  6. *indicates change BEFORE THE ENERGY RESOURCES CONSERVATION AND DEVELOPMENT

    E-Print Network [OSTI]

    FOR CERTIFICATION FOR THE Docket No. 05-AFC-03 SUN VALLEY ENERGY PROJECT PROOF OF SERVICE (Revised 2/11/13) SERVICE*indicates change BEFORE THE ENERGY RESOURCES CONSERVATION AND DEVELOPMENT COMMISSION OF THE STATE OF CALIFORNIA 1516 NINTH STREET, SACRAMENTO, CA 95814 1-800-822-6228 ­ WWW.ENERGY.CA.GOV APPLICATION

  7. Towards a more inclusive and precautionary indicator of global sustainability

    E-Print Network [OSTI]

    Pezzey, Jack

    an environmentally pessimistic, physical constraint on global warming. Our methodology extends the World Bank growth; technical progress #12;2 1. Introduction Are current levels of global human well1 Towards a more inclusive and precautionary indicator of global sustainability John C.V. Pezzeya

  8. Status of Institutional Criteria and Indicators THOMAS D. LUSTIG

    E-Print Network [OSTI]

    Wyoming, University of

    depend on the state and national tax policy which could provide economic incentives for resting the land Rangelands Roundtable is to identify indicators of sustainability based on social, economic, and ecological and water; social and economic factors; capacity of systems; health and diversity; and legal- economic

  9. *indicates change BEFORE THE ENERGY RESOURCES CONSERVATION AND DEVELOPMENT

    E-Print Network [OSTI]

    *indicates change BEFORE THE ENERGY RESOURCES CONSERVATION AND DEVELOPMENT COMMISSION OF THE STATE OF CALIFORNIA 1516 NINTH STREET, SACRAMENTO, CA 95814 1-800-822-6228 ­ WWW.ENERGY.CA.GOV APPLICATION New Albany, Ohio 43054 ross.metersky@bp.com APPLICANT'S CONSULTANTS URS Corporation Cynthia H. Fischer

  10. ORIGINAL ARTICLE Relationship between ecological indicators (Arcellacea), total

    E-Print Network [OSTI]

    Patterson, Timothy

    significantly impacted by current THg concentrations. Keywords Athabasca Á Oil sands Á Mercury Á Contamination Á bitumen to syn- thetic crude oil involves coking, coke combustion, and production of wastes and fly ashORIGINAL ARTICLE Relationship between ecological indicators (Arcellacea), total mercury

  11. Effect of turing pattern indicators on CIMA oscillators

    SciTech Connect (OSTI)

    Noszticzius, Z. [Univ. of Texas, Austin, TX (United States)]|[Technical Univ. of Budapest (Hungary); Qi Ouyang; McCormick, W.D.; Swinney, H.L. [Univ. of Texas, Austin, TX (United States)

    1992-07-23T23:59:59.000Z

    Past experiments on Turing patterns have all been conducted using the chlorite-iodide-malonic acid (CIMA) reaction with Thiodene from Prolabo as an indicator. In this work two other indicators have been examined and found to yield Turing patterns similar to those obtained with Thiodene: soluble starch and poly(vinyl alcohol) (PVA). The present work shows that Thiodene is not simply a soluble starch, as previously assumed, but is probably made by mixing about 7% starch with 93% molten urea. To determine whether the indicators might also effect the chemical kinetics, the effect of the indicators was examined in batch studies of two CIMA systems: the minimal CIMA system (chlorine dioxide-iodine-malonic acid) and the CIMA-Cl system (chlorine dioxide-iodomalonic acid-chloride). It was found that starch and poly(vinyl alcohol) affect the dynamics of the minimal CIMA oscillator but they have no effect on the CIMA-Cl system. On the other hand, in the same or even larger weight/volume concentration glucose and 2-propanol has no effect on the minimal CIMA system. These finding prove that starch and poly(vinyl alcohol) participate exclusively in triiodide complex-forming reactions: they react with an enzyme-like selectivity. Thiodene, however, has an effect on the CIMA-Cl reaction because of its urea content. 19 refs., 6 figs.

  12. Eco-innovation indicator workshop 29th September 2005 at

    E-Print Network [OSTI]

    in implementing the Environment Technology Action Plan, linked to the Lisbon agenda · Currently, the field of eco-innovation frames in eco-innovation development: the innovation chain or system; and environment technology with itsEco-innovation indicator workshop 29th September 2005 at European Environment Agency Conclusions

  13. 2008 Erik Hinterbichler DESIGNING A BETTER ENERGY CONSUMPTION INDICATOR

    E-Print Network [OSTI]

    Karahalios, Karrie G.

    in which HCI can contribute to energy conservation is in interfaces for residential energy consumption on the effects of energy consumption feedback in the home. From this analysis, we created a theoretical framework© 2008 Erik Hinterbichler #12;DESIGNING A BETTER ENERGY CONSUMPTION INDICATOR INTERFACE

  14. Discharge indices for water quality loads Richard M. Vogel

    E-Print Network [OSTI]

    Vogel, Richard M.

    : effective discharge, transport, sediment, constituents, rating curve, half-load Citation: Vogel, R. M., J. RDischarge indices for water quality loads Richard M. Vogel Department of Civil and Environmental load is ultimately the quantity of interest, we define a new index, the half-load discharge, which

  15. Aluminum Waste Reaction Indicators in a Municipal Solid Waste Landfill

    E-Print Network [OSTI]

    Aluminum Waste Reaction Indicators in a Municipal Solid Waste Landfill Timothy D. Stark, F.ASCE1 landfills may contain aluminum from residential and commercial solid waste, industrial waste, and aluminum American Society of Civil Engineers. CE Database subject headings: Solid wastes; Leaching; Aluminum

  16. 10/31/2011 1 Eco-Region Protection Indicator

    E-Print Network [OSTI]

    Columbia University

    10/31/2011 1 Eco-Region Protection Indicator for the 2011 release of the Natural Resource in the protected area points layer for the 2010 version of the World Database of Protected Areas (WDPA) after to a weighted average of 17% of biome area protected, which is based on a revised target established

  17. Using Key Performance Indicators to Manage Energy Costs

    E-Print Network [OSTI]

    Van Gorp, J. C.

    2005-01-01T23:59:59.000Z

    -effective to collect much more data than ever before, many energy managers find themselves drowning in the volume of data generated. Business information systems faced a similar challenge a decade ago, and it is now common practice to use Key Performance Indicators...

  18. An error indicator for semidiscrete schemes Daniele Marobin1

    E-Print Network [OSTI]

    Ceragioli, Francesca

    is the density, e is the internal energy, is the ratio of specific heats, and vx and vy are the x and y Refinement (AMR) codes for gas-dynamics, see for instance [1] for one of the most classic examples and [2 computations. 2 The entropy indicator We consider the hyperbolic system of conservation laws: ut + fx(u) + gy

  19. The Community Loss Index: A New Social Indicator

    E-Print Network [OSTI]

    Qiu, Weigang

    and an aggregator of individ- ual experiences. Building on the relationship between loss and stress, the index at is growing due to mounting demand for accountability, outcome measures, evidence-based research, and indicators that reveal what works. In response, researchers like Jochen Albrecht and Laxmi Ramasubramanian ð

  20. absorption line indices: Topics by E-print Network

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

    absorption line indices First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Dust Sensitivity of...

  1. DEVELOPMENT OF A CERAMIC TAMPER INDICATING SEAL: SRNL CONTRIBUTIONS

    SciTech Connect (OSTI)

    Krementz, D.; Brinkman, K.; Martinez-Rodriguez, M.; Mendez-Torres, A.; Weeks, G.

    2013-06-03T23:59:59.000Z

    Savannah River National Laboratory (SRNL) and Sandia National Laboratories (SNL) are collaborating on development of a Ceramic Seal, also sometimes designated the Intrinsically Tamper Indicating Ceramic Seal (ITICS), which is a tamper indicating seal for international safeguards applications. The Ceramic Seal is designed to be a replacement for metal loop seals that are currently used by the IAEA and other safeguards organizations. The Ceramic Seal has numerous features that enhance the security of the seal, including a frangible ceramic body, protective and tamper indicating coatings, an intrinsic unique identifier using Laser Surface Authentication, electronics incorporated into the seal that provide cryptographic seal authentication, and user-friendly seal wire capture. A second generation prototype of the seal is currently under development whose seal body is of Low Temperature Co-fired Ceramic (LTCC) construction. SRNL has developed the mechanical design of the seal in an iterative process incorporating comments from the SNL vulnerability review team. SRNL is developing fluorescent tamper indicating coatings, with recent development focusing on optimizing the durability of the coatings and working with a vendor to develop a method to apply coatings on a 3-D surface. SRNL performed a study on the effects of radiation on the electronics of the seal and possible radiation shielding techniques to minimize the effects. SRNL is also investigating implementation of Laser Surface Authentication (LSA) as a means of unique identification of each seal and the effects of the surface coatings on the LSA signature.

  2. Drug repositioning and indication discovery using description logics

    E-Print Network [OSTI]

    Croset, Samuel

    2014-10-07T23:59:59.000Z

    behind the repurposing. Understanding the logic backing the 21 findings is paramount in order to build successful predictive methods later on. 1.2.1 Sildenafil: repositioning from clinical side-effects The National Health Service (NHS) defines angina as a... breast cancer preventive properties. This drug is an example of smart and continuous development, expanding from one indication to another. The fundamental reasons behind the repositioning are grounded on early-stage experimental evidence and not due to a...

  3. On the performance of bitmap indices for high cardinality attributes

    SciTech Connect (OSTI)

    Wu, Kesheng; Otoo, Ekow; Shoshani, Arie

    2004-03-05T23:59:59.000Z

    It is well established that bitmap indices are efficient for read-only attributes with a small number of distinct values. For an attribute with a large number of distinct values, the size of the bitmap index can be very large. To over come this size problem, specialized compression schemes are used. Even though there is empirical evidence that some of these compression schemes work well, there has not been any systematic analysis of their effectiveness. In this paper, we analyze the time and space complexities of the two most efficient bitmap compression techniques known, the Byte-aligned Bitmap Code (BBC) and the Word-Aligned Hybrid (WAH) code, and study their performance on high cardinality attributes. Our analyses indicate that both compression schemes are optimal in time. The time and space required to operate on two compressed bitmaps are proportional to the total size of the two bitmaps. We demonstrate further that an in-place OR algorithm can operate on a large number of sparse bitmaps in time linear in their total size. Our analyses also show that the compressed indices are relatively small compared with commonly used indices such as B-trees. Given these facts, we conclude that bitmap index is efficient on attributes of low cardinalities as well as on those of high cardinalities. We also verify the analytical results with extensive tests, and identify an optimal way to combine different options to achieve the best performance. The test results confirm the linearity in the total size of the compressed bitmaps, and that WAH out performs BBC by about a factor of two.

  4. Leachability of salmonella and fecal pollution indicator bacteria through soil 

    E-Print Network [OSTI]

    Fehrmann, Robert Clinton

    1977-01-01T23:59:59.000Z

    of Department (Member) / /. ' Member) August 1977 74M3- ABSTRACT Leachability of Salmonella and Fecal Pollution Indicator Bacteria through Soil. (August 1977) Robert Clinton Fehrmann, B. S. , Texas AM University Chairman of Advisory Committee: Dr... microorganisms to be leached through soil, columns :ere filled with different soils and inoculs. ted with suspensions of fecal bacteria. Dif er ences in bacterial movement within a particular sni I, and bacterial movement between different types of soils...

  5. Performance indicators for 1st quarter CY 1993

    SciTech Connect (OSTI)

    Not Available

    1993-08-01T23:59:59.000Z

    The Department of Energy (DOE) has established a Department-wide Performance Indicator (PI) Program for trending and analysis of operational data as directed by DOE Order 5480.26. The PI Program was established to provide a means for monitoring the environment, safety, and health (ES&H) performance of the DOE at the Secretary and other management levels. This is the ninth in a series of quarterly reports generated for the Department of Energy Field Office, Idaho (DOE-ID) by EG&G Idaho, Inc. to meet the requirements of the PI Program as directed by the DOE Standard. DOE-STD-1048-92 identifies four general areas of PIs. They are: Personnel Safety, Operational Incidents, Environment and Management. These four areas have been subdivided into 26 performance indicators. Approximately 115 performance indicator control and distribution charts comprise the body of this report A brief summary of PIs contained in each of these general areas is provided in the following pages. The four EG&G facilities whose performance is charted herein are as follows: (1) The Advanced Test Reactor (ATR); (2) The Radioactive Waste Management Complex (RWMC); (3) The Waste Experimental Reduction Facility (WERF) and (4) The Test Reactor Area (TRA) Hot Cells.

  6. Percentile Ranks and the Integrated Impact Indicator (I3)

    E-Print Network [OSTI]

    Leydesdorff, Loet

    2011-01-01T23:59:59.000Z

    We tested Rousseau's (in press) recent proposal to define percentile classes in the case of the Integrated Impact Indicator (I3) so that the largest number in a set always belongs to the highest (100th) percentile rank class. In the case a set of nine uncited papers and one with citation, however, the uncited papers would all be placed in the 90th percentile rank. A lowly-cited document set would thus be advantaged when compared with a highly-cited one. Notwithstanding our reservations, we extended the program for computing I3 in Web-of-Science data (at http://www.leydesdorff.net/software/i3) with this option; the quantiles without a correction are now the default. As Rousseau mentions, excellence indicators (e.g., the top-10%) can be considered as special cases of I3: only two percentile rank classes are distinguished for the evaluation. Both excellence and impact indicators can be tested statistically using the z-test for independent proportions.

  7. Diagnostic indicators for integrated assessment models of climate policy

    SciTech Connect (OSTI)

    Kriegler, Elmar; Petermann, Nils; Krey, Volker; Schwanitz, Jana; Luderer, Gunnar; Ashina, Shuichi; Bosetti, Valentina; Eom, Jiyong; Kitous, Alban; Mejean, Aurelie; Paroussos, Leonidas; Sano, Fuminori; Turton, Hal; Wilson, Charlie; Van Vuuren, Detlef

    2015-01-01T23:59:59.000Z

    Integrated assessments of how climate policy interacts with energy-economic systems can be performed by a variety of models with different functional structures. This article proposes a diagnostic scheme that can be applied to a wide range of integrated assessment models to classify differences among models based on their carbon price responses. Model diagnostics can uncover patterns and provide insights into why, under a given scenario, certain types of models behave in observed ways. Such insights are informative since model behavior can have a significant impact on projections of climate change mitigation costs and other policy-relevant information. The authors propose diagnostic indicators to characterize model responses to carbon price signals and test these in a diagnostic study with 11 global models. Indicators describe the magnitude of emission abatement and the associated costs relative to a harmonized baseline, the relative changes in carbon intensity and energy intensity and the extent of transformation in the energy system. This study shows a correlation among indicators suggesting that models can be classified into groups based on common patterns of behavior in response to carbon pricing. Such a classification can help to more easily explain variations among policy-relevant model results.

  8. DOE performance indicators for 2nd quarter CY 1993

    SciTech Connect (OSTI)

    Not Available

    1993-11-01T23:59:59.000Z

    The Department of Energy (DOE) has established a Department-wide Performance Indicator (PI) Program for trending and analysis of operational data as directed by DOE Order 5480.26. The PI Program was established to provide a means for monitoring the environment, safety, and health (ES&H) performance of the DOE at the Secretary and other management levels. This is the tenth in a series of quarterly reports generated for the Department of Energy Idaho Operations Office (DOE-ID) by EG&G Idaho, Inc. to meet the requirements of the PI Program as directed by the DOE Standard (DOE-STD-1048-92). The information in this tenth quarterly report, while contributing to a historical database for supporting future trending analysis, does not at this time provide a sound basis for developing trend-related conclusions. In the future, it is expected that trending and analysis of operational data will enhance the safety culture in both DOE and contractor organizations by providing an early warning of deteriorating environment, safety, and health conditions. DOE-STD-1048-92 identifies four general areas of PIs. They are: Personnel Safety, Operational Incidents, Environment, and Management. These four areas have been subdivided into 26 performance indicators. Approximately 115 performance indicator control and distribution charts comprise the body of this report. A brief summary of PIs contained in each of these general areas is provided. The four EG&G facilities whose performance is charted herein are as follows: (1) The Advanced Test Reactor (ATR), (2) The Radioactive Waste Management Complex (RWMC), (3) The Waste Experimental Reduction Facility (WERF), and (4) The Test Reactor Area (TRA) Hot Cells.

  9. Use of Chemical Inventory Accuracy Measurements as Leading Indicators

    SciTech Connect (OSTI)

    Quigley, David; Freshwater, David; Alnajjar, Mikhail S.; Siegel, Dina; Kuntamukkula, Murty; Simmons, Fred

    2012-05-15T23:59:59.000Z

    Chemical safety and lifecycle management (CSLM) is a process that involves managing chemicals and chemical information from the moment someone begins to order a chemical and lasts through final disposition(1). Central to CSLM is tracking data associated with chemicals which, for the purposes of this paper, is termed the chemical inventory. Examples of data that could be tracked include chemical identity, location, quantity, date procured, container type, and physical state. The reason why so much data is tracked is that the chemical inventory supports many functions. These functions include emergency management, which depends upon the data to more effectively plan for, and respond to, chemical accidents; environmental management that uses inventory information to aid in the generation of various federally-mandated and other regulatory reports; and chemical management that uses the information to increase the efficiency and safety with which chemicals are stored and utilized. All of the benefits of having an inventory are predicated upon having an inventory that is reasonably accurate. Because of the importance of ensuring one's chemical inventory is accurate, many have become concerned about measuring inventory accuracy. But beyond providing a measure of confidence in information gleaned from the inventory, does the inventory accuracy measurement provide any additional function? The answer is 'Yes'. It provides valuable information that can be used as a leading indicator to gauge the health of a chemical management system. In this paper, we will discuss: (1) what properties make leading indicators effective, (2) how chemical inventories can be used as a leading indicator, (3) how chemical inventory accuracy can be measured, what levels of accuracies should realistically be expected in a healthy system, and (4) what a subpar inventory accuracy measurement portends.

  10. USE OF CHEMICAL INVENTORY ACCURACY MEASUREMENTS AS LEADING INDICATORS

    SciTech Connect (OSTI)

    Kuntamukkula, M.

    2011-02-10T23:59:59.000Z

    Chemical safety and lifecycle management (CSLM) is a process that involves managing chemicals and chemical information from the moment someone begins to order a chemical and lasts through final disposition(1). Central to CSLM is tracking data associated with chemicals which, for the purposes of this paper, is termed the chemical inventory. Examples of data that could be tracked include chemical identity, location, quantity, date procured, container type, and physical state. The reason why so much data is tracked is that the chemical inventory supports many functions. These functions include emergency management, which depends upon the data to more effectively plan for, and respond to, chemical accidents; environmental management that uses inventory information to aid in the generation of various federally-mandated and other regulatory reports; and chemical management that uses the information to increase the efficiency and safety with which chemicals are stored and utilized. All of the benefits of having an inventory are predicated upon having an inventory that is reasonably accurate. Because of the importance of ensuring one's chemical inventory is accurate, many have become concerned about measuring inventory accuracy. But beyond providing a measure of confidence in information gleaned from the inventory, does the inventory accuracy measurement provide any additional function? The answer is 'Yes'. It provides valuable information that can be used as a leading indicator to gauge the health of a chemical management system. In this paper, we will discuss: what properties make leading indicators effective, how chemical inventories can be used as a leading indicator, how chemical inventory accuracy can be measured, what levels of accuracies should realistically be expected in a healthy system, and what a subpar inventory accuracy measurement portends.

  11. Tamper-indicating device having a glass body

    DOE Patents [OSTI]

    Johnston, Roger G. (Los Alamos, NM); Garcia, Anthony R. E. (Espanola, NM)

    2003-04-29T23:59:59.000Z

    A tamper-indicating device is described. The device has a first glass body member and a second glass body member that are attached to each other through a hasp. The glass body members of the device can be tempered. The body members can be configured with hollow volumes into which powders, microparticles, liquids, gels, or combinations thereof are sealed. The choice, the amount, and the location of these materials can produce a visible, band pattern to provide each body member with a unique fingerprint identifier, which makes it extremely difficult to repair or replace once it is damaged in order to avoid tamper detection.

  12. Health studies indicate MTBE is safe gasoline additive

    SciTech Connect (OSTI)

    Anderson, E.V.

    1993-09-01T23:59:59.000Z

    Implementation of the oxygenated fuels program by EPA in 39 metropolitan areas, including Fairbanks and Anchorage, Alaska, in the winter of 1992, encountered some unexpected difficulties. Complaints of headaches, dizziness, nausea, and irritated eyes started in Fairbanks, jumped to Anchorage, and popped up in various locations in the lower 48 states. The suspected culprit behind these complaints was the main additive for oxygenation of gasoline is methyl tert-butyl ether (MTBE). A test program, hastily organized in response to these complaints, has indicated that MTBE is a safe gasoline additive. However, official certification of the safety of MTBE is still awaited.

  13. Optical-based smart structures for tamper-indicating applications

    SciTech Connect (OSTI)

    Sliva, P.; Anheier, N.C.; Simmons, K.L.; Undem, H.A.

    1996-11-01T23:59:59.000Z

    This report is a compilation of several related projects performed from 1991 through 1996 concerning the design, construction, and application of optical-based smart structure to tamper-indicating and sensing secure containers. Due to several influences, the projects were carried through to varying degrees of completion. Cancellation of the overall project at the client level motivated the authors to gather all of the technology and ideas about smart structures developed during these several projects, whether completed or just conceptualized, into one document. Although each section individually discusses a specific project, the overall document is written chronologically with each successive section showing how increased smart structure complexity was integrated into the container.

  14. Computer Simulations Indicate Calcium Carbonate Has a Dense Liquid Phase

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting theCommercialization andComputer Simulations Indicate Calcium Carbonate Has a

  15. Active fiber optic technologies used as tamper-indicating devices

    SciTech Connect (OSTI)

    Horton, P.R.V.; Waddoups, I.G.

    1995-11-01T23:59:59.000Z

    The Sandia National Laboratories (SNL) Safeguards and Seals Evaluation Program is evaluating new fiber optic active seal technologies for use at Department of Energy (DOE) facilities. The goal of the program is to investigate active seal technologies that can monitor secured containers storing special nuclear materials (SNM) within DOE vaults. Specifically investigated were active seal technologies that can be used as tamper-indicating devices to monitor secured containers within vaults while personnel remain outside the vault area. Such a system would allow minimal access into vaults while ensuring container content accountability. The purpose of this report is to discuss tamper-indicating devices that were evaluated for possible DOE use. While previous seal evaluations (Phase I and II) considered overall facility applications, this discussion focuses specifically on their use in vault storage situations. The report will highlight general background information, specifications and requirements, and test procedures. Also discussed are the systems available from four manufacturers: Interactive Technologies, Inc., Fiber SenSys, Inc., Inovonics, Inc., and Valve Security Systems.

  16. Tamper-indicating seals : practices, problems, and standards

    SciTech Connect (OSTI)

    Johnston, R. G. (Roger G.)

    2003-01-01T23:59:59.000Z

    Tamper-indicating seals have been used by customs officials for over 7,000 years. Today, seals are widely used to help counter theft, smuggling, sabotage, vandalism, terrorism, and espionage. Despite their antiquity and modern widespread use, however, there remains considerable confusion about seals, as well as a lot of misconceptions, wishful thinking, sloppy terminology, and poor practice. The absence of meaningful norms and standards, together with the surprisingly limited amount of research and development (R&D) in the field of tamper detection, has also hindered the effective use of seals. The Vulnerability Assessment Team (VAT) at Los Alamos National Laboratory has intensively studied tamper-indicating seals for the last 12 years. We have engaged in vulnerability assessments, R&D, consulting, and training for over two dozen United States government agencies and private companies, as well as for the International Atomic Energy Agency (IAEA) and Euratom. The VAT has also analyzed over 200 different types of seals in detail. This paper summarizes some of our conclusions, recommendations, and warnings regarding seals and tamper detection.

  17. Indicator system for a process plant control complex

    DOE Patents [OSTI]

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

    1993-01-01T23:59:59.000Z

    An advanced control room complex for a nuclear power plant, including a discrete indicator and alarm system (72) which is nuclear qualified for rapid response to changes in plant parameters and a component control system (64) which together provide a discrete monitoring and control capability at a panel (14-22, 26, 28) in the control room (10). A separate data processing system (70), which need not be nuclear qualified, provides integrated and overview information to the control room and to each panel, through CRTs (84) and a large, overhead integrated process status overview board (24). The discrete indicator and alarm system (72) and the data processing system (70) receive inputs from common plant sensors and validate the sensor outputs to arrive at a representative value of the parameter for use by the operator during both normal and accident conditions, thereby avoiding the need for him to assimilate data from each sensor individually. The integrated process status board (24) is at the apex of an information hierarchy that extends through four levels and provides access at each panel to the full display hierarchy. The control room panels are preferably of a modular construction, permitting the definition of inputs and outputs, the man machine interface, and the plant specific algorithms, to proceed in parallel with the fabrication of the panels, the installation of the equipment and the generic testing thereof.

  18. Indicator system for advanced nuclear plant control complex

    DOE Patents [OSTI]

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

    1993-01-01T23:59:59.000Z

    An advanced control room complex for a nuclear power plant, including a discrete indicator and alarm system (72) which is nuclear qualified for rapid response to changes in plant parameters and a component control system (64) which together provide a discrete monitoring and control capability at a panel (14-22, 26, 28) in the control room (10). A separate data processing system (70), which need not be nuclear qualified, provides integrated and overview information to the control room and to each panel, through CRTs (84) and a large, overhead integrated process status overview board (24). The discrete indicator and alarm system (72) and the data processing system (70) receive inputs from common plant sensors and validate the sensor outputs to arrive at a representative value of the parameter for use by the operator during both normal and accident conditions, thereby avoiding the need for him to assimilate data from each sensor individually. The integrated process status board (24) is at the apex of an information hierarchy that extends through four levels and provides access at each panel to the full display hierarchy. The control room panels are preferably of a modular construction, permitting the definition of inputs and outputs, the man machine interface, and the plant specific algorithms, to proceed in parallel with the fabrication of the panels, the installation of the equipment and the generic testing thereof.

  19. Development of Refrigerant Change Indicator and Dirty Air Filter Sensor

    SciTech Connect (OSTI)

    Mei, V.

    2003-06-24T23:59:59.000Z

    The most common problems affecting residential and light commercial heating, ventilation, and air-conditioning (HVAC) systems are slow refrigerant leaks and dirty air filters. Equipment users are usually not aware of a problem until most of the refrigerant has escaped or the air filter is clogged with dirt. While a dirty air filter can be detected with a technology based on the air pressure differential across the filter, such as a ''whistling'' indicator, it is not easy to incorporate this technology into existing HVAC diagnostic equipment. Oak Ridge National Laboratory is developing a low-cost, nonintrusive refrigerant charge indicator and dirty air filter detection sensor. The sensors, based on temperature measurements, will be inexpensive and easy to incorporate into existing heat pumps and air conditioners. The refrigerant charge indicator is based on the fact that when refrigerant starts to leak, the evaporator coil temperature starts to drop and the level of liquid subcooling drops. When the coil temperature or liquid subcooling drops below a preset reading, a signal, such as a yellow warning light, can be activated to warn the equipment user that the system is undercharged. A further drop of coil temperature or liquid subcooling below another preset reading would trigger a second warning signal, such as a red warning light, to warn the equipment user that the unit now detects a leak and immediate action should be taken. The warning light cannot be turned off until it is re-set by a refrigeration repairman. To detect clogged air filters, two additional temperature sensors can be applied, one each across the evaporator. When the air filter is accumulating buildup, the temperature differential across the evaporator will increase because of the reduced airflow. When the temperature differential reaches a pre-set reading, a signal will be sent to the equipment user that the air filter needs to be changed. A traditional refrigerant charge indicator requires intrusion into the system to measure the refrigerant high-side and low-side pressures. Once the pressures are known, based on the equipment's refrigerant charging chart? or in most cases, based on the technician's experience? the refrigerant charging status is determined. However, there is a catch: by the time a refrigeration technician is called, most of the refrigerant has already escaped into the atmosphere. The new technology provides a real-time warning so that when, say, 20% of the refrigerant has leaked, the equipment users will be warned, even though the equipment is still functioning properly at rated capacity. Temperature sensors are becoming very accurate and very low in cost, compared with pressure sensors. Using temperature sensors to detect refrigerant charge status is inherently nonintrusive, inexpensive, and accurate. With the addition of two temperature sensors for detecting dirty air filters, the capability of the diagnostic equipment is further enhanced with very little added cost. This report provides laboratory test data on the change of indoor coil refrigerant temperature and subcooling as a function of refrigerant charge for a 2-ton split heat pump system. The data can be used in designing the indicators for refrigerant loss and dirty air filter sensors.

  20. Indication on the process-dependence of the Sivers effect

    SciTech Connect (OSTI)

    Gamberg, Leonard Paul [Penn State U., JLAB; Kang, Zhongbo [LANL; Prokudin, Alexei [JLAB

    2013-06-01T23:59:59.000Z

    We analyze the spin asymmetry for single inclusive jet production in proton-proton collisions collected by AnDY experiment and the Sivers asymmetry data from semi-inclusive deep inelastic scattering experiments. In particular, we consider the role color gauge invariance plays in determining the process-dependence of the Sivers effect. We find that after carefully taking into account the initial-state and final-state interactions between the active parton and the remnant of the polarized hadron, the calculated jet spin asymmetry based on the Sivers functions extracted from HERMES and COMPASS experiments is consistent with the AnDY experimental data. This provides a first indication for the process-dependence of the Sivers effect in different processes. We also make predictions for both direct photon and Drell-Yan spin asymmetry, to further test the process-dependence of the Sivers effect in future experiments.

  1. Connectivity is a Poor Indicator of Fast Quantum Search

    E-Print Network [OSTI]

    David A. Meyer; Thomas G. Wong

    2015-02-21T23:59:59.000Z

    A randomly walking quantum particle evolving by Schr\\"odinger's equation searches on $d$-dimensional cubic lattices in $O(\\sqrt{N})$ time when $d \\ge 5$, and with progressively slower runtime as $d$ decreases. This suggests that graph connectivity (including vertex, edge, algebraic, and normalized algebraic connectivities) is an indicator of fast quantum search, a belief supported by fast quantum search on complete graphs, strongly regular graphs, and hypercubes, all of which are highly connected. In this paper, we show this intuition to be false by giving two examples of graphs for which the opposite holds true: one with low connectivity but fast search, and one with high connectivity but slow search. The second example is a novel two-stage quantum walk algorithm in which the walking rate must be adjusted to yield high search probability.

  2. Variability of Battery Wear in Light Duty Plug-In Electric Vehicles Subject to Ambient Temperature, Battery Size, and Consumer Usage: Preprint

    SciTech Connect (OSTI)

    Wood, E.; Neubauer, J.; Brooker, A. D.; Gonder, J.; Smith, K. A.

    2012-08-01T23:59:59.000Z

    Battery wear in plug-in electric vehicles (PEVs) is a complex function of ambient temperature, battery size, and disparate usage. Simulations capturing varying ambient temperature profiles, battery sizes, and driving patterns are of great value to battery and vehicle manufacturers. A predictive battery wear model developed by the National Renewable Energy Laboratory captures the effects of multiple cycling and storage conditions in a representative lithium chemistry. The sensitivity of battery wear rates to ambient conditions, maximum allowable depth-of-discharge, and vehicle miles travelled is explored for two midsize vehicles: a battery electric vehicle (BEV) with a nominal range of 75 mi (121 km) and a plug-in hybrid electric vehicle (PHEV) with a nominal charge-depleting range of 40 mi (64 km). Driving distance distributions represent the variability of vehicle use, both vehicle-to-vehicle and day-to-day. Battery wear over an 8-year period was dominated by ambient conditions for the BEV with capacity fade ranging from 19% to 32% while the PHEV was most sensitive to maximum allowable depth-of-discharge with capacity fade ranging from 16% to 24%. The BEV and PHEV were comparable in terms of petroleum displacement potential after 8 years of service, due to the BEV?s limited utility for accomplishing long trips.

  3. First Indication of Terrestrial Matter Effects on Solar Neutrino Oscillation

    E-Print Network [OSTI]

    A. Renshaw; K. Abe; Y. Hayato; K. Iyogi; J. Kameda; Y. Kishimoto; M. Miura; S. Moriyama; M. Nakahata; Y. Nakano; S. Nakayama; H. Sekiya; M. Shiozawa; Y. Suzuki; A. Takeda; Y. Takenaga; T. Tomura; K. Ueno; T. Yokozawa; R. A. Wendell; T. Irvine; T. Kajita; K. Kaneyuki; K. P. Lee; Y. Nishimura; K. Okumura; T. McLachlan; L. Labarga; S. Berkman; H. A. Tanaka; S. Tobayama; E. Kearns; J. L. Raaf; J. L. Stone; L. R. Sulak; M. Goldhabar; K. Bays; G. Carminati; W. R. Kropp; S. Mine; M. B. Smy; H. W. Sobel; K. S. Ganezer; J. Hill; W. E. Keig; N. Hong; J. Y. Kim; I. T. Lim; T. Akiri; A. Himmel; K. Scholberg; C. W. Walter; T. Wongjirad; T. Ishizuka; S. Tasaka; J. S. Jang; J. G. Learned; S. Matsuno; S. N. Smith; T. Hasegawa; T. Ishida; T. Ishii; T. Kobayashi; T. Nakadaira; K. Nakamura; Y. Oyama; K. Sakashita; T. Sekiguchi; T. Tsukamoto; A. T. Suzuki; Y. Takeuchi; C. Bronner; S. Hirota; K. Huang; K. Ieki; M. Ikeda; T. Kikawa; A. Minamino; T. Nakaya; K. Suzuki; S. Takahashi; Y. Fukuda; K. Choi; Y. Itow; G. Mitsuka; P. Mijakowski; J. Hignight; J. Imber; C. K. Jung; C. Yanagisawa; H. Ishino; A. Kibayashi; Y. Koshio; T. Mori; M. Sakuda; T. Yano; Y. Kuno; R. Tacik; S. B. Kim; H. Okazawa; Y. Choi; K. Nishijima; M. Koshiba; Y. Totsuka; M. Yokoyama; K. Martens; Ll. Marti; M. R. Vagins; J. F. Martin; P. de Perio; A. Konaka; M. J. Wilking; S. Chen; Y. Zhang; R. J. Wilkes

    2014-03-24T23:59:59.000Z

    We report an indication that the elastic scattering rate of solar $^8$B neutrinos with electrons in the Super-Kamiokande detector is larger when the neutrinos pass through the Earth during nighttime. We determine the day/night asymmetry, defined as the difference of the average day rate and average night rate divided by the average of those two rates, to be $(-3.2\\pm1.1(\\text{stat})\\pm0.5(\\text{syst}))\\%$, which deviates from zero by 2.7 $\\sigma$. Since the elastic scattering process is mostly sensitive to electron-flavored solar neutrinos, a non-zero day/night asymmetry implies that the flavor oscillations of solar neutrinos are affected by the presence of matter within the neutrinos' flight path. Super-Kamiokande's day/night asymmetry is consistent with neutrino oscillations for $4\\times10^{-5}$eV$^2\\leq\\Delta m^2_{21}\\leq7\\times10^{-5}$eV$^2$ and large mixing values of $\\theta_{12}$, at the $68\\%$ C.L.

  4. On interrelations of recurrences and connectivity trends between stock indices

    E-Print Network [OSTI]

    Goswami, B; Marwan, N; Kurths, J

    2012-01-01T23:59:59.000Z

    Financial data has been extensively studied for correlations using Pearson's cross-correlation coefficient {\\rho} as the point of departure. We employ an estimator based on recurrence plots --- the Correlation of Probability of Recurrence (CPR) --- to analyze connections between nine stock indices spread worldwide. We suggest a slight modification of the CPR approach in order to get more robust results. We examine trends in CPR for an approximately 19-month window moved along the time series and compare them to {\\rho}. Binning CPR into three levels of connectedness: strong, moderate and weak, we extract the trends in number of connections in each bin over time. We also look at the behavior of CPR during the Dot-Com bubble by shifting the time series to align their peaks. CPR mainly uncovers that the markets move in and out of periods of strong connectivity erratically, instead of moving monotonously towards increasing global connectivity. This is in contrast to {\\rho}, which gives a picture of ever increasing...

  5. On interrelations of recurrences and connectivity trends between stock indices

    E-Print Network [OSTI]

    B. Goswami; G. Ambika; N. Marwan; J. Kurths

    2011-03-27T23:59:59.000Z

    Financial data has been extensively studied for correlations using Pearson's cross-correlation coefficient {\\rho} as the point of departure. We employ an estimator based on recurrence plots --- the Correlation of Probability of Recurrence (CPR) --- to analyze connections between nine stock indices spread worldwide. We suggest a slight modification of the CPR approach in order to get more robust results. We examine trends in CPR for an approximately 19-month window moved along the time series and compare them to {\\rho}. Binning CPR into three levels of connectedness: strong, moderate and weak, we extract the trends in number of connections in each bin over time. We also look at the behavior of CPR during the Dot-Com bubble by shifting the time series to align their peaks. CPR mainly uncovers that the markets move in and out of periods of strong connectivity erratically, instead of moving monotonously towards increasing global connectivity. This is in contrast to {\\rho}, which gives a picture of ever increasing correlation. CPR also exhibits that time shifted markets have high connectivity around the Dot-Com bubble of 2000. We stress on the importance of significance testing in interpreting measures applied to field data. CPR is more robust to significance testing. It has the additional advantages of being robust to noise, and reliable for short time series lengths and low frequency of sampling. Further, it is more sensitive to changes than {\\rho} as it captures correlations between the essential dynamics of the underlying systems.

  6. Tamper indicating and sensing optical-based smart structures

    SciTech Connect (OSTI)

    Sliva, P.; Anheier, N.C.; Gordon, N.R.; Simmons, K.L.; Stahl, K.A.; Undem, H.A.

    1995-05-01T23:59:59.000Z

    This paper has presented an overview of the type of optical-based structures that can be designed and constructed. These smart structures are capable of responding to their environment. The examples given represent a modest sampling of the complexity that can be achieved in both design and practice. Tamper-indicating containers and smart, sensing windows demonstrate just a few of the applications. We have shown that optical-based smart structures can be made multifunctional with the sensing built in. The next generation smart structure will combine the sensing functionality of these optical-based smart structures with other sensors such as piezoelectrics and electro-rheological fluids to not only be able to respond to the environment, but to adapt to it as well. An example of functionality in this regime would be a piezosensor that senses pressure changes (e.g., shock waves), which then causes an electro-rheological fluid to change viscosity. A fiber sensor located in or near the electro-rheological fluid senses the stiffness change and sends a signal through a feedback loop back to the piezosensor for additional adjustments to the electro-rheological fluid.

  7. Indication of anomalous heat energy production in a reactor device

    E-Print Network [OSTI]

    Giuseppe Levi; Evelyn Foschi; Torbjörn Hartman; Bo Höistad; Roland Pettersson; Lars Tegnér; Hanno Essén

    2013-06-07T23:59:59.000Z

    An experimental investigation of possible anomalous heat production in a special type of reactor tube named E-Cat HT is carried out. The reactor tube is charged with a small amount of hydrogen loaded nickel powder plus some additives. The reaction is primarily initiated by heat from resistor coils inside the reactor tube. Measurement of the produced heat was performed with high-resolution thermal imaging cameras, recording data every second from the hot reactor tube. The measurements of electrical power input were performed with a large bandwidth three-phase power analyzer. Data were collected in two experimental runs lasting 96 and 116 hours, respectively. An anomalous heat production was indicated in both experiments. The 116-hour experiment also included a calibration of the experimental set-up without the active charge present in the E-Cat HT. In this case, no extra heat was generated beyond the expected heat from the electric input. Computed volumetric and gravimetric energy densities were found to be far above those of any known chemical source. Even by the most conservative assumptions as to the errors in the measurements, the result is still one order of magnitude greater than conventional energy sources.

  8. Indication of anomalous heat energy production in a reactor device

    E-Print Network [OSTI]

    Levi, Giuseppe; Hartman, Torbjörn; Höistad, Bo; Pettersson, Roland; Tegnér, Lars; Essén, Hanno

    2013-01-01T23:59:59.000Z

    An experimental investigation of possible anomalous heat production in a special type of reactor tube named E-Cat HT is carried out. The reactor tube is charged with a small amount of hydrogen loaded nickel powder plus some additives. The reaction is primarily initiated by heat from resistor coils inside the reactor tube. Measurement of the produced heat was performed with high-resolution thermal imaging cameras, recording data every second from the hot reactor tube. The measurements of electrical power input were performed with a large bandwidth three-phase power analyzer. Data were collected in two experimental runs lasting 96 and 116 hours, respectively. An anomalous heat production was indicated in both experiments. The 116-hour experiment also included a calibration of the experimental set-up without the active charge present in the E-Cat HT. In this case, no extra heat was generated beyond the expected heat from the electric input. Computed volumetric and gravimetric energy densities were found to be fa...

  9. Lyapunov indices with two nearby trajectories in a curved spacetime

    E-Print Network [OSTI]

    Xin Wu; Tian-Yi Huang; Hong Zhang

    2010-06-28T23:59:59.000Z

    We compare three methods for computing invariant Lyapunov exponents (LEs) in general relativity. They involve the geodesic deviation vector technique (M1), the two-nearby-orbits method with projection operations and with coordinate time as an independent variable (M2), and the two-nearby-orbits method without projection operations and with proper time as an independent variable (M3). An analysis indicates that M1 and M3 do not need any projection operation. In general, the values of LEs from the three methods are almost the same. As an advantage, M3 is simpler to use than M2. In addition, we propose to construct the invariant fast Lyapunov indictor (FLI) with two-nearby-trajectories and give its algorithm in order to quickly distinguish chaos from order. Taking a static axisymmetric spacetime as a physical model, we apply the invariant FLIs to explore the global dynamics of phase space of the system where regions of chaos and order are clearlyidentified.

  10. Lyapunov indices with two nearby trajectories in a curved spacetime

    SciTech Connect (OSTI)

    Wu, X. [Department of Physics, Nanchang University, Nanchang 330047 (China); Department of Astronomy, Nanjing University, Nanjing 210093 (China); Huang, T.-Y.; Zhang, H. [Department of Astronomy, Nanjing University, Nanjing 210093 (China)

    2006-10-15T23:59:59.000Z

    We compare three methods for computing invariant Lyapunov exponents (LEs) in general relativity. These methods involve the geodesic deviation vector technique (M1), the two-nearby-orbits method with projection operations and with coordinate time as the independant variable (M2), and the two-nearby-orbits method without projection operations and with proper time as the independent variable (M3). An analysis indicates that M1 and M3 do not need any projection operation. In general, the values of LEs from the three methods are almost the same. However, M2 fails for some specific cases. As a result, M3 is the most preferable to calculate LEs in most cases. In addition, we propose to construct the invariant fast Lyapunov indictor (FLI) with two-nearby-trajectories and give its algorithm in order to quickly distinguish chaos from order. Taking a static axisymmetric spacetime as a physical model, we apply different algorithms of the FLI to explore the global dynamics of phase space of the system where regions of chaos and order are clearly identified.

  11. Environmental Sustainability Paper Usage / Reduction

    E-Print Network [OSTI]

    ;carbon footprint and develop carbon reduction projects around IT and staff/student behaviour change is supported by the Environmental Sustainability Manager and is seen as a key link to the University's Carbon Management Programme (e.g. to produce a forecast of carbon reductions as required by the Carbon Trust

  12. usage_household2001.pdf

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

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

  13. Memory Usage Considerations on Edison

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

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

  14. Memory Usage Considerations on Franklin

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

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

  15. Memory Usage Considerations on Hopper

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

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

  16. HPSS Usage Examples at NERSC

    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) EnvironmentalGyroSolé(tm) Harmonic EngineHIV and evolution studiedHPSS

  17. Clearing Up Murky Waters: Clarifying the Relationship Between Indicator Organisms and Disease in Recreational Water Settings

    E-Print Network [OSTI]

    Yau, Vincent Ming-Dao

    2011-01-01T23:59:59.000Z

    CHAPTER 3: IMPROVING PERFORMANCE OF INDICATOR ORGANISMS 3.11.6.2 I MPROVING PERFORMANCE OF INDICATOR ORGANISMS 1.6.3 GCHAPTER 3: IMPROVING PERFORMANCE OF INDICATOR ORGANISMS 3.1

  18. Please indicate department: Chemistry Chemical Engineering College HUMAN RESOURCES/PAYROLL ACTION FORM

    E-Print Network [OSTI]

    Iglesia, Enrique

    Please indicate department: Chemistry Chemical Engineering College HUMAN RESOURCES/PAYROLL ACTION No If yes, please indicate: Concurrent Appointment : Yes No If yes, please indicate: ACTION Hire- new to UCB

  19. An Experiment with Depressurization Tests as Indicators of Radon Availability in Six New Jersey Houses

    E-Print Network [OSTI]

    Gadgil, A.J.

    2008-01-01T23:59:59.000Z

    as Indicators of Radon Availability in 6 New Jersey HousesAS INDICATORS OF RADON AVAILABILITY IN 6 NEW JERSEY HOUSESas Indicators of Radon Availability in 6 New Jersey Houses

  20. 2Q CY2011 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    "This memorandum summarizes the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period April through June 20 1 1. Data for these indicators were gathered...

  1. 2Q CY2009 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    "Attached is the Facility Representative (FR) Program Performance Indicators Quarterly  Report covering the period from April to June  2009. Data for these indicators are gathered by Field elements...

  2. 1Q CY2005 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from January to March 2005. Data for these indicators are gathered by Field elements...

  3. 2Q CY2008 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    Attached is the Facility Representative (FR) Program Performance Indicators QuarterlyReport covering the period from April to June 2008. Data for these indicators aregathered by Field elements...

  4. 2Q CY2003 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    Attached is the Facility Representative Program Performance Indicators (PIs) Quarterly Report Covering the Period from April to June  2003. Data for these indicators are gathered by Field elements...

  5. 3Q CY2011 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    This memorandum summarizes the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the Period July  through September 2011. Data for these indicators were gathered...

  6. 1Q CY2006 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from January  to March 2006. Data for these indicators are gathered by Field...

  7. 3Q CY2003 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    Attached is the Facility Representative Program Performance Indicators (PIs) Quarterly Report Covering the Period from July to September  2003. Data for these indicators are gathered by Field...

  8. 3Q CY2000 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    The Facility Representative Program Indicators (Pis) Quarterly Report attached, covering the period from July to September 2000. Data for these indicators are gathered by the Field elements...

  9. 4Q CY2007 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    "Attached is the Facility Representative (FR) Program Performance Indicators QuarterlyReport covering the period from October to December 2007. Data for these indicators aregathered by Field...

  10. 2Q CY2004 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report Covering the Period from April to June  2004. Data for these indicators are gathered by Field elements...

  11. 4Q CY2002 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    Attached is the Facility Representative Program Performance Indicators (Pis) Quarterly Report Covering the Period from October to December 2002. Data for these indicators are gathered by Field...

  12. 1Q CY2012 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    This memorandum summarizes the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from January through March 2012. Data for these indicators were...

  13. 3Q CY2001 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    The Facility Representive Program Performance Indicators (PIs) Quarterly Report is attached covering the period from July to September 2001. Data for these indicators are gathered by the Field...

  14. 3Q CY2004 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report Covering the Period from July to September  2004. Data for these indicators are gathered by Field...

  15. 3Q CY2009 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    Attached is the Facility Representative (FR) Program Performance Indicators Quarterly  Report covering the period from July to September 2009. Data for these indicators are gathered by Field...

  16. 4Q CY2006 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from October to December 2006. Data for these indicators are gathered by Field...

  17. 4Q CY2009 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    "Attached is the Facility Representative (FR) Program Performance Indicators Quarterly  Report covering the period from October to December 2009. Data for these indicators are gathered by Field...

  18. 3Q CY2002 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    The Facility Representive Program Performance Indicators (PIs) Quarterly Report is attached covering the period from July  to September  2002. Data for these indicators are gathered by the Field...

  19. 2Q CY2007 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from April to June 2007. Data for these indicators are gathered by field elements...

  20. 3Q CY2006 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from July to September 2006. Data for these indicators are gathered by Field...

  1. 1Q CY2001 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    The Facility Representive Program Performance Indicators (PIs) Quarterly Report is attached covering the period from January to March 2001. Data for these indicators are gathered by the Field...

  2. 4Q CY2011 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    "This memorandum summarizes the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from October through December 2011. Data for these indicators were...

  3. 1Q CY2002 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    The Facility Representive Program Performance Indicators (PIs) Quarterly Report is attached covering the period from January  to March  2002. Data for these indicators are gathered by the Field...

  4. 4Q CY2005 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from October to December 2005. Data for these indicators are gathered by Field...

  5. 4Q CY2004 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report Covering the Period from October to December  2004. Data for these indicators are gathered by Field...

  6. 3Q C&2008 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    "Attached is the Facility Representative (FR) Program Performance Indicators Quarterly  Report covering the period from July to September   2008. Data for these indicators aregathered by Field...

  7. 1Q CY2009 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    "Attached is the Facility Representative (FR) Program Performance Indicators Quarterly  Report covering the period from January to March 2009. Data for these indicators are gathered by Field...

  8. 2Q CY2005 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from April to June 2005. Data for these indicators are gathered by Field elements...

  9. 4Q CY2003 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    Attached is the Facility Representative Program Performance Indicators (PIs) Quarterly Report Covering the Period from October to December  2003. Data for these indicators are gathered by Field...

  10. 1Q CY2007 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from January to March 2007. Data for these indicators are gathered by Field elements...

  11. 1Q CY2011 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    This memorandum summarizes the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the Period January through March 2011. Data for these indicators were gathered...

  12. 4Q CY2001 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    The Facility Representive Program Performance Indicators (PIs) Quarterly Report is attached covering the period from October to December  2001. Data for these indicators are gathered by the Field...

  13. 4Q CY2008 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    "Attached is the Facility Representative (FR) Program Performance Indicators Quarterly  Report covering the period from October to December   2008. Data for these indicators are  gathered by Field...

  14. 2Q CY2006 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from April to June 2006. Data for these indicators are gathered by Field elements...

  15. 2Q CY2002 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    The Facility Representive Program Performance Indicators (PIs) Quarterly Report is attached covering the period from April  to June 2002. Data for these indicators are gathered by the Field...

  16. 2Q CY2012 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    "This memorandum summarizes the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from April through June 2012. Data for these indicators were...

  17. 3Q CY2007 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from July to September 2007. Data for these indicators are gathered by Field...

  18. 1Q CY2003 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    Attached is the Facility Representative Program Performance Indicators (PIs) Quarterly Report Covering the Period from January to March  2003. Data for these indicators are gathered by Field...

  19. 1Q CY2010 (PDF), Facility Representative Program Performance Indicators Quarterly Report

    Broader source: Energy.gov [DOE]

    "Attached is the Facility Representative (FR) Program Performance Indicators Quarterly  Report covering the period from January to March2010. Data for these indicators are gathered by Field...

  20. Sustainability Indicators for Discrete Manufacturing Processes Applied to Grinding Technology

    E-Print Network [OSTI]

    Linke, Barbara S.; Corman, Gero J.; Dornfeld, David A.; Tönissen, Stefan

    2013-01-01T23:59:59.000Z

    the data into three sustainability indicators for eachor into one total sustainability indicator. The weighting isAn overview of sustainability assessment methodologies,