National Library of Energy BETA

Sample records for vision resource type

  1. A survey of computer vision education and text resources BRUCE A. MAXWELL

    E-Print Network [OSTI]

    Maxwell, Bruce

    A survey of computer vision education and text resources BRUCE A. MAXWELL Department of Engineering: computer vision, image processing, education, textbook survey 1. Introduction Ten years ago computation-related courses is an attendant increase in new CV/IP educators. When an educator begins to plan

  2. vision

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r mReducing PADvehicles |

  3. Dominant Resource Fairness: Fair Allocation of Multiple Resource Types

    E-Print Network [OSTI]

    Fiat, Amos

    to the needs · Example: ­ Alice needs 4GB for MATLAB, Bob needs 2GB for watching "The Dictator" in HD;An example · The system resources: (CPU, memory) = (9 CPUs, 18GB) · Alice has MATLAB tasks

  4. Type C: Caldera Resource | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York: Energy ResourcesLake,Fallon |WestTyonek,C: Caldera

  5. COMMERCE 1E03 TUTORIAL: LIBRARY RESOURCES 1. TYPES OF BUSINESS RESOURCES

    E-Print Network [OSTI]

    Hitchcock, Adam P.

    1 COMMERCE 1E03 TUTORIAL: LIBRARY RESOURCES 1. TYPES OF BUSINESS RESOURCES Fill in the boxes (belowMaster Library home page, click the Articles/Databases tab · Type Business Source Complete and click GO · Click the two examples provided) with characteristics of each publication type. Newspapers (example) Popular

  6. CAH Technology Policy Abstract The College of Arts and Humanities uses a wide array of technological resources to uphold the vision and mission

    E-Print Network [OSTI]

    Wu, Shin-Tson

    CAH Technology Policy Abstract The College of Arts and Humanities uses a wide array of technological resources to uphold the vision and mission of the college and university. The guidelines presented here are intended to facilitate the use of technology resources while promoting consistency

  7. Animat Vision: Active Vision in

    E-Print Network [OSTI]

    Pratt, Vaughan

    Article 1 Animat Vision: Active Vision in Artificial Animals Demetri Terzopoulos, Tamer F. Rabie, animat vision prescribes artificial animals, or animats, situated in physics-based virtual worlds as au world. We describe an initial animat vision implementa- tion within lifelike artificial fishes

  8. Type B: Andesitic Volcanic Resource | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York: Energy ResourcesLake,Fallon |WestTyonek,

  9. Type F: Oceanic-ridge, Basaltic Resource | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York: Energy ResourcesLake,Fallon |WestTyonek,C:F:

  10. Type E: Extensional Tectonic, Fault-Controlled Resource | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin Film SolarTown(LECBP) | OpenTrackI Wind FarmInformation

  11. Type A: Magma-heated, Dry Steam Resource | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York: Energy ResourcesLake,Fallon |WestTyonek, Alaska:Type

  12. Computer Vision The goal of computer vision

    E-Print Network [OSTI]

    Kosecka, Jana

    disciplines Computer Vision Image Processing Machine Learning Artificial Intelligence Robotics Cognitive4/30/10 1 Computer Vision The goal of computer vision To bridge the gap between pixels we extract from an image? Metric 3D information Semantic information Vision as measurement device

  13. Mission & Vision

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete7 AssessmentBusiness andMission & Vision Mission

  14. Vision, Leadership and Commitment...

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann Jackson About1996HowFOAShowingFuel Efficiency &Report |Vehicles on the RoadViewVisionV

  15. Vision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsofProgram: Report1538-1950Department ofIntroduction of AfternoonMission » Vision

  16. Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid youOxygen Generation |Publications| BlandineResearchResources

  17. Chemicals Industry Vision

    SciTech Connect (OSTI)

    none,

    1996-12-01

    Chemical industry leaders articulated a long-term vision for the industry, its markets, and its technology in the groundbreaking 1996 document Technology Vision 2020 - The U.S. Chemical Industry. (PDF 310 KB).

  18. A Cultural Resources Survey for the Type V GG Liquid Waste Processing Facility in Washington County, Texas 

    E-Print Network [OSTI]

    Moore, William

    2015-07-31

    A Phase I cultural resources survey for a proposed type V GG liquid waste processing facility on a 7.73 acre site in south-central Washington County, Texas was performed by Brazos Valley Research Associates on December 28, 2011. The project area...

  19. Vision Plan

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0 -UsingHeat & Cool History Fusion Basics1.1

  20. BPA Vision

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAudits & Inspections Audits Generation Hydro Power Wind PowerPower4

  1. Our Vision

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you notHeatMaRIEdioxideUser Careers/ HumanOur MissionPrograms |Our

  2. VISION Model

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Financing ToolInternationalReport FY 2009,BiofuelsLet RemoteServiceDepartment of Energy

  3. strategic vision

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A Rstewardship3ARM4

  4. LANL Vision

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse Bergkamp Graduate student Subtask2 J.N. Shadid,1 Select Start DateLANLCode

  5. Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid youOxygen Generation |Publications| BlandineResearch

  6. Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100Nationalquestionnaires 0serial codes on loginResonant

  7. BLUE VIEW VISION INSIGHT! Good news--your vision plan

    E-Print Network [OSTI]

    Mease, Kenneth D.

    WELCOME TO BLUE VIEW VISION INSIGHT! Good news--your vision plan is flexible and easy to use, your discounts, and much more! Blue View VisionSM Insight University of California Student Health Insurance Plan (UC SHIP) 2014/15 Your Blue View Vision Insight network Blue View Vision Insight offers you

  8. BLUE VIEW VISION INSIGHT! Good news--your vision plan

    E-Print Network [OSTI]

    Barrett, Jeffrey A.

    WELCOME TO BLUE VIEW VISION INSIGHT! Good news--your vision plan is flexible and easy to use, your discounts, and much more! Blue View Vision InsightSM University of California Student Health Insurance Plan (UC SHIP) 2012/13 Your Blue View Vision Insight Network Blue View Vision Insight offers you

  9. BLUE VIEW VISION INSIGHT! Good news--your vision plan

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    WELCOME TO BLUE VIEW VISION INSIGHT! Good news--your vision plan is flexible and easy to use, your discounts, and much more! Blue View Vision InsightSM University of California Student Health Insurance Plan (UC SHIP) 2013/14 Your Blue View Vision Insight Network Blue View Vision Insight offers you

  10. Type D: Sedimentary-hosted, Volcanic-related Resource | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York: Energy ResourcesLake,Fallon |WestTyonek,C:

  11. Wind Vision: Impacts

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

    Wind Vision: Impacts Rich Tusing New West Technologies, LLC For EERE's Wind and Water Power Technologies Office July 15, 2015 2 | Wind and Water Power Technologies Office...

  12. HydroVision International

    Broader source: Energy.gov [DOE]

    The HydroVision International Conference and Exhibition offers attendees countless opportunities to network, share best practices, meet with product and service providers, and more.  Held over five...

  13. VISION Model: Description

    SciTech Connect (OSTI)

    2009-01-18

    Description of VISION model, which is used to estimate the impact of highway vehicle technologies and fuels on energy use and carbon emissions to 2050.

  14. 7 Management Plan 7.1 Vision for the Subbasin

    E-Print Network [OSTI]

    227 7 Management Plan 7.1 Vision for the Subbasin The vision of the Wenatchee subbasin plan, address problems, reach consensus and implement actions to improve coordinated natural resource management management plan using watershed specific information ultimately leading towards compliance with the federal

  15. Solar Vision | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing Capacity forSilicium deEnergyCompany Limited SPCSolarVision Jump to:

  16. Wind Vision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0Photos andSeminarsDesign » DesignMayPresentationVision

  17. ARM - Mission and Vision Statements

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory of rare Kaonforsupernovae2GatheringARMHistory andARMMission and Vision

  18. Wind Vision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann JacksonDepartment of EnergyResearchers at theAugustbenefits homeowners,is importantVision

  19. Institute for Mineral and Energy Resources

    E-Print Network [OSTI]

    Institute for Mineral and Energy Resources #12;IMER VISION IMER's vision is to enable the efficient and sustainable use and development of the world's mineral and energy resources for the benefit of society, discovery and extraction of mineral and energy resources, including petroleum and geothermal resources

  20. Causes and Visions of Conflict in Abkhazia

    E-Print Network [OSTI]

    Nodia, Ghia

    1997-01-01

    of California, Berkeley CAUSES AND VISIONS OF CONFLICT INsocrates.berkeley.edu/~bsp/ CAUSES AND VISIONS OF CONFLICTand the US Government. CAUSES AND VISIONS OF CONFLICT IN

  1. National Hydrogen Vision Meeting Proceedings

    Fuel Cell Technologies Publication and Product Library (EERE)

    This document provides presentations and summaries of the notes from the National Hydrogen Vision Meeting''s facilitated breakout sessions. The Vision Meeting, which took place November 15-16, 2001, k

  2. Connected Buildings Interoperability Vision Webinar

    Office of Energy Efficiency and Renewable Energy (EERE)

    Connected Buildings Interoperability Vision Webinar slides, by Kevin Lynn, U.S. Department of Energy, May 20, 2015.

  3. VISION REANIMATED Shimon Edelman

    E-Print Network [OSTI]

    Edelman, Shimon

    what is where by looking," (Marr, 1982, p.3). Attempts to specify, in unambiguous computational terms recognition is not peculiar to the present time: a similar attitude has been perceived in the field by Marr vision, stated in (Marr, 1982). Unpublished manuscript, 1995. The author's present address: Department

  4. 3D Computer Vision and Video Computing 3D Vision3D Vision

    E-Print Network [OSTI]

    Zhu, Zhigang

    and right projections of P, respectively. #12;6 3D Computer Vision and Video Computing A Simple Stereo length Optical Center Or pr(xr,yr) RIGHT CAMERA #12;7 3D Computer Vision and Video Computing Disparity vs = Baseline f = focal length Optical Center Or pr(xr,yr) RIGHT CAMERA 3D Computer Vision and Video Computing

  5. Accommodations for Vision Disabilities | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergy Webinar: DemonstrationProgram |toPhysical DisabilitiesVision

  6. Grid Modeling for the SunShot Vision Study

    SciTech Connect (OSTI)

    Brinkman, G.; Denholm, P.; Drury, E.; Ela, E.; Mai, T.; Margolis, R.; Mowers, M.

    2012-02-01

    This document describes the use of production cost modeling in the SunShot Vision study, including methods used to create the SunShot Vision scenarios, their implementation in the Gridview model, and assumptions regarding transmission system and operation of each generator type. It also describes challenges and limitations of modeling solar generation technologies in production cost models, and suggests methods for improving their representation in current models.

  7. "Individuals, families and groups in the population can be said to be in poverty when they lack resources to obtain the type of diet, participate in the

    E-Print Network [OSTI]

    Neri, Peter

    to be in poverty when they lack resources to obtain the type of diet, participate in the activities and have Poverty Bites: Food, health and poor families Unhealthy Lives: Intergenerational links between child poverty and poor health in the UK, http://www.endchildpoverty.org.uk/files/ECP%20Health%20Summary

  8. WINDExchange Webinar: The Wind Vision

    Broader source: Energy.gov [DOE]

    Join moderator Suzanne Tegen from the National Renewable Energy Laboratory for an introduction to the Wind Vision, a recent publication that assesses the potential economic, environmental, and...

  9. Vision North Texas 

    E-Print Network [OSTI]

    Walz, K.

    2011-01-01

    North Texas 2050 For a Future That?s Better Than Business As Usual CATEE 2011: Planning for Sustainability ESL-KT-11-11-18 CATEE 2011, Dallas, Texas, Nov. 7 ? 9, 2011 Three Topics ?The North Texas region ? past, present and future under... ?business as usual? ?Vision North Texas and the North Texas 2050 document ?Implications for energy conservation ESL-KT-11-11-18 CATEE 2011, Dallas, Texas, Nov. 7 ? 9, 2011 The North Texas Region ESL-KT-11-11-18 CATEE 2011, Dallas, Texas, Nov. 7 ? 9...

  10. 2020 Vision Project Summary

    SciTech Connect (OSTI)

    Gordon, K.W.; Scott, K.P.

    2000-11-01

    Since the 2020 Vision project began in 1996, students from participating schools have completed and submitted a variety of scenarios describing potential world and regional conditions in the year 2020 and their possible effect on US national security. This report summarizes the students' views and describes trends observed over the course of the 2020 Vision project's five years. It also highlights the main organizational features of the project. An analysis of thematic trends among the scenarios showed interesting shifts in students' thinking, particularly in their views of computer technology, US relations with China, and globalization. In 1996, most students perceived computer technology as highly beneficial to society, but as the year 2000 approached, this technology was viewed with fear and suspicion, even personified as a malicious, uncontrollable being. Yet, after New Year's passed with little disruption, students generally again perceived computer technology as beneficial. Also in 1996, students tended to see US relations with China as potentially positive, with economic interaction proving favorable to both countries. By 2000, this view had transformed into a perception of China emerging as the US' main rival and ''enemy'' in the global geopolitical realm. Regarding globalization, students in the first two years of the project tended to perceive world events as dependent on US action. However, by the end of the project, they saw the US as having little control over world events and therefore, we Americans would need to cooperate and compromise with other nations in order to maintain our own well-being.

  11. ITP Aluminum: Aluminum Industry Vision: Sustainable Solutions...

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

    Aluminum Industry Vision: Sustainable Solutions for a Dynamic World ITP Aluminum: Aluminum Industry Vision: Sustainable Solutions for a Dynamic World alumvision.pdf More Documents...

  12. Energy Vision International Florida | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, AlabamaETEC GmbH JumpEllenville, NewLtd EILEnergy DatadataCentreCoTrust of OregonVision

  13. Energy Visions Prize | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar2-0057-EA Jump to:of theClimateElgin,WindMap: Name: EnergyEnergy Visions Prize

  14. Vision on tap : an online computer vision toolkit

    E-Print Network [OSTI]

    Chiu, Kevin (Kevin Geeyoung)

    2011-01-01

    In this thesis, we present an online toolkit, based on a combination of a Scratch-based programming environment and computer vision libraries, manifested as blocks within the environment, integrated with a community platform ...

  15. Vision, reanimated and reimagined Shimon Edelman

    E-Print Network [OSTI]

    Edelman, Shimon

    of David Marr's Vision has delivered a singular boost and a course correction to the science of vision, engaging style, and unique voice of Marr's Vision. We find certain things about seeing puzzling, because we understanding of general principles of vision. The work of David Marr, whose entire graduate training

  16. COMUNICATO STAMPA Drone Vision Cup 2015

    E-Print Network [OSTI]

    Costagliola, Gennaro

    COMUNICATO STAMPA Drone Vision Cup 2015 I Proff. Mario Vento e Gennaro Percannella, docenti del), presentano la quinta edizione del contest di visione artificiale: la Drone Vision Cup 2015. Otto squadre di studenti del corso si sfideranno su un problema complesso di visione artificiale, utilizzando un drone

  17. Connected Buildings Interoperability Vision Webinar (Text Version)

    Office of Energy Efficiency and Renewable Energy (EERE)

    Below is the text version of the webinar Connected Buildings Interoperability Vision, presented in May 2015.

  18. Computer Vision in Fluid Mechanics

    E-Print Network [OSTI]

    Aminfar, AmirHessam

    2015-01-01

    layers," Journal of Fluid Mechanics, vol. 30, no. 04, pp.M. Princevac, "Fundamental fluid mechanics," 2014. C. W.Computer Vision in Fluid Mechanics A Thesis submitted in

  19. Computer Vision in Fluid Mechanics

    E-Print Network [OSTI]

    Aminfar, AmirHessam

    2015-01-01

    layers," Journal of Fluid Mechanics, vol. 30, no. 04, pp.Fundamental fluid mechanics," 2014. C. W. Enderlin, "MacroComputer Vision in Fluid Mechanics A Thesis submitted in

  20. Webinar: Connected Buildings Interoperability Vision

    Office of Energy Efficiency and Renewable Energy (EERE)

    The U.S. Department of Energy and Pacific Northwest National Laboratory (PNNL) will present a live webinar titled Connected Buildings Interoperability Vision on May 20 from 2 p.m. to 3 p.m. EDT....

  1. Laser and Vision Based Outdoor Object Mapping Bertrand Douillard

    E-Print Network [OSTI]

    Washington at SeattleUniversity of

    Laser and Vision Based Outdoor Object Mapping Bertrand Douillard ARC Centre of Excellence (CRF) to jointly classify laser returns in a 2D scan map into seven object types (car, wall, tree trunk triangulation of the laser map. Our model incorporates laser shape features, visual appearance features

  2. Golden Vision: 50 years of the University of Kansas East Asian Collection

    E-Print Network [OSTI]

    Doll, Vickie

    2007-10-01

    stream_size 1760 stream_content_type text/plain stream_name Doll_Golden Vision.pdf.txt stream_source_info Doll_Golden Vision.pdf.txt Content-Encoding UTF-8 Content-Type text/plain; charset=UTF-8 Vickie Fu Doll Chinese... and Korean Studies Librarian International Area Studies University of Kansas Libraries vdoll@ku.edu · http://guides.lib.ku.edu/profile/vdoll Doll, V. (2007). Golden Vision: 50 Years of the University of Kansas East Asian Collection. In Over a Hundred...

  3. A Binocular, Foveated Active Vision System

    E-Print Network [OSTI]

    Scassellati, Brian

    1998-03-01

    This report documents the design and implementation of a binocular, foveated active vision system as part of the Cog project at the MIT Artificial Intelligence Laboratory. The active vision system features a three degree ...

  4. Dreams and Visions in Medieval Literature 

    E-Print Network [OSTI]

    Dunai, Amber

    2015-04-29

    This study illuminates the connection between the conventions of medieval mystical texts and the English dream vision genre. It diverges from the majority of dream vision studies by addressing the entire range of English ...

  5. ITP Chemicals: Vision 2020 Technology Roadmap for Combinatroial...

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

    Vision 2020 Technology Roadmap for Combinatroial Methods; September 2001 ITP Chemicals: Vision 2020 Technology Roadmap for Combinatroial Methods; September 2001...

  6. Quality Control by Artificial Vision

    SciTech Connect (OSTI)

    Lam, Edmond Y. [University of Hong Kong, The; Gleason, Shaun Scott [ORNL; Niel, Kurt S. [Upper Austria University of Applied Science, Engineering and Environmental Studies

    2010-01-01

    Computational technology has fundamentally changed many aspects of our lives. One clear evidence is the development of artificial-vision systems, which have effectively automated many manual tasks ranging from quality inspection to quantitative assessment. In many cases, these machine-vision systems are even preferred over manual ones due to their repeatability and high precision. Such advantages come from significant research efforts in advancing sensor technology, illumination, computational hardware, and image-processing algorithms. Similar to the Special Section on Quality Control by Artificial Vision published two years ago in Volume 17, Issue 3 of the Journal of Electronic Imaging, the present one invited papers relevant to fundamental technology improvements to foster quality control by artificial vision, and fine-tuned the technology for specific applications. We aim to balance both theoretical and applied work pertinent to this special section theme. Consequently, we have seven high-quality papers resulting from the stringent peer-reviewing process in place at the Journal of Electronic Imaging. Some of the papers contain extended treatment of the authors work presented at the SPIE Image Processing: Machine Vision Applications conference and the International Conference on Quality Control by Artificial Vision. On the broad application side, Liu et al. propose an unsupervised texture image segmentation scheme. Using a multilayer data condensation spectral clustering algorithm together with wavelet transform, they demonstrate the effectiveness of their approach on both texture and synthetic aperture radar images. A problem related to image segmentation is image extraction. For this, O'Leary et al. investigate the theory of polynomial moments and show how these moments can be compared to classical filters. They also show how to use the discrete polynomial-basis functions for the extraction of 3-D embossed digits, demonstrating superiority over Fourier-basis functions for this task. Image registration is another important task for machine vision. Bingham and Arrowood investigate the implementation and results in applying Fourier phase matching for projection registration, with a particular focus on nondestructive testing using computed tomography. Readers interested in enriching their arsenal of image-processing algorithms for machine-vision tasks should find these papers enriching. Meanwhile, we have four papers dealing with more specific machine-vision tasks. The first one, Yahiaoui et al., is quantitative in nature, using machine vision for real-time passenger counting. Occulsion is a common problem in counting objects and people, and they circumvent this issue with a dense stereovision system, achieving 97 to 99% accuracy in their tests. On the other hand, the second paper by Oswald-Tranta et al. focuses on thermographic crack detection. An infrared camera is used to detect inhomogeneities, which may indicate surface cracks. They describe the various steps in developing fully automated testing equipment aimed at a high throughput. Another paper describing an inspection system is Molleda et al., which handles flatness inspection of rolled products. They employ optical-laser triangulation and 3-D surface reconstruction for this task, showing how these can be achieved in real time. Last but not least, Presles et al. propose a way to monitor the particle-size distribution of batch crystallization processes. This is achieved through a new in situ imaging probe and image-analysis methods. While it is unlikely any reader may be working on these four specific problems at the same time, we are confident that readers will find these papers inspiring and potentially helpful to their own machine-vision system developments.

  7. Photogrammetry & Machine Vision 1. Image sensors

    E-Print Network [OSTI]

    Giger, Christine

    Photogrammetry & Machine Vision 1. Image sensors (a) Fundamentals of image sensors (b) CCD image. Remondino, N. D'Apuzzo Photogrammetry and Machine Vision ­ 1. Measurement in images (b) Camera calibration of Photogrammetry and Machine Vision Fully understand: 1. Image based 3D and 4D measurement 2. Image based 3D

  8. Photogrammetry & Machine Vision 1. Image sensors

    E-Print Network [OSTI]

    Giger, Christine

    Photogrammetry & Machine Vision 1. Image sensors (a) Fundamentals of image sensors (b) CCD image'Apuzzo Photogrammetry and Machine Vision - 3 Point cloud processing, surface generation, texturing (b) Camera, noise) 2N. D'Apuzzo Photogrammetry and Machine Vision - 3 Point cloud processing, surface generation

  9. Computational theories of vision Andrew Glennerster

    E-Print Network [OSTI]

    Glennerster, Andrew

    , there were two important attempts to provide a theoretical framework for understanding vision, by David Marr. Instead, the focus is on attempts to describe vision at the level Marr called `computational theory'. 2 Marr Marr (1982) emphasised that vision was nothing more than an information-processing task. Any

  10. Dental and Vision Premier Advantage

    E-Print Network [OSTI]

    Leistikow, Bruce N.

    Dental and Vision Premier Advantage Employee Plan Information FLEXIBLE DENTAL PLANS to meet your changes may only be requested by the employee or the employer on behalf of the employee. Benefits. See our online directory at www.premierlife.com for participating providers in our DHMO Network

  11. Saunders College Vision 2011 2012

    E-Print Network [OSTI]

    Salvaggio, Carl

    and innovation by focusing on technology invention, new product commercialization and entrepreneurship. CombiningSaunders College Vision 2011 ­ 2012 Case and Plan for #12;Fall 2011 Page 1 Business Innovation analyses and create a business plan, and 3) determine how to market their product. Overview An awesome

  12. Vision Office Products

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0 -UsingHeat & Cool History Fusion Basics1.1 The

  13. Vision Office Products

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0 -UsingHeat & Cool History Fusion Basics1.1 The2

  14. Mission, Vision, Values

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you notHeatMaRIEdioxide capture |GE Puts DesalinationMissionMission,

  15. Vision Office Products

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricN A CountyFeet) Cooley Policies GARR (Italy)GARR1

  16. New Vision front

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested Parties -DepartmentAvailable for PublicDepartment ofNewNew TribalDepartment

  17. Mission Vision Values

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete7 AssessmentBusiness andMission &Contracting

  18. ORISE: Mission and Vision

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesseworkSURVEY UNIVERSE TheForensic ScienceHow toMentor TrainingMessage

  19. An Integrated, Modular Framework for Computer Vision and Cognitive Robotics

    E-Print Network [OSTI]

    Förster, Alexander

    on perception has been an active component of developing artificial vision (or computer vision) systemsAn Integrated, Modular Framework for Computer Vision and Cognitive Robotics Research (icVision) J an easy-to-use, modular framework for performing computer vision related tasks in support of cognitive

  20. Vision and action* Cornelia Fermiill er and Yiannis Aloimonos

    E-Print Network [OSTI]

    Daume III, Hal

    for synthesizing an artificial vision system by studying vision competences of increasing complexity andVision and action* Cornelia Fermiill er and Yiannis Aloimonos Our work on active vision has by the idea of approaching vision for behavioural systems in the form of modules that are directly related

  1. Industrial Combustion Vision: A Vision by and for the Industrial Combustion Community

    SciTech Connect (OSTI)

    none,

    1998-05-01

    The Industrial Combustion Vision is the result of a collaborative effort by manufacturers and users of burners, boilers, furnaces, and other process heating equipment. The vision sets bold targets for tomorrow's combustion systems.

  2. VisionGL: Towards an API for Integrating Vision and Graphics Gregor Miller and Sidney Fels

    E-Print Network [OSTI]

    British Columbia, University of

    VisionGL: Towards an API for Integrating Vision and Graphics Gregor Miller and Sidney Fels Human) and per- formance/appearance capture. Recently we introduced OpenVL [Miller and Fels 2013], an abstraction

  3. A New Vision for United States Hydropower

    Office of Energy Efficiency and Renewable Energy (EERE)

    Water Power Program is looking toward the future of the hydropower industry by initiating the development of a long-range National Hydropower Vision.

  4. Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities

    E-Print Network [OSTI]

    Buyya, Rajkumar; Venugopal, Srikumar

    2008-01-01

    This keynote paper: presents a 21st century vision of computing; identifies various computing paradigms promising to deliver the vision of computing utilities; defines Cloud computing and provides the architecture for creating market-oriented Clouds by leveraging technologies such as VMs; provides thoughts on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain SLA-oriented resource allocation; presents some representative Cloud platforms especially those developed in industries along with our current work towards realising market-oriented resource allocation of Clouds by leveraging the 3rd generation Aneka enterprise Grid technology; reveals our early thoughts on interconnecting Clouds for dynamically creating an atmospheric computing environment along with pointers to future community research; and concludes with the need for convergence of competing IT paradigms for delivering our 21st century vision.

  5. Computer resources Computer resources

    E-Print Network [OSTI]

    Yang, Zong-Liang

    Computer resources 1 Computer resources available to the LEAD group Cédric David 30 September 2009 #12;Ouline · UT computer resources and services · JSG computer resources and services · LEAD computers· LEAD computers 2 #12;UT Austin services UT EID and Password 3 https://utdirect.utexas.edu #12;UT Austin

  6. VISION 21 SYSTEMS ANALYSIS METHODOLOGIES

    SciTech Connect (OSTI)

    G.S. Samuelsen; A. Rao; F. Robson; B. Washom

    2003-08-11

    Under the sponsorship of the U.S. Department of Energy/National Energy Technology Laboratory, a multi-disciplinary team led by the Advanced Power and Energy Program of the University of California at Irvine is defining the system engineering issues associated with the integration of key components and subsystems into power plant systems that meet performance and emission goals of the Vision 21 program. The study efforts have narrowed down the myriad of fuel processing, power generation, and emission control technologies to selected scenarios that identify those combinations having the potential to achieve the Vision 21 program goals of high efficiency and minimized environmental impact while using fossil fuels. The technology levels considered are based on projected technical and manufacturing advances being made in industry and on advances identified in current and future government supported research. Included in these advanced systems are solid oxide fuel cells and advanced cycle gas turbines. The results of this investigation will serve as a guide for the U. S. Department of Energy in identifying the research areas and technologies that warrant further support.

  7. Marr's vision: 25 years on Andrew Glennerster

    E-Print Network [OSTI]

    Glennerster, Andrew

    Marr's vision: 25 years on Andrew Glennerster It is 25 years since the posthumous publication of David Marr's book on Vision [1]. Only 35 years old when he died, Marr had already dramatically that "Even if no single one of Marr's detailed hypotheses ultimately survives...[his] lifework will have been

  8. Technology Vision 2020 - The U.S. Chemical Industry

    SciTech Connect (OSTI)

    1996-12-01

    The body of this report outlines the current state of the industry, a vision for tomorrow, and the technical advances needed to make this vision a reality.

  9. Interactive learning and prediction algorithms for computer vision applications

    E-Print Network [OSTI]

    Branson, Steven

    2012-01-01

    questions to 2. In the right image, computer vision providesquestions to 2. In the right image, computer vision providesthe image on the right). The computer system intelligently

  10. 2015 Vision Study presentation at Peer Review | Timothy Reinhardt...

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

    Vision Study presentation at Peer Review | Timothy Reinhardt 2015 Vision Study presentation at Peer Review | Timothy Reinhardt The Geothermal Technologies Annual Peer Review,...

  11. ITP Petroleum Refining: Petroleum Technology Vision 2020 | Department...

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

    Petroleum Technology Vision 2020 ITP Petroleum Refining: Petroleum Technology Vision 2020 techvision.pdf More Documents & Publications Manufacturing Energy and Carbon Footprint...

  12. Petroleum Reserves Vision, Mission and Goals | Department of...

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

    Petroleum Reserves Vision, Mission and Goals Petroleum Reserves Vision, Mission and Goals The mission of the Office of Petroleum Reserves is to protect the United States from...

  13. Individuals, families and groups in the population can be said to be in poverty when they lack the resources to obtain the types of diet, participate in activities and have

    E-Print Network [OSTI]

    Neri, Peter

    be said to be in poverty when they lack the resources to obtain the types of diet, participate and approved, in the societies in which they belong. The Spirit Level #12;5 et al The Child Poverty Act (2010) Child Poverty Strategy for Scotland (2011a), early intervention and prevention an assets

  14. Sensor Data Aggregation for Resource Inventory Applications

    E-Print Network [OSTI]

    Huang, Polly

    aggregation. We focus on optimizing the energy efficiency for the resource inventory problems. By resource security to consumer electronics in the future. Sharing the vision and emphasizing the energy efficiency on limited battery power. That makes energy efficiency a major design challenge for sensor networks. From

  15. Paducah Site End State Vision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy AEnergyPresidential PermitDAYS - WE NEED A CHANGE OFNovember 2015State Vision

  16. Low Carbon Society Vision 2050: India | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar2-0057-EAInvervarLeeds,Asia-Pacific Developing Countries | OpenJobsVision

  17. SunShot Vision Study | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Financing ToolInternational Affairs, Before the CommitteeYearsCompetition RulesSunShot Vision Study

  18. Vision 2020: Lighting Technology Roadmap | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin FilmUnitedVairexVertVillage ofVirginia/WindVirtusVision 2020:

  19. DOE Research and Development Accomplishments: Visions of Success I

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal GasAdministration Medal01Technical Information--ScientificDatabaseXML ServiceVisions

  20. DOE Wind Vision Community | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePower VenturesInformation9) Wind FarmEnergy InformationWind Vision

  1. The SunShot Vision Study | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsofProgram: Report15 MeetingDevelopmentDepartmentof EnergyThe SunShot Vision

  2. Sandia National Laboratories: Sandia's Vision, Mission, and Values

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque AlbuquerqueCybernetics:Defense Systems &Vision, Mission, and

  3. Guest Editorial Guest editorial: Special issue on computer vision beyond

    E-Print Network [OSTI]

    Workshop in Computer Vision Beyond the Visible Spectrum, held in Kauai, Hawaii, on December 14, 2001

  4. FPGA-Based Video Processing for a Vision Prosthesis

    E-Print Network [OSTI]

    Diessel, Oliver

    at the University of New South Wales, as part of Bionic Vision Australia, is developing an artificial visionFPGA-Based Video Processing for a Vision Prosthesis Benjamin Kwek1 , Freddie Sunarso1 , Melissa and Engineering, University of New South Wales, Australia 2 Australian Vision Prosthesis Group, University of New

  5. 3D Computer Vision and Video Computing Introduction

    E-Print Network [OSTI]

    Zhu, Zhigang

    /Analysis/Interpretation Interpretation is an Artificial Intelligence Problem Sources of Knowledge in Vision Levels of Abstraction3D Computer Vision and Video Computing Introduction Instructor: Zhigang Zhu City College of New York zzhu@ccny.cuny.edu CSc I6716 Fall 2010 3D Computer Vision Introduction #12;3D Computer Vision

  6. An integrated vision for environmental monitoring and the role of

    E-Print Network [OSTI]

    Jesus, Sérgio M.

    monitoring #12;The integrated vision (2) Petrobras and the "pre-sal" technological challenge reservoir

  7. Vision Statement for Plant Physiology Comparative Plant Genomics. Frontiers and Prospects

    E-Print Network [OSTI]

    Purugganan, Michael D.

    Vision Statement for Plant Physiology Comparative Plant Genomics. Frontiers and Prospects Ana L function and evolution at various levels of biological organiza- tion. The availability of whole-genome sequences as well as other genomic resources (e.g. microarray meth- ods, expressed sequence tag [EST

  8. British Machine Vision Association, Applied Vision Association, and Society for Pattern Recognition Image Features & Statistics Symposium 2005

    E-Print Network [OSTI]

    Rajashekar, Umesh

    properties are of particular interest due to their applicability to biologically motivated artificial visionBritish Machine Vision Association, Applied Vision Association, and Society for Pattern Recognition on a given input image. This has applications for machine vision, auto-foveated video compression

  9. Vehicle egomotion estimation using computer vision

    E-Print Network [OSTI]

    Panish, Robert Martin

    2008-01-01

    A vision based navigation alter is developed for application on UAVs and tested in simulation. This alter is meant to allow the UAV to navigate in GPS-denied environments using measurements from a suite of cameras. The ...

  10. Aural imaging from 3D vision

    E-Print Network [OSTI]

    Vicenti, Jasper Fourways

    2006-01-01

    Dense stereo maps have many useful applications in computer vision. They can help in performing such tasks as background separation, segmentation, and object recognition. Despite the continued exponential advances in the ...

  11. WINDExchange Webinar: The DOE Wind Vision

    Broader source: Energy.gov [DOE]

    DOE's WINDExchange initiative will host a webinar presenting the Wind Program's Wind Vision, an effort to update and expand the 2008 DOE 20% Wind Energy by 2030 report. Given the huge changes...

  12. Overview of the DOE Wind Vision Roadmap

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

    Wind Exchange Webinar July 15, 2015 Overview of the DOE Wind Vision Roadmap Ed DeMeo Renewable Energy Consulting Services, Inc. Why a Roadmap? * Continued wind expansion requires...

  13. Wind Program: Wind Vision | Department of Energy

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

    Wind Vision: A New Era for Wind Power in the United States With more than 4.5% of the nation's electricity supplied by wind energy today, the Department of Energy has collaborated...

  14. An Integrated Hydrogen Vision for California

    E-Print Network [OSTI]

    Lipman, Tim; Kammen, Daniel; Ogden, Joan; Sperling, Dan

    2004-01-01

    Vision for California Gasifier 24,000 kg/day Medium $of Water Biomass Battelle Gasifier $0.95-1.60/kg ($6.69-Pyrolysis Battelle/FERCO Gasifier Battelle/FERCO Gasifier

  15. ReVision: Automated Classification, Analysis and Redesign of Chart Images

    E-Print Network [OSTI]

    Heer, Jeffrey

    to identify the chart type (e.g., pie chart, bar chart, scatterplot, etc.). It then extracts the graphical from 79% of bar charts and 62% of pie charts, and from these charts it successfully extracts the data from 71% of bar charts and 64% of pie charts. ReVision then applies perceptually-based design

  16. COHERENT LASER VISION SYSTEM (CLVS) OPTION PHASE

    SciTech Connect (OSTI)

    Robert Clark

    1999-11-18

    The purpose of this research project was to develop a prototype fiber-optic based Coherent Laser Vision System (CLVS) suitable for DOE's EM Robotic program. The system provides three-dimensional (3D) vision for monitoring situations in which it is necessary to update the dimensional spatial data on the order of once per second. The system has total immunity to ambient lighting conditions.

  17. Optics-less smart sensors and a possible mechanism of cutaneous vision in nature

    E-Print Network [OSTI]

    Leonid Yaroslavsky; Chad Goerzen; Stanislav Umansky; H. John Caulfield

    2008-08-08

    Optics-less cutaneous (skin) vision is not rare among living organisms, though its mechanisms and capabilities have not been thoroughly investigated. This paper demonstrates, using methods from statistical parameter estimation theory and numerical simulations, that an array of bare sensors with a natural cosine-law angular sensitivity arranged on a flat or curved surface has the ability to perform imaging tasks without any optics at all. The working principle of this type of optics-less sensor and the model developed here for determining sensor performance may be used to shed light upon possible mechanisms and capabilities of cutaneous vision in nature.

  18. Warner College of Natural Resources 2005-2010 Strategic Plan

    E-Print Network [OSTI]

    Warner College of Natural Resources 2005-2010 Strategic Plan Executive Summary #12;WARNER COLLEGE OF NATURAL RESOURCES 2005-2010 STRATEGIC PLAN Executive Summary Our Vision To be the global leader in addressing natural resource/environmental issues. Our strategic plan builds around the relationships depicted

  19. VISION: Verifiable Fuel Cycle Simulation Model

    SciTech Connect (OSTI)

    Jacob J. Jacobson; Abdellatif M. Yacout; Gretchen E. Matthern; Steven J. Piet; David E. Shropshire

    2009-04-01

    The nuclear fuel cycle is a very complex system that includes considerable dynamic complexity as well as detail complexity. In the nuclear power realm, there are experts and considerable research and development in nuclear fuel development, separations technology, reactor physics and waste management. What is lacking is an overall understanding of the entire nuclear fuel cycle and how the deployment of new fuel cycle technologies affects the overall performance of the fuel cycle. The Advanced Fuel Cycle Initiative’s systems analysis group is developing a dynamic simulation model, VISION, to capture the relationships, timing and delays in and among the fuel cycle components to help develop an understanding of how the overall fuel cycle works and can transition as technologies are changed. This paper is an overview of the philosophy and development strategy behind VISION. The paper includes some descriptions of the model and some examples of how to use VISION.

  20. Retiree Dental, Vision, Legal, Insurance

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) byMultiday ProductionDesigningResources Thomas Jefferson

  1. Strategic Mission, Vision and Goals of the College of Architecture,

    E-Print Network [OSTI]

    Stuart, Steven J.

    Strategic Mission, Vision and Goals of the College of Architecture, Arts and Humanities VISION, the College of Architecture, Arts and Humanities will achieve national distinction for its ethos of creativity

  2. DOE Announces New Wind Vision Initiative at AWEA WINDPOWER Conference...

    Office of Environmental Management (EM)

    Announces New Wind Vision Initiative at AWEA WINDPOWER Conference DOE Announces New Wind Vision Initiative at AWEA WINDPOWER Conference August 1, 2013 - 2:40pm Addthis This is an...

  3. The Web Services Vision Definition of Web Services

    E-Print Network [OSTI]

    Cheverst, Keith

    1 The Web Services Vision Overview Definition of Web Services Key concepts Difference from traditional web model Context Service-oriented architecture Distributed computing Overview Microsoft .NET vision Web Services Difference from traditional web model Context Service-oriented architecture

  4. Brain Derived Vision Algorithm on High Performance Architectures

    E-Print Network [OSTI]

    2009-01-01

    Granger, R. : Novel brain-derived algorithms scale linearly37:345–369 17. Brain derived vision on IBM CELL: http://10.1007/s10766-009-0106-9 Brain Derived Vision Algorithm on

  5. Vision Industries dba Vision Motor Corp | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,Village of Wellington,FL LLC Jump to: navigation, search

  6. Wind Vision Chapter 1: Introduction to the Wind Vision

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematics And Statistics » USAJobs SearchAMERICA'S FUTURE.ProjectsLeaders |3 0 0 N S T R EDepartment1 2 1

  7. Wind Vision Chapter 3: Impacts of the Wind Vision

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematics And Statistics » USAJobs SearchAMERICA'S FUTURE.ProjectsLeaders |3 0 0 N S T R EDepartment1 2 123

  8. Security engineering for embedded systems the SecFutur vision

    E-Print Network [OSTI]

    Security engineering for embedded systems ­ the SecFutur vision [Vision Paper] Sigrid Gürgens in the development of embedded systems. However, strongly interconnected em- bedded systems play vital roles in many for embedded systems is a discipline that currently attracts more interest. This paper presents the vision

  9. Technology Vision 2020 – The U.S. Chemical Industry

    SciTech Connect (OSTI)

    none,

    1996-12-01

    Technology Vision 2020 is a call to action, innovation, and change for the U.S. chemical industry. The body of this report outlines the current state of the industry, a vision for tomorrow, and the technical advances needed to make this vision a reality.

  10. Pedestrian Detectability: Predicting Human Perception Performance with Machine Vision

    E-Print Network [OSTI]

    to accomplish a better prediction of possible risks. Nonetheless, the utility of artificial vision systems canPedestrian Detectability: Predicting Human Perception Performance with Machine Vision David Engel vision we propose a method we deem useful for the optimization of Human-Machine-Interfaces in driver

  11. Modeling Living Systems for Computer Vision Demetri Terzopoulos

    E-Print Network [OSTI]

    Terzopoulos, Demetri

    , for computer vision. First, I present a new breed of artificial animals in a physics­based virtual marine world vision. 1 These advances center around the idea of artificial animals, or ``animats'' a term coined and 3 present our work on artificial fishes and animat vision. The basic idea in a nutshell

  12. Vision Multi-picture Challenge A Multi-picture

    E-Print Network [OSTI]

    Sloman, Aaron

    Vision Multi-picture Challenge A Multi-picture Challenge for Theories of Vision Aaron Sloman School for Vision Slide 1 Last revised: June 11, 2013 #12;The Problem · Human researchers have only very recently (especially in artificial experimental situations) may be incapable of being extended to explain the rest

  13. 3D Computer Vision and Video Computing IntroductionIntroduction

    E-Print Network [OSTI]

    Zhu, Zhigang

    /Analysis/Interpretation Interpretation is an Artificial Intelligence Problem Sources of Knowledge in Vision Levels of Abstraction1 3D Computer Vision and Video Computing IntroductionIntroduction CSc I6716 Spring 2012 3D Computer Vision Introduction Instructor: Zhigang Zhu City College of New York zzhu@ccny.cuny.edu 3D Computer

  14. Cognitive Vision for Autonomous Satellite Rendezvous and Docking

    E-Print Network [OSTI]

    Terzopoulos, Demetri

    with the challenge of effec- tively combining low-level vision with artificial intelli- gence. Some of the earliestCognitive Vision for Autonomous Satellite Rendezvous and Docking Faisal Z. Qureshi and Demetri MDRobotics Limited, Brampton, ON L6S 4J3, Canada Abstract We present a cognitively-controlled vision system

  15. 3D Computer Vision and Video Computing IntroductionIntroduction

    E-Print Network [OSTI]

    Zhu, Zhigang

    /Analysis/Interpretation Interpretation is an Artificial Intelligence Problem Sources of Knowledge in Vision Levels of Abstraction1 3D Computer Vision and Video Computing IntroductionIntroduction CSc I6716 Spring 2011 3D Computer Vision Introduction Instructor: Zhigang Zhu City College of New York zzhu@ccny.cuny.edu 3D Computer

  16. 3D Computer Vision and Video Computing IntroductionIntroduction

    E-Print Network [OSTI]

    Zhu, Zhigang

    /Analysis/Interpretation Interpretation is an Artificial Intelligence Problem Sources of Knowledge in Vision Levels of Abstraction1 3D Computer Vision and Video Computing IntroductionIntroduction CSc I6716 Spring 2013 3D Computer Vision Introduction Instructor: Zhigang Zhu City College of New York zzhu@ccny.cuny.edu 3D Computer

  17. Linkping University Post Print Vision-Based Unmanned Aerial Vehicle

    E-Print Network [OSTI]

    Doherty, Patrick

    Linköping University Post Print Vision-Based Unmanned Aerial Vehicle Navigation Using Geo. Original Publication: Gianpaolo Conte and Patrick Doherty, Vision-Based Unmanned Aerial Vehicle Navigation.1155/2009/387308 Research Article Vision-Based Unmanned Aerial Vehicle Navigation Using Geo-Referenced Information Gianpaolo

  18. Hydraulic Institute Mission and Vision:

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergy HeadquartersFuelB IMSofNewsletterGuidingUpdate Webinar SlidessHydraulic Institute

  19. Wind Vision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergy Webinar: Demonstration of NREL's

  20. Fusion Energy: Visions of the Future

    E-Print Network [OSTI]

    energy conversion Direct energy conversion No $$$ turbines Why Is Aneutronic Fusion Cheap? #12;Dense Star Formation REPRODUCING NATURAL INSTABILITIES Solar Flares #12;Energy (X-rays, Ion Beams) CaptureFusion Energy: Visions of the Future Dec. 10-11, 2013 FOCUS FUSION Cheap, Clean, Safe & Unlimited

  1. Kernel methods & sparse methods for computer vision

    E-Print Network [OSTI]

    Bach, Francis

    / algorithms / applications 2 #12;Machine learning for computer vision · Multiplication of digital media · Many from 3 #12;Image retrieval Classification, ranking, outlier detection 4 #12;Image retrieval Classification, ranking, outlier detection 5 #12;Image retrieval Classification, ranking, outlier detection 6 #12

  2. Book Review Re-Visioning Conservation

    E-Print Network [OSTI]

    Waller, Donald M.

    of prescient efforts by Victor Shelford and the Ecological Society of America in the 1920s and 1930sBook Review Re-Visioning Conservation Rewilding North America. A Vi- sion for Conservation large connected areas with intact populations of car- nivores and ecological processes

  3. Robotics and Vision Scientist Evolution Robotics

    E-Print Network [OSTI]

    Plotkin, Joshua B.

    91106 (626) 993-3300 09 May 2011 Evolution Robotics Employment Opportunity Profile · Title: Robotics and Vision Scientist · Reports to: VP of Research and Development The Company: Evolution Robotics, Inc. The recent convergence of low-cost mobile comput- ing, wireless communication, and sensing technologies has

  4. Object Categorization: Computer and Human Vision Perspectives

    E-Print Network [OSTI]

    Edelman, Shimon

    to the question of what it means to see. 1.2 Seeing vs. "seeing as" In his epochal book Vision, David Marr (1982, detailed, and computational. Briefly, according to Marr, to see means "to know what is where by looking of the known objects, if any, are present in the scene. The research program initiated by Marr and Poggio (1977

  5. Vision, mission and strategies 2010 to 2020

    E-Print Network [OSTI]

    Svenningsson, Josef

    Vision, mission and strategies 2010 to 2020 UNIVERSITY OF TECHNOLOGY #12;#12;A sustainable future nature of our organisation also promotes freedom regarding career paths, owner- ship and responsibility to sustainability. We make good use of Chalmers' strengths and opportunities to extend our collaborations

  6. TESLA'S VISION OF THE WIRELESS GLOBAL COMMUNICATIONS

    E-Print Network [OSTI]

    Trajkovic, Ljiljana

    of Nikola Tesla #12;January 17, 2005 UBC Ljiljana Trajkovic, Simon Fraser University 9 Wireless patentsTESLA'S VISION OF THE WIRELESS GLOBAL COMMUNICATIONS Ljiljana Trajkovi Communication Networks;January 17, 2005 UBC Ljiljana Trajkovic, Simon Fraser University 2 Road map Tesla in 1890's First wireless

  7. TESLA'S VISION OF THE WIRELESS GLOBAL COMMUNICATIONS

    E-Print Network [OSTI]

    Trajkovic, Ljiljana

    to align with the electric field. The Inventions, Researches and Writings of Nikola Tesla #12;March 12TESLA'S VISION OF THE WIRELESS GLOBAL COMMUNICATIONS Ljiljana Trajkovi Communication Networks;March 12, 2004 Kwantlen College Ljiljana Trajkovic, Simon Fraser University 2 Road map Tesla in 1890's

  8. Computer Vision Project Topics Project Reports

    E-Print Network [OSTI]

    Zhu, Zhigang

    (contour projection?). step5: choose a tolerance value(3 or 5 pixels) to evaluate the image with eachComputer Vision Project Topics CSc I6716 Spring2011 #12;Project Reports 1. Introduction (problem up with Nikolaos Markou? · Key Components ­ The project is to find a target image from bunch

  9. VISION 2020 A SUSTAINABILITY STRATEGY FOR

    E-Print Network [OSTI]

    Ruthazer, Edward

    FROM THE PRINCIPAL 2 EXECUTIVE SUMMARY 4 INTRODUCTION 5 BENCHMARKING OUR SUSTAINABILITY PERFORMANCE 7VISION 2020 A SUSTAINABILITY STRATEGY FOR MCGILL UNIVERSITY #12;MCGILL UNIVERSITY ASPIRES TO ACHIEVE THE HIGHEST POSSIBLE STANDARDS OF SUSTAINABILITY ON ITS CAMPUSES AND IN ITS DAY-TO-DAY ACTIVITIES

  10. VISION 2020 A SUSTAINABILITY STRATEGY FOR

    E-Print Network [OSTI]

    Ruthazer, Edward

    VISION 2020 A SUSTAINABILITY STRATEGY FOR MCGILL UNIVERSITY PRIORITY ACTION BRIEFS #12;Research Through a consultative process, develop a working definition of "sustainability research" and map of "sustainability research" and map the presence of such research at McGill. DESCRIPTION Research that explores

  11. 2020 Vision Project Summary: FY99

    SciTech Connect (OSTI)

    K.W. Gordon; K.P. Scott

    2000-01-01

    During the 1998-99 school year, students from participating schools completed and submitted a variety of scenarios describing potential world and regional conditions in the year 2020 and their possible effect on U.S. national security. This report summarizes the student's views and describes trends observed over the course of the 2020 Vision project's four years.

  12. Introduction 3 Our Vision for 2020 7

    E-Print Network [OSTI]

    Aickelin, Uwe

    29 The University of Nottingham was founded on a vision that education can transform people's lives and declare University Park our new home, Sir Jesse Boot wrote: At the moment of the opening by His Majesty the King, when the stones of the coming University are still un-weathered by time, it is difficult

  13. Building Technologies Program Vision, Mission, and Goals

    SciTech Connect (OSTI)

    2011-12-15

    The Vision, Mission, and Goals of the Building Technologies Program (BTP) focus on short term energy efficiency outcomes such as improved economic environment, enhanced comfort, and affordability that collectively benefit our nation. Long-term goals focus on helping secure our nation's energy independence.

  14. Photogrammetric Computer Vision, WS 2011 -Exercise 1 Javier Montoya Zurich WS 2011 1 / 6 Photogrammetric Computer Vision WS 2011

    E-Print Network [OSTI]

    Giger, Christine

    Photogrammetric Computer Vision, WS 2011 - Exercise 1 Javier Montoya Zurich WS 2011 1 / 6 Photogrammetric Computer Vision WS 2011 Exercise 3 Javier Montoya Photogrammetry and Remote SensingPhotogrammetry and Remote Sensing http://www.igp.ethz.ch/photogrammetry #12;Photogrammetric Computer Vision, WS 2011

  15. Photogrammetric Computer Vision, WS 2011 -Exercise 1 Javier Montoya Zurich WS 2011 1 / 17 Photogrammetric Computer Vision WS 2011

    E-Print Network [OSTI]

    Giger, Christine

    Photogrammetric Computer Vision, WS 2011 - Exercise 1 Javier Montoya Zurich WS 2011 1 / 17 Photogrammetric Computer Vision WS 2011 Exercise 2 Javier Montoya Photogrammetry and Remote SensingPhotogrammetry and Remote Sensing http://www.igp.ethz.ch/photogrammetry #12;Photogrammetric Computer Vision, WS 2011

  16. Vision Energy | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavyAgencyTendo New EnergyWindState Grid JV Jump to:doEnergy Jump to:

  17. QD Vision | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg,Energy LLCALLETE Inc dEAPrysmianPvT Capital GmbhQ CellsQD

  18. PNNL: About - Mission and Vision

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeeding access| Department ofStephen P rice Los A lamos N a4onalNews9273PNNL's

  19. vision | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouthReporteeo | National Nuclear Securityhr |of energyvision | National

  20. Energy Vision | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePowerEdisto Electric Coop, Incsource History ViewEnergyConvergence ofIVision

  1. Wind Vision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyThe U.S.Lacledeutilities.Energy Thefull swing, andWind ProgramThe DeputyofWind

  2. PNNL: About - Mission and Vision

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesseworkSURVEYI/O Streams forOrhan Kizilkaya,P. LesliePHI.VCS.P8.01FastEMSAt

  3. Wind Vision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsofProgram: Report1538-1950DepartmentWaveWind Program R&DResearch and6

  4. Sandia Energy - Vision/Mission

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)GeothermalFuel MagnetizationTransportationVideos Home EC Permalink

  5. SunShot Vision Study: February 2012 (Book), SunShot, Energy Efficiency &

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Financing ToolInternational Affairs, Before the CommitteeYearsCompetition RulesSunShot Vision

  6. Vision for Rollout of Fuel Cell Vehicles and Hydrogen Fuel Stations

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematics And Statistics » USAJobs Search USAJobsAdvancedVeteran LeadershipVision for Rollout of Fuel Cell

  7. Type: Renewal

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCEDInstallers/ContractorsPhotovoltaicsStateof Energy TwoEvent at the Pu Facility,Type IV COPV1

  8. Visual Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin FilmUnitedVairexVertVillage ofVirginia/WindVirtusVisionVisual

  9. Essay/Book review to appear in The Gerontologist VISION IMPAIRMENT AND REHABILITATION

    E-Print Network [OSTI]

    Sekuler, Robert

    Essay/Book review to appear in The Gerontologist VISION IMPAIRMENT AND REHABILITATION: TAKING STOCK and Frank J. Whittington. AFB Press, New York, 285 pp., $32.95 (paper). Vision Rehabilitation: Assessment). The Lighthouse Handbook on Vision Impairment and Vision Rehabilitation, Volume I, Vision Impairment, and Volume

  10. On the Foundations of Vision Modeling V. Noncommutative Monoids of Occlusive

    E-Print Network [OSTI]

    Ferguson, Thomas S.

    giants in vision sciences, including David Marr in computer vision and artificial intelligence [1On the Foundations of Vision Modeling V. Noncommutative Monoids of Occlusive Preimages Jianhong and realistic modeling of human and computer vision. Key words: Vision, depth, occlusion, preimages

  11. The New Urbanism: Expanding the Vision for the Design Professions

    E-Print Network [OSTI]

    1994-01-01

    the Vision for the Design Professions Partici pants 1 Aof design ] . The Profession and the Future: Expanding O u rthe environmental design professions. Hood: I once heard th

  12. Vision Machine & Fabrication Corp. Named Top Small Business Subcontrac...

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

    Vision Machine & Fabrication Corp. Named Top Small Business Subcontractor at Jefferson Lab for FY 2014 NEWPORT NEWS, VA, Sept. 10, 2015 - Jefferson Science Associates, the...

  13. Pump Systems Matter Mission and Vision | Department of Energy

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

    ionofPumpSystemsMatter.pdf More Documents & Publications Overview of Pump Systems Matter Hydraulic Institute Mission and Vision Course Overview Pump Systems Matter Optimization...

  14. Stereo Vision Aided Navigation for Robotic Boats (MAS 10)

    E-Print Network [OSTI]

    2006-01-01

    A docking system for a robotic boat using stereo vision foraided Navigation for Robotic Boats Arvind Menezes Pereira,Moorthi and David Caron. Robotic Embedded Systems Lab,

  15. Secretary Chu Presents Smart Grid Vision and Announces $144 Million...

    Office of Environmental Management (EM)

    Chu detailed his vision for implementing the smart grid and modernizing America's electrical system: a stronger, smarter, more efficient electricity infrastructure that will...

  16. An Earth-Friendly Wind Vision | Department of Energy

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

    Wind Vision Wind energy is a clean, domestic energy source that requires little to no water and creates no air pollution when compared with conventional energy technologies. In...

  17. DOE Releases Climate VISION Progress Report 2007 | Department...

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

    Outlines Industry Progress in Reducing Greenhouse Gas Emissions Intensity through Climate VISION Partnership WASHINGTON, DC - The U.S. Department of Energy (DOE) today released the...

  18. Hydropower Vision: Task Force Charter V2 06/09/2014 U.S. Department of Energy Wind and Water Power Technologies Office - Hydropower Vision Project 1

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergy HeadquartersFuelB IMSofNewsletterGuidingUpdateof Energy HydropowerHydropower Vision:

  19. RAPID VISION APPLICATION DEVELOPMENT USING HIVE A Modular and Scaleable Approach to Vision System Engineering

    E-Print Network [OSTI]

    British Columbia, University of

    called drones are defined and connected together to create larger systems. Drones are simple to implement vision pipelines. We present a set of drones defined within Hive and a suite of applications built using these drones which utilize the input from multiple cameras and a variety of sensors. Results demonstrate

  20. Flexible electrode array for artifical vision

    DOE Patents [OSTI]

    Krulevitch, Peter (Pleasanton, CA); Polla, Dennis L. (Roseville, MN); Maghribi, Mariam N. (Davis, CA); Hamilton, Julie (Tracy, CA)

    2006-12-05

    An image is captured or otherwise converted into a signal in an artificial vision system. The signal is transmitted to the retina utilizing an implant. The implant consists of a polymer substrate made of a compliant material such as poly(dimethylsiloxane) or PDMS. The polymer substrate is conformable to the shape of the retina. Electrodes and conductive leads are embedded in the polymer substrate. The conductive leads and the electrodes transmit the signal representing the image to the cells in the retina. The signal representing the image stimulates cells in the retina.

  1. Dynamic Programming and Graph Algorithms in Computer Vision Pedro F. Felzenszwalb and Ramin Zabih

    E-Print Network [OSTI]

    Field, David

    : Combinatorial Algorithms, Vision and Scene Understanding, Artificial Intelligence, Computing Methodologies 1Dynamic Programming and Graph Algorithms in Computer Vision Pedro F. Felzenszwalb and Ramin Zabih, and has been successfully applied to many vision problems. Discrete optimization techniques are especially

  2. Vision, Robotics and Images Research Group, UFPR 1 GPU-accelerated PSF Estimation with a

    E-Print Network [OSTI]

    , Computer Vision, Artificial Intelligence Databases, Computer-Human Interface Computer Networks, EmbeddedVision, Robotics and Images Research Group, UFPR 1 GPU-accelerated PSF Estimation) Kiepenheuer Institute for Solar Physics, Freiburg, Germany #12;Vision, Robotics and Images Research Group

  3. ITP Mining: The Future Begins with Mining- A Vision of the Mining Industry of the Future

    Broader source: Energy.gov [DOE]

    This vision document details long-term goals and objectives for the mining industry. Stemming from this vision document, targeted technology roadmaps were developed that describe pathways of research to achieve the vision goals.

  4. NEASC Accreditation Resources Resource Topic

    E-Print Network [OSTI]

    Chandy, John A.

    Resources Info Source Weblink / Electronic Source Paper Academic Planning 2 E 2.1 X X Academic Plan Office.8, 4.9 REP 3 S4.17 Planning Activities Examples College of Agriculture and Natural Resources Website/ Appendix Number Weblink/ Electronic Source Paper Source Additional Resources Info Source Weblink

  5. The SUN Action database : collecting and analyzing typical actions for visual scene types

    E-Print Network [OSTI]

    Olsson, Catherine Anne White

    2013-01-01

    Recent work in human and machine vision has increasingly focused on the problem of scene recognition. Scene types are largely defined by the actions one might typically do there: an office is a place someone would typically ...

  6. ME/SE 740 Vision, Robotics & Planning Spring 2009

    E-Print Network [OSTI]

    Lin, Xi

    ME/SE 740 ­ Vision, Robotics & Planning Spring 2009 Professor Pierre Dupont, Room 408, 110 Cummington Street 353-9596 pierre@bu.edu Required Text: A Mathematical Introduction to ROBOTIC MANIPULATION://www.engin.umich.edu/group/ctm/basic/basic.html #12;ME/SE 740 ­ Vision, Robotics & Planning 1/22/20092 Course Topics: 1. Introduction: · Historical

  7. A SURVEY ON INDUSTRIAL VISION SYSTEMS, APPLICATIONS AND TOOLS

    E-Print Network [OSTI]

    Petrakis, Euripides G.M.

    A SURVEY ON INDUSTRIAL VISION SYSTEMS, APPLICATIONS AND TOOLS 1 Elias N. Malamas, Euripides G ways to classify applications are proposed, one according to the inspected features of the industrial product or process. The most contemporary software and hardware tools for developing industrial vision

  8. Wonder Material Brings New Light to Night-Vision Gear

    E-Print Network [OSTI]

    Sridhar, Srinivas

    Wonder Material Brings New Light to Night-Vision Gear June 2012 By Max Cacas, SIGNAL Magazine E with graphene. Page 1 of 4Wonder Material Brings New Light to Night-Vision Gear | SIGNAL Magazine 12/16/2013http

  9. Context-Based Vision System for Place and Object Recognition

    E-Print Network [OSTI]

    Torralba, Antonio

    2003-03-19

    While navigating in an environment, a vision system has to be able to recognize where it is and what the main objects in the scene are. In this paper we present a context-based vision system for place and object ...

  10. Towards vision-based safe landing for an autonomous helicopter

    E-Print Network [OSTI]

    Sukhatme, Gaurav S.

    Towards vision-based safe landing for an autonomous helicopter Pedro J. Garcia-Pardoa;, Gaurav S from real test ights on a helicopter testbed demonstrate the robustness of the approach under widely di-performance embedded com- puters. Key words: autonomous helicopter, vision-based landing, safe landing, contrast

  11. Making Sense of your Data The Data Center Vision

    E-Print Network [OSTI]

    Brock, David

    Making Sense of your Data The Data Center Vision: Making Sense of the Data David L. Brock The Data ABSTRACT The Data Center at the Massachusetts Institute of Technology is a new initiative charged. This paper presents the vision and goals of the Data Center ­ and lays the foundation for a new Intelligent

  12. A Neuromorphic Saliency-Map based Active Vision System

    E-Print Network [OSTI]

    complement conventional imagers and machine vision components. A standard imager is mounted next to a Dynamic a major role in determining where to center the high-resolution central foveal region of the retina by a large number of research projects within the field of robotics and machine vision [10]. However, given

  13. 7. Business Models LearningsfromfoundingaComputerVisionStartup

    E-Print Network [OSTI]

    Solem, Jan Erik

    7. Business Models #12;LearningsfromfoundingaComputerVisionStartup Flickr:dystopos How are you models ! ! (not only technology) #12;LearningsfromfoundingaComputerVisionStartup Auction business model! Bricks and clicks business model! Collective business models! Component business model! Cutting out

  14. Research paper A vision-based system for inspecting painted

    E-Print Network [OSTI]

    Whelan, Paul F.

    Research paper A vision-based system for inspecting painted slates Ovidiu Ghita, Tim Carew and Paul the visual defects on painted slates. Design/methodology/approach ­ The vision system that has been developed indicates that automating the inspection of painted slates can be achieved and installation in a factory

  15. SunShot Vision Study: February 2012 (Book), SunShot, Energy Efficiency...

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

    More Documents & Publications SunShot Vision Study: February 2012 (Book), SunShot, Energy Efficiency & Renewable Energy (EERE) SunShot Vision Study: February 2012 (Book),...

  16. Vision for Rollout of Fuel Cell Vehicles and Hydrogen Fuel Stations...

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

    Vision for Rollout of Fuel Cell Vehicles and Hydrogen Fuel Stations Vision for Rollout of Fuel Cell Vehicles and Hydrogen Fuel Stations This document establishes the California...

  17. Additional Resources

    Broader source: Energy.gov [DOE]

    The following resources are focused on Federal new construction and major renovation projects, sustainable construction, and the role of renewable energy technologies in such facilities. These...

  18. User Guide for VISION 3.4.7 (Verifiable Fuel Cycle Simulation) Model

    SciTech Connect (OSTI)

    Jacob J. Jacobson; Robert F. Jeffers; Gretchen E. Matthern; Steven J. Piet; Wendell D. Hintze

    2011-07-01

    The purpose of this document is to provide a guide for using the current version of the Verifiable Fuel Cycle Simulation (VISION) model. This is a complex model with many parameters and options; the user is strongly encouraged to read this user guide before attempting to run the model. This model is an R&D work in progress and may contain errors and omissions. It is based upon numerous assumptions. This model is intended to assist in evaluating 'what if' scenarios and in comparing fuel, reactor, and fuel processing alternatives at a systems level. The model is not intended as a tool for process flow and design modeling of specific facilities nor for tracking individual units of fuel or other material through the system. The model is intended to examine the interactions among the components of a fuel system as a function of time varying system parameters; this model represents a dynamic rather than steady-state approximation of the nuclear fuel system. VISION models the nuclear cycle at the system level, not individual facilities, e.g., 'reactor types' not individual reactors and 'separation types' not individual separation plants. Natural uranium can be enriched, which produces enriched uranium, which goes into fuel fabrication, and depleted uranium (DU), which goes into storage. Fuel is transformed (transmuted) in reactors and then goes into a storage buffer. Used fuel can be pulled from storage into either separation or disposal. If sent to separations, fuel is transformed (partitioned) into fuel products, recovered uranium, and various categories of waste. Recycled material is stored until used by its assigned reactor type. VISION is comprised of several Microsoft Excel input files, a Powersim Studio core, and several Microsoft Excel output files. All must be co-located in the same folder on a PC to function. You must use Powersim Studio 8 or better. We have tested VISION with the Studio 8 Expert, Executive, and Education versions. The Expert and Education versions work with the number of reactor types of 3 or less. For more reactor types, the Executive version is currently required. The input files are Excel2003 format (xls). The output files are macro-enabled Excel2007 format (xlsm). VISION 3.4 was designed with more flexibility than previous versions, which were structured for only three reactor types - LWRs that can use only uranium oxide (UOX) fuel, LWRs that can use multiple fuel types (LWR MF), and fast reactors. One could not have, for example, two types of fast reactors concurrently. The new version allows 10 reactor types and any user-defined uranium-plutonium fuel is allowed. (Thorium-based fuels can be input but several features of the model would not work.) The user identifies (by year) the primary fuel to be used for each reactor type. The user can identify for each primary fuel a contingent fuel to use if the primary fuel is not available, e.g., a reactor designated as using mixed oxide fuel (MOX) would have UOX as the contingent fuel. Another example is that a fast reactor using recycled transuranic (TRU) material can be designated as either having or not having appropriately enriched uranium oxide as a contingent fuel. Because of the need to study evolution in recycling and separation strategies, the user can now select the recycling strategy and separation technology, by year.

  19. High Energy Vision: Processing X-rays

    E-Print Network [OSTI]

    DePasquale, Joseph; Edmonds, Peter

    2015-01-01

    Astronomy is by nature a visual science. The high quality imagery produced by the world's observatories can be a key to effectively engaging with the public and helping to inspire the next generation of scientists. Creating compelling astronomical imagery can, however, be particularly challenging in the non-optical wavelength regimes. In the case of X-ray astronomy, where the amount of light available to create an image is severely limited, it is necessary to employ sophisticated image processing algorithms to translate light beyond human vision into imagery that is aesthetically pleasing while still being scientifically accurate. This paper provides a brief overview of the history of X-ray astronomy leading to the deployment of NASA's Chandra X-ray Observatory, followed by an examination of the specific challenges posed by processing X-ray imagery. The authors then explore image processing techniques used to mitigate such processing challenges in order to create effective public imagery for X-ray astronomy. ...

  20. On computer vision in wireless sensor networks.

    SciTech Connect (OSTI)

    Berry, Nina M.; Ko, Teresa H.

    2004-09-01

    Wireless sensor networks allow detailed sensing of otherwise unknown and inaccessible environments. While it would be beneficial to include cameras in a wireless sensor network because images are so rich in information, the power cost of transmitting an image across the wireless network can dramatically shorten the lifespan of the sensor nodes. This paper describe a new paradigm for the incorporation of imaging into wireless networks. Rather than focusing on transmitting images across the network, we show how an image can be processed locally for key features using simple detectors. Contrasted with traditional event detection systems that trigger an image capture, this enables a new class of sensors which uses a low power imaging sensor to detect a variety of visual cues. Sharing these features among relevant nodes cues specific actions to better provide information about the environment. We report on various existing techniques developed for traditional computer vision research which can aid in this work.

  1. Volunteers - Resources

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

    SciClips Video Contest Sponsors Volunteers - Resources About Science Bowl Curriculum and Activities How to Build a Motor The Great Marble Drop How to Build a Turbine How...

  2. CESP Tool 3.1: Vision Development Worksheet | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based Fuels| Department ofBusinessCEA - ExternalCESP Tool 3.1: Vision

  3. Vision of the Future Grid Workshop (November 2011) | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann Jackson About1996HowFOAShowingFuel Efficiency &Report |Vehicles on the RoadViewVision

  4. A Survey of Current Datasets for Vision and Language Research

    E-Print Network [OSTI]

    Francis Ferraro; Nasrin Mostafazadeh; Ting-Hao; Huang; Lucy Vanderwende; Jacob Devlin; Michel Galley; Margaret Mitchell

    2015-08-19

    Integrating vision and language has long been a dream in work on artificial intelligence (AI). In the past two years, we have witnessed an explosion of work that brings together vision and language from images to videos and beyond. The available corpora have played a crucial role in advancing this area of research. In this paper, we propose a set of quality metrics for evaluating and analyzing the vision & language datasets and categorize them accordingly. Our analyses show that the most recent datasets have been using more complex language and more abstract concepts, however, there are different strengths and weaknesses in each.

  5. Tiny camera could aid in robotics, night vision Monday, January 17, 2011

    E-Print Network [OSTI]

    Rogers, John A.

    Tiny camera could aid in robotics, night vision Monday, January 17, 2011 Researchers from night-vision surveillance, robotic vision, endoscopic imaging, and consumer electronics. "We were on this article! 0 COMMENTS Page 1 of 1Tiny camera could aid in robotics, night vision | R&D Mag 1/19/2011http

  6. Advanced Quality Inspection through PhysicsBased Vision Volker Mller 1 , Sven Utcke 2

    E-Print Network [OSTI]

    formation are analysed in this new field of research in order to develop more efficient artificial vision, but the overall performance of artificial vision systems is still far from natural ones. One approach to design­nation of artificial vision and arti­ ficial intelligence (Fig. 1). Physics­based vision is a multi­discipine approach

  7. ON THE FOUNDATIONS OF VISION MODELING V. NONCOMMUTATIVE MONOIDS OF OCCLUSIVE PREIMAGES

    E-Print Network [OSTI]

    in computer vision and artificial intelligence [1], Gaetano Kanizsa in Gestalt and cognitive vision [2ON THE FOUNDATIONS OF VISION MODELING V. NONCOMMUTATIVE MONOIDS OF OCCLUSIVE PREIMAGES By Jianhong/624-6066 Fax: 612/626-7370 URL: http://www.ima.umn.edu #12;On the Foundations of Vision Modeling V

  8. Special Issue: Probabilistic models of cognition Vision as Bayesian inference: analysis

    E-Print Network [OSTI]

    Kersten, Dan

    images. Attempts to understand the phenomenology of vision from artificial stimuli, although worthwhile vision systems have typically been performed using artificial stimuli and tasks. Although much progress-known to computer vision researchers that vision algorithms that work on artificial stimuli almost never generalize

  9. Teacher Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired Solar Fuel ProductionRecoverable UserTeacher Resource Kit This

  10. Archaeological Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News Publications TraditionalWithAntiferromagnetic Spins DoApplyArchaeological Resources

  11. Resource Program

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100Nationalquestionnaires 0serial codes on loginResonant SoftResource0

  12. Why Billy?: visions of America's outlaw kid, 1981-1998 

    E-Print Network [OSTI]

    Kimbrough, Thomas Matthew

    2013-02-22

    Stephen Tatum's Inventing Billy the Kid: Visions of the Outlaw in America, 1881-1981 (1982) surveys the huge bibliography of materials relating to Billy the Kid in four phases of American history and relates them to their ...

  13. Neuromorphic Vision Chips: intelligent sensors for industrial applications

    E-Print Network [OSTI]

    Neuromorphic Vision Chips: intelligent sensors for industrial applications Giacomo Indiveri, J, Neuromorphic Systems, Intelligent Sensors, Vehicle Navigation I. Introduction THE term "neuromorphic systems them in hardware. The developed chips can thus be used as "intelligent sensors"; sensors that, from

  14. SystemVision Energy Guarantee Program | Department of Energy

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

    Rebate Program Rebate Amount 4,000 for each home developed through the New Homes Loan Pool or the Self-Help Loan Pool following SystemVision guidelines 1,000 bonus for homes...

  15. A New Vision for U.S. Hydropower

    SciTech Connect (OSTI)

    2014-04-30

    The U.S. Department of Energy (DOE) Water Power Program is looking toward the future of the hydropower industry by initiating the development of a long-range national Hydropower Vision.

  16. Research Councils UK Joint Vision For Collaborative Training

    E-Print Network [OSTI]

    Research Councils UK Joint Vision For Collaborative Training Objectives: Research Council Collaborative Training will provide doctoral students with a first- rate, challenging research training experience, within the context of a mutually beneficial research collaboration between academic and partner

  17. Overview of NETL In-House Vision 21 Activities

    SciTech Connect (OSTI)

    Wildman, David J.

    2001-11-06

    The Office of Science and Technology at the National Energy Technology Laboratory, conducts research in support of Department of Energy's Fossil Energy Program. The research is funded through a variety of programs with each program focusing on a particular aspect of fossil energy. Since the Vision 21 Concept is based on the Advanced Power System Programs (Integrated Gasification Combined Cycle, Pressurized Fluid Bed, HIPPS, Advanced Turbine Systems, and Fuel Cells) it is not surprising that much of the research supports the Vision 21 Concept. The research is classified and presented according to ''enabling technologies'' and ''supporting technologies'' as defined by the Vision 21 Program. Enabling technology include fuel flexible gasification, fuel flexible combustion, hydrogen separation from fuel gas, advanced combustion systems, circulating fluid bed technology, and fuel cells. Supporting technologies include development of advanced materials, computer simulations, computation al fluid dynamics modeling, and advanced environmental control. An overview of Vision 21 related research is described, emphasizing recent accomplishments and capabilities.

  18. Combining Vision Verification with a High Level Robot Programming Language 

    E-Print Network [OSTI]

    Yin, Baolin

    1984-01-01

    This thesis describes work on using vision verification within an object level language for describing robot assembly (RAPT). The motivation for this thesis is provided by two problems. The first is how to enhance a ...

  19. Computer vision based navigation for spacecraft proximity operations

    E-Print Network [OSTI]

    Tweddle, Brent Edward

    2010-01-01

    The use of computer vision for spacecraft relative navigation and proximity operations within an unknown environment is an enabling technology for a number of future commercial and scientific space missions. This thesis ...

  20. Interactive learning and prediction algorithms for computer vision applications

    E-Print Network [OSTI]

    Branson, Steven

    2012-01-01

    computer vision systems from relying on artificial datsetsvision (and machine learning) transitioning into being more of an applied field; in the wild refers to transi- tioning away from artificial

  1. Sampling in computer vision and Bayesian nonparametric mixtures

    E-Print Network [OSTI]

    Chang, Jason, Ph. D. Massachusetts Institute of Technology

    2014-01-01

    The field of computer vision focuses on understanding and reasoning about the visual world. Due to the complexity of this problem, researchers often focus on one specific component of this large task, such as segmentation ...

  2. The Stellar Imager (SI) Vision Mission

    E-Print Network [OSTI]

    Kenneth G. Carpenter; Carolus J. Schrijver; Margarita Karovska; SI Vision Mission Team

    2006-06-16

    The Stellar Imager (SI) is a UV-Optical, Space-Based Interferometer designed to enable 0.1 milli-arcsecond (mas) spectral imaging of stellar surfaces and of the Universe in general and asteroseismic imaging of stellar interiors. SI is identified as a "Flagship and Landmark Discovery Mission" in the 2005 Sun Solar System Connection (SSSC) Roadmap and as a candidate for a "Pathways to Life Observatory" in the Exploration of the Universe Division (EUD) Roadmap (May, 2005). SI will revolutionize our view of many dynamic astrophysical processes: its resolution will transform point sources into extended sources, and snapshots into evolving views. SI's science focuses on the role of magnetism in the Universe, particularly on magnetic activity on the surfaces of stars like the Sun. SI's prime goal is to enable long-term forecasting of solar activity and the space weather that it drives. SI will also revolutionize our understanding of the formation of planetary systems, of the habitability and climatology of distant planets, and of many magneto-hydrodynamically controlled processes in the Universe. The results of the SI "Vision Mission" Study are presented in this paper. Additional information on the SI mission concept and related technology development can be found at URL: http://hires.gsfc.nasa.gov/si/.

  3. Computing Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit the following commentsMethodsCompositional6EnergyComputing

  4. Cultural Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding in ActinideRail betweenProtection and Control |

  5. Business resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L OBransenBusiness networking and coaching at your

  6. Volunteers - Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0 -UsingHeat & CoolVolker Urban

  7. Subcontractor Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque|SensitiveAprilPhotonStructureStudents today.Please

  8. Online Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you notHeatMaRIEdioxideUser WorkEPVisitingOil & GasAdsorptionOnline

  9. Privacy Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeedingProgramExemptions | National Nuclear SecurityRecords | Department

  10. Utility Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentric viewing system forPortal Building EnergyPages

  11. Internal Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATION PLANIsProcess RelevantInternal AuditDrawings/Photos | Links

  12. Marketing Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse BergkampCentermillion toMSDS onBudget ||EnergyMark Holecek |Mark

  13. Mobile Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete7 AssessmentBusinessAlternative Fueling StationMobile

  14. Analysis of Low-Temperature Utilization of Geothermal Resources...

    Open Energy Info (EERE)

    Utilization of Geothermal Resources Project Type Topic 1 Recovery Act: Enhanced Geothermal Systems Component Research and DevelopmentAnalysis Project Type Topic 2...

  15. Research Resources and Centers Research plays an integral role in Rensselaer's vision of the

    E-Print Network [OSTI]

    Varela, Carlos

    policies, guidelines, and infrastructure. NY State Center for Advanced Technologies on Future Energy Systems (Energy CAT) Director: Omkaram (Om) Nalamasu Future Energy Systems is a newly designated Center. Future Energy Systems CAT brings together Rensselaer and Cornell's world-class scientists, programs

  16. On-machine 3D vision system for machining setup modeling

    E-Print Network [OSTI]

    Zhang, Xi; Tian, Xiaodong; Yamazaki, Kazuo

    2010-01-01

    3 ORIGINAL ARTICLE On-machine 3D vision system for machiningIn computer numerical control machine tools, using machiningIn this paper, an on-machine vision system is presented to

  17. ITP Metal Casting: A Vision for the U.S. Metal Casting Industry...

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

    A Vision for the U.S. Metal Casting Industry: 2002 and Beyond ITP Metal Casting: A Vision for the U.S. Metal Casting Industry: 2002 and Beyond mcvision.pdf More Documents &...

  18. Sandia Energy - Wind Vision 2015: A New Era for Wind Power in...

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

    Wind Vision 2015: A New Era for Wind Power in the United States Home Stationary Power Energy Conversion Efficiency Wind Energy Special Programs Wind Vision 2015: A New Era for Wind...

  19. SunShot Vision Study: February 2012 (Book), SunShot, Energy Efficiency...

    Office of Environmental Management (EM)

    Publications SunShot Vision Study: February 2012 (Book), SunShot, Energy Efficiency & Renewable Energy (EERE) SunShot Vision Study: February 2012 (Book), SunShot, Energy Efficiency...

  20. SunShot Vision Study: February 2012 (Book), SunShot, Energy Efficiency...

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

    The SunShot Vision Study SunShot Vision Study: February 2012 (Book), SunShot, Energy Efficiency & Renewable Energy (EERE) SunShot Concentrating Solar Power Program Update...

  1. SunShot Vision Study: February 2012 (Book), SunShot, Energy Efficiency...

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

    policy framework." 47927.pdf More Documents & Publications The SunShot Vision Study SunShot Vision Study: February 2012 (Book), SunShot, Energy Efficiency & Renewable Energy (EERE)...

  2. Combined Heat and Power: A Vision for the Future of CHP in the...

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

    Vision for the Future of CHP in the United States in 2020, June 1999 Combined Heat and Power: A Vision for the Future of CHP in the United States in 2020, June 1999 The U.S....

  3. Combined Heat and Power - A Decade of Progress, A Vision for...

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

    Combined Heat and Power - A Decade of Progress, A Vision for the Future, August 2009 Combined Heat and Power - A Decade of Progress, A Vision for the Future, August 2009 Combined...

  4. A Logic of Vision Jaap van der Does and Michiel van Lambalgen 1

    E-Print Network [OSTI]

    Koolen, Marijn

    reports? These are the main questions we will address in the present essay. Inspired by Marr 1982, we Marr's cognitive theory of vision, whence the name: logic of vision. Implicit in Marr's theory

  5. U-129: RSA enVision Bugs Permit Cross-Site Scripting, SQL Injection...

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

    9: RSA enVision Bugs Permit Cross-Site Scripting, SQL Injection, and Directory Traversal Attacks U-129: RSA enVision Bugs Permit Cross-Site Scripting, SQL Injection, and Directory...

  6. "Passionate Detachment": Technologies of Vision and Violence in American Cinema, 1967 - 1974

    E-Print Network [OSTI]

    Rust, Amy Leigh

    2010-01-01

    and artificial blood do television‘s job better, providing authentic visionsartificial blood, or freeze frames figure historical fantasies of vision andartificial blood, and freeze frames consolidate this authenticity and the vision

  7. SunShot Vision Study: February 2012 (Book), SunShot, Energy Efficiency...

    Office of Environmental Management (EM)

    47927chapter3.pdf More Documents & Publications SunShot Vision Study: February 2012 (Book), SunShot, Energy Efficiency & Renewable Energy (EERE) The SunShot Vision Study...

  8. Information Resources | Department of Energy

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

    sheets, reports and other publications using the Wind Program Publication and Product Library. Or see these key publications: Wind Vision Report Enabling Wind Power Nationwide...

  9. Functional Differences in Avian Colour Vision: A Behavioural Test of Critical Flicker Fusion

    E-Print Network [OSTI]

    Functional Differences in Avian Colour Vision: A Behavioural Test of Critical Flicker Fusion response ...................................................6 Visual perception in artificial environments

  10. An Iterative Image Registration Technique with an Application to Stereo Vision

    E-Print Network [OSTI]

    Granada, Universidad de

    121 An Iterative Image Registration Technique with an Application to Stereo Vision Bruce D. Lucas of the image, including rotation. We then describe a stereo vision system that uses this registration technique Abstract Image registration finds a variety of applications in computer vision. Unfortunately, traditional

  11. MASKS 2004 Invitation to 3D vision Step-by-Step Model Buidling

    E-Print Network [OSTI]

    Kosecka, Jana

    MASKS © 2004 Invitation to 3D vision Step-by-Step Model Buidling #12;MASKS © 2004 Invitation to 3D Reconstruction Sparse Structure and camera motion Landing Augmented Reality Vision Based Control #12;MASKS © 2004 Reconstruction #12;MASKS © 2004 Invitation to 3D vision Review Feature correspondence Projective Reconstruction

  12. A VISION SYSTEM FOR PROVIDING THE BLIND WITH 3D COLOUR PERCEPTION OF THE ENVIRONMENT

    E-Print Network [OSTI]

    Ward, Koren

    are attempting to develop bionic vision for the blind, see [1], [2] and [3]. This is comprised of artificial electrodes. The only commercially available artificial vision implant, at present, is the Dobelle Implant [4A VISION SYSTEM FOR PROVIDING THE BLIND WITH 3D COLOUR PERCEPTION OF THE ENVIRONMENT SIMON MEERS

  13. Convolutional Networks and Applications in Vision Yann LeCun, Koray Kavukcuoglu and Clement Farabet

    E-Print Network [OSTI]

    Cottrell, Garrison W.

    of Vision Science (natural and artificial) is how to produce good internal representations of the visual world. What sort of internal representation would allow an artificial vision system to detect? More interestingly, how could an artificial vision system learn appropriate internal representa- tions

  14. A FLEXIBLE GLOBAL READOUT ARCHITECTURE FOR AN ANALOGUE SIMD VISION CHIP

    E-Print Network [OSTI]

    Dudek, Piotr

    in recent years. These systems, called "artificial retinas", "vision chips" or "smart sensors" exploitA FLEXIBLE GLOBAL READOUT ARCHITECTURE FOR AN ANALOGUE SIMD VISION CHIP Piotr Dudek Department) PO Box 88, Manchester M60 1QD, United Kingdom p.dudek@umist.ac.uk Abstract A new vision chip, SCAMP-2

  15. [Draft: Work In Progress] Deep Challenges of Natural Vision for AI

    E-Print Network [OSTI]

    Sloman, Aaron

    artificial vision systems? 1 2 A lesson from biological stereo perception? 3 3 Detecting pseudo's missing in current artificial vision systems? This paper illustrates an example-driven approach to finding out what the functions of biological vision are and what has not yet been achieved in artificial

  16. Wearable Mobility Aid for Low Vision Using Scene Classification in a Markov Random Field Model

    E-Print Network [OSTI]

    Everingham, Mark

    Wearable Mobility Aid for Low Vision Using Scene Classification in a Markov Random Field Model to vision enhancement for people with severe visual impairments. This approach utilizes computer vision. The scene classifi- cation technique uses an artificial neural network classifier within the framework

  17. Machine Learning, Machine Vision, and the Brain Tomaso Poggio and Christian R. Shelton

    E-Print Network [OSTI]

    Shelton, Christian R.

    to the study of artificial and biological vision. In the last few years both computer vision -- which attemptsMachine Learning, Machine Vision, and the Brain Tomaso Poggio and Christian R. Shelton Center of intelligence, both biological and artificial. In this paper we review our work over the last ten years

  18. Machine Learning, Machine Vision, and the Brain Tomaso Poggio and Christian R. Shelton

    E-Print Network [OSTI]

    Shelton, Christian R.

    to the study of artificial and biological vision. In the last few years both computer vision ­ which attemptsMachine Learning, Machine Vision, and the Brain Tomaso Poggio and Christian R. Shelton Center of intelligence, both biological and artificial. In this paper we review our work over the last ten years

  19. wind vision | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEtGeorgia:Illinois:WizardYatescloud Home Dc'sSolar andsensorstext Homewind

  20. Param Electro Vision | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPIProtectio Program |View New PagesParabolic-TroughParaguay-USAID

  1. Proceedings of the Hydrogen Vision Meeting

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergy Bills andOrderNATIONALof Energy Proceedings of the 1998-2001Workshop

  2. Keynote Address: Future Vision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURING OFFICE INDUSTRIALU.S. DepartmentJeanKey Meeting Takeaways from 201440PM to

  3. Pump Systems Matter Mission and Vision:

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested PartiesBuildingBudget || Department ofDepartmentEnergyof

  4. Geothermal Vision Study | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuelsof Energy Services »Information1 GeothermalTemperatures | Department

  5. Name Module Robotics and Computer Vision Language English

    E-Print Network [OSTI]

    Boucherie, Richard J.

    1 Name Module Robotics and Computer Vision Language English Contact person Ferdi van der Heijden A robotic device is a goal oriented machine that can sense, plan and act; often, in an unknown or dynamic environment. Robotics binds elements from physics and mechanics, sensor and actuator technology, pattern

  6. Supervised learning for computer vision: Kernel methods & sparse methods

    E-Print Network [OSTI]

    Bach, Francis

    · Supervised learning ­ Predict y Y from x X, given observations (xi, yi), i = 1, . . . , n ­ Classification / applications 2 #12;Machine learning for computer vision · Multiplication of digital media · Many different · Machine learning is not limited to binary classification! 3 #12;Image retrieval Classification, ranking

  7. Neurogeometry of color vision David Alleysson, David Meary

    E-Print Network [OSTI]

    Alleysson, David

    the source of color vision, the cones' are also the primary source of spatial information. The cones and neuron dynamics are used to model the representation of forms in the primary visual cortex, V1 how achromatic information could be estimated from the sparse chromatic sampling provided by the cone

  8. Determining Vision Graphs for Distributed Camera Networks Using Feature Digests

    E-Print Network [OSTI]

    Radke, Rich

    1 Determining Vision Graphs for Distributed Camera Networks Using Feature Digests Zhaolin Cheng and the length of each feature descriptor are substantially reduced to form a fixed-length "feature digest" that is broadcast to the rest of the network. Each receiver camera decompresses the feature digest to recover

  9. Cooperative Vision Based Estimation and Tracking Using Multiple UAVs

    E-Print Network [OSTI]

    Cooperative Vision Based Estimation and Tracking Using Multiple UAVs Brett Bethke, Mario Valenti. Unmanned aerial vehicles (UAVs) are excellent platforms for detecting and tracking objects of interest to give better results than could be achieved with a single UAV, while being robust to failures. In addi

  10. Studying Relationships Between Human Gaze, Description, and Computer Vision

    E-Print Network [OSTI]

    Berg, Tamara L.

    . In this paper we provide a glimpse into this exciting future by analyzing how humans interact with vi- sualStudying Relationships Between Human Gaze, Description, and Computer Vision Kiwon Yun1 , Yifan Peng Department of Psychology Stony Brook University, Stony Brook, NY 11794, USA {kyun, yipeng, samaras, tlberg

  11. NEW MACHINE VISION APPLICATIONS IN GERMANY Claus-E. Liedtke

    E-Print Network [OSTI]

    applications in the biomedical field, the printing industry, industrial automation, navigation, remote sensing SCENE ANALYSIS FOR QUALITY CONTROL In industrial automation an increased request for computer vision, or concepts developed at research institutes and the industry in Germany. 1. INTRODUCTION Research

  12. FRP for Transportation and Civil Engineering Infrastructure: Reality and Vision

    E-Print Network [OSTI]

    FRP for Transportation and Civil Engineering Infrastructure: Reality and Vision S. Rizkalla and M polymer (FRP) composite materials in civil engineering and transportation infrastructure applications. Due in infrastructure applications. While the use of FRP composites has become common practice in civil engineering

  13. Development of Machine Vision Technology for Railcar Safety Appliance Inspection

    E-Print Network [OSTI]

    Todorovic, Sinisa

    *Computer Vision and Robotics Laboratory - Department of Electrical and Computer Engineering University American trains depart a terminal or rail yard, many aspects of the cars and locomotives undergo inspection car-specific appliances. Safety appliances have been required on U.S. railcars since 1893 when

  14. Mission & Vision The mission of University Health Services

    E-Print Network [OSTI]

    Wisconsin at Madison, University of

    #12;Mission & Vision The mission of University Health Services (UHS) is to enhance learning and student success by promoting, protecting, and restoring health and well-being. As the comprehensive campus in their own right, we are focused on promoting health essential to a campus environment that facilitates

  15. Student Affairs Supporting the Vision of UC Davis

    E-Print Network [OSTI]

    Ferrara, Katherine W.

    that promote student learning · To provide seamless systems that advance transitions and success · To foster programs focused on mentorship, leadership and career development. Students engaged in activities outsideStudent Affairs Supporting the Vision of UC Davis Annual Report, 2010-2011 #12;STUDENT AFFAIRS

  16. Two Case Studies on Vision-based Moving Objects Measurement 

    E-Print Network [OSTI]

    Zhang, Ji

    2012-10-19

    In this thesis, we presented two case studies on vision-based moving objects measurement. In the first case, we used a monocular camera to perform ego-motion estimation for a robot in an urban area. We developed the algorithm based on vertical line...

  17. Thermal Vision for Sleep Apnea Monitoring , Ioannis Pavlidis1

    E-Print Network [OSTI]

    Thermal Vision for Sleep Apnea Monitoring Jin Fei1 , Ioannis Pavlidis1 , and Jayasimha Murthy2 1- itor sleep apnea through thermal imaging. First, the nostril region is segmented and it is tracked over time via a network of cooperating prob- abilistic trackers. Then, the mean thermal signal

  18. ContraVision: Exploring Users' Reactions to Futuristic Technology

    E-Print Network [OSTI]

    Nuseibeh, Bashar

    ContraVision: Exploring Users' Reactions to Futuristic Technology Clara Mancini*, Yvonne Rogers How can we best explore the range of users' reactions when developing future technologies that maybe, or other narrative forms, that convey either negative or positive aspects of the proposed technology

  19. Robot docking with neural vision and reinforcement Cornelius Weber*,1

    E-Print Network [OSTI]

    Weber, Cornelius

    Robot docking with neural vision and reinforcement Cornelius Weber*,1 , Stefan Wermter, Alexandros, SR6 0DD, UK Available online 10 April 2004 Abstract We present a solution for robotic docking, i.e. approach of a robot toward a table so that it can grasp an object. One constraint is that our People

  20. Radiation Center Strategic Plan 2012 Mission, Vision, Goals and Strategies

    E-Print Network [OSTI]

    analysis, imaging technology, and other areas. It will emphasize nuclear energy development activities-term beneficial applications of nuclear science and technology. II. Planning Horizons Three planning horizons of applications of nuclear science and technology. To us this provides a vision that the Radiation Center

  1. Part Three: Basinwide Vision, Scientific Foundation, Goals, Objectives, and Strategies

    E-Print Network [OSTI]

    by the Independent Scientific Advisory Board. The Council is directed by Congress, through the Northwest Power Act's vision will be accomplished. It is summarized in Return to the River and subsequent reports produced's scientific understanding. The Council's Independent Scientific Advisory Board is responsible for developing

  2. Training discriminative computer vision models with weak supervision

    E-Print Network [OSTI]

    Babenko, Boris

    2012-01-01

    A.I. , 1997. [42] P. Doll´ar, B. Babenko, S. Belongie, P.Vision (ECCV), 2008. [43] P. Doll´ar, Z. Tu, P. Perona, andIn BMVC, 2009. [44] P. Doll´ar, Z. Tu, H. Tao, and S.

  3. Vision-based Analysis of Small Groups in Pedestrian Crowds

    E-Print Network [OSTI]

    1 Vision-based Analysis of Small Groups in Pedestrian Crowds Weina Ge, Robert T. Collins, Senior--Building upon state-of-the-art algorithms for pedestrian detection and multi-object tracking, and inspired results quantitatively and qualitatively on videos of real-world pedestrian scenes. Where human

  4. A Vision for Systems Engineering Applied to Wind Energy (Presentation)

    SciTech Connect (OSTI)

    Felker, F.; Dykes, K.

    2015-01-01

    This presentation was given at the Third Wind Energy Systems Engineering Workshop on January 14, 2015. Topics covered include the importance of systems engineering, a vision for systems engineering as applied to wind energy, and application of systems engineering approaches to wind energy research and development.

  5. Machine Vision Techniques for the Evaluation of Animal Behaviour

    E-Print Network [OSTI]

    Magee, Derek

    in accordance with the requirements for the degree of Doctor of Philosophy U NIVERS ITY OF LEEDS The University of Leeds School of Computing October 2000 The candidate confirms that the work submitted is his own would like to thank my colleagues in the Leeds Vision Group (past and present) for many stim- ulating

  6. Blinkered vision: Sources of opacity in inflectional paradigms Raphael Finkel

    E-Print Network [OSTI]

    Blinkered vision: Sources of opacity in inflectional paradigms Raphael Finkel & Gregory Stump University of Kentucky University of Kentucky raphael@cs.uky.edu gstump@uky.edu [Workshop on Information proposed a general measure of paradigm predictability. The formal definition of this measure is given in (2

  7. Plaque Brachytherapy for Uveal Melanoma: A Vision Prognostication Model

    SciTech Connect (OSTI)

    Khan, Niloufer [Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, Ohio (United States)] [Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, Ohio (United States); Khan, Mohammad K. [Department of Radiation Oncology, Emory University School of Medicine, Atlanta, Georgia (United States)] [Department of Radiation Oncology, Emory University School of Medicine, Atlanta, Georgia (United States); Bena, James [Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio (United States)] [Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio (United States); Macklis, Roger [Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, Ohio (United States)] [Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, Ohio (United States); Singh, Arun D., E-mail: singha@ccf.org [Department of Ophthalmic Oncology, Cole Eye Institute, Cleveland Clinic, Cleveland, Ohio (United States)

    2012-11-01

    Purpose: To generate a vision prognostication model after plaque brachytherapy for uveal melanoma. Methods and Materials: All patients with primary single ciliary body or choroidal melanoma treated with iodine-125 or ruthenium-106 plaque brachytherapy between January 1, 2005, and June 30, 2010, were included. The primary endpoint was loss of visual acuity. Only patients with initial visual acuity better than or equal to 20/50 were used to evaluate visual acuity worse than 20/50 at the end of the study, and only patients with initial visual acuity better than or equal to 20/200 were used to evaluate visual acuity worse than 20/200 at the end of the study. Factors analyzed were sex, age, cataracts, diabetes, tumor size (basal dimension and apical height), tumor location, and radiation dose to the tumor apex, fovea, and optic disc. Univariate and multivariable Cox proportional hazards were used to determine the influence of baseline patient factors on vision loss. Kaplan-Meier curves (log rank analysis) were used to estimate freedom from vision loss. Results: Of 189 patients, 92% (174) were alive as of February 1, 2011. At presentation, visual acuity was better than or equal to 20/50 and better than or equal to 20/200 in 108 and 173 patients, respectively. Of these patients, 44.4% (48) had post-treatment visual acuity of worse than 20/50 and 25.4% (44) had post-treatment visual acuity worse than 20/200. By multivariable analysis, increased age (hazard ratio [HR] of 1.01 [1.00-1.03], P=.05), increase in tumor height (HR of 1.35 [1.22-1.48], P<.001), and a greater total dose to the fovea (HR of 1.01 [1.00-1.01], P<.001) were predictive of vision loss. This information was used to develop a nomogram predictive of vision loss. Conclusions: By providing a means to predict vision loss at 3 years after treatment, our vision prognostication model can be an important tool for patient selection and treatment counseling.

  8. Type Ia Supernovae

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two Electron Holes in HematiteType Ia Supernovae Type Ia

  9. Agreement Type Union

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouthReporteeo | National Nucleara min [Type the abstract of theType

  10. Types of Lighting | Department of Energy

    Energy Savers [EERE]

    For a technical comparison of the different types of lighting, visit Energy Basics. External Resources Find a Lighting Designer - International Association of Lighting...

  11. Vision FL LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,Village of Wellington,FL LLC Jump to: navigation, search Name:

  12. Vision and Roadmap Documents | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-Sessions | Department ofVPV-SiteTestingOffice ofFirstDepartmentcombined heat and

  13. Workshop: Systems Integration Vision Challenges and Opportunities |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-Sessions |discussed how savingDepartment ofFinalCapitan As a follow up to

  14. Wind Vision Presentation | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0Photos andSeminarsDesign » DesignMayPresentation Wind

  15. Wind Vision Testimonials | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0Photos andSeminarsDesign » DesignMayPresentation

  16. The CASL vision is to confidently predict

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired Solar FuelTechnologyTel: Name: Rm. Tel:Test1 April 2000 Anroad to E x

  17. Microsoft Word - vision-spd.doc

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on77 PAGE OFDetection ofOctober10 Years2, 199926,4989BRDFImproved6

  18. DOE-ID Mission and Vision

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB Packet HanfordDOE Project TapsofofDoubleReading Room READING ROOMID

  19. Mission and Vision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy AEnergy Managing SwimmingMicrosoft Word1 2 - 2 0 1AERMOD-PRIME, Units

  20. New Vision Technologies Inc | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to: navigation,MeregNIFESpinningLtdElectric&Water

  1. Pure Energy Visions | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg,Energy LLCALLETE Inc dEAPrysmian JumpOpenformerlyDrop

  2. ICOS Vision Systems NV | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar2-0057-EA JumpDuimen RiverScoringUtilities Comm JumpImagingICF

  3. Sandia Energy » Vision/Mission

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-ThroughputUpcoming Release of the University of2013 DomeniciTwo Sandians

  4. Wind Vision Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAand Dalton Jump to: navigation, search Name: WilsonManagement

  5. strategic vision | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouthReporteeo | National Nuclear Securityhr |of energy |snl ||

  6. Accerelate Your Vision | Argonne Leadership Computing Facility

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory of raregovAboutRecovery Act Recovery ActARMAccelerators,

  7. OpenEI Community - Energy Visions Prize

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII Jump to:InformationInformationOorjaen The Energy Efficiency

  8. Vision for 2025: A Framework for Change

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OF APPLICABLEStatutoryinEnable LowNewsEnergyOrderEnergyAction Plan for

  9. Vision 2020 Progress ReportVision 2020 Progress Report GeosciencesGeosciences

    E-Print Network [OSTI]

    of GeosciencesGeosciences #12;Academic DepartmentsAcademic Departments · Atmospheric Sciences · Geography;Year 3Hydrogeologist (G&G, Assist) InterviewingWatershed processes/resources (GEOG, Full) InterviewingAtmospheric remote sensing (ATMO, Assist) Year 4Assistant: Surficial processes; water resources Year 3Environmental

  10. Microsoft Word - Whitepaper_The Modern Grid Vision_APPROVED_2009_06_18_DISCLAIMER.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on77 PAGE OFDetection ofOctober 28, 2014Wave Erosion LessonA Vision

  11. SunShot Vision Study: February 2012 (Book), SunShot, Energy Efficiency & Renewable Energy (EERE)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Financing ToolInternational Affairs, Before the CommitteeYearsCompetition RulesSunShot Vision11

  12. SunShot Vision Study: February 2012 (Book), SunShot, Energy Efficiency & Renewable Energy (EERE)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Financing ToolInternational Affairs, Before the CommitteeYearsCompetition RulesSunShot Vision111 1.

  13. SunShot Vision Study: February 2012 (Book), SunShot, Energy Efficiency & Renewable Energy (EERE)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Financing ToolInternational Affairs, Before the CommitteeYearsCompetition RulesSunShot Vision111

  14. SunShot Vision Study: February 2012 (Book), SunShot, Energy Efficiency & Renewable Energy (EERE)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Financing ToolInternational Affairs, Before the CommitteeYearsCompetition RulesSunShot Vision11141

  15. Using wastes as resources

    SciTech Connect (OSTI)

    Prakasam, T.B.S.; Lue-Hing, C. )

    1992-09-01

    The collection, treatment, and disposal of domestic and industrial wastewater, garbage, and other wastes present considerable problems in urban and semiurban areas of developing countries. Major benefits of using integrated treatment and resource recovery systems include waste stabilization, recovering energy as biogas, producing food from algae and fish, irrigation, improved public health, and aquatic weed control and use. Information and research are needed, however, to assesss the appropriateness, benefits, and limitations of such technology on a large scale. System configuration depends on the types and quantities of wastes available for processing. There must be enough collectable waste for the system to be viable. Information should be gathered to asses whether there is a net public health benefit by implementing a waste treatment and resource recovery system. Benefits such as savings in medical expenses and increased worker productivity due to improved health may be difficult to quantify. The potential health risks created by implementing a resource recovery system should be studied. The most difficult issues to contend with are socioeconomic in nature. Often, the poor performance of a proven technology is attributed to a lack of proper understanding of its principles by the operators, lack of community interest, improper operator training, and poor management. Public education to motivate people to accept technologies that are beneficial to them is important.

  16. Blood Types

    E-Print Network [OSTI]

    Hacker, Randi; Tsutsui, William

    2007-03-14

    Sox spent a hundred mil to acquire pitcher Daisuke Matsuzaka; they probably weren't even aware that he is a Type O and that they make the best bankers, politicians and... you guessed it... professional baseball players. #ceas #hacker #japan #tsutsuien...

  17. QoS-driven adaptive resource allocation for mobile wireless communications and networks 

    E-Print Network [OSTI]

    Tang, Jia

    2009-05-15

    , and cooperative relay systems and networks, respectively. In addition, we also investigate the impact of imperfect channel-state information (CSI) on QoS pro-visioning. The resource allocation problems can be solved e±ciently by the convex optimization approach...

  18. OSU Human Resources, 106 Whitehurst, Stillwater, Oklahoma 74078 (405) 744-5449 Oklahoma State University

    E-Print Network [OSTI]

    Veiga, Pedro Manuel Barbosa

    OSU Human Resources, 106 Whitehurst, Stillwater, Oklahoma 74078 ­ (405) 744-5449 Oklahoma State.okstate.edu osu-es@okstate.edu Dental/Vision Information EDS Services, Inc. P O Box 24870 Oklahoma City, OK 73124-0870 (800) 752-9475 Emeriti Association Oklahoma State University Conoco Philips Bldg.201 Suite 102

  19. International Border Management Systems (IBMS) Program : visions and strategies.

    SciTech Connect (OSTI)

    McDaniel, Michael; Mohagheghi, Amir Hossein

    2011-02-01

    Sandia National Laboratories (SNL), International Border Management Systems (IBMS) Program is working to establish a long-term border security strategy with United States Central Command (CENTCOM). Efforts are being made to synthesize border security capabilities and technologies maintained at the Laboratories, and coordinate with subject matter expertise from both the New Mexico and California offices. The vision for SNL is to provide science and technology support for international projects and engagements on border security.

  20. Markovian Energy-Based Computer Vision Algorithms on Graphics Hardware

    E-Print Network [OSTI]

    Mignotte, Max

    Markovian Energy-Based Computer Vision Algorithms on Graphics Hardware Pierre-Marc Jodoin, Max Mignotte, and Jean-Fran¸cois St-Amour Universit´e de Montr´eal, DIRO, P.O. Box 6128, Studio Centre-Ville, Montr´eal, Qu´ebec, H3C 3J7 {jodoinp, mignotte, stamourj}@iro.umontreal.ca Abstract. This paper shows

  1. Goethe's Vision of Natur during the Italian Journey 

    E-Print Network [OSTI]

    Ewing, John Paul

    2011-02-22

    with this idea of transformation (rather than the gradual development with which I am concerned in this project) and the literary context of the journey to be of use in this inquiry of the intellectual and natural concerns of the current project. Taking cue... Subject: Comparative Literature and Culture ii GOETHE?S VISION OF NATUR DURING THE ITALIAN JOURNEY A Thesis by JOHN PAUL EWING Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment...

  2. SunShot Vision Study: February 2012 (Book)

    SciTech Connect (OSTI)

    Not Available

    2012-02-01

    The objective of the SunShot Vision Study is to provide an in-depth assessment of the potential for solar technologies to meet a significant share of electricity demand in the United States during the next several decades. Specifically, it explores a future in which the price of solar technologies declines by about 75% between 2010 and 2020 - in line with the U.S. Department of Energy (DOE) SunShot Initiative's targets.

  3. Derived Types What Are Derived Types?

    E-Print Network [OSTI]

    Collett Jr., Jeffrey L.

    Derived Types #12;What Are Derived Types? As usual, a hybrid of two, unrelated concepts C++, Python orientation comes in #12;Simple Derived Types TYPE Wheel INTEGER :: spokes REAL :: diameter, width CHARACTER(LEN=15) :: material END TYPE Wheel That defines a derived type Wheel Using derived types needs a special

  4. Derived Types What Are Derived Types?

    E-Print Network [OSTI]

    Collett Jr., Jeffrey L.

    Derived Types #12;What Are Derived Types? As usual, a hybrid of two, unrelated concepts C object orientation comes in This course will only describe the former. #12;Simple Derived Types TYPE That defines a derived type Wheel Using derived types needs a special syntax TYPE(Wheel) :: w1 #12;More

  5. Award Types

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O DBiomass andAtomsVehicles and Fuels Site MapW W W

  6. Facility Type!

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouth DakotaRobbins and Myers CoMadisonAMOCOELIkNATION ;. ./I .ITY:

  7. 1 Environmental Resource Policy ENVIRONMENTAL RESOURCE

    E-Print Network [OSTI]

    Vertes, Akos

    1 Environmental Resource Policy ENVIRONMENTAL RESOURCE POLICY GRADUATE Master's program · Master of Arts in the field of environmental resource policy (http://bulletin.gwu.edu/arts-sciences/environmental CERTIFICATE · Graduate certificate in contexts of environmental policy (http://bulletin.gwu.edu/arts-sciences/environmental

  8. SunShot Vision Study: February 2012 (Book), SunShot, Energy Efficiency...

    Office of Environmental Management (EM)

    the potential of solar technologies to convert available sunlight into electricity and thermal energy. 47927chapter2.pdf More Documents & Publications SunShot Vision Study:...

  9. ITP Aluminum: Aluminum Industry Vision: Sustainable Solutions for a Dynamic World

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Aluminum Vision is intended to stimulate a wide variety of R&D activities to accelerate technology development throughout industry.

  10. Wind Program: A New Vision for U.S. Wind Power

    SciTech Connect (OSTI)

    2013-05-07

    A link to the New Vision for U.S. Wind Power Web page, which enables stakeholders to provide input on the direction of the wind industry.

  11. An Evaluation of the Collaboration Towards Ecosystem Objectives and a Watershed Vision

    E-Print Network [OSTI]

    #12;An Evaluation of the Collaboration Towards Ecosystem Objectives and a Watershed Vision ....................................................................................................7 3.1 Social and Economic Profile ...........................................................8 4.0 Case Study Evaluation

  12. SunShot Vision Study: February 2012 (Book), SunShot, Energy Efficiency...

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

    Renewable Energy (EERE) Chapter Four of the SunShot Vision Study evaluates the current price and performance of photovoltaic technologies. Price projections representing...

  13. PRISE: petroleum resource investigation summary and evaluation 

    E-Print Network [OSTI]

    Old, Sara

    2008-10-10

    , or exploratory, basins. The method was based on quantitative relations between known conventional and unconventional hydrocarbon resource types in mature U.S. basins. To develop the methodology to estimate resource volumes, we used data from the U.S. Geological...

  14. Hydrogen Separation Membranes for Vision 21 Fossil Fuel Plants

    SciTech Connect (OSTI)

    Roark, Shane E.; Mackay, Richard; Sammells, Anthony F.

    2001-11-06

    Eltron Research and team members CoorsTek, McDermott Technology, Sued Chemie, Argonne National Laboratory, and Oak Ridge National Laboratory are developing an environmentally benign, inexpensive, and efficient method for separating hydrogen from gas mixtures produced during industrial processes, such as coal gasification. This objective is being pursued using dense membranes based in part on Eltron-patented ceramic materials with a demonstrated ability for proton and electron conduction. The technical goals are being addressed by modifying single-phase and composite membrane composition and microstructure to maximize proton and electron conductivity without loss of material stability. Ultimately, these materials must enable hydrogen separation at practical rates under ambient and high-pressure conditions, without deactivation in the presence of feedstream components such as carbon dioxide, water, and sulfur. This project was motivated by the Department of Energy (DOE) National Energy Technology Laboratory (NETL) Vision 21 initiative which seeks to economically eliminate environmental concerns associated with the use of fossil fuels. The proposed technology addresses the DOE Vision 21 initiative in two ways. First, this process offers a relatively inexpensive solution for pure hydrogen separation that can be easily incorporated into Vision 21 fossil fuel plants. Second, this process could reduce the cost of hydrogen, which is a clean burning fuel under increasing demand as supporting technologies are developed for hydrogen utilization and storage. Additional motivation for this project arises from the potential of this technology for other applications. By appropriately changing the catalysts coupled with the membrane, essentially the same system can be used to facilitate alkane dehydrogenation and coupling, aromatics processing, and hydrogen sulfide decomposition.

  15. Future Vision for Instrumentation, Information and Control Modernization

    SciTech Connect (OSTI)

    Ken D. Thomas

    2012-05-01

    A Future Vision of a transformed nuclear plant operating model based on an integrated digital environment has been developed as part of the Advanced Instrumentation, Information, and Control (II&C) research pathway, under the Light Water Reactor (LWR) Sustainability Program. This is a research and development program sponsored by the U.S. Department of Energy (DOE), performed in close collaboration with the nuclear utility industry, to provide the technical foundations for licensing and managing the long-term, safe and economical operation of current nuclear power plants. II&C has been identified as a potential life-limiting issue for the domestic LWR fleet in addressing the reliability and aging concerns of the legacy systems in service today. The Future Vision is based on a digital architecture that encompasses all aspects of plant operations and support, integrating plant systems, plant work processes, and plant workers in a seamless digital environment to enhance nuclear safety, increase productivity, and improve overall plant performance. Pilot projects are being conducted as the means for industry to gain confidence in these new technologies for use in nuclear plant work activities. The pilot projects introduce new digital technologies into the nuclear plant operating environment at host operating plants to demonstrate and validate them for production usage. In turn, the pilot project technologies serve as the stepping stones to the eventual seamless digital environment as described in the Future Vision. Initial project results confirm that the technologies can address provide substantial efficiency and human performance benefits while resolving the reliability and aging concerns.

  16. ADVANCED HYDROGEN TRANSPORT MEMBRANES FOR VISION 21 FOSSIL FUEL PLANTS

    SciTech Connect (OSTI)

    Carl R. Evenson; Anthony F. Sammells; Richard T. Treglio; Jim Fisher; U. Balachandran; Richard N. Kleiner; James E. Stephan; Frank E. Anderson; Chandra Ratnasamy; Mahendra Sunkara; Jyothish Thangla; Clive Brereton; Warren Wolfs; James Lockhart

    2005-01-28

    During this quarter work was continued on characterizing the stability of layered composite membranes under a variety of conditions. Membrane permeation was tested up to 100 hours at constant pressure, temperature, and flow rates. In addition, design parameters were completed for a scale-up hydrogen separation demonstration unit. Evaluation of microstructure and effect of hydrogen exposure on BCY/Ni cermet mechanical properties was initiated. The fabrication of new cermets containing high permeability metals is reported and progress in the preparation of sulfur resistant catalysts is discussed. Finally, a report entitled ''Criteria for Incorporating Eltron's Hydrogen Separation Membranes into Vision 21 IGCC Systems and FutureGen Plants'' was completed.

  17. Distributed Newton-type algorithms for network resource allocation

    E-Print Network [OSTI]

    Wei, Ermin

    2010-01-01

    Most of today's communication networks are large-scale and comprise of agents with local information and heterogeneous preferences, making centralized control and coordination impractical. This motivated much interest in ...

  18. Conservation Conservation ResourcesConservation Resources

    E-Print Network [OSTI]

    sequestration,, coal gasification, carbon sequestration, energy storage, highenergy storage, highConfirm cost & availability of promising resources ­­ Oil sandsOil sands cogencogen, coal gasification, carbon

  19. Resources | Jefferson Lab

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

    Resources Resources Machine Control Center Display Jefferson Lab's accelerator is operated from the Machine Control Center. The MCC features a full-wall display that allows...

  20. Jefferson Lab Human Resources

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

    Human Resources The Human Resources team is fully integrated with Jefferson Lab's mission, committed to providing quality customer service based on expertise, innovation and...

  1. Solar Resource Assessment

    Broader source: Energy.gov [DOE]

    DOE solar resource research focuses on understanding historical solar resource patterns and making future predictions, both of which are needed to support reliable power system operation. As solar...

  2. Wind Vision Chapter 4: The Wind Vision Roadmap: A Pathway Forward

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematics And Statistics » USAJobs SearchAMERICA'S FUTURE.ProjectsLeaders |3 0 0 N S T R EDepartment1 2

  3. Group Vision Care Plan Vision Care for Life EVIDENCE OF COVERAGE

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journalvivo Low-Dose Lowď‚— WeUpdate Jon Peschong Richland5 EOC NM 03/02

  4. Group Vision Care Policy Vision Care for Life EVIDENCE OF COVERAGE

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journalvivo Low-Dose Lowď‚— WeUpdate Jon Peschong Richland5 EOC NM

  5. STUDY TYPES What is a "Study Type"?

    E-Print Network [OSTI]

    Dorf, Martin E.

    #12;STUDY TYPES What is a "Study Type"? A Study Type is a defined business process. Study Types work together to streamline workflow, track data & keep users informed. There are 2 Study Types in eCOMS: COMS and IACUC. The COMS Study: The COMS Study is an online form that a Principal Investigator fills

  6. Electric Power Generation from Low-Temperature Geothermal Resources...

    Open Energy Info (EERE)

    1 Recovery Act: Geothermal Technologies Program Project Type Topic 2 Geothermal Energy Production from Low Temperature Resources, Coproduced Fluids from Oil and Gas Wells, and...

  7. Consumer Light Bulb Changes: Briefing and Resources for Media...

    Office of Environmental Management (EM)

    background information on the new legislation and the types of energy-efficient lighting available today. Consumer Light Bulb Changes: Briefing and Resources for Media and...

  8. VISION -- A Dynamic Model of the Nuclear Fuel Cycle

    SciTech Connect (OSTI)

    J. J. Jacobson; A. M. Yacout; S. J. Piet; D. E. Shropshire; G. E. Matthern

    2006-02-01

    The Advanced Fuel Cycle Initiative’s (AFCI) fundamental objective is to provide technology options that – if implemented – would enable long-term growth of nuclear power while improving sustainability and energy security. The AFCI organization structure consists of four areas; Systems Analysis, Fuels, Separations and Transmutations. The Systems Analysis Working Group is tasked with bridging the program technical areas and providing the models, tools, and analyses required to assess the feasibility of design and deploy¬ment options and inform key decision makers. An integral part of the Systems Analysis tool set is the development of a system level model that can be used to examine the implications of the different mixes of reactors, implications of fuel reprocessing, impact of deployment technologies, as well as potential “exit” or “off ramp” approaches to phase out technologies, waste management issues and long-term repository needs. The Verifiable Fuel Cycle Simulation Model (VISION) is a computer-based simulation model that allows performing dynamic simulations of fuel cycles to quantify infrastructure requirements and identify key trade-offs between alternatives. VISION is intended to serve as a broad systems analysis and study tool applicable to work conducted as part of the AFCI (including costs estimates) and Generation IV reactor development studies.

  9. Proc 3rd European Conf on Computer Vision, Stockholm, 1994,pp 85-96 1 Proc 3rd European Conf on Computer Vision, Stockholm, 1994,pp 85-96 2

    E-Print Network [OSTI]

    Murray, David

    Proc 3rd European Conf on Computer Vision, Stockholm, 1994,pp 85-96 1 #12;Proc 3rd European Conf on Computer Vision, Stockholm, 1994,pp 85-96 2 #12;Proc 3rd European Conf on Computer Vision, Stockholm, 1994,pp 85-96 3 #12;Proc 3rd European Conf on Computer Vision, Stockholm, 1994,pp 85-96 4 #12;Proc 3rd

  10. Head-mounted mobility aid for low vision using scene classification techniques M R Everingham1

    E-Print Network [OSTI]

    Everingham, Mark

    Head-mounted mobility aid for low vision using scene classification techniques M R Everingham1 , B by over 100% using the system. Keywords: Low Vision, Mobility Aids, Head Mounted Display, Object-network classifier is used to identify objects in images from a head mounted camera so that scene content

  11. ENERGY ISSUES WORKING GROUP ON LONG-TERM VISIONS FOR FUSION POWER

    E-Print Network [OSTI]

    Najmabadi, Farrokh

    ENERGY ISSUES WORKING GROUP ON LONG-TERM VISIONS FOR FUSION POWER Don Steiner, Jeffrey Freidberg Farrokh Najmabadi William Nevins , and John Perkins The Energy Issues Working Group on Long-Term Visions energy production in the next century? 2. What is fusion's potential for penetrating the energy market

  12. Automated Tuning of a Vision-based Inspection System for Industrial Food Manufacturing

    E-Print Network [OSTI]

    Payeur, Pierre

    Automated Tuning of a Vision-based Inspection System for Industrial Food Manufacturing Mai Moussa. INTRODUCTION For several years, the food industry has adopted automated vision-based inspection systems Ottawa, Canada [m.chetima, ppayeur]@uottawa.ca Abstract--Quality control in industrial food manufacturing

  13. Computer Modeling and Simulation of an Active Vision Camera System MingChin Lu

    E-Print Network [OSTI]

    Subbarao, Murali "Rao"

    Computer Modeling and Simulation of an Active Vision Camera System Ming­Chin Lu Communications of computer simulation systems. Computer simulation avoids the necessity of building actual camera systems. Based on the proposed model and algorithms, a computer simulation system called Active Vision Simulator

  14. A Logic of Vision Jaap van der Does and Michiel van Lambalgen1

    E-Print Network [OSTI]

    Amsterdam, University of

    ? These are the main questions we will address in the present essay. Inspired by Marr 1982, we shall argue of logico-semantical tech- niques. The logic proposed is abstracted from Marr's cognitive theory of vision, whence the name: logic of vision. Implicit in Marr's theory is a notion of partiality as lack

  15. Seeing differently... Optogenetics, holography, and vision restoration Lecturer: Inna Reutsky-Gefen

    E-Print Network [OSTI]

    Seeing differently... Optogenetics, holography, and vision restoration Lecturer: Inna Reutsky-electrode arrays might restore basic vision. Such implants electrically stimulate the retinal ganglion cells, just limitations. In this lecture I will present a non-invasive alternative to artificial stimulation

  16. "In Vivo" Pose Estimation of Artificial Knee Implants Using Computer Vision

    E-Print Network [OSTI]

    Hoff, William A.

    "In Vivo" Pose Estimation of Artificial Knee Implants Using Computer Vision Scott A. Walker William an algorithm to estimate the position and orientation (pose) of artificial knee implants from fluoroscopy images using computer vision. The resulting information is used to determine contact position from "in

  17. Vision in Bad Weather Shree K. Nayar and Srinivasa G. Narasimhan

    E-Print Network [OSTI]

    Nayar, Shree K.

    Vision in Bad Weather Shree K. Nayar and Srinivasa G. Narasimhan Department of Computer Science vision systems are designed to perform in clear weather. Needless to say, in any outdoor application, there is no escape from "bad" weather. Ultimately, computer vi- sion systems must include mechanisms that enable them

  18. Agenda 2020: A Technology Vision and Research Agenda for America's Forest, Wood and Paper Industry

    SciTech Connect (OSTI)

    none,

    1994-11-01

    In November 1994, the forest products industry published Agenda 2020: A Technology Vision and Research Agenda for America's Forest, Wood and Paper Industry, which articulated the industry's vision. This document set the foundation for collaborative efforts between the industry and the federal government.

  19. To appear in Information Processing & Management. The VISION Digital Video Library1

    E-Print Network [OSTI]

    Kansas, University of

    To appear in Information Processing & Management. - 1 - The VISION Digital Video Library1 Susan for a comprehensive, on-line digital video library. We have developed automatic mechanisms to populate the library of varying bandwidths. 1This paper is a revised version of "VISION: A Digital Video Library System," W. Li, S

  20. Merguerian, Charles, 1986a, Tunnel vision -A deep view of the bedrock geology of New York City (NYC).

    E-Print Network [OSTI]

    Merguerian, Charles

    Merguerian, Charles, 1986a, Tunnel vision - A deep view of the bedrock geology of New York City This Abstract: Merguerian, Charles, 1986a, Tunnel vision - A deep view of the bedrock geology of New York City

  1. VisionRes.,Vol.37,No.12,pp.16831698,1997 @1997ElsevierScienceLtd.AUrightsreserved

    E-Print Network [OSTI]

    Qian, Ning

    & Yuille, 1990) and stereo vision (Marr & Poggio, 1976; Marr & Poggio, 1979; Prazdny,1985;Pollardet al vision can be formulated as solving a correspondenceproblem (see Marr, 1982, for example), this obser

  2. The aviator's (re)vision of the world : an aesthetics of ascension in Norman Bel Geddes's Futurama

    E-Print Network [OSTI]

    Morshed, Adnan Zillur

    2002-01-01

    This dissertation considers a new ontology of vision brought on by the advent of human flight. It focuses on the project that best reflects this new vision: the Futurama, an exhibit designed by the American industrial ...

  3. In: Perceptual Organization for Artificial Vision Systems, K. Boyer and S. Sarkar, Eds., Kluwer Academic, Boston, 2000

    E-Print Network [OSTI]

    August, Jonas

    In: Perceptual Organization for Artificial Vision Systems, K. Boyer and S. Sarkar, Eds., Kluwer in computer vision began to formalize this in the 1970's, with models of orientation good continuation based

  4. The Purdue Water Community Strategic Plan for 2011-2016 Interdisciplinary solutions for sustainable global and regional water resource

    E-Print Network [OSTI]

    The Purdue Water Community Strategic Plan for 2011-2016 Interdisciplinary solutions for sustainable global and regional water resource Vision The Purdue Water Community (PWC) is a vibrant, interconnected information focused on solving global and regional water challenges. Mission The Purdue Water Community

  5. Solar and Wind Energy Resource Assessment (SWERA) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing Capacity forSilicium deEnergyCompany Limited SPCSolarVision JumpWorld

  6. A tiltable microplatform for adaptive artificial vision applica-tions has been demonstrated that utilizes special bent-beam electro-

    E-Print Network [OSTI]

    Nguyen, Clark T.-C.

    1 of 4 ABSTRACT A tiltable microplatform for adaptive artificial vision applica- tions has been, artificial vision, tilt angle, low voltage I. INTRODUCTION In the wake of rapid advancements in optical MEMS application, for which this work is specifi- cally targeted, is the adaptive artificial vision system depicted

  7. A Vision System for Providing 3D Perception of the Environment via Transcutaneous Electro-Neural Stimulation

    E-Print Network [OSTI]

    Ward, Koren

    of previous work done on artificial or substitute vision sys- tems for the blind. In Section 3 we provide. Background Bionic vision in the form of artificial silicon retinas or external cameras that stimulateA Vision System for Providing 3D Perception of the Environment via Transcutaneous Electro

  8. International Journal of Computer Vision 38(1), 57, 2000 c 2000 Kluwer Academic Publishers. Manufactured in The Netherlands.

    E-Print Network [OSTI]

    Poggio, Tomaso

    is also becoming a key to the study of artificial and biological vision. In the last few years bothInternational Journal of Computer Vision 38(1), 5­7, 2000 c 2000 Kluwer Academic Publishers. Manufactured in The Netherlands. Introduction: Learning and Vision at CBCL TOMASO POGGIO AND ALESSANDRO VERRI

  9. A neural network based artificial vision system for licence plate recognition Sorin Draghici, Dept. of Computer Science, Wayne State University,

    E-Print Network [OSTI]

    Draghici, Sorin

    A neural network based artificial vision system for licence plate recognition Sorin Draghici, Dept based artificial vision system able to analyse the image of a car given by a camera, locate plate, real-world application #12;A neural network based artificial vision system for licence plate

  10. 393IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 41, NO. 3, MARCH 1996 Motion Estimation via Dynamic Vision

    E-Print Network [OSTI]

    Soatto, Stefano

    Vision Stefano Soatto, Student Member, IEEE, Ruggero Frezza, Member, IEEE, and Pietro Perona, Member of the principal goals of artificial intelligence, starting from the early 1970's, to build machines that recognize, such as autonomous vehicle navigation [18]-[20], vision-based tracking and servo [12], 1211, 1421, [44], vision

  11. doi: 10.1111/j.1365-2796.2011.02491.x A vision for a biomedical cloud

    E-Print Network [OSTI]

    Grossman, Robert

    doi: 10.1111/j.1365-2796.2011.02491.x A vision for a biomedical cloud R. L. Grossman1,2 & K. P of Chicago, Chicago) A vision for a biomedical cloud (Key Symposium). JInternMed2012; 271: 122­130. We present a vision for a Biomedical Cloud that draws on progress in the fields of Genomics, Systems Biology

  12. ADVANCED HYDROGEN TRANSPORT MEMBRANES FOR VISION 21 FOSSIL FUEL PLANTS

    SciTech Connect (OSTI)

    Shane E. Roark; Tony F. Sammells; Adam Calihman; Andy Girard; Pamela M. Van Calcar; Richard Mackay; Tom Barton; Sara Rolfe

    2001-01-30

    Eltron Research Inc., and team members CoorsTek, McDermott Technology, Inc., Sued Chemie, Argonne National Laboratory, and Oak Ridge National Laboratory are developing an environmentally benign, inexpensive, and efficient method for separating hydrogen from gas mixtures produced during industrial processes, such as coal gasification. This objective is being pursued using dense membranes based in part on Eltron-patented ceramic materials with a demonstrated ability for proton and electron conduction. The technical goals are being addressed by modifying single-phase and composite membrane composition and microstructure to maximize proton and electron conductivity without loss of material stability. Ultimately, these materials must enable hydrogen separation at practical rates under ambient and high-pressure conditions, without deactivation in the presence of feedstream components such as carbon dioxide, water, and sulfur. This project was motivated by the National Energy Technology Laboratory (NETL) Vision 21 initiative which seeks to economically eliminate environmental concerns associated with the use of fossil fuels. The proposed technology addresses the DOE Vision 21 initiative in two ways. First, this process offers a relatively inexpensive solution for pure hydrogen separation that can be easily incorporated into Vision 21 fossil fuel plants. Second, this process could reduce the cost of hydrogen, which is a clean burning fuel under increasing demand as supporting technologies are developed for hydrogen utilization and storage. Additional motivation for this project arises from the potential of this technology for other applications. Membranes testing during this reporting period were greater than 1 mm thick and had the general perovskite composition AB{sub 1-x}B'{sub x}O{sub 3-{delta}}, where 0.05 {<=} x {<=} 0.3. These materials demonstrated hydrogen separation rates between 1 and 2 mL/min/cm{sup 2}, which represents roughly 20% of the target goal for membranes of this thickness. The sintered membranes were greater than 95% dense, but the phase purity decreased with increasing dopant concentration. The quantity of dopant incorporated into the perovskite phase was roughly constant, with excess dopant forming an additional phase. Composite materials with distinct ceramic and metallic phases, and thin film perovskites (100 {micro}m) also were successfully prepared, but have not yet been tested for hydrogen transport. Finally, porous platinum was identified as a excellent catalyst for evaluation of membrane materials, however, lower cost nickel catalyst systems are being developed.

  13. Unconventional Oil and Gas Resources

    SciTech Connect (OSTI)

    2006-09-15

    World oil use is projected to grow to 98 million b/d in 2015 and 118 million b/d in 2030. Total world natural gas consumption is projected to rise to 134 Tcf in 2015 and 182 Tcf in 2030. In an era of declining production and increasing demand, economically producing oil and gas from unconventional sources is a key challenge to maintaining global economic growth. Some unconventional hydrocarbon sources are already being developed, including gas shales, tight gas sands, heavy oil, oil sands, and coal bed methane. Roughly 20 years ago, gas production from tight sands, shales, and coals was considered uneconomic. Today, these resources provide 25% of the U.S. gas supply and that number is likely to increase. Venezuela has over 300 billion barrels of unproven extra-heavy oil reserves which would give it the largest reserves of any country in the world. It is currently producing over 550,000 b/d of heavy oil. Unconventional oil is also being produced in Canada from the Athabasca oil sands. 1.6 trillion barrels of oil are locked in the sands of which 175 billion barrels are proven reserves that can be recovered using current technology. Production from 29 companies now operating there exceeds 1 million barrels per day. The report provides an overview of continuous petroleum sources and gives a concise overview of the current status of varying types of unconventional oil and gas resources. Topics covered in the report include: an overview of the history of Oil and Natural Gas; an analysis of the Oil and Natural Gas industries, including current and future production, consumption, and reserves; a detailed description of the different types of unconventional oil and gas resources; an analysis of the key business factors that are driving the increased interest in unconventional resources; an analysis of the barriers that are hindering the development of unconventional resources; profiles of key producing regions; and, profiles of key unconventional oil and gas producers.

  14. Future Intelligent Power Grids: Analysis of the vision in the European Union and the United States

    SciTech Connect (OSTI)

    Coll-Mayor, Debora; Paget, Mia L.; Lightner, Eric M.

    2007-04-01

    The future of power grids is expected to involve an increasing level of intelligence and integration of new information and communication technologies in every aspect of the electricity system, from demand-side devices to wide-scale distributed generation to a variety of energy markets. This paper provides a general outlook of the definition of this future in the U.S. and the European Union and compares two approaches—GridWiseTM and SmartGrid. It describes the contexts in both the worlds, as they influence the two visions of the future intelligent power grid, and as they form foundations at each respective federal level for supporting research in this field. The similarities and complementarities of the two research programs are examined. Within the framework of a solid precedence for trans-Atlantic cooperation in energy research, the time would seem optimal to set in motion active collaboration and educational exchange on GridWise and SmartGrid research. This paper will help energy policy makers to better understand the key issues determining the two different approaches and the two different policies derived from them; as well as a comparison of the solution provided in each case. This work will also be useful for researchers and industry decision makers to be aware of trans-Atlantic approaches, opportunities, and resources looking toward future, more intelligent and interconnected power grids.

  15. ADVANCED HYDROGEN TRANSPORT MEMBRANES FOR VISION 21 FOSSIL FUEL PLANTS

    SciTech Connect (OSTI)

    Shane E. Roark; Anthony F. Sammells; Richard A. Mackay; Lyrik Y. Pitzman; Thomas A. Zirbel; Thomas F. Barton; Sara L. Rolfe; U. (Balu) Balachandran; Richard N. Kleiner; James E. Stephan; Frank E. Anderson; George Farthing; Dan Rowley; Tim R. Armstrong; R.D. Carneim; P.F. Becher; C-H. Hsueh; Aaron L. Wagner; Jon P. Wagner

    2002-04-30

    Eltron Research Inc., and team members CoorsTek, McDermott Technology, inc., Sued Chemie, Argonne National Laboratory, and Oak Ridge National Laboratory are developing an environmentally benign, inexpensive, and efficient method for separating hydrogen from gas mixtures produced during industrial processes, such as coal gasification. This project was motivated by the National Energy Technology Laboratory (NETL) Vision 21 initiative which seeks to economically eliminate environmental concerns associated with the use of fossil fuels. This objective is being pursued using dense membranes based in part on Eltron-patented ceramic materials with a demonstrated ability for proton and electron conduction. The technical goals are being addressed by modifying single-phase and composite membrane composition and microstructure to maximize proton and electron conductivity without loss of material stability. Ultimately, these materials must enable hydrogen separation at practical rates under ambient and high-pressure conditions, without deactivation in the presence of feedstream components such as carbon dioxide, water, and sulfur.

  16. Multi-Projector Color Structured-Light Vision

    E-Print Network [OSTI]

    Je, Changsoo; Lee, Sang Wook

    2015-01-01

    Research interest in rapid structured-light imaging has grown increasingly for the modeling of moving objects, and a number of methods have been suggested for the range capture in a single video frame. The imaging area of a 3D object using a single projector is restricted since the structured light is projected only onto a limited area of the object surface. Employing additional projectors to broaden the imaging area is a challenging problem since simultaneous projection of multiple patterns results in their superposition in the light-intersected areas and the recognition of original patterns is by no means trivial. This paper presents a novel method of multi-projector color structured-light vision based on projector-camera triangulation. By analyzing the behavior of superposed-light colors in a chromaticity domain, we show that the original light colors cannot be properly extracted by the conventional direct estimation. We disambiguate multiple projectors by multiplexing the orientations of projector pattern...

  17. Sensitivity of Utility-Scale Solar Deployment Projections in the SunShot Vision Study to Market and Performance Assumptions

    SciTech Connect (OSTI)

    Eurek, K.; Denholm, P.; Margolis, R.; Mowers, M.

    2013-04-01

    The SunShot Vision Study explored the potential growth of solar markets if solar prices decreased by about 75% from 2010 to 2020. The ReEDS model was used to simulate utility PV and CSP deployment for this present study, based on several market and performance assumptions - electricity demand, natural gas prices, coal retirements, cost and performance of non-solar renewable technologies, PV resource variability, distributed PV deployment, and solar market supply growth - in addition to the SunShot solar price projections. This study finds that utility-scale solar deployment is highly sensitive to solar prices. Other factors can have significant impacts, particularly electricity demand and natural gas prices.

  18. Department Head Resource Portal

    E-Print Network [OSTI]

    Salvaggio, Carl

    1 Department Head Resource Portal CREATING DEPARTMENT GOALS A goal is a condition we envision;2 Department Head Resource Portal NO DO YOU HAVE IT? YES ffff Achieve Preserve Avoid Eliminate NO DO YOU HAVE

  19. Pathway and Resource Overview

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

    using the Macro-System Model (MSM) * Resource and pathway analysis using the Hydrogen Demand and Resource Analysis Tool (HyDRA) * Status of water-electrolysis technology 2...

  20. Solar Resource Assessment

    SciTech Connect (OSTI)

    Renne, D.; George, R.; Wilcox, S.; Stoffel, T.; Myers, D.; Heimiller, D.

    2008-02-01

    This report covers the solar resource assessment aspects of the Renewable Systems Interconnection study. The status of solar resource assessment in the United States is described, and summaries of the availability of modeled data sets are provided.

  1. Hydrothermal Resources Fact Sheet

    SciTech Connect (OSTI)

    U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy

    2012-08-31

    This two-page fact sheet provides an overview of hydrothermal resources and hydrothermal reservoir creation and operation.

  2. Business Planning Resources

    Broader source: Energy.gov [DOE]

    Business Planning Resources, a presentation of the U.S. Department of Energy's Better Buildings Neighborhood Program.

  3. Sandia Energy - Solar Resource Assessment

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

    Solar Resource Assessment Home Stationary Power Energy Conversion Efficiency Solar Energy Photovoltaics Solar Resource Assessment Solar Resource AssessmentTara...

  4. Assignment Types UTS LIBRARY

    E-Print Network [OSTI]

    University of Technology, Sydney

    Assignment Types UTS LIBRARY February 2013 Academic Writing Guide Part 2 ­ Assignment Types: This section outlines the basic types of written assignments, providing structural elements and examples. #12;2 II. Assignment Types 1. Essay Writing

  5. RESOURCE DIRECTORY Students, Staff

    E-Print Network [OSTI]

    COMMUNITY RESOURCE DIRECTORY For MSU Students, Staff and Faculty #12;April 2010 Dear Colleague: I am pleased to provide you with the enclosed copy of a new Community Resource Directory recently updated by the MSU Family Resource Center (FRC). In these difficult economic times, some MSU employees

  6. Department Head Resource Portal

    E-Print Network [OSTI]

    Salvaggio, Carl

    1 Department Head Resource Portal NEW EMPLOYEE CHECKLIST New Staff Member Name: Department: Start Appearance expectations (e.g., business casual) #12;2 Department Head Resource Portal First Day Prep://myinfo.rit.edu (pay stub, benefits info, emergency contact, etc) Emergency exits #12;3 Department Head Resource Portal

  7. Energy Efficient Radio Resource

    E-Print Network [OSTI]

    Yanikomeroglu, Halim

    Energy Efficient Radio Resource Management in a Coordinated Multi-Cell Distributed Antenna System Hacettepe University 5 September 2014 Omer HALILOGLU (Hacettepe University) Energy Efficient Radio Resource mobility , 1 Gb/s at high mobility). Omer HALILOGLU (Hacettepe University) Energy Efficient Radio Resource

  8. environmental and resource

    E-Print Network [OSTI]

    environmental and resource management the polytechnic school innovation.asu.edu #12;undergraduate degree program B.S., environmental and resource management an optional accelerated program offers high The bachelor of science in Environmental and Resource Management (ERM) provides students the critical

  9. Impacts of Shewanella oneidensis c-type cytochromes on aerobic...

    Office of Scientific and Technical Information (OSTI)

    Number: AC05-76RL01830 Resource Type: Journal Article Resource Relation: Journal Name: Microbial Biotechnology, 3(4):455-466; Journal Volume: 3; Journal Issue: 4 Research Org:...

  10. Play Type Recognition in Real-World Football Video Sheng Chen, Zhongyuan Feng, Qingkai Lu, Behrooz Mahasseni, Trevor Fiez

    E-Print Network [OSTI]

    Play Type Recognition in Real-World Football Video Sheng Chen, Zhongyuan Feng, Qingkai Lu, Behrooz a vision system for recognizing the sequence of plays in amateur videos of American football games (e, and professional football teams. Recognizing football plays is particularly challeng- ing in the context

  11. A Typed Operational Semantics for Type Theory 

    E-Print Network [OSTI]

    Goguen, Healfdene

    Untyped reduction provides a natural operational semantics for type theory. Normalization results say that such a semantics is sound. However, this reduction does not take type information into account and gives no information ...

  12. Vision based navigation system for autonomous proximity operations: an experimental and analytical study 

    E-Print Network [OSTI]

    Du, Ju-Young

    2005-02-17

    This dissertation presents an experimental and analytical study of the Vision Based Navigation system (VisNav). VisNav is a novel intelligent optical sensor system invented by Texas A&M University recently for autonomous proximity operations...

  13. 9.71 Functional MRI of High-Level Vision, Fall 2004

    E-Print Network [OSTI]

    Kanwisher, Nancy

    Covers the basics of fMRI, the strengths and limitations of fMRI compared to other techniques, and the design and analysis of fMRI experiments, focusing primarily on experiments on high-level vision. Upon completion, ...

  14. 9.913-C Pattern Recognition for Machine Vision, Spring 2002

    E-Print Network [OSTI]

    Poggio, Tomaso

    The course is directed towards advanced undergraduate and beginning graduate students. It will focus on applications of pattern recognition techniques to problems of machine vision. The topics covered in the course include: ...

  15. TOWARDS A UNIFIED THEORY OF NEOCORTEX: Laminar Cortical Circuits for Vision and Cognition

    E-Print Network [OSTI]

    Grossberg, Stephen

    TOWARDS A UNIFIED THEORY OF NEOCORTEX: Laminar Cortical Circuits for Vision and Cognition Stephen laminar neocortical circuits give rise to biological intelligence. These circuits embody two new and revolutionary computational paradigms: Complementary Computing and Laminar Computing. Circuit properties include

  16. Driver mental workload requirements on horizontal curves based on occluded vision test measurements 

    E-Print Network [OSTI]

    Shafer, Mark Anthony

    1994-01-01

    This thesis documents an evaluation of driver mental workload requirements on horizontal curves based on occluded vision test measurements. Driver workload is an important concept in the design of highway systems. A ...

  17. Notes on practical photometry for image sensor and vision sensor developers

    E-Print Network [OSTI]

    Delbruck, Tobi

    Notes on practical photometry for image sensor and vision sensor developers T. Delbruck, Inst you ask? Photometry units The basic photometric quantity is a lumen (lm), which is a certain quantity

  18. Toward Robot Perception through Omnidirectional Vision Jose Gaspar, Niall Winters, Etienne Grossmann, Jose Santos-Victor

    E-Print Network [OSTI]

    Instituto de Sistemas e Robotica

    ´ecnico, Sugar House Lane, Bellevue, Av. Rovisco Pais, 1, Dublin 8, 1049-001 Lisboa - Portugal. Ireland. (jag. 1.1 Background In the mid-20th Century, Gibson put forward an ecological approach to vision

  19. Vision Research 46 (2006) 32843290 www.elsevier.com/locate/visres

    E-Print Network [OSTI]

    Curran, William

    2006-01-01

    stimulus characteristics determine the perceived speed of the dynamic motion aftereVect William Curran a. E-mail address: w.curran@qub.ac.uk (W. Curran). #12;W. Curran, C.P. Benton / Vision Research 46

  20. The Vision of the Other in Mark Twain's 'War-Prayer'

    E-Print Network [OSTI]

    Zehr, Martin

    2009-01-01

    Little, 1929. Twain, Mark. The War-Prayer. New York: Harper,New Perspectives on “The War-Prayer” Essayson “The War-Prayer” The Vision of the Other in Mark Twain’

  1. Six degrees of freedom estimation using monocular vision and moiré patterns

    E-Print Network [OSTI]

    Tournier, Glenn P. (Glenn Paul)

    2006-01-01

    We present the vision-based estimation of the position and orientation of an object using a single camera relative to a novel target that incorporates the use of moire patterns. The objective is to acquire the six degree ...

  2. Figure 1. Hydrologic Information System Overarching Vision. Data Interoperability in the Hydrologic Sciences

    E-Print Network [OSTI]

    Tarboton, David

    Figure 1. Hydrologic Information System Overarching Vision. Data Interoperability in the Hydrologic Sciences The CUAHSI Hydrologic Information System David G Tarboton1 , David Maidment2 , Ilya Zaslavsky3 Sciences. Hydrologic Information Systems (HIS) are part of this infrastructure. Hydrologic information

  3. T-704: RSA enVision Lets Remote Users View Files and Remote Authentica...

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

    Allows remote attackers to obtain sensitive information by sniffing the network or leveraging access to a recipient mailbox. PLATFORM: RSA enVision Version(s): 3.x, 4.x ABSTRACT:...

  4. Learning and Vision Machines BERND HEISELE, ALESSANDRO VERRI, AND TOMASO POGGIO

    E-Print Network [OSTI]

    Poggio, Tomaso

    Learning and Vision Machines BERND HEISELE, ALESSANDRO VERRI, AND TOMASO POGGIO Invited Paper recognition, pattern classification, support vector machines, visual learning. I. INTRODUCTION Learning Contract IIS-9800032 and in part by the Central Research Institute of Electric Power Industry, Eastman

  5. 9.71 Functional MRI of High-Level Vision, Fall 2002

    E-Print Network [OSTI]

    Kanwisher, Nancy

    Covers the basics of fMRI, the strengths and limitations of fMRI compared to other techniques, and the design and analysis of fMRI experiments, focusing primarily on experiments on high-level vision. Upon completion, ...

  6. Automated Spacecraft Docking Using a Vision-Based Relative Navigation Sensor 

    E-Print Network [OSTI]

    Morris, Jeffery C.

    2010-01-14

    duration human missions than otherwise possible and could even accelerate human colonization of other worlds. This thesis develops an optimal docking controller for an automated docking capable spacecraft. An innovative vision-based relative navigation...

  7. OpenVL: A Developer-Level Abstraction of Computer Vision Gregor Miller and Sidney Fels

    E-Print Network [OSTI]

    British Columbia, University of

    OpenVL: A Developer-Level Abstraction of Computer Vision Gregor Miller and Sidney Fels Human- ple language model [Miller and Fels 2013]); the third is a detailed description of the individual

  8. A Vision for the U.S. Metal Casting Industry - 2002 and Beyond

    SciTech Connect (OSTI)

    None

    2002-05-01

    Chief executive officers and presidents from the foundry, die casting, and foundry supply industries developed the A Vision for the U.S. Metal Casting Industry - 2002 and Beyond document.

  9. A Comparison of Hardware Implementations for Low-Level Vision Algorithms

    E-Print Network [OSTI]

    Gamble, Ed

    1989-11-01

    Early and intermediate vision algorithms, such as smoothing and discontinuity detection, are often implemented on general-purpose serial, and more recently, parallel computers. Special-purpose hardware implementations ...

  10. Find Teacher & Classroom Resources Health & Physical Education, K Grade 6

    E-Print Network [OSTI]

    Fletcher, Robin

    Find Teacher & Classroom Resources for Health & Physical Education, K ­ Grade 6 Queen's Library weeks Books, Lesson Resources, K-12 books, Multimedia, Ministry of Education documents For use Type of Resource Search Tip Ministry of Education documents Browsing Tip: All M of E documents

  11. ADVANCED HYDROGEN TRANSPORT MEMBRANES FOR VISION 21 FOSSIL FUEL PLANTS

    SciTech Connect (OSTI)

    Shane E. Roark; Tony F. Sammells; Richard A. Mackay; Adam E. Calihman; Lyrik Y. Pitzman; Tom F. Barton; Sara L. Rolfe; Richard N. Kleiner; James E. Stephan; Mike J. Holmes; Aaron L. Wagner

    2001-07-30

    Eltron Research Inc., and team members, are developing an environmentally benign, inexpensive, and efficient method for separating hydrogen from gas mixtures produced during industrial processes, such as coal gasification. This project was motivated by the National Energy Technology Laboratory (NETL) Vision 21 initiative which seeks to economically eliminate environmental concerns associated with the use of fossil fuels. This objective is being pursued using dense membranes based in part on Eltron-patented ceramic materials with a demonstrated ability for proton and electron conduction. The technical goals are being addressed by modifying single-phase and composite membrane composition and microstructure to maximize proton and electron conductivity without loss of material stability. Ultimately, these materials must enable hydrogen separation at practical rates under ambient and high-pressure conditions, without deactivation in the presence of feedstream components such as carbon dioxide, water, and sulfur. During this quarter, ceramic, cermet (ceramic/metal), and thin film membranes were prepared, characterized, and evaluated for H{sub 2} transport. For selected ceramic membrane compositions an optimum range for transition metal doping was identified, and it was determined that highest proton conductivity occurred for two-phase ceramic materials. Furthermore, a relationship between transition metal dopant atomic number and conductivity was observed. Ambipolar conductivities of {approx}6 x 10{sup -3} S/cm were achieved for these materials, and {approx} 1-mm thick membranes generated H{sub 2} transport rates as high as 0.3 mL/min/cm{sup 2}. Cermet membranes during this quarter were found to have a maximum conductivity of 3 x 10{sup -3} S/cm, which occurred at a metal phase contact of 36 vol.%. Homogeneous dense thin films were successfully prepared by tape casting and spin coating; however, there remains an unacceptably high difference in shrinkage rates between the film and support, which led to membrane instability. Further improvements in high pressure membrane seals also were achieved during this quarter, and a maximum pressure of 100 psig was attained. CoorsTek optimized many of the processing variables relevant to manufacturing scale production of ceramic H{sub 2} transport membranes, and SCI used their expertise to deposit a range of catalysts compositions onto ceramic membrane surfaces. Finally, MTI compiled relevant information regarding Vision 21 fossil fuel plant operation parameters, which will be used as a starting point for assessing the economics of incorporating a H{sub 2} separation unit.

  12. Camara USB para un sensor de vision selectiva guiada por cambios

    E-Print Network [OSTI]

    Valencia, Universidad de

    ´as representativo en comparaci´on a los dem´as. Este tipo de visi´on es bastante diferente al tradicional basado en´on visual. En este art´iculo se explica este tipo de visi´on, funcionamiento del sensor y dise~no de la c independiente y cada uno env´ia su informaci´on en cualquier instante. Es el flujo de p´ixeles lo que se procesa

  13. "Vision and love!": encoding jouissance in Shelley's Alastor, "The Witch of Atlas", and Epipsychidion 

    E-Print Network [OSTI]

    Gladden, Samuel Lyndon

    1992-01-01

    "VISION AND LOVE!": ENCODING JOUISSANCE IN SHELLEY' S ALASTOR, "THE WITCH OF ATLAS, " AND EPIPS3'CHIDIOlV A Thesis by SAMUEL LYNDON GLADDEN Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF ARTS August 1992 Major Subject: English "VISION AND LOVE!": ENCODING JOUISSANCE IN SHELLEY' S ALASTOR, "THE WITCH OF ATLAS, " AND EPIPSYCHIDION A Thesis by SAMUEL LYNDON GLADDEN Approved as to style and content...

  14. A review of "Restoring the Temple of Vision: Cabalistic Freemasonry & Stuart Culture." by Marsha Keith Schuchard 

    E-Print Network [OSTI]

    D. R. Dickson

    2003-01-01

    -CENTURY NEWS Marsha Keith Schuchard. Restoring the Temple of Vision: Cabalistic Freemasonry and Stuart Culture. Leiden: E. J. Brill, 2002. Studies in Intellectual History, vol. 110. xiii + 845 pp. $281. Review by DONALD R. DICKSON, TEXAS A&M UNIVERSITY.... Restoring the Temple of Vision paints a fascinating sketch of the early history of Freemasonry that flourished in lodges in the eigh- teenth and nineteenth centuries by tracing its roots to medieval Jewish sources and Scottish sources of the sixteenth...

  15. Arctic energy resources

    SciTech Connect (OSTI)

    Rey, L.

    1983-01-01

    The Arctic is a vulnerable region with immense resources. These range from the replenishable (tidal energy, hydroelectricity, wood, biomass, fish, game, and geothermal energy) to the non-replenishable (coal, minerals, natural gas, hydrocarbon deposits). But the problems of exploiting such resources without damaging the environment of the Arctic are formidable. In this book all aspects are considered: occurrence of energy resources; the technological and economic aspects of exploration and exploitation; the environmental and social impact of technological development.

  16. Resources | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsofProgram: Report AppendicesA Token Requesting A TokenResearchResourcesResources

  17. Jefferson Lab Information Resources

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

    Services Search Online Catalog Subject Pathfinders Databases E-Books Online Journals Print JournalsBackfiles Ask a Librarian Interlibrary Loan Request Additional Resources Library...

  18. Jefferson Lab - Resources

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

    https:www.jlab.orgresources

    Resources04.png"...

  19. Resources | Jefferson Lab

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

    Resources Machine Control Center Display Jefferson Lab's accelerator is operated from the Machine Control Center. The MCC features a full-wall display that allows operators to...

  20. Visual Resource Report

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

    Assessment Visual Resource Report in Support of the I-5 Corridor Reinforcement Project Environmental Impact Statement Prepared for: Bonneville Power Administration P.O. Box 3621...

  1. Sandia Energy - Resource Characterization

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

    siting and device deployment. Sandia develops and compiles resource assessments for potential and existing wave energy converter test and deployment sites. We utilize consistent,...

  2. Central American resource studies

    SciTech Connect (OSTI)

    Van Eeckhout, E.; Laughlin, A.W.

    1989-01-01

    Los Alamos National Laboratory has been working with five Central American countries to assist in the development of their energy and mineral resources. Since 1985, mineral resources in Costa Rica, peat resources in Costa Rica and Panama, geothermal energy resources in Honduras and Guatemala, and geothermal field development in El Salvador and Costa Rica have been topics of study. This paper presents an overview of this work -- within these proceedings are papers that deal with specific aspects of each topic, and these will be duly noted. 15 refs., 4 figs.

  3. Resources for Local Policymakers

    SciTech Connect (OSTI)

    SEE Action

    2012-06-01

    Provides a summary of State and Local Energy Efficiency Action Network (SEE Action) information resources available to local policymakers, organized by topic.

  4. Resources for Utility Regulators

    SciTech Connect (OSTI)

    SEE Action

    2012-06-01

    Provides a summary of State and Local Energy Efficiency Action Network (SEE Action) information resources available to utility regulators, organized by topic.

  5. Jefferson Lab Human Resources

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

    JLab Diversity Policies 200 Human Resources 202 Equal Employment Opportunity and Affirmative Action 203 Employment 208 Employee Performance and Conduct 209 Staff Development 210...

  6. Chapter 13 Cultural Resources

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

    Rural Electrification Administration, many rural cooperatives. Such efforts delivered low-cost power, expanded electric service regionally, and Chapter 13 Cultural Resources I-5...

  7. Energy Efficiency Resource Standard

    Office of Energy Efficiency and Renewable Energy (EERE)

    Washington voters passed Initiative 937 in 2006, creating a renewable energy standard and an energy efficiency resource standard for the state's electric utilities. Initiative 937, enacted as th...

  8. New vision solar system mission study. Final report

    SciTech Connect (OSTI)

    Mondt, J.F.; Zubrin, R.M.

    1996-03-01

    The vision for the future of the planetary exploration program includes the capability to deliver {open_quotes}constellations{close_quotes} or {open_quotes}fleets{close_quotes} of microspacecraft to a planetary destination. These fleets will act in a coordinated manner to gather science data from a variety of locations on or around the target body, thus providing detailed, global coverage without requiring development of a single large, complex and costly spacecraft. Such constellations of spacecraft, coupled with advanced information processing and visualization techniques and high-rate communications, could provide the basis for development of a {open_quotes}virtual{close_quotes} {open_quotes}presence{close_quotes} in the solar system. A goal could be the near real-time delivery of planetary images and video to a wide variety of users in the general public and the science community. This will be a major step in making the solar system accessible to the public and will help make solar system exploration a part of the human experience on Earth.

  9. 2020 Vision for Tank Waste Cleanup (One System Integration) - 12506

    SciTech Connect (OSTI)

    Harp, Benton; Charboneau, Stacy; Olds, Erik [US DOE (United States)

    2012-07-01

    The mission of the Department of Energy's Office of River Protection (ORP) is to safely retrieve and treat the 56 million gallons of Hanford's tank waste and close the Tank Farms to protect the Columbia River. The millions of gallons of waste are a by-product of decades of plutonium production. After irradiated fuel rods were taken from the nuclear reactors to the processing facilities at Hanford they were exposed to a series of chemicals designed to dissolve away the rod, which enabled workers to retrieve the plutonium. Once those chemicals were exposed to the fuel rods they became radioactive and extremely hot. They also couldn't be used in this process more than once. Because the chemicals are caustic and extremely hazardous to humans and the environment, underground storage tanks were built to hold these chemicals until a more permanent solution could be found. The Cleanup of Hanford's 56 million gallons of radioactive and chemical waste stored in 177 large underground tanks represents the Department's largest and most complex environmental remediation project. Sixty percent by volume of the nation's high-level radioactive waste is stored in the underground tanks grouped into 18 'tank farms' on Hanford's central plateau. Hanford's mission to safely remove, treat and dispose of this waste includes the construction of a first-of-its-kind Waste Treatment Plant (WTP), ongoing retrieval of waste from single-shell tanks, and building or upgrading the waste feed delivery infrastructure that will deliver the waste to and support operations of the WTP beginning in 2019. Our discussion of the 2020 Vision for Hanford tank waste cleanup will address the significant progress made to date and ongoing activities to manage the operations of the tank farms and WTP as a single system capable of retrieving, delivering, treating and disposing Hanford's tank waste. The initiation of hot operations and subsequent full operations of the WTP are not only dependent upon the successful design and construction of the WTP, but also on appropriately preparing the tank farms and waste feed delivery infrastructure to reliably and consistently deliver waste feed to the WTP for many decades. The key components of the 2020 vision are: all WTP facilities are commissioned, turned-over and operational, achieving the earliest possible hot operations of completed WTP facilities, and supplying low-activity waste (LAW) feed directly to the LAW Facility using in-tank/near tank supplemental treatment technologies. A One System Integrated Project Team (IPT) was recently formed to focus on developing and executing the programs that will be critical to successful waste feed delivery and WTP startup. The team is comprised of members from Bechtel National, Inc. (BNI), Washington River Protection Solutions LLC (WRPS), and DOE-ORP and DOE-WTP. The IPT will combine WTP and WRPS capabilities in a mission-focused model that is clearly defined, empowered and cost efficient. The genesis for this new team and much of the 2020 vision is based on the work of an earlier team that was tasked with identifying the optimum approach to startup, commissioning, and turnover of WTP facilities for operations. This team worked backwards from 2020 - a date when the project will be completed and steady-state operations will be underway - and identified success criteria to achieving safe and efficient operations of the WTP. The team was not constrained by any existing contract work scope, labor, or funding parameters. Several essential strategies were identified to effectively realize the one-system model of integrated feed stream delivery, WTP operations, and product delivery, and to accomplish the team's vision of hot operations beginning in 2016: - Use a phased startup and turnover approach that will allow WTP facilities to be transitioned to an operational state on as short a timeline as credible. - Align Tank Farm (TF) and WTP objectives such that feed can be supplied to the WTP when it is required for hot operations. - Ensure immobilized waste and waste recycle streams can be recei

  10. Advanced Hydrogen Transport Membranes for Vision 21 Fossil Fuel Plants

    SciTech Connect (OSTI)

    Carl R. Evenson; Richard N. Kleiner; James E. Stephan; Frank E. Anderson

    2006-04-30

    Eltron Research Inc. and team members CoorsTek, Sued Chemie, Argonne National Laboratory, and NORAM are developing an environmentally benign, inexpensive, and efficient method for separating hydrogen from gas mixtures produced during industrial processes, such as coal gasification. This project was motivated by the National Energy Technology Laboratory (NETL) Vision 21 initiative, which seeks to economically eliminate environmental concerns associated with the use of fossil fuels. Currently, this project is focusing on four basic categories of dense membranes: (1) mixed conducting ceramic/ceramic composites, (2) mixed conducting ceramic/metal (cermet) composites, (3) cermets with hydrogen permeable metals, and (4) layered composites containing hydrogen permeable alloys. Ultimately, these materials must enable hydrogen separation at practical rates under ambient and high-pressure conditions, without deactivation in the presence of feedstream components such as carbon dioxide, water, and sulfur. During this final quarter of the no cost extension several planar membranes of a cermet composition referred to as EC101 containing a high permeability metal and a ceramic phase were prepared and permeability testing was performed.

  11. ADVANCED HYDROGEN TRANSPORT MEMBRANES FOR VISION 21 FOSSIL FUELS PLANTS

    SciTech Connect (OSTI)

    Shane E. Roark; Anthony F. Sammells; Richard Mackay; Stewart Schesnack; Scott Morrison; Thomas A. Zirbel; Thomas F. Barton; Sara L. Rolfe; U. Balachandran; Richard N. Kleiner; James E. Stephan; Frank E. Anderson; Aaron L. Wagner; Jon P. Wagner

    2003-07-31

    Eltron Research Inc. and team members CoorsTek, Sued Chemie, and Argonne National Laboratory are developing an environmentally benign, inexpensive, and efficient method for separating hydrogen from gas mixtures produced during industrial processes, such as coal gasification. This project was motivated by the National Energy Technology Laboratory (NETL) Vision 21 initiative, which seeks to economically eliminate environmental concerns associated with the use of fossil fuels. Currently, this project is focusing on four basic categories of dense membranes: (1) mixed conducting ceramic/ceramic composites, (2) mixed conducting ceramic/metal (cermet) composites, (3) cermets with hydrogen permeable metals, and (4) layered composites containing hydrogen permeable alloys. Ultimately, these materials must enable hydrogen separation at practical rates under ambient and high-pressure conditions, without deactivation in the presence of feedstream components such as carbon dioxide, water, and sulfur. This report presents hydrogen permeation data during long term tests and tests at high pressure in addition to progress with cermet, ceramic/ceramic, and thin film membranes.

  12. ADVANCED HYDROGEN TRANSPORT MEMBRANES FOR VISION 21 FOSSIL FUEL PLANTS

    SciTech Connect (OSTI)

    Shane E. Roark; Anthony F. Sammells; Richard A. Mackay; Lyrik Y. Pitzman; Thomas A. Zirbel; Stewart Schesnack; Thomas F. Barton; Sara L. Rolfe; U. (Balu) Balachandran; Richard N. Kleiner; James E. Stephan; Frank E. Anderson; Aaron L. Wagner; Jon P. Wagner

    2003-04-30

    Eltron Research Inc. and team members CoorsTek, Sued Chemie, and Argonne National Laboratory are developing an environmentally benign, inexpensive, and efficient method for separating hydrogen from gas mixtures produced during industrial processes, such as coal gasification. This project was motivated by the National Energy Technology Laboratory (NETL) Vision 21 initiative, which seeks to economically eliminate environmental concerns associated with the use of fossil fuels. Currently, this project is focusing on four basic categories of dense membranes: (i) mixed conducting ceramic/ceramic composites, (ii) mixed conducting ceramic/metal (cermet) composites, (iii) cermets with hydrogen permeable metals, and (iv) hydrogen permeable alloys. Ultimately, these materials must enable hydrogen separation at practical rates under ambient and high-pressure conditions, without deactivation in the presence of feedstream components such as carbon dioxide, water, and sulfur. This report describes resent results for long-term hydrogen permeation and chemical stability measurements, new mixed conducting cermets, progress in cermet, thin film, and thin-walled tube fabrication, hydrogen absorption measurements for selected compositions, and membrane facilitated alkane to olefin conversion.

  13. The Dark UNiverse Explorer (DUNE): Proposal to ESA's Cosmic Vision

    E-Print Network [OSTI]

    Alexandre Refregier; the DUNE collaboration

    2008-07-24

    The Dark UNiverse Explorer (DUNE) is a wide-field space imager whose primary goal is the study of dark energy and dark matter with unprecedented precision. For this purpose, DUNE is optimised for the measurement of weak gravitational lensing but will also provide complementary measurements of baryonic accoustic oscillations, cluster counts and the Integrated Sachs Wolfe effect. Immediate auxiliary goals concern the evolution of galaxies, to be studied with unequalled statistical power, the detailed structure of the Milky Way and nearby galaxies, and the demographics of Earth-mass planets. DUNE is an Medium-class mission which makes use of readily available components, heritage from other missions, and synergy with ground based facilities to minimise cost and risks. The payload consists of a 1.2m telescope with a combined visible/NIR field-of-view of 1 deg^2. DUNE will carry out an all-sky survey, ranging from 550 to 1600nm, in one visible and three NIR bands which will form a unique legacy for astronomy. DUNE will yield major advances in a broad range of fields in astrophysics including fundamental cosmology, galaxy evolution, and extrasolar planet search. DUNE was recently selected by ESA as one of the mission concepts to be studied in its Cosmic Vision programme.

  14. Physics Resources for Teachers

    E-Print Network [OSTI]

    Collar, Juan I.

    Physics Resources for Teachers University of Wisconsin ­ Madison Department of Physics 1150 University Ave. Madison, WI 53706 wonders@physics.wisc.edu (608) 262-2927 Plasma Physics Web Resources Center Plasma Physics Lab http://science-education.pppl.gov/ Coalition for Plasma Science http

  15. Water Resources Research Center

    E-Print Network [OSTI]

    District of Columbia, University of the

    Water Resources Research Center WASHINGTON, DISTRICT Of COLUMBIA #12;ASSESSMENT OF THE STATE OF THE ART AND DEVELOPMENT OF PROPOSED IMPROVEMENTS IN RECREATION BENEFIT, VALUATION FOR WATER RESOURCES PLANNING conducted by Robert C. Waters Vassilios Moustakis Department of Engineering Administration School

  16. ENVIRONMENTAL AND RESOURCE SCIENCE/

    E-Print Network [OSTI]

    Fox, Michael

    ENVIRONMENTAL AND RESOURCE SCIENCE/ STUDIES BUILDING ENVIRONMENTAL CITIZENSHIP trentu.ca/ers #12 Science/Studies. WHY TRENT? · Study in the first environmental science program to be accredited's Environmental and Resource Science program was the first to be accredited by ECO Canada Accessible versions

  17. Transmission/Resource Library/Enviromental Resources and Mitigation...

    Open Energy Info (EERE)

    Enviromental Resources and Mitigation < Transmission | Resource Library(Redirected from TransmissionResource LibraryMitigation) Redirect page Jump to: navigation, search...

  18. EFRC Resources-Resources-PHaSe-EFRC

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB PacketDieselAbsorptionPowering the Future AsProcess

  19. ORISE Resources: Consumer Health Resource Information Service

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesseworkSURVEY UNIVERSE The 2014 surveyNuclearHow to Work With Us The

  20. Types of Commissioning

    Broader source: Energy.gov [DOE]

    Several commissioning types exist to address the specific needs of equipment and systems across both new and existing buildings. The following commissioning types provide a good overview.

  1. Postdoc Appointment Types

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

    Appointment Types Postdoc Appointment Types Most postdocs will be offered a postdoctoral research associate appointment. Each year, approximately 30 Postdoctoral Fellow...

  2. Digital Object Identifier (DOI) 10.1007/s00138-004-0147-4 Machine Vision and Applications (2004) Machine Vision and

    E-Print Network [OSTI]

    Draper, Bruce A.

    2004-01-01

    , Kyungim Baek , Jeff Boody Department of Computer Science, Colorado State University, Fort Collins, CO ­ Appearance-based vision 1 Introduction In the introduction to his book, David Marr argued that com- plex that are not easily measured or explained at the level of the components. As an example, Marr cited the study of gases

  3. Hydrogen Resources | Department of Energy

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

    Resources Hydrogen Resources Hydrogen can be produced from diverse, domestic resources. Currently, most hydrogen is produced from fossil fuels, specifically natural gas....

  4. Selected Blog Sites Related to Water Resources and Environmental Resources

    E-Print Network [OSTI]

    James, L. Allan

    Selected Blog Sites Related to Water Resources and Environmental Resources Water News: Circle Water Resources Association (JAWRA) - http://awramedia.org/mainblog/ WaterWired ­ personal blog (IWRM) ­ personal blog site of a water resources professional - http

  5. Resources | Argonne National Laboratory

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) byMultiday ProductionDesigning ResilientResources Available withResources

  6. Resources | Critical Materials Institute

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) byMultiday ProductionDesigning ResilientResources AvailableResources

  7. Types of Lights Types of Lights

    E-Print Network [OSTI]

    1 Types of Lights Types of Lights q So far we have studied point lights ­ Radiate in all direc7ons q Other lights ­ Direc7onal lights (posi7on-independent) ­ Spotlights #12;2 Direc1onal Lights q Shine in a single, uniform direc7on q All rays

  8. Performance of photovoltaic arrays in-vivo and characteristics of prosthetic vision in animals with retinal degeneration

    E-Print Network [OSTI]

    Palanker, Daniel

    Performance of photovoltaic arrays in-vivo and characteristics of prosthetic vision in animals neurons. Subretinal photovoltaic arrays convert pulsed illumination into pulsed electric current

  9. Combined Heat and Power: A Vision for the Future of CHP in the United States in 2020, June 1999

    Broader source: Energy.gov [DOE]

    This report is a summary document based on discussions at the CHP Vision Workshop held in Washington, DC, June 8-9, 1999

  10. Ocean Energy Resource Basics

    Broader source: Energy.gov [DOE]

    Although the potential for ocean energy technologies is believed to be very large, no comprehensive studies have been conducted to date to determine an accurate resource assessment for the United States.

  11. Water Resources Policy & Economics

    E-Print Network [OSTI]

    Buehrer, R. Michael

    Water Resources Policy & Economics FOR 4984 Selected Course Topics · Appropriative and riparian water institutions · Incentives for conservation · Water rights for in-stream environmental use · Surface water-groundwater management · Water quality regulations · Water markets · Economic and policy

  12. Community Outreach Resources | ORNL

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

    For information on ORNL and its community outreach activities, please refer to the resources listed below or to one of our Community Outreach Contacts. If you have a general...

  13. Resource Adequacy INTRODUCTION

    E-Print Network [OSTI]

    whether there are sufficient non-hydro resources available to meet loads when the "fuel" for hydroelectric the amount of water for hydroelectric generation) and temperature (which affects the demand for electricity

  14. Water Resources Milind Sohoni

    E-Print Network [OSTI]

    Sohoni, Milind

    TD 603 Water Resources Milind Sohoni www.cse.iitb.ac.in/sohoni/ Building Numerical Models () August of surface flow of water and infiltration which may include time to flow, movement of solids etc. () August

  15. Human Resources & Rebecca Leinen

    E-Print Network [OSTI]

    Huang, Wei

    -Grounds Zone 4 Maintenance Health Systems Engineering Hospital Zone 1 Maintenance Operations Research Zone 2 Maintenance Environmental Resources Operations Cheryl Gomez Housing Facilities #12; Smeds Programs & Informatics Mark Webb Systems Engineering Office for Sustainability Maintenance

  16. Human Resource Management Delegation

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

    1996-06-28

    The notice is to clarifies and updates existing Human Resource Management Delegation Authorities and the levels to which they are delegated. Expired 6-28-97. Does not cancel any directives.

  17. Marine Conservation Resource overexploitation

    E-Print Network [OSTI]

    Marine Conservation · Overview · Resource overexploitation % Impacts on target spp % Impacts on non'target spp, % Impacts on community/ecosystem % Marine protected areas Friday: · Global climate change · Invasive species · Solutions · Study Guide: Monday !" April · Discussion: Wednesday# !$ April % Marine

  18. Wind Resource Maps (Postcard)

    SciTech Connect (OSTI)

    Not Available

    2011-07-01

    The U.S. Department of Energy's Wind Powering America initiative provides high-resolution wind maps and estimates of the wind resource potential that would be possible from development of the available windy land areas after excluding areas unlikely to be developed. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to Wind Powering America's online wind energy resource maps.

  19. Wood Resources International

    E-Print Network [OSTI]

    ;Wood Resources International Production of energy from wood fuels in 2000 Source: EUBIONET 0 50 100 150.3% Sweden 5.3% Finland 4.1% Russia 13.8% US 37.3% Germany 3.3% France 2.8% Poland 2.1% Other Europe 14 #12;Wood Resources International Global Industrial Roundwood Production in 2002 Other Europe 6.9% CIS

  20. Resources | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterestedReplacement-2-A Wholesale PowerNatural GasBreakout Sessions NotesResources

  1. Resources | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsofProgram: Report AppendicesA Token Requesting A TokenResearchResources »

  2. Resources | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsofProgram: Report AppendicesA Token Requesting A TokenResearchResources

  3. Orchestrating Distributed Resource Ensembles for Petascale Science

    SciTech Connect (OSTI)

    Baldin, Ilya; Mandal, Anirban; Ruth, Paul; Yufeng, Xin

    2014-04-24

    Distributed, data-intensive computational science applications of interest to DOE scientific com- munities move large amounts of data for experiment data management, distributed analysis steps, remote visualization, and accessing scientific instruments. These applications need to orchestrate ensembles of resources from multiple resource pools and interconnect them with high-capacity multi- layered networks across multiple domains. It is highly desirable that mechanisms are designed that provide this type of resource provisioning capability to a broad class of applications. It is also important to have coherent monitoring capabilities for such complex distributed environments. In this project, we addressed these problems by designing an abstract API, enabled by novel semantic resource descriptions, for provisioning complex and heterogeneous resources from multiple providers using their native provisioning mechanisms and control planes: computational, storage, and multi-layered high-speed network domains. We used an extensible resource representation based on semantic web technologies to afford maximum flexibility to applications in specifying their needs. We evaluated the effectiveness of provisioning using representative data-intensive ap- plications. We also developed mechanisms for providing feedback about resource performance to the application, to enable closed-loop feedback control and dynamic adjustments to resource allo- cations (elasticity). This was enabled through development of a novel persistent query framework that consumes disparate sources of monitoring data, including perfSONAR, and provides scalable distribution of asynchronous notifications.

  4. NATURAL RESOURCES ASSESSMENT

    SciTech Connect (OSTI)

    D.F. Fenster

    2000-12-11

    The purpose of this report is to summarize the scientific work that was performed to evaluate and assess the occurrence and economic potential of natural resources within the geologic setting of the Yucca Mountain area. The extent of the regional areas of investigation for each commodity differs and those areas are described in more detail in the major subsections of this report. Natural resource assessments have focused on an area defined as the ''conceptual controlled area'' because of the requirements contained in the U.S. Nuclear Regulatory Commission Regulation, 10 CFR Part 60, to define long-term boundaries for potential radionuclide releases. New requirements (proposed 10 CFR Part 63 [Dyer 1999]) have obviated the need for defining such an area. However, for the purposes of this report, the area being discussed, in most cases, is the previously defined ''conceptual controlled area'', now renamed the ''natural resources site study area'' for this report (shown on Figure 1). Resource potential can be difficult to assess because it is dependent upon many factors, including economics (demand, supply, cost), the potential discovery of new uses for resources, or the potential discovery of synthetics to replace natural resource use. The evaluations summarized are based on present-day use and economic potential of the resources. The objective of this report is to summarize the existing reports and information for the Yucca Mountain area on: (1) Metallic mineral and mined energy resources (such as gold, silver, etc., including uranium); (2) Industrial rocks and minerals (such as sand, gravel, building stone, etc.); (3) Hydrocarbons (including oil, natural gas, tar sands, oil shales, and coal); and (4) Geothermal resources. Groundwater is present at the Yucca Mountain site at depths ranging from 500 to 750 m (about 1,600 to 2,500 ft) below the ground surface. Groundwater resources are not discussed in this report, but are planned to be included in the hydrology section of future revisions of the ''Yucca Mountain Site Description'' (CRWMS M&O 2000c).

  5. Role of high-order aberrations in senescent changes in spatial vision

    SciTech Connect (OSTI)

    Elliot, S; Choi, S S; Doble, N; Hardy, J L; Evans, J W; Werner, J S

    2009-01-06

    The contributions of optical and neural factors to age-related losses in spatial vision are not fully understood. We used closed-loop adaptive optics to test the visual benefit of correcting monochromatic high-order aberrations (HOAs) on spatial vision for observers ranging in age from 18-81 years. Contrast sensitivity was measured monocularly using a two-alternative forced choice (2AFC) procedure for sinusoidal gratings over 6 mm and 3 mm pupil diameters. Visual acuity was measured using a spatial 4AFC procedure. Over a 6 mm pupil, young observers showed a large benefit of AO at high spatial frequencies, whereas older observers exhibited the greatest benefit at middle spatial frequencies, plus a significantly larger increase in visual acuity. When age-related miosis is controlled, young and old observers exhibited a similar benefit of AO for spatial vision. An increase in HOAs cannot account for the complete senescent decline in spatial vision. These results may indicate a larger role of additional optical factors when the impact of HOAs is removed, but also lend support for the importance of neural factors in age-related changes in spatial vision.

  6. Accessibility Resources for Western Resources specified below are intended to supplement those listed in the Accessible Service and

    E-Print Network [OSTI]

    Lennard, William N.

    the provision of accessible text for students who are blind or have low vision. FM System Head Sets Head sets

  7. ADVANCED HYDROGEN TRANSPORT MEMBRANES FOR VISION 21 FOSSIL FUEL PLANTS

    SciTech Connect (OSTI)

    Shane E. Roark; Anthony F. Sammells; Richard Mackay; Stewart R. Schesnack; Scott R. Morrison; Thomas F. Barton; Sara L. Rolfe; U. Balachandran; Richard N. Kleiner; James E. Stephan; Frank E. Anderson; Aaron L. Wagner; Jon P. Wagner

    2003-10-30

    Eltron Research Inc. and team members CoorsTek, Sued Chemie, Argonne National Laboratory, and NORAM are developing an environmentally benign, inexpensive, and efficient method for separating hydrogen from gas mixtures produced during industrial processes, such as coal gasification. This project was motivated by the National Energy Technology Laboratory (NETL) Vision 21 initiative, which seeks to economically eliminate environmental concerns associated with the use of fossil fuels. Over the past 12 months, this project has focused on four basic categories of dense membranes: (1) mixed conducting ceramic/ceramic composites, (2) mixed conducting ceramic/metal (cermet) composites, (3) cermets with hydrogen permeable metals, and (4) layered composites containing hydrogen permeable alloys. Ultimately, these materials must enable hydrogen separation at practical rates under ambient and high-pressure conditions, without deactivation in the presence of feedstream components such as carbon dioxide, water, and sulfur. The ceramic/ceramic composites demonstrate the lowest hydrogen permeation rates, with a maximum of approximately 0.1 mL/min/cm{sup 2} for 0.5-mm thick membranes at 800 to 950 C. Under equivalent conditions, cermets achieve a hydrogen permeation rate near 1 mL/min/cm{sup 2}, and the metal phase also improves structural stability and surface catalysis for hydrogen dissociation. Furthermore, if metals with high hydrogen permeability are used in cermets, permeation rates near 4 mL/min/cm{sup 2} are achievable with relatively thick membranes. Layered composite membranes have by far the highest permeation rates with a maximum flux in excess of 200 mL {center_dot} min{sup -1} {center_dot} cm{sup -2}. Moreover, these permeation rates were achieved at a total pressure differential across the membrane of 450 psi. Based on these results, effort during the next year will focus on this category of membranes. This report contains long-term hydrogen permeation data over eight-months of continuous operation, and permeation results as a function of operating conditions at high pressure for layered composite membranes. Additional progress with cermet and thin film membranes also is presented.

  8. ADVANCED HYDROGEN TRANSPORT MEMBRANES FOR VISION 21 FOSSIL FUEL PLANTS

    SciTech Connect (OSTI)

    Shane E. Roark; Tony F. Sammells; Adam E. Calihman; Lyrik Y. Pitzman; Pamela M. Van Calcar; Richard A. Mackay; Tom F. Barton; Sara L. Rolfe; Richard N. Kleiner; James E. Stephan; Tim R. Armstrong; Mike J. Holmes; Aaron L. Wagner

    2001-04-30

    Eltron Research Inc., and team members, are developing an environmentally benign, inexpensive, and efficient method for separating hydrogen from gas mixtures produced during industrial processes, such as coal gasification. This project was motivated by the National Energy Technology Laboratory (NETL) Vision 21 initiative which seeks to economically eliminate environmental concerns associated with the use of fossil fuels. This objective is being pursued using dense membranes based in part on Eltron-patented ceramic materials with a demonstrated ability for proton and electron conduction. The technical goals are being addressed by modifying single-phase and composite membrane composition and microstructure to maximize proton and electron conductivity without loss of material stability. Ultimately, these materials must enable hydrogen separation at practical rates under ambient and high-pressure conditions, without deactivation in the presence of feedstream components such as carbon dioxide, water, and sulfur. During this quarter, it was demonstrated that increasing the transition metal loading in a model perovskite composition resulted in an increase in hydrogen flux. Improved flux corresponded to the emergence of additional phases in the ceramic membrane, and highest flux was achieved for a composite consisting of pseudo-cubic and rhombohedral perovskite phases. A 0.9-mm thick membrane of this material generated a hydrogen flux in excess of 0.1 mL/min/cm{sup 2}, which was approximately 35 times greater than analogs with lower transition metal levels. The dopant level and crystal structure also correlated with membrane density and coefficient of thermal expansion, but did not appear to affect grain size or shape. Additionally, preliminary ceramic-metal (cermet) composite membranes demonstrated a 10-fold increase in flux relative to analogous membranes composed of only the ceramic component. The hydrogen flux for these cermet samples corresponded to a conductivity of {approx} 10{sup -3} S/cm, which was consistent with the predicted proton conductivity of the ceramic phase. Increasing the sweep gas flow rate in test reactors was found to significantly increase hydrogen flux, as well as apparent material conductivity for all samples tested. Adding humidity to the feed gas stream produced a small increase in hydrogen flux. However, the catalyst on ceramic membrane surfaces did not affect flux, which suggested that the process was membrane-diffusion limited. Representative samples and fabrication processes were evaluated on the basis of manufacturing practicality. it was determined that optimum membrane densification occurs over a very narrow temperature range for the subject ceramics. Additionally, calcination temperatures currently employed result in powders that are difficult mill and screen. These issues must be addressed to improve large-scale fabricability.

  9. ADVANCED HYDROGEN TRANSPORT MEMBRANES FOR VISION 21 FOSSIL FUEL PLANTS

    SciTech Connect (OSTI)

    Shane E. Roark; Tony F. Sammells; Richard A. Mackay; Lyrik Y. Pitzman; Alexandra Z. LaGuardia; Tom F. Barton; Sara L. Rolfe; Richard N. Kleiner; James E. Stephan; Mike J. Holmes; Aaron L. Wagner

    2001-10-30

    Eltron Research Inc., and team members CoorsTek, McDermott Technology, Inc., Sued Chemie, Argonne National Laboratory and Oak Ridge National Laboratory are developing an environmentally benign, inexpensive, and efficient method for separating hydrogen from gas mixtures produced during industrial processes, such as coal gasification. This project was motivated by the National Energy Technology Laboratory (NETL) Vision 21 initiative which seeks to economically eliminate environmental concerns associated with the use of fossil fuels. This objective is being pursued using dense membranes based in part on Eltron-patented ceramic materials with a demonstrated ability for proton and electron conduction. The technical goals are being addressed by modifying single-phase and composite membrane composition and microstructure to maximize proton and electron conductivity without loss of material stability. Ultimately, these materials must enable hydrogen separation at practical rates under ambient and high-pressure conditions, without deactivation in the presence of feedstream components such as carbon dioxide, water, and sulfur. During this quarter, mixed proton/electron conductivity and hydrogen transport was measured as a function of metal phase content for a range of ceramic/metal (cermet) compositions. It was found that optimum performance occurred at 44 wt.% metal content for all compositions tested. Although each cermet appeared to have a continuous metal phase, it is believed that hydrogen transport increased with increasing metal content partially due to beneficial surface catalyst characteristics resulting from the metal phase. Beyond 44 wt.% there was a reduction in hydrogen transport most likely due to dilution of the proton conducting ceramic phase. Hydrogen separation rates for 1-mm thick cermet membranes were in excess of 0.1 mL/min/cm{sup 2}, which corresponded to ambipolar conductivities between 1 x 10{sup -3} and 8 x 10{sup -3} S/cm. Similar results were obtained for multiphase ceramic membranes comprised of a proton-conducting perovskite and electron conducting metal oxide. These multi-phase ceramic membranes showed only a slight improvement in hydrogen transport upon addition of a metal phase. The highest hydrogen separation rates observed this quarter were for a cermet membrane containing a hydrogen transport metal. A 1-mm thick membrane of this material achieved a hydrogen separation rate of 0.3 mL/min/cm{sup 2} at only 700 C, which increased to 0.6 mL/min/cm{sup 2} at 950 C.

  10. ADVANCED HYDROGEN TRANSPORT MEMBRANES FOR VISION 21 FOSSIL FUEL PLANTS

    SciTech Connect (OSTI)

    Shane E. Roark; Anthony F. Sammells; Richard A. Mackay; Lyrik Y. Pitzman; Thomas A. Zirbel; Stewart R. Schesnack; Thomas F. Barton; Sara L. Rolfe; U. (Balu) Balachandran; Richard N. Kleiner; James E. Stephan; Frank E. Anderson; Aaron L. Wagner; Jon P. Wagner

    2003-01-30

    Eltron Research Inc., and team members CoorsTek, Sued Chemie, and Argonne National Laboratory are developing an environmentally benign, inexpensive, and efficient method for separating hydrogen from gas mixtures produced during industrial processes, such as coal gasification. This project was motivated by the National Energy Technology Laboratory (NETL) Vision 21 initiative which seeks to economically eliminate environmental concerns associated with the use of fossil fuels. This objective is being pursued using dense membranes based in part on Eltron-patented ceramic materials with a demonstrated ability for proton and electron conduction. The technical goals are being addressed by modifying composite membrane composition and microstructure to maximize hydrogen permeation without loss of material stability. Ultimately, these materials must enable hydrogen separation at practical rates under ambient and high-pressure conditions, without deactivation in the presence of feedstream components such as carbon dioxide, water, and sulfur. During this quarter, a composite metal membrane based on an inexpensive hydrogen permeable metal achieved permeation rates in excess of 25 mL/min/cm{sup 2}. Preliminary attempts to incorporate this metal into a cermet were successful, and a thick cermet membrane (0.83 mm) with 40 vol.% metal phase achieved a permeation rate of nearly 0.4 mL/min/cm{sup 2}. Increasing the metal phase content and decreasing membrane thickness should significantly increase permeation, while maintaining the benefits derived from cermets. Two-phase ceramic/ceramic composite membranes had low hydrogen permeability, likely due to interdiffusion of constituents between the phases. However, these materials did demonstrate high resistance to corrosion, and might be good candidates for other composite membranes. Temperature-programmed reduction measurements indicated that model cermet materials absorbed 2.5 times as much hydrogen than the pure ceramic analogs. This characteristic, in addition to higher electron conductivity, likely explains the relatively high permeation for these cermets. Incorporation of catalysts with ceramics and cermets increased hydrogen uptake by 800 to more than 900%. Finally, new high-pressure seals were developed for cermet membranes that maintained a pressure differential of 250 psi. This result indicated that the approach for high-pressure seal development could be adapted for a range of compositions. Other items discussed in this report include mechanical testing, new proton conducting ceramics, supported thin films, and alkane to olefin conversion.

  11. ADVANCED HYDROGEN TRANSPORT MEMBRANES FOR VISION 21 FOSSIL FUEL PLANTS

    SciTech Connect (OSTI)

    Shane E. Roark; Anthony F. Sammells; Richard A. Mackay; Lyrik Y. Pitzman; Thomas A. Zirbel; Thomas F. Barton; Sara L. Rolfe; U. (Balu) Balachandran; Richard N. Kleiner; James E. Stephan; Frank E. Anderson; George Farthing; Dan Rowley; Tim R. Armstrong; M.K. Ferber; Aaron L. Wagner; Jon P. Wagner

    2002-07-30

    Eltron Research Inc. and their team members are developing an environmentally benign, inexpensive, and efficient method for separating hydrogen from gas mixtures produced during industrial processes, such as coal gasification. This project was motivated by the National Energy Technology Laboratory (NETL) Vision 21 initiative which seeks to economically eliminate environmental concerns associated with the use of fossil fuels. This objective is being pursued using dense membranes based in part on Eltron-patented ceramic materials with a demonstrated ability for proton and electron conduction. The technical goals are being addressed by modifying single-phase and composite membrane composition and microstructure to maximize proton and electron conductivity without loss of material stability. Ultimately, these materials must enable hydrogen separation at practical rates under ambient and high-pressure conditions, without deactivation in the presence of feedstream components such as carbon dioxide, water, and sulfur. During this quarter, new cermet compositions were tested that demonstrated similar performance to previous materials. A 0.5-mm thick membrane achieved at H{sub 2} transport rate of 0.2 mL/min/cm{sup 2} at 950 C, which corresponded to an ambipolar conductivity of 3 x 10{sup -3} S/cm. Although these results were equivalent to those for other cermet compositions, this new composition might be useful if it demonstrates improved chemical or mechanical stability. Ceramic/ceramic composite membranes also were fabricated and tested; however, some reaction did occur between the proton- and electron-conducting phases, which likely compromised conductivity. This sample only achieved a H{sub 2} transport rate of {approx} 0.006 mL/min/cm{sup 2} and an ambipolar conductivity of {approx}4 x 10{sup -4} S/cm. Chemical stability tests were continued, and candidate ceramic membranes were found to react slightly with carbon monoxide under extreme testing conditions. A cermet compositions did not show any reaction with carbon monoxide, but a thick layer of carbon formed on the membrane surface. The most significant technical accomplishment this quarter was a new high-pressure seal composition. This material maintained a pressure differential across the membrane of {approx} 280 psi at 800 C, and is still in operation.

  12. Storage resource manager

    SciTech Connect (OSTI)

    Perelmutov, T.; Bakken, J.; Petravick, D.; /Fermilab

    2004-12-01

    Storage Resource Managers (SRMs) are middleware components whose function is to provide dynamic space allocation and file management on shared storage components on the Grid[1,2]. SRMs support protocol negotiation and reliable replication mechanism. The SRM standard supports independent SRM implementations, allowing for a uniform access to heterogeneous storage elements. SRMs allow site-specific policies at each location. Resource Reservations made through SRMs have limited lifetimes and allow for automatic collection of unused resources thus preventing clogging of storage systems with ''orphan'' files. At Fermilab, data handling systems use the SRM management interface to the dCache Distributed Disk Cache [5,6] and the Enstore Tape Storage System [15] as key components to satisfy current and future user requests [4]. The SAM project offers the SRM interface for its internal caches as well.

  13. Window Types | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann Jackson About1996HowFOAShowingFuelWeatherize » AirareAbout Key ActivitiesWindow Types

  14. Window Types | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsofProgram: Report1538-1950DepartmentWaveWind Program R&DResearchWindow Types

  15. Climate Vision Progress Report 2007 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-in electric vehicle (PEV) chargingWASHINGTON, DCTheBelow are resources forAn

  16. World Shale Resource Assessments

    Reports and Publications (EIA)

    2015-01-01

    Four countries: Chad, Kazakhstan, Oman and the United Arab Emirates (UAE) have been added to report “Technically Recoverable Shale Oil and Shale Gas Resources.” The report provides an estimate of shale resources in selected basins around the world. The new chapters cover shale basins from the Sub-Saharan Africa region, represented by Chad; the Caspian region, represented by Kazakhstan; and the Middle East region, represented by Oman and the United Arab Emirates (UAE) and are available as supplemental chapters to the 2013 report.

  17. Teacher Resource Kit

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired Solar Fuel ProductionRecoverable UserTeacher Resource Kit This kit

  18. Resources | Critical Materials Institute

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid youOxygen Generation |Publications| BlandineResearchResourcesIn

  19. ARM - CHAPS: Campaign Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.TheoryTuesday, August 10, 20102016StudyCHAPS: Campaign Resources Campaign Details

  20. Resources & Links

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100Nationalquestionnaires 0serial codes on loginResonantResources-and-Links

  1. Hydrothermal Resources Fact Sheet

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nA Guide to TappingWORKof71 Hydrogen and Fuel Cells Successone of theResources

  2. Employee, Retiree Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you not find what youSummer InternshipPowerEmergingResources

  3. Manhattan Project: Resources

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing(Journalspectroscopy ofArticle)SciTechNorris Bradbury,Cubes of1945 RESOURCES

  4. LANSCE | Lujan Center | Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse Bergkamp Graduate student Subtask2 J.N.openNeutronUser Resources The links

  5. Energy Resource Potential

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submitKansasCommunities EnergyU.S. DOE Office of99 Diagram4th, 2014Resource Potential

  6. Sandia Energy - Resource Assessment

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal EnergyRenewable Energy Integration HomeResilientResource

  7. Types of Reuse

    Broader source: Energy.gov [DOE]

    The following provides greater detail regarding the types of reuse pursued for LM sites. It should be noted that many actual reuses combine several types of the uses listed below.

  8. Wind Vision: A New Era for Wind Power in the United States

    SciTech Connect (OSTI)

    U.S. Department of Energy

    2015-03-12

    With more than 4.5% of the nation's electricity supplied by wind energy today, the Department of Energy has collaborated with industry, environmental organizations, academic institutions, and national laboratories to develop a renewed Wind Vision, documenting the contributions of wind to date and envisioning a future where wind continues to provide key contributions to the nation’s energy portfolio. Building on and updating the 2008 20% Wind Energy by 2030 report, the new Wind Vision Report quantifies the economic, environmental, and social benefits of a robust wind energy future and the actions that wind stakeholders can take to make it a reality.

  9. Energy Efficiency Resource Standard | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, AlabamaETEC GmbH JumpEllenville, NewLtd EILEnergy Datadata Type TermtermResource

  10. The Resource Identification Initiative: A cultural shift in publishing

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

    Bandrowski, Anita; Brush, Matthew; Grethe, Jeffery S.; Haendel, Melissa A.; Kennedy, David N.; Hill, Sean; Hof, Patrick R.; Martone, Maryann E.; Pols, Maaike; Tan, Serena; et al

    2015-05-29

    A central tenet in support of research reproducibility is the ability to uniquely identify research resources, i.e., reagents, tools, and materials that are used to perform experiments. However, current reporting practices for research resources are insufficient to allow humans and algorithms to identify the exact resources that are reported or answer basic questions such as “What other studies used resource X?” To address this issue, the Resource Identification Initiative was launched as a pilot project to improve the reporting standards for research resources in the methods sections of papers and thereby improve identifiability and reproducibility. The pilot engaged over 25more »biomedical journal editors from most major publishers, as well as scientists and funding officials. Authors were asked to include Research Resource Identifiers (RRIDs) in their manuscripts prior to publication for three resource types: antibodies, model organisms, and tools (including software and databases). RRIDs represent accession numbers assigned by an authoritative database, e.g., the model organism databases, for each type of resource. To make it easier for authors to obtain RRIDs, resources were aggregated from the appropriate databases and their RRIDs made available in a central web portal (www.scicrunch.org/resources). RRIDs meet three key criteria: they are machine readable, free to generate and access, and are consistent across publishers and journals. The pilot was launched in February of 2014 and over 300 papers have appeared that report RRIDs. The number of journals participating has expanded from the original 25 to more than 40. Here, we present an overview of the pilot project and its outcomes to date. We show that authors are generally accurate in performing the task of identifying resources and supportive of the goals of the project. We also show that identifiability of the resources pre- and post-pilot showed a dramatic improvement for all three resource types, suggesting that the project has had a significant impact on reproducibility relating to research resources.« less

  11. The Resource Identification Initiative: A cultural shift in publishing

    SciTech Connect (OSTI)

    Bandrowski, Anita; Brush, Matthew; Grethe, Jeffery S.; Haendel, Melissa A.; Kennedy, David N.; Hill, Sean; Hof, Patrick R.; Martone, Maryann E.; Pols, Maaike; Tan, Serena; Washington, Nicole; Zudilova-Seinstra, Elena; Vasilevsky, Nicole

    2015-05-29

    A central tenet in support of research reproducibility is the ability to uniquely identify research resources, i.e., reagents, tools, and materials that are used to perform experiments. However, current reporting practices for research resources are insufficient to allow humans and algorithms to identify the exact resources that are reported or answer basic questions such as “What other studies used resource X?” To address this issue, the Resource Identification Initiative was launched as a pilot project to improve the reporting standards for research resources in the methods sections of papers and thereby improve identifiability and reproducibility. The pilot engaged over 25 biomedical journal editors from most major publishers, as well as scientists and funding officials. Authors were asked to include Research Resource Identifiers (RRIDs) in their manuscripts prior to publication for three resource types: antibodies, model organisms, and tools (including software and databases). RRIDs represent accession numbers assigned by an authoritative database, e.g., the model organism databases, for each type of resource. To make it easier for authors to obtain RRIDs, resources were aggregated from the appropriate databases and their RRIDs made available in a central web portal (www.scicrunch.org/resources). RRIDs meet three key criteria: they are machine readable, free to generate and access, and are consistent across publishers and journals. The pilot was launched in February of 2014 and over 300 papers have appeared that report RRIDs. The number of journals participating has expanded from the original 25 to more than 40. Here, we present an overview of the pilot project and its outcomes to date. We show that authors are generally accurate in performing the task of identifying resources and supportive of the goals of the project. We also show that identifiability of the resources pre- and post-pilot showed a dramatic improvement for all three resource types, suggesting that the project has had a significant impact on reproducibility relating to research resources.

  12. Enhanced Prognosis for Abiotic Natural Gas and Petroleum Resources

    E-Print Network [OSTI]

    Herndon, J M

    2006-01-01

    The prognosis for potential resources of abiotic natural gas and petroleum depends critically upon the nature and circumstances of Earth formation. Until recently, that prognosis has been considered solely within the framework of the so-called "standard model of solar system formation", which is incorrect and leads to the contradiction of terrestrial planets having insufficiently massive cores. By contrast, that prognosis is considerably enhanced (i) by the new vision I have disclosed of Earth formation as a Jupiter-like gas giant; (ii) by core formation contemporaneous with raining out from within a giant gaseous protoplanet rather than through subsequent whole-Earth re-melting after loss of gases; (iii) by the consequences of whole-Earth decompression dynamics, which obviates the unfounded assumption of mantle convection, and; (iv) by the process of mantle decompression thermal-tsunami. The latter, in addition to accounting for much of the heat leaving the Earth's surface, for the geothermal gradient observ...

  13. 3D Model Selection from an Internet Database for Robotic Vision Ulrich Klank, Muhammad Zeeshan Zia and Michael Beetz

    E-Print Network [OSTI]

    Schindler, Konrad

    3D Model Selection from an Internet Database for Robotic Vision Ulrich Klank, Muhammad Zeeshan Zia models that are searchable only by their user-annotated labels, for using them for vision and robotic increase the visual recognition capability of robots, also poses certain problems, like wrong annotation

  14. Acquisition of a Dense 3D Model Database for Robotic Vision Muhammad Zeeshan Zia, Ulrich Klank, and Michael Beetz

    E-Print Network [OSTI]

    Schindler, Konrad

    Acquisition of a Dense 3D Model Database for Robotic Vision Muhammad Zeeshan Zia, Ulrich Klank, and Michael Beetz Abstract-- Service Robots in real world environments need to have computer vision capability robots to know the appearance of a wide variety of objects in human environments with special application

  15. In European Conference on Computer Vision (ECCV), Florence, Italy, 2012 p.1 Fast Fusion Moves for Multi-Model Estimation

    E-Print Network [OSTI]

    Toronto, University of

    In European Conference on Computer Vision (ECCV), Florence, Italy, 2012 p.1 Fast Fusion Moves move-making methods like -expansion and fusion. We also show that our subproblem can be quickly trans is an optimized crossover [11], or a fusion move [12] as more commonly known in computer vision. Though [12

  16. Forest Resources and Management

    E-Print Network [OSTI]

    the forest resource. Our aim is that British forests ­ from their creation to maturity and regeneration and harvesting, and the physical properties of stands, trees and timber. Scope of our work Our research focuses expertise in forecasting forest growth is now applied to carbon assessment and management. We also work

  17. Water Resources Milind Sohoni

    E-Print Network [OSTI]

    Sohoni, Milind

    TD 603 Water Resources Milind Sohoni www.cse.iitb.ac.in/sohoni/ Lecture 6: Mathematics, z). velocity vx (x, y, z, t) : in the x-direction. vx = Kx h/x saturated/water- table. Continuity Equation What is vx x + vy y + vz z ? It is the rate of accumulation of water at the point (x, y

  18. Water Resources Milind Sohoni

    E-Print Network [OSTI]

    Sohoni, Milind

    TD 603 Water Resources Milind Sohoni www.cse.iitb.ac.in/sohoni/ Lecture 1: A Perspective () July 20, 2012 1 / 17 #12;Outline Two parts: The technical side to water. -M. Sohoni The basic hydrological cycle. The societal side to water. -N. C. Narayanan () July 20, 2012 2 / 17 #12;Texts Applied Hydrogeology, by C. W

  19. Generating Resources Advisory Committee

    E-Print Network [OSTI]

    Generating Resources Advisory Committee May 28, 2014 Steve Simmons Gillian Charles #12;2 9:30 AM plants 10:45 AM Break 11:00 AM Peaking Technologies Continued... 11:30 AM Combined Cycle Combustion Turbine and Utility Scale Solar PV Reference plant updates Levelized cost of energy 12:00 PM Lunch

  20. Generating Resources Advisory Committee

    E-Print Network [OSTI]

    Generating Resources Advisory Committee February 27, 2014 Steven Simmons and Gillian Charles Upcoming Symposium 9:15 am Natural Gas Peaking Technologies Technology Trends Proposed reference plant Costing, Economies of Scale, Normalizations Reference Plants 12:30 pm Discussion of Next GRAC Meetings