National Library of Energy BETA

Sample records for openei web traffic

  1. OpenEI Community - web services

    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, Oregon:OGE EnergyOklahoma:Visualizing OpenEI

  2. A Methodology for Estimating Interdomain Web Traffic Demand

    E-Print Network [OSTI]

    Maggs, Bruce M.

    A Methodology for Estimating Interdomain Web Traffic Demand Anja Feldmann , Nils Kammenhuber-varying) interdomain HTTP traffic demand matrix pairing several hundred thousand blocks of client IP addresses, Traffic demand, Interdomain, Es- timation 1. INTRODUCTION The reliable estimation and prediction

  3. Signing Me onto Your Accounts through Facebook and Google: a Traffic-Guided Security Study of Commercially Deployed Single-Sign-On Web Services

    E-Print Network [OSTI]

    Wang, XiaoFeng

    1 Signing Me onto Your Accounts through Facebook and Google: a Traffic-Guided Security Study "field study" on popular web SSO systems. Our approach is to mechanically analyze the actual web traffic, such as OpenID (including Google ID and PayPal Access), Facebook, JanRain, Freelancer, FarmVille, Sears

  4. Energy Information, Data, and other Resources | OpenEI

    Open Energy Info (EERE)

    Explore our available Web services. REST - provides a RESTful wrapper around high-value data. Term extraction & content recommendation engine Documentation Also see: OpenEI search...

  5. Energy Information, Data, and other Resources | OpenEI

    Open Energy Info (EERE)

    provides inline queries in the form of an Ask query, which can also be modified into a web service (see OpenEI REST services documentation). Ask queries can be executed here and...

  6. Web-based Training for Development of Traffic Analysis Technical Skills SP&R, Part I Special Studies Request

    E-Print Network [OSTI]

    Detwiler, Russell

    ) to include system monitoring and evaluation, maintenance and preservation, transportation demand management regional/local partners that will provide a foundation for traffic analysis technical skills. The knowledge base will help managers and staff within our Department to make practical and realistic decisions

  7. Reverse Engineering User Behaviors From Network Traffic

    E-Print Network [OSTI]

    Xie, Guowu

    2013-01-01

    of user requests to web pages with beacon, ad, and either inof modern web traffic and web-pages, Ihm et al. proposed abeacons to track their web pages and objects. Intuitively,

  8. What Can OpenEI Do For You?

    ScienceCinema (OSTI)

    None

    2013-05-29

    Open Energy Information (OpenEI) is an open source web platform?similar to the one used by Wikipedia?developed by the US Department of Energy (DOE) and the National Renewable Energy Laboratory (NREL) to make the large amounts of energy-related data and information more easily searched, accessed, and used both by people and automated machine processes. Built utilizing the standards and practices of the Linked Open Data community, the OpenEI platform is much more robust and powerful than typical web sites and databases. As an open platform, all users can search, edit, add, and access data in OpenEI for free. The user community contributes the content and ensures its accuracy and relevance; as the community expands, so does the content's comprehensiveness and quality. The data are structured and tagged with descriptors to enable cross-linking among related data sets, advanced search functionality, and consistent, usable formatting. Data input protocols and quality standards help ensure the content is structured and described properly and derived from a credible source. Although DOE/NREL is developing OpenEI and seeding it with initial data, it is designed to become a true community model with millions of users, a large core of active contributors, and numerous sponsors.

  9. web services | 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 LIST OFAMERICA'SHeavyAgencyTendo NewYanbu, Saudideveloper Homeroadmap Homeutility

  10. web service | 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 ECoop IncIowa (UtilityMichigan)data bookresult formats Homestormtextutilityversionweb

  11. OpenEI Community - web service

    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 JumpQuarterly Smart Grid Data available for downloadGRR 3rdNevada Meeting #2 -

  12. Got Traffic? An Evaluation of Click Traffic Providers Qing Zhang, Thomas Ristenpart

    E-Print Network [OSTI]

    Wang, Deli

    and Subject Descriptors H.3.5 [Information Systems]: On-line Information Service--Com- mercial services, Web- ondary traffic-selling ecosystem -- comprising traffic vendors who will contract to deliver clicks

  13. The authors review a log of billions of Web queries that constituted the total query traffic for a 6-month period of

    E-Print Network [OSTI]

    change over time is critical to developing effective, efficientWeb search services.TheWeb is a dynamic

  14. Scaling the Web Scaling Web Sites

    E-Print Network [OSTI]

    Menascé, Daniel A.

    Scaling the Web Scaling Web Sites Through Caching A large jump in a Web site's traffic may indi, pushing the site's through- put to its maximum point. When a Web site becomes overloaded, cus- tomers grow-generated revenue and may even tarnish the reputation of organizations relying on Web sites to support mission

  15. [1] E. P. Freire, A. Ziviani, and R. M. Salles. Detecting VoIP calls hidden in web traffic. IEEE Transactions on Network and Service Management, 5(4):204-214, Dec. 2008. [ bib | DOI

    E-Print Network [OSTI]

    Briesemeister, Linda

    generated traffic by using real-world experimental data gathered at a commercial Internet Service Provider. Aracil, J. E. L. de Vergara, and S. Lopez-Buedo. Characterization of the busy-hour traffic of ip networks ] Internet traffic measurements collected during the busy hour constitute a key tool to evaluate

  16. Visualizing OpenEI Data | 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 ECoop IncIowa (Utility Company)Idaho) JumpWinside,Visualization HomeVisualizing OpenEI

  17. OpenEI Community - imported

    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, Oregon:OGE EnergyOklahoma:Visualizing OpenEI Data

  18. OpenEI Community - permitting

    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, Oregon:OGE EnergyOklahoma:Visualizing OpenEI DataTexas Legal

  19. OpenEI Community - roadmap

    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, Oregon:OGE EnergyOklahoma:Visualizing OpenEI DataTexas

  20. town | 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 ECoop IncIowa (UtilityMichigan)data bookresult formats Homestormtext intown Home OpenEI

  1. Deep Web Web Deep Web Web

    E-Print Network [OSTI]

    Deep Web 100872 Deep Web Web Deep Web Web Web Deep Web Deep Web TP391 A Uncertain Schema Matching in Deep Web Integration Service JIANG Fang-Jiao MENG Xiao-Feng JIA Lin-Lin (School of Information, Renmin University of China, Beijing, 100872) Abstract: With increasing of Deep Web, providing

  2. Fermilab | Traffic Safety at Fermilab |

    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 (Journal Article) | SciTechSubmitted MoreTraffic Safety Traffic Citation

  3. Scaling the Web Load Testing

    E-Print Network [OSTI]

    Menascé, Daniel A.

    Scaling the Web Load Testing of Web Sites D evelopers typically measure a Web appli- cation on a Web site's IT infrastructure are a function of the site's expect- ed traffic. Ideally, you want, you shouldn't upgrade your Web servers if customers experience most delays in the database server

  4. World Wide WebWWWDeep Web Web Deep Web

    E-Print Network [OSTI]

    Deep Web Web World Wide WebWWWDeep Web Web Deep Web Deep Web Deep Web Deep Web Deep Web 1 World Wide Web [1] Web 200,000TB Web Web Web Internet Web Web Web "" Surface Web Deep Web Surface Web 21.3% Surface Web Deep Web [2] Deep Web Web Crawler Deep Web 1 Web

  5. How do I add tariffs into the OpenEI database | OpenEI Community

    Open Energy Info (EERE)

    database Home > Groups > Utility Rate Greetings: I am in Arizona APS territory where demand based residential tariffs are comming. I see NREL-SAM uses OpenEI as its database for...

  6. WebDeep Web Surface Web

    E-Print Network [OSTI]

    Web WebWeb WebWeb WebHTML Web WebDeep Web Surface Web " " Deep Web21 Dot-ComWebWeb2.0 WebWeb ""Web WebWeb Deep Web WebWeb SNS Web WebWeb 20017BrightPlanet.comDeep Web Web43,000-96,000Web7,500TB(Surface Web500) UIUCDeep Web2004Deep Web 307,000366,000-535,000 WebDeep Web "" Deep Web 1 Web Web #12

  7. Towards Understanding Modern Web Traffic Sunghwan Ihm

    E-Print Network [OSTI]

    Pai, Vivek

    ­ the United States (US) in North America, Brazil (BR) in South America, China (CN) in Asia, and France (FR type dis- tribution changes in the United States, France, and Brazil from 2006 to 2010, connected

  8. Comparative Traffic Performance Analysis of Urban Transportation Network Structures

    E-Print Network [OSTI]

    Amini, Behnam; Mojarradi, Morteza; Derrible, Sybil

    2015-01-01

    The network structure of an urban transportation system has a significant impact on its traffic performance. This study uses network indicators along with several traffic performance measures including speed, trip length, travel time, and traffic volume, to compare a selection of seven transportation networks with a variety of structures and under different travel demand conditions. The selected network structures are: modified linear, branch, grid, 3-directional grid, 1-ring web, 2-ring web, and radial. For the analysis, a base origin-destination matrix is chosen, to which different growth factors are applied in order to simulate various travel demand conditions. Results show that overall the 2-ring web network offers the most efficient traffic performance, followed by the grid and the 1-ring networks. A policy application of this study is that the branch, 3-directional grid, and radial networks are mostly suited for small cities with uncongested traffic conditions. In contrast, the 2-ring web, grid, and 1-r...

  9. Exploration Best Practices and the OpenEI Knowledge Exchange...

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

    Exploration Best Practices and the OpenEI Knowledge Exchange Webinar slide presentation by Katherine Young, Timothy Reber and Kermit Witherbee on April 11, 2012....

  10. Agents, Bookmarks and Clicks: A topical model of Web navigation

    E-Print Network [OSTI]

    Ramasco, José Javier

    Agents, Bookmarks and Clicks: A topical model of Web navigation Mark R. Meiss1,3 Bruno Gonçalves1 has shown that the standard Markovian model of Web navigation is a poor predictor of actual Web traffic. Using empirical data, we characterize several properties of Web traffic that cannot be reproduced

  11. Modeling Traffic Flow Emissions

    E-Print Network [OSTI]

    Cappiello, Alessandra

    2002-09-17

    The main topic of this thesis is the development of light-duty vehicle dynamic emission models and their integration with dynamic traffic models. Combined, these models

  12. The National Traffic Safety Summit Traffic Incident Management, Traffic Homicide Investigation and Mitigation Strategies

    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 With U.S.Week Day Year(activeInforumMILC The NERSCIgnitionTraffic

  13. Jobtong Deep Web Web""Surface WebDeep Web

    E-Print Network [OSTI]

    Jobtong Deep Web Web Web Web""Surface WebDeep Web Surface WebDeep Web Web[1] 20007BrightPlanet.comDeep Web[2] Web43,000-96,000Web7,500TB(Surface Web500) UIUC5Deep Web[3]2004Deep Web 307,000366,000-535,000"" Deep Web""Google Yahoo32%Deep Web WAMDMWebDeep WebJobtong Deep Web (Jobtong) Jobtong(, http

  14. What's in a Session: Tracking Individual Behavior on the Web

    E-Print Network [OSTI]

    Ramasco, José Javier

    What's in a Session: Tracking Individual Behavior on the Web Mark Meiss1,2 mmeiss@indiana.edu John to discover novel properties of Web traffic that directly affect models of hypertext navigation. We find that the popularity of Web sites--the number of users who contribute to their traffic--lacks any intrinsic mean

  15. air traffic the polytechnic school

    E-Print Network [OSTI]

    air traffic management the polytechnic school innovation.asu.edu #12;undergraduate degree program B.S., air traffic management Our undergraduate air traffic management program offers students exceptional training and state-of-the-art air traffic control simulators to enhance and reinforce classroom study. You

  16. OpenEI Community - utility rate

    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, Oregon:OGE EnergyOklahoma:Visualizing OpenEI DataTexasVersion

  17. OpenEI and Linked Open Data

    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 and ReduceNovemberDOE'sManagementOpenEI and Linked Open Data OpenEI:

  18. Idaho Meeting #1 | 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 APPENDIXsource History View NewGuam:on Openei | Open Energy2010)Texas) JumpFish &IS 61

  19. Idaho Meeting #2 | 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 APPENDIXsource History View NewGuam:on Openei | Open Energy2010)Texas) JumpFish &IS 61Idaho

  20. Invisible Entries | 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 APPENDIXsource History View NewGuam:on OpeneiAlbanianStudy) (Webinar) | OpenInvenergyInvisible

  1. OpenEI Community - Smartgrid.gov

    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 JumpQuarterly Smart Grid Data available for download on OpenEI

  2. OpenEI Community - Sodium hypochlorite Market

    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 JumpQuarterly Smart Grid Data available for download on OpenEI

  3. Developpement web Developpement web

    E-Print Network [OSTI]

    Matthieu, Basseur

    D´eveloppement web D´eveloppement web Caroline DEVRED, librement adapt´e par Matthieu BASSEUR Universit´e d'Angers 1/230 D´eveloppement web Plan XHTML et CSS Introduction Introduction `a XHTML Javascript Introduction La base Les formulaires Quelques ´ev`enements javascript 2/230 D´eveloppement web

  4. Traffic of Molecular Motors

    E-Print Network [OSTI]

    Stefan Klumpp; Melanie J. I. Müller; Reinhard Lipowsky

    2005-12-06

    Molecular motors perform active movements along cytoskeletal filaments and drive the traffic of organelles and other cargo particles in cells. In contrast to the macroscopic traffic of cars, however, the traffic of molecular motors is characterized by a finite walking distance (or run length) after which a motor unbinds from the filament along which it moves. Unbound motors perform Brownian motion in the surrounding aqueous solution until they rebind to a filament. We use variants of driven lattice gas models to describe the interplay of their active movements, the unbound diffusion, and the binding/unbinding dynamics. If the motor concentration is large, motor-motor interactions become important and lead to a variety of cooperative traffic phenomena such as traffic jams on the filaments, boundary-induced phase transitions, and spontaneous symmetry breaking in systems with two species of motors. If the filament is surrounded by a large reservoir of motors, the jam length, i.e., the extension of the traffic jams is of the order of the walking distance. Much longer jams can be found in confined geometries such as tube-like compartments.

  5. Mashups--Web Web Internet

    E-Print Network [OSTI]

    Mashups-- Web Web 1. Web Internet mashup Wikipedia Mashup web api web Web Internet Mashup public APIs, XML/RSS/Atom feeds, web services, HTML Mashup Web 2.0 Web 2.0 Mashup Web Web Web api eBay, Amazon, Google and Yahoos APIs Mashups Web Mashup Mashup 2. Mashup [2] Mashup

  6. The Influence of Web Page Images on the Performance of Web Servers

    E-Print Network [OSTI]

    Murphy, John

    The Influence of Web Page Images on the Performance of Web Servers Cristina Hava Muntean, Jennifer. In recent years World Wide Web traffic has shown phenomenal growth. The main causes are the continuing increase in the number of people navigating the Internet and the creation of millions of new Web sites

  7. 1 SIDE CONSTRAINED TRAFFIC EQUILIBRIUM MODELS---TRAFFIC

    E-Print Network [OSTI]

    Patriksson, Michael

    i #12; #12; 1 SIDE CONSTRAINED TRAFFIC EQUILIBRIUM MODELS---TRAFFIC MANAGEMENT THROUGH LINK TOLLS in the inelastic demand case; this fact enables the traffic manager to choose a toll scheme which satisfies flow restrictions as side constraints. The set of toll prices obtained is not necessarily unique

  8. LUNAR SOIL SIMULATION TRAFFICABILITY PARAMETERS

    E-Print Network [OSTI]

    Rathbun, Julie A.

    LUNAR SOIL SIMULATION and TRAFFICABILITY PARAMETERS by W. David Carrier, III Lunar Geotechnical.0 RECOMMENDED LUNAR SOIL TRAFFICABILITY PARAMETERS Table 9.14 in the Lunar Sourcebook (Carrier et al. 1991, p. 529) lists the current recommended lunar soil trafficability parameters: bc = 0.017 N/cm2 bN = 35° K

  9. OpenEI launches new Water Power Gateway and Community Forum | OpenEI

    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'S FUTURE.EnergyWoodenDate RecCompetition andCommunity OpenEI

  10. Hybrid Traffic Data Collection Roadmap: Pilot Procurement of Third-Party Traffic Data

    E-Print Network [OSTI]

    Alexandre, Bayen

    2013-01-01

    TRAFFIC DATA COLLECTION ROADMAP: PILOT PROCUREMENT OF THIRD-TRAFFIC DATA COLLECTION ROADMAP: PILOT PROCUREMENT OF THIRD-Traffic Data Collection Roadmap project (Task Orders 1 and

  11. Widget:Motion Chart Visualization of OpenEI Traffic Statistics | Open

    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 IncIowa (Utility Company)Idaho)VosslohWest PlainsAssn, IncEnergy Information

  12. Real-Time Traffic Maps

    E-Print Network [OSTI]

    Goldsberry, Kirk Patrick

    2007-01-01

    Philosophy in Geography by Kirk Patrick Goldsberry Committee2007 The dissertation of Kirk Patrick Goldsberry isTraffic Maps Copyright © 2007 by Kirk Patrick Goldsberry iii

  13. Open Energy Info (OpenEI) (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-12-01

    The Open Energy Information (OpenEI.org) initiative is a free, open-source, knowledge-sharing platform. OpenEI was created to provide access to data, models, tools, and information that accelerate the transition to clean energy systems through informed decisions.

  14. Wireless sensor networks for measuring traffic

    E-Print Network [OSTI]

    Varaiya, Pravin

    Wireless sensor networks for measuring traffic University of California, Berkeley Sing Yiu Cheung, Sinem Coleri, and Pravin Varaiya 2 Outline · Traffic measurement · Wireless Sensor Networks · Vehicle wireless sensor networks compete? 7 Outline · Traffic measurement · Wireless Sensor Networks · Vehicle

  15. Internet Traffic Measurement Carey Williamson

    E-Print Network [OSTI]

    Williamson, Carey

    Internet Traffic Measurement Carey Williamson Department of Computer Science University of Calgary in the design, testing, and evaluation of Internet protocols and applications. The article begins with some background information on Internet traffic measurement, and then proceeds to discuss the "tools of the trade

  16. Traffic information computing platform for big data

    SciTech Connect (OSTI)

    Duan, Zongtao Li, Ying Zheng, Xibin Liu, Yan Dai, Jiting Kang, Jun

    2014-10-06

    Big data environment create data conditions for improving the quality of traffic information service. The target of this article is to construct a traffic information computing platform for big data environment. Through in-depth analysis the connotation and technology characteristics of big data and traffic information service, a distributed traffic atomic information computing platform architecture is proposed. Under the big data environment, this type of traffic atomic information computing architecture helps to guarantee the traffic safety and efficient operation, more intelligent and personalized traffic information service can be used for the traffic information users.

  17. Temporary Pedestrian & Vehicular Traffic Flow Typical Conditions

    E-Print Network [OSTI]

    Kamat, Vineet R.

    Temporary Pedestrian & Vehicular Traffic Flow Typical Conditions Winter 2014 Ann Arbor - Ross 900150 Feet Pedestrian Route Existing Building Construction Area Traffic Detour Temporary Transit Stop

  18. Web Search. Web Spidering Introduction

    E-Print Network [OSTI]

    Inkpen, Diana

    1 Web Search. Web Spidering Introduction #12;2 Outline · Information Retrieval applied on the Web · The Web ­ the largest collection of documents available today ­Still, a collection ­Should be able to apply "traditional" IR techniques, with few changes · Web Search · Spidering #12;3 Web Search Using IR

  19. Intelligent Traffic Light Control Marco Wiering

    E-Print Network [OSTI]

    Utrecht, Universiteit

    an adaptive optimization al- gorithm based on reinforcement learning. We have implemented a traffic light different traffic light controllers. Experimental results indicate that our adaptive traffic lightIntelligent Traffic Light Control Marco Wiering Jelle van Veenen Jilles Vreeken Arne Koopman

  20. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding/23/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;T : GW - KM - DP & +VAR FV 3D Risk-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;12/23/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT

  1. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;T : GW - KM - DP & High Tan + CFV 3D Risk Profile All FV-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;12/13/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT

  2. Geothermal Exploration Case Studies on OpenEI (Presentation)

    SciTech Connect (OSTI)

    Young, K.; Bennett, M.; Atkins, D.

    2014-03-01

    The U.S. Geological Survey (USGS) resource assessment (Williams et al., 2008) outlined a mean 30 GWe of undiscovered hydrothermal resource in the western United States. One goal of the U.S. Department of Energy's (DOE) Geothermal Technology Office (GTO) is to accelerate the development of this undiscovered resource. DOE has focused efforts on helping industry identify hidden geothermal resources to increase geothermal capacity in the near term. Increased exploration activity will produce more prospects, more discoveries, and more readily developable resources. Detailed exploration case studies akin to those found in oil and gas (e.g. Beaumont and Foster, 1990-1992) will give developers central location for information gives models for identifying new geothermal areas, and guide efficient exploration and development of these areas. To support this effort, the National Renewable Energy Laboratory (NREL) has been working with GTO to develop a template for geothermal case studies on the Geothermal Gateway on OpenEI. In 2012, the template was developed and tested with two case studies: Raft River Geothermal Area (http://en.openei.org/wiki/Raft_River_Geothermal_Area) and Coso Geothermal Area (http://en.openei.org/wiki/Coso_Geothermal_Area). In 2013, ten additional case studies were completed, and Semantic MediaWiki features were developed to allow for more data and the direct citations of these data. These case studies are now in the process of external peer review. In 2014, NREL is working with universities and industry partners to populate additional case studies on OpenEI. The goal is to provide a large enough data set to start conducting analyses of exploration programs to identify correlations between successful exploration plans for areas with similar geologic occurrence models.

  3. version 1 | OpenEI Community

    Open Energy Info (EERE)

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    E-Print Network [OSTI]

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    Webgrep: Web Webgrep: User Centered Web Personalization y Hironobu Aoki yy Jiro Tanaka y Master and Electronics,University of Tsukuba WWW Web Web Webgrep Webgrep 1 Web Web Web Web Web [1] My Yahoo! [2] MyNetscape [3] amazon.com [4] Web Web 2 Web Web |1| #12;1. Web 2. 3. 4. Web WWWC [5] Web Auto [6] Web 1 2 Web 3

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    E-Print Network [OSTI]

    Menascé, Daniel A.

    Scaling the Web Composing Web Services:A QoS View A n Internet application can invoke several ser- vices -- a stock-trading Web service, for example, could invoke a payment service, which could then invoke an authentication service. Such a scenario is called a composite Web service, and it can

  6. Hybrid Traffic Data Collection Roadmap: Objectives and Methods

    E-Print Network [OSTI]

    Bayen, Alexandre

    2013-01-01

    information environment. Hybrid Traffic Data CollectionBibliography Bibliography Hybrid Traffic Data Collection19, no. 1, p. 15–25, 2003. Hybrid Traffic Data Collection

  7. Hybrid Traffic Data Collection Roadmap: Objectives and Methods

    E-Print Network [OSTI]

    Bayen, Alexandre

    2013-01-01

    Traffic Data Collection Roadmap: Objectives and MethodsTraffic Data Collection Roadmap: Objectives and MethodsTraffic Data Collection Roadmap: Objectives and Methods

  8. , Web . Web Google[1] CLEVER[2] ,

    E-Print Network [OSTI]

    Shirai, Kiyoaki

    Web 1 , Web , Web , Web . Web , Web , Web . , , . , , , . , , 1 . , . , 1 , . , , Web . , , . Web . Google[1] CLEVER[2] , . , 1 , [3]. , . Amitay , HTML , . , , [4]. , Web . , [5]. , HTML Amitay . , , , 1: Web . 2 , · Web . , , 200 . , . , 10 . , . , 1 . , . , . 2.1 1: Web 14 7 386 296 27.6 42.3 #12

  9. lingyy@ruc.edu.cn Web Web Web

    E-Print Network [OSTI]

    DEEP WEB 100872 lingyy@ruc.edu.cn Web Web Web Deep Web Deep Web Deep Web; Web TP391 Entity Identification for Deep Web Data Integration Ling Yan-Yan, Liu Wei, Wang Zhong-Yuan, Ai Nowadays, growing number of Web Databases emerge from the web with their contents duplicated. Two or more

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    E-Print Network [OSTI]

    Boutaba, Raouf

    Division of IT Convergence Engineering Datacenter Traffic Monitoring Using Traffic Mirroring, Korea 3 School of Computer Science, University of Waterloo, Canada In these days, datacenter traffic has been increased rapidly. Monitoring datacenter traffic is more difficult than conventional Internet

  11. Seven Traffic Signals in Two Minutes

    Broader source: Energy.gov [DOE]

    Topeka, Kansas has activated the first of three key traffic corridors to receive a "green light tunnel," a real-time adaptive traffic signal system that synchronizes signals to create a series of...

  12. Temporary Pedestrian & Vehicular Traffic Flow Typical Conditions

    E-Print Network [OSTI]

    Kamat, Vineet R.

    Temporary Pedestrian & Vehicular Traffic Flow Typical Conditions Winter 2014 Ann Arbor - Medical://www.umaec.umich.edu/closures.html Roadway Closure Existing Traffic Pattern I0 400 800 1,200200 Feet Pedestrian Route Existing Building

  13. Evaluation of traffic signal controller transition methods 

    E-Print Network [OSTI]

    Hamilton, Curtis Lloyd

    2000-01-01

    A coordinated signal system achieves the best traffic progression when the signal plans are optimized at the correct offsets and intervals. When traffic conditions change and a transition to a new timing plan is warranted, it is important to reach...

  14. NATIONAL TRAFFIC SAFETY SUMMIT

    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 PAGEMissionStressMoveMuncrief Ames019NAPL10 1 NASEO 2010

  15. Traffic Safety Facts 2004

    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 GasAdministration Medal01 Sandia4)9 Federal RegisterStorm1 3 6 5

  16. HPSS Yearly Network Traffic

    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 HABFESOpportunitiesNERSCGrid-based29 1.921HEPCharging HPSSHPSSHPSSHPSS

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    DATALITE: a Distributed Architecture for Traffic Analysis via Light-weight Traffic Digest for Traffic Analysis via LIght- weight Traffic digEst, which introduces a set of new distributed algorithms digests (TD's) amongst the network nodes. A TD for N packets only requires O(loglog N) bits of memory

  18. The Traffic Circle of Life Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    gallons of wasted fuel ­ enough to fill 4 New Orleans Superdomes. Anna Nagurney The Traffic Circle of Life

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    E-Print Network [OSTI]

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  7. Increase Natural Gas Energy Efficiency | 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 APPENDIXsource History View NewGuam:on Openei |source History ViewInQbatorterm Content Group

  8. Increase Natural Gas Energy Efficiency | 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 APPENDIXsource History View NewGuam:on Openei |source History ViewInQbatorterm Content

  9. Increase Natural Gas Energy Efficiency | 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 APPENDIXsource History View NewGuam:on Openei |source History ViewInQbatorterm ContentGroups

  10. Initial Takeaways from the PM Workshop | 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 APPENDIXsource History View NewGuam:on Openei |sourceAnd CentralWorldInformaciónGeothermal

  11. Invisible Solar Energy Collection | 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 APPENDIXsource History View NewGuam:on OpeneiAlbanianStudy) (Webinar) |

  12. OpenEI Community - Sodium hypochlorite Market Research

    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 JumpQuarterly Smart Grid Data available for download on OpenEI

  13. OpenEI Community - Sodium hypochlorite Market Share

    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 JumpQuarterly Smart Grid Data available for download on OpenEI

  14. OpenEI Community - Sodium hypochlorite Market Size

    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 JumpQuarterly Smart Grid Data available for download on OpenEI

  15. OpenEI Community - Sodium hypochlorite Market Trends

    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 JumpQuarterly Smart Grid Data available for download on OpenEI

  16. Web Writing

    Office of Energy Efficiency and Renewable Energy (EERE)

    EERE has requirements and best practices to help you write Web content that's accessible, easier to find, and easier to read.

  17. OpenEI: Datasets in the OpenEnergyInfo Data Repository

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

    The Open Energy Information initiative (OpenEI) is a platform to connect the world's energy data. It is a linked open data platform bringing together energy information to provide improved analyses, unique visualizations, and real-time access to data. OpenEI follows guidelines set by the White House Open Government Initiative , which is focused on transparency, collaboration, and participation. OpenEI strives to provide open access to this energy information, with the ultimate goal of spurring creativity and driving innovation in the energy sector.[Copied from the OpenEI Wiki main page]. It features a wiki, a blog, a list of information gateways, and a browsing list of deposited data sets.

  18. How do I push or pull bulk wiki pages from OpenEI mediawiki instance...

    Open Energy Info (EERE)

    on this Please check out http:en.openei.orgcommunityblogopenei-downloadupload-automation-scripts Rmckeel on 10 October, 2012 - 11:00 Groups Menu You must login in order to...

  19. STIL2 Swedish Office Buildings Survey - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License License Not Specified Author Swedish Energy Agency Contact OpenEI User...

  20. Asynchronous SAN Switching under Multicast Traffic

    E-Print Network [OSTI]

    Asynchronous SAN Switching under Multicast Traffic Andrea Bianco *, Luca Giraudo *, Alessandra-Multicast traffic in Storage Area Networks (SANs) enables applications such as disaster recovery, remote data-less switching architecture devised for SANs is described, and its performance under multicast traffic is studied

  1. History-based Traffic Control Gabriel Balan

    E-Print Network [OSTI]

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    travel home, shouldn't traffic light controllers rec- ognize this fact and award you the green light@cs.gmu.edu Sean Luke George Mason University Fairfax, VA (USA) sean@cs.gmu.edu ABSTRACT What if traffic lights a vari- ety of multi-agent traffic light controllers which consider vehicles' past stopped

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    Minnesota, University of

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    air traffic flow problem (de- scribed in [4]). 2. SUGGESTION AGENTS Though the system performanceImproving Air Traffic Management through Agent Suggestions (Extended Abstract) Adrian Agogino USCS.tumer@oregonstate.edu ABSTRACT Providing intelligent automation to manage the continu- ously increasing flow of air traffic

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    E-Print Network [OSTI]

    van Dorp, Johan René

    ;11/21/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;11/21/2013 6 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;T ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;11/21/2013 10 GW-VCU VESSEL TRAFFIC RISK

  20. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    Draft #12;12/13/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;12/13/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL;12/13/2013 8 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12

  1. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr TRAFFIC RISK ASSESSMENT (VTRA) 2010 OIL TIME EXPOSURE- OTE #12;12/23/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 OIL TIME EXPOSURE- OTE #12;T: GW - KM - DP 3D Risk Profile What-If FV - Oil Time

  2. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    ;11/17/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;11/17/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;T-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;DEFINITION OF 15

  3. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    #12;12/23/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO #12;12/23/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO #12;12/23/2013 9 GW-VCU VESSEL

  4. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr TRAFFIC RISK ASSESSMENT (VTRA) 2010 OIL TIME EXPOSURE- OTE #12;11/20/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 OIL TIME EXPOSURE- OTE #12;T: GW - KM - DP 3D Risk Profile What-If FV - Oil Time

  5. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    ) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12;11/21/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT GROUNDING OIL LOSS - PGO Draft #12;11/21/2013 9 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIALVESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding

  6. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    -VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;11/17/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;R: KM 348 3D RiskVESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision

  7. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    ;12/12/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;12/12/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;P TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;DEFINITION OF 15 WATERWAY

  8. 2001 TRAFFIC ZONE BOUNDARIES Zone Numbers

    E-Print Network [OSTI]

    Toronto, University of

    2001 TRAFFIC ZONE BOUNDARIES Zone Numbers & Detailed Definitions #12;2001 TRAFFIC ZONE BOUNDARIES of Toronto Joint Program in Transportation January 2003 #12;PREFACE This report presents the 2001 traffic zone numbers by local municipalities in the 2001 TTS survey area. The second part presents detailed

  9. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision ASSESSMENT (VTRA) 2010 Draft #12;12/13/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;12/13/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL

  10. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision ­ KM ­ DP & 6 RMM's Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 RMM 1: Max;11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT

  11. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision;11/22/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;T: GW - KM - DP & ER 3D Risk Profile All

  12. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr & 6 RMM's Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 RMM 1: Max. Speed-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT VESSEL

  13. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;T : GW - KM - DP & +VAR FV 3D Risk RISK ASSESSMENT (VTRA) 2010 12/23/2013 3 GW-VCU Draft #12;12/23/2013 4 GW-VCU VESSEL TRAFFIC RISK

  14. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding ­ KM ­ DP & 6 RMM's Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 RMM 1: Max;11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT

  15. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;T : GW - KM - DP & +VAR FV 3D Risk ASSESSMENT (VTRA) 2010 12/23/2013 3 GW-VCU Draft #12;12/23/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA

  16. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision T ­ GW ­ KM ­ DP & 6 RMM's Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 RMM 1) Draft #12;11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS

  17. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision ASSESSMENT (VTRA) 2010 Draft #12;12/13/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION FREQUENCY - PCF Draft #12;12/13/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL

  18. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;T: GW - KM - DP & ER 3D Risk Profile All FV - Oil Time

  19. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding T ­ GW ­ KM ­ DP & 6 RMM's Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 RMM 1) Draft #12;11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS

  20. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;U : GW - KM - DP & VAR 3D Risk Profile ASSESSMENT (VTRA) 2010 11/21/2013 3 GW-VCU Draft #12;11/21/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA

  1. Marine Traffic Engineering through Relational Data Mining

    E-Print Network [OSTI]

    Ceci, Michelangelo

    Marine Traffic Engineering through Relational Data Mining Antonio Bruno1 and Annalisa Appice1,2 1-relational method of frequent pattern discovery into the marine traffic investigation. Multi-relational data mining collected in the gulf of Taranto. 1 Introduction Marine traffic engineering is a research field originally

  2. Semantic Web Enabled Composition of Web Services

    E-Print Network [OSTI]

    Medjahed, Brahim

    Semantic Web Enabled Composition of Web Services Brahim Medjahed Dissertation submitted Falls Church, Virginia, USA Keywords: Semantic Web - Web Service - Ontology - Service Composition. Copyright 2004, Brahim Medjahed #12;Semantic Web Enabled Composition of Web Services Brahim Medjahed

  3. EVOLUZIONE-WEB -1 -Evoluzione del Web

    E-Print Network [OSTI]

    De Antonellis, Valeria

    EVOLUZIONE-WEB - 1 - Evoluzione del Web (fonte prof. Polillo) #12;- 2 - L'evoluzione del web EVOLUZIONE-WEB · Dal primo sito Web (1991) il Web è in continua crescita, e in continua evoluzione tecnologia, il mercato, i comportamenti delle persone · Le fasi della storia del Web: Web 1.0, Web 2.0, il

  4. Crowding effects in vehicular traffic

    E-Print Network [OSTI]

    Combinido, Jay Samuel L

    2012-01-01

    While the impact of crowding on the diffusive transport of molecules within a cell is widely studied in biology, it has thus far been neglected in traffic systems where bulk behavior is the main concern. Here, we study the effects of crowding due to car density and driving fluctuations on the transport of vehicles. Using a microscopic model for traffic, we found that crowding can push car movement from a superballistic down to a subdiffusive state. The transition is also associated with a change in the shape of the probability distribution of positions from negatively-skewed normal to an exponential distribution. Moreover, crowding broadens the distribution of cars' trap times and cluster sizes. At steady state, the subdiffusive state persists only when there is a large variability in car speeds. We further relate our work to prior findings from random walk models of transport in cellular systems.

  5. OpenEI.org case study at Amazon Web Services | 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:QAsource History ViewMayo, Maryland:NPI VenturesNewSt.Information OlindaOnslowOpenEI-specific tutorial

  6. Web Support

    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 ofDidDevelopmentat LENA|UpcomingVisit12/10/15 WIPPPolicies Web

  7. Freeway Short-Term Traffic Flow Forecasting by Considering Traffic Volatility Dynamics and Missing Data Situations 

    E-Print Network [OSTI]

    Zhang, Yanru

    2012-10-19

    traffic managers in seeking solutions to congestion problems on urban freeways and surface streets. There is new research interest in short-term traffic flow forecasting due to recent developments in ITS technologies. Previous research involves...

  8. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    GROUNDING OIL LOSS - PGO Draft #12;11/22/2013 6 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12;11/22/2013 7 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 T: GW - KM;11/22/2013 9 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12

  9. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/12/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;12/12/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING FREQUENCY

  10. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/23/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 #12;12/23/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING FREQUENCY

  11. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-12 10-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;11/17/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Q: GW 487 & NB & OH

  12. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision: GW ­ KM ­ DP & +1 Escort Cape Size Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA-12 10-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT

  13. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12-2 0-1 VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 11/17/2013 3 GW-VCU Draft #12;11/17/2013 4 GW

  14. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;T : GW - KM - DP & +VAR FV 3D Risk Profile All FV - Oil Time-12 10-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/23/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT

  15. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT VESSEL FOR HARO-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA

  16. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 11/17/2013 2 GW-VCU Draft #12-2 0-1 11/17/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;11/17/2013 4 GW

  17. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;U : GW - KM - DP & VAR 3D Risk Profile All FV - Vessel Time-12 10-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT

  18. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT VESSEL FOR HARO-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  19. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-7 5-6 4-5 3-4 2-3 1-2 0-1 12/19/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;P-2 0-1 12/19/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;12/19/2013 4 GW

  20. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;U : GW - KM - DP & VAR 3D Risk Profile All FV - Oil Time-12 10-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT

  1. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision-2 0-1 12/23/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;T : GW - KM - DP & +VAR-2 0-1 12/23/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;12/23/2013 4 GW

  2. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-12 10-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/13/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;12/13/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING

  3. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr & +1 Escort Cape Size Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

  4. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding ­ KM ­ DP & +1 Escort Cape Size Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

  5. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12-2 0-1 VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 11/17/2013 3 GW-VCU Draft #12;11/17/2013 4 GW

  6. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-7 5-6 4-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;P-2 0-1 11/17/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;11/17/2013 4 GW

  7. Bicycle traffic planning and design criteria 

    E-Print Network [OSTI]

    Vathana, Jhirasak

    1975-01-01

    BICYCLE TRAFFIC PLANNING AND DESIGN CRITERIA A Thesis JHIRASAK VATHANA Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE May 1975 Major Subject...: Interdisciplinary Engineering BICYCLE TRAFFIC PLANNING AND DESIGN CRITER1A A Thesis DHIRASAK VATHANA Approved as to style and content by: Chairman of Committee (Head of epartment) j 'j (Memb ) (Member) (Member) May l975 ABSTRACT Bicycle Traffic Planning...

  8. Ohio Town Installing ‘Green’ Traffic Signals

    Broader source: Energy.gov [DOE]

    Elyria makes the move to efficient lighting. The town has decided to start replacing traffic lights with energy-efficient LEDs.

  9. Fashion Crimes: Trending-Term Exploitation on the Web Tyler Moore

    E-Print Network [OSTI]

    Thornton, Mitchell

    - creants who try to siphon a portion of legitimate traffic to make illicit profits. We study the abuse after a story breaks present a window of opportunity for attackers to infiltrate web and social network

  10. World Wide Web( WWW ) Greenberg Web

    E-Print Network [OSTI]

    Shirai, Kiyoaki

    WWW 1 World Wide Web( WWW ) WWW Web Web Greenberg Web 30% [1] Web WWW Web WWW [2] [3] WWW 2 2.1 WWW Web 1 1: · 1 · 1 #12;· Web Web 2: 2 2 Web 2.2 Web Web URL URL .html / Yahoo http://headlines.yahoo.co.jp/hl?a=2 0011205-00000101-yom-soci URL onmouseover on- mouseout JavaScript 2.1 2.3 URL URL 1. Web HTML 2. 1

  11. Taxiway Aircraft Traffic Scheduling: A Model and Solution Algorithms 

    E-Print Network [OSTI]

    Tian, Chunyu

    2012-10-19

    With the drastic increase in the demand for air travel, taxiway aircraft traffic scheduling is becoming increasingly important in managing air traffic. In order to reduce traffic congestion on taxiways, this thesis proposes ...

  12. Traffic condition tracking and visualization in virtual city testbed

    E-Print Network [OSTI]

    Zhu, Boyuan, M. Eng. Massachusetts Institute of Technology

    2011-01-01

    Computer traffic simulation is a tool widely used to understand how humans behave under varying traffic conditions. The Virtual City Testbed is a traffic simulation framework built to closely model human behavior by allowing ...

  13. Developpement WebIntroduction generale Developpement Web

    E-Print Network [OSTI]

    Richer, Jean-Michel

    D´eveloppement WebIntroduction g´en´erale D´eveloppement Web Introduction g´en´erale Jean #12;D´eveloppement WebIntroduction g´en´erale Plan Plan 1 Introduction 2 Historique et ´evolution du Web 3 Difficult´e du d´eveloppement Web 4 Le Web dans le monde actuel 2 / 58 #12;D´eveloppement Web

  14. Scaling Microblogging Services with Divergent Traffic Demands

    E-Print Network [OSTI]

    Almeroth, Kevin C.

    Scaling Microblogging Services with Divergent Traffic Demands Tianyin Xu1 , Yang Chen1 , Lei Jiao1 client-server architecture has not scaled with user demands, leading to server overload and significant #12;Scaling Microblogging Services with Divergent Traffic Demands 21 producing effective predictions

  15. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    ASSESSMENT (VTRA) 2010 11/18/2013 2 GW-VCU Draft #12;P: BC & DH100 3D Risk Profile All FV - Pot. Ground. Oil OIL LOSS - PGO Draft #12;11/18/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIALVESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding

  16. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    COLLISION OIL LOSS - PCO Draft #12;11/18/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIALVESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision Oil Loss Dr. J. Rene van Dorp and Dr. Jason R.W Merrick 11/18/2013 1 GW-VCU November 2013 CASE P: BASE

  17. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    ) 2010 Draft #12;11/18/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OILVESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding Oil Loss Dr. J. Rene van Dorp and Dr. Jason R.W Merrick 11/18/2013 1 GW-VCU November 2013 CASE P: BASE

  18. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr RISK ASSESSMENT (VTRA) 2010 Draft #12;P: BC & DH100 3D Risk Profile All FV - Oil Time Exposure: 100 Draft #12;11/18/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 OIL TIME EXPOSURE- OTE Draft

  19. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    COLLISION OIL LOSS - PCO Draft #12;11/19/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIALVESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision Oil Loss Dr. J. Rene van Dorp and Dr. Jason R.W Merrick 11/19/2013 1 GW-VCU November 2013 CASE P: BASE

  20. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    -VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12;11/17/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12;T: GW - KM - DP 3 RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12;DEFINITION OF 15 WATERWAY

  1. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    OIL LOSS - PGO Draft #12;11/19/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIALVESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding Oil Loss Dr. J. Rene van Dorp and Dr. Jason R.W Merrick 11/19/2013 1 GW-VCU November 2013 CASE P: BASE

  2. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr ASSESSMENT (VTRA) 2010 Draft #12;P: BC & OB HE100 3D Risk Profile All FV - Oil Time Exposure: 100% of Base;11/19/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 OIL TIME EXPOSURE- OTE Draft #12;11/19/2013 5 GW

  3. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure Escort for all Focus Vessels on Haro Routes Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT VESSEL FOR HARO-BOUNDARY ROUTES (GREEN

  4. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT VESSEL All FV - Vessel Time Exposure: 125% of Base Case VTE 23-24 22-23 21-22 20-21 19-20 18-19 17-18 16

  5. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure GW-VCU Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 RMM 1: Max. Speed of Container Vessels at 17 knots. RMM 2: Reduce Human Error incident on Oil Barges by 50% RMM 3: No Bunkering

  6. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure Escort Cape Size Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT VESSEL FOR HARO-BOUNDARY ROUTES (GREEN) AND FOR ROSARIO ROUTES (ORANGE

  7. INTEGRATION: An Overview of Traffic Simulation Features

    E-Print Network [OSTI]

    Hellinga, Bruce

    emissions, and more recently the combined modeling of traffic and communications subsystems. However, all, such as the addition of car-following logic, lane-changing logic, and more dynamic traffic assignment routines. However plazas, vehicle emissions, weaving sections, and HOVs. In addition, some features, such as the real

  8. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision;11/22/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT RISK ASSESSMENT (VTRA) 2010 11/22/2013 3 GW-VCU Draft #12;T: GW - KM - DP & ER 3D Risk Profile All FV

  9. Seven Traffic Signals in Two Minutes

    SciTech Connect (OSTI)

    None

    2011-01-01

    Topeka, KS has activated the first of three key traffic corridors to receive a "green light tunnel," a real-time adaptive traffic signal system that synchronizes signals to create a series of green lights for motorists. The result is fewer stops, less travel time and -- most importantly -- a lot of saved gasoline.

  10. Fact #580: July 20, 2009 Traffic Congestion Grows | Department...

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

    Texas Transportation Institute's latest study on traffic congestion, two of every three cars experienced congestion in their morning or evening trip in 2007. As expected, traffic...

  11. Impact of Traffic States on Freeway Collision Frequency

    E-Print Network [OSTI]

    Yeo, Hwasoo; Jang, Kitae; Skabardonis, Alexander

    2010-01-01

    a section using upstream and downstream traffic states: freeBQ). In FF, both upstream and downstream traffic phases arephase means that both upstream and downstream locations are

  12. Web Policies

    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 ofDidDevelopmentat LENA|UpcomingVisit12/10/15 WIPP Home|MonitoringPolicies

  13. Web Policies

    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 ofDidDevelopmentat LENA|UpcomingVisit12/10/15 WIPP

  14. Web of Science Web of ScienceWeb of Science

    E-Print Network [OSTI]

    Wang, Yayu

    Web of Science 2015-3-25 #12;Web of ScienceWeb of Science 93 2 22 7 Web of Science #12; 3.com/WOS_GeneralSearch_input.do?product=WOS&search_ mode=GeneralSearch&SID=4CLD1VklEapSgBPAiM8&preferencesSaved= Web of Science Web of Science core; #12; IDS IDS IDS #12; 50 "" #12; #12; 1. 2. 3. #12;4. 5. #12;6. Web of ScienceSCI 2

  15. Developpement WebPHP pour le Web Developpement Web

    E-Print Network [OSTI]

    Richer, Jean-Michel

    D´eveloppement WebPHP pour le Web D´eveloppement Web PHP pour le Web Jean-Michel Richer jean-michel.richer@univ-angers.fr http://www.info.univ-angers.fr/pub/richer 2008 1 / 130 #12;D´eveloppement WebPHP pour le Web Objectif´eveloppement Web fonctionnalit´es de base du langage acc`es aux bases de donn´ees (PDO) la couche objet (classe, h

  16. WEB HARVESTING Wolfgang Gatterbauer

    E-Print Network [OSTI]

    Gatterbauer, Wolfgang

    WEB HARVESTING Wolfgang Gatterbauer Computer Science and Engineering University of Washington, USA SYNONYMS web data extraction, web information extraction, web mining DEFINITION Web harvesting describes the process of gathering and integrating data from var- ious heterogeneous web sources. Necessary input

  17. WEB servicesWEB services Samuel Tardieu

    E-Print Network [OSTI]

    Tardieu, Samuel

    WEB servicesWEB services Samuel Tardieu École Nationale Supérieure des Télécommunications sam@enst.fr #12;ConceptsConcepts Web services are a new breed of Web application. They are self-contained, self-describing, modular applications that can be published, located, and invoked across the Web. Web services perform

  18. Semantic Web: From RDF to ontology web

    E-Print Network [OSTI]

    Grigoras, .Romulus

    30/09/2015 1 Semantic Web: From RDF to ontology web language N. Aussenac-Gilles IRIT- CNRS aussenac@irit.fr MELODI group http://www.irit.fr/-Equipe-MELODI- Oct. 2015 1Semantic web - 4 Ontologies and Semantic Web Plan Cours I ­ Semantic Web: introduction Cours II ­ first steps: a web of data RDF RDFs Cours III

  19. WEB DE ESQUEMAS WEB DE ESQUEMAS ALGORTMICOSALGORTMICOS

    E-Print Network [OSTI]

    Giménez, Domingo

    WEB DE ESQUEMAS WEB DE ESQUEMAS ALGORÍTMICOSALGORÍTMICOS PROYECTO FINAL DE CARRERA DE INGENIERÍA MOTIVACIÓNINTRODUCCION Y MOTIVACIÓN PROPUESTA DE SOLUCIÓNPROPUESTA DE SOLUCIÓN Aplicación web con C++Aplicación web con FUNCIONAMIENTO DE WEAFUNCIONAMIENTO DE WEA WEA: Web de Esquemas AlgorítmicosWEA: Web de Esquemas Algorítmicos

  20. Web Information Retrieval Author Preprint for Web

    E-Print Network [OSTI]

    Hawking, David

    indexes is often called `the hidden web', `the deep web', or `web dark matter' (Bailey et al., 2000). 2Web Information Retrieval Author Preprint for Web Nick Craswell and David Hawking 18 April 2009 1 Introduction This chapter outlines some distinctive characteristics of web information re- trieval, starting

  1. Web Clients and Crawlers 1 Web Clients

    E-Print Network [OSTI]

    Verschelde, Jan

    Web Clients and Crawlers 1 Web Clients alternatives to web browsers opening a web page and copying location 3 Web Crawlers making requests recursively incremental development, modular design of code 4, Statistical and Scientific Software Jan Verschelde, 14 October 2013 Scientific Software (MCS 507 L-21) web

  2. Web Applications and Security Web protocol overview

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Web Applications and Security Web protocol overview Web forms Cookies Attacks against Web>University of Massachusetts Amherst #12;Basic Web scripting There are two basic HTTP request methods, GET and POST descriptor. #12;Securing basic web apps is easy DON'T TRUST USER INPUT, EVER... Never execute code provide

  3. Developpement Web -Servlet Developpement Web -Servlet

    E-Print Network [OSTI]

    Richer, Jean-Michel

    D´eveloppement Web - Servlet D´eveloppement Web - Servlet Jean-Michel Richer jean-michel.richer@univ-angers.fr http://www.info.univ-angers.fr/pub/richer M1 Informatique - 2010-2011 1 / 33 #12;D´eveloppement Web´eveloppement Web - Servlet Introduction Programmation Web avec Java Objectifs · initiation `a la programmation Web

  4. A First Look at Modern Enterprise Traffic

    SciTech Connect (OSTI)

    Pang, Ruoming; Mark Allman, Mark; Bennett, Mike; Lee, Jason; Paxson, Vern; Tierney, Brian

    2005-06-01

    While wide-area Internet traffic has been heavily studied for many years, the characteristics of traffic inside Internet enterprises remain almost wholly unexplored. Nearly all of the studies of enterprise traffic available in the literature are well over a decade old and focus on individual LANs rather than whole sites. In this paper we present a broad overview of internal enterprise traffic recorded at a medium-sized site. The packet traces span more than 100 hours, over which activity from a total of several thousand internal hosts appears. This wealth of data--which we are publicly releasing in anonymized form--spans a wide range of dimensions. While we cannot form general conclusions using data from a single site, and clearly this sort of data merits additional in-depth study in a number of ways, in this work we endeavor to characterize a number of the most salient aspects of the traffic. Our goal is to provide a first sense of ways in which modern enterprise traffic is similar to wide-area Internet traffic, and ways in which it is quite different.

  5. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010-4 2-3 1-2 0-1 11/17/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;11/17/2013 4 GW

  6. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 12/12/2013 2 GW-VCU Draft #12-4 2-3 1-2 0-1 12/12/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;12/12/2013 4 GW

  7. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-12 10-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/13/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/13/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

  8. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/20/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA-7 5-6 4-5 3-4 2-3 1-2 0-1 VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 11/20/2013 3 GW-VCU #12

  9. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/13/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/13/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  10. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/12/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12-4 2-3 1-2 0-1 12/12/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;12/12/2013 4 GW

  11. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 11/17/2013 2 GW-5 3-4 2-3 1-2 0-1 11/17/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  12. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010-5 3-4 2-3 1-2 0-1 11/17/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  13. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/13/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/13/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  14. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/13/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12-5 3-4 2-3 1-2 0-1 12/13/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  15. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-12 10-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/20/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/20/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 #12

  16. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/19/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010-5 3-4 2-3 1-2 0-1 12/19/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  17. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/23/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010-7 5-6 4-5 3-4 2-3 1-2 0-1 12/23/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 #12

  18. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/12/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010-5 3-4 2-3 1-2 0-1 12/12/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  19. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/20/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA-7 5-6 4-5 3-4 2-3 1-2 0-1 VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 11/20/2013 3 GW-VCU #12

  20. Web Messaging for Open and Scalable Distributed Sensing Applications

    E-Print Network [OSTI]

    ://cityTransport.com/ Trains Buses Taxi Real-time traffic information Police Fire department Energy consumption Security system Fire alarm Energy consumption Security system Fire alarm CCTV City fire alerts Public Mashups the Web architecture offers a high degree of interoperability and a low en- try barrier, we propose

  1. Geothermal NEPA Database on OpenEI (Poster)

    SciTech Connect (OSTI)

    Young, K. R.; Levine, A.

    2014-09-01

    The National Renewable Energy Laboratory (NREL) developed the Geothermal National Environmental Policy Act (NEPA) Database as a platform for government agencies and industry to access and maintain information related to geothermal NEPA documents. The data were collected to inform analyses of NEPA timelines, and the collected data were made publically available via this tool in case others might find the data useful. NREL staff and contractors collected documents from agency websites, during visits to the two busiest Bureau of Land Management (BLM) field offices for geothermal development, and through email and phone call requests from other BLM field offices. They then entered the information into the database, hosted by Open Energy Information (http://en.openei.org/wiki/RAPID/NEPA). The long-term success of the project will depend on the willingness of federal agencies, industry, and others to populate the database with NEPA and related documents, and to use the data for their own analyses. As the information and capabilities of the database expand, developers and agencies can save time on new NEPA reports by accessing a single location to research related activities, their potential impacts, and previously proposed and imposed mitigation measures. NREL used a wiki platform to allow industry and agencies to maintain the content in the future so that it continues to provide relevant and accurate information to users.

  2. Fair Internet traffic integration: network flow models and analysis

    E-Print Network [OSTI]

    Kelly, Frank

    Fair Internet traffic integration: network flow models and analysis Peter Key, Laurent Massoulié the integration of two types of Internet traffic, elastic file transfers and streaming traffic. Previous studies have concentrated on just one type of traffic, such as the flow level models of Internet congestion

  3. Programmazione Web Introduzione

    E-Print Network [OSTI]

    De Antonellis, Valeria

    Programmazione Web Introduzione 12014/2015 #12;2014/2015 Programmazione Web - Introduzione 2 Un'applicazione Web (I) #12;2014/2015 Programmazione Web - Introduzione 3 Un'applicazione Web (II) #12;2014/2015 Programmazione Web - Introduzione 4 Un'applicazione Web (III) #12;2014/2015 Programmazione Web - Introduzione 5

  4. Managing Web Data Managing Web Data

    E-Print Network [OSTI]

    Davulcu, Hasan

    Managing Web Data Dan Suciu AT&T Labs Managing Web Data Sigmod, 1999 Dan Suciu AT&T Labs 1 #12;How the Web is Today HTML documents all intended for human consumption many are generated automatically by applications Managing Web Data Sigmod, 1999 Dan Suciu AT&T Labs 2 #12;Paradigm Shift on the Web applications

  5. Developpement Web -Servlet Developpement Web -Servlet

    E-Print Network [OSTI]

    Richer, Jean-Michel

    D´eveloppement Web - Servlet D´eveloppement Web - Servlet Jean-Michel Richer jean-michel.richer@univ-angers.fr http://www.info.univ-angers.fr/pub/richer L3 Pro Informatique - 2010-2011 1 / 34 #12;D´eveloppement Web / 34 #12;D´eveloppement Web - Servlet Introduction Programmation Web avec Java Objectifs · initiation

  6. Developpement Web -Servlet Developpement Web -Servlet

    E-Print Network [OSTI]

    Hao, Jin-Kao

    D´eveloppement Web - Servlet D´eveloppement Web - Servlet Jean-Michel Richer jean-michel.richer@univ-angers.fr http://www.info.univ-angers.fr/pub/richer M1/M2 Informatique - 2010-2011 1 / 34 #12;D´eveloppement Web / 34 #12;D´eveloppement Web - Servlet Introduction Programmation Web avec Java Objectifs · initiation

  7. Developpement Web -Servlet Developpement Web -Servlet

    E-Print Network [OSTI]

    Richer, Jean-Michel

    D´eveloppement Web - Servlet D´eveloppement Web - Servlet Jean-Michel Richer jean-michel.richer@univ-angers.fr http://www.info.univ-angers.fr/pub/richer M1 Informatique - 2010-2011 1 / 29 #12;D´eveloppement Web´eveloppement Web - Servlet Introduction Introduction Introduction 3 / 29 #12;D´eveloppement Web - Servlet

  8. Siena College Web Governance

    E-Print Network [OSTI]

    Siena College Web Governance Web Governance: Roles & Responsibilities. WEB ADVISORY COMMITTEE (WAC) The Web Advisory Committee is the Owner of the Siena homepage. The Web Advisory Committee is responsible for: Providing the process that will move Siena College

  9. Scaling Microblogging Services with Divergent Traffic Demands

    E-Print Network [OSTI]

    Fu, Xiaoming

    Scaling Microblogging Services with Divergent Traffic Demands Tianyin Xu, Yang Chen, Lei Jiao, Ben-server architecture has not scaled with user demands, lead- ing to server overload and significant impairment

  10. Smart-card traffic system keeps Singapore

    E-Print Network [OSTI]

    Hunt, Julian

    Smart-card traffic system keeps Singapore in the fast lane Sir -- Recognizing the high economic tariffs from a smart card installed in a slot near the vehicle's windscreen. Infringement is registered

  11. Partitioning Complexity in Air Traffic Management Task

    E-Print Network [OSTI]

    Cummings, M. L.

    2006-01-01

    Cognitive complexity is a term that appears frequently in air traffic control (ATC) research literature, yet there is little principled investigation of the potential sources of cognitive complexity. Three distinctly ...

  12. Built Environmental Correlates of Traffic Collisions 

    E-Print Network [OSTI]

    Yu, Chia-Yuan

    2014-07-01

    relationships between built environmental attributes and crashes with different levels of injury severity in census block groups in Austin, TX. The results showed that traffic volume, highways/freeways, arterial roads, and commercial uses had consistently...

  13. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure & No Bunkering Draft #12;Q: GW 487 3D Risk Profile All FV - Vessel Time Exposure: 113% of Base Case VTE 23-24 22-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;Q: GW 487 & NB

  14. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure + Bunkering Draft #12;P: Base Case 3D Risk Profile All FV - Vessel Time Exposure: 100% of Base Case VTE 23-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;S: DP 415 3

  15. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure & No Bunkering & Only Haro Draft #12;Q: GW 487 & NB 3D Risk Profile All FV - Vessel Time Exposure: 108% of Base-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  16. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure + Cargo FV set at High December 2013 Draft #12;T: GW - KM - DP 3D Risk Profile All FV - Vessel Time-12 10-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/13/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT

  17. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure + Bunkering Draft #12;P: Base Case 3D Risk Profile All FV - Vessel Time Exposure: 100% of Base Case VTE 23-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;R: KM 348 3

  18. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure ­ DP & Tankers set Low #12;T: GW - KM - DP 3D Risk Profile All FV - Vessel Time Exposure: 125% of Base-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/23/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 #12;T

  19. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure GW-VCU Draft #12;P: Base Case 3D Risk Profile All FV - Vessel Time Exposure: 100% of Base Case VTE 23-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;T: GW - KM

  20. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure + Bunkering Draft #12;P: Base Case 3D Risk Profile All FV - Vessel Time Exposure: 100% of Base Case VTE 23-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;Q: GW 487 3

  1. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure + Cargo FV set Low December 2013 Draft #12;T: GW - KM - DP 3D Risk Profile All FV - Vessel Time Exposure-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/23/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA

  2. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure set at High December 2013 Draft #12;T: GW - KM - DP 3D Risk Profile All FV - Vessel Time Exposure: 125-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/13/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

  3. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure and Cargo FV set at High Draft #12;P: Base Case 3D Risk Profile All FV - Vessel Time Exposure: 100% of Base-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/12/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  4. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure Way ATB's Rosario #12;T: GW - KM - DP 3D Risk Profile All FV - Vessel Time Exposure: 125% of Base Case-7 5-6 4-5 3-4 2-3 1-2 0-1 11/20/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 #12;T: GW

  5. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT VESSEL FOR HARO-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  6. TrafficView: Traffic Data Dissemination using Car-to-Car Communication

    E-Print Network [OSTI]

    Iftode, Liviu

    TrafficView: Traffic Data Dissemination using Car-to-Car Communication Tamer Nadeema, Sasan high- tech devices are integrated, and a common platform for inter-vehicle communication is necessary platform for inter-vehicle communication is necessary to realize an intelligent transportation system

  7. Developpement Web -Servlet Developpement Web -Servlet

    E-Print Network [OSTI]

    Richer, Jean-Michel

    D´eveloppement Web - Servlet D´eveloppement Web - Servlet Jean-Michel Richer jean-michel.richer@univ-angers.fr http://www.info.univ-angers.fr/pub/richer L3 Pro Informatique - 2010-2011 1 / 31 #12;D´eveloppement Web Bibliographie 2 / 31 #12;D´eveloppement Web - Servlet Introduction Introduction Introduction 3 / 31 #12;D

  8. Web Information Retrieval Web Science Course

    E-Print Network [OSTI]

    Nejdl, Wolfgang

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

  9. Agents on the Web The Sentient Web

    E-Print Network [OSTI]

    Huhns, Michael N.

    Agents on the Web The Sentient Web "I n a startling revelation, a team of uni- versity scientists. In spite of the ominous tone typically cho- sen for dramatic effect, a sentient Web would be more helpful and much easier for people to use. When people find the Web frustrating, it is usual- ly not because

  10. Developpement Web -JSTL Developpement Web -JSTL

    E-Print Network [OSTI]

    Hao, Jin-Kao

    D´eveloppement Web - JSTL D´eveloppement Web - JSTL Jean-Michel Richer jean-michel.richer@univ-angers.fr http://www.info.univ-angers.fr/pub/richer M2 Informatique 2010-2011 1 / 44 #12;D´eveloppement Web - JSTL Plan Plan 1 Introduction 2 Utilisation de la JSTL 3 Bibliographie 2 / 44 #12;D´eveloppement Web

  11. Semantic Web Technologies for the Adaptive Web

    E-Print Network [OSTI]

    Nejdl, Wolfgang

    23 Semantic Web Technologies for the Adaptive Web Peter Dolog1 and Wolfgang Nejdl2 1 Department.de Abstract. Ontologies and reasoning are the key terms brought into focus by the semantic web community. Formal representation of ontologies in a common data model on the web can be taken as a foundation

  12. WEB Maintainers Meetup Web Branding Committee

    E-Print Network [OSTI]

    Florida, University of

    WEB Maintainers Meetup UF/IFAS DEPARTMENT #12; Web Branding Committee Introduction and TERMINALFOUR (T4) recap Preparation Page layouts Questions #12;WEB BRANDING COMMITTEE what we heard #12;Some) is the new UF Web Content Management System (WCMS) chosen for the next five years. T4 allows non

  13. Einsatz von Web Services im Semantic Web

    E-Print Network [OSTI]

    Moeller, Ralf

    Einsatz von Web Services im Semantic Web am Beispiel der RACER Engine und OWL-QL Jan Galinski Aufbau der Arbeit . . . . . . . . . . . . . . . . . . . . . 2 2 Grundlagen 5 2.1 Semantic Web . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.1.1 Komponenten des Semantic Web . . . . . . . . . . . . . . . . . . . . 6 2.1.2 Repräsentation

  14. Adaptive Web Sites: Automatically Synthesizing Web Pages

    E-Print Network [OSTI]

    Etzioni, Oren

    Adaptive Web Sites: Automatically Synthesizing Web Pages Mike Perkowitz Oren Etzioni Department interfaces Abstract The creation of a complex web site is a thorny problem in user interface design. In IJCAI '97, we challenged the AI community to address this problem by creating adaptive web sites: sites

  15. Developpement Web -Servlet Developpement Web -Servlet

    E-Print Network [OSTI]

    Hao, Jin-Kao

    D´eveloppement Web - Servlet D´eveloppement Web - Servlet Jean-Michel Richer jean-michel.richer@univ-angers.fr http://www.info.univ-angers.fr/pub/richer M1/M2 Informatique - 2010-2011 1 / 30 #12;D´eveloppement Web Bibliographie 2 / 30 #12;D´eveloppement Web - Servlet Introduction Introduction Introduction 3 / 30 #12;D

  16. Developpement WebFrameworks AJAX Developpement Web

    E-Print Network [OSTI]

    Richer, Jean-Michel

    D´eveloppement WebFrameworks AJAX D´eveloppement Web Frameworks AJAX Jean-Michel Richer jean-michel.richer@univ-angers.fr http://www.info.univ-angers.fr/pub/richer 2009 1 / 27 #12;D´eveloppement WebFrameworks AJAX Objectif d´eveloppement Web et augmenter l'interactivit´e avec l'utilisateur 2 / 27 #12;D´eveloppement Web

  17. Semantic Web 30Artificial

    E-Print Network [OSTI]

    van Harmelen, Frank

    312007.11 "" Semantic Web 30Artificial IntelligenceKnowledge Representation Inductive Web datasets ---- Tim Berners-Lee Tim Berners-Lee " "" " Web 2.0---- Web Web 2.0 Frank van Harmelen W3C OWL Web Sesame RDF Aduna 100 Hirsch 35 5 15 ECAI2002 3 ISWC

  18. SmartGrid: Quarterly Data Summaries from the Data Hub and SmartGrid Project Information (from OpenEI and SmartGrid.gov)

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

    Both OpenEI and SmartGrid.gov are DOE portals to a wealth of information about the federal initiatives that support the development of the technologies, policies and projects transforming the electric power industry. Projects funded through the U.S. Recovery Act are organized by type and pinned to an interactive map at http://en.openei.org/wiki/Gateway:Smart_Grid. Each project title links to more detailed information. The Quarterly Data Summaries from the Data Hub at SmartGrid.gov are also available on OpenEI at http://en.openei.org/datasets/node/928. In addition, the SmartGrid Information Center contains documents and reports that can be searched or browsed. Smart Grid Resources introduces international SmartGrid programs and sites, while OpenEI encourages users to add SmartGrid information to the repository.

  19. Web of Science Welcome to the Web of Science................................................................................................ 2

    E-Print Network [OSTI]

    Huang, Su-Yun

    Web of Science #12; Welcome to the Web of Science................................................................................................ 2 Web of Science.................................................................................................................. 4 ISI Web of Knowledge

  20. Automated identification of terminal area air traffic flows and weather related deviations

    E-Print Network [OSTI]

    Ng, Tony M. Eng. Massachusetts Institute of Technology

    2008-01-01

    Air traffic in terminal air space is very complex, making it very difficult to identify air traffic flows. Finding air traffic flows and flow boundaries are very helpful in analyzing how air traffic would react to weather. ...

  1. Development and implementation of algorithms used in ground and internet traffic monitoring 

    E-Print Network [OSTI]

    Ametha, Jayesh

    2001-01-01

    Two different problems have been analyzed, one involving Traffic Management Centers (TMCs), while the other involves Internet traffic monitoring at a network router. TMCs detect traffic incidents and manage traffic using Automatic Incident Detection...

  2. Fact #581: July 27, 2009 Fuel Wasted in Traffic Congestion

    Broader source: Energy.gov [DOE]

    The researchers at the Texas Transportation Institute have recently published new estimates of the effects of traffic congestion. Nearly 3 billion gallons of fuel is wasted each year due to traffic...

  3. A mathematical model and descent algorithm for bilevel traffic management

    E-Print Network [OSTI]

    Patriksson, Michael

    demands, the possible presence of side constraints in the traff* *ic equilibrium system in cities with the immediate side effect of an incr* *ease in traffic demand. A functioning society depends traffic management Michael Patriksson* and R. Tyrrell Rockafellary

  4. Traffic prediction and navigation using historical and current information

    E-Print Network [OSTI]

    Lim, Sejoon

    2008-01-01

    We developed a traffic prediction and navigation system that deals with uncertainty of road traffic conditions by stochastic modeling of road networks. Our system consists of a data collecting system, a data management ...

  5. http://tti.tamu.edu > Variable message signs > Traffic actuated controllers > Traffic signals > Flashing traffic signals > Lane use control signals > Road markings > Rumble strips > Warrants (Traffic control devices) > Gro

    E-Print Network [OSTI]

    and development > Airport maintenance > Bicycle and pedestrian > Ports and waterways >>> Transportation operations pipeline transportation > Airport planning and development > Airport maintenance > Bicycle and pedestrian > Measures of effectiveness > Traffic models > Traffic simula Saving Lives, Time and Resources AviAtion Rese

  6. Off-line calibration of Dynamic Traffic Assignment models

    E-Print Network [OSTI]

    Balakrishna, Ramachandran, 1978-

    2006-01-01

    Advances in Intelligent Transportation Systems (ITS) have resulted in the deployment of surveillance systems that automatically collect and store extensive network-wide traffic data. Dynamic Traffic Assignment (DTA) models ...

  7. Laboratory to change vehicle traffic-screening regimen at vehicle...

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

    Changes to vehicle traffic-screening Laboratory to change vehicle traffic-screening regimen at vehicle inspection station Lanes two through five will be open 24 hours a day and...

  8. Traffic Safety | 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 WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S.Week DayDr.Theories81TowardsTracking Living CellsTracking

  9. Developpement Web -JDBC Developpement Web -JDBC

    E-Print Network [OSTI]

    Richer, Jean-Michel

    D´eveloppement Web - JDBC D´eveloppement Web - JDBC Jean-Michel Richer jean-michel.richer@univ-angers.fr http://www.info.univ-angers.fr/pub/richer L3 Pro Informatique 2010-2011 1 / 32 #12;D´eveloppement Web - JDBC Plan Plan 1 Pr´eambule 2 Utilisation de JDBC 3 Outils 2 / 32 #12;D´eveloppement Web - JDBC Pr

  10. WORLD WIDE WEB 2.3 Web

    E-Print Network [OSTI]

    Zabulis, Xenophon

    H I2 C WORLD WIDE WEB 1996 #12; 1. 1.1 I2 Cnet 1.2 1.3 WWW 2 2.1 2.2 2.3 Web 2.4 3 O 3.1 3.2 3.3 3.4 O Web browsers. 4. 4.1 4.2 4 File System 9.6 10 A. Web browser HTT . B A #12

  11. Developpement Web -JDBC Developpement Web -JDBC

    E-Print Network [OSTI]

    Hao, Jin-Kao

    D´eveloppement Web - JDBC D´eveloppement Web - JDBC Jean-Michel Richer jean-michel.richer@univ-angers.fr http://www.info.univ-angers.fr/pub/richer M1/M2 Informatique 2010-2011 1 / 32 #12;D´eveloppement Web - JDBC Plan Plan 1 Pr´eambule 2 Utilisation de JDBC 3 Outils 2 / 32 #12;D´eveloppement Web - JDBC Pr

  12. Developpement WebPHP Avance Developpement Web

    E-Print Network [OSTI]

    Richer, Jean-Michel

    D´eveloppement WebPHP Avanc´e D´eveloppement Web PHP Avanc´e Jean-Michel Richer jean-michel.richer@univ-angers.fr http://www.info.univ-angers.fr/pub/richer 2008 1 / 73 #12;D´eveloppement WebPHP Avanc´e Objectif codage documentation SPL gestion des fichiers 2 / 73 #12;D´eveloppement WebPHP Avanc´e Plan Plan 1

  13. Developpement Web -JDBC Developpement Web -JDBC

    E-Print Network [OSTI]

    Richer, Jean-Michel

    D´eveloppement Web - JDBC D´eveloppement Web - JDBC Jean-Michel Richer jean-michel.richer@univ-angers.fr http://www.info.univ-angers.fr/pub/richer 28 septembre 2010 1 / 30 #12;D´eveloppement Web - JDBC Plan Plan 1 Pr´eambule 2 Utilisation de JDBC 3 Outils 2 / 30 #12;D´eveloppement Web - JDBC Pr´eambule Pr

  14. Traffic Characterisation for Telecommunication Networks Attila Vidcs, Zsolt Kenesi, kos Rtfalvi, Pter Pozsgai, Sndor Molnr

    E-Print Network [OSTI]

    Molnár, Sándor

    the whole set of renewal processes for traffic characterisation. In data traffic modelling the so called ON depends on the nature of the traffic thereby there is an urgent need to find appropriate traffic models the nature of the traffic in future services. In spite of these difficulties of traffic modelling numerous

  15. Air Traffic Control Using Virtual Stationary Automata Matthew D. Brown

    E-Print Network [OSTI]

    Lynch, Nancy

    Air Traffic Control Using Virtual Stationary Automata by Matthew D. Brown B.S., Massachusetts by . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Arthur C. Smith Chairman, Department Committee on Graduate Students #12;Air Traffic Control Using Virtual of Engineering Abstract As air travel has become an essential part of modern life, the air traffic control system

  16. Internet Traffic Modeling Using the Index of Variability

    E-Print Network [OSTI]

    Kansas, University of

    traffic models: the Two-State Markov Modulated Poisson Process (MMPP) and the renewal process1 Internet Traffic Modeling Using the Index of Variability Georgios Y. Lazarou, Xiangdong Xia and is analytically tractable for many popular traffic models. Using this proposed measure, we then analyzed two

  17. A Twostep Statistical Approach for Inferring Network Traffic Demands #

    E-Print Network [OSTI]

    A Two­step Statistical Approach for Inferring Network Traffic Demands # A. Medina 1 , K. Salamatian knowledge of traffic demands in a communication net­ work enables or enhances a variety of traffic measuring a complete set of these demands is prohibitively expensive because of the huge amounts of data

  18. Adaptive Traffic Lights Using Car-to-Car Communication

    E-Print Network [OSTI]

    Iftode, Liviu

    Adaptive Traffic Lights Using Car-to-Car Communication Victor Gradinescu, Cristian Gorgorin, Raluca presents an adaptive traffic light system based on wireless communication between vehicles and fixed adaptive traffic light system. In section 4, we present the simulation framework we have developed

  19. Internet traffic growth: Sources and implications Andrew M. Odlyzko

    E-Print Network [OSTI]

    Odlyzko, Andrew M.

    Internet traffic growth: Sources and implications Andrew M. Odlyzko University of Minnesota, Minneapolis, MN, USA ABSTRACT The high tech bubble was inflated by myths of astronomical Internet traffic growth rates. Yet although these myths were false, Internet traffic was increasing very rapidly, close

  20. Internet Traffic Matrices: A Primer Paul Tune and Matthew Roughan

    E-Print Network [OSTI]

    Roughan, Matthew

    Internet Traffic Matrices: A Primer Paul Tune and Matthew Roughan School of Mathematical Sciences of various services from the Internet has led to an exponential growth of Internet traffic in the last decade for testing routing protocols. We conclude the chapter by summarising open questions in Internet traffic

  1. Stability for scalar balance laws; Application to pedestrian traffic.

    E-Print Network [OSTI]

    Mercier, Magali

    1 L1 Stability for scalar balance laws; Application to pedestrian traffic. Magali Mercier Universit-local flow, which appears for example in a new model of pedestrian traffic. 1 Introduction We consider condition. This is of interest in pedestrian traffic if for example we want to minimize the time of exit out

  2. VEHICLE EMISSIONS AND TRAFFIC MEASURES: EXPLORATORY ANALYSIS OF FIELD

    E-Print Network [OSTI]

    Frey, H. Christopher

    VEHICLE EMISSIONS AND TRAFFIC MEASURES: EXPLORATORY ANALYSIS OF FIELD OBSERVATIONS AT SIGNALIZED between vehicle emissions and traffic control measures is an important step toward reducing the potential roadway design and traffic control, have the ability to reduce vehicle emissions. However, current vehicle

  3. Logical Foundations Semantic Web

    E-Print Network [OSTI]

    Murawski, Andrzej

    Logical Foundations for the Semantic Web Ian Horrocks and Ulrike Sattler University of Manchester Manchester, UK {horrocks|sattler}@cs.man.ac.uk #12;Introduction #12;History of the Semantic Web · Web of the Web was much more ambitious than the reality of the existing (syntactic) Web: · TBL (and others) have

  4. Web Personalization Magdalini Eirinaki

    E-Print Network [OSTI]

    Eirinaki, Magdalini

    Web Mining for Web Personalization Magdalini Eirinaki Michalis Vazirgiannis Athens University of Economics and Business Department of Informatics #12;M.Eirinaki, M. Vazirgiannis Web Mining for Web Personalization 2PKDD 2005 Introduction Continuous growth in the size and the use of WWW Large and complicated web

  5. Deep Web video

    ScienceCinema (OSTI)

    None Available

    2012-03-28

    To make the web work better for science, OSTI has developed state-of-the-art technologies and services including a deep web search capability. The deep web includes content in searchable databases available to web users but not accessible by popular search engines, such as Google. This video provides an introduction to the deep web search engine.

  6. Deep Web video

    SciTech Connect (OSTI)

    None Available

    2009-06-01

    To make the web work better for science, OSTI has developed state-of-the-art technologies and services including a deep web search capability. The deep web includes content in searchable databases available to web users but not accessible by popular search engines, such as Google. This video provides an introduction to the deep web search engine.

  7. Asymmetric Multiclass Traffic Assignment: a coherent formulation

    E-Print Network [OSTI]

    Toint, Philippe

    of the asymmetric multiclass traffic assignment model are brought to light. A new formulation is presented, multiclass cost functions. A numerical calibration exercise for a car and truck class model concludes in the definition of coherent multiple value­of­time class and car­and­truck class models, and in the calibration

  8. Does Daylight Savings Time Affect Traffic Accidents? 

    E-Print Network [OSTI]

    Deen, Sophia 1988-

    2012-04-20

    This paper studies the effect of changes in accident pattern due to Daylight Savings Time (DST). The extension of the DST in 2007 provides a natural experiment to determine whether the number of traffic accidents is affected by shifts in hours...

  9. Understanding Data Center Traffic Characteristics Theophilus Benson

    E-Print Network [OSTI]

    Badrinath, B. R.

    Understanding Data Center Traffic Characteristics Theophilus Benson , Ashok Anand , Aditya Akella and Ming Zhang UW-Madison, Microsoft Research ABSTRACT As data centers become more and more central patterns in data center networks that can inform and help evaluate research and operational approaches. We

  10. Performance Analysis of Isolated Intersection Traffic Signals 

    E-Print Network [OSTI]

    Yin, Kai

    2013-08-01

    This dissertation analyzes two unsolved problems to fulfill the gap in the literature: (1). What is the vehicle delay and intersection capacity considering left-turn traffic at a pre-timed signal? (2). What are the mean and variance of delay...

  11. TrafficView: A Driver Assistant Device for Traffic Monitoring based on Car-to-Car Communication

    E-Print Network [OSTI]

    Iftode, Liviu

    TrafficView: A Driver Assistant Device for Traffic Monitoring based on Car-to-Car Communication an intelligent transportation system, a common platform for inter-vehicle communication is needed. This platform, Directions, etc. Slide bar for areas infront or behind you Your car Other cars Fig. 1. Example of Traffic

  12. Variability in continuous traffic monitoring data

    SciTech Connect (OSTI)

    Wright, T.; Hu, P.S.; Young, J.

    1996-07-01

    Each state in the United States can be viewed as a universe of road segments. For each road segment in each state, it is desired to know various traffic characteristics based on count data, classification count data, and weigh-in-motion data. These data are absolutely essential for highway design, maintenance, safety, and planning. Given no cost constraints, each road segment would be continuously monitored every day of the year. However, in practice, a few road segments are monitored continuously every day of the year to produce annual characteristics of traffic flow. The remaining road segments are monitored for one or two days each year, and this resulting data are `adjusted` (using factors based on data collected from the continuously monitored road segments) to produce estimates of annual characteristics. With this general approach, each state strives to provide estimates of annual characteristics for each road segment within its jurisdiction. In 1985, the Federal Highway Administration (FHWA) published the Traffic Monitoring Guide to assist states in achieving this end. As with almost any data collection effort, the monitoring data suffers from errors from many sources. In this paper, we report some empirical findings in a research project sponsored by the FHWA. This research project studied the variability in the traffic data from the continuously monitored road segments from state(s) and, the extent to which this variability is transferred to and affects the precision of the data produced from the road segments which are monitored only one or two days each year. The ultimate hope is that states will eventually be able to not only publish an estimate of a characteristic such as Average Annual Daily Traffic (AADT) for each road segment, but also that each estimate will be accompanied by a statement expressing how good the estimate is in terms of its estimated variability or precision, which will likely be expressed as a coefficient of variation.

  13. Web Site Metadata

    E-Print Network [OSTI]

    Wilde, Erik; Roy, Anuradha

    2009-01-01

    Chuan Chang. Accessing the Deep Web. Communications of theand Alon Halevy. Google’s Deep Web Crawl. In Proceedings ofuseful for exposing the Deep Web [6, 8], for example, those

  14. Introduction Semantic Web

    E-Print Network [OSTI]

    Nejdl, Wolfgang

    Introduction Semantic Web Ontologies Linked Data Information Sources Information Extraction Web Application Use Cases Knowledge Bases Entity Linking Entity Retrieval Linked Data Quality Conclusions Papers for Presentations Resources Semantic Web: Extracting and Mining Structured Data from

  15. Web Site Metadata

    E-Print Network [OSTI]

    Wilde, Erik; Roy, Anuradha

    2009-01-01

    International World Wide Web Conference, pages 1123–1124,de?ned as a set of Web pages made available by someis often associated with all Web pages available under one

  16. Web Accessibility Accessibility

    E-Print Network [OSTI]

    Oklahoma, University of

    Web Accessibility #12;Accessibility Webaim This is a pre-y prolific site that vary based on the type of web content. StaFc, content managed and dynamic web sites can benefit from our accessibility review service. Rich media

  17. web identity application sectioneleven

    E-Print Network [OSTI]

    Derisi, Joseph

    web identity application sectioneleven 99 contents elements of webpage design......................................................................... 100-101 web development and design considerations web banners is required for all official UCSF webpages. This banner includes a required link

  18. Web Browser Interface (WBUI)

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

    OSCARS and Future Tech OSCARS Standard and Open Grid Forum OSCARS Developers Community Web Browser Interface (WBUI) Web Service Interface (API) Read More... Fasterdata IPv6...

  19. Web Service Interface (API)

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

    OSCARS and Future Tech OSCARS Standard and Open Grid Forum OSCARS Developers Community Web Browser Interface (WBUI) Web Service Interface (API) Read More... Fasterdata IPv6...

  20. ORISE: Web Development

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

    Web Development As computer-based applications become increasingly popular for the delivery of health care training and information, the need for Web development in support of...

  1. Web points of interest

    E-Print Network [OSTI]

    Web points of interest ... JUGGLING CLUB; The Lafayette Citizens Band Home Page; Harold Boas' incredible list of math and life resources on the WEB.

  2. Introducing Web Application Development

    E-Print Network [OSTI]

    Ding, Wei

    Introducing Web Application Development Instructor: Dr Wei Ding Development Instructor: Dr.Wei Ding Fall 2009 1CS 437/637 Database-BackedWeb Sites andWeb Services Introduction: Internet vs. World Wide Web Internet is an interconnected network of thousands ofInternet is an interconnected network

  3. Web Auctions, Virtual Communities,

    E-Print Network [OSTI]

    Magoulas, George D.

    Chapter 6 Web Auctions, Virtual Communities, and Web Portals #12;Contents In this lecture, we will look at: · Origins and key characteristics of the six major auction types · Strategies for Web auction opportunity that is perfect for the Web. · An auction site can charge both buyers and sellers to participate

  4. Name:_____________________________ (Web Exercise)

    E-Print Network [OSTI]

    Richardson, David

    Name:_____________________________ (Web Exercise) Model quality, validation exercise. You will need a web link to MolProbity (with Java), and the file 1JIRon1S83_Arg66_supr.kin download- ed from the kinemage.biochem.duke.edu BCH681 web site, or from Sakai. Part 1: MolProbity Go to the MolProbity web

  5. Scaling the Web Architectures

    E-Print Network [OSTI]

    Menascé, Daniel A.

    Scaling the Web Web Server Software Architectures W eb site scalability depends on several things -- workload characteristics,1 security mechanisms,2 Web cluster architectures3 -- as I've discussed in previous issues. Another important item that can affect a site's performance and scalability is the Web

  6. Web Technology (elective package)

    E-Print Network [OSTI]

    Franssen, Michael

    Web Technology (elective package) Offered by: Department of Mathematics and Computer Science? Computer Science-based approaches and enabling technologies for the web. Course descriptions Human and efficient. Web Technology The web has become the major source of information retrieval and is playing

  7. The Physics of Traffic and Regional Development

    E-Print Network [OSTI]

    Helbing, Dirk

    2013-01-01

    This contribution summarizes and explains various principles from physics which are used for the simulation of traffic flows in large street networks, the modeling of destination, transport mode, and route choice, or the simulation of urban growth and regional development. The methods stem from many-particle physics, from kinetic gas theory, or fluiddynamics. They involve energy and entropy considerations, transfer the law of gravity, apply cellular automata and require methods from evolutionary game theory. In this way, one can determine interaction forces among driver-vehicle units, reproduce breakdowns of traffic including features of synchronized congested flow, or understand changing usage patterns of alternative roads. One can also describe daily activity patterns based on decision models, simulate migration streams, and model urban growth as a particular kind of aggregation process.

  8. Metropolitan Road Traffic Simulation on FPGAs.

    SciTech Connect (OSTI)

    Tripp J. L. (Justin L.); Mortveit, H. S. (Henning S.); Hansson, A. A. (Anders A.); Gokhale, M. (Maya)

    2005-01-01

    This work demonstrates that road traffic simulation of entire metropolitan areas is possible with reconfigurable supercomputing that combines 64-bit microprocessors and FPGAs in a high bandwidth, low latency interconnect. Previously, traffic simulation on FPGAs was limited to very short road segments or required a very large number of FPGAs. Our data streaming approach overcomes scaling issues associated with direct implementations and still allows for high-level parallelism by dividing the data sets between hardware and software across the reconfigurable supercomputer. Using one FPGA on the Cray XD1 supercomputer, we are able to achieve a 34.4 x speed up over the AMD microprocessor. System integration issues must be optimized to exploit this speedup in the overall simulation.

  9. The Dark Side of the Web: An Open Proxy's View Vivek S. Pai, Limin Wang, KyoungSoo Park, Ruoming Pang, and Larry Peterson

    E-Print Network [OSTI]

    Park, KyoungSoo

    The Dark Side of the Web: An Open Proxy's View Vivek S. Pai, Limin Wang, KyoungSoo Park, Ruoming with other resources on the Web. While such interaction can easily attract clients and traffic, our expe, deployed on PlanetLab, uses a network of caching Web proxy servers to intelligently dis- tribute and cache

  10. TecnologieWeb LABORATORIO

    E-Print Network [OSTI]

    Goy, Anna

    1 TecnologieWeb LABORATORIO a.a. 2015/2016 · WordPress e InstantWP · Progettazione e realizzazione di un sito web Goy - a.a. 2015/2016 Tecnologie Web 1 TecnologieWeb ­ WordPress WordPress si può possibile scaricare il CMS d i ll l i PC Goy - a.a. 2015/2016 Tecnologie Web 2 da installare sul proprio PC

  11. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure & Additional Variability of Case T What-If Focus Vessel Arrivals Draft #12;T: GW - KM - DP 3D Risk Profile All FV - Vessel Time Exposure: 125% of Base Case VTE 23-24 22-23 21-22 20-21 19-20 18-19 17-18 16-17 15

  12. FPGA Based Real-time Network Traffic Analysis using Traffic Dispersion Patterns

    SciTech Connect (OSTI)

    Khan, F; Gokhale, M; Chuah, C N

    2010-03-26

    The problem of Network Traffic Classification (NTC) has attracted significant amount of interest in the research community, offering a wide range of solutions at various levels. The core challenge is in addressing high amounts of traffic diversity found in today's networks. The problem becomes more challenging if a quick detection is required as in the case of identifying malicious network behavior or new applications like peer-to-peer traffic that have potential to quickly throttle the network bandwidth or cause significant damage. Recently, Traffic Dispersion Graphs (TDGs) have been introduced as a viable candidate for NTC. The TDGs work by forming a network wide communication graphs that embed characteristic patterns of underlying network applications. However, these patterns need to be quickly evaluated for mounting real-time response against them. This paper addresses these concerns and presents a novel solution for real-time analysis of Traffic Dispersion Metrics (TDMs) in the TDGs. We evaluate the dispersion metrics of interest and present a dedicated solution on an FPGA for their analysis. We also present analytical measures and empirically evaluate operating effectiveness of our design. The mapped design on Virtex-5 device can process 7.4 million packets/second for a TDG comprising of 10k flows at very high accuracies of over 96%.

  13. Traffic flow wide-area surveillance system definition

    SciTech Connect (OSTI)

    Allgood, G.O.; Ferrell, R.K.; Kercel, S.W.; Abston, R.A.; Carnal, C.L. [Oak Ridge National Lab., TN (United States); Moynihan, P.I. [Jet Propulsion Lab., Pasadena, CA (United States)

    1994-11-01

    Traffic Flow Wide-Area Surveillance (TFWAS) is a system for assessing the state of traffic flow over a wide area for enhanced traffic control and improved traffic management and planning. The primary purpose of a TFWAS system is to provide a detailed traffic flow description and context description to sophisticated traffic management and control systems being developed or envisioned for the future. A successful TFWAS system must possess the attributes of safety, reconfigurability, reliability, and expandability. The primary safety premise of TFWAS is to ensure that no action or failure of the TFWAS system or its components can result in risk of injury to humans. A wide variety of communication techniques is available for use with TFWAS systems. These communication techniques can be broken down into two categories, landlines and wireless. Currently used and possible future traffic sensing technologies have been examined. Important criteria for selecting TFWAS sensors include sensor capabilities, costs, operational constraints, sensor compatibility with the infrastructure, and extent. TFWAS is a concept that can take advantage of the strengths of different traffic sensing technologies, can readily adapt to newly developed technologies, and can grow with the development of new traffic control strategies. By developing innovative algorithms that will take information from a variety of sensor types and develop descriptions of traffic flows over a wide area, a more comprehensive understanding of the traffic state can be provided to the control system to perform the most reasonable control actions over the entire wide area. The capability of characterizing the state of traffic over an entire region should revolutionize developments in traffic control strategies.

  14. Networking and the Web World-Wide Web

    E-Print Network [OSTI]

    Lin, Ming C.

    Networking and the Web #12;World-Wide Web · Wide use of computers Web · Key components of the web ­ Computer Communica8on Networks

  15. ISI Web of Knowledge111 -ISI Web of Knowledge

    E-Print Network [OSTI]

    Ben-Or, Michael

    ­ ISI Web of Knowledge111 © , . , , , . . , . , . . -ISI Web of Knowledge )http:// webofknowledge.com( , , , . . -ISI Web of Knowledge: Web of Science(-1691) , . Biosis Previews(-1661 ) - , , , . MEDLINE(-1611

  16. Section Course Term Credits Room Day Time 132D ALS4932 Fall 1 WEB WEB WEB

    E-Print Network [OSTI]

    Watson, Craig A.

    Section Course Term Credits Room Day Time 132D ALS4932 Fall 1 WEB WEB WEB 1G73 FNR3131C Fall 3 DEGREE APPLICATIONS DUE September 13th CLASSES END December 4th WEB WEB WEB WEB Forest Operations Sager WEB Capinera WEB Turf and Ornamental Entomology Buss WEB Bennet Capinera Lutz STAFF Mac

  17. Increase Natural Gas Energy Efficiency - Q & A | 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 APPENDIXsource History View NewGuam:on Openei |source History ViewInQbator

  18. Traffic congestion forecasting model for the INFORM System. Final report

    SciTech Connect (OSTI)

    Azarm, A.; Mughabghab, S.; Stock, D.

    1995-05-01

    This report describes a computerized traffic forecasting model, developed by Brookhaven National Laboratory (BNL) for a portion of the Long Island INFORM Traffic Corridor. The model has gone through a testing phase, and currently is able to make accurate traffic predictions up to one hour forward in time. The model will eventually take on-line traffic data from the INFORM system roadway sensors and make projections as to future traffic patterns, thus allowing operators at the New York State Department of Transportation (D.O.T.) INFORM Traffic Management Center to more optimally manage traffic. It can also form the basis of a travel information system. The BNL computer model developed for this project is called ATOP for Advanced Traffic Occupancy Prediction. The various modules of the ATOP computer code are currently written in Fortran and run on PC computers (pentium machine) faster than real time for the section of the INFORM corridor under study. The following summarizes the various routines currently contained in the ATOP code: Statistical forecasting of traffic flow and occupancy using historical data for similar days and time (long term knowledge), and the recent information from the past hour (short term knowledge). Estimation of the empirical relationships between traffic flow and occupancy using long and short term information. Mechanistic interpolation using macroscopic traffic models and based on the traffic flow and occupancy forecasted (item-1), and the empirical relationships (item-2) for the specific highway configuration at the time of simulation (construction, lane closure, etc.). Statistical routine for detection and classification of anomalies and their impact on the highway capacity which are fed back to previous items.

  19. Florida County Seeks to Reduce Emissions and Improve Traffic

    Office of Energy Efficiency and Renewable Energy (EERE)

    St. Johns County, Florida is tackling its traffic-timing problem with a little help from an Energy Department Energy Efficiency and Conservation Block grant. The county will use the grant to improve traffic flow by re-synchronizing signals at five major road segments. In total, 23 traffic signals will be retimed and synchronized, resulting in lower fuel consumption, shorter travel times, increased travel speed, less stopping and less engine idling.

  20. Web services @ MIT

    E-Print Network [OSTI]

    Tyagi, Sapna DevendraSingh, 1978-

    2004-01-01

    There are several useful web services developed at MIT by students, faculty and researchers. However, they are scattered all over MIT. Most people at MIT are unaware of the availability of these web services and hence they ...

  1. On Web Taxonomy Integration

    E-Print Network [OSTI]

    Zhang, Dell

    We address the problem of integrating objects from a source taxonomy into a master taxonomy. This problem is not only pervasive on the nowadays web, but also important to the emerging semantic web. A straightforward approach ...

  2. Measurements of Diesel Truck Traffic Associated with Goods Movement

    E-Print Network [OSTI]

    Houston, Douglas; Krudysz, Margaret; Winer, Arthur

    2007-01-01

    Concentrations of PM2.5 and Diesel Exhaust Particles onPatterns of Measured Port Diesel Traffic. (a) Intersectionof particulate emissions from diesel engines: a review’, J.

  3. Resisting Traffic Analysis on Encrypted Data Streams | The Ames...

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

    Resisting Traffic Analysis on Encrypted Data Streams New innovations in energy delivery systems and control systems continue to advance the reliability and resilience of the...

  4. Addendum to 2010 NREL Environmental Performance Report ? Traffic...

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

    was developed to address potential environmental impacts from changes in traffic at NREL and to support a Finding of No Significant Impact for several projects at the...

  5. NREL Leads Effort to Get Traffic Moving in Right Direction -...

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

    NREL Leads Effort to Get Traffic Moving in Right Direction Connected Traveler project will guide travelers in energy-efficient manner August 17, 2015 The Energy Department's...

  6. Demystifying Web GIS

    E-Print Network [OSTI]

    Fu, Pinde

    2010-11-18

    ESRI, Senior GIS application developer and project lead http://www.esri.com/news/arcwatch/0610/web-gis.html...

  7. Web Editors Tips & Tricks

    E-Print Network [OSTI]

    Dhamala, Mukesh

    Web Editors VOLUME 4.0 Tips & Tricks Editing is the first step to success: One of the most important aspects of maintaining a successful web presence is the editing process. It is extremely important and review: studentaffairs.gsu.edu/web-support. · Phone: Hyphenate to separate sections. · Time: Reference

  8. Introduction web smantique

    E-Print Network [OSTI]

    Gagnon, Michel

    Introduction au web sémantique Michel Gagnon École polytechnique de montréal #12;Plan de la présentation Définition et description générale Les différentes couches du web sémantique Exemples d'application Conclusion #12; Définition et description générale Les différentes couches du web sémantique Exemples d

  9. Web Reimbursement Reimbursement Policies

    E-Print Network [OSTI]

    Web Reimbursement Reimbursement Policies 8/13/2012 For Harvard Business Use Only Page 1 section on the Harvard Travel Services web site: www.travel.harvard.edu or by calling (617) 495 payments are submitted as web reimbursements, they will be returned to the department for correct

  10. Temporal Search Web Archives

    E-Print Network [OSTI]

    Waldmann, Uwe

    Temporal Search in Web Archives Dissertation zur Erlangung des Grades Doktor der 10.02.2010 (Klaus Lorenz Berberich) #12;vi #12;Abstract Web archives include both archives of contents originally published on the Web (e.g., the Internet Archive) but also archives of contents

  11. Semantic Web Pascal Hitzler

    E-Print Network [OSTI]

    Hitzler, Pascal

    Chapter 1 Semantic Web Pascal Hitzler Kno.e.sis Center, Wright State University, Dayton, OH, USA 1.1.1 Languages for Representing Knowledge on the Web ............................. 2 1.1.2 Formal the Semantic Web Vision ................................ 4 1.1.4 Linked Data

  12. Programmation Web Introduction

    E-Print Network [OSTI]

    Belaïd, Abdel

    1 Programmation Web Introduction #12;2 Introduction 10 séances ­ 1 h cours + 1h TD Notes 2 absences non justifiées) ­ Note finale : (2DS+TP)/3 ~TD #12;3 Objectif Créer une application Web;5 Introduction C'est quoi une application web ? ­ Une application dont l'infrastructure d'exécution est

  13. Engineering Adaptive Web Applications

    E-Print Network [OSTI]

    Dolog, Peter

    Engineering Adaptive Web Applications Von Fakultät für Elektrotechnik und Informatik der Peter Dolog Engineering Adaptive Web Applications Dr. rer. nat. Dissertation 2006 #12;#12;Zusammenfassung: Nutzer von Web-Anwendungen stammen sich aus verschiedensten Nut- zergruppen, die sich in ihrem

  14. Programmazione Web PHP -Introduzione

    E-Print Network [OSTI]

    De Antonellis, Valeria

    Programmazione Web PHP - Introduzione 1 #12;·PHP: Hypertext Preprocessor è un linguaggio di programmazione utilizzato prevalentemente per la programmazione di pagine Web ·Alcune caratteristiche "tecnicheProgrammazione Web - PHP: introduzione #12;·Il codice PHP viene inserito in una pagina (X)HTML (sul server) ·Il

  15. Web Services Distributed

    E-Print Network [OSTI]

    Cook, William R.

    1 Web Services versus Distributed Objects William R. Cook, Janel Barfield University of Texas at Austin 2 How many times have you heard... 3 "Web Services suck..." ? 4 "WS are a bad version Objects 10 to 100 times faster than Web Services 7 Test Case Call a remote service that returns an integer

  16. Probabilistic Web Image Gathering

    E-Print Network [OSTI]

    Yanai, Keiji

    1 Probabilistic Web Image Gathering 1. Objective & background 2. Related work 3. Method 4, JAPAN (UEC) (Long-term) Objective of our Web Image Gathering Gather several hundreds of images associated with one concept from the Web without human intervention It's not image search. Non

  17. Automatic Web Spreadsheet Data

    E-Print Network [OSTI]

    Cafarella, Michael J.

    Automatic Web Spreadsheet Data Extraction Shirley Zhe Chen Michael Cafarella SSW 2013 #12.wto.org 3863 0.94% www.doh.wa.gov 3579 0.87% www.nsf.gov 2770 0.67% nces.ed.gov 2177 0.53% ·Our Web crawl spreadsheet with either a hierarchical left or top attribute region. #12;Web Spreadsheets Observations

  18. WebWorkload Characterization

    E-Print Network [OSTI]

    Zilles, Craig

    WebWorkload Characterization at a Micro­architectural Level Ramesh Radhakrishnan, Lizy John Laboratory, IBM Austin, TX. #12; Goals of this study n We study the behavior of modernWeb server applications programs to understand how they interact with the underlyingWeb server, hardware and OS under realistic

  19. Allegato A) SERVIZI WEB

    E-Print Network [OSTI]

    Guidoni, Leonardo

    Allegato A) SERVIZI WEB Dottorato di ricerca Modalità per la stampa del modulo di pagamento e della bisogna: 1. connettersi alla pagina web: http://www.uniroma1.it/didattica/sportelli/infostud (sulla stessa pagina web sono illustrati anche i requisiti tecnici necessari per effettuare correttamente le operazioni

  20. FlySanDiego: a Web-aware 3D Interactive Regional Information System

    E-Print Network [OSTI]

    Bailey, Mike

    to the population as a whole should be a municipal priority, but sadly it is not. From traffic patterns to weather be a municipal priority. Using San Diego County as an example, our lives are filled with brush fires, earthquake better. Access to the World Wide Web is becoming a standard feature in most homes. A nice feature

  1. Piggy Bank: Experience the Semantic Web Inside Your Web Browser

    E-Print Network [OSTI]

    Huynh, David

    The Semantic Web Initiative envisions a Web wherein information is offered free of presentation, allowing more effective exchange and mixing across web sites and across web pages. But without substantial Semantic Web ...

  2. Integrating Web Content Clustering into Web Log Association Rule Mining

    E-Print Network [OSTI]

    Keselj, Vlado

    with the content of Web pages, ­ Web Stucture Mining, concerned with the link structure of the Web, and ­ Web Usage interests. Also, with the development of Web design techniques, more and more CGI programs are used instead

  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. Watching Traffic for an Anomaly: Data Visualization

    E-Print Network [OSTI]

    Patwari, Neal

    -generated map -20 -15 -10 -5 0 5 10 15 -2 -1.5 -1 -0.5 0 0.5 1 1.5 2 2.5 ATLA CHIN DNVR HSTN IPLS KSCY LOSA NYCM SNVA STTL WASH -20 -15 -10 -5 0 5 10 15 20 -8 -6 -4 -2 0 2 4 6 8 10 ATLA CHIN DNVR HSTN IPLS KSCY LOSA [1] Plonka, D. "FlowScan: A Network Traffic Flow Reporting and Visualization Tool". In Proc. LISA

  5. Traffic lights for crop-based biofuels

    E-Print Network [OSTI]

    Phalan, Ben

    stream_source_info Phalan_311010.pdf.txt stream_content_type text/plain stream_size 11462 Content-Encoding UTF-8 stream_name Phalan_311010.pdf.txt Content-Type text/plain; charset=UTF-8 Traffic lights for crop-based biofuels Ben... if it reduces the number of pedestrians killed and injured. How is this relevant to biofuels? There are many different kinds of biofuels, including some with considerable potential to generate cleaner energy and boost rural economies, but also others which...

  6. Drying of fiber webs

    DOE Patents [OSTI]

    Warren, D.W.

    1997-04-15

    A process and an apparatus are disclosed for high-intensity drying of fiber webs or sheets, such as newsprint, printing and writing papers, packaging paper, and paperboard or linerboard, as they are formed on a paper machine. The invention uses direct contact between the wet fiber web or sheet and various molten heat transfer fluids, such as liquefied eutectic metal alloys, to impart heat at high rates over prolonged durations, in order to achieve ambient boiling of moisture contained within the web. The molten fluid contact process causes steam vapor to emanate from the web surface, without dilution by ambient air; and it is differentiated from the evaporative drying techniques of the prior industrial art, which depend on the uses of steam-heated cylinders to supply heat to the paper web surface, and ambient air to carry away moisture, which is evaporated from the web surface. Contact between the wet fiber web and the molten fluid can be accomplished either by submersing the web within a molten bath or by coating the surface of the web with the molten media. Because of the high interfacial surface tension between the molten media and the cellulose fiber comprising the paper web, the molten media does not appreciatively stick to the paper after it is dried. Steam generated from the paper web is collected and condensed without dilution by ambient air to allow heat recovery at significantly higher temperature levels than attainable in evaporative dryers. 6 figs.

  7. Drying of fiber webs

    DOE Patents [OSTI]

    Warren, David W. (9253 Glenoaks Blvd., Sun Valley, CA 91352)

    1997-01-01

    A process and an apparatus for high-intensity drying of fiber webs or sheets, such as newsprint, printing and writing papers, packaging paper, and paperboard or linerboard, as they are formed on a paper machine. The invention uses direct contact between the wet fiber web or sheet and various molten heat transfer fluids, such as liquified eutectic metal alloys, to impart heat at high rates over prolonged durations, in order to achieve ambient boiling of moisture contained within the web. The molten fluid contact process causes steam vapor to emanate from the web surface, without dilution by ambient air; and it is differentiated from the evaporative drying techniques of the prior industrial art, which depend on the uses of steam-heated cylinders to supply heat to the paper web surface, and ambient air to carry away moisture, which is evaporated from the web surface. Contact between the wet fiber web and the molten fluid can be accomplished either by submersing the web within a molten bath or by coating the surface of the web with the molten media. Because of the high interfacial surface tension between the molten media and the cellulose fiber comprising the paper web, the molten media does not appreciately stick to the paper after it is dried. Steam generated from the paper web is collected and condensed without dilution by ambient air to allow heat recovery at significantly higher temperature levels than attainable in evaporative dryers.

  8. Parallel Transports in Webs

    E-Print Network [OSTI]

    Christian Fleischhack

    2003-07-17

    For connected reductive linear algebraic structure groups it is proven that every web is holonomically isolated. The possible tuples of parallel transports in a web form a Lie subgroup of the corresponding power of the structure group. This Lie subgroup is explicitly calculated and turns out to be independent of the chosen local trivializations. Moreover, explicit necessary and sufficient criteria for the holonomical independence of webs are derived. The results above can even be sharpened: Given an arbitrary neighbourhood of the base points of a web, then this neighbourhood contains some segments of the web whose parameter intervals coincide, but do not include 0 (that corresponds to the base points of the web), and whose parallel transports already form the same Lie subgroup as those of the full web do.

  9. Evaluation of detector placement strategies for first generation traffic responsive signal control 

    E-Print Network [OSTI]

    Brehmer, Christopher Lynn

    1996-01-01

    Traffic responsive signal systems rely on system detector data to evaluate current traffic conditions and select a corresponding timing plan from a library of plans. One of the major decisions surrounding the use of traffic responsive signal systems...

  10. Study on the relationship between left-turn traffic operations and safety at signalized intersections 

    E-Print Network [OSTI]

    Lee, Sunghoon

    2009-06-02

    Intersections are the most complex locations in a traffic system and are likely to have a higher crash count than any other location in the system. Intersection safety is related to traffic operations, such as traffic signal and approaching volume...

  11. Development of a Web-based Emissions Reduction Calculator for Street Light and Traffic Light Retrofits 

    E-Print Network [OSTI]

    Liu, Z.; Gilman, D.; Haberl, J. S.; Culp, C.

    2005-01-01

    Page C.l - PROJECT D E S C R I P T I O N ........................................ ^5 C.2 - ASSUMPTION OF RESPONSIBILITY........................... ... 51 C.2.1 - PLANNING AND SCHEDULING........................... ... 51 C.2.2 - TRACKING AND C O N... \\ 5-1 O O ?H ?H a} CU PM P-i w X n ? PL, Q <3 PQ CJ P w CJ EC 5-1O 4JcdL

  12. Horizon Extender: Long-term Preservation of Data Leakage Evidence in Web Traffic

    E-Print Network [OSTI]

    Lenders, Vincent

    @tik.ee.ethz.ch Vincent Lenders armasuisse, Switzerland vincent.lenders@armasuisse.ch ABSTRACT This paper presents Horizon

  13. Clean Cities Web Sites and Web Tools

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy (DOE) Technical Assistance Project (TAP) for state and local officials Webinar presentation on July 28, 2010 by Johanna Levene, senior Web applications at the DOE National Renewable Energy Laboratory (NREL), about the DOE Clean Cities program to promote the use of alternative fuels and reduce petroleum consumption.

  14. Energy Information, Data, and other Resources | OpenEI

    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,Wind UKEnergiefeld1andTeamWeb Service

  15. On Efficient Bandwidth Allocation for Traffic Variability in Datacenters

    E-Print Network [OSTI]

    Lui, John C.S.

    On Efficient Bandwidth Allocation for Traffic Variability in Datacenters Jian Guo1 Fangming Liu1 of Hong Kong. Abstract--Datacenter networks suffer unpredictable perfor- mance due to a lack dynamic traffic in datacenter networks. In this paper, we consider the effects of large numbers of short

  16. Jetway: Minimizing Costs on Inter-Datacenter Video Traffic

    E-Print Network [OSTI]

    Li, Baochun

    Jetway: Minimizing Costs on Inter-Datacenter Video Traffic Yuan Feng, Baochun Li Department deploy a number of datacenters inter-connected by high-capacity links, spanning different geographical-to-customer video serving, constitutes a large portion of a cloud provider's inter- datacenter traffic. Charged

  17. ON DATA ACQUISITION, MODELING AND SIMULATION OF HIGHWAY TRAFFIC

    E-Print Network [OSTI]

    pollution, health problems, stress, and discomfort. Therefore, the prediction of traffic jams, 1990): number of vehicles per time unit (traffic intensity), speed of the vehicles, occupancy level of vehicles passing at a certain point in a certain #12; data acquisition interfacing conditioning data

  18. Top-percentile traffic routing problem by Dynamic Programming

    E-Print Network [OSTI]

    Grothey, Andreas

    Top-percentile traffic routing problem by Dynamic Programming Andreas Grothey, Xinan Yang School according to top-percentile pricing. We call this problem the Top-percentile Traffic Routing Problem (Tp problem, which is hard to solve due to the integer variables introduced by top-percentile pricing. Several

  19. Prediction of traffic flow for real-time control 

    E-Print Network [OSTI]

    Chandrasekaran, Priya

    1998-01-01

    The prediction of traffic flow on a network and the relationship of these flows to the traffic control signal settings are major factors in the development of an adaptive real-time signal system. PASSER IV is an arterial system optimization package...

  20. Traffic Light Mapping and Detection Nathaniel Fairfield Chris Urmson

    E-Print Network [OSTI]

    Cortes, Corinna

    Traffic Light Mapping and Detection Nathaniel Fairfield Chris Urmson {nfairfield, curmson, and lidar to perceive their surroundings, the state of standard traffic lights can only be perceived lights and improve detection of the light state. The prior map also encodes the control semantics

  1. A mathematical model and descent algorithm for bilevel traffic management

    E-Print Network [OSTI]

    Patriksson, Michael

    variables enter as parameters in the travel costs. We consider a (small) variety of model settings, and interpret their workings in terms of the traffic network. Key words: Traffic equilibrium; Stackelberg game derivative; Armijo line search; stationary point. 1 Introduction The need for measures to reduce congestion

  2. Internet Packet Transport: Traffic Control and Network Engineering \\Lambda

    E-Print Network [OSTI]

    Kumar, Anurag

    Internet Packet Transport: Traffic Control and Network Engineering \\Lambda ANURAG KUMAR Dept. of Electrical Communication Engineering Indian Institute of Science Bangalore, 560 012 Abstract The Internet can of store­and­forward (also called elastic) traffic in the Internet. We first motivate the need for feedback

  3. TMN conference Page 1 Traffic Management for IBC networks

    E-Print Network [OSTI]

    Griffin, David

    manager. This is particularly useful for congestion control and load balancing as well as reTMN conference Page 1 Traffic Management for IBC networks by David Griffin (GPT Ltd) and Pravin Patel (Dowty Communications Ltd) 1 Introduction This paper concentrates on the traffic management

  4. Meddle: Middleboxes for Increased Transparency and Control of Mobile Traffic

    E-Print Network [OSTI]

    Legout, Arnaud

    a framework that allows us to intercept and potentially modify traffic generated by mobile devices this function- ality is difficult on mobile devices because it requires warranty- voiding techniques- proach, carriers may manipulate traffic once it leaves the mobile device [13], thus rendering some

  5. Nericell: Rich Monitoring of Roads and Traffic Using Mobile Smartphones

    E-Print Network [OSTI]

    Rajamani, Sriram K.

    Nericell: Rich Monitoring of Roads and Traffic Using Mobile Smartphones Joint work with Prashanth India 1 Ram Ramjee #12;Road and Traffic Monitoring 2 Bangalore Courtesy intersections · Potholes · Road bumps · ... Need to go beyond GPS-based vehicle tracking! #12;Widespread

  6. Pricing Schemes for Metropolitan Traffic Data Markets Negin Golrezaei1

    E-Print Network [OSTI]

    Shahabi, Cyrus

    Marshall School of Business, University of Southern California, Los Angeles, CA 90089 {golrezae, nazerzad of the pricing schemes applicable to data marketplaces in the context of transportation traffic data. Traffic congestion is a growing problem in many metropolitan areas. It not only wastes our time and energy

  7. Semantic Web Service Architecture --Evolving Web Service Standards toward the Semantic Web

    E-Print Network [OSTI]

    Staab, Steffen

    Coverpage Semantic Web Service Architecture -- Evolving Web Service Standards toward the Semantic Web Tanja Sollazzo, Siegfried Handschuh, Steffen Staab, Martin Frank Abstract. The importance of Web by Semantic Web technologies such that a smooth evolution from Web services in the current Web to Web services

  8. Exploiting the Social and Semantic Web for Guided Web Archiving

    E-Print Network [OSTI]

    Senellart, Pierre

    Exploiting the Social and Semantic Web for Guided Web Archiving Thomas Risse1 , Stefan Dietze1. The constantly growing amount of Web content and the suc- cess of the Social Web lead to increasing needs for Web archiving. These needs go beyond the pure preservation of Web pages. Web archives are turning

  9. A Web Usage Mining Framework for Web Directories Personalization

    E-Print Network [OSTI]

    Kouroupetroglou, Georgios

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

  10. Keeping the Web in Web 2.0 An HCI Approach to Designing Web

    E-Print Network [OSTI]

    Tomkins, Andrew

    Keeping the Web in Web 2.0 An HCI Approach to Designing Web Applications CHI 2007 Course Notes.....................................................................................................................................1 1. Web Application UI versus Desktop Application UI..............................................................................................................................2 3. Examples of State Management in Web Applications

  11. An Introduction to Webs

    E-Print Network [OSTI]

    White, C D

    2015-01-01

    Webs are sets of Feynman diagrams that contribute to the exponents of scattering amplitudes, in the kinematic limit in which emitted radiation is soft. As such, they have a number of phenomenological and formal applications, and offer tantalising glimpses into the all-order structure of perturbative quantum field theory. This article is based on a series of lectures given to graduate students, and aims to provide a pedagogical introduction to webs. Topics covered include exponentiation in (non-)abelian gauge theories, the web mixing matrix formalism for non-abelian gauge theories, and recent progress on the calculation of web diagrams. Problems are included throughout the text, to aid understanding.

  12. An Introduction to Webs

    E-Print Network [OSTI]

    C. D. White

    2015-07-08

    Webs are sets of Feynman diagrams that contribute to the exponents of scattering amplitudes, in the kinematic limit in which emitted radiation is soft. As such, they have a number of phenomenological and formal applications, and offer tantalising glimpses into the all-order structure of perturbative quantum field theory. This article is based on a series of lectures given to graduate students, and aims to provide a pedagogical introduction to webs. Topics covered include exponentiation in (non-)abelian gauge theories, the web mixing matrix formalism for non-abelian gauge theories, and recent progress on the calculation of web diagrams. Problems are included throughout the text, to aid understanding.

  13. Web Writing Requirements

    Broader source: Energy.gov [DOE]

    When writing content for Office of Energy Efficiency and Renewable Energy (EERE) websites and applications, follow these requirements. Also see EERE's Web writing best practices.

  14. Semantic Web for Manufacturing Web Services

    SciTech Connect (OSTI)

    Kulvatunyou, Boonserm; Ivezic, Nenad

    2002-06-01

    As markets become unexpectedly turbulent with a shortened product life cycle and a power shift towards buyers, the need for methods to rapidly and cost-effectively develop products, production facilities and supporting software is becoming urgent. The use of a virtual enterprise plays a vital role in surviving turbulent markets. However, its success requires reliable and large-scale interoperation among trading partners via a semantic web of trading partners' services whose properties, capabilities, and interfaces are encoded in an unambiguous as well as computer-understandable form. This paper demonstrates a promising approach to integration and interoperation between a design house and a manufacturer by developing semantic web services for business and engineering transactions. To this end, detailed activity and information flow diagrams are developed, in which the two trading partners exchange messages and documents. The properties and capabilities of the manufacturer sites are defined using DARPA Agent Markup Language (DAML) ontology definition language. The prototype development of semantic webs shows that enterprises can widely interoperate in an unambiguous and autonomous manner; hence, virtual enterprise is realizable at a low cost.

  15. Introduction...................................................................................................... 4 Web browser .........................................................................................................................4

    E-Print Network [OSTI]

    Blows, Mark

    ...................................................................................................... 4 Web browser that Mac OS 10.3 is not supported for Blackboard v9 Web browser Blackboard is a web-based application

  16. web identity standards introduction .............................................................................................................87

    E-Print Network [OSTI]

    Mullins, Dyche

    web identity standards sectionten 86 contents introduction............................................................................................................... 89-90 tagline and the web .................................................................................................91 tagline and the web: improper use

  17. Integrating Personal Web Data through Semantically Enhanced Web Portal

    E-Print Network [OSTI]

    Integrating Personal Web Data through Semantically Enhanced Web Portal Lidia Rovan, Tomislav Jagust: Currently, the World Wide Web is mostly composed of isolated and loosely connected "data islands Web usage process. Creating infrastructure that would support automation of that process

  18. Generation of Web Service Descriptions and Web Service

    E-Print Network [OSTI]

    Generation of Web Service Descriptions and Web Service Module Implementation for Concept University of Science and Technology Software Systems Institute (STS) #12;Abstract Nowadays web services in order to initiate the communication. A web services endpoint communication interface utilizes

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

    E-Print Network [OSTI]

    Libre de Bruxelles, Université

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

  20. Automated Web Page Synthesis in Adaptive Web Systems

    E-Print Network [OSTI]

    Ghorbani, Ali

    Automated Web Page Synthesis in Adaptive Web Systems Hossein Sadat and Ali Ghorbani Intelligent, Canada {t15h7,ghorbani}@unb.ca Abstract. An adaptive Web system adapts the Web pages to its users, based of the system. In this paper, we formalize dynamic generation of Web pages and refer to it as Web page synthesis

  1. Incremental Web Search: Tracking Changes in the Web

    E-Print Network [OSTI]

    Mohri, Mehryar

    Incremental Web Search: Tracking Changes in the Web by Ziyang Wang A dissertation submitted amount of new information is posted on the Web every day. Large-scale web search engines often update our solutions of searching new information from the web by tracking the changes of web documents

  2. Incremental Web Search: Tracking Changes in the Web

    E-Print Network [OSTI]

    Mohri, Mehryar

    Incremental Web Search: Tracking Changes in the Web by Ziyang Wang A dissertation submitted #12; Abstract A large amount of new information is posted on the Web every day. Large­scale web search. In this thesis, we present our solutions of searching new information from the web by tracking the changes of web

  3. Web Community Directories: A new approach to Web Personalization

    E-Print Network [OSTI]

    Paliouras, George

    Web Community Directories: A new approach to Web Personalization Dimitrios Pierrakos1 , Georgios@ucy.ac.cy Abstract. This paper introduces a new approach to Web Personaliza- tion, named Web Community Directories personalization techniques to the well-known concept of Web Directories. The Web directory is viewed as a concept

  4. Programmazione Web Introduzione a Javascript

    E-Print Network [OSTI]

    De Antonellis, Valeria

    Programmazione Web Introduzione a Javascript #12;Programmazione Web - Introduzione a Javascript 2 possibile creare dinamicamente i contenuti di una pagina web e aggiungere interattività alla pagina stessa programmazione differenti!!! Javascript - Definizione #12;Programmazione Web - Introduzione a Javascript 3 Gli

  5. Using Linearity Web Copyright 2007

    E-Print Network [OSTI]

    Rodriguez, Carlos

    Using Linearity Web Rev. 2.0 May 2007 Copyright © 2007 #12;Using Linearity Web i Contents Introduction to Linearity Web.............................................................................1 Features, Benefits, and Value of Linearity Web..............................................1 Before You

  6. Visualization of Traffic Flow and Atmospheric Pollutant Flow in Urban Areas

    E-Print Network [OSTI]

    Tokyo, University of

    and air pollutants using polygons and translucent particles. The system is applied for public roads around.transport.iis.u-tokyo.ac.jp CCity modelity model Air pollutionAir pollution simsim.. TrafficTraffic simsim.. CCity modelity model Air pollutionAir pollution simsim.. TrafficTraffic simsim.. #12;

  7. The impact of gasoline price changes on traffic safety: a time geography explanation Guangqing Chi a,

    E-Print Network [OSTI]

    Levinson, David M.

    The impact of gasoline price changes on traffic safety: a time geography explanation Guangqing Chi, United States a r t i c l e i n f o Keywords: Time geography Gasoline prices Traffic safety Traffic crashes Fatal crashes Space­time path a b s t r a c t The impact of gasoline price changes on traffic

  8. BBN Technical Memorandum No. 1321 Using Signal Processing to Analyze Wireless Data Traffic

    E-Print Network [OSTI]

    Strayer, William Timothy

    such as tunneling, traf- fic aggregation, false traffic generation, and data padding. Tunneling hides the original and uses security gateways as the endpoints as traffic traverses hostile networks. Traffic aggregation works with tunneling under the theory of protection in numbers--many traffic flows all sharing the same

  9. Abstraction for web programming 

    E-Print Network [OSTI]

    Yallop, Jeremy

    2010-01-01

    This thesis considers several instances of abstraction that arose in the design and implementation of the web programming language Links. The first concerns user interfaces, specified using HTML forms. We wish to construct ...

  10. Web Coordinator Meetings

    Office of Energy Efficiency and Renewable Energy (EERE)

    Once a month, the Office of Energy Efficiency and Renewable Energy (EERE) Web coordinators meet to ask questions, share their experiences, announce new sites, and learn about the latest updates on the EERE website.

  11. Web Analytics and Statistics

    Office of Energy Efficiency and Renewable Energy (EERE)

    EERE uses Google Analytics to capture statistics on its websites. These statistics help website managers measure and report on users, sessions, most visited pages, and more. The Web Template...

  12. Web Writing Best Practices

    Broader source: Energy.gov [DOE]

    In addition to Web writing requirements, follow these best practices to help you create user friendly content for Office of Energy Efficiency and Renewable Energy (EERE) websites and applications.

  13. Predicting traffic speed in urban transportation subnetworks for multiple horizons

    E-Print Network [OSTI]

    Jaillet, Patrick

    such as route guidance, urban traffic control and management, and sustainable mobility [1]­[3]. Consequently Laboratory for Information and Decision Systems, MIT, Cambridge, MA. 4 Center for Future Urban Mobility

  14. Fact #667: March 21, 2011 Fuel Wasted in Traffic Congestion

    Broader source: Energy.gov [DOE]

    The researchers at the Texas Transportation Institute have recently published new estimates of the effects of traffic congestion. The trend toward increased congestion eased in 2007 and 2008 with...

  15. Decision support systems for automated terminal area air traffic control

    E-Print Network [OSTI]

    Pararas, John Demetrios

    1982-01-01

    This work studies the automation of the terminal area Air Traffic Management and Control (ATM/C) system. The ATM/C decision-making process is analyzed and broken down into a number of "automation functions". Each of these ...

  16. Observability of Origin-Destination matrices for Dynamic Traffic Assignment

    E-Print Network [OSTI]

    Gupta, Ashish, S.M. Massachusetts Institute of Technology

    2005-01-01

    The estimation of dynamic Origin-Destination (O-D) matrices from aggregated sensor counts is one of the most important and well-researched problems in Dynamic Traffic Assignment (DTA) systems. In practice, more often than ...

  17. Generalized Cost Function Based Forecasting for Periodically Measured Nonstationary Traffic

    E-Print Network [OSTI]

    Zeng, Yong - Department of Mathematics and Statistics, University of Missouri

    1 Generalized Cost Function Based Forecasting for Periodically Measured Nonstationary Traffic true value. However, such a forecast- ing function is not directly applicable for applications potentially result in insufficient allocation of bandwidth leading to short term data loss. To facilitate

  18. Intelligent Cruise Control design based on a traffic flow specification 

    E-Print Network [OSTI]

    Huandra, Rusli

    1998-01-01

    The principal objectives of the Automated Highway graphics. System (AHS), an Intelligent Transportation System (ITS) technology, are to increase the safety and through-put of the existing highway by traffic automation. Advanced Vehicle Control...

  19. Robust decision-support tools for airport surface traffic

    E-Print Network [OSTI]

    Carr, Francis R. (Francis Russell), 1976-

    2004-01-01

    Forecasts of departure demand are one of the driving inputs to tactical decision-support tools (DSTs) for airport surface traffic. While there are well-known results on average- or worst-case forecast uncertainty, it is ...

  20. Robust Decision-Support Tools for Airport Surface Traffic

    E-Print Network [OSTI]

    Carr, Francis R.

    Forecasts of departure demand are one of the driving inputs to tactical decision-support tools (DSTs) for airport surface traffic. While there are well-known results on average- or worst-case forecast uncertainty, it is ...

  1. On Dominant Characteristics of Residential Broadband Internet Traffic

    E-Print Network [OSTI]

    Paxson, Vern

    of rich access allows users to tightly integrate network use into their lives--from checking the weather-to-peer--traffic dominates by a significant margin; that more often than not the home user's imme- diate ISP connectivity

  2. Microsoft Word - Results_of_the_Independent_Hanford_Traffic_Safety...

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

    2010 To: ALL HANFORD EMPLOYEES Subject: RESULTS OF INDEPENDENT HANFORD TRAFFIC SAFETY STUDY AND NEXT STEPS One of the most hazardous situations that most of us face each day is...

  3. An Ising Model for Road Traffic Cyril Furtlehner

    E-Print Network [OSTI]

    Furtlehner, Cyril

    Chapter 1 An Ising Model for Road Traffic Inference Cyril Furtlehner Abstract We review some, as a minimizer of a Bethe free energy [32], a solver of the cavity equations [21] and its relation to the TAP

  4. Structural and safety characteristics and warrants for highway traffic barriers 

    E-Print Network [OSTI]

    Kohutek, Terry Lee

    1975-01-01

    Ross Highway traffic barriers are highway appurtenances that provide vehicle occupants with a relative degree of protection from roadside hazards and from errant vehicles encroaching across a median. The six basic types of traffic barr1ers are roads... are decision criteria that 1dentify sites along highways that need traff1c barrier installations. Structural and safety character- istics of the barr1ers refer to the impact performance, the structural integrity, and the safety of the vehicle occupants upon...

  5. Factsheets Web Application

    SciTech Connect (OSTI)

    VIGIL,FRANK; REEDER,ROXANA G.

    2000-10-30

    The Factsheets web application was conceived out of the requirement to create, update, publish, and maintain a web site with dynamic research and development (R and D) content. Before creating the site, a requirements discovery process was done in order to accurately capture the purpose and functionality of the site. One of the high priority requirements for the site would be that no specialized training in web page authoring would be necessary. All functions of uploading, creation, and editing of factsheets needed to be accomplished by entering data directly into web form screens generated by the application. Another important requirement of the site was to allow for access to the factsheet web pages and data via the internal Sandia Restricted Network and Sandia Open Network based on the status of the input data. Important to the owners of the web site would be to allow the published factsheets to be accessible to all personnel within the department whether or not the sheets had completed the formal Review and Approval (R and A) process. Once the factsheets had gone through the formal review and approval process, they could then be published both internally and externally based on their individual publication status. An extended requirement and feature of the site would be to provide a keyword search capability to search through the factsheets. Also, since the site currently resides on both the internal and external networks, it would need to be registered with the Sandia search engines in order to allow access to the content of the site by the search engines. To date, all of the above requirements and features have been created and implemented in the Factsheet web application. These have been accomplished by the use of flat text databases, which are discussed in greater detail later in this paper.

  6. COWES: Clustering Web Users Based on Historical Web Sessions

    E-Print Network [OSTI]

    Bhowmick, Sourav S.

    COWES: Clustering Web Users Based on Historical Web Sessions Ling Chen1,2 , Sourav S. Bhowmick1 Institute for Infocomm Research, Singapore, 119613 Abstract. Clustering web users is one of the most important research topics in web usage mining. Existing approaches cluster web users based on the snapshots

  7. Databases on the Web: national web domain survey Denis Shestakov

    E-Print Network [OSTI]

    Hammerton, James

    , Aalto University Konemiehentie 2, Espoo, 02150 Finland denis.shestakov@aalto.fi ABSTRACT The deep Web of the deep Web by sampling one national web domain. We report some of our results ob- tained when surveying the Russian Web. The survey find- ings, namely the size estimates of the deep Web, could be useful for further

  8. Web authoring principles Deborah Cross, ANU Web Coordinator

    E-Print Network [OSTI]

    Web authoring principles Deborah Cross, ANU Web Coordinator ANU Marketing Office #12;Remembering today's session · All tips available in the web style guide at styles.anu.edu.au/guide/author.php · Contact your local web manager · Contact the ANU web team via webstyle@anu.edu.au 2 #12;3 Possible

  9. Web Content Filtering 1 User Guidelines Web content filter guidelines

    E-Print Network [OSTI]

    Swain, Peter

    Web Content Filtering 1 User Guidelines Web content filter guidelines Introduction The basic criterion for blocking a Web page Categories of material which will be blocked Requesting the unblocking of Aberdeen applies a Web Content Filtering service to all web pages accessed from the undergraduate network

  10. The Web Changes Everything: Understanding the Dynamics of Web Content

    E-Print Network [OSTI]

    Murphy, Robert F.

    The Web Changes Everything: Understanding the Dynamics of Web Content Eytan Adar University, USA jelsas@cs.cmu.edu ABSTRACT The Web is a dynamic, ever changing collection of information. This paper explores changes in Web content by analyzing a crawl of 55,000 Web pages, selected to represent

  11. Preprocessing and Mining Web Log Data for Web Personalization

    E-Print Network [OSTI]

    Ruggieri, Salvatore

    Preprocessing and Mining Web Log Data for Web Personalization M. Baglioni1 , U. Ferrara2 , A. Romei/26, 56017 S. Martino Ulmiano (PI) Italy ferrara@ksolutions.it Abstract. We describe the web usage mining behaviour of a web site users. The models are inferred from the access logs of a web server by means of data

  12. BRIDGING THE WEB OF DOCUMENTS WITH THE WEB OF DATA

    E-Print Network [OSTI]

    Tzitzikas, Yannis

    BRIDGING THE WEB OF DOCUMENTS WITH THE WEB OF DATA AT SEARCH TIME Yannis Tzitzikas University') Exploratory Search Semantic Web and Linked Data Faceted Exploration Bridging the Web of Documents with the Web of Data (50') Possible Ways Focus on doing this at search time Case studies: presented

  13. OOC Web Conferencing Team Report Web Conferencing Task Team

    E-Print Network [OSTI]

    Pittendrigh, Barry

    OOC Web Conferencing Team Report Web Conferencing Task Team Final Report ­ 1/24/2014 #12;OOC Web Conferencing Team Report 2 | P a g e Web Conferencing Task Team Final Report ­ 1/24/2014 Contents Executive..................................................................................................................................3 Growing need for web conferencing

  14. Pace Web Server: A Pure Java Web Server

    E-Print Network [OSTI]

    Tao, Lixin

    Pace Web Server: A Pure Java Web Server with a Servlet Container by Priya Srinivasaraghavan University 2003 #12;Abstract Pace Web Server: A Pure Java Web Server with a Servlet Container by Priya their products and services to their customers. An essential ingredient to the Internet has been the web server

  15. CIS192 Python Programming Web Servers and Web APIs

    E-Print Network [OSTI]

    Plotkin, Joshua B.

    CIS192 Python Programming Web Servers and Web APIs Eric Kutschera University of Pennsylvania March 6, 2015 Eric Kutschera (University of Pennsylvania) CIS 192 March 6, 2015 1 / 22 #12;Outline 1 Web Servers Purpose of Web Servers Flask 2 Web APIs REST Encoding and Encryption Eric Kutschera (University

  16. Towards a Framework for Migrating Web Applications to Web Services

    E-Print Network [OSTI]

    Cordy, James R.

    Towards a Framework for Migrating Web Applications to Web Services Asil A. Almonaies Manar H {asil,alalfi,cordy,dean}@cs.queensu.ca Abstract Migrating traditional legacy web applications to web services is an important step in the modernization of web-based business systems to more complex inter

  17. World Wide Web Internet and Web Information Systems

    E-Print Network [OSTI]

    Cao, Longbing

    1 23 World Wide Web Internet and Web Information Systems ISSN 1386-145X World Wide Web DOI 10's request, provided it is not made publicly available until 12 months after publication. #12;World Wide Web worlds. Its detection is a typical use case of the broad-based Wisdom Web of Things (W2T) methodology

  18. Evaluation of Performance of Cooperative Web Caching with Web Polygraph

    E-Print Network [OSTI]

    Subhlok, Jaspal

    Evaluation of Performance of Cooperative Web Caching with Web Polygraph Ping Du Jaspal Subhlok This paper presents a framework for evaluating the performance of cooperative Web cache hierarchies. Web Poly cache hierarchies built with Squid proxy cache servers. 1 Introduction Multiple Web caches can cooperate

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

    E-Print Network [OSTI]

    Paliouras, George

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

  20. Deep Web: Databases on the Web Denis Shestakov

    E-Print Network [OSTI]

    Hammerton, James

    Deep Web: Databases on the Web Denis Shestakov Turku Centre for Computer Science, Finland I N T R O D U C T I O N Finding information on the Web using a web search engine is one of the primary activities of today's web users. For a majority of users results returned by conventional search engines

  1. The Brownian Web

    E-Print Network [OSTI]

    L. R. G. Fontes; M. Isopi; C. M. Newman; K. Ravishankar

    2002-04-23

    Arratia, and later T\\'oth and Werner, constructed random processes that formally correspond to coalescing one-dimensional Brownian motions starting from every space-time point. We extend their work by constructing and characterizing what we call the {\\em Brownian Web} as a random variable taking values in an appropriate (metric) space whose points are (compact) sets of paths. This leads to general convergence criteria and, in particular, to convergence in distribution of coalescing random walks in the scaling limit to the Brownian Web.

  2. LSU Web Guidelines

    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 notHeat Pumps HeatTechnologies|Articles2012 2 spaceWeb

  3. ORISE: Web Development

    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 UNIVERSEHow ORISE isParis CornwellDuring EmergenciesWeb

  4. Multimedia Authoring III: Web Authoring

    E-Print Network [OSTI]

    Dahlquist, Kam D.

    Multimedia Authoring III: Web Authoring · Many multimedia applications today have a Web manifestation, whether it is the application itself or something about the application, like a DVD info Web site · The Web can "wrap" other types of content as well: Flash, audio, video · The Web provides technologies

  5. RESTful Web service composition with

    E-Print Network [OSTI]

    Bae, Doo-Hwan

    RESTful Web service composition with BPEL for REST Cesare Pautasso Data & Knowledge Engineering (2009) 2010-05-04 Seul-Ki Lee #12;Contents Introduction Background Design principles of RESTful Web SE LAB 2010 #12;Introduction (1/5) Web Service Describes web-based applications over the web

  6. Compressed Gas EHS-2200-WEB

    E-Print Network [OSTI]

    Compressed Gas Safety EHS-2200-WEB Register and launch through http://axess.stanford.edu Course title and STARS number: General Safety & Emergency Preparedness EHS-4200-WEB Chemical Safety for Laboratories EHS-1900-WEB Biosafety EHS-1500-WEB Radiation Safety Training EHS-5250 Laser Safety EHS-4820-WEB

  7. SOFTWAREENGINEERING The World Wide Web

    E-Print Network [OSTI]

    Whitehead, James

    SOFTWAREENGINEERING The World Wide Web Distributed Authoring and Versioning working group on the Web. WEBDAV: IETF Standard for Collaborative Authoring on the Web E. JAMES WHITEHEAD, JR. University remains to be done. What if instead you could simply edit Web documents (or any Web resource) in place

  8. A rigorous treatment of a follow-the-leader traffic model with traffic lights present

    SciTech Connect (OSTI)

    Argall, Brenna; Cheleshkin, Eugene; Greenberg, J.M.; Hinde, Colin; Lin, Pei-Jen

    2003-07-16

    Traffic flow on a unidirectional roadway in the presence of traffic lights is modeled. Individual car responses to green, yellow, and red lights are postulated and these result in rules governing the acceleration and deceleration of individual cars. The essence of the model is that only specific cars are directly affected by the lights. The other cars behave according to simple follow-the-leader rules which limit their speed by the spacing between it and the car directly ahead. The model has a number of desirable properties; namely cars do not run red lights, cars do not smash into one another, and cars exhibit no velocity reversals. In a situation with multiple lights operating in-phase we get, after an initial startup period, a constant number of cars through each light during any green-yellow period. Moreover, this flux is less by one or two cars per period than the flux obtained in discretized versions of the idealized Lighthill, Whitham, Richards model which allows for infinite accelerations.

  9. Visualization of Web Spaces

    E-Print Network [OSTI]

    Gousie, Michael B.

    by taking advantage of people's innate perceptual skills to support their cognitive skills. Many paradigms in this field is, and what directions future research and practice can take. For this, we introduce. The almost ubiquitous web is now the platform for a myriad of activities ranging from on-line stock trading

  10. The Dynamical Discrete Web

    E-Print Network [OSTI]

    L. R. G. Fontes; C. M. Newman; K. Ravishankar; E. Schertzer

    2007-04-20

    The dynamical discrete web (DDW), introduced in recent work of Howitt and Warren, is a system of coalescing simple symmetric one-dimensional random walks which evolve in an extra continuous dynamical parameter s. The evolution is by independent updating of the underlying Bernoulli variables indexed by discrete space-time that define the discrete web at any fixed s. In this paper, we study the existence of exceptional (random) values of s where the paths of the web do not behave like usual random walks and the Hausdorff dimension of the set of such exceptional s. Our results are motivated by those about exceptional times for dynamical percolation in high dimension by H\\"aggstrom, Peres and Steif, and in dimension two by Schramm and Steif. The exceptional behavior of the walks in DDW is rather different from the situation for dynamical random walks of Benjamini, H\\"aggstrom, Peres and Steif. In particular, we prove that there are exceptional values of s for which the walk from the origin S^s(n) has limsup S^s(n)/\\sqrt n \\leq K with a nontrivial dependence of the Hausdorff dimension on K. We also discuss how these and other results extend to the dynamical Brownian web, a natural scaling limit of DDW. The scaling limit is the focus of a paper in preparation; it was studied by Howitt and Warren and is related to the Brownian net of Sun and Swart.

  11. MATH DEPT Computer News -- Web

    E-Print Network [OSTI]

    The Web ... How to make your own Home Page (at math.purdue.edu). Harold Boas' incredible list of math resources on the WEB.

  12. Towards an Accessible Web through Semantic Web Standards

    E-Print Network [OSTI]

    Watt, Stephen M.

    1 Towards an Accessible Web through Semantic Web Standards Clare M. So, Mark Perry and Stephen M Abstract-- Making information on the Web accessible to all people, including to those having special needs than actual semantic content that is rendered by alternative technologies. To make the Web more

  13. Efficient Materialization of Dynamic Web Data to Improve Web Performance

    E-Print Network [OSTI]

    Efficient Materialization of Dynamic Web Data to Improve Web Performance Christos Bouras, Agisilaos of performance, response efficiency and data consistency are among the most important ones for data intensive Web a materialization policy that may be applied to data intensive Web sites. Our research relies on the performance

  14. Cleaning Web Pages for Effective Web Content Mining

    E-Print Network [OSTI]

    Ezeife, Christie

    Cleaning Web Pages for Effective Web Content Mining Jing Li and C.I. Ezeife School of Computer://www.cs.uwindsor.ca/cezeife Abstract. Classifying and mining noise-free web pages will improve on accuracy of search results as well as search speed, and may benefit web- page organization applications (e.g., keyword-based search engines

  15. A Framework for Migrating Web Applications to Web Services

    E-Print Network [OSTI]

    Cordy, James R.

    A Framework for Migrating Web Applications to Web Services Asil A. Almonaies, Manar H. Alalfi-automatically migrat- ing monolithic legacy web applications to service oriented architecture (SOA) by separating potentially reusable features as web services. Software design re- covery and source transformation techniques

  16. Towards an Accessible Web through Semantic Web Standards

    E-Print Network [OSTI]

    Perry, Mark

    Towards an Accessible Web through Semantic Web Standards Clare M. So, Mark Perry and Stephen M Abstract-- Making information on the Web accessible to all people, including to those having special needs than actual semantic content that is rendered by alternative technologies. To make the Web more

  17. Intelligent and Adaptive Crawling of Web Applications for Web Archiving

    E-Print Network [OSTI]

    Senellart, Pierre

    Intelligent and Adaptive Crawling of Web Applications for Web Archiving Muhammad Faheem1 and Pierre Kong, Hong Kong firstname.lastname@telecom.paristech.fr Abstract. Web sites are dynamic in nature with content and structure changing overtime. Many pages on the Web are produced by content management systems

  18. 44 WEB ECOLOGY 9, 2009 Web Ecology 9: 4453.

    E-Print Network [OSTI]

    Rey Benayas, José María

    44 WEB ECOLOGY 9, 2009 Web Ecology 9: 44­53. Accepted 13 May 2009 Copyright © EEF ISSN 1399 agricultural landscape on local bird communities. ­ Web Ecol. 9: 44­53. This study assesses whether Alcalá de Henares, Spain. #12;45WEB ECOLOGY 9, 2009 multifunctional systems are common in southern Europe

  19. 74 WEB ECOLOGY 8, 2008 Web Ecology 8: 7483.

    E-Print Network [OSTI]

    Rey Benayas, José María

    74 WEB ECOLOGY 8, 2008 Web Ecology 8: 74­83. Accepted 2 June 2008 Copyright © EEF ISSN 1399 experimental environments. ­ Web Ecol. 8: 74­83. Living organisms respond both to current and previous;75WEB ECOLOGY 8, 2008 previous environments on the future performance. This type of experiments

  20. Web Services Based Architecture in Computational Web Portals

    E-Print Network [OSTI]

    Web Services Based Architecture in Computational Web Portals By Choonhan Youn B.S. The University___________________________________ #12;Abstract Computational web portals provide user environments that simplify access and integrate. The computational web portal, Gateway, consists of a dynamically generated and browser-based user interface

  1. the Web Ontologybased Community Web Portals Steffen Staab

    E-Print Network [OSTI]

    Staab, Steffen

    the Web Ontology­based Community Web Portals Steffen Staab J urgen Angele b , Stefan Decker of World Wide Web virtually everyone a computer contribute high­value information challenge to able information found. Search machines with task, ultimately provide appropriatly struc­ tured views onto web

  2. Web Projections: Learning from Contextual Subgraphs of the Web

    E-Print Network [OSTI]

    Horvitz, Eric

    Web Projections: Learning from Contextual Subgraphs of the Web Jure Leskovec Carnegie Mellon among web pages have been lever- aged as sources of information in methods for ranking search results. To date, specific graphical properties have been used in these analyses. We introduce web projections

  3. Towards the Web of Things: Web Mashups for Embedded Devices

    E-Print Network [OSTI]

    Towards the Web of Things: Web Mashups for Embedded Devices Dominique Guinard Institute custom solutions, thus requires ex- tensive time and technical expertise. Based on the success of Web 2.0 mashup applications, we propose a similar ap- proach for integrating real-world devices to the Web, allow

  4. 120 WEB ECOLOGY 7, 2007 Web Ecology 7: 120131.

    E-Print Network [OSTI]

    Rey Benayas, José María

    120 WEB ECOLOGY 7, 2007 Web Ecology 7: 120­131. Accepted 27 December 2007 Copyright © EEF ISSN 1399 improves early performance of planted seedlings of the Mediterranean shrub Quer- cus coccifera. ­ Web, Spain. #12;121WEB ECOLOGY 7, 2007 have important economic consequences because large amounts of public

  5. The Semantic Web: Collective Intelligence on the Web

    E-Print Network [OSTI]

    Staab, Steffen

    The Semantic Web: Collective Intelligence on the Web Maciej Janik, Ansgar Scherp, and Steffen Staab lastname@uni-koblenz.de Institute for Web Science and Technologies, WeST University of Koblenz-Landau Abstract. The World Wide Web has turned hypertext into a success story by enabling world-wide sharing

  6. Towards a Taxonomy for Web Observatories Web Science Institute

    E-Print Network [OSTI]

    Towards a Taxonomy for Web Observatories Ian Brown Web Science Institute University of Southampton University of Southampton Southampton, SO17 1BJ, UK +44 (0)23 8059 5000 wh@soton.ac.uk Lisa Harris Web.j.harris@soton.ac.uk ABSTRACT In this paper, we propose an initial structure to support a taxonomy for Web Observatories (WO

  7. Web Cube: a Programming Model for Reliable Web Applications

    E-Print Network [OSTI]

    Utrecht, Universiteit

    Web Cube: a Programming Model for Reliable Web Applications I.S.W.B. Prasetya, T.E.J. Vos, S UU-CS-2005-002 www.cs.uu.nl #12;Web Cube: a Programming Model for Reliable Web Applications I@cs.uu.nl, tanja@iti.upv.es, doaitse@cs.uu.nl, bela@cs.ui.ac.id Abstract Web Cube is a server side programming

  8. Traffic Optimization to Control Epidemic Outbreaks in Metapopulation Models

    E-Print Network [OSTI]

    Preciado, Victor M

    2013-01-01

    We propose a novel framework to study viral spreading processes in metapopulation models. Large subpopulations (i.e., cities) are connected via metalinks (i.e., roads) according to a metagraph structure (i.e., the traffic infrastructure). The problem of containing the propagation of an epidemic outbreak in a metapopulation model by controlling the traffic between subpopulations is considered. Controlling the spread of an epidemic outbreak can be written as a spectral condition involving the eigenvalues of a matrix that depends on the network structure and the parameters of the model. Based on this spectral condition, we propose a convex optimization framework to find cost-optimal approaches to traffic control in epidemic outbreaks.

  9. Semantic Web Services Christoph Bussler

    E-Print Network [OSTI]

    Semantic Web Services Christoph Bussler Oracle Corporation The 12th International World Wide Web Conference Budapest, Hungary, May 23rd, 2003 #12;Semantic (Web Services) Christoph Bussler Oracle Corporation(WS) = workflow management ++ S(WS) = [ your current web services prototype ] Ignored experience in a field

  10. Web Interactions A Dissertation Presented

    E-Print Network [OSTI]

    Strickland, Stevie

    Web Interactions A Dissertation Presented by Paul Thorsen Graunke to The College of Computer Thorsen Graunke ALL RIGHTS RESERVED #12; ii Web Interactions by Paul Thorsen Graunke ABSTRACT that exhibit the same exibility as Web dialogues. A foundational model of Web interactions pro- vides

  11. Scaling the Web in Designing

    E-Print Network [OSTI]

    Menascé, Daniel A.

    Scaling the Web Trade-offs in Designing Web Clusters 76 SEPTEMBER · OCTOBER 2002 http://computer.org/internet/ 1089-7801/02/$17.00 ©2002 IEEE IEEE INTERNET COMPUTING H igh-volume Web sites often use clusters approaches to scaling Web clusters: adding more servers of the same type (scaling out, or horizontally

  12. Web Writing (Updated July 2015)

    E-Print Network [OSTI]

    Shutler, Dave

    Web Writing Guide (Updated July 2015) #12;Introduction. 3 Our campus website Top three tips for web trustees Writing Well for the Web. 4 Understand your audience. Make text easy to scan. Cut your content. Write accessible link phrases. Write short headlines. Maintain your web content. This Guide is produced

  13. Welcome to WebAssign!

    E-Print Network [OSTI]

    Larson, Craig E.

    Welcome to WebAssign! #12;How to Self-Enroll in WebAssign #12;Enter and Submit the Class Key #12;Verify Class Informa@on #12;· If you have used Web to WebAssign, follow the instruc@ons on Create A New Account, Enter New Account

  14. On web diagrams Jun Murakami

    E-Print Network [OSTI]

    On web diagrams Jun Murakami Department of Mathematics, Graduate School of Science, Osaka­ tive invariant is defined in the space of web diagrams, and it includes the Casson­ Walker invariant of the mapping class groups. (cf. [9], [10]) 2. Web space 2.1. Web diagram. To explain the universal perturbative

  15. Web Mining for Hyperlinked Communities

    E-Print Network [OSTI]

    Hu, Wen-Chen

    Web Mining for Hyperlinked Communities Gary William Flake flake@research.nj.nec.com NEC Research Institute #12;Motivation for Web Mining More than 1B web pages and 20TB of raw data. Even more content will always be disorganized (or at best self-organized). In the future, everything will be on the web

  16. Methods and systems for detecting abnormal digital traffic

    DOE Patents [OSTI]

    Goranson, Craig A [Kennewick, WA; Burnette, John R [Kennewick, WA

    2011-03-22

    Aspects of the present invention encompass methods and systems for detecting abnormal digital traffic by assigning characterizations of network behaviors according to knowledge nodes and calculating a confidence value based on the characterizations from at least one knowledge node and on weighting factors associated with the knowledge nodes. The knowledge nodes include a characterization model based on prior network information. At least one of the knowledge nodes should not be based on fixed thresholds or signatures. The confidence value includes a quantification of the degree of confidence that the network behaviors constitute abnormal network traffic.

  17. The design of a traffic control system with distributed intelligence 

    E-Print Network [OSTI]

    Tietjen, Donald Louis

    1973-01-01

    the transition from one synchro- n1zat1on scheme to another on the basis of measurements of traffic This thesis fo11 s th ty1 d f t f th ~oot di ~ s of th Istitt ofEIeti I dEI t I ~Ei ~ Ts. at some key points in an arterial network (2). Instead of a traffic.... Mew Time Address RON( ARO~' I ARO"I 2 To Off- line memory From "11nl- comnuter From 0n-line "emory Instruction Register 'Jext Time Address To Lights &i gure S. Two-'1emory System 18 The main limitation of this system design is the cost...

  18. Engineering and policy analysis of strategic and tactical options for future aerospace traffic management

    E-Print Network [OSTI]

    Falker, John M

    2002-01-01

    Current space launch/landing events are conducted only within Special Use Airspace (SUA), separate from air traffic. This is a strategic traffic management policy because SUA size and duration are set well in advance. It ...

  19. An Analysis of the Impact of Reducing Pedestrian-Walking-Speed on Intersection Traffic MOEs 

    E-Print Network [OSTI]

    Li, Xiaohan

    2015-01-26

    Pedestrian traffic is an important element in signalized intersection analysis. As a low-speed traffic component, pedestrians crossing the street may take up time that could be utilized by vehicles on the other street to ...

  20. Congestion-aware traffic routing for large-scale mobile agent systems

    E-Print Network [OSTI]

    Lim, Sejoon

    2012-01-01

    Traffic congestion is a serious world-wide problem. Drivers have little knowledge of historical and real-time traffic congestion for the paths they take and often tend to drive suboptimal routes. Congestion phenomena are ...

  1. Link-State Routing with Hop-by-Hop Forwarding Can Achieve Optimal Traffic Engineering

    E-Print Network [OSTI]

    Chiang, Mung

    -state routing. Keywords: Interior gateway protocol, traffic engineering, rout- ing, OSPF, optimization, network-to-end tunneling. Such simplicity was thought to come at the expense of optimality. In a procedure known as Traffic

  2. Facilitation of visual pattern recognition by extraction of relevant features from microscopic traffic data 

    E-Print Network [OSTI]

    Fields, Matthew James

    2009-05-15

    1985 study by JHK and Associates (traffic research) for the Federal Highway Administration, covers an hour long time period over a quarter mile section and includes nine different identifying features for traffic at any given time. The initial step...

  3. The integration of Automatic Speech Recognition into the Air Traffic Control system

    E-Print Network [OSTI]

    Karlsson Joakim

    1990-01-01

    Today, the Air Traffic Control (ATC) system relies primarily on verbal communication between the air traffic controllers and the pilots of the aircraft in the controlled airspace. Although a computer system exists that ...

  4. MICRO SIMULATION OF CITY TRAFFIC FLOWS IN SUPPORT OF PREDICTIVE OPERATIONAL CONTROL

    E-Print Network [OSTI]

    Bargiela, Andrzej

    of the modelling process and the prediction model. Several types of traffic models have been used with demand- responsive traffic control systems. In parallel with the development of new control systems, there have been

  5. PARALEL SIMULATION OF CITY TRAFFIC FLOWS USING "PADSIM" (Probabilistic ADaptive SImulation Model)

    E-Print Network [OSTI]

    Bargiela, Andrzej

    of the modelling process and the prediction model. Several types of traffic models have been used with demand- responsive traffic control systems. In parallel with the development of new control systems, there have been

  6. Utilizing Correlations to Compress Time-Series in Traffic Monitoring Sensor Networks

    E-Print Network [OSTI]

    Martin, Ralph R.

    at £20bn. In urban areas, transport is the major source of carbon dioxide emissions, and traffic Cambridge testbed (Figure 1) and the spatio- temporal properties of a real traffic dataset. Section III

  7. Creating a Systems Engineering Approach for the Manual on Uniform Traffic Control Devices 

    E-Print Network [OSTI]

    McNeal, Heather

    2010-07-14

    The Manual on Uniform Traffic Control Devices (MUTCD) establishes the basic principles for the design, selection, installation, operation, maintenance, and removal of traffic control devices (TCDs). The MUTCD indicates ...

  8. Road traffic noise modifies behaviour of a keystone species Graeme Shannon a, *

    E-Print Network [OSTI]

    Angeloni, Lisa

    Road traffic noise modifies behaviour of a keystone species Graeme Shannon a, * , Lisa M. Angeloni the influence of traffic noise on foraging and vigilance in a keystone species in North American prairie systems

  9. FAQS Qualification Card - Transportation and Traffic Management |

    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 GasAdjustments (BillionProvedTravel TravelChallengesOhio2014:Mexico| Department ofand Review ofOccupational

  10. Air Traffic Operations | GE Global Research

    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 Traditional KnowledgeAgenda Agenda NERSC UserAgustin Mihi andAir Leaks»

  11. Hanford Safety Traffic Improvements - Hanford Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFESOpportunitiesNERSCGrid-based29Hai Ahof 2009video Hanford

  12. HANFORD SITE VEHICLE TRAFFIC SAFETY 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 WebQuantityBonneville Power Administration would likeUniverse (Journalvivo Low-Dose Lowï‚— WeUpdate JonGuided65Bob Parks BobPFP2013

  13. Hanford Traffic Safety FAQs - Hanford Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journalvivo Low-Dose Lowï‚—34OctoberK West60 Revision 12.iB - PPRPF -G

  14. solenoid_web.DVI

    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 SolarAboutXu Named|Got Solitons?scriptEnv - loadingITMsoftware NETLa

  15. TF Web Based Training

    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 Production 1:PhysicsSyndicated Contentwo2

  16. the World Wide Web

    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 MunicipalTechnicalInformation4563 LLNL Small-scale Friction Sensitivityv b, iNOTICE OF OPENUJC

  17. the World Wide Web

    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 MunicipalTechnicalInformation4563 LLNL Small-scale Friction Sensitivityv b, iNOTICE OF OPENUJCan

  18. Web Browser Interface (WBUI)

    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 AProject AssessmentWe theBrowser Interface (WBUI)

  19. Web Service Interface (API)

    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 AProject AssessmentWe theBrowser

  20. LCLS AMO web page

    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 likeUniverseIMPACTThousand CubicResource and Job EventpopLA349226762Contributions to

  1. web_comments.xls

    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 About1996HowFOAShowingFuelWeatherizeeEnergyMonumentWestSUMMARY REPORTWASTEDate Rec

  2. NERSC web pages

    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 usesof Energy Moving Basic NERSC Training at SC11NERSC in the

  3. SSRL Web Requests

    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) byMultidayAlumni > The2/01/12 Page 1NEWSSupport Request To use this

  4. MIDC: Web Site Search

    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 likeUniverseIMPACTThousandReport) | SciTech ConnectFuture3,LastMICKEY

  5. Boise Air Traffic Control Tower: High Performance and sustainable Building Guiding Principles Technical Assistance

    SciTech Connect (OSTI)

    Fowler, Kimberly M.; Goel, Supriya; Henderson, Jordan W.

    2013-09-01

    Overview of energy efficiency opportunities for new FAA tower construction using the Boise Air Traffic Control Tower as an example.

  6. Air traffic complexity and the interacting particle system method: An integrated approach for collision risk estimation

    E-Print Network [OSTI]

    Del Moral , Pierre

    Air traffic complexity and the interacting particle system method: An integrated approach explore the possibility of using air traffic complexity metrics to accelerate the Interacting Particle to assess the performance and impact of, e.g., possible modifications of the current air traffic management

  7. On the Convergence of Statistical Techniques for Inferring Network Traffic Demands

    E-Print Network [OSTI]

    On the Convergence of Statistical Techniques for Inferring Network Traffic Demands Alberto Medina 1 knowledge of traffic demands in a communication net­ work enables or enhances a variety of traffic measuring a complete set of these demands is prohibitively expensive because of the huge amounts of data

  8. Automatic Model Classification of Measured Internet Traffic Yi Zeng and Thomas M. Chen

    E-Print Network [OSTI]

    Chen, Thomas M.

    issues for future work. II. MODEL-LIBRARY TRAFFIC CLASSIFICATION Many traffic models have been developed Model 2 module ... Model library Fig. 1. General model classification system In the general case with NAutomatic Model Classification of Measured Internet Traffic Yi Zeng and Thomas M. Chen Department

  9. Integration of an Aggregate Flow Model with a Traffic Flow Simulator

    E-Print Network [OSTI]

    Integration of an Aggregate Flow Model with a Traffic Flow Simulator Robert Hoffman , Dengfeng Sun restrictions to aircraft movement are applied by air traffic controllers and traffic managers in response to demand overages or capacity shortfalls in sectors of airspace. To estimate and assess the efficiency

  10. Coupling traffic models on networks and urban dispersion models for simulating sustainable

    E-Print Network [OSTI]

    Ceragioli, Francesca

    models for modeling and testing different traffic scenarios, in order to define the impact on air quality it with the urban dispersion model Sirane. Keywords: urban air quality, macroscopic traffic models, road networks, pollutant dispersion models, traffic emissions control. AMS subject classification: 35L65, 35L67, 60K30, 90B

  11. Review of Urban Bicyclists' Intake and Uptake of Traffic-Related Air Pollution

    E-Print Network [OSTI]

    Bertini, Robert L.

    Review of Urban Bicyclists' Intake and Uptake of Traffic-Related Air Pollution ALEXANDER Y. BIGAZZI- clists may experience increased inhalation of traffic-related air pollutants. Bicyclists have two to five regarding urban bicyclists' intake and uptake of traffic-related air pollution and to identify key knowledge

  12. Review of Urban Bicyclists' Intake and Uptake of Traffic-Related Air Pollution

    E-Print Network [OSTI]

    Bertini, Robert L.

    1 Review of Urban Bicyclists' Intake and Uptake of Traffic-Related Air Pollution Alexander Y of Traffic-Related Air Pollution Abstract Bicycling as a mode of transportation is enjoying a boost in many while bicycling, bicyclists may experience increased inhalation of traffic-related air pollutants

  13. Topographically-Based Real-Time Traffic Anomaly Detection in a Metropolitan Highway System

    E-Print Network [OSTI]

    Grossman, Robert

    Topographically-Based Real-Time Traffic Anomaly Detection in a Metropolitan Highway System Rajmonda metropolitan area. Our Chicago Alert System (CAS) considers both the spatial and temporal aspects of the data of attack, the need for real-time traffic management is crucial. Real-time traffic management encompasses

  14. Gasoline price effects on traffic safety in urban and rural areas: Evidence from Minnesota, 19982007

    E-Print Network [OSTI]

    Levinson, David M.

    Gasoline price effects on traffic safety in urban and rural areas: Evidence from Minnesota, 1998 February 2012 Received in revised form 3 May 2013 Accepted 24 May 2013 Keywords: Gasoline prices Traffic examines the role of gasoline prices in the occurrence of traffic crashes. However, no studies have

  15. The Case for Fine-Grained Traffic Engineering in Data Centers Theophilus Benson

    E-Print Network [OSTI]

    Liblit, Ben

    Computer Sciences Department The Case for Fine-Grained Traffic Engineering in Data Centers-Grained Traffic Engineering in Data Centers Theophilus Benson , Aditya Akella and Ming Zhang University of Wisconsin-Madison; Microsoft Research Abstract Data center traffic characteristics are not well under

  16. MicroTE: Fine Grained Traffic Engineering for Data Centers Theophilus Benson

    E-Print Network [OSTI]

    Akella, Aditya

    MicroTE: Fine Grained Traffic Engineering for Data Centers Theophilus Benson , Ashok Anand , Aditya center traffic characteristics on data cen- ter traffic engineering is not well understood. In particu on the network making it appro- priate for current and future data centers. Categories and Subject Descriptors C

  17. Towards Robust Multi-layer Traffic Engineering: Optimization of Congestion Control and Routing

    E-Print Network [OSTI]

    Singh, Jaswinder Pal

    Towards Robust Multi-layer Traffic Engineering: Optimization of Congestion Control and Routing. Keywords: Congestion control, Traffic Engineering, Network util- ity maximization, Optimization, Robustness, in a process known as traffic engineering. TCP congestion control assumes that the network paths do not change

  18. Improvement of the Road Traffic Management by an Ant-Hierarchical Fuzzy System

    E-Print Network [OSTI]

    Casillas Barranquero, Jorge

    of the road network capacity [3], the improvement of the traffic safety, the minimization of the energyImprovement of the Road Traffic Management by an Ant-Hierarchical Fuzzy System Habib M. Kammoun@decsai.ugr.es Abstract--In view of dynamicity on road networks and the sharp increase of traffic jam states, the road

  19. Forecasting Spatiotemporal Impact of Traffic Incidents on Road Networks Bei Pan, Ugur Demiryurek, Cyrus Shahabi

    E-Print Network [OSTI]

    Shahabi, Cyrus

    Forecasting Spatiotemporal Impact of Traffic Incidents on Road Networks Bei Pan, Ugur Demiryurek and quantifying the impact of traffic incidents. Traffic incidents include any non-recurring events on road networks, including accidents, weather hazard, road construction or work zone closures. By analyzing

  20. Nericell: Rich Monitoring of Road and Traffic Conditions using Mobile Smartphones

    E-Print Network [OSTI]

    Rajamani, Sriram K.

    Nericell: Rich Monitoring of Road and Traffic Conditions using Mobile Smartphones Prashanth Mohan@microsoft.com Microsoft Research India, Bangalore ABSTRACT We consider the problem of monitoring road and traffic con to be much more com- plex owing to varied road conditions (e.g., potholed roads), chaotic traffic (e