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  1. India-Low Carbon Asia Research Network (LoCARNet) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429Dialogue, AdvisoryinAsia

  2. Brunei-Low Carbon Asia Research Network (LoCARNet) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar Energy LLC JumpBiossence JumpJerseyEconomyBridgerNationalInformation

  3. Cambodia-Low Carbon Asia Research Network (LoCARNet) | Open Energy

    Open Energy Info (EERE)

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  4. China-Low Carbon Asia Research Network (LoCARNet) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar Energy LLCLtd Jump to:ChangingCNE Jump to:New EnergyPFAN)Energyin

  5. Myanmar-Low Carbon Asia Research Network (LoCARNet) | Open Energy

    Open Energy Info (EERE)

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

  6. Japan-Low Carbon Asia Research Network (LoCARNet) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar2-0057-EAInvervar Hydro Jump to: navigation,JumpIAEA EnergyOxyNortheast Asia

  7. Singapore-Low Carbon Asia Research Network (LoCARNet) | Open Energy

    Open Energy Info (EERE)

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  8. Thailand-Low Carbon Asia Research Network (LoCARNet) | Open Energy

    Open Energy Info (EERE)

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  9. Vietnam-Low Carbon Asia Research Network (LoCARNet) | Open Energy

    Open Energy Info (EERE)

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

  10. Indonesia-Low Carbon Asia Research Network (LoCARNet) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam:on Openei |sourceAnd Central Mississippi

  11. Laos-Low Carbon Asia Research Network (LoCARNet) | Open Energy Information

    Open Energy Info (EERE)

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  12. Malaysia-Low Carbon Asia Research Network (LoCARNet) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource HistoryScenarios Towards 2050EnermarGenerationMainsaInformation Carbon Asia

  13. Philippines-Low Carbon Asia Research Network (LoCARNet) | Open Energy

    Open Energy Info (EERE)

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

  14. Networking and Security Research Center

    E-Print Network [OSTI]

    Smith, Adam D.

    ]. The increased network connectivity and standardization of Super- visory Control and Data Acquisition (SCADA and SCADA devices can be found through the Shodan search engine [1, 14]. An adversary with PLC access can

  15. Social networks and research output

    E-Print Network [OSTI]

    Ductor, Lorenzo; Fafchamps, Marcel; Goyal, Sanjeev; van der Leij, Marco J.

    2013-11-12

    and Scheinkman (2002). In recent years, interest has shifted to the ways by which the architecture of social networks influences behavior and outcomes.2 Recent empirical papers on network effects include Bramoulle´, Djebbari and Fortin (2009), Calvo... the length of papers and the duration of the review process in economics, it is reasonable to suppose that collabora- tion entails communication over an extended period of time. These considerations – personal interaction and sustained communication – in turn...

  16. Biological and Environmental Research Network Requirements

    SciTech Connect (OSTI)

    Balaji, V.; Boden, Tom; Cowley, Dave; Dart, Eli; Dattoria, Vince; Desai, Narayan; Egan, Rob; Foster, Ian; Goldstone, Robin; Gregurick, Susan; Houghton, John; Izaurralde, Cesar; Johnston, Bill; Joseph, Renu; Kleese-van Dam, Kerstin; Lipton, Mary; Monga, Inder; Pritchard, Matt; Rotman, Lauren; Strand, Gary; Stuart, Cory; Tatusova, Tatiana; Tierney, Brian; Thomas, Brian; Williams, Dean N.; Zurawski, Jason

    2013-09-01

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy (DOE) Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of SC programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet be a highly successful enabler of scientific discovery for over 25 years. In November 2012, ESnet and the Office of Biological and Environmental Research (BER) of the DOE SC organized a review to characterize the networking requirements of the programs funded by the BER program office. Several key findings resulted from the review. Among them: 1) The scale of data sets available to science collaborations continues to increase exponentially. This has broad impact, both on the network and on the computational and storage systems connected to the network. 2) Many science collaborations require assistance to cope with the systems and network engineering challenges inherent in managing the rapid growth in data scale. 3) Several science domains operate distributed facilities that rely on high-performance networking for success. Key examples illustrated in this report include the Earth System Grid Federation (ESGF) and the Systems Biology Knowledgebase (KBase). This report expands on these points, and addresses others as well. The report contains a findings section as well as the text of the case studies discussed at the review.

  17. Advanced Scientific Computing Research Network Requirements

    SciTech Connect (OSTI)

    Bacon, Charles; Bell, Greg; Canon, Shane; Dart, Eli; Dattoria, Vince; Goodwin, Dave; Lee, Jason; Hicks, Susan; Holohan, Ed; Klasky, Scott; Lauzon, Carolyn; Rogers, Jim; Shipman, Galen; Skinner, David; Tierney, Brian

    2013-03-08

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy (DOE) Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of SC programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 25 years. In October 2012, ESnet and the Office of Advanced Scientific Computing Research (ASCR) of the DOE SC organized a review to characterize the networking requirements of the programs funded by the ASCR program office. The requirements identified at the review are summarized in the Findings section, and are described in more detail in the body of the report.

  18. The Food Allergy Research Network represen a network of clinicians and investigators focused on

    E-Print Network [OSTI]

    Chisholm, Rex L.

    The Food Allergy Research Network represen a network of clinicians and investigators focused on understanding and findings better ways to treat foo allergic diseases. ! Food Allergy Research Consortium INNOVATION ENGINES AT NORTHWESTERN MEDICINE FOOD ALLERGY RESEARCH CONSORTIUM #12;THE INSTITUTES

  19. Global Network Camera Industry 2015 Market Research Report |...

    Open Energy Info (EERE)

    Global Network Camera Industry 2015 Market Research Report Home There are currently no posts in this category. Syndicate content...

  20. Datacenter-Scale Network Research on FPGAs Zhangxi Tan

    E-Print Network [OSTI]

    Asanovi?, Krste

    Datacenter-Scale Network Research on FPGAs Zhangxi Tan Computer Science Division UC Berkeley, CA an FPGA-based datacenter network simulator to allow researchers to rapidly experiment with O(10, 000) node datacenter network architectures. We configure the FPGA hardware to implement abstract models of key dat

  1. Research and Implementation of Computer Simulation System for Neural Networks

    E-Print Network [OSTI]

    Byrne, John H.

    Research and Implementation of Computer Simulation System for Neural Networks Chen, Houjin Yuan: The ability of a neural network to process information and to generate a specific pattern of electrical computer simulation system for neural networks was designed and implemented including system architecture

  2. Research internship Petri net unfolding of biological networks

    E-Print Network [OSTI]

    Doyen, Laurent

    Research internship Petri net unfolding of biological networks Topic: Logic and Verification be modeled as automata networks or Petri nets. It results in concurrent models involved hundreds or thousands for computing dynamical properties on discrete models of biological networks. Petri net unfoldings exploit

  3. Biological and Environmental Research Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2014-01-01

    Conference on High Performance Computing, Networking,capabilities of high-performance computing facilities andwith an emphasis on high- performance computing facilities.

  4. Research Focus An Australian network to support the understanding

    E-Print Network [OSTI]

    McFadden, Geoff

    Research Focus An Australian network to support the understanding and control of parasites Nicholas and Immunology, Queensland Institute of Medical Research, 300 Herston Road, Brisbane, Queensland 4006, Australia, Melbourne, Victoria 3010, Australia The Australian Research Council (ARC) and the National Health

  5. An Evaluation of Sensing Platforms Used for Sensor Network Research

    E-Print Network [OSTI]

    Kansas, University of

    An Evaluation of Sensing Platforms Used for Sensor Network Research Daniel T. Fokum, Dr. Victor S to complex sensor nodes; which include fully configured computers. Several of these platforms were evaluated ................................................................................................................. 2 3 Evaluation of Sensor Platforms

  6. Networking and Information Technology Research and Development...

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

    Technology Research and Development (NITRD) Program, as required by the High-Performance Computing Act of 1991 (P.L. 102-194), the Next Generation Internet Research Act of...

  7. Logistical Networking Research and the Network Storage Stack James S. Plank Micah Beck Terry Moore

    E-Print Network [OSTI]

    Plank, Jim

    Logistical Networking Research and the Network Storage Stack James S. Plank Micah Beck Terry Moore Logistical Computing and Internetworking Lab Department of Computer Science, University of Tennessee years, the Logistical Computing and Iinternetworking (LoCI) project at the University of Tennessee has

  8. The Mind Research Network - Mental Illness Neuroscience Discovery Grant

    SciTech Connect (OSTI)

    Roberts, J.; Calhoun, V.

    2013-12-17

    The scientific and technological programs of the Mind Research Network (MRN), reflect DOE missions in basic science and associated instrumentation, computational modeling, and experimental techniques. MRN's technical goals over the course of this project have been to develop and apply integrated, multi-modality functional imaging techniques derived from a decade of DOE-support research and technology development.

  9. Networking and Information Technology Research and Development...

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

    by the High-Performance Computing Act of 1991 (P.L. 102-194), the Next Generation Internet Research Act of 1998 (P.L. 105-305), and the America COMPETES Act of 2007 (P.L....

  10. Enabling collaborative research using the Biomedical Informatics Research Network (BIRN)

    E-Print Network [OSTI]

    Helmer, Karl G.

    Objective As biomedical technology becomes increasingly sophisticated, researchers can probe ever more subtle effects with the added requirement that the investigation of small effects often requires the acquisition of ...

  11. AmeriFlux Measurement Network: Science Team Research

    SciTech Connect (OSTI)

    Law, B E

    2012-12-12

    Research involves analysis and field direction of AmeriFlux operations, and the PI provides scientific leadership of the AmeriFlux network. Activities include the coordination and quality assurance of measurements across AmeriFlux network sites, synthesis of results across the network, organizing and supporting the annual Science Team Meeting, and communicating AmeriFlux results to the scientific community and other users. Objectives of measurement research include (i) coordination of flux and biometric measurement protocols (ii) timely data delivery to the Carbon Dioxide Information and Analysis Center (CDIAC); and (iii) assurance of data quality of flux and ecosystem measurements contributed by AmeriFlux sites. Objectives of integration and synthesis activities include (i) integration of site data into network-wide synthesis products; and (ii) participation in the analysis, modeling and interpretation of network data products. Communications objectives include (i) organizing an annual meeting of AmeriFlux investigators for reporting annual flux measurements and exchanging scientific information on ecosystem carbon budgets; (ii) developing focused topics for analysis and publication; and (iii) developing data reporting protocols in support of AmeriFlux network goals.

  12. Ins$tute(of(Networking(and(( Security(Research

    E-Print Network [OSTI]

    Jaeger, Trent

    I N S R Ins$tute(of(Networking(and(( Security(Research Technical)Report NAS-TR-0168-2014 Cloud-XXXXX-XX-X/XX/XX ...$15.00. Keywords cloud computing, security, trust 1. INTRODUCTION One problem facing cloud computingArmor : Protecting Cloud Instances by Validating Client Commands Yuqiong Sun, Giuseppe Petracca, Hayawardh

  13. Operations Research and the Captivating Study of Networks

    E-Print Network [OSTI]

    Nagurney, Anna

    Paradox and Evolutionary Variational Inequalities · A New Network Performance/Efficiency Measure Networks Duke Energy Gas Pipeline Network Transportation, Communication, and Energy Networks #12;Components of Networks · The Transportation Network Equilibriumn Problem and Methodological Tools · The Braess Paradox

  14. ODU Sensor Network Research Group 11 Information assuranceInformation assurance

    E-Print Network [OSTI]

    Goddard, Wayne

    network (WSN)Wireless sensor network (WSN) Massive number of sensors densely deployed in the area Network Research Group 1111 Our view of a WSN system sensorssensors local sink nodelocal sink node (in

  15. Operations Research and the Captivating Study of Networks

    E-Print Network [OSTI]

    Nagurney, Anna

    Variational Inequalities · A New Network Performance/Efficiency Measure with Applications to Critical Networks Duke Energy Gas Pipeline Network Transportation, Communication, and Energy Networks #12;Components · The Transportation Network Equilibriumn Problem and Methodological Tools · The Braess Paradox · Some Interesting

  16. national-lab-research-network | netl.doe.gov

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26th AnnualHistoryMIII:National Laboratory Research Network The

  17. Digital Music Research UK Roadmap www.dmrn.org/roadmap Developed by the Digital Music Research Network 1

    E-Print Network [OSTI]

    Miranda, Eduardo Reck

    Digital Music Research ­ UK Roadmap www.dmrn.org/roadmap Developed by the Digital Music Research Network 1 Research Goals in Digital Music: A Ten Year View Music Exploitation and Distribution Recent advances in Digital Music Research point to many new and enhanced ways that music will be stored

  18. Digital Music Research UK Roadmap www.dmrn.org/roadmap Developed by the Digital Music Research Network 1

    E-Print Network [OSTI]

    Miranda, Eduardo Reck

    Digital Music Research ­ UK Roadmap www.dmrn.org/roadmap Developed by the Digital Music Research ­ UK Roadmap www.dmrn.org/roadmap Developed by the Digital Music Research Network 2 includes weightings are. Neither is it #12;Digital Music Research ­ UK Roadmap www.dmrn.org/roadmap Developed

  19. Function Biomedical Informatics Research Network Recommendations for Prospective Multi-Center Functional Magnetic Resonance Imaging Studies

    E-Print Network [OSTI]

    2012-01-01

    10.1002/jmri.23572. Function Biomedical Informatics Researchstudy performed by Biomedical Informatics Research Network.of information in distributed biomedical collaboratories.

  20. FIELD EXPERIMENTATION OF COTS-BASED UAV NETWORKING Air Force Research Laboratory

    E-Print Network [OSTI]

    Kung, H. T.

    1 of 7 FIELD EXPERIMENTATION OF COTS-BASED UAV NETWORKING Dan Hague Air Force Research Laboratory Vehicles (UAVs). This new capability has inspired many novel application ideas in UAV networking. We argue that field experimentation of UAV networking is essential in collecting link meas- urement data, developing

  1. Digital Music Research UK Roadmap www.dmrn.org/roadmap Developed by the Digital Music Research Network 1

    E-Print Network [OSTI]

    Miranda, Eduardo Reck

    Digital Music Research ­ UK Roadmap www.dmrn.org/roadmap Developed by the Digital Music Research Network 1 Research Goals in Digital Music: A Ten Year View High-Level Parametric Control A number of a sound. Normally, an equalizer is used to modify the auditory quality of the music; for example

  2. Digital Music Research UK Roadmap www.dmrn.org/roadmap Developed by the Digital Music Research Network 1

    E-Print Network [OSTI]

    Miranda, Eduardo Reck

    Digital Music Research ­ UK Roadmap www.dmrn.org/roadmap Developed by the Digital Music Research Network 1 Research Goals in Digital Music: A Ten Year View Musical Innovation Music created using computer digital music tools through the widespread dissemination of computing and portable computing technology

  3. Cases of Research and Education Network (REN) Initiatives: BDREN and A New Era in Bangladesh

    E-Print Network [OSTI]

    Khan, Javed I.

    Cases of Research and Education Network (REN) Initiatives: BDREN and A New Era in Bangladesh Higher Education Cases of Research and Education Network (REN) Initiatives: BDREN and A New Era in Bangladesh Conf. on Computer and Information Technology, ICCIT 2008 Khulna, Bangladesh, December 27th, 2008 REN

  4. Architecture of the Multi-Modal Organizational Research and Production Heterogeneous Network (MORPHnet)

    SciTech Connect (OSTI)

    Aiken, R.J.; Carlson, R.A.; Foster, I.T. [and others

    1997-01-01

    The research and education (R&E) community requires persistent and scaleable network infrastructure to concurrently support production and research applications as well as network research. In the past, the R&E community has relied on supporting parallel network and end-node infrastructures, which can be very expensive and inefficient for network service managers and application programmers. The grand challenge in networking is to provide support for multiple, concurrent, multi-layer views of the network for the applications and the network researchers, and to satisfy the sometimes conflicting requirements of both while ensuring one type of traffic does not adversely affect the other. Internet and telecommunications service providers will also benefit from a multi-modal infrastructure, which can provide smoother transitions to new technologies and allow for testing of these technologies with real user traffic while they are still in the pre-production mode. The authors proposed approach requires the use of as much of the same network and end system infrastructure as possible to reduce the costs needed to support both classes of activities (i.e., production and research). Breaking the infrastructure into segments and objects (e.g., routers, switches, multiplexors, circuits, paths, etc.) gives the capability to dynamically construct and configure the virtual active networks to address these requirements. These capabilities must be supported at the campus, regional, and wide-area network levels to allow for collaboration by geographically dispersed groups. The Multi-Modal Organizational Research and Production Heterogeneous Network (MORPHnet) described in this report is an initial architecture and framework designed to identify and support the capabilities needed for the proposed combined infrastructure and to address related research issues.

  5. Airblue : a highly-configurable FPGA-based platform for wireless network research

    E-Print Network [OSTI]

    Ng, Man Cheuk, 1980-

    2011-01-01

    Over the past few years, researchers have developed many cross-layer wireless protocols to improve the performance of wireless networks. Experimental evaluations of these protocols require both high-speed simulations and ...

  6. Underwater Sensor Networking: Research Challenges and Potential Applications

    E-Print Network [OSTI]

    Heidemann, John

    Corporation, and by CiSoft (Center for Interactive Smart Oilfield Technologies), a Center of Research

  7. Edinburgh Research Explorer Analysis of the transcriptional networks underpinning the

    E-Print Network [OSTI]

    MacDonald, Andrew

    of murine macrophages by inflammatory mediators Citation for published version: Raza, S, Barnett, MW, Barnett-Itzhaki, Z, Amit, I, Hume, DA & Freeman, TC 2014, 'Analysis of the transcriptional networks macrophages by inflammatory mediators Sobia Raza,* Mark W. Barnett,* Zohar Barnett-Itzhaki, Ido Amit, David A

  8. Student Research Project Layer 2 network interface for Mono

    E-Print Network [OSTI]

    3.2 Functionality of the C# library . . . . . . . . . . . . . . . . . 9 3.2.1 public class procle . . . . . . . . . . . . . . . . . . . . . . . . . 6 3 User space internals 8 3.1 Functionality of the C library: . . . . . . . . . . . . . . . . . . 8;Abstract The design and functionality of a layer 2 network interface that originated within the scope

  9. A State-Wide Research Network for Alzheimer's Disease

    SciTech Connect (OSTI)

    Mintzer, Jacobo E.; Bachman, D. L.; Stuckey, M.; Ebeling, M.; Wagner, M. T.; Evans, W. J.; Hirth, V.; Walker, A.; Joglekar, R.; Faison, W.

    2014-03-13

    The Specific Aim of the proposal was to develop an administrative structure that will facilitate the development of AD research across the state of SC by providing key services such as (but not limited to) seeking funding research opportunities, financial tracking, regulatory management, central recruitment, training for investigators and coordinators, data collection, data storing, and data processing to researchers across the state.

  10. An Experimentation Workbench for Replayable Networking Research Eric Eide Leigh Stoller Jay Lepreau

    E-Print Network [OSTI]

    Utah, University of

    have an increasing need for "replayable" research, but our current experimentation resources fall short, there is an increasing awareness of the benefits of re- peated research [6, 18]. A scientific community advances when its is increasingly being served by a variety of network testbeds: environments designed to provide resources

  11. WSNs Research Software Experiments Wireless Sensors Networks and Environmental Monitoring

    E-Print Network [OSTI]

    Schenato, Luca

    (batteria); sensoristica varia (temperatura, umidità, pressione, CO2, ...). 5 / 40 #12;WSNs Research fattispecie si evidenziano: la localizzazione e l'autolocalizzazione (ambienti indoor o a rischio); gli

  12. Improving the efficiency of research and development using belief networks

    E-Print Network [OSTI]

    Yost, Keith A

    2009-01-01

    Within the past thirty years, the U.S. government has spent over three trillion dollars supporting research and development projects across its various federal agencies. There is a considerable, long-standing need to ...

  13. A Survey of Green Networking Research Aruna Prem Bianzino, Claude Chaudet, Dario Rossi, Jean-Louis Rougier

    E-Print Network [OSTI]

    Rougier, Jean-Louis

    environmental impact. These issues, usually referred to as "green networking", relate to embedding energy of green networking research that stem from different observations on the root causes of energy waste to reducing unnecessary energy expenditure, which is usually nicknamed as a greening of the networking

  14. The Ad Lucem Research Network | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCEDInstallers/ContractorsPhotovoltaics »TanklessResearchEnergy2 DOE Hydrogen12The Ad Lucem

  15. Transworld Research Network 37/661 (2), Fort P.O., Trivandrum-695 023, Kerala, India

    E-Print Network [OSTI]

    Movileanu, Liviu

    Transworld Research Network 37/661 (2), Fort P.O., Trivandrum-695 023, Kerala, India Recent Res. Devel. Biophys., 3(2004): 61-86 ISBN: 81-7895-130-4 4 The birth, life and death of statistical pores

  16. Transworld Research Network 37/661 (2), Fort P.O., Trivandrum-695 023, Kerala, India

    E-Print Network [OSTI]

    Kaiser, Ralf I.

    Transworld Research Network 37/661 (2), Fort P.O., Trivandrum-695 023, Kerala, India Gas Phase sequential addition steps of ground-state atomic carbon, carbon molecules (C2 and C3) and small hydrocarbon of aromatic fuels. Thus, understanding of the C2 reactions with unsaturated hydrocarbons should be helpful

  17. Network-based collaborative research environment LDRD final report

    SciTech Connect (OSTI)

    Davies, B.R.; McDonald, M.J.

    1997-09-01

    The Virtual Collaborative Environment (VCE) and Distributed Collaborative Workbench (DCW) are new technologies that make it possible for diverse users to synthesize and share mechatronic, sensor, and information resources. Using these technologies, university researchers, manufacturers, design firms, and others can directly access and reconfigure systems located throughout the world. The architecture for implementing VCE and DCW has been developed based on the proposed National Information Infrastructure or Information Highway and a tool kit of Sandia-developed software. Further enhancements to the VCE and DCW technologies will facilitate access to other mechatronic resources. This report describes characteristics of VCE and DCW and also includes background information about the evolution of these technologies.

  18. Online Social Network Analysis: A Survey of Research Applications in Computer Science

    E-Print Network [OSTI]

    Kurka, David Burth; Von Zuben, Fernando J

    2015-01-01

    The emergence and popularization of online social networks suddenly made available a large amount of data from social organization, interaction and human behaviour. All this information opens new perspectives and challenges to the study of social systems, being of interest to many fields. Although most online social networks are recent (less than fifteen years old), a vast amount of scientific papers was already published on this topic, dealing with a broad range of analytical methods and applications. This work describes how computational researches have approached this subject and the methods used to analyse such systems. Founded on a wide though non-exaustive review of the literature, a taxonomy is proposed to classify and describe different categories of research. Each research category is described and the main works, discoveries and perspectives are highlighted.

  19. GEOPHYSICAL RESEARCH LETTERS, VOL. 27, NO. 22, PAGES 2615-3618, NOVEMBER 15, 2000 Geodetic network optimization for geophysical parameters

    E-Print Network [OSTI]

    Tingley, Joseph V.

    GEOPHYSICAL RESEARCH LETTERS, VOL. 27, NO. 22, PAGES 2615-3618, NOVEMBER 15, 2000 3615 Geodetic network optimization for geophysical parameters Geoffrey Blewitt Nevada Bureau of Mines and Geology is gener- alized here, to seek the network configuration that optimizes the precision of geophysical

  20. Secure Military Social Networking and Rapid Sensemaking in Domain Specific Concept Systems: Research Issues and Future Solutions

    E-Print Network [OSTI]

    Garside, Debbie

    This paper identifies the need for a secure military social networking site and the underlying research issues linked to the successful development of such sites. The paper further proposes a solution to the most basic ...

  1. A Survey of Link Recommendation for Social Networks: Methods, Theoretical Foundations, and Future Research Directions

    E-Print Network [OSTI]

    Li, Zhepeng; Sheng, Olivia

    2015-01-01

    Link recommendation has attracted significant attentions from both industry practitioners and academic researchers. In industry, link recommendation has become a standard and most important feature in online social networks, prominent examples of which include "People You May Know" on LinkedIn and "You May Know" on Google+. In academia, link recommendation has been and remains a highly active research area. This paper surveys state-of-the-art link recommendation methods, which can be broadly categorized into learning-based methods and proximity-based methods. We further identify social and economic theories, such as social interaction theory, that underlie these methods and explain from a theoretical perspective why a link recommendation method works. Finally, we propose to extend link recommendation research in several directions that include utility-based link recommendation, diversity of link recommendation, link recommendation from incomplete data, and experimental study of link recommendation.

  2. Johnson & Johnson Pharmaceutical Research & Development L.L.C., a member of Johnson and Johnson's family of companies, is recruiting for a Principal Research Scientist for Network

    E-Print Network [OSTI]

    Dalkilic, Mehmet

    's family of companies, is recruiting for a Principal Research Scientist for Network Pharmacology, located in Radnor, PA. Centocor, Inc., is a fully integrated biopharmaceutical and biotechnology company. As a world coronary intervention. Next- generation products are on the horizon and look to continue the company

  3. Evalutation and network of ec-decision support systems in the field of hydrological dispension models and of aquatic radioecological research Assessment of environmental models anf software

    E-Print Network [OSTI]

    Monte, L; Hofman, Dimitry

    2005-01-01

    Evalutation and network of ec-decision support systems in the field of hydrological dispension models and of aquatic radioecological research

  4. PLEASE SCROLL DOWN FOR ARTICLE This article was downloaded by: [Lawford, Mark][Canadian Research Knowledge Network

    E-Print Network [OSTI]

    Lawford, Mark

    , there is a mutual dependence between the engineering discipline and its basic science foundation. Engineering uses research from the basic sciences to develop engineering approaches, methods, heuristics and standards Knowledge Network] On: 2 November 2010 Access details: Access Details: [subscription number 918588849

  5. Research on a Heat-supply Network Dispatching System Based on Geographical Information System (GIS) 

    E-Print Network [OSTI]

    Zhou, Z.; Zou, P.; Tang, H.; Fang, X.; Wang, W.

    2006-01-01

    -supply Network Dispatching System (HNDS). The system, based on Oracle database and Mapgis 6.5, compiles with Visual C++ software. With computer and communication techniques, the system dynamic inspects parameters and information of a heat-supply network, achieves...

  6. 2010 Telecommunications Policy Research Conference The FCC Plan for a Public Safety Broadband Wireless Network

    E-Print Network [OSTI]

    Peha, Jon M.

    Wireless Network Jennifer A. Manner, Stagg Newman, Jon M. Peha Abstract In March 2010, the U.S. Federal broadband wireless network for first responders and other public safety personnel. This paper presents, there is great need for a nationwide interoperable and highly dependable broadband wireless network built from

  7. Digital Music Research UK Roadmap www.dmrn.org/roadmap Developed by the Digital Music Research Network 1

    E-Print Network [OSTI]

    Miranda, Eduardo Reck

    Digital Music Research ­ UK Roadmap www.dmrn.org/roadmap Developed by the Digital Music Research the development of knowledge and the development of the field. The DMRN Roadmap project made two surveys recognition of audio; machine recognition of music) #12;Digital Music Research ­ UK Roadmap www.dmrn.org/roadmap

  8. Network

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

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

  9. Workshop on New Visions for Large-Scale networks: Research and Applications, Federal Large Scale Networking Working Group, , Vienna, VA, March 12-14, 2001

    E-Print Network [OSTI]

    Khan, Javed I.

    a particularly interesting formalism for the infusion of programmability into network where custom soft

  10. CR@B, or `cancer research at Bath', is a network that facilitates interaction between departments and institutes to allow multi-disciplinary activities in the field of cancer

    E-Print Network [OSTI]

    Burton, Geoffrey R.

    CR@B, or `cancer research at Bath', is a network that facilitates interaction between departments and institutes to allow multi-disciplinary activities in the field of cancer research. The network provides groups, promoting opportunities for interdisciplinary research and raising awareness of cancer research

  11. A bioinformatics/computational biology postdoctoral research position available to analyze biological networks in plants

    E-Print Network [OSTI]

    Lu, Jiaheng

    and development of plants and algae. The Department of Plant Biology is co-located with the Carnegie Department biological networks in plants A bioinformatics postdoctoral position is available immediately in the laboratory of Dr. Sue Rhee at the Carnegie Institution, Department of Plant Biology (Stanford, CA

  12. Machine Learning Research Group Working Paper 912 Refining Algorithms with KnowledgeBased Neural Networks

    E-Print Network [OSTI]

    Liblit, Ben

    Networks: Improving the Chou­Fasman Algorithm for Protein Folding * Richard Maclin Jude W. Shavlik Computer­Fasman algorithm, a method for predicting how globular proteins fold. The Chou­Fasman algorithm cannot be elegantly and discuss the need for better definitions of solution quality for the protein­folding problem. 1

  13. 34th Telecommunications Policy Research Conference, Sept. 2006 The Benefits and Risks of Mandating Network Neutrality,

    E-Print Network [OSTI]

    Peha, Jon M.

    sufficient market power. A particular concern is that network operators could use discrimination to extract, how important general design principles are, what abstract rights and freedoms consumers and carriers to their rivals. Dial-up access was naturally competitive, but consumers have been switching to broadband

  14. The Evolution of Research and Education Networks and their Essential Role in Modern Science

    E-Print Network [OSTI]

    Chaniotakis, E.

    2010-01-01

    of Our Living World • Fusion Energy Sciences ? Bring theResearch (2007 – published) • Fusion Energy Science (2008 –center), ORNL and NCAR. Fusion Energy Sciences supports

  15. Research

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

    Research Research Isotopes produced at Los Alamos National Laboratory are saving lives, advancing cutting-edge research and keeping the U.S. safe. Research thorium test foil A...

  16. Research Network E-Mobility Research Network

    E-Print Network [OSTI]

    Berlin,Technische Universität

    Testing of nanostructured metallic and ceramic materials for electrochemical energy conversion and storage, such as batteries, fuel cells, super capacitors. Single Cell building and testing. 2. Electrochemistry and Surface

  17. The MUSE Network: sharing research expertise on unsaturated soils across Domenico Gallipoli1

    E-Print Network [OSTI]

    Augarde, Charles

    have an interest in the area of unsaturated soil mechanics. The MUSE ("Mechanics of Unsaturated Soils of engineers and scientists in the area of unsaturated soil mechanics by involving them in the planned research and constitutive modelling. Introduction MUSE is the acronym for "Mechanics of Unsaturated Soils for Engineering

  18. Louisiana Biomedical Research Network (LBRN) 2015 Competition for LBRN Shared Instrumentation Funds

    E-Print Network [OSTI]

    Ullmer, Brygg

    Instrumentation Funds Deadlines September 9, 2014 Announcement of RFA October 1, 2014 Letter of Intent November 3 is to solicit requests for funds for biomedical research instrumentation from current faculty or groups of faculty (Instrumentation) and in separate applications for start-up funds (Start- up) for new faculty

  19. The Center for Satellite and Hybrid Communication Networks is a NASA Commercial Space Center and part of the Institute for Systems Research

    E-Print Network [OSTI]

    Wood, Lloyd

    -satellite constellation networks were, briefly, a vogueish research area, as the commercial satellite industry embraced a more realistic look at the current satellite industry and areas of interest including: · DVB: IP over of Maryland, College Park Refreshments Provided Faculty Host: Dr. M. Hadjitheodosiou #12;

  20. 37th Telecommunications Policy Research Conference, Sept. 2009 The Business Case of a Nationwide Wireless Network that Serves both Public

    E-Print Network [OSTI]

    Peha, Jon M.

    Wireless Network that Serves both Public Safety and Commercial Subscribers* Ryan Hallahan and Jon M. Peha Carnegie Mellon University Abstract Deploying a single nationwide broadband wireless network to serve all value (NPV) of a wireless network over a 10 year period by calculating costs based on the number of cell

  1. Research

    E-Print Network [OSTI]

    My research interests. Numerical method of stochastic partial differential equations; Uncertainty Quantification; High-order numerical method; Domain ...

  2. Research

    E-Print Network [OSTI]

    author

    Research Interests. Mathematical biology: Computational modelling of biological systems, experimental design and control of cellular processes. Applied math: ...

  3. WIRELESS Eduroam Wireless Network for College Eduroam is a global wireless roaming consortium which gives members of education and research

    E-Print Network [OSTI]

    Capdeboscq, Yves

    WIRELESS Eduroam Wireless Network for College Eduroam is a global wireless roaming consortium://cat.eduroam.org (You can visit https://cat.eduroam.org whilst connected to the OWL wireless network without a password://register.it.ox.ac.uk/self/remote_access If you are already in Oxford you can get to this URL via the OWL wireless network 2. Once you have

  4. Novel approach to utilizing electronic health records for dermatologic research: Developing a multi-institutional federated data network for clinical and translational research in psoriasis and psoriatic arthritis

    E-Print Network [OSTI]

    Armstrong, April W; Reddy, Shalini B; Garg, Amit

    2012-01-01

    translational research in psoriasis and psoriatic arthritisfor research in psoriasis and psoriatic arthritis. With theoutcomes, the creation of Psoriasis and Psoriatic Arthritis

  5. Research Network Product Development

    E-Print Network [OSTI]

    Berlin,Technische Universität

    , and Functional Testing of nanostructured metallic and ceramic materials for electrochemical energy conversion and storage, such as batteries, fuel cells, super capacitors. Single Cell building and testing. 2

  6. 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 WebQuantityBonneville Power Administration wouldMassR&D100 Winners *ReindustrializationEnergyWindNO.RequirementsResearch Research

  7. Searching for 2D Spatial Network Holes 

    E-Print Network [OSTI]

    Reitsma, Femke; Engel, Shane

    2004-01-01

    Research involving different forms of networks, such as internet networks, social networks, and cellular networks, has increasingly become an important field of study. From this work, a variety of different scaling laws ...

  8. 38th TELECOMMUNICATIONS POLICY RESEARCH CONFERENCE, Oct. 2010 Policies for Public Safety Use of Commercial Wireless Networks*

    E-Print Network [OSTI]

    Peha, Jon M.

    of Commercial Wireless Networks* Ryan Hallahan and Jon M. Peha Carnegie Mellon University Abstract Wireless of Electrical Engineering and Public Policy, Carnegie Mellon University, peha@cmu.edu, www.ece.cmu.edu/~peha All

  9. 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 RoomPreservation of Fe(II) by Carbon-RichProtonAboutNuclearPrincipal InvestigatorsResearch

  10. Network Management Network Management

    E-Print Network [OSTI]

    Giaccone, Paolo

    Network Management Pag. 1 Network Management Network management and QoS provisioning - 1Andrea of this license visit: http://creativecommons.org/licenses/by-nc- /3 0/ Network management and QoS provisioning ­ Chapter 9, Network Management, of the book Jim Kurose, Keith Ross, Computer Networking, A Top Down

  11. RESEARCH PROJECTS February 13

    E-Print Network [OSTI]

    Schenato, Luca

    RESEARCH PROJECTS FP7 February 13 #12; FP7 COOPERATION #12; INTERNATIONAL RESEARCH PROJECTS FP7 COOPERATION ENERGY PROJECT ACRONYM: EFONET PROJECT TITLE: Energy foresight network PROJECT

  12. Network-smart extension could catalyze social learning

    E-Print Network [OSTI]

    Hoffman, Matthew; Lubell, Mark; Hillis, Vicken

    2015-01-01

    Research Article Network-smart extension could catalyzebasis on which network- smart extension strategies can benetworks. Several network-smart extension strategies might

  13. Machine Learning Research Group Working Paper 91-2 Refining Algorithms with Knowledge-Based Neural Networks

    E-Print Network [OSTI]

    Shavlik, Jude W.

    Networks: Improving the Chou-Fasman Algorithm for Protein Folding* Richard Maclin Jude W. Shavlik Computer-Fasman algorithm, a method for predicting how globular proteins fold. The Chou-Fasman algorithm cannot be elegantly and discuss the need for better definitions of solution quality for the protein-folding problem. 1

  14. With the development of the MEMS technology and of wireless networking, the sensor network area has been an active field of research in the last five years. Sensor network

    E-Print Network [OSTI]

    of the sensor networks is energy as the nodes are powered with non renewable batteries, and numerous techniques, Anna, Anja og Troels who have given me the motivation to complete the project. I also thank my friends.4 Motivation for Sensor N

  15. Appears as IBM Research Report RC 19981, March 1994. Secure Transport Protocols for HighSpeed Networks

    E-Print Network [OSTI]

    Bellare, Mihir

    Appears as IBM Research Report RC 19981, March 1994. Secure Transport Protocols for High are most naturally associated with the transport level and best addressed by the design of secure transport secure transport protocol. \\Lambda IBM T.J. Watson Research Center, P.O. Box 704, Yorktown Heights, NY

  16. Supervised Learning in Neural Networks without Feedback Networks

    E-Print Network [OSTI]

    Lin, Feng

    Supervised Learning in Neural Networks without Feedback Networks Robert D. Brandt and Feng Lin Abstract In this paper, we study the supervised learning in neural networks. Unlike the com- mon practice (hardware) implementation of arti cial neural networks. This research is supported in part by the National

  17. Network Management Network Management

    E-Print Network [OSTI]

    Giaccone, Paolo

    Network Management Pag. 1 Network Management Andrea Bianco Telecommunication Network Group Network management and QoS provisioning - 1Andrea Bianco ­ TNG group - Politecnico di Torino Telecommunication management and QoS provisioning - 2Andrea Bianco ­ TNG group - Politecnico di Torino Stanford, California

  18. Enclave Vision: Foreign Networks in Peru and the Internationalization of El Niño Research during the 1920s

    E-Print Network [OSTI]

    Cushman, Gregory T.

    2004-01-01

    scientific concept. El Niño Research during the 1920s 72 Endnotes 1 Camilo N. Carrillo, “Estudios sobre las corrientes oceánicas y especialmente de la corriente de Humboldt”, Boletín de la Sociedad Geográfica de Lima, 2 (1892): 72-111; Víctor Eguiguren, “Las... scientific concept. El Niño Research during the 1920s 72 Endnotes 1 Camilo N. Carrillo, “Estudios sobre las corrientes oceánicas y especialmente de la corriente de Humboldt”, Boletín de la Sociedad Geográfica de Lima, 2 (1892): 72-111; Víctor Eguiguren, “Las...

  19. Utility Power Network Systems This research addresses the issues of security, system behavior, and socio-economic

    E-Print Network [OSTI]

    Shinozuka, Masanobu

    to the LADWP power system through two 500kV AC transmission lines and one 500kV DC transmission line. From Fig- economic component. July, 2003. Website_ResearchActivities1 #12;Background LADWP's power transmission probabilistic systems analysis of societal interests. Fig.1. Service areas of LADWP Fig.2. Electric power output

  20. Progress In Electromagnetics Research M, Vol. 37, 1120, 2014 Energy Optimized Wireless Sensor Network for Monitoring inside

    E-Print Network [OSTI]

    Halgamuge, Malka N.

    . INTRODUCTION Building Automation System (BAS) challenges to monitor and have automatic control of the security, ventilation, and air conditioning (HVAC) systems, the management of building facilities (such as lightingProgress In Electromagnetics Research M, Vol. 37, 11­20, 2014 Energy Optimized Wireless Sensor

  1. 12 The Biomedical Informatics Research Network Judith S. Olson, Mark Ellisman, Mark James, Jeffrey S. Grethe, and Mary Puetz

    E-Print Network [OSTI]

    Olson, Judith S.

    , schizophrenia, Parkinson's disease, attention deficit hyperactive disorder, Tourette's syndrome, and brain collaboratories centered around the brain imaging and genetics of human neurological disorders and the associated. This is especially important in research into the causes and cures for relatively rare diseases. The BIRN

  2. A flood-based information flow analysis and network minimization method for gene regulatory networks

    E-Print Network [OSTI]

    Pavlogiannis, Andreas; Mozhayskiy, Vadim; Tagkopoulos, Ilias

    2013-01-01

    as: Pavlogiannis et al. : A flood-based information flowRESEARCH ARTICLE Open Access A flood-based information flowlevels. Keywords: Network flood, Network flux, Information

  3. Precision Irrigators Network: On-Farm Research Demonstration to Evaluate Irrigation Scheduling Tools in the Wintergarden and Texas High Plains 

    E-Print Network [OSTI]

    Piccinni, Giovanni; Leskovar, Daniel; Harman, Wyatte; Marek, Thomas; Harris, B.L.

    2009-01-01

    between 0 and 50 represents wet soil and plentiful moisture conditions. Soil moisture values near 150 to 200 represents extremely dry soil moisture conditions. CroPMan Crop Evapotranspiration and Crop Simulation Models Located online at: http... involved in the Wintergarden. An additional 5 growers were involved in vegetable crop demonstrations for monitoring soil moisture, but these growers were not subject to modeling. - 11 - Data collected from on-farm research demonstrations for row...

  4. International Journal of Network Security, Vol.1, No.2, PP.84102, Sep. 2005 (http://isrc.nchu.edu.tw/ijns/) 84 Research on Intrusion Detection and Response

    E-Print Network [OSTI]

    Ghorbani, Ali

    Network (LAN) and Wide Area Network (WAN) application areas in business, financial, industry, security this nightmare to become a reality. In addition to the hacking, new entities like worms, Trojans and viruses

  5. 41 Current projects Climate Variability Research Research within this Division focuses on large-scale

    E-Print Network [OSTI]

    Haak, Hein

    Research Division participates in the informal network for Earth System Models of Intermediate Complexity

  6. Village agroforestry systems and tree-use practices: A case study in Sri Lanka. Multipurpose tree species network research series

    SciTech Connect (OSTI)

    Wickramasinghe, A.

    1992-01-01

    Village agroforestry systems in Sri Lanka have evolved through farmers' efforts to meet their survival needs. The paper examines farmers' land-use systems and their perceptions of the role of trees in the villages of Bambarabedda and Madugalla in central Sri Lanka. The benefits of village agroforestry are diverse food, fuelwood, fodder, timber, and mulch, but food products are of outstanding importance. The ability of Artocarpus heterophyllus (the jackfruit tree) and Cocos nucifera (coconut) to ensure food security during the dry season and provide traditional foods throughout the year, as well as to grow in limited space, make them popular crops in the two study villages. The study recommends that further research precede the formulation of agricultural interventions and that efforts to promote improved tree varieties recognize farmers' practices and expressed needs.

  7. MMS: An Autonomic Network-Layer Foundation for Network Management

    E-Print Network [OSTI]

    Ng, T. S. Eugene

    secured, and/or suboptimal in performance. This paper presents the design and implementation of the Meta-Management1 MMS: An Autonomic Network-Layer Foundation for Network Management Hemant Gogineni, Albert Research §Rice University Abstract-- Networks cannot be managed without management plane communications

  8. Social networks and the Semantic Web

    E-Print Network [OSTI]

    Baeza-Yates, Ricardo

    Social networks and the Semantic Web Peter Mika Business Informatics group Dept. of Computer technology for the social sciences Social network mining from the Web Semantics-based data management Browsing and visualization Case study Network Analysis of Semantic Web research 2. Network Analysis

  9. Ferry-Based Linear Wireless Sensor Networks

    E-Print Network [OSTI]

    Wu, Jie

    Networks Existing wireless sensor network research Assumption that the network used for sensors does of oil, gas, and water pipeline infrastructure using wireless sensor networks. #12;IEEE Globecom 2013 UAE (2006): 2,580 Km of gas pipelines 2,950 Km of oil pipelines 156 Km of refined products

  10. Optical Network Testbeds Workshop

    SciTech Connect (OSTI)

    Joe Mambretti

    2007-06-01

    This is the summary report of the third annual Optical Networking Testbed Workshop (ONT3), which brought together leading members of the international advanced research community to address major challenges in creating next generation communication services and technologies. Networking research and development (R&D) communities throughout the world continue to discover new methods and technologies that are enabling breakthroughs in advanced communications. These discoveries are keystones for building the foundation of the future economy, which requires the sophisticated management of extremely large qualities of digital information through high performance communications. This innovation is made possible by basic research and experiments within laboratories and on specialized testbeds. Initial network research and development initiatives are driven by diverse motives, including attempts to solve existing complex problems, the desire to create powerful new technologies that do not exist using traditional methods, and the need to create tools to address specific challenges, including those mandated by large scale science or government agency mission agendas. Many new discoveries related to communications technologies transition to wide-spread deployment through standards organizations and commercialization. These transition paths allow for new communications capabilities that drive many sectors of the digital economy. In the last few years, networking R&D has increasingly focused on advancing multiple new capabilities enabled by next generation optical networking. Both US Federal networking R&D and other national R&D initiatives, such as those organized by the National Institute of Information and Communications Technology (NICT) of Japan are creating optical networking technologies that allow for new, powerful communication services. Among the most promising services are those based on new types of multi-service or hybrid networks, which use new optical networking technologies. Several years ago, when many of these optical networking research topics were first being investigated, they were the subject of controversial debate. The new techniques challenged many long-held concepts related to architecture and technology. However, today all major networking organizations are transitioning toward infrastructure that incorporates these new concepts. This progress has been assisted through the series of Optical Networking Testbed Workshops (ONT). The first (ONT1) outlined a general framework of key issues and topics and developed a series of recommendations (www.nren.nasa.gov/workshop7). The second (ONT2) developed a common vision of optical network technologies, services, infrastructure, and organizations (www.nren.nasa.gov/workshop8). Processes that allow for a common vision encourage widespread deployment of these types of resources among advanced networking communities. Also, such a shared vision enables key concepts and technologies to migrate from basic research testbeds to wider networking communities. The ONT-3 workshop built on these earlier activities by expanding discussion to include additional considerations of the international interoperability and of greater impact of optical networking technology on networking in general. In accordance with this recognition, the workshop confirmed that future-oriented research and development is indispensable to fundamentally change the current Internet architecture to create a global network incorporating completely new concepts. The workshop also recognized that the first priority to allow for this progress is basic research and development, including international collaborative activities, which are important for the global realization of interoperability of a new generation architecture.

  11. The role of groups in smart camera networks

    E-Print Network [OSTI]

    Mallett, Jacky, 1963-

    2006-01-01

    Recent research in sensor networks has made it possible to deploy networks of sensors with significant local processing. These sensor networks are revolutionising information collection and processing in many different ...

  12. USING NEURAL NETWORKS FOR WEB PROXY CACHE REPLACEMENT

    E-Print Network [OSTI]

    ElAarag, Hala

    USING NEURAL NETWORKS FOR WEB PROXY CACHE REPLACEMENT by JAKE COBB Advisor HALA ELAARAG A senior................................................................................................... 10 4. NEURAL NETWORK PROXY CACHE REPLACEMENT .................................. 12 5. SIMULATION replacement is developed. Unlike previous approaches, this research utilizes neural networks for replacement

  13. CNNcon: Improved Protein Contact Maps Prediction Using Cascaded Neural Networks

    E-Print Network [OSTI]

    2013-01-01

    Top L/5 predicted. PROFcon j Neural network based; Top L/2of proteins with neural networks and correlated mutations.using 2D-recursive neural networks. Nucleic Acids Research

  14. Essays on social networks in development economics

    E-Print Network [OSTI]

    Chandrasekhar, Arun Gautham

    2012-01-01

    This thesis examines the role that social networks play in developing economies. The first two chapters analyze econometric issues that arise when researchers work with sampled network data. The final two chapters study ...

  15. Tina Wakolbinger is the Professor of Supply Chain Services and Networks and the Head of the Research Institute for Supply Chain Management at the

    E-Print Network [OSTI]

    Nagurney, Anna

    of the Research Institute for Supply Chain Management at the Vienna University of Economics and Business (WU in Management Science, in May 2007. Prior to joining WU, she was an Assistant Professor at the Fogelman College Research, the Annals of Operations Research, and Naval Research Logistics. February 19, 2013 ISOM Room 306

  16. Challenging Issues in Multimedia Transmission over Wireless Networks Based on Network Coding

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Challenging Issues in Multimedia Transmission over Wireless Networks Based on Network Coding Nguyen.debbah@supelec.fr Abstract--To meet increasing throughput, delay and reliability demands, future wireless networks will have. This paper focuses on two research directions for multimedia transmission over wireless networks based

  17. BES Science Network Requirements

    SciTech Connect (OSTI)

    Biocca, Alan; Carlson, Rich; Chen, Jackie; Cotter, Steve; Tierney, Brian; Dattoria, Vince; Davenport, Jim; Gaenko, Alexander; Kent, Paul; Lamm, Monica; Miller, Stephen; Mundy, Chris; Ndousse, Thomas; Pederson, Mark; Perazzo, Amedeo; Popescu, Razvan; Rouson, Damian; Sekine, Yukiko; Sumpter, Bobby; Dart, Eli; Wang, Cai-Zhuang -Z; Whitelam, Steve; Zurawski, Jason

    2011-02-01

    The Energy Sciences Network (ESnet) is the primary provider of network connectivityfor the US Department of Energy Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of the Office ofScience programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years.

  18. Enlighten Your Research Global Program

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

    your data Programs & Workshops CrossConnects Workshop Series Operating Innovative Networks Workshop Series Enlighten Your Research Global Program Science Requirements Reviews...

  19. Polytechnic Institute of New York University Researchers Represented...

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

    Polytechnic Institute of New York University Researchers Represented in the E-print Network ResearcherResearch Institution Web page Aronov, Boris - Department of Computer Science...

  20. ESnet supports Sandia and APNIC IPv6 Background Radiation research

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

    IPv6 Network IPv6 Implementation Checklist ESnet IPv6 Mirror Servers ESnet IPv6 History ESnet supports Sandia and APNIC IPv6 Background Radiation research Network...

  1. Network Chimera Network Chimera

    E-Print Network [OSTI]

    Northwest National Laboratory through funding provided by the U.S. Department of Energy. For more experiments in CORE (the Common Open Research Environment) from the U.S. Naval Research Laboratory. This exploratory science in Laboratory Directed Research and Development effort is made possible by the Pacific

  2. Resilience of Networks Formed of Interdependent Modular Networks

    E-Print Network [OSTI]

    Shekhtman, Louis; Havlin, Shlomo

    2015-01-01

    Many infrastructure networks have a modular structure and are also interdependent. While significant research has explored the resilience of interdependent networks, there has been no analysis of the effects of modularity. Here we develop a theoretical framework for attacks on interdependent modular networks and support our results by simulations. We focus on the case where each network has the same number of communities and the dependency links are restricted to be between pairs of communities of different networks. This is very realistic for infrastructure across cities. Each city has its own infrastructures and different infrastructures are dependent within the city. However, each infrastructure is connected within and between cities. For example, a power grid will connect many cities as will a communication network, yet a power station and communication tower that are interdependent will likely be in the same city. It has been shown that single networks are very susceptible to the failure of the interconn...

  3. An Anonymous Social Network of Opinions

    E-Print Network [OSTI]

    Haralabopoulos, Giannis

    2015-01-01

    Research interest on Online Social Networks, has increased dramatically over the last decade, mainly because online networks provide a vast source of social information. Graph structure, user connections, growth, information exposure and diffusion of online social networks, are some of the most frequently researched subjects. However, some areas of these networks are overlooked or even unconsidered, such as anonymity, equality and bias. In the limited bibliography available, such features seem to be influential to social interactions. Based on an extensive thinking of these studies, we aim to determine how universal anonymity affects: bias, user equality, information propagation, sharing and exposure, connection establishment and network structure. Thus we propose a new Anonymous Online Social Network, which will facilitate every type of monitoring and data analysis. A network that will provide an insight to our scientific pursues, which would be impossible to research in traditional Online Social Networks.

  4. Network Economics Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    Performance/Efficiency Measure with Applications to a Variety of Network Systems · Transportation Network Network Satellite and Undersea Cable Networks Duke Energy Gas Pipeline Network Transportation with transportation as the unifying application. #12;Subway Network Railroad Network Iridium Satellite Constellation

  5. O. Bonaventure, 2008 Network Security

    E-Print Network [OSTI]

    Bonaventure, Olivier

    network traffic for usernames and passwords - sniff HTTP network traffic for Paypal cookies - steal AOL://news.com.com/Universities2C+research+centers+retrench+after+hacks/2100-7349_3-5192304.html? tag=st.rn For DeCSS : http for several hours or more March 2003 Al Jazeera Is Brought Down By Hack Attackers August 2003 Variant

  6. Research Misconduct (Research Integrity

    E-Print Network [OSTI]

    Wapstra, Erik

    Research Misconduct (Research Integrity Coordinator report) Glossary ADR Associate Dean Research ANDS Australian National Data Sharing ITS Information Technology Services NeCTAR National eResearch Collaboration Tools and Resources RSDI Research Storage Data Infrastructure input Research Integrity Advisors

  7. Quantum neural networks Alexandr A. Ezhov1

    E-Print Network [OSTI]

    Martinez, Tony R.

    Quantum neural networks Alexandr A. Ezhov1 and Dan Ventura2 1 Department of Mathematics, Troitsk outlines the research, development and perspectives of quantum neural networks ­ a burgeoning new field of quantum neural networks may give us both new undestanding of brain function as well as unprecedented

  8. Sensor networks for social networks

    E-Print Network [OSTI]

    Farry, Michael P. (Michael Patrick)

    2006-01-01

    This thesis outlines the development of software that makes use of Bayesian belief networks and signal processing techniques to make meaningful inferences about real-world phenomena using data obtained from sensor networks. ...

  9. Machine learning approach to reconstructing signalling pathways and interaction networks in biology 

    E-Print Network [OSTI]

    Dondelinger, Frank

    2013-07-02

    In this doctoral thesis, I present my research into applying machine learning techniques for reconstructing species interaction networks in ecology, reconstructing molecular signalling pathways and gene regulatory networks ...

  10. STAG RESEARCH CENTERSTAG RESEARCH

    E-Print Network [OSTI]

    Abrahams, I. David

    STAG RESEARCH CENTERSTAG RESEARCH CENTERSTAG RESEARCH CENTER Postrgraduate study in mathematical physics Marika Taylor Mathematical Sciences and STAG research centre, Southampton December 19, 2014 Marika Taylor (University of Southampton) Mathematical Physics December 19, 2014 1 / 26 #12;STAG RESEARCH

  11. Statistical Analysis of Bus Networks in India

    E-Print Network [OSTI]

    Chatterjee, Atanu; Ramadurai, Gitakrishnan

    2015-01-01

    Through the past decade the field of network science has established itself as a common ground for the cross-fertilization of exciting inter-disciplinary studies which has motivated researchers to model almost every physical system as an interacting network consisting of nodes and links. Although public transport networks such as airline and railway networks have been extensively studied, the status of bus networks still remains in obscurity. In developing countries like India, where bus networks play an important role in day-to-day commutation, it is of significant interest to analyze its topological structure and answer some of the basic questions on its evolution, growth, robustness and resiliency. In this paper, we model the bus networks of major Indian cities as graphs in \\textit{L}-space, and evaluate their various statistical properties using concepts from network science. Our analysis reveals a wide spectrum of network topology with the common underlying feature of small-world property. We observe tha...

  12. Community Detection from Location-Tagged Networks

    E-Print Network [OSTI]

    Liu, Zhi

    2015-01-01

    Many real world systems or web services can be represented as a network such as social networks and transportation networks. In the past decade, many algorithms have been developed to detect the communities in a network using connections between nodes. However in many real world networks, the locations of nodes have great influence on the community structure. For example, in a social network, more connections are established between geographically proximate users. The impact of locations on community has not been fully investigated by the research literature. In this paper, we propose a community detection method which takes locations of nodes into consideration. The goal is to detect communities with both geographic proximity and network closeness. We analyze the distribution of the distances between connected and unconnected nodes to measure the influence of location on the network structure on two real location-tagged social networks. We propose a method to determine if a location-based community detection...

  13. Internet/Networking Overview Notes for CSC 580

    E-Print Network [OSTI]

    Tate, Steve

    /Networking Overview Slide 4 Some Internet History · ARPA (Advanced Research Projects Agency) experiment to test ideas: The web and privatization Internet/Networking Overview Slide 5 Some Web History · 1990: Tim Berners1 Internet/Networking Overview Notes for CSC 580 Internet/Networking Overview Slide 2 Internet

  14. Cognitive Radio Networks as Sensor Networks

    E-Print Network [OSTI]

    Bandari, Dorna; Yang, Seung R.; Zhao, Yue; Pottie, Gregory

    2007-01-01

    assuming the cognitive radios know their own coordinates.Networked Sensing Cognitive Radio Networks As SensorIntroduction: Cognitive Radio (CR) Networks The Need For

  15. DownloadedBy:[CanadianResearchKnowledgeNetwork]At:10:3327May2008 Simulation of chemical reaction equilibria by the reaction ensemble Monte Carlo method

    E-Print Network [OSTI]

    Lisal, Martin

    , novel energy storage devices and more. The thermodyn- amic driving forces for chemical reactions arise and Biological Engineering, University of Alabama, Tuscaloosa, USA; b US Army Research Laboratory, Weapons of Chemical Process Fundamentals, Academy of Sciences of the Czech Republic, Prague, Czech Republic; d

  16. RESEARCH STATEMENT Research Interest

    E-Print Network [OSTI]

    Khan, Taufiquar R.

    networks such as the "smart grid," sparse signal representation, and robust signal detection in power the power system network relevant to the "smart grid." I am interested in building a large externally funded the inverse parameter estimation problem requires minimizing an error or a cost functional J(q;z,f). In most

  17. A Dynamic Network Oligopoly Model Transportation Costs, Product Differentiation,

    E-Print Network [OSTI]

    Nagurney, Anna

    and Operations Management Isenberg School of Management University of Massachusetts Amherst, Massachusetts 01003A Dynamic Network Oligopoly Model with Transportation Costs, Product Differentiation, and Quality Network Oligopoly Model with Quality Competition #12;Acknowledgments This research was supported, in part

  18. Priority and fair scheduling in wireless local area networks 

    E-Print Network [OSTI]

    Dugar, Anurag

    2001-01-01

    In recent years, fair scheduling and quality of service (QoS) in Wireless Local Area Networks have received significant attention from the networking research community. This thesis presents a distributed Medium Access Control (MAC) protocol...

  19. Policy Research Working Paper 5710 Crossing Boundaries

    E-Print Network [OSTI]

    Gertz, Michael

    Development Team & Poverty Reduction and Economic Management Network Poverty Reduction and Equity June 2011 and Rural Development Team, Development Research Group; and the Poverty Reduction and Equity, Poverty

  20. Wireless Communications Research Lab Communications Research at WVU

    E-Print Network [OSTI]

    Reynolds, Daryl

    Theory Statistics Empirical Communication Theory Modern Communicatio Lab (WCRL) · Classes related to communications research · The relationship between information theory, communication theory, and signal processing. · Point-point information theory · Flow networks and the max

  1. Robert Ricci Research Assistant Professor

    E-Print Network [OSTI]

    is a central resource in the networking, operating systems, and distributed systems communities. The original- tion is central to both systems and networking research, much of my energy has gone into creating top have worked in a diverse set of areas includ- ing distributed systems, combinatorial optimization

  2. The Power of Networks: Building a Learning Healthcare System

    E-Print Network [OSTI]

    Nicholson, Bruce J.

    · Define PracticeBased Research Networks (PBRNs) · Examine types of research that can be embedded research results Types of Research Conducted in PBRNs · Descriptive · Observational · Experimental ------------------------------------------------------------------------------------------------------------------------------------------------------------------------- · PCT Pragmatic Clinical Trials Types of T2 T3 T4 Research Comparative Effectiveness Research (CER

  3. Energy Efficient Digital Networks

    E-Print Network [OSTI]

    Lanzisera, Steven

    2014-01-01

    equipment, market transformation for digital networks iimarket transformation of energy efficient digital networks.transformation activities. Table 7: Transforming the Network for Digital

  4. Groundwater Monitoring Network

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

    Groundwater Monitoring Network Groundwater Monitoring Network The network includes 92 natural sources, 102 regional aquifer wells, 41 intermediate-depth wells and springs, and 67...

  5. Networks in Buildings: Which Path Forward?

    SciTech Connect (OSTI)

    Nordman, Bruce

    2008-08-17

    To date, digital networks have principally been installed for connecting information technology devices, with more modest use in consumer electronics, security, and large building control systems. The next 20 years will see much greater deployment of networks in buildings of all types, and across all end uses. Most of these are likely to be introduced primarily for reasons other than energy efficiency, and add energy use for network interfaces and network products. Widespread networking could easily lead to increased energy use, and experience with IT and CE networks suggests this may be likely. Active engagement by energy efficiency professionals in the architecture and design of future networks could lead to their being a large and highly cost-effective tool for efficiency. However, network standards are complex and take many years to develop and negotiate so that lack of action on this in the near term may foreclose important opportunities for years or decades to come. Digital networks need to be common globally, providing another challenge to building systems and elements that are more commonly designed only for national or regional markets. Key future networks are lighting, climate control, and security/presence. This paper reviews some examples of past network designs and use and the lessons they hold for future building networks. It also highlights key needed areas for research, policy, and standards development.

  6. What are essential concepts about networks?

    E-Print Network [OSTI]

    Sayama, Hiroki; Porter, Mason A; Sheetz, Lori; Uzzo, Stephen

    2015-01-01

    Networks have become increasingly relevant to everyday life as our society has become increasingly connected. Attaining a basic understanding of networks has thus become a necessary form of literacy for all people living in today's society (and for youths in particular). At the NetSci 2014 conference, we initiated a year-long process to develop an educational resource that concisely summarizes essential concepts about networks that can be used by anyone of school age and older. The process involved several brainstorming sessions on one key question: "What should every person living in the 21st century know about networks by the time he/she finishes secondary education?" Different sessions reached diverse participants, which included professional researchers in network science, educators, and high-school students. The generated ideas were connected by the students to construct a concept network. We examined community structure in the concept network to group ideas into a set of important concepts, which we ref...

  7. ASCR Science Network Requirements

    SciTech Connect (OSTI)

    Dart, Eli; Tierney, Brian

    2009-08-24

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In April 2009 ESnet and the Office of Advanced Scientific Computing Research (ASCR), of the DOE Office of Science, organized a workshop to characterize the networking requirements of the programs funded by ASCR. The ASCR facilities anticipate significant increases in wide area bandwidth utilization, driven largely by the increased capabilities of computational resources and the wide scope of collaboration that is a hallmark of modern science. Many scientists move data sets between facilities for analysis, and in some cases (for example the Earth System Grid and the Open Science Grid), data distribution is an essential component of the use of ASCR facilities by scientists. Due to the projected growth in wide area data transfer needs, the ASCR supercomputer centers all expect to deploy and use 100 Gigabit per second networking technology for wide area connectivity as soon as that deployment is financially feasible. In addition to the network connectivity that ESnet provides, the ESnet Collaboration Services (ECS) are critical to several science communities. ESnet identity and trust services, such as the DOEGrids certificate authority, are widely used both by the supercomputer centers and by collaborations such as Open Science Grid (OSG) and the Earth System Grid (ESG). Ease of use is a key determinant of the scientific utility of network-based services. Therefore, a key enabling aspect for scientists beneficial use of high performance networks is a consistent, widely deployed, well-maintained toolset that is optimized for wide area, high-speed data transfer (e.g. GridFTP) that allows scientists to easily utilize the services and capabilities that the network provides. Network test and measurement is an important part of ensuring that these tools and network services are functioning correctly. One example of a tool in this area is the recently developed perfSONAR, which has already shown its usefulness in fault diagnosis during the recent deployment of high-performance data movers at NERSC and ORNL. On the other hand, it is clear that there is significant work to be done in the area of authentication and access control - there are currently compatibility problems and differing requirements between the authentication systems in use at different facilities, and the policies and mechanisms in use at different facilities are sometimes in conflict. Finally, long-term software maintenance was of concern for many attendees. Scientists rely heavily on a large deployed base of software that does not have secure programmatic funding. Software packages for which this is true include data transfer tools such as GridFTP as well as identity management and other software infrastructure that forms a critical part of the Open Science Grid and the Earth System Grid.

  8. 100Gbps Science Network | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    100Gbps Science Network Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced...

  9. Insecurity of Wireless Networks

    SciTech Connect (OSTI)

    Sheldon, Frederick T; Weber, John Mark; Yoo, Seong-Moo; Pan, W. David

    2012-01-01

    Wireless is a powerful core technology enabling our global digital infrastructure. Wi-Fi networks are susceptible to attacks on Wired Equivalency Privacy, Wi-Fi Protected Access (WPA), and WPA2. These attack signatures can be profiled into a system that defends against such attacks on the basis of their inherent characteristics. Wi-Fi is the standard protocol for wireless networks used extensively in US critical infrastructures. Since the Wired Equivalency Privacy (WEP) security protocol was broken, the Wi-Fi Protected Access (WPA) protocol has been considered the secure alternative compatible with hardware developed for WEP. However, in November 2008, researchers developed an attack on WPA, allowing forgery of Address Resolution Protocol (ARP) packets. Subsequent enhancements have enabled ARP poisoning, cryptosystem denial of service, and man-in-the-middle attacks. Open source systems and methods (OSSM) have long been used to secure networks against such attacks. This article reviews OSSMs and the results of experimental attacks on WPA. These experiments re-created current attacks in a laboratory setting, recording both wired and wireless traffic. The article discusses methods of intrusion detection and prevention in the context of cyber physical protection of critical Internet infrastructure. The basis for this research is a specialized (and undoubtedly incomplete) taxonomy of Wi-Fi attacks and their adaptations to existing countermeasures and protocol revisions. Ultimately, this article aims to provide a clearer picture of how and why wireless protection protocols and encryption must achieve a more scientific basis for detecting and preventing such attacks.

  10. Call for Papers 2010 Census Research Data Center

    E-Print Network [OSTI]

    Keinan, Alon

    Call for Papers 2010 Census Research Data Center Annual Research Conference November 18, 2010 University of Maryland College Park, MD DEADLINE FOR PROPOSALS: AUGUST 31, 2010 Census Research Data Center Network The Census Research Data Center Network welcomes proposals to present papers and posters1 based

  11. Predictable and Controllable Wireless Sensor Networks

    E-Print Network [OSTI]

    Sreenan, Cormac J.

    .roedig|c.sreenan}@cs.ucc.ie Abstract: Research activity in the area of wireless sensor networks has grown dramatically in the past few and reliability, raising concerns over their use in scenarios like mission critical production environments on Wireless Sensor Networks [1]. The volume of activity is further illustrated by recent IEEE magazines

  12. On Achieving Optimal Throughput with Network Coding

    E-Print Network [OSTI]

    Li, Zongpeng

    , Information theory, Mathematical programming/optimization, Simulations. I. INTRODUCTION In its most general justifications. First, as past research in network flow theory [2] and information theory [3] suggests and fundamental in that, a solution constructed for undirected networks can usually be applied to solve the same

  13. EE 122: Introduction To Communication Networks

    E-Print Network [OSTI]

    California at Irvine, University of

    ) Internet Hourglass 6 Structure of the Course (2nd Half) How to get the traffic from here Academic policies What makes networking challenging The fundamental issues we must grapple with to build Instructor Ion Stoica (istoica@cs.berkeley.edu) Research focus Network architectures Tracing & debugging

  14. A Retasking Framework For Wireless Sensor Networks

    E-Print Network [OSTI]

    Weigle, Michele

    used in scientific research, industrial manufacturing, and environmental monitoring over the past-effective. In this paper, we present Alert, a software framework for retasking wireless sensor networks, enabling, built upon Deluge [1], is a wireless network code distribution protocol enabling node group management

  15. Pharmaceutical Supply Chain Networks with Outsourcing

    E-Print Network [OSTI]

    Nagurney, Anna

    Pharmaceutical Supply Chain Networks with Outsourcing Under Price and Quality Competition Anna Nagurney1, Dong Li1, and Ladimer S. Nagurney2 1Isenberg School of Management University of Massachusetts Amherst Pharmaceutical Supply Chain Networks with Outsourcing #12;Acknowledgments This research

  16. Pharmaceutical Supply Chain Networks with Outsourcing

    E-Print Network [OSTI]

    Nagurney, Anna

    Pharmaceutical Supply Chain Networks with Outsourcing Under Price and Quality Competition Anna Nagurney1 , Dong (Michelle) Li1 , and Ladimer S. Nagurney2 1Isenberg School of Management University of Massachusetts Amherst Pharmaceutical Supply Chain Networks with Outsourcing #12;Acknowledgments This research

  17. World-Systems as Dynamic Networks

    E-Print Network [OSTI]

    White, Douglas R.

    World-Systems as Dynamic Networks Christopher Chase-Dunn Institute for Research on World-Systems on comparative world-systems for the workshop on `analyzing complex macrosystems as dynamic networks" at the Santa Fe Institute, April 29- 30, 2004. (8341 words) v. 4-22-04 1 #12;The comparative world-systems

  18. Variability Aware Network Utility Maximization

    E-Print Network [OSTI]

    Joseph, Vinay

    2011-01-01

    Network Utility Maximization (NUM) provides the key conceptual framework to study resource allocation amongst a collection of users/entities across disciplines as diverse as economics, law and engineering. In network engineering, this framework has been particularly insightful towards understanding how Internet protocols allocate bandwidth, and motivated diverse research on distributed mechanisms to maximize network utility while incorporating new relevant constraints, on energy/power, storage, stability, etc., for systems ranging from communication networks to the smart-grid. However when the available resources and/or users' utilities vary over time, a user's allocations will tend to vary, which in turn may have a detrimental impact on the users' utility or quality of experience. This paper introduces a generalized NUM framework which explicitly incorporates the detrimental impact of temporal variability in a user's allocated rewards. It explicitly incorporates tradeoffs amongst the mean and variability in ...

  19. Online Spectral Clustering on Network Streams

    E-Print Network [OSTI]

    Jia, Yi

    2012-12-31

    Graph is an extremely useful representation of a wide variety of practical systems in data analysis. Recently, with the fast accumulation of stream data from various type of networks, significant research interests have arisen on spectral clustering...

  20. Online social network sensors for influenza outbreaks

    E-Print Network [OSTI]

    Everett, Katie Elizabeth

    2013-01-01

    Previous research has shown strong correlations between postings on the online social network Twitter where users complain of influenza-like symptoms, and clinical data on actual influenza rates. In addition, previous ...

  1. Deep Neural Networks for Acoustic Modeling in Speech Recognition

    E-Print Network [OSTI]

    Cortes, Corinna

    1 Deep Neural Networks for Acoustic Modeling in Speech Recognition Geoffrey Hinton, Li Deng, Dong states as output. Deep neural networks with many hidden layers, that are trained using new methods have views of four research groups who have had recent successes in using deep neural networks for acoustic

  2. An FPGA-based Simulator for Datacenter Networks Zhangxi Tan

    E-Print Network [OSTI]

    Asanovic, Krste

    An FPGA-based Simulator for Datacenter Networks Zhangxi Tan Computer Science Division UC Berkeley an FPGA-based datacenter network simulator for researchers to rapidly experiment with O(10,000) node datacenter network architectures. Our simulation approach configures the FPGA hardware to implement abstract

  3. The Lee Center for Advanced Networking CALIFORNIA INSTITUTE OF TECHNOLOGY

    E-Print Network [OSTI]

    The Lee Center for Advanced Networking CALIFORNIA INSTITUTE OF TECHNOLOGY #12;2 t h e l e e c e n v e r v i e w Natural Information Networks 6 Sense and Respond Systems 10 The Architecture Market Research in the Lee Center 38 Radio Transmitters 40 High-Q for Photons 42 Better Network Design

  4. FAILURE BEHAVIOR IDENTIFICATION FOR A SPACE ANTENNA VIA NEURAL NETWORKS

    E-Print Network [OSTI]

    Antsaklis, Panos

    FAILURE BEHAVIOR IDENTIFICATION FOR A SPACE ANTENNA VIA NEURAL NETWORKS Michcl A. Sartoi David Taylo Research Center Code 1941 BeteA Mayln 200845000 ABSTRACT Using neural networks, a method-layer perceptron, the second uses a multi-layer perceptron and neural networks trained with the quadratic

  5. Wireless Sensor Networks for Structural Health Monitoring by Sukun Kim

    E-Print Network [OSTI]

    California at Berkeley, University of

    Wireless Sensor Networks for Structural Health Monitoring by Sukun Kim Research Project Submitted James W. Demmel Second Reader (Date) #12;Wireless Sensor Networks for Structural Health Monitoring Copyright Spring 2005 by Sukun Kim #12;i Abstract Wireless Sensor Networks for Structural Health Monitoring

  6. INTEGRATED DESIGN AND CONTROL OF HEAT EXCHANGER NETWORKS

    E-Print Network [OSTI]

    Skogestad, Sigurd

    INTEGRATED DESIGN AND CONTROL OF HEAT EXCHANGER NETWORKS #12; by Knut Wiig Mathisen A Thesis examples in their research attitudes. Truls also introduced me to heat exchanger networks, and has been have worked closely together with John Ulvøy on a paper on heat exchanger network synthesis

  7. Impact of Lossy Links on Performance of Multihop Wireless Networks

    E-Print Network [OSTI]

    Holte, Robert

    wireless networks have energy constraints. Lossy links also affect energy efficiency due to retransmissions of overhearing on energy efficiency. I. INTRODUCTION Research in multihop wireless networks, such as wireless ad simulation. The problem of maxi- mizing the lifetime of a wireless ad hoc network with energy constraints

  8. Local Algorithms for Finding Interesting Individuals in Large Networks

    E-Print Network [OSTI]

    Ives, Zachary G.

    or interests in so- cial networks such as Facebook, and other mechanisms that may return vertices would we actually find them -- especially considering that for many such networks (including the Web, or for non- employee researchers of online social networks such as Facebook), there may not exist an acces

  9. Congressional Research Service, Research

    E-Print Network [OSTI]

    Fernández-Juricic, Esteban

    , confidential memos, expert testimony at Congressional hearings, and responses to inquiries about major policyCongressional Research Service, Research Associate Graduate Intern Behind the Capitol Building, the face of the Legislative Branch, lies the Congressional Research Service (CRS) which provides support

  10. Experiments on Data Preprocessing of Persian Blog Networks

    E-Print Network [OSTI]

    Borhani-fard, Zeinab; Minaei-Bidgoli, Behrouz; Nasiri, Mehdi

    2014-01-01

    Social networks analysis and exploring is important for researchers, sociologists, academics, and various businesses due to their information potential. Because of the large volume, diversity, and the data growth rate in web 2.0, some challenges have been made in these data analysis. Based on definitions, weblogs are a form of social networking. So far, the majority of studies and researches in the field of weblog networks analysis and exploring their stored data have been based on international data sets. In this paper, a framework for preprocessing and data analysis in weblog networks is presented and the results of applying it on a Persian weblog network, as a case study, are expressed.

  11. International Scholarly Research Network ISRN Pediatrics

    E-Print Network [OSTI]

    Reale, Marco

    quantified to monitor fetal well-being in high-risk pregnancies and labour [4, 5]. Validated measures

  12. Network Technologies and Strategies Research Group

    E-Print Network [OSTI]

    Lambert, Patrik

    /Availability ­ Reduction of CAPEX ­ Easier interconnection model (roaming) #12;WiFi deployment models in urban areas

  13. Solar Buildings Research Network A brief overview

    E-Print Network [OSTI]

    Wu, Bin

    enough solar energy over a year that exceeds by far its total energy consumption! Photovoltaic (PV) panels mounted on the roof and façade typically convert 6-18% of the sun's energy into electricity, 50 with semitransparent systems. Combined solar energy utilization efficiencies of up to about 80% can be achieved

  14. International Scholarly Research Network ISRN Bioinformatics

    E-Print Network [OSTI]

    Radha, Hayder

    , distribution, and reproduction in any medium, provided the original work is properly cited. Microarray data are used to determine which genes are active in response to a changing cell environment. Genes moments to F inference. Model results are tested with BRCA and HIV data sets and with carefully

  15. Biological and Environmental Research Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2014-01-01

    climate model CM3, Earth System Models ESM2M and ESM2G,Division CESM Community Earth System Model CET Center forthe Community Earth System Model's (CESM’s) sixth-generation

  16. International Scholarly Research Network ISRN Orthopedics

    E-Print Network [OSTI]

    Azad, Abdul-Majeed

    in wound healing. In this work, TiO2 nanofibers were synthesized by electrospinning. Doping with iron

  17. Advanced Scientific Computing Research Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2014-01-01

    that have a high-performance computing (HPC) component (with an emphasis on high performance computing facilities.develop and deploy high- performance computing hardware and

  18. A PROPOSED INTERNATIONAL WATERSHED RESEARCH NETWORK

    E-Print Network [OSTI]

    ) specify other data sources on erosion, sediment transport, hydrology, and ancillary information and Forestry, Yangling, Shaanxi Province, China (Gray et al., in press). The Centers provide a formal mechanism and compilation of watershed information, and data access. This approach applies to the strategies of observation

  19. RESEARCH ADMINISTRATORS NETWORK MEETING August 2012

    E-Print Network [OSTI]

    New South Wales, University of

    , Communications and Training Officer, GMO Half-Yearly Debrief ­ 15 min Daniel Owens, Acting Director, GMO Director, GMO Important changes to F&A indirect costs are being implemented as a result of the A133 Audit, GMO The three start dates on ARC grant funding agreements are a common source of confusion

  20. International Scholarly Research Network ISRN Biomathematics

    E-Print Network [OSTI]

    Penny, Will

    pages doi:10.5402/2012/785791 Review Article Bayesian Models of Brain and Behaviour William Penny be addressed to William Penny, w.penny@ucl.ac.uk Received 5 August 2012; Accepted 24 September 2012 Academic Editors: C. Brown, E. V. Ignatieva, E. Pereda, L. Pezard, and A. Riva Copyright © 2012 William Penny

  1. Intelligent Rail Networks | 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 WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATION PLANIs gravityIntellectual PropertyEnergy Analysis

  2. Neural Networks Early Neural Network Modeling

    E-Print Network [OSTI]

    Yuste, Rafael

    Appendix E Neural Networks Early Neural Network Modeling Neurons Are Computational Devices A Neuron? This is the central question moti- vating the study of neural networks. In this appendix we provide a brief historical review of the field, intro- duce some key concepts, and discuss two influential models of neural networks

  3. John Jackman *First formal research

    E-Print Network [OSTI]

    McCalley, James D.

    *Studied the kinetics of a dye reaction related to solar energy *Research in the pharmaceutical industry Problems Research Contributions Manufacturing system design Queueing network models Simulation Prediction Contributions Design for manufacturing Form error estimation Prediction and estimation of uncertainty in product

  4. Scalable network-on-chip architecture for configurable neural networks Dmitri Vainbrand

    E-Print Network [OSTI]

    Ginosar, Ran

    implementation Interconnect architecture a b s t r a c t Providing highly flexible connectivity is a major. The high level architectural framework for this research is a multiprocessing chip (CMP) comprising a largeScalable network-on-chip architecture for configurable neural networks Dmitri Vainbrand , Ran

  5. STIMULUS: End-System Network Interface Controller for 100 Gb/s Wide Area Networks

    SciTech Connect (OSTI)

    Zarkesh-Ha, Payman

    2014-09-12

    The main goal of this research grant is to develop a system-level solution leveraging novel technologies that enable network communications at 100 Gb/s or beyond. University of New Mexico in collaboration with Acadia Optronics LLC has been working on this project to develop the 100 Gb/s Network Interface Controller (NIC) under this Department of Energy (DOE) grant.

  6. A Mesh-based Robust Topology Discovery Algorithm for Hybrid Wireless Networks

    E-Print Network [OSTI]

    Birman, Kenneth P.

    A Mesh-based Robust Topology Discovery Algorithm for Hybrid Wireless Networks Ranveer CHANDRA¢ @research.att.com Abstract Wireless networks in home, office and sensor applications consist of nodes by a wireline network. Topology information of the wireless network at these powerful nodes can be used

  7. Benchmarking in Wireless Networks Shafqat Ur Rehman, Thierry Turletti, Walid Dabbous

    E-Print Network [OSTI]

    Boyer, Edmond

    1 Benchmarking in Wireless Networks Shafqat Ur Rehman, Thierry Turletti, Walid Dabbous Abstract--Experimentation is evolving as a viable and realistic performance analysis approach in wireless networking research. Realism is provisioned by deploying real software (network stack, drivers, OS), and hardware (wireless cards, network

  8. Distributed Information Storage and Retrieval in 3D Sensor Networks with General Topologies

    E-Print Network [OSTI]

    Jin, Miao

    Yang, Miao Jin, Yao Zhao, and Hongyi Wu Abstract--Distributed in-network data-centric processing aims of the individual network nodes. Double-ruling based schemes support efficient in-network data-centric information distributed in-network data-centric processing schemes. In this research we propose a geographic location free

  9. Techreport NCRG/97/025. Under review for Neural Computation Computation with infinite neural networks

    E-Print Network [OSTI]

    Williams, Chris

    networks Christopher K. I. Williams Neural Computing Research Group Department of Computer Science Abstract For neural networks with a wide class of weight priors, it can be shown that in the limit a neural network by maximizing the likelihood of a finite amount of data it makes no sense to use a network

  10. Lighting Fibers in a Dark Network F. B. Shepherd and A. Vetta

    E-Print Network [OSTI]

    Vetta, Adrian

    ­fiber network, transparent optical network, linear programming, randomised rounding. I. INTRODUCTION of network design in transparent, or clear channel, optical networks associated with wavelength division capacity; we call this the cost of transparency. Experimental research shows that this cost is small

  11. Green optical network design : power optimization of wide area and metropolitan area networks

    E-Print Network [OSTI]

    Lin, Katherine Xiaoyan

    2011-01-01

    Advancements in technology are fueling huge growth in network traffic capacity. Demand for low cost, reliable, and high bitrate transmissions grows 40-110% internationally every year. To date, most research has focused on ...

  12. Network Monitoring in Multicast Networks Using Network Coding

    E-Print Network [OSTI]

    Ho, Tracey

    , and give some experimental results for one and two link failures in randomly generated networks. We also inference of possible locations of link failures or losses in a network. For distributed randomized network coding, we bound the probability of being able to distinguish among a given set of failure events

  13. The Network

    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 ofDidDevelopment TopMetathesisSediments and RelatedProject HomeNetwork

  14. The 2nd International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2005) and IEEE International Conference on e-

    E-Print Network [OSTI]

    Melbourne, University of

    The 2nd International Conference on Intelligent Sensors, Sensor Networks and Information Processing sessions focusing on both theory and applications of intelligent sensors and smart systems. In addition Conference Organiser: ARC Research Networks on Intelligent Sensors, Sensor Networks and Information

  15. Introduction to Network Analysis 1 Introduction to Network Analysis

    E-Print Network [OSTI]

    Safro, Ilya

    Networks from networksandservers.blogspot.com #12;Introduction to Network Analysis 7 Natural gas major

  16. Interests Diffusion in Social Networks

    E-Print Network [OSTI]

    D'Agostino, Gregorio; De Nicola, Antonio; Tucci, Salvatore

    2015-01-01

    Understanding cultural phenomena on Social Networks (SNs) and exploiting the implicit knowledge about their members is attracting the interest of different research communities both from the academic and the business side. The community of complexity science is devoting significant efforts to define laws, models, and theories, which, based on acquired knowledge, are able to predict future observations (e.g. success of a product). In the mean time, the semantic web community aims at engineering a new generation of advanced services by defining constructs, models and methods, adding a semantic layer to SNs. In this context, a leapfrog is expected to come from a hybrid approach merging the disciplines above. Along this line, this work focuses on the propagation of individual interests in social networks. The proposed framework consists of the following main components: a method to gather information about the members of the social networks; methods to perform some semantic analysis of the Domain of Interest; a p...

  17. MIT Plasma Science & Fusion Center: research>alcator>information

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

    Administration Computers & Networks Calendar Safety Search PSFC Go Plasma Science and Fusion Center Massachusetts Institute of Technology About PSFC Research People Education News...

  18. Network coding for robust wireless networks

    E-Print Network [OSTI]

    Kim, MinJi, Ph. D. Massachusetts Institute of Technology

    2012-01-01

    Wireless networks and communications promise to allow improved access to services and information, ubiquitous connectivity, and mobility. However, current wireless networks are not well-equipped to meet the high bandwidth ...

  19. Energy aware network coding in wireless networks

    E-Print Network [OSTI]

    Shi, Xiaomeng, Ph. D. Massachusetts Institute of Technology

    2012-01-01

    Energy is one of the most important considerations in designing reliable low-power wireless communication networks. We focus on the problem of energy aware network coding. In particular, we investigate practical energy ...

  20. Efficient network camouflaging in wireless networks 

    E-Print Network [OSTI]

    Jiang, Shu

    2006-04-12

    (e.g. broadcast, node mobility) that traditional wired networks do not possess. This necessitates developing new techniques that take account of properties of wireless networks and are able to achieve a good balance between performance and security...

  1. Background and Motivation Literature The Model Examples Summary Sustainable Supply Chain Network Design

    E-Print Network [OSTI]

    Nagurney, Anna

    Background and Motivation Literature The Model Examples Summary Sustainable Supply Chain Network and Motivation Literature The Model Examples Summary Acknowledgments The first author's research was supported Sustainable Supply Chain Network Design #12;Background and Motivation Literature The Model Examples Summary

  2. The Center for International Earth Science Information Network (CIESIN) is a data

    E-Print Network [OSTI]

    Columbia University

    The Center for International Earth Science Information Network (CIESIN) is a data and research. Updated November 2014 The Center for International Earth Science Information Network (CIESIN) is located resource management, information management, library science, geospatial technologies, software engineering

  3. Models and Solution Approaches for Efficient Design and Operation of Wireless Sensor Networks 

    E-Print Network [OSTI]

    Lin, Hui 1981-

    2010-11-11

    -renewable energy resources. Many research e orts aim at developing energy e cient network topology and routing schemes for prolonging the network lifetime. However, we notice that, in the majority of the literature, topology control and routing problems are handled...

  4. Analysis of Energy Harvesting for Vibration-Motivated Wireless Sensor Networks

    E-Print Network [OSTI]

    Lim, Sunho

    Analysis of Energy Harvesting for Vibration-Motivated Wireless Sensor Networks Sunho Lim Dept.com Abstract-- Extracting an electrical energy from various environmental sources, called energy harvesting (or energy scavenging), has been attracting researchers' attention in energy replenishable networks

  5. Neural networks as nonlinear models in Air Force personnel analysis: a prospectus and exploratory results 

    E-Print Network [OSTI]

    Wiggins, Vince L.

    1996-01-01

    recently demonstrated capabilities in areas important to personnel research such as statistical analysis, decision modeling, control, and forecasting. An extensive review of the neural network literature indicates that these networks have proven superior...

  6. Microfluidic Device to Culture 3D In Vitro Human Capillary Networks

    E-Print Network [OSTI]

    George, Steven C.

    Microfluidic Device to Culture 3D In Vitro Human Capillary Networks Monica L. Moya, Luis F. Alonzo human capillaries. Keywords: Microfluidic platform, Microenviroment, Perfused capillary networks perfusion. To address these limitations, various research groups have explored the use of microfluidic

  7. Cooperative Wireless Network Behnaam Aazhang

    E-Print Network [OSTI]

    Aazhang, Behnaam

    Cooperative Wireless Network Behnaam Aazhang #12;Cooperative Wireless Network Behnaam Aazhang Sabharwal #12;Wireless Network · Infrastructure · Ad hoc · Mesh network #12;Engineering Wireless Network · Wireless links ­ Per link design #12;Single Wireless Link · Additive Gaussian Channels ­ Achievable rate

  8. On computer vision in wireless sensor networks.

    SciTech Connect (OSTI)

    Berry, Nina M.; Ko, Teresa H.

    2004-09-01

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

  9. Interconnection networks

    DOE Patents [OSTI]

    Faber, V.; Moore, J.W.

    1988-06-20

    A network of interconnected processors is formed from a vertex symmetric graph selected from graphs GAMMA/sub d/(k) with degree d, diameter k, and (d + 1)exclamation/ (d /minus/ k + 1)exclamation processors for each d greater than or equal to k and GAMMA/sub d/(k, /minus/1) with degree d /minus/ 1, diameter k + 1, and (d + 1)exclamation/(d /minus/ k + 1)exclamation processors for each d greater than or equal to k greater than or equal to 4. Each processor has an address formed by one of the permutations from a predetermined sequence of letters chosen a selected number of letters at a time, and an extended address formed by appending to the address the remaining ones of the predetermined sequence of letters. A plurality of transmission channels is provided from each of the processors, where each processor has one less channel than the selected number of letters forming the sequence. Where a network GAMMA/sub d/(k, /minus/1) is provided, no processor has a channel connected to form an edge in a direction delta/sub 1/. Each of the channels has an identification number selected from the sequence of letters and connected from a first processor having a first extended address to a second processor having a second address formed from a second extended address defined by moving to the front of the first extended address the letter found in the position within the first extended address defined by the channel identification number. The second address is then formed by selecting the first elements of the second extended address corresponding to the selected number used to form the address permutations. 9 figs.

  10. Hybrid function projective synchronization in complex dynamical networks

    SciTech Connect (OSTI)

    Wei, Qiang; Wang, Xing-yuan, E-mail: wangxy@dlut.edu.cn; Hu, Xiao-peng [Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, 116024 (China)] [Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, 116024 (China)

    2014-02-15

    This paper investigates hybrid function projective synchronization in complex dynamical networks. When the complex dynamical networks could be synchronized up to an equilibrium or periodic orbit, a hybrid feedback controller is designed to realize the different component of vector of node could be synchronized up to different desired scaling function in complex dynamical networks with time delay. Hybrid function projective synchronization (HFPS) in complex dynamical networks with constant delay and HFPS in complex dynamical networks with time-varying coupling delay are researched, respectively. Finally, the numerical simulations show the effectiveness of theoretical analysis.

  11. Topological Complexity of Frictional Interfaces: Friction Networks

    E-Print Network [OSTI]

    H. O. Ghaffari; R. P. Young

    2012-01-05

    Through research conducted in this study, a network approach to the correlation patterns of void spaces in rough fractures (crack type II) was developed. We characterized friction networks with several networks characteristics. The correlation among network properties with the fracture permeability is the result of friction networks. The revealed hubs in the complex aperture networks confirmed the importance of highly correlated groups to conduct the highlighted features of the dynamical aperture field. We found that there is a universal power law between the nodes' degree and motifs frequency (for triangles it reads T(k)\\proptok{\\beta} ({\\beta} \\approx2\\pm0.3)). The investigation of localization effects on eigenvectors shows a remarkable difference in parallel and perpendicular aperture patches. Furthermore, we estimate the rate of stored energy in asperities so that we found that the rate of radiated energy is higher in parallel friction networks than it is in transverse directions. The final part of our research highlights 4 point sub-graph distribution and its correlation with fluid flow. For shear rupture, we observed a similar trend in sub-graph distribution, resulting from parallel and transversal aperture profiles (a superfamily phenomenon).

  12. Research Area Research Instruction

    E-Print Network [OSTI]

    Kaji, Hajime

    -machinery system (centrifugal and axial flow fans and compressors), research on aeroacoustics and unsteady data of Engineering (Univ. of Tokyo.) TEZUKA Asei Machine engine (numerical modelings on turbulence, combustion and compressor) by numerical simulation and experiment concerning internal flow, flow induced vibration

  13. Financial Networks Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    Freight Network World Oil Routes Natural Gas Flows Network Systems Internet Traffic Anna Nagurney in decision-making; constraints on resources: human, financial, natural, time, etc.; global reach of many of Networks Today large-scale nature and complexity of network topology; congestion, which leads

  14. Advanced mobile networking, sensing, and controls.

    SciTech Connect (OSTI)

    Feddema, John Todd; Kilman, Dominique Marie; Byrne, Raymond Harry; Young, Joseph G.; Lewis, Christopher L.; Van Leeuwen, Brian P.; Robinett, Rush D. III; Harrington, John J.

    2005-03-01

    This report describes an integrated approach for designing communication, sensing, and control systems for mobile distributed systems. Graph theoretic methods are used to analyze the input/output reachability and structural controllability and observability of a decentralized system. Embedded in each network node, this analysis will automatically reconfigure an ad hoc communication network for the sensing and control task at hand. The graph analysis can also be used to create the optimal communication flow control based upon the spatial distribution of the network nodes. Edge coloring algorithms tell us that the minimum number of time slots in a planar network is equal to either the maximum number of adjacent nodes (or degree) of the undirected graph plus some small number. Therefore, the more spread out that the nodes are, the fewer number of time slots are needed for communication, and the smaller the latency between nodes. In a coupled system, this results in a more responsive sensor network and control system. Network protocols are developed to propagate this information, and distributed algorithms are developed to automatically adjust the number of time slots available for communication. These protocols and algorithms must be extremely efficient and only updated as network nodes move. In addition, queuing theory is used to analyze the delay characteristics of Carrier Sense Multiple Access (CSMA) networks. This report documents the analysis, simulation, and implementation of these algorithms performed under this Laboratory Directed Research and Development (LDRD) effort.

  15. http://www-db.in.tum.de/research/projects/StreamGlobe Optimization Techniques

    E-Print Network [OSTI]

    Kemper, Alfons

    computation Early filtering and aggregation avoid unnecessary transmission Reduced network traffic Reduced peer load Network Basics: Grid-based P2P network Super-Peer Backbone Super-Peers: Powerful stationaryhttp://www-db.in.tum.de/research/projects/StreamGlobe Optimization Techniques: In-network query

  16. Southwestern Ontario Medical Education Network Southwestern Ontario Medical Education Network

    E-Print Network [OSTI]

    Lennard, William N.

    Southwestern Ontario Medical Education Network SWOMEN Southwestern Ontario Medical Education Network SWOMEN Contact: Charlotte Sikatori, Southwestern Ontario Medical Education Network (SWOMEN

  17. This article was downloaded by:[Canadian Research Knowledge Network] [Canadian Research Knowledge Network

    E-Print Network [OSTI]

    Maurer, Daphne M.

    ://www.informaworld.com/smpp/title~content=t713683696 The composite face effect in six-year-old children: Evidence of adult-like holistic face in six-year-old children: Evidence of adult-like holistic face processing', Visual Cognition, 15:5, 564 The composite face effect in six-year-old children: Evidence of adult-like holistic face processing Catherine J

  18. Understanding Spreading Patterns on Social Networks Based on Network Topology

    E-Print Network [OSTI]

    Saxena, Akrati; Gupta, Yayati

    2015-01-01

    Ever since the proposal of first epidemic model, scientists have been attempting to estimate the growth of a disease/contagion while in its premature stage. Despite being the focus of researchers for a long time, understanding epidemiology remains as error prone as a weather forecast, mainly because of the unavailability of large amount of data. An epidemic spread is analogous to the diffusion of memes in social networking sites. Diffusion of memes can be easily studied provided large datasets and computational powers to extract information from online networks. So, studying a meme spreading pattern can help us in understanding epidemiology. In this paper, we analyse the impact of the topology of a social network, specifically its meso scale properties- community structure and core-periphery structure, on a meme traversing over it. We propose a meme propagation model for synthetic scale free graphs which resemble real world graphs and observe the process of a meme going viral on such a network. We also valida...

  19. Exploring network structure, dynamics, and function using networkx

    SciTech Connect (OSTI)

    Hagberg, Aric [Los Alamos National Laboratory; Swart, Pieter [Los Alamos National Laboratory; S Chult, Daniel [COLGATE UNIV

    2008-01-01

    NetworkX is a Python language package for exploration and analysis of networks and network algorithms. The core package provides data structures for representing many types of networks, or graphs, including simple graphs, directed graphs, and graphs with parallel edges and self loops. The nodes in NetworkX graphs can be any (hashable) Python object and edges can contain arbitrary data; this flexibility mades NetworkX ideal for representing networks found in many different scientific fields. In addition to the basic data structures many graph algorithms are implemented for calculating network properties and structure measures: shortest paths, betweenness centrality, clustering, and degree distribution and many more. NetworkX can read and write various graph formats for eash exchange with existing data, and provides generators for many classic graphs and popular graph models, such as the Erdoes-Renyi, Small World, and Barabasi-Albert models, are included. The ease-of-use and flexibility of the Python programming language together with connection to the SciPy tools make NetworkX a powerful tool for scientific computations. We discuss some of our recent work studying synchronization of coupled oscillators to demonstrate how NetworkX enables research in the field of computational networks.

  20. Research Statement

    E-Print Network [OSTI]

    2014-11-06

    days, Electronic Communications Networks provide an array that allows ... Processes such as general theory of Markov processes an point processes, weak ... treatment of statistical properties, with a clear exposition of important work in LOB ...

  1. Three DOE Labs Now Connected With Ultra-High Speed Network That...

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

    at unprecedented bandwidth speeds - at least ten times faster than commercial Internet providers - with a new network that connects thousands of researchers using three of...

  2. Twelve of the World's Leading National R&E Networks Open Doors...

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

    Twelve of the World's Leading National R&E Networks Open Doors for International Research News & Publications ESnet News Media & Press Publications and Presentations Galleries...

  3. Durham Energy Institute 107 Researchers

    E-Print Network [OSTI]

    Wirosoetisno, Djoko

    research in PV, Wind, Smart Grids, Carbon Capture and Storage Strong links with Industry and UK Government;Conversion and Transmission Major emphasis in Smart Grids e.g. Low Carbon Networks Fund ­ £54M Grand Urban Transitions: climate change experiments in urban infrastructure systems in 100 global cities: what

  4. Laboratoire CITI / INRIA Research Internship

    E-Print Network [OSTI]

    Salagnac, Guillaume

    Laboratoire CITI / INRIA Research Internship Title: Energy profiling of networked embedded systems an energy supply that is steady in time but for a globally limited duration. However, embedded energy, in particular because of this energy consumption issue. From the software point of view, application developers

  5. When Network Coding improves the Performances of Clustered Wireless Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    When Network Coding improves the Performances of Clustered Wireless Networks that significantly increases the performances of clustering algorithms in wireless multi-hop networks-XOR coding; wireless multi-hop networks; clustering I. INTRODUCTION Partitioning nodes

  6. Towards Performance-Centric Fairness in Datacenter Networks

    E-Print Network [OSTI]

    Li, Baochun

    1 Towards Performance-Centric Fairness in Datacenter Networks Li Chen1 Yuan Feng2 Baochun Li1 Bo Li and Technology Abstract-- Fair bandwidth allocation in datacenter networks has been a focus of research recently this problem, and evaluate its performance with extensive simulations. I. INTRODUCTION Datacenters have become

  7. Minimum Energy Broadcast and Disk Cover in Grid Wireless Networks

    E-Print Network [OSTI]

    Calamoneri, Tiziana

    on the energy power supplied to the station. In particular, the power Ps required by a station s to Research assignment for a given set S of n stations of an ad hoc wireless network that allows a source station-hoc wireless network consists of a set S of radio stations connected by wireless links. We assume that stations

  8. Competitive Food Supply Chain Networks Application to Fresh Produce

    E-Print Network [OSTI]

    Nagurney, Anna

    Competitive Food Supply Chain Networks with Application to Fresh Produce Min Yu Department Research 224(2) (2013) pp 273-282. Abstract: In this paper, we develop a network-based food supply chain- corporates food deterioration through the introduction of arc multipliers, with the inclusion

  9. Exploring Wireless Networking Techniques Using Android Devices Summer & Fall 2010

    E-Print Network [OSTI]

    Lim, Sunho

    Exploring Wireless Networking Techniques Using Android Devices Summer & Fall 2010 National Science wireless networking techniques for Android OS devices as part of the National Science Foundation Research by the open-source Android SDK. Starting with the basics of Android development, I applied basic Java

  10. BAAP: Blackhole Attack Avoidance Protocol for Wireless Network

    E-Print Network [OSTI]

    Dharmaraja, S.

    BAAP: Blackhole Attack Avoidance Protocol for Wireless Network Saurabh Gupta Indian Institute without the contraint of special hardware and dependency on physical medium of wireless network. BAAP and router at the same time. Most of the previous research has focused on problems of routing

  11. HIERARCHICAL MANAGEMENT OF BATTLEFIELD NETWORKS WITH THE SHAMAN MANAGEMENT SYSTEM

    E-Print Network [OSTI]

    Sethi, Adarshpal

    HIERARCHICAL MANAGEMENT OF BATTLEFIELD NETWORKS WITH THE SHAMAN MANAGEMENT SYSTEM Adarshpal S Architecture for MANagement) is a novel management framework developed at the University of Delaware as a part of the research in network management sponsored by the ATIRP Consortium. SHAMAN extends the traditional flat SNMP

  12. Optimal Routing in a Small-World Network Jianyang Zeng

    E-Print Network [OSTI]

    Zeng, Jianyang "Michael"

    of the network) [9]. In order to examine the routing on random graphs, Kleinberg [9] develops a new model basedOptimal Routing in a Small-World Network Jianyang Zeng and Wen-Jing Hsu Abstract Recently a bulk of research [14, 5, 15, 9] has been done on the modelling of the small- world phenomenon, which has been shown

  13. Network Architecture Testbeds as Platforms for Ubiquitous Computing

    E-Print Network [OSTI]

    Roscoe, Timothy

    Network Architecture Testbeds as Platforms for Ubiquitous Computing By Timothy Roscoe EH Z¨urich, Switzerland Distributed Systems research, and in particular Ubiquitous Computing, has tra- ditionally assumed architecture, and also outline a radically different view of networking for Ubiquitous Computing

  14. Optimal Energy-Bandwidth Allocation for Energy Harvesting Interference Networks

    E-Print Network [OSTI]

    Fisher, Kathleen

    Optimal Energy-Bandwidth Allocation for Energy Harvesting Interference Networks Zhe Wang, Vaneet@research.att.com Abstract--We develop optimal energy-bandwidth allocation algorithm for the energy harvesting transmitters in interference networks. We assume that both the channel gain and the harvested energy are known for K slots

  15. Vulnerability Analysis of Complex Networks from Transportation Networks to

    E-Print Network [OSTI]

    Nagurney, Anna

    ;Natural Gas Pipeline Network in the US #12;World Oil Trading Network #12;The study of the efficient

  16. Comparison between Traditional Neural Networks and Radial Basis Function Networks

    E-Print Network [OSTI]

    Wilamowski, Bogdan Maciej

    Comparison between Traditional Neural Networks and Radial Basis Function Networks Tiantian Xie, Hao networks: traditional neural networks and radial basis function (RBF) networks, both of which of neural network architectures are analyzed and compared based on four different examples. The comparison

  17. Cooperation Incentives for Wireless Networks

    E-Print Network [OSTI]

    Wu, Chuchu

    2015-01-01

    incentives in multi-hop wireless networks. ” In INFOCOM,for offloading traffic from LTE network to wireless peer-to-reputation sys- tem for wireless mesh networks using network

  18. Macroscopic description for networks of spiking neurons

    E-Print Network [OSTI]

    Ernest Montbrió; Diego Pazó; Alex Roxin

    2015-06-22

    A major goal of neuroscience, statistical physics and nonlinear dynamics is to understand how brain function arises from the collective dynamics of networks of spiking neurons. This challenge has been chiefly addressed through large-scale numerical simulations. Alternatively, researchers have formulated mean-field theories to gain insight into macroscopic states of large neuronal networks in terms of the collective firing activity of the neurons, or the firing rate. However, these theories have not succeeded in establishing an exact correspondence between the firing rate of the network and the underlying microscopic state of the spiking neurons. This has largely constrained the range of applicability of such macroscopic descriptions, particularly when trying to describe neuronal synchronization. Here we provide the derivation of a set of exact macroscopic equations for a network of spiking neurons. Our results reveal that the spike generation mechanism of individual neurons introduces an effective coupling between two biophysically relevant macroscopic quantities, the firing rate and the mean membrane potential, which together govern the evolution of the neuronal network. The resulting equations exactly describe all possible macroscopic dynamical states of the network, including states of synchronous spiking activity. Finally we show that the firing rate description is related, via a conformal map, with a low-dimensional description in terms of the Kuramoto order parameter, called Ott-Antonsen theory. We anticipate our results will be an important tool in investigating how large networks of spiking neurons self-organize in time to process and encode information in the brain.

  19. Demo Abstract: GSN, Quick and Simple Sensor Network Deployment

    E-Print Network [OSTI]

    Aberer, Karl

    to renewable energy resources. While the set of defined research problems in the wireless sensor networks is available for download at http://gsn.sourceforge.net. I. INTRODUCTION AND MOTIVATION The emergence

  20. Graph spectra and modal dynamics of oscillatory networks

    E-Print Network [OSTI]

    Ayazifar, Babak, 1967-

    2003-01-01

    Our research focuses on developing design-oriented analytical tools that enable us to better understand how a network comprising dynamic and static elements behaves when it is set in oscillatory motion, and how the ...

  1. Generalized Domination in Graphs with Applications in Wireless Networks 

    E-Print Network [OSTI]

    Sung, Je Sang

    2013-12-10

    The objective of this research is to study practical generalization of domination in graphs and explore the theoretical and computational aspects of models arising in the design of wireless networks. For the construction of a virtual backbone of a...

  2. Microsoft Word - The_Advanced_Networks_and_Services_Underpinning...

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

    to, and designed to be compatible with, other research and education networks such as Internet2 in the United States and DANTEGANT in Europe. ESnet's mission is to provide an...

  3. Mobilized ad-hoc networks: A reinforcement learning approach

    E-Print Network [OSTI]

    Chang, Yu-Han

    2003-12-04

    Research in mobile ad-hoc networks has focused on situations in which nodes have no control over their movements. We investigate an important but overlooked domain in which nodes do have control over their movements. ...

  4. Integrated assessment of quality of supply in future electricity networks 

    E-Print Network [OSTI]

    Hernando Gil, Ignacio

    2014-11-27

    Although power system reliability analysis is a mature research area, there is a renewed interest in updating available network models and formulating improved reliability assessment procedures. The main driver of this ...

  5. Compiling Synchronous Kahn Networks to Efficient Reconfigurable Hardware

    E-Print Network [OSTI]

    Vuillemin, Jean

    Compiling Synchronous Kahn Networks to Efficient Reconfigurable Hardware Jean Vuillemin , Jean research on automatically compiling efficient reconfigurable hardware from high level software stream. Commercial systems exist to generate hardware (say VHDL) from high-level (say C) code [6]. Yet

  6. Managing Wireless Sensor Networks with Supply Chain Strategy

    E-Print Network [OSTI]

    Fang, Yuguang "Michael"

    , logistics and inventory management, and mil- itary reconnaissance, etc. While much research has focused to be a good candidate for sensor networks because it does not involve costly topology maintenance and complex

  7. Dynamic Power Management of High Performance Network on Chip 

    E-Print Network [OSTI]

    Mandal, Suman Kalyan

    2012-02-14

    . The addition of intelligent networking on the chip adds to the chip’s power consumption thus making management of communication power an interesting and challenging research problem. While VLSI techniques have evolved over time to enable power reduction...

  8. High Performance Datacenter Networks

    E-Print Network [OSTI]

    Cortes, Corinna

    High Performance Datacenter Networks Architectures, Algorithms, and Opportunities #12;Synthesis architecture conferences, such as ISCA, HPCA, MICRO, and ASPLOS. High Performance Datacenter Networks Computer Architecture Daniel J. Sorin 2009 The Datacenter as a Computer: An Introduction to the Design

  9. Using Neural Networks 

    E-Print Network [OSTI]

    Gabel, S.

    2003-01-01

    A neural network approach is employed for estimating key efficiency parameters in a gas turbine engine. The concept is demonstrated within a limited operating region for a given engine. The neural network is developed to estimate certain...

  10. Class network routing

    DOE Patents [OSTI]

    Bhanot, Gyan (Princeton, NJ); Blumrich, Matthias A. (Ridgefield, CT); Chen, Dong (Croton On Hudson, NY); Coteus, Paul W. (Yorktown Heights, NY); Gara, Alan G. (Mount Kisco, NY); Giampapa, Mark E. (Irvington, NY); Heidelberger, Philip (Cortlandt Manor, NY); Steinmacher-Burow, Burkhard D. (Mount Kisco, NY); Takken, Todd E. (Mount Kisco, NY); Vranas, Pavlos M. (Bedford Hills, NY)

    2009-09-08

    Class network routing is implemented in a network such as a computer network comprising a plurality of parallel compute processors at nodes thereof. Class network routing allows a compute processor to broadcast a message to a range (one or more) of other compute processors in the computer network, such as processors in a column or a row. Normally this type of operation requires a separate message to be sent to each processor. With class network routing pursuant to the invention, a single message is sufficient, which generally reduces the total number of messages in the network as well as the latency to do a broadcast. Class network routing is also applied to dense matrix inversion algorithms on distributed memory parallel supercomputers with hardware class function (multicast) capability. This is achieved by exploiting the fact that the communication patterns of dense matrix inversion can be served by hardware class functions, which results in faster execution times.

  11. Rooftop Unit Network Project

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

    Network Project RTU Network Project Michael Brambley, Ph.D. Pacific Northwest National Laboratory Michael.Brambley@pnnl.gov (509) 375-6875 April 4, 2013 2 | Building Technologies...

  12. Financial Networks Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    Gothenburg University Gothenburg, Sweden and John F. Smith Memorial Professor Director ­ Virtual Center themselves, such as the Internet with electric power networks, financial networks, and transportation Cables Radio Links Voice, Data, Video Energy Pumping Stations, Plants Pipelines, Transmission Lines Water

  13. Network coded wireless architecture

    E-Print Network [OSTI]

    Katti, Sachin Rajsekhar

    2008-01-01

    Wireless mesh networks promise cheap Internet access, easy deployment, and extended range. In their current form, however, these networks suffer from both limited throughput and low reliability; hence they cannot meet the ...

  14. Cognitive radio ad hoc networks (CRAHNs): Cognitive radio ad hoc networks (CRAHNs): Resource allocation techniques based on Bio-inspired computing

    E-Print Network [OSTI]

    Singh, Santosh Kumar

    2010-01-01

    Spectrum is a scarce commodity, and considering the spectrum scarcity faced by the wireless-based service providers led to high congestion levels. Technical inefficiencies from pooled spectrum (this is nothing but the "common carrier principle" adopted in oil/gas/electricity pipelines/networks.), since all ad hoc networks share a common pool of channels, exhausting the available channels will force ad hoc networks to block the services. Researchers found that cognitive radio (CR) technology may resolve the spectrum scarcity. CR network proved to next generation wireless communication system that proposed as a way to reuse under-utilised spectrum of licensee user (primary network) in an opportunistic and non-interfering basis. A CR is a self-configuring entity in a wireless networking that senses its environment, tracks changes, and frequently exchanges information with their networks. Adding this layer of such intelligence to the ad hoc network by looking at the overall geography of the network known as cogni...

  15. 68 Int. J. Operational Research, Vol. 20, No. 1, 2014 Copyright 2014 Inderscience Enterprises Ltd.

    E-Print Network [OSTI]

    Dharmaraja, S.

    ) requires simultaneous service from a random number of servers. Also, the generalised stochastic Petri net research interests include queuing theory, Markov modelling, and performance issues of wireless networks networks and dependability analysis of communication systems. Viswanathan Arunachalam earned his Ph

  16. Mobile Networks and Applications

    E-Print Network [OSTI]

    Chen, Min

    of Western Macedonia, Macedonia, Greece e-mail: vasilako@ath.forthnet.gr Keywords wireless sensor networks

  17. Metallic nanowire networks

    DOE Patents [OSTI]

    Song, Yujiang; Shelnutt, John A.

    2012-11-06

    A metallic nanowire network synthesized using chemical reduction of a metal ion source by a reducing agent in the presence of a soft template comprising a tubular inverse micellar network. The network of interconnected polycrystalline nanowires has a very high surface-area/volume ratio, which makes it highly suitable for use in catalytic applications.

  18. Multilevel method for modeling large-scale networks.

    SciTech Connect (OSTI)

    Safro, I. M. (Mathematics and Computer Science)

    2012-02-24

    Understanding the behavior of real complex networks is of great theoretical and practical significance. It includes developing accurate artificial models whose topological properties are similar to the real networks, generating the artificial networks at different scales under special conditions, investigating a network dynamics, reconstructing missing data, predicting network response, detecting anomalies and other tasks. Network generation, reconstruction, and prediction of its future topology are central issues of this field. In this project, we address the questions related to the understanding of the network modeling, investigating its structure and properties, and generating artificial networks. Most of the modern network generation methods are based either on various random graph models (reinforced by a set of properties such as power law distribution of node degrees, graph diameter, and number of triangles) or on the principle of replicating an existing model with elements of randomization such as R-MAT generator and Kronecker product modeling. Hierarchical models operate at different levels of network hierarchy but with the same finest elements of the network. However, in many cases the methods that include randomization and replication elements on the finest relationships between network nodes and modeling that addresses the problem of preserving a set of simplified properties do not fit accurately enough the real networks. Among the unsatisfactory features are numerically inadequate results, non-stability of algorithms on real (artificial) data, that have been tested on artificial (real) data, and incorrect behavior at different scales. One reason is that randomization and replication of existing structures can create conflicts between fine and coarse scales of the real network geometry. Moreover, the randomization and satisfying of some attribute at the same time can abolish those topological attributes that have been undefined or hidden from researchers. We propose to develop multilevel methods to model complex networks. The key point of the proposed strategy is that it will help to preserve part of the unknown structural attributes by guaranteeing the similar behavior of the real and artificial model on different scales.

  19. Harpoon: A Flow-Level Traffic Generator for Router and Network Tests

    E-Print Network [OSTI]

    Barford, Paul

    Descriptors C.2.6 [Computer-Communicaton Networks]: Internet- working--Routers; C.4 [Performance of Systems, Performance Keywords Traffic Generation, Network Flows 1. INTRODUCTION The network research community has a persistent need to evaluate new algorithms, systems and protocols using tools that create a range of test

  20. The low utilization and high cost of data networks Andrew Odlyzko

    E-Print Network [OSTI]

    Odlyzko, Andrew M.

    The low utilization and high cost of data networks Andrew Odlyzko AT&T Labs - Research amo efficiency in utilization of transmission lines. However, this is a misconception. Packet networks (PSTN). The high costs of corporate packet networks are caused primarily by low utilization rates, far

  1. Experiments with the Tenet RealTime Protocol Suite on the Sequoia 2000 Wide Area Network

    E-Print Network [OSTI]

    Zhang, Hui

    of high network load and congestion. The protocols achieve this by using resource management, connection packet­switched networks to provide end­ to­end per­connection performance guarantees. This paper guarantees, even when the network is highly loaded. 1 This research was supported by the National Science

  2. Social Network and Communications Institutional Change Principle

    Broader source: Energy.gov [DOE]

    Federal agencies can use social networks and communications to spark and reinforce behavior change for meeting sustainability goals. This principle is based on research findings showing that people and institutions often are strongly influenced by the behaviors and expectations of others.

  3. Discovery Park Impact Network for Photovoltaic Technology

    E-Print Network [OSTI]

    Holland, Jeffrey

    Discovery Park Impact Network for Photovoltaic Technology NEED Discovery Park provides for Photovoltaic Technology (NPT). The NPT is designed to be a unique venue for industry-directed, university aims to become an international center of gravity for photovoltaic research that connects islands

  4. EE 122: Introduction To Communication Networks

    E-Print Network [OSTI]

    California at Irvine, University of

    technologies (Ethernet, bridges, switches) Internet Hourglass 6 Structure of the Course (2nd Half) How to get Academic policies What makes networking challenging The fundamental issues we must grapple with to build Peer-to-peer & overlays #12;2 7 Instructor Ion Stoica (istoica@cs.berkeley.edu) Research focus

  5. InternatIonal networks annual report

    E-Print Network [OSTI]

    Du, Jie

    CutIVe suMMarY 04 assoCIatIon oF paCIFIC rIM unIVersItIes (apru) 04 research 04 APRU World Institute Public: ­ Academic Consortium 21 (AC21) ­ Association of Commonwealth Universities (ACU) ­ Association of Pacific Rim Pacific International Relations 09 Astronomy Network 10 Climate Change and Gender 10 Cognitive

  6. high-performance computing networked embedded systems

    E-Print Network [OSTI]

    Kareem, Ahsan

    generation of urban structures? Modeling technologies have changed over the years, but cityscapes have also with the inevitable. The only argument available with an east wind is to put on your overcoat." Change is inevitable into the "east wind," they are leading the way in developing network embedded systems for research in disciplines

  7. Wireless Sensor Networks Dr. Faruk Bagci

    E-Print Network [OSTI]

    Ungerer, Theo

    of Augsburg, Germany Wireless Sensor Network Applications Early disaster detection Habitat observation Intelligent buildings Research Topics Energy efficient communication ESTR-Protocol ESTR ­ Energy Saving Token and can receive data · Most sensors in ring sleep and save energy Energy efficiency Simulation of a WSN

  8. Network Characterization Service (NCS)

    SciTech Connect (OSTI)

    Jin, Guojun; Yang, George; Crowley, Brian; Agarwal, Deborah

    2001-06-06

    Distributed applications require information to effectively utilize the network. Some of the information they require is the current and maximum bandwidth, current and minimum latency, bottlenecks, burst frequency, and congestion extent. This type of information allows applications to determine parameters like optimal TCP buffer size. In this paper, we present a cooperative information-gathering tool called the network characterization service (NCS). NCS runs in user space and is used to acquire network information. Its protocol is designed for scalable and distributed deployment, similar to DNS. Its algorithms provide efficient, speedy and accurate detection of bottlenecks, especially dynamic bottlenecks. On current and future networks, dynamic bottlenecks do and will affect network performance dramatically.

  9. DOE Office of Advanced Scientific Computing Research

    E-Print Network [OSTI]

    DOE Office of Advanced Scientific Computing Research April 10, 2014 Presented to the Fusion Energy Sciences Advisory Committee by Steve Binkley Associate Director #12;2 Advanced Scientific Computing Research Delivering world leading computational and networking capabilities to extend the frontiers

  10. Framework for the study of governance in the supply networks : Wal-mart : "Enlightened Despot" model

    E-Print Network [OSTI]

    De Graeve, Denis, 1979-

    2004-01-01

    Extensive research work has been conducted on the topic of collaboration in supply chain management, but the more general topic of governance in supply networks has never truly been addressed. This research proposes to ...

  11. Demographic Diversity as Network Connections: Homophily and the Diversity-Performance Debate

    E-Print Network [OSTI]

    Reagans, Ray Eugene

    Research documenting the influence of demopraphic diversity on informal social networks is reviewed and critiqued. I focus in particular on research describing the importance of demographic diversity in the development of ...

  12. MTL ANNUAL RESEARCH REPORT 2014 Research Centers 207 Research Centers

    E-Print Network [OSTI]

    Reif, Rafael

    MTL ANNUAL RESEARCH REPORT 2014 Research Centers 207 Research Centers Center for Integrated ................................................................................................................................ 171 Energy Frontier Research Center for Excitonics ........................................................................................................... 175 #12;208 Research Centers MTL ANNUAL RESEARCH REPORT 2014 #12;MTL ANNUAL RESEARCH REPORT 2014

  13. Postdoctoral Research Awards Annual Research Meeting: Joseph...

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

    Joseph Mondloch Postdoctoral Research Awards Annual Research Meeting: Joseph Mondloch Postdoctoral Research Awards Annual Research Meeting: Joseph Mondloch poster presentation....

  14. Wireless Communications and Networking Technologies for Smart Grid: Paradigms and Challenges

    E-Print Network [OSTI]

    Fang, Xi; Xue, Guoliang

    2011-01-01

    Smart grid, regarded as the next generation power grid, uses two-way flows of electricity and information to create a widely distributed automated energy delivery network. In this work we present our vision on smart grid from the perspective of wireless communications and networking technologies. We present wireless communication and networking paradigms for four typical scenarios in the future smart grid and also point out the research challenges of the wireless communication and networking technologies used in smart grid

  15. An Efficient Local Strategy to Control Information Spreading in Network

    E-Print Network [OSTI]

    Mehta, Anoop

    2015-01-01

    In social networks, control of rumor spread is an active area of research. SIR model is generally used to study the rumor dynamics in network while considering the rumor as an epidemic. In disease spreading model, epidemic is controlled by removing central nodes in the network. Full network information is needed for such removal. To have the information of complete network is difficult proposition. As a consequence, the search of an algorithm that may control epidemic without needing global information is a matter of great interest. In this paper, an immunization strategy is proposed that uses only local information available at a node, viz. degree of the node and average degree of its neighbour nodes. Proposed algorithm has been evaluated for scale-free network using SIR model. Numerical results show that proposed method has less complexity and gives significantly better results in comparison with other strategies while using only local information.

  16. Fourth National Research Conference on Climate Change Indian Institute of Technology Madras

    E-Print Network [OSTI]

    Srinivasan, N.

    Fourth National Research Conference on Climate Change Indian Institute of Technology Madras October Indian Climate Research Network, are organizing the Fourth National Research Conference on Climate Change on renewable energy. This event, the fourth in the series, intends to nurture and enhance a dedicated network

  17. Flow-based XOR Network Coding for Lossy Wireless Networks

    E-Print Network [OSTI]

    Wu, Jie

    1 Flow-based XOR Network Coding for Lossy Wireless Networks Abdallah Khreishah, Issa M. Khalil, Pouya Ostovari, and Jie Wu Abstract--A practical way for maximizing the throughput of a wireless network. We also extend our 2-hop relay networks results to multihop wireless networks by providing a linear

  18. Experiences with 100Gbps Network Applications

    E-Print Network [OSTI]

    Balman, Mehmet

    2013-01-01

    Network Initiative (ANI) Testbed, which is supported by thes Advanced Network Initiative (ANI) network and testbed 5 ,DOE Magellan Project [17]. The ANI Network is a prototype

  19. Seven Deadliest Network Attacks

    SciTech Connect (OSTI)

    Prowell, Stacy J [ORNL; Borkin, Michael [None; Kraus, Robert [Solutionary, Inc.

    2010-05-01

    Do you need to keep up with the latest hacks, attacks, and exploits effecting networks? Then you need "Seven Deadliest Network Attacks". This book pinpoints the most dangerous hacks and exploits specific to networks, laying out the anatomy of these attacks including how to make your system more secure. You will discover the best ways to defend against these vicious hacks with step-by-step instruction and learn techniques to make your computer and network impenetrable. Attacks detailed in this book include: Denial of Service; War Dialing; Penetration 'Testing'; Protocol Tunneling; Spanning Tree Attacks; Man-in-the-Middle; and, Password Replay. Knowledge is power, find out about the most dominant attacks currently waging war on computers and networks globally. Discover the best ways to defend against these vicious attacks; step-by-step instruction shows you how. Institute countermeasures, don't be caught defenseless again, learn techniques to make your computer and network impenetrable.

  20. Reconfigureable network node

    DOE Patents [OSTI]

    Vanderveen, Keith B. (Tracy, CA); Talbot, Edward B. (Livermore, CA); Mayer, Laurence E. (Davis, CA)

    2008-04-08

    Nodes in a network having a plurality of nodes establish communication links with other nodes using available transmission media, as the ability to establish such links becomes available and desirable. The nodes predict when existing communications links will fail, become overloaded or otherwise degrade network effectiveness and act to establish substitute or additional links before the node's ability to communicate with the other nodes on the network is adversely affected. A node stores network topology information and programmed link establishment rules and criteria. The node evaluates characteristics that predict existing links with other nodes becoming unavailable or degraded. The node then determines whether it can form a communication link with a substitute node, in order to maintain connectivity with the network. When changing its communication links, a node broadcasts that information to the network. Other nodes update their stored topology information and consider the updated topology when establishing new communications links for themselves.

  1. Chapters 6 & 8 Wireless Networks

    E-Print Network [OSTI]

    Lu, Enyue "Annie"

    Chapters 6 & 8 Wireless Networks and Security Computer Networking:ATop Down Approach 6th edition.W. Ross, All Rights Reserved Wireless, Mobile Networks 6-1 #12;Wireless, Mobile Networks 6-2 Ch. 6: Wireless and Mobile Networks Background: # wireless (mobile) phone subscribers now exceeds # wired phone

  2. Wireless Network Economics and Games

    E-Print Network [OSTI]

    Huang, Jianwei

    Wireless Network Economics and Games Jianwei Huang Network Communications & Economics Lab-play-games/id642100914! ! · J. Huang and L. Gao, "Wireless Network Pricing," Synthesis Lectures on Communication Networks://jianwei.ie.cuhk.edu.hk/publication/Book/ WirelessNetworkPricing.pdf! ! #12;Why Wireless Economics and Games? #12;Wireless Utopia · Wireless spectrum

  3. Laboratory Directed Research and Development Program FY 2009 for Lawrence Berkeley National Laboratory

    E-Print Network [OSTI]

    Hansen, Todd C.

    2010-01-01

    low-dose radiation exposure involves molecular networks and pathways associated with cognitive functions, advanced aging, and Alzheimer’s disease,” Radiation Research

  4. Community Cellular Networks

    E-Print Network [OSTI]

    Heimerl, Kurtis

    2013-01-01

    2.1.3 Rural Cellular . . . . . . . . . . . . . . 2.2Community Cellular . . . . . . . . . . . . . . . . .9.1.1Community Cellular Networks 3.1 De?ning Community Cellular

  5. Wireless Network Esercitazioni

    E-Print Network [OSTI]

    Lo Cigno, Renato Antonio

    Wireless Network Esercitazioni Alessandro Villani avillani@science.unitn.it #12;Ethereal #12 wireless LAN (WLAN) Non è ancora realmente utilizzato Scaricabile all'indirizzo: http

  6. Potential Networks, Contagious Communities, and Understanding Social Network Structure

    E-Print Network [OSTI]

    Schoenebeck, Grant

    2013-01-01

    In this paper we study how the network of agents adopting a particular technology relates to the structure of the underlying network over which the technology adoption spreads. We develop a model and show that the network of agents adopting a particular technology may have characteristics that differ significantly from the social network of agents over which the technology spreads. For example, the network induced by a cascade may have a heavy-tailed degree distribution even if the original network does not. This provides evidence that online social networks created by technology adoption over an underlying social network may look fundamentally different from social networks and indicates that using data from many online social networks may mislead us if we try to use it to directly infer the structure of social networks. Our results provide an alternate explanation for certain properties repeatedly observed in data sets, for example: heavy-tailed degree distribution, network densification, shrinking diameter...

  7. On Benefits of Network Coding in Bidirected Networks and Hyper-networks

    E-Print Network [OSTI]

    Li, Zongpeng

    . It was shown that network coding helps increase the throughput and reduce the cost of data transmission to study the coding advantage in two types of parameterized networks, with richer modeling power. The firstOn Benefits of Network Coding in Bidirected Networks and Hyper-networks Xunrui Yin, Xin Wang, Jin

  8. Network for Photovoltaic TechnologyNEED IMPACT STATEMENT

    E-Print Network [OSTI]

    Ginzel, Matthew

    Network for Photovoltaic TechnologyNEED IMPACT STATEMENT INITIATIVE In early 2009, the Discovery graduate students have received several best poster and paper awards; A hub for photovoltaic research://nanohub.org/groups/PVWorkshop The NPT is becoming an international center for photovoltaic research to connect islands of excellence

  9. AVERAGE INFLUENCE OF THRESHOLD BOOLEAN FUNCTIONS AND HETEROGENEOUS KAUFFMAN NETWORKS

    E-Print Network [OSTI]

    Matache, Dora

    was to build upon previous research about other types of func- tions and their influence by developing a model it to model the influence and find the critical values for combinations of different types of Boolean recent research has focused on finding phase transitions for homogeneous network ensembles with just one

  10. Multicast Time Maximization in Energy Constrained Wireless Networks

    E-Print Network [OSTI]

    Orponen, Pekka

    Institute for Information Technology Basic Research Unit P.O. Box 26 FIN-00014 University of Helsinki Institute for Information Technology Basic Research Unit P.O. Box 26 FIN-00014 University of HelsinkiMulticast Time Maximization in Energy Constrained Wireless Networks Patrik Flor´een Helsinki

  11. AirJava: Networking for Smart Spaces Kevin L. Mills

    E-Print Network [OSTI]

    of building AirJava adapters today so researchers can begin experimenting with Smart Spaces. 1. Introduction propose a means of building AirJava adapters so researchers can begin experimenting with Smart SpacesAirJava: Networking for Smart Spaces Kevin L. Mills Information Technology Laboratory National

  12. RESEARCH STATEMENT

    E-Print Network [OSTI]

    2013-11-15

    ... costs of the measurements/model simulations are expensive, especially on high .... proposed in this research is the Markov Chain Monte Carlo sampling. For

  13. Survivability Considerations in Wireless Networks

    E-Print Network [OSTI]

    Ning, Jianxia

    2012-01-01

    Forensics Analysis of Packet Losses in Wireless Networks 2.1Neighbor Discovery in 60 GHz Indoor Wireless Networks 4.1in Wireless Networks . . . . . . . . . . . . . 4.2.4

  14. Enhancing network robustness via shielding

    E-Print Network [OSTI]

    Zhang, Jianan, S.M. Massachusetts Institute of Technology

    2014-01-01

    Shielding critical links enhances network robustness and provides a new way of designing robust networks. We first consider shielding critical links to guarantee network connectivity after any failure under geographical ...

  15. SEISMIC ENGINEERING RESEARCH INFRASTRUCTURES FOR EUROPEAN SYNERGIES 1 SERIES Final Workshop , Ispra, 28-30 May 2013

    E-Print Network [OSTI]

    SEISMIC ENGINEERING RESEARCH INFRASTRUCTURES FOR EUROPEAN SYNERGIES 1 SERIES Final Workshop , Ispra, 28-30 May 2013 SERIES Networking Activities: Distributed database and Qualification of Research Infrastructures Opening remarks Pierre Pegon (JRC) #12;SEISMIC ENGINEERING RESEARCH INFRASTRUCTURES FOR EUROPEAN

  16. Emergence of multiplex communities in collaboration networks

    E-Print Network [OSTI]

    Battiston, Federico; Nicosia, Vincenzo; Bianconi, Ginestra; Latora, Vito

    2015-01-01

    Community structures in collaboration networks reflect the natural tendency of individuals to organize their work in groups in order to better achieve common goals. In most of the cases, individuals exploit their connections to introduce themselves to new areas of interests, giving rise to multifaceted collaborations which span different fields. In this paper, we analyse collaborations in science and among movie actors as multiplex networks, where the layers represent respectively research topics and movie genres, and we show that communities indeed coexist and overlap at the different layers of such systems. We then propose a model to grow multiplex networks based on two mechanisms of intra and inter-layer triadic closure which mimic the real processes in which collaborations evolve. We show that our model is able to explain the multiplex community structure observed empirically, and we infer the strength of the two underlying social mechanisms from real-world systems. Being also able to correctly reproduce ...

  17. Modeling Computations in a Semantic Network

    E-Print Network [OSTI]

    Marko A. Rodriguez; Johan Bollen

    2007-05-31

    Semantic network research has seen a resurgence from its early history in the cognitive sciences with the inception of the Semantic Web initiative. The Semantic Web effort has brought forth an array of technologies that support the encoding, storage, and querying of the semantic network data structure at the world stage. Currently, the popular conception of the Semantic Web is that of a data modeling medium where real and conceptual entities are related in semantically meaningful ways. However, new models have emerged that explicitly encode procedural information within the semantic network substrate. With these new technologies, the Semantic Web has evolved from a data modeling medium to a computational medium. This article provides a classification of existing computational modeling efforts and the requirements of supporting technologies that will aid in the further growth of this burgeoning domain.

  18. Generative model selection using a scalable and size-independent complex network classifier

    SciTech Connect (OSTI)

    Motallebi, Sadegh, E-mail: motallebi@ce.sharif.edu; Aliakbary, Sadegh, E-mail: aliakbary@ce.sharif.edu; Habibi, Jafar, E-mail: jhabibi@sharif.edu [Department of Computer Engineering, Sharif University of Technology, Tehran (Iran, Islamic Republic of)] [Department of Computer Engineering, Sharif University of Technology, Tehran (Iran, Islamic Republic of)

    2013-12-15

    Real networks exhibit nontrivial topological features, such as heavy-tailed degree distribution, high clustering, and small-worldness. Researchers have developed several generative models for synthesizing artificial networks that are structurally similar to real networks. An important research problem is to identify the generative model that best fits to a target network. In this paper, we investigate this problem and our goal is to select the model that is able to generate graphs similar to a given network instance. By the means of generating synthetic networks with seven outstanding generative models, we have utilized machine learning methods to develop a decision tree for model selection. Our proposed method, which is named “Generative Model Selection for Complex Networks,” outperforms existing methods with respect to accuracy, scalability, and size-independence.

  19. Deep Lambertian Networks Introduction

    E-Print Network [OSTI]

    Toronto, University of

    Deep Lambertian Networks Introduction Learns distributions over 3D object shapes from sets of 2D-shot recognition possible Uses multiplicative interactions to approximate the Lambertian reflectance model Deep 30 50 Experiments Deep Lambertian Networks Inference Samples from albedo DBN Face Relighting Simple

  20. Miniaturized wireless sensor network

    E-Print Network [OSTI]

    Lecointre, Aubin; Dubuc, David; Katia, Grenier; Patrick, Pons; Aubert, Hervé; Muller, A; Berthou, Pascal; Gayraud, Thierry; Plana, Robert

    2010-01-01

    This paper addresses an overview of the wireless sensor networks. It is shown that MEMS/NEMS technologies and SIP concept are well suited for advanced architectures. It is also shown analog architectures have to be compatible with digital signal techniques to develop smart network of microsystem.

  1. Water Network Design by MINLP

    E-Print Network [OSTI]

    2008-02-12

    We propose a solution method for a water-network optimization problem using a ... The optimal design of a WDN (Water Distribution Network) consists, in its ...

  2. Software Defined Networking (SDN) Project

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

    Networking (SDN) Project Energy sector-focused SDN flow controller to manage control system networks centrally and securely Background Traditional information technology (IT)...

  3. Siphons in Chemical Reaction Networks

    E-Print Network [OSTI]

    Shiu, Anne; Sturmfels, Bernd

    2010-01-01

    strongly-connected chemical reaction, and the compu- tationcredited. Siphons in Chemical Reaction Networks Referencesto persistence analysis in chemical reaction networks. In:

  4. The Future of Network Neutrality

    E-Print Network [OSTI]

    Guttentag, Mikhail

    2009-01-01

    November 3, 2007). Print. The Future of Network Neutralityappeali.html>. The Future of Network Neutrality 19 ———. "Books, 2006. Print. ———. The Future of Ideas. New York, NY:

  5. Wireless Networking | ornl.gov

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

    Wireless Networking A PDF version of these instructions is also available. As a visitor to Oak Ridge National Laboratory (ORNL), access to the ORNL wireless network is available...

  6. Fault localization in backbone networks

    E-Print Network [OSTI]

    Kompella, Ramana Rao

    2007-01-01

    imperfections stem from inherent churn in the network andtrack the network and therefore exhibit churn. The IPFLdriven, and copes with churn by reloading multiple times

  7. Collective network routing

    DOE Patents [OSTI]

    Hoenicke, Dirk

    2014-12-02

    Disclosed are a unified method and apparatus to classify, route, and process injected data packets into a network so as to belong to a plurality of logical networks, each implementing a specific flow of data on top of a common physical network. The method allows to locally identify collectives of packets for local processing, such as the computation of the sum, difference, maximum, minimum, or other logical operations among the identified packet collective. Packets are injected together with a class-attribute and an opcode attribute. Network routers, employing the described method, use the packet attributes to look-up the class-specific route information from a local route table, which contains the local incoming and outgoing directions as part of the specifically implemented global data flow of the particular virtual network.

  8. Supporting Advanced Scientific Computing Research Basic Energy Sciences Biological

    E-Print Network [OSTI]

    and Environmental Research · Fusion Energy Sciences · High Energy Physics · Nuclear Physics IPv6 SNMP Network will become consistent and routine IPv6 SNMP Network Management Goals #12;2/2/10 ·ESnet has a long history - Polling of SNMP MIBs - Handling of asynchronous trap based alerts - GUI input & output Enablers ESnet has

  9. www.research.wayne.edu Research Handbook

    E-Print Network [OSTI]

    Finley Jr., Russell L.

    www.research.wayne.edu Research Handbook 2014-2015 #12;RESEARCH HANDBOOK TABLE OF CONTENTS Office of the Vice President for Research (OVPR) ....... Section 1 Research Programs and Resources.............................. Section 2 Seminars and Trainings................................................ Section 3 Research

  10. Call for Applications for Project Assistant Professor Frontier Research Academy for Young Researchers, Kyushu Institute of Technology

    E-Print Network [OSTI]

    Kourai, Kenichi

    research on Electric Power, Energy, Power Electronics especially, on Electric Energy, Power Electronics, Device, Apparatus, Fusion of Informatics and Energy Network and New Electric Materials (2) Integrated-imaging and molecular imaging (6) Innovative energy and process research unit This research unit is a multidisciplinary

  11. On cost-effective communication network designing

    E-Print Network [OSTI]

    Guoqiang Zhang

    2010-04-14

    How to efficiently design a communication network is a paramount task for network designing and engineering. It is, however, not a single objective optimization process as perceived by most previous researches, i.e., to maximize its transmission capacity, but a multi-objective optimization process, with lowering its cost to be another important objective. These two objectives are often contradictive in that optimizing one objective may deteriorate the other. After a deep investigation of the impact that network topology, node capability scheme and routing algorithm as well as their interplays have on the two objectives, this letter presents a systematic approach to achieve a cost-effective design by carefully choosing the three designing aspects. Only when routing algorithm and node capability scheme are elegantly chosen can BA-like scale-free networks have the potential of achieving good tradeoff between the two objectives. Random networks, on the other hand, have the built-in character for a cost-effective design, especially when other aspects cannot be determined beforehand.

  12. Comparative analysis of collaboration networks

    SciTech Connect (OSTI)

    Progulova, Tatiana; Gadjiev, Bahruz [International University for Nature, Society and Man, 19 Universitetskaya Street, Dubna, 141980 (Russian Federation)

    2011-03-14

    In this paper we carry out a comparative analysis of the word network as the collaboration network based on the novel by M. Bulgakov 'Master and Margarita', the synonym network of the Russian language as well as the Russian movie actor network. We have constructed one-mode projections of these networks, defined degree distributions for them and have calculated main characteristics. In the paper a generation algorithm of collaboration networks has been offered which allows one to generate networks statistically equivalent to the studied ones. It lets us reveal a structural correlation between word network, synonym network and movie actor network. We show that the degree distributions of all analyzable networks are described by the distribution of q-type.

  13. Research Theme Paper Research Themes...............................................................................................................................................3

    E-Print Network [OSTI]

    Wapstra, Erik

    Research Theme Paper May 2015 #12;Contents Research Themes&S).......................................................................................8 Environment, Resources and Sustainability Research Programs&M)...................................................................................................13 MA&M Research Program

  14. Postdoctoral Research Awards Annual Research Meeting: Brandon...

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

    Brandon Mercado Postdoctoral Research Awards Annual Research Meeting: Brandon Mercado Poster Presentation at 2012 EERE Annual Research Meeting, Postdoctoral Research Awards, from...

  15. Postdoctoral Research Awards Annual Research Meeting: Padmaja...

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

    Padmaja Gunda Postdoctoral Research Awards Annual Research Meeting: Padmaja Gunda Poster Presentation at 2012 EERE Annual Research Meeting, Postdoctoral Research Awards, from the...

  16. Control of coupled oscillator networks with application to microgrid technologies

    E-Print Network [OSTI]

    Per Sebastian Skardal; Alex Arenas

    2015-07-09

    The control of complex systems and network-coupled dynamical systems is a topic of vital theoretical importance in mathematics and physics with a wide range of applications in engineering and various other sciences. Motivated by recent research into smart grid technologies we study here control of synchronization and consider the important case of networks of coupled phase oscillators with nonlinear interactions--a paradigmatic example that has guided our understanding of self-organization for decades. We develop a method for control based on identifying and stabilizing problematic oscillators, resulting in a stable spectrum of eigenvalues, and in turn a linearly stable synchronized state. Interestingly, the amount of control, i.e., number of oscillators, required to stabilize the network is primarily dictated by the coupling strength, dynamical heterogeneity, and mean degree of the network, and depends little on the structural heterogeneity of the network itself.

  17. The extreme vulnerability of interdependent spatially embedded networks

    E-Print Network [OSTI]

    Bashan, Amir; Buldyrev, Sergey V; Havlin, Shlomo

    2015-01-01

    Recent studies show that in interdependent networks a very small failure in one network may lead to catastrophic consequences. Above a critical fraction of interdependent nodes, even a single node failure can invoke cascading failures that may abruptly fragment the system, while below this "critical dependency" (CD) a failure of few nodes leads only to small damage to the system. So far, the research has been focused on interdependent random networks without space limitations. However, many real systems, such as power grids and the Internet, are not random but are spatially embedded. Here we analytically and numerically analyze the stability of systems consisting of interdependent spatially embedded networks modeled as lattice networks. Surprisingly, we find that in lattice systems, in contrast to non-embedded systems, there is no CD and \\textit{any} small fraction of interdependent nodes leads to an abrupt collapse. We show that this extreme vulnerability of very weakly coupled lattices is a consequence of t...

  18. Exploring the Graph of Graphs: Network Evolution and Centrality Distances

    E-Print Network [OSTI]

    Pignolet, Yvonne Anne; Schmid, Stefan; Tredan, Gilles

    2015-01-01

    The topological structure of complex networks has fascinated researchers for several decades, and today we have a fairly good understanding of the types and reoccurring characteristics of many different complex networks. However, surprisingly little is known today about models to compare complex graphs, and quantitatively measure their similarity and dynamics. In the past a variety of node centralities, i.e., functions which assign values to nodes to represent their importance in the graph. Based on such centralities we propose a natural similarity measure for complex networks: the centrality distance $d_C$, the difference between two graphs with respect to a given node centrality $C$. Centrality distances can take the specific roles of the different nodes in the network into account, and have many interesting applications. As a case study, we investigate the evolution of networks with respect to centrality distances and their approximations based on closeness, betweenness, pagerank, clustering and degree cen...

  19. Nuclear power plant fault-diagnosis using artificial neural networks

    SciTech Connect (OSTI)

    Kim, Keehoon; Aljundi, T.L.; Bartlett, E.B.

    1992-01-01

    Artificial neural networks (ANNs) have been applied to various fields due to their fault and noise tolerance and generalization characteristics. As an application to nuclear engineering, we apply neural networks to the early recognition of nuclear power plant operational transients. If a transient or accident occurs, the network will advise the plant operators in a timely manner. More importantly, we investigate the ability of the network to provide a measure of the confidence level in its diagnosis. In this research an ANN is trained to diagnose the status of the San Onofre Nuclear Generation Station using data obtained from the plant's training simulator. Stacked generalization is then applied to predict the error in the ANN diagnosis. The data used consisted of 10 scenarios that include typical design basis accidents as well as less severe transients. The results show that the trained network is capable of diagnosing all 10 instabilities as well as providing a measure of the level of confidence in its diagnoses.

  20. National Renewable Energy Laboratory Solar Radiation Research Laboratory

    E-Print Network [OSTI]

    National Renewable Energy Laboratory Solar Radiation Research Laboratory (SRRL) Instrument of Energy (DoE). Objectives · Provide Improved Methods for Radiometer Calibrations · Develop a Solar Energy Resources · Offer Unique Training Methods for Solar Monitoring Network Design, Operation

  1. Alberta researchers use high tech tools for climate health checks

    E-Print Network [OSTI]

    Wang, Hao "Howard"

    and Mexico. There's an enormous amount of important information available to help understand some://calgaryherald.com/technology/techyou/albertaresearchersusehightechtoolsforclimatehealthchecks Sophisticated sensors, solar power sources and wireless communication networks allow climate researchers

  2. THE UK'S INNOVATION NETWORK KNOWLEDGE TRANSFER NETWORK

    E-Print Network [OSTI]

    ­ Support available from the Innovation Network Brian J. McCarthy ­ Knowledge Transfer Manager ­ Materials, entrepreneurs, academics and funders to develop new products and services. We help business to grow the economy people together `to make magic happen' 6,000+ Delegates per year #12;PAGE6 The KTN Structure · Materials

  3. RESEARCH PROJECTS A Basic research

    E-Print Network [OSTI]

    25 7 RESEARCH PROJECTS A Basic research SOFT SENSOR METHODS TO IMPROVE COMPETENCE OF INDUSTRIAL, Oulu University Duration of the project: 2000-2004 The aim is to improve the competence of industrial. #12;26 B Energy and process automation INTERACTION BETWEEN WOOD AND DEFIBRATION MEDIA IN GRINDING

  4. Research Help

    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) by Carbon-RichProtonAboutNuclearPrincipalResearchResearchResearch

  5. OSERENA, an Optimized Coloring Algorithm for Dense or Large Scale Wireless Networks

    E-Print Network [OSTI]

    Amdouni, Ichrak; Adjih, Cédric

    2011-01-01

    The goal of this research report is to present OSERENA "Optimized SchEduling RoutEr Node Activity", a distributed coloring algorithm optimized for dense wireless networks. Network density has an extremely reduced impact on the size of the messages exchanged to color the network. Furthermore, the number of colors used to color the network is not impacted by this optimization. We describe in this research report the properties of the algorithm and prove its correctness and termination. Simulation results point out the considerable gains in bandwidth.

  6. UCIT Data Network Standards Campus Wireless Network Standard

    E-Print Network [OSTI]

    Habib, Ayman

    UCIT Data Network Standards Campus Wireless Network Standard Classification IT Infrastructure Table.1. Standardization of the U of C's 802.11 wireless networks and frequency bands is required to insure availability of the wireless network to the campus community. Standards of use will improve the wireless service and help

  7. Deep Belief Networks The New Generation of Neural Networks1

    E-Print Network [OSTI]

    Hernández Lobato, José Miguel

    Deep Belief Networks The New Generation of Neural Networks1 Jos´e Miguel Hern´andez Lobato This presentation is mainly based on the work by Geoffrey E. Hinton. 1 / 28 #12;Deep Belief Networks Outline 1 Boltzmann Machines 2 Restricted Boltzmann Machines 3 Deep Belief Networks 4 Applications of Deep Belief

  8. Network on a Chip: Modeling Wireless Networks with Asynchronous VLSI

    E-Print Network [OSTI]

    Manohar, Rajit

    for Internet-scale networks (for instance, see [2, 3, 5]), as well as the design of flexible and compositionalNetwork on a Chip: Modeling Wireless Networks with Asynchronous VLSI Rajit Manohar and Clinton, Ithaca NY 14853 Abstract We introduce the notion of a network-on-a-chip: a programmable, asynchronous

  9. Byzantine Modification Detection in Multicast Networks with Random Network Coding

    E-Print Network [OSTI]

    Médard, Muriel

    network coding. Each exogenous source packet is augmented with a flexible number of hash symbols of the random network code, and can have the same (or greater) transmission capacity compared to the sourceByzantine Modification Detection in Multicast Networks with Random Network Coding Tracey Ho, Ben

  10. Network Coding-Based Protection Scheme for Elastic Optical Networks

    E-Print Network [OSTI]

    Politècnica de Catalunya, Universitat

    speed transmissions achieved in fiber optical networks. Traditional optical networks consist of a fixed. Recently, optical networks are undergoing significant changes with the purpose of providing a flexible grid with protection schemes for the purpose of reducing power consumption. An additional goal for network providers

  11. Introduction to Network Science 1 Introduction to Network Science

    E-Print Network [OSTI]

    Safro, Ilya

    Introduction to Network Science 1 Introduction to Network Science Instructor: Ilya Safro, 228 McAdams Hall Course: Introduction to Network Science, CP SC 481/681/881 Time: 9:30-10:45 TTh Place: 211 Daniel A 80 B 60 C 0 F #12;Introduction to Network Science 2 Recommended Books (optional) #12;Introduction

  12. Network Dynamics of City Sizes, Trade Networks, and Conflict

    E-Print Network [OSTI]

    White, Douglas R.

    Network Dynamics of City Sizes, Trade Networks, and Conflict Doug White In collaboration world, scale-free ­ but they are not going to get us where we need to go What are the possibilites: city size hierarchies and how they are likely to be driven by trade networks Network realism

  13. Network aware distributed applications

    SciTech Connect (OSTI)

    Agarwal, Deborah [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Tierney, Brian L. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Gunter, Dan [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Lee, Jason [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Johnston, William [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2001-02-04

    Most distributed applications today manage to utilize only a small percentage of the needed and available network bandwidth. Often application developers are not aware of the potential bandwidth of the network, and therefore do not know what to expect. Even when application developers are aware of the specifications of the machines and network links, they have few resources that can help determine why the expected performance was not achieved. What is needed is a ubiquitous and easy-to-use service that provides reliable, accurate, secure, and timely estimates of dynamic network properties. This service will help advise applications on how to make use of the network's increasing bandwidth and capabilities for traffic shaping and engineering. When fully implemented, this service will make building currently unrealizable levels of network awareness into distributed applications a relatively mundane task. For example, a remote data visualization application could choose between sending a wireframe, a pre-rendered image, or a 3-D representation, based on forecasts of CPU availability and power, compression options, and available bandwidth. The same service will provide on-demand performance information so that applications can compare predicted with actual results, and allow detailed queries about the end-to-end path for application and network tuning and debugging.

  14. A quantum access network

    E-Print Network [OSTI]

    Bernd Fröhlich; James F. Dynes; Marco Lucamarini; Andrew W. Sharpe; Zhiliang Yuan; Andrew J. Shields

    2014-09-02

    The theoretically proven security of quantum key distribution (QKD) could revolutionise how information exchange is protected in the future. Several field tests of QKD have proven it to be a reliable technology for cryptographic key exchange and have demonstrated nodal networks of point-to-point links. However, so far no convincing answer has been given to the question of how to extend the scope of QKD beyond niche applications in dedicated high security networks. Here we show that adopting simple and cost-effective telecommunication technologies to form a quantum access network can greatly expand the number of users in quantum networks and therefore vastly broaden their appeal. We are able to demonstrate that a high-speed single-photon detector positioned at a network node can be shared between up to 64 users for exchanging secret keys with the node, thereby significantly reducing the hardware requirements for each user added to the network. This point-to-multipoint architecture removes one of the main obstacles restricting the widespread application of QKD. It presents a viable method for realising multi-user QKD networks with resource efficiency and brings QKD closer to becoming the first widespread technology based on quantum physics.

  15. Connectivity in the Yeast Cell Cycle Transcription Network: Inferences from Neural Networks

    E-Print Network [OSTI]

    Hart, Christopher E; Mjolsness, Eric; Wold, Barbara J

    2006-01-01

    Issue 12 | e169 Neural Network Model of Yeast Transcription27. Bishop C (1995) Neural networks for pattern recognition.Network: Inferences from Neural Networks Christopher E. Hart

  16. Caterpillar Research

    Broader source: Energy.gov [DOE]

    Presentation given at the 2007 Diesel Engine-Efficiency & Emissions Research Conference (DEER 2007). 13-16 August, 2007, Detroit, Michigan. Sponsored by the U.S. Department of Energy's (DOE) Office of FreedomCAR and Vehicle Technologies (OFCVT).

  17. Research Associate (Limited Term) Faculty/Division: Faculty of Applied Science & Engineering

    E-Print Network [OSTI]

    applications, including carbon sequestration, fuel cells, and electrolyzers. The main component of this research will be pore network modelling of carbon sequestration processes. The Research Associate will work related to carbon dioxide sequestration, fuel cells and electrolyzers, it is indispensable

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

    E-Print Network [OSTI]

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

  19. Thermal network reduction

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1983-01-01

    A method is presented for reducing the number of elements required in a thermal network representation of a building. The method is based on matching the actual building response at two frequencies, the diurnal response and 3-day response. The procedure provides a straightforward methodology for combining all the various materials inside a discrete building zone into a few nodes while retaining a high degree of accuracy in the dynamic response. An example is given showing a comparison between a large network and the reduced network.

  20. Thermal network reduction

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1983-06-01

    A method is presented for reducing the number of elements required in a thermal network representation of a building. The method is based on matching the actual building response at two frequencies, the diurnal response and 3-day response. The procedure provides a straightforward methodology for combining all the various materials inside a discrete building zone into a few nodes while retaining a high degree of accuracy in the dynamic response. An example is given showing a comparison between a large network and the reduced network.

  1. Houston LDAR II network: design, operation, and performance analysis 

    E-Print Network [OSTI]

    Ely, Brandon Lee

    2008-10-10

    antenna’s minimum detectable signal in dBm. ……………….……... 46 5.9 Example showing the method of integration used to estimate network detection efficiency. ………………………...……………………….. 49 6.1 Histograms of c2 values for 6, 7 & 8 sensor solutions fitted...-to-ground and intracloud) structure of thunderstorms and evolution in time. In addition, the Houston LDAR network’s location opens researchers to the opportunity to study the lightning structure of a wide variety of storm types from mesoscale convective systems (MCSs...

  2. Network Science: From the Web to Human Diseases

    SciTech Connect (OSTI)

    Barabasi, Albert-Laszlo

    2008-06-09

    Systems as diverse as the world wide web, Internet or the cell are described by highly interconnected networks with amazingly complex topology. Recent studies indicate that the evolution of these complex networks is governed by simple but generic laws, resulting in apparently universal architectural features. I will discuss this amazing order characterizing our interconnected work, and its implications to how we perceive the impact on communications and medicine, as well as touch upon the next challenge of network research, going beyond the structure and quantifying the dynamics of interconnected systems.

  3. Mechanical Response of Cytoskeletal Networks

    E-Print Network [OSTI]

    Gardel, Margaret

    CHAPTER 19 Mechanical Response of Cytoskeletal Networks Margaret L. Gardel,* Karen E. Kasza, Cli Fluctuation Approaches B. In Vitro MT Networks C. Mechanics of Microtubules in Cells V. Intermediate Filament Networks A. Introduction B. Mechanics of IFs C. Mechanics of Networks VI. Conclusions and Outlook

  4. Network computing : limits and achievability

    E-Print Network [OSTI]

    Karamchandani, Nikhil

    2011-01-01

    wireless sensor networks (WSN). Data measurements (such asnetworking protocols for WSN is hard [24], therefore

  5. CLIMATE NETWORKS The Azimuth Project

    E-Print Network [OSTI]

    Baez, John

    CLIMATE NETWORKS The Azimuth Project John Baez, Jan Galkowski, Graham Jones, Nadja Kutz, Daniel: The network of global corporate control #12;In Complex Networks in Climate Dynamics, Donges et al took daily Networks in Climate Dynamics, Donges et al took daily surface air temperatures on a grid and computed

  6. Mesoscale Analyses of Fungal Networks

    E-Print Network [OSTI]

    Lee, Sang Hoon; Porter, Mason A

    2014-01-01

    We give a brief application of mesoscopic response functions (MRFs) to a large set of networks of fungi and slime moulds. We construct "structural networks" by estimating cord conductances (which yield edge weights) from experimental data and "functional networks" by calculating edge weights based on how much nutrient traffic is predicted to occur on each edge. Both types of networks have the same topology, and we compute MRFs for both families of networks to illustrate two different ways of constructing taxonomies to compare large sets of fungal and slime-mould networks to each other. We demonstrate that network taxonomies allow objective groupings of networks across species, treatments, and laboratories. We believe that the groupings that we have derived through our structural and functional taxonomic analyses of fungal networks could be of considerable assistance to biologists in their attempts to capture the impact of treatment combinations on network behaviour.

  7. Precision Irrigators Network 

    E-Print Network [OSTI]

    Bynum, J.; Cothren, T.; Marek, T.; Piccinni, G.

    2007-01-01

    conservation including an "Agricultural Irrigation Water Use Management" BMPs section. The full TWDB Report 362 can be found at: http://www.twdb.state.tx.us/assistance/conservation/consindex.asp. DSS include the Texas High Plains Evapotranspiration Network...

  8. Guest Editorial Overlay networks

    E-Print Network [OSTI]

    Touch, Joe

    of house or to selected business partners. VNs are often distinguished by their use of tunnels, enS-based overlay networks. It virtualizes routers to deploy a virtual backbone with translation gateways to convert

  9. BES Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01

    the Directors of the Office of Science, Office of AdvancedOffice of Basic Energy Sciences. This is LBNL report LBNL-BES Science Network Requirements Report of the Basic Energy

  10. Network medicine Tony Pawsona

    E-Print Network [OSTI]

    strategies can be imple- mented. Transforming medicine into a network driven endeavour will require development. The average price of bringing a drug to market is now approximately 860M USD [1

  11. Computer Systems Network Programming"

    E-Print Network [OSTI]

    /out of the house! Socket as an Application Programming Interface! n Supports the creation of network applications (e.g., render a Web page)! Close the socket! ­ 12 ­! Servers Differ From Clients" Passive open! n

  12. Wireless Network Esercitazioni

    E-Print Network [OSTI]

    Lo Cigno, Renato Antonio

    Wireless Network Esercitazioni Alessandro Villani avillani@science.unitn.it #12;WEP Cracking #12 (Nomina sunt consequentia rerum) quello di fornire sul canale wireless un livello di sicurezza equivalente

  13. Systematic wireless network coding

    E-Print Network [OSTI]

    Shrader, Brooke E.

    We present a systematic network coding strategy for cooperative communication, in which some nodes may replicate-and-forward packets in addition to sending random linear combinations of the packets. We argue that if this ...

  14. Wireless Network Esercitazioni

    E-Print Network [OSTI]

    Lo Cigno, Renato Antonio

    Wireless Network Esercitazioni Alessandro Villani avillani@science.unitn.it #12;Wireless Router WRT54G LINKSYS #12;WRT54G È un router Wireless: 1 porta Ethernet verso la LAN esterna 4 porte Ethernet

  15. Classification of Message Spreading in a Heterogeneous Social Network

    E-Print Network [OSTI]

    Jendoubi, Siwar; Liétard, Ludovic; Yaghlane, Boutheina Ben

    2015-01-01

    Nowadays, social networks such as Twitter, Facebook and LinkedIn become increasingly popular. In fact, they introduced new habits, new ways of communication and they collect every day several information that have different sources. Most existing research works fo-cus on the analysis of homogeneous social networks, i.e. we have a single type of node and link in the network. However, in the real world, social networks offer several types of nodes and links. Hence, with a view to preserve as much information as possible, it is important to consider so-cial networks as heterogeneous and uncertain. The goal of our paper is to classify the social message based on its spreading in the network and the theory of belief functions. The proposed classifier interprets the spread of messages on the network, crossed paths and types of links. We tested our classifier on a real word network that we collected from Twitter, and our experiments show the performance of our belief classifier.

  16. Data Network Equipment Energy Use and Savings Potential in Buildings

    SciTech Connect (OSTI)

    Lanzisera, Steven; Nordman, Bruce; Brown, Richard E.

    2010-06-09

    Network connectivity has become nearly ubiquitous, and the energy use of the equipment required for this connectivity is growing. Network equipment consists of devices that primarily switch and route Internet Protocol (IP) packets from a source to a destination, and this category specifically excludes edge devices like PCs, servers and other sources and sinks of IP traffic. This paper presents the results of a study of network equipment energy use and includes case studies of networks in a campus, a medium commercial building, and a typical home. The total energy use of network equipment is the product of the stock of equipment in use, the power of each device, and their usage patterns. This information was gathered from market research reports, broadband market penetration studies, field metering, and interviews with network administrators and service providers. We estimate that network equipment in the USA used 18 TWh, or about 1percent of building electricity, in 2008 and that consumption is expected to grow at roughly 6percent per year to 23 TWh in 2012; world usage in 2008 was 51 TWh. This study shows that office building network switches and residential equipment are the two largest categories of energy use consuming 40percent and 30percent of the total respectively. We estimate potential energy savings for different scenarios using forecasts of equipment stock and energy use, and savings estimates range from 20percent to 50percent based on full market penetration of efficient technologies.

  17. Identifying Geographic Clusters: A Network Analytic Approach

    E-Print Network [OSTI]

    Catini, Roberto; Penner, Orion; Riccaboni, Massimo

    2015-01-01

    In recent years there has been a growing interest in the role of networks and clusters in the global economy. Despite being a popular research topic in economics, sociology and urban studies, geographical clustering of human activity has often studied been by means of predetermined geographical units such as administrative divisions and metropolitan areas. This approach is intrinsically time invariant and it does not allow one to differentiate between different activities. Our goal in this paper is to present a new methodology for identifying clusters, that can be applied to different empirical settings. We use a graph approach based on k-shell decomposition to analyze world biomedical research clusters based on PubMed scientific publications. We identify research institutions and locate their activities in geographical clusters. Leading areas of scientific production and their top performing research institutions are consistently identified at different geographic scales.

  18. Optimization in Networks

    E-Print Network [OSTI]

    Adilson E. Motter; Zoltan Toroczkai

    2007-07-07

    The recent surge in the network modeling of complex systems has set the stage for a new era in the study of fundamental and applied aspects of optimization in collective behavior. This Focus Issue presents an extended view of the state of the art in this field and includes articles from a large variety of domains where optimization manifests itself, including physical, biological, social, and technological networked systems.

  19. A. Our Research Excellence 4. Research Funding

    E-Print Network [OSTI]

    Zandstra, Peter W.

    A. Our Research Excellence 4. Research Funding Figure f University of Toronto Performance Indicators 2012 Research Funding from Industrial Sources Performance Relevance: The amount of research relationship between the university research community and the private sector. This partnership between

  20. > REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) green-networking is raising

    E-Print Network [OSTI]

    Boyer, Edmond

    - Research in the field of green-networking is raising more and more interest, in particular driven by energy saving purposes. Recent research dealt on one hand to design new mechanisms to reduce the energy consumed in a network device and a second to establish protocols which take into account the energy profile

  1. Research Opportunities

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

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

  2. Research Techniques

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

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

  3. Research Tools

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

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

  4. Research | NREL

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

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

  5. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan Mei Wang Yan MeiResearch

  6. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan Mei Wang Yan MeiResearchFog and

  7. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan Mei Wang Yan MeiResearchFog

  8. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan Mei Wang Yan MeiResearchFogThe

  9. Research Gallery

    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) by Carbon-RichProtonAboutNuclearPrincipalResearchResearch Finds

  10. Research Groups

    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) by Carbon-RichProtonAboutNuclearPrincipalResearchResearch

  11. The Tenet Architecture for Tiered Sensor Networks

    E-Print Network [OSTI]

    2006-01-01

    a sensor network architecture: Lowering the waistline. InJ. Hill et al. System architecture directions for networkThe Tenet Architecture for Tiered Sensor Networks Omprakash

  12. Misbehavior in a Neural Network Model

    E-Print Network [OSTI]

    Burgos, José E

    2015-01-01

    Rodríguez, E. (2007). Neural-network simulations of twodiscipline of will. Neural Networks, 19, 1153–1160. http://E. R. Staddon (Eds. ), Neural network models of conditioning

  13. Solos (Dice Game) and Conductor (Neural Network)

    E-Print Network [OSTI]

    Marquetti, Andre

    2015-01-01

    vice versa). Figure 6.1 Neural Network keyboard input styleamplitude, pitch-class, neural network key patterns dependconvergence with the neural network does not depend on the

  14. Detecting Network Vulnerabilities Through Graph Theoretical Methods

    E-Print Network [OSTI]

    2007-01-01

    Introduction The electric power grid network is susceptibleProblem We model electric power grid networks as undirectedlines in the electric power grid network. Because of the

  15. Research Councils UK Research funded by the

    E-Print Network [OSTI]

    Crowther, Paul

    Research Councils UK RCUK and big data #12;Research funded by the Research Councils makes a vital innovation and deliver impact from research, including the development of collaborative research programmes, investment in major research capabilities, such as national research facilities, and the support of impact

  16. YORK RESEARCH Principles Guiding Research at York & Strategic Research Plan

    E-Print Network [OSTI]

    YORK RESEARCH Principles Guiding Research at York & Strategic Research Plan (Approved at Senate, June 2001) The Senate Committee on Research recommends and APPC concurs that Senate approve the following principles guiding research, which are intended to underpin the Strategic Research Plan for York

  17. High-speed and high-fidelity system and method for collecting network traffic

    DOE Patents [OSTI]

    Weigle, Eric H. (Los Alamos, NM)

    2010-08-24

    A system is provided for the high-speed and high-fidelity collection of network traffic. The system can collect traffic at gigabit-per-second (Gbps) speeds, scale to terabit-per-second (Tbps) speeds, and support additional functions such as real-time network intrusion detection. The present system uses a dedicated operating system for traffic collection to maximize efficiency, scalability, and performance. A scalable infrastructure and apparatus for the present system is provided by splitting the work performed on one host onto multiple hosts. The present system simultaneously addresses the issues of scalability, performance, cost, and adaptability with respect to network monitoring, collection, and other network tasks. In addition to high-speed and high-fidelity network collection, the present system provides a flexible infrastructure to perform virtually any function at high speeds such as real-time network intrusion detection and wide-area network emulation for research purposes.

  18. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates

  19. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research

  20. 168 Int. J. Sensor Networks, Vol. 14, No. 3, 2013 Copyright 2013 Inderscience Enterprises Ltd.

    E-Print Network [OSTI]

    Cao, Longbing

    TCTM perspective. We foresee the influence of evolving technology to futuristic architecture design. We, University of Technology, Sydney Australia. His research interests are wireless sensor network architecture. TCTM: an evaluation framework for architecture design on wireless sensor networks Dong Yu* Advanced

  1. Real-time Control of a Tokamak Plasma Using Neural Networks

    E-Print Network [OSTI]

    Bishop, Christopher M.

    Real-time Control of a Tokamak Plasma Using Neural Networks Christopher M. Bishop , Paul S. Haynes of neural networks for real-time control of the high temperature plasma in a tokamak fusion experiment. The tokamak is currently the principal experimental device for research into the magnetic confinement approach

  2. Methods for measuring work surface illuminance in adaptive solid state lighting networks

    E-Print Network [OSTI]

    Methods for measuring work surface illuminance in adaptive solid state lighting networks Byungkun, MA 02139, USA ABSTRACT The inherent control flexibility implied by solid-state lighting ­ united with the rich details offered by sensor networks ­ prompts us to rethink lighting control. In this research, we

  3. CX: A Scalable, Robust Network for Parallel Peter Cappello and Dimitrios Mourloukos

    E-Print Network [OSTI]

    Cappello, Peter

    CX: A Scalable, Robust Network for Parallel Computing Peter Cappello and Dimitrios Mourloukos}@cs.ucsb.edu telephone: 805.893.4383; fax: 805.893.853 Abstract CX, a network-based computational exchange, is presented "diffusion" process. CX is intended as a test bed for research on automated silent auctions, reputation

  4. CX: A Scalable, Robust Network for Parallel Peter Cappello and Dimitrios Mourloukos

    E-Print Network [OSTI]

    Cappello, Peter

    CX: A Scalable, Robust Network for Parallel Computing Peter Cappello and Dimitrios Mourloukos}@cs.ucsb.edu telephone: 805.893.4383; fax: 805.893.853 Abstract CX, a network­based computational exchange, is presented#usion'' process. CX is intended as a test bed for research on automated silent auctions, reputation services

  5. Outage Detection in Power Distribution Networks with Optimally-Deployed Power Flow Sensors

    E-Print Network [OSTI]

    Zhao, Yue

    distribution networks. As society becomes more dependent on electric power, the economic and societal costs due sensor at the substation [2]. In networks This research was supported in part by the DTRA under Grant a single digital transient recording device at the substation, fault location and diagnosis systems have

  6. Internet TV: Implications for the long distance network A. M. Odlyzko

    E-Print Network [OSTI]

    Odlyzko, Andrew M.

    Internet TV: Implications for the long distance network A. M. Odlyzko AT&T Labs - Research amo TV to the Internet is likely to have little impact on the long distance network. The main reason of Internet backbones far beyond that required to carry all the broadcast TV signals. There will continue

  7. A Scalable On-Line Multilevel Distributed Network Fault Detectioflonitoring System Based on the SNMP Protocol

    E-Print Network [OSTI]

    Thulsiraman, Krishnaiyan

    in this paper has been motivated by this research trend In network management. We present the design as NMS nodes with dual roles - manager and agent - and to balance loads and to avoid traffic congestion@sosu.edu thulasi@ou.edu London, Ontano,Canada N6A 5B9 Abstract-Traditional centralized network management solutions

  8. A Study on Energy Harvesting Aware Routing for Vibration-Motivated Wireless Sensor Networks

    E-Print Network [OSTI]

    Lim, Sunho

    A Study on Energy Harvesting Aware Routing for Vibration-Motivated Wireless Sensor Networks TTU an electrical energy from various environmental sources, called energy harvesting (or energy scavenging), has been an issue and attracting researchers' attention in energy replenishable networks. In par- ticular

  9. Reflectivity retrieval in a networked radar environment: Demonstration from the CASA IP1

    E-Print Network [OSTI]

    Jayasumana, Anura P.

    using data from the first Integration Project (IP1) radar network in Oklahoma. Electromagnetic waves, the lowest coverage altitude gets higher with range due to earth curvature [1]. A networked radar environment is capable of high spatial coverage and temporal resolution. The Engineering Research Center for CASA

  10. Interactions between organizations and networks in common-pool resource governance

    E-Print Network [OSTI]

    Brown, Daniel G.

    of Natural Resources and Environment, University of Michigan, 440 Church Street, Ann Arbor, MI 48109 resources Network effects Institutions Community forests Agent based models a b s t r a c t Research vs. self-organized informal network norms, and 2) the effects of these differences on resources

  11. Wireless Sensor Networks Powered by Ambient Energy Harvesting (WSN-HEAP) Survey and

    E-Print Network [OSTI]

    Shihada, Basem

    Wireless Sensor Networks Powered by Ambient Energy Harvesting (WSN-HEAP) ­ Survey and Challenges networks (WSNs) research has pre- dominantly assumed the use of a portable and limited energy source, viz. batteries, to power sensors. Without energy, a sensor is essentially useless and cannot contribute

  12. SecSens -Security Architecture for Wireless Sensor Networks Faruk Bagci, Theo Ungerer

    E-Print Network [OSTI]

    Ungerer, Theo

    of sensor boards. Keywords: wireless sensor network, security architec- ture, energy efficiency, multi between nodes enhances communication flexibility. Generally, sensor nodes have limited energy and re not be transferred to sensor networks. In recent years, the research was mainly focused on issues related to energy

  13. Stackelberg Game for Distributed Resource Allocation over Multiuser Cooperative Communication Networks

    E-Print Network [OSTI]

    Liu, K. J. Ray

    . The energy-efficient transmission was consid- ered for broadcast networks in [4]. [5] considered the design Networks Beibei Wang, Zhu Han, and K. J. Ray Liu Department of Electrical and Computer Engineering and Institute for Systems Research, University of Maryland, College Park, MD 20742, USA Department of Electrical

  14. Network topology mapper

    DOE Patents [OSTI]

    Quist, Daniel A. (Los Alamos, NM); Gavrilov, Eugene M. (Los Alamos, NM); Fisk, Michael E. (Jemez, NM)

    2008-01-15

    A method enables the topology of an acyclic fully propagated network to be discovered. A list of switches that comprise the network is formed and the MAC address cache for each one of the switches is determined. For each pair of switches, from the MAC address caches the remaining switches that see the pair of switches are located. For each pair of switches the remaining switches are determined that see one of the pair of switches on a first port and the second one of the pair of switches on a second port. A list of insiders is formed for every pair of switches. It is determined whether the insider for each pair of switches is a graph edge and adjacent ones of the graph edges are determined. A symmetric adjacency matrix is formed from the graph edges to represent the topology of the data link network.

  15. Evolving Complex Networks: The Backbone of the Climate Network

    E-Print Network [OSTI]

    Maryland at College Park, University of

    · Network topology changes due to natural dynamics (internal, external) #12;#12;Strong El Nino event #12;Our

  16. JOURNAL OF GEOPHYSICAL RESEARCH, VOL. ???, XXXX, DOI:10.1029/, Pore pressure evolution in deforming granular1

    E-Print Network [OSTI]

    Toussaint, Renaud

    JOURNAL OF GEOPHYSICAL RESEARCH, VOL. ???, XXXX, DOI:10.1029/, Pore pressure evolution in deforming. Often deformation of the granular network leads to pore fluid8 pressure (PP) changes. If the PP rises coupling6 between two deforming phases: the solid granular network and the fluid-filled7 pore network

  17. Research and Development with Full Scale Research 

    E-Print Network [OSTI]

    Sijpheer, N.; Bakker, E.J.; Opstelten, I.

    2010-01-01

    One of the research programs of the Energy research Centre of the Netherlands (ECN) concerns the built environment. Several facilities to conduct the research activities are at ECN's disposal. One of these facilities, are five research dwellings...

  18. A. Our Research Excellence 4. Research Funding

    E-Print Network [OSTI]

    Zandstra, Peter W.

    A. Our Research Excellence 4. Research Funding Figure e University of Toronto Performance Indicators 2012 Canada Foundation for Innovation Performance Relevance: Research funding from the Federal by an institution's faculty members relative to its peers to support research infrastructure allocated

  19. Maximizing Static Network Lifetime of Wireless Broadcast Adhoc Networks

    E-Print Network [OSTI]

    Poovendran, Radha

    of the important applications of wireless static adhoc net- works includes wireless sensor networks. The technology- cast routing over wireless static adhoc network where host mobility is not involved. We define the lifetime of a network as the dura- tion of time until the first node failure due to battery depletion. We

  20. Tidal networks 2. Watershed delineation and comparative network morphology

    E-Print Network [OSTI]

    Fagherazzi, Sergio

    of three, we quantify various tidal network properties including common power law relationships which have common power law relationships quantified for terrestrial systems to tidal systems and use these analysesTidal networks 2. Watershed delineation and comparative network morphology Andrea Rinaldo,1 Sergio

  1. 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

  2. Cooperative Diversity Routing in Wireless Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Cooperative Diversity Routing in Wireless Networks Mostafa Dehghan and Majid Ghaderi Department routing, cooperative commu- nication, cooperative diversity, wireless networks. I. INTRODUCTION Energy efficiency is a challenging problem in wireless networks, especially in ad hoc and sensor networks, where

  3. Collaborative Firewalling in Wireless Networks Mahmoud Taghizadeh

    E-Print Network [OSTI]

    Liu, Alex X.

    Collaborative Firewalling in Wireless Networks Mahmoud Taghizadeh Department of ECE Michigan State elements to enforce access policies in computer networks. Open network architecture, shared wireless medium for wireless networks in which nodes collaboratively perform packet filtering to address resource squandering

  4. Network coding for speedup in switches

    E-Print Network [OSTI]

    Kim, MinJi, M. Eng. Massachusetts Institute of Technology

    2007-01-01

    Network coding, which allows mixing of data at intermediate network nodes, is known to increase the throughput of networks. In particular, it is known that linear network coding in a crossbar switch can sustain traffic ...

  5. UNLV RESEARCH MISCONDUCT POLICY Policy: Research Misconduct

    E-Print Network [OSTI]

    Walker, Lawrence R.

    of truth. The reputation of academic research (and researchers) must be above reproach if the new knowledge

  6. Mining customer credit by using neural network model with logistic regression approach 

    E-Print Network [OSTI]

    Kao, Ling-Jing

    2001-01-01

    . The objective of this research was to investigate the methodologies to mine customer credit history for the bank industry. Particularly, combination of logistic regression model and neural network technique are proposed to determine if the predictive capability...

  7. Application of Smart Card fare payment data to bus network planning in London, UK

    E-Print Network [OSTI]

    Seaborn, Catherine Whitney

    2008-01-01

    This research contributes to an emerging body of literature on the application of smart card data to public transportation planning. It also addresses interchange planning, a key component of public transportation network ...

  8. Cost minimization in multi?commodity multi?mode generalized networks with time windows 

    E-Print Network [OSTI]

    Chen, Ping-Shun

    2007-04-25

    The purpose of this research is to develop a heuristic algorithm to minimize total costs in multi-commodity, multi-mode generalized networks with time windows problems. The proposed mathematical model incorporates features ...

  9. Control of real-time multimedia applications in best-effort networks 

    E-Print Network [OSTI]

    Ye, Dan

    2009-05-15

    The increasing demand for real-time multimedia applications and the lack of quality of service (QoS) support in public best-effort or Internet Protocol (IP) networks has prompted many researchers to propose improvements ...

  10. Network Formation in Carbon Nanotube Composites: Understanding the Impact of a Thermosetting Matrix

    E-Print Network [OSTI]

    Fisher, Frank

    how the curing process affects network formation and contrast this behavior with previous results studied using processing data, rheological studies, electrical properties, and thermomechanical properties's polymer nanocomposite research at Georgia Tech has been recognized with the Solvay Advanced Polymers Young

  11. Impact of Information Loss and Information Error on Network-enabled Decision-making

    E-Print Network [OSTI]

    by the Network Science Collaborative Technology Alliance: No. W911NF08R0013 from the Army Research Lab.................................................................... 2 1.1.2 Scenario Two ­ Deepwater Horizon oil spill (pre

  12. Methods for measuring work surface illuminance in adaptive solid state lighting networks

    E-Print Network [OSTI]

    Lee, Byungkun

    The inherent control flexibility implied by solid-state lighting - united with the rich details offered by sensor networks - prompts us to rethink lighting control. In this research, we propose several techniques for ...

  13. Network Computing Munindar P. Singh \\Lambda and Mladen A. Vouk y

    E-Print Network [OSTI]

    Network Computing Munindar P. Singh \\Lambda and Mladen A. Vouk y Department of Computer Science singh@ncsu.edu, vouk@csc.ncsu.edu \\Lambda Munindar Singh's research is partially supported by the NCSU

  14. The SegHidro Experience: Using the Grid to Empower a Hydro-Meteorological Scientific Network

    E-Print Network [OSTI]

    Cirne, Walfredo

    The SegHidro Experience: Using the Grid to Empower a Hydro- Meteorological Scientific Network This paper describes our experience with SegHidro, a project that empowers hydro-meteorological researchers

  15. Towards secure multiresolution network coding

    E-Print Network [OSTI]

    Medard, Muriel

    Emerging practical schemes indicate that algebraic mixing of different packets by means of random linear network coding can increase the throughput and robustness of streaming services over wireless networks. However, ...

  16. Network coding for anonymous broadcast

    E-Print Network [OSTI]

    Sergeev, Ivan A

    2013-01-01

    This thesis explores the use of network coding for anonymous broadcast. Network coding, the technique of transmitting or storing mixtures of messages rather than individual messages, can provide anonymity with its mixing ...

  17. Intervention in gene regulatory networks 

    E-Print Network [OSTI]

    Choudhary, Ashish

    2006-10-30

    In recent years Boolean Networks (BN) and Probabilistic Boolean Networks (PBN) have become popular paradigms for modeling gene regulation. A PBN is a collection of BNs in which the gene state vector transitions according to the rules of one...

  18. The Future of Network Neutrality

    E-Print Network [OSTI]

    Guttentag, Mikhail

    2009-01-01

    Internet, “the fastest growing communications network in history, [The Internet is the most open network in history. We have towell as its history seen through two major ideas of Internet

  19. forDiscovery Virginia Tech Research CenterArlington

    E-Print Network [OSTI]

    . The new Virginia Tech Research Center ­ Arlington will serve as a nucleus for discovery in expanding the university's capability for new scientific inquiry, extending Virginia Tech's footprint in the NationalNucleusA forDiscovery Virginia Tech Research Center­Arlington #12;With its advanced network

  20. Handbook of Research on P2P and Grid Systems

    E-Print Network [OSTI]

    Buyya, Rajkumar

    Handbook of Research on P2P and Grid Systems for Service-Oriented Computing: Models, Methodologies of the trademark or registered trademark. Library of Congress Cataloging-in-Publication Data Handbook of research (Computer networks)--Handbooks, manuals, etc. 2. Computational grids (Computer systems)--Handbooks, manuals

  1. Spectral Decomposition of Signaling Networks

    E-Print Network [OSTI]

    2006-01-01

    expressed. Signaling networks modeled as Petri nets are onenetwork. Although the results are limited to the Petri net

  2. Optimal synchronization of complex networks

    E-Print Network [OSTI]

    Per Sebastian Skardal; Dane Taylor; Jie Sun

    2014-10-17

    We study optimal synchronization in networks of heterogeneous phase oscillators. Our main result is the derivation of a synchrony alignment function that encodes the interplay between network structure and oscillators' frequencies and can be readily optimized. We highlight its utility in two general problems: constrained frequency allocation and network design. In general, we find that synchronization is promoted by strong alignments between frequencies and the dominant Laplacian eigenvectors, as well as a matching between the heterogeneity of frequencies and network structure.

  3. PNNL: 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 of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you notHeatMaRIEdioxideUser Careers/Research Team MorrisSearch

  4. Research Areas

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

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

  5. Research Highlight

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

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

  6. Research Highlight

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

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

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

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

  8. Research Highlights

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

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

  9. Research Library

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

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

  10. Research | JCESR

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

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

  11. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation's ImpactInvisible Giants

  12. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation's ImpactInvisible GiantsInitial

  13. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation's ImpactInvisible GiantsInitialMost

  14. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation's ImpactInvisible

  15. Research Highlight

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation's ImpactInvisibleImproving Estimates

  16. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation's ImpactInvisibleImproving

  17. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation's ImpactInvisibleImprovingArctic

  18. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation's

  19. Research Highlight

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation'sRetrieving Thermodynamic Profiles in

  20. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation'sRetrieving Thermodynamic Profiles

  1. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation'sRetrieving Thermodynamic

  2. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation'sRetrieving ThermodynamicTurbulent

  3. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation'sRetrieving

  4. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation'sRetrievingArctic Multilayered

  5. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation'sRetrievingArctic MultilayeredThe

  6. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation'sRetrievingArctic MultilayeredTheMBL

  7. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation'sRetrievingArctic MultilayeredTheMBLA

  8. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation'sRetrievingArctic

  9. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation'sRetrievingArcticMBL Aerosol

  10. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation'sRetrievingArcticMBL AerosolThe

  11. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation'sRetrievingArcticMBL

  12. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation'sRetrievingArcticMBLComparison of

  13. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates ResearchToIrrigation'sRetrievingArcticMBLComparison

  14. Research Facility,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan Mei Wang Yan Mei and Delivering

  15. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan Mei Wang Yan

  16. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan Mei Wang YanImportance of Small

  17. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan Mei Wang YanImportance of

  18. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan Mei Wang YanImportance ofAn

  19. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan Mei Wang YanImportance

  20. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan Mei Wang YanImportanceIntegrated

  1. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan Mei Wang

  2. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan Mei WangCloud Observations at

  3. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan Mei WangCloud Observations atARM

  4. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan Mei WangCloud Observations

  5. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan Mei WangCloud

  6. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan Mei WangCloudObservational

  7. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan Mei WangCloudObservationalA

  8. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan Mei

  9. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRaman Lidar Observations of

  10. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRaman Lidar Observations

  11. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRaman Lidar

  12. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRaman LidarMineral Dust

  13. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRaman LidarMineral

  14. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRaman LidarMineralCan

  15. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRaman LidarMineralCanStudy

  16. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRaman LidarMineralCanStudyA

  17. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRaman

  18. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRamanUse of ARM Products in

  19. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRamanUse of ARM Products inA

  20. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRamanUse of ARM Products

  1. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRamanUse of ARM ProductsCloud

  2. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRamanUse of ARM

  3. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRamanUse of ARMSub-Grid Scale

  4. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRamanUse of ARMSub-Grid

  5. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRamanUse of

  6. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRamanUse ofTheoretical

  7. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRamanUse

  8. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRamanUseInfluence of Dust

  9. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRamanUseInfluence of

  10. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRamanUseInfluence ofThe

  11. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRamanUseInfluence

  12. Research Highlight

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRamanUseInfluenceARM Science

  13. Research Highlight

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRamanUseInfluenceARM Sciencea

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRamanUseInfluenceARM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan MeiRamanUseInfluenceARMOptical

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates Yan

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates YanImproving Convection

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates YanImproving ConvectionCloud Regimes

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates YanImproving ConvectionCloud

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 WinnersAffiliates Research Affiliates YanImproving