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Sample records for 100gbps science network

  1. 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...

  2. Scaling the Earth System Grid to 100Gbps Networks

    SciTech Connect (OSTI)

    Balman, Mehmet; Sim, Alex

    2012-03-02

    The SC11 demonstration, titled Scaling the Earth System Grid to 100Gbps Networks, showed the ability to use underlying infrastructure for the movement of climate data over 100Gbps network. Climate change research is one of the critical data intensive sciences, and the amount of data is continuously growing. Climate simulation data is geographically distributed over the world, and it needs to be accessed from many sources for fast and efficient analysis and inter-comparison of simulations. We used a 100Gbps link connecting National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory (LBNL), Argonne National Laboratory (ANL) and Oak Ridge National Laboratory (ORNL). In the demo, the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4) phase 3 of the Coupled Model Intercomparison Project (CMIP-3) dataset was staged into the memory of computing nodes at ANL and ORNL from NERSC over the 100Gbps network for analysis and visualization. In general, climate simulation data consists of relatively small and large files with irregular file size distribution in each dataset. In this demo, we addressed challenges on data management in terms of high bandwidth networks, usability of existing protocols and middleware tools, and how applications can adapt and benefit from next generation networks.

  3. 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

  4. Streaming Exascale Data over 100Gbps Networks

    E-Print Network [OSTI]

    Balman, Mehmet

    2014-01-01

    Network   Initiative   (ANI 1 )   supported   by   the  As   a   part   of   the   ANI   project,   ESnet 2  and  In  addition,  the  ANI  project  also  includes  a  

  5. MemzNet: Memory-Mapped Zero-copy Network Channel for Moving Large Datasets over 100Gbps Network

    E-Print Network [OSTI]

    Balman, Mehmet

    2014-01-01

    the Advance Network Initiative (ANI 1 ) project, ESnet 2 andin Tennessee. In addition, the ANI project also includes aNational Laboratory. The ANI Testbed 7 has been available to

  6. 100Gbps Science Network | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0GrantsThe Life of Enrico FermiU.S.Resources

  7. NERSC Now Connecting All Science at 100Gbps

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesof Energy Moving Basic EnergyAwards NERSCScience

  8. Analyzing Data Movements and Identifying Techniques for Next-generation High-bandwidth Networks

    E-Print Network [OSTI]

    Balman, Mehmet

    2014-01-01

    compared it with GridFTP in the ANI 100Gbps demo at SC11. Innetwork-bandwidth. In the ANI (Advanced Network Initiative)83Gbps total throughput in the ANI 100Gbps connection from

  9. New 100Gbps Network Will Keep America on Cutting Edge of Innovation |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann JacksonDepartment ofOffice|in the subsurface is better6, 2015 2:00PM

  10. 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

  11. 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.

  12. 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

  13. Fusion Energy Sciences Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2014-01-01

    Division, and the Office of Fusion Energy Sciences. This isFusion Energy Sciences NetworkRequirements Office of Fusion Energy Sciences Energy

  14. 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.

  15. Science-Driven 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 ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque| StanfordOffice of Science (SC)Science-Driven Network

  16. BER Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01

    of Energy, Office of Science, Office of Advanced Scientificthe Directors of the Office of Science, Office of Advanced5 Simulation Data Key Remote Science Drivers Instruments and

  17. BES Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01

    21 Neutron Scattering Science User Facilities atlight source facilities, neutron scattering facilities, andup to 40Gbps 7 Neutron Scattering Science User Facilities at

  18. Smithsonian Marine Science Network Michael A. Lang

    E-Print Network [OSTI]

    Miller, Scott

    1 Smithsonian Marine Science Network Michael A. Lang January 2010 Smithsonian Office of the Under Secretary for Science #12;2 #12;3 The Smithsonian Marine Science Network is a unique array of laboratories of Panama. Smithsonian Marine Science Network www.si.edu/marinescience #12;4 #12;5 Importance Ocean

  19. Networking for the Future of DOE Science

    E-Print Network [OSTI]

    1 Networking for the Future of DOE Science: High Energy Physics / LHC Networking February 26, 2007 National Laboratory wej@es.net, www.es.net #12;2 DOE Office of Science and ESnet ­ the ESnet Mission · "The in high-energy physics, nuclear physics, and fusion energy sciences." (http://www.science.doe.gov) · In FY

  20. BER Science Network Requirements

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

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

  1. BES Science Network Requirements

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

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

  2. ESnet: Advanced Networking for Science

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES Science Network Requirements Report of the Fusion EnergyNetworkN

  3. FES Science Network Requirements - Report of the Fusion Energy Sciences Network Requirements Workshop Conducted March 13 and 14, 2008

    E-Print Network [OSTI]

    Dart, Eli

    2008-01-01

    Division, and the Office of Fusion Energy Sciences.Requirements Report of the Fusion Energy Sciences NetworkRequirements Workshop Fusion Energy Sciences Program Office,

  4. Introduction to Network Science 16 Introduction to Network Science 17

    E-Print Network [OSTI]

    Safro, Ilya

    primary type, s.t. the number of full records is >10000 (don't choose "criminal trespass", remove "noisy" records with no time and coordinate) · Build an undirected network with the following rules · Records

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

    SciTech Connect (OSTI)

    Wen, Jesse

    2013-08-30

    In recent years, network bandwidth requirements have scaled multiple folds, pushing the need for the development of data exchange mechanisms at 100 Gb/s and beyond. High performance computing, climate modeling, large-scale storage, and collaborative scientific research are examples of applications that can greatly benefit by leveraging high bandwidth capabilities of the order of 100 Gb/s. Such requirements and advances in IEEE Ethernet standards, Optical Transport Unit4 (OTU4), and host-system interconnects demand a network infrastructure supporting throughput rates of the order of 100 Gb/s with a single wavelength. To address such a demand Acadia Optronics in collaboration with the University of New Mexico, proposed and developed a end-system Network Interface Controller (NIC) for the 100Gbps WANs. Acadia’s 100G NIC employs an FPGA based system with a high-performance processor interconnect (PCIe 3.0) and a high capacity optical transmission link (CXP) to provide data transmission at the rate of 100 Gbps.

  6. HEP Science Network Requirements--Final Report

    SciTech Connect (OSTI)

    Bakken, Jon; Barczyk, Artur; Blatecky, Alan; Boehnlein, Amber; Carlson, Rich; Chekanov, Sergei; Cotter, Steve; Cottrell, Les; Crawford, Glen; Crawford, Matt; Dart, Eli; Dattoria, Vince; Ernst, Michael; Fisk, Ian; Gardner, Rob; Johnston, Bill; Kent, Steve; Lammel, Stephan; Loken, Stewart; Metzger, Joe; Mount, Richard; Ndousse-Fetter, Thomas; Newman, Harvey; Schopf, Jennifer; Sekine, Yukiko; Stone, Alan; Tierney, Brian; Tull, Craig; Zurawski, Jason

    2010-04-27

    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 August 2009 ESnet and the Office of High Energy Physics (HEP), of the DOE Office of Science, organized a workshop to characterize the networking requirements of the programs funded by HEP. The International HEP community has been a leader in data intensive science from the beginning. HEP data sets have historically been the largest of all scientific data sets, and the communty of interest the most distributed. The HEP community was also the first to embrace Grid technologies. The requirements identified at the workshop are summarized below, and described in more detail in the case studies and the Findings section: (1) There will be more LHC Tier-3 sites than orginally thought, and likely more Tier-2 to Tier-2 traffic than was envisioned. It it not yet known what the impact of this will be on ESnet, but we will need to keep an eye on this traffic. (2) The LHC Tier-1 sites (BNL and FNAL) predict the need for 40-50 Gbps of data movement capacity in 2-5 years, and 100-200 Gbps in 5-10 years for HEP program related traffic. Other key HEP sites include LHC Tier-2 and Tier-3 sites, many of which are located at universities. To support the LHC, ESnet must continue its collaborations with university and international networks. (3) While in all cases the deployed 'raw' network bandwidth must exceed the user requirements in order to meet the data transfer and reliability requirements, network engineering for trans-Atlantic connectivity is more complex than network engineering for intra-US connectivity. This is because transoceanic circuits have lower reliability and longer repair times when compared with land-based circuits. Therefore, trans-Atlantic connectivity requires greater deployed bandwidth and diversity to ensure reliability and service continuity of the user-level required data transfer rates. (4) Trans-Atlantic traffic load and patterns must be monitored, and projections adjusted if necessary. There is currently a shutdown planned for the LHC in 2012 that may affect projections of trans-Atlantic bandwidth requirements. (5) There is a significant need for network tuning and troubleshooting during the establishment of new LHC Tier-2 and Tier-3 facilities. ESnet will work with the HEP community to help new sites effectively use the network. (6) SLAC is building the CCD camera for the LSST. This project will require significant bandwidth (up to 30Gbps) to NCSA over the next few years. (7) The accelerator modeling program at SLAC could require the movement of 1PB simulation data sets from the Leadership Computing Facilities at Argonne and Oak Ridge to SLAC. The data sets would need to be moved overnight, and moving 1PB in eight hours requires more than 300Gbps of throughput. This requirement is dependent on the deployment of analysis capabilities at SLAC, and is about five years away. (8) It is difficult to achieve high data transfer throughput to sites in China. Projects that need to transfer data in or out of China are encouraged to deploy test and measurement infrastructure (e.g. perfSONAR) and allow time for performance tuning.

  7. Neural Networks ( ) Contents lists available at ScienceDirect

    E-Print Network [OSTI]

    Bolton, McLean

    Neural Networks ( ) ­ Contents lists available at ScienceDirect Neural Networks journal homepage of an anatomically realistic neural network in rat vibrissal cortex Stefan Langa,b , Vincent J. Dercksenc , Bert electrical signals that propagate through anatomically realistic models of average neural networks

  8. New York Hall of Science Connections: The Nature of Networks

    E-Print Network [OSTI]

    Short, Daniel

    New York Hall of Science Connections: The Nature of Networks (NSF Award No. 0229268) suzzo of Technology New York Hall of Science Flushing Meadows Corona Park, New York suzzo@nyscience.org +1

  9. Theory VI. Computational Materials Sciences Network (CMSN)

    SciTech Connect (OSTI)

    Zhang, Z Y

    2008-06-25

    The Computational Materials Sciences Network (CMSN) is a virtual center consisting of scientists interested in working together, across organizational and disciplinary boundaries, to formulate and pursue projects that reflect challenging and relevant computational research in the materials sciences. The projects appropriate for this center involve those problems best pursued through broad cooperative efforts, rather than those key problems best tackled by single investigator groups. CMSN operates similarly to the DOE Center of Excellence for the Synthesis and Processing of Advanced Materials, coordinated by George Samara at Sandia. As in the Synthesis and Processing Center, the intent of the modest funding for CMSN is to foster partnering and collective activities. All CMSN proposals undergo external peer review and are judged foremost on the quality and timeliness of the science and also on criteria relevant to the objective of the center, especially concerning a strategy for partnering. More details about CMSN can be found on the CMSN webpages at: http://cmpweb.ameslab.gov/ccms/CMSN-homepage.html.

  10. Neural Networks for Breast Cancer Diagnosis School of Computer Science

    E-Print Network [OSTI]

    Yao, Xin

    Neural Networks for Breast Cancer Diagnosis Xin Yao School of Computer Science The University neural network based approaches to breast cancer diag- nosis, both of which have displayed good general- isation. The first approach is based on evolution- ary artificial neural networks. In this approach

  11. The Science DMZ: A Network Design Pattern for Data-Intensive Science

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Dart, Eli; Rotman, Lauren; Tierney, Brian; Hester, Mary; Zurawski, Jason

    2014-01-01

    The ever-increasing scale of scientific data has become a significant challenge for researchers that rely on networks to interact with remote computing systems and transfer results to collaborators worldwide. Despite the availability of high-capacity connections, scientists struggle with inadequate cyberinfrastructure that cripples data transfer performance, and impedes scientific progress. The Science DMZ paradigm comprises a proven set of network design patterns that collectively address these problems for scientists. We explain the Science DMZ model, including network architecture, system configuration, cybersecurity, and performance tools, that creates an optimized network environment for science. We describe use cases from universities, supercomputing centersmore »and research laboratories, highlighting the effectiveness of the Science DMZ model in diverse operational settings. In all, the Science DMZ model is a solid platform that supports any science workflow, and flexibly accommodates emerging network technologies. As a result, the Science DMZ vastly improves collaboration, accelerating scientific discovery. « less

  12. The Science DMZ: A Network Design Pattern for Data-Intensive Science

    SciTech Connect (OSTI)

    Dart, Eli; Rotman, Lauren; Tierney, Brian; Hester, Mary; Zurawski, Jason

    2013-08-13

    The ever-increasing scale of scientific data has become a significant challenge for researchers that rely on networks to interact with remote computing systems and transfer results to collaborators worldwide. Despite the availability of high-capacity connections, scientists struggle with inadequate cyberinfrastructure that cripples data transfer performance, and impedes scientific progress. The Science DMZ paradigm comprises a proven set of network design patterns that collectively address these problems for scientists. We explain the Science DMZ model, including network architecture, system configuration, cybersecurity, and performance tools, that creates an optimized network environment for science. We describe use cases from universities, supercomputing centers and research laboratories, highlighting the effectiveness of the Science DMZ model in diverse operational settings. In all, the Science DMZ model is a solid platform that supports any science workflow, and flexibly accommodates emerging network technologies. As a result, the Science DMZ vastly improves collaboration, accelerating scientific discovery.

  13. Center for International Earth Science Information Network Columbia University

    E-Print Network [OSTI]

    Columbia University

    Center for International Earth Science Information Network Columbia University CIESIN Data and Information Management Policy CIESIN considers data and information resources to be organizational assets records on the status of all data or information created, developed, or acquired for dissemination

  14. 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

  15. Deep Learning & Neural Networks Graduate School of Information Science

    E-Print Network [OSTI]

    Duh, Kevin

    Deep Learning & Neural Networks Lecture 2 Kevin Duh Graduate School of Information Science Nara Institute of Science and Technology Jan 16, 2014 #12;Today's Topics 1 General Ideas in Deep Learning Motivation for Deep Architectures and why is it hard? Main Breakthrough in 2006: Layer-wise Pre-Training 2

  16. Deep Learning & Neural Networks Graduate School of Information Science

    E-Print Network [OSTI]

    Duh, Kevin

    Deep Learning & Neural Networks Lecture 1 Kevin Duh Graduate School of Information Science Nara Institute of Science and Technology Jan 14, 2014 #12;2/40 #12;3/40 #12;4/40 #12;What is Deep Learning? A family of methods that uses deep architectures to learn high-level feature representations 5/40 #12;What

  17. Network Science http://journals.cambridge.org/NWS

    E-Print Network [OSTI]

    Gill, Jeff

    JEFF GILL Department of Political Science, Department of Biostatistics, and Department of Surgery, USA (e-mail:)jgill@wustl.edu) JOHN R. FREEMAN Department of Political Science, University of Minnesota organizations are not unitary actors, and that they are highly decentralized networks. However, there are two

  18. Networks: Contribution to the Encyclopedia of Science, Technology, and Author: Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    Networks: Contribution to the Encyclopedia of Science, Technology, and Ethics Author: Anna Nagurney our business today. Communication networks enable the transmission of voice, data, information, and transportation and communication networks. Transportation networks provide us with the means of crossing physical

  19. Master in Computer Science Advanced Networking

    E-Print Network [OSTI]

    Lo Cigno, Renato Antonio

    : The exercise is broad and generic, the goal is to test you maturity and understanding of networking employees have full access to the Internet, and both R&D and production (it is a Software Engineering company) make a heavy use of the network. · The company servers must be reachable from the Internet

  20. Nuclear Physics Science Network Requirements Workshop, May 2008 - Final Report

    SciTech Connect (OSTI)

    Tierney, Ed., Brian L; Dart, Ed., Eli; Carlson, Rich; Dattoria, Vince; Ernest, Michael; Hitchcock, Daniel; Johnston, William; Kowalski, Andy; Lauret, Jerome; Maguire, Charles; Olson, Douglas; Purschke, Martin; Rai, Gulshan; Watson, Chip; Vale, Carla

    2008-11-10

    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 of America. 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 May 2008, ESnet and the Nuclear Physics (NP) Program Office of the DOE Office of Science organized a workshop to characterize the networking requirements of the science programs funded by the NP Program Office. Most of the key DOE sites for NP related work will require significant increases in network bandwidth in the 5 year time frame. This includes roughly 40 Gbps for BNL, and 20 Gbps for NERSC. Total transatlantic requirements are on the order of 40 Gbps, and transpacific requirements are on the order of 30 Gbps. Other key sites are Vanderbilt University and MIT, which will need on the order of 20 Gbps bandwidth to support data transfers for the CMS Heavy Ion program. In addition to bandwidth requirements, the workshop emphasized several points in regard to science process and collaboration. One key point is the heavy reliance on Grid tools and infrastructure (both PKI and tools such as GridFTP) by the NP community. The reliance on Grid software is expected to increase in the future. Therefore, continued development and support of Grid software is very important to the NP science community. Another key finding is that scientific productivity is greatly enhanced by easy researcher-local access to instrument data. This is driving the creation of distributed repositories for instrument data at collaborating institutions, along with a corresponding increase in demand for network-based data transfers and the tools to manage those transfers effectively. Network reliability is also becoming more important as there is often a narrow window between data collection and data archiving when transfer and analysis can be done. The instruments do not stop producing data, so extended network outages can result in data loss due to analysis pipeline stalls. Finally, as the scope of collaboration continues to increase, collaboration tools such as audio and video conferencing are becoming ever more critical to the productivity of scientific collaborations.

  1. Network science quantification of resilience demonstrated on the Indian Railways Network

    E-Print Network [OSTI]

    Bhatia, Udit; Kodra, Evan; Ganguly, Auroop R

    2015-01-01

    The structure, interdependence, and fragility of systems ranging from power grids and transportation to ecology, climate, biology and even human communities and the Internet, have been examined through network science. While the response to perturbations has been quantified, recovery strategies for perturbed networks have usually been either discussed conceptually or through anecdotal case studies. Here we develop a network science-based quantitative methods framework for measuring, comparing and interpreting hazard responses and as well as recovery strategies. The framework, motivated by the recently proposed temporal resilience paradigm, is demonstrated with the Indian Railways Network. The methods are demonstrated through the resilience of the network to natural or human-induced hazards and electric grid failure. Simulations inspired by the 2004 Indian Ocean Tsunami and the 2012 North Indian blackout as well as a cyber-physical attack scenario. Multiple metrics are used to generate various recovery strateg...

  2. Indiana University School of Library and Information Science S604/S764 : Information Networks

    E-Print Network [OSTI]

    Indiana University

    Indiana University School of Library and Information Science S604/S764. But what is a network? What types of networks exist? Why are they interesting of Library and Information Science, Indiana University, on November 11, 1996

  3. BER Science Network Requirements Workshop -- July 26-27,2007

    SciTech Connect (OSTI)

    Tierney, Brian L.; Dart, Eli

    2008-02-01

    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 of America. 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 July 2007, ESnet and the Biological and Environmental Research (BER) Program Office of the DOE Office of Science organized a workshop to characterize the networking requirements of the science programs funded by the BER Program Office. These included several large programs and facilities, including Atmospheric Radiation Measurement (ARM) Program and the ARM Climate Research Facility (ACRF), Bioinformatics and Life Sciences Programs, Climate Sciences Programs, the Environmental Molecular Sciences Laboratory at PNNL, the Joint Genome Institute (JGI). National Center for Atmospheric Research (NCAR) also participated in the workshop and contributed a section to this report due to the fact that a large distributed data repository for climate data will be established at NERSC, ORNL and NCAR, and this will have an effect on ESnet. Workshop participants were asked to codify their requirements in a 'case study' format, which summarizes the instruments and facilities necessary for the science and the process by which the science is done, with emphasis on the network services needed and the way in which the network is used. Participants were asked to consider three time scales in their case studies--the near term (immediately and up to 12 months in the future), the medium term (3-5 years in the future), and the long term (greater than 5 years in the future). In addition to achieving its goal of collecting and characterizing the network requirements of the science endeavors funded by the BER Program Office, the workshop emphasized some additional points. These included the need for a future ESnet presence in the Denver area, a desire for ESnet to continue support of collaboration services, and the need for ESnet to support dedicated bandwidth or 'virtual circuit' services. In addition, it is clear that the BER facilities are going to experience significant growth in data production over the next 5 years. The reasons for this vary (model resolution and supercomputer allocations for climate, detector upgrades for EMSL and ARM, sequencing hardware upgrades for JGI), but all indicators point to significant growth in data volumes over the near to medium term. This growth in data volume, combined with the ever-expanding scope of scientific collaboration, will continue to demand ever-increasing bandwidth, reliability and service richness from the networks that support DOE science.

  4. Towards the Science of Network Measurement

    E-Print Network [OSTI]

    Chang, Rocky Kow-Chuen

    17 Devise a measurement method Development of a tool and analysis methods Validation of the method optimization · QoS routing, admission control, channel assignment in WLAN User profiling · Network resource path ­ In-band vs out-of-band ­ Transport/application specific ­ Load-balancing/traffic engineering

  5. The Science DMZ: A Network Design Pattern

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired Solar FuelTechnologyTel: Name:Department ofThe DOEThe31,124Science DMZ:

  6. 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.

  7. The science of global soil change: Networking for our future

    E-Print Network [OSTI]

    Billings, Sharon A.

    2008-04-01

    Eos, Vol. 89, No. 16, 15 April 2008 Some of the most important scientific ques- tions today concern the future of Earth’s soil. Understanding the biological, ecological, chemical, and physical processes governing soil functions is directly..., and workshop organizers invite interested sci- entists, students, and the public to join this international effort. Organizers have funding support from the U.S. National Science Foun- dation’s Research Coordination Network Pro- gram and Critical Zone...

  8. Neural Networks and Information in Materials Science H. K. D. H. Bhadeshia*

    E-Print Network [OSTI]

    Cambridge, University of

    REVIEW Neural Networks and Information in Materials Science H. K. D. H. Bhadeshia* Department in Wiley InterScience (www.interscience.wiley.com). Abstract: Neural networks have pervaded all aspects 1. INTRODUCTION Neural networks are wonderful tools, which permit the development of quantitative

  9. Comparing the use of Social Networking and Traditional Media Channels for Promoting Citizen Science

    E-Print Network [OSTI]

    Hearst, Marti

    Comparing the use of Social Networking and Traditional Media Channels for Promoting Citizen Science This paper examines how social networks can be used to recruit and promote a crowdsourced citizen science releases, news stories, and participation campaigns. The target studied is Creek Watch, a citizen science

  10. Neural Networks 23 (2010) 667668 Contents lists available at ScienceDirect

    E-Print Network [OSTI]

    Fukai, Tomoki

    2010-01-01

    Neural Networks 23 (2010) 667­668 Contents lists available at ScienceDirect Neural Networks journal of large-scale neural network simulations poses the same challenge as experimental data does. This special massively parallel neural recordings and large-scale neural network simulations; (b) Frameworks

  11. Neural Networks ( ) Contents lists available at SciVerse ScienceDirect

    E-Print Network [OSTI]

    Minai, Ali A.

    Neural Networks ( ) ­ Contents lists available at SciVerse ScienceDirect Neural Networks journal is still not completely understood. Even the simplest movements such as reaching for a glass of water

  12. A physical sciences network characterization of non-tumorigenic and metastatic cells

    E-Print Network [OSTI]

    Jacks, Tyler E.

    To investigate the transition from non-cancerous to metastatic from a physical sciences perspective, the Physical Sciences–Oncology Centers (PS-OC) Network performed molecular and biophysical comparative studies of the ...

  13. Fusion Energy Sciences Network Requirements Review Final Report

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFESOpportunities Nuclear Physics (NP) NP HomeSciences Network

  14. DARD: Distributed Adaptive Routing for Datacenter Networks Dept. of Computer Science, Duke University

    E-Print Network [OSTI]

    Yang, Xiaowei

    DARD: Distributed Adaptive Routing for Datacenter Networks Xin Wu Dept. of Computer Science, Duke xwy@cs.duke.edu Abstract--Datacenter networks typically have many paths connecting each host pair, a Distributed Adaptive Routing architecture for Datacenter networks. DARD allows each end host to move traffic

  15. Neural Networks 24 (2011) 950960 Contents lists available at SciVerse ScienceDirect

    E-Print Network [OSTI]

    Fukai, Tomoki

    2011-01-01

    Neural Networks 24 (2011) 950­960 Contents lists available at SciVerse ScienceDirect Neural of a spiking neural network model of the basal ganglia circuitry using general purpose computing on graphics neural networks Real-time simulation GPGPUs Basal ganglia High-performance computing a b s t r a c t Real

  16. Z .Applied Surface Science 149 1999 97102 Unfolding positron lifetime spectra with neural networks

    E-Print Network [OSTI]

    Pázsit, Imre

    Z .Applied Surface Science 149 1999 97­102 Unfolding positron lifetime spectra with neural networks is based on the use of artificial neural networks ANNs . By using data from simulated positron spectra: Artificial neural networks ANNs ; Amplitudes; Simulation model 1. Introduction Determination of mean

  17. On the Utility of Abstraction in Labeling Actors in Social Networks Computer Science Department

    E-Print Network [OSTI]

    Honavar, Vasant

    such that actors are associated with labels that can be in many forms: labels which denote political or religiousOn the Utility of Abstraction in Labeling Actors in Social Networks Ngot Bui Computer Science--Social networks are naturally represented as het- erogeneous networks with multiple types of objects e.g., actors

  18. Robotic Telescopes and Networks: New Tools for Education and Science

    E-Print Network [OSTI]

    F. R. Querci; M. Querci

    1999-11-02

    Nowadays many telescopes around the world are automated and some networks of robotic telescopes are active or planned as shown by the lists we draw up. Such equipment could be used for the training of students and for science in the Universities of Developing Countries and of New Astronomical Countries, by sending them observational data via Internet or through remotely controlled telescopes. It seems that it is time to open up for discussion with UN and ESA organizations and also with IAU, how to implement links between robotic telescopes and such Universities applying for collaborations. Many scientific fields could thus be accessible to them, for example on stellar variability, near-earth object follow-up, gamma-ray burst counterpart tracking, and so on.

  19. Using Mobile Technology and Social Networking to Crowdsource Citizen Science

    E-Print Network [OSTI]

    Robson, Christine

    2012-01-01

    2.1.1 Armchair Citizen Science . . . . . . . . . . . . . . .Current Citizen Science Projects . . . . . . . . . . . . . .3 Examples of Citizen Science 3.1 Case Study:

  20. CAGE100: Real-Time Multi-Port Packet Capture System for 100 Gigabit Ethernet Traffic

    SciTech Connect (OSTI)

    Ali Namazi; Babak Azimi-Sadjadi; Chujen Lin

    2012-06-14

    Future large scale sciences are anticipated to use massive amount of data in their experiments. DOE�¢����s ESnet (Energy Science Network) is developing a 100 Gbps backbone based on this state-of-the-art 100 Gigabit Ethernet standard. ESnet will serve thousands of DOE and non-DOE scientists with its high bandwidth backbone, and connect several national laboratories. Current Ethernet test and debug solutions, such as network traffic capturer/analyzer tools, support up to 10 Gbps speed, and the very few capable of handling 100 Gbps are extremely costly. Such tools are essential in the development of high speed devices and routers, and ultimately the success of 100 Gigabit Ethernet.

  1. Neural Networks, Vol. 10, NO. 8, 1505-1521, 1997pp. 0 1997 Elsevier Science Ltd. All rights reserved

    E-Print Network [OSTI]

    Edinburgh, University of

    Pergamon Neural Networks, Vol. 10, NO. 8, 1505-1521, 1997pp. 0 1997 Elsevier Science Ltd. All learning parameters on the learning procedure and pe$ormance of back-propagation neural networks used Elsevier Science Ltd. Keywords-Back-propagation neural network, Seismic arrivals picking, Pattern

  2. Nuclear Physics Science Network Requirements Workshop, May 2008 - Final Report

    E-Print Network [OSTI]

    Tierney, Ed., Brian L

    2008-01-01

    Facilities Division, and the Office of Nuclear Physics.Nuclear Physics NetworkRequirements Workshop Nuclear Physics Program Office, DOE

  3. Unreduced Dynamic Complexity: Towards the Unified Science of Intelligent Communication Networks and Software

    E-Print Network [OSTI]

    Andrei P. Kirilyuk

    2006-03-16

    Operation of autonomic communication networks with complicated user-oriented functions should be described as unreduced many-body interaction process. The latter gives rise to complex-dynamic behaviour including fractally structured hierarchy of chaotically changing realisations. We recall the main results of the universal science of complexity (physics/9806002) based on the unreduced interaction problem solution and its application to various real systems, from nanobiosystems (physics/0412097, physics/0502133) and quantum devices (physics/0211071) to intelligent networks (physics/0412058) and emerging consciousness (physics/0409140). We concentrate then on applications to autonomic communication leading to fundamentally substantiated, exact science of intelligent communication and software. It aims at unification of the whole diversity of complex information system behaviour, similar to the conventional, "Newtonian" science order for sequential, regular models of system dynamics. Basic principles and first applications of the unified science of complex-dynamic communication networks and software are outlined to demonstrate its advantages and emerging practical perspectives.

  4. Hawaii International Conference on Systems Sciences, January 2002, Hawaii. IEEE Growth and Propagation of Disturbances in a Communication Network Model

    E-Print Network [OSTI]

    Newman, David

    . Therefore, network vulnerability is a major hazard. Analysis of communications system traffic suggests and to characteristics of real Internet data. 1. Introduction Complex systems such as, communication networksHawaii International Conference on Systems Sciences, January 2002, Hawaii. © IEEE Growth

  5. Looking for Science in the Art of Network Measurement

    E-Print Network [OSTI]

    Greenberg, Albert

    and complexity, fraught with conflicting economic interests, comprised of subsystems from an unprecedented range a taxonomy and survey the state of the art of network measurement. We compare measurements available survey of the state of the art of network mea­ surement. For this purpose, it is not useful to think

  6. 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.

  7. FES Science Network Requirements - Report of the Fusion Energy Sciences Network Requirements Workshop Conducted March 13 and 14, 2008

    E-Print Network [OSTI]

    Dart, Eli

    2008-01-01

    Fusion Energy program at Lawrence Livermore Nationalenergy science research national and international programs.Programs 6 General Atomics’ Energy Group: DIII-D National

  8. Department of Informa-on Engineering and Computer Science Vehicular Networks [C2X

    E-Print Network [OSTI]

    Lo Cigno, Renato Antonio

    by base sta-on ! Allows, e.g., frequency reuse in FDMA f0 f1 f2 f0 f2 f1 f2 f0 f1 f0 f1 f2 f0 f1 f2 f0 f1 f2 f0Department of Informa-on Engineering and Computer Science Vehicular Networks [C2

  9. The Center for International Earth Science Information Network (CIE-

    E-Print Network [OSTI]

    Columbia University

    science, history, economics, natural resource manage- ment, geophysics, information management, library(845) 365-8922 E-mail: ciesin.info@ciesin.columbia.edu Data and Information Resources Updated November 2014.ciesin.columbia.edu/data/collection/epi Natural Resource Management Index (NRMI): A composite of four indicators, updated annually to help assess

  10. Enhancing the actinide sciences in Europe through hot laboratories networking and pooling: from ACTINET to TALISMAN

    SciTech Connect (OSTI)

    Bourg, S.; Poinssot, C.

    2013-07-01

    Since 2004, Europe supports the strengthening of the European actinides sciences scientific community through the funding of dedicated networks: (i) from 2004 to 2008, the ACTINET6 network of excellence (6. Framework Programme) gathered major laboratories involved in nuclear research and a wide range of academic research organisations and universities with the specific aims of funding and implementing joint research projects to be performed within the network of pooled facilities; (ii) from 2009 to 2013, the ACTINET-I3 integrated infrastructure initiative (I3) supports the cost of access of any academics in the pooled EU hot laboratories. In this continuation, TALISMAN (Trans-national Access to Large Infrastructures for a Safe Management of Actinides) gathers now the main European hot laboratories in actinides sciences in order to promote their opening to academics and universities and strengthen the EU-skills in actinides sciences. Furthermore, a specific focus is set on the development of advanced cutting-edge experimental and spectroscopic capabilities, the combination of state-of-the art experimental with theoretical first-principle methods on a quantum mechanical level and to benefit from the synergy between the different scientific and technical communities. ACTINET-I3 and TALISMAN attach a great importance and promote the Education and Training of the young generation of actinides scientists in the Trans-national access but also by organizing Schools (general Summer Schools or Theoretical User Lab Schools) or by granting students to attend International Conference on actinide sciences. (authors)

  11. Nguyen, Son, Capacity and Throughput Optimization in Multi-cell 3G WCDMA Networks Master of Science (Computer Science and Engineering), August 2005, 82 pp., 16 tables, 25

    E-Print Network [OSTI]

    Akl, Robert

    L. Terrell, Dean of the Robert B. Toulouse School of Graduate Studies #12;ACKNOWLEDGMENTS FirstNguyen, Son, Capacity and Throughput Optimization in Multi-cell 3G WCDMA Networks Master of Science;CAPACITY AND THROUGHPUT OPTIMIZATION IN MULTI-CELL 3G WCDMA NETWORKS Son Nguyen, B.S. Thesis Prepared

  12. Basic Energy Sciences Network Requirements Review Final Report

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

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

  13. Year 1 Progress Report Computational Materials and Chemical Sciences Network Administration

    SciTech Connect (OSTI)

    Rehr, John J.

    2012-08-02

    This document reports progress on the project “Computational Materials and Chemical Sciences Network Administration,” which is supported by DOE BES Grant DE-FG02-02ER45990 MOD 08. As stated in the original proposal, the primary goal of this project is to carry out the scientific administrative responsibilities for the Computational Materials and Chemical Sciences Network (CMCSN) of the U.S. Department of Energy, Office of Basic Energy Sciences. These responsibilities include organizing meetings, publishing and maintaining CMCSN’s website, publishing a periodic newsletter, writing original material for both the website and the newsletter, maintaining CMCSN documentation, editing scientific documents, as needed, serving as liaison for the entire Network, facilitating information exchange across the network, communicating CMCSN’s success stories to the larger community and numerous other tasks outside the purview of the scientists in the CMCSN. Given the dramatic increase in computational power, advances in computational materials science can have an enormous impact in science and technology. For many of the questions that can be addressed by computation there is a choice of theoretical techniques available, yet often there is no accepted understanding of the relative strengths and effectiveness of the competing approaches. The CMCSN fosters progress in this understanding by providing modest additional funding to research groups which engage in collaborative activities to develop, compare, and test novel computational techniques. Thus, the CMCSN provides the “glue” money which enables different groups to work together, building on their existing programs and expertise while avoiding unnecessary duplication of effort. This includes travel funding, partial postdoc salaries, and funding for periodic scientific meetings. The activities supported by this grant are briefly summarized below.

  14. A clock network for geodesy and fundamental science

    E-Print Network [OSTI]

    Lisdat, C; Quintin, N; Shi, C; Raupach, S M F; Grebing, C; Nicolodi, D; Stefani, F; Al-Masoudi, A; Dörscher, S; Häfner, S; Robyr, J -L; Chiodo, N; Bilicki, S; Bookjans, E; Koczwara, A; Koke, S; Kuhl, A; Wiotte, F; Meynadier, F; Camisard, E; Abgrall, M; Lours, M; Legero, T; Schnatz, H; Sterr, U; Denker, H; Chardonnet, C; Coq, Y Le; Santarelli, G; Amy-Klein, A; Targat, R Le; Lodewyck, J; Lopez, O; Pottie, P -E

    2015-01-01

    Leveraging the unrivaled performance of optical clocks in applications in fundamental physics beyond the standard model, in geo-sciences, and in astronomy requires comparing the frequency of distant optical clocks truthfully. Meeting this requirement, we report on the first comparison and agreement of fully independent optical clocks separated by 700 km being only limited by the uncertainties of the clocks themselves. This is achieved by a phase-coherent optical frequency transfer via a 1415 km long telecom fiber link that enables substantially better precision than classical means of frequency transfer. The fractional precision in comparing the optical clocks of three parts in $10^{17}$ was reached after only 1000 s averaging time, which is already 10 times better and more than four orders of magnitude faster than with any other existing frequency transfer method. The capability of performing high resolution international clock comparisons paves the way for a redefinition of the unit of time and an all-optic...

  15. Computer Science 78 Computer Networks or hacking the network, part II

    E-Print Network [OSTI]

    Campbell, Andrew T.

    - such as, the Internet - else, things remain too abstract. You will write approximately 3000 lines of C Overview Welcome to the world on computer networks. Ever wondered what makes the Internet tick? Want to gain the skills that would allow you to implement the Internet? Read on .... The ORC: This course

  16. Neural Networks and Genetic Algorithms in Materials Science and Engineering, 2006 January 1113, 2006, Tata McGrawHill Publishing Company Ltd., India

    E-Print Network [OSTI]

    Cambridge, University of

    Neural Networks and Genetic Algorithms in Materials Science and Engineering, 2006 January 11, Shibpur, Howrah, India Neural Networks in Materials Science: The Importance of Uncertainty H. K. D. H rela- tionships and structure within vast arrays of ill­understood data. The neural network method

  17. Building A Science DMZ Eli Dart, Network Engineer ESnet Network Engineering Group

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAudits &Bradbury Science Museum -Brooklin GoreNational LaboratoryA

  18. World citation and collaboration networks: uncovering the role of geography in science

    E-Print Network [OSTI]

    Pan, Raj Kumar; Fortunato, Santo

    2012-01-01

    Modern information and communication technologies, especially the Internet, have diminished the role of spatial distances and territorial boundaries. This has enabled scientists for closer collaboration and internationalization. Nevertheless, geography remains an important factor affecting the dynamics of science. Hence, assessing the influence of spatial proximity between scientists is crucial to promote efficient collaboration strategies and, ultimately, to improve the quality of science. Here we present a systematic analysis of citation and collaboration streams between cities and countries. By assigning papers to the geographic locations of their authors' affiliations, we construct weighted networks of citations and collaborations. The citation flows as well as the collaboration strengths between cities decrease with the distance between them and follow gravity laws with exponents close to 1. Moreover, for a given number of authors, the diversity of affiliations increases the number of citations, especial...

  19. 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

  20. Dynamics of center-periphery patterns in knowledge networks - the case of China's biotech science and technology system

    E-Print Network [OSTI]

    Hennemann, Stefan; Liefner, Ingo

    2011-01-01

    Science and technology systems - and their epistemic communities - are usually hierarchical and composed of a number of strong, large, leading organizations, along with a number of smaller and less influential ones. Moreover, these hierarchical patterns have a spatial structure: the leading organizations are concentrated in a few places, creating a science and technology center, whereas the majority of locations are peripheral. In the example of biotech research in China, we found dynamic changes in center-periphery patterns. These results are based on a network analysis of evolving co-authorship networks from 2001 to 2009 that were built combining national and international databases. Therefore, our results are not only relevant for evaluating the spatial structure and dynamics in the Chinese biotech system and its integration into the global knowledge network, but also revive a discussion on persistence and processes of change in the systems theory for sciencebased industries.

  1. Microsoft Word - Johnston.IOS.Network Communication as a Service...

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

    system communication be based on a service-oriented capability. Keywords. Energy Sciences Network (ESnet), networks for large-scale science, network planning, networks...

  2. The Science of Science Dr. Katy Brner

    E-Print Network [OSTI]

    Menczer, Filippo

    1 The Science of Science Dr. Katy Börner Cyberinfrastructure for Network Science Center, Director Information Visualization Laboratory, Director School of Library and Information Science Indiana University February 20th, 2008 Computational Scientometrics: Studying Science by Scientific Means Börner, Katy, Chen

  3. Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package

    E-Print Network [OSTI]

    Donges, Jonathan F; Beronov, Boyan; Wiedermann, Marc; Runge, Jakob; Feng, Qing Yi; Tupikina, Liubov; Stolbova, Veronika; Donner, Reik V; Marwan, Norbert; Dijkstra, Henk A; Kurths, Jürgen

    2015-01-01

    We introduce the pyunicorn (Pythonic unified complex network and recurrence analysis toolbox) open source software package for applying and combining modern methods of data analysis and modeling from complex network theory and nonlinear time series analysis. pyunicorn is a fully object-oriented and easily parallelizable package written in the language Python. It allows for the construction of functional networks such as climate networks in climatology or functional brain networks in neuroscience representing the structure of statistical interrelationships in large data sets of time series and, subsequently, investigating this structure using advanced methods of complex network theory such as measures and models for spatial networks, networks of interacting networks, node-weighted statistics or network surrogates. Additionally, pyunicorn provides insights into the nonlinear dynamics of complex systems as recorded in uni- and multivariate time series from a non-traditional perspective by means of recurrence qua...

  4. Coordinated Multi-layer Multi-domain Optical Network (COMMON) for Large-Scale Science Applications (COMMON)

    SciTech Connect (OSTI)

    Vokkarane, Vinod

    2013-09-01

    We intend to implement a Coordinated Multi-layer Multi-domain Optical Network (COMMON) Framework for Large-scale Science Applications. In the COMMON project, specific problems to be addressed include 1) anycast/multicast/manycast request provisioning, 2) deployable OSCARS enhancements, 3) multi-layer, multi-domain quality of service (QoS), and 4) multi-layer, multidomain path survivability. In what follows, we outline the progress in the above categories (Year 1, 2, and 3 deliverables).

  5. _____________________________2008 Conference on Information Sciences and Systems, The Princeton University, March 19--21, 2008 Identifying Sufficient Statistics in Information Networks

    E-Print Network [OSTI]

    Dai, Huaiyu

    _____________________________2008 Conference on Information Sciences and Systems, The Princeton University, March 19--21, 2008 Identifying Sufficient Statistics in Information Networks Huaiyu Dai1-mail: Huaiyu_Dai@ncsu.edu 2 Department of Electrical Engineering and Computer Sciences, University of Tennessee

  6. Little Science Confronts the Data Deluge: Habitat Ecology, Embedded Sensor Networks, and Digital Libraries

    E-Print Network [OSTI]

    Borgman, C L; Wallis, J C; Enyedy, N

    2006-01-01

    Principles of embedded networked systems design. Cambridge,2006). These are systems of sensors that are embedded in the

  7. Making Science Useful to Decision Makers: Climate Forecasts, Water Management, and Knowledge Networks

    E-Print Network [OSTI]

    Feldman, David L; Ingram, Helen M

    2009-01-01

    Climate Change Science Program and the Subcommittee on Global Change Research, NOAA’s National Climatic Data Center,

  8. Crowdsourcing, Climate Change and Student Science: The Community Collaborative Rain, Hail and Snow Network

    E-Print Network [OSTI]

    Stephens, Graeme L.

    it one of the most innovative citizen science programs in the nation. Students of all ages at over 100Crowdsourcing, Climate Change and Student Science: The Community Collaborative Rain, Hail and Snow: Dr. Nolan Doesken Address: Department of Atmospheric Science 1371 Campus Delivery Colorado State

  9. Build a Network, Cellular Style | U.S. DOE Office of Science...

    Office of Science (SC) Website

    kinesin, forms complex networks of tiny tubes made of polymers by converting chemical energy into mechanical work (schematic drawing, top). The microtubules (green) pull...

  10. Social networks and online environments: when science and practice co-evolve

    E-Print Network [OSTI]

    Rosen, Devan; Barnett, George A.; Kim, Jang Hyun

    2011-01-01

    ATM network) (Salisbury and Barnett 1999). The goal of thise-mail: jangkim@hawaii.edu G. A. Barnett (&) Department ofSociol 27:307–336 Elbirt B, Barnett GA (2006) Two approaches

  11. Web Science 2.0: Identifying Trends through Semantic Social Network Analysis

    E-Print Network [OSTI]

    Gloor, Peter A.

    We introduce a novel set of social network analysis based algorithms for mining the Web, blogs, and online forums to identify trends and find the people launching these new trends. These algorithms have been implemented ...

  12. Faculty of Science Computer Science

    E-Print Network [OSTI]

    Faculty of Science Computer Science Computer software engineering, network and system analysis.uwindsor.ca/computerscience The University of Windsor offers a variety of computer science programs to prepare students for a career in the technology industry or in research and academia. A computer science degree provides an in-depth understanding

  13. Faculty of Science Computer Science

    E-Print Network [OSTI]

    Faculty of Science Computer Science Software engineering, network and system analysis continue a variety of computer science programs to prepare students for a career in the technology industry or in research and academia. A computer science degree provides an in-depth understanding of the fundamentals

  14. Graduate Institute of Networking and Multimedia College of Electrical Engineering Computer Science

    E-Print Network [OSTI]

    Chu, Hao-hua

    . This study discusses the results of a 10-week quantitative user study and qualitative focus group interviews Science National Taiwan University Master Thesis : Playful Bottle: a Mobile Social Persuasion System .......................................................................... 16 3.1 Quantitative User Study

  15. Science

    E-Print Network [OSTI]

    Department of Mathematics, Statistics, and Computer Science, University of Illinois. at Chicago, Chicago, IL, 60607, USA. 2 Department of Mathematics, Purdue ...

  16. 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

  17. Wireless Networks 11, 619635, 2005 C 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands.

    E-Print Network [OSTI]

    Cheng, Xiuzhen "Susan"

    in The Netherlands. A Performance Evaluation of a Novel Energy-Aware Data-Centric Routing Algorithm in Wireless Energy-Aware Data-Centric Routing algorithm for wireless sensor networks, which we refer to as EAD. We a rooted broadcast tree with many leaves, and facilitate the data-centric routing in wireless micro sensor

  18. 26th INTERNATIONAL CONGRESS OF THE AERONAUTICAL SCIENCES SECURITY OF WIRELESS SENSOR NETWORK ENABLED

    E-Print Network [OSTI]

    Poovendran, Radha

    the condition of aircraft engines, structures, gear boxes, and so on [8]. Wireless sensor network (WSN), i the grow- ing prospects of a onboard WSN. As noted in [10], the RFID system can be considered to be a WSN must be addressed. WSN and active RFID system have vulnera- bilities that can be exploited

  19. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and-- Energy, science, and

  20. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and-- Energy, science,

  1. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and-- Energy, science,--

  2. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and-- Energy, science,----

  3. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and---- Energy, science,

  4. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and---- Energy, science,--

  5. 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.

  6. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report:Speeding accessby a contractor ofvarDOEBatteryTechnologiesSciencesEnergy,--

  7. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

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

  8. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and-- Energy,

  9. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and-- Energy,-- Energy,

  10. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and-- Energy,-- Energy,--

  11. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and-- Energy,--

  12. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and-- Energy,---- Energy,

  13. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and-- Energy,----

  14. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and-- Energy,------

  15. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and-- Energy,--------

  16. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and-- Energy,----------

  17. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and-- Energy,------------

  18. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and--

  19. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and---- Energy,

  20. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and---- Energy,-- Energy,

  1. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and---- Energy,--

  2. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and---- Energy,----

  3. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and---- Energy,------

  4. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and---- Energy,--------

  5. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and---- Energy,----------

  6. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report: Achievements of structuralRussianEnergy, science, and----

  7. Next Generation Networking | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

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

  8. Bibliography for EC'12 Tutorial: The Diffusion of Networking Techologies Sharon Goldberg Social Sciences. E. Rogers pioneering book on the social science of diffusion has seen five

    E-Print Network [OSTI]

    Goldberg, Sharon

    Bibliography for EC'12 Tutorial: The Diffusion of Networking Techologies Sharon Goldberg Background­27, 1969. 1 June 7, 2012 #12;Bibliography for EC'12 Tutorial: The Diffusion of Networking Techologies

  9. Science

    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 Top LDRDUniversitySchedules Print Current Science

  10. Science

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

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

  11. Excellence networks in science: A web-based application (www.excellence-networks.net) for the identification of institutions collaborating successfully

    E-Print Network [OSTI]

    Bornmann, Lutz; Anegon, Felix de Moya; Mutz, Ruediger

    2015-01-01

    Network techniques have been used to visualize bibliometric data for many years. In this study we present an application which can be accessed via www.excellence-networks.net and which represents networks of scientific institutions worldwide. The application is based on papers (articles, reviews and conference papers) published between 2007 and 2011. It uses the same data on which the SCImago Institutions Ranking is based (Scopus data from Elsevier). Using this data, institutional networks have been estimated with statistical models (Bayesian multilevel logistic regression) for a number of Scopus subject areas. Within single subject areas, we have investigated and visualized how successfully overall an institution (reference institution) has collaborated (compared to all the other institutions in a subject area), and with which other institutions (network institutions) an institution (reference institution) has collaborated particularly successfully. The "best paper rate" (statistically estimated) was used as...

  12. Networks permeate our daily lives, underpinning our economies and societies and provide the infrastructure for business, science, technology, social sys-

    E-Print Network [OSTI]

    Nagurney, Anna

    as to be informed. Energy networks help to fuel not only transportation networks but in many settings also to heat our homes and to power vehicles, and water for our very survival. Financial networks supply due to the ad- dition of alternatives and options which were not, heretofore, possible or even

  13. 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

  14. EA-1964: National Ecological Observation Network (NEON)

    Broader source: Energy.gov [DOE]

    The National Science Foundation (NSF) prepared an EA that evaluated potential environmental impacts of the proposed National Ecological Observation Network (NEON), a continental-scale network of...

  15. Open science: revolution or continuity?

    E-Print Network [OSTI]

    Delfanti, Alessandro; Pitrelli, Nico

    2015-01-01

    new era of networked science. Princeton University Press,Friesike, S "Putting open science into practice: A socialTyfield, D “Transition to science 2.0: ‘Remoralizing’ the

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

    E-Print Network [OSTI]

    Draghici, Sorin

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

  17. BES Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01

    LBNL (Molecular Foundry) Jason Zurawski, Internet2 (72 Molecular Foundry TheoryFacility, Molecular Foundry,

  18. BES Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01

    model where resource allocation will follow the separation between these two phases of the discovery process,

  19. BER Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01

    global climate or Earth system models. Integrated assessmentdrive climate and Earth system model solutions. In turn,models and the full Earth system models used to simulate

  20. BES Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01

    Linac Coherent Light Source (LCLS), located at SLAC, beganfor exploiting the unique LCLS scientific capabilities areshort-term storage using the LCLS offline system. Access to

  1. BER Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01

    base • Genome annotation • Laboratory information management system • DNA sequencing • Sequence data

  2. NP Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2013-01-01

    ILC, Project X, SNS II, eRHIC, etc. ) and could potentiallyBNL possibly phasing into eRHIC. We view the NERSC/PDSF mass

  3. BES Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01

    calculations and molecular dynamics simulations to study the structures, electronic and dynamicElectronic structure calculations, quantum many- body simulations, molecular dynamics (electronic structure, Monte Carlo, mean field theory, and dynamics calculations

  4. ASCR Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2010-01-01

    next generation, high-performance computing architectures.Division. 3.2 High Performance Computing and Networkfacilities: High Performance Computing (HPC) Facility and

  5. BES Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01

    30-ft wide by 8- ft high Powerwall for data exploration andwith which to operate the Powerwall and manage multimediadelivery to the EVEREST Powerwall. ORNL also provides Lens,

  6. NP Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2013-01-01

    ALICE-XRootD includes a Grid Security Infrastructure (GSI)processing unit Grid Security Infrastructure Hanbury Brown-

  7. BES Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01

    stratified mixtures, flame stabilization in autoignitive flows, autoignition under homogeneous charge

  8. ASCR Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2010-01-01

    our understanding of jet engine combustors is the secret toscientific simulations of jet engine combustors have already

  9. Energy Sciences Network (ESnet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory of rare Kaonforsupernovae model (Journal About DOE Button StaffEnergyEFRCESnet

  10. Science Maps in Action Dr. Katy Brner

    E-Print Network [OSTI]

    Menczer, Filippo

    Science Maps in Action Dr. Katy Börner Cyberinfrastructure for Network Science Center, Director Information Visualization Laboratory, Director School of Library and Information Science Indiana University Computational Scientometrics: Studying Science by Scientific Means Börner, Katy, Chen, Chaomei, and Boyack

  11. Summary of ICTP activities in support of science in

    E-Print Network [OSTI]

    : High Speed Networking Effects on Science, Merida, 2007 Regional School in High Performance Computing

  12. eUROPEAN nETWORK for aDVANCED cOMPUTING tECHNOLOGY for sCIENCE

    E-Print Network [OSTI]

    Farantos, Stavros C.

    on Grid Service Requirements (pp. 326) Report on High Performance Computing Development for the Next Network brings together High Performance Computing (HPC) Large Scale Facilities (LSF) funded by the DGXII

  13. Molecular Evolution, Networks in From: Meyers, R.A. (ed.) Encyclopedia of Complexity and System Science. Springer, Heidelberg

    E-Print Network [OSTI]

    Wagner, Andreas

    Molecular Evolution, Networks in From: Meyers, R.A. (ed.) Encyclopedia of Complexity and System of Biochemistry Computational Biology and Bioinformatics Building Y27 Winterthurerstrasse 190 CH-8057 Zurich

  14. McGraw-Hill 2008 Yearbook of Science & Technology The McGraw-Hill Companies "Solitons in Electrical Networks"

    E-Print Network [OSTI]

    Ricketts, David S.

    of wave energy within the pulse shape without dispersion and exhibit remarkable nonlinear dynamics dispersion of energy, the light-wave solitons can carry a large amount of digital information in longMcGraw-Hill 2008 Yearbook of Science & Technology © The McGraw-Hill Companies "Solitons

  15. Computer Science Undergraduate Programs 1 02/18/13 COMPUTER SCIENCE

    E-Print Network [OSTI]

    Thomas, Andrew

    Computer Science Undergraduate Programs 1 02/18/13 COMPUTER SCIENCE at the UNIVERSITY OF MAINE http://www.umcs.maine.edu BACHELOR OF SCIENCE DEGREE IN COMPUTER SCIENCE BACHELOR OF ARTS DEGREE IN COMPUTER SCIENCE Computer science of computer science include databases, high-performance computing, artificial intelligence, computer networks

  16. Computer Science 1 Department of Computer Science

    E-Print Network [OSTI]

    Steinberg, Louis

    , networks, and robots ­ In every industry ­ In every size business ­ In every size team #12;Computer Science and Activities ­ The CAVE ­ Hack-R-Space ­ HackRU ­ HackHers ­ Code Red . . . See www

  17. 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

  18. 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

  19. 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

  20. Controlling Across Complex Networks Emerging links between networks and control

    E-Print Network [OSTI]

    , and Electrical Engineering University of New Mexico, Albuquerque NM 87131. Sandia National Laboratories communication network infrastructure into our designs; for example, we now consider the impact of link capacity as biology, computer science, physics, and social science. In such a context, networks provide a principled

  1. Science Park Science Park

    E-Print Network [OSTI]

    Koolen, Marijn

    Science Park Science Park Science Park Science Park Science Park Kruislaan Kruislaan Science Park SURFsara NLeSC Polder Anna Hoeve Telecity Matrix Innovation Center AUC AMOLF ARCNL UvA Faculty of Science Equinix Universum CWI UvA Oerknal Meet & Eat Maslow Spar ACE Venture Lab IXA ILCA NS Amsterdam Science

  2. Network Operating Systems Partha Dasgupta

    E-Print Network [OSTI]

    Dasgupta, Partha

    Network Operating Systems Partha Dasgupta Department of Computer Science and Engineering Arizona of Electrical Engineering] 1. Introduction Network Operating Systems extend the facilities and services provided by computer operating systems to support a set of computers, connected by a network. The environment managed

  3. Science Outreach Science Outreach

    E-Print Network [OSTI]

    Kavanagh, Karen L.

    Science Outreach Science Outreach AT SFU'S FACULTY OF SCIENCE OUR PASSION IS SCIENCE EDUCATION At SFU's Faculty of Science our passion is science education #12;coming sooncoming soon The Trottier 2015. The Trottier Observatory will be an anchor for a science plaza located in front of Strand Hall

  4. CONFERENCE ON INFORMATION SCIENCES AND SYSTEMS (CISS), INVITED PAPER ON OPTIMIZATION OF COMM. NETWORKS, MARCH 2006 1 Optimal Backpressure Routing for Wireless

    E-Print Network [OSTI]

    Neely, Michael J.

    an average power that can be pushed arbitrarily close to the minimum average power required for network consider a multi-node, multi-hop wireless network with "unreliable" channels. Each transmission link has knowledge of which receivers are within transmission range may be uncertain, or in dense ad-hoc networks

  5. 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

  6. Investigating Database Security in a Networked Environment

    E-Print Network [OSTI]

    Wagner, Paul J.

    Investigating Database Security in a Networked Environment Matthew Giuliani Computer Science wagnerpj@uwec.edu Abstract Database and network security have traditionally been separate fields within flowing between client and database systems. Although vender specific information is available for many

  7. 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

  8. Understanding Sampling Network Coverage Maddalena, Damian; Hoffman...

    Office of Scientific and Technical Information (OSTI)

    and quantitative representativeness maps of individual and combined networks. ORNL Climate Change Science Institute (CCSI), Oak Ridge National Laboratory (ORNL), Oak Rdige,...

  9. Illustration: Bibliometric network visualization of organizations affiliated to KTH Royal Institute of Technology and University of Tokyo co-authored items in ISI Web of Science.

    E-Print Network [OSTI]

    Haviland, David

    of Technology and University of Tokyo co-authored items in ISI Web of Science. Bibliometric Overview-authorship .......................................................................................................................6 Method and publication properties A search was conducted in ISI Web of Science where co

  10. Citizen Science Katie Villano Spellman

    E-Print Network [OSTI]

    Ruess, Roger W.

    Pollinator Attraction Citizen Science Program Katie Villano Spellman Christa P.H. Mulder Department of focal species across Alaska Citizen Science! Melilotus albus Vaccinium vitis-idaea Vaccinium uliginosum #12;Pollinator Attraction Citizen Science Program Attributes: Aligned with National Phenology Network

  11. eScience, Semantic Computing and the Cloud

    E-Print Network [OSTI]

    eScience, Semantic Computing and the Cloud Towards a Smart Cyberinfrastructure for eScience Tony Hey Corporate Vice President Microsoft Research #12;eScience #12;· Data collection ­ Sensor networks

  12. Ecological NetworksEcological Networks 15 September 2009

    E-Print Network [OSTI]

    Albert, Réka

    Thompson 2006 Science #12;PlantpollinatorPlant pollinator Bascompte & Jordano 2007 Ann Rev Ecol Evo Syst - k k A truncated power law fits most mutualistic networks Bascompte & Jordano 2007 Ann Rev Ecol Evo

  13. 2005 Conference on Information Sciences and Systems, The Johns Hopkins University, March 1618, 2005 Efficient Data Delivery over Address-Free Wireless Sensor Networks

    E-Print Network [OSTI]

    Deng, Jing

    - tional packet networks but it introduces too much overhead, wasting precious resources, for data-centric sensor networks (WSNs), however, most applications rely on data-centric instead of node send data-centric queries such as "How many pedestrians do you observe in region X?" or "Inform me

  14. Gaussian Process Networks Nir Friedman

    E-Print Network [OSTI]

    Friedman, Nir

    Gaussian Process Networks Nir Friedman School of Computer Science & Engineering Hebrew University Jerusalem, 91904, ISRAEL nir@cs.huji.ac.il Iftach Nachman Center for Neural Computation and School

  15. Fusion Energy Sciences Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2014-01-01

    the Institute for Plasma Research (IPR), in Gujarat, India.Physics Institute for Plasma Research International Tokamak

  16. SCIENCE CHINA Technological Sciences

    E-Print Network [OSTI]

    Liu, Yijun

    turbines, jet engines, nuclear power plants and space crafts, have placed severe demands on highSCIENCE CHINA Technological Sciences © Science China Press and Springer-Verlag Berlin Heidelberg

  17. Building Classifiers using Bayesian Networks Nir Friedman

    E-Print Network [OSTI]

    Friedman, Nir

    Science Gates Building 1A Stanford, CA 94305-9010 nir@cs.stanford.edu Moises Goldszmidt Rockwell Science Center 444 High St., Suite 400 Palo Alto, CA 94301 moises@rpal.rockwell.com Abstract Recent work independences. Bayesian networks (Pearl 1988) pro- vide both. Bayesian networks are directed acyclic graphs

  18. Building Classifiers using Bayesian Networks Nir Friedman

    E-Print Network [OSTI]

    Friedman, Nir

    Science Gates Building 1A Stanford, CA 94305­9010 nir@cs.stanford.edu Moises Goldszmidt \\Lambda Rockwell Science Center 444 High St., Suite 400 Palo Alto, CA 94301 moises@rpal.rockwell.com Abstract Recent work independences. Bayesian networks (Pearl 1988) pro­ vide both. Bayesian networks are directed acyclic graphs

  19. LHC Network Measurement Joe Metzger

    E-Print Network [OSTI]

    1 LHC Network Measurement Joe Metzger Nov 6 2007 LHCOPN Meeting at CERN Energy Sciences Network & Capacity RRDMA Input Errors & Output Drops PS-SNMPMA Done ?? Beta Aug 1, Package Sep 1 Visualize perf On-demand AMI MA & Scheduler Hades Owamp MP Beta Sep 15, Package Oct 1 October Done Archive perf

  20. 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...

  1. Controlling Across Complex Networks Emerging links between networks and control

    E-Print Network [OSTI]

    , and Electrical Engineering University of New Mexico, Albuquerque NM 87131. Sandia National Laboratories science, physics, and social science. Networks thus provide means to understand the interaction between infrastructure into their designs, by considering the impact of link capacity, latency, and packet loss

  2. Controlling Across Complex Networks Emerging links between networks and control

    E-Print Network [OSTI]

    & Computer Engineering Department MSC01 1100 1 University of New Mexico Albuquerque, NM 87131-0001 USA as biology, computer science, physics, and social science. Networks thus provide the means to understand, by considering the impact of link capacity, latency, and packet loss on control systems [2, 1

  3. 11/3/11 11.03.11 -Science360 News Service | National Science Foundation 1/2news.science360.gov/files/

    E-Print Network [OSTI]

    11/3/11 11.03.11 - Science360 News Service | National Science Foundation 1/2news.science360.gov/files/ Einstein a Go Go Do Mobile Phones Cause Cancer? Provided by Einstein a Go Go 24/7 Science Radio 100+ shows More Videos at Science360 The Knowledge Network Briny Breath Of Enceladus Provide by NASA's Jet

  4. Findiing Science with Science Page 1 Finding Science with Science

    E-Print Network [OSTI]

    Stock, Kristin

    Findiing Science with Science Page 1 Finding Science with Science: Evaluating the Use Stojanovicd , Femke Reitsmae , Lukasz Korczynskif and Boyan Brodaricg a Centre for Geospatial Science of Earth and Ocean Sciences, Cardiff University, Cardiff, UK; e Department of Geography, University

  5. Progress in Polymer Science 35 (2010) 332337 Contents lists available at ScienceDirect

    E-Print Network [OSTI]

    Turro, Nicholas J.

    2010-01-01

    Progress in Polymer Science 35 (2010) 332­337 Contents lists available at ScienceDirect Progress properties since they consist predom- inantly of water held in place by a relatively fragile polymer network reserved. Contents 1. Introduction

  6. Supply Chain Networks: Challenges and Opportunities

    E-Print Network [OSTI]

    Nagurney, Anna

    Supply Chains Anna Nagurney Supply Chain Networks #12;Energy Supply Chains Anna Nagurney Supply ChainSupply Chain Networks: Challenges and Opportunities from Analysis to Design Anna Nagurney Isenberg on Computational Management Science Vienna, Austria July 28-30, 2010 Anna Nagurney Supply Chain Networks #12

  7. Hierarchical CP-networks Denis Mindolin

    E-Print Network [OSTI]

    Chomicki, Jan

    Hierarchical CP-networks Denis Mindolin Dept. of Computer Science and Engineering, University a variant of acyclic CP-networks. It allows not only finite but also infinite domain attributes. It also has induced by a hierarchical CP- network, thus making it possible to work with hierarchical CP

  8. Wireless Network Esercitazioni

    E-Print Network [OSTI]

    Lo Cigno, Renato Antonio

    Wireless Network Esercitazioni Alessandro Villani avillani@science.unitn.it #12;Reti Ad Hoc #12;Reti Ad Hoc (IBSS) Tipicamente le wireless LANs che conosciamo utilizzano la modalità "infrastrutturata Hoc (IBSS) La modalità Ad Hoc permette agli utenti di costituire una wireless LAN autonomamente

  9. Wireless Network Esercitazioni

    E-Print Network [OSTI]

    Lo Cigno, Renato Antonio

    Wireless Network Esercitazioni Alessandro Villani avillani@science.unitn.it #12;Configurazione AP sito CISCO: http://www.cisco.com/public/sw-center/sw- wireless.shtml La versione attuale è: c1200-k9w7;AP 1200: Configurazione Wireless Ruolo in una rete Wireless: Root o repeater Speed: Basic: traffico

  10. 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.

  11. DOI: 10.1126/science.1140324 , 1753 (2007);316Science

    E-Print Network [OSTI]

    Church, George M.

    2007-01-01

    DOI: 10.1126/science.1140324 , 1753 (2007);316Science et al.Chris Bakal, Signaling NetworksA list of selected additional articles on the Science Web sites http of Science.cited byThis article has been http://www.sciencemag.org/cgi/collection/cell_biol Cell Biology

  12. Benefits of Green Energy and Proportionality in High Speed Wide Area Networks Connecting Data Centers

    E-Print Network [OSTI]

    Simunic, Tajana

    Benefits of Green Energy and Proportionality in High Speed Wide Area Networks Connecting Data Network ModelBackbone Network Model Green EnergyGreen Energy SPR vs. GEARSPR vs. GEAR All vs. Necessary (MuSyC), National Science Foundation (NSF) Project GreenLight, Energy Sciences Network (ESnet), NSF

  13. Hawaii International Conference on System Sciences, January 3-6, 2001, Maui, Hawaii. 2001 IEEE Modeling Blackout Dynamics in Power Transmission Networks

    E-Print Network [OSTI]

    Newman, David

    in electric power transmission systems is implemented and studied in simple networks with a regular structure Electric power transmission systems are complex engineering systems with many interacting components failure, weather conditions, vandalism, and human error [1]. The dominant causes triggering blackouts

  14. Earth Sciences Environmental Earth Sciences,

    E-Print Network [OSTI]

    Brierley, Andrew

    86 Earth Sciences­ Environmental Earth Sciences, Geology Degree options MGeol (Single Honours Degrees) Earth Sciences BSc (Single Honours Degrees) Environmental Earth Sciences Geology BSc (Joint. * The Geology and Environmental Earth Sciences degrees are accredited by the Geological Society of London

  15. Earth Sciences Environmental Earth Sciences,

    E-Print Network [OSTI]

    Brierley, Andrew

    94 Earth Sciences­ Environmental Earth Sciences, Geology Degree options MGeol (Single Honours Degrees) Earth Sciences BSc (Single Honours Degrees) Environmental Earth Sciences Geology BSc (Joint placement. * The Geology and Environmental Earth Sciences degrees are accredited by the Geological Society

  16. Performance of deterministic and adaptive broadcast algorithms in multicomputer networks

    E-Print Network [OSTI]

    Al-Dubai, A.Y.; Ould-Khaoua, M.

    Al-Dubai,A.Y. Ould-Khaoua,M. Mackenzie,L.M. International Journal of High Performance Computing and Networking (IJHPCN), to appear Nova Science Publishers

  17. IEEE TRANSACTIONS ON PLASMA SCIENCE, VOL. 24, NO. 3, JUNE 1996 879 A Neural-Network Model of th.e Input/Output

    E-Print Network [OSTI]

    discusses an approach to model the inputloutput characteristics of the Sinus-6 electron beam accelerator to accurately describe the inputloutput behavior of the Sinus-6-driven backward wave oscillator (BWO of New Mexico Pulsed Power and TPlasma Science Laboratory, in collaboration with the systems group

  18. Accep. for publ. in the Proc. of the 31st Hawaii Int. Conf. on System Sciences, Computer Society Press, IEEE, 1997 Application of Technology and Asynchronous Learning Networks

    E-Print Network [OSTI]

    Accep. for publ. in the Proc. of the 31st Hawaii Int. Conf. on System Sciences, Computer Society of the computer-assisted personalized ap- proach (CAPA) system and its use in large lecture classes is described, an assignment system us- ing a computer-assisted personal approach (CAPA) was de- veloped at Michigan State

  19. SCIENCE CHINA Technological Sciences

    E-Print Network [OSTI]

    Ahmad, Sajjad

    SCIENCE CHINA Technological Sciences © Science China Press and Springer-Verlag Berlin Heidelberg HU HongChang, TIAN FuQiang* & HU HePing Department of Hydraulic Engineering, State Key Laboratory as a key soil physical parameter and has been widely used to predict soil hydraulic and other related

  20. Lecturer: Liam Roditty Faculty of Mathematics and Computer Science, Weizmann Institute of Science

    E-Print Network [OSTI]

    Barash, Danny

    Lecturer: Liam Roditty Faculty of Mathematics and Computer Science, Weizmann Institute of Science Title: Networks and computational geometry ­ new results and future directions Abstract: There is an intrinsic connection between computational geometry and networking. In this talk I will describe theoretical

  1. Texas science teachers' use of TENET and the internet 

    E-Print Network [OSTI]

    Edwards, Eleanor Evelyn

    1995-01-01

    The wealth of information available on TENET, the Texas Education Network, and the Internet has the potential to bring dramatic changes to science classrooms throughout Texas. Networking technology removes the limits of classrooms walls and opens...

  2. mkkim@bi.snu.ac.kr, btzhang@bi.snu.ac.kr A Social Influence Model based on Starbucks Networks

    E-Print Network [OSTI]

    on Starbucks Networks Minkyoung KimO Byoung-Tak Zhang Interdisciplinary Program in Cognitive ScienceO School

  3. Improving primary science great science

    E-Print Network [OSTI]

    Rambaut, Andrew

    Improving primary science Developing great science subject leadershipGreat ideas for primary science leaders from schools that value science. #12;2 | Primary science Where science has a good profile, investigative science with access to high-quality expertise, children are likely to enjoy learning the subject

  4. Network Management: State of the Art Raouf Boutaba and Jin Xiao

    E-Print Network [OSTI]

    Boutaba, Raouf

    network management as all measures ensuring the effective and efficient operations of a system within its: to provide network with high quality of service, minimize network downtime. Network management systems shouldNetwork Management: State of the Art Raouf Boutaba and Jin Xiao Department of Computer Science

  5. August | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Recovery and Reinvestment Act, the Advanced Networking Initiative, will ensure that the United States stays competitive in science and technology. Specifically, ESnet will...

  6. 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...

  7. Science and Science Fiction

    ScienceCinema (OSTI)

    Scherrer, Robert [Vanderbilt University, Nashville, Tennessee, United States

    2009-09-01

    I will explore the similarities and differences between the process of writing science fiction and the process of 'producing' science, specifically theoretical physics. What are the ground rules for introducing unproven new ideas in science fiction, and how do they differ from the corresponding rules in physics? How predictive is science fiction? (For that matter, how predictive is theoretical physics?) I will also contrast the way in which information is presented in science fiction, as opposed to its presentation in scientific papers, and I will examine the relative importance of ideas (as opposed to the importance of the way in which these ideas are presented). Finally, I will discuss whether a background as a research scientist provides any advantage in writing science fiction.

  8. Science Mathematics Engineering

    E-Print Network [OSTI]

    Hamlet, Richard

    Science Mathematics Engineering . ­ p.1 #12;Science Mathematics Engineering Science, Computer `Science', . ­ p.1 #12;Science Mathematics Engineering Science, Computer `Science', Mathematics, . ­ p.1 #12;Science Mathematics Engineering Science, Computer `Science', Mathematics, and Software Development

  9. 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.

  10. Flexible Hardware Abstraction for Wireless Sensor Networks

    E-Print Network [OSTI]

    California at Berkeley, University of

    Flexible Hardware Abstraction for Wireless Sensor Networks Vlado Handziski, Joseph Polastre, Jan; Computer Science Department Berkeley, CA 94720 US Abstract-- We present a flexible Hardware Abstraction gradually adapts the capabilities of the underlying hardware plat- forms to the selected platform

  11. 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

  12. 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

  13. Wine Science Wine Sciencee Science

    E-Print Network [OSTI]

    Wine Science Wine Sciencee Science Thomas Henick-Kling Professor of Enology Director of Viticulture & Enology Program #12;Wine Science Wine Science Growth of Washington Wine Industry #12;Wine Science Wine Science Wine Grapes utilized 2007 2008 2009 2010 WA 127,000 145,000 156,000 160,000 NY 24,000 26,000 30

  14. Faculty of Science General Science

    E-Print Network [OSTI]

    Faculty of Science General Science The General Science program gives you maximum flexibility to explore the sciences, plus the core requirements you need for on-going, specialized studies. www.uwindsor.ca/science Rigorous, Enriching Programs The BSc General Science program is a great way to explore your many interests

  15. 1 Biomedical Sciences BIOMEDICAL SCIENCES

    E-Print Network [OSTI]

    Vertes, Akos

    1 Biomedical Sciences BIOMEDICAL SCIENCES The interdisciplinary doctoral programs in the biomedical sciences are organized within the Institute for Biomedical Sciences. The first full year of study toward are admitted directly into the Institute for Biomedical Sciences through Columbian College of Arts and Sciences

  16. 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

  17. Observability of Neuronal Network Motifs (Invited Paper)

    E-Print Network [OSTI]

    Brennan, Sean

    Observability of Neuronal Network Motifs (Invited Paper) Andrew J. Whalen*t, Sean N. Brennan Engineering, + Engineering Science and Mechanics, Neurosurgery, and Physics, Penn State University, University) neuronal networks as a function of 1) the connection topology and sym metry, 2) the measured nodes, and 3

  18. 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.

  19. Master's Thesis Performance Measurement over 3G and 3.5G Wireless Networks

    E-Print Network [OSTI]

    Moon, Sue B.

    Master's Thesis 3 3.5 Performance Measurement over 3G and 3.5G Wireless Networks ( Han, Mongnam) Department of Electrical Engineering and Computer Science Division of Computer Science and 3.5G Wireless Networks 2 #12;Performance Measurement over 3G and 3.5G Wireless Networks Major

  20. Open Bibliography for Science, Technology, and Medicine

    E-Print Network [OSTI]

    Jones, Richard; MacGillivray, Mark; Murray-Rust, Peter; Pitman, Jim; Sefton, Peter; O'Steen, Ben; Waites, William

    2011-07-04

    The concept of Open Bibliography in science, technology and medicine (STM) is introduced as a combination of Open Source tools, Open specifications and Open bibliographic data. An Openly searchable and navigable network of bibliographic information...

  1. Computer Science Computer Science?

    E-Print Network [OSTI]

    Cafarella, Michael J.

    -M Programming, U-M Solar Car, Hybrid Racing, and the Mars Rover Team. Other groups that advance societal good. Michigan Hackers: Experimenting with technology gEECS: Girls in electrical engineering and computer science

  2. Is sustainability science really a science?

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

    Is sustainability science really a science? Is sustainability science really a science? The team's work shows that although sustainability science has been growing explosively...

  3. Materials Science & Engineering | More Science | ORNL

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

    More Science Home | Science & Discovery | More Science | Materials Science and Engineering SHARE Materials Science and Engineering ORNL's core capability in applied materials...

  4. 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

  5. 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

  6. Network-Design Sensitivity Analysis Paul Tune and Matthew Roughan

    E-Print Network [OSTI]

    Roughan, Matthew

    Network-Design Sensitivity Analysis Paul Tune and Matthew Roughan matthew University of Adelaide [3mm] )Network-Design Sensitivity Analysis July 2, 2014 1 / 29 #12;The Problem Traffic of Mathematical Sciences University of Adelaide [3mm] )Network-Design Sensitivity Analysis July 2, 2014 3 / 29 #12

  7. Using Neural Networks to Forecast Stock Market Prices Ramon Lawrence

    E-Print Network [OSTI]

    Lawrence, Ramon

    Using Neural Networks to Forecast Stock Market Prices Ramon Lawrence Department of Computer Science on the application of neural networks in forecasting stock market prices. With their ability to discover patterns in nonlinear and chaotic systems, neural networks offer the ability to predict market directions more

  8. Neural Pascal A Language for Neural Network Programming

    E-Print Network [OSTI]

    Gumm, H. Peter

    Neural Pascal A Language for Neural Network Programming H.Peter Gumm Dept. of Computer Science SUNY is an extension of object-oriented Pascal, designed to allow easy specification and simulation of neural networks through all elements of a linear datatype. 1. Introduction Neural network models are frequently visualized

  9. Intentional Mobility in Wireless Sensor Networks 1 INTENTIONAL MOBILITY IN

    E-Print Network [OSTI]

    Tseng, Yu-Chee

    applications, wireless sensor networks. 1. Introduction The rapid growth of micro-sensing MEMS and wirelessIntentional Mobility in Wireless Sensor Networks 1 Chapter 1 INTENTIONAL MOBILITY IN WIRELESS SENSOR NETWORKS You-Chiun Wang and Yu-Chee Tseng Department of Computer Science National Chiao

  10. 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. ...

  11. 1 Political Science POLITICAL SCIENCE

    E-Print Network [OSTI]

    Vertes, Akos

    1 Political Science POLITICAL SCIENCE With Capitol Hill nearby and the White House just blocks away, GW is the ideal place to study political science. Students in the program benefit from rigorous study and behavioral sciences discipline in the Columbian College of Arts and Sciences, the program examines politics

  12. Computer Science

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

    Cite Seer Department of Energy provided open access science research citations in chemistry, physics, materials, engineering, and computer science IEEE Xplore Full text...

  13. Statistical Sciences

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

    LeeAnn Martinez (505) 667-3308 Email Find Expertise header Search our employee skills database Statistical Sciences Statistical Sciences provides statistical reasoning and...

  14. The Network Completion Problem: Inferring Missing Nodes and Edges in Networks

    SciTech Connect (OSTI)

    Kim, M; Leskovec, J

    2011-11-14

    Network structures, such as social networks, web graphs and networks from systems biology, play important roles in many areas of science and our everyday lives. In order to study the networks one needs to first collect reliable large scale network data. While the social and information networks have become ubiquitous, the challenge of collecting complete network data still persists. Many times the collected network data is incomplete with nodes and edges missing. Commonly, only a part of the network can be observed and we would like to infer the unobserved part of the network. We address this issue by studying the Network Completion Problem: Given a network with missing nodes and edges, can we complete the missing part? We cast the problem in the Expectation Maximization (EM) framework where we use the observed part of the network to fit a model of network structure, and then we estimate the missing part of the network using the model, re-estimate the parameters and so on. We combine the EM with the Kronecker graphs model and design a scalable Metropolized Gibbs sampling approach that allows for the estimation of the model parameters as well as the inference about missing nodes and edges of the network. Experiments on synthetic and several real-world networks show that our approach can effectively recover the network even when about half of the nodes in the network are missing. Our algorithm outperforms not only classical link-prediction approaches but also the state of the art Stochastic block modeling approach. Furthermore, our algorithm easily scales to networks with tens of thousands of nodes.

  15. Mojtaba Abkenar, Nabil Al-Rousan, Tanjila Farah, Rajvir Gill, Sukhchandan Lally, Ravinder Paul, Don Xu, and Ljiljana Trajkovi Communication Networks Laboratory, School of Engineering Science, Simon Fraser University

    E-Print Network [OSTI]

    Trajkovic, Ljiljana

    transit providers are connected to routers via 1 Gig and 10 Gig network links · Data are sent to Traffic

  16. 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...

  17. Quantifying evolvability in small biological networks

    SciTech Connect (OSTI)

    Nemenman, Ilya; Mugler, Andrew; Ziv, Etay; Wiggins, Chris H

    2008-01-01

    The authors introduce a quantitative measure of the capacity of a small biological network to evolve. The measure is applied to a stochastic description of the experimental setup of Guet et al. (Science 2002, 296, pp. 1466), treating chemical inducers as functional inputs to biochemical networks and the expression of a reporter gene as the functional output. The authors take an information-theoretic approach, allowing the system to set parameters that optimise signal processing ability, thus enumerating each network's highest-fidelity functions. All networks studied are highly evolvable by the measure, meaning that change in function has little dependence on change in parameters. Moreover, each network's functions are connected by paths in the parameter space along which information is not significantly lowered, meaning a network may continuously change its functionality without completely losing it along the way. This property further underscores the evolvability of the networks.

  18. 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

  19. Transportation Network Equilibrium --The Formalism for Networks Today from the Internet

    E-Print Network [OSTI]

    Nagurney, Anna

    #12;US Railroad Freight Flows #12;Natural Gas Pipeline Network in the US #12;World Oil Trading Network Econometrics Input/Output Analysis Engineering - OR/MS Computer Science Routing Algorithms Price of Anarchy; · alternative and at times conflicting criteria used in decision-making; · constraints on resources: natural

  20. Nuclear Sciences | More Science | ORNL

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

    Nuclear Sciences SHARE Nuclear Sciences In World War II's Manhattan Project, ORNL helped usher in the nuclear age. Today, laboratory scientists are leaders in using nuclear...

  1. Nuclear Sciences | More Science | ORNL

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

    Sciences SHARE Nuclear Sciences In World War II's Manhattan Project, ORNL helped usher in the nuclear age. Today, laboratory scientists are leaders in using nuclear technologies...

  2. Nuclear Science | More Science | ORNL

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

    Science SHARE Nuclear Science In World War II's Manhattan Project, ORNL helped usher in the nuclear age. Today, laboratory scientists are leaders in using nuclear technologies and...

  3. 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

  4. Configurable Dynamic Privacy for Pervasive Sensor Networks Nan-Wei Gong

    E-Print Network [OSTI]

    1 Configurable Dynamic Privacy for Pervasive Sensor Networks by Nan-Wei Gong Submitted Privacy for Pervasive Sensor Networks by Nan-Wei Gong Submitted to the Program in Media Arts and Sciences

  5. Urban Wireless Community Networks: Challenges and Solutions for Smart City Communications

    E-Print Network [OSTI]

    Lo Cigno, Renato Antonio

    Urban Wireless Community Networks: Challenges and Solutions for Smart City Communications Renato Lo science that can guide the design of the future communication space for smart cities and beyond; Wireless communication Keywords Wireless Community Networks; Smart Urban Environments; Crowd Design

  6. 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

  7. SCIENCE CHINA Technological Sciences

    E-Print Network [OSTI]

    Wang, Zhong L.

    University, Lanzhou 730000, China; 3 School of Material Science and Engineering, Georgia Institute on the piezoelectric semiconductor materials, such as ZnO, ZnS, CdS and GaN. With the usage of these piezoelectric.37 eV and large free-exciton binding energy of 60 meV at room temperature. Furthermore, splendid one

  8. Business Groups, Networks, And Embeddedness: Innovation And Implementation Alliances In Japanese Electronics, 1985-1998

    E-Print Network [OSTI]

    Lincoln, James R.; Guillot, Didier

    2011-01-01

    2000. "Don't Go It Alone: Alliance Network Composition andConcerns in Strategic Alliances." Administrative SciencePress. Gerlach, Michael L. Alliance Capitalism: The Social

  9. Earth Sciences Environmental Earth Sciences,

    E-Print Network [OSTI]

    Brierley, Andrew

    84 Earth Sciences­ Environmental Earth Sciences, Geology MGeol (Single Honours Degrees) Earth Sciences BSc (Single Honours Degrees) Environmental Earth Sciences Geology BSc (Joint Honours Degrees) and among the most research-intensive in Europe. Features * The Department of Earth and Environmental

  10. Science Education Programs | Neutron Science | ORNL

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

    Scattering Tutorials Kids' Corner NScD Careers Supporting Organizations Neutron Science Home | Science & Discovery | Neutron Science | Science and Education SHARE Inspiring...

  11. Biology | More Science | ORNL

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

    Atmospheric Sciences Materials Science and Engineering Mathematics Physics Environment Safety and Health More Science Home | Science & Discovery | More Science | Biology SHARE...

  12. NERSC Science Gateways

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

    Users Science Gateways Science Gateways About Science Gateways A science gateway is a web based interface to access HPC computers and storage systems. Gateways allow science...

  13. ESnet: Large-Scale Science and Data Management ( (LBNL Summer Lecture Series)

    ScienceCinema (OSTI)

    Johnston, Bill

    2011-04-28

    Summer Lecture Series 2004: Bill Johnston of Berkeley Lab's Computing Sciences is a distinguished networking and computing researcher. He managed the Energy Sciences Network (ESnet), a leading-edge, high-bandwidth network funded by DOE's Office of Science. Used for everything from videoconferencing to climate modeling, and flexible enough to accommodate a wide variety of data-intensive applications and services, ESNet's traffic volume is doubling every year and currently surpasses 200 terabytes per month.

  14. Virtualized Network Control. Final Report

    SciTech Connect (OSTI)

    Ghani, Nasir

    2013-02-01

    This document is the final report for the Virtualized Network Control (VNC) project, which was funded by the United States Department of Energy (DOE) Office of Science. This project was also informally referred to as Advanced Resource Computation for Hybrid Service and TOpology NEtworks (ARCHSTONE). This report provides a summary of the project's activities, tasks, deliverable, and accomplishments. It also provides a summary of the documents, software, and presentations generated as part of this projects activities. Namely, the Appendix contains an archive of the deliverables, documents, and presentations generated a part of this project.

  15. Controlling synchronization in large laser networks using number theory

    E-Print Network [OSTI]

    Micha Nixon; Moti Fridman; Eitan Ronen; Asher A. Friesem; Nir Davidson; Ido Kanter

    2011-12-18

    Synchronization in networks with delayed coupling are ubiquitous in nature and play a key role in almost all fields of science including physics, biology, ecology, climatology and sociology. In general, the published works on network synchronization are based on data analysis and simulations, with little experimental verification. Here we develop and experimentally demonstrate various multi-cluster phase synchronization scenarios within coupled laser networks. Synchronization is controlled by the network connectivity in accordance to number theory, whereby the number of synchronized clusters equals the greatest common divisor of network loops. This dependence enables remote switching mechanisms to control the optical phase coherence among distant lasers by local network connectivity adjustments. Our results serve as a benchmark for a broad range of coupled oscillators in science and technology, and offer feasible routes to achieve multi-user secure protocols in communication networks and parallel distribution of versatile complex combinatorial tasks in optical computers.

  16. Quantifying the robustness of metro networks

    E-Print Network [OSTI]

    Wang, Xiangrong; Derrible, Sybil; Ahmad, Sk Nasir; Kooij, Robert E

    2015-01-01

    Metros (heavy rail transit systems) are integral parts of urban transportation systems. Failures in their operations can have serious impacts on urban mobility, and measuring their robustness is therefore critical. Moreover, as physical networks, metros can be viewed as network topological entities, and as such they possess measurable network properties. In this paper, by using network science and graph theoretical concepts, we investigate both theoretical and experimental robustness metrics (i.e., the robustness indicator, the effective graph conductance, and the critical thresholds) and their performance in quantifying the robustness of metro networks under random failures or targeted attacks. We find that the theoretical metrics quantify different aspects of the robustness of metro networks. In particular, the robustness indicator captures the number of alternative paths and the effective graph conductance focuses on the length of each path. Moreover, the high positive correlation between the theoretical m...

  17. Theoretical Computer Science 434 (2012) 1122 Contents lists available at SciVerse ScienceDirect

    E-Print Network [OSTI]

    Bonato, Anthony

    2012-01-01

    is a simplified model for the spread of a fire (or disease or computer virus) in a network. A fire breaks out, and computer viruses in graphs. All graphs we consider are connected, finite (except in Section 4), simpleTheoretical Computer Science 434 (2012) 11­22 Contents lists available at SciVerse Science

  18. Science Highlight December 2010 Electrochemical Surface Science: Hard X-rays Probe Fuel Cell Model Catalyst

    E-Print Network [OSTI]

    Wechsler, Risa H.

    Science Highlight ­ December 2010 Electrochemical Surface Science: Hard X-rays Probe Fuel Cell. Proton exchange membrane fuel cells (PEMFCs) are promising power sources since they can generate distribution network. Large-scale deployment of fuel cells, however, has been hampered by cost and performance

  19. Big Science

    ScienceCinema (OSTI)

    Dr. Thomas Zacharia

    2010-01-08

    Big science seeks big solutions for the most urgent problems of our times. Video courtesy Cray, Inc.

  20. TECHNICAL REPORT CIS-TR-04-06, DEPARTMENT OF COMPUTER SCIENCE, UNIVERSITY OF OREGON, NOVEMBER 2004 1 Towards a Better Understanding of Churn in Peer-to-Peer Networks

    E-Print Network [OSTI]

    Rejaie, Reza

    1 Towards a Better Understanding of Churn in Peer-to-Peer Networks Daniel Stutzbach, Reza Rejaie agthorr, reza @cs.uoregon.edu Abstract-- The dynamics of peer participation, or churn, are an inherent systems. This requires a proper characterization of churn in real-world P2P networks. However, the few

  1. Science-Driven Network Requirements for ESnet

    E-Print Network [OSTI]

    2006-01-01

    use of Grid middleware, Grid security services, and metadatamembers and the use of Grid security tools and services. •

  2. HEP Science Network Requirements--Final Report

    E-Print Network [OSTI]

    Dart Ed, Eli

    2010-01-01

    e.g. for the International Linear Collider (ILC) or Super-BILC: International Linear Collider – see http://

  3. Science-Driven Network Requirements for ESnet

    E-Print Network [OSTI]

    2006-01-01

    Greenwald, MIT (Magnetic Fusion Energy) Jason Hodges, ORNL (Schissel, GA (Magnetic Fusion Energy) Gary Strand, NCAR (2-18 Magnetic Fusion Energy

  4. HEP Science Network Requirements--Final Report

    E-Print Network [OSTI]

    Dart Ed, Eli

    2010-01-01

    1 centers for CMS that reprocess and serve data as well asexperiments expect to reprocess the complete data samples 3-1s will also be asked to reprocess previously collected data

  5. HEP Science Network Requirements--Final Report

    E-Print Network [OSTI]

    Dart Ed, Eli

    2010-01-01

    The Tier-1s have reprocessing and skimming responsibilitiesthe data samples by reprocessing with improved calibration,data is responsible for reprocessing, but the reconstructed

  6. High Performance Networks for High Impact Science

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation CurrentHenry Bellamy, Ph.D. Title: Professor -| Argonne Leadership. H LHPC

  7. Fermilab | Science at Fermilab | Computing | Networking

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article) | SciTechSubmitted More Often (GISMO)Detectors and

  8. Information Science, Computing, Applied Math

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

    Information Science, Computing, Applied Math science-innovationassetsimagesicon-science.jpg Information Science, Computing, Applied Math National security depends on science...

  9. Equilibria and Dynamics of Supply Chain Network Competition

    E-Print Network [OSTI]

    Nagurney, Anna

    Student Department of Operations & Information Management Isenberg School of Management University with information asymmetry in quality and minimum quality standards, Computational Management Science, 11(3), 285Equilibria and Dynamics of Supply Chain Network Competition with Information Asymmetry in Quality

  10. Equilibria and Dynamics of Supply Chain Network Competition

    E-Print Network [OSTI]

    Nagurney, Anna

    Student Department of Operations & Information Management Isenberg School of Management University in quality and minimum quality standards, Computational Management Science, in press, where a full listEquilibria and Dynamics of Supply Chain Network Competition with Information Asymmetry in Quality

  11. Nanoscale Pore Network and Pore Fluid Characterization from Neutron...

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

    Nanoscale Pore Network and Pore Fluid Characterization from Neutron Scattering and Modeling Techniques Jul 22 2015 10:00 AM - 11:00 AM Gernot Rother, Chemical Sciences Division...

  12. Error bars for linear and nonlinear neural network regression models

    E-Print Network [OSTI]

    Penny, Will

    Error bars for linear and nonlinear neural network regression models William D. Penny and Stephen J College of Science, Technology and Medicine, London SW7 2BT., U.K. w.penny@ic.ac.uk, s

  13. STOKED ABOUT SCIENCE? Science Summer

    E-Print Network [OSTI]

    Machel, Hans

    ) · Sunscreen & Bug Spray · www.science.ualberta.ca/summercamps Proper footwear (no flip flops) #12;Half Day

  14. 1 Geological Sciences GEOLOGICAL SCIENCES

    E-Print Network [OSTI]

    Vertes, Akos

    1 Geological Sciences GEOLOGICAL SCIENCES Geological sciences' faculty members are engaged in research on the geology and paleontology of the Appalachian and Rocky mountains, Asia and elsewhere. They collaborate with scientists from the U.S. Geological Survey and other international organizations. Research

  15. Earth and Environmental Sciences

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

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

  16. Earth and Environmental Sciences

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES Science Network Requirements ReportEES Division Earth and

  17. Synchronization in complex networks

    E-Print Network [OSTI]

    Arenas, A.

    2009-01-01

    engineering and computer science, and economy and socialengineering and computer science, and economy and so- cial

  18. 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

  19. 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...

  20. Sprinkler: A reliable and energy efficient data dissemination service for extreme scale wireless networks of embedded devices

    E-Print Network [OSTI]

    Naik, Vinayak; Arora, Anish; Sinha, Prasun; Zhang, Hongwei

    2007-01-01

    for Ad Hoc Networks,” Technical Report CS-TR-4559, ComputerScale Experiments,” technical report, Computer Science andfor Sensor Networks,” Technical Report UCB/CSD-05-1372,

  1. Multi-objective Mobile Agent Routing in Wireless Sensor Networks Ramesh Rajagopalan, Chilukuri K. Mohan, Pramod Varshney, Kishan Mehrotra

    E-Print Network [OSTI]

    Coello, Carlos A. Coello

    Due to their flexibility and cost effectiveness, wireless sensor networks (WSNs) have been usedMulti-objective Mobile Agent Routing in Wireless Sensor Networks Ramesh Rajagopalan, Chilukuri K. Mohan, Pramod Varshney, Kishan Mehrotra Electrical Engineering and Computer Science Dept., Syracuse

  2. Quantum Techniques for Reaction Networks

    E-Print Network [OSTI]

    John C. Baez

    2013-06-14

    Reaction networks are a general formalism for describing collections of classical entities interacting in a random way. While reaction networks are mainly studied by chemists, they are equivalent to Petri nets, which are used for similar purposes in computer science and biology. As noted by Doi and others, techniques from quantum field theory can be adapted to apply to such systems. Here we use these techniques to study how the "master equation" describing stochastic time evolution for a reaction network reduces is related to the "rate equation" describing the deterministic evolution of the expected number of particles of each species in the large-number limit. We show that the relation is especially strong when a solution of master equation is a "coherent state", meaning that the numbers of entities of each kind are described by independent Poisson distributions.

  3. 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...

  4. Search for gravitational waves associated with the InterPlanetary Network short gamma ray bursts

    E-Print Network [OSTI]

    California at Berkeley, University of

    Search for gravitational waves associated with the InterPlanetary Network short gamma ray bursts V with short gamma ray bursts detected by the InterPlanetary Network (IPN) during LIGO's fifth science run and Virgo's first science run. The IPN localisation of short gamma ray bursts is limited to extended error

  5. Deadline-sensitive Opportunistic Utility-based Routing in Cyclic Mobile Social Networks

    E-Print Network [OSTI]

    Wu, Jie

    Institute for Advanced Study, University of Science and Technology of China, Hefei, P. R. China Department Science and Technology, Soochow University, Suzhou, P. R. China Abstract--A cyclic mobile social network (MSN) is a new type of delay tolerant network, in which mobile users periodically move around

  6. Computer Science | More Science | ORNL

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

    computation capability includes experts in system software, component technology, architecture algorithms, virtualization, networking, real-time and large-scale data analytics,...

  7. Designing Mobility Models based on Social Networks Theory

    E-Print Network [OSTI]

    Mascolo, Cecilia

    Designing Mobility Models based on Social Networks Theory Mirco Musolesi Cecilia Mascolo m in social sciences for years. In this paper we propose a new mobility model founded on social network theory of the validation is, therefore, highly dependent on how realistic the movement models used in the simulations are

  8. Networks, Dynamics, and the Small-World Phenomenon1

    E-Print Network [OSTI]

    Terzi, Evimaria

    to be widespread in the social and natural sciences, as is indicated here by three dis- tinct examples. Furthermore, small admixtures of randomness to an otherwise ordered network can have a dramatic impact on its dy- ture of modern social networks and, hence, not unlikely at all? Further- more, if the small

  9. Wireless Network Security Partha Dasgupta and Tom Boyd

    E-Print Network [OSTI]

    Dasgupta, Partha

    Wireless Network Security Partha Dasgupta and Tom Boyd Dept. of Computer Science and Engineering Fulton School of Engineering Arizona State University partha@asu.edu, tboyd@asu.edu Abstract Wireless, there are a variety of attack methods that can be used against the users of wireless networks. Modern wireless data

  10. UNDERSTANDING CHURN IN DECENTRALIZED PEER-TO-PEER NETWORKS

    E-Print Network [OSTI]

    Yao, Zhongmei

    UNDERSTANDING CHURN IN DECENTRALIZED PEER-TO-PEER NETWORKS A Dissertation by ZHONGMEI YAO Submitted for the degree of DOCTOR OF PHILOSOPHY August 2009 Major Subject: Computer Science #12;UNDERSTANDING CHURN;iii ABSTRACT Understanding Churn in Decentralized Peer-to-Peer Networks. (August 2009) Zhongmei Yao, B

  11. Laplacian Spectra and Synchronization Processes on Complex Networks

    E-Print Network [OSTI]

    Chen, Guanrong "Ron"

    a great deal of information about the network structure and plays a fundamental role in the dynamical.), Handbook of Optimization in Complex Networks: Theory and Applications, Springer Optimization and Its Applications 57, DOI 10.1007/978-1-4614-0754-6 4, © Springer Science+Business Media, LLC 2012 81 #12;82 J. Chen

  12. [Faculty of Science Information and Computing Sciences

    E-Print Network [OSTI]

    Löh, Andres

    [Faculty of Science Information and Computing Sciences] Terminating combinator parsers in Agda and Computing Sciences Utrecht University June 12, 2008 #12;[Faculty of Science Information and Computing Information and Computing Sciences] 3 Totality #12;[Faculty of Science Information and Computing Sciences] 4

  13. Academy of Integrated Science College of Science

    E-Print Network [OSTI]

    Zallen, Richard

    FALL 2015 Academy of Integrated Science College of Science Virginia Tech Integrated Science SCIENCE CURRICULUM COMPILED BY NORA SULLIVAN PROGRAM ACADEMIC ADVISOR ACADEMY OF INTEGRATED SCIENCE COLLEGE OF SCIENCE VIRGINIA TECH NORA84@VT.EDU 540-231-2442 WWW.SCIENCE.VT.EDU/AIS/ISC #12

  14. Nuclear Science | ORNL

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

    and Reports News and Awards Supporting Organizations Home | Science & Discovery | Nuclear Science Nuclear Science | Nuclear Science SHARE In World War II's Manhattan Project,...

  15. Information Science

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

    Information Science and Technology (ASIS&T) American Society for Indexing (ASI) Digital Library Federation (DLF) National Archives and Records Administration (NARA) Special...

  16. Northwestern University Department of Electrical Engineering and Computer Science

    E-Print Network [OSTI]

    Berry, Randall

    , statistics, machine learning, data networks, operations research, information theory, control theory Processes in Communications and Control I Winter 2015 Information Sheet: Instructor: Prof. Randall Berry, theoretical computer science, quantum theory, game theory, finance, and neurophysiology. This course

  17. (Dept. of Urban & Regional Planning) WICCI Science Council

    E-Print Network [OSTI]

    Sheridan, Jennifer

    Jim LaGro UW-Madison (Dept. of Urban & Regional Planning) WICCI Science Council October 28, 2011 Unlimited Wisconsin Citizen-Based Monitoring Network Wisconsin Environmental Initiative Wisconsin River

  18. What Makes Science, Science? Research, Shared Effort ... & A...

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

    Makes Science, Science? Research, Shared Effort ... & A New Office of Science Website What Makes Science, Science? Research, Shared Effort ... & A New Office of Science Website...

  19. NREL: Energy Sciences - Chemical and Materials Science

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

    in the U.S. Department of Energy (DOE) National Photovoltaic Program and DOE Basic Energy Sciences Program. Materials Science. The Materials Science Group's research...

  20. Master's Thesis Growth in Online Social Networks: Sheer Volume vs Social

    E-Print Network [OSTI]

    Moon, Sue B.

    Korea Advanced Institute of Science and Technology 2008 #12; Growth in Online Social Networks: Sheer Master's Thesis Growth in Online Social Networks: Sheer Volume vs Social Interaction Volume vs Social Interaction 2 #12;Growth in Online Social Networks: Sheer Volume vs Social Interaction

  1. Network Theory 1. Tuesday 25 February, 3:30 pm: electrical circuits and

    E-Print Network [OSTI]

    Baez, John

    . Tuesday 4 March, 3:30 pm: stochastic Petri nets, chemical reaction networks and Feynman diagrams. 3Network Theory 1. Tuesday 25 February, 3:30 pm: electrical circuits and signal-flow graphs. 2. Tuesday 11 March, 3:30 pm: Bayesian networks, information and entropy. #12;In many areas of science

  2. An Efficiency Measure for Dynamic Networks with Application to the Internet and Vulnerability

    E-Print Network [OSTI]

    Nagurney, Anna

    Networks Oil and natural gas networks Electricity generation and distribution networks Supply chain and Methods in Applied Sciences 4, 471-489. Daniele, P. (2004). Time-Dependent Spatial Price Equilibrium of Prices, Flows, and Profits, Edward Elgar Publishing, Cheltenham, England. Nagurney, A., Liu, Z., Cojocaru

  3. Principles and Design Considerations for Short-Range Energy Balanced Radar Networks

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    behind "Off- The-Grid" (OTG) weather radar networks. These are envisioned as self-contained networks. Donovan1 , David J. McLaughlin1 , Jim Kurose2 1 Electrical and Computer Engineering, 2 Computer Science of the troposphere that are unobserved by today's long-range weather radars. Future distributed radar networks

  4. Speed faults in computation by chemical reaction networks Ho-Lin Chen

    E-Print Network [OSTI]

    Speed faults in computation by chemical reaction networks Ho-Lin Chen Rachel Cummings David Doty§ David Soloveichik¶ Abstract Chemical reaction networks (CRNs) formally model chemistry in a well in natural sciences is that of chemical reaction networks (CRNs), i.e., (finite) sets of chemical reactions

  5. 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

  6. Life sciences

    SciTech Connect (OSTI)

    Day, L. (ed.)

    1991-04-01

    This document is the 1989--1990 Annual Report for the Life Sciences Divisions of the University of California/Lawrence Berkeley Laboratory. Specific progress reports are included for the Cell and Molecular Biology Division, the Research Medicine and Radiation Biophysics Division (including the Advanced Light Source Life Sciences Center), and the Chemical Biodynamics Division. 450 refs., 46 figs. (MHB)

  7. Learning Bayesian Networks for Relational Databases

    E-Print Network [OSTI]

    Glymour, Clark

    Learning Bayesian Networks for Relational Databases Oliver Schulte School of Computing Science > 3.0. Multi-billion dollar industry, $15+ bill in 2006. IBM, Microsoft, Oracle, SAP. Much interest. Defining model selection scores. Computing sufficient statistics. Work in Progress. Anomaly Detection

  8. Underground Structure Monitoring with Wireless Sensor Networks

    E-Print Network [OSTI]

    Liu, Yunhao

    University of Science and Technology {limo, liu}@cse.ust.hk ABSTRACT Environment monitoring in coal mines to better serve people by automatically monitoring and interacting with physical environments. EnvironmentUnderground Structure Monitoring with Wireless Sensor Networks Mo Li, Yunhao Liu Hong Kong

  9. Suppressing cascades of load in interdependent networks

    E-Print Network [OSTI]

    D'Souza, Raissa

    'Souzab,c,d,e , and E. A. Leichtf a Department of Mathematics, b Complexity Sciences Center, c Department of Mechanical in coupled electric grids and other infrastructure, we study the Bak­ Tang­Wiesenfeld sandpile model network, for instance, turns turbines and cools nuclear reactors in the electrical grid, which powers

  10. INFORMATION NETWORKS TECHNOLOGY MANAGEMENT Spring 2015

    E-Print Network [OSTI]

    MSIS 5623 INFORMATION NETWORKS TECHNOLOGY MANAGEMENT Spring 2015 Spears School of Business Oklahoma State University Instructor: Dr. Jeretta Horn Nord, Professor Management Science and Information Systems Classroom: Online Class: http://oc.okstate.edu Contact Information: Office: Business 223 Stillwater Email

  11. Hierarchical Task Network Planning As Satis ability

    E-Print Network [OSTI]

    Mali, Amol D.

    Hierarchical Task Network Planning As Satis#12;ability #3; Amol Dattatraya Mali Dept. of Elect. Engg. & Computer Science, P.O.Box 784, University of Wisconsin, Milwaukee, WI 53201, USA mali planning [Mali & Kambhampati 98], no empirical results on the performance of the encodings of HTN planning

  12. Bachelor of Science & Bachelor of Science (Technology)

    E-Print Network [OSTI]

    Waikato, University of

    Bachelor of Science & Bachelor of Science (Technology) SpecialiSationS Environmental Microbiology environment. This specialisation can be attached to the Environmental Sciences major. Environmental Modelling Sciences major. Land and Freshwater Environments This specialisation is for students interested

  13. Science Learning+: Phase 1 projects Science Learning+

    E-Print Network [OSTI]

    Rambaut, Andrew

    Science Learning+: Phase 1 projects Science Learning+ Phase 1 projects 2 December 2014 #12..............................................................................................................4 Youth access and equity in informal science learning: developing a research and practice agenda..................................................................................................5 Enhancing informal learning through citizen science..............................................6

  14. 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

  15. 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

  16. ComputerScience,TexasA&MUniversity Modeling Heterogeneous User

    E-Print Network [OSTI]

    Loguinov, Dmitri

    1 ComputerScience,TexasA&MUniversity Modeling Heterogeneous User Churn and Local Resilience of Unstructured P2P Networks Modeling Heterogeneous UserModeling Heterogeneous User Churn and Local Resilience ofChurn Churn and Local Resilience of Unstructured P2P Networks Modeling Heterogeneous User

  17. Security Science & Technology | Nuclear Science | ORNL

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    Security Treaty Verification Nuclear Systems Modeling, Simulation & Validation Nuclear Systems Technology Reactor Technology Nuclear Science Home | Science & Discovery |...

  18. Earth and Atmospheric Sciences | More Science | ORNL

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    Earth and Atmospheric Sciences Nuclear Forensics Climate & Environment Sensors and Measurements Chemical & Engineering Materials Computational Earth Science Systems Modeling...

  19. College of Health Sciences Health Sciences Connection

    E-Print Network [OSTI]

    Barrash, Warren

    College of Health Sciences Health Sciences Connection 1 Dean's Message College of Health Sciences Health Sciences Connection February 2011 Volume IX (3) Since the last COHS newsletter, the faculty Dr. Tim Dunnagan, Dean #12;Health Sciences Connection 2 College News College of Health Sciences

  20. Web of Science Web of ScienceWeb of Science

    E-Print Network [OSTI]

    Wang, Yayu

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

  1. Computer Science UNDERGRADUATE

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    447 Computer Science UNDERGRADUATE PROGRAMS The Department of Computer Science provides undergraduate instruction leading to the bachelor's degree in computer science. This program in computer science is accredited by the Computer Science Accreditation Board (CSAB), a specialized accrediting body recognized

  2. Department of Materials Science &

    E-Print Network [OSTI]

    Zhigilei, Leonid V.

    Developing Leaders of Innovation Department of Materials Science & Engineering #12;At the University of Virginia, students in materials science, engineering physics and engineering science choose to tackle compelling issues in materials science and engineering or engineering science

  3. COMPUTER SCIENCE EECS Department

    E-Print Network [OSTI]

    COMPUTER SCIENCE EECS Department The Electrical Engineering and Computer Science (EECS) Department at WSU offers undergraduate degrees in electrical engineering, computer engineering and computer science. The EECS Department offers master of science degrees in computer science, electrical engineering

  4. Supporting Organizations | Nuclear Science | ORNL

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

    Nuclear Science Engineering Fusion & Materials for Nuclear Systems Nuclear Science Home | Science & Discovery | Nuclear Science | Supporting Organizations SHARE Supporting...

  5. Science Magazine

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

    & ANALYSIS www.sciencemag.org SCIENCE VOL 339 8 FEBRUARY 2013 635 Steven Chu, the fi rst Nobel-winning scien- tist to lead the sprawling U.S. Department of Energy (DOE), has rarely...

  6. Science Museum

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

    Nanotechnology and algae biofuels exhibits open July 26 at the Bradbury Science Museum July 22, 2013 LOS ALAMOS, N.M., July 22, 2013-Los Alamos National Laboratory's Bradbury...

  7. 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

  8. Milano Leonardo Campus Master of Science in

    E-Print Network [OSTI]

    and control in vehicles Automation of energy systems Control of industrial robots Production systems control and distribution networks, food industry, electrical appliances and home automation, and environmental resourcesMilano Leonardo Campus e Master of Science in Automation and Control Engineering www

  9. UNIVERSITY OF CALIFORNIA Science Studies Program

    E-Print Network [OSTI]

    UNIVERSITY OF CALIFORNIA SAN DIEGO Science Studies Program Student Handbook 2008-2009 Graduate in their disciplines to prepare for their qualifying exams. SSP students are nonetheless encouraged to select to computer networks - in mediating human ex- perience and shaping the social and material environment

  10. Master of Science Thesis Stockholm, Sweden 2009

    E-Print Network [OSTI]

    Maguire Jr., Gerald Q.

    world applications and allowed an evaluation of both the qualitative and quantitative aspects of ourMaster of Science Thesis Stockholm, Sweden 2009 TRITA-ICT-EX-2009:220 C H R I S T O P H E R O L and Communication Technology #12;Programming Disconnected Operations in Wireless Sensor Networks Masters Thesis

  11. 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

  12. Faculty of Science Environmental Science

    E-Print Network [OSTI]

    for career success. An Environmental Science degree is also appropriate background training for professions Resources A new and integrated set of state-of-the-art laboratory and field equipment has been designed

  13. Neutron Science | More Science | ORNL

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

    ORNL's long history of neutron science began in the 1940s with the pioneering neutron scattering studies of Ernest Wollan and Clifford Shull. Shull was co-recipient of...

  14. HEALTH SCIENCE CENTER HANDBOOK OF OPERATING PROCEDURES Chapter 5 Information Management & Services Effective: June 2003

    E-Print Network [OSTI]

    Nicholson, Bruce J.

    HEALTH SCIENCE CENTER HANDBOOK OF OPERATING PROCEDURES Chapter 5 Information Management & Services sensitive Health Science Center information, particularly confidential/high risk data, administrator access of information on computers connected to the Health Science Center network is the responsibility of the user

  15. HEALTH SCIENCE CENTER HANDBOOK OF OPERATING PROCEDURES Chapter 5 Information Management & Services Effective: June 2000

    E-Print Network [OSTI]

    Nicholson, Bruce J.

    HEALTH SCIENCE CENTER HANDBOOK OF OPERATING PROCEDURES Chapter 5 Information Management & Services of Texas Responsibility: Vice President and Chief Information Officer Page 1 of 1 TELECONFERENCE NETWORK in the health sciences in support of the missions of the Health Science Center. The role of Teleconference

  16. The Science of Team Science: Origins and Themes The Science of Team Science

    E-Print Network [OSTI]

    Finley Jr., Russell L.

    The Science of Team Science: Origins and Themes The Science of Team Science Overview of the Field, PhD Abstract: The science of team science encompasses an amalgam of conceptual and methodologic about the cost effectiveness of public- and private-sector investments in team-based science

  17. Statistics and Actuarial Science

    E-Print Network [OSTI]

    Chauve, Cedric

    SCIENCE SFU.CA/ SCIENCE Statistics and Actuarial Science #12;Further Information Student info, academic calendar, registration students.sfu.ca Science advising sfu.ca/science/undergrad/advising Statistics and Actuarial Science The Department of Statistics and Actuarial Science offers the degree

  18. 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

  19. Network Abstractions:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesofPublications TheScience4.21 4.43EnergyAuthor:

  20. Network Activity

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesofPublications TheScience4.21 4.43EnergyAuthor:Statistics »

  1. Network Maps

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesofPublications TheScience4.21 4.43EnergyAuthor:Statistics »

  2. Network Policies

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesofPublications TheScience4.21

  3. Science DMZ Implemented at NERSC

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

    NERSC Science Engagement Move your data Programs & Workshops Science Requirements Reviews Case Studies OSCARS Case Studies Science DMZ Case Studies Science DMZ @ UF Science DMZ @...

  4. Information science is neither

    E-Print Network [OSTI]

    Furner, J

    2015-01-01

    of library and information sciences, 3rd ed. , edited byAmerican Society for Information Science and Technology 63,Annual Review of Information Science and Technology 41, no.

  5. Physics | More Science | ORNL

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

    Physics ORNL Physics Environment Safety and Health More Science Home | Science & Discovery | More Science | Physics SHARE Physics Bottom view of the 25 million volt tandem...

  6. Science & Discovery | ORNL

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

    Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing and Computation More Science Hubs, Centers and Institutes US ITER Mars 'Curiosity'...

  7. ORISE: Forensic Science

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

    Forensic Science Forensic Science The Oak Ridge Institute for Science and Education (ORISE) provides direct forensic analytical support, consulting and training services to United...

  8. Computational Science and Engineering

    E-Print Network [OSTI]

    Giger, Christine

    Computational Science and Engineering Research Profile The Computational Science and Engineering and Process Engineering Computational Science and Engineering Laboratory Prof. Dr. Petros Koumoutsakos petros

  9. Earth & Environmental Science

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    Earth & Environmental Science Earth & Environmental Science1354608000000Earth & Environmental ScienceSome of these resources are LANL-only and will require Remote Access.No...

  10. Neural Social Science

    E-Print Network [OSTI]

    Lakoff, George

    2013-01-01

    interpersonal warmth . ” Science, 322, 2008, 606–607 . Atcold? ” Psychological Science , 19, 2008, 838–842. Subjectsand physical cleansing. Science, 313, 1451–1452. Students

  11. Citizen science in archaeology

    E-Print Network [OSTI]

    Smith, ML

    2014-01-01

    Melinda A. Zeder Smith] CITIZEN SCIENCE IN ARCHAEOLOGY 2014and Application of Citizen Science. Biological ConservationHilchey 2011 A Review of Citizen Science and Community-Based

  12. Nuclear Science & Technology

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  13. [Faculty of Science Information and Computing Sciences

    E-Print Network [OSTI]

    Löh, Andres

    [Faculty of Science Information and Computing Sciences] 1 Types in Functional Programming Languages Andres L¨oh Department of Information and Computing Sciences Utrecht University UU General Math Colloquium ­ May 8, 2008 #12;[Faculty of Science Information and Computing Sciences] 2 Overview What

  14. History of Science 157 Sociology of Science

    E-Print Network [OSTI]

    Shapin, Steven

    1 History of Science 157 Sociology of Science Fall 2009 Steven Shapin Science Center 469 Tuesdays to thinking about science, its historical development, its relations to society and other forms of culture: Science Center 451 Office hours: Mondays 8:30 -> 10.15, or by arrangement #12;2 E-mail: shapin

  15. College of Health Sciences Health Sciences Connection

    E-Print Network [OSTI]

    Barrash, Warren

    College of Health Sciences Health Sciences Connection 1 Dean's Message College of Health Sciences Health Sciences Connection Back to School edition September 2010 Volume IX (1) Dr. Tim Dunnagan, Dean of the College of Health Sciences (COHS) at Boise State University (BSU). It is truly an honor to have

  16. 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 ...

  17. 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 ...

  18. 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...

  19. 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

  20. Science Highlights

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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 WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopment Top LDRDUniversitySchedules PrintNIF AboutScienceScience

  1. Science 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 WebQuantityBonneville Power AdministrationRobust, High-ThroughputUpcoming ReleaseSecurityPediatricNOAA ScienceScience Highlights Print

  2. Computers & Security Vol.18, No.8, pp.727-733, 1999 Copyright 0 1999 Elsevier Science Limited

    E-Print Network [OSTI]

    Shieh, Shiuhpyng Winston

    ELSEVIER Computers & Security Vol.18, No.8, pp.727-733, 1999 Copyright 0 1999 Elsevier Science a network system, he * This work was supported by the National Science Council, Taiwan under contract NSC86 verification approach is to directly store and maintain a directory of users' IDS and PWs in the network system

  3. Optimal Remote Homing for Providing Service Differentiation in Information-Aware Multi-Layered Wireless Sensor Networks

    E-Print Network [OSTI]

    Vokkarane, Vinod M.

    -Layered Wireless Sensor Networks Jianping Wang Department of Computer Sciences Georgia Southern University@umassd.edu Abstract-- Sensor networks are fundamentally deployed to handle extreme behaviors across sensing sites. Service differen- tiation in information-aware wireless sensor network refers to the ability to provide

  4. 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.

  5. Complex networks vulnerability to module-based attacks

    E-Print Network [OSTI]

    da Cunha, Bruno Requião; Gonçalves, Sebastián

    2015-01-01

    In the multidisciplinary field of Network Science, optimization of procedures for efficiently breaking complex networks is attracting much attention from practical points of view. In this contribution we present a module-based method to efficiently break complex networks. The procedure first identifies the communities in which the network can be represented, then it deletes the nodes (edges) that connect different modules by its order in the betweenness centrality ranking list. We illustrate the method by applying it to various well known examples of social, infrastructure, and biological networks. We show that the proposed method always outperforms vertex (edge) attacks which are based on the ranking of node (edge) degree or centrality, with a huge gain in efficiency for some examples. Remarkably, for the US power grid, the present method breaks the original network of 4941 nodes to many fragments smaller than 197 nodes (4% of the original size) by removing mere 164 nodes (~3%) identified by the procedure. B...

  6. Science &Technology Facilities Council

    E-Print Network [OSTI]

    Science &Technology Facilities Council Science &Technology Facilities Council Science and Technology Facilities Council Annual Report and Accounts 2011-2012 Science and Technology Facilities Council Laboratory, Cheshire; UK Astronomy Technology Centre, Edinburgh; Chilbolton Observatory, Hampshire; Isaac

  7. Redirecting science

    SciTech Connect (OSTI)

    Aaserud, F.

    1990-01-01

    This book contains the following chapters. Science policy and fund-raising up to 1934; The Copenhagen spirit at work, late 1920's to mid-1930s; The refugee problem, 1933 to 1935; Experimental biology, late 1920s to 1935; and Consolidation of the transition, 1935 to 1940.

  8. Fusion Nuclear Science | ORNL

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

    Fusion Nuclear Science Isotope Development and Production Nuclear Security Science & Technology Nuclear Systems Modeling, Simulation & Validation Nuclear Systems Technology...

  9. 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

  10. Science &Technology Facilities Council

    E-Print Network [OSTI]

    Science &Technology Facilities Council Accelerator Science and Technology Centre Daresbury Science)1235 445808 www.stfc.ac.uk/astec Head office, Science and Technology Facilities Council, Polaris House, North Newton Group, La Palma: Joint Astronomy Centre, Hawaii. ASTeC Science Highlights 2009 - 2010 Science

  11. 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

  12. A portable neural network approach to vehicle tracking 

    E-Print Network [OSTI]

    Miller, Kelly Maxwell

    1994-01-01

    A PORTABLE NEURAL NETWORK APPROACH TO VEHICLE TRACKING A Thesis by KELLY MAXWELL MILLER Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May... 1994 Major Subject: Electrical Engineering A PORTABLE NEURAL NETWORK APPROACH TO VEHICLE TRACKING A Thesis by KELLY MAXWELL MILLER Submitted to the OAice of Graduate Studies of Texas ARM University in partial fulfillment of the requirements...

  13. Materials World Network: Phase change materials for nanoelectronics: A combinatorial approach to mechanistic understanding

    E-Print Network [OSTI]

    Olmstead, Marjorie

    Materials World Network: Phase change materials for nanoelectronics: A combinatorial approach, III, Micron Technology Inc., Boise, ID Toyohiro Chikyow, National Institute for Materials Science is formed to exploit the new technology of combinatorial materials exploration (CME) to address fundamental

  14. The promiscuity of freedom : development and governance in the age of neoliberal networks

    E-Print Network [OSTI]

    Chan, Anita Say

    2008-01-01

    This study brings together science and technology studies, political anthropology, and Latin American studies, by studying the practices and political reasoning of neoliberal networks in Peru. It analyses the extension of ...

  15. 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

  16. 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

  17. Citizen Science: Contributions to Astronomy Research

    E-Print Network [OSTI]

    Christian, Carol; Smith, Arfon; Fortson, Lucy; Bamford, Steven

    2012-01-01

    The contributions of everyday individuals to significant research has grown dramatically beyond the early days of classical birdwatching and endeavors of amateurs of the 19th century. Now people who are casually interested in science can participate directly in research covering diverse scientific fields. Regarding astronomy, volunteers, either as individuals or as networks of people, are involved in a variety of types of studies. Citizen Science is intuitive, engaging, yet necessarily robust in its adoption of sci-entific principles and methods. Herein, we discuss Citizen Science, focusing on fully participatory projects such as Zooniverse (by several of the au-thors CL, AS, LF, SB), with mention of other programs. In particular, we make the case that citizen science (CS) can be an important aspect of the scientific data analysis pipelines provided to scientists by observatories.

  18. Science 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 WebQuantityBonneville Power AdministrationRobust, High-ThroughputUpcoming ReleaseSecurityPediatricNOAA Science

  19. Computer Science Department of Computer Science

    E-Print Network [OSTI]

    Heller, Barbara

    Computer Science Department of Computer Science Stuart Building 10 W. 31st St. Chicago, IL 60616: Bogdan Korel The study of computer science is the inquiry into the nature of computation and its use in solving problems in an information-based society. Computer science is an evolving discipline, but it has

  20. [Faculty of Science Information and Computing Sciences

    E-Print Network [OSTI]

    Löh, Andres

    [Faculty of Science Information and Computing Sciences] Indexed fixed points Andres Löh Dept. of Information and Computing Sciences, Utrecht University P.O. Box 80.089, 3508 TB Utrecht, The Netherlands Web pages: http://www.cs.uu.nl/wiki/Center GP meeting, 21 November 2008 #12;[Faculty of Science Information

  1. [Faculty of Science Information and Computing Sciences

    E-Print Network [OSTI]

    Löh, Andres

    [Faculty of Science Information and Computing Sciences] Types, Universes and Everything Andres L¨oh Dept. of Information and Computing Sciences, Utrecht University P.O. Box 80.089, 3508 TB Utrecht, The Netherlands Web pages: http://www.cs.uu.nl/wiki/Center May 26, 2010 #12;[Faculty of Science Information

  2. [Faculty of Science Information and Computing Sciences

    E-Print Network [OSTI]

    Löh, Andres

    [Faculty of Science Information and Computing Sciences] Generic diff Andres Löh joint work with Eelco Lempsink and Sean Leather Dept. of Information and Computing Sciences, Utrecht University IFIP WG 2.1 meeting #64, Weltenburg, April 2, 2009 #12;[Faculty of Science Information and Computing

  3. [Faculty of Science Information and Computing Sciences

    E-Print Network [OSTI]

    Löh, Andres

    [Faculty of Science Information and Computing Sciences] Generic programming with the multirec. of Information and Computing Sciences, Utrecht University P.O. Box 80.089, 3508 TB Utrecht, The Netherlands Web pages: http://www.cs.uu.nl/wiki/Center May 15, 2009 #12;[Faculty of Science Information and Computing

  4. [Faculty of Science Information and Computing Sciences

    E-Print Network [OSTI]

    Löh, Andres

    [Faculty of Science Information and Computing Sciences] Generic programming with fixed points Dept. of Information and Computing Sciences, Utrecht University P.O. Box 80.089, 3508 TB Utrecht, The Netherlands Web pages: http://www.cs.uu.nl/wiki/Center September 2, 2009 #12;[Faculty of Science Information

  5. NSF WORKSHOP ON SCIENCE JOURNALISM Science Journalism

    E-Print Network [OSTI]

    Holsinger, Kent

    NSF WORKSHOP ON SCIENCE JOURNALISM Science Journalism: From 'Little Story on the Prairie retaining factual accuracy -- the key to good sci- ence communication and science journalism. Science journalism aims to transmute scientific concepts and re- sults from jargon-based language often understand

  6. POLITICAL SCIENCE Political science is the study

    E-Print Network [OSTI]

    POLITICAL SCIENCE Political science is the study of governments, public policies, and political behavior. Political science uses both humanistic perspectives and scientific skills to examine the United States and all countries and regions of the world. Students enrolled in Political Science courses explore

  7. College of Health Sciences Health Sciences Connection

    E-Print Network [OSTI]

    Barrash, Warren

    College of Health Sciences Health Sciences Connection 1 Dean's Message College of Health Sciences Health Sciences Connection November 2010 Volume IX (2) Rationale The faculty, staff and students within the sweeping changes associated with health care reform. Health care reform represents the most significant

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

    E-Print Network [OSTI]

    Huang, Su-Yun

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

  9. 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 ...

  10. 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.

  11. Encyclopedia of Cognitive Science ENCYCLOPEDIA OF COGNITIVE SCIENCE

    E-Print Network [OSTI]

    Hilber, David

    the physical, biological, #12;Encyclopedia of Cognitive Science and behavioural sciences to place seriousEncyclopedia of Cognitive Science 173 ENCYCLOPEDIA OF COGNITIVE SCIENCE 2000 ©Macmillan Reference

  12. BioenergizeME Virtual Science Fair: Science & Technology Sustainable...

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

    Science & Technology Sustainable Transportation Fuels BioenergizeME Virtual Science Fair: Science & Technology Sustainable Transportation Fuels BioenergizeME Virtual Science Fair:...

  13. Life sciences and environmental sciences

    SciTech Connect (OSTI)

    Not Available

    1992-02-01

    The DOE laboratories play a unique role in bringing multidisciplinary talents -- in biology, physics, chemistry, computer sciences, and engineering -- to bear on major problems in the life and environmental sciences. Specifically, the laboratories utilize these talents to fulfill OHER`s mission of exploring and mitigating the health and environmental effects of energy use, and of developing health and medical applications of nuclear energy-related phenomena. At Lawrence Berkeley Laboratory (LBL) support of this mission is evident across the spectrum of OHER-sponsored research, especially in the broad areas of genomics, structural biology, basic cell and molecular biology, carcinogenesis, energy and environment, applications to biotechnology, and molecular, nuclear and radiation medicine. These research areas are briefly described.

  14. Life sciences and environmental sciences

    SciTech Connect (OSTI)

    Not Available

    1992-02-01

    The DOE laboratories play a unique role in bringing multidisciplinary talents -- in biology, physics, chemistry, computer sciences, and engineering -- to bear on major problems in the life and environmental sciences. Specifically, the laboratories utilize these talents to fulfill OHER's mission of exploring and mitigating the health and environmental effects of energy use, and of developing health and medical applications of nuclear energy-related phenomena. At Lawrence Berkeley Laboratory (LBL) support of this mission is evident across the spectrum of OHER-sponsored research, especially in the broad areas of genomics, structural biology, basic cell and molecular biology, carcinogenesis, energy and environment, applications to biotechnology, and molecular, nuclear and radiation medicine. These research areas are briefly described.

  15. 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

  16. Behavioral Sciences | ornl.gov

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

    Chemistry Computational Engineering Computer Science Data Earth Sciences Energy Science Future Technology Knowledge Discovery Materials Mathematics National Security Systems...

  17. Research Areas | Nuclear Science | ORNL

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

    Fuel Cycle Science & Technology Fusion Nuclear Science Isotope Development and Production Nuclear Security Science & Technology Nuclear Systems Modeling, Simulation & Validation...

  18. 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

  19. Chemical Engineering | More Science | ORNL

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

    Chemical and Engineering Materials Clean Energy Nuclear Sciences Computer Science Earth and Atmospheric Sciences Materials Science and Engineering Mathematics Physics Environment...

  20. Evaluating Mobility Support in ZigBee Networks , Nia-Chiang Liang1

    E-Print Network [OSTI]

    Chen, Ling-Jyh

    Evaluating Mobility Support in ZigBee Networks Tony Sun1 , Nia-Chiang Liang1 , Ling-Jyh Chen2 Angeles 2 Institute of Information Science, Academia Sinica Abstract. The deployment of ZigBee networks and must be accommodated. Therefore, providing ubiqui- tous connection to/from a mobile ZigBee device

  1. Min-Max Congestion in Interference-Prone Wireless Mesh Networks

    E-Print Network [OSTI]

    Boutaba, Raouf

    and Raouf Boutaba D. R. Cheriton School of Computer Science University of Waterloo Waterloo, Ontario, Canada, wireless mesh networks present a fixed wireless backbone, non energy-constrained, with one (or more the network resource usage. This nonetheless requires that the link capacities remain stable over

  2. Fundamental Trade-offs for Energy Efficiency in Cognitive Radio Networks

    E-Print Network [OSTI]

    Fundamental Trade-offs for Energy Efficiency in Cognitive Radio Networks Salim Eryigit, Gürkan Gür to be energy-efficient. These trade-offs are identified as QoS, fairness, PU interference, network architecture-LUONNONTIETEELLINEN TIEDEKUNTA MATEMATISK-NATURVETENSKAPLIGA FAKULTETEN FACULTY OF SCIENCE Energy Efficiency

  3. Manipulation of Nodes in a Connected Car Network Henry Hexmoor1

    E-Print Network [OSTI]

    Hexmoor, Henry

    Manipulation of Nodes in a Connected Car Network Henry Hexmoor1 , Guy Fraker2 1 Computer Science and communicate on motorways. The technology cars maintain connections and communicate via Wi-Fi. The Connected cars initiative envisions cars that form a dynamic social network. Each car exchanges local information

  4. Evolving Neural Networks for Hexapod Leg Controllers Gary B. Parker and Zhiyi Li

    E-Print Network [OSTI]

    Parker, Gary B.

    Evolving Neural Networks for Hexapod Leg Controllers Gary B. Parker and Zhiyi Li Computer Science -- The incremental evolution of neural networks to control hexapod robot locomotion can be separated into two main that produces leg cycles for a hexapod robot. The robot has 12 servo effectors; two per leg to produce

  5. Wireless Networks 8, 7384, 2002 2002 Kluwer Academic Publishers. Manufactured in The Netherlands.

    E-Print Network [OSTI]

    Levy, Hanoch

    Wireless Networks 8, 73­84, 2002 2002 Kluwer Academic Publishers. Manufactured in The Netherlands of Computer Science, Tel-Aviv University, Tel-Aviv 69978, Israel Abstract. The minimization of the wireless cost of tracking mobile users is a crucial issue in wireless networks. Some of the previous strategies

  6. The Coverage Problem in a Wireless Sensor Network Chi-Fu Huang

    E-Print Network [OSTI]

    Tseng, Yu-Chee

    micro-sensing MEMS technologies has made wireless sensor net- works possible. Such environments may haveThe Coverage Problem in a Wireless Sensor Network Chi-Fu Huang Department of Computer Science-Chu, 30050, Taiwan yctseng@csie.nctu.edu.tw ABSTRACT One fundamental issue in sensor networks is the coverage

  7. Guard Your Connections: Infiltration of a Trust/Reputation Based Network

    E-Print Network [OSTI]

    Magdon-Ismail, Malik

    Guard Your Connections: Infiltration of a Trust/Reputation Based Network Malik Magdon Rensselaer Polytechnic Institute Computer Science Department Troy, NY 12180 oreccb@rpi.edu ABSTRACT We study infiltration of a trust/reputation based network. At every time step, the agent solicits a connection request

  8. Feedback based Sparse Recovery for Motion Tracking in RF Sensor Networks

    E-Print Network [OSTI]

    Qiu, Robert Caiming

    Feedback based Sparse Recovery for Motion Tracking in RF Sensor Networks Heping Song #1 , Tong Liu #2 , Xiaomu Luo #3 , Guoli Wang #4 # School of Information Science and Technology, Sun Yat tracking with radio tomographic networks using received signal strength (RSS) measurements has attracted

  9. SPATIAL FILTERING IN SENSOR NETWORKS WITH COMPUTATION CODES Anand D. Sarwate, Bobak Nazer, Michael Gastpar

    E-Print Network [OSTI]

    Nazer, Bobak

    SPATIAL FILTERING IN SENSOR NETWORKS WITH COMPUTATION CODES Anand D. Sarwate, Bobak Nazer, Michael Gastpar Department of Electrical Engineering and Computer Sciences, UC Berkeley ABSTRACT A data collection problem in sensor networks is formulated in which the number of channel uses per source sample is greater

  10. Science Briefs

    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 Top LDRDUniversitySchedules PrintNIF &Science Briefs

  11. Science Cafe

    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 Top LDRDUniversitySchedules PrintNIF &Science

  12. Science Programs

    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 Top LDRDUniversitySchedulesScience Highlights

  13. Energy Science

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES October 27th, 2010 Thanks forEnergy Science Print Our current

  14. Energy Sciences

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES October 27th, 2010 Thanks forEnergy Science Print Our

  15. Explosives Science

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES OctoberEvan Racah Evan-5 Beamline 1-5ComputingExplosives Science

  16. Science Magazine

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-ThroughputUpcoming ReleaseSecurityPediatricNOAA MAY 2013 VOL 340 SCIENCE

  17. Materials Science

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

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

  18. Science Council

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque| Stanford SynchrotronVideo-Contest Sign56Science Careers202-000

  19. Science Digests

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque| Stanford SynchrotronVideo-Contest Sign56ScienceOpens

  20. Science Summary

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque| Stanford SynchrotronVideo-ContestHighlightsScience Goal25, 2008

  1. Science Summary

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque| Stanford SynchrotronVideo-ContestHighlightsScience Goal25,

  2. Science Summary

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque| Stanford SynchrotronVideo-ContestHighlightsScience Goal25,Chang

  3. Science Summary

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

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

  4. Science Summary

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

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

  5. Science Summary

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

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

  6. Science Summary

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque| Stanford SynchrotronVideo-ContestHighlightsScienceHasan6, 2009

  7. 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.

  8. Greenpass: Flexible and Scalable Authorization for Wireless Computer Science Technical Report TR2004-484

    E-Print Network [OSTI]

    Marchesini Department of Computer Science/Dartmouth PKI Lab Dartmouth College Hanover, New Hampshire USA where a lack of wireless network access at a university is as unthinkable as a lack of electricity

  9. Accessing and Using Electronic Resources Policy The Oregon Health & Science University (OHSU) Library purchases electronic databases,

    E-Print Network [OSTI]

    Chapman, Michael S.

    & Science University (OHSU) Library purchases electronic databases, journals, books to the OHSU network. The Library provides computers in the Biomedical Information, as defined below, may access electronic resources remotely: · Employees; · Employees

  10. Opinion: Building a 21st-century infrastructure for the social sciences

    E-Print Network [OSTI]

    OPINION Opinion: Building a 21st-century infrastructure for the social sciences Emilio F. Morana. For example, by using data from social networking sites, business transactions, smart phones, and online

  11. Physical Communication ( ) Contents lists available at SciVerse ScienceDirect

    E-Print Network [OSTI]

    Shi, Zhijie Jerry

    Physical Communication ( ) ­ Contents lists available at SciVerse ScienceDirect Physical at the ACM International Workshop on UnderWater Networks (WUWNet), Montréal, Québec, Canada, Sept. 2007 [24

  12. Innovation in Computer Sciences

    E-Print Network [OSTI]

    Ghosh, Joydeep

    power- up Innovation in Computer Sciences Department of Computer Sciences at The University of Texas at Austin #12;#12;Computer science is the enabling science of our age. It is the engine. In the Department of Computer Sciences at The University of Texas at Austin, one of the top ten departments

  13. 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

  14. 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

  15. 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

  16. 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...

  17. 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.

  18. 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...

  19. 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

  20. 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 ...

  1. Review: Who’s asking? Native Science, Western Science and Science Education

    E-Print Network [OSTI]

    Ferrara, Enzo

    2015-01-01

    Western Science and Science Education By Douglas L. MedinScience and Science Education. Cambridge, MA: MIT Press,previously the director of education at the American Indian

  2. 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

  3. 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.

  4. E-Science Day

    E-Print Network [OSTI]

    Abad, Raquel

    2012-01-01

    Institutes of Health, National Library of Medicine, underfunded by the National Network of Libraries of Medicine

  5. From: The NASA Regional Planetary Image Facility Network (corresponding author: Justin Hagerty, jhagerty@usgs.gov)

    E-Print Network [OSTI]

    Rathbun, Julie A.

    From: The NASA Regional Planetary Image Facility Network (corresponding author: Justin Hagerty, jhagerty@usgs.gov) To: CAPTEM, VEXAG, LEAG, MEPAG, SBAG, OPAG Re: Proposed changes to the NASA Planetary Science Division R&A programs Introduction: At the meeting of the NASA Planetary Science Subcommittee

  6. Quantifying the Invisible Audience in Social Networks Michael S. Bernstein1,2

    E-Print Network [OSTI]

    Pratt, Vaughan

    to examine how well users' perceptions of their audi- ence match their actual audience on Facebook. We find , Moira Burke2 , Brian Karrer2 Stanford University HCI Group1 Facebook Data Science2 Computer Science content in an online social network, who is listening? Users have scarce information about who actually

  7. MACEDONIA, PRATT, ZYDA A NETWORK ARCHITECTURE FOR LARGE SCALE VIRTUAL ENVIRONMENTS

    E-Print Network [OSTI]

    Zyda, Michael

    MACEDONIA, PRATT, ZYDA A NETWORK ARCHITECTURE FOR LARGE SCALE VIRTUAL ENVIRONMENTS *Major Michael R. Macedonia, U.S. Army Computer Science Department U.S. Naval Postgraduate School Monterey, California 93943-5118 macedonia@cs.nps.navy.mil David R. Pratt Computer Science Department U.S. Naval Postgraduate School Monterey

  8. VirtualMesh: An Emulation Framework for Wireless Mesh Networks in OMNeT++

    E-Print Network [OSTI]

    Braun, Torsten

    of Computer Science and Applied Mathematics Neubrückstrasse 10 3012 Bern, Switzerland staub@iam.unibe.ch Reto Gantenbein Institute of Computer Science and Applied Mathematics Neubrückstrasse 10 3012 Bern, Switzerland 10 3012 Bern, Switzerland braun@iam.unibe.ch ABSTRACT Wireless Mesh Networks (WMN) have proven

  9. The Computational Sciences. Research

    E-Print Network [OSTI]

    Christensen, Dan

    The Computational Sciences. Research activities range from the theoretical foundations. The teaching mission of the computational sciences includes almost every student in the University for computational hardware and software. The computational sciences are undergoing explosive growth worldwide

  10. Sandia Energy - Fire Science

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

    Fire Science Home Stationary Power Nuclear Fuel Cycle Nuclear Energy Safety Technologies Risk and Safety Assessment Fire Science Fire ScienceTara Camacho-Lopez2015-05-11T17:01:52+0...

  11. OPTICAL SCIENCE & ENGINEERINGOPTICAL SCIENCE & ENGINEERINGOPTICAL SCIENCE & ENGINEERINGOPTICAL SCIENCE & ENGINEERING University of New Mexico

    E-Print Network [OSTI]

    New Mexico, University of

    OPTICAL SCIENCE & ENGINEERINGOPTICAL SCIENCE & ENGINEERINGOPTICAL SCIENCE & ENGINEERINGOPTICAL as waveguiding mechanism in optical fibers. We have shown, both experimentally and numerically, that for a moderate amount of disorder in optical fibers

  12. Computer Science Induction to

    E-Print Network [OSTI]

    Berger, Ulrich

    Computer Science Induction to Postgraduate Research Studies Ulrich Berger Head of Postgraduate Research Supervision Regulations Progression Regulations Computer Science Induction to Postgraduate Research Studies Ulrich Berger Head of Postgraduate Research Department of Computer Science Swansea

  13. E-Science Day

    E-Print Network [OSTI]

    Abad, Raquel

    2012-01-01

    on December 6, 2011, E-Science Day was a day-long event,regional librarians in e-science, and to expose regionalthe initiation of e-science support projects within their

  14. Communicating Evolution as Science

    E-Print Network [OSTI]

    Thanukos, Anastasia

    2010-01-01

    thuringiensis toxins. Science. 1992;258(5087):1451–5. MillerRT, Ruse M. But is it science? Amherst, NY: Prometheusto the philosophy of science: theory and reality. Chicago:

  15. Introduction Health Sciences

    E-Print Network [OSTI]

    Banbara, Mutsunori

    32 Introduction Guide Entrance Life Career Inquiries Health Sciences Health Problems population, changing lifestyle habit, and the coming of globalization age. The role health sciences play, the former Department of Health Sciences of the Graduate School of Medicine, was reorganized

  16. Email networks and the spread of computer viruses M. E. J. Newman, 1 Stephanie Forrest, 1, 2 and Justin Balthrop 2

    E-Print Network [OSTI]

    Newman, Mark

    Email networks and the spread of computer viruses M. E. J. Newman, 1 Stephanie Forrest, 1, 2 Science, University of New Mexico, Albuquerque, NM 87131--1386 Many computer viruses spread via electronic of computer virus epidemics. The structure of various networks, including social and computer networks, has

  17. DISS. ETH NO. 16800 Understanding Ad hoc Networks

    E-Print Network [OSTI]

    of this dissertation investigates the newly-found freedom enabled by battery-powered devices: mobility. OneDISS. ETH NO. 16800 Understanding Ad hoc Networks From Geometry to Mobility A dissertation submitted to the SWISS FEDERAL INSTITUTE OF TECHNOLOGY ZURICH for the degree of Doctor of Sciences presented

  18. Self-Stabilizing Byzantine Agreement in a Synchronous Network

    E-Print Network [OSTI]

    Dolev, Danny

    Self-Stabilizing Byzantine Agreement in a Synchronous Network A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science by Tomer Harpaz Supervised by Prof. Danny and love. #12;Abstract This thesis presents an algorithm that provides self-stabilizing Byzantine agreement

  19. Wireless Sensor Network Architecture for Smart Venkata Reddy Adama

    E-Print Network [OSTI]

    Grabner, Helmut

    in the field of material science led to an improved energy efficiency of the building envelope, a lot of energyWireless Sensor Network Architecture for Smart Buildings Venkata Reddy Adama Associate Professor Pradesh, India ­ 505 001 Venkat_scce@yahoo.co.in Abstract - Today's buildings account for a large fraction

  20. Underground Coal Mine Monitoring with Wireless Sensor Networks

    E-Print Network [OSTI]

    Liu, Yunhao

    10 Underground Coal Mine Monitoring with Wireless Sensor Networks MO LI and YUNHAO LIU Hong Kong University of Science and Technology Environment monitoring in coal mines is an important application queries under instable circumstances. A prototype is deployed with 27 mica2 motes in a real coal mine. We

  1. Knowledge Discovery from Citation Networks Zhen Guo, Zhongfei (Mark) Zhang

    E-Print Network [OSTI]

    Zhang, Zhongfei "Mark"

    Knowledge Discovery from Citation Networks Zhen Guo, Zhongfei (Mark) Zhang Computer Science,ychi,ygong}@sv.nec-labs.com Abstract--Knowledge discovery from scientific articles has received increasing attentions recently since. In a corpus of scientific articles such as a digital library, documents are connected by citations and one

  2. Predicting Links in Multi-Relational and Heterogeneous Networks

    E-Print Network [OSTI]

    Chawla, Nitesh V.

    }@nd.edu Yizhou Sun and Jiawei Hani Department of Computer Science University of Illinois at Urbana-Champaign Urbana, Illinois, US Email: {sun22, hanj}@illinois.edu Abstract--Link prediction is an important task prediction, that is, predicting the formation of links in a network in the future or predicting the missing

  3. HETEROGENEOUS PROCESS MIGRATION SCALABLE NETWORK OF WORKSTATIONS (SNOW)

    E-Print Network [OSTI]

    Sun, Xian-He

    HETEROGENEOUS PROCESS MIGRATION for SCALABLE NETWORK OF WORKSTATIONS (SNOW) Xian-He Sun Department of Computer Science Louisiana State University sun@bit.csc.lsu.edu URL: http://www.csc.lsu.edu/ scs/SNOW/ Nov and restoration mechanism The SNOW/MpPVM Software Environment Components and Implementation Issues Experimental

  4. A Fault Tolerant Hierarchical Network on Chip Router Architecture

    E-Print Network [OSTI]

    Zilic, Zeljko

    Received: 15 March 2012 /Accepted: 19 July 2013 # Springer Science+Business Media New York 2013 Abstract and energy consumption. Keywords Network on chip . Hierarchical topology . Fault-tolerant 1 Introduction DueC architectures supply a practical alternative for traditional SoC interconnect ap- proaches [3]. While

  5. Multipath Flow Allocation in Anonymous Wireless Networks with Dependent Sources

    E-Print Network [OSTI]

    Poovendran, Radha

    on the side information available to each source. Our results are demonstrated through simulation study. IMultipath Flow Allocation in Anonymous Wireless Networks with Dependent Sources Chouchang Yang, 98195, USA Computer Research Institute, King Abdulaziz City for Science and Technology, Riyadh, Saudi

  6. 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.

  7. Wireless Sensor Networks: The Protocol Stack Iowa State University

    E-Print Network [OSTI]

    McCalley, James D.

    Wireless Sensor Networks: The Protocol Stack Mat Wymore Iowa State University Wind Energy Science Design an anycast WSN for a wind turbine SHM application that is very energy efficient. meets reliability for turbine structural health monitoring Are composed of sensor nodes Are very resource constrained

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

    E-Print Network [OSTI]

    Kumar, Anurag

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

  9. Wireless Security: Secure and Public Networks Villanova University

    E-Print Network [OSTI]

    36 Wireless Security: Secure and Public Networks Kory Kirk Villanova University Computer Science kory.kirk@villanova.edu www.korykirk.com/ Abstract Due to the increasing amount of wireless, train stations and cafes, there is a need for a wireless protocol that allows public access to secure

  10. Fusion Frames and Wireless Sensor Networks Gitta Kutyniok

    E-Print Network [OSTI]

    Kutyniok, Gitta

    Fusion Frames and Wireless Sensor Networks Gitta Kutyniok Institut f¨ur Mathematik Technische Universit¨at Berlin 10623 Berlin Germany Email: kutyniok@math.tu-berlin.de Abstract--Fusion frames provide science, information theory, and signal processing, to name a few. Fusion frames extend this notion

  11. Sandia Energy - Computational Science

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

    Computational Science Home Energy Research Advanced Scientific Computing Research (ASCR) Computational Science Computational Sciencecwdd2015-03-26T13:35:2...

  12. Science and Innovation

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

    Faces of Science The people behind our science Radical Supercomputing Extreme speeds, big data, powerful simulations 70 Years of Innovation Addressing the nation's most complex...

  13. Information science is neither

    E-Print Network [OSTI]

    Furner, J

    2015-01-01

    Information science is neither Jonathan Furner University ofIt would appear that we neither use nor need the conceptabout information, neither is data science primarily about

  14. Fusion Energy Sciences

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

    Fusion Energy Sciences Fusion Energy Sciences Expanding the fundamental understanding of matter at very high temperatures and densities and to build the scientific foundation...

  15. 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.

  16. Security Science & Technology | Nuclear Science | ORNL

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

    Nuclear Security Science & Technology Border Security Comprehensive Vulnerability and Threat Analysis Consequence Management, Safeguards, and Non-Proliferation Tools Export...

  17. Fuel Cycle Science & Technology | Nuclear Science | ORNL

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

    Radiochemical Separation & Processing Recycle & Waste Management Uranium Enrichment Used Nuclear Fuel Storage, Transportation, and Disposal Fusion Nuclear Science Isotope...

  18. Computational Science and Engineering Certification for Computer Science

    E-Print Network [OSTI]

    Gilbert, Matthew

    Computational Science and Engineering Certification for Computer Science The Computational Science credential only available to students currently enrolled in the Computer Science undergraduate degree program that are distinct from already-required coursework. To receive a certificate in "Computational Science

  19. 167Connection Science, Vol. 7, No. 2, 1995 Density Plots of Hidden Value Unit Activations

    E-Print Network [OSTI]

    Dawson, Michael

    167Connection Science, Vol. 7, No. 2, 1995 Density Plots of Hidden Value Unit Activations Reveal backpropagation network, called a network of value units, was trained to detect problem type and validity of a set. After training was success- fully completed, jittered density plots were computed for each hidden unit

  20. 146 Earth Science 147 Earth Science

    E-Print Network [OSTI]

    Richards-Kortum, Rebecca

    146 Earth Science 147 Earth Science ESCI 101 The Earth or ESCI 102 Evolution of the Earth or ESCI 107 Oceans and Global Change or ESCI 108 Crises of the Earth ESCI 105 Introductory Lab for Earth Geophysics I ESCI 444 Exploration Geophysics II or ESCI 446 Solid Earth Geophysics Math and Other Sciences

  1. College of Science CLINICAL SCIENCE AREA MANUAL

    E-Print Network [OSTI]

    1 College of Science CLINICAL SCIENCE AREA MANUAL DEPARTMENT OF PSYCHOLOGY VIRIGINIA TECH AY2015 Training 24 B. Clinical Science Area Committee 25 C. Graduate Student Representatives 25 D. Advisor 26 E for Continuation on to the Preliminary Examination 49 F. Plan of Study: Doctoral Degree 51 G. The Preliminary

  2. HEALTH SCIENCE CENTER HANDBOOK OF OPERATING PROCEDURES Chapter 5 Information Management & Services Effective: June 2000

    E-Print Network [OSTI]

    Nicholson, Bruce J.

    HEALTH SCIENCE CENTER HANDBOOK OF OPERATING PROCEDURES Chapter 5 Information Management & Services the Health Science Center's information resources and computer network. See the Handbook of Operating Effective: June 2000 Section 5.8 Information Security Revised: May 2014 Policy 5.8.12 Portable Computing

  3. 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

  4. Introduction to Computational Science

    E-Print Network [OSTI]

    Introduction to Computational Science (and why you should learn it!) Lyle N. Long Distinguished Professor of Aerospace Engineering and Mathematics Director, Graduate Minor Program in Computational Science #12;Outline · A little about me · What is computational science · Why study computational science

  5. INSTITUTE FOR COASTAL SCIENCE

    E-Print Network [OSTI]

    Gopalakrishnan, K.

    plain, and barrier island systems Social Science and Coastal Policy: Examine politics and public policy

  6. Computer Science Degree options

    E-Print Network [OSTI]

    Brierley, Andrew

    -leading research in human-computer interaction, constraint programming, cloud computing and more. * Our teaching74 Computer Science Degree options BSc (Single Honours Degree) Computer Science BSc (Joint Honours Degrees) Computer Science and one of: Economics Philosophy* Management Management Science * The title

  7. Computer Science Degree options

    E-Print Network [OSTI]

    Brierley, Andrew

    , cloud computing and more. * Our teaching is research-led from first year to fifth. Facilities82 Computer Science Degree options BSc (Single Honours Degree) Computer Science BSc (Joint Honours Degrees) Computer Science and one of: Economics Logic and Philosophy of Science Management Management

  8. Science Serving Sustainability

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

    Buildings Greening Transportation Green Purchasing & Green Technology Pollution Prevention Science Serving Sustainability ENVIRONMENTAL SUSTAINABILITY GOALS at...

  9. Agricultural and Food Sciences

    E-Print Network [OSTI]

    Faculty of Agricultural and Food Sciences (FAFS) #12;86 Faculty of Agricultural and Food Sciences (FAFS) Undergraduate Catalogue 2014­15 Faculty of Agricultural and Food Sciences (FAFS) Officers in agriculture was initiated in 1956. #12;87Faculty of Agricultural and Food Sciences (FAFS) Undergraduate

  10. Graduate studies Ecosystem Science

    E-Print Network [OSTI]

    Graduate studies in Ecosystem Science and Management Ph.D. M.S. M.Agr. or Natural Resources Development MNRD Department of Ecosystem Science and Management College of Agriculture and Life Sciences. The thesisbased Master of Science and Ph.D. degrees are designed for research or academic careers

  11. Education research Primary Science

    E-Print Network [OSTI]

    Rambaut, Andrew

    Education research Primary Science Survey Report December 2011 #12;Primary Science Survey Report, Wellcome Trust 1 Background In May 2009 Key Stage 2 science SATs (Standard Assessment Tests) were abolished fiasco might occur, where the results were delayed and their quality questioned. The loss of science SATs

  12. Indiana University Cognitive Science

    E-Print Network [OSTI]

    Indiana University

    Indiana University Cognitive Science Exploring the Science of Learning Representations Simulations patterns in plant growth better? In the Cognitive Science Program at IU, we explore educational practices) representations help students understand principles of science and transfer that knowledge to related topics

  13. ENVIRONMENTAL AND RESOURCE SCIENCE/

    E-Print Network [OSTI]

    Fox, Michael

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

  14. Health sciences at Manchester

    E-Print Network [OSTI]

    Higham, Nicholas J.

    Health sciences at Manchester a time of change and growth Institute of Health Sciences January 2010 #12;The Institute of Health Sciences exists to improve health and healthcare practice through high quality health sciences research in Manchester. It is a collaborative endeavour involving schools

  15. Department of ANIMAL SCIENCE

    E-Print Network [OSTI]

    of the Department of Animal science contributes to research-based knowledge on livestock, environment, bioenergy

  16. R. Boutaba et al. (Eds.): NETWORKING 2005, LNCS 3462, pp. 709 717, 2005. IFIP International Federation for Information Processing 2005

    E-Print Network [OSTI]

    Kleinrock, Leonard

    Replication in Peer-to-Peer Networks Saurabh Tewari and Leonard Kleinrock Computer Science Department possible download time, and as a service provider, the peer #12;710 S. Tewari and L. Kleinrock expects

  17. 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.

  18. 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.

  19. 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

  20. 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