National Library of Energy BETA

Sample records for network cxs applied

  1. Benford's Law Applies To Online Social Networks

    E-Print Network [OSTI]

    Golbeck, Jennifer

    2015-01-01

    Benford's Law states that the frequency of first digits of numbers in naturally occurring systems is not evenly distributed. Numbers beginning with a 1 occur roughly 30\\% of the time, and are six times more common than numbers beginning with a 9. We show that Benford's Law applies to social and behavioral features of users in online social networks. We consider social data from five major social networks: Facebook, Twitter, Google Plus, Pinterest, and Live Journal. We show that the distribution of first significant digits of friend and follower counts for users in these systems follow Benford's Law. The same holds for the number of posts users make. We extend this to egocentric networks, showing that friend counts among the people in an individual's social network also follow the expected distribution. We discuss how this can be used to detect suspicious or fraudulent activity online and to validate datasets.

  2. Energy Efficiency of Encryption Schemes Applied to Wireless Sensor Networks

    E-Print Network [OSTI]

    Heys, Howard

    Energy Efficiency of Encryption Schemes Applied to Wireless Sensor Networks Xueying Zhang, Howard M (ICC 2010), Cape Town, South Africa, May 2010, and "Energy Efficiency of Symmetric Key Cryptographic In this paper, we focus on the energy efficiency of secure communication in wireless sensor networks (WSNs). Our

  3. Delayed switching applied to memristor neural networks

    SciTech Connect (OSTI)

    Wang, Frank Z.; Yang Xiao; Lim Guan [Future Computing Group, School of Computing, University of Kent, Canterbury (United Kingdom); Helian Na [School of Computer Science, University of Hertfordshire, Hatfield (United Kingdom); Wu Sining [Xyratex, Havant (United Kingdom); Guo Yike [Department of Computing, Imperial College, London (United Kingdom); Rashid, Md Mamunur [CERN, Geneva (Switzerland)

    2012-04-01

    Magnetic flux and electric charge are linked in a memristor. We reported recently that a memristor has a peculiar effect in which the switching takes place with a time delay because a memristor possesses a certain inertia. This effect was named the ''delayed switching effect.'' In this work, we elaborate on the importance of delayed switching in a brain-like computer using memristor neural networks. The effect is used to control the switching of a memristor synapse between two neurons that fire together (the Hebbian rule). A theoretical formula is found, and the design is verified by a simulation. We have also built an experimental setup consisting of electronic memristive synapses and electronic neurons.

  4. A Test Calculus Framework applied to network security policies

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A Test Calculus Framework applied to network security policies Yli`es Falcone1 , Jean'H`eres, France Abstract. We propose a syntax-driven test generation technique to au- tomaticaly derive abstract test cases from a set of requirements expressed in a linear temporal logic. Assuming that an elementary

  5. Mobileflow: Applying SDN to Mobility in Wireless Networks 

    E-Print Network [OSTI]

    Al-Shaikhli, Raghdah

    2014-08-10

    Wireless technology has become an increasingly popular way for network access. Wireless networks provide efficient, reliable service; supporting a broad range of emerging applications including multimedia streaming and video conferencing. Currently...

  6. Applying the repeated game framework to multiparty networked applications

    E-Print Network [OSTI]

    Afergan, Michael Moïse

    2005-01-01

    This thesis presents repeated game analysis as an important and practical tool for networked application and protocol designers. Incentives are a potential concern for a large number of networked applications. Well-studied ...

  7. 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

  8. CellNet: Network Biology Applied to Stem Cell Engineering

    E-Print Network [OSTI]

    Collins, James J.

    developed CellNet, a network biology platform that more accurately assesses the fidelity of cellular a platform for quantifying how closely engineered cell populations resemble their target cell type to cells resembling myoblasts (Davis et al., 1987), motor neurons (Vierbuchen et al., 2010), car

  9. Neural NILM: Deep Neural Networks Applied to Energy Disaggregation

    E-Print Network [OSTI]

    Knottenbelt, William J.

    of Computing Imperial College London 180 Queen's Gate, London, SW7 2RH, UK jack.kelly@imperial.ac.uk William Knottenbelt Department of Computing Imperial College London 180 Queen's Gate, London, SW7 2RH, UK w) denoising autoencoders; and 3) a network which regresses the start time, end time and average power demand

  10. Reinforcement Learning, Neural Networks and PI Control Applied to a Heating Coil

    E-Print Network [OSTI]

    Kretchmar, R. Matthew

    Reinforcement Learning, Neural Networks and PI Control Applied to a Heating Coil Charles W,along@lamar.colostate.edu Abstract An accurate simulation of a heating coil is used to compare the performance of a PI controller networks and other artificial intelligence techniques to the control of heating and air

  11. Apply

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

    Apply Application Process Bringing together top, space science students with internationally recognized researchers at Los Alamos in an educational and collaborative atmosphere....

  12. Roadmap: Computer Technology -Network Technology -Associate of Applied Business RE-AAB-COMT-NWTC

    E-Print Network [OSTI]

    Khan, Javed I.

    Troubleshooting (3) or COMT 21110 Internetworking (3) or COMT 21200 Ethical Hacking (3) 3 Business Electives 2 3Roadmap: Computer Technology - Network Technology - Associate of Applied Business RE or ITAP 26638 Business Communications 3 MATH 10041 Introductory Statistics (4) or MATH 11009 Modeling

  13. Synthesis of Reinforcement Learning, Neural Networks, and PI Control Applied to a Simulated Heating Coil

    E-Print Network [OSTI]

    Anderson, Charles W.

    Synthesis of Reinforcement Learning, Neural Networks, and PI Control Applied to a Simulated Heating to the control of heating and air-conditioning systems.4,5,8 In this article, three approaches to improving) controlleris appliedto the simulated heating coil and the controller's proportional and integral gains are set

  14. Apply

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

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

  15. Applying Machine Learning Methods to Suggest Network Involvement and Functionality of Genes in Saccharomyces cerevisiae

    E-Print Network [OSTI]

    Amthauer, Heather A.

    2008-10-10

    Elucidating genetic networks provides the foundation for the development of new treatments or cures for diseased pathways, and determining novel gene functionality is critical for bringing a better understanding on how an ...

  16. Imaging regenerating bone tissue based on neural networks applied to micro-diffraction measurements

    SciTech Connect (OSTI)

    Campi, G.; Pezzotti, G. [Institute of Crystallography, CNR, via Salaria Km 29.300, I-00015, Monterotondo Roma (Italy)] [Institute of Crystallography, CNR, via Salaria Km 29.300, I-00015, Monterotondo Roma (Italy); Fratini, M. [Centro Fermi -Museo Storico della Fisica e Centro Studi e Ricerche 'Enrico Fermi', Roma (Italy)] [Centro Fermi -Museo Storico della Fisica e Centro Studi e Ricerche 'Enrico Fermi', Roma (Italy); Ricci, A. [Deutsches Elektronen-Synchrotron DESY, Notkestraße 85, D-22607 Hamburg (Germany)] [Deutsches Elektronen-Synchrotron DESY, Notkestraße 85, D-22607 Hamburg (Germany); Burghammer, M. [European Synchrotron Radiation Facility, B. P. 220, F-38043 Grenoble Cedex (France)] [European Synchrotron Radiation Facility, B. P. 220, F-38043 Grenoble Cedex (France); Cancedda, R.; Mastrogiacomo, M. [Istituto Nazionale per la Ricerca sul Cancro, and Dipartimento di Medicina Sperimentale dell'Università di Genova and AUO San Martino Istituto Nazionale per la Ricerca sul Cancro, Largo R. Benzi 10, 16132, Genova (Italy)] [Istituto Nazionale per la Ricerca sul Cancro, and Dipartimento di Medicina Sperimentale dell'Università di Genova and AUO San Martino Istituto Nazionale per la Ricerca sul Cancro, Largo R. Benzi 10, 16132, Genova (Italy); Bukreeva, I.; Cedola, A. [Institute for Chemical and Physical Process, CNR, c/o Physics Dep. at Sapienza University, P-le A. Moro 5, 00185, Roma (Italy)] [Institute for Chemical and Physical Process, CNR, c/o Physics Dep. at Sapienza University, P-le A. Moro 5, 00185, Roma (Italy)

    2013-12-16

    We monitored bone regeneration in a tissue engineering approach. To visualize and understand the structural evolution, the samples have been measured by X-ray micro-diffraction. We find that bone tissue regeneration proceeds through a multi-step mechanism, each step providing a specific diffraction signal. The large amount of data have been classified according to their structure and associated to the process they came from combining Neural Networks algorithms with least square pattern analysis. In this way, we obtain spatial maps of the different components of the tissues visualizing the complex kinetic at the base of the bone regeneration.

  17. Applying Quantitative Ecoregionalization to Network Analysis: Quantifying Representativeness and Determining Importance Values for

    E-Print Network [OSTI]

    Hoffman, Forrest M.

    and Determining Importance Values for AmeriFlux Sites Forrest M. Hoffman Oak Ridge National Laboratory Building. Hargrove Oak Ridge National Laboratory Building 1507, MS 6407 Oak Ridge TN 37831­6407 865­241­2748 hnw@fire.esd.ornl.gov March 31, 2006 New Approaches to Ecological Regionalization Symposium Abstract We apply a multivariate

  18. Preprint of a paper to appear in Applied Optics, Vol. 33, No. 11, November 1994 A Scalable Optical Hypercubebased Interconnection Network for Massively

    E-Print Network [OSTI]

    Louri, Ahmed

    Preprint of a paper to appear in Applied Optics, Vol. 33, No. 11, November 1994 A Scalable Optical of massively parallel computers. This paper presents a new modular optical interconnection network, called an Optical Multi­Mesh Hypercube (OMMH), which is both size­ and time­scalable. The OMMH combines positive

  19. Under consideration for publication in Euro. Jnl of Applied Mathematics 1 Point-process models of social network

    E-Print Network [OSTI]

    Bertozzi, Andrea L.

    network based at the United States Military Academy. The method performs differently on this data and data of social network interactions: parameter estimation and missing data recovery JOSEPH R. ZIPKIN 1 , FREDERIC, University of California, Los Angeles, Los Angeles, CA 90095, USA email: jzipkin@math.ucla.edu 2 Department

  20. Automatic data for applied railway management : passenger demand, service quality measurement, and tactical planning on the London Overground Network

    E-Print Network [OSTI]

    Frumin, Michael S

    2010-01-01

    The broad goal of this thesis is to demonstrate the potential positive impacts of applying automatic data to the management and tactical planning of a modern urban railway. Tactical planning is taken here to mean the set ...

  1. 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

  2. Applied Math

    E-Print Network [OSTI]

    $author.value

    Current research topics by the Applied Math Faculty members include: Numerical analysis and applications of finite difference, finite element and spectral ...

  3. CX-010617: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Construction of an Autogas Refueling Network CX(s) Applied: B5.22 Date: 07/18/2013 Location(s): West Virginia Offices(s): National Energy Technology Laboratory

  4. CX-010616: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Construction of an Autogas Refueling Network CX(s) Applied: B5.22 Date: 07/18/2013 Location(s): New York Offices(s): National Energy Technology Laboratory

  5. CX-010600: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Construction of an Autogas Refueling Network CX(s) Applied: B5.22 Date: 07/25/2013 Location(s): Indiana Offices(s): National Energy Technology Laboratory

  6. CX-010601: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Construction of an Autogas Refueling Network CX(s) Applied: B5.22 Date: 07/25/2013 Location(s): Indiana Offices(s): National Energy Technology Laboratory

  7. CX-011260: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    National Network Administrator for GEARED CX(s) Applied: A9, A11 Date: 09/16/2013 Location(s): New York Offices(s): Golden Field Office

  8. CX-007585: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Minnesota E85 Fueling Network Expansion Project CX(s) Applied: B5.22 Date: 12/29/2011 Location(s): Minnesota Offices(s): National Energy Technology Laboratory

  9. CX-007489: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Clean Start - Development of a National Liquid Propane Refueling Network CX(s) Applied: B5.22 Date: 12/06/2011 Location(s): Arizona Offices(s): National Energy Technology Laboratory

  10. CX-007454: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Clean Start - Development of a National Liquid Propane Refueling Network CX(s) Applied: B5.22 Date: 12/20/2011 Location(s): Texas Offices(s): National Energy Technology Laboratory

  11. CX-007583: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Clean Start - Development of a National Liquid Propane Refueling Network CX(s) Applied: B5.1, B5.22 Date: 12/29/2011 Location(s): Arizona Offices(s): National Energy Technology Laboratory

  12. CX-011268: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    “Clean Start” – Development of a National Liquid Propane (Autogas) Refueling Network CX(s) Applied: B5.22 Date: 09/30/2013 Location(s): West Virginia Offices(s): National Energy Technology Laboratory

  13. CX-009349: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Construction of an Autogas Refueling Network CX(s) Applied: B5.22 Date: 09/21/2012 Location(s): Ohio Offices(s): National Energy Technology Laboratory

  14. CX-009348: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Construction of an Autogas Refueling Network CX(s) Applied: B5.22 Date: 09/21/2012 Location(s): New Hampshire Offices(s): National Energy Technology Laboratory

  15. CX-009453: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Construction of a Liquid Propane Autogas Refueling Network CX(s) Applied: B5.22 Date: 11/02/2012 Location(s): West Virginia Offices(s): National Energy Technology Laboratory

  16. CX-012298: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Wisconsin Biofuels Retail Availability Improvement Network (BRAIN) CX(s) Applied: A1, A9 Date: 06/03/2014 Location(s): Wisconsin Offices(s): National Energy Technology Laboratory

  17. CX-012297: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Wisconsin Biofuels Retail Availability Improvement Network (BRAIN) - E85 Station Installation CX(s) Applied: B5.22 Date: 06/03/2014 Location(s): Wisconsin Offices(s): National Energy Technology Laboratory

  18. CX-010952: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biofuels Retail Availability Improvement Network - Biodiesel Fueling Infrastructure CX(s) Applied: B5.22 Date: 09/17/2013 Location(s): Wisconsin Offices(s): National Energy Technology Laboratory

  19. CX-010450: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biofuel Retail Availability Improvement Network - Biodiesel Infrastructure Installation CX(s) Applied: B5.22 Date: 06/17/2013 Location(s): Wisconsin Offices(s): National Energy Technology Laboratory

  20. CX-010465: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biofuel Retail Availability Improvement Network - Biodiesel Infrastructure Installation CX(s) Applied: B1.15, B5.1, B5.22 Date: 06/06/2013 Location(s): Wisconsin Offices(s): National Energy Technology Laboratory

  1. CX-010449: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biofuel Retail Availability Improvement Network - Biodiesel Infrastructure Installation CX(s) Applied: B5.22 Date: 06/17/2013 Location(s): Wisconsin Offices(s): National Energy Technology Laboratory

  2. CX-011269: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Real-Time In-Situ Carbon Dioxide Monitoring (RICO2M) Network for Sensitive Subsurface... CX(s) Applied: B3.6 Date: 09/30/2013 Location(s): California Offices(s): National Energy Technology Laboratory

  3. CX-012690: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Nanostructured Bulk Thermoelectric Generator for Efficient Power Harvesting for Self-powered Sensor Networks – Boise State University CX(s) Applied: B3.15Date: 41864 Location(s): IdahoOffices(s): Nuclear Energy

  4. CX-011311: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biofuels Retail Availability Improvement Network - E85 Infrastructure Installation CX(s) Applied: B5.22 Date: 10/07/2013 Location(s): Wisconsin Offices(s): National Energy Technology Laboratory

  5. CX-011310: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biofuels Retail Availability Improvement Network - E85 Infrastructure Installation CX(s) Applied: B5.22 Date: 10/07/2013 Location(s): Wisconsin Offices(s): National Energy Technology Laboratory

  6. CX-011323: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biofuels Retail Availability Improvement Network - E85 Infrastructure Installation CX(s) Applied: B5.22 Date: 10/01/2013 Location(s): Wisconsin Offices(s): National Energy Technology Laboratory

  7. CX-011322: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biofuels Retail Availability Improvement Network - E85 Infrastructure Installation CX(s) Applied: B5.22 Date: 10/01/2013 Location(s): Wisconsin Offices(s): National Energy Technology Laboratory

  8. CX-012337: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Maintain/Repair SPR Radio Communications Network, 2014-2017 CX(s) Applied: B1.7 Date: 06/11/2014 Location(s): CX: none Offices(s): Strategic Petroleum Reserve Field Office

  9. CX-011302: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Minnesota E85 Fueling Network Expansion Project CX(s) Applied: B5.22 Date: 10/08/2013 Location(s): Minnesota Offices(s): National Energy Technology Laboratory

  10. Network Management Network Management

    E-Print Network [OSTI]

    Giaccone, Paolo

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

  11. Applied combustion

    SciTech Connect (OSTI)

    1993-12-31

    From the title, the reader is led to expect a broad practical treatise on combustion and combustion devices. Remarkably, for a book of modest dimension, the author is able to deliver. The text is organized into 12 Chapters, broadly treating three major areas: combustion fundamentals -- introduction (Ch. 1), thermodynamics (Ch. 2), fluid mechanics (Ch. 7), and kinetics (Ch. 8); fuels -- coal, municipal solid waste, and other solid fuels (Ch. 4), liquid (Ch. 5) and gaseous (Ch. 6) fuels; and combustion devices -- fuel cells (Ch. 3), boilers (Ch. 4), Otto (Ch. 10), diesel (Ch. 11), and Wankel (Ch. 10) engines and gas turbines (Ch. 12). Although each topic could warrant a complete text on its own, the author addresses each of these major themes with reasonable thoroughness. Also, the book is well documented with a bibliography, references, a good index, and many helpful tables and appendices. In short, Applied Combustion does admirably fulfill the author`s goal for a wide engineering science introduction to the general subject of combustion.

  12. 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.

  13. 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

  14. Applied Mathematics Department of Applied Mathematics

    E-Print Network [OSTI]

    Applied Mathematics Department of Applied Mathematics 208 Engineering 1 Building 10 W. 32nd St, Graduate Studies: Xiaofan Li The Department of Applied Mathematics puts mathe- matics to work solving, such as how to construct methods for multi-criteria decision making (requiring discrete mathematics

  15. Network coding for distributed quantum computation over cluster and butterfly networks

    E-Print Network [OSTI]

    Seiseki Akibue; Mio Murao

    2015-03-26

    To apply network coding for quantum computation, we study the distributed implementation of unitary operations over all separated input and output nodes of quantum networks. We consider a setting of networks where quantum communication between nodes is restricted to sending just a qubit, but classical communication is unrestricted. We analyze which N-qubit unitary operations are implementable over cluster networks by investigating transformations of a given cluster network into quantum circuits. We show that any two-qubit unitary operation is implementable over the butterfly network and the grail network, which are fundamental primitive networks for classical network coding. We also analyze probabilistic implementations of unitary operations over cluster networks.

  16. How To Apply

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

    High Performance Information Technology (IRHPIT) MITLANL Information Science Algorithms and Methods Institute (ISAMI) OSULANL Institute for Research on Wireless Networks (IRWiN)...

  17. CloudWatcher: Network Security Monitoring Using OpenFlow in Dynamic Cloud Networks

    E-Print Network [OSTI]

    Gu, Guofei

    CloudWatcher: Network Security Monitoring Using OpenFlow in Dynamic Cloud Networks (or: How to Provide Security Monitoring as a Service in Clouds?) Seungwon Shin SUCCESS Lab Texas A&M University Email, basically, we can employ existing network security devices, but applying them to a cloud network requires

  18. Optimization in Networks

    E-Print Network [OSTI]

    Adilson E. Motter; Zoltan Toroczkai

    2007-07-07

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

  19. MATHMATICS & APPLIED STATISTICS

    E-Print Network [OSTI]

    Frey, Jesse C.

    MATHMATICS & APPLIED STATISTICS Graduate Studies in Build Your Future with Graduate Study in Mathematics or Applied Statistics Our graduate programs can help you advance your career in education will deepen your knowledge and prepare you for further study. The Master of Science in Applied Statistics

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

    E-Print Network [OSTI]

    Dondelinger, Frank

    2013-07-02

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

  1. Applied Research Center

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

    ARC Privacy and Security Notice Skip over navigation Search the JLab Site Applied Research Center Please upgrade your browser. This site's design is only visible in a graphical...

  2. Applied Math Publications

    E-Print Network [OSTI]

    The following sample of the publications has been made available to you by members of the Applied faculty through their personal homepages. Prof. Zhiqiang

  3. Applied Modern Physics

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

    1 Applied Modern Physics From the first bionic eye to airport scanners that detect liquid explosives, our expertise in developing advanced diagnostics results in real-world...

  4. SEQUENTIAL DEEP BELIEF NETWORKS Galen Andrew

    E-Print Network [OSTI]

    Noble, William Stafford

    SEQUENTIAL DEEP BELIEF NETWORKS Galen Andrew University of Washington Department of Computer bilmes@ee.washington.edu ABSTRACT Previous work applying Deep Belief Networks (DBNs) to problems sequential information in the hidden layers. Index Terms-- deep learning, deep belief network, phone recog

  5. Augmented Network Model For Engineering System Design

    E-Print Network [OSTI]

    de Weck, Olivier L.

    can have different capacities and costs, maintenance routines, dynamics. Link existence can vary design". Various fields have applied network modeling to engineering applications, such as operations, with their network description and brief discussion of simple network statistics. Then, we describe in detail one

  6. INTRODUCTION APPLIED GEOPHYSICS

    E-Print Network [OSTI]

    Merriam, James

    GEOL 384.3 INTRODUCTION TO APPLIED GEOPHYSICS OUTLINE INTRODUCTION TO APPLIED GEOPHYSICS GEOL 384 unknowns; the ones we don't know we don't know. And if one looks throughout the history of geophysics he didn't really say geophysics. He said, " ... our country and other free countries ...". But I am

  7. Applied Music Curriculum Guide

    E-Print Network [OSTI]

    Kearfott, R. Baker

    1 Applied Music Curriculum Guide The University of Louisiana at Lafayette School of Music #12;2 Revised Spring 2009 UNIVERSITY OF LOUISIANA, Lafayette SCHOOL OF MUSIC APPLIED MUSIC CURRICULUM GUIDE Dr. Garth Alper, Director DEGREES OFFERED Bachelor of Music with emphases in Performance, Theory

  8. SIAM J. APPLIED DYNAMICAL SYSTEMS c xxxx Society for Industrial and Applied Mathematics Vol. xx, pp. x xx

    E-Print Network [OSTI]

    Rucklidge, Alastair

    . Numerical simulations have been carried out, computing the average uptake after a sufficient number of timeSIAM J. APPLIED DYNAMICAL SYSTEMS c xxxx Society for Industrial and Applied Mathematics Vol. xx, pp explains the results of the numerical calculations. Key words. Innovation diffusion, networks, threshold

  9. Analytical Chemistry Applied Mathematics

    E-Print Network [OSTI]

    Heller, Barbara

    Architecture Information Technology & Management Integrated Building Delivery Landscape Architecture ManagementAnalytical Chemistry Applied Mathematics Architectural Engineering Architecture Architecture Electricity Markets Environmental Engineering Food Process Engineering Food Safety & Technology

  10. Sandia Energy - Applied & Computational Math

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

    Applied & Computational Math Home Energy Research Advanced Scientific Computing Research (ASCR) Applied & Computational Math Applied & Computational Mathcwdd2015-03-26T13:34:5...

  11. KATAYUN (KATY) BARMAK Department of Applied Physics and Applied Mathematics

    E-Print Network [OSTI]

    Columbia University

    MEMBERSHIP OF PROFESSIONAL SOCIETIES IEEE, Materials Research Society (MRS); American Physical Society (APS1 KATAYUN (KATY) BARMAK Department of Applied Physics and Applied Mathematics Seeley W. Mudd. of Applied Physics and Applied Mathematics, Columbia University 2011-present Philips Electronics Professor

  12. 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

  13. CX-011270: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Real-Time In-Situ Carbon Dioxide Monitoring (RICO2M) Network for Sensitive Subsurface... CX(s) Applied: A11, B4.6 Date: 09/30/2013 Location(s): Texas Offices(s): National Energy Technology Laboratory

  14. 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...

  15. Apply for Beamtime

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

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

  16. Journal of applied mechanics

    E-Print Network [OSTI]

    Nov 11, 2009 ... Location: Engineering (Periodicals) ... wave propagation in such systems is examined in reference (4). Gassman (5, 6) has ... Now Research Scientist at Missile. Systems ... Presented at the Applied Mechanics Division Summer Conference,. Berkeley ..... This will be true in some cases for a water- saturated ...

  17. SUSTAINABILITY WHO CAN APPLY

    E-Print Network [OSTI]

    FUNDED BY CALL FOR SUSTAINABILITY RESEARCH STUDENT WHO CAN APPLY Undergraduate and graduate Participate in the Global Change & Sustainability Center's Research Symposium; attend workshops with faculty or publish in the U's student-run sustainability publication to be released in May 2014. Are you conducting

  18. APPLYING RESEARCH ON METACOGNITION

    E-Print Network [OSTI]

    School of Medicine01/09/14 #12;Define metacognition and explain its importance in teaching and learning, understand key genetic terms.) Next, apply knowledge to determine inheritance patterns and to formulate students presume that a best response strategy is to relate everything they know about a subject figuring

  19. 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. ...

  20. Control of collective network chaos

    SciTech Connect (OSTI)

    Wagemakers, Alexandre, E-mail: alexandre.wagemakers@urjc.es; Sanjuán, Miguel A. F., E-mail: miguel.sanjuan@urjc.es [Departamento de Física, Universidad Rey Juan Carlos, Tulipán s/n, 28933 Móstoles, Madrid (Spain); Barreto, Ernest, E-mail: ebarreto@gmu.edu; So, Paul, E-mail: paso@gmu.edu [School of Physics, Astronomy, and Computational Sciences and The Krasnow Institute for Advanced Study, George Mason University, Fairfax, Virginia 22030 (United States)

    2014-06-01

    Under certain conditions, the collective behavior of a large globally-coupled heterogeneous network of coupled oscillators, as quantified by the macroscopic mean field or order parameter, can exhibit low-dimensional chaotic behavior. Recent advances describe how a small set of “reduced” ordinary differential equations can be derived that captures this mean field behavior. Here, we show that chaos control algorithms designed using the reduced equations can be successfully applied to imperfect realizations of the full network. To systematically study the effectiveness of this technique, we measure the quality of control as we relax conditions that are required for the strict accuracy of the reduced equations, and hence, the controller. Although the effects are network-dependent, we show that the method is effective for surprisingly small networks, for modest departures from global coupling, and even with mild inaccuracy in the estimate of network heterogeneity.

  1. ORISE: Applied health physics projects

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

    Applied health physics projects The Oak Ridge Institute for Science and Education (ORISE) provides applied health physics services to government agencies needing technical support...

  2. Applied ALARA techniques

    SciTech Connect (OSTI)

    Waggoner, L.O.

    1998-02-05

    The presentation focuses on some of the time-proven and new technologies being used to accomplish radiological work. These techniques can be applied at nuclear facilities to reduce radiation doses and protect the environment. The last reactor plants and processing facilities were shutdown and Hanford was given a new mission to put the facilities in a safe condition, decontaminate, and prepare them for decommissioning. The skills that were necessary to operate these facilities were different than the skills needed today to clean up Hanford. Workers were not familiar with many of the tools, equipment, and materials needed to accomplish:the new mission, which includes clean up of contaminated areas in and around all the facilities, recovery of reactor fuel from spent fuel pools, and the removal of millions of gallons of highly radioactive waste from 177 underground tanks. In addition, this work has to be done with a reduced number of workers and a smaller budget. At Hanford, facilities contain a myriad of radioactive isotopes that are 2048 located inside plant systems, underground tanks, and the soil. As cleanup work at Hanford began, it became obvious early that in order to get workers to apply ALARA and use hew tools and equipment to accomplish the radiological work it was necessary to plan the work in advance and get radiological control and/or ALARA committee personnel involved early in the planning process. Emphasis was placed on applying,ALARA techniques to reduce dose, limit contamination spread and minimize the amount of radioactive waste generated. Progress on the cleanup has,b6en steady and Hanford workers have learned to use different types of engineered controls and ALARA techniques to perform radiological work. The purpose of this presentation is to share the lessons learned on how Hanford is accomplishing radiological work.

  3. Applied Science/Techniques

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

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

  4. Applying network theory epidemics: Control measures for outbreaks Mycoplasma pneumoniae

    E-Print Network [OSTI]

    Newman, Mark

    expelled when infected person sneezes, coughs, talks. Large, sustained outbreaks pneumoniae have occurred

  5. The Testing Paradigm Applied to Network Structure Tom Verhoeff

    E-Print Network [OSTI]

    Verhoeff, Tom

    -called boiler plates; see `connectable' in [7]). In our approach we do not disallow any compositions, but we

  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. VLSI Cells Placement Using the Neural Networks

    SciTech Connect (OSTI)

    Azizi, Hacene; Zouaoui, Lamri; Mokhnache, Salah [Universite Ferhat Abbas, Faculte des Sciences Laboratoire Optoelectronique et Composants, Setif(Algeria)

    2008-06-12

    The artificial neural networks have been studied for several years. Their effectiveness makes it possible to expect high performances. The privileged fields of these techniques remain the recognition and classification. Various applications of optimization are also studied under the angle of the artificial neural networks. They make it possible to apply distributed heuristic algorithms. In this article, a solution to placement problem of the various cells at the time of the realization of an integrated circuit is proposed by using the KOHONEN network.

  8. APPLIED TECHNOLOGY Strategic Plan Summary

    E-Print Network [OSTI]

    Heller, Barbara

    SCHOOL OF APPLIED TECHNOLOGY Strategic Plan Summary #12;School of Applied Technology Strategic Plan Summary | 1 SCHOOL OF APPLIED TECHNOLOGY STRATEGIC PLAN SUMMARY MISSION STATEMENT The mission Technology and Management program to achieve national visibility. #12;School of Applied Technology Strategic

  9. On Achieving Optimal Throughput with Network Coding

    E-Print Network [OSTI]

    Li, Zongpeng

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

  10. Antisocial Networks: Turning a Social Network into a Botnet

    E-Print Network [OSTI]

    Markatos, Evangelos P.

    built an actual Facebook application, that can turn its users into a FaceBot. We used our Face of Facebook, a real-world So- cial Network, and then study how we can utilize these properties and transform-world Facebook appli- cation that can perform malicious actions covertly. We experimentally measured it's impact

  11. Empirical comparison of network sampling techniques

    E-Print Network [OSTI]

    Blagus, Neli; Bahec, Marko

    2015-01-01

    In the past few years, the storage and analysis of large-scale and fast evolving networks present a great challenge. Therefore, a number of different techniques have been proposed for sampling large networks. In general, network exploration techniques approximate the original networks more accurately than random node and link selection. Yet, link selection with additional subgraph induction step outperforms most other techniques. In this paper, we apply subgraph induction also to random walk and forest-fire sampling. We analyze different real-world networks and the changes of their properties introduced by sampling. We compare several sampling techniques based on the match between the original networks and their sampled variants. The results reveal that the techniques with subgraph induction underestimate the degree and clustering distribution, while overestimate average degree and density of the original networks. Techniques without subgraph induction step exhibit exactly the opposite behavior. Hence, the pe...

  12. 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.

  13. Robust Planning of Green Wireless Networks Grit Claen

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Robust Planning of Green Wireless Networks Grit Claßen RWTH Aachen University Lehrstuhl II f@umic.rwth-aachen.de Abstract--Current methods dealing with the energy efficient wireless network planning problem require a robust optimization model for the energy-efficient planning of wireless networks and apply cutting planes

  14. Multimedia Communications over IP Networks 4 -6 September 2000

    E-Print Network [OSTI]

    Abu-Rgheff, Mosa Ali

    Multimedia Communications over IP Networks 4 - 6 September 2000 Evolution of the Internet David@plymouth.ac.uk School of Computing #12;Multimedia Communications over IP Networks 4 - 6 September 2000 Evolution' applying at each level: #12;Multimedia Communications over IP Networks 4 - 6 September 2000 Evolution

  15. Estimating uncertainty of streamflow simulation using Bayesian neural networks

    E-Print Network [OSTI]

    Liang, Faming

    Estimating uncertainty of streamflow simulation using Bayesian neural networks Xuesong Zhang,1 neural networks (BNNs) are powerful tools for providing reliable hydrologic prediction and quantifying of the uncertainties related to parameters (neural network's weights) and model structures were applied for uncertainty

  16. Estimating Uncertainty of Streamflow Simulation using Bayesian Neural Networks

    E-Print Network [OSTI]

    Estimating Uncertainty of Streamflow Simulation using Bayesian Neural Networks Xuesong Zhang1-2607 Email: r-srinivasan@tamu.edu 1 #12;Abstract: Recent studies have shown that Bayesian Neural Networks of the uncertainties related to parameters (neural network's weights) and model structures were applied for uncertainty

  17. Extracting Provably Correct Rules from Artificial Neural Networks

    E-Print Network [OSTI]

    Clausen, Michael

    Extracting Provably Correct Rules from Artificial Neural Networks Sebastian B. Thrun University procedures have been applied successfully to a variety of real­world scenarios, artificial neural networks that automatically compile neural networks into symbolic rules offer a promising perspective to overcome

  18. Applied Bohmian Mechanics

    E-Print Network [OSTI]

    A. Benseny; G. Albareda; A. S. Sanz; J. Mompart; X. Oriols

    2014-10-20

    Bohmian mechanics provides an explanation of quantum phenomena in terms of point particles guided by wave functions. This review focuses on the formalism of non-relativistic Bohmian mechanics, rather than its interpretation. Although the Bohmian and standard quantum theories have different formalisms, both give exactly the same predictions for all phenomena. Fifteen years ago, the quantum chemistry community began to study the practical usefulness of Bohmian mechanics. Since then, the scientific community has mainly applied it to study the (unitary) evolution of single-particle wave functions, either by developing efficient quantum trajectory algorithms or by providing a trajectory-based explanation of complicated quantum phenomena. Here we present a large list of examples showing how the Bohmian formalism provides a useful solution in different forefront research fields for this kind of problems (where the Bohmian and the quantum hydrodynamic formalisms coincide). In addition, this work also emphasizes that the Bohmian formalism can be a useful tool in other types of (non-unitary and nonlinear) quantum problems where the influence of the environment or the global wave function are unknown. This review contains also examples on the use of the Bohmian formalism for the many-body problem, decoherence and measurement processes. The ability of the Bohmian formalism to analyze this last type of problems for (open) quantum systems remains mainly unexplored by the scientific community. The authors of this review are convinced that the final status of the Bohmian theory among the scientific community will be greatly influenced by its potential success in these type of problems that present non-unitary and/or nonlinear quantum evolutions. A brief introduction of the Bohmian formalism and some of its extensions are presented in the last part of this review.

  19. Tensor Network Renormalization

    E-Print Network [OSTI]

    Glen Evenbly; Guifre Vidal

    2015-04-21

    We introduce a coarse-graining transformation for tensor networks that can be applied to study both the partition function of a classical statistical system and the Euclidean path integral of a quantum many-body system. The scheme is based upon the insertion of optimized unitary and isometric tensors (disentanglers and isometries) into the tensor network and has, as its key feature, the ability to remove short-range entanglement/correlations at each coarse-graining step. Removal of short-range entanglement results in scale invariance being explicitly recovered at criticality. In this way we obtain a proper renormalization group flow (in the space of tensors), one that in particular (i) is computationally sustainable, even for critical systems, and (ii) has the correct structure of fixed points, both at criticality and away from it. We demonstrate the proposed approach in the context of the 2D classical Ising model.

  20. Applying Mathematics.... ... to catch criminals

    E-Print Network [OSTI]

    O'Leary, Michael

    Applying Mathematics.... ... to catch criminals Mike O'Leary Department of Mathematics Towson University Stevenson University Kappa Mu Epsion 2008 Mike O'Leary (Towson University) Applying mathematics Department Mike O'Leary (Towson University) Applying mathematics to catch criminals September 10, 2008 2 / 42

  1. Journal of Applied Ecology 2004

    E-Print Network [OSTI]

    Holl, Karen

    Journal of Applied Ecology 2004 41, 922­933 © 2004 British Ecological Society Blackwell Publishing-scale, Sacramento River, succession, vegetation Journal of Applied Ecology (2004) 41, 922­933 Introduction More than@ucsc.edu). #12;923 Riparian forest restoration © 2004 British Ecological Society, Journal of Applied Ecology, 41

  2. Journal of Applied Ecology 2002

    E-Print Network [OSTI]

    Holl, Karen

    Journal of Applied Ecology 2002 39, 960­970 © 2002 British Ecological Society Blackwell Science- tion, succession. Journal of Applied Ecology (2002) 39, 960­970 Introduction Efforts to reclaim@ucsc.edu). #12;961 Vegetation on reclaimed mines © 2002 British Ecological Society, Journal of Applied Ecology

  3. Journal of Applied Ecology 2007

    E-Print Network [OSTI]

    Journal of Applied Ecology 2007 44, 748­759 © 2007 The Authors. Journal compilation © 2007 British, distribution, edge, marbled murrelets, model transferability, old-growth Journal of Applied Ecology (2007) 44-nesting Alcid © 2007 The Authors. Journal compilation © 2007 British Ecological Society, Journal of Applied

  4. 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

  5. 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...

  6. Zone routing in a torus network

    DOE Patents [OSTI]

    Chen, Dong; Heidelberger, Philip; Kumar, Sameer

    2013-01-29

    A system for routing data in a network comprising a network logic device at a sending node for determining a path between the sending node and a receiving node, wherein the network logic device sets one or more selection bits and one or more hint bits within the data packet, a control register for storing one or more masks, wherein the network logic device uses the one or more selection bits to select a mask from the control register and the network logic device applies the selected mask to the hint bits to restrict routing of the data packet to one or more routing directions for the data packet within the network and selects one of the restricted routing directions from the one or more routing directions and sends the data packet along a link in the selected routing direction toward the receiving node.

  7. Equilibrium and transient morphologies of river networks : discriminating among fluvial erosion

    E-Print Network [OSTI]

    Gasparini, Nicole Marie, 1972-

    2003-01-01

    We examine the equilibrium and transient morphology of alluvial and bedrock river networks. We apply analytical methods and an iterative model to solve for equilibrium slope-area and texture- area (in alluvial networks) ...

  8. Delineating Geographical Regions with Networks of Human Interactions in an Extensive Set of Countries

    E-Print Network [OSTI]

    Sobolevsky, Stanislav

    Large-scale networks of human interaction, in particular country-wide telephone call networks, can be used to redraw geographical maps by applying algorithms of topological community detection. The geographic projections ...

  9. Energy Efficient Broadcast in Wireless Ad hoc Networks with Hitch-hiking

    E-Print Network [OSTI]

    Wu, Jie

    , weather forecasting, home appliance control, and protec- tion against bioterrorism. Ad hoc networks can of applications that can improve quality of life, and even save lives. Sensor networks find their appli- cation

  10. Rethinking Information Theory for Mobile Ad Hoc Networks

    E-Print Network [OSTI]

    Andrews, Jeff; Haenggi, Martin; Berry, Randy; Jafar, Syed; Guo, Dongning; Shakkottai, Sanjay; Heath, Robert; Neely, Michael; Weber, Steven; Yener, Aylin

    2007-01-01

    The subject of this paper is the long-standing open problem of developing a general capacity theory for wireless networks, particularly a theory capable of describing the fundamental performance limits of mobile ad hoc networks (MANETs). A MANET is a peer-to-peer network with no pre-existing infrastructure. MANETs are the most general wireless networks, with single-hop, relay, interference, mesh, and star networks comprising special cases. The lack of a MANET capacity theory has stunted the development and commercialization of many types of wireless networks, including emergency, military, sensor, and community mesh networks. Information theory, which has been vital for links and centralized networks, has not been successfully applied to decentralized wireless networks. Even if this was accomplished, for such a theory to truly characterize the limits of deployed MANETs it must overcome three key roadblocks. First, most current capacity results rely on the allowance of unbounded delay and reliability. Second, ...

  11. Sandia Energy - Applied Turbulent Combustion

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

    and they form the basis for the creation of validated submodels that bridge fundamental energy sciences with applied device engineering and optimization. Turbulent-combustion-lab...

  12. The Foundations of Applied Mathematics

    E-Print Network [OSTI]

    Baez, John

    The Foundations of Applied Mathematics John Baez Category-Theoretic Foundations of Mathematics Workshop May 5, 2013 #12;We often picture the flow of information about mathematics a bit like this: SCIENCE AND ENGINEERING APPLIED MATHEMATICS PURE MATHEMATICS FOUNDATIONS OF MATHEMATICS #12;Of course

  13. Int. J. Applied Cryptography, Vol. 2, No. 2, 2010 159 Copyright 2010 Inderscience Enterprises Ltd.

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    is a fundamental problem in the theory of communication. In modern applied network security, there is a lot, Theory and Algorithmic Research (CSTAR), International Institute of Information Technology, GachibowliInt. J. Applied Cryptography, Vol. 2, No. 2, 2010 159 Copyright © 2010 Inderscience Enterprises Ltd

  14. Networked Computing in Wireless Sensor Networks for Structural Health Monitoring

    E-Print Network [OSTI]

    Jindal, Apoorva

    2010-01-01

    This paper studies the problem of distributed computation over a network of wireless sensors. While this problem applies to many emerging applications, to keep our discussion concrete we will focus on sensor networks used for structural health monitoring. Within this context, the heaviest computation is to determine the singular value decomposition (SVD) to extract mode shapes (eigenvectors) of a structure. Compared to collecting raw vibration data and performing SVD at a central location, computing SVD within the network can result in significantly lower energy consumption and delay. Using recent results on decomposing SVD, a well-known centralized operation, into components, we seek to determine a near-optimal communication structure that enables the distribution of this computation and the reassembly of the final results, with the objective of minimizing energy consumption subject to a computational delay constraint. We show that this reduces to a generalized clustering problem; a cluster forms a unit on w...

  15. 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.

  16. Hierarchical networks of scientific journals

    E-Print Network [OSTI]

    Palla, Gergely; Mones, Enys; Pollner, Péter; Vicsek, Tamás

    2015-01-01

    Scientific journals are the repositories of the gradually accumulating knowledge of mankind about the world surrounding us. Just as our knowledge is organised into classes ranging from major disciplines, subjects and fields to increasingly specific topics, journals can also be categorised into groups using various metrics. In addition to the set of topics characteristic for a journal, they can also be ranked regarding their relevance from the point of overall influence. One widespread measure is impact factor, but in the present paper we intend to reconstruct a much more detailed description by studying the hierarchical relations between the journals based on citation data. We use a measure related to the notion of m-reaching centrality and find a network which shows the level of influence of a journal from the point of the direction and efficiency with which information spreads through the network. We can also obtain an alternative network using a suitably modified nested hierarchy extraction method applied ...

  17. Energy and task management in energy harvesting wireless sensor networks for structural health monitoring

    E-Print Network [OSTI]

    Steck, Jamie Bradley

    2009-01-01

    applied to SHiMmer, a wireless, energy-harvesting structuralthesis dis- cusses a wireless, energy-harvesting sensingManagement in Energy Harvesting Wireless Sensor Networks for

  18. 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

  19. GRADUATE BOOKLET Physics / Applied Physics

    E-Print Network [OSTI]

    Rock, Chris

    GRADUATE BOOKLET Physics / Applied Physics This booklet contains rules, guidelines and general information about graduate studies in the Physics Department at Texas Tech University. It does not replace documents. Contents I. General Comments: Admission, general policies, deadlines, etc II. Minimum

  20. Modeling applied to problem solving

    E-Print Network [OSTI]

    Pawl, Andrew

    We describe a modeling approach to help students learn expert problem solving. Models are used to present and hierarchically organize the syllabus content and apply it to problem solving, but students do not develop and ...

  1. IIT SCHOOL OF APPLIED TECHNOLOGY

    E-Print Network [OSTI]

    Heller, Barbara

    . MANUFACTURINGTECHNOLOGY. #12;BE A LEADER OF THE NEXT INDUSTRIAL REVOLUTION. An undergraduate degree in IndustrialINDUSTRIAL TECHNOLOGY AND MANAGEMENT IIT SCHOOL OF APPLIED TECHNOLOGY INDUSTRIAL OPERATIONS. RESOURCE MANAGEMENT. INDUSTRIAL FACILITIES. SUPPLY CHAIN MANAGEMENT. SUSTAINABILITY

  2. Experiments on Data Preprocessing of Persian Blog Networks

    E-Print Network [OSTI]

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

    2014-01-01

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

  3. Network induces burst synchronisation in cat brain

    E-Print Network [OSTI]

    Ewandson L. Lameu; Fernando S. Borges; Rafael R. Borges; Antonio M. Batista; Murilo S. Baptista; Ricardo L. Viana

    2015-03-07

    The brain of mammals are divided into different cortical areas that are anatomically connected forming larger networks which perform cognitive tasks. The cat cerebral cortex is composed of 65 areas organised into the visual, auditory, somatosensory-motor and frontolimbic cognitive regions. We have built a network of networks, in which networks are connected among themselves according to the connections observed in the cat cortical areas aiming to study how inputs drive the synchronous behaviour in this cat brain-like network. We show that without external perturbations it is possible to observe high level of bursting synchronisation between neurons within almost all areas, except for the auditory area. Bursting synchronisation appears between neurons in the auditory region when an external perturbation is applied in another cognitive area. This is a clear evidence that pattern formation and collective behaviour in the brain might be a process mediated by other brain areas under stimulation.

  4. Stochastic thermodynamics of chemical reaction networks

    E-Print Network [OSTI]

    Tim Schmiedl; Udo Seifert

    2006-12-19

    For chemical reaction networks described by a master equation, we define energy and entropy on a stochastic trajectory and develop a consistent nonequilibrium thermodynamic description along a single stochastic trajectory of reaction events. A first-law like energy balance relates internal energy, applied (chemical) work and dissipated heat for every single reaction. Entropy production along a single trajectory involves a sum over changes in the entropy of the network itself and the entropy of the medium. The latter is given by the exchanged heat identified through the first law. Total entropy production is constrained by an integral fluctuation theorem for networks arbitrarily driven by time-dependent rates and a detailed fluctuation theorem for networks in the steady state. Further exact relations like a generalized Jarzynski relation and a generalized Clausius inequality are discussed. We illustrate these results for a three-species cyclic reaction network which exhibits nonequilibrium steady states as well as transitions between different steady states.

  5. Visual Matrix Clustering of Social Networks

    SciTech Connect (OSTI)

    Wong, Pak C.; Mackey, Patrick S.; Foote, Harlan P.; May, Richard A.

    2013-07-01

    The prevailing choices to graphically represent a social network in today’s literature are a node-link graph layout and an adjacency matrix. Both visualization techniques have unique strengths and weaknesses when applied to different domain applications. In this article, we focus our discussion on adjacency matrix and how to turn the matrix-based visualization technique from merely showing pairwise associations among network actors (or graph nodes) to depicting clusters of a social network. We also use node-link layouts to supplement the discussion.

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

    SciTech Connect (OSTI)

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

    1992-01-01

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

  7. CX-009418: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Electron Beam Melting CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

  8. CX-009420: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Additive Manufacturing Using EOSINT M280 CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

  9. CX-009419: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Magnetic Pulser CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

  10. Hindawi Publishing Corporation International Journal of Distributed Sensor Networks

    E-Print Network [OSTI]

    Calgary, University of

    be applied to other ISM band protocols such as 802.15.4 (Zigbee) and 802.15.1 (Bluetooth). 1. Introduction localization for wireless networks operating under 2.4 GHz ISM band protocols such as Blue- tooth, Zigbee

  11. 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

  12. 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

  13. Hybrid digital signal processing and neural networks applications in PWRs

    SciTech Connect (OSTI)

    Eryurek, E.; Upadhyaya, B.R.; Kavaklioglu, K.

    1991-01-01

    Signal validation and plant subsystem tracking in power and process industries require the prediction of one or more state variables. Both heteroassociative and auotassociative neural networks were applied for characterizing relationships among sets of signals. A multi-layer neural network paradigm was applied for sensor and process monitoring in a Pressurized Water Reactor (PWR). This nonlinear interpolation technique was found to be very effective for these applications.

  14. Hybrid digital signal processing and neural networks applications in PWRs

    SciTech Connect (OSTI)

    Eryurek, E.; Upadhyaya, B.R.; Kavaklioglu, K.

    1991-12-31

    Signal validation and plant subsystem tracking in power and process industries require the prediction of one or more state variables. Both heteroassociative and auotassociative neural networks were applied for characterizing relationships among sets of signals. A multi-layer neural network paradigm was applied for sensor and process monitoring in a Pressurized Water Reactor (PWR). This nonlinear interpolation technique was found to be very effective for these applications.

  15. A New Stochastic PSO Technique for Neural Network Training

    E-Print Network [OSTI]

    Li, Yangmin

    A New Stochastic PSO Technique for Neural Network Training Yangmin Li and Xin Chen Department Optimization(PSO) has been widely applied for training neural network. To improve the performance of PSO paradigm of particle swarm optimization named stochastic PSO (S-PSO). The feature of the S-PSO is its high

  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. Design of Sustainable Supply Chain Networks Sustainable Cities

    E-Print Network [OSTI]

    Nagurney, Anna

    Design of Sustainable Supply Chain Networks for Sustainable Cities Anna Nagurney Isenberg School Chains Methodology Applied Supply Chain Network Game Theory Models of Relevance to Sustainable Cities 1400 years, according to the IPCC. Anna Nagurney Sustainability #12;Pollution and Environmental Impacts

  18. Infrastructure for Testing Nodes of a Wireless Sensor Network

    E-Print Network [OSTI]

    Zilic, Zeljko

    , low energy wireless sensor network (WSN) nodes is a major concern. One way to maintain a reliable. To further reduce test energy, compression algorithms compatible with WSN nodes are explored for use on test circuitry applied to a WSN node. INTRODUCTION Wireless sensor networks (WSN) have become available for use

  19. Network Economics and the Internet Professor Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    Network Economics and the Internet Professor Anna Nagurney John F. Smith Memorial Professor, Economics and Law Gothenburg University, Gothenburg, Sweden Professor Anna Nagurney Network Economics of Economics, Panos M. Pardalos, Center for Applied Optimization of the University of Florida, and Themistocles

  20. Status of the NDLTD Networked Digital Library of Theses

    E-Print Network [OSTI]

    Beex, A. A. "Louis"

    Status of the NDLTD Networked Digital Library of Theses and Dissertations Gail McMillan Digital;The Networked Digital Library of Theses and Dissertations www.NDLTD.org Leader of the Worldwide ETD? · Help graduate students learn about e- publishing and digital libraries · Apply that knowledge

  1. 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

  2. Applying for a Training Contract

    E-Print Network [OSTI]

    , usual deadline is July 31, 2013 for entry in September 2015. Students should apply in the 2nd year aimed at 2nd year LLB students & final year non-law students. Competition for these places is often more will successfully complete the Legal Practice Course each year. From the point of view of the student, there can

  3. Applied Sustainability Political Science 319

    E-Print Network [OSTI]

    Young, Paul Thomas

    1 Applied Sustainability Political Science 319 College of Charleston Spring 2013 Day/Time: TH 1 Address: fisherb@cofc.edu Office: 284 King Street, #206 (Office of Sustainability) Office Hours: by appt sustainability. It will focus on the development of semester-long sustainability projects, from conception

  4. Journal of Applied Ecology 2006

    E-Print Network [OSTI]

    Thomas, Len

    Journal of Applied Ecology 2006 43, 377­384 © 2006 The Authors. Journal compilation © 2006 British Ecological Society Blackwell Publishing Ltd METHODOLOGICAL INSIGHTS Point transect sampling with traps, Etive House, Beechwood Park, Inverness IV2 3BW, UK Summary 1. The ability to monitor abundance of animal

  5. Applying the Continuous Monitoring Technical

    E-Print Network [OSTI]

    by providing technical leadership for the nation's measurement and standards infrastructure. ITL develops tests of technical, physical, administrative, and management standards and guidelines for the cost-effective securityApplying the Continuous Monitoring Technical Reference Model to the Asset, Configuration

  6. temperature heat pumps applied to

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    Very high- temperature heat pumps applied to energy efficiency in industry Application of industrial heat pumps June 21 th 2012 J-L Peureux, E. Sapora, D. Bobelin EDF R&D #12;Achema 2012 Frankfurt There are thermal requirements in the industrial plant Treq Heat exchanger = Cons ~ 0 CO2 ~ -100% Treq

  7. Flow Distances on Open Flow Networks

    E-Print Network [OSTI]

    Guo, Liangzhu; Shi, Peiteng; Wang, Jun; Huang, Xiaohan; Zhang, Jiang

    2015-01-01

    Open flow network is a weighted directed graph with a source and a sink, depicting flux distributions on networks in the steady state of an open flow system. Energetic food webs, economic input-output networks, and international trade networks, are open flow network models of energy flows between species, money or value flows between industrial sectors, and goods flows between countries, respectively. Flow distances (first-passage or total) between any given two nodes $i$ and $j$ are defined as the average number of transition steps of a random walker along the network from $i$ to $j$ under some conditions. They apparently deviate from the conventional random walk distance on a closed directed graph because they consider the openness of the flow network. Flow distances are explicitly expressed by underlying Markov matrix of a flow system in this paper. With this novel theoretical conception, we can visualize open flow networks, calculating centrality of each node, and clustering nodes into groups. We apply fl...

  8. 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 ...

  9. 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 ...

  10. 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...

  11. Comparative Traffic Performance Analysis of Urban Transportation Network Structures

    E-Print Network [OSTI]

    Amini, Behnam; Mojarradi, Morteza; Derrible, Sybil

    2015-01-01

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

  12. Criteria for stochastic pinning control of networks of chaotic maps

    SciTech Connect (OSTI)

    Mwaffo, Violet; Porfiri, Maurizio; DeLellis, Pietro

    2014-03-15

    This paper investigates the controllability of discrete-time networks of coupled chaotic maps through stochastic pinning. In this control scheme, the network dynamics are steered towards a desired trajectory through a feedback control input that is applied stochastically to the network nodes. The network controllability is studied by analyzing the local mean square stability of the error dynamics with respect to the desired trajectory. Through the analysis of the spectral properties of salient matrices, a toolbox of conditions for controllability are obtained, in terms of the dynamics of the individual maps, algebraic properties of the network, and the probability distribution of the pinning control. We demonstrate the use of these conditions in the design of a stochastic pinning control strategy for networks of Chirikov standard maps. To elucidate the applicability of the approach, we consider different network topologies and compare five different stochastic pinning strategies through extensive numerical simulations.

  13. 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

  14. Networking Lessons: From Computers to Water Iyswarya Narayanan, Venkatesh Sarangan, Arunchandar Vasan

    E-Print Network [OSTI]

    Srinivasan, Aravind

    Networking Lessons: From Computers to Water Iyswarya Narayanan, Venkatesh Sarangan, Arunchandar- working can be applied in water distribution networks to improve their energy footprint and/or efficiency networking can be used to better water distribution; (ii) we focus on a specific infrastructure enhancement

  15. 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

  16. Managing Capacity For Telecommunications Networks Under Uncertainty

    E-Print Network [OSTI]

    Forsyth, Peter A.

    the underlying risk factor in the bandwidth market, and then apply real options theory to the upgrade decision, this real options approach has not been used pre- viously in the area of network capacity planning--uncertain demand for capacity, real options, net- work planning I. INTRODUCTION In the past, bandwidth was traded

  17. Syllabus for EE 649: Stochastic Network Optimization

    E-Print Network [OSTI]

    Neely, Michael J.

    such as queue stability, network utility maximization, efficient energy allocation, profit maximization. 5. To explore hot-topic problems of opportunistic scheduling, approximate scheduling, dynamic data compression, efficient energy allocation, pricing, stock trading. 6. To enable students to apply the theory

  18. 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.

  19. Development of Novel Random Network Theory-Based Approaches to Identify Network Interactions among Nitrifying Bacteria

    SciTech Connect (OSTI)

    Shi, Cindy

    2015-07-17

    The interactions among different microbial populations in a community could play more important roles in determining ecosystem functioning than species numbers and their abundances, but very little is known about such network interactions at a community level. The goal of this project is to develop novel framework approaches and associated software tools to characterize the network interactions in microbial communities based on high throughput, large scale high-throughput metagenomics data and apply these approaches to understand the impacts of environmental changes (e.g., climate change, contamination) on network interactions among different nitrifying populations and associated microbial communities.

  20. 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...

  1. 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

  2. Heterogeneous Force Chains in Cellularized Biopolymer Network

    E-Print Network [OSTI]

    Liang, Long; Sun, Bo; Jiao, Yang

    2015-01-01

    Biopolymer Networks play an important role in coordinating and regulating collective cellular dynamics via a number of signaling pathways. Here, we investigate the mechanical response of a model biopolymer network due to the active contraction of embedded cells. Specifically, a graph (bond-node) model derived from confocal microscopy data is used to represent the network microstructure, and cell contraction is modeled by applying correlated displacements at specific nodes, representing the focal adhesion sites. A force-based stochastic relaxation method is employed to obtain force-balanced network under cell contraction. We find that the majority of the forces are carried by a small number of heterogeneous force chains emitted from the contracting cells. The force chains consist of fiber segments that either possess a high degree of alignment before cell contraction or are aligned due to the reorientation induced by cell contraction. Large fluctuations of the forces along different force chains are observed. ...

  3. Applied Mathematics Conferences and Workshops | U.S. DOE Office...

    Office of Science (SC) Website

    Applied Mathematics Applied Mathematics Conferences And Workshops Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Applied Mathematics...

  4. Neural networks and their application to nuclear power plant diagnosis

    SciTech Connect (OSTI)

    Reifman, J. [Argonne National Lab., IL (United States). Reactor Analysis Div.

    1997-10-01

    The authors present a survey of artificial neural network-based computer systems that have been proposed over the last decade for the detection and identification of component faults in thermal-hydraulic systems of nuclear power plants. The capabilities and advantages of applying neural networks as decision support systems for nuclear power plant operators and their inherent characteristics are discussed along with their limitations and drawbacks. The types of neural network structures used and their applications are described and the issues of process diagnosis and neural network-based diagnostic systems are identified. A total of thirty-four publications are reviewed.

  5. Stress controls the mechanics of collagen networks

    E-Print Network [OSTI]

    Albert James Licup; Stefan Münster; Abhinav Sharma; Michael Sheinman; Louise M. Jawerth; Ben Fabry; David A. Weitz; Fred C. MacKintosh

    2015-06-26

    Collagen is the main structural and load-bearing element of various connective tissues, where it forms the extracellular matrix that supports cells. It has long been known that collagenous tissues exhibit a highly nonlinear stress-strain relationship (Fung YC, Am J Physiol 213(6),1967; Humphrey JD, Proc R Soc Lond A: Math Phys Eng Sci 459(2029),2003), although the origins of this nonlinearity remain unknown (McMahon TA, Lec Math Life Sci 13,1980). Here, we show that the nonlinear stiffening of reconstituted type I collagen networks is controlled by the applied stress, and that the network stiffness becomes surprisingly insensitive to network concentration. We demonstrate how a simple model for networks of elastic fibers can quantitatively account for the mechanics of reconstituted collagen networks. Our model points to the important role of normal stresses in determining the nonlinear shear elastic response, which can explain the approximate exponential relationship between stress and strain reported for collagenous tissues (Fung YC, Am J Physiol 213(6),1967). This further suggests new principles for the design of synthetic fiber networks with collagen-like properties, as well as a mechanism for the control of the mechanics of such networks.

  6. International combustion engines; Applied thermosciences

    SciTech Connect (OSTI)

    Ferguson, C.R.

    1985-01-01

    Focusing on thermodynamic analysis - from the requisite first law to more sophisticated applications - and engine design, this book is an introduction to internal combustion engines and their mechanics. It covers the many types of internal combustion engines, including spark ignition, compression ignition, and stratified charge engines, and examines processes, keeping equations of state simple by assuming constant specific heats. Equations are limited to heat engines and later applied to combustion engines. Topics include realistic equations of state, stroichiometry, predictions of chemical equilibrium, engine performance criteria, and friction, which is discussed in terms of the hydrodynamic theory of lubrication and experimental methods such as dimensional analysis.

  7. ORISE: Applied health physics projects

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

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

  8. Sandia Energy - Applied Turbulent Combustion

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

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

  9. 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

  10. At the Intersection of Applied Formal Methods

    E-Print Network [OSTI]

    Zimmerman, Daniel M.

    of Technology University of Washington Tacoma NTU Graduate Seminar, - 7 January 2011 #12;Outline · Applied

  11. Building Reliable Software Applied Formal Methods

    E-Print Network [OSTI]

    Zimmerman, Daniel M.

    Institute of Technology University of Washington Tacoma #12;Outline · Applied Formal Methods · Correctness

  12. Finding influential spreaders from human activity beyond network location

    E-Print Network [OSTI]

    Min, Byungjoon; Makse, Hernán A

    2015-01-01

    Most centralities proposed for identifying influential spreaders on social networks to either spread a message or to stop an epidemic require the full topological information of the network on which spreading occurs. In practice, however, collecting all connections between agents in social networks can be hardly achieved. As a result, such metrics could be difficult to apply to real social networks. Consequently, a new approach for identifying influential people without the explicit network information is demanded in order to provide an efficient immunization or spreading strategy, in a practical sense. In this study, we seek a possible way for finding influential spreaders by using the social mechanisms of how social connections are formed in real networks. We find that a reliable immunization scheme can be achieved by asking people how they interact with each other. From these surveys we find that the probabilistic tendency to connect to a hub has the strongest predictive power for influential spreaders amo...

  13. 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...

  14. Robust Reconstruction of Complex Networks from Sparse Data

    E-Print Network [OSTI]

    Han, Xiao; Wang, Wen-Xu; Di, Zengru

    2015-01-01

    Reconstructing complex networks from measurable data is a fundamental problem for understanding and controlling collective dynamics of complex networked systems. However, a significant challenge arises when we attempt to decode structural information hidden in limited amounts of data accompanied by noise and in the presence of inaccessible nodes. Here, we develop a general framework for robust reconstruction of complex networks from sparse and noisy data. Specifically, we decompose the task of reconstructing the whole network into recovering local structures centered at each node. Thus, the natural sparsity of complex networks ensures a conversion from the local structure reconstruction into a sparse signal reconstruction problem that can be addressed by using the lasso, a convex optimization method. We apply our method to evolutionary games, transportation and communication processes taking place in a variety of model and real complex networks, finding that universal high reconstruction accuracy can be achie...

  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. Primal-Dual Interior Point Method Applied to the Short Term Hydroelectric Scheduling Including a

    E-Print Network [OSTI]

    Oliveira, Aurélio R. L.

    Primal-Dual Interior Point Method Applied to the Short Term Hydroelectric Scheduling Including that minimizes losses in the transmission and costs in the generation of a hydroelectric power system, formulated such perturbing parameter. Keywords-- Hydroelectric power system, Network flow, Predispatch, Primal-dual interior

  17. Applying an ObjectOriented Petri Net Language to Heterogeneous Systems Design

    E-Print Network [OSTI]

    Esser, Robert

    Applying an Object­Oriented Petri Net Language to Heterogeneous Systems Design Robert Esser ESEC SA and Networks Laboratory Swiss Federal Institute of Technology (ETH) Zurich, Switzerland {janneck, naedele and data or material flow dominated parts. The language consists of a class of high level time Petri nets

  18. Ensemble-based air quality forecasts: A multimodel approach applied to ozone

    E-Print Network [OSTI]

    Mallet, Vivien

    Ensemble-based air quality forecasts: A multimodel approach applied to ozone Vivien Mallet1 21 September 2006. [1] The potential of ensemble techniques to improve ozone forecasts ozone-monitoring networks. We found that several linear combinations of models have the potential

  19. Position estimation of transceivers in communication networks

    DOE Patents [OSTI]

    Kent, Claudia A. (Pleasanton, CA); Dowla, Farid (Castro Valley, CA)

    2008-06-03

    This invention provides a system and method using wireless communication interfaces coupled with statistical processing of time-of-flight data to locate by position estimation unknown wireless receivers. Such an invention can be applied in sensor network applications, such as environmental monitoring of water in the soil or chemicals in the air where the position of the network nodes is deemed critical. Moreover, the present invention can be arranged to operate in areas where a Global Positioning System (GPS) is not available, such as inside buildings, caves, and tunnels.

  20. 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

  1. Community detection and role identification in directed networks: understanding the Twitter network of the care.data debate

    E-Print Network [OSTI]

    Amor, B; Callahan, R; Darzi, A; Yaliraki, S N; Barahona, M

    2015-01-01

    With the rise of social media as an important channel for the debate and discussion of public affairs, online social networks such as Twitter have become important platforms for public information and engagement by policy makers. To communicate effectively through Twitter, policy makers need to understand how influence and interest propagate within its network of users. In this chapter we use graph-theoretic methods to analyse the Twitter debate surrounding NHS England's controversial care.data scheme. Directionality is a crucial feature of the Twitter social graph - information flows from the followed to the followers - but is often ignored in social network analyses; our methods are based on the behaviour of dynamic processes on the network and can be applied naturally to directed networks. We uncover robust communities of users and show that these communities reflect how information flows through the Twitter network. We are also able to classify users by their differing roles in directing the flow of infor...

  2. Department of Applied Mathematics Faculty of EEMCS

    E-Print Network [OSTI]

    Boucherie, Richard J.

    @math.utwente.nl www.math.utwente.nl/publications Memorandum No. 1734 Versatile Markovian models for networks ISSN 0169-2690 #12;Versatile Markovian Models for Networks with Asymmetric TCP Sources N.D. van Foreest Abstract In this paper we use Stochastic Petri Nets (SPNs) to study the interaction of multiple TCP sources

  3. 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

  4. 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

  5. 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

  6. 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...

  7. 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...

  8. 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

  9. 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 ...

  10. Synchronization in Complex Oscillator Networks and Smart Grids

    E-Print Network [OSTI]

    Florian Dörfler; Michael Chertkov; Francesco Bullo

    2012-07-31

    The emergence of synchronization in a network of coupled oscillators is a fascinating topic in various scientific disciplines. A coupled oscillator network is characterized by a population of heterogeneous oscillators and a graph describing the interaction among them. It is known that a strongly coupled and sufficiently homogeneous network synchronizes, but the exact threshold from incoherence to synchrony is unknown. Here we present a novel, concise, and closed-form condition for synchronization of the fully nonlinear, non-equilibrium, and dynamic network. Our synchronization condition can be stated elegantly in terms of the network topology and parameters, or equivalently in terms of an intuitive, linear, and static auxiliary system. Our results significantly improve upon the existing conditions advocated thus far, they are provably exact for various interesting network topologies and parameters, they are statistically correct for almost all networks, and they can be applied equally to synchronization phenomena arising in physics and biology as well as in engineered oscillator networks such as electric power networks. We illustrate the validity, the accuracy, and the practical applicability of our results in complex networks scenarios and in smart grid applications.

  11. CX-007571: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pulaski County - Wastewater CX(s) Applied: B5.1 Date: 12/29/2011 Location(s): Missouri Offices(s): Golden Field Office

  12. CX-007596: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Ohio Advanced Transportation Partnership CX(s) Applied: B5.23 Date: 01/25/2012 Location(s): Ohio Offices(s): National Energy Technology Laboratory

  13. CX-012729: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hydrogen Sulfide Scavenger BOA (Multiple) CX(s) Applied: B5.2Date: 41880 Location(s): LouisianaOffices(s): Strategic Petroleum Reserve Field Office

  14. CX-008588: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    St. Petersburg Solar Pilot Project CX(s) Applied: B5.1 Date: 07/19/2012 Location(s): Florida Offices(s): Golden Field Office

  15. CX-008684: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Metaline Radio Station Upgrade Project CX(s) Applied: B1.19 Date: 07/11/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  16. CX-010148: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Merritt Radio Station Upgrade CX(s) Applied: B1.19 Date: 04/18/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  17. CX-008706: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Tunk Mountain Radio Station Upgrade CX(s) Applied: B1.19 Date: 05/30/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  18. CX-012716: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    General Scientific Infrastructure Support for University of Wisconsin CX(s) Applied: B1.31Date: 41844 Location(s): WisconsinOffices(s): Nuclear Energy

  19. CX-008543: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Colorado State Energy Plan 2012 CX(s) Applied: A9, A11 Date: 06/25/2012 Location(s): Colorado Offices(s): Golden Field Office

  20. CX-012333: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Support Buildings CX(s) Applied: B1.15 Date: 06/03/2014 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  1. CX-011165: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Heavy Mineral Separation CX(s) Applied: B3.6 Date: 08/07/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  2. CX-012817: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bell Maintenance Headquarters Access Road Maintenance CX(s) Applied: B1.3Date: 41890 Location(s): WashingtonOffices(s): Bonneville Power Administration

  3. CX-006225: Categorical Exclusion Determination | Department of...

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

    Infrastructure Upgrades - Materials and Fuel Complex (MFC)- Irradiated Materials Characterization Laboratory (IMCL) CX(s) Applied: B3.6 Date: 06072011 Location(s): Idaho Falls,...

  4. CX-010791: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    Exclusion Determination Gulf of Mexico Miocene Carbon Dioxide (CO2) Site Characterization Mega Transect CX(s) Applied: A9, A11 Date: 08142013 Location(s): Texas...

  5. Categorical Exclusion Determinations: Science | Department of...

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

    Determination Establishment of an Easement for Enhanced Electrical Service to the Computational Sciences Facility CX(s) Applied: B1.7 Date: 08302011 Location(s):...

  6. CX-011634: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Closure Turf Installation CX(s) Applied: B6.1 Date: 08/27/2013 Location(s): Texas Offices(s): Pantex Site Office

  7. CX-008993: Categorical Exclusion Determination | Department of...

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

    CX-008993: Categorical Exclusion Determination "Continuous Processing of High Thermal Conductivity Polyethylene Fibers and Sheets CX(s) Applied: A9, B3.6 Date: 0822...

  8. CX-012776: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Catalyst Processing, KCP14-05 CX(s) Applied: NOT NOTEDDate: 41857 Location(s): MissouriOffices(s): Kansas City Site Office

  9. CX-008146: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advanced Formation Evaluator Tools (Haliburton) CX(s) Applied: B3.7 Date: 09/11/2011 Location(s): Wyoming Offices(s): RMOTC

  10. CX-004095: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-004095: Categorical Exclusion Determination Thermal Transport Properties of Nanostructured Materials for Energy Conversion CX(s) Applied: B3.6 Date: 09...

  11. CX-008144: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Planned Repair of Flow Lines CX(s) Applied: B5.4 Date: 08/09/2011 Location(s): Wyoming Offices(s): RMOTC

  12. CX-003164: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-003164: Categorical Exclusion Determination Optimization of Biomass Production Across a Landscape CX(s) Applied: A9 Date: 07262010...

  13. CX-012730: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Replace West Hackberry Radio Tower CX(s) Applied: B1.19Date: 41880 Location(s): LouisianaOffices(s): Strategic Petroleum Reserve Field Office

  14. CX-011069: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Induction Furnace Melting CX(s) Applied: B3.6 Date: 08/29/2013 Location(s): Oregon Offices(s): National Energy Technology Laboratory

  15. CX-010057: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Eugene Substation Protective Relay Installation CX(s) Applied: B1.7 Date: 01/29/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  16. CX-011214: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sensitive Instrument Facility CX(s) Applied: B3.6 Date: 07/10/2013 Location(s): Iowa Offices(s): Ames Site Office

  17. CX-012795: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    North Bonneville Substation 23- Kilovolt Line Retermination CX(s) Applied: B4.11Date: 41926 Location(s): WashingtonOffices(s): Bonneville Power Administration

  18. CX-010618: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Midwest Region Alternative Fuels Project CX(s) Applied: 0 Date: 07/19/2013 Location(s): Missouri Offices(s): National Energy Technology Laboratory

  19. CX-012789: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Building 440 CNM Clean Room Expansion CX(s) Applied: B3.15Date: 41906 Location(s): IllinoisOffices(s): Argonne Site Office

  20. CX-008438: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biogas Reconditioning Project CX(s) Applied: B5.1 Date: 06/27/2012 Location(s): Nevada Offices(s): National Energy Technology Laboratory

  1. CX-008282: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biogas Reconditioning Project CX(s) Applied: B5.1 Date: 05/01/2012 Location(s): Nevada Offices(s): National Energy Technology Laboratory

  2. Categorical Exclusion Determinations: Western Area PowerAdministratio...

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

    Center October 26, 2009 CX-005544: Categorical Exclusion Determination Power Rate Formula for the Provo River Project of the Western Area Power Administration CX(s) Applied:...

  3. CX-012311: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Accelerator Test Facility II CX(s) Applied: B3.10 Date: 05/28/2014 Location(s): New York Offices(s): Brookhaven Site Office

  4. CX-008799: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Jack Case Showers Projects CX(s) Applied: B1.3 Date: 06/04/2012 Location(s): Tennessee Offices(s): Y-12 Site Office

  5. CX-010763: Categorical Exclusion Determination | Department of...

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

    CX-010763: Categorical Exclusion Determination Nevada Desert Research Institute- Photovoltaic Installation CX(s) Applied: B5.16 Date: 07172013 Location(s): Nevada Offices(s):...

  6. CX-012254: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hydro Research Foundation University Research Awards - Vanderbilt CX(s) Applied: A9 Date: 05/28/2014 Location(s): Tennessee Offices(s): Golden Field Office

  7. CX-012253: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hydro Research Foundation University Research Awards - OSU CX(s) Applied: A9 Date: 05/27/2014 Location(s): Oregon Offices(s): Golden Field Office

  8. CX-004351: Categorical Exclusion Determination | Department of...

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

    4351: Categorical Exclusion Determination CX-004351: Categorical Exclusion Determination Center for Development of Math, Science and Technology CX(s) Applied: B1.15 Date: 1029...

  9. CX-003959: Categorical Exclusion Determination | Department of...

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

    59: Categorical Exclusion Determination CX-003959: Categorical Exclusion Determination Federal Bureau of Investigation Radiological Dispersion Device Training CX(s) Applied: B1.2...

  10. CX-010689: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Generic CX Determination for Financial Assistance Awards CX(s) Applied: Unknown Date: 07/17/2013 Location(s): Illinois Offices(s): Chicago Office

  11. CX-005987: Categorical Exclusion Determination | Department of...

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

    87: Categorical Exclusion Determination CX-005987: Categorical Exclusion Determination Stion Corporation - Superstrate Device for High Efficiency Tandem Modules CX(s) Applied: A9,...

  12. Categorical Exclusion (CX) Determinations By Date | Department...

    Office of Environmental Management (EM)

    (CX) Determinations By Date Categorical Exclusion (CX) Determinations By Date August 25, 2015 CX-012469: Categorical Exclusion Determination Gas Analysis Services CX(s) Applied:...

  13. CX-100022: Categorical Exclusion Determination | Department of...

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

    CX-100022: Categorical Exclusion Determination CX-100022: Categorical Exclusion Determination EERE Demonstration for Advanced Retro-Commissioning Technology CX(s) Applied: A9,...

  14. CX-001378: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    378: Categorical Exclusion Determination CX-001378: Categorical Exclusion Determination Wackenhut Services, Incorporated Training Facility CX(s) Applied: B1.2 Date: 10282009...

  15. CX-012664: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SBIR/STTR Phase 0 Outreach and Assistance Program CX(s) Applied: A8Date: 41844 Location(s): IllinoisOffices(s): Chicago Office

  16. CX-007826: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    007826: Categorical Exclusion Determination CX-007826: Categorical Exclusion Determination "Crittenden City Facilities Re-Roofing CX(s) Applied: B5.1 Date: 01312012 Location(s):...

  17. CX-012433: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Computer Simulation and Prototype Construction and Testing CX(s) Applied: A9Date: 41878 Location(s): GeorgiaOffices(s): National Energy Technology Laboratory

  18. CX-000310: Categorical Exclusion Determination | Department of...

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

    0: Categorical Exclusion Determination CX-000310: Categorical Exclusion Determination New Jersey Revision 1 - Energy Efficiency Upgrades for State Buildings CX(s) Applied: A9, A11,...

  19. CX-009923: Categorical Exclusion Determination | Department of...

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

    CX-009923: Categorical Exclusion Determination CX-009923: Categorical Exclusion Determination Project Icebreaker CX(s) Applied: A9, B3.1 Date: 01072013 Location(s): Ohio...

  20. CX-007056: Categorical Exclusion Determination | Department of...

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

    7056: Categorical Exclusion Determination CX-007056: Categorical Exclusion Determination Interstate Electrification Improvement CX(s) Applied: B5.1 Date: 09192011 Location(s):...

  1. CX-100290 Categorical Exclusion Determination | Department of...

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

    0 Categorical Exclusion Determination CX-100290 Categorical Exclusion Determination Location, Location, Efficiency (Milwaukee, WI) Award Number: DE-EE0007069 CX(s) Applied: A9,...

  2. CX-003197: Categorical Exclusion Determination | Department of...

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

    7: Categorical Exclusion Determination CX-003197: Categorical Exclusion Determination Low Cost High Concentration Photovoltaic Systems for Utility Power Generation CX(s) Applied:...

  3. CX-007370: Categorical Exclusion Determination | Department of...

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

    370: Categorical Exclusion Determination CX-007370: Categorical Exclusion Determination Idaho-TRIBE-SHOSHONE-BANNOCK TRIBE OF THE FORT HALL RESERVATION OF IDAHO CX(s) Applied:...

  4. CX-008534: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Peter Wentz Geothermal CX(s) Applied: B5.19 Date: 05/23/2012 Location(s): Pennsylvania Offices(s): Golden Field Office

  5. CX-008204: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Finch CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  6. CX-008203: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Demoret CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  7. CX-009442: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cutters Grove, Anoka CX(s) Applied: A9, B5.19 Date: 07/31/2012 Location(s): Minnesota Offices(s): Golden Field Office

  8. CX-007836: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Building Retrofits CX(s) Applied: B5.19 Date: 01/30/2012 Location(s): Illinois Offices(s): Energy Efficiency and Renewable Energy

  9. CX-008241: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Teter CX(s) Applied: B5.19 Date: 05/15/2012 Location(s): Missouri Offices(s): Golden Field Office

  10. CX-008205: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Weaver CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  11. CX-012097: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Microgrid Demonstration Project CX(s) Applied: B5.15 Date: 03/24/2014 Location(s): Idaho Offices(s): Idaho Operations Office

  12. CX-002327: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    Determination Central Facility Area and Advanced Test Reactor-Complex Analytical and Research and Development Laboratory Operation (Overarching) CX(s) Applied: B3.6 Date: 05...

  13. CX-005162: Categorical Exclusion Determination | Department of...

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

    5162: Categorical Exclusion Determination CX-005162: Categorical Exclusion Determination Green Chemistry - CEAM Phase 3 - Working Bug LLC CX(s) Applied: B5.1 Date: 02082011...

  14. CX-008545: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solar Energy Evolution and Diffusion Studies CX(s) Applied: A9 Date: 06/19/2012 Location(s): CX: none Offices(s): Golden Field Office

  15. CX-012200: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determination of Excess Real Property CX(s) Applied: B1.36 Date: 05/01/2014 Location(s): Colorado Offices(s): Legacy Management

  16. CX-100081: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-100081: Categorical Exclusion Determination Harnessing the Hydro-Electric Potential of Engineered Drops Award Number: DE-EE0005428 CX(s) Applied:...

  17. CX-012122: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    OCGen Module Mooring Project CX(s) Applied: B5.25 Date: 04/29/2014 Location(s): Maine Offices(s): Golden Field Office

  18. CX-006209: Categorical Exclusion Determination | Department of...

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

    Determination Missouri Independent Energy Efficiency Program: Anheuser-Busch - Brewery Energy Efficiency Retrofits CX(s) Applied: B5.1 Date: 07012011 Location(s): Saitn...

  19. CX-010109: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    09: Categorical Exclusion Determination CX-010109: Categorical Exclusion Determination Curecanti-Poncha 230 Kilovolt Transmission Line Cross Bar Ranch Project CX(s) Applied: B1.3...

  20. CX-008683: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Shaniko Radio Station Replacement Project CX(s) Applied: B1.19 Date: 07/11/2012 Location(s): Oregon Offices(s): Bonneville Power Administration

  1. CX-009698: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sale of Lakeside Radio Station CX(s) Applied: B1.24 Date: 12/27/2012 Location(s): Oregon Offices(s): Bonneville Power Administration

  2. CX-012231: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mica Peak Radio Station upgrade CX(s) Applied: B1.19 Date: 06/09/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  3. CX-011190: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Alberton Communication Site Construction CX(s) Applied: B1.19 Date: 08/26/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  4. CX-010155: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Augspurger Radio Tower Replacement Project CX(s) Applied: B1.19 Date: 04/03/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  5. CX-011401: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Minto Lodge Rehabilitation CX(s) Applied: B5.1 Date: 11/19/2013 Location(s): Alaska Offices(s): Golden Field Office

  6. CX-010237: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pittsburgh Green Innovators Synergy Center CX(s) Applied: A9 Date: 02/28/2013 Location(s): Pennsylvania Offices(s): Golden Field Office

  7. CX-008973: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Petrography Laboratory CX(s) Applied: B3.6 Date: 08/01/2012 Location(s): West Virginia Offices(s): National Energy Technology Laboratory

  8. CX-010730: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Paisley Geothermal Integration CX(s) Applied: B1.7 Date: 08/09/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  9. CX-008161: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Prosser Hatchery Backup Generator Replacement CX(s) Applied: B1.31 Date: 04/16/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  10. CX-008700: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Natapoc Property Funding CX(s) Applied: B1.25 Date: 06/12/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  11. CX-012788: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bio-Aviation Fuel LCA with GREET CX(s) Applied: B5.15Date: 41906 Location(s): IllinoisOffices(s): Argonne Site Office

  12. CX-012718: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Idaho State University Reactor Laboratory Modernization CX(s) Applied: B1.31Date: 41844 Location(s): IdahoOffices(s): Nuclear Energy

  13. CX-012189: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Microbial Laboratory Analysis CX(s) Applied: B3.12 Date: 05/06/2014 Location(s): Illinois Offices(s): Argonne Site Office

  14. CX-012317: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    High Performance Computing Upgrades CX(s) Applied: B1.31 Date: 06/16/2014 Location(s): Idaho Offices(s): Nuclear Energy

  15. CX-012725: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Materials and Fuel Complex (MFC)-782 Fire Sprinkler Installation CX(s) Applied: B2.2Date: 41829 Location(s): IdahoOffices(s): Nuclear Energy

  16. CX-010515: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energy Efficiency Public Service Campaign CX(s) Applied: A9 Date: 06/14/2013 Location(s): New York Offices(s): Golden Field Office

  17. CX-007856: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sacramento Regional Energy Alliance CX(s) Applied: B5.23 Date: 01/27/2012 Location(s): California Offices(s): Golden Field Office

  18. CX-007858: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Southwest Solar Transformation Initiative CX(s) Applied: A9, A11 Date: 01/27/2012 Location(s): California Offices(s): Golden Field Office

  19. CX-008250: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Geotechnical Core Drilling for USGS 138 CX(s) Applied: B3.1 Date: 04/18/2012 Location(s): Idaho Offices(s): Nuclear Energy

  20. CX-012110: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cowlitz Falls Fish Facility Access Agreement Extension CX(s) Applied: A2 Date: 04/02/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  1. CX-009398: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Domestic Source Recovery CX(s) Applied: B2.6 Date: 11/01/2012 Location(s): New Mexico Offices(s): Los Alamos Site Office

  2. CX-012705: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Materials and Fuels Complex (MFC)-703 Fire Alarm Replacement CX(s) Applied: B2.2Date: 41858 Location(s): IdahoOffices(s): Nuclear Energy

  3. CX-011250: Categorical Exclusion Determination | Department of...

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

    Determination Transforming Photovoltaic Installations Toward Dispatchable, Schedulable Energy Solutions CX(s) Applied: B3.6, B5.15 Date: 10172013 Location(s): Oregon...

  4. CX-005950: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    Determination Wisconsin Clean Transportation Partnership: Riteway Bus Services Propane Fueling Infrastructure CX(s) Applied: B5.1 Date: 06012011 Location(s): Oak Creek,...

  5. CX-006893: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    Exclusion Determination Ohio Advanced Transportation PartnershipFrito Lay Columbus Propane Fueling Infrastructure CX(s) Applied: B5.1 Date: 09282011 Location(s): Columbus,...

  6. CX-008535: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    King County Biogas and Nutrient Reduction CX(s) Applied: A9 Date: 05/22/2012 Location(s): Washington Offices(s): Golden Field Office

  7. CX-011110: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advancements in Algal Biomass Yield CX(s) Applied: A9 Date: 08/29/2013 Location(s): Hawaii Offices(s): Golden Field Office

  8. CX-010343: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bald Hill Farms Property Funding CX(s) Applied: B1.25 Date: 05/10/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  9. CX-011630: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    9831 Wall Construction Project CX(s) Applied: B1.3 Date: 06/05/2013 Location(s): Tennessee Offices(s): Y-12 Site Office

  10. CX-012816: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Rogue-Gold Beach Access Road Improvement CX(s) Applied: B1.3Date: 41890 Location(s): OregonOffices(s): Bonneville Power Administration

  11. CX-011177: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hebo Substation Access Road Maintenance CX(s) Applied: B1.3 Date: 09/13/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  12. CX-011184: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Salmon Creek Pond Property Funding CX(s) Applied: B1.25 Date: 08/29/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  13. CX-008698: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Poorman Ponds Property Funding CX(s) Applied: B1.25 Date: 06/12/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  14. CX-009630: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    ICP Routine Maintenance CX(s) Applied: B1.3 Date: 11/06/2012 Location(s): Idaho Offices(s): Idaho Operations Office

  15. CX-009632: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    INTEC – Suspect RH-TRU (AMWTP) CX(s) Applied: NO CX GIVEN Date: 11/23/2012 Location(s): Idaho Offices(s): Idaho Operations Office

  16. CX-012722: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Test Reactor Area (TRA)-653 Conference Room Modifications CX(s) Applied: B1.15Date: 41829 Location(s): IdahoOffices(s): Nuclear Energy

  17. CX-011564: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Excess Facilities Deactivation and Demolition CX(s) Applied: B1.23 Date: 11/05/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  18. CX-009753: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Propane Corridor Development Program CX(s) Applied: B5.22 Date: 12/06/2012 Location(s): Georgia Offices(s): National Energy Technology Laboratory

  19. CX-012482: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mid-Atlantic Regional Infrastructure Development Project CX(s) Applied: B5.22Date: 41862 Location(s): MarylandOffices(s): National Energy Technology Laboratory

  20. CX-012002: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Raver-Covington Conductor Replacement CX(s) Applied: B1.3 Date: 04/24/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  1. CX-010772: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Water Security Test Bed (WSTB) CX(s) Applied: B3.6 Date: 07/17/2013 Location(s): Idaho Offices(s): Nuclear Energy

  2. CX-100159 Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Proposed Rulemaking for Energy Conservation Standards for Commercial and Industrial Pumps RIN: 1904-AC54 CX(s) Applied: B5.1

  3. CX-100160 Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Proposed Rulemaking for Energy Conservation Standards for Residential Dehumidifiers RIN: 1904-AC81 CX(s) Applied: B5.1

  4. CX-012706: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Radiochemistry Laboratory (RCL) Supply Intake Filter Housing CX(s) Applied: B2.5Date: 41858 Location(s): IdahoOffices(s): Nuclear Energy

  5. CX-009295: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energy Regional Innovation Cluster CX(s) Applied: B3.6 Date: 09/05/2012 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  6. CX-003226: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    Exclusion Determination Parris Island Wind Resource Assessment; National Renewable Energy Laboratory Tracking Number 10-032 CX(s) Applied: A9, B3.1 Date: 08042010...

  7. CX-010258: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bangladesh Meteorological Instrumentation Installation CX(s) Applied: A9 Date: 04/26/2013 Location(s): Colorado Offices(s): Golden Field Office

  8. CX-008803: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Milling Machine Replacement Projects CX(s) Applied: B1.31 Date: 05/14/2012 Location(s): Tennessee Offices(s): Y-12 Site Office

  9. CX-002355: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-002355: Categorical Exclusion Determination Kansas City Power and Light (KCP&L) Green Impact Zone Smart Grid Demonstration CX(s) Applied:...

  10. CX-010113: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Compression Stress Relaxometer CX(s) Applied: B3.6 Date: 03/28/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  11. CX-012434: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Low Cost Titanium Casting Technology CX(s) Applied: B3.6Date: 41878 Location(s): OhioOffices(s): National Energy Technology Laboratory

  12. CX-009587: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    City of Houston, Texas CX(s) Applied: B5.1 Date: 12/12/2012 Location(s): Texas Offices(s): Golden Field Office

  13. CX-010261: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Nevada State Energy Program Formula CX(s) Applied: B5.16 Date: 04/26/2013 Location(s): Nevada Offices(s): Golden Field Office

  14. CX-009635: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    INTEC – U-233 Waste Stream Disposition CX(s) Applied: NO CX GIVEN Date: 12/15/2012 Location(s): Idaho Offices(s): Idaho Operations Office

  15. CX-009019: Categorical Exclusion Determination | Department of...

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

    Determination CX-009019: Categorical Exclusion Determination "Catalyst-Assisted Manufacture of Olefins from Natural Gas Liquids: Prototype Development CX(s) Applied: A9, B3.6...

  16. CX-011625: Categorical Exclusion Determinationc

    Broader source: Energy.gov [DOE]

    9103 Second Floor Refurbishment CX(s) Applied: B1.3 Date: 06/05/2013 Location(s): Tennessee Offices(s): Y-12 Site Office

  17. CX-008609: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Vermont State Energy Program CX(s) Applied: A9, A11 Date: 07/03/2012 Location(s): Vermont Offices(s): Golden Field Office

  18. CX-012790: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Haystack Butte Radio Site Land Acquisition CX(s) Applied: B1.24Date: 41939 Location(s): WashingtonOffices(s): Bonneville Power Administration

  19. CX-004247: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-004247: Categorical Exclusion Determination Carolina Blue Skies Initiative CX(s) Applied: A1, B5.1 Date: 10142010 Location(s): Indian Trail,...

  20. CX-012655: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Acquisition of Access Road Easements CX(s) Applied: B1.24Date: 41849 Location(s): WashingtonOffices(s): Bonneville Power Administration

  1. CX-012809: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    LURR 20140313 City of Vancouver Sewer Lateral CX(s) Applied: B4.9Date: 41906 Location(s): WashingtonOffices(s): Bonneville Power Administration

  2. CX-012651: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    LURR20140464 - Spencer May - Fence Construction CX(s) Applied: B4.9Date: 41858 Location(s): WashingtonOffices(s): Bonneville Power Administration

  3. CX-012632: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    LURR 20140456 - Salmon Creek Avenue Pathway Project CX(s) Applied: B4.9Date: 41885 Location(s): WashingtonOffices(s): Bonneville Power Administration

  4. CX-012808: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    LURR 20140504 Ross Substation Comcast Fiber Installation CX(s) Applied: B4.9Date: 41906 Location(s): WashingtonOffices(s): Bonneville Power Administration

  5. CX-012637: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    LURR 20140521 - David King - Sewer Line Installation CX(s) Applied: B4.9Date: 41876 Location(s): OregonOffices(s): Bonneville Power Administration

  6. CX-010398: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Power Line Configuration CX(s) Applied: B4.13 Date: 04/25/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  7. CX-010091: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Power Line Configuration 2013-1 CX(s) Applied: B4.13 Date: 04/15/2012 Location(s): Idaho Offices(s): Nuclear Energy

  8. CX-002194: Categorical Exclusion Determination | Department of...

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

    CX-002194: Categorical Exclusion Determination Install Demonstration Wind Turbine at Weldon Spring, Missouri, Site CX(s) Applied: B5.1 Date: 04282010 Location(s):...

  9. CX-012812: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Chemawa-Salem #1 & #2 Access Road Maintenance CX(s) Applied: B1.3Date: 41893 Location(s): OregonOffices(s): Bonneville Power Administration

  10. CX-012469: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gas Analysis Services CX(s) Applied: B3.6Date: 41876 Location(s): OregonOffices(s): National Energy Technology Laboratory

  11. CX-010656: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Stormwater Drainage Repair CX(s) Applied: B1.3 Date: 06/18/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  12. CX-011995: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011995: Categorical Exclusion Determination Hat Rock Tap Switching Station Equipment Transfer CX(s) Applied: B1.24 Date: 04102014 Location(s):...

  13. CX-005991: Categorical Exclusion Determination | Department of...

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

    CX-005991: Categorical Exclusion Determination Prairie Village, Kansas Ground Source Heat Pump Relocation CX(s) Applied: B5.1 Date: 05252011 Location(s): Prairie Village,...

  14. CX-012118: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Hydro Research Foundation University Research Awards - Tufts CX(s) Applied: A9 Date: 05/21/2014 Location(s): Georgia Offices(s): Golden Field Office

  15. CX-010437: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Rocky Ridge Radio Station Upgrade CX(s) Applied: B1.19 Date: 05/31/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  16. CX-011239: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Security Upgrades at Multiple Substations CX(s) Applied: ? Date: 10/02/2013 Location(s): Oregon, Washington Offices(s): Bonneville Power Administration

  17. CX-012474: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Refractories/Ceramics Project CX(s) Applied: B3.6Date: 41870 Location(s): OregonOffices(s): National Energy Technology Laboratory

  18. CX-007418: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sidewalks to School CX(s) Applied: B1.13 Date: 12/13/2011 Location(s): South Carolina Offices(s): Golden Field Office

  19. CX-006211: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination Missouri Independent Energy Efficiency Program: Henniges Automotive - Process Air Compressor Upgrades CX(s) Applied: B5.1 Date: 07182011 Location(s):...

  20. CX-009423: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Relay and Switchboard Panel Replacements CX(s) Applied: B4.6 Date: 10/29/2012 Location(s): Arkansas Offices(s): Southwestern Power Administration

  1. CX-012310: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sawmill Creek Stream Bank Erosion CX(s) Applied: B1.3 Date: 06/06/2014 Location(s): Illinois Offices(s): Argonne Site Office

  2. CX-009132: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Landfill Gas Utilization Plant CX(s) Applied: B5.21 Date: 08/02/2012 Location(s): New York Offices(s): Golden Field Office

  3. CX-012566: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Z-Area Fire Tank Painting CX(s) Applied: B1.3Date: 41865 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  4. CX-007893: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SunShot Massachusetts CX(s) Applied: A9, A11 Date: 02/10/2012 Location(s): Massachusetts Offices(s): Golden Field Office

  5. CX-012463: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Reliable SOFC Systems CX(s) Applied: A9, B3.6Date: 41877 Location(s): ConnecticutOffices(s): National Energy Technology Laboratory

  6. CX-011626: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Line Yard Fence Project CX(s) Applied: B1.11 Date: 06/05/2013 Location(s): Tennessee Offices(s): Y-12 Site Office

  7. CX-010869: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Nauticas Research Program CX(s) Applied: B3.6 Date: 08/07/2013 Location(s): Illinois Offices(s): Argonne Site Office

  8. CX-007407: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advanced Floating Turbine CX(s) Applied: A9 Date: 12/07/2011 Location(s): Ohio Offices(s): Golden Field Office

  9. CX-010768: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    ZIRCEX Nuclear Fuel Dissolution Testing CX(s) Applied: B3.6 Date: 08/12/2013 Location(s): Idaho Offices(s): Nuclear Energy

  10. CX-012810: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    St. Johns-Keeler Minor Access Road Improvement CX(s) Applied: B1.3Date: 41901 Location(s): OregonOffices(s): Bonneville Power Administration

  11. CX-009513: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Aquatic Invasive Mussels Monitoring CX(s) Applied: B3.1 Date: 10/15/2012 Location(s): CX: none Offices(s): Bonneville Power Administration

  12. CX-012658: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Chief Joseph and Custer Substations Security Fence Replacement CX(s) Applied: B1.11Date: 41843 Location(s): WashingtonOffices(s): Bonneville Power Administration

  13. CX-007549: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Harrisonville - Waste Water Treatment Plant CX(s) Applied: B5.1 Date: 01/10/2012 Location(s): Missouri Offices(s): Golden Field Office

  14. CX-007550: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Kearney - Waste Water Treatment Plant CX(s) Applied: B5.1 Date: 01/10/2012 Location(s): Missouri Offices(s): Golden Field Office

  15. CX-007417: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Shift CX(s) Applied: B5.1 Date: 12/21/2011 Location(s): Pennsylvania Offices(s): Golden Field Office

  16. CX-010532: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Various Demolition Jobs CX(s) Applied: B1.23 Date: 06/07/2013 Location(s): Illinois Offices(s): Fermi Site Office

  17. CX-012796: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Big Eddy-Redmond #1 Wood Pole Replacements CX(s) Applied: B1.3Date: 41919 Location(s): OregonOffices(s): Bonneville Power Administration

  18. CX-012818: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    La Pine-Chiloquin Wood Pole Replacements CX(s) Applied: B1.3Date: 41887 Location(s): OregonOffices(s): Bonneville Power Administration

  19. CX-012813: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Redmond-Pilot Butte #1 Wood Pole Replacements CX(s) Applied: B1.3Date: 41893 Location(s): OregonOffices(s): Bonneville Power Administration

  20. CX-012799: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Malin-Hilltop Wood Pole Replacements CX(s) Applied: B1.3Date: 41915 Location(s): CaliforniaOffices(s): Bonneville Power Administration

  1. CX-012805: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Brasada-Harney #1 Wood Pole Replacements CX(s) Applied: B1.3Date: 41908 Location(s): OregonOffices(s): Bonneville Power Administration

  2. CX-012798: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Davis Creek Tap Wood Pole Replacements CX(s) Applied: B1.3Date: 41915 Location(s): CaliforniaOffices(s): Bonneville Power Administration

  3. CX-009166: Categorical Exclusion Determination | Department of...

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

    Integration of Waste Heat Recovery, Waste-to-Energy Conversion, and Waste-to-Chemical Conversion with Industrial Gas and Chemical Manufacturing Processes CX(s) Applied:...

  4. CX-011534: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Grays River Confluence Property Funding CX(s) Applied: B1.25 Date: 11/08/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  5. 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

  6. 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.

  7. Academic Plan Faculty of Applied Science & Engineering

    E-Print Network [OSTI]

    Toronto, University of

    Academic Plan Faculty of Applied Science & Engineering University of Toronto 2011 to 2016 Approved by Faculty Council October 6, 2011 #12;Faculty of Applied Science & Engineering Academic Plan Table ........................................................................................... 13 Chapter 4: Educating Future Engineers

  8. Network Characterization Service (NCS)

    SciTech Connect (OSTI)

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

    2001-06-06

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

  9. Deep Vadose Zone Applied Field Research Initiative

    E-Print Network [OSTI]

    Deep Vadose Zone­ Applied Field Research Initiative Fiscal Year 2012 Annual Report #12;Prepared Tasks 25 References 25 Appendix: FY2012 Products for the Deep Vadose Zone­ Applied Field Research Initiative Contents #12;Message from the Deep Vadose Zone- Applied Field Research Initiative Project Manager

  10. Montana State University 1 Applied Mathematics

    E-Print Network [OSTI]

    Maxwell, Bruce D.

    Montana State University 1 Applied Mathematics Option M 171Q Calculus I 4 or M 181Q 348 Techniques of Applied Math I 3 M 349 Techniques of Applied Mathematics II 3 M 386R Software Applications in Mathematics 3 M 441 Numerical Linear Algebra & Optimization 3 M 442 Numerical Solution

  11. Journal of Computational and Applied Mathematics

    E-Print Network [OSTI]

    Bohner, Martin

    Journal of Computational and Applied Mathematics Most downloaded articles January - August 2004 1: a survey Journal of Computational and Applied Mathematics, 141 (2002) 1-26 2. M. Z. Liu, M. H. Song and Z([t])*1 Journal of Computational and Applied Mathematics, 166 (2004) 361-370 3. S. Kutluay, A. Esen and I

  12. Online Master of Science in Applied Psychology

    E-Print Network [OSTI]

    Zhou, Xianghong Jasmine

    Online Master of Science in Applied Psychology #12;Online Master of Science in Applied Psychology of psychology to today's changing business environment. On behalf of the University of Southern California, I Psychology online program. Here at USC, we recognize the importance of applying psychology in many areas

  13. Spatial network surrogates for disentangling complex system structure from spatial embedding of nodes

    E-Print Network [OSTI]

    Wiedermann, Marc; Kurths, Jürgen; Donner, Reik V

    2015-01-01

    Networks with nodes embedded in a metric space have gained increasing interest in recent years. The effects of spatial embedding on the networks' structural characteristics, however, are rarely taken into account when studying their macroscopic properties. Here, we propose a hierarchy of null models to generate random surrogates from a given spatially embedded network that can preserve global and local statistics associated with the nodes' embedding in a metric space. Comparing the original network's and the resulting surrogates' global characteristics allows to quantify to what extent these characteristics are already predetermined by the spatial embedding of the nodes and links. We apply our framework to various real-world spatial networks and show that the proposed models capture macroscopic properties of the networks under study much better than standard random network models that do not account for the nodes' spatial embedding. Depending on the actual performance of the proposed null models, the networks...

  14. The spatial component of R&D networks

    E-Print Network [OSTI]

    Scholl, Tobias; Schweitzer, Frank

    2015-01-01

    We study the role of geography in R&D networks by means of a quantitative, micro-geographic approach. Using a large database that covers international R&D collaborations from 1984 to 2009, we localize each actor precisely in space through its latitude and longitude. This allows us to analyze the R&D network at all geographic scales simultaneously. Our empirical results show that despite the high importance of the city level, transnational R&D collaborations at large distances are much more frequent than expected from similar networks. This provides evidence for the ambiguity of distance in economic cooperation which is also suggested by the existing literature. In addition we test whether the hypothesis of local buzz and global pipelines applies to the observed R&D network by calculating well-defined metrics from network theory.

  15. 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

  16. 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

  17. Heterogeneous Force Chains in Cellularized Biopolymer Network

    E-Print Network [OSTI]

    Long Liang; Christopher Jones; Bo Sun; Yang Jiao

    2015-08-18

    Biopolymer Networks play an important role in coordinating and regulating collective cellular dynamics via a number of signaling pathways. Here, we investigate the mechanical response of a model biopolymer network due to the active contraction of embedded cells. Specifically, a graph (bond-node) model derived from confocal microscopy data is used to represent the network microstructure, and cell contraction is modeled by applying correlated displacements at specific nodes, representing the focal adhesion sites. A force-based stochastic relaxation method is employed to obtain force-balanced network under cell contraction. We find that the majority of the forces are carried by a small number of heterogeneous force chains emitted from the contracting cells. The force chains consist of fiber segments that either possess a high degree of alignment before cell contraction or are aligned due to the reorientation induced by cell contraction. Large fluctuations of the forces along different force chains are observed. Importantly, the decay of the forces along the force chains is significantly slower than the decay of radially averaged forces in the system. These results suggest that the fibrous nature of biopolymer network structure can support long-range force transmission and thus, long-range mechanical signaling between cells.

  18. 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.

  19. 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.

  20. 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

  1. 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

  2. The paradox of controlling complex networks: control inputs versus energy requirement

    E-Print Network [OSTI]

    Chen, Yu-Zhong; Wang, Wenxu; Lai, Ying-Cheng

    2015-01-01

    In this paper, we investigate the linear controllability framework for complex networks from a physical point of view. There are three main results. (1) If one applies control signals as determined from the structural controllability theory, there is a high probability that the control energy will diverge. Especially, if a network is deemed controllable using a single driving signal, then most likely the energy will diverge. (2) The energy required for control exhibits a power-law scaling behavior. (3) Applying additional control signals at proper nodes in the network can reduce and optimize the energy cost. We identify the fundamental structures embedded in the network, the longest control chains, which determine the control energy and give rise to the power-scaling behavior. (To our knowledge, this was not reported in any previous work on control of complex networks.) In addition, the issue of control precision is addressed. These results are supported by extensive simulations from model and real networks, ...

  3. Community Cellular Networks

    E-Print Network [OSTI]

    Heimerl, Kurtis

    2013-01-01

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

  4. 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

  5. Building America Expert Meeting: Recommendations for Applying...

    Energy Savers [EERE]

    Building America Expert Meeting: Recommendations for Applying Water Heaters in Combination Space and Domestic Water Heating Systems Building America Expert Meeting: Recommendations...

  6. Alumni & Industry Magazine Chemical Engineering & Applied Chemistry

    E-Print Network [OSTI]

    Prodiæ, Aleksandar

    grease, waste animal fats, recycled veg- etable oils and agricultural seed oils into biodiesel. BioxAlumni & Industry Magazine Chemical Engineering & Applied Chemistry University of Toronto Volume 10

  7. Modeling International Relationships in Applied General Equilibrium...

    Open Energy Info (EERE)

    in Applied General Equilibrium (MIRAGE) AgencyCompany Organization: International Food Policy Research Institute, Centre d'Etudes Prospectives et d'Informations...

  8. Environmental Impact and Sustainability Applied General Equilibrium...

    Open Energy Info (EERE)

    Model (ENVISAGE) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Environmental Impact and Sustainability Applied General Equilibrium Model (ENVISAGE) Agency...

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

    E-Print Network [OSTI]

    Schoenebeck, Grant

    2013-01-01

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

  10. IEEE Wireless Communications February 2014 331536-1284/14/$25.00 2014 IEEE MOBILE SOCIAL NETWORKS

    E-Print Network [OSTI]

    Shen, Xuemin "Sherman"

    - sive and omnipotent communication platform, mobile social networking (MSN), helping us stay connected, localized, and up-to-date. Autonomous mobile applications can also be applied to facilitate car pool [3

  11. Data driven process monitoring based on neural networks and classification trees 

    E-Print Network [OSTI]

    Zhou, Yifeng

    2005-11-01

    of this dissertation is to develop process monitoring schemes that can be applied to complex process systems. Neural networks have been a popular tool for modeling and pattern classification for monitoring of process systems. However, due to the prohibitive...

  12. High Level Optimization Model for the Retrofit Planning of Process Networks

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    a method for the retrofit of mass exchange networks using the pinch technology that was developed for HENs method, and Briones and Kokossis5,6 who applied a mathematical programming and pinch analysis

  13. Integrating large-scale functional genomics data to dissect metabolic networks for hydrogen production

    SciTech Connect (OSTI)

    Harwood, Caroline S

    2012-12-17

    The goal of this project is to identify gene networks that are critical for efficient biohydrogen production by leveraging variation in gene content and gene expression in independently isolated Rhodopseudomonas palustris strains. Coexpression methods were applied to large data sets that we have collected to define probabilistic causal gene networks. To our knowledge this a first systems level approach that takes advantage of strain-to strain variability to computationally define networks critical for a particular bacterial phenotypic trait.

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

    E-Print Network [OSTI]

    Li, Zongpeng

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

  15. Introduction to Model-based Reliability Evaluation of Wireless Sensor Networks

    E-Print Network [OSTI]

    Breu, Ruth

    Introduction to Model-based Reliability Evaluation of Wireless Sensor Networks C. J¨aggle J: A high level of reliability is a significant requirement for using wireless sensor networks in industrial environments. Model-based evaluation is usually applied in conventional systems to estimate the reliability

  16. GAS ANALYSIS SYSTEM COMPOSED OF A SOLID-STATE SENSOR ARRAY AND HYBRID NEURAL NETWORK

    E-Print Network [OSTI]

    Osowski, Stanislaw

    1 GAS ANALYSIS SYSTEM COMPOSED OF A SOLID-STATE SENSOR ARRAY AND HYBRID NEURAL NETWORK STRUCTURE of the solid state sensor array used for the gas analysis. The applied neural network is composed of two parts of the gas components. The obtained results have shown that the array of partially selective sensors

  17. A Censoring Strategy for Decentralized Estimation in Energy-Constrained Adaptive Diffusion Networks

    E-Print Network [OSTI]

    Leus, Geert

    A Censoring Strategy for Decentralized Estimation in Energy-Constrained Adaptive Diffusion Networks.j.t.leus}@tudelft.nl Abstract--This paper presents a censoring strategy for dis- tributed estimation over adaptive networks in scenarios where energy resources are limited. Sensors apply selective communi- cation policies in order

  18. Towards Test-Driven Software Defined Networking David Lebrun, Stefano Vissicchio, Olivier Bonaventure

    E-Print Network [OSTI]

    Bonaventure, Olivier

    viability of our approach. I. INTRODUCTION Despite the criticality of computer networks, the tools used with solid and effective methodologies like those defined by software engineers to develop mission critical of formalized requirements. The network testing activ- ity is prescribed before applying any change

  19. Self-Powered Wireless Nano-scale Sensor Networks within Chemical Reactors

    E-Print Network [OSTI]

    New South Wales, University of

    Self-Powered Wireless Nano-scale Sensor Networks within Chemical Reactors Eisa Zarepour1 Mahbub, Australia #12;Abstract Because of their small size and unique nanomaterial properties, nano-scale sen- sor networks (NSNs) can be applied in many chemical applications to monitor and control the chemical process

  20. International Joint Conference on Neural Networks Deductive and Inductive Learning in a

    E-Print Network [OSTI]

    Faisal, Kanaan Abed

    of connectionist, adaptive (neural) networks. A backpropagation neural network simulator, which features a logistic function that computes values in the range of -1 to +1, is being used in this work. The ultimate goal A deterministic parse applies rules to a stack and buffer of constituents to generate and perform actions on those

  1. Energy Efficiency of Symmetric Key Cryptographic Algorithms in Wireless Sensor Networks

    E-Print Network [OSTI]

    Heys, Howard

    Energy Efficiency of Symmetric Key Cryptographic Algorithms in Wireless Sensor Networks Xueying-- In this paper, we examine the energy efficiency of symmetric key cryptographic algorithms applied in wireless energy efficiency with a level of security suitable for wireless sensor networks. Keywords - wireless

  2. On the Efficiency of a Game Theoretic Approach to Sparse Regenerator Placement in WDM Networks

    E-Print Network [OSTI]

    Gatti, Nicola

    -cooperative game and solve it applying the best response dynamic concept. Finally, we evaluate the performance and energy consuming because every wavelength needs Optical-Electronic-Optical (OEO) conversions at all-project ("Building the Future Optical Network in Europe"), a Network of Excellence funded by the European Commission

  3. Survivability Considerations in Wireless Networks

    E-Print Network [OSTI]

    Ning, Jianxia

    2012-01-01

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

  4. Enhancing network robustness via shielding

    E-Print Network [OSTI]

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

    2014-01-01

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

  5. UNL Core for Applied Genomics and Ecology

    E-Print Network [OSTI]

    Farritor, Shane

    UNL Core for Applied Genomics and Ecology Bioinformatics training Roche 454 GS-FLX Registration, Microbiomes, Variant Analysis, Whole Genomes, Transcriptomes Data Analysis and Statistics CAGE database and employer. University of Nebraska-Lincoln*Core for Applied Genomics and Ecology* 323 Filley Hall *Lincoln

  6. FACULTY OF APPLIED SCIENCE ENGINEERING NEWS

    E-Print Network [OSTI]

    Pulfrey, David L.

    in the race. After their two competition cars were totalled, they've now regroupFACULTY OF APPLIED SCIENCE ENGINEERING NEWS FALL 2014 / WINTER 2015 PROTECTING THE ENVIRONMENT -- USING NATURAL ENGINEERING SURVIVE AND THRIVE APPLIED RESEARCH FACILITY -- STAR -- TAKES OFF

  7. Disease management Applying Stylet Oil, Sulforix or

    E-Print Network [OSTI]

    Isaacs, Rufus

    1 Disease management Applying Stylet Oil, Sulforix or Armicarb now to vines with powdery mildew will reduce disease pressure next year. Do not apply Sulforix to sulfur-sensitive grapes. Bunch rots are best controlled by leaf pulling, but application of Fungastop may help reduce sour rot. Insect management Low

  8. Nuclear Facilities and Applied Technologies at Sandia

    SciTech Connect (OSTI)

    Wheeler, Dave; Kaiser, Krista; Martin, Lonnie; Hanson, Don; Harms, Gary; Quirk, Tom

    2014-11-28

    The Nuclear Facilities and Applied Technologies organization at Sandia National Laboratories’ Technical Area Five (TA-V) is the leader in advancing nuclear technologies through applied radiation science and unique nuclear environments. This video describes the organization’s capabilities, facilities, and culture.

  9. Deep Lambertian Networks Introduction

    E-Print Network [OSTI]

    Toronto, University of

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

  10. Miniaturized wireless sensor network

    E-Print Network [OSTI]

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

    2010-01-01

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

  11. Water Network Design by MINLP

    E-Print Network [OSTI]

    2008-02-12

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

  12. Software Defined Networking (SDN) Project

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

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

  13. Siphons in Chemical Reaction Networks

    E-Print Network [OSTI]

    Shiu, Anne; Sturmfels, Bernd

    2010-01-01

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

  14. The Future of Network Neutrality

    E-Print Network [OSTI]

    Guttentag, Mikhail

    2009-01-01

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

  15. Wireless Networking | ornl.gov

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

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

  16. Fault localization in backbone networks

    E-Print Network [OSTI]

    Kompella, Ramana Rao

    2007-01-01

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

  17. Collective network routing

    DOE Patents [OSTI]

    Hoenicke, Dirk

    2014-12-02

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

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

    SciTech Connect (OSTI)

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

    1992-12-31

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

  19. Applied Intelligence The International Journal of Artificial

    E-Print Network [OSTI]

    Potter, Don

    including pro- tecting crops from damage, avoiding heat stress on animals and humans, and in planning related to energy management. Current web-based artificial neural network (ANN) mod- els on the Automated, will cause the wa- ter vapor to condense into liquid water. The dew point is the saturation temperature

  20. Use of model calibration to achieve high accuracy in analysis of computer networks

    DOE Patents [OSTI]

    Frogner, Bjorn; Guarro, Sergio; Scharf, Guy

    2004-05-11

    A system and method are provided for creating a network performance prediction model, and calibrating the prediction model, through application of network load statistical analyses. The method includes characterizing the measured load on the network, which may include background load data obtained over time, and may further include directed load data representative of a transaction-level event. Probabilistic representations of load data are derived to characterize the statistical persistence of the network performance variability and to determine delays throughout the network. The probabilistic representations are applied to the network performance prediction model to adapt the model for accurate prediction of network performance. Certain embodiments of the method and system may be used for analysis of the performance of a distributed application characterized as data packet streams.

  1. A Microfluidic Pore Network Approach to Investigate Water Transport in Fuel Cell Porous Transport Layers

    E-Print Network [OSTI]

    Bazylak, A; Markicevic, B; Sinton, D; Djilali, N

    2008-01-01

    Pore network modelling has traditionally been used to study displacement processes in idealized porous media related to geological flows, with applications ranging from groundwater hydrology to enhanced oil recovery. Very recently, pore network modelling has been applied to model the gas diffusion layer (GDL) of a polymer electrolyte membrane (PEM) fuel cell. Discrete pore network models have the potential to elucidate transport phenomena in the GDL with high computational efficiency, in contrast to continuum or molecular dynamics modelling that require extensive computational resources. However, the challenge in studying the GDL with pore network modelling lies in defining the network parameters that accurately describe the porous media as well as the conditions of fluid invasion that represent realistic transport processes. In this work, we discuss the first stage of developing and validating a GDL-representative pore network model. We begin with a two-dimensional pore network model with a single mobile pha...

  2. Wireless connection instructions -Mac This document outlines the procedure for setting up Apple OS X to use the College wireless network. It assumes that you

    E-Print Network [OSTI]

    Goldschmidt, Christina

    X to use the College wireless network. It assumes that you have already connected your computer connection pack from the Computer Office before proceeding. Connect your computer to the wireless network your wireless connection Click on the Apply for access to Murray Edwards College Network link Please

  3. Comparative analysis of collaboration networks

    SciTech Connect (OSTI)

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

    2011-03-14

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

  4. THE UK'S INNOVATION NETWORK KNOWLEDGE TRANSFER NETWORK

    E-Print Network [OSTI]

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

  5. Neural Network Approach to Locating Cryptography in Object Code

    SciTech Connect (OSTI)

    Jason L. Wright; Milos Manic

    2009-09-01

    Finding and identifying cryptography is a growing concern in the malware analysis community. In this paper, artificial neural networks are used to classify functional blocks from a disassembled program as being either cryptography related or not. The resulting system, referred to as NNLC (Neural Net for Locating Cryptography) is presented and results of applying this system to various libraries are described.

  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. Trafficking Coordinate Description of Intracellular Transport Control of Signaling Networks

    E-Print Network [OSTI]

    Saiz, Leonor

    to precisely describe these processes and we apply it explicitly to the TGF-b signal transduction network intracellular signals. These receptors are not just passive signal transducers but are able to process the signals before passing them downstream. In organisms like bacteria, processing is typically done

  8. Network Level Footprints of Facebook Applications Atif Nazir1,*

    E-Print Network [OSTI]

    Greenberg, Albert

    Network Level Footprints of Facebook Applications Atif Nazir1,* , Saqib Raza1,* , Dhruv Gupta1 of the most popular OSNs. With over 81,000 third-party applications on Facebook alone, their impact is hard to predict and even harder to study. We have developed and launched a number of Facebook appli- cations, all

  9. Network Level Footprints of Facebook Applications Atif Nazir1,*

    E-Print Network [OSTI]

    Chuah, Chen-Nee

    Network Level Footprints of Facebook Applications Atif Nazir1,* , Saqib Raza1,* , Dhruv Gupta1 popular OSNs. With over 81,000 third-party applications on Facebook alone, their impact is hard to predict and even harder to study. We have developed and launched a number of Facebook appli- cations, all of which

  10. DIAGNOSING VULNERABILITY, EMERGENT PHENOMENA, and VOLATILITY in MANMADE NETWORKS

    E-Print Network [OSTI]

    Arrowsmith, David

    properties 4. Additive effect to grid #12;16 Wind power contributions - MW wind energy as a % of total energy market data (used in WP2) #12;13 Time series analysis #12;14 Multifractal analysis #12;15 Wind energy; concentrating primarily on different energy supplies aim: to assemble network information, develop and apply

  11. A stochastic learning algorithm for layered neural networks

    SciTech Connect (OSTI)

    Bartlett, E.B. (Iowa State Univ. of Science and Technology, Ames, IA (United States). Dept. of Mechanical Engineering); Uhrig, R.E. (Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering)

    1992-01-01

    The random optimization method typically uses a Gaussian probability density function (PDF) to generate a random search vector. In this paper the random search technique is applied to the neural network training problem and is modified to dynamically seek out the optimal probability density function (OPDF) from which to select the search vector. The dynamic OPDF search process, combined with an auto-adaptive stratified sampling technique and a dynamic node architecture (DNA) learning scheme, completes the modifications of the basic method. The DNA technique determines the appropriate number of hidden nodes needed for a given training problem. By using DNA, researchers do not have to set the neural network architectures before training is initiated. The approach is applied to networks of generalized, fully interconnected, continuous perceptions. Computer simulation results are given.

  12. A stochastic learning algorithm for layered neural networks

    SciTech Connect (OSTI)

    Bartlett, E.B. [Iowa State Univ. of Science and Technology, Ames, IA (United States). Dept. of Mechanical Engineering] [Iowa State Univ. of Science and Technology, Ames, IA (United States). Dept. of Mechanical Engineering; Uhrig, R.E. [Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering] [Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering

    1992-12-31

    The random optimization method typically uses a Gaussian probability density function (PDF) to generate a random search vector. In this paper the random search technique is applied to the neural network training problem and is modified to dynamically seek out the optimal probability density function (OPDF) from which to select the search vector. The dynamic OPDF search process, combined with an auto-adaptive stratified sampling technique and a dynamic node architecture (DNA) learning scheme, completes the modifications of the basic method. The DNA technique determines the appropriate number of hidden nodes needed for a given training problem. By using DNA, researchers do not have to set the neural network architectures before training is initiated. The approach is applied to networks of generalized, fully interconnected, continuous perceptions. Computer simulation results are given.

  13. UCIT Data Network Standards Campus Wireless Network Standard

    E-Print Network [OSTI]

    Habib, Ayman

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

  14. Deep Belief Networks The New Generation of Neural Networks1

    E-Print Network [OSTI]

    Hernández Lobato, José Miguel

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

  15. Supervised Learning in Neural Networks without Feedback Networks

    E-Print Network [OSTI]

    Lin, Feng

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

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

    E-Print Network [OSTI]

    Manohar, Rajit

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

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

    E-Print Network [OSTI]

    Médard, Muriel

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

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

    E-Print Network [OSTI]

    Politècnica de Catalunya, Universitat

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

  19. 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

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

    E-Print Network [OSTI]

    White, Douglas R.

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

  1. 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.

  2. Network aware distributed applications

    SciTech Connect (OSTI)

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

    2001-02-04

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

  3. A quantum access network

    E-Print Network [OSTI]

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

    2014-09-02

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

  4. Roadmap: Applied Engineering Applied Engineering and Technology Management Bachelor of Science

    E-Print Network [OSTI]

    Sheridan, Scott

    Roadmap: Applied Engineering ­ Applied Engineering and Technology Management ­ Bachelor of Science­2013 Page 1 of 2 | Last Updated: 21-May-12/JS This roadmap is a recommended semester-by-semester plan TECH 43550 Computer-Aided Manufacturing 3 General Elective 6 #12;Roadmap: Applied Engineering

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

    E-Print Network [OSTI]

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

    2006-01-01

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

  6. apply to program Energy audit and

    E-Print Network [OSTI]

    , the country has the potential to improve the energy performance of one third of its building stock's demand for fossil fuel imports. Improving energy! SAV ING S! Homeowners apply to program Energy audit and retrofit plan Financing though grants

  7. 15.075 Applied Statistics, Spring 2003

    E-Print Network [OSTI]

    Newton, Elizabeth

    This course is an introduction to applied statistics and data analysis. Topics include collecting and exploring data, basic inference, simple and multiple linear regression, analysis of variance, nonparametric methods, and ...

  8. MSc Applied Mathematics Stochastic Operations Research

    E-Print Network [OSTI]

    Boucherie, Richard J.

    MSc Applied Mathematics Stochastic Operations Research Richard Boucherie #12;20150106Stochastic Operations Research #12;Stochastic Operations Research: Team http://www.utwente.nl/ewi/sor/staff/ 20150106Stochastic Operations Research #12;Operations Research: The World http

  9. Applying Ethical Principles to Information and Communication

    E-Print Network [OSTI]

    California at San Diego, University of

    Applying Ethical Principles to Information and Communication Technology Research A Companion Clayman, DHS Science & Technology · John Heidemann, University of California, ISI · Douglas Maughan, DHS Science & Technology · Jenny McNeill, SRI International · Peter Neumann, SRI International · Charlotte

  10. Fluid Bed Combustion Applied to Industrial Waste 

    E-Print Network [OSTI]

    Mullen, J. F.; Sneyd, R. J.

    1985-01-01

    Because of its unique ability to handle a wide variety of liquids and solids in an energy efficient and environmentally acceptable manner, fluid bed combustion is being increasingly applied to the utilization of waste materials and low grade fuels...

  11. A. La Rosa Lecture Notes APPLIED OPTICS

    E-Print Network [OSTI]

    light energy is transmitted from one point to another in an optical system. 2. Classical theoryA. La Rosa Lecture Notes APPLIED OPTICS ________________________________________________________________________ 11.1 Optics in different regimes The electromagnetic spectrum From: http

  12. Applied Fluid Mechanics I) Course goals

    E-Print Network [OSTI]

    Leu, Tzong-Shyng "Jeremy"

    design. #12;2 Textbook " Applied Fluid Mechanics" by Robert L. Mott, Sixth Edition in SI unit 1 Exam 30 Final Exam 30 (Total of 100) (30%)(&10%) () PDF lecture notes if any can be downloaded from

  13. Assessment of a Low Profi le Planar Antenna for a Wireless Sensor Network Monitoring the Local Water Distribution Network

    E-Print Network [OSTI]

    Herbert, Steven; Loh, Tian-Hong; Wassell, Ian

    2014-12-16

    ,” Wireless Sensor Systems, IET, vol. 2, no. 4, pp. 402– 408, December 2012. [3] A. Garcia, T. Tose, L. Ramalho, and D. Sicari, “Wireless sensor networks zigbee applied on sewage treatment station,” in Wireless Sensor Systems (WSS 2012), IET Conference on...

  14. 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.

  15. Thermal network reduction

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1983-01-01

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

  16. Thermal network reduction

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1983-06-01

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

  17. Mechanical Response of Cytoskeletal Networks

    E-Print Network [OSTI]

    Gardel, Margaret

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

  18. Network computing : limits and achievability

    E-Print Network [OSTI]

    Karamchandani, Nikhil

    2011-01-01

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

  19. CLIMATE NETWORKS The Azimuth Project

    E-Print Network [OSTI]

    Baez, John

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

  20. Neural Network Parameterizations of Electromagnetic Nucleon Form Factors

    E-Print Network [OSTI]

    Krzysztof M. Graczyk; Piotr Plonski; Robert Sulej

    2010-08-25

    The electromagnetic nucleon form-factors data are studied with artificial feed forward neural networks. As a result the unbiased model-independent form-factor parametrizations are evaluated together with uncertainties. The Bayesian approach for the neural networks is adapted for chi2 error-like function and applied to the data analysis. The sequence of the feed forward neural networks with one hidden layer of units is considered. The given neural network represents a particular form-factor parametrization. The so-called evidence (the measure of how much the data favor given statistical model) is computed with the Bayesian framework and it is used to determine the best form factor parametrization.

  1. New Technique for Proposing Network's Topology using GPS and GIS

    E-Print Network [OSTI]

    Ismaeel, Ayad Ghany

    2012-01-01

    The problem of proposed topology for network comes when using Prim's algorithm with default distance (unrealistic distances) between network's nodes and don't care about the lakes, high hills, buildings, etc. This problem will cause incorrect estimations for cost (budget) of requirements like the media (optic fibre) and the number or type of Access-points, regenerator, Optic Amplifier, etc. This paper proposed a new technique of implementing Prim's algorithm to obtain realistic topology using realistic distances between network's nodes via Global Positioning System GPS and Geographic Information Systems GIS packages. Applying the new technique on academic institutes network of Erbil city from view of media (optic fibre) shows that there is disability in cost (budget) of the media which is needed (nearly) 4 times if implement default Prim's algorithm (don't using GPS & GIS) base on unrealistic distances between the nodes.

  2. Resilience of natural gas networks during conflicts, crises and disruptions

    E-Print Network [OSTI]

    Carvalho, Rui; Bono, Flavio; Masera, Marcelo; Arrowsmith, David K; Helbing, Dirk

    2013-01-01

    Human conflict, geopolitical crises, terrorist attacks, and natural disasters can turn large parts of energy distribution networks offline. Europe's current gas supply network is largely dependent on deliveries from Russia and North Africa, creating vulnerabililties to social and political instabilities. During crises, less delivery may mean greater congestion, as the pipeline network is used in ways it has not been designed for. Given the importance of the security of natural gas supply, we develop a model to handle network congestion on various geographical scales. We offer a resilient response strategy to energy shortages and quantify its effectiveness for a variety of relevant scenarios. In essence, Europe's gas supply can be made robust even to major supply disruptions, if a fair distribution strategy is applied.

  3. Generalization of neuron network model with delay feedback

    E-Print Network [OSTI]

    Sanjeet Maisnam; R. K. Brojen Singh

    2015-07-16

    We present generalized delayed neural network (DNN) model with positive delay feedback and neuron history. The local stability analysis around trivial local equilibria of delayed neural networks has applied and determine the conditions for the existence of zero root. We develop few innovative delayed neural network models in different dimensions through transformation and extension of some existing models. We found that zero root can have multiplicity two under certain conditions. We further show how the characteristic equation can have zero root and its multiplicity is dependent on the conditions undertaken. Finally, we generalize the neural network of $N$ neurons through which we determine the general form of Jacobian of the linear form and corresponding characteristic equation of the system.

  4. Mesoscale Analyses of Fungal Networks

    E-Print Network [OSTI]

    Lee, Sang Hoon; Porter, Mason A

    2014-01-01

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

  5. Precision Irrigators Network 

    E-Print Network [OSTI]

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

    2007-01-01

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

  6. Guest Editorial Overlay networks

    E-Print Network [OSTI]

    Touch, Joe

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

  7. 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

  8. Network medicine Tony Pawsona

    E-Print Network [OSTI]

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

  9. Computer Systems Network Programming"

    E-Print Network [OSTI]

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

  10. 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

  11. Systematic wireless network coding

    E-Print Network [OSTI]

    Shrader, Brooke E.

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

  12. 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

  13. 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

  14. A Framework for Understanding and Applying Ethical Principles in Network and Security

    E-Print Network [OSTI]

    California at San Diego, University of

    and communications technology poses a variety of ethical challenges for researchers. In this paper, we present Introduction Innovations in Information and Communications Technology (ICT) have revolu- tionized how we buy of the enabling technologies themselves, and the ethical implications of the interaction between the two continues

  15. Classification of brain compartments and head injury lesions by neural networks applied to magnetic resonance images 

    E-Print Network [OSTI]

    Kischell, Eric Robert

    1993-01-01

    were obtained on a 0. 6 Tesla Technicare MRT50A machine. A double echo sequence with a repetition time (TR) of 3000 ms and echo times (TE) of 30 and 120 ms was used. An average of 20 coronal sec- tions, slice thickness of 7. 5 mm and separation of 1...

  16. Can Network Visualization and Analysis Accelerate Medical Discoveries? Theoretical, Applied, and Funding Perspectives

    E-Print Network [OSTI]

    Bhavnani, Suresh K.

    , and Funding Perspectives Suresh K. Bhavnani1,2,3 PhD, Kevin Bassler4 PhD, Indra Neil Sarkar5,6,7 PhD MLIS, Adi

  17. Apply: Building Energy Efficiency Frontiers and Innovation Technologie...

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

    Apply: Building Energy Efficiency Frontiers and Innovation Technologies (BENEFIT) - 2015 Funding Opportunity Announcement Apply: Building Energy Efficiency Frontiers and Innovation...

  18. Parameters affecting the resilience of scale-free networks to random failures.

    SciTech Connect (OSTI)

    Link, Hamilton E.; LaViolette, Randall A.; Lane, Terran (University of New Mexico, Albuquerque, NM); Saia, Jared (University of New Mexico, Albuquerque, NM)

    2005-09-01

    It is commonly believed that scale-free networks are robust to massive numbers of random node deletions. For example, Cohen et al. in (1) study scale-free networks including some which approximate the measured degree distribution of the Internet. Their results suggest that if each node in this network failed independently with probability 0.99, most of the remaining nodes would still be connected in a giant component. In this paper, we show that a large and important subclass of scale-free networks are not robust to massive numbers of random node deletions. In particular, we study scale-free networks which have minimum node degree of 1 and a power-law degree distribution beginning with nodes of degree 1 (power-law networks). We show that, in a power-law network approximating the Internet's reported distribution, when the probability of deletion of each node is 0.5 only about 25% of the surviving nodes in the network remain connected in a giant component, and the giant component does not persist beyond a critical failure rate of 0.9. The new result is partially due to improved analytical accommodation of the large number of degree-0 nodes that result after node deletions. Our results apply to power-law networks with a wide range of power-law exponents, including Internet-like networks. We give both analytical and empirical evidence that such networks are not generally robust to massive random node deletions.

  19. Adaptive Neural Networks for Automatic Negotiation

    SciTech Connect (OSTI)

    Sakas, D. P.; Vlachos, D. S.; Simos, T. E. [University of Peloponnese, 22100 Tripoli (Greece)

    2007-12-26

    The use of fuzzy logic and fuzzy neural networks has been found effective for the modelling of the uncertain relations between the parameters of a negotiation procedure. The problem with these configurations is that they are static, that is, any new knowledge from theory or experiment lead to the construction of entirely new models. To overcome this difficulty, we apply in this work, an adaptive neural topology to model the negotiation process. Finally a simple simulation is carried in order to test the new method.

  20. The application of complex network time series analysis in turbulent heated jets

    SciTech Connect (OSTI)

    Charakopoulos, A. K.; Karakasidis, T. E. Liakopoulos, A.; Papanicolaou, P. N.

    2014-06-15

    In the present study, we applied the methodology of the complex network-based time series analysis to experimental temperature time series from a vertical turbulent heated jet. More specifically, we approach the hydrodynamic problem of discriminating time series corresponding to various regions relative to the jet axis, i.e., time series corresponding to regions that are close to the jet axis from time series originating at regions with a different dynamical regime based on the constructed network properties. Applying the transformation phase space method (k nearest neighbors) and also the visibility algorithm, we transformed time series into networks and evaluated the topological properties of the networks such as degree distribution, average path length, diameter, modularity, and clustering coefficient. The results show that the complex network approach allows distinguishing, identifying, and exploring in detail various dynamical regions of the jet flow, and associate it to the corresponding physical behavior. In addition, in order to reject the hypothesis that the studied networks originate from a stochastic process, we generated random network and we compared their statistical properties with that originating from the experimental data. As far as the efficiency of the two methods for network construction is concerned, we conclude that both methodologies lead to network properties that present almost the same qualitative behavior and allow us to reveal the underlying system dynamics.

  1. Method of applying coatings to substrates

    DOE Patents [OSTI]

    Hendricks, Charles D. (Livermore, CA)

    1991-01-01

    A method for applying novel coatings to substrates is provided. The ends of multiplicity of rods of different materials are melted by focused beams of laser light. Individual electric fields are applied to each of the molten rod ends, thereby ejecting charged particles that include droplets, atomic clusters, molecules, and atoms. The charged particles are separately transported, by the accelerations provided by electric potentials produced by an electrode structure, to substrates where they combine and form the coatings. Layered and thickness graded coatings comprised of hithereto unavailable compositions, are provided.

  2. The Tenet Architecture for Tiered Sensor Networks

    E-Print Network [OSTI]

    2006-01-01

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

  3. Misbehavior in a Neural Network Model

    E-Print Network [OSTI]

    Burgos, José E

    2015-01-01

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

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

    E-Print Network [OSTI]

    Marquetti, Andre

    2015-01-01

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

  5. Detecting Network Vulnerabilities Through Graph Theoretical Methods

    E-Print Network [OSTI]

    2007-01-01

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

  6. Determining Adaptability Performance of Artificial Neural Network-Based Thermal Control Logics for Envelope Conditions in Residential Buildings

    E-Print Network [OSTI]

    Moon, Jin Woo; Chang, Jae D.; Kim, Sooyoung

    2013-07-18

    This study examines the performance and adaptability of Artificial Neural Network (ANN)-based thermal control strategies for diverse thermal properties of building envelope conditions applied to residential buildings. The thermal performance using...

  7. Extracting morphological networks from individual grey matter MRI scans in healthy subjects and people at high risk for schizophrenia 

    E-Print Network [OSTI]

    Tijms, Betty Marije

    2012-06-25

    Recently graph theory has been successfully applied to magnetic resonance imaging data. However, it remains unclear as to what the nodes and edges in a network should represent. This problem is particularly difficult ...

  8. Financial Market Modeling with Quantum Neural Networks

    E-Print Network [OSTI]

    Gonçalves, Carlos Pedro

    2015-01-01

    Econophysics has developed as a research field that applies the formalism of Statistical Mechanics and Quantum Mechanics to address Economics and Finance problems. The branch of Econophysics that applies of Quantum Theory to Economics and Finance is called Quantum Econophysics. In Finance, Quantum Econophysics' contributions have ranged from option pricing to market dynamics modeling, behavioral finance and applications of Game Theory, integrating the empirical finding, from human decision analysis, that shows that nonlinear update rules in probabilities, leading to non-additive decision weights, can be computationally approached from quantum computation, with resulting quantum interference terms explaining the non-additive probabilities. The current work draws on these results to introduce new tools from Quantum Artificial Intelligence, namely Quantum Artificial Neural Networks as a way to build and simulate financial market models with adaptive selection of trading rules, leading to turbulence and excess ku...

  9. Applied Microearthquake Techniques for Geothermal Resource Development

    E-Print Network [OSTI]

    Foulger, G. R.

    . In recent years, interest in exploiting geothermal energy has increased greatly, accompanied by interest. The microearthquake techniques currently producing the most useful results for geothermal energy production, and whichApplied Microearthquake Techniques for Geothermal Resource Development Gillian R. Foulger1 & Bruce

  10. QUARTERLY OF APPLIED MATHEMATICS VOLUME , NUMBER 0

    E-Print Network [OSTI]

    Zhu, Song Chun

    reweighting the energy function. We construct ELMs in the model space for two classic statistical learning, two-step EM and Swendsen-Wang cuts, in the energy landscapes. 1. Introduction. In many statisticalQUARTERLY OF APPLIED MATHEMATICS VOLUME , NUMBER 0 XXXX XXXX, PAGES 000­000 MAPPING ENERGY

  11. Security Implications of Applying the Communications Assistance

    E-Print Network [OSTI]

    Landau, Susan

    of these is the recent FBI request to ap- ply the Communications Assistance for Law Enforcement Act (CALEA) to Vo with CALEA (without issuing specific regulations on what that would mean). The FBI has suggested that CALEA to innovate, while the latter is simply dangerous. The current FBI and FCC direction on CALEA applied to Vo

  12. Optical Tweezers Physics 464 Applied Optics,

    E-Print Network [OSTI]

    Optical Tweezers Physics 464 ­ Applied Optics, By Scott Cline #12;Project Topics · Brief history · Typical set-up · How they work · Common use #12;Discovery · Effects of optical scattering and gradient forces discovered by Arthur Ashkin 1970 · Method of creating an "optical trap" established in 1986

  13. gifted.msu.edu Apply online at

    E-Print Network [OSTI]

    curriculum for motivated, intelligent middle school and high school students. Our programs aim to enhancegifted.msu.edu Apply online at On the banks of the Red Cedar, There's a school that's known to all; Its specialty is winning, And those Spartans play good ball; Spartan teams are never beaten, All

  14. Institute for Critical Technology and Applied Science

    E-Print Network [OSTI]

    Crawford, T. Daniel

    and a Polymer Engineer with Michelin Americas Research and Development Corporation in Greenville, SC. He has hadInstitute for Critical Technology and Applied Science www.ictas.vt.edu NEW HORIZONS ICTAS SEMINAR) 3. CBET-Broadening Participation Research Initiation Grant in Engineering Program (BRIGE) 4. Science

  15. APPLIED SPECTROSCOPY 135A focal point

    E-Print Network [OSTI]

    Denver, University of

    measured as a ratio to the mea- sured emission of CO2 and calibrated by means of a certified cylinder 2190 E. ILIFF AVE. DENVER, COLORADO 80208 Spectroscopy Applied to On-Road Mobile Source Emissions INTRODUCTION N ot to be confused with emis- sion spectroscopy, the detec- tion of mobile source emis- sions

  16. Master of Science (MSc) Applied Geographical

    E-Print Network [OSTI]

    Molinari, Marc

    Master of Science (MSc) Applied Geographical Information Systems and Remote Sensing Student on remote sensing and geographical information systems/science (GIS) skills to ready students for practical Information Systems and Remote Sensing (AGISRS) MSc programme. The programme is designed to provide training

  17. Faculty of Engineering Bachelor of Applied Science

    E-Print Network [OSTI]

    Faculty of Engineering Bachelor of Applied Science in Engineering The demands on professional engineers around the world are increasing in terms of what they must address: our society must confront technical, societal and environmental issues. www.uwindsor.ca/engineering As an engineer, you will have

  18. Submitted to Applied Spectroscopy December 2006

    E-Print Network [OSTI]

    of the components. However, the blends exhibited greatly reduced PMMA backbone vibrational intensities, suggesting biomedical applications such as bone fillers or bone grafts. Of the two blend components, one is transientSubmitted to Applied Spectroscopy December 2006 Raman Characterization in Blends of Poly

  19. 166 Applied Rheology Volume 17 Issue 3

    E-Print Network [OSTI]

    Radin, Charles

    to the question: Is there a statistical mechanics of static sand piles? Granular media is occasionally the subject of statistical mechanics methods for static granu- lar media. The round table consisted of five panelists: Dr166 Applied Rheology Volume 17 · Issue 3 Conference Report II The 96th Statistical Mechanics

  20. Building on a Base: Applying Physics Education

    E-Print Network [OSTI]

    Colorado at Boulder, University of

    ...) #12;APS In recent years, physics education research has emerged as a topic of research within physics departments. ... The APS applauds and supports the acceptance in physics departments of research in physicsBuilding on a Base: Applying Physics Education Research to Physics Teaching S.J. Pollock CU Boulder