Sample records for visualization graph openei

  1. Visualization Graph | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraph Home Wzeng's picture Submitted by Wzeng(50)

  2. Methods of visualizing graphs

    DOE Patents [OSTI]

    Wong, Pak C. (Richland, WA); Mackey, Patrick S. (Kennewick, WA); Perrine, Kenneth A. (Richland, WA); Foote, Harlan P. (Richland, WA); Thomas, James J. (Richland, WA)

    2008-12-23T23:59:59.000Z

    Methods for visualizing a graph by automatically drawing elements of the graph as labels are disclosed. In one embodiment, the method comprises receiving node information and edge information from an input device and/or communication interface, constructing a graph layout based at least in part on that information, wherein the edges are automatically drawn as labels, and displaying the graph on a display device according to the graph layout. In some embodiments, the nodes are automatically drawn as labels instead of, or in addition to, the label-edges.

  3. Visualization | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraph Home Wzeng's picture Submitted by

  4. Visualizing OpenEI Data | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraph Home Wzeng's picture Submitted

  5. OpenEI Community - Visualization Graph

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil and GasOff thedrivingGiven Utility

  6. Managing Attack Graph Complexity Through Visual Hierarchical Aggregation

    E-Print Network [OSTI]

    Noel, Steven

    Managing Attack Graph Complexity Through Visual Hierarchical Aggregation Steven Noel Center a framework for managing network attack graph complexity through interactive visualization, which includes hierarchical aggregation of graph elements. Aggregation collapses non-overlapping subgraphs of the attack graph

  7. Visualize energy APIs with a new OpenEI browser | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraph Home Wzeng's picture Submitted byVisualize

  8. Graph/Network Visualization Data model: graph structures (relations,

    E-Print Network [OSTI]

    Fang, Shiaofen

    of physics #12;8 The Spring Model Using springs to represent node-node relations. Minimizing energy1 1 Graph/Network Visualization Data model: graph structures (relations, knowledge) and networks hierarchies #12;7 Sugiyama : Building Hierarchy Domain knowledge based. Designing heuristic, e.g. minimizing

  9. EvoGraphDice : Interactive Evolution for Visual Analytics

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    EvoGraphDice : Interactive Evolution for Visual Analytics Waldo Cancino, Nadia Boukhelifa, especially in frameworks like industrial design, decision making and visual analytics. Interactive Evolution visualization based on scatterplot matrices. EvoGraphDice interactively evolves com- pound additional dimensions

  10. Improving Attack Graph Visualization through Data Reduction and Attack Grouping

    E-Print Network [OSTI]

    Ou, Xinming "Simon"

    Improving Attack Graph Visualization through Data Reduction and Attack Grouping John Homer1 Laboratory, USA Abstract. Various tools exist to analyze enterprise network systems and to produce attack graphs detailing how attackers might penetrate into the system. These attack graphs, however, are often

  11. 3D Graph Visualization with the Oculus Rift Virtual Graph Reality

    E-Print Network [OSTI]

    Wismath, Stephen

    reality environment such as a CAVE, or · printed as a physical model with a 3D printer. Early studies3D Graph Visualization with the Oculus Rift Virtual Graph Reality Farshad Barahimi, Stephen Wismath regarding three- dimensional (3D) representations of graphs. However, the actual usefulness of such 3D

  12. Improving Attack Graph Visualization through Data Reduction and Attack Grouping

    SciTech Connect (OSTI)

    John Homer; Ashok Varikuti; Xinming Ou; Miles A. McQueen

    2008-09-01T23:59:59.000Z

    Various tools exist to analyze enterprise network systems and to produce attack graphs detailing how attackers might penetrate into the system. These attack graphs, however, are often complex and difficult to comprehend fully, and a human user may find it problematic to reach appropriate configuration decisions. This paper presents methodologies that can 1) automatically identify portions of an attack graph that do not help a user to understand the core security problems and so can be trimmed, and 2) automatically group similar attack steps as virtual nodes in a model of the network topology, to immediately increase the understandability of the data. We believe both methods are important steps toward improving visualization of attack graphs to make them more useful in configuration management for large enterprise networks. We implemented our methods using one of the existing attack-graph toolkits. Initial experimentation shows that the proposed approaches can 1) significantly reduce the complexity of attack graphs by trimming a large portion of the graph that is not needed for a user to understand the security problem, and 2) significantly increase the accessibility and understandability of the data presented in the attack graph by clearly showing, within a generated visualization of the network topology, the number and type of potential attacks to which each host is exposed.

  13. Interactive Visualization of Genealogical Graphs Michael J. McGuffin Ravin Balakrishnan

    E-Print Network [OSTI]

    McGuffin, Michael J.

    Interactive Visualization of Genealogical Graphs Michael J. McGuffin Ravin Balakrishnan Department of visualizing "family trees", or genealogi- cal graphs, in 2D, is considered. A graph theoretic analysis is given, which identifies why genealogical graphs can be difficult to draw. This motivates some novel

  14. NPDA Transition Graphs To understand NPDAs, it is useful to have a visual representation. This

    E-Print Network [OSTI]

    Bylander, Tom

    NPDA Transition Graphs To understand NPDAs, it is useful to have a visual representation. This document introduces NPDA transition graphs. This type of graph extends the notation for DFA/NFA transition Edition, Addison-Wesley, 2001. In a DFA/NFA transition graph, there is an edge from vertex qi to vertex qj

  15. Between automation and exploration: SAS graphing techniques for visualization of survey data

    E-Print Network [OSTI]

    Yu, Alex

    Between automation and exploration: SAS graphing techniques for visualization of survey data Chong of survey data. There is always a tension between automation and exploration. Automation is a common to automate the graphing processes via SAS/Macros and SAS/Graph. However, hidden patterns of the data may

  16. Organization of cortical areas in central and peripheral visual fields as revealed by graph theory analysis

    E-Print Network [OSTI]

    Jouve, Bertrand

    1 Organization of cortical areas in central and peripheral visual fields as revealed by graph theory analysis Kenneth Knoblauch, Bertrand Jouve, Arnaud Falchier, Laetitia Cirilli and Henry Kennedy patterns of connections between visual areas so as to determine the prin­ ciples of cortical organization

  17. A framework for graph-based synthesis, analysis, and visualization of HPC cluster job data.

    SciTech Connect (OSTI)

    Mayo, Jackson R.; Kegelmeyer, W. Philip, Jr.; Wong, Matthew H.; Pebay, Philippe Pierre; Gentile, Ann C.; Thompson, David C.; Roe, Diana C.; De Sapio, Vincent; Brandt, James M.

    2010-08-01T23:59:59.000Z

    The monitoring and system analysis of high performance computing (HPC) clusters is of increasing importance to the HPC community. Analysis of HPC job data can be used to characterize system usage and diagnose and examine failure modes and their effects. This analysis is not straightforward, however, due to the complex relationships that exist between jobs. These relationships are based on a number of factors, including shared compute nodes between jobs, proximity of jobs in time, etc. Graph-based techniques represent an approach that is particularly well suited to this problem, and provide an effective technique for discovering important relationships in job queuing and execution data. The efficacy of these techniques is rooted in the use of a semantic graph as a knowledge representation tool. In a semantic graph job data, represented in a combination of numerical and textual forms, can be flexibly processed into edges, with corresponding weights, expressing relationships between jobs, nodes, users, and other relevant entities. This graph-based representation permits formal manipulation by a number of analysis algorithms. This report presents a methodology and software implementation that leverages semantic graph-based techniques for the system-level monitoring and analysis of HPC clusters based on job queuing and execution data. Ontology development and graph synthesis is discussed with respect to the domain of HPC job data. The framework developed automates the synthesis of graphs from a database of job information. It also provides a front end, enabling visualization of the synthesized graphs. Additionally, an analysis engine is incorporated that provides performance analysis, graph-based clustering, and failure prediction capabilities for HPC systems.

  18. OpenEI: Datasets in the OpenEnergyInfo Data Repository

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

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

  19. What do you wish OpenEI would work more on? | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraphWellton-MohawkWesternwish OpenEI would work

  20. What is your favorite OpenEI dataset? | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraphWellton-MohawkWesternwish OpenEI would

  1. OpenEI Community - Visualization

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil and GasOff thedrivingGiven Utility ID

  2. Introducing FRED, Enabling Unique Visualization and Manipulation...

    Open Energy Info (EERE)

    Sfederspiel's picture Submitted by Sfederspiel(5) Member 20 May, 2013 - 13:28 FRED Free Energy Data Map OpenEI Tool Visualization The U.S. Department of Energy, the Pacific...

  3. Welcome - OpenEI Datasets

    Open Energy Info (EERE)

    Search for a topic or click on a statistic to dive into our datasets. This is a featured section Placeholder OpenEI Datasets statistics 1k datasets 2 organizations 0 related items...

  4. Open Energy Information Systems (OpenEIS) | Department of Energy

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

    Open Energy Information Systems (OpenEIS) Open Energy Information Systems (OpenEIS) Lead Performer: Lawrence Berkeley National Laboratory - Berkeley, CA Project Partners: --...

  5. What is the Vehicle API? | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraphWellton-MohawkWesternwish OpenEI would workis

  6. Graph Based Visualization of Multimedia Objects and their Animation over the Internet

    E-Print Network [OSTI]

    Bansal, Arvind K.

    of animated cartoon movies, simulation and visualization of complex design objects such as combustion engine be used to represent the component level schematics of complex objects such as combustion engines [11

  7. Todd Park | OpenEI Community

    Open Energy Info (EERE)

    OpenEI Tim O'reilly Todd Park Check out theTim O'Reilly interview of Todd Park, US Chief Technology Officer, on his innovation agenda and his tips for creating a culture of...

  8. Separating out IOUs | OpenEI Community

    Open Energy Info (EERE)

    12:46 Points: 0 Not directly, but you can determine which utilities are IOUs from this dataset: http:en.openei.orgdoe-opendatadatasetu-s-electric-utility-companies-and-rates-l...

  9. version 1 | OpenEI Community

    Open Energy Info (EERE)

    generation web service for the utility rate database is finally here I encourage you to check out the V2 Utility Rates API at http:en.openei.orgservicesdocrestutilrates...

  10. OpenEI Community Central | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil and GasOff<div/0Agencycontent2050OpenEI

  11. OpenEI Community Central | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil andOpenEI Community Central Home > OpenEI

  12. OpenEI dashboard | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympia Green FuelsperCivicVersion 2OpenEI Town

  13. Groups | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJumpEnergy Information Groundwater Sampling

  14. Groups | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJumpEnergy Information Groundwater SamplingFeatured

  15. The Stata Journal, 2002, 3, pp 316-327 The Clustergram: A graph for visualizing hierarchical and

    E-Print Network [OSTI]

    Schonlau, Matt

    . This graph is useful in exploratory analysis for non-hierarchical clustering algorithms like k-means linkage methods is of order O(n2 ), whereas the most popular non-hierarchical cluster algorithm, k-means ([R] cluster kmeans, MacQueen, 1967), is only of the order O(kn) where k is the number of clusters

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

    Open Energy Info (EERE)

    Rest REST Documentation Explore our available RESTful Web services. Term extraction & content recommendation engine new Documentation Also see: OpenEI search United States Utility...

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

    Open Energy Info (EERE)

    content recommendations. Request URL Request Parameters Response Fields Examples JSON Output Format Errors Request URL GET http:en.openei.orgservicesapicontentassist...

  18. Tim O'reilly | OpenEI Community

    Open Energy Info (EERE)

    OpenEI Tim O'reilly Todd Park Check out theTim O'Reilly interview of Todd Park, US Chief Technology Officer, on his innovation agenda and his tips for creating a culture of...

  19. GARNET : a Graphical Attack graph and Reachability Network Evaluation Tool

    E-Print Network [OSTI]

    Williams, Leevar (Leevar Christoff)

    2008-01-01T23:59:59.000Z

    Attack graphs are valuable tools in the assessment of network security, revealing potential attack paths an adversary could use to gain control of network assets. Creating an effective visualization for attack graphs is ...

  20. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpen

  1. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Term Title Author

  2. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Term Title AuthorEA Type

  3. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Term Title AuthorEA

  4. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Term Title AuthorEAdata

  5. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Term Title

  6. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Term TitleRecovery Type

  7. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Term TitleRecovery

  8. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Term TitleRecovery1031

  9. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Term

  10. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Termflora and fauna Type

  11. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Termflora and fauna

  12. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Termflora and fauna Type

  13. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Termflora and fauna Type

  14. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Termflora and fauna

  15. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Termflora and faunaD.C.

  16. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Termflora and

  17. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Termflora andColorado

  18. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Termflora andColorado

  19. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Termflora andColorado

  20. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Termflora

  1. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type TermfloraFauna Type Term

  2. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type TermfloraFauna Type

  3. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type TermfloraFauna Type Type

  4. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type TermfloraFauna Type Type

  5. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type TermfloraFauna Type

  6. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type TermfloraFauna

  7. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type TermfloraFaunaDatabase

  8. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type

  9. Green Button Applications | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump to:Green Button

  10. Green Button Applications | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump to:Green

  11. Green Button Applications | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump to:Greenblog Type

  12. Green Button Applications | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump to:Greenblog

  13. Green Button Applications | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump to:GreenblogData

  14. Green Button Applications | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump

  15. Green Button Applications | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump Type Term Title

  16. Green Button Applications | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump Type Term

  17. Green Button Applications | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump Type Term Type

  18. Green Button Applications | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump Type Term

  19. Green Button Applications | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump Type Termutility

  20. Green Button Applications | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump Type Termutility

  1. Green Button Applications | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump Type

  2. Green Button Applications | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump Typeterm >

  3. Green Button Applications | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump Typeterm

  4. Green Button Applications | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump TypetermDOE Type

  5. Green Button FAQ | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump TypetermDOEGreen

  6. About OpenEI | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapersWindey Wind6:00-06:00About OpenEI Jump to: navigation, search

  7. WPA | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraph Home Wzeng'sVortex EnergyWDPWPA Home

  8. Wave | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraph HomeWaranaWater Power ForumGeothermalWave

  9. FRED | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 NoEurope BV Jump to:FASFMI-HD High-DefinitionVisualization Type

  10. FRED | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 NoEurope BV Jump to:FASFMI-HD High-DefinitionVisualization

  11. FRED | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 NoEurope BV Jump to:FASFMI-HD High-DefinitionVisualizationTool

  12. New Gapminder Visualizations Added! | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jump to:Neppel Wind PowerNevadaPennsylvania:CapitalTechNew

  13. Green Button Apps on OpenEI | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump TypetermDOE

  14. Groups in OpenEI Community Central | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJumpEnergy Information Groundwater Sampling AtFeatured

  15. OpenEI Town Hall Meeting #4 | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympia Green FuelsperCivicVersion 2OpenEI Town Hall

  16. OpenEI maintenance March 8-9, 2013 | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympia Green FuelsperCivicVersion 2OpenEI TownOpenEI

  17. OpenEI part of the Federal Digital Strategy | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympia Green FuelsperCivicVersion 2OpenEI

  18. Graph algorithms in the titan toolkit.

    SciTech Connect (OSTI)

    McLendon, William Clarence, III; Wylie, Brian Neil

    2009-10-01T23:59:59.000Z

    Graph algorithms are a key component in a wide variety of intelligence analysis activities. The Graph-Based Informatics for Non-Proliferation and Counter-Terrorism project addresses the critical need of making these graph algorithms accessible to Sandia analysts in a manner that is both intuitive and effective. Specifically we describe the design and implementation of an open source toolkit for doing graph analysis, informatics, and visualization that provides Sandia with novel analysis capability for non-proliferation and counter-terrorism.

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

    SciTech Connect (OSTI)

    Not Available

    2010-12-01T23:59:59.000Z

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

  20. What Can OpenEI Do For You?

    ScienceCinema (OSTI)

    None

    2013-05-29T23:59:59.000Z

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

  1. university-logo Graph Expansions

    E-Print Network [OSTI]

    St Andrews, University of

    university-logo Graph Expansions Green's Relations Closing Remarks Semigroup Graph Expansions January 2009 Rebecca Noonan Heale Semigroup Graph Expansions: #12;university-logo Graph Expansions Green;university-logo Graph Expansions Green's Relations Closing Remarks History Definitions Graph Expansions

  2. Geothermal Exploration Case Studies on OpenEI (Presentation)

    SciTech Connect (OSTI)

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

    2014-03-01T23:59:59.000Z

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

  3. Building statistical models by visualization

    E-Print Network [OSTI]

    Minka,Tom

    books · "The Elements of Graphing Data", William Cleveland, 2nd Ed. · "Visualizing Data", WilliamBuilding statistical models by visualization Tom Minka CMU Statistics Dept #12;Outline-scatterplot for unpaired data · Quantile of x = fraction of points

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

    Open Energy Info (EERE)

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

  5. Tim O'reilly interviews Todd Park | OpenEI Community

    Open Energy Info (EERE)

    OpenEI Tim O'reilly Todd Park Check out theTim O'Reilly interview of Todd Park, US Chief Technology Officer, on his innovation agenda and his tips for creating a culture of...

  6. Multiple Coordinated Views for Network Attack Graphs Steven Noel Michael Jacobs Pramod Kalapa Sushil Jajodia

    E-Print Network [OSTI]

    Noel, Steven

    Multiple Coordinated Views for Network Attack Graphs Steven Noel Michael Jacobs Pramod Kalapa graph-based representations have been developed for modeling combinations of low-level network attacks, relatively little attention has been paid to effective techniques for visualizing such attack graphs

  7. Probabilistic regular graphs

    E-Print Network [OSTI]

    Bertrand, Nathalie; 10.4204/EPTCS.39.6

    2010-01-01T23:59:59.000Z

    Deterministic graph grammars generate regular graphs, that form a structural extension of configuration graphs of pushdown systems. In this paper, we study a probabilistic extension of regular graphs obtained by labelling the terminal arcs of the graph grammars by probabilities. Stochastic properties of these graphs are expressed using PCTL, a probabilistic extension of computation tree logic. We present here an algorithm to perform approximate verification of PCTL formulae. Moreover, we prove that the exact model-checking problem for PCTL on probabilistic regular graphs is undecidable, unless restricting to qualitative properties. Our results generalise those of EKM06, on probabilistic pushdown automata, using similar methods combined with graph grammars techniques.

  8. Convex Graph Invariants

    E-Print Network [OSTI]

    2010-12-02T23:59:59.000Z

    Dec 2, 2010 ... Massachusetts Institute of Technology ... testing between graph families, and the generation of graphs with certain desired structural properties.

  9. Geothermal CSC Data Tables Template | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site:

  10. Geothermal CSC Exploration Activities Template | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site:Exploration Activities

  11. Geothermal CSC Narratives Template | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site:Exploration

  12. Geothermal CSC Reference List | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site:ExplorationReference List

  13. Global Biomass Power Generation Market | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd toWell2008) |GigaCrete IncIGlenrock III

  14. Global Coal Fired Power Generation Market | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd toWell2008) |GigaCrete IncIGlenrockGCEH

  15. Global Dicyandiamide Industry 2015 Market Research Report | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd toWell2008) |GigaCrete

  16. Global Dicyandiamide Industry 2015 Market Research Report | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd toWell2008) |GigaCreteCommunity Global

  17. Global Fuel Cells Market | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd toWell2008)InformationGlobal Fuel Cells

  18. Global Offshore Lubricants Market | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAddInformation Livestock Production andGlobal

  19. Global Power Rental Market | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAddInformation LivestockCommunityGlobal

  20. Hawai'i Meeting #2 | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJumpEnergyStrategy |Hatchet Ridge Wind Farm JumpHavoco1 -2

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision|LLC Place: Ketchum,SPARQL SPARQL OpenEI's SPARQL

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision|LLC Place: Ketchum,SPARQL SPARQL OpenEI's SPARQLAsk

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision|LLC Place: Ketchum,SPARQL SPARQL OpenEI's SPARQLAsk

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision|LLC Place: Ketchum,SPARQL SPARQL OpenEI's

  5. Washington DC | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraph HomeWarana Group of CooperativesDC Home

  6. Water Power Forum | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraph HomeWaranaWater Power Forum - Q & A

  7. Water Power Forum | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraph HomeWaranaWater Power Forum - Q & Aterm

  8. Water Power Forum | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraph HomeWaranaWater Power Forum - Q &

  9. White House | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraphWellton-MohawkWesternwishWhirlpoolWhiteHouse

  10. Must all charting and graphing code be written in javascript? | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer PlantMunhall, Pennsylvania: Energy Resources Jump to:Muskingum County, Ohio:Community

  11. Hyperbolic Graph Generator

    E-Print Network [OSTI]

    Aldecoa, Rodrigo; Krioukov, Dmitri

    2015-01-01T23:59:59.000Z

    Networks representing many complex systems in nature and society share some common structural properties like heterogeneous degree distributions and strong clustering. Recent research on network geometry has shown that those real networks can be adequately modeled as random geometric graphs in hyperbolic spaces. In this paper, we present a computer program to generate such graphs. Besides real-world-like networks, the program can generate random graphs from other well-known graph ensembles, such as the soft configuration model, random geometric graphs on a circle, or Erd\\H{o}s-R\\'enyi random graphs. The simulations show a good match between the expected values of different network structural properties and the corresponding empirical values measured in generated graphs, confirming the accurate behavior of the program.

  12. Spectral characterizations of sun graphs and broken sun graphs

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Spectral characterizations of sun graphs and broken sun graphs Romain Boulet 10 Dec 2009 Abstract- cyclic graphs. An odd (resp. even) sun is a graph obtained by appending a pendant vertex to each vertex of an odd (resp. even) cycle. A broken sun is a graph obtained by deleting pendant vertices of a sun

  13. Extending graph homomorphism and simulation for real life graph matching 

    E-Print Network [OSTI]

    Wu, Yinghui

    2011-06-30T23:59:59.000Z

    Among the vital problems in a variety of emerging applications is the graph matching problem, which is to determine whether two graphs are similar, and if so, find all the valid matches in one graph for the other, based ...

  14. Graph Generator Survey

    SciTech Connect (OSTI)

    Lothian, Josh [ORNL; Powers, Sarah S [ORNL; Sullivan, Blair D [ORNL; Baker, Matthew B [ORNL; Schrock, Jonathan [ORNL; Poole, Stephen W [ORNL

    2013-12-01T23:59:59.000Z

    The benchmarking effort within the Extreme Scale Systems Center at Oak Ridge National Laboratory seeks to provide High Performance Computing benchmarks and test suites of interest to the DoD sponsor. The work described in this report is a part of the effort focusing on graph generation. A previously developed benchmark, SystemBurn, allowed the emulation of dierent application behavior profiles within a single framework. To complement this effort, similar capabilities are desired for graph-centric problems. This report examines existing synthetic graph generator implementations in preparation for further study on the properties of their generated synthetic graphs.

  15. Graph concatenation for quantum codes

    E-Print Network [OSTI]

    Beigi, Salman

    Graphs are closely related to quantum error-correcting codes: every stabilizer code is locally equivalent to a graph code and every codeword stabilized code can be described by a graph and a classical code. For the ...

  16. Vacuum Energy in Quantum Graphs

    E-Print Network [OSTI]

    Wilson, Justin

    2007-07-14T23:59:59.000Z

    We calculate the vacuum energy in quantum graphs. Vacuum energy arose in quantum physics but has an independent mathematical interest as a functional carrying information about the eigenvalue spectrum of a system. A quantum graph is a metric graph...

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

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

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

  18. Geothermal NEPA Database on OpenEI (Poster)

    SciTech Connect (OSTI)

    Young, K. R.; Levine, A.

    2014-09-01T23:59:59.000Z

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

  19. Visual Matrix Clustering of Social Networks

    SciTech Connect (OSTI)

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

    2013-07-01T23:59:59.000Z

    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.

  20. Evaluation of Multimodal Graphs for Blind People , STEPHEN BREWSTER

    E-Print Network [OSTI]

    Williamson, John

    sense on people's fingers. Tactile diagrams exist in many forms and they mainly differEvaluation of Multimodal Graphs for Blind People WAI YU 1 , STEPHEN BREWSTER 2 1 Virtual visualisation system and its evaluations. This system is designed to improve blind and visually impaired people

  1. A Graph Bottleneck Inequality

    E-Print Network [OSTI]

    Chebotarev, Pavel

    2008-01-01T23:59:59.000Z

    For a weighted multidigraph, let $f_{ij}$ be the total weight of spanning converging forests that have vertex $i$ in a tree converging to $j$. We prove that $f_{ij}f_{jk}=f_{ik}f_{jj}$ if and only if every directed path from $i$ to $k$ contains $j$ (a graph bottleneck equality). Otherwise, $f_{ij}f_{jk}inequality). In a companion paper, this inequality provides the foundation for the construction of a new family of graph distances by ensuring the fulfillment of the triangle inequality. This stems from the fact that the graph bottleneck inequality is a multiplicative analogue of the triangle inequality for proximities.

  2. Efficiently Controllable Graphs

    E-Print Network [OSTI]

    Can Gokler; Kevin Thompson; Peter Shor; Seth Lloyd

    2015-03-18T23:59:59.000Z

    We show that universal quantum computation can be performed efficiently on quantum networks while the fraction of controlled subsystems vanishes as the network grows larger. We provide examples of quantum spin network families admitting polynomial quantum gate complexity with a vanishing fraction of controlled spins. We define a new family of graphs, the efficiently controllable family, which admits efficient computation with vanishing fraction of controls. We explore generalizations to percolation clusters, fractals and random graphs. We show that the classical computational complexity of estimating the ground state of Hamiltonians described by controllable graphs is polynomial in the number of subsystems/qubits.

  3. Graphs associated with semigroups

    E-Print Network [OSTI]

    Baber, Stephen Asa

    1976-01-01T23:59:59.000Z

    to the graph of this system as well. We first consider the question of when G(g ) is a com- 3 19 piete graph. The more general question of connectedness will be considered later' In order to state the next few results we need a definitions A minimal right... tM2. In [2], Clifford and Preston show that any two idempotent elements in an inverse semigroup commute. Thus, complete graph. ele2=e2el e MI()M2. As above, G(4 ) is a In order to show that the four conditions in corollary 4. 3...

  4. Geometry of graph varieties

    E-Print Network [OSTI]

    Martin, Jeremy L.

    2003-01-01T23:59:59.000Z

    (G)isasetofedges, or unordered pairs of distinct verticesfv;wg.Wefrequently abbreviatefv;wgby vw when no confusion can arise (for instance, when the vertices are one-digit positive integers). The vertices v;w are called the endpoints of the edge vw.Asubgraph of G is a graph G 0... =(V 0 ;E 0 )withV 0 V and E 0 E.We de ne K(V 0 )=fvw j v;w2V 0 ;v6= wg and E(V 0 )=E\\K(V 0 ): The complete graph on V is the graph (V;K(V)). We write K n for the complete graph onf1;:::;ng.ForE 0 E and v2V,thevalence of v with respect to E 0 is val...

  5. Querying graphs with data 

    E-Print Network [OSTI]

    Vrgoc, Domagoj

    2014-06-27T23:59:59.000Z

    Graph data is becoming more and more pervasive. Indeed, services such as Social Networks or the Semantic Web can no longer rely on the traditional relational model, as its structure is somewhat too rigid for the applications ...

  6. Graph similarity and matching

    E-Print Network [OSTI]

    Zager, Laura (Laura A.)

    2005-01-01T23:59:59.000Z

    Measures of graph similarity have a broad array of applications, including comparing chemical structures, navigating complex networks like the World Wide Web, and more recently, analyzing different kinds of biological data. ...

  7. Graphing at Pepco

    SciTech Connect (OSTI)

    Not Available

    1984-11-01T23:59:59.000Z

    Pepco's $250,000 worth of computer-graphics equipment has let the utility produce 60 to 100 graphs a day, for everyone from engineers to executives. The types and uses of computer graphics equipment are discussed.

  8. Drawing symmetric planar graphs

    E-Print Network [OSTI]

    Meric, Burak Necati

    1998-01-01T23:59:59.000Z

    16 17 19 20 21 22 23 24 25 26 A drawing generated by repeating graphs. Generation of the drawing with the unit cell. Calculation of the converted lines. Rectangular unit cell for hexagonal groups. Construction ofhexagonal cells by using... of pixels requires much computer memories and much powerful processors. Figure 1. A drawing generated by repeating graphs. Drawing uses an object-oriented point of view. In drawing, patterns are created as a collection of objects such as points, lines...

  9. Graph Concatenation for Quantum Codes

    E-Print Network [OSTI]

    Salman Beigi; Isaac Chuang; Markus Grassl; Peter Shor; Bei Zeng

    2010-02-03T23:59:59.000Z

    Graphs are closely related to quantum error-correcting codes: every stabilizer code is locally equivalent to a graph code, and every codeword stabilized code can be described by a graph and a classical code. For the construction of good quantum codes of relatively large block length, concatenated quantum codes and their generalizations play an important role. We develop a systematic method for constructing concatenated quantum codes based on "graph concatenation", where graphs representing the inner and outer codes are concatenated via a simple graph operation called "generalized local complementation." Our method applies to both binary and non-binary concatenated quantum codes as well as their generalizations.

  10. emonCMS visualization tools for DataBus? | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin: EnergyWyandanch,Eaga SolarZoloHome Dc'scloud

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapers Home Kyoung's picture Submitted byWhitewaterEnergy

  12. Graph dynamics : learning and representation

    E-Print Network [OSTI]

    Ribeiro, Andre Figueiredo

    2006-01-01T23:59:59.000Z

    Graphs are often used in artificial intelligence as means for symbolic knowledge representation. A graph is nothing more than a collection of symbols connected to each other in some fashion. For example, in computer vision ...

  13. Temporal Representation in Semantic Graphs

    SciTech Connect (OSTI)

    Levandoski, J J; Abdulla, G M

    2007-08-07T23:59:59.000Z

    A wide range of knowledge discovery and analysis applications, ranging from business to biological, make use of semantic graphs when modeling relationships and concepts. Most of the semantic graphs used in these applications are assumed to be static pieces of information, meaning temporal evolution of concepts and relationships are not taken into account. Guided by the need for more advanced semantic graph queries involving temporal concepts, this paper surveys the existing work involving temporal representations in semantic graphs.

  14. Densities in graphs and matroids

    E-Print Network [OSTI]

    Kannan, Lavanya

    2009-05-15T23:59:59.000Z

    Certain graphs can be described by the distribution of the edges in its subgraphs. For example, a cycle C is a graph that satisfies |E(H)| |V (H)| < |E(C)| |V (C)| = 1 for all non-trivial subgraphs of C. Similarly, a tree T is a graph that satisfies...

  15. Spectral fluctuations of quantum graphs

    SciTech Connect (OSTI)

    Pluha?, Z. [Faculty of Mathematics and Physics, Charles University, 180 00 Praha 8 (Czech Republic); Weidenmüller, H. A. [Max-Planck-Institut für Kernphysik, 69029 Heidelberg (Germany)

    2014-10-15T23:59:59.000Z

    We prove the Bohigas-Giannoni-Schmit conjecture in its most general form for completely connected simple graphs with incommensurate bond lengths. We show that for graphs that are classically mixing (i.e., graphs for which the spectrum of the classical Perron-Frobenius operator possesses a finite gap), the generating functions for all (P,Q) correlation functions for both closed and open graphs coincide (in the limit of infinite graph size) with the corresponding expressions of random-matrix theory, both for orthogonal and for unitary symmetry.

  16. Cliques in graphs

    E-Print Network [OSTI]

    Lo, Allan

    2010-10-12T23:59:59.000Z

    Cliques in Graphs Siu Lun Allan Lo Christ’s College University of Cambridge A thesis submitted for the degree of Doctor of Philosophy 2010 Declaration This dissertation is the result of my own work and includes nothing which is the outcome of work...

  17. Visual Breakout

    Broader source: Energy.gov [DOE]

    Visual Breakout of the Cummulative Barrels of Oil Recovered by the Discoverer Enterprise, Q4000 and HP1. Updated through 12:00 AM on July 16, 2010.

  18. Getting Rate Information from the utility_rates api | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd toWell2008) | OpenSilver PeakGeserv

  19. Global Combined Heat And Power Installation Market | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd toWell2008) |GigaCrete IncIGlenrockGCEHGlobal

  20. Global High-purity Pentoxide Industry 2015 Market Research Report | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd toWell2008)InformationGlobalIndustries

  1. Global High-purity Pentoxide Industry 2015 Market Research Report | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd

  2. Global POF Shrink Film Industry 2015 Market Research Report | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAddInformation Livestock

  3. Global POF Shrink Film Industry 2015 Market Research Report | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAddInformation LivestockCommunity POF

  4. Global Shuttleless Loom Industry 2015 Market Research Report | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAddInformationEnergy InformationGREP

  5. Global Shuttleless Loom Industry 2015 Market Research Report | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAddInformationEnergy

  6. Global Subsea Pumps Market to be Led by Brazil | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAddInformationEnergyEnergy Jump to:|

  7. Global Synthetic & Bio-Based Lubricants Market | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAddInformationEnergyEnergy Jump to:|Global

  8. Google lends support to the software behind OpenEI.org | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation, searchGoodyear, Arizona: EnergyGoogle

  9. File:RAPID OpenEI Tutorial.pdf | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdf Jump to:ar-80m.pdf Jump to:Original Rule from OARProof2.pdf JumpRAPID OpenEI

  10. Hawai'i Meeting #1 - Flowchart Development | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJumpEnergyStrategy |Hatchet Ridge Wind Farm JumpHavoco1 -

  11. Water Power Forum - Q & A | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraph HomeWaranaWater Power Forum - Q & A Home

  12. Waunita Hot Springs Geothermal Area | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraph HomeWaranaWater Power ForumGeothermal Area

  13. Graph Coarsening for Path Finding in Cybersecurity Graphs

    SciTech Connect (OSTI)

    Hogan, Emilie A.; Johnson, John R.; Halappanavar, Mahantesh

    2013-01-01T23:59:59.000Z

    n the pass-the-hash attack, hackers repeatedly steal password hashes and move through a computer network with the goal of reaching a computer with high level administrative privileges. In this paper we apply graph coarsening in network graphs for the purpose of detecting hackers using this attack or assessing the risk level of the network's current state. We repeatedly take graph minors, which preserve the existence of paths in the graph, and take powers of the adjacency matrix to count the paths. This allows us to detect the existence of paths as well as find paths that have high risk of being used by adversaries.

  14. The graph bottleneck identity

    E-Print Network [OSTI]

    Chebotarev, Pavel

    2010-01-01T23:59:59.000Z

    A matrix $S=(s_{ij})_{n\\times n}$ is said to determine a \\emph{transitional measure} for a digraph $\\Gamma$ on $n$ vertices if for all $i,j,k\\in\\{1,...,n\\},$ the \\emph{transition inequality} $s_{ij}s_{jk}\\le s_{ik}s_{jj}$ holds and reduces to the equality (called the \\emph{graph bottleneck identity}) if and only if every path in $\\Gamma$ from $i$ to $k$ contains $j$. We show that every positive transitional measure produces a distance by means of a logarithmic transformation. Moreover, the resulting distance $d(\\cdot,\\cdot)$ is \\emph{graph-geodetic}, that is, $d(i,j)+d(j,k)=d(i,k)$ holds if and only if every path from $i$ to $k$ contains $j$. Five types of matrices that determine transitional measures for a strong digraph are considered, namely, the matrices of path weights, connection reliabilities, route weights, and the weights of in-forests and out-forests. The results obtained have undirected counterparts. In [P. Chebotarev, A family of graph distances generalizing both the shortest-path and the resistan...

  15. Massive Scale Cyber Traffic Analysis: A Driver for Graph Database Research

    SciTech Connect (OSTI)

    Joslyn, Cliff A.; Choudhury, S.; Haglin, David J.; Howe, Bill; Nickless, William K.; Olsen, Bryan K.

    2013-06-19T23:59:59.000Z

    We describe the significance and prominence of network traffic analysis (TA) as a graph- and network-theoretical domain for advancing research in graph database systems. TA involves observing and analyzing the connections between clients, servers, hosts, and actors within IP networks, both at particular times and as extended over times. Towards that end, NetFlow (or more generically, IPFLOW) data are available from routers and servers which summarize coherent groups of IP packets flowing through the network. IPFLOW databases are routinely interrogated statistically and visualized for suspicious patterns. But the ability to cast IPFLOW data as a massive graph and query it interactively, in order to e.g.\\ identify connectivity patterns, is less well advanced, due to a number of factors including scaling, and their hybrid nature combining graph connectivity and quantitative attributes. In this paper, we outline requirements and opportunities for graph-structured IPFLOW analytics based on our experience with real IPFLOW databases. Specifically, we describe real use cases from the security domain, cast them as graph patterns, show how to express them in two graph-oriented query languages SPARQL and Datalog, and use these examples to motivate a new class of "hybrid" graph-relational systems.

  16. Comparison of open source visual analytics toolkits.

    SciTech Connect (OSTI)

    Crossno, Patricia Joyce; Harger, John R.

    2010-11-01T23:59:59.000Z

    We present the results of the first stage of a two-stage evaluation of open source visual analytics packages. This stage is a broad feature comparison over a range of open source toolkits. Although we had originally intended to restrict ourselves to comparing visual analytics toolkits, we quickly found that very few were available. So we expanded our study to include information visualization, graph analysis, and statistical packages. We examine three aspects of each toolkit: visualization functions, analysis capabilities, and development environments. With respect to development environments, we look at platforms, language bindings, multi-threading/parallelism, user interface frameworks, ease of installation, documentation, and whether the package is still being actively developed.

  17. Random rectangular Graphs

    E-Print Network [OSTI]

    Estrada, Ernesto

    2015-01-01T23:59:59.000Z

    A generalization of the random geometric graph (RGG) model is proposed by considering a set of points uniformly and independently distributed on a rectangle of unit area instead of on a unit square \\left[0,1\\right]^{2}. The topological properties, such as connectivity, average degree, average path length and clustering, of the random rectangular graphs (RRGs) generated by this model are then studied as a function of the rectangle sides lengths a and b=1/a, and the radius r used to connect the nodes. When a=1 we recover the RGG, and when a\\rightarrow\\infty the very elongated rectangle generated resembles a one-dimensional RGG. We provided computational and analytical evidence that the topological properties of the RRG differ significantly from those of the RGG. The connectivity of the RRG depends not only on the number of nodes as in the case of the RGG, but also on the side length of the rectangle. As the rectangle is more elongated the critical radius for connectivity increases following first a power-law an...

  18. VIDEO SUMMARIZATION BY SPATIAL-TEMPORAL GRAPH OPTIMIZATION Shi Lu, Michael R. Lyu, Irwin King

    E-Print Network [OSTI]

    King, Kuo Chin Irwin

    VIDEO SUMMARIZATION BY SPATIAL-TEMPORAL GRAPH OPTIMIZATION Shi Lu, Michael R. Lyu, Irwin King SAR {slu, lyu, king}@cse.cuhk.edu.hk ABSTRACT In this paper we present a novel approach for video sum-temporal content cov- erage and visual coherence of the video summary. The ap- proach has three stages. First

  19. GRAPH III: a digitizing and graph plotting program

    SciTech Connect (OSTI)

    Selleck, C.B.

    1986-03-01T23:59:59.000Z

    GRAPH is an interactive program that allows the user to perform two functions. The first is to plot two dimensional graphs and the second is to digitize graphs or plots to create data files of points. The program is designed to allow the user to get results quickly and easily. It is written in RATIV (a FORTRAN preprocessor) and is currently in use at Sandia under VMS on a VAX computer and CTSS on a Cray supercomputer. The program provides graphical output through all of the Sandia Virtual Device Interface (VDI) graphics devices. 2 refs., 3 figs., 3 tabs.

  20. Tools for Large Graph Mining Deepayan Chakrabarti

    E-Print Network [OSTI]

    Tools for Large Graph Mining by Deepayan Chakrabarti Submitted to the Center for Automated Learning computer networks to sociology, biology, ecology and many more. How do such "normal" graphs look like? How-graph, which can be both weighted or unweighted. · Ecology: Food webs are self-graphs with each node

  1. Contagious Sets in Random Graphs Uriel Feige

    E-Print Network [OSTI]

    Contagious Sets in Random Graphs Uriel Feige Michael Krivelevich Daniel Reichman August 10, 2014. A contagious set is a set whose activation results with the entire graph being active. Given a graph G, let m(G, 2) be the minimal size of a contagious set. We consider the binomial random graph G := G(n, p

  2. GRAPH THEORY STUDY GUIDE 1. Definitions

    E-Print Network [OSTI]

    Cooper, Joshua N.

    GRAPH THEORY STUDY GUIDE 1. Definitions Definition 1 (Partition of A). A set A = A1, ..., Ak. Definition 2 (Vertex set). The set of vertices in a graph denoted by V (G). Definition 3 (Edge set). The set of edges in a graph denoted by E(G). Definition 4 (Order). the number of vertices of a graph G written |G

  3. Human Factors Evaluation of Advanced Electric Power Grid Visualization Tools

    SciTech Connect (OSTI)

    Greitzer, Frank L.; Dauenhauer, Peter M.; Wierks, Tamara G.; Podmore, Robin

    2009-04-01T23:59:59.000Z

    This report describes initial human factors evaluation of four visualization tools (Graphical Contingency Analysis, Force Directed Graphs, Phasor State Estimator and Mode Meter/ Mode Shapes) developed by PNNL, and proposed test plans that may be implemented to evaluate their utility in scenario-based experiments.

  4. A Study on Set-Graphs

    E-Print Network [OSTI]

    Johan Kok; K. P. Chithra; N. K. Sudev; C. Susanth

    2015-04-09T23:59:59.000Z

    A \\textit{primitive hole} of a graph $G$ is a cycle of length $3$ in $G$. The number of primitive holes in a given graph $G$ is called the primitive hole number of that graph $G$. The primitive degree of a vertex $v$ of a given graph $G$ is the number of primitive holes incident on the vertex $v$. In this paper, we introduce the notion of set-graphs and study the properties and characteristics of set-graphs. We also check the primitive hole number and primitive degree of set-graphs. Interesting introductory results on the nature of order of set-graphs, degree of the vertices corresponding to subsets of equal cardinality, the number of largest complete subgraphs in a set-graph etc. are discussed in this study. A recursive formula to determine the primitive hole number of a set-graph is also derived in this paper.

  5. Visualizing data

    E-Print Network [OSTI]

    Ilik, Violeta

    We used Viewshare to visualize three different sets of data. Frist one is a collection of budget reports published by the Texas A&M System. The file was crosswalked from MARCXML to MODS and uploaded to Viewshare as an XML MODS file. The second...

  6. Graph anomalies in cyber communications

    SciTech Connect (OSTI)

    Vander Wiel, Scott A [Los Alamos National Laboratory; Storlie, Curtis B [Los Alamos National Laboratory; Sandine, Gary [Los Alamos National Laboratory; Hagberg, Aric A [Los Alamos National Laboratory; Fisk, Michael [Los Alamos National Laboratory

    2011-01-11T23:59:59.000Z

    Enterprises monitor cyber traffic for viruses, intruders and stolen information. Detection methods look for known signatures of malicious traffic or search for anomalies with respect to a nominal reference model. Traditional anomaly detection focuses on aggregate traffic at central nodes or on user-level monitoring. More recently, however, traffic is being viewed more holistically as a dynamic communication graph. Attention to the graph nature of the traffic has expanded the types of anomalies that are being sought. We give an overview of several cyber data streams collected at Los Alamos National Laboratory and discuss current work in modeling the graph dynamics of traffic over the network. We consider global properties and local properties within the communication graph. A method for monitoring relative entropy on multiple correlated properties is discussed in detail.

  7. Doing time : inducing temporal graphs

    E-Print Network [OSTI]

    Bramsen, Philip James

    2006-01-01T23:59:59.000Z

    We consider the problem of constructing a directed acyclic graph that encodes temporal relations found in a text. The unit of our analysis is a temporal segment, a fragment of text that maintains temporal coherence. The ...

  8. Virasoro Representations on Fusion Graphs

    E-Print Network [OSTI]

    J. Kellendonk; A. Recknagel

    1992-10-01T23:59:59.000Z

    For any non-unitary model with central charge c(2,q) the path spaces associated to a certain fusion graph are isomorphic to the irreducible Virasoro highest weight modules.

  9. Summing tree graphs at threshold

    SciTech Connect (OSTI)

    Brown, L.S. (Department of Physics, FM-15, University of Washington, Seattle, Washington 98195 (United States))

    1992-11-15T23:59:59.000Z

    The solution of the classical field equation generates the sum of all tree graphs. We show that the classical equation reduces to an easily solved ordinary differential equation for certain multiparticle threshold amplitudes and compute these amplitudes.

  10. Visualizing Music

    E-Print Network [OSTI]

    Haggerty, Mary Beth

    1995-01-01T23:59:59.000Z

    . Craig Hammack demonstrated super human levels of pat ience throughout this process and he lped me retain my focus. I would also like to thank my comrades in the Visualization Laboratory, they have expanded my horizons a n d given a g o o d ba lance... the unrounded, warm. Consonants were realized by their manner of articulation and if they were vo iced. For example, the frictive f is cerulean blue and frictive y is violet. The breaks or breaths in the text FIGURE 1: Ox; URSONATE, 2nd Half of the Fourth...

  11. Polynomials associated with graph coloring and orientations

    E-Print Network [OSTI]

    Humpert, Brandon Eugene

    2011-04-26T23:59:59.000Z

    We study colorings and orientations of graphs in two related contexts. Firstly, we generalize Stanley's chromatic symmetric function using the k-balanced colorings of Pretzel to create a new graph invariant. We show that ...

  12. Optimization in Geometric Graphs: Complexity and Approximation

    E-Print Network [OSTI]

    Kahruman-Anderoglu, Sera

    2011-02-22T23:59:59.000Z

    We consider several related problems arising in geometric graphs. In particular, we investigate the computational complexity and approximability properties of several optimization problems in unit ball graphs and develop algorithms to find exact...

  13. Percolation in the Secrecy Graph Amites Sarkar

    E-Print Network [OSTI]

    Sarkar, Amites

    Percolation in the Secrecy Graph Amites Sarkar Martin Haenggi July 8, 2011 Abstract Secrecy graphs. Department of Mathematics, Western Washington University, Bellingham, WA 98225, USA. Email: amites.sarkar

  14. Algebraic connectivity and graph robustness.

    SciTech Connect (OSTI)

    Feddema, John Todd; Byrne, Raymond Harry; Abdallah, Chaouki T. (University of New Mexico)

    2009-07-01T23:59:59.000Z

    Recent papers have used Fiedler's definition of algebraic connectivity to show that network robustness, as measured by node-connectivity and edge-connectivity, can be increased by increasing the algebraic connectivity of the network. By the definition of algebraic connectivity, the second smallest eigenvalue of the graph Laplacian is a lower bound on the node-connectivity. In this paper we show that for circular random lattice graphs and mesh graphs algebraic connectivity is a conservative lower bound, and that increases in algebraic connectivity actually correspond to a decrease in node-connectivity. This means that the networks are actually less robust with respect to node-connectivity as the algebraic connectivity increases. However, an increase in algebraic connectivity seems to correlate well with a decrease in the characteristic path length of these networks - which would result in quicker communication through the network. Applications of these results are then discussed for perimeter security.

  15. Graph Analytics for Signature Discovery

    SciTech Connect (OSTI)

    Hogan, Emilie A.; Johnson, John R.; Halappanavar, Mahantesh; Lo, Chaomei

    2013-06-01T23:59:59.000Z

    Within large amounts of seemingly unstructured data it can be diffcult to find signatures of events. In our work we transform unstructured data into a graph representation. By doing this we expose underlying structure in the data and can take advantage of existing graph analytics capabilities, as well as develop new capabilities. Currently we focus on applications in cybersecurity and communication domains. Within cybersecurity we aim to find signatures for perpetrators using the pass-the-hash attack, and in communications we look for emails or phone calls going up or down a chain of command. In both of these areas, and in many others, the signature we look for is a path with certain temporal properties. In this paper we discuss our methodology for finding these temporal paths within large graphs.

  16. Evan Marshall Trevathan Admissible SC-Graphs

    E-Print Network [OSTI]

    Donnelly, Rob

    Evan Marshall Trevathan Admissible SC-Graphs Page 1 Admissible SC-Graphs Define: ( , )G ( 2)nB n ( 4)nD n ( 6,7,8)nE n 4F 2G 2H 3H #12;Evan Marshall Trevathan Admissible SC-Graphs Page 2 the form of a #12;Evan Marshall Trevathan Admissible SC-Graphs Page 3 "loop", like ,with no other

  17. ALGORITHMS FOR EMBEDDING GRAPHS IN BOOKS

    E-Print Network [OSTI]

    North Carolina at Chapel Hill, University of

    investigate the problem ol embedding graphs in boob. A book is some number or half- planes (the page

  18. On semidefinite programming bounds for graph bandwidth

    E-Print Network [OSTI]

    Etienne De Klerk

    2011-06-06T23:59:59.000Z

    Jun 6, 2011 ... Keywords: Graph bandwidth, cyclic bandwidth, semidefinite programming, quadratic assignment problem. Category 1: Linear, Cone and ...

  19. Minimal Spanning Trees with Conflict Graphs

    E-Print Network [OSTI]

    symmetric conflict relations by means of an undirected conflict graph, where ..... International Symposium on Mathematical Foundations of Computer. Science ...

  20. NLS ground states on graphs

    E-Print Network [OSTI]

    Riccardo Adami; Enrico Serra; Paolo Tilli

    2014-06-16T23:59:59.000Z

    We investigate the existence of ground states for the subcritical NLS energy on metric graphs. In particular, we find out a topological assumption that guarantees the nonexistence of ground states, and give an example in which the assumption is not fulfilled and ground states actually exist. In order to obtain the result, we introduce a new rearrangement technique, adapted to the graph where it applies. Owing to such a technique, the energy level of the rearranged function is improved by conveniently mixing the symmetric and monotone rearrangement procedures.

  1. Effecting Parallel Graph Eigensolvers Through Library Composition

    E-Print Network [OSTI]

    Lumsdaine, Andrew

    is not possible in general. Conventional linear algebra libraries cannot operate on graph data types. Likewise exploitation of this duality. Graph libraries and matrix libraries use different data types, and despiteEffecting Parallel Graph Eigensolvers Through Library Composition Alex Breuer, Peter Gottschling

  2. Graph Decompositions and Secret Sharing Schemes 1

    E-Print Network [OSTI]

    Stinson, Douglas

    Graph Decompositions and Secret Sharing Schemes 1 C. Blundo and A. De Santis Dipartimento di In this paper, we continue a study of secret sharing schemes for access structures based on graphs. Given a graph G, we require that a subset of participants can compute a secret key if they contain an edge of G

  3. A heuristic algorithm for graph isomorphism

    E-Print Network [OSTI]

    Torres Navarro, Luz

    1999-01-01T23:59:59.000Z

    polynomial time algorithm O(n?), ISO-MT, that seems' to solve the graph isomorphism decision problem correctly for all classes of graphs. Our algorithm is extremely useful from the practical point of view since counter examples (pairs of graphs for which our...

  4. Acyclic Coloring of Graphs of Maximum Degree Five: Nine Colors are Enough

    E-Print Network [OSTI]

    Boyer, Edmond

    graphs with "large" girth [BKW99], 1-planar graphs [BKRS01], outerplanar graphs (see for instance [Sop97

  5. EuroComb 2005 DMTCS proc. AE, 2005, 389396 Acyclic Coloring of Graphs of Maximum

    E-Print Network [OSTI]

    Fertin, Guillaume

    for several families F of graphs such as planar graphs [Bor79], planar graphs with "large" girth [BKW99], 1

  6. Acyclic Coloring of Graphs of Maximum Degree Five: Nine Colors are Enough

    E-Print Network [OSTI]

    Fertin, Guillaume

    graphs with ``large'' girth [BKW99], 1­planar graphs [BKRS01], outerplanar graphs (see for instance [Sop

  7. Generalized Graph States Based on Hadamard Matrices

    E-Print Network [OSTI]

    Shawn X Cui; Nengkun Yu; Bei Zeng

    2015-02-25T23:59:59.000Z

    Graph states are widely used in quantum information theory, including entanglement theory, quantum error correction, and one-way quantum computing. Graph states have a nice structure related to a certain graph, which is given by either a stabilizer group or an encoding circuit, both can be directly given by the graph. To generalize graph states, whose stabilizer groups are abelian subgroups of the Pauli group, one approach taken is to study non-abelian stabilizers. In this work, we propose to generalize graph states based on the encoding circuit, which is completely determined by the graph and a Hadamard matrix. We study the entanglement structures of these generalized graph states, and show that they are all maximally mixed locally. We also explore the relationship between the equivalence of Hadamard matrices and local equivalence of the corresponding generalized graph states. This leads to a natural generalization of the Pauli $(X,Z)$ pairs, which characterizes the local symmetries of these generalized graph states. Our approach is also naturally generalized to construct graph quantum codes which are beyond stabilizer codes.

  8. Constrained Graph Optimization: Interdiction and Preservation Problems

    SciTech Connect (OSTI)

    Schild, Aaron V [Los Alamos National Laboratory

    2012-07-30T23:59:59.000Z

    The maximum flow, shortest path, and maximum matching problems are a set of basic graph problems that are critical in theoretical computer science and applications. Constrained graph optimization, a variation of these basic graph problems involving modification of the underlying graph, is equally important but sometimes significantly harder. In particular, one can explore these optimization problems with additional cost constraints. In the preservation case, the optimizer has a budget to preserve vertices or edges of a graph, preventing them from being deleted. The optimizer wants to find the best set of preserved edges/vertices in which the cost constraints are satisfied and the basic graph problems are optimized. For example, in shortest path preservation, the optimizer wants to find a set of edges/vertices within which the shortest path between two predetermined points is smallest. In interdiction problems, one deletes vertices or edges from the graph with a particular cost in order to impede the basic graph problems as much as possible (for example, delete edges/vertices to maximize the shortest path between two predetermined vertices). Applications of preservation problems include optimal road maintenance, power grid maintenance, and job scheduling, while interdiction problems are related to drug trafficking prevention, network stability assessment, and counterterrorism. Computational hardness results are presented, along with heuristic methods for approximating solutions to the matching interdiction problem. Also, efficient algorithms are presented for special cases of graphs, including on planar graphs. The graphs in many of the listed applications are planar, so these algorithms have important practical implications.

  9. Lamplighter groups, de Bruijn graphs, spider-web graphs and their spectra

    E-Print Network [OSTI]

    Rostislav Grigorchuk; Paul-Henry Leemann; Tatiana Nagnibeda

    2015-02-24T23:59:59.000Z

    We describe the infinite family of spider-web graphs $S_{k,M,N }$, $k \\geq 2$, $M \\geq 1$ and $N \\geq 0$, studied in physical literature as tensor products of well-known de Brujin graphs $B_{k,N}$ and cyclic graphs $C_M$ and show that these graphs are Schreier graphs of the lamplighter groups $L_k = Z/kZ \\wr Z$. This allows us to compute their spectra and to identify the infinite limit of $S_{k,M,N}$, as $N, M \\to\\infty$, with the Cayley graph of the lamplighter group $L_k$.

  10. Lamplighter groups, de Bruijn graphs, spider-web graphs and their spectra

    E-Print Network [OSTI]

    Rostislav Grigorchuk; Paul-Henry Leemann; Tatiana Nagnibeda

    2015-05-05T23:59:59.000Z

    We describe the infinite family of spider-web graphs $S_{k,M,N }$, $k \\geq 2$, $M \\geq 1$ and $N \\geq 0$, studied in physical literature as tensor products of well-known de Brujin graphs $B_{k,N}$ and cyclic graphs $C_M$ and show that these graphs are Schreier graphs of the lamplighter groups $L_k = Z/kZ \\wr Z$. This allows us to compute their spectra and to identify the infinite limit of $S_{k,M,N}$, as $N, M \\to\\infty$, with the Cayley graph of the lamplighter group $L_k$.

  11. A study in animation and visualization: consolidation of the Mississippi Fan 

    E-Print Network [OSTI]

    Parmley, Kelly Lynn

    1992-01-01T23:59:59.000Z

    a formal summary of the field and that NSF establish a new initiative on Visualization in Scientific Computing (ViSC) [22]. Held February 9-10, 1987. the Workshop on Visualization in Scientific Com- puting brought together a broad spectrum... throughout the scientific community. In essence, the goal was to unify the fields of computer graph- ics, image processing, computer vision, computer-aided design, signal processing, and user interface studies[22]. The response to the ViSC initiative...

  12. On graphs whose Laplacian matrix's multipartite separability is invariant under graph isomorphism

    E-Print Network [OSTI]

    Chai Wah Wu

    2009-06-04T23:59:59.000Z

    Normalized Laplacian matrices of graphs have recently been studied in the context of quantum mechanics as density matrices of quantum systems. Of particular interest is the relationship between quantum physical properties of the density matrix and the graph theoretical properties of the underlying graph. One important aspect of density matrices is their entanglement properties, which are responsible for many nonintuitive physical phenomena. The entanglement property of normalized Laplacian matrices is in general not invariant under graph isomorphism. In recent papers, graphs were identified whose entanglement and separability properties are invariant under isomorphism. The purpose of this note is to characterize the set of graphs whose separability is invariant under graph isomorphism. In particular, we show that this set consists of $K_{2,2}$, $\\overline{K_{2,2}}$ and all complete graphs.

  13. A Feasible Graph Partition Framework for Random Walks Implemented by Parallel Computing in Big Graph

    E-Print Network [OSTI]

    Liu, Xiaoming; Guan, Xiaohong

    2015-01-01T23:59:59.000Z

    Graph partition is a fundamental problem of parallel computing for big graph data. Many graph partition algorithms have been proposed to solve the problem in various applications, such as matrix computations and PageRank, etc., but none has pay attention to random walks. Random walks is a widely used method to explore graph structure in lots of fields. The challenges of graph partition for random walks include the large number of times of communication between partitions, lots of replications of the vertices, unbalanced partition, etc. In this paper, we propose a feasible graph partition framework for random walks implemented by parallel computing in big graph. The framework is based on two optimization functions to reduce the bandwidth, memory and storage cost in the condition that the load balance is guaranteed. In this framework, several greedy graph partition algorithms are proposed. We also propose five metrics from different perspectives to evaluate the performance of these algorithms. By running the al...

  14. Multipartite separability of Laplacian matrices of graphs

    E-Print Network [OSTI]

    Chai Wah Wu

    2008-09-04T23:59:59.000Z

    Recently, Braunstein et al. [1] introduced normalized Laplacian matrices of graphs as density matrices in quantum mechanics and studied the relationships between quantum physical properties and graph theoretical properties of the underlying graphs. We provide further results on the multipartite separability of Laplacian matrices of graphs. In particular, we identify complete bipartite graphs whose normalized Laplacian matrix is multipartite entangled under any vertex labeling. Furthermore, we give conditions on the vertex degrees such that there is a vertex labeling under which the normalized Laplacian matrix is entangled. These results address an open question raised in [1]. Finally, we extend some of the results in [1,2] to the multipartite case and show that the Laplacian matrix of any product of graphs (strong, Cartesian, tensor, categorical, etc.) is multipartite separable.

  15. Median graph shift: A new clustering algorithm for graph domain Salim Jouili, Salvatore Tabbone

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    and a comparison with the well-known Kmeans algorithm is provided. I. INTRODUCTION Graphs give a universal

  16. Discussiones Mathematicae Graph Theory 34 (2014) 287307

    E-Print Network [OSTI]

    Al Hanbali, Ahmad

    2014-01-01T23:59:59.000Z

    FOR TRACEABILITY OF BLOCK-CHAINS Binlong Lia,b1, Hajo Broersmab and Shenggui Zhanga2 a Department of Applied at least n-1 in G. A block-chain is a graph whose block graph is a path, i.e., it is either a P1, P2, every traceable graph is a block-chain, but the reverse does not hold. In this paper we characterize all

  17. Spectral statistics of nearly unidirectional quantum graphs

    E-Print Network [OSTI]

    Maram Akila; Boris Gutkin

    2015-03-04T23:59:59.000Z

    The energy levels of a quantum graph with time reversal symmetry and unidirectional classical dynamics are doubly degenerate and obey the spectral statistics of the Gaussian Unitary Ensemble. These degeneracies, however, are lifted when the unidirectionality is broken in one of the graph's vertices by a singular perturbation. Based on a Random Matrix model we derive an analytic expression for the nearest neighbour distribution between energy levels of such systems. As we demonstrate the result agrees excellently with the actual statistics for graphs with a uniform distribution of eigenfunctions. Yet, it exhibits quite substantial deviations for classes of graphs which show strong scarring.

  18. Generation of graph-state streams

    E-Print Network [OSTI]

    Daniel Ballester; Jaeyoon Cho; M. S. Kim

    2010-12-08T23:59:59.000Z

    We propose a protocol to generate a stream of mobile qubits in a graph state through a single stationary parent qubit and discuss two types of its physical implementation, namely, the generation of photonic graph states through an atom-like qubit and those of flying atoms through a cavity-mode photonic qubit. The generated graph states fall into an important class that can hugely reduce the resource requirement of fault-tolerant linear optics quantum computation, which was previously known to be far from realistic. In regard to the flying atoms, we also propose a heralded generation scheme, which allows for high-fidelity graph states even under the photon loss.

  19. Nuclear reactor multiphysics via bond graph formalism

    E-Print Network [OSTI]

    Sosnovsky, Eugeny

    2014-01-01T23:59:59.000Z

    This work proposes a simple and effective approach to modeling nuclear reactor multiphysics problems using bond graphs. Conventional multiphysics simulation paradigms normally use operator splitting, which treats the ...

  20. On the Cohen-Macaulay graphs and girth

    E-Print Network [OSTI]

    Hoang, Do Trong; Trung, Tran Nam

    2012-01-01T23:59:59.000Z

    In this paper we investigate the Cohen-Macaulay property of graphs versus girth. In particular, we classify Cohen-Macaulay graphs of girth at least five and planar Gorenstein graphs of girth four.

  1. POSTER PRESENTATION Open Access A novel 3D visualization tool for large-scale

    E-Print Network [OSTI]

    Harris Jr., Frederick C.

    the complex setup and analysis of neural simulations by providing a convenient, easy to use graphical. The user interface provides full customization of all attribute colora- tion schemes allowing for powerful graphing, and camera paths). This software is capable of powerfully visualizing neural simulations without

  2. Visual Exploration of Turbulent Combustion and Laser-Wakefield Accelerator Simulations

    E-Print Network [OSTI]

    hydrogen flames under different levels of turbulence ­ Lean combustion reduces emissions Important hydrogen flames] #12;Visual Exploration of Turbulent Combustion and Laser-Wakefield Accelerator Simulations 12 Tracking Graph Extraction Pipeline 1. Concatenate to obtain 4D mesh 2. Extract isotherm in 4D 3

  3. AUTOMATIC HEART ISOLATION FOR CT CORONARY VISUALIZATION USING G. Funka-Lea1

    E-Print Network [OSTI]

    Boykov, Yuri

    AUTOMATIC HEART ISOLATION FOR CT CORONARY VISUALIZATION USING GRAPH-CUTS G. Funka-Lea1 , Y. Boykov3 isolate the outer surface of the entire heart in Computer Tomogra- phy (CT) cardiac scans. Isolating the entire heart allows the coronary vessels on the surface of the heart to be easily visu- alized despite

  4. Operational Equivalence of Graph Transformation Systems

    E-Print Network [OSTI]

    Sarna-Starosta, Beata

    Operational Equivalence of Graph Transformation Systems Frank Raiser and Thom Fr¨uhwirth Faculty. With the growing number of GTS- based applications the comparison of operational equivalence of two GTS becomes an important area of research. This work introduces a notion of operational equivalence for graph

  5. On terminal deltawye reducibility of planar graphs

    E-Print Network [OSTI]

    Sagols, Feliú

    On terminal delta­wye reducibility of planar graphs Isidoro Gitler1 Feli´u Sagols2 Departamento de´exico City, D.F. igitler@math.cinvestav.mx fsagols@math.cinvestav.mx Abstract A graph is terminal - Y -reducible if it can be reduced to a set of terminal vertices by a sequence of series-parallel reductions

  6. A COLUMN GENERATION APPROACH FOR GRAPH COLORING

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    set in the graph). We use a column generation method for implicit optimization of the linear program based on an integer programming formulation of the graph coloring problem. This formulation, called is an assignment of labels to each vertex such that the endpoints of any edge have different labels. A minimum

  7. A Count of Classical Field Theory Graphs

    E-Print Network [OSTI]

    Gordon Chalmers

    2005-07-28T23:59:59.000Z

    A generating function is derived that counts the number of diagrams in an arbitrary scalar field theory. The number of graphs containing any number $n_j$ of $j$-point vertices is given. The count is also used to obtain the number of classical graphs in gauge theory and gravity.

  8. Visual servoing Francois Chaumette

    E-Print Network [OSTI]

    Boyer, Edmond

    Concepts ­ Visual navigation ­ Visual tracking ­ Robot vision ­ Pan/Tilt/Zoom camera control ­ Image-guided robotic surgery Definition Visual servoing refers to the use of computer vision data as input of real time closed loop control schemes to control the motion of a dynamic system, a robot typically [8

  9. Directed Graphs, Decompositions, and Spatial Linkages

    E-Print Network [OSTI]

    Shai, Offer; Whiteley, Walter

    2010-01-01T23:59:59.000Z

    The decomposition of a system of constraints into small basic components is an important tool of design and analysis. Specifically, the decomposition of a linkage into minimal components is a central tool of analysis and synthesis of linkages. In this paper we prove that every pinned 3-isostatic (minimally rigid) graph (grounded linkage) has a unique decomposition into minimal strongly connected components (in the sense of directed graphs) which we call 3-Assur graphs. This analysis extends the Assur decompositions of plane linkages previously studied in the mathematical and the mechanical engineering literature. These 3-Assur graphs are the central building blocks for all kinematic linkages in 3-space. They share a number of key combinatorial and geometric properties with the 2-Assur graphs, including an associated lower block-triangular decomposition of the pinned rigidity matrix which provides a format for extending the motion induced by inserting one driver in a bottom Assur linkage to the joints of the e...

  10. Clustering attributed graphs: models, measures and methods

    E-Print Network [OSTI]

    Bothorel, Cecile; Magnani, Matteo; Micenkova, Barbora

    2015-01-01T23:59:59.000Z

    Clustering a graph, i.e., assigning its nodes to groups, is an important operation whose best known application is the discovery of communities in social networks. Graph clustering and community detection have traditionally focused on graphs without attributes, with the notable exception of edge weights. However, these models only provide a partial representation of real social systems, that are thus often described using node attributes, representing features of the actors, and edge attributes, representing different kinds of relationships among them. We refer to these models as attributed graphs. Consequently, existing graph clustering methods have been recently extended to deal with node and edge attributes. This article is a literature survey on this topic, organizing and presenting recent research results in a uniform way, characterizing the main existing clustering methods and highlighting their conceptual differences. We also cover the important topic of clustering evaluation and identify current open ...

  11. Pictures of Processes: Automated Graph Rewriting for Monoidal Categories and Applications to Quantum Computing

    E-Print Network [OSTI]

    Aleks Kissinger

    2012-03-22T23:59:59.000Z

    This work is about diagrammatic languages, how they can be represented, and what they in turn can be used to represent. More specifically, it focuses on representations and applications of string diagrams. String diagrams are used to represent a collection of processes, depicted as "boxes" with multiple (typed) inputs and outputs, depicted as "wires". If we allow plugging input and output wires together, we can intuitively represent complex compositions of processes, formalised as morphisms in a monoidal category. [...] The first major contribution of this dissertation is the introduction of a discretised version of a string diagram called a string graph. String graphs form a partial adhesive category, so they can be manipulated using double-pushout graph rewriting. Furthermore, we show how string graphs modulo a rewrite system can be used to construct free symmetric traced and compact closed categories on a monoidal signature. The second contribution is in the application of graphical languages to quantum information theory. We use a mixture of diagrammatic and algebraic techniques to prove a new classification result for strongly complementary observables. [...] We also introduce a graphical language for multipartite entanglement and illustrate a simple graphical axiom that distinguishes the two maximally-entangled tripartite qubit states: GHZ and W. [...] The third contribution is a description of two software tools developed in part by the author to implement much of the theoretical content described here. The first tool is Quantomatic, a desktop application for building string graphs and graphical theories, as well as performing automated graph rewriting visually. The second is QuantoCoSy, which performs fully automated, model-driven theory creation using a procedure called conjecture synthesis.

  12. Hyun Jin Lee Visual Studio

    E-Print Network [OSTI]

    Narasayya, Vivek

    ( ) . · . · . · .NET . . : Visual Studio 2010 10 - Intro Visual Studio 2010 ! . Visual Studio Studio 2010 (Microsoft .NET Framework 4), Visual Studio 2008 (.NET Framework 3.5), Visual Studio 2005 (.NET Framework 2.0) . Visual Studio IT Enterprise Desktop Administrator #12;/ MCTS: Microsoft

  13. EuroComb 2005 DMTCS proc. AE, 2005, 389--396 Acyclic Coloring of Graphs of Maximum

    E-Print Network [OSTI]

    Fertin, Guillaume

    for several families F of graphs such as planar graphs [Bor79], planar graphs with ``large'' girth [BKW99], 1

  14. Vienna Graph Template Library Version 1.0

    E-Print Network [OSTI]

    Neumaier, Arnold

    .1 Vienna Graph Template Library Modules Here is a list of all modules: Classes and types for external useVienna Graph Template Library Version 1.0 Reference Manual Hermann Schichl University of Vienna.2.14 #12;CONTENTS 1 Contents 1 Introduction 1 2 Vienna Graph Template Library Module Index 2 3 Vienna Graph

  15. Attack Graphs for Sensor Placement, Alert Prioritization, and Attack Response

    E-Print Network [OSTI]

    Noel, Steven

    1 Attack Graphs for Sensor Placement, Alert Prioritization, and Attack Response Steven Noel of IDS alarms, using attack graph analysis. Our attack graphs predict the various possible ways and attacker exploits provides an attack graph showing all possible paths to critical assets. We then place IDS

  16. Graph partitioning advance clustering technique

    E-Print Network [OSTI]

    Madhulatha, T Soni

    2012-01-01T23:59:59.000Z

    Clustering is a common technique for statistical data analysis, Clustering is the process of grouping the data into classes or clusters so that objects within a cluster have high similarity in comparison to one another, but are very dissimilar to objects in other clusters. Dissimilarities are assessed based on the attribute values describing the objects. Often, distance measures are used. Clustering is an unsupervised learning technique, where interesting patterns and structures can be found directly from very large data sets with little or none of the background knowledge. This paper also considers the partitioning of m-dimensional lattice graphs using Fiedler's approach, which requires the determination of the eigenvector belonging to the second smallest Eigenvalue of the Laplacian with K-means partitioning algorithm.

  17. A role for matrices in graph theory

    E-Print Network [OSTI]

    McLean, John Patrick

    1971-01-01T23:59:59.000Z

    Theory are well established areas in mathematics, much remains to be done in the standardization of notation and conventions. Thus we begin by defining terms to be used in this Thesis. 1. ) ~Gh 1'h By the directed graph G(X, r), or simply G, we mean... directed graph is said to be stronglb connected if for each pair of vertices x and x. , there is a path from xi to x ~ If Z is a subset of X and TZ is the subfunction of I' from Z into Z, then G'(Z, "Z) is a subgz'aph of G. The bi-partite graph G(X, Y...

  18. Revisiting Interval Graphs for Network Science

    E-Print Network [OSTI]

    Loe, Chuan Wen

    2015-01-01T23:59:59.000Z

    The vertices of an interval graph represent intervals over a real line where overlapping intervals denote that their corresponding vertices are adjacent. This implies that the vertices are measurable by a metric and there exists a linear structure in the system. The generalization is an embedding of a graph onto a multi-dimensional Euclidean space and it was used by scientists to study the multi-relational complexity of ecology. However the research went out of fashion in the 1980s and was not revisited when Network Science recently expressed interests with multi-relational networks known as multiplexes. This paper studies interval graphs from the perspective of Network Science.

  19. From graphs to signals and back: Identification of graph structures using spectral analysis

    E-Print Network [OSTI]

    Hamon, Ronan; Flandrin, Patrick; Robardet, Céline

    2015-01-01T23:59:59.000Z

    Many systems comprising entities in interactions can be represented as graphs, whose structure gives significant insights about how these systems work. Network theory has undergone further developments, in particular in relation to detection of communities in graphs, to catch this structure. Recently, an approach has been proposed to transform a graph into a collection of signals: Using a multidimensional scaling technique on a distance matrix representing relations between vertices of the graph, points in a Euclidean space are obtained and interpreted as signals, indexed by the vertices. In this article, we propose several extensions to this approach, developing a framework to study graph structures using signal processing tools. We first extend the current methodology, enabling us to highlight connections between properties of signals and graph structures, such as communities, regularity or randomness, as well as combinations of those. A robust inverse transformation method is next described, taking into ac...

  20. Werner Trobin, May 26, 2004 The Boost Graph Library -p. 1/48 The Boost Graph Library

    E-Print Network [OSTI]

    Werner Trobin, May 26, 2004 The Boost Graph Library - p. 1/48 The Boost Graph Library Generic Library Design Werner Trobin #12;Introduction The Boost Graph Library Demo References Werner Trobin, May 26, 2004 The Boost Graph Library - p. 2/48 Outline I Introduction to Boost I The Boost

  1. Continuous-time quantum walks on star graphs

    SciTech Connect (OSTI)

    Salimi, S. [Department of Physics, University of Kurdistan, P.O. Box 66177-15175, Sanandaj (Iran, Islamic Republic of)], E-mail: shsalimi@uok.ac.ir

    2009-06-15T23:59:59.000Z

    In this paper, we investigate continuous-time quantum walk on star graphs. It is shown that quantum central limit theorem for a continuous-time quantum walk on star graphs for N-fold star power graph, which are invariant under the quantum component of adjacency matrix, converges to continuous-time quantum walk on K{sub 2} graphs (complete graph with two vertices) and the probability of observing walk tends to the uniform distribution.

  2. On semidefinite programming bounds for graph bandwidth

    E-Print Network [OSTI]

    2011-05-24T23:59:59.000Z

    May 24, 2011 ... the rectangular grid graph Pn × Pm (i.e. the Cartesian product of the paths Pn and Pm) is min{n, m} [6] ...... Ars Combinatoria, 47:147-152, 1997.

  3. Constant time algorithms in sparse graph model

    E-Print Network [OSTI]

    Nguyen, Huy Ngoc, Ph. D. Massachusetts Institute of Technology

    2010-01-01T23:59:59.000Z

    We focus on constant-time algorithms for graph problems in bounded degree model. We introduce several techniques to design constant-time approximation algorithms for problems such as Vertex Cover, Maximum Matching, Maximum ...

  4. Forced orientation of graphs Babak Farzad

    E-Print Network [OSTI]

    Toronto, University of

    Forced orientation of graphs Babak Farzad Mohammad Mahdian Ebad S. Mahmoodian Amin Saberi§ Bardia, USA. (saberi@cc.gatech.edu) ¶ Department of Computer Science, UIUC, Urbana, USA. (sadri@cs.uiuc.edu) 1

  5. Support graph preconditioners for sparse linear systems

    E-Print Network [OSTI]

    Gupta, Radhika

    2005-02-17T23:59:59.000Z

    . In this thesis, we develop support graph preconditioners for symmetric positive de?nite matrices that arise from the ?nite element discretization of elliptic partial di?erential equations. An object oriented code is developed for the construction, integration...

  6. Fault-tolerant dynamic task graph scheduling

    SciTech Connect (OSTI)

    Kurt, Mehmet C.; Krishnamoorthy, Sriram; Agrawal, Kunal; Agrawal, Gagan

    2014-11-16T23:59:59.000Z

    In this paper, we present an approach to fault tolerant execution of dynamic task graphs scheduled using work stealing. In particular, we focus on selective and localized recovery of tasks in the presence of soft faults. We elicit from the user the basic task graph structure in terms of successor and predecessor relationships. The work stealing-based algorithm to schedule such a task graph is augmented to enable recovery when the data and meta-data associated with a task get corrupted. We use this redundancy, and the knowledge of the task graph structure, to selectively recover from faults with low space and time overheads. We show that the fault tolerant design retains the essential properties of the underlying work stealing-based task scheduling algorithm, and that the fault tolerant execution is asymptotically optimal when task re-execution is taken into account. Experimental evaluation demonstrates the low cost of recovery under various fault scenarios.

  7. Projective representations from quantum enhanced graph symmetries

    E-Print Network [OSTI]

    2015-03-11T23:59:59.000Z

    Presently, we will label the edges of a graph by elements of a group ...... (a) Read off the matrix ? by putting the G label of a vertex onto the diagonal in the place.

  8. Video-Visuals

    Broader source: Energy.gov [DOE]

    Multimedia resources at the United States Department of Energy help to message geothermal development visually through video, photographs, renderings of the subsurface, and resource maps. VIDEO links

  9. Visualizing conceptual information

    E-Print Network [OSTI]

    Brunner, Matthew Conrad

    1993-01-01T23:59:59.000Z

    choices followed by an evaluation of the visualization and the collaborative process. A review of selected, relevant film follows the evaluation....

  10. Continuous Time Group Discovery in Dynamic Graphs

    SciTech Connect (OSTI)

    Miller, K; Eliassi-Rad, T

    2010-11-04T23:59:59.000Z

    With the rise in availability and importance of graphs and networks, it has become increasingly important to have good models to describe their behavior. While much work has focused on modeling static graphs, we focus on group discovery in dynamic graphs. We adapt a dynamic extension of Latent Dirichlet Allocation to this task and demonstrate good performance on two datasets. Modeling relational data has become increasingly important in recent years. Much work has focused on static graphs - that is fixed graphs at a single point in time. Here we focus on the problem of modeling dynamic (i.e. time-evolving) graphs. We propose a scalable Bayesian approach for community discovery in dynamic graphs. Our approach is based on extensions of Latent Dirichlet Allocation (LDA). LDA is a latent variable model for topic modeling in text corpora. It was extended to deal with topic changes in discrete time and later in continuous time. These models were referred to as the discrete Dynamic Topic Model (dDTM) and the continuous Dynamic Topic Model (cDTM), respectively. When adapting these models to graphs, we take our inspiration from LDA-G and SSN-LDA, applications of LDA to static graphs that have been shown to effectively factor out community structure to explain link patterns in graphs. In this paper, we demonstrate how to adapt and apply the cDTM to the task of finding communities in dynamic networks. We use link prediction to measure the quality of the discovered community structure and apply it to two different relational datasets - DBLP author-keyword and CAIDA autonomous systems relationships. We also discuss a parallel implementation of this approach using Hadoop. In Section 2, we review LDA and LDA-G. In Section 3, we review the cDTM and introduce cDTMG, its adaptation to modeling dynamic graphs. We discuss inference for the cDTM-G and details of our parallel implementation in Section 4 and present its performance on two datasets in Section 5 before concluding in Section 6.

  11. 2Cosmic Bar Graphs Galaxy Type

    E-Print Network [OSTI]

    in the cluster are spirals? Problem 2 ­ Gamma-ray bursts happen about once each day. The bar graph to the right there are 160 total galaxies, the fraction of spirals is 137/160 = 0.86, or equivalently 86%. Problem 2 ­ Gamma-ray2Cosmic Bar Graphs 0 20 40 60 80 100 S E SB I Galaxy Type Number 0 200 400 600 800 1000 FB SB Burst

  12. Accelerating semantic graph databases on commodity clusters

    SciTech Connect (OSTI)

    Morari, Alessandro; Castellana, Vito G.; Haglin, David J.; Feo, John T.; Weaver, Jesse R.; Tumeo, Antonino; Villa, Oreste

    2013-10-06T23:59:59.000Z

    We are developing a full software system for accelerating semantic graph databases on commodity cluster that scales to hundreds of nodes while maintaining constant query throughput. Our framework comprises a SPARQL to C++ compiler, a library of parallel graph methods and a custom multithreaded runtime layer, which provides a Partitioned Global Address Space (PGAS) programming model with fork/join parallelism and automatic load balancing over a commodity clusters. We present preliminary results for the compiler and for the runtime.

  13. Graphs of subgroups of free groups

    E-Print Network [OSTI]

    Louder, Larsen

    2009-01-01T23:59:59.000Z

    We construct an efficient model for graphs of finitely generated subgroups of free groups. Using this we give a very short proof of Dicks's reformulation of the strengthened Hanna Neumann Conjecture as the Amalgamated Graph Conjecture. In addition, we answer a question of Culler and Shalen on ranks of intersections in free groups. The latter has also been done independently by R. P. Kent IV.

  14. Graph representation of protein free energy landscape

    SciTech Connect (OSTI)

    Li, Minghai; Duan, Mojie; Fan, Jue; Huo, Shuanghong, E-mail: shuo@clarku.edu [Gustaf H. Carlson School of Chemistry and Biochemistry, Clark University, 950 Main Street, Worcester, Massachusetts 01610 (United States)] [Gustaf H. Carlson School of Chemistry and Biochemistry, Clark University, 950 Main Street, Worcester, Massachusetts 01610 (United States); Han, Li [Department of Mathematics and Computer Science, Clark University, 950 Main Street, Worcester, Massachusetts 01610 (United States)] [Department of Mathematics and Computer Science, Clark University, 950 Main Street, Worcester, Massachusetts 01610 (United States)

    2013-11-14T23:59:59.000Z

    The thermodynamics and kinetics of protein folding and protein conformational changes are governed by the underlying free energy landscape. However, the multidimensional nature of the free energy landscape makes it difficult to describe. We propose to use a weighted-graph approach to depict the free energy landscape with the nodes on the graph representing the conformational states and the edge weights reflecting the free energy barriers between the states. Our graph is constructed from a molecular dynamics trajectory and does not involve projecting the multi-dimensional free energy landscape onto a low-dimensional space defined by a few order parameters. The calculation of free energy barriers was based on transition-path theory using the MSMBuilder2 package. We compare our graph with the widely used transition disconnectivity graph (TRDG) which is constructed from the same trajectory and show that our approach gives more accurate description of the free energy landscape than the TRDG approach even though the latter can be organized into a simple tree representation. The weighted-graph is a general approach and can be used on any complex system.

  15. DISPLAYING AND INTERPRETING FLUID INCLUSION STRATIGRAPHY ANALYSES...

    Open Energy Info (EERE)

    ANALYSES ON MUDLOG GRAPHS Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Proceedings: DISPLAYING AND INTERPRETING FLUID INCLUSION STRATIGRAPHY...

  16. E 120 Data Visualization Projects Caltech, third term 2012-2013, 6 units (3-0-6)

    E-Print Network [OSTI]

    Haile, Sossina M.

    REQUIRED PROJECT MATERIALS Students will determine the materials needed for their projects. StudentsE 120 Data Visualization Projects Caltech, third term 2012-2013, 6 units (3-0-6) Mondays, 7pm - 9pm, brainstorming maps, graphs, illustrations, movies, animation, as well as public presentation materials

  17. Visual compass Frederic Labrosse

    E-Print Network [OSTI]

    Labrosse, Frédéric

    Visual compass Fr´ed´eric Labrosse Department of Computer Science University of Wales, Aberystwyth://www.taros.org.uk. #12;Visual compass Fr´ed´eric Labrosse Department of Computer Science University of Wales Aberystwyth results that show a performance similar to a magnetic compass. In particular, the heading measured

  18. Intro Algo ring Arbitrary graphs Conclusion PING PONG IN DANGEROUS GRAPHS

    E-Print Network [OSTI]

    Fondements et Applications, Université Paris 7

    Intro Algo ring Arbitrary graphs Conclusion PING PONG IN DANGEROUS GRAPHS Optimal Black Hole Search blocking and destroying any mobile agent entering it. Motivations : Site which is destroyed or dangerous blocking and destroying any mobile agent entering it. Motivations : Site which is destroyed or dangerous

  19. Welcome to the new PVWatts. What's new? | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraph HomeWaranaWaterEnergyWeekly

  20. Understanding resonance graphs using Easy Java Simulations (EJS) and why we use EJS

    E-Print Network [OSTI]

    Wee, Loo Kang; Chew, Charles; Wong, Darren; Tan, Samuel

    2015-01-01T23:59:59.000Z

    This paper reports a computer model- simulation created using Easy Java Simulation (EJS) for learners to visualize how the steady-state amplitude of a driven oscillating system varies with the frequency of the periodic driving force. The simulation shows (N=100) identical spring-mass systems being subjected to (1) periodic driving force of equal amplitude but different driving frequencies and (2) different amount of damping. The simulation aims to create a visually intuitive way of understanding how the series of amplitude versus driving frequency graphs are obtained by showing how the displacement of the system changes over time as it transits from the transient to the steady state. A suggested how to use the model is added to help educators and students in their teaching and learning, where we explained the theoretical steady state equation, time conditions when the model starts allowing data recording of maximum amplitudes to closely match the theoretical equation and steps to collect different runs of deg...

  1. Architecture for Teraflop Visualization

    SciTech Connect (OSTI)

    Breckenridge, A.R.; Haynes, R.A.

    1999-04-09T23:59:59.000Z

    Sandia Laboratories' computational scientists are addressing a very important question: How do we get insight from the human combined with the computer-generated information? The answer inevitably leads to using scientific visualization. Going one technology leap further is teraflop visualization, where the computing model and interactive graphics are an integral whole to provide computing for insight. In order to implement our teraflop visualization architecture, all hardware installed or software coded will be based on open modules and dynamic extensibility principles. We will illustrate these concepts with examples in our three main research areas: (1) authoring content (the computer), (2) enhancing precision and resolution (the human), and (3) adding behaviors (the physics).

  2. A New Combinatorial Approach for Sparse Graph Problems

    E-Print Network [OSTI]

    Blelloch, Guy E.

    A New Combinatorial Approach for Sparse Graph Problems Guy E. Blelloch, Virginia Vassilevska- totic improvement over O(mn) for all pairs least common ancestors on directed acyclic graphs. 1

  3. Outline of the talk Statistics on Graphs, Exponential Formula and

    E-Print Network [OSTI]

    Poinsot, Laurent

    Outline of the talk Statistics on Graphs, Exponential Formula and Combinatorial Physics G and Complexity" Laurent Poinsot Statistics on Graphs, Exponential Formula and Combinatorial Physics #12;Exponential Formula : Informal Version Ingredients for the exponential formula Partial commutative monoids

  4. On perfect codes in Cartesian product of graphs Michel Mollard

    E-Print Network [OSTI]

    Boyer, Edmond

    ] and others. The existence of perfect codes have also been proved in Towers of Hanoi graphs [6] and Sierpinski on the symmetric group Sn+1 thus are of order (n + 1)!. These families include star graphs, for which the existence

  5. Codes on Graphs: Duality and MacWilliams Identities

    E-Print Network [OSTI]

    Forney, G. David, Jr.

    A conceptual framework involving partition functions of normal factor graphs is introduced, paralleling a similar recent development by Al-Bashabsheh and Mao. The partition functions of dual normal factor graphs are shown ...

  6. Generating Random Graphs with Large Girth Mohsen Bayati

    E-Print Network [OSTI]

    Saberi, Amin

    Generating Random Graphs with Large Girth Mohsen Bayati Andrea Montanari Amin Saberi Abstract We; saberi@stanford.edu. 1 #12;free graphs are close to bipartite. We show that our new algorithm guarantees

  7. Scalable Parallel Algorithms for Massive Scale-free Graphs

    E-Print Network [OSTI]

    Pearce, Roger Allan

    2013-12-05T23:59:59.000Z

    , distributed, and external memory. This dissertation develops new techniques to parallelize the storage, computation, and communication for scale-free graphs with high-degree vertices. Our work facilitates the processing of large real-world graph datasets...

  8. Scalable Parallel Algorithms for Massive Scale-free Graphs 

    E-Print Network [OSTI]

    Pearce, Roger Allan

    2013-12-05T23:59:59.000Z

    , distributed, and external memory. This dissertation develops new techniques to parallelize the storage, computation, and communication for scale-free graphs with high-degree vertices. Our work facilitates the processing of large real-world graph datasets...

  9. Math 564 Graph Theory Fall 2008 Instructor Amites Sarkar

    E-Print Network [OSTI]

    Sarkar, Amites

    Math 564 Graph Theory Fall 2008 Instructor Amites Sarkar Text Pearls in Graph Theory (Dover Edition and Fridays, in 216 Bond Hall. My phone number is 650 7569 and my e-mail is amites.sarkar@wwu.edu #12;

  10. Math 564 Graph Theory Fall 2013 Instructor Amites Sarkar

    E-Print Network [OSTI]

    Sarkar, Amites

    Math 564 Graph Theory Fall 2013 Instructor Amites Sarkar Text Modern Graph Theory B´ela Bollob, Tuesdays, Wednesdays and Fridays, in 216 Bond Hall. My phone number is 650 7569 and my e-mail is amites.sarkar

  11. MadGraph 5 : Going Beyond

    E-Print Network [OSTI]

    Johan Alwall; Michel Herquet; Fabio Maltoni; Olivier Mattelaer; Tim Stelzer

    2011-06-02T23:59:59.000Z

    MadGraph 5 is the new version of the MadGraph matrix element generator, written in the Python programming language. It implements a number of new, efficient algorithms that provide improved performance and functionality in all aspects of the program. It features a new user interface, several new output formats including C++ process libraries for Pythia 8, and full compatibility with FeynRules for new physics models implementation, allowing for event generation for any model that can be written in the form of a Lagrangian. MadGraph 5 builds on the same philosophy as the previous versions, and its design allows it to be used as a collaborative platform where theoretical, phenomenological and simulation projects can be developed and then distributed to the high-energy community. We describe the ideas and the most important developments of the code and illustrate its capabilities through a few simple phenomenological examples.

  12. Problems of Distance-Regular Graphs Hiroshi Suzuki

    E-Print Network [OSTI]

    Xi, Changchang

    . Biggs, Algebraic Graph Theory Second Edition, Cambridge U. P., Cambridge 1993. [16] N. L. Biggs, A. G

  13. Computational visual reality

    E-Print Network [OSTI]

    Hirsch, Matthew Waggener

    2014-01-01T23:59:59.000Z

    It is not so far-fetched to envision a future student working through a difficult physics problem by using their hands to manipulate a 3D visualization that floats above the desk. A doctor preparing for heart surgery will ...

  14. Extreme Scale Visual Analytics

    SciTech Connect (OSTI)

    Steed, Chad A [ORNL] [ORNL; Potok, Thomas E [ORNL] [ORNL; Pullum, Laura L [ORNL] [ORNL; Ramanathan, Arvind [ORNL] [ORNL; Shipman, Galen M [ORNL] [ORNL; Thornton, Peter E [ORNL] [ORNL

    2013-01-01T23:59:59.000Z

    Given the scale and complexity of today s data, visual analytics is rapidly becoming a necessity rather than an option for comprehensive exploratory analysis. In this paper, we provide an overview of three applications of visual analytics for addressing the challenges of analyzing climate, text streams, and biosurveilance data. These systems feature varying levels of interaction and high performance computing technology integration to permit exploratory analysis of large and complex data of global significance.

  15. The power graph of a group Peter J. Cameron

    E-Print Network [OSTI]

    Burton, Geoffrey R.

    ; graphs are much looser. For example, there are only five different groups with eight elementsThe power graph of a group Peter J. Cameron Queen Mary, University of London LTCC Open Day, 8 January 2010 Groups and graphs A group is an algebraic structure: a set with a bi- nary operation

  16. VGTL (Vienna Graph Template Library) Version 1.1

    E-Print Network [OSTI]

    Schichl, Hermann

    .1 Vienna Graph Template Library Modules Here is a list of all modules: Classes and types for external useVGTL (Vienna Graph Template Library) Version 1.1 Reference Manual Hermann Schichl University June 2003 #12;CONTENTS 1 Contents 1 Introduction 1 2 Vienna Graph Template Library Module Index 2 3

  17. Mining Closed Relational Graphs with Connectivity Constraints X. Jasmine Zhou

    E-Print Network [OSTI]

    Zhou, Xianghong Jasmine

    Mining Closed Relational Graphs with Connectivity Constraints Xifeng Yan X. Jasmine Zhou Jiawei Han relational graphs, how to mine frequent highly connected subgraphs from it? ... G1 G2 Gn pattern Figure 1. Mining Massive Relational Graphs This new problem setting has three major characteristics different from

  18. Inference of Edge Replacement Graph Grammars Jacek P. Kukluk1

    E-Print Network [OSTI]

    Holder, Lawrence B.

    Inference of Edge Replacement Graph Grammars Jacek P. Kukluk1 , Lawrence B. Holder2 , and Diane J@eecs.wsu.edu Abstract We describe an algorithm and experiments for inference of edge replacement graph grammars for inference of Node Replacement Recursive Graph Grammars [7]. In this paper we describe an approach

  19. Optimal IDS Sensor Placement And Alert Prioritization Using Attack Graphs

    E-Print Network [OSTI]

    Noel, Steven

    1 Optimal IDS Sensor Placement And Alert Prioritization Using Attack Graphs Steven Noel and Sushil optimally place intrusion detection system (IDS) sensors and prioritize IDS alerts using attack graph. The set of all such paths through the network constitutes an attack graph, which we aggregate according

  20. Cellular Algebras and Graph Invariants Based on Quantum Walks

    E-Print Network [OSTI]

    Jamie Smith

    2011-03-01T23:59:59.000Z

    We consider two graph invariants inspired by quantum walks- one in continuous time and one in discrete time. We will associate a matrix algebra called a cellular algebra with every graph. We show that, if the cellular algebras of two graphs have a similar structure, then they are not distinguished by either of the proposed invariants.

  1. Periodic schedules for Unitary Timed Weighted Event Graphs

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Event Graph model (TEG also called marked graphs [5]) and dataflow graphs, oftenly used in the computer questions are polynomially solved for ordinary TEG [1], [5], [6], [8]. In particular, it has been shown that if a TEG is live, there always exists a periodic schedule with the optimal throughput (i.e. with the same

  2. Problems of Distance-Regular Graphs Hiroshi Suzuki

    E-Print Network [OSTI]

    Xi, Changchang

    ­328. [14] H. Suzuki, The Terwilliger algebra associated with a set of vertices in a distance-regular graph, J. Alg. Combin. 22 (2005), 5-38. [15] P. Terwilliger, Distance-regular graphs and (s, c, a, k)-graphs, J. Combin. Th. (B) 34 (1983), 151­164. [16] P. Terwilliger, A new inequality for distance

  3. StreamWorks - A system for Dynamic Graph Search

    SciTech Connect (OSTI)

    Choudhury, Sutanay; Holder, Larry; Chin, George; Ray, Abhik; Beus, Sherman J.; Feo, John T.

    2013-06-11T23:59:59.000Z

    Acting on time-critical events by processing ever growing social media, news or cyber data streams is a major technical challenge. Many of these data sources can be modeled as multi-relational graphs. Mining and searching for subgraph patterns in a continuous setting requires an efficient approach to incremental graph search. The goal of our work is to enable real-time search capabilities for graph databases. This demonstration will present a dynamic graph query system that leverages the structural and semantic characteristics of the underlying multi-relational graph.

  4. Generalized Domination in Graphs with Applications in Wireless Networks

    E-Print Network [OSTI]

    Sung, Je Sang

    2013-12-10T23:59:59.000Z

    ]. Throughout this dissertation, we consider a finite, simple, undirected graph which is denoted by G = (V,E) where V = {1, 2, . . . , n} and (i, j) ? E when vertices i and j are joined by an edge with |E| = m. Order and size of a graph is the number of vertices... vertices. This definition also applies to a complete graph. Menger’s theorem [79] is a basic result of connectivity in finite undirected graph. The vertex-connectivity version of Menger’s theorem for a finite undirected graph G = (V,E) is the following...

  5. Spectral statistics for scaling quantum graphs

    E-Print Network [OSTI]

    Yu. Dabaghian

    2006-08-09T23:59:59.000Z

    The explicit solution to the spectral problem of quantum graphs is used to obtain the exact distributions of several spectral statistics, such as the oscillations of the quantum momentum eigenvalues around the average, $\\delta k_{n}=k_{n}-\\bar k_{n}$, and the nearest neighbor separations, $s_{n}=k_{n}-k_{n-1}$.

  6. Graph-Theoretic Connectivity Control of Mobile

    E-Print Network [OSTI]

    Pappas, George J.

    ]­[23]. This research has given rise to connectivity or topology control algorithms that regulate the transmission powerINVITED P A P E R Graph-Theoretic Connectivity Control of Mobile Robot Networks This paper develops an analysis for groups of vehicles connected by a communication network; control laws are formulated

  7. Dominating Set on Bipartite Graphs Mathieu Liedloff

    E-Print Network [OSTI]

    Liedloff, Mathieu

    .5263n ) time algorithm using polynomial space and an O(1.5137n ) time algorithm using exponential space ) time and polynomial space algorithm, and an O(1.5063n ) time algorithm that uses exponential space. We]). Known results. Given a graph G = (V, E), a subset D V is a dominating set of G if every vertex of V

  8. Quantum secret sharing with qudit graph states

    SciTech Connect (OSTI)

    Keet, Adrian; Fortescue, Ben; Sanders, Barry C. [Institute for Quantum Information Science, University of Calgary, Alberta, T2N 1N4 (Canada); Markham, Damian [LTCI-CNRS, Telecom ParisTech, 37/39 rue Dareau, F-75014 Paris (France)

    2010-12-15T23:59:59.000Z

    We present a unified formalism for threshold quantum secret sharing using graph states of systems with prime dimension. We construct protocols for three varieties of secret sharing: with classical and quantum secrets shared between parties over both classical and quantum channels.

  9. Flexible Layered Authentication Graph for Multimedia Streaming

    E-Print Network [OSTI]

    Sun, Qibin

    With the increasing demand on multimedia streaming in more and more applications, security issues such as integrity side, lost packets are dropped from the graph and a packet is verifiable if it has a path and all subsequent packets become not verifiable. EMSS [4] makes a great improvement by building multiple

  10. Lessons 6 Graphs of Functional Models

    E-Print Network [OSTI]

    2013-08-30T23:59:59.000Z

    Aug 30, 2013 ... One of the problems (#1) illustrates the principle of supply and demand, ... All of the problems involve building up a function model (see Lesson 5) ... Granite Management rents out several apartment complexes in the .... Side. 0.001 per cm2. Bottom. 0.005 per cm2. Lessons 6 Graphs of Functional Models.

  11. Line graphs e contrazioni: un approccio rigoroso alla space syntax

    E-Print Network [OSTI]

    D'Autilia, Roberto

    2015-01-01T23:59:59.000Z

    The methods of the space syntax have been the subject of extensive discussion, and several techniques to identify the axis lines have been proposed. The space syntax can be represented in terms of line graph, a graphs defined on the edge of a given primary graph. By means of the line graph algorithms, a system of labels defined on the edges of the primary graph is transformed into a system of labels on the vertices of the line graph. The contraction of adjacent edges with the same label allows to build a more general graph than those generated with the methods of the space syntax. By means of the functions implemented in Mathematica is therefore possible to redefine the space syntax on any system of urban quantities (labels) and reproduce the results of the axial lines as a special case. As an example is discussed a possible application of the method to the urban noise analysis.

  12. Interactive visual supports for children with autism

    E-Print Network [OSTI]

    Hayes, Gillian R.; Hirano, Sen; Marcu, Gabriela; Monibi, Mohamad; Nguyen, David H.; Yeganyan, Michael

    2010-01-01T23:59:59.000Z

    010-0294-8 ORIGINAL ARTICLE Interactive visual supports fordesign guidelines for interactive visual supports that wouldvSked, a multi-device interactive visual schedule system.

  13. A Visual Analytics Approach to Structured Data Analysis to Enhance Nonproliferation and Arms Control Verification Activities

    SciTech Connect (OSTI)

    Gillen, David S.

    2014-08-07T23:59:59.000Z

    Analysis activities for Nonproliferation and Arms Control verification require the use of many types of data. Tabular structured data, such as Excel spreadsheets and relational databases, have traditionally been used for data mining activities, where specific queries are issued against data to look for matching results. The application of visual analytics tools to structured data enables further exploration of datasets to promote discovery of previously unknown results. This paper discusses the application of a specific visual analytics tool to datasets related to the field of Arms Control and Nonproliferation to promote the use of visual analytics more broadly in this domain. Visual analytics focuses on analytical reasoning facilitated by interactive visual interfaces (Wong and Thomas 2004). It promotes exploratory analysis of data, and complements data mining technologies where known patterns can be mined for. Also with a human in the loop, they can bring in domain knowledge and subject matter expertise. Visual analytics has not widely been applied to this domain. In this paper, we will focus on one type of data: structured data, and show the results of applying a specific visual analytics tool to answer questions in the Arms Control and Nonproliferation domain. We chose to use the T.Rex tool, a visual analytics tool developed at PNNL, which uses a variety of visual exploration patterns to discover relationships in structured datasets, including a facet view, graph view, matrix view, and timeline view. The facet view enables discovery of relationships between categorical information, such as countries and locations. The graph tool visualizes node-link relationship patterns, such as the flow of materials being shipped between parties. The matrix visualization shows highly correlated categories of information. The timeline view shows temporal patterns in data. In this paper, we will use T.Rex with two different datasets to demonstrate how interactive exploration of the data can aid an analyst with arms control and nonproliferation verification activities. Using a dataset from PIERS (PIERS 2014), we will show how container shipment imports and exports can aid an analyst in understanding the shipping patterns between two countries. We will also use T.Rex to examine a collection of research publications from the IAEA International Nuclear Information System (IAEA 2014) to discover collaborations of concern. We hope this paper will encourage the use of visual analytics structured data analytics in the field of nonproliferation and arms control verification. Our paper outlines some of the challenges that exist before broad adoption of these kinds of tools can occur and offers next steps to overcome these challenges.

  14. Data-flow graphs as a model of parallel complexity

    SciTech Connect (OSTI)

    Campbell, M.L.

    1987-01-01T23:59:59.000Z

    A new model of parallel computation based on data-flow graphs is introduced, which is specifically oriented towards complexity theory. Data-flow graphs are capable of illustrating properties of synchronous, asynchronous, and nondeterministic computations. Sufficient conditions are derived for asynchronous data-flow graphs to be determinate, i.e., all possible computations are finite and yield the same result. For determinate graphs, it is shown that the synchronous computation is as fast as any asynchronous computation. An algorithm is presented that transforms a nondeterminate data-flow graphs into a synchronous determinate one. The basic data-flow graph idea is extended into a model with greater potential parallelism, called the Uniform Data Flow Graph Family (UDFGF) Model. It is proved that time and space for the UDFGF model are polynomially related to reversal and space for the Turing Machine model, in both the deterministic and nondeterministic cases. In addition to forming an abstract computational model, data-flow graphs are parallel programs for real multiprocessors. Given a data flow graph program and a multiprocessor, each node of the graph must be assigned to one of the processors. It is proved that this problem is intractable, and a practical algorithm to find approximate solutions for it is presented.

  15. PERCEPTION AND Visual Perception

    E-Print Network [OSTI]

    Majumder, Aditi

    1 PERCEPTION AND ACTION Visual Perception Slide 2 Aditi Majumder, UCI Ecological Approach to Perception J. J. Gibson in 1929 Traditional experiments too constrained Subjects cannot move their heads Study of snapshot vision Perception in its natural environment Emphasizes relationship between

  16. Information visualization as creative nonfiction

    E-Print Network [OSTI]

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

    2013-01-01T23:59:59.000Z

    Information visualizations are an important means through which we communicate knowledge. By considering visualizations as data-driven narratives, this thesis uses narrative thinking as an orienting concept to support the ...

  17. HOGgles: Visualizing Object Detection Features

    E-Print Network [OSTI]

    Vondrick, Carl Martin

    We introduce algorithms to visualize feature spaces used by object detectors. The tools in this paper allow a human to put on 'HOG goggles' and perceive the visual world as a HOG based object detector sees it. We found ...

  18. Crunching Large Graphs with Commodity Processors

    SciTech Connect (OSTI)

    Nelson, Jacob E.; Myers, Brandon D.; Hunter, Andrew H.; Briggs, Preston; Ceze, Luis; Ebeling, William C.; Grossman, Dan; Kahan, Simon H.; Oskin, Mark

    2011-05-26T23:59:59.000Z

    Crunching large graphs is the basis of many emerging appli- cations, such as social network analysis and bioinformatics. Graph analytics algorithms exhibit little locality and therefore present signi?cant performance challenges. Hardware multi- threading systems (e.g, Cray XMT) show that with enough concurrency, we can tolerate long latencies. Unfortunately, this solution is not available with commodity parts. Our goal is to develop a latency-tolerant system built out of commodity parts and mostly in software. The proposed system includes a runtime that supports a large number of lightweight contexts, full-bit synchronization and a memory manager that provides a high-latency but high-bandwidth global shared memory. This paper lays out the vision for our system, and justi?es its feasibility with a performance analysis of the run- time for latency tolerance.

  19. Local semicircle law for random regular graphs

    E-Print Network [OSTI]

    Roland Bauerschmidt; Antti Knowles; Horng-Tzer Yau

    2015-05-26T23:59:59.000Z

    We consider random $d$-regular graphs on $N$ vertices, with degree $d$ at least $(\\log N)^4$. We prove that the Green's function of the adjacency matrix and the Stieltjes transform of its empirical spectral measure are well approximated by Wigner's semicircle law, down to the optimal scale given by the typical eigenvalue spacing (up to a logarithmic correction). Aside from well-known consequences for the local eigenvalue distribution, this result implies the complete delocalization of all eigenvectors.

  20. Investigating Physical Visualizations Yvonne Jansen

    E-Print Network [OSTI]

    Boyer, Edmond

    such as 3D printers facilitates the creation of accurate data visualizations. Most work so far focused of physical visualizations compared to on-screen visualizations ­ with a focus on the chal- lenges posed by 3D model of yvonne.jansen@inria.fr pierre.dragicevic@inria.fr jean-daniel.fekete@inria.fr a 3D time

  1. Collaboration Topics - Visualization | National Nuclear Security...

    National Nuclear Security Administration (NNSA)

    Simulation and Computing and Institutional R&D Programs NNSACEA Cooperation in Computer Science Collaboration Topics - Visualization Collaboration Topics - Visualization...

  2. Dynamics of entanglement of bosonic modes on symmetric graphs

    E-Print Network [OSTI]

    F. Ghahhari; V. Karimipour; R. Shahrokhshahi

    2006-11-23T23:59:59.000Z

    We investigate the dynamics of an initially disentangled Gaussian state on a general finite symmetric graph. As concrete examples we obtain properties of this dynamics on mean field graphs of arbitrary sizes. In the same way that chains can be used for transmitting entanglement by their natural dynamics, these graphs can be used to store entanglement. We also consider two kinds of regular polyhedron which show interesting features of entanglement sharing.

  3. k-Boson Quantum Walks Do Not Distinguish Arbitrary Graphs

    E-Print Network [OSTI]

    Jamie Smith

    2010-04-01T23:59:59.000Z

    In this paper, we define k-equivalence, a relation on graphs that relies on their associated cellular algebras. We show that a k-Boson quantum walk cannot distinguish pairs of graphs that are k- equivalent. The existence of pairs of k-equivalent graphs has been shown by Ponomarenko et al. [2, 6]. This gives a negative answer to a question posed by Gamble et al. [7].

  4. Nodal Parity Invariants of Knotted Rigid Vertex Graphs

    E-Print Network [OSTI]

    Kauffman, Louis H

    2012-01-01T23:59:59.000Z

    This paper introduces new invariants of rigid vertex graph embeddings by using non-local combinatorial information that is available at each graphical node. The new non-local information that we use in this paper involves parity in the Gauss code of the underlying graph. We apply these methods to graphs in classical and virtual knot theory, and we give formulations for applications to the topology of protein folding.

  5. An efficient semidefinite programming relaxation for the graph ...

    E-Print Network [OSTI]

    2012-08-28T23:59:59.000Z

    can be computed efficiently for larger graphs that have suitable algebraic symmetry. For a comparison of the SDP bounds for the GEP, see [45]. While the GEP is ...

  6. Generating Random Graphs with Large Girth Mohsen Bayati

    E-Print Network [OSTI]

    Montanari, Annamaria

    Generating Random Graphs with Large Girth Mohsen Bayati Andrea Montanari Amin Saberi Abstract We for Computational and Mathematical Engineering, Stanford University; saberi@stanford.edu. knowledge

  7. Processing Visual Images

    SciTech Connect (OSTI)

    Litke, Alan (UC Santa Cruz) [UC Santa Cruz

    2006-03-27T23:59:59.000Z

    The back of the eye is lined by an extraordinary biological pixel detector, the retina. This neural network is able to extract vital information about the external visual world, and transmit this information in a timely manner to the brain. In this talk, Professor Litke will describe a system that has been implemented to study how the retina processes and encodes dynamic visual images. Based on techniques and expertise acquired in the development of silicon microstrip detectors for high energy physics experiments, this system can simultaneously record the extracellular electrical activity of hundreds of retinal output neurons. After presenting first results obtained with this system, Professor Litke will describe additional applications of this incredible technology.

  8. Expanding the Frontiers of Visual Analytics and Visualization

    SciTech Connect (OSTI)

    Dill, John; Earnshaw, Rae; Kasik, David; Vince, John; Wong, Pak C.

    2012-05-31T23:59:59.000Z

    Expanding the Frontiers of Visual Analytics and Visualization contains international contributions by leading researchers from within the field. Dedicated to the memory of Jim Thomas, the book begins with the dynamics of evolving a vision based on some of the principles that Jim and colleagues established and in which Jim’s leadership was evident. This is followed by chapters in the areas of visual analytics, visualization, interaction, modelling, architecture, and virtual reality, before concluding with the key area of technology transfer to industry.

  9. Graph searching and a generalized parking function

    E-Print Network [OSTI]

    Kostic, Dimitrije Nenad

    2009-05-15T23:59:59.000Z

    sequence (a1,a2,...,an) of non-negative integers for which there exists a permutation pi ?Sn such that 0 ?api(i) ?i?1 for all indexes i. In other words, if we choose a permutation pi such that api(1) ?api(2) ? ...? api(n) then we have (api(1),api(2),...,api... if at the end of this process we have removed all vertices from consideration. More formally, Proposition 7. A vertex function is a G-parking function if and only if there exists an ordering pi(1),pi(2),...,pi(n) of the vertices of a graph G such that for every...

  10. Tables, Graphs, and Problems | ornl.gov

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesis of 2D Alloys &8-5070P3. U.S.7.Tables, Graphs,

  11. Geographic Information Systems- Tools For Geotherm Exploration...

    Open Energy Info (EERE)

    Systems- Tools For Geotherm Exploration, Tracers Data Analysis, And Enhanced Data Distribution, Visualization, And Management Jump to: navigation, search OpenEI Reference...

  12. Resource Minimized Static Mapping and Dynamic Scheduling of SDF Graphs

    E-Print Network [OSTI]

    Ha, Soonhoi

    Resource Minimized Static Mapping and Dynamic Scheduling of SDF Graphs Jinwoo Kim, Tae-ho Shin than the previous approaches. Keywords-Mapping, buffer size minimization, SDF graph, dynamic scheduling a model-based approach based on SDF (synchronous data flow) model. Since the parallelism of an application

  13. Synthesis of Parallel Hardware Implementations from Synchronous Dataflow Graph Specifications

    E-Print Network [OSTI]

    of automated register­transfer level (RTL) VHDL code generation from synchronous dataflow (SDF) graph for mapping applications specified in SDF to parallel digital hardware implementations. Two styles synthesis from SDF graphs is presented. In order to minimize cost while meeting performance require­ ments

  14. The Parallel BGL: A Generic Library for Distributed Graph Computations

    E-Print Network [OSTI]

    Lumsdaine, Andrew

    ] and written in a style similar to the C++ Standard Template Library (STL) [38, 46], 1 #12;data types providedThe Parallel BGL: A Generic Library for Distributed Graph Computations Douglas Gregor and Andrew,lums}@osl.iu.edu Abstract This paper presents the Parallel BGL, a generic C++ library for distributed graph computation

  15. Including Blind Students in Computer Science Through Access to Graphs

    E-Print Network [OSTI]

    Young, R. Michael

    Including Blind Students in Computer Science Through Access to Graphs Suzanne Balik, Sean Mealin SKetching tool, GSK, to provide blind and sighted people with a means to create, examine, and share graphs (node-link diagrams) in real-time. GSK proved very effective for one blind computer science student

  16. Semidefinite programming and eigenvalue bounds for the graph ...

    E-Print Network [OSTI]

    2013-11-26T23:59:59.000Z

    Page 1 ... Using what we call the Laplacian algebra of a graph, we ..... Let us now consider graphs with symmetry, and assume that the data matrices of .... constraints (16) and (17) (respectively) don't occur precisely because of the vanishing of.

  17. Understanding Complex Network Attack Graphs through Clustered Adjacency Matrices

    E-Print Network [OSTI]

    Noel, Steven

    Understanding Complex Network Attack Graphs through Clustered Adjacency Matrices Steven Noel}@gmu.edu Abstract We apply adjacency matrix clustering to network attack graphs for attack correlation, prediction, and hypothesizing. We self-multiply the clustered adjacency matrices to show attacker reachability across

  18. Math 304 Handout: Linear algebra, graphs, and networks.

    E-Print Network [OSTI]

    Anshelevich, Michael

    and adjacency matrices. 1 2. Word search 3 3. Ranking the web pages. 4 1. GRAPHS AND ADJACENCY MATRICES. · The World Wide Web is a directed graph, with web pages as vertices and links as edges. · Towns connected column corresponds to a web page, each row to a word, and each entry is 1 if a particular word occurs

  19. Analogical Representation and Graph Comprehension Aidan Feeney and Lara Webber

    E-Print Network [OSTI]

    comprehension make the assumption that viewers build up a wholly propositional description of the graph a scale of two different levels of a variable, one may extract information about the value of each level with the information presented in the graph. A is high on the scale B is low on the scale A is higher on the scale than

  20. The Generic Graph Component Library Dr. Dobb's Journal September 2000

    E-Print Network [OSTI]

    Lumsdaine, Andrew

    .nd.edu, and lumsg@lsc.nd.edu, respectively. The Standard Template Library has established a solid foundation generic programming has to offer. In January, 1999, we did a survey of existing graph libraries. Some.mpi-sb.mpg.de/LEDA/leda.html), the Graph Template Library (GTL) (by Michael Forster, Andreas Pick, and Marcus Raitner, http

  1. On the concurrent semantics of Algebraic Graph Grammars #

    E-Print Network [OSTI]

    Baldan, Paolo

    â??a di Pisa, Italy baldan@dsi.unive.it andrea@di.unipi.it Abstract. Graph grammars are a powerful model. These semantics have served as basis for the development of a variety of modelling and verification techniques graph transformation systems as an alternative model of concurrency, extending Petri nets. The basic

  2. Power Domination in Cylinders, Tori, and Generalized Petersen Graphs

    E-Print Network [OSTI]

    Ferrero, Daniela - Department of Mathematics, Texas State University

    of graphs by Haynes et al. in 2002 [7]. Indeed, an electrical power network can be modeled by a graph where for power system monitoring. The minimum cardi- nality of a PDS of G is its power domination number. INTRODUCTION Electric power companies need to monitor the state of their networks continually. The state

  3. Hierarchical Remote Sensing Image Analysis via Graph Laplacian Energy

    E-Print Network [OSTI]

    Zhou, Jun

    1 Hierarchical Remote Sensing Image Analysis via Graph Laplacian Energy Zhang Huigang, Bai Xiao for an efficient image description, which may cause increased computational complexity. In this paper, we propose a new hierarchical segmentation method that applies graph Laplacian energy as a generic measure

  4. SPATIAL POINT PROCESSES AND GRAPH BASED STATISTICAL FEATURES

    E-Print Network [OSTI]

    Jyväskylä, University of

    2010 2000 Mathematics Subject Classification. 60G55, 62-07, 62M30. ISSN 1457-9235 #12;SPATIAL POINT Classification. 60G55, 62-07, 62M30. 1 #12;Spatial point processes and graph based statistical features Tuomas library has been developed for the computation of the graph-based summaries. Keywords: Spatial point

  5. Scaling Semantic Graph Databases in Size and Performance

    SciTech Connect (OSTI)

    Morari, Alessandro; Castellana, Vito G.; Villa, Oreste; Tumeo, Antonino; Weaver, Jesse R.; Haglin, David J.; Choudhury, Sutanay; Feo, John T.

    2014-08-06T23:59:59.000Z

    In this paper we present SGEM, a full software system for accelerating large-scale semantic graph databases on commodity clusters. Unlike current approaches, SGEM addresses semantic graph databases by only employing graph methods at all the levels of the stack. On one hand, this allows exploiting the space efficiency of graph data structures and the inherent parallelism of graph algorithms. These features adapt well to the increasing system memory and core counts of modern commodity clusters. On the other hand, however, these systems are optimized for regular computation and batched data transfers, while graph methods usually are irregular and generate fine-grained data accesses with poor spatial and temporal locality. Our framework comprises a SPARQL to data parallel C compiler, a library of parallel graph methods and a custom, multithreaded runtime system. We introduce our stack, motivate its advantages with respect to other solutions and show how we solved the challenges posed by irregular behaviors. We present the result of our software stack on the Berlin SPARQL benchmarks with datasets up to 10 billion triples (a triple corresponds to a graph edge), demonstrating scaling in dataset size and in performance as more nodes are added to the cluster.

  6. Deciding Timed Bisimulation for Timed Automata Using Zone Valuation Graph

    E-Print Network [OSTI]

    Prasad, Sanjiva

    Deciding Timed Bisimulation for Timed Automata Using Zone Valuation Graph Shibashis Guha, Chinmay was first proved to be decidable for timed automata by Cerans using a product construction method on region graph. Several other methods have been proposed in the literature since then for decid- ing timed

  7. Scalability Analysis of Partitioning Strategies for Finite Element Graphs. \\Lambda

    E-Print Network [OSTI]

    Kumar, Vipin

    Scalability Analysis of Partitioning Strategies for Finite Element Graphs. \\Lambda Grama Y. Ananth Y. Grama ananth@cs:umn:edu Abstract Issues of partitioning Finite Element Graphs are central for implementing the Finite Element Method (FEM). Parallel formulations of finite element techniques require

  8. A Surface Reconstruction Method Using Global Graph Cut Optimization

    E-Print Network [OSTI]

    Paris, Sylvain

    SAR (China) 1 sparis@csail.mit.edu -- Sylvain Paris has worked on this project during his PhD at ARTIS calibrated images mainly has been approached using local methods, either as a continuous optimization problem of a pixel. Index Terms Graph flow, graph cut, 3D reconstruction from calibrated cameras, discontinuities

  9. A Surface Reconstruction Method Using Global Graph Cut Optimization

    E-Print Network [OSTI]

    Paris, Sylvain

    SAR (China) 1sparis@csail.mit.edu ­ Sylvain Paris has worked on this project during his PhD at ARTIS calibrated images mainly has been approached using local methods, either as a continuous optimization problem of a pixel. Index Terms Graph flow, graph cut, 3D reconstruction from calibrated cameras, discontinuities

  10. A Surface Reconstruction Method Using Global Graph Cut Optimization

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    SAR (China) 1sparis@csail.mit.edu ­ Sylvain Paris has worked on this project during his PhD at ARTIS reconstruction from multiple calibrated images mainly has been approached using local methods, either to 1/10th of a pixel. Index Terms Graph flow, graph cut, 3D reconstruction from calibrated cameras

  11. Video Denoising and Simplification Via Discrete Regularization on Graphs

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Video Denoising and Simplification Via Discrete Regularization on Graphs Mahmoud Ghoniem, Youssef algorithms for video de- noising and simplification based on discrete regularization on graphs. The main difference between video and image denoising is the temporal redundancy in video sequences. Recent works

  12. VIDEO SUMMARIZATION BY VIDEO STRUCTURE ANALYSIS AND GRAPH OPTIMIZATION

    E-Print Network [OSTI]

    King, Kuo Chin Irwin

    VIDEO SUMMARIZATION BY VIDEO STRUCTURE ANALYSIS AND GRAPH OPTIMIZATION Shi Lu, Irwin King video summarization method that combines video structure analysis and graph optimiza- tion. First, we analyze the structure of the video, find the boundaries of video scenes, then we calculate each scene

  13. Albert R Meyer April 1, 2013 sexgraph.1 Graph Theory

    E-Print Network [OSTI]

    Meyer, Albert R.

    1 Albert R Meyer April 1, 2013 sexgraph.1 Graph Theory & Sex Albert R Meyer April 1, 2013 sexgraph women partners Albert R Meyer April 1, 2013 sexgraph.3 Sex in America: Men more Promiscuous? Studies this is nonsense Albert R Meyer April 1, 2013 sexgraph.4 M partners F Sex Partner Graph #12;2 Albert R Meyer April

  14. An Introduction to Game Trees Ross Casebolt --Graph Theory

    E-Print Network [OSTI]

    Laison, Josh

    Ross Casebolt -- Graph Theory Lobsters vs Caterpillars! #12;What is a game? Definition (Game) A game G Theory Lobsters vs Caterpillars! #12;What is a game? Definition (Game) A game G must satisfy Ross Casebolt -- Graph Theory Lobsters vs Caterpillars! #12;What is a game? Definition (Game) A game G

  15. Scientific Visualization, Seeing the Unseeable

    ScienceCinema (OSTI)

    LBNL

    2009-09-01T23:59:59.000Z

    June 24, 2008 Berkeley Lab lecture: Scientific visualization transforms abstract data into readily comprehensible images, provide a vehicle for "seeing the unseeable," and play a central role in bo... June 24, 2008 Berkeley Lab lecture: Scientific visualization transforms abstract data into readily comprehensible images, provide a vehicle for "seeing the unseeable," and play a central role in both experimental and computational sciences. Wes Bethel, who heads the Scientific Visualization Group in the Computational Research Division, presents an overview of visualization and computer graphics, current research challenges, and future directions for the field.

  16. International energy indicators. [Statistical tables and graphs

    SciTech Connect (OSTI)

    Bauer, E.K. (ed.)

    1980-05-01T23:59:59.000Z

    International statistical tables and graphs are given for the following: (1) Iran - Crude Oil Capacity, Production and Shut-in, June 1974-April 1980; (2) Saudi Arabia - Crude Oil Capacity, Production, and Shut-in, March 1974-Apr 1980; (3) OPEC (Ex-Iran and Saudi Arabia) - Capacity, Production and Shut-in, June 1974-March 1980; (4) Non-OPEC Free World and US Production of Crude Oil, January 1973-February 1980; (5) Oil Stocks - Free World, US, Japan, and Europe (Landed, 1973-1st Quarter, 1980); (6) Petroleum Consumption by Industrial Countries, January 1973-December 1979; (7) USSR Crude Oil Production and Exports, January 1974-April 1980; and (8) Free World and US Nuclear Generation Capacity, January 1973-March 1980. Similar statistical tables and graphs included for the United States include: (1) Imports of Crude Oil and Products, January 1973-April 1980; (2) Landed Cost of Saudi Oil in Current and 1974 Dollars, April 1974-January 1980; (3) US Trade in Coal, January 1973-March 1980; (4) Summary of US Merchandise Trade, 1976-March 1980; and (5) US Energy/GNP Ratio, 1947 to 1979.

  17. Noisy entanglement evolution for graph states

    E-Print Network [OSTI]

    L. Aolita; D. Cavalcanti; R. Chaves; C. Dhara; L. Davidovich; A. Acin

    2011-03-29T23:59:59.000Z

    A general method for the study of the entanglement evolution of graph states under the action of Pauli was recently proposed in [Cavalcanti, et al., Phys. Rev. Lett. 103, 030502 (2009)]. This method is based on lower and upper bounds on the entanglement of the entire state as a function only of the state of a considerably-smaller subsystem, which undergoes an effective noise process. This provides a huge simplification on the size of the matrices involved in the calculation of entanglement in these systems. In the present paper we elaborate on this method in details and generalize it to other natural situations not described by Pauli maps. Specifically, for Pauli maps we introduce an explicit formula for the characterization of the resulting effective noise. Beyond Pauli maps, we show that the same ideas can be applied to the case of thermal reservoirs at arbitrary temperature. In the latter case, we discuss how to optimize the bounds as a function of the noise strength. We illustrate our ideas with explicit exemplary results for several different graphs and particular decoherence processes. The limitations of the method are also discussed.

  18. Knowledge Assisted Visualization Knowledge-assisted visualization of seismic data

    E-Print Network [OSTI]

    for knowledge-assisted annotation and computer-assisted interpretation of seismic data for oil and gas, using seismic interpretation, is performed that makes it fit very naturally into the paradigmKnowledge Assisted Visualization Knowledge-assisted visualization of seismic data Daniel Patel a

  19. Developing visual associations through filmmaking

    E-Print Network [OSTI]

    Shetti, Vishwanand Venkatesh

    2008-10-10T23:59:59.000Z

    .................................................... 9 4.CREATING THE ROADMAP.................................... 11 5.TRAVERSING THE ROADMAP.................................. 12 6.DEVELOPING A HISTORY...................................... 13 7.WITHHOLDING EVENTS... to a visual abstraction of the film’s structure, or a roadmap as I called it. 11 4. CREATING THE ROADMAP Before adding all the details that occupy the world of Discretion, a very basic roadmap was created to visualize the basic decisions...

  20. Comments on "Microscale flow visualization"

    E-Print Network [OSTI]

    A. Kwang-Hua Chu

    2005-10-22T23:59:59.000Z

    We make comments on the presentation of Sinton's paper (Microfluidics and Nanofluidics {\\bf 1}: 2, 2004) about the microscale flow visualization since the effects of the roughness along the microfabricated wall upon the current macroflow visualization methods could be significant and cannot be neglected in microdomain and even nanodomain.

  1. OpenEI | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORTEnergyFarmsPowerKaitianOstsee Wind AG Jump to:OhioDataOpenEI

  2. OpenEI Community - OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympia Green Fuelsper CategoryPresidential Memorandum

  3. Embeddings of Cubic Halin Graphs A Surface-by-Surface Inventory

    E-Print Network [OSTI]

    Gross, Jonathan L.

    Embeddings of Cubic Halin Graphs A Surface-by-Surface Inventory Jonathan L. Gross Columbia@cs.columbia.edu; http://www.cs.columbia.edu/gross/. 1 #12;Embeddings of Cubic Halin Graphs: An Inventory 2 1 graph for a 14-vertex tree with 8 leaves. #12;Embeddings of Cubic Halin Graphs: An Inventory 3

  4. Energy Models for Drawing Signed Graphs Anne-Marie Kermarrec and Afshin Moin

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    by proposing a dual energy model for graphs containing uniquely negative edges, and combining it linearly

  5. PyDecay/GraphPhys: A Unified Language and Storage System for Particle Decay Process Descriptions

    SciTech Connect (OSTI)

    Dunietz, Jesse N.; /MIT /SLAC

    2011-06-22T23:59:59.000Z

    To ease the tasks of Monte Carlo (MC) simulation and event reconstruction (i.e. inferring particle-decay events from experimental data) for long-term BaBar data preservation and analysis, the following software components have been designed: a language ('GraphPhys') for specifying decay processes, common to both simulation and data analysis, allowing arbitrary parameters on particles, decays, and entire processes; an automated visualization tool to show graphically what decays have been specified; and a searchable database storage mechanism for decay specifications. Unlike HepML, a proposed XML standard for HEP metadata, the specification language is designed not for data interchange between computer systems, but rather for direct manipulation by human beings as well as computers. The components are interoperable: the information parsed from files in the specification language can easily be rendered as an image by the visualization package, and conversion between decay representations was implemented. Several proof-of-concept command-line tools were built based on this framework. Applications include building easier and more efficient interfaces to existing analysis tools for current projects (e.g. BaBar/BESII), providing a framework for analyses in future experimental settings (e.g. LHC/SuperB), and outreach programs that involve giving students access to BaBar data and analysis tools to give them a hands-on feel for scientific analysis.

  6. The elliptic dilogarithm for the sunset graph

    E-Print Network [OSTI]

    Spencer Bloch; Pierre Vanhove

    2014-10-24T23:59:59.000Z

    We study the sunset graph defined as the scalar two-point self-energy at two-loop order. We evaluate the sunset integral for all identical internal masses in two dimensions. We give two calculations for the sunset amplitude; one based on an interpretation of the amplitude as an inhomogeneous solution of a classical Picard-Fuchs differential equation, and the other using arithmetic algebraic geometry, motivic cohomology, and Eisenstein series. Both methods use the rather special fact that the amplitude in this case is a family of periods associated to the universal family of elliptic curves over the modular curve X_1(6). We show that the integral is given by an elliptic dilogarithm evaluated at a sixth root of unity modulo periods. We explain as well how this elliptic dilogarithm value is related to the regulator of a class in the motivic cohomology of the universal elliptic family.

  7. Well performance graph simplifies field calculations

    SciTech Connect (OSTI)

    De Ghetto, G.

    1987-05-01T23:59:59.000Z

    Graphic Methods are widely employed in order to understand overall well behavior using only surface parameters. The authors propose a new graphic method, used successfully by Agip for oil and gas wells in Italy, Libya, Nigeria and Tunisia. The well performance graph helps solve many production problems, including estimation of: inflow performance relationship; causes of rate decline throughout well life; and production rate and bottomhole flowing pressure for various pressures upstream of the surface choke, and vice-versa. This method differs from others by using flow behavior through the choke for both critical and subcritical conditions. Equations describing flow through the formation, string and surface choke are also used. Results are quite reliable when these theoretical equations are calibrated with field data, either from the well concerned or from nearby wells producing the same fluid. This article describes the technique as it applies to oil wells. The methodology for gas wells is similar.

  8. Community detection in directed acyclic graphs

    E-Print Network [OSTI]

    Speidel, Leo; Masuda, Naoki

    2015-01-01T23:59:59.000Z

    Some temporal networks, most notably citation networks, are naturally represented as directed acyclic graphs (DAGs). To detect communities in DAGs, we propose a modularity for DAGs by defining an appropriate null model (i.e., randomized network) respecting the order of nodes. We implement a spectral method to approximately maximize the proposed modularity measure and test the method on citation networks and other DAGs. We find that the attained values of the modularity for DAGs are similar for partitions that we obtain by maximizing the proposed modularity (designed for DAGs), the modularity for undirected networks and that for general directed networks. In other words, if we neglect the order imposed on nodes (and the direction of links) in a given DAG and maximize the conventional modularity measure, the obtained partition is close to the optimal one in the sense of the modularity for DAGs.

  9. The Graph Laplacian and the Dynamics of Complex Networks

    SciTech Connect (OSTI)

    Thulasidasan, Sunil [Los Alamos National Laboratory

    2012-06-11T23:59:59.000Z

    In this talk, we explore the structure of networks from a spectral graph-theoretic perspective by analyzing the properties of the Laplacian matrix associated with the graph induced by a network. We will see how the eigenvalues of the graph Laplacian relate to the underlying network structure and dynamics and provides insight into a phenomenon frequently observed in real world networks - the emergence of collective behavior from purely local interactions seen in the coordinated motion of animals and phase transitions in biological networks, to name a few.

  10. Ocean Thermal Extractable Energy Visualization: Final Technical...

    Office of Environmental Management (EM)

    Ocean Thermal Extractable Energy Visualization: Final Technical Report Ocean Thermal Extractable Energy Visualization: Final Technical Report Report about the Ocean Thermal...

  11. Computing the stability number of a graph via semidefinite and ...

    E-Print Network [OSTI]

    2006-04-27T23:59:59.000Z

    then the vertices of G can be numbered so that E(G8) ? E(G ). Thus G8 is the smallest graph G such that ?(1)(G) > ?(G) = 3. We can extend the above reasoning ...

  12. Min-Max Theorems Related to Geometric Representationsof Graphs ...

    E-Print Network [OSTI]

    Marcel K. de Carli Silva and Levent Tuncel

    2011-08-06T23:59:59.000Z

    Oct 27, 2010 ... 1. Introduction. Geometric representations of graphs is a beautiful area where combina- ..... We shall use the following construction to get hypersphere ...... This is not surprising, as SDP duality theory is more complex than LP.

  13. Poster: -Graphs: Flexible Topology Control in Wireless Ad Hoc Networks

    E-Print Network [OSTI]

    Williamson, Carey

    Poster: -Graphs: Flexible Topology Control in Wireless Ad Hoc Networks Ashikur Rahman Department networks. Most algorithms strive to reduce energy consumption by cre- ating a sparse topology with few long of topologies and provides the flexibility to network

  14. The competition number of a graph with exactly two holes

    E-Print Network [OSTI]

    ] as a means of deter- mining the smallest dimension of ecological phase space. Since then, various variations to ecology, the concept of competition graph can be applied to a variety of fields, as summarized in [11

  15. The competition number of a graph with exactly two holes

    E-Print Network [OSTI]

    ] as a means of deter­ mining the smallest dimension of ecological phase space. Since then, various variations to ecology, the concept of competition graph can be applied to a variety of fields, as summarized in [11

  16. Decoding linear codes via optimization and graph-based techniques

    E-Print Network [OSTI]

    Taghavi, Mohammad H.

    2008-01-01T23:59:59.000Z

    2.2.1 Linear Codes on1.1.2 Graph-Based Codes 1.2 Dissertation Overview . . .versus the length of the code for (3,6)-regular LDPC codes (

  17. MacWilliams identities for codes on graphs

    E-Print Network [OSTI]

    Forney, G. David, Jr.

    The MacWilliams identity for linear time-invariant convolutional codes that has recently been found by Gluesing-Luerssen and Schneider is proved concisely, and generalized to arbitrary group codes on graphs. A similar ...

  18. Technology Portfolio Planning by Weighted Graph Analysis of System Architectures

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Technology Portfolio Planning by Weighted Graph Analysis of System Architectures Peter Davison and Bruce Cameron Massachusetts Institute of Technology, Cambridge, MA 02139 Edward F. Crawley Skolkovo Institute of Science and Technology, Skolkovo 143025, Russia Abstract5 Many systems undergo significant

  19. The Asymmetric Traveling Salesman Problem on Graphs with Bounded Genus

    E-Print Network [OSTI]

    Saberi, Amin

    Saberi Abstract We give a constant factor approximation algorithm for the asymmetric traveling salesman:{shayan, saberi}@stanford.edu. 1 #12;Thin trees were first defined in the graph embedding literature in an attempt

  20. Random Walks with Lookahead in Power Law Random Graphs

    E-Print Network [OSTI]

    Mihail, Milena

    1 Random Walks with Lookahead in Power Law Random Graphs Milena Mihail Amin Saberi Prasad Tetali Georgia Institute of Technology Email: mihail, saberiˇ @cc.gatech.edu tetali@math.cc.gatech.edu Abstract

  1. Confluence in Data Reduction: Bridging Graph Transformation and Kernelization

    E-Print Network [OSTI]

    Wichmann, Felix

    Ermel Falk H¨uffner Rolf Niedermeier Olga Runge Institut f¨ur Softwaretechnik und Theoretische of critical pair analysis from graph transformation theory, supported by the AGG software tool. These results

  2. Advanced Vulnerability Analysis and Intrusion Detection Through Predictive Attack Graphs

    E-Print Network [OSTI]

    Noel, Steven

    Advanced Vulnerability Analysis and Intrusion Detection Through Predictive Attack Graphs Steven, without considering how they contribute to overall attack risk. Similarly, intrusion alarms are logged threats, complexity of security data, and network growth. Our approach to network defense applies attack

  3. Modeling modern network attacks and countermeasures using attack graphs

    E-Print Network [OSTI]

    Ingols, Kyle W.

    By accurately measuring risk for enterprise networks, attack graphs allow network defenders to understand the most critical threats and select the most effective countermeasures. This paper describes substantial enhancements ...

  4. Fracture and Fragmentation of Simplicial Finite Elements Meshes using Graphs

    SciTech Connect (OSTI)

    Mota, A; Knap, J; Ortiz, M

    2006-10-18T23:59:59.000Z

    An approach for the topological representation of simplicial finite element meshes as graphs is presented. It is shown that by using a graph, the topological changes induced by fracture reduce to a few, local kernel operations. The performance of the graph representation is demonstrated and analyzed, using as reference the 3D fracture algorithm by Pandolfi and Ortiz [22]. It is shown that the graph representation initializes in O(N{sub E}{sup 1.1}) time and fractures in O(N{sub I}{sup 1.0}) time, while the reference implementation requires O(N{sub E}{sup 2.1}) time to initialize and O(N{sub I}{sup 1.9}) time to fracture, where NE is the number of elements in the mesh and N{sub I} is the number of interfaces to fracture.

  5. Ranking Outlier Nodes in Subspaces of Attributed Graphs

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    . Our graph outlier ranking (GOutRank) introduces scoring functions based on these selected subgraphs by looking at the most promising objects first. They 1http://www.ipd.kit.edu/~muellere/GOutRank/ allow users

  6. Finding structural anomalies in graphs by means of quantum walks

    SciTech Connect (OSTI)

    Feldman, Edgar [Department of Mathematics, Graduate Center of the City University of New York, 365 Fifth Avenue, New York, New York 10016 (United States); Hillery, Mark; Zheng, Hongjun [Department of Physics, Hunter College of the City University of New York, 695 Park Avenue, New York, New York 10021 (United States); Lee, Hai-Woong [Department of Physics, Korea Advanced Institute of Science and Technology, Daejeon 305-701 (Korea, Republic of); Reitzner, Daniel; Buzek, Vladimir [Research Center for Quantum Information, Slovak Academy of Sciences, Dubravska cesta 9, 845 11 Bratislava (Slovakia)

    2010-10-15T23:59:59.000Z

    We explore the possibility of using quantum walks on graphs to find structural anomalies, such as extra edges or loops, on a graph. We focus our attention on star graphs, whose edges are like spokes coming out of a central hub. If there are N spokes, we show that a quantum walk can find an extra edge connecting two of the spokes or a spoke with a loop on it in O({radical}(N)) steps. We initially find that if all except one of the spokes have loops, the walk will not find the spoke without a loop, but this can be fixed if we choose the phase with which the particle is reflected from the vertex without the loop. Consequently, quantum walks can, under some circumstances, be used to find structural anomalies in graphs.

  7. Checking and Comparison of WB-Graphs Peter B. Ladkin

    E-Print Network [OSTI]

    Ladkin, Peter B.

    as a running comparison. These graphs were produced by beginners at WBA, namely students in the first semester. It also caused the trauma death of the co-pilot, as well as the loss of consciousness of a passenger, who

  8. Local computation algorithms for graphs of non-constant degrees

    E-Print Network [OSTI]

    Yodpinyanee, Anak

    2014-01-01T23:59:59.000Z

    In the model of local computation algorithms (LCAs), we aim to compute the queried part of the output by examining only a small (sublinear) portion of the input. Many recently developed LCAs on graph problems achieve time ...

  9. Circuit and bond polytopes on series-parallel graphs$

    E-Print Network [OSTI]

    2014-07-10T23:59:59.000Z

    Jul 10, 2014 ... If G is a non trivial 2-connected series-parallel graph, an open nested ear decomposition ... no interior point of an ear Ei belongs to Ej for all j < i,.

  10. Stirling numbers of graphs, and the normal ordering

    E-Print Network [OSTI]

    Mayfield, John

    Stirling numbers of graphs, and the normal ordering problem Galvin earned his PhD in mathematics correlations in discrete random structures. The Stirling number of the second kind ${n \\brace k}$ counts

  11. On the limiting absorption principle and spectra of quantum graphs

    E-Print Network [OSTI]

    Beng-Seong Ong

    2005-10-10T23:59:59.000Z

    The main result of the article is validity of the limiting absorption principle and thus absence of the singular continuous spectrum for compact quantum graphs with several infinite leads attached. The technique used involves Dirichlet-to-Neumann operators.

  12. Verification of the Accuracy of Sample-Size Equation Calculations for Visual Sample Plan Version 0.9C

    SciTech Connect (OSTI)

    Davidson, James R.

    2001-01-29T23:59:59.000Z

    Visual Sample Plan (VSP) is a software tool being developed to facilitate the design of environmental sampling plans using a site-map visual interface, standard sample-size equations, a variety of sampling grids and random sampling plans, and graphs to visually depict the results to the user. This document provides comparisons between sample sizes calculated by VSP Version 0.9C, and sample sizes calculated by test code written in the S-Plus language. All sample sizes calculated by VSP matched the independently calculated sample sizes. Also the VSP implementation of the ELIGPRID-PC algorithm for hot spot probabilities is shown to match previous results for 100 standard test cases. The Conclusions and Limitations section of this document lists some aspects of VSP that were not tested by this suite of tests and recommends simulation-based enhancements for future versions of VSP.

  13. Discrete Mathematics and Theoretical Computer Science DMTCS vol. 11:2, 2009, 149160 Spectral characterizations of sun graphs and

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    characterizations of sun graphs and broken sun graphs Romain Boulet Institut de Math´ematiques de Toulouse by their spectrum by considering some unicyclic graphs. An odd (resp. even) sun is a graph obtained by appending a pendant vertex to each vertex of an odd (resp. even) cycle. A broken sun is a graph obtained by deleting

  14. Dynamic visualization of data streams

    DOE Patents [OSTI]

    Wong, Pak Chung (Richalnd, WA); Foote, Harlan P. (Richland, WA); Adams, Daniel R. (Kennewick, WA); Cowley, Wendy E. (Richland, WA); Thomas, James J. (Richland, WA)

    2009-07-07T23:59:59.000Z

    One embodiment of the present invention includes a data communication subsystem to receive a data stream, and a data processing subsystem responsive to the data communication subsystem to generate a visualization output based on a group of data vectors corresponding to a first portion of the data stream. The processing subsystem is further responsive to a change in rate of receipt of the data to modify the visualization output with one or more other data vectors corresponding to a second portion of the data stream as a function of eigenspace defined with the group of data vectors. The system further includes a display device responsive to the visualization output to provide a corresponding visualization.

  15. Visualizing DNA What is it?

    E-Print Network [OSTI]

    Rose, Michael R.

    Visualizing DNA #12;What is it? Gel electrophoresis is one of the techniques scientists use to look at the DNA they have. This technique separates DNA by size. #12;How does it work? First a gel is prepared. Gels

  16. JSF AND VISUAL WEB DEVELOPMENT

    E-Print Network [OSTI]

    Liang, Y. Daniel

    JSF AND VISUAL WEB DEVELOPMENT CHAPTER 41 Objectives To explain what JSF is (§41.1). To create/16/09 10:18 AM Page 41­1 #12;41­2 Chapter 41 JSF and Visual Web Development 41.1 Introduction The use of servlets, introduced in Chapter 39, is the foundation of the Java Web technology. It is a primitive way

  17. Data mining and visualization techniques

    DOE Patents [OSTI]

    Wong, Pak Chung (Richland, WA); Whitney, Paul (Richland, WA); Thomas, Jim (Richland, WA)

    2004-03-23T23:59:59.000Z

    Disclosed are association rule identification and visualization methods, systems, and apparatus. An association rule in data mining is an implication of the form X.fwdarw.Y where X is a set of antecedent items and Y is the consequent item. A unique visualization technique that provides multiple antecedent, consequent, confidence, and support information is disclosed to facilitate better presentation of large quantities of complex association rules.

  18. Visual Analytics at the Pacific Northwest

    E-Print Network [OSTI]

    customers. The success of PNNL's information visualization software, such as IN-SPIRETM and StarlightTM, and publications in top visualization journals and conference proceedings are the results of PNNL researchers with a focus on analytical reasoning facilitated by interactive visual interfaces. PNNL's visual analytics team

  19. Noisy entanglement evolution for graph states

    E-Print Network [OSTI]

    Aolita, L; Chaves, R; Dhara, C; Davidovich, L; Acin, A

    2010-01-01T23:59:59.000Z

    A general method for the study of the entanglement evolution of graph states under the action of Pauli was recently proposed in [Cavalcanti, et al., Phys. Rev. Lett. 103, 030502 (2009)]. This method is based on lower and upper bounds on the entanglement of the entire state as a function only of the state of a considerably-smaller subsystem, which undergoes an effective noise process. This provides a huge simplification on the size of the matrices involved in the calculation of entanglement in these systems. In the present paper we elaborate on this method in details and generalize it to other natural situations not described by Pauli maps. Specifically, for Pauli maps we introduce an explicit formula for the characterization of the resulting effective noise. Beyond Pauli maps, we show that the same ideas can be applied to the case of thermal reservoirs at arbitrary temperature. In the latter case, we discuss how to optimize the bounds as a function of the noise strength. We illustrate our ideas with explicit ...

  20. Quantum Vacuum Energy in Graphs and Billiards

    E-Print Network [OSTI]

    L. Kaplan

    2011-01-03T23:59:59.000Z

    The vacuum (Casimir) energy in quantum field theory is a problem relevant both to new nanotechnology devices and to dark energy in cosmology. The crucial question is the dependence of the energy on the system geometry under study. Despite much progress since the first prediction of the Casimir effect in 1948 and its subsequent experimental verification in simple geometries, even the sign of the force in nontrivial situations is still a matter of controversy. Mathematically, vacuum energy fits squarely into the spectral theory of second-order self-adjoint elliptic linear differential operators. Specifically, one promising approach is based on the small-t asymptotics of the cylinder kernel e^(-t sqrt(H)), where H is the self-adjoint operator under study. In contrast with the well-studied heat kernel e^(-tH), the cylinder kernel depends in a non-local way on the geometry of the problem. We discuss some results by the Louisiana-Oklahoma-Texas collaboration on vacuum energy in model systems, including quantum graphs and two-dimensional cavities. The results may shed light on general questions, including the relationship between vacuum energy and periodic or closed classical orbits, and the contribution to vacuum energy of boundaries, edges, and corners.

  1. Visual experience induces long-term potentiation in the primary visual

    E-Print Network [OSTI]

    Cooke, Samuel Frazer

    Stimulus-specific response potentiation (SRP) is a robust form of experience-dependent plasticity that occurs in primary visual cortex. In awake mice, visual evoked potentials (VEPs) recorded in layer 4 of binocular visual ...

  2. Visual Experience Induces Long-Term Potentiation in the Primary Visual Cortex

    E-Print Network [OSTI]

    Cooke, Samuel Frazer

    Stimulus-specific response potentiation (SRP) is a robust form of experience-dependent plasticity that occurs in primary visual cortex. In awake mice, visual evoked potentials (VEPs) recorded in layer 4 of binocular visual ...

  3. Experimental entanglement of six photons in graph states

    E-Print Network [OSTI]

    Chao-Yang Lu; Xiao-Qi Zhou; Otfried Gühne; Wei-Bo Gao; Jin Zhang; Zhen-Sheng Yuan; Alexander Goebel; Tao Yang; Jian-Wei Pan

    2006-09-18T23:59:59.000Z

    Graph states are special kinds of multipartite entangled states that correspond to mathematical graphs where the vertices take the role of quantum spin systems and the edges represent interactions. They not only provide an efficient model to study multiparticle entanglement, but also find wide applications in quantum error correction, multi-party quantum communication and most prominently, serve as the central resource in one-way quantum computation. Here we report the creation of two special instances of graph states, the six-photon Greenberger-Horne-Zeilinger states -- the largest photonic Schr\\"{o}dinger cat, and the six-photon cluster states-- a state-of-the-art one-way quantum computer. Flexibly, slight modifications of our method allow creation of many other graph states. Thus we have demonstrated the ability of entangling six photons and engineering multiqubit graph states, and created a test-bed for investigations of one-way quantum computation and studies of multiparticle entanglement as well as foundational issues such as nonlocality and decoherence.

  4. A graph-based system for network-vulnerability analysis

    SciTech Connect (OSTI)

    Swiler, L.P.; Phillips, C.

    1998-06-01T23:59:59.000Z

    This paper presents a graph-based approach to network vulnerability analysis. The method is flexible, allowing analysis of attacks from both outside and inside the network. It can analyze risks to a specific network asset, or examine the universe of possible consequences following a successful attack. The graph-based tool can identify the set of attack paths that have a high probability of success (or a low effort cost) for the attacker. The system could be used to test the effectiveness of making configuration changes, implementing an intrusion detection system, etc. The analysis system requires as input a database of common attacks, broken into atomic steps, specific network configuration and topology information, and an attacker profile. The attack information is matched with the network configuration information and an attacker profile to create a superset attack graph. Nodes identify a stage of attack, for example the class of machines the attacker has accessed and the user privilege level he or she has compromised. The arcs in the attack graph represent attacks or stages of attacks. By assigning probabilities of success on the arcs or costs representing level-of-effort for the attacker, various graph algorithms such as shortest-path algorithms can identify the attack paths with the highest probability of success.

  5. Random intersection graphs and their applications in security, wireless communication, and social networks

    E-Print Network [OSTI]

    Zhao, Jun; Gligor, Virgil

    2015-01-01T23:59:59.000Z

    Random intersection graphs have received much interest and been used in diverse applications. They are naturally induced in modeling secure sensor networks under random key predistribution schemes, as well as in modeling the topologies of social networks including common-interest networks, collaboration networks, and actor networks. Simply put, a random intersection graph is constructed by assigning each node a set of items in some random manner and then putting an edge between any two nodes that share a certain number of items. Broadly speaking, our work is about analyzing random intersection graphs, and models generated by composing it with other random graph models including random geometric graphs and Erd\\H{o}s-R\\'enyi graphs. These compositional models are introduced to capture the characteristics of various complex natural or man-made networks more accurately than the existing models in the literature. For random intersection graphs and their compositions with other random graphs, we study properties su...

  6. Semi-classical measures on Quantum graphs and the Gau map of the determinant manifold

    E-Print Network [OSTI]

    Recanati, Catherine

    believed that QE does not hold in general for a FIXED quantum graph. This is proved for star graphs in [BKW to what people do in several papers like [BG00, BKW04, BW08, Ba12, BB13]. Let

  7. Math 497E/564 Graph Theory Winter 2012 Instructor Amites Sarkar

    E-Print Network [OSTI]

    Sarkar, Amites

    Math 497E/564 Graph Theory Winter 2012 Instructor Amites Sarkar Text Modern Graph Theory B, in 216 Bond Hall. My phone number is 650 7569 and my e-mail is amites.sarkar@wwu.edu #12;

  8. Visual Engineering | The Ames Laboratory

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening aTurbulenceUtilize AvailableMedia1.1 The Visual Engineering Visual

  9. Fast Search for Dynamic Multi-Relational Graphs

    SciTech Connect (OSTI)

    Choudhury, Sutanay; Holder, Larry; Chin, George; Feo, John T.

    2013-06-23T23:59:59.000Z

    Acting on time-critical events by processing ever growing social media or news streams is a major technical challenge. Many of these data sources can be modeled as multi-relational graphs. Continuous queries or techniques to search for rare events that typically arise in monitoring applications have been studied extensively for relational databases. This work is dedicated to answer the question that emerges naturally: how can we efficiently execute a continuous query on a dynamic graph? This paper presents an exact subgraph search algorithm that exploits the temporal characteristics of representative queries for online news or social media monitoring. The algorithm is based on a novel data structure called the that leverages the structural and semantic characteristics of the underlying multi-relational graph. The paper concludes with extensive experimentation on several real-world datasets that demonstrates the validity of this approach.

  10. Asymptotic structure and singularities in constrained directed graphs

    E-Print Network [OSTI]

    David Aristoff; Lingjiong Zhu

    2015-02-17T23:59:59.000Z

    We study the asymptotics of large directed graphs, constrained to have certain densities of edges and/or outward $p$-stars. Our models are close cousins of exponential random graph models (ERGMs), in which edges and certain other subgraph densities are controlled by parameters. The idea of directly constraining edge and other subgraph densities comes from Radin and Sadun. Such modeling circumvents a phenomenon first made precise by Chatterjee and Diaconis: that in ERGMs it is often impossible to independently constrain edge and other subgraph densities. In all our models, we find that large graphs have either uniform or bipodal structure. When edge density (resp. $p$-star density) is fixed and $p$-star density (resp. edge density) is controlled by a parameter, we find phase transitions corresponding to a change from uniform to bipodal structure. When both edge and $p$-star density are fixed, we find only bipodal structures and no phase transition.

  11. Regular graphs maximize the variability of random neural networks

    E-Print Network [OSTI]

    Gilles Wainrib; Mathieu Galtier

    2014-12-17T23:59:59.000Z

    In this work we study the dynamics of systems composed of numerous interacting elements interconnected through a random weighted directed graph, such as models of random neural networks. We develop an original theoretical approach based on a combination of a classical mean-field theory originally developed in the context of dynamical spin-glass models, and the heterogeneous mean-field theory developed to study epidemic propagation on graphs. Our main result is that, surprisingly, increasing the variance of the in-degree distribution does not result in a more variable dynamical behavior, but on the contrary that the most variable behaviors are obtained in the regular graph setting. We further study how the dynamical complexity of the attractors is influenced by the statistical properties of the in-degree distribution.

  12. An improved spectral graph partitioning algorithm for mapping parallel computations

    SciTech Connect (OSTI)

    Hendrickson, B.; Leland, R.

    1992-09-01T23:59:59.000Z

    Efficient use of a distributed memory parallel computer requires that the computational load be balanced across processors in a way that minimizes interprocessor communication. We present a new domain mapping algorithm that extends recent work in which ideas from spectral graph theory have been applied to this problem. Our generalization of spectral graph bisection involves a novel use of multiple eigenvectors to allow for division of a computation into four or eight parts at each stage of a recursive decomposition. The resulting method is suitable for scientific computations like irregular finite elements or differences performed on hypercube or mesh architecture machines. Experimental results confirm that the new method provides better decompositions arrived at more economically and robustly than with previous spectral methods. We have also improved upon the known spectral lower bound for graph bisection.

  13. Metric intersection problems in Cayley graphs and the Stirling recursion

    E-Print Network [OSTI]

    Phongpattanacharoen, Teeraphong

    2012-01-01T23:59:59.000Z

    In the symmetric group Sym(n) with n at least 5 let H be a conjugacy class of elements of order 2 and let \\Gamma be the Cayley graph whose vertex set is the group G generated by H (so G is Sym(n) or Alt(n)) and whose edge set is determined by H. We are interested in the metric structure of this graph. In particular, for g\\in G let B_{r}(g) be the metric ball in \\Gamma of radius r and centre g. We show that the intersection numbers \\Phi(\\Gamma; r, g):=|\\,B_{r}(e)\\,\\cap\\,B_{r}(g)\\,| are generalized Stirling functions in n and r. The results are motivated by the study of error graphs and related reconstruction problems.

  14. A Taxonomy of Dynamic ATC Visualizations Christophe HURTER, Stphane CONVERSY

    E-Print Network [OSTI]

    A Taxonomy of Dynamic ATC Visualizations Christophe HURTER, Stéphane CONVERSY Abstract-- Air in the interpretation of visualization. Index Terms-- Information Visualization, taxonomy, graphical coding. I

  15. Visually Accurate Multi-Field Weather Visualization Purdue University

    E-Print Network [OSTI]

    Utah, University of

    -dimensional, and involve global scale phenomena. Less commonly, but no less importantly, weather events are examined weather pat- terns, they are ineffective when examining storm scale weather phe- nomena. Two@cs.utah.edu Jason Levit University of Oklahoma jlevit@ou.edu Figure 1: Time Series of a Cloud Scale Visualization

  16. Improving Moments-based Visual Servoing with Tunable Visual Features

    E-Print Network [OSTI]

    Boyer, Edmond

    that are subjects of active research. The first is the design of visual features most pertinent to the robotic task and y rotational motions. With the proposed method, it is possible to design moment invariants to demonstrate the validity of the proposed ideas. Results from each case are then used to design a moment

  17. Graph Applications To know the Seven Bridges of Knigsberg problem and

    E-Print Network [OSTI]

    Liang, Y. Daniel

    the shortest distance between two cities can be modeled using a graph, where the vertices represent cities

  18. Handling Context-Sensitivity in Protein Structures Using Graph Theory: Bona Fide Prediction

    E-Print Network [OSTI]

    Samudrala, Ram

    structure(s).5 METHODS General Description of the Graph-Theoretic Clique-Finding Approach Each possible

  19. Exercise 1: part 1 p Consider the simple web graph shown in slide 72

    E-Print Network [OSTI]

    Ricci, Francesco

    the file and brose the content of the class directory p Transform the input graphs tiny.txt and medium

  20. Approximate Graph Coloring by Semidefinite Programming David Karger \\Lambda Rajeev Motwani y Madhu Sudan z

    E-Print Network [OSTI]

    Sudan z Abstract We consider the problem of coloring k­colorable graphs with the fewest possible colors

  1. Highly Connected Random Geometric Graphs Paul Balister #+ Bela Bollobas +# Amites Sarkar + Mark Walters #

    E-Print Network [OSTI]

    Banaji,. Murad

    Highly Connected Random Geometric Graphs Paul Balister #+ Bâ??ela Bollobâ??as +#§ Amites Sarkar +¶ Mark

  2. A Structure Theory of the Sandpile Monoid for Directed Graphs Laszlo Babai

    E-Print Network [OSTI]

    Babai, László

    A Structure Theory of the Sandpile Monoid for Directed Graphs L´aszl´o Babai Evelin Toumpakari June

  3. Bounds for mixing time of quantum walks on finite graphs

    E-Print Network [OSTI]

    Vladislav Kargin

    2010-07-21T23:59:59.000Z

    Several inequalities are proved for the mixing time of discrete-time quantum walks on finite graphs. The mixing time is defined differently than in Aharonov, Ambainis, Kempe and Vazirani (2001) and it is found that for particular examples of walks on a cycle, a hypercube and a complete graph, quantum walks provide no speed-up in mixing over the classical counterparts. In addition, non-unitary quantum walks (i.e., walks with decoherence) are considered and a criterion for their convergence to the unique stationary distribution is derived.

  4. Leaf-to-leaf distances in Catalan tree graphs

    E-Print Network [OSTI]

    Andrew M. Goldsborough; Jonathan M. Fellows; Matthew Bates; S. Alex Rautu; George Rowlands; Rudolf A. Römer

    2015-03-02T23:59:59.000Z

    We study the average leaf-to-leaf path lengths on ordered Catalan tree graphs with $n$ nodes and show that these are equivalent to the average length of paths starting from the root node. We give an explicit analytic formula for the average leaf-to-leaf path length as a function of separation of the leaves and study its asymptotic properties. At the heart of our method is a strategy based on an abstract graph representation of generating functions which we hope can be useful also in other contexts.

  5. Vacuum Energy and Repulsive Casimir Forces in Quantum Star Graphs

    E-Print Network [OSTI]

    S. A. Fulling; L. Kaplan; J. H. Wilson

    2007-03-27T23:59:59.000Z

    Casimir pistons are models in which finite Casimir forces can be calculated without any suspect renormalizations. It has been suggested that such forces are always attractive, but we present several counterexamples, notably a simple type of quantum graph in which the sign of the force depends upon the number of edges. We also show that Casimir forces in quantum graphs can be reliably computed by summing over the classical orbits, and study the rate of convergence of the periodic orbit expansion. In generic situations where no analytic expression is available, the sign and approximate magnitude of Casimir forces can often be obtained using only the shortest classical orbits.

  6. Message-passing for Inference and Optimization of Real Variables on Sparse Graphs

    E-Print Network [OSTI]

    Wong, Michael K Y

    Message-passing for Inference and Optimization of Real Variables on Sparse Graphs K. Y. Michael with extensive inter-dependencies among the variables, the graph-based models can be solved by passing messages between neighbouring variables on the graphs. This message-passing approach has gained recent success

  7. Rapid Multipole Graph Drawing on the GPU Apeksha Godiyal*, Jared Hoberock*, Michael Garland

    E-Print Network [OSTI]

    Garland, Michael

    Rapid Multipole Graph Drawing on the GPU Apeksha Godiyal*, Jared Hoberock*, Michael Garland task of drawing large graphs. This paper describes a new parallel anal- ysis of the multipole method of graph drawing to support its efficient GPU implementation. We use a variation of the Fast Multipole

  8. THE MATCHING ENERGY OF A GRAPH IVAN GUTMAN AND STEPHAN WAGNER

    E-Print Network [OSTI]

    Wagner, Stephan

    ) was obtained [4, 13, 20], and recalling the definition of graph energy, Eq. (2), we straightforwardly arrive at. Then, (5) ME(G) = n i=1 |µi|. Eq. (5) could be considered as the definition of matching energyTHE MATCHING ENERGY OF A GRAPH IVAN GUTMAN AND STEPHAN WAGNER Abstract. The energy of a graph G

  9. Effective Graph Classification Based on Topological and Label Attributes , Murat Semerci2

    E-Print Network [OSTI]

    Zaki, Mohammed Javeed

    online 12 June 2012 in Wiley Online Library (wileyonlinelibrary.com). Abstract: Graph classificationEffective Graph Classification Based on Topological and Label Attributes Geng Li1 , Murat Semerci2 propose an alternative approach to graph classification that is based on feature vectors constructed from

  10. The smallest k-regular h-edge-connected graphs without , Douglas B. West

    E-Print Network [OSTI]

    West, Douglas B.

    -regular graph with no cut-edge has a 1-factor. This has many generalizations. Showing that every kThe smallest k-regular h-edge-connected graphs without 1-factors John Ganci , Douglas B. West March-regular (k - 1)-edge-connected graph of even order has a 1-factor is a standard elementary exercise (#3

  11. Loops in Reeb Graphs of 2-Manifolds Kree Cole-McLaughlin

    E-Print Network [OSTI]

    Pascucci, Valerio

    -resolution versions of the Reeb graph have lead to data-base search methods for topologically similar geo- metric and scientific data. Specifically, we study Reeb graphs, which express the connectivity of level sets. These graphs have been used in the past to con- struct data structures and user-interfaces for modeling

  12. OpenEI Community

    Open Energy Info (EERE)

    Home All Questions Unanswered Questions Question Post date sort icon Answers how is the growth of the Smart Grid described 22 Apr 2015 - 01:39 1 How do I contribute utility rates...

  13. OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil and GasOff the GridHome All Questions Unanswered

  14. OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympia Green Fuels JumpData+entrepreneur HomeAPIHome

  15. OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer PlantMunhall,Missouri: EnergyExcellenceOfficeOhio: Energy Resourcesen)

  16. The human activity of visualization

    E-Print Network [OSTI]

    Wright, Dawn Jeannine

    Griffin et al 2006 #12;Human-Computer Interaction: Software of the Mind each user has a setThe human activity of visualization cultural and psychological factors in representation; Gibbon 1998; Marcus 2000) conventions and metaphors of Westerners may not hold worldwide colors

  17. VCAT: Visual Crosswalk Analysis Tool

    SciTech Connect (OSTI)

    Cleland, Timothy J. [Los Alamos National Laboratory; Forslund, David W. [Los Alamos National Laboratory; Cleland, Catherine A. [Los Alamos National Laboratory

    2012-08-31T23:59:59.000Z

    VCAT is a knowledge modeling and analysis tool. It was synthesized from ideas in functional analysis, business process modeling, and complex network science. VCAT discovers synergies by analyzing natural language descriptions. Specifically, it creates visual analytic perspectives that capture intended organization structures, then overlays the serendipitous relationships that point to potential synergies within an organization or across multiple organizations.

  18. MULTIVARIATE NONPARAMETRIC REGRESSION AND VISUALIZATION

    E-Print Network [OSTI]

    Klemelä, Jussi

    not be available in electronic format. Library of Congress Cataloging-in-Publication Data: Klemel¨a, Jussi AND CLASSIFICATION 1 Overview of Regression and Classification 3 2 Linear Methods and Extensions 77 3 Kernel Methods Visualization xxi I.4 Literature xxiii PART I METHODS OF REGRESSION AND CLASSIFICATION 1 Overview of Regression

  19. Carbon smackdown: visualizing clean energy

    ScienceCinema (OSTI)

    Juan Meza

    2010-09-01T23:59:59.000Z

    The final Carbon Smackdown match took place Aug. 9, 2010. Juan Meza of the Computational Research Division revealed how scientists use computer visualizations to accelerate climate research and discuss the development of next-generation clean energy technologies such as wind turbines and solar cells.

  20. Carbon smackdown: visualizing clean energy

    SciTech Connect (OSTI)

    Juan Meza

    2010-08-11T23:59:59.000Z

    The final Carbon Smackdown match took place Aug. 9, 2010. Juan Meza of the Computational Research Division revealed how scientists use computer visualizations to accelerate climate research and discuss the development of next-generation clean energy technologies such as wind turbines and solar cells.

  1. Opera in Chinese Visual Culture

    E-Print Network [OSTI]

    Butler, Laurie J.

    PERFORMING IMAGES Opera in Chinese Visual Culture SPRING 2014 ISSUE 3 VOLUME 2 AT THE SMART WINTER/ #12;The Smart Museum of Art at the University of Chicago opens the world through art and ideas this makes it wonderful to live in the city, it also imposes a responsibility that each

  2. Visualizing roadmaps: A design-driven approach

    E-Print Network [OSTI]

    Kerr, Clive; Phaal, Robert

    2015-06-08T23:59:59.000Z

    strategic plans of the Royal Australian Navy using a roadmapping framework as a visual composite canvas. Technology Analysis and Strategic Management 26(1): 1–22. Phaal, R., and Muller, G. 2009. An architectural framework for roadmapping: Towards visual...

  3. Energy Integration Visualization Room (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-08-01T23:59:59.000Z

    This two-page fact sheet describes the new Energy Integration Visualization Room in the ESIF and talks about some of the capabilities and unique visualization features of the the room.

  4. Visualization of Ant Pheromone Based Path Following

    E-Print Network [OSTI]

    Sutherland, Benjamin T.

    2010-07-14T23:59:59.000Z

    for demonstrating how ant colonies gather food. An interactive real time 3D visualization is built on top of the simulation. A graphical user interface layer allows user interaction with the simulation and visualization....

  5. Physics-Based Deformable Tongue Visualization

    E-Print Network [OSTI]

    Guo, Xiaohu "Tiger"

    capture data gathered during speech production. Several novel deformation visualization techniques energy is utilized to provide an intuitive low dimensional visualization for the high dimensional sequential motion. Energy-interpolation-based morphing is also equipped to effectively highlight the subtle

  6. Video Visualization Gareth Daniel Min Chen

    E-Print Network [OSTI]

    Grant, P. W.

    Video Visualization Gareth Daniel Min Chen University of Wales Swansea, UK Abstract Video data, generated by the entertainment industry, security and traffic cameras, video conferencing systems, video a novel methodology for "summarizing" video sequences using volume visualization techniques. We outline

  7. BA in VISUAL ARTS: Illustration Emphasis (488043) MAP Sheet Department of Visual Arts

    E-Print Network [OSTI]

    Olsen Jr., Dan R.

    requirements for admission to this major. Admission to the Department of Visual Arts does not guarantee

  8. BA in VISUAL ARTS: Illustration Emphasis (488043) Map Sheet Department of Visual Arts

    E-Print Network [OSTI]

    Olsen Jr., Dan R.

    requirements for admission to this major. Admission to the Department of Visual Arts does not guarantee

  9. BA in VISUAL ARTS: Studio Arts Emphasis (488045) Map Sheet Department of Visual Arts

    E-Print Network [OSTI]

    Olsen Jr., Dan R.

    requirements for admission to this major. Admission to the Department of Visual Arts does not guarantee

  10. BA in VISUAL ARTS: Studio Arts Emphasis (488045) MAP Sheet Department of Visual Arts

    E-Print Network [OSTI]

    Olsen Jr., Dan R.

    requirements for admission to this major. Admission to the Department of Visual Arts does not guarantee

  11. BA in VISUAL ARTS: Photography Emphasis (488044) MAP Sheet Department of Visual Arts

    E-Print Network [OSTI]

    Olsen Jr., Dan R.

    requirements for admission to this major. Admission to the Department of Visual Arts does not guarantee

  12. BA in VISUAL ARTS: Photography Emphasis (488044) Map Sheet Department of Visual Arts

    E-Print Network [OSTI]

    Olsen Jr., Dan R.

    requirements for admission to this major. Admission to the Department of Visual Arts does not guarantee

  13. Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind

    E-Print Network [OSTI]

    Rattray, Magnus

    Prediction of visual perceptions with artificial neural networks in a visual prosthesis. Introduction The European project OPTIVIP (Optimisation of the Visual Implantable Prosthesis) has recently been based visual prosthesis in order to restore partial vision to the blind. In this paper, an attempt

  14. Visualization Fusion: Hurricane Isabel Dataset Naeem Shareef

    E-Print Network [OSTI]

    Crawfis, Roger

    Visualization Fusion: Hurricane Isabel Dataset Ming Jiang Naeem Shareef Caixia Zhang Roger Crawfis in developing visualization techniques for the Hurricane Isabel dataset is to engender better understand- ing of the underlying physical phenomenon. We want the visualization to produce novel insights into how a hurricane

  15. Visual Attention: Light Enters the Jochen Braun

    E-Print Network [OSTI]

    Braun, Jochen

    Visual Attention: Light Enters the Jungle Jochen Braun Recent studies focusing on basic visual-perceptual processing that awareness entails -- short-term memory, percep- tual decisions, voluntary responses and so time. The coaxing was done by a visual search near fixation, which the observer was obliged to carry

  16. Breakdown Visualization: Multiple Foci Polyarchies of Values and Attributes

    E-Print Network [OSTI]

    breakdown visualization, financial visualization, polyarchy structure, multiple foci, visual decompositionBreakdown Visualization: Multiple Foci Polyarchies of Values and Attributes Sandeep Prabhakar Department of Computer Science Virginia Polytechnic Institute and State University Blacksburg, VA 24061

  17. Nevada Bureau of Mines and Geology Open-File Report 12-3: Data...

    Open Energy Info (EERE)

    Mines and Geology Open-File Report 12-3: Data Tables and graphs of geothermal power production in Nevada 1985-2011, 2012 Jump to: navigation, search OpenEI Reference LibraryAdd to...

  18. Tighter Bounds for Graph Steiner Tree Approximation Gabriel Robins

    E-Print Network [OSTI]

    Zelikovsky, Alexander

    of Computer Science, University of Virginia, Charlottesville, VA 22904 robins@cs.virginia.edu, www.cs.virginia of 1.28 within time O(mn2) (m and n are the numbers of terminals and non-terminals in the graph

  19. Synchronization Helps Robots to Detect Black Holes in Directed Graphs

    E-Print Network [OSTI]

    Pinotti, Maria Cristina

    nodes are the so called black hole nodes, and once a robot enters in one of them, it is destroyed supported by the Italian CNR Short-Term Mobility Program. #12;1 Introduction The subject of exploring that destroy any entering entity. Such nodes are called black holes, and the exploration of a graph

  20. The TROPOS Analysis Process as Graph Transformation System Paolo Bresciani

    E-Print Network [OSTI]

    Trento-Povo, Italy Abstract Tropos is an agent-oriented methodology that covers soft- ware developmentThe TROPOS Analysis Process as Graph Transformation System Paolo Bresciani ITC-irst via Sommarive of the operational environment of the new software system. In earlier work we have characterized the process of early

  1. Approximating the Diameter of Planar Graphs in Near Linear Time

    E-Print Network [OSTI]

    Yuster, Raphael

    common starting vertex. Let Gin (resp. Gout) be the subgraph of G induced by C and all interior (resp. exterior) vertices to C. Let d(Gin, Gout, G) denote the largest distance in the graph G between a marked vertex in V (Gin) and a marked vertex in V (Gout). In the beginning, all vertices of G are marked and we

  2. Quantitative Analysis of the Full Bitcoin Transaction Graph

    E-Print Network [OSTI]

    Quantitative Analysis of the Full Bitcoin Transaction Graph Dorit Ron and Adi Shamir Department.ron,adi.shamir}@weizmann.ac.il Abstract. The Bitcoin scheme is a rare example of a large scale global payment system in which all and how they spend their bitcoins, the balance of bitcoins they keep in their accounts, and how they move

  3. A spectral graph based approach to analyze hyperspectral data

    E-Print Network [OSTI]

    Bertozzi, Andrea L.

    A spectral graph based approach to analyze hyperspectral data Blake Hunter Department of Mathematics, UCLA 520 Portola Plaza Los Angeles, CA 90095 Email: blakehunter@math.ucla.edu Yifei Lou Department of Mathematics, UCLA 520 Portola Plaza Los Angeles, CA 90095 Email: bertozzi

  4. Brain Mapping Using Topology Graphs Obtained by Surface Segmentation

    E-Print Network [OSTI]

    Linsen, Lars

    Brain Mapping Using Topology Graphs Obtained by Surface Segmentation Fabien Vivodtzev1 , Lars@ucdavis.edu Summary. Brain mapping is a technique used to alleviate the tedious and time- consuming process of annotating brains by mapping existing annotations from brain atlases to individual brains. We introduce

  5. Asymmetric Structure-Preserving Subgraph Queries for Large Graphs

    E-Print Network [OSTI]

    Choi, Byron "Koon Kau"

    Asymmetric Structure-Preserving Subgraph Queries for Large Graphs Zhe Fan1 Byron Choi1 Jianliang Xu the novel cyclic group based encryption so that query processing is transformed into a series of private are effective. I. INTRODUCTION Subgraph queries (via subgraph isomorphism) are a fun- damental and powerful

  6. A Simple Approach to Abductive Inference using Conceptual Graphs

    E-Print Network [OSTI]

    Pagnucco, Maurice

    A Simple Approach to Abductive Inference using Conceptual Graphs Maurice Pagnucco Knowledge Systems, Australia. email: morri@cs.su.oz.au fax : +61­2­692­3838 Abstract Abductive reasoning (or simply abduction) is a form of logical in­ ference that aims to derive plausible explanations for data. The term ``abduction

  7. A Numerical Optimization Approach to General Graph Drawing

    E-Print Network [OSTI]

    Paul Heckbert Bruce Maggs Omar Ghattas, Civil and Environmental Engineering Mark Wegman, IBM T . J Maggs, and Mark Wegman. I am especially grateful that they allowed me to pursue a dissertation. I owe my interest in graph drawing to Mark Wegman, who introduced me to the area when I was an MIT

  8. Unicyclic graphs with large energy Eric Ould Dadah Andriantiana 1

    E-Print Network [OSTI]

    Wagner, Stephan

    of Mathematical Sciences Mathematics Division Stellenbosch University Private Bag X1, Matieland 7602 South Africa work supported by the National Research Foundation of South Africa under grant number 70560. PreprintUnicyclic graphs with large energy Eric Ould Dadah Andriantiana 1 and Stephan Wagner 2 Department

  9. Spectral Decision Diagrams Using Graph Transformations Mitchell Thornton Rolf Drechsler

    E-Print Network [OSTI]

    Thornton, Mitchell

    Spectral Decision Diagrams Using Graph Transformations #3; Mitchell Thornton Rolf Drechsler Department of Electrical and Computer Engineering Siemens AG Mississippi State University Corporate Technology Mississippi State, MS 39762 81730 Munich, Germany mitch@ece.msstate.edu rolf.drechsler@mchp.siemens

  10. Table of Contents Part 1: Climate Graphs Activity

    E-Print Network [OSTI]

    . Quantity. How much precipitation falls? What is the general trend east to west in Texas concerningTable of Contents Part 1: Climate Graphs Activity Part 2: Texas Climate Handout Maps for transparencies: a. Texas Average Annual Temperature b. Texas Average Annual Precipitation c. Texas Climate

  11. An Approach to Security Policy Configuration Using Semantic Threat Graphs

    E-Print Network [OSTI]

    Foley, Simon

    An Approach to Security Policy Configuration Using Semantic Threat Graphs Simon N. Foley, in turn, unnecessarily expose the enterprise to known threats. This paper pro- poses a threat management- nomic configuration of security mechanisms. This knowledge is mod- eled in terms of Semantic Threat

  12. Insider Threat Detection using Stream Mining and Graph Mining

    E-Print Network [OSTI]

    Hamlen, Kevin W.

    Insider Threat Detection using Stream Mining and Graph Mining Pallabi Parveen, Jonathan Evans threats who attempt to conceal their activities by varying their behaviors over time. This paper applies of insider threat detection, demonstrating that the ensemble-based approach is significantly more effective

  13. Decentralized Semantic Threat Graphs Simon N. Foley1

    E-Print Network [OSTI]

    Foley, Simon

    Decentralized Semantic Threat Graphs Simon N. Foley1 William M. Fitzgerald1 Cork Constraint.foley@cs.ucc.ie wfitzgerald@4c.ucc.ie Abstract. Threat knowledge-bases such as those maintained by MITRE and NIST provide a basis with which to mitigate known threats to an enterprise. These centralised knowledge-bases assume

  14. Weighted Graph Cuts without Eigenvectors: A Multilevel Approach

    E-Print Network [OSTI]

    to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main different methods--in particular, a general weighted kernel k-means objective is mathematically equivalent multilevel algorithm removes this restriction by using kernel k-means to optimize weighted graph cuts

  15. Graph Based K-Means Clustering Laurent Galluccioa,c

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Graph Based K-Means Clustering Laurent Galluccioa,c , Olivier Michelb , Pierre Comona , Alfred O the generalized Lloyd algorithm, also known as k-means, which circumvents its well known initialization problems for estimating of the number of clusters present and determining good centroid locations to initialize the k-means

  16. Mining Large Graphs And Streams Using Matrix And Tensor Tools

    E-Print Network [OSTI]

    Kolda, Tamara G.

    RESULTS The graphs at right show overall variability distribution estimated for the Pentium D 800 where a core no longer works properly. In the Sun T1 Niagara cores this is done with a built-in- self processors we record the temperature at which the failure occurred and adjust to the frequencies

  17. Math 304 Handout: Linear algebra, graphs, and networks.

    E-Print Network [OSTI]

    Anshelevich, Michael

    . · The World Wide Web is a directed graph, with web pages as vertices and links as edges. · Towns connected on the web, all the words that they contain. Again, an efficient way to do this is using a (very, very large) matrix. Each column corresponds to a web page, each row to a word, and each entry is 1 if a particular

  18. A SPATIAL WEB GRAPH MODEL WITH LOCAL INFLUENCE REGIONS

    E-Print Network [OSTI]

    Pralat, Pawel

    mining technique, web pages are often represented as vectors in a word-document space. Using LatentA SPATIAL WEB GRAPH MODEL WITH LOCAL INFLUENCE REGIONS W. AIELLO, A. BONATO, C. COOPER, J. JANSSEN-degree distribution, with exponent in [2, ) depending on the parameters, and with concentration for a wide range of in

  19. Towards Efficient Query Processing on Massive Time-Evolving Graphs

    E-Print Network [OSTI]

    Miller, John A.

    Email: {ar, ara, laks, jam}@cs.uga.edu Abstract--Time evolving graph (TEG) is increasingly being used on massive TEGs is central to building powerful analytic applications for these domains. Unfortunately effective for processing massive TEGs. Towards designing scalable mechanisms for answering TEG queries

  20. Distanceregular graphs having an eigenvalue of small multiplicity

    E-Print Network [OSTI]

    Martin, Bill

    , results of Godsil [12] and Terwilliger [19], to allow computer generation of all feasible intesection of Godsil and Terwilliger and on results in this paper, we now have the diameter bound d Ÿ 3m \\Gamma 8 for m of graph representa­ tions is outlined, theorems of Godsil and Terwilliger are stated and several

  1. On the edgeconnectivity of Cartesian product graphs # Sandi Klavzar

    E-Print Network [OSTI]

    Klavzar, Sandi

    edge cut of G#H, then either S is induced by a minimum edge cut of a factor, or S is a set of edges is given and the structure of minimum edge cuts is described. It is also proved that the connectivity product of graphs; edge­connectivity; minimum edge cuts; AMS subject classification (2000): 05C40 1

  2. Spectra of graphs and semi-conducting polymers

    E-Print Network [OSTI]

    Philipp Schapotschnikow; Sven Gnutzmann

    2008-02-04T23:59:59.000Z

    We study the band gap in some semi-conducting polymers with two models: H\\"uckel molecular orbital theory and the so-called free electron model. The two models are directly related to spectral theory on combinatorial and metric graphs.

  3. Secret sharing schemes on graphs L aszl o Csirmaz

    E-Print Network [OSTI]

    Csirmaz, László

    Secret sharing schemes on graphs L#19;aszl#19;o Csirmaz Mathematical Institute of the Hungarian secret sharing scheme based on G is a method to distribute a secret data among the vertices of G, the participants, so that a subset of participants can recover the secret if they contain an edge of G, otherwise

  4. On Linear Secret Sharing for Connectivity in Directed Graphs

    E-Print Network [OSTI]

    Beimel, Amos

    On Linear Secret Sharing for Connectivity in Directed Graphs Amos Beimel 1 and Anat Paskin 2 1 Dept, Israel. Abstract. In this work we study linear secret sharing schemes for s­t connectivity in directed.e., edges) can reconstruct the secret if it contains a path from node s to node t. We prove that in every

  5. On Linear Secret Sharing for Connectivity in Directed Graphs

    E-Print Network [OSTI]

    Beimel, Amos

    On Linear Secret Sharing for Connectivity in Directed Graphs Amos Beimel1 and Anat Paskin2 1 Dept, Israel. Abstract. In this work we study linear secret sharing schemes for s-t connectivity in directed.e., edges) can reconstruct the secret if it contains a path from node s to node t. We prove that in every

  6. (Co)Algebraic Characterizations of Signal Flow Graphs

    E-Print Network [OSTI]

    Rutten, Jan

    Signal flow graphs are a graphical representation for the analysis, modeling and evaluation of linear as a linear combination of the input and the registers. That is, the dynamics of a circuit can be expressed as a system of linear of equations, one for each register. Since we consider open circuits, the corresponding

  7. THE GROUP OF SYMMETRIES OF THE TOWER OF HANOI GRAPH

    E-Print Network [OSTI]

    Behrstock, Jason

    THE GROUP OF SYMMETRIES OF THE TOWER OF HANOI GRAPH SO EUN PARK The classical Tower of Hanoi puzzle the tower of disks to another peg, moving one topmost disk at a time while never stacking a disk referred to as the Tower of Hanoi problem. Figure 1. Convention for labeling k pegs and n disks

  8. A graph-based network-vulnerability analysis system

    SciTech Connect (OSTI)

    Swiler, L.P.; Phillips, C.; Gaylor, T.

    1998-05-03T23:59:59.000Z

    This paper presents a graph based approach to network vulnerability analysis. The method is flexible, allowing analysis of attacks from both outside and inside the network. It can analyze risks to a specific network asset, or examine the universe of possible consequences following a successful attack. The analysis system requires as input a database of common attacks, broken into atomic steps, specific network configuration and topology information, and an attacker profile. The attack information is matched with the network configuration information and an attacker profile to create a superset attack graph. Nodes identify a stage of attack, for example the class of machines the attacker has accessed and the user privilege level he or she has compromised. The arcs in the attack graph represent attacks or stages of attacks. By assigning probabilities of success on the arcs or costs representing level of effort for the attacker, various graph algorithms such as shortest path algorithms can identify the attack paths with the highest probability of success.

  9. A graph-based network-vulnerability analysis system

    SciTech Connect (OSTI)

    Swiler, L.P.; Phillips, C. [Sandia National Labs., Albuquerque, NM (United States); Gaylor, T. [3M, Austin, TX (United States). Visual Systems Div.

    1998-01-01T23:59:59.000Z

    This report presents a graph-based approach to network vulnerability analysis. The method is flexible, allowing analysis of attacks from both outside and inside the network. It can analyze risks to a specific network asset, or examine the universe of possible consequences following a successful attack. The analysis system requires as input a database of common attacks, broken into atomic steps, specific network configuration and topology information, and an attacker profile. The attack information is matched with the network configuration information and an attacker profile to create a superset attack graph. Nodes identify a stage of attack, for example the class of machines the attacker has accessed and the user privilege level he or she has compromised. The arcs in the attack graph represent attacks or stages of attacks. By assigning probabilities of success on the arcs or costs representing level-of-effort for the attacker, various graph algorithms such as shortest-path algorithms can identify the attack paths with the highest probability of success.

  10. Using Battery Level as Metric for Graph Planarization Jovan Radak, Nathalie Mitton, and David Simplot-Ryl

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    only a subset of its neighborhood by keeping connectivity. Then, a node adjusts its range for scalability and energy efficiency. It is often based on graph reduction performed through the use of Gabriel Graph or Relative Neighborhood Graph. This graph reduction is usually based on geometric values

  11. Constructing and sampling graphs with a given joint degree distribution.

    SciTech Connect (OSTI)

    Pinar, Ali; Stanton, Isabelle (UC Berkeley)

    2010-09-01T23:59:59.000Z

    One of the most influential recent results in network analysis is that many natural networks exhibit a power-law or log-normal degree distribution. This has inspired numerous generative models that match this property. However, more recent work has shown that while these generative models do have the right degree distribution, they are not good models for real life networks due to their differences on other important metrics like conductance. We believe this is, in part, because many of these real-world networks have very different joint degree distributions, i.e. the probability that a randomly selected edge will be between nodes of degree k and l. Assortativity is a sufficient statistic of the joint degree distribution, and it has been previously noted that social networks tend to be assortative, while biological and technological networks tend to be disassortative. We suggest understanding the relationship between network structure and the joint degree distribution of graphs is an interesting avenue of further research. An important tool for such studies are algorithms that can generate random instances of graphs with the same joint degree distribution. This is the main topic of this paper and we study the problem from both a theoretical and practical perspective. We provide an algorithm for constructing simple graphs from a given joint degree distribution, and a Monte Carlo Markov Chain method for sampling them. We also show that the state space of simple graphs with a fixed degree distribution is connected via end point switches. We empirically evaluate the mixing time of this Markov Chain by using experiments based on the autocorrelation of each edge. These experiments show that our Markov Chain mixes quickly on real graphs, allowing for utilization of our techniques in practice.

  12. LDRD final report : first application of geospatial semantic graphs to SAR image data.

    SciTech Connect (OSTI)

    Brost, Randolph C.; McLendon, William Clarence,

    2013-01-01T23:59:59.000Z

    Modeling geospatial information with semantic graphs enables search for sites of interest based on relationships between features, without requiring strong a priori models of feature shape or other intrinsic properties. Geospatial semantic graphs can be constructed from raw sensor data with suitable preprocessing to obtain a discretized representation. This report describes initial work toward extending geospatial semantic graphs to include temporal information, and initial results applying semantic graph techniques to SAR image data. We describe an efficient graph structure that includes geospatial and temporal information, which is designed to support simultaneous spatial and temporal search queries. We also report a preliminary implementation of feature recognition, semantic graph modeling, and graph search based on input SAR data. The report concludes with lessons learned and suggestions for future improvements.

  13. A Simple Method for Finding the Scattering Coefficients of Quantum Graphs

    E-Print Network [OSTI]

    Seth S. Cottrell

    2015-03-01T23:59:59.000Z

    Quantum walks are roughly analogous to classical random walks, and like classical walks they have been used to find new (quantum) algorithms. When studying the behavior of large graphs or combinations of graphs it is useful to find the response of a subgraph to signals of different frequencies. In so doing we can replace an entire subgraph with a single vertex with frequency dependent scattering coefficients. In this paper a simple technique for quickly finding the scattering coefficients of any quantum graph will be presented. These scattering coefficients can be expressed entirely in terms of the characteristic polynomial of the graph's time step operator. Moreover, with these in hand we can easily derive the "impulse response" which is the key to predicting the response of a graph to any signal. This gives us a powerful set of tools for rapidly understanding the behavior of graphs or for reducing a large graph into its constituent subgraphs regardless of how they are connected.

  14. A Mathematical Analysis of the R-MAT Random Graph Generator

    SciTech Connect (OSTI)

    Groer, Christopher S [ORNL; Sullivan, Blair D [ORNL; Poole, Stephen W [ORNL

    2011-01-01T23:59:59.000Z

    The R-MAT graph generator introduced by Chakrabarti, Faloutsos, and Zhan offers a simple, fast method for generating very large directed graphs. These properties have made it a popular choice as a method of generating graphs for objects of study in a variety of disciplines, from social network analysis to high performance computing. We analyze the graphs generated by R-MAT and model the generator in terms of occupancy problems in order to prove results about the degree distributions of these graphs. We prove that the limiting degree distributions can be expressed as a mixture of normal distributions, contradicting the widely held belief that R-MAT degree distributions exhibit the power law or scale free distribution observed in many real world graphs. Additionally, this paper offers an efficient computational technique for computing the exact degree distribution, as well as concise expressions for a number of properties of R-MAT graphs.

  15. M&Ms4Graphs: Multi-scale, Multi-dimensional Graph Analytics Tools for Cyber-Security

    E-Print Network [OSTI]

    . "Statistical and Hierarchical Graph Analysis for Cyber Security." SIAM Conference on Discrete Mathematics effort is made possible by the Pacific Northwest National Laboratory through funding provided by the U.S. Department of Energy. For more information on the science you see here, please contact: Sutanay Choudhury

  16. Visualization drivers for Geant4

    SciTech Connect (OSTI)

    Beretvas, Andy; /Fermilab

    2005-10-01T23:59:59.000Z

    This document is on Geant4 visualization tools (drivers), evaluating pros and cons of each option, including recommendations on which tools to support at Fermilab for different applications. Four visualization drivers are evaluated. They are OpenGL, HepRep, DAWN and VRML. They all have good features, OpenGL provides graphic output without an intermediate file. HepRep provides menus to assist the user. DAWN provides high quality plots and even for large files produces output quickly. VRML uses the smallest disk space for intermediate files. Large experiments at Fermilab will want to write their own display. They should proceed to make this display graphics independent. Medium experiment will probably want to use HepRep because of it's menu support. Smaller scale experiments will want to use OpenGL in the spirit of having immediate response, good quality output and keeping things simple.

  17. SciDAC Institute for Ultrascale Visualization

    SciTech Connect (OSTI)

    Humphreys, Grigori R.

    2008-09-30T23:59:59.000Z

    The Institute for Ultrascale Visualization aims to address visualization needs of SciDAC science domains, including research topics in advanced scientific visualization architectures, algorithms, and interfaces for understanding large, complex datasets. During the current project period, the focus of the team at the University of Virginia has been interactive remote rendering for scientific visualization. With high-performance computing resources enabling increasingly complex simulations, scientists may desire to interactively visualize huge 3D datasets. Traditional large-scale 3D visualization systems are often located very close to the processing clusters, and are linked to them with specialized connections for high-speed rendering. However, this tight coupling of processing and display limits possibilities for remote collaboration, and prohibits scientists from using their desktop workstations for data exploration. In this project, we are developing a client/server system for interactive remote 3D visualization on desktop computers.

  18. Cognitive Foundations for Visual Analytics

    SciTech Connect (OSTI)

    Greitzer, Frank L.; Noonan, Christine F.; Franklin, Lyndsey

    2011-02-25T23:59:59.000Z

    In this report, we provide an overview of scientific/technical literature on information visualization and VA. Topics discussed include an update and overview of the extensive literature search conducted for this study, the nature and purpose of the field, major research thrusts, and scientific foundations. We review methodologies for evaluating and measuring the impact of VA technologies as well as taxonomies that have been proposed for various purposes to support the VA community. A cognitive science perspective underlies each of these discussions.

  19. SUBSURFACE VISUAL ALARM SYSTEM ANALYSIS

    SciTech Connect (OSTI)

    D.W. Markman

    2001-08-06T23:59:59.000Z

    The ''Subsurface Fire Hazard Analysis'' (CRWMS M&O 1998, page 61), and the document, ''Title III Evaluation Report for the Surface and Subsurface Communication System'', (CRWMS M&O 1999a, pages 21 and 23), both indicate the installed communication system is adequate to support Exploratory Studies Facility (ESF) activities with the exception of the mine phone system for emergency notification purposes. They recommend the installation of a visual alarm system to supplement the page/party phone system The purpose of this analysis is to identify data communication highway design approaches, and provide justification for the selected or recommended alternatives for the data communication of the subsurface visual alarm system. This analysis is being prepared to document a basis for the design selection of the data communication method. This analysis will briefly describe existing data or voice communication or monitoring systems within the ESF, and look at how these may be revised or adapted to support the needed data highway of the subsurface visual alarm. system. The existing PLC communication system installed in subsurface is providing data communication for alcove No.5 ventilation fans, south portal ventilation fans, bulkhead doors and generator monitoring system. It is given that the data communication of the subsurface visual alarm system will be a digital based system. It is also given that it is most feasible to take advantage of existing systems and equipment and not consider an entirely new data communication system design and installation. The scope and primary objectives of this analysis are to: (1) Briefly review and describe existing available data communication highways or systems within the ESF. (2) Examine technical characteristics of an existing system to disqualify a design alternative is paramount in minimizing the number of and depth of a system review. (3) Apply general engineering design practices or criteria such as relative cost, and degree of difficulty and complexity in determining requirements in adapting existing data communication highways to support the subsurface visual alarm system. These requirements would include such things as added or new communication cables, added Programmable Logic Controller (PLC), Inputs and Outputs (I/O), and communication hardware components, and human machine interfaces and their software operating system. (4) Select the best data communication highway system based on this review of adapting or integrating with existing data communication systems.

  20. A Graph Analytic Metric for Mitigating Advanced Persistent Threat

    SciTech Connect (OSTI)

    Johnson, John R.; Hogan, Emilie A.

    2013-06-04T23:59:59.000Z

    This paper introduces a novel graph analytic metric that can be used to measure the potential vulnerability of a cyber network to specific types of attacks that use lateral movement and privilege escalation such as the well known Pass The Hash, (PTH). The metric is computed from an oriented subgraph of the underlying cyber network induced by selecting only those edges for which a given property holds between the two vertices of the edge. The metric with respect to a select node on the subgraph is defined as the likelihood that the select node is reachable from another arbitrary node in the graph. This metric can be calculated dynamically from the authorization and auditing layers during the network security authorization phase and will potentially enable predictive deterrence against attacks such as PTH.

  1. A characterization of Q-polynomial distance-regular graphs

    E-Print Network [OSTI]

    Jurisic, Aleksandar; Zitnik, Arjana

    2009-01-01T23:59:59.000Z

    We obtain the following characterization of $Q$-polynomial distance-regular graphs. Let $\\G$ denote a distance-regular graph with diameter $d\\ge 3$. Let $E$ denote a minimal idempotent of $\\G$ which is not the trivial idempotent $E_0$. Let $\\{\\theta_i^*\\}_{i=0}^d$ denote the dual eigenvalue sequence for $E$. We show that $E$ is $Q$-polynomial if and only if (i) the entry-wise product $E \\circ E$ is a linear combination of $E_0$, $E$, and at most one other minimal idempotent of $\\G$; (ii) there exists a complex scalar $\\beta$ such that $\\theta^*_{i-1}-\\beta \\theta^*_i + \\theta^*_{i+1}$ is independent of $i$ for $1 \\le i \\le d-1$; (iii) $\\theta^*_i \

  2. Qubits from Adinkra Graph Theory via Colored Toric Geometry

    E-Print Network [OSTI]

    Aadel, Y; Benslimane, Z; Sedra, M B; Segui, A

    2015-01-01T23:59:59.000Z

    We develop a new approach to deal with qubit information systems using toric geometry and its relation to Adinkra graph theory. More precisely, we link three different subjects namely toric geometry, Adinkras and quantum information theory. This one to one correspondence may be explored to attack qubit system problems using geometry considered as a powerful tool to understand modern physics including string theory. Concretely, we examine in some details the cases of one, two, and three qubits, and we find that they are associated with \\bf CP^1, \\bf CP^1\\times CP^1 and \\bf CP^1\\times CP^1\\times CP^1 toric varieties respectively. Using a geometric procedure referred to as colored toric geometry, we show that the qubit physics can be converted into a scenario handling toric data of such manifolds by help of Adinkra graph theory. Operations on toric information can produce universal quantum gates.

  3. Spectral properties of microwave graphs with local absorption

    E-Print Network [OSTI]

    M. Allgaier; S. Gehler; S. Barkhofen; H. -J. Stöckmann; U. Kuhl

    2014-03-30T23:59:59.000Z

    The influence of absorption on the spectra of microwave graphs has been studied experimentally. The microwave networks were made up of coaxial cables and T junctions. First, absorption was introduced by attaching a 50 Ohm load to an additional vertex for graphs with and without time-reversal symmetry. The resulting level-spacing distributions were compared with a generalization of the Wigner surmise in the presence of open channels proposed recently by Poli et al. [Phys. Rev. Lett. 108, 174101 (2012)]. Good agreement was found using an effective coupling parameter. Second, absorption was introduced along one individual bond via a variable microwave attenuator, and the influence of absorption on the length spectrum was studied. The peak heights in the length spectra corresponding to orbits avoiding the absorber were found to be independent of the attenuation, whereas, the heights of the peaks belonging to orbits passing the absorber once or twice showed the expected decrease with increasing attenuation.

  4. Deciding Graph MSO Properties: Has it all been told already?

    E-Print Network [OSTI]

    Gajarský, Jakub

    2012-01-01T23:59:59.000Z

    A famous result of Courcelle claims that on graphs of bounded tree-width extensions for the MSO1 case are presented also in [Ganian, IPEC2011]. We take a general approach, proving that the MSO model-checking problem admits an FPT algorithm with an elementary dependence on the formula on all classes of trees of bounded height. This result, via standard logic interpretation, implies that all MSO2 properties \\phi are decidable in FPT with an elemen...

  5. Connection probability for random graphs with given degree sequence

    E-Print Network [OSTI]

    Xinping Xu

    2007-08-20T23:59:59.000Z

    Recently, the classical configuration model for random graphs with given degree distribution has been extensively used as a null model in contraposition to real networks with the same degree distribution. In this paper, we briefly review the applications of this model and derive analytical expression for connection probability by the expanding coefficient method. We also use our expanding coefficient method to obtain the connection probability for the directed configuration model.

  6. A Spatiotemporal Graph Model for Rainfall Event Identification and Representation

    E-Print Network [OSTI]

    Liu, Weibo

    2014-04-21T23:59:59.000Z

    of a storm ? The spread of a wildfire ? Other dynamic geographic phenomena from time series of snapshot datasets 3Research Objectives Identify the whole lifecycle of rainstorms from time series of snapshot datasets; Represent and analyze the rainstorms... based on a spatiotemporal graph model; Analyze the spatiotemporal characteristics of rainstorms. Data ? NEXRAD (Next generation Radar) ? Hourly precipitation estimate ? Cover more than 2/3 of the nation Rainstorms’ Lifecycle Identification Delineate...

  7. Visualizing Twenty Years of Applications

    SciTech Connect (OSTI)

    Potel, Mike; Wong, Pak C.

    2014-11-01T23:59:59.000Z

    This issue of IEEE Computer Graphics and Applications marks the 20th anniversary of the Applications department as a regular feature of the magazine. We thought it might be interesting to look back at the 20 years of Applications department articles to assess its evolution over that time. By aggregating all twenty years of articles and applying a little statistical and visual analytics, we’ve uncovered some interesting characteristics and trends we thought we’d share to mark this 20 year milestone.

  8. Visual Analysis of Weblog Content

    SciTech Connect (OSTI)

    Gregory, Michelle L.; Payne, Deborah A.; McColgin, Dave; Cramer, Nick O.; Love, Douglas V.

    2007-03-26T23:59:59.000Z

    In recent years, one of the advances of the World Wide Web is social media and one of the fastest growing aspects of social media is the blogosphere. Blogs make content creation easy and are highly accessible through web pages and syndication. With their growing influence, a need has arisen to be able to monitor the opinions and insight revealed within their content. In this paper we describe a technical approach for analyzing the content of blog data using a visual analytic tool, IN-SPIRE, developed by Pacific Northwest National Laboratory. We highlight the capabilities of this tool that are particularly useful for information gathering from blog data.

  9. Visual-servoing optical microscopy

    DOE Patents [OSTI]

    Callahan, Daniel E; Parvin, Bahram

    2013-10-01T23:59:59.000Z

    The present invention provides methods and devices for the knowledge-based discovery and optimization of differences between cell types. In particular, the present invention provides visual servoing optical microscopy, as well as analysis methods. The present invention provides means for the close monitoring of hundreds of individual, living cells over time; quantification of dynamic physiological responses in multiple channels; real-time digital image segmentation and analysis; intelligent, repetitive computer-applied cell stress and cell stimulation; and the ability to return to the same field of cells for long-term studies and observation. The present invention further provides means to optimize culture conditions for specific subpopulations of cells.

  10. Visual-servoing optical microscopy

    DOE Patents [OSTI]

    Callahan, Daniel E. (Martinez, CA); Parvin, Bahram (Mill Valley, CA)

    2011-05-24T23:59:59.000Z

    The present invention provides methods and devices for the knowledge-based discovery and optimization of differences between cell types. In particular, the present invention provides visual servoing optical microscopy, as well as analysis methods. The present invention provides means for the close monitoring of hundreds of individual, living cells over time; quantification of dynamic physiological responses in multiple channels; real-time digital image segmentation and analysis; intelligent, repetitive computer-applied cell stress and cell stimulation; and the ability to return to the same field of cells for long-term studies and observation. The present invention further provides means to optimize culture conditions for specific subpopulations of cells.

  11. SPOCS: Software for Predicting and Visualizing Orthology/Paralogy Relationships Among Genomes

    SciTech Connect (OSTI)

    Curtis, Darren S.; Phillips, Aaron R.; Callister, Stephen J.; Conlan, Sean; McCue, Lee Ann

    2013-10-15T23:59:59.000Z

    At the rate that prokaryotic genomes can now be generated, comparative genomics studies require a flexible method for quickly and accurately predicting orthologs among the rapidly changing set of genomes available. SPOCS implements a graph-based ortholog prediction method to generate a simple tab-delimited table of orthologs and in addition, html files that provide a visualization of the predicted ortholog/paralog relationships to which gene/protein expression metadata may be overlaid. AVAILABILITY AND IMPLEMENTATION: A SPOCS web application is freely available at http://cbb.pnnl.gov/portal/tools/spocs.html. Source code for Linux systems is also freely available under an open source license at http://cbb.pnnl.gov/portal/software/spocs.html; the Boost C++ libraries and BLAST are required.

  12. The curriculum prerequisite network: a tool for visualizing and analyzing academic curricula

    E-Print Network [OSTI]

    Aldrich, Preston R

    2014-01-01T23:59:59.000Z

    This article advances the prerequisite network as a means to visualize the hidden structure in an academic curriculum. Network technologies have been used for some time now in social analyses and more recently in biology in the areas of genomics and systems biology. Here I treat the curriculum as a complex system with nodes representing courses and links between nodes the course prerequisites as readily obtained from a course catalogue. The resulting curriculum prerequisite network can be rendered as a directed acyclic graph, which has certain desirable analytical features. The curriculum is seen as partitioned into numerous isolated course groupings, the size of the groups varying considerably. Individual courses are seen serving very different roles in the overall organization, such as information sources, hubs, and bridges. This network represents the intrinsic, hard-wired constraints on the flow of information in a curriculum, and is the organizational context within which learning occurs.

  13. Strong Integer Additive Set-valued Graphs: A Creative Review

    E-Print Network [OSTI]

    N. K. Sudev; K. A. Germina; K. P. Chithra

    2015-04-23T23:59:59.000Z

    For a non-empty ground set $X$, finite or infinite, the {\\em set-valuation} or {\\em set-labeling} of a given graph $G$ is an injective function $f:V(G) \\to \\mathcal{P}(X)$, where $\\mathcal{P}(X)$ is the power set of the set $X$. A set-indexer of a graph $G$ is an injective set-valued function $f:V(G) \\to \\mathcal{P}(X)$ such that the function $f^{\\ast}:E(G)\\to \\mathcal{P}(X)-\\{\\emptyset\\}$ defined by $f^{\\ast}(uv) = f(u){\\ast} f(v)$ for every $uv{\\in} E(G)$ is also injective., where $\\ast$ is a binary operation on sets. An integer additive set-indexer is defined as an injective function $f:V(G)\\to \\mathcal{P}({\\mathbb{N}_0})$ such that the induced function $g_f:E(G) \\to \\mathcal{P}(\\mathbb{N}_0)$ defined by $g_f (uv) = f(u)+ f(v)$ is also injective, where $\\mathbb{N}_0$ is the set of all non-negative integers and $\\mathcal{P}(\\mathbb{N}_0)$ is its power set. An IASI $f$ is said to be a strong IASI if $|f^+(uv)|=|f(u)|\\,|f(v)|$ for every pair of adjacent vertices $u,v$ in $G$. In this paper, we critically and creatively review the concepts and properties of strong integer additive set-valued graphs.

  14. Eye fixation determined by the visual shape and semantic matches in language-mediated visual search 

    E-Print Network [OSTI]

    Shi, Lei

    2007-08-24T23:59:59.000Z

    When participants are presented simultaneously a visual display with spoken input, eye fixation could be determined by a match between representations from spoken input and visual objects. Previous studies found that eye fixation on the semantic...

  15. Data Analytics and Visualization at NERSC

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

    wind (Image by Burlen Loring) Overview Exploratory Visualization, Data Analysis, and Mining tools are used to inspect datasets, create and test hypotheses as well as to find...

  16. Strategies for Choosing Analytics and Visualization Software...

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

    be interchangeable. Visualization Analytics Visit Matlab Python tools: Numpy, Scipy, iPython, matplotlib Paraview Mathematica Perl IDL Python TCLTK AVSExpress R SQL ImageJFiji...

  17. Visualization of Microearthquake Data from Enhanced Geothermal...

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

    Microearthquake Visualization of Microearthquake Data from Enhanced Geothermal Systems microearthquake.png We are working with geophysicists in the Earth Sciences Division (ESD) at...

  18. Visualization of Adaptive Mesh Refinement Data

    E-Print Network [OSTI]

    Geddes, Cameron Guy Robinson

    of processed data Ideal basis for specialized AMR visualization tool replacement [Argon bubble subjected: ­ Create new variables from existing ones via arithmetic expressions: +, -, *, /, dot product, cross

  19. Visualizing Global Inequality on the Web

    E-Print Network [OSTI]

    Meyers, Ian; Lodha, S K; Crow, Ben D; Fulfrost, Brian

    2008-01-01T23:59:59.000Z

    on Mapping Global Inequality, University of California,Visualizing Global Inequality on the Web Ian Myers 1 ,for mapping global inequality by (i) creating a simple user

  20. Data Analysis & Visualization | Neutron Science | ORNL

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

    Data Analysis and Visualization As the data sets generated by the increasingly powerful neutron scattering instruments at HFIR and SNS grow ever more massive, the facilities'...