Sample records for knowledge network cdkn

  1. Climate and Development Knowledge Network (CDKN) Feed | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovationin UrbanCity ofCityCleanInformation Climate and Development

  2. Climate and Development Knowledge Network (CDKN) | 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 directedAnnual Siteof EnergyInnovationin UrbanCity ofCityCleanInformation Climate and

  3. Climate and Development Knowledge Network (CDKN) | 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 EditCalifornia:PowerCER.png El CER esDatasetCityFund Jump to:Climate and Development

  4. Re-engineering knowledge networks for development

    E-Print Network [OSTI]

    Raghavan, Amrith, 1976-

    2004-01-01T23:59:59.000Z

    This thesis examines the evolution of Internet based knowledge networks (e-knowledge networks) in the domain of sustainable development. The objective of this thesis is to use an engineering systems approach to understand ...

  5. CDKN-CARICOM-A Regional Implementation Plan for CARICOM's Regional...

    Open Energy Info (EERE)

    CARICOM-A Regional Implementation Plan for CARICOM's Regional Climate Change Resilience Framework Jump to: navigation, search Name CDKN-CARICOM-A Regional Implementation Plan for...

  6. Generic Knowledge Structures for Probabilistic-Network Engineering

    E-Print Network [OSTI]

    Utrecht, Universiteit

    Generic Knowledge Structures for Probabilistic-Network Engineering Eveline M. Helsper Linda C. van-CS-2005-014 www.cs.uu.nl #12;Generic Knowledge Structures for Probabilistic-Network Engineering Eveline M of engineering probabilistic networks can be sup- ported by a library of generic knowledge structures

  7. NetPal: A Dynamic Network Administration Knowledge Base

    E-Print Network [OSTI]

    Milios, Evangelos E.

    NetPal: A Dynamic Network Administration Knowledge Base Ashley George, Adetokunbo Makanju system designed to assist network administra- tors in their troubleshooting tasks, in recall- ing hosting environments, Net- pal summarises network data and and supports retrieval of relevant

  8. Organizing Global Knowledge Networks in the Electronics Industry

    E-Print Network [OSTI]

    Dedrick, Jason; Kraemer, Kenneth L; Linden, Greg; Brown, Claire; Murtha, Tom

    2007-01-01T23:59:59.000Z

    Knowledge Networks in the Electronics Industry 1 Jasonusing studies from the electronics industry. We examine theanalysis to the overall electronics industry to illustrate

  9. Generic Knowledge Structures for Probabilistic-Network Engineering

    E-Print Network [OSTI]

    Utrecht, Universiteit

    Generic Knowledge Structures for Probabilistic-Network Engineering Eveline M. Helsper and Linda C, independent of any specific application domain. Upon using the library, the knowledge engineer selects customisation by the knowl- edge engineer. To allow for customisation, a knowledge structure should be based

  10. Academic Knowledge Transfer in Social Networks

    E-Print Network [OSTI]

    Slater, Mark David

    2013-01-01T23:59:59.000Z

    4.3 Digital Library Requirements . . . . . . . . . . . 4.43.1.1 Digital Libraries . . . . . . . . . . . .A Prototype Personal Digital Library Knowledge Transfer

  11. In the networked society people, knowledge, devices,

    E-Print Network [OSTI]

    Zhao, Yuxiao

    . The work will mix theoretical work with simulation evaluations, based on existing or emerging Ericsson vertical positioning component. Furthermore, network based solution requirements are typically tighter indoor. The developed network-based algorithms will be based on various radio network measurements from

  12. In the networked society people, knowledge, devices,

    E-Print Network [OSTI]

    Zhao, Yuxiao

    devices to their benefit. Thesis - Development and evaluation of Multi-RAT simulator-00072198 Description, there is a need of modeling WiFi networks and developing a simulator capable of modeling both these RATs. The goal a current Matlab-based time-dynamic LTE simulator to include capabilities to simulate WiFi nodes

  13. Knowledge-based navigation in a hypertext network

    E-Print Network [OSTI]

    Snell, James Robert

    1990-01-01T23:59:59.000Z

    was to investigate knowledge-based navigation in a hypertext network. Hypertext can be described as a massive network of text fragments, stored in a computer system, linked together electronically. The navigation problem is the inability of the user to move.... However, the system did not have a sufficient number of links (or potential links) to test the effectiveness properly. The final study utilized a set of dermatology class notes. The study measured time, number of moves, and success rates for subjects...

  14. Gambia-Support the Development of a National Climate Compatible...

    Open Energy Info (EERE)

    Name CDKN-Gambia-Support the Development of a National Climate Compatible Development Strategy AgencyCompany Organization Climate and Development Knowledge Network (CDKN),...

  15. Knowledge Network: An Information Repository with Services for Managing Concurrent Engineering Design

    E-Print Network [OSTI]

    Fox, Mark S.

    Knowledge Network: An Information Repository with Services for Managing Concurrent Engineering design engineers. The KAD system centers on a knowledge network that stores design knowledge and provides are constructing a Knowledge Aided Design (KAD) system for supporting concurrent engineering design and enhancing

  16. Border-crossing knowledge networking among multinational firms : the case of R&D facilities

    E-Print Network [OSTI]

    Shirvani-Mahdavi, Ali (Ali Agha), 1965-

    2004-01-01T23:59:59.000Z

    (cont.) which is expected, given their additional knowledge resources. The respondents' urgency in looking for the relevant knowledge is the primary explanation for this difference between the two networks. This difference ...

  17. aerospace knowledge diffusion: Topics by E-print Network

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

    to codify: Implications for the knowledge - based economy" Prometheus 19 Richards, Debbie 15 Inverse diffusion from knowledge of power densities Guillaume Bal Mathematics...

  18. Redefining Social Network Services: A Solution to Personal Information and Knowledge Management

    E-Print Network [OSTI]

    He, Daqing

    Redefining Social Network Services: A Solution to Personal Information and Knowledge Management of human communication abilities as other social software does, social network services (SNS) provide their theoretical foundation from social network theory. However, they are far from working perfectly as reflected

  19. asia current knowledge: Topics by E-print Network

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

    co-operation sector is beginning to recognise knowledge as a pillar of equitable and sustainable development and to view knowledge sharing as one of the central challenges for...

  20. Network Structure and Inter-organizational Knowledge Sharing Capability This paper examines how the structure of a supply network can affect the inter-organizational

    E-Print Network [OSTI]

    Priestley, Jennifer Lewis

    Network Structure and Inter-organizational Knowledge Sharing Capability ABSTRACT This paper examines how the structure of a supply network can affect the inter-organizational knowledge sharing, Inter-organizational knowledge sharing, Absorptive capacity, Shared identity, Network structure. 1 #12

  1. A network that responds to water resource issues by advancing knowledge through

    E-Print Network [OSTI]

    Water Wells and Septic Systems · Animal Agriculture: Production and Manure Management The informationThe Land-Grant University System A network that responds to water resource issues by advancing knowledge through research, education and extension projects. Applying knowledge to improve water quality

  2. MANAGING NETWORK ORGANIZATIONS IN THE KNOWLEDGE ECONOMY: LEARNING

    E-Print Network [OSTI]

    Indiana University

    ECONOMY: LEARNING FROM SUCCESS AND FAILURE Hamid R. Ekbia School of Library and Information Science The current economy has brought the network model of organization to the forefront of management theory. INTRODUCTION The information economy seems to favor the network model of organiza- tion. This is what various

  3. architecture knowledge management: Topics by E-print Network

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

    architecture knowledge management First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Architectural...

  4. activating event knowledge: Topics by E-print Network

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

    decision making to people or applications. Nor does it provide the means for users to enter and share their "knowledge" that is useful for making the right decisions. This...

  5. accessing human knowledge: Topics by E-print Network

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

    articles on this tree. 'Technomimetics' is proposed as a new method of knowledge management in science and technology: it shall help find and organise information in an era of...

  6. APPLYING SOCIAL NETWORK ANALYSIS TO KNOWLEDGE PETER BUSCH

    E-Print Network [OSTI]

    Richards, Debbie

    , Macquarie University North Ryde, NSW, 2109, Australia DEBBIE RICHARDS Department of Computing, Macquarie University North Ryde, NSW, 2109, Australia Tacit knowledge is either learnt through repeated experience and Release the Power of Innovation, Oxford University Press, Inc., New York. #12;

  7. System and method for knowledge based matching of users in a network

    DOE Patents [OSTI]

    Verspoor, Cornelia Maria (Santa Fe, NM); Sims, Benjamin Hayden (Los Alamos, NM); Ambrosiano, John Joseph (Los Alamos, NM); Cleland, Timothy James (Los Alamos, NM)

    2011-04-26T23:59:59.000Z

    A knowledge-based system and methods to matchmaking and social network extension are disclosed. The system is configured to allow users to specify knowledge profiles, which are collections of concepts that indicate a certain topic or area of interest selected from an. The system utilizes the knowledge model as the semantic space within which to compare similarities in user interests. The knowledge model is hierarchical so that indications of interest in specific concepts automatically imply interest in more general concept. Similarity measures between profiles may then be calculated based on suitable distance formulas within this space.

  8. Learning Bayesian Networks: The Combination of Knowledge and Statistical Data

    E-Print Network [OSTI]

    Heckerman, David

    (1991), and Spiegelhalter et al. (1993) (herein referred to as CH, Buntine, and SDLC, respectively implicitly by CH, Buntine, and SDLC, addresses the relationship among prior distributions of param- eters is to be contrasted with those of CH and Buntine who do not make use of a prior network, and to those of CH and SDLC

  9. Building Knowledge-enabled Cloud Robotics Applications using the Ubiquitous Network Robot Platform

    E-Print Network [OSTI]

    Building Knowledge-enabled Cloud Robotics Applications using the Ubiquitous Network Robot Platform of distributed robotic applications. Our aim is to modularize applications by factoring out environment- , task base that is shared between the robots and service applications. Robot control decisions can

  10. Extracting Attack Knowledge Using Principal-subordinate Consequence Tagging Case Grammar and Alerts Semantic Networks

    E-Print Network [OSTI]

    Ansari, Nirwan

    Extracting Attack Knowledge Using Principal-subordinate Consequence Tagging Case Grammar and Alerts networks from Distributed Denial of Service (DDoS) attacks has become a critical issue that must be tackled, the overwhelming volume of alerts makes it difficult for security administrators to analyze and extract the attack

  11. Symbiotic Intelligence: SelfOrganizing Knowledge on Distributed Networks Driven by Human Interaction

    E-Print Network [OSTI]

    Menczer, Filippo

    a , and Marianna Kantor a . a Los Alamos National Laboratory, Los Alamos, New Mexico, 87545 b Santa Fe InstituteSymbiotic Intelligence: Self­Organizing Knowledge on Distributed Networks Driven by Human, 1399 Hyde Park Road, Santa Fe, New Mexico, 87501 Abstract Through conceptual examples

  12. To appear in: Machine Learning: An Artificial Intelligence Approach, volume IV Refining Symbolic Knowledge Using Neural Networks

    E-Print Network [OSTI]

    Liblit, Ben

    artificial neural networks as part of a multistrategy learning system, there must be a way for neural; 1 Introduction Artificial neural networks (ANNs) have proven to be a powerful and general technique Knowledge Using Neural Networks Geoffrey G. Towell Jude W. Shavlik University of Wisconsin --- Madison 1210

  13. Guyana-Regional Implementation Plan for CARICOM's Climate Change...

    Open Energy Info (EERE)

    Regional Implementation Plan for CARICOM's Climate Change Resilience Framework AgencyCompany Organization Climate and Development Knowledge Network (CDKN), United Kingdom...

  14. ECEN 621-600: Mobile Wireless Networking, Spring 2009 A Course Targeting at State-of-The-Art Knowledge In Advanced Wireless

    E-Print Network [OSTI]

    Zhang, Xi

    ECEN 621-600: Mobile Wireless Networking, Spring 2009 A Course Targeting at State-of-The-Art Knowledge In Advanced Wireless Communications and Networking Design & Analysis Techniques INSTRUCTOR: Prof, protocols, and modeling techniques for mobile wireless networks. The course aims at equipping graduate

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

    E-Print Network [OSTI]

    Liblit, Ben

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

  16. The local knowledge bank : uncovering the processes and networks of social innovation at Brazil's first community bank

    E-Print Network [OSTI]

    Gao, Ying, M.C.P. Massachusetts Institute of Technology

    2014-01-01T23:59:59.000Z

    In this thesis, I apply a case study method to examine the processes of knowledge management both within the neighborhood, and in institutional partnerships, by Banco Palmas, Brazil's first community development bank, as ...

  17. analysis network sevan: Topics by E-print Network

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

    Francesco Keywords: Knowledge Base, Social Network Analysis, Variety, Coherence, Industry lifecycles; exploration network analysis (SNA) within an evolutionary framework, to...

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

    E-Print Network [OSTI]

    Shavlik, Jude W.

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

  19. Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding

    E-Print Network [OSTI]

    Maclin, Rich

    for Protein Folding Richard Maclin Jude W. Shavlik Computer Sciences Dept. University of Wisconsin 1210 W learning Theory refinement Neural networks Finite-state automata Protein folding Chou-Fasman algorithm-Fasman algorithm, a method for predicting how globular proteins fold. Empirical evidence shows

  20. Network knowledge and route choice

    E-Print Network [OSTI]

    Ramming, Michael Scott

    2002-01-01T23:59:59.000Z

    Models of urban traveler route choice are reviewed in the context of Intelligent Transportation Systems, particularly Advanced Traveler Information S ystems. Existing models suffer from assumptions of perfect information ...

  1. Computer Supporting Diaspora Knowledge Networks

    E-Print Network [OSTI]

    Turner, William

    ; Gerhardt, Nadia; Siciliano, Florencia; Rosa Marano, Maria] Univ Nacl Rosario, Inst Biol Mol & Celular Biol Mol & Celular Rosario, CONICET, Fac Ciencias Bioquim & Farmaceut,Area Virol, RA-2000 Rosario

  2. Better Knowledge Management Through Knowledge Engineering

    E-Print Network [OSTI]

    Preece, Alun

    Better Knowledge Management Through Knowledge Engineering: A Case Study in Drilling Optimisation. The paper presents a case study in which knowledge engineering practices are being used to support knowledge the term knowledge management has been used to describe the efforts of organisations to capture, store

  3. A publish-subscribe implementation of network management

    E-Print Network [OSTI]

    Simosa, Jorge D. (Jorge David)

    2013-01-01T23:59:59.000Z

    As modern networks become highly integrated, heterogeneous, and experience exponential growth, the task of network management becomes increasingly unmanageable for network administrators and designers. The Knowledge Plane ...

  4. A Publish-Subscribe Implementation of Network Management

    E-Print Network [OSTI]

    Simosa, Jorge D.

    2013-06-04T23:59:59.000Z

    As modern networks become highly integrated, heterogeneous, and experience exponential growth, the task of network management becomes increasingly unmanageable for network administrators and designers. The Knowledge Plane ...

  5. Distributed Broadcasting and Mapping Protocols in Directed Anonymous Networks

    E-Print Network [OSTI]

    Bruck, Jehoshua (Shuki)

    Distributed Broadcasting and Mapping Protocols in Directed Anonymous Networks Michael Langberg is to create distributed protocols that reduce the uncertainty by distributing the knowledge of the network anonymous networks. Keywords: Anonymous networks, directed networks, distributed protocols. 1 Introduction

  6. Knowledge Market: Agent-mediated Knowledge Sharing

    E-Print Network [OSTI]

    Dignum, Frank

    , preservation and distribution of knowledge assets but mainly the management and nurturing of collaboration developments show a shift in the focus of Knowledge Management (KM) from knowledge organization of relevant knowledge in a dynamic, collaborative environment. - Preserve individual autonomy and contribute

  7. A bridge between worlds: understanding network structure to understand change strategy

    E-Print Network [OSTI]

    Daly, Alan J.; Finnigan, Kara S.

    2010-01-01T23:59:59.000Z

    and knowledge networks district administrators had highercentral of?ce administrator networks are more rare and2005). Multiple networks of public school administrators: An

  8. australasian culex mosquitoes: Topics by E-print Network

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

    Keywords Social Network Analysis, tacit knowledge, knowledge flows 1 Richards, Debbie 319 POPULATION AND COMMUNITY ECOLOGY Temporal and Spatial Synchrony of Culex...

  9. Geospatial knowledge for territorial intelligence Pr. Robert Laurini Geospatial Knowledge

    E-Print Network [OSTI]

    Laurini, Robert

    Geospatial knowledge for territorial intelligence Pr. Robert Laurini Geospatial Knowledge ­ Management · Objective: Sustainable development #12;Geospatial knowledge for territorial intelligence Pr;Geospatial knowledge for territorial intelligence Pr. Robert Laurini Generic and specific knowledge

  10. Knowledge-based cluster development in India : opportunities and challenges

    E-Print Network [OSTI]

    Singla, Chandan Dev

    2008-01-01T23:59:59.000Z

    Knowledge-based industries tend to cluster. The nature of activities illustrate the importance of networks and virtual and proximity aspects of clustering. Review of existing literature brings out the advantages of clustering ...

  11. Reasoning About Knowledge Reasoning About Knowledge

    E-Print Network [OSTI]

    Vardi, Moshe Y.

    Introduction and Overview 1 1.1 The Muddy Children Puzzle . . . . . . . . . . . . . . . . . . . . . 3 1 Knowledge . . . . . . . . . . 23 2.3 The Muddy Children Revisited . . . . . . . . . . . . . . . . . . . . 24 . . . . . . . . . . . . . . . . . . . . 127 4.4.4 Perfect Recall . . . . . . . . . . . . . . . . . . . . . . . . 128 4.4.5 Message-Passing

  12. ISI Web of Knowledge111 -ISI Web of Knowledge

    E-Print Network [OSTI]

    Ben-Or, Michael

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

  13. Review: Knowledge and Environmental Policy

    E-Print Network [OSTI]

    Little, Peter C.

    2012-01-01T23:59:59.000Z

    Review: Knowledge and Environmental Policy: Re-Imagining theRobert. Knowledge and Environmental Policy: Re-Imagining thepaperback. Knowledge and Environmental Policy continues the

  14. Knowledge assistant for robotic environmental characterization

    SciTech Connect (OSTI)

    Feddema, J.; Rivera, J.; Tucker, S.; Matek, J.

    1996-08-01T23:59:59.000Z

    A prototype sensor fusion framework called the {open_quotes}Knowledge Assistant{close_quotes} has been developed and tested on a gantry robot at Sandia National Laboratories. This Knowledge Assistant guides the robot operator during the planning, execution, and post analysis stages of the characterization process. During the planning stage, the Knowledge Assistant suggests robot paths and speeds based on knowledge of sensors available and their physical characteristics. During execution, the Knowledge Assistant coordinates the collection of data through a data acquisition {open_quotes}specialist.{close_quotes} During execution and postanalysis, the Knowledge Assistant sends raw data to other {open_quotes}specialists,{close_quotes} which include statistical pattern recognition software, a neural network, and model-based search software. After the specialists return their results, the Knowledge Assistant consolidates the information and returns a report to the robot control system where the sensed objects and their attributes (e.g., estimated dimensions, weight, material composition, etc.) are displayed in the world model. This report highlights the major components of this system.

  15. Academic Knowledge Transfer in Social Networks

    E-Print Network [OSTI]

    Slater, Mark David

    2013-01-01T23:59:59.000Z

    Pinch and Bijker’s “Social Construction of Technology” (Pinch, editors, The Social Construction of Technological Systems: New Directions in the Sociology and History of Technology,Pinch, editors, The Social Construction of Technological Systems: New Directions in the Sociology and History of Technology,

  16. Academic Knowledge Transfer in Social Networks

    E-Print Network [OSTI]

    Slater, Mark David

    2013-01-01T23:59:59.000Z

    185 v A Facebook Survey Questions A.1 Intake Survey5.5.3 Framing Facebook . . . . . . . . . 5.5.4 Applicationlong have you been using facebook? 3. How often do you log

  17. Academic Knowledge Transfer in Social Networks

    E-Print Network [OSTI]

    Slater, Mark David

    2013-01-01T23:59:59.000Z

    such as news or academic articles, papers, websites) usingsuch as news or academic articles, papers, websites) usingsuch as news or academic articles, papers, websites) using

  18. Academic Knowledge Transfer in Social Networks

    E-Print Network [OSTI]

    Slater, Mark David

    2013-01-01T23:59:59.000Z

    REST) Services Tier AccessService RelationshipService UserService LibraryService RelationshipManager UserManager LibraryManager Data Management Tier AccessManager ODBC / JDBC / SQL Other API (

  19. Recording Scientific Knowledge

    SciTech Connect (OSTI)

    Bowker, Geof (Santa Clara University) [Santa Clara University

    2006-01-09T23:59:59.000Z

    The way we record knowledge, and the web of technical, formal, and social practices that surrounds it, inevitably affects the knowledge that we record. The ways we hold knowledge about the past - in handwritten manuscripts, in printed books, in file folders, in databases - shape the kind of stories we tell about that past. In this talk, I look at how over the past two hundred years, information technology has affected the nature and production of scientific knowledge. Further, I explore ways in which the emergent new cyberinfrastructure is changing our relationship to scientific practice.

  20. Knowledge-based control

    E-Print Network [OSTI]

    Painter, John H.

    1992-03-17T23:59:59.000Z

    Knowledge-based control is defined here as the management of dynamic systems whose states admit qualitative modeling. Contributions from several disparate disciplines, such as artificial intelligence, the decision sciences, and fuzzy control...

  1. Network Management Network Management

    E-Print Network [OSTI]

    that pertain to the operation, administration, maintenance, and provisioning of networked systems · Operation deals with keeping the network up (and the service provided by the network) · Administration involvesNetwork Management Pag. 1 Network Management Andrea Bianco Telecommunication Network Group Network

  2. Executive report Building knowledge

    E-Print Network [OSTI]

    Geffner, Hector

    Executive report Building knowledge To build citizens To build cities UPF CAMPUS ICÀRIA INTERNATIONAL PROJECT 2010 International Campus of Excellence Programme #12;2 UPF CAMPUS ICÀRIA INTERNATIONAL this presentation from the one submitted in the CEI 2009 programme where UPF was classified as a `promising

  3. Foundations of Artificial Intelligence Knowledge Representation

    E-Print Network [OSTI]

    Qu, Rong

    To introduce knowledge acquisition and knowledge engineering. To explain how knowledge is taken from a human. Knowledge Acquisition #12;The field of knowledge engineering can be defined as the process of assessing problems, acquiring knowledge and building knowledge based systems. Knowledge Engineering #12;Problem

  4. Foundations of Artificial Intelligence Knowledge Acquisition

    E-Print Network [OSTI]

    Qu, Rong

    knowledge acquisition and knowledge engineering. To explain how knowledge is taken from a human before being of knowledge engineering can be defined as the process of assessing problems, acquiring knowledge and building knowledge based systems. Knowledge Engineering Problem assessment Data and knowledge acquisition Bottleneck

  5. IMKA: A Multimedia Organization System Combining Perceptual and Semantic Knowledge

    E-Print Network [OSTI]

    Chang, Shih-Fu

    -914-784-7320 jrsmith@watson.ibm.com ABSTRACT In this demo, we present the IMKA system, which implements the innovative extends existing knowledge representation tools in the text domain (e.g., semantic networks and Word, and enhanced searching using relevance feedback from users. However, existing systems still lack adequate

  6. High School Students' Modeling Knowledge High School Students' Modeling Knowledge

    E-Print Network [OSTI]

    High School Students' Modeling Knowledge High School Students' Modeling Knowledge David Fortus of the authors. #12;High School Students' Modeling Knowledge Abstract Modeling is a core scientific practice a learning progression for this practice, focusing on the late elementary and early middle school years

  7. 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

  8. Frame-Based Knowledge Representation

    E-Print Network [OSTI]

    Steels, Luc

    The paper introduces a language for representing knowledge in a declarative form. With this language it is possible to define knowledge about a certain domain by introducing a number of concepts and by specifying their ...

  9. Centre de recherche KNOWLEDGE DYNAMICS

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Centre de recherche KNOWLEDGE DYNAMICS DURING PLANNING PRACTICES MARIE-LÉANDRE GOMEZ DR09011 or part of this document without the written consent of the authors. - DR 09011 - Knowledge Dynamics Hirsch, BP5021, 95021 CERGY PONTOISE, France. E-mail: gomez@essec.fr I #12;Knowledge Dynamics During

  10. Knowledge Based Enterprise Engineering (KBEE): a modeling framework for enterprise knowledge

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Knowledge Based Enterprise Engineering (KBEE): a modeling framework for enterprise knowledge modeling, Knowledge modeling, Enterprise Engineering, Knowledge Engineering. 1 Introduction Knowledge in externalization and integration of knowledge and also for the engineering context, we will propose in this paper

  11. achieve transportation goals: Topics by E-print Network

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

    uses goal networks to help users plan where and when to accomplish their desired goals. Dustin A. Smith 111 Active and Interactive Discovery of Goal Selection Knowledge Jay...

  12. Enterprise Microblogging for Advanced Knowledge Sharing: The References@BT Case Study

    E-Print Network [OSTI]

    Hammerton, James

    of knowledge, experiences and best-practices globally within the Building Technologies division. Launched networking service. In response to use demand, a new microblogging service, tightly integrated in 2005, References@BT features structured knowledge references, discussion forums, and a basic social

  13. Robust automated knowledge capture.

    SciTech Connect (OSTI)

    Stevens-Adams, Susan Marie; Abbott, Robert G.; Forsythe, James Chris; Trumbo, Michael Christopher Stefan; Haass, Michael Joseph; Hendrickson, Stacey M. Langfitt

    2011-10-01T23:59:59.000Z

    This report summarizes research conducted through the Sandia National Laboratories Robust Automated Knowledge Capture Laboratory Directed Research and Development project. The objective of this project was to advance scientific understanding of the influence of individual cognitive attributes on decision making. The project has developed a quantitative model known as RumRunner that has proven effective in predicting the propensity of an individual to shift strategies on the basis of task and experience related parameters. Three separate studies are described which have validated the basic RumRunner model. This work provides a basis for better understanding human decision making in high consequent national security applications, and in particular, the individual characteristics that underlie adaptive thinking.

  14. Network Chimera Network Chimera

    E-Print Network [OSTI]

    Network Chimera Network Chimera Objective Chimera aims to understand how the network properties enough with limited resources. The Chimera team is cross-disciplinary, and includes computer scientists Impact The original hypothesis of Chimera was that a physical network could be reduced to a graph

  15. Social Networking? Secure Networking?

    E-Print Network [OSTI]

    Chapman, Michael S.

    Social Networking? Secure Networking? Teaching & Learning Technology Roundtable February 2010 #12 ­ The intent behind the current security measures in place at OHSU ­ The OHSU Social Networking Guidelines 2. To begin a campus wide dialogue exploring the changing world of online social networking and it

  16. Investigating the Energy Consumption of a Wireless Network Interface in an Ad Hoc Networking

    E-Print Network [OSTI]

    Sirer, Emin Gun

    Investigating the Energy Consumption of a Wireless Network Interface in an Ad Hoc Networking protocols re- quires knowledge of the energy consumption behavior of actual wireless interfaces. But little practical information is available about the energy consumption behavior of well-known wireless network

  17. Review: Knowledge and Environmental Policy

    E-Print Network [OSTI]

    Little, Peter C.

    2012-01-01T23:59:59.000Z

    and Environmental Policy: Re-Imagining the Boundaries ofand Environmental Policy: Re-Imagining the Boundaries ofKnowledge and Environmental Policy continues the complex and

  18. Maturing Software Engineering Knowledge through Classifications

    E-Print Network [OSTI]

    Basili, Victor R.

    Maturing Software Engineering Knowledge through Classifications: A Case Study on Unit Testing contribution to advancing knowledge in both science and engineering. It is a way of investigating Engineering knowledge, as classifications constitute an organized structure of knowledge items. Till date

  19. ISI Web of Knowledge111 , ,1111

    E-Print Network [OSTI]

    Daniel, Rosenfeld

    ISI Web of Knowledge111 © , ,1111 -ISI Web of Knowledge (http://newisiknowledge.com) , , , . . -ISI Web of Knowledge : Web of Science(-1965) , . Biosis Previews(-1991) , ,, . MEDLINE(-1951) , , . Zoological Record(-1995). , . ISI Web of Knowledge . . -VPN( ). : 1.:http

  20. Knowledge and Common Knowledge in a Distributed Environment \\Lambda

    E-Print Network [OSTI]

    Halpern, Joseph Y.

    Knowledge and Common Knowledge in a Distributed Environment \\Lambda Joseph Y. Halpern Yoram Moses role in distributed systems. Indeed, such reasoning is a central part of the informal intuitive arguments used in the design of distributed protocols. Communication in a distributed system can be viewed

  1. The Interactive Knowledge Library: Capturing, Sharing and Synthesizing Tacit Knowledge in Engineering

    E-Print Network [OSTI]

    Eaton, Craig M.

    2006-12-15T23:59:59.000Z

    The Interactive Knowledge Library is a place to capture, share and synthesize tacit and explicit knowledge. While explicit knowledge (or ‘know what’) is useful, it is tacit knowledge (or ‘know how’) that is the quintessence of knowledge, from which...

  2. Foundations of Artificial Intelligence Knowledge Acquisition

    E-Print Network [OSTI]

    Qu, Rong

    knowledge acquisition and knowledge engineering. To explain how knowledge is taken from a human before being against the original statement. Knowledge Acquisition The field of knowledge engineering can be defined Engineering Problem assessment Data and knowledge acquisition Bottleneck Development of a prototype system

  3. Knowledge Infusion Leslie G. Valiant

    E-Print Network [OSTI]

    Valiant, Leslie

    Knowledge Infusion Leslie G. Valiant Division of Engineering and Applied Sciences Harvard as by their economy in the use of external data. In this paper we propose a theoretical basis for knowl- edge infusion in terms of robust logic. Knowledge infusion based on robust logic can be distinguished from other cur

  4. Feedstock Production Datasets from the Bioenergy Knowledge Discovery Framework

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

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about] Holdings include datasets, models, and maps and the collections are growing due to both DOE contributions and data uploads from individuals.

  5. Biofuel Distribution Datasets from the Bioenergy Knowledge Discovery Framework

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

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about] Holdings include datasets, models, and maps and the collections are growing due to both DOE contributions and individuals' data uploads.

  6. Biofuel Production Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)

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

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

    Holdings include datasets, models, and maps and the collections arel growing due to both DOE contributions and data uploads from individuals.

  7. Feedstock Logistics Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)

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

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. Holdings include datasets, models, and maps. [from https://www.bioenergykdf.net/content/about

  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. A Representation-Based Methodology for Developing High-Value Knowledge Engineering Systems: Theory and Applications

    E-Print Network [OSTI]

    Munger, Tyler Rey

    2012-01-01T23:59:59.000Z

    Knowledge Engineering . . . . . . . . . . . . . . . . . . . . . . .Knowledge Engineering . . . . . . . . . . . .to Analytics for Knowledge Engineering Approach . . . . .

  10. Knowledge ecology and knowledge economy interests -can they be compatible? Rainer Kuhlen

    E-Print Network [OSTI]

    Kuhlen, Rainer

    Knowledge ecology and knowledge economy interests - can they be compatible? Rainer Kuhlen and knowledge ecology - can they be compatible? CC 1 #12;Knowledge ecology and knowledge economy interests - can they be compatible? part of #12;Knowledge ecology and knowledge economy interests - can they be compatible? EIS

  11. Knowledge Capture and Transfer Program

    Broader source: Energy.gov [DOE]

    The Office of Learning and Workforce Development is working with Heads of Departmental Elements, DOE senior leaders and subject-matter-experts to capture and transfer the knowledge and experiences...

  12. Knowledge Acquisition from Data Bases 

    E-Print Network [OSTI]

    Wu, Xindong

    Knowledge acquisition from databases is a research frontier for both data base technology and machine learning (ML) techniques,and has seen sustained research over recent years.It also acts as a link between the two ...

  13. CDKN-CARICOM-A Regional Implementation Plan for CARICOM's Regional

    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 EnergyInnovation inOpen Energy Information BurkinaButyl FuelCCCT Solar Jump

  14. CDKN-Green Growth: Implications for Development Planning | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovation inOpen Energy Information BurkinaButyl FuelCCCT Solar

  15. Functional Metadata Schema for Engineering Knowledge Management

    E-Print Network [OSTI]

    Mizoguchi, Riichiro

    Functional Metadata Schema for Engineering Knowledge Management Yoshinobu Kitamura Naoya Washio engineering knowledge about functionality representing design rationale because of the lack of rich common, ontology, metadata, functional model, knowledge management 1. INTRODUCTION In the engineering design

  16. ORIGINAL PAPER The interdisciplinary engineering knowledge genome

    E-Print Network [OSTI]

    Shai, Offer

    ORIGINAL PAPER The interdisciplinary engineering knowledge genome Yoram Reich · Offer Shai Received, termed the ``Interdisciplinary Engineering Knowledge Genome'', which is an organized collection of system, the Interdisciplinary Engineering Knowledge Genome unifies many engineering disciplines, providing a basis

  17. IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 51, NO. 8, AUGUST 2003 2191 Anomaly Detection in IP Networks

    E-Print Network [OSTI]

    Ji, Chuanyi

    useful information to the network administrator. Using some basic knowledge of the network layout as well Networks Marina Thottan and Chuanyi Ji Abstract--Network anomaly detection is a vibrant research area that this signal processing technique is effective at detecting several network anomalies. Case studies from real

  18. Knowledge Discovery Overview Brian Worley

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    networks Modeling & Simulation · Discrete-event · Agent-based · Emergence · Real-time · Large, sensor, and cybersecurity data Do not be another data archival provider ­ ORNL can provide services

  19. Central Characterization Program (CCP) Acceptable Knowledge Documentat...

    Office of Environmental Management (EM)

    Acceptable Knowledge Documentation Central Characterization Program (CCP) Acceptable Knowledge Documentation This document was used to determine facts and conditions during the...

  20. Extracting Provably Correct Rules from Artificial Neural Networks

    E-Print Network [OSTI]

    Clausen, Michael

    Extracting Provably Correct Rules from Artificial Neural Networks Sebastian B. Thrun University procedures have been applied successfully to a variety of real­world scenarios, artificial neural networks for extracting symbolic knowledge from Backpropagation­style artificial neural networks. It does

  1. Safety Criteria and Safety Lifecycle for Artificial Neural Networks

    E-Print Network [OSTI]

    Kelly, Tim

    Safety Criteria and Safety Lifecycle for Artificial Neural Networks Zeshan Kurd, Tim Kelly and Jim. The paper also presents a safety lifecycle for artificial neural networks. This lifecycle focuses, knowledge. INTRODUCTION Artificial neural networks (ANNs) are used in many safety-related applications

  2. HPSS Yearly Network Traffic

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

    growth in network traffic to storage over the years. Network Traffic Growth Network Distribution 2010 Network Distribution 2010 Network Distribution 2009 Network Distribution...

  3. Knowledge information management toolkit and method

    DOE Patents [OSTI]

    Hempstead, Antoinette R.; Brown, Kenneth L.

    2006-08-15T23:59:59.000Z

    A system is provided for managing user entry and/or modification of knowledge information into a knowledge base file having an integrator support component and a data source access support component. The system includes processing circuitry, memory, a user interface, and a knowledge base toolkit. The memory communicates with the processing circuitry and is configured to store at least one knowledge base. The user interface communicates with the processing circuitry and is configured for user entry and/or modification of knowledge pieces within a knowledge base. The knowledge base toolkit is configured for converting knowledge in at least one knowledge base from a first knowledge base form into a second knowledge base form. A method is also provided.

  4. Link Privacy in Social Networks Aleksandra Korolova, Rajeev Motwani, Shubha U. Nabar, Ying Xu

    E-Print Network [OSTI]

    Pratt, Vaughan

    Link Privacy in Social Networks Aleksandra Korolova, Rajeev Motwani, Shubha U. Nabar, Ying Xu.stanford.edu Abstract-- We consider a privacy threat to a social network in which the goal of an attacker is to obtain knowledge of a significant fraction of the links in the network. We formalize the typical social network

  5. Enhance your Cyber Security Knowledge

    E-Print Network [OSTI]

    Enhance your Cyber Security Knowledge About NPS CS FUNDAMENTALS: Create a strong foundational by increasing the effectiveness of the armed forces of the United States and its allies. Cyber Security-4015 About CISR #12;Cyber Security Adversarial Techniques Cyber Security Defense Cyber Security Fundamentals

  6. A knowledge portal for Norway

    E-Print Network [OSTI]

    Johansen, Tom Henning

    A knowledge portal for Norway 2012 Highlights from the University of Oslo's annual report #12 examinations 14 The Governor of the Bank of Norway's Annual Address: 15 A student ombudsman is introduced 15 for Norway, and in addition to its achievements in the form of education and new research, it has a large

  7. HEART SMART NUTRITION KNOWLEDGE = POWER

    E-Print Network [OSTI]

    Lesson 1 HEART SMART NUTRITION KNOWLEDGE = POWER Know Your Cholesterol Number High blood cholesterol is one of the three major risk factors for heart disease that you can change. The other two risk the disease. Heart disease is the number one killer of women and men in the United States. In 2008, over 16

  8. "Investment in knowledge pays the

    E-Print Network [OSTI]

    Cortes, Jesus

    Annual Report #12;Annual Report #12;"Investment in knowledge pays the best interest." Abraham to information about the organisation. Our accounts are audited annually and can be viewed on our website: www to leading institutions in Europe in terms of selecting, hiring and consolidating research talent. Ikerbasque

  9. Advancing Michigan's State of Knowledge

    E-Print Network [OSTI]

    Zhao, Jennifer Jing

    Advancing Michigan's State of Knowledge GRADUATE E D U C AT I O N "To attract and grow quality jobs for Michigan's Economic Future: Jobs, Education and Protecting Families State of the State Address - 2009 Michigan Graduate Education Day Thursday, April 23, 2009 , Andrews University Aquinas College Baker College

  10. Situation and Perspective of Knowledge Engineering

    E-Print Network [OSTI]

    Staab, Steffen

    Situation and Perspective of Knowledge Engineering Rudi Studer1 , Stefan Decker2 , Dieter Fensel3, The Netherlands dieter@cs.vu.nl Abstract. Knowledge Engineering was in the past primarily concerned with building and developing knowledge-based systems, an objective which puts Knowledge Engineering in a niche of the world

  11. Knowledge Engineering Technique for Cluster Development

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Knowledge Engineering Technique for Cluster Development Pradorn Sureephong1 , Nopasit Chakpitak1 management by using knowledge engineering which is one of the most important method for managing knowledge. This work analyzed three well known knowledge engineering methods, i.e. MOKA, SPEDE and Common

  12. Improving Cyber-Security of Smart Grid Systems via Anomaly Detection and Linguistic Domain Knowledge

    SciTech Connect (OSTI)

    Ondrej Linda; Todd Vollmer; Milos Manic

    2012-08-01T23:59:59.000Z

    The planned large scale deployment of smart grid network devices will generate a large amount of information exchanged over various types of communication networks. The implementation of these critical systems will require appropriate cyber-security measures. A network anomaly detection solution is considered in this work. In common network architectures multiple communications streams are simultaneously present, making it difficult to build an anomaly detection solution for the entire system. In addition, common anomaly detection algorithms require specification of a sensitivity threshold, which inevitably leads to a tradeoff between false positives and false negatives rates. In order to alleviate these issues, this paper proposes a novel anomaly detection architecture. The designed system applies the previously developed network security cyber-sensor method to individual selected communication streams allowing for learning accurate normal network behavior models. Furthermore, the developed system dynamically adjusts the sensitivity threshold of each anomaly detection algorithm based on domain knowledge about the specific network system. It is proposed to model this domain knowledge using Interval Type-2 Fuzzy Logic rules, which linguistically describe the relationship between various features of the network communication and the possibility of a cyber attack. The proposed method was tested on experimental smart grid system demonstrating enhanced cyber-security.

  13. Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization Artificial Neural Networks

    E-Print Network [OSTI]

    Kjellström, Hedvig

    Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization Artificial Neural Networks Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization 1 Artificial Neural Networks Properties Applications Classical Examples Biological Background 2 Single Layer

  14. Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization Artificial Neural Networks

    E-Print Network [OSTI]

    Kjellström, Hedvig

    Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization Artificial Neural Networks #12;Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization 1 Artificial Neural Networks Properties Applications Classical Examples Biological Background 2

  15. agricultural research knowledge: Topics by E-print Network

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

    that most secondary science teachers Rambaut, Andrew 2 United States Department of Agriculture Agricultural Research Service Environmental Sciences and Ecology Websites Summary:...

  16. arthritis current knowledge: Topics by E-print Network

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

    the endpoints of the scale)? Is a change in the number of anchor points and their distribution over the total scale important? Could better instructions for scoring within...

  17. agricultural knowledge science: Topics by E-print Network

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

    Sciences Agricultural Economics Marine industry studies Corporate social Materials Science Plasma Physics Toxicology Aquatic ecosystems 12;Engineering Biological...

  18. Verification of Medical Guidelines Using Background Knowledge in Task Networks

    E-Print Network [OSTI]

    Groot, Perry

    and to formalize criteria for good medical practice that a guideline should comply with. This framework are mainly concerned with checking the general quality criteria of good medical practice that a guideline on sound scientific evidence, which has been called evidence-based medicine [1], [2]. In practice, this has

  19. agriculture agricultural knowledge: Topics by E-print Network

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

    Websites Summary: May 2011 New Challenges in Agricultural Modeling: Relating Enegy and Farm of Education, Office of Civil Rights. 12;1 New Challenges in Agricultural...

  20. address knowledge compassion: Topics by E-print Network

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

    derived... of the heavens. But the Carolinian navigators are only one of numerous seafaring peoples whose maritime technology and traditions share common threads stretched...

  1. atmospheres psychiatric knowledge: Topics by E-print Network

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

    to optical depth perturbations. In Earth-type atmospheres sustained planetary greenhouse effect with a stable ground surface temperature can only exist at a particular...

  2. United Nations Energy Knowledge Network (UN-Energy) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLC Place:Unalakleet JumpInformationInformation

  3. IGENPRO knowledge-based operator support system.

    SciTech Connect (OSTI)

    Morman, J. A.

    1998-07-01T23:59:59.000Z

    Research and development is being performed on the knowledge-based IGENPRO operator support package for plant transient diagnostics and management to provide operator assistance during off-normal plant transient conditions. A generic thermal-hydraulic (T-H) first-principles approach is being implemented using automated reasoning, artificial neural networks and fuzzy logic to produce a generic T-H system-independent/plant-independent package. The IGENPRO package has a modular structure composed of three modules: the transient trend analysis module PROTREN, the process diagnostics module PRODIAG and the process management module PROMANA. Cooperative research and development work has focused on the PRODIAG diagnostic module of the IGENPRO package and the operator training matrix of transients used at the Braidwood Pressurized Water Reactor station. Promising simulator testing results with PRODIAG have been obtained for the Braidwood Chemical and Volume Control System (CVCS), and the Component Cooling Water System. Initial CVCS test results have also been obtained for the PROTREN module. The PROMANA effort also involves the CVCS. Future work will be focused on the long-term, slow and mild degradation transients where diagnoses of incipient T-H component failure prior to forced outage events is required. This will enhance the capability of the IGENPRO system as a predictive maintenance tool for plant staff and operator support.

  4. Interests Diffusion in Social Networks

    E-Print Network [OSTI]

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

    2015-01-01T23:59:59.000Z

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

  5. A generic knowledge Model for SME Supply Chain Based on Multiagent Paradigm

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A generic knowledge Model for SME Supply Chain Based on Multiagent Paradigm Jihene Tounsi1 Enterprises (SME). These companies evolve in an unstable and complex network. In order to guarantee its role in a supply chain, SME must be able to support the inherent requirements of the supply chain (low lead times

  6. Constructing a Knowledge Base for Gene Regulatory Dynamics by Formal Concept Analysis Methods

    E-Print Network [OSTI]

    Wollbold, Johannes; Ganter, Bernhard

    2008-01-01T23:59:59.000Z

    Our aim is to build a set of rules, such that reasoning over temporal dependencies within gene regulatory networks is possible. The underlying transitions may be obtained by discretizing observed time series, or they are generated based on existing knowledge, e.g. by Boolean networks or their nondeterministic generalization. We use the mathematical discipline of formal concept analysis (FCA), which has been applied successfully in domains as knowledge representation, data mining or software engineering. By the attribute exploration algorithm, an expert or a supporting computer program is enabled to decide about the validity of a minimal set of implications and thus to construct a sound and complete knowledge base. From this all valid implications are derivable that relate to the selected properties of a set of genes. We present results of our method for the initiation of sporulation in Bacillus subtilis. However the formal structures are exhibited in a most general manner. Therefore the approach may be adapte...

  7. Network Economics Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

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

  8. Analysis of informal communication networks - a case study

    E-Print Network [OSTI]

    Schoder, Detlef

    The structure and dynamics of informal communication networks are of central importance for the functionality of enterprise workflows and for performance and innovation of knowledge-centric organizations. While most ...

  9. MASTER OF TECHNOLOGY IN KNOWLEDGE ENGINEERING

    E-Print Network [OSTI]

    Chaudhuri, Sanjay

    MASTER OF TECHNOLOGY IN KNOWLEDGE ENGINEERING Become a Leader & INNOVATORin INTELLIGENT SYSTEMS treatment options. The Master of Technology in Knowledge Engineering will equip you with the skills) in Knowledge Engineering (KE) draws on the rich resources of the Institute of Systems Science (ISS

  10. IAI : Knowledge Representation John A. Bullinaria, 2005

    E-Print Network [OSTI]

    Bullinaria, John

    is a Knowledge Representation? 3. Requirements of a Knowledge Representation 4. Practical Aspects of Good5-5 Practical Aspects of Good Representations In practice, the theoretical requirements for good Dictionary provides as good a definition as any: knowledge, nolij, n. assured belief; that which is known

  11. Biofuel Enduse Datasets from the Bioenergy Knowledge Discovery Framework (KDF)

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

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

    Holdings include datasets, models, and maps. This is a very new resource, but the collections will grow due to both DOE contributions and individualsÆ data uploads. Currently the Biofuel Enduse collection includes 133 items. Most of these are categorized as literature, but 36 are listed as datasets and ten as models.

  12. Network Maps of Technology Fields: How Measures of Relatedness Influence Network Structures

    E-Print Network [OSTI]

    Yan, Bowen

    2015-01-01T23:59:59.000Z

    The structure of the total technology space, together with the specialized knowledge positions of the inventors, companies and countries, conditions the prospect of their next innovations. Prior studies have proposed representing the technology space as a network of patent technology classes connected by links weighted according to their relatedness. Although the choice of relatedness measures affects the structure of the resulting networks, such measures have not been assessed in terms of their influences on network structures. In this paper, we first present six measures based on the similarity of knowledge bases of different technology fields and, alternatively, on the likelihood for inventors, organizations or countries to diversify across technology fields. Then, we compare the resulting networks in terms of network structures, vertex and edge properties and their predictability on the importance of the represented technology fields. Based on USPTO patent data from 1976 to 2010 and International Patent C...

  13. Category 1: Epistemology (EPIST) Scientific knowledge is the most objective form of knowledge.

    E-Print Network [OSTI]

    Cobern, William W.

    ) Science helps develop our natural resources such as coal, gas, oil, and solar energy. Scientific knowledge today because of scientific knowledge. The development of our natural resources, such as coal, gas, oil knowledge is the truest form of knowledge. Alpha = 0.7475 Category 2: Scientific & the Economy (ECON

  14. Agent organization in the knowledge plane

    E-Print Network [OSTI]

    Li, Ji, 1975-

    2008-01-01T23:59:59.000Z

    In designing and building a network like the Internet, we continue to face the problems of scale and distribution. With the dramatic expansion in scale and heterogeneity of the Internet, network management has become an ...

  15. Agent Organization in the Knowledge Plane

    E-Print Network [OSTI]

    Li, Ji

    2008-06-11T23:59:59.000Z

    In designing and building a network like the Internet, we continue to face the problems of scale and distribution. With the dramatic expansion in scale and heterogeneity of the Internet, network management has become an ...

  16. Efficient network camouflaging in wireless networks 

    E-Print Network [OSTI]

    Jiang, Shu

    2006-04-12T23:59:59.000Z

    when protected networks are wireless networks, such as sensor networks and mobile ad hoc networks. The reason is that wireless networks are typically subject to resource constraints (e.g. bandwidth, power supply) and possess some unique characteristics...

  17. M.S. ABDULLAH, I. BENEST, A. EVANS, and C. KIMBLE, Knowledge Modelling Techniques For Developing Knowledge Management Systems, 3rd European Conference on

    E-Print Network [OSTI]

    Kimble, Chris

    modelling, knowledge management, knowledge management system, knowledge, knowledge engineering. 1M.S. ABDULLAH, I. BENEST, A. EVANS, and C. KIMBLE, Knowledge Modelling Techniques For Developing Knowledge Management Systems, 3rd European Conference on Knowledge Management, Dublin, Ireland, September

  18. Status of the NDLTD Networked Digital Library of Theses

    E-Print Network [OSTI]

    Beex, A. A. "Louis"

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

  19. Temporal Privacy in Wireless Sensor Networks: Theory and Practice

    E-Print Network [OSTI]

    Xu, Wenyuan

    with knowledge of the network deployment, routing algorithms, and the base-station (data sink) location can infer that effectively manages these tradeoffs. Finally, we evaluate our privacy enhancement strategies using simulations, Measurement, Performance, Theory Additional Key Words and Phrases: Sensor networks, privacy, security

  20. Data structures and apparatuses for representing knowledge

    DOE Patents [OSTI]

    Hohimer, Ryan E; Thomson, Judi R; Harvey, William J; Paulson, Patrick R; Whiting, Mark A; Tratz, Stephen C; Chappell, Alan R; Butner, Robert S

    2014-02-18T23:59:59.000Z

    Data structures and apparatuses to represent knowledge are disclosed. The processes can comprise labeling elements in a knowledge signature according to concepts in an ontology and populating the elements with confidence values. The data structures can comprise knowledge signatures stored on computer-readable media. The knowledge signatures comprise a matrix structure having elements labeled according to concepts in an ontology, wherein the value of the element represents a confidence that the concept is present in an information space. The apparatus can comprise a knowledge representation unit having at least one ontology stored on a computer-readable medium, at least one data-receiving device, and a processor configured to generate knowledge signatures by comparing datasets obtained by the data-receiving devices to the ontologies.

  1. Supporting Knowledge Transfer through Decomposable Reasoning Artifacts

    SciTech Connect (OSTI)

    Pike, William A.; May, Richard A.; Turner, Alan E.

    2007-01-03T23:59:59.000Z

    Technology to support knowledge transfer and cooperative inquiry must offer its users the ability to effectively interpret knowledge structures produced by collaborators. Communicating the reasoning processes that underlie a finding is one method for enhancing interpretation, and can result in more effective evaluation and application of shared knowledge. In knowledge management tools, interpretation is aided by creating knowledge artifacts that can expose their provenance to scrutiny and that can be transformed into diverse representations that suit their consumers’ perspectives and preferences. We outline the information management needs of inquiring communities characterized by hypothesis generation tasks, and propose a model for communication, based in theories of hermeneutics, semiotics, and abduction, in which knowledge structures can be decomposed into the lower-level reasoning artifacts that produced them. We then present a proof-of-concept implementation for an environment to support the capture and communication of analytic products, with emphasis on the domain of intelligence analysis.

  2. On Facebook, Most Ties are Weak The emergence of pervasive socio-technical networks brings new

    E-Print Network [OSTI]

    Ferrara, Emilio

    On Facebook, Most Ties are Weak Abstract The emergence of pervasive socio-technical networks brings's theory can be extended to online social networks like Facebook, suggesting to use interaction data requires knowledge of the topology of the social network, e.g., who is friend with whom on Facebook. Our

  3. Dynamic Supernetworks for the Integration of Social Networks and Supply Chains with

    E-Print Network [OSTI]

    Nagurney, Anna

    of Social Networks in Economic Transactions · Examples from Marketing ­ Relationship marketing · Ganesan visualization tools #12;Applications of Supernetworks · Telecommuting/Commuting Decision-Making · Teleshopping Transactions · Reverse Supply Chains with E-Cycling · Energy Networks/Power Grids · Knowledge Networks #12;The

  4. Hydrothermal Exploration Best Practices and Geothermal Knowledge...

    Open Energy Info (EERE)

    on Openei Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: Hydrothermal Exploration Best Practices and Geothermal Knowledge Exchange on Openei...

  5. Central Characterization Program (CCP), Acceptable Knowledge...

    Office of Environmental Management (EM)

    for Los Alamos National Laboratory, TA-55 Mixed Transuranic Waste Streams Central Characterization Program (CCP), Acceptable Knowledge Summary Report for Los Alamos National...

  6. Knowledge and Skill Representations for Robotized Production

    E-Print Network [OSTI]

    Malec, Jacek

    : Model-based control, Knowledge representation, System architectures, Autonomous control, Industrial robots 1. INTRODUCTION Model-based systems in control are a means to utilize effi- ciently human

  7. Multimedia Knowledge Integration, Summarization and Evaluation Ana B. Benitez

    E-Print Network [OSTI]

    Chang, Shih-Fu

    Multimedia Knowledge Integration, Summarization and Evaluation Ana B. Benitez Department multimedia knowledge. These are essential for multimedia applications to efficiently and coherently deal with multimedia knowledge at different abstraction levels such as perceptual and semantic knowledge (e.g., image

  8. Learning Energy Demand Domain Knowledge via Feature Transformation

    E-Print Network [OSTI]

    Povinelli, Richard J.

    Learning Energy Demand Domain Knowledge via Feature Transformation Sanzad Siddique Department -- Domain knowledge is an essential factor for forecasting energy demand. This paper introduces a method knowledge substantially improves energy demand forecasting accuracy. However, domain knowledge may differ

  9. Sensor networks for social networks

    E-Print Network [OSTI]

    Farry, Michael P. (Michael Patrick)

    2006-01-01T23:59:59.000Z

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

  10. A Knowledge-Engine Architecture for a Competence Management Information

    E-Print Network [OSTI]

    Kimble, Chris

    A Knowledge-Engine Architecture for a Competence Management Information System José Braga de to develop a knowledge-engine architecture that is being specified and developed by a Portuguese software Engineering, Knowledge Management, Knowledge-Engine, Ontology Design, Organizational Knowledge #12;A Knowledge-Engine

  11. CHAPTER 5 KNOWLEDGE BASE ISSUES 5.1 Introduction

    E-Print Network [OSTI]

    O'Connor, Rory

    areas of knowledge engineering and knowledge representation are introduced, and the issues of choosing are investigated. 5.2 Knowledge Engineering The term Knowledge Engineering is now commonly used to describe the process of Knowledge Based System (KBS) development. Knowledge engineering includes [Smith, 96

  12. Computationally Efficient Neural Network Intrusion Security Awareness

    SciTech Connect (OSTI)

    Todd Vollmer; Milos Manic

    2009-08-01T23:59:59.000Z

    An enhanced version of an algorithm to provide anomaly based intrusion detection alerts for cyber security state awareness is detailed. A unique aspect is the training of an error back-propagation neural network with intrusion detection rule features to provide a recognition basis. Network packet details are subsequently provided to the trained network to produce a classification. This leverages rule knowledge sets to produce classifications for anomaly based systems. Several test cases executed on ICMP protocol revealed a 60% identification rate of true positives. This rate matched the previous work, but 70% less memory was used and the run time was reduced to less than 1 second from 37 seconds.

  13. Applied knowledge to meet society's needs.

    E-Print Network [OSTI]

    Langendoen, Koen

    Applied knowledge to meet society's needs. Applied Physics covers phenomena ranging from knowledge and hands-on experience in experimental techniques, theoretical analysis, simulation and modelling of radiation. The focus of the research is on energy and health. While the topics addressed ­ covering

  14. Knowledge Framework Implementation with Multiple Architectures - 13090

    SciTech Connect (OSTI)

    Upadhyay, H.; Lagos, L.; Quintero, W.; Shoffner, P. [Applied Research Center, Florida International University, Miami, FL 33174 (United States)] [Applied Research Center, Florida International University, Miami, FL 33174 (United States); DeGregory, J. [Office of D and D and Facility Engineering, Environmental Management, Department of Energy (United States)] [Office of D and D and Facility Engineering, Environmental Management, Department of Energy (United States)

    2013-07-01T23:59:59.000Z

    Multiple kinds of knowledge management systems are operational in public and private enterprises, large and small organizations with a variety of business models that make the design, implementation and operation of integrated knowledge systems very difficult. In recent days, there has been a sweeping advancement in the information technology area, leading to the development of sophisticated frameworks and architectures. These platforms need to be used for the development of integrated knowledge management systems which provides a common platform for sharing knowledge across the enterprise, thereby reducing the operational inefficiencies and delivering cost savings. This paper discusses the knowledge framework and architecture that can be used for the system development and its application to real life need of nuclear industry. A case study of deactivation and decommissioning (D and D) is discussed with the Knowledge Management Information Tool platform and framework. D and D work is a high priority activity across the Department of Energy (DOE) complex. Subject matter specialists (SMS) associated with DOE sites, the Energy Facility Contractors Group (EFCOG) and the D and D community have gained extensive knowledge and experience over the years in the cleanup of the legacy waste from the Manhattan Project. To prevent the D and D knowledge and expertise from being lost over time from the evolving and aging workforce, DOE and the Applied Research Center (ARC) at Florida International University (FIU) proposed to capture and maintain this valuable information in a universally available and easily usable system. (authors)

  15. Knowledge representation in process engineering Ulrike Sattler

    E-Print Network [OSTI]

    Baader, Franz

    Knowledge representation in process engineering Ulrike Sattler RWTH Aachen, uli, the tasks we are concerned with in process engineering are described as well as how knowledge representation@cantor.informatik.rwth­aachen.de Abstract Process engineering is surely no pure con­ figuration application, but modeling the structure

  16. Rural Knowledge Clusters: Implications for Minnesota State

    E-Print Network [OSTI]

    Levinson, David M.

    communities face tremendous challenges in adapting to a knowledge-based global economy. The "knowledge economy to innovate. Traditional rural economic staples are under growing pressure due to globalization of markets, and diseconomies of scale and outmigration hinder adjustment in the rural economy. Consequently a growing gap

  17. OBJECTIVES OF THE EDINBURGH KNOWLEDGE ENVIRONMENT

    E-Print Network [OSTI]

    Painter, Kevin

    OBJECTIVES OF THE EDINBURGH KNOWLEDGE ENVIRONMENT PARTNERSHIP The University of Edinburgh, Heriot and natural environment. The Edinburgh Knowledge Environment Partnership will thus provide a unique research between key stakeholders in the built and natural environment and to reach out in assisting

  18. A Product Software Knowledge Infrastructure for

    E-Print Network [OSTI]

    Utrecht, Universiteit

    1 A Product Software Knowledge Infrastructure for Situational Capability Maturation: Vision and Case Studies in Product Management Inge van de Weerd, Johan Versendaal and Sjaak Brinkkemper Department-3275 #12;2 A Product Software Knowledge Infrastructure for Situational Capability Maturation: Vision

  19. Cognitive Radio Networks as Sensor Networks

    E-Print Network [OSTI]

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

    2007-01-01T23:59:59.000Z

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

  20. KNOWLEDGE WEB: REALISING THE SEMANTIC WEB... ALL THE WAY TO KNOWLEDGE ENHANCED MULTIMEDIA

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    KNOWLEDGE WEB: REALISING THE SEMANTIC WEB... ALL THE WAY TO KNOWLEDGE ENHANCED MULTIMEDIA DOCUMENTS benefit knowledge-enhanced multimedia applications. 1. Introduction The current World Wide Web (WWW) is without some pre-existing, human- created agreements outside the web. This applies to multimedia documents

  1. Constructing Information Networks from Text Documents

    E-Print Network [OSTI]

    Toivonen, Hannu

    Constructing Information Networks from Text Documents Matjaz Jursic1 , Nada Lavrac1,2 , Igor representation of data/knowledge generated from text documents available on the web. The problem addressed is how of information source complexity ­ type diversity as well as volume size. Efficient management and processing

  2. Continuous Time Bayesian Network Approximate Inference and Social Network Applications

    E-Print Network [OSTI]

    Fan, Yu

    2009-01-01T23:59:59.000Z

    Modeling Social Network Dynamics . . . . . . . . . . . .85 Social Network Dynamic85 Static Social Network Models . . . . . . . . . . . . .

  3. Incremental learning for automated knowledge capture.

    SciTech Connect (OSTI)

    Benz, Zachary O.; Basilico, Justin Derrick; Davis, Warren Leon,; Dixon, Kevin R.; Jones, Brian S.; Martin, Nathaniel; Wendt, Jeremy Daniel

    2013-12-01T23:59:59.000Z

    People responding to high-consequence national-security situations need tools to help them make the right decision quickly. The dynamic, time-critical, and ever-changing nature of these situations, especially those involving an adversary, require models of decision support that can dynamically react as a situation unfolds and changes. Automated knowledge capture is a key part of creating individualized models of decision making in many situations because it has been demonstrated as a very robust way to populate computational models of cognition. However, existing automated knowledge capture techniques only populate a knowledge model with data prior to its use, after which the knowledge model is static and unchanging. In contrast, humans, including our national-security adversaries, continually learn, adapt, and create new knowledge as they make decisions and witness their effect. This artificial dichotomy between creation and use exists because the majority of automated knowledge capture techniques are based on traditional batch machine-learning and statistical algorithms. These algorithms are primarily designed to optimize the accuracy of their predictions and only secondarily, if at all, concerned with issues such as speed, memory use, or ability to be incrementally updated. Thus, when new data arrives, batch algorithms used for automated knowledge capture currently require significant recomputation, frequently from scratch, which makes them ill suited for use in dynamic, timecritical, high-consequence decision making environments. In this work we seek to explore and expand upon the capabilities of dynamic, incremental models that can adapt to an ever-changing feature space.

  4. NetworksNetworks andand hypernetworkshypernetworks 33

    E-Print Network [OSTI]

    Vilela Mendes, Rui

    NetworksNetworks andand hypernetworkshypernetworks 33 NetworksNetworks inin economyeconomy Rui.1 #12;TheThe networksnetworks ofof thethe corporatecorporate eliteelite TheThe Elite 16Elite 16 inin informationinformation inin thethe networknetwork !! CorporateCorporate governancegovernance practicespractices

  5. A Combined Doctrine of Knowledge for Plato

    E-Print Network [OSTI]

    Laidlaw-Johnson, E. A.

    describes the soul as a long-lived thing that wears out several short-lived bodies much as a person wears out several coats in a life time (Ph. 87d). While this soul/body distinction will aid in our understanding of knowledge, it is the soul...—a man's recollection of a single piece of knowledge. The characterizations of learning in the Phaedo and Meno are compatible with the theory of knowledge via recollection-the doctrine introduced in the Meno. Gearly, both the Phaedo and Meno accounts...

  6. Routing in hybrid networks

    E-Print Network [OSTI]

    Gupta, Avinash

    2001-01-01T23:59:59.000Z

    Hybrid networks are networks that have wired as well as wireless components. Several routing protocols exist for traditional wired networks and mobile ad-hoc networks. However, there are very few routing protocols designed for hybrid networks...

  7. Peer-to-Peer Networks Social Networks

    E-Print Network [OSTI]

    Marbach, Peter

    Overview Peer-to-Peer Networks Social Networks Research Hybrid Peer-to-Peer Networks P2P and Online Social Networks: The Best Has Yet to Come Peter Marbach, Dept. of Computer Science University of Toronto P2P and Online Social Networks: The Best Has Yet to Come #12;Overview Peer-to-Peer Networks Social

  8. Toward the 24-Hour Knowledge Factory

    E-Print Network [OSTI]

    Gupta, Amar

    2004-03-12T23:59:59.000Z

    The term 24-Hour Knowledge Factory connotes a globally distributed work environment in which members of the global team work on a project around the clock; each member of the team works the normal workday hours that pertain ...

  9. Toward the 24-Hour Knowledge Factory

    E-Print Network [OSTI]

    Gupta, Amar

    2004-12-10T23:59:59.000Z

    The term 24-Hour Knowledge Factory connotes a globally distributed work environment in which members of the global team work on a project around the clock; each member of the team works the normal workday ...

  10. Explicit Evidence Systems with Common Knowledge

    E-Print Network [OSTI]

    Sola, Rolf Haenni

    Explicit Evidence Systems with Common Knowledge Samuel Bucheli, Roman Kuznets, and Thomas Studer Institut f¨ur Informatik und angewandte Mathematik, Universit¨at Bern Bern, Switzerland { bucheli, kuznets

  11. Speech production knowledge in automatic speech recognition 

    E-Print Network [OSTI]

    King, Simon; Frankel, Joe; Livescu, Karen; McDermott, Erik; Richmond, Korin; Wester, Mirjam

    2007-01-01T23:59:59.000Z

    Although much is known about how speech is produced, and research into speech production has resulted in measured articulatory data, feature systems of different kinds and numerous models, speech production knowledge is almost totally ignored...

  12. Data Mining and Knowledge Discovery: Practice Notes

    E-Print Network [OSTI]

    Novak, Petra Kralj

    1 Data Mining and Knowledge Discovery: Practice Notes Petra Kralj Novak Petra.Kralj.Novak@ijs.si and exam · 2013/1/15: Written exam, seminar proposal discussion · 2013/2/12: Data mining seminar

  13. Data Mining and Knowledge Discovery: Practice Notes

    E-Print Network [OSTI]

    Novak, Petra Kralj

    1 Data Mining and Knowledge Discovery: Practice Notes Petra Kralj Novak Petra.Kralj.Novak@ijs.si on Weka 3: Descriptive data mining ­ Discussion about seminars and exam · 2013/12/16: Written exam

  14. DesignMinders: Preserving and Sharing Informal Software Design Knowledge

    E-Print Network [OSTI]

    van der Hoek, André

    DesignMinders: Preserving and Sharing Informal Software Design Knowledge Gerald Bortis and André knowledge. For example, knowledge management systems that allow developers to populate and search, andre}@ics.uci.edu Abstract. Software design is a knowledge-intensive activity. Knowledge is both

  15. Towards Continuous Knowledge Engineering Klaas Schilstra and Pieter Spronck

    E-Print Network [OSTI]

    Spronck, Pieter

    Towards Continuous Knowledge Engineering Klaas Schilstra and Pieter Spronck Knowledge Based Systems.schilstra; p.spronck}@bouw.tno.nl www.tno.nl Abstract: Continuous Knowledge Engineering is an alternative approach to knowledge engineering that embraces the philosophy that knowledge systems are open

  16. Grid of security: a new approach of the network security Olivier FLAUZAC, Florent NOLOT, Cyril RABAT, Luiz-Angelo STEFFENEL

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Grid of security: a new approach of the network security Olivier FLAUZAC, Florent NOLOT, Cyril-angelo.steffenel}@univ-reims.fr Abstract--Network security is in a daily evolving domain. Every day, new attacks, virus or intrusion knowledge, a distributed and easily manageable solution for the global security of an enterprise network

  17. On the Modular Dynamics of Financial Market Networks

    E-Print Network [OSTI]

    Silva, Filipi N; Peron, Thomas K DM; Rodrigues, Francisco A; Ye, Cheng; Wilson, Richard C; Costa, Edwin Hancockm Luciano da F

    2015-01-01T23:59:59.000Z

    The financial market is a complex dynamical system composed of a large variety of intricate relationships between several entities, such as banks, corporations and institutions. At the heart of the system lies the stock exchange mechanism, which establishes a time-evolving network of transactions among companies and individuals. Such network can be inferred through correlations between time series of companies stock prices, allowing the overall system to be characterized by techniques borrowed from network science. Here we study the presence of communities in the inferred stock market network, and show that the knowledge about the communities alone can provide a nearly complete representation of the system topology. This is done by defining a simple random model sharing only the sizes and interconnectivity between communities observed in the time-evolving stock market network. We show that many topological characteristics of the inferred networks are preserved in the modeled networks. In particular, we find t...

  18. An Ontological Schema for Sharing Conceptual Engineering Knowledge

    E-Print Network [OSTI]

    Mizoguchi, Riichiro

    An Ontological Schema for Sharing Conceptual Engineering Knowledge Yoshinobu Kitamura and Riichiro have been suffering the difficulty in sharing conceptual engineering knowledge about functionality. Introduction In the engineering design community, the importance of knowledge sharing among designers has been

  19. ARKTOS: a knowledge engineering software tool for images

    E-Print Network [OSTI]

    Soh, L. K.; Tsatsoulis, Costas

    2002-12-01T23:59:59.000Z

    The goal of our ARKTOS project is to build an intelligent knowledge-based system to classify satellite sea ice images. It involves acquiring knowledge from sea ice experts, quantifying such knowledge as computational entities and ultimately building...

  20. Knowledge Integration to Make Decisions About Complex Systems: Sustainability of Energy Production from Agriculture

    ScienceCinema (OSTI)

    Francesco Danuso

    2010-01-08T23:59:59.000Z

    A major bottleneck for improving the governance of complex systems, rely on our ability to integrate different forms of knowledge into a decision support system (DSS). Preliminary aspects are the classification of different types of knowledge (a priori or general, a posteriori or specific, with uncertainty, numerical, textual, algorithmic, complete/incomplete, etc.), the definition of ontologies for knowledge management and the availability of proper tools like continuous simulation models, event driven models, statistical approaches, computational methods (neural networks, evolutionary optimization, rule based systems etc.) and procedure for textual documentation. Following these views at University of Udine, a computer language (SEMoLa, Simple, Easy Modelling Language) for knowledge integration has been developed.  SEMoLa can handle models, data, metadata and textual knowledge; it implements and extends the system dynamics ontology (Forrester, 1968; Jørgensen, 1994) in which systems are modelled by the concepts of material, group, state, rate, parameter, internal and external events and driving variables. As an example, a SEMoLa model to improve management and sustainability (economical, energetic, environmental) of the agricultural farms is presented. The model (X-Farm) simulates a farm in which cereal and forage yield, oil seeds, milk, calves and wastes can be sold or reused. X-Farm is composed by integrated modules describing fields (crop and soil), feeds and materials storage, machinery management, manpower  management, animal husbandry, economic and energetic balances, seed oil extraction, manure and wastes management, biogas production from animal wastes and biomasses.

  1. Knowledge Integration to Make Decisions About Complex Systems: Sustainability of Energy Production from Agriculture

    SciTech Connect (OSTI)

    Danuso, Francesco (University of Udine) [University of Udine

    2008-06-18T23:59:59.000Z

    A major bottleneck for improving the governance of complex systems, rely on our ability to integrate different forms of knowledge into a decision support system (DSS). Preliminary aspects are the classification of different types of knowledge (a priori or general, a posteriori or specific, with uncertainty, numerical, textual, algorithmic, complete/incomplete, etc.), the definition of ontologies for knowledge management and the availability of proper tools like continuous simulation models, event driven models, statistical approaches, computational methods (neural networks, evolutionary optimization, rule based systems etc.) and procedure for textual documentation. Following these views at University of Udine, a computer language (SEMoLa, Simple, Easy Modelling Language) for knowledge integration has been developed. SEMoLa can handle models, data, metadata and textual knowledge; it implements and extends the system dynamics ontology (Forrester, 1968; Joergensen, 1994) in which systems are modeled by the concepts of material, group, state, rate, parameter, internal and external events and driving variables. As an example, a SEMoLa model to improve management and sustainability (economical, energetic, environmental) of the agricultural farms is presented. The model (X-Farm) simulates a farm in which cereal and forage yield, oil seeds, milk, calves and wastes can be sold or reused. X-Farm is composed by integrated modules describing fields (crop and soil), feeds and materials storage, machinery management, manpower management, animal husbandry, economic and energetic balances, seed oil extraction, manure and wastes management, biogas production from animal wastes and biomasses.

  2. Knowledge Integration to Make Decisions About Complex Systems: Sustainability of Energy Production from Agriculture

    SciTech Connect (OSTI)

    Francesco Danuso

    2008-06-18T23:59:59.000Z

    A major bottleneck for improving the governance of complex systems, rely on our ability to integrate different forms of knowledge into a decision support system (DSS). Preliminary aspects are the classification of different types of knowledge (a priori or general, a posteriori or specific, with uncertainty, numerical, textual, algorithmic, complete/incomplete, etc.), the definition of ontologies for knowledge management and the availability of proper tools like continuous simulation models, event driven models, statistical approaches, computational methods (neural networks, evolutionary optimization, rule based systems etc.) and procedure for textual documentation. Following these views at University of Udine, a computer language (SEMoLa, Simple, Easy Modelling Language) for knowledge integration has been developed.  SEMoLa can handle models, data, metadata and textual knowledge; it implements and extends the system dynamics ontology (Forrester, 1968; Jørgensen, 1994) in which systems are modelled by the concepts of material, group, state, rate, parameter, internal and external events and driving variables. As an example, a SEMoLa model to improve management and sustainability (economical, energetic, environmental) of the agricultural farms is presented. The model (X-Farm) simulates a farm in which cereal and forage yield, oil seeds, milk, calves and wastes can be sold or reused. X-Farm is composed by integrated modules describing fields (crop and soil), feeds and materials storage, machinery management, manpower  management, animal husbandry, economic and energetic balances, seed oil extraction, manure and wastes management, biogas production from animal wastes and biomasses.

  3. Designing a Bayesian Network for Preventive Maintenance from Expert Opinions in a Rapid

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Designing a Bayesian Network for Preventive Maintenance from Expert Opinions in a Rapid-Linear Model, Expert Opinion, Complexity Reduction, Maintenance. 1 Introduction Preventive maintenance became essential. Preventive maintenance of a system is taking into account expert knowledge, feedback

  4. Building Bayesian Networks through Ontologies Eveline M. Helsper 1 and Linda C. van der Gaag 1

    E-Print Network [OSTI]

    Utrecht, Universiteit

    Building Bayesian Networks through Ontologies Eveline M. Helsper 1 and Linda C. van der Gaag 1 Utrecht, The Netherlands. Email: {eveline,linda}@cs.uu.nl In this paper, we propose a knowledge

  5. Explicit Evidence Systems with Common Knowledge

    E-Print Network [OSTI]

    Bucheli, Samuel; Studer, Thomas

    2010-01-01T23:59:59.000Z

    Justification logics are epistemic logics that explicitly include justifications for the agents' knowledge. We develop a multi-agent justification logic with evidence terms for individual agents as well as for common knowledge. We define a Kripke-style semantics that is similar to Fitting's semantics for the Logic of Proofs LP. We show the soundness, completeness, and finite model property of our multi-agent justification logic with respect to this Kripke-style semantics. We demonstrate that our logic is a conservative extension of Yavorskaya's minimal bimodal explicit evidence logic, which is a two-agent version of LP. We discuss the relationship of our logic to the multi-agent modal logic S4 with common knowledge. Finally, we give a brief analysis of the coordinated attack problem in the newly developed language of our logic.

  6. The Machinery of Knowledge: An Ontology-Registry for a Geospatial Knowledge

    E-Print Network [OSTI]

    Stock, Kristin

    1 The Machinery of Knowledge: An Ontology-Registry for a Geospatial Knowledge Infrastructure for Geospatial Science, University of Nottingham, UK 2 Allworlds Geothinking, UK 3 EDINA, UK 4 Cardiff University *Corresponding author: Centre for Geospatial Science, School of Geography, University of Nottingham, NG7 2RD, UK

  7. A multivalued knowledge-base model

    E-Print Network [OSTI]

    Achs, Agnes

    2010-01-01T23:59:59.000Z

    The basic aim of our study is to give a possible model for handling uncertain information. This model is worked out in the framework of DATALOG. At first the concept of fuzzy Datalog will be summarized, then its extensions for intuitionistic- and interval-valued fuzzy logic is given and the concept of bipolar fuzzy Datalog is introduced. Based on these ideas the concept of multivalued knowledge-base will be defined as a quadruple of any background knowledge; a deduction mechanism; a connecting algorithm, and a function set of the program, which help us to determine the uncertainty levels of the results. At last a possible evaluation strategy is given.

  8. The Varieties of Self-Knowledge

    E-Print Network [OSTI]

    Kabeshkin, Anton Sergeevich

    2012-07-16T23:59:59.000Z

    to it. In particular, drawing from the works of G.E.M. Anscombe5 and Kieran Setiya,6 I will attempt to link it with the so-called ?knowledge how.? However, this suggested link will have only the hypothetical status, and I will raise some problems...

  9. Removed Barriers: 3.32 Knowledge

    E-Print Network [OSTI]

    Fabrikant, Sara Irina

    Students Average Values from Entry and Exit Surveys for Participants in 2006 Workshops ENTRY 1 BarriersResults EXIT 2 Removed Barriers: 3.32 Knowledge 3.67 GIS 3.46 Data Access 3.68 Software Use 3

  10. Proof of Proximity of Knowledge Serge Vaudenay

    E-Print Network [OSTI]

    ://lasec.epfl.ch Abstract. Public-key distance bounding schemes are needed to defeat relay attacks in payment systems. So far, only two such schemes exist, but fail to fully protect against malicious provers. In this paper. Like proofs of knowledge, these protocols must satisfy completeness, soundness (protection

  11. Formalizing Information Security Knowledge Stefan Fenz

    E-Print Network [OSTI]

    Formalizing Information Security Knowledge Stefan Fenz Vienna University of Technology Vienna ontology which provides an on- tological structure for information security domain knowl- edge. Besides of the considered organization is incorporated. An evaluation conducted by an information security expert team has

  12. `KNOWLEDGE AND VIRTUE: RESPONSE TO KELP'

    E-Print Network [OSTI]

    Edinburgh, University of

    1 `KNOWLEDGE AND VIRTUE: RESPONSE TO KELP' DUNCAN PRITCHARD University of Edinburgh In a very interesting paper, `Pritchard on Virtue Epistemology', Christoph Kelp argues that my recent critique ability). In particular, RVE does not involve any appeal to an anti-luck condition.2 As Kelp makes clear

  13. The Life Sciences and Knowledge for a

    E-Print Network [OSTI]

    and environmental monitoring and assessment 2009­2012 #12;1SLU's strategy for research, education and environmental, education and environmental monitoring and assessment The Life Sciences and Knowledge for a Sustainable Future SLU's strategy for research, education and environmental monitoring and assessment 2009­2012 #12

  14. Global Emergence of Frontier Knowledge November 2013

    E-Print Network [OSTI]

    Yamamoto, Hirosuke

    , Infrastructure, Medical and Biologi- cal Engineering, Mineral Resources, Nano Physics, SustainabilityGlobal Emergence of Frontier Knowledge November 2013 Nov. 7th U.Católica (Casa Central) 09:00 Doors, Culture & Body, Earthquakes, Tsunami & Volcanoes, Element & Material Sciences, Food Resource

  15. Report on the project Building knowledge

    E-Print Network [OSTI]

    Report on the project Building knowledge To build citizens To build cities UPF CAMPUS ICÀRIA INTERNATIONAL PROJECT 2010 International Campus of Excellence Programme #12;UPF CAMPUS ICÀRIA INTERNATIONAL version of this document can be found at: www.upf.edu/icaria UPF CAMPUS ICÀRIA INTERNATIONAL PROJECT

  16. Data Mining and Knowledge Discovery: Practice Notes

    E-Print Network [OSTI]

    Novak, Petra Kralj

    1 Data Mining and Knowledge Discovery: Practice Notes dr. Petra Kralj Novak Petra.Kralj.Novak@ijs.si and exam · 2013/12/16: Written exam, seminar proposal discussion · 2014/1/8: Data mining seminar gain becomes the root 7. Divide the set S into subsets Si according to the values of A 8. Repeat steps

  17. Data Mining and Knowledge Petra Kralj Novak

    E-Print Network [OSTI]

    Novak, Petra Kralj

    1 Data Mining and Knowledge Discovery Petra Kralj Novak Petra.Kralj.Novak@ijs.si 2011/11/08 #12 in Weka ­ Discussion about seminars and exam ­ Hands on Weka 3 · 2011/12/20: Written exam, seminar. Divide the set S into subsets Si according to the values of A 8. Repeat steps 1-7 on each Si Test

  18. WEB OF KNOWLEDGE --WEB OF SCIENCE--

    E-Print Network [OSTI]

    Wu, Yih-Min

    WEB OF KNOWLEDGE --WEB OF SCIENCE-- #12; Web of Science (SCIE, SSCI, AHCI) EndNote Journal Citation Reports (JCR) Essential Science Indicators (ESI) ResearcherID.com #12;WEB OF SCIENCE ? · · · · EndNoteweb Copyright © 2009 Shou Ray Information Service Co., Ltd #12;Web of Science

  19. Knowledge-Projection for Tele-Maintenance

    E-Print Network [OSTI]

    Tu, Yicheng

    search ... · Linkage to Data Mining ­ Tightly coupled with dynamic process events ­ Real-time data it #12;! #12;33 The Knowledge Base Our underlying Dynamic Process XML/XSL technology makes it possible Components · Dynamic Process ­ Step-by-step description of events, decision points, drill-down points, data

  20. Prediction Markets Partition model of knowledge

    E-Print Network [OSTI]

    Fiat, Amos

    Prediction Markets Partition model of knowledge Distributed information markets Convergence time bounds Computational Aspects of Prediction Markets David M. Pennock and Rahul Sami December 5, 2012 Presented by: Rami Eitan David M. Pennock and Rahul Sami Computational Aspects of Prediction Markets #12

  1. Semantic Knowledge Management for Education Andrea Kohlhase

    E-Print Network [OSTI]

    Kohlhase, Michael

    Semantic Knowledge Management for Education Andrea Kohlhase Dept. of Mathematics and Computer.kohlhase@jacobs-university.de Abstract `Semantic technologies' are touted as the next big wave in Educational Technology notions e.g. of `seman- tics', yielding specific problems in their interplay. In this paper we take a look

  2. A SAGA OF KNOWLEDGE Table of Contents

    E-Print Network [OSTI]

    Charette, André

    The University moves out of the Latin Quarter onto Mount Royal, into a new building designed by architect Ernest, was a landmark in the annals of Francophone philanthropy. This report reflects the winds of renewal coursing teaching and lively student life. Ours is a saga of knowledge such has rarely unfolded in North America

  3. THE SOFTWARE KNOWLEDGE BASE Bertrand Meyer

    E-Print Network [OSTI]

    Meyer, Bertrand

    knowledge base" keeps track of software components and their properties; these properties are described, implementation, testing, project management). The use of the binary relational model for describing the properties of software is hacked by a theoretical study of the relations and constraints which play

  4. Alerts in BIOSIS Previews via ISI Web of Knowledge

    E-Print Network [OSTI]

    California at San Diego, University of

    Alerts in BIOSIS Previews® via ISI Web of Knowledge The alerting capability in ISI Web of Knowledge research. This powerful feature is accessible via the ISI Web of Knowledge homepage, where you can log on emailing of search results, follow these steps: 1. Sign in to ISI Web of Knowledge via the link on the ISI

  5. Knowledge Engineering for non-Engineers Tatiana Gavrilova

    E-Print Network [OSTI]

    Boyer, Edmond

    Knowledge Engineering for non-Engineers Tatiana Gavrilova Graduate School of Management - Saint be interesting for the knowledge engineering research and practicising community. KEYWORDS: knowledge engineering-233" DOI : 10.1007/978-3-642-16327-2_28 #12;2 Knowledge Engineering for non-Engineers is one

  6. Evaluating Verification and Validation Methods in Knowledge Engineering

    E-Print Network [OSTI]

    Chen-Burger, Yun-Heh (Jessica)

    Evaluating Verification and Validation Methods in Knowledge Engineering Alun Preece University: Verification and validation (V&V) techniques have always been an essential part of the knowledge engineering effective V&V techniques. 1. The Art of Knowledge Engineering Knowledge-based systems (KBS) have proven

  7. Applying Semantic Web Technologies to Knowledge Sharing in Aerospace Engineering

    E-Print Network [OSTI]

    Ciravegna, Fabio

    Applying Semantic Web Technologies to Knowledge Sharing in Aerospace Engineering A.-S. Dadzie , R. This paper details an integrated methodology to optimise Knowledge reuse and sharing, illustrated with a use of Knowledge from legacy documents via automated means, or directly in systems interfacing with Knowledge

  8. November, 1994 Page 1 MEASURING THE VALUE OF KNOWLEDGE 1

    E-Print Network [OSTI]

    Reich, Yoram

    ). The study of knowledge valuation methods is also motivated by more immediate reasons. The first and most general motivation is related to education and knowledge acquisition: Knowledge valuation methods can help is methodological: Knowledge valuation methods can support the evaluation of systems developed in research

  9. In Proc. of the 14th International Conference on Knowledge Engineering and Knowledge Management EKAW 2004, to appear.

    E-Print Network [OSTI]

    Mizoguchi, Riichiro

    In Proc. of the 14th International Conference on Knowledge Engineering and Knowledge Management. Functionality is one of the key concepts in understanding an artifact and in engineering domain knowledge. Although the importance of sharing of engineering knowledge in industry has been widely recognized, from

  10. City Knowledge Patterns: A standard for Smart City Knowledge management Nooshin Allahyari, Mark S. Fox, and Michael Gruninger

    E-Print Network [OSTI]

    City Knowledge Patterns: A standard for Smart City Knowledge management Nooshin Allahyari, Mark S in recogniz- ing knowledge requirements of city government. This model, which we denote as City Knowledge category of the city government, and is comprised of a set of inter-relate concepts and attributes

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

    E-Print Network [OSTI]

    Neely, Michael J.

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

  12. Connecting to the Internet Securely; Protecting Home Networks CIAC-2324

    SciTech Connect (OSTI)

    Orvis, W J; Krystosek, P; Smith, J

    2002-11-27T23:59:59.000Z

    With more and more people working at home and connecting to company networks via the Internet, the risk to company networks to intrusion and theft of sensitive information is growing. Working from home has many positive advantages for both the home worker and the company they work for. However, as companies encourage people to work from home, they need to start considering the interaction of the employee's home network and the company network he connects to. This paper discusses problems and solutions related to protection of home computers from attacks on those computers via the network connection. It does not consider protection of those systems from people who have physical access to the computers nor does it consider company laptops taken on-the-road. Home networks are often targeted by intruders because they are plentiful and they are usually not well secured. While companies have departments of professionals to maintain and secure their networks, home networks are maintained by the employee who may be less knowledgeable about network security matters. The biggest problems with home networks are that: Home networks are not designed to be secure and may use technologies (wireless) that are not secure; The operating systems are not secured when they are installed; The operating systems and applications are not maintained (for security considerations) after they are installed; and The networks are often used for other activities that put them at risk for being compromised. Home networks that are going to be connected to company networks need to be cooperatively secured by the employee and the company so they do not open up the company network to intruders. Securing home networks involves many of the same operations as securing a company network: Patch and maintain systems; Securely configure systems; Eliminate unneeded services; Protect remote logins; Use good passwords; Use current antivirus software; and Moderate your Internet usage habits. Most of these items do not take a lot of work, but require an awareness of the risks involved in not doing them or doing them incorrectly. The security of home networks and communications with company networks can be significantly improved by adding an appropriate software or hardware firewall to the home network and using a protected protocol such as Secure Sockets Layer (SSL), a Virtual Private Network (VPN), or Secure Shell (SSH) for connecting to the company network.

  13. A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation using First-Order Logic

    SciTech Connect (OSTI)

    Andrzejewski, D; Zhu, X; Craven, M; Recht, B

    2011-01-18T23:59:59.000Z

    Topic models have been used successfully for a variety of problems, often in the form of application-specific extensions of the basic Latent Dirichlet Allocation (LDA) model. Because deriving these new models in order to encode domain knowledge can be difficult and time-consuming, we propose the Fold-all model, which allows the user to specify general domain knowledge in First-Order Logic (FOL). However, combining topic modeling with FOL can result in inference problems beyond the capabilities of existing techniques. We have therefore developed a scalable inference technique using stochastic gradient descent which may also be useful to the Markov Logic Network (MLN) research community. Experiments demonstrate the expressive power of Fold-all, as well as the scalability of our proposed inference method.

  14. Knowledge Discovery, Knowledge Management and Enterprise-Wide Information Technology Tools Final Report

    SciTech Connect (OSTI)

    Patton, Robert M [ORNL; Symons, Christopher T [ORNL; Gorman, Bryan L [ORNL; Treadwell, Jim N [ORNL

    2012-04-01T23:59:59.000Z

    A final report on an ORNL task to establish a knowledge discovery and management tool to retrieve and recommend information from existing S&T documents for the Office of Naval Research Global.

  15. Beyond rules: development and evaluation of knowledge acquisition systems for educational knowledge-based modelling 

    E-Print Network [OSTI]

    Conlon, Thomas Hugh

    1997-01-01T23:59:59.000Z

    The technology of knowledge-based systems undoubtedly offers potential for educational modelling, yet its practical impact on today's school classrooms is very limited. To an extent this is because the tools presently ...

  16. Secure and efficient wireless networks

    E-Print Network [OSTI]

    Bellardo, John Michael

    2006-01-01T23:59:59.000Z

    CA Systems and Network Administrator California Integrationgives the campus network administrators complete admissionin engineered networks, enterprise administrators try to

  17. Inverse diffusion from knowledge of power densities

    E-Print Network [OSTI]

    Bal, Guillaume; Monard, Francois; Triki, Faouzi

    2011-01-01T23:59:59.000Z

    This paper concerns the reconstruction of a diffusion coefficient in an elliptic equation from knowledge of several power densities. The power density is the product of the diffusion coefficient with the square of the modulus of the gradient of the elliptic solution. The derivation of such internal functionals comes from perturbing the medium of interest by acoustic (plane) waves, which results in small changes in the diffusion coefficient. After appropriate asymptotic expansions and (Fourier) transformation, this allow us to construct the power density of the equation point-wise inside the domain. Such a setting finds applications in ultrasound modulated electrical impedance tomography and ultrasound modulated optical tomography. We show that the diffusion coefficient can be uniquely and stably reconstructed from knowledge of a sufficient large number of power densities. Explicit expressions for the reconstruction of the diffusion coefficient are also provided. Such results hold for a large class of boundary...

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

    SciTech Connect (OSTI)

    Harwood, Caroline S

    2012-12-17T23:59:59.000Z

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

  19. A Knowledge Based Digital Control Flow Synthesizer

    E-Print Network [OSTI]

    Fernando, M. A. Susith Rohana

    1987-01-01T23:59:59.000Z

    applications are characterized by symbolic pro- cessing, incomplete problem solving knowledge and open systems. Symbolic processing contrast with numerical processing where intensive nu- rnerical comput, ations are involved. The information to be dealt... programming is one of the four popular programming paradigms available in the computer science community. In contrast with more common pro- cedural programming paradigm, programs are not primarily partitioned into pro- cedures and separate data. Rather, a...

  20. Case-Based Reasoning Systems for Knowledge Mediation A.D. Griffiths, M.D. Harrison and A.M. Dearden

    E-Print Network [OSTI]

    Harrison, Michael

    specific purpose, however, is to support business planning carried out by company managers. We have taken to plan the maintenance and operation of a utility distribution network, by mediating knowledge from in the current paper, along with the relevant design issues. In a future paper we shall describe the evaluation

  1. Inferring Network Topology from Complex Dynamics

    E-Print Network [OSTI]

    Srinivas Gorur Shandilya; Marc Timme

    2010-07-09T23:59:59.000Z

    Inferring network topology from dynamical observations is a fundamental problem pervading research on complex systems. Here, we present a simple, direct method to infer the structural connection topology of a network, given an observation of one collective dynamical trajectory. The general theoretical framework is applicable to arbitrary network dynamical systems described by ordinary differential equations. No interference (external driving) is required and the type of dynamics is not restricted in any way. In particular, the observed dynamics may be arbitrarily complex; stationary, invariant or transient; synchronous or asynchronous and chaotic or periodic. Presupposing a knowledge of the functional form of the dynamical units and of the coupling functions between them, we present an analytical solution to the inverse problem of finding the network topology. Robust reconstruction is achieved in any sufficiently long generic observation of the system. We extend our method to simultaneously reconstruct both the entire network topology and all parameters appearing linear in the system's equations of motion. Reconstruction of network topology and system parameters is viable even in the presence of substantial external noise.

  2. From Parchment to the Network: Manuscripts Management and Cataloguing

    E-Print Network [OSTI]

    Alberti, Maria Alberta

    preserve the entire knowledge of ancient western culture from Greek to Latin literature, philosophyFrom Parchment to the Network: Manuscripts Management and Cataloguing Maria A. Alberti related to management, catalogue and description of these documents. In this paper we present some results

  3. An evidential path logic for multi-relational networks

    SciTech Connect (OSTI)

    Rodriguez, Marko A [Los Alamos National Laboratory; Geldart, Joe [UNIV OF DURHAM

    2008-01-01T23:59:59.000Z

    Multi-relational networks are used extensively to structure knowledge. Perhaps the most popular instance, due to the widespread adoption of the Semantic Web, is the Resource Description Framework (RDF). One of the primary purposes of a knowledge network is to reason; that is, to alter the topology of the network according to an algorithm that uses the existing topological structure as its input. There exist many such reasoning algorithms. With respect to the Semantic Web, the bivalent, axiomatic reasoners of the RDF Schema (RDFS) and the Web Ontology Language (OWL) are the most prevalent. However, nothing prevents other forms of reasoning from existing in the Semantic Web. This article presents a non-bivalent, non-axiomatic, evidential logic and reasoner that is an algebraic ring over a multi-relational network and two binary operations that can be composed to perform various forms of inference. Given its multi-relational grounding, it is possible to use the presented evidential framework as another method for structuring knowledge and reasoning in the Semantic Web. The benefits of this framework are that it works with arbitrary, partial, and contradictory knowledge while, at the same time, supporting a tractable approximate reasoning process.

  4. Revising Regulatory Networks: From Expression Data to Linear Causal Models

    E-Print Network [OSTI]

    Langley, Pat

    network structure. However, this ignores much ex- isting knowledge because for a given organism and system under study, a biologist may already have a partial model of gene regulation. We propose a method, with expression data. We demonstrate our approach by revising a model of photosynthesis regulation proposed

  5. Informedness in Collaborative Networks Through Active Information Provisioning

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Database Systems 1 Introduction Companies seek to improve their competitive position by collaborating collaborate in different areas such as knowledge sharing and joint product development [1]. It also can with other companies in collaborative networks [2] that are expected to provide many potential benefits

  6. Automatic Multimedia Knowledge Discovery, Summarization and Evaluation Ana B. Benitez *

    E-Print Network [OSTI]

    Fan, Jianping

    Automatic Multimedia Knowledge Discovery, Summarization and Evaluation Ana B. Benitez * Department for automatically discovering, summarizing and evaluating multimedia knowledge from annotated images in the form for applications to intelligently, efficiently and coherently deal with multimedia. The proposed methods include

  7. Savannah River Site Workers Share Knowledge with Students in...

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

    Site Workers Share Knowledge with Students in Engineering Teach-Ins Savannah River Site Workers Share Knowledge with Students in Engineering Teach-Ins March 30, 2015 - 12:00pm...

  8. Trust and Social Practice: an Epistemic Analysis of Organizational Knowledge 

    E-Print Network [OSTI]

    Brackin, Maria

    2013-11-27T23:59:59.000Z

    epistemology, particularly the Social Epistemology project, ought to be considered in discussions of organizational knowledge. I will defend the idea that social practice is the best way to make philosophical sense of the dynamics of organizational knowledge...

  9. A Data and Knowledge Management System for Intelligent Buildings 

    E-Print Network [OSTI]

    Hong, J.; Chen, Z.; Li, H.; Xu, Q.

    2006-01-01T23:59:59.000Z

    This paper describes a novel prototype of lifecycle information management and knowledge utilization of intelligent buildings. There is a comprehensive summary of the types of information and knowledge of intelligent buildings in their lifecycles...

  10. PMI: Knowledge Elicitation and De Bono's Thinking Tools

    E-Print Network [OSTI]

    Easterbrook, Steve

    PMI: Knowledge Elicitation and De Bono's Thinking Tools M-M. Portmann & S. M. Easterbrook School's thinking tools, the PMI (plus - minus - interesting) and built a knowledge elicitation tool for use

  11. Network Embedded Systems Sensor Networks

    E-Print Network [OSTI]

    Amir, Yair

    Battery Energy Reserve Manager = Bank Each task requests an account with conditions W ­ fraction Tracking 9 #12;Virtual Battery: An Energy Reserve Abstraction for Embedded Sensor Networks Qing Cao of real battery allocated N ­ number of energy installments L ­ expected lifetime of the task C

  12. Climate Knowledge Brokers Group | 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 beingZealand JumpConceptual Model, clickInformation SmyrnaNewClayClearSpotYork: EnergyWitham,Knowledge Brokers

  13. Time and Encoding Effects in the Concealed Knowledge Test

    E-Print Network [OSTI]

    Seymour, Travis L.; Fraynt, Becky R.

    2009-01-01T23:59:59.000Z

    items). This weapon-focus effect has been demonstrated ina weapon) seem Table 2 Mean concealed knowledge effect on RT

  14. The Cognitive Ergonomics of Knowledge-Based Design Support Systems

    E-Print Network [OSTI]

    The Cognitive Ergonomics of Knowledge-Based Design Support Systems Tamara Sumner Knowledge Media, Cognitive Ergonomics, Design, Design Environments, Knowledge-based Systems, Phone-based Interfaces ergonomic; i.e., systems that effectively support designers' cognitive work without hindering their creative

  15. The Monieson Centre www.business.queensu.ca/knowledge

    E-Print Network [OSTI]

    Graham, Nick

    About The Monieson Centre www.business.queensu.ca/knowledge Generating Value Through Knowledge wwwWarner-Lambert),The Monieson Centre was established at Queen's School of Business in 1999 to study the management of knowledge." By taking the road not travelled, The Monieson Centre has earned many "firsts."We were the first business

  16. Knowledge representation in process engineering Franz Baader and Ulrike Sattler

    E-Print Network [OSTI]

    Baader, Franz

    Knowledge representation in process engineering Franz Baader and Ulrike Sattler RWTH Aachen to represent the relevant process engi­ neering knowledge. The application domain Process engineering knowledge engineer), and not automatically in­ ferred from the definition of the class. As the complexity

  17. A KNOWLEDGE ENGINEERING APPROACH TO NATURAL LANGUAGE UNDERSTANDING

    E-Print Network [OSTI]

    Shapiro, Stuart C.

    A KNOWLEDGE ENGINEERING APPROACH TO NATURAL LANGUAGE UNDERSTANDING Stuart C. Shapiro & Jeannette G ABSTRACT This paper describes the results of a preliminary study of a Knowledge Engineering approach. I INTRODUCTION This paper describes the results of a · preliminary study of a Knowledge Engineering

  18. Ontological Engineering: Foundation of the next generation knowledge processing

    E-Print Network [OSTI]

    Mizoguchi, Riichiro

    Ontological Engineering: Foundation of the next generation knowledge processing Riichiro Mizoguchi@ei.sanken.osaka-u.ac.jp Abstract. Ontological engineering as a key technology of the next generation knowledge processing development and a lot of research activities have been done under the flag of "knowledge engineering". However

  19. Foundation of Knowledge Systematization: Role of Ontological Engineering

    E-Print Network [OSTI]

    Mizoguchi, Riichiro

    Foundation of Knowledge Systematization: Role of Ontological Engineering Riichiro Mizoguchi of view. Our knowledge systematization is based on ontological engineering to enable people to build is that ontological engineering provides us with the basis on which we can build knowledge and with computer

  20. Collaborative Ontological Engineering of Instructional Design Knowledge for an ITS

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Collaborative Ontological Engineering of Instructional Design Knowledge for an ITS Authoring could rely on content-based engineering of instructional design (ID) knowledge, i.e. based on principles. Collaborative Ontological Engineering of Instructional Design Knowledge: Challenges of such an Enterprise

  1. Rural Knowledge Clusters: Innovation and Vitality in America's Rural Communities

    E-Print Network [OSTI]

    Levinson, David M.

    Summary 1 I. Context: The Challenge of Rural Community Vitality in a Knowledge-Based Global Economy 5 II challenges to prosperity and vitality in a knowledge-based global economy. Traditional sources of rural Minnesota 65 Appendix C: About the Project, "Globalization and Knowledge Clusters for Rural America" 73

  2. A Knowledge Management Framework to Morph Clinical Cases with Clinical

    E-Print Network [OSTI]

    Abidi, Syed Sibte Raza

    A Knowledge Management Framework to Morph Clinical Cases with Clinical Practice Guidelines Fehmida-base and maps it to corresponding explicit knowledge stored in clinical practice guidelines. The novelty of our--i.e. clinical practice guidelines--and experiential knowledge--i.e. past clinical cases. Here we present

  3. Knowledge Diffusion and Industry Growth By Serguey Braguinsky

    E-Print Network [OSTI]

    Braguinsky, Serguey

    knowledge transmission but also a competitive environment that rewards the right kind of knowledge and human-to-firm transmission of technological and managerial choices. But not all knowledge is created equal. We document both cotton spinning industry circa late 19th century, which paved the way for this country's ascendance

  4. Brief article Prior knowledge on the illumination position

    E-Print Network [OSTI]

    Mamassian, Pascal

    -retinal knowledge (Rock, 1983). Recent experimental work has emphasized the study of prior knowledge and P was upside-down and consequently shadows were in the wrong place relative to the light source. The position. This explanation rests on the knowledge that the light source stays at the same location whether or not one

  5. Towards a Grid Information Knowledge Base , Marios D. Dikaiakos1

    E-Print Network [OSTI]

    Pallis, George

    Towards a Grid Information Knowledge Base Wei Xing1 , Marios D. Dikaiakos1 , and Rizos Sakellariou2 present our work on building a Grid infor- mation knowledge base, which is a key component of a semantic Grid information system. A Core Grid Ontology (CGO) is developed for build- ing a Grid knowledge base

  6. Knowledge Retention: Developing a Knowledge Transfer Plan for the Engineering Department at Wolf Creek Nuclear Operating Corporation

    E-Print Network [OSTI]

    Bussard, Grant William

    2013-05-17T23:59:59.000Z

    the engineering field is highly steeped in knowledge, it is imperative that tacit and explicit knowledge is retained and transferred in order to develop an effective and efficient organization. When individuals leave the company, they leave with more than what...

  7. CONTENT KNOWLEDGE (Declarative Knowledge; Technical Skills): Students will demonstrate use of critical methods together with mastery of pertinent declarative

    E-Print Network [OSTI]

    Fernandez, Eduardo

    CONTENT KNOWLEDGE (Declarative Knowledge; Technical Skills): Students will demonstrate use effective communication skills by writing thesisdriven essays in response to a specific prompt. Essays are expected to exhibit the control of rhetorical elements that include clarity, coherence, comprehensiveness

  8. Stanford University Exploiting Channel Knowledge at the Tx in MISO and MIMO Wireless Exploiting Partial Channel Knowledge at

    E-Print Network [OSTI]

    Paulraj, Arogyaswami

    Stanford University Exploiting Channel Knowledge at the Tx in MISO and MIMO Wireless Exploiting Partial Channel Knowledge at the Transmitter in MISO and MIMO Wireless SPAWC 2003 Rome, Italy June 18 Exploiting Channel Knowledge at the Tx in MISO and MIMO Wireless Outline Introduction · Perfect CSI

  9. Intagorn et al. Harvesting Geospatial Knowledge from Social Metadata Harvesting Geospatial Knowledge from Social

    E-Print Network [OSTI]

    Lerman, Kristina

    Intagorn et al. Harvesting Geospatial Knowledge from Social Metadata Harvesting Geospatial Institute lerman@isi.edu ABSTRACT Up-to-date geospatial information can help crisis management community of the social photo-sharing site Flickr to learn geospatial concepts and relations. Our method leverages

  10. The anatomy of urban social networks and its implications in the searchability problem

    E-Print Network [OSTI]

    Herrera-Yagüe, C; Couronné, T; Smoreda, Z; Benito, R M; Zufiria, P J; González, M C

    2015-01-01T23:59:59.000Z

    The appearance of large geolocated communication datasets has recently increased our understanding of how social networks relate to their physical space. However, many recurrently reported properties, such as the spatial clustering of network communities, have not yet been systematically tested at different scales. In this work we analyze the social network structure of over 25 million phone users from three countries at three different scales: country, provinces and cities. We consistently find that this last urban scenario presents significant differences to common knowledge about social networks. First, the emergence of a giant component in the network seems to be controlled by whether or not the network spans over the entire urban border, almost independently of the population or geographic extension of the city. Second, urban communities are much less geographically clustered than expected. These two findings shed new light on the widely-studied searchability in self-organized networks. By exhaustive sim...

  11. Network coding for robust wireless networks

    E-Print Network [OSTI]

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

    2012-01-01T23:59:59.000Z

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

  12. Network sampling and classification: An investigation of network model representations

    E-Print Network [OSTI]

    Needleman, Daniel

    only one or two connectivity patterns of an observed network--such as degree distribution, or diameterNetwork sampling and classification: An investigation of network model representations Edoardo M: Connectivity pattern Network type Network metrics Network sampling Network classification Methods

  13. Network Maps

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparency VisitSilverNepheline crystallization inNetCDF Network

  14. Supernetworks for theSupernetworks for the Management of KnowledgeManagement of Knowledge

    E-Print Network [OSTI]

    Nagurney, Anna

    Era #12;Network System Nodes Links Flows Transportation Urban Intersections, Roads Autos Homes, Places Dynamic SystemsIntensive Dynamic Systems WorkshopWorkshop Anna Nagurney and Tina Wakolbinger The Fourth supernetworks · Discussion #12;Support Provided by:Support Provided by: · National Science Foundation · AT

  15. The Enigmatic Role of p16CDKN2/INK4a in Neuroblastoma

    E-Print Network [OSTI]

    Diccianni, Mitchell B

    2006-01-01T23:59:59.000Z

    of the retinoblastoma (pRb) protein and the release ofD1/CDK4 complex, facilitating pRb phosphorylation and entryD complex results in pRb hyperphosphorylation and transition

  16. CDKN-CARICOM-Trinidad and Tobago-A Regional Implementation Plan for

    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 EditCalifornia:Power LP Biomass Facility JumpBurleighGeothermalCAESThe

  17. Networks, Information & Social Capital

    E-Print Network [OSTI]

    Aral, Sinan

    2008-01-26T23:59:59.000Z

    This paper investigates how information flows enable social networks to constitute social capital. By analyzing

  18. FES Science Network Requirements

    E-Print Network [OSTI]

    Geddes, Cameron Guy Robinson

    FES Science Network Requirements Report of the Fusion Energy Sciences Network Requirements Workshop Conducted March 13 and 14, 2008 #12;FES Science Network Requirements Workshop Fusion Energy Sciences Program Office, DOE Office of Science Energy Sciences Network Gaithersburg, MD ­ March 13 and 14, 2008 ESnet

  19. Intermodal passenger flows on London's public transport network : automated inference of full passenger journeys using fare-transaction and vehicle-location data

    E-Print Network [OSTI]

    Gordon, Jason B. (Jason Benjamin)

    2012-01-01T23:59:59.000Z

    Urban public transport providers have historically planned and managed their networks and services with limited knowledge of their customers' travel patterns. While ticket gates and bus fareboxes yield counts of passenger ...

  20. algebraic network coding: Topics by E-print Network

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

    and robust networking. For networks which are restricted to using linear network codes, we find necessary and sufficient conditions for the feasibility of any given set of...

  1. autoassociative neural network: Topics by E-print Network

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

    Convolutional Neural Networks 5 Mixture of density networks Englebienne, Gwenn 98 Fuzzy neural network pattern recognition algorithm for classification of the events in...

  2. attractor neural network: Topics by E-print Network

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

    Convolutional Neural Networks 5 Mixture of density networks Englebienne, Gwenn 138 Fuzzy neural network pattern recognition algorithm for classification of the events in...

  3. analog neural network: Topics by E-print Network

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

    Convolutional Neural Networks 5 Mixture of density networks Englebienne, Gwenn 118 Fuzzy neural network pattern recognition algorithm for classification of the events in...

  4. attractor neural networks: Topics by E-print Network

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

    Convolutional Neural Networks 5 Mixture of density networks Englebienne, Gwenn 138 Fuzzy neural network pattern recognition algorithm for classification of the events in...

  5. Processes, data structures, and apparatuses for representing knowledge

    DOE Patents [OSTI]

    Hohimer, Ryan E. (West Richland, WA); Thomson, Judi R. (Guelph, CA); Harvey, William J. (Richland, WA); Paulson, Patrick R. (Pasco, WA); Whiting, Mark A. (Richland, WA); Tratz, Stephen C. (Richland, WA); Chappell, Alan R. (Seattle, WA); Butner, R. Scott (Richland, WA)

    2011-09-20T23:59:59.000Z

    Processes, data structures, and apparatuses to represent knowledge are disclosed. The processes can comprise labeling elements in a knowledge signature according to concepts in an ontology and populating the elements with confidence values. The data structures can comprise knowledge signatures stored on computer-readable media. The knowledge signatures comprise a matrix structure having elements labeled according to concepts in an ontology, wherein the value of the element represents a confidence that the concept is present in an information space. The apparatus can comprise a knowledge representation unit having at least one ontology stored on a computer-readable medium, at least one data-receiving device, and a processor configured to generate knowledge signatures by comparing datasets obtained by the data-receiving devices to the ontologies.

  6. Survivability Considerations in Wireless Networks

    E-Print Network [OSTI]

    Ning, Jianxia

    2012-01-01T23:59:59.000Z

    pre-configured by the network administrator, otherwise thedetermined by the network administrator according to if thebut also allow a network administrator to determine the

  7. Mobility in Wireless Sensor Networks

    E-Print Network [OSTI]

    Mehta, Ankur Mukesh

    2012-01-01T23:59:59.000Z

    Channel-Specific Wireless Sensor Network Path Data”. In:Average Power in Wireless Sensor Networks through Data Ratedesign space of wireless sensor networks”. In: IEEE Wireless

  8. Knowledge Partnership for Measuring Air Pollution and Greenhouse...

    Open Energy Info (EERE)

    Measuring Air Pollution and Greenhouse Gas Emissions in Asia Jump to: navigation, search Name Knowledge Partnership for Measuring Air Pollution and Greenhouse Gas Emissions in Asia...

  9. A New Model for the Organizational Knowledge Life Cycle

    E-Print Network [OSTI]

    Luigi Lella; Ignazio Licata

    2007-05-08T23:59:59.000Z

    Actual organizations, in particular the ones which operate in evolving and distributed environments, need advanced frameworks for the management of the knowledge life cycle. These systems have to be based on the social relations which constitute the pattern of collaboration ties of the organization. We demonstrate here, with the aid of a model taken from the theory of graphs, that it is possible to provide the conditions for an effective knowledge management. A right way could be to involve the actors with the highest betweeness centrality in the generation of discussion groups. This solution allows the externalization of tacit knowledge, the preservation of knowledge and the raise of innovation processes.

  10. A New Model for the Organizational Knowledge Life Cycle

    E-Print Network [OSTI]

    Lella, Luigi

    2010-01-01T23:59:59.000Z

    Actual organizations, in particular the ones which operate in evolving and distributed environments, need advanced frameworks for the management of the knowledge life cycle. These systems have to be based on the social relations which constitute the pattern of collaboration ties of the organization. We demonstrate here, with the aid of a model taken from the theory of graphs, that it is possible to provide the conditions for an effective knowledge management. A right way could be to involve the actors with the highest betweeness centrality in the generation of discussion groups. This solution allows the externalization of tacit knowledge, the preservation of knowledge and the raise of innovation processes.

  11. Epistemic Friction: Reflections on Knowledge, Truth, and Logic

    E-Print Network [OSTI]

    Sher, Gila

    2010-01-01T23:59:59.000Z

    ARTICLE Epistemic Friction: Re?ections on Knowledge, Truth,requires both freedom and friction. Freedom to set up ourprograms, etc. , and friction (constraint) coming from two

  12. MHK Technologies/New Knowledge Wind and Wave Renewable Mobile...

    Open Energy Info (EERE)

    Wave Renewable Mobile Wind and Wave Power Plant Platform < MHK Technologies Jump to: navigation, search << Return to the MHK database homepage New Knowledge Wind and Wave Renewable...

  13. Knowledge Transfer Partnerships Williams Industrial Services Ltd & Queen's University Belfast

    E-Print Network [OSTI]

    Paxton, Anthony T.

    of biogas plant Use of QUESTOR laboratories for sample analysis Company Quote "Through the Knowledge reductions in energy footprint while maintaining treatment performance. Key Benefits Results of sludge

  14. Design of currency, markets, and economy for knowledge

    E-Print Network [OSTI]

    Shen, Dawei

    2012-01-01T23:59:59.000Z

    Information markets benefit the communities they serve by facilitating electronic distributed exchange of information. Further benefits include enhancing knowledge sharing, innovation, and productivity. This research ...

  15. Knowledge Capture and Transfer Program (KCTP) "Newly Created...

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

    Powerpedia Page The Knowledge Capture and Transfer Program (KCTP) has a new logo and a newly created Powerpedia page. The page layout and program descriptions allow for...

  16. Organizational Learning and Internationalization Knowledge: A Comparative Study of Family Firms and Non-Family Firms

    E-Print Network [OSTI]

    Boyer, Edmond

    1 Organizational Learning and Internationalization Knowledge: A Comparative Study of Family Firms with knowledge in family firms by analyzing the role of organizational knowledge in the internationalization, the influence of these variables on internationalization organizational knowledge and finally on firms

  17. Interconnection networks

    DOE Patents [OSTI]

    Faber, V.; Moore, J.W.

    1988-06-20T23:59:59.000Z

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

  18. Solving stochasic PERT networks exactly using hybrid Bayesian networks

    E-Print Network [OSTI]

    Cinicioglu, Esma N.; Shenoy, Prakash P.

    2006-09-16T23:59:59.000Z

    In this paper, we describe how a stochastic PERT network can be formulated as a Bayesian network. We approximate such PERT Bayesian network by mixtures of Gaussians hybrid Bayesian networks. Since there exists algorithms for solving mixtures...

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  20. Networking Call for Residential Network Members Peer Exchange...

    Energy Savers [EERE]

    Networking Call for Residential Network Members Peer Exchange Call Networking Call for Residential Network Members Peer Exchange Call March 12, 2015 12:30PM to 2:0...

  1. Characterization of network traffic on a local area network

    E-Print Network [OSTI]

    Suravarapu, Prasad Devi

    1995-01-01T23:59:59.000Z

    In this thesis we analyze network traffic on a local area network in an academic environment. We analyze the trace based on transport-level and network-level applications. Networks conversations are studied using the newly developed packet...

  2. Knowledge Discovery from Massive Healthcare Claims Data

    SciTech Connect (OSTI)

    Chandola, Varun [ORNL] [ORNL; Sukumar, Sreenivas R [ORNL] [ORNL; Schryver, Jack C [ORNL] [ORNL

    2013-01-01T23:59:59.000Z

    The role of big data in addressing the needs of the present healthcare system in US and rest of the world has been echoed by government, private, and academic sectors. There has been a growing emphasis to explore the promise of big data analytics in tapping the potential of the massive healthcare data emanating from private and government health insurance providers. While the domain implications of such collaboration are well known, this type of data has been explored to a limited extent in the data mining community. The objective of this paper is two fold: first, we introduce the emerging domain of big"healthcare claims data to the KDD community, and second, we describe the success and challenges that we encountered in analyzing this data using state of art analytics for massive data. Specically, we translate the problem of analyzing healthcare data into some of the most well-known analysis problems in the data mining community, social network analysis, text mining, and temporal analysis and higher order feature construction, and describe how advances within each of these areas can be leveraged to understand the domain of healthcare. Each case study illustrates a unique intersection of data mining and healthcare with a common objective of improving the cost-care ratio by mining for opportunities to improve healthcare operations and reducing hat seems to fall under fraud, waste,and abuse.

  3. Distributed control of coded networks

    E-Print Network [OSTI]

    Zhao, Fang, Ph. D. Massachusetts Institute of Technology

    2010-01-01T23:59:59.000Z

    The introduction of network coding has the potential to revolutionize the way people operate networks. For the benefits of network coding to be realized, distributed solutions are needed for various network problems. In ...

  4. Dynamic NetworksDynamic Networks ApplicationsApplications

    E-Print Network [OSTI]

    Nagurney, Anna

    of today. #12;The study of the efficient operation on transportation networks dates to ancient Rome telecommunication networks and energy networks. No longer are networks independent of one another but critically. #12;MBTA Network #12;Major Highway and Railroad Networks in the US #12;Water Freight Transport Routes

  5. THE VALUE OF KNOWLEDGE AND THE PURSUIT OF SHERRILYN ROUSH

    E-Print Network [OSTI]

    that knowledge contributes if its extra ingredient beyond true belief is tracking. I show that the tracking, knowledge, Nash Equilibrium, swamping problem, tracking, value problem. In honor of Luciano Floridi, for his the solar system was formed and what laws govern its motions. The laws govern the motion of a planet

  6. Building Roadmaps: A Knowledge Sharing Perspective Antony Tang

    E-Print Network [OSTI]

    van Vliet, Hans

    Building Roadmaps: A Knowledge Sharing Perspective Antony Tang VU University Amsterdam Department Amsterdam, the Netherlands hans@cs.vu.nl ABSTRACT Roadmapping is a process that involves many stakeholders these people. We report a number of knowledge sharing scenarios in the roadmapping process. In order to address

  7. Influencing knowledge workers: the power of top management

    E-Print Network [OSTI]

    Seldin, Jonathan P.

    Influencing knowledge workers: the power of top management Sharmila Jayasingam Faculty of Business/methodology/approach ­ Data measuring top leaders social power and knowledge management (KM) practices is gathered from 402 and Accountancy, University of Malaya, Kuala Lumpur, Malaysia Mahfooz A. Ansari Faculty of Management, University

  8. Knowledge Compilation in the Modal Logic S5 Meghyn Bienvenu

    E-Print Network [OSTI]

    Lutz, Carsten

    Knowledge Compilation in the Modal Logic S5 Meghyn Bienvenu Universit¨at Bremen Bremen, Germany@cril.univ-artois.fr Abstract In this paper, we study the knowledge compilation task for propositional epistemic logic S5. We map to S5. We then show that the notion of disjunctive normal form (DNF) can be profitably extended

  9. Heart Knowledge A short time after being diagnosed with

    E-Print Network [OSTI]

    O'Laughlin, Jay

    Heart Knowledge A short time after being diagnosed with cancer in December of 2005 I was having healing." "Listen with your heart," he said. He insisted I put my full faith in my oncologist, my surgeon that I needed to attend to my "inner healing and heart knowledge." What did Cliff mean by "heart

  10. I' om Data Mining to Knowledge Discovery: Usama M. Fayyad

    E-Print Network [OSTI]

    Raghavan, Vijay

    I' om Data Mining to Knowledge Discovery: Overview Usama M. Fayyad Jet Propulsion Laboratory knowledge discovery and data ~g. We begin with a definition of the KDD process and basic data mining :=c on the order of 50 giga- bytes of remotely sensed image data per hour when operational in the late 1990s

  11. KNOWLEDGE-BASED DECISION SUPPORT IN OIL WELL DRILLING

    E-Print Network [OSTI]

    Aamodt, Agnar

    for capturing and reusing experience and best practice in industrial operations5-7 . CBR as a technology has nowKNOWLEDGE-BASED DECISION SUPPORT IN OIL WELL DRILLING Combining general and case-specific knowledge of Computer and Information Science. agnar.aamodt@idi.ntnu.no Abstract: Oil well drilling is a complex process

  12. The Majority Illusion in Social Networks

    E-Print Network [OSTI]

    Lerman, Kristina; Wu, Xin-Zeng

    2015-01-01T23:59:59.000Z

    Social behaviors are often contagious, spreading through a population as individuals imitate the decisions and choices of others. A variety of global phenomena, from innovation adoption to the emergence of social norms and political movements, arise as a result of people following a simple local rule, such as copy what others are doing. However, individuals often lack global knowledge of the behaviors of others and must estimate them from the observations of their friends' behaviors. In some cases, the structure of the underlying social network can dramatically skew an individual's local observations, making a behavior appear far more common locally than it is globally. We trace the origins of this phenomenon, which we call "the majority illusion," to the friendship paradox in social networks. As a result of this paradox, a behavior that is globally rare may be systematically overrepresented in the local neighborhoods of many people, i.e., among their friends. Thus, the "majority illusion" may facilitate the ...

  13. Bayesian networks for reconstructing transcriptional regulatory networks

    E-Print Network [OSTI]

    Borenstein, Elhanan

    distribution [koller and Friedman] Let G be a Bayesian network graph over the variables X1,...,Xn. We say that a distribution P factorizes according to G if P can be expressed as: A Bayesian network is a pair (G,P) where P, L | I G S | I, D I D : #12;7 13 The Student Bayesian network Joint distribution P(I,D,G,S,L) = 14

  14. Complex Networks - A Key to Understanding Brain Function

    SciTech Connect (OSTI)

    Olaf Sporns

    2008-01-23T23:59:59.000Z

    The brain is a complex network of neurons, engaging in spontaneous and evoked activity that is thought to be the main substrate of mental life.  How this complex system works together to process information and generate coherent cognitive states, even consciousness, is not yet well understood.  In my talk I will review recent studies that have revealed characteristic structural and functional attributes of brain networks, and discuss efforts to build computational models of the brain that are informed by our growing knowledge of brain anatomy and physiology.

  15. Complex Networks - A Key to Understanding Brain Function

    ScienceCinema (OSTI)

    Olaf Sporns

    2010-01-08T23:59:59.000Z

    The brain is a complex network of neurons, engaging in spontaneous and evoked activity that is thought to be the main substrate of mental life.  How this complex system works together to process information and generate coherent cognitive states, even consciousness, is not yet well understood.  In my talk I will review recent studies that have revealed characteristic structural and functional attributes of brain networks, and discuss efforts to build computational models of the brain that are informed by our growing knowledge of brain anatomy and physiology.

  16. Morphological Classification of Galaxies Using Artificial Neural Networks

    E-Print Network [OSTI]

    Nicholas M. Ball

    2001-10-22T23:59:59.000Z

    The results of morphological galaxy classifications performed by humans and by automated methods are compared. In particular, a comparison is made between the eyeball classifications of 454 galaxies in the Sloan Digital Sky Survey (SDSS) commissioning data (Shimasaku et al. 2001) with those of supervised artificial neural network programs constructed using the MATLAB Neural Network Toolbox package. Networks in this package have not previously been used for galaxy classification. It is found that simple neural networks are able to improve on the results of linear classifiers, giving correlation coefficients of the order of 0.8 +/- 0.1, compared with those of around 0.7 +/- 0.1 for linear classifiers. The networks are trained using the resilient backpropagation algorithm, which, to the author's knowledge, has not been specifically used in the galaxy classification literature. The galaxy parameters used and the network architecture are both important, and in particular the galaxy concentration index, a measure of the concentration of light towards the centre of the galaxy, is the most significant parameter. Simple networks are briefly applied to 29,429 galaxies with redshifts from the SDSS Early Data Release. They give an approximate ratio of types E/S0:Sp:Irr of 14 +/- 5 : 86 +/- 12 : 0 +/- 0.1, which broadly agrees with the well known approximate ratios of 20:80:1 observed at low redshift.

  17. This article was downloaded by:[Canadian Research Knowledge Network] On: 25 March 2008

    E-Print Network [OSTI]

    Hossain, M. Enamul

    of the major causes of air pollution and are implicated in global warming and environmental health problems

  18. Knowledge Action Networks: Connecting regional climate change assessments to local action

    E-Print Network [OSTI]

    Kennel, Charles; Daultrey, Sally

    2010-01-01T23:59:59.000Z

    Impacts of Climate Change on Water In Africa, Cambridge (2009, a workshop of the Global Water Initiative. ConferenceCalifornia, San Diego; Global Water Initiative, University

  19. The impact of networked display devices on awareness and adoption of an online knowledge sharing system

    E-Print Network [OSTI]

    Rosenblatt, Michael, 1977-

    2003-01-01T23:59:59.000Z

    Invention is largely information driven. Everyone in a community of inventors is an aggregator of information relevant to invention. Sharing some of this information across a community of inventors will result in greater ...

  20. Knowledge Representation for The main problem with Semantic Networks is their appeal to human

    E-Print Network [OSTI]

    Hamburg,.Universität

    interpretation) 4 Example of DL Expressions (equivalent celebrated-clean-car (and car (all has-drive (or electric-drive hydrogen-drive)) (not noisy-car) (has-speed ( 100)) (at-least 1 possess award))) (instance car013 (and car (not noisy-car))) (related car013 best-car-award-2007 possess) (instance best-car-award-2007 award

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

    E-Print Network [OSTI]

    Feldman, David L; Ingram, Helen M

    2009-01-01T23:59:59.000Z

    build a regional-scale picture of the interaction between climate change and the local environment from the ground up.

  2. Commonsense knowledge bases and network analysis Tanya Berger-Wolf and Dimitrios I. Diochnos

    E-Print Network [OSTI]

    Pluhár, András

    A and Causes (Havasi, Speer, and Alonso 2007; Havasi et al. 2009). Its data was initially collected via the web of a condensed version of the matrix, called AnalogySpace, are also available (Speer, Havasi, and Lieberman 2008

  3. E-Print Network 3.0 - ambulance paramedics knowledge Sample Search...

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

    1 2 3 4 5 > >> 1 Agent-Based Analysis and Support for Incident Management Summary: , for health care it is the paramedic of the first ambulance and for the police there is no such...

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

    E-Print Network [OSTI]

    Hossain, M. Enamul

    reproduction, re-distribution, re-selling, loan or sub-licensing, systematic supply or distribution in any form

  5. PLEASE SCROLL DOWN FOR ARTICLE This article was downloaded by: [Canadian Research Knowledge Network

    E-Print Network [OSTI]

    Hossain, M. Enamul

    for research, teaching and private study purposes. Any substantial or systematic reproduction, re-distribution, re-selling, loan or sub-licensing, systematic supply or distribution in any form to anyone

  6. PLEASE SCROLL DOWN FOR ARTICLE This article was downloaded by: [Canadian Research Knowledge Network

    E-Print Network [OSTI]

    Farrell, Anthony P.

    and co-benefits or the social costs generated by carbon- mitigation projects. This article presents equity in order to minimize the social costs of carbon emissions trading. Keywords carbon offset, Clean

  7. This article was downloaded by:[Canadian Research Knowledge Network] On: 7 May 2008

    E-Print Network [OSTI]

    Groth, Clinton P. T.

    diffusivity of species n e Favre-averaged total specific mixture energy Ep relative parallel efficiency ~f reproduction, re-distribution, re-selling, loan or sub-licensing, systematic supply or distribution in any form, formulae and drug doses should be independently verified with primary sources. The publisher shall

  8. all-atom knowledge-based energy: Topics by E-print Network

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

    6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Free Energy Estimates of All-atom Protein Structures Using Generalized Belief Propagation...

  9. This article was downloaded by:[Canadian Research Knowledge Network] On: 26 April 2008

    E-Print Network [OSTI]

    Hudlicky, Tomas

    -Sánchez a ; Fernando J. Gómez a ; Luz M. Jaramillo-Gómez a ; Tomas Hudlioky b a Departamento de Quimica, Universidad-Gomez,*a Tomas Hudlicky* $Departamentode Quimica, Universidad del Valle, A.A. 25360,Cali, Colombia *Chemistry correspondence should be addressed. luzmaja@quimica.univaile.edu.co 2795 Copyright Q 1999 by Marcel Dekker, Inc

  10. PLEASE SCROLL DOWN FOR ARTICLE This article was downloaded by: [Canadian Research Knowledge Network

    E-Print Network [OSTI]

    Li, Michael

    ://www.informaworld.com/smpp/title~content=t744398444 Global dynamics of a staged-progression model with amelioration for infectious diseases Hongbin Guo; Michael Y. Li Online Publication Date: 01 April 2008 To cite this Article Guo, Hongbin and Li-progression model with amelioration for infectious diseases Hongbin Guo and Michael Y. Li* Department

  11. Knowledge Networks and Science Data December 7, 2012, AGU12 IN54A-02.

    E-Print Network [OSTI]

    Wright, Dawn Jeannine

    of the issues. For example, agriculture is a significant Industry Energy Agriculture Aquaculture Households of habitats/species Ill health Droughts/floods Desertification Salinisation Loss of amenity Coastal erosion resources Organic pollution and eutrophication The effects on the aquatic environment of organic pollution

  12. PLEASE SCROLL DOWN FOR ARTICLE This article was downloaded by: [Canadian Research Knowledge Network

    E-Print Network [OSTI]

    Coles, Cynthia

    ://www.informaworld.com/smpp/title~content=t713401148 Influence of Bulking Agents, Fertilizers and Bacteria on the Removal of Diesel from a Newfoundland on the Removal of Diesel from a Newfoundland Soil',Soil and Sediment Contamination: An International Journal,18 not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever

  13. Application and Network-Cognizant Proxies - Final Report

    SciTech Connect (OSTI)

    Antonio Ortega; Daniel C. Lee

    2003-03-24T23:59:59.000Z

    OAK B264 Application and Network-Cognizant Proxies - Final Report. Current networks show increasing heterogeneity both in terms of their bandwidths/delays and the applications they are required to support. This is a trend that is likely to intensify in the future, as real-time services, such as video, become more widely available and networking access over wireless links becomes more widespread. For this reason they propose that application-specific proxies, intermediate network nodes that broker the interactions between server and client, will become an increasingly important network element. These proxies will allow adaptation to changes in network characteristics without requiring a direct intervention of either server or client. Moreover, it will be possible to locate these proxies strategically at those points where a mismatch occurs between subdomains (for example, a proxy could be placed so as to act as a bridge between a reliable network domain and an unreliable one). This design philosophy favors scalability in the sense that the basic network infrastructure can remain unchanged while new functionality can be added to proxies, as required by the applications. While proxies can perform numerous generic functions, such as caching or security, they concentrate here on media-specific, and in particular video-specific, tasks. The goal of this project was to demonstrate that application- and network-specific knowledge at a proxy can improve overall performance especially under changing network conditions. They summarize below the work performed to address these issues. Particular effort was spent in studying caching techniques and on video classification to enable DiffServ delivery. other work included analysis of traffic characteristics, optimized media scheduling, coding techniques based on multiple description coding, and use of proxies to reduce computation costs. This work covered much of what was originally proposed but with a necessarily reduced scope.

  14. Using Neural Networks 

    E-Print Network [OSTI]

    Gabel, S.

    2003-01-01T23:59:59.000Z

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

  15. Class network routing

    DOE Patents [OSTI]

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

    2009-09-08T23:59:59.000Z

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

  16. Beyond Network Equivalence

    E-Print Network [OSTI]

    Koetter, Ralf

    In earlier work, we described an equivalence result for network capacity. Roughly, that result is as follows. Given a network of noisy, memoryless, point-to-point channels, replace each channel by a noiseless, memoryless ...

  17. Network coded wireless architecture

    E-Print Network [OSTI]

    Katti, Sachin Rajsekhar

    2008-01-01T23:59:59.000Z

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

  18. Connectibles : tangible social networking

    E-Print Network [OSTI]

    Kalanithi, Jeevan James

    2007-01-01T23:59:59.000Z

    This thesis presents "Connectibles," an instantiation of a tangible social network, a new type of social network application rooted in physical objects and real world social behavior. This research is inspired by social ...

  19. Using Neural Networks

    E-Print Network [OSTI]

    Gabel, S.

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

  20. Social Network and Communications Institutional Change Principle...

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

    Network and Communications Institutional Change Principle Social Network and Communications Institutional Change Principle Federal agencies can use social networks and...

  1. Membership Criteria: Better Buildings Residential Network | Department...

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

    Membership Criteria: Better Buildings Residential Network Membership Criteria: Better Buildings Residential Network Membership Criteria: Better Buildings Residential Network...

  2. Complex Networked Control Systems

    E-Print Network [OSTI]

    buildings, modern control systems are increasingly incorporating communication networks in feedback loops [5Complex Networked Control Systems W e live and operate in a networked world. We drive to work on the performance of feedback control systems [5], [6]. Signifi- cant attention is focused on devising local

  3. Financial Networks Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    in decision-making; constraints on resources: human, financial, natural, time, etc.; global reach of many, Transmission Lines Water, Gas, Oil, Electricity Anna Nagurney Financial Networks #12;Interstate Highway System Freight Network World Oil Routes Natural Gas Flows Network Systems Internet Traffic Anna Nagurney

  4. Virtual Gateway Network Documentation

    E-Print Network [OSTI]

    Segall, Adrian

    Virtual Gateway Network Documentation Composed By: Stiven Andre Nikolai Gukov #12;Table of contents.3) VGNET as a network manager 2) VGNET explained 2.1) One PC with multiple Internet access points. 2 both routers. 1.3) VGNET as a network manager Let's look at figure 3 again. The perfect scenario we may

  5. Recommendation in Social Networks

    E-Print Network [OSTI]

    Ester, Martin

    Recommendation in Social Networks Martin Ester Simon Fraser University Tutorial at RecSys 2013 October 12 , 2013 #12;Martin Ester: Recommendation in Social Networks, Tutorial at RecSys 2013 2 Outline · Introduction · Recommendation in social networks · Memory based approaches for item recommendation · Model

  6. Sustaining knowledge in the neutron generator community and benchmarking study.

    SciTech Connect (OSTI)

    Barrentine, Tameka C.; Kennedy, Bryan C.; Saba, Anthony W.; Turgeon, Jennifer L.; Schneider, Julia Teresa; Stubblefield, William Anthony; Baldonado, Esther

    2008-03-01T23:59:59.000Z

    In 2004, the Responsive Neutron Generator Product Deployment department embarked upon a partnership with the Systems Engineering and Analysis knowledge management (KM) team to develop knowledge management systems for the neutron generator (NG) community. This partnership continues today. The most recent challenge was to improve the current KM system (KMS) development approach by identifying a process that will allow staff members to capture knowledge as they learn it. This 'as-you-go' approach will lead to a sustainable KM process for the NG community. This paper presents a historical overview of NG KMSs, as well as research conducted to move toward sustainable KM.

  7. A Knowledge Engineering Method for New Product Development

    E-Print Network [OSTI]

    Perry, Nicolas; 10.3166/jds.19.117-133

    2012-01-01T23:59:59.000Z

    Engineering activities involve large groups of people from different domains and disciplines. They often generate important information flows that are difficult to manage. To face these difficulties, a knowledge engineering process is necessary to structure the information and its use. This paper presents a deployment of a knowledge capitalization process based on the enrichment of MOKA methodology to support the integration of Process Planning knowledge in a CAD System. Our goal is to help different actors to work collaboratively by proposing one referential view of the domain, the context and the objectives assuming that it will help them in better decision-making.

  8. Office of Nuclear Energy Knowledge Management Program Situational Analysis Report

    SciTech Connect (OSTI)

    Kimberlyn C. Mousseau

    2011-12-01T23:59:59.000Z

    Knowledge management (KM) has been a high priority for the Department of Energy (DOE) Office of Nuclear Energy (NE) for the past several years. NE Programs are moving toward well-established knowledge management practices and a formal knowledge management program has been established. Knowledge management is being practiced to some level within each of the NE programs. Although it continues to evolve as NE programs evolve, a formal strategic plan that guides the implementation of KM has been developed. Despite the acceptance of KM within DOE NE, more work is necessary before the NE KM program can be considered fully successful. Per Dr. David J. Skyrme[1], an organization typically moves through the following evolutionary phases: (1) Ad-hoc - KM is being practiced to some level in some parts of the organization; (2) Formal - KM is established as a formal project or program; (3) Expanding - the use of KM as a discipline grows in practice across different parts of the organization; (4) Cohesive - there is a degree of coordination of KM; (5) Integrated - there are formal standards and approaches that give every individual access to most organizational knowledge through common interfaces; and (6) Embedded - KM is part-and-parcel of everyday tasks; it blends seamlessly into the background. According to the evolutionary phases, the NE KM program is operating at the two lower levels, Ad-hoc and Formal. Although KM is being practiced to some level, it is not being practiced in a consistent manner across the NE programs. To be fully successful, more emphasis must be placed on establishing KM standards and processes for collecting, organizing, sharing and accessing NE knowledge. Existing knowledge needs to be prioritized and gathered on a routine basis, its existence formally recorded in a knowledge inventory. Governance to ensure the quality of the knowledge being used must also be considered. For easy retrieval, knowledge must be organized according to a taxonomy that mimics nuclear energy programs. Technologies need to be established to make accessing the knowledge easier for the user. Finally, knowledge needs to be used as part of a well defined work process.

  9. Knowledge propagation in a Distributed Omnidirectional Vision System

    E-Print Network [OSTI]

    Menegatti, Emanuele

    of the cameras or the control law of the robot (this is an important feature if we want to apply this system the human and robot activity in the environment with a network of smart sensors [8, 31, 24]. Intelligent the network and to send the movement commands to the robot, Fig. 4. In our approach the cameras

  10. INTRODUCTION What is research, but a blind date with knowledge.

    E-Print Network [OSTI]

    Minnesota, University of

    CHAPTER 1 INTRODUCTION What is research, but a blind date with knowledge. -Will Henry The purpose for this thesis. Rationale for Study Through many generations of experimentation and theory-building, physics has

  11. Assessing two-year-olds' knowledge of number agreement morphology

    E-Print Network [OSTI]

    Blossom, Megan Stratton

    2013-12-31T23:59:59.000Z

    Previous research in the area of children's knowledge of number agreement morphology has yielded mixed results. Some researchers have found evidence for sensitivity to agreement morphology at as early as 16 months, while ...

  12. The Role of Knowledge in Visual Shape Representation

    E-Print Network [OSTI]

    Saund, Eric

    1988-10-01T23:59:59.000Z

    This report shows how knowledge about the visual world can be built into a shape representation in the form of a descriptive vocabulary making explicit the important geometrical relationships comprising objects' shapes. ...

  13. The production of audiovisual cues when feigning knowledge 

    E-Print Network [OSTI]

    Baddeley, Nic

    2010-06-30T23:59:59.000Z

    This paper describes 2 exploratory experiments aimed at creating a profile of audiovisual behaviours for a sub-type of deception, feigned knowledge. In Experiment 1, students were interviewed on camera about their own ...

  14. A Knowledge Management Platform for Documentation of Case Reports in

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A Knowledge Management Platform for Documentation of Case Reports in Pharmacovigilance Florence systematic reviews are needed, there is little guidance on how systematic documentation of drug adverse documentation of pharmacovigilance case reports for the pharmaceutical industry and regulatory authorities

  15. Preservice teachers' knowledge of linear functions within multiple representation modes

    E-Print Network [OSTI]

    You, Zhixia

    2009-05-15T23:59:59.000Z

    and algebraic representations; (3) flexibility within visual representations; (4) flexibility with real-life situations, and (5) procedural skills. In terms of pedagogical content knowledge, two aspects were examined across five corresponding components...

  16. Sharing tacit design knowledge in a distributed design environment

    E-Print Network [OSTI]

    Woo, Jeong-Han

    2006-10-30T23:59:59.000Z

    investigates the impact of tacit design knowledge on design performance in a distributed design environment supported by CMC software. The software was developed and tested in three design studios in which design students sought advice from experts in remote...

  17. SemTrace: Semantic Requirements Tracing Using Explicit Requirement Knowledge

    E-Print Network [OSTI]

    their activities. Application Lifecycle Management (ALM) is the coordination of development lifecycle activities knowledge and artifacts. A major challenge in distributed software development is the integration of activities along the development lifecycle. Application Lifecycle Management (ALM) is defined as "the

  18. The Olympics of science knowledge at DOE's New Jersey Regional...

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

    The Olympics of science knowledge at DOE's New Jersey Regional Science Bowl at PPPL By Jeanne Jackson DeVoe March 3, 2014 Tweet Widget Google Plus One Share on Facebook The J...

  19. Knowledge production at the global frontier : the case of China

    E-Print Network [OSTI]

    Fensterheim, Devin Robert

    2009-01-01T23:59:59.000Z

    China is increasingly seen as a participant in the global knowledge economy, with recent studies have highlighted the rising number of scientists and engineers educated in Chinese institutions of higher education, and the ...

  20. Using Analogy to Acquire Commonsense Knowledge from Human Contributors

    E-Print Network [OSTI]

    Chklovski, Timothy

    2003-02-12T23:59:59.000Z

    The goal of the work reported here is to capture the commonsense knowledge of non-expert human contributors. Achieving this goal will enable more intelligent human-computer interfaces and pave the way for computers to ...

  1. Using analogy to acquire commonsense knowledge from human Contributors

    E-Print Network [OSTI]

    Chklovski, Timothy A. (Timothy Anatolievich), 1977-

    2003-01-01T23:59:59.000Z

    The goal of the work reported here is to capture the commonsense knowledge of non-expert human contributors. Achieving this goal will enable more intelligent human-computer interfaces and pave the way for computers to ...

  2. Inductive Rules, Background Knowledge, and Skepticism Daniel Steel

    E-Print Network [OSTI]

    Steel, Daniel

    Inductive Rules, Background Knowledge, and Skepticism Daniel Steel Department of Philosophy 503 S. Kedzie Hall Michigan State University East Lansing, MI 48823-1032 Email: steel@msu.edu #12;Abstract

  3. Knowledge Annotations in Scientific Workflows: An Implementation in Kepler

    E-Print Network [OSTI]

    Pinheiro da Silva, Paulo

    collection, model building, and simulation expertise, are working together to perform groundwater modeling. We evaluated the scientific process being used by the groundwater modeling team to understand how annotations. Key words: Scientific Workflows, Knowledge Annotations, Kepler 1 Introduction When scientists

  4. Information/knowledge design in contextual hypermedia systems

    E-Print Network [OSTI]

    Miller, Andrew F., 1972-

    1998-01-01T23:59:59.000Z

    As we begin to comprehend the ways we interact with the data/information/knowledge structures which construct our individual perception of reality, we see a shift from the dyadic Cartesian method of reading our environment, ...

  5. Network topology analysis.

    SciTech Connect (OSTI)

    Kalb, Jeffrey L.; Lee, David S.

    2008-01-01T23:59:59.000Z

    Emerging high-bandwidth, low-latency network technology has made network-based architectures both feasible and potentially desirable for use in satellite payload architectures. The selection of network topology is a critical component when developing these multi-node or multi-point architectures. This study examines network topologies and their effect on overall network performance. Numerous topologies were reviewed against a number of performance, reliability, and cost metrics. This document identifies a handful of good network topologies for satellite applications and the metrics used to justify them as such. Since often multiple topologies will meet the requirements of the satellite payload architecture under development, the choice of network topology is not easy, and in the end the choice of topology is influenced by both the design characteristics and requirements of the overall system and the experience of the developer.

  6. The process for integrating the NNSA knowledge base.

    SciTech Connect (OSTI)

    Wilkening, Lisa K.; Carr, Dorthe Bame; Young, Christopher John; Hampton, Jeff (Lockheed Martin Mission Services, Houston, TX); Martinez, Elaine

    2009-03-01T23:59:59.000Z

    From 2002 through 2006, the Ground Based Nuclear Explosion Monitoring Research & Engineering (GNEMRE) program at Sandia National Laboratories defined and modified a process for merging different types of integrated research products (IRPs) from various researchers into a cohesive, well-organized collection know as the NNSA Knowledge Base, to support operational treaty monitoring. This process includes defining the KB structure, systematically and logically aggregating IRPs into a complete set, and verifying and validating that the integrated Knowledge Base works as expected.

  7. Dietary behavior, attitudes and knowledge of college students

    E-Print Network [OSTI]

    Weaver, Sara Sanner

    1993-01-01T23:59:59.000Z

    Findings Dietary Intake . Attitudes and Knowledge . V DISCUSSION . . Lifestyles Dietary Intake Attitudes and Knowledge Vl CONCLUSION . . REFERENCES APPENDICES 10 12 18 18 22 22 25 27 27 , 35 49 64 64 69 . 74 . 75 TABLE LIST.... The percentage of calories as fat increased with decreasing grades in the nutrition class and with increasing ages and weights. Authors suggested that these findings indicate that education does decrease fat consumption and that increased weight is associated...

  8. Acquiring and Applying Contextualised Tacit Knowledge Debbie Richards and Peter Busch

    E-Print Network [OSTI]

    Richards, Debbie

    expert retires or leaves. This addresses two knowledge management challenges: utilisation and preservation of knowledge. 1. The Acquisition and Application of Knowledge and the Role of Context). It is interesting to observe that the term knowledge transfer is currently popular in the knowledge management (KM

  9. The knowledge economy in Europe A report prepared for the 2007 EU Spring Council

    E-Print Network [OSTI]

    Chen-Burger, Yun-Heh (Jessica)

    The knowledge economy in Europe A report prepared for the 2007 EU Spring Council Prepared by Ian. Knowledge industry employment in Europe 6 4. Moving towards a knowledge based economy in Europe 7 5 10 8. Investing in knowledge 11 9. Next steps 23 Sponsors for the knowledge economy programme include

  10. Knowledge Elecitation for Factors Affecting Taskforce Productivity using a Questionnaire

    E-Print Network [OSTI]

    Muhammad Sohail; Abdur Rashid Khan

    2009-07-30T23:59:59.000Z

    In this paper we present the process of Knowledge Elicitation through a structured questionnaire technique. This is an effort to depict a problem domain as Investigation of factors affecting taskforce productivity. The problem has to be solved using the expert system technology. This problem is the very first step how to acquire knowledge from the domain experts. Knowledge Elicitation is one of the difficult tasks in knowledge base formation which is a key component of expert system. The questionnaire was distributed among 105 different domain experts of Public and Private Organizations (i.e. Education Institutions, Industries and Research etc) in Pakistan. A total 61 responses from these experts were received. All the experts were well qualified, highly experienced and has been remained the members for selection committees a number of times for different posts. Facts acquired were analyzed from which knowledge was extracted and elicited. A standard shape was given to the questionnaire for further research as a knowledge learning tool. This tool may be used as a standard document for selection and promotion of employees.

  11. 4. Network Flows 4.2 The Network Simplex Algorithm

    E-Print Network [OSTI]

    Krumke, Sven O.

    Contents 4. Network Flows 4.2 The Network Simplex Algorithm 1 #12;Starting Solutions Extend Set EB as all new edges, EL as all old edges 2 #12;Network Simplex Part I Require: Network N = (V , E #12;Network Simplex Part II 6: Adjust x: xij := xij + if (i, j) C+ es xij - if (i, j) C- es xij

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

    E-Print Network [OSTI]

    Wu, Jie

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

  13. Distributed Network Monitoring with Bounded Link Utilization in IP Networks

    E-Print Network [OSTI]

    Li, Li Erran

    1 Distributed Network Monitoring with Bounded Link Utilization in IP Networks Li Li Center multiple pollers located at different points in the network. However, using distributed pollers could for Networking Research Lucent Bell Labs erranlli@dnrc.bell-labs.com Marina Thottan Center for Networking

  14. Developing a decision-theoretic network for a congenital heart disease

    E-Print Network [OSTI]

    Utrecht, Universiteit

    and statistical decision theory has yielded the framework of decision-theoretic networks 15 . The framework of decision making under uncertainty. In contrast with the classical decision-theoretic and knowledge-based approaches employed in the past two decades to decision making under uncertainty, the framework of decision-theoretic

  15. Efficient detection of contagious outbreaks in massive metropolitan encounter networks

    E-Print Network [OSTI]

    Sun, Lijun; Lee, Der-Horng; Cebrian, Manuel

    2014-01-01T23:59:59.000Z

    Physical contact remains difficult to trace in large metropolitan networks, though it is a key vehicle for the transmission of contagious outbreaks. Co-presence encounters during daily transit use provide us with a city-scale time-resolved physical contact network, consisting of 1 billion contacts among 3 million transit users. Here, we study the advantage that knowledge of such co-presence structures may provide for early detection of contagious outbreaks. We first examine the "friend sensor" scheme --- a simple, but universal strategy requiring only local information --- and demonstrate that it provides significant early detection of simulated outbreaks. Taking advantage of the full network structure, we then identify advanced "global sensor sets", obtaining substantial early warning times savings over the friends sensor scheme. Individuals with highest number of encounters are the most efficient sensors, with performance comparable to individuals with the highest travel frequency, exploratory behavior and ...

  16. Chapters 6 & 8 Wireless Networks

    E-Print Network [OSTI]

    Lu, Enyue "Annie"

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

  17. A network security monitor

    SciTech Connect (OSTI)

    Heberlein, L.T.; Dias, G.V.; Levitt, K.N.; Mukherjee, B.; Wood, J.; Wolber, D. (California Univ., Davis, CA (USA). Dept. of Electrical Engineering and Computer Science)

    1989-11-01T23:59:59.000Z

    The study of security in computer networks is a rapidly growing area of interest because of the proliferation of networks and the paucity of security measures in most current networks. Since most networks consist of a collection of inter-connected local area networks (LANs), this paper concentrates on the security-related issues in a single broadcast LAN such as Ethernet. Specifically, we formalize various possible network attacks and outline methods of detecting them. Our basic strategy is to develop profiles of usage of network resources and then compare current usage patterns with the historical profile to determine possible security violations. Thus, our work is similar to the host-based intrusion-detection systems such as SRI's IDES. Different from such systems, however, is our use of a hierarchical model to refine the focus of the intrusion-detection mechanism. We also report on the development of our experimental LAN monitor currently under implementation. Several network attacks have been simulated and results on how the monitor has been able to detect these attacks are also analyzed. Initial results demonstrate that many network attacks are detectable with our monitor, although it can surely be defeated. Current work is focusing on the integration of network monitoring with host-based techniques. 20 refs., 2 figs.

  18. Tracking Topology Dynamicity for Link Prediction in Intermittently Connected Wireless Networks

    E-Print Network [OSTI]

    Zayani, Mohamed-Haykel; Slama, Ines; Zeghlache, Djamal

    2012-01-01T23:59:59.000Z

    Through several studies, it has been highlighted that mobility patterns in mobile networks are driven by human behaviors. This effect has been particularly observed in intermittently connected networks like DTN (Delay Tolerant Networks). Given that common social intentions generate similar human behavior, it is relevant to exploit this knowledge in the network protocols design, e.g. to identify the closeness degree between two nodes. In this paper, we propose a temporal link prediction technique for DTN which quantifies the behavior similarity between each pair of nodes and makes use of it to predict future links. We attest that the tensor-based technique is effective for temporal link prediction applied to the intermittently connected networks. The validity of this method is proved when the prediction is made in a distributed way (i.e. with local information) and its performance is compared to well-known link prediction metrics proposed in the literature.

  19. International Journal of Software Engineering and Knowledge Engineering World Scientific Publishing Company

    E-Print Network [OSTI]

    Xu, Haiping

    International Journal of Software Engineering and Knowledge Engineering © World Scientific Publishing Company 1 FUTURE RESEARCH DIRECTIONS OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING* HAIPING XU) Software Engineering (SE) and Knowledge Engineering (KE) are closely related disciplines with goals

  20. Assessing Preschool Children’s Knowledge of Compounds from a Logico- Semantic Perspective

    E-Print Network [OSTI]

    Brown, Rachel; Chu, Chia-Ying; Hess, Gretchen; Minai, Utako

    2014-12-01T23:59:59.000Z

    Research in First Language Acquisition investigates three broad questions: What do children know about language? When does this knowledge emerge? How is children’s knowledge of language different from adults’ knowledge of ...

  1. i-Seek : an intelligent system for eliciting and explaining knowledge

    E-Print Network [OSTI]

    Kumar, Ashwani, S.M. Massachusetts Institute of Technology

    2005-01-01T23:59:59.000Z

    We propose i-Seek, an Intelligent System for Eliciting and Explaining Knowledge that leverages the OpenMind [1] Commonsense knowledge base in conjunction with domain- specific knowledge in Personal Finance, Technical Help, ...

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

    E-Print Network [OSTI]

    Schoenebeck, Grant

    2013-01-01T23:59:59.000Z

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

  3. Random Walks and Electrical Networks Electrical Network

    E-Print Network [OSTI]

    Jonathon Peterson

    2008-01-30T23:59:59.000Z

    Feb 4, 2008 ... Random Walks and Electrical Networks. Hitting Probabilities and Voltage. Voltage. Connect a 1V battery to nodes a and b. ix,y is the current ...

  4. Efficient network camouflaging in wireless networks

    E-Print Network [OSTI]

    Jiang, Shu

    2006-04-12T23:59:59.000Z

    Camouflaging is about making something invisible or less visible. Network camouflaging is about hiding certain traffic information (e.g. traffic pattern, traffic flow identity, etc.) from internal and external eavesdroppers such that important...

  5. COMPRESSIVE LINEAR NETWORK CODING FOR EFFICIENT DATA COLLECTION IN WIRELESS SENSOR NETWORKS

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    COMPRESSIVE LINEAR NETWORK CODING FOR EFFICIENT DATA COLLECTION IN WIRELESS SENSOR NETWORKS fields, Wireless Sensor Networks Index Terms-- Belief Propagation, Network Coding, Fi- nite fields, Wireless Sensor Networks 1. INTRODUCTION A Wireless Sensor Network (WSN) consists of spatially dis

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

    E-Print Network [OSTI]

    Li, Zongpeng

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

  7. Reconfigureable network node

    DOE Patents [OSTI]

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

    2008-04-08T23:59:59.000Z

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

  8. Soybean Knowledge Base (SoyKB): a Web Resource for Soybean Translation...

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

    Soybean Knowledge Base (SoyKB): a Web Resource for Soybean Translational Genomics. Soybean Knowledge Base (SoyKB): a Web Resource for Soybean Translational Genomics. Abstract:...

  9. activity network sespan: Topics by E-print Network

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

    social networks, a lot Gionis, Aristides 19 Evolving dynamical networks with transient cluster activity Nonlinear Sciences (arXiv) Summary: We study transient sequential dynamics...

  10. artifical neural network: Topics by E-print Network

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

    8, Nos. 1-2 Cytological Diagnosis Based on Fuzzy Neural Networks max combined with a fuzzy neural network approach, for the discrimination of benign from malignant gastric...

  11. artifical neural networks: Topics by E-print Network

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

    8, Nos. 1-2 Cytological Diagnosis Based on Fuzzy Neural Networks max combined with a fuzzy neural network approach, for the discrimination of benign from malignant gastric...

  12. artificial neural network: Topics by E-print Network

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

    neural networks, for phosphene localisation are used Rattray, Magnus 63 Dynamic Pattern Recognition in Sport by Means of Artificial Neural Networks Computer Technologies...

  13. artificial neural networks: Topics by E-print Network

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

    neural networks, for phosphene localisation are used Rattray, Magnus 63 Dynamic Pattern Recognition in Sport by Means of Artificial Neural Networks Computer Technologies...

  14. analyzing interactome networks: Topics by E-print Network

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

    into an organization's structure and dynamics. The creation and analysis of sample social media network datasets is described to illustrate types of enterprise networks and...

  15. adolescent social networks: Topics by E-print Network

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

    into an organization's structure and dynamics. The creation and analysis of sample social media network datasets is described to illustrate types of enterprise networks and...

  16. animal social networks: Topics by E-print Network

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

    into an organization's structure and dynamics. The creation and analysis of sample social media network datasets is described to illustrate types of enterprise networks and...

  17. Modeling and Control Interactive Networks

    E-Print Network [OSTI]

    Amin, S. Massoud

    Modeling and Control of Complex Interactive Networks By Massoud Amin E nergy, telecommunications complex networks, geographi- cally dispersed, nonlinear, and interacting both among themselves, distributed, highly interactive networks, nor does any such entity have the ability to evaluate, monitor

  18. Survivability Considerations in Wireless Networks

    E-Print Network [OSTI]

    Ning, Jianxia

    2012-01-01T23:59:59.000Z

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

  19. FUNDAMENTAL PERFORMANCE LIMITS OF WIRELESS SENSOR NETWORKS

    E-Print Network [OSTI]

    Li, Baochun

    FUNDAMENTAL PERFORMANCE LIMITS OF WIRELESS SENSOR NETWORKS ZHIHUA HU, BAOCHUN LI Abstract. Understanding the fundamental performance limits of wireless sensor networks is critical towards. Key words. Wireless sensor networks, network capacity, network lifetime. 1. Introduction. When

  20. The browser prototype for the CTBT knowledge base

    SciTech Connect (OSTI)

    Armstrong, H.M.; Keyser, R.G.

    1997-07-02T23:59:59.000Z

    As part of the United States Department of Energy`s (DOE) Comprehensive Test Ban Treaty (CTBT) research and development effort, a Knowledge Base is being developed. This Knowledge Base will store the regional geophysical research results as well as geographic contexual information and make this information available to the Automated Data Processing (ADP routines) as well as human analysts involved in CTBT monitoring. This paper focuses on the initial development of a browser prototype to be used to interactively examine the contents of the CTBT Knowledge Base. The browser prototype is intended to be a research tool to experiment with different ways to display and integrate the datasets. An initial prototype version has been developed using Environmental Systems Research Incorporated`s (ESRI) ARC/INFO Geographic Information System (GIS) product. The conceptual requirements, design, initial implementation, current status, and future work plans are discussed. 4 refs., 2 figs.

  1. Integrating knowledge-based techniques into well-test interpretation

    SciTech Connect (OSTI)

    Harrison, I.W.; Fraser, J.L. [Artificial Intelligence Applications Inst., Edinburgh (United Kingdom)

    1995-04-01T23:59:59.000Z

    The goal of the Spirit Project was to develop a prototype of next-generation well-test-interpretation (WTI) software that would include knowledge-based decision support for the WTI model selection task. This paper describes how Spirit makes use of several different types of information (pressure, seismic, petrophysical, geological, and engineering) to support the user in identifying the most appropriate WTI model. Spirit`s knowledge-based approach to type-curve matching is to generate several different feasible interpretations by making assumptions about the possible presence of both wellbore storage and late-time boundary effects. Spirit fuses information from type-curve matching and other data sources by use of a knowledge-based decision model developed in collaboration with a WTI expert. The sponsors of the work have judged the resulting prototype system a success.

  2. JAMMING COMMUNICATION NETWORKS UNDER COMPLETE ...

    E-Print Network [OSTI]

    2007-02-08T23:59:59.000Z

    This paper describes a problem of interdicting/jamming communication networks in un- ... Jamming communication networks is an important problem but has.

  3. Water Network Design by MINLP

    E-Print Network [OSTI]

    2008-02-12T23:59:59.000Z

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

  4. D and D Knowledge Management Information Tool - 2012 - 12106

    SciTech Connect (OSTI)

    Upadhyay, H.; Lagos, L.; Quintero, W.; Shoffner, P. [Applied Research Center, Florida International University, Miami. FL 33174 (United States); DeGregory, J. [Office of D and D and Facility Engineering, Environmental Management, Department of Energy (United States)

    2012-07-01T23:59:59.000Z

    Deactivation and decommissioning (D and D) work is a high priority activity across the Department of Energy (DOE) complex. Subject matter specialists (SMS) associated with the different ALARA (As-Low-As-Reasonably-Achievable) Centers, DOE sites, Energy Facility Contractors Group (EFCOG) and the D and D community have gained extensive knowledge and experience over the years in the cleanup of the legacy waste from the Manhattan Project. To prevent the D and D knowledge and expertise from being lost over time from the evolving and aging workforce, DOE and the Applied Research Center (ARC) at Florida International University (FIU) proposed to capture and maintain this valuable information in a universally available and easily usable system. D and D KM-IT provides single point access to all D and D related activities through its knowledge base. It is a community driven system. D and D KM-IT makes D and D knowledge available to the people who need it at the time they need it and in a readily usable format. It uses the World Wide Web as the primary source for content in addition to information collected from subject matter specialists and the D and D community. It brings information in real time through web based custom search processes and its dynamic knowledge repository. Future developments include developing a document library, providing D and D information access on mobile devices for the Technology module and Hotline, and coordinating multiple subject matter specialists to support the Hotline. The goal is to deploy a high-end sophisticated and secured system to serve as a single large knowledge base for all the D and D activities. The system consolidates a large amount of information available on the web and presents it to users in the simplest way possible. (authors)

  5. Distributed Connectivity of Wireless Networks

    E-Print Network [OSTI]

    Halldorsson, Magnus M

    2012-01-01T23:59:59.000Z

    We consider the problem of constructing a communication infrastructure from scratch, for a collection of identical wireless nodes. Combinatorially, this means a) finding a set of links that form a strongly connected spanning graph on a set of $n$ points in the plane, and b) scheduling it efficiently in the SINR model of interference. The nodes must converge on a solution in a distributed manner, having no means of communication beyond the sole wireless channel. We give distributed connectivity algorithms that run in time $O(poly(\\log \\Delta, \\log n))$, where $\\Delta$ is the ratio between the longest and shortest distances among nodes. Given that algorithm without prior knowledge of the instance are essentially limited to using uniform power, this is close to best possible. Our primary aim, however, is to find efficient structures, measured in the number of slots used in the final schedule of the links. Our main result is algorithms that match the efficiency of centralized solutions. Specifically, the networks...

  6. Comparative analysis of collaboration networks

    SciTech Connect (OSTI)

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

    2011-03-14T23:59:59.000Z

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

  7. Honors Faculty Mentor Network

    E-Print Network [OSTI]

    Arnold, Jonathan

    @uga.edu ELIZABETH MANLEY, Administrative Assistant eym@uga.edu KAREN NEWCOMB, Network Administrator knewcombHonors Faculty Mentor Network Providing Students with Friends on the Faculty Mentor Handbook 2006@uga.edu REBECCA CHENEY, Program Assistant rcheney@uga.edu PAULA LANGSTON, Administrative Associate fellows

  8. Computer Networks Rutgers University

    E-Print Network [OSTI]

    Badrinath, B. R.

    Ed. (2010), by James F. Kurose and Keith W. Ross. l TCP/IP Illustrated, Volume 1: The Protocols by W. Richard Stevens. l Unix Network Programming: Networking APIs: Sockets and XTI (Volume 1) by W. Richard Stevens. l Advanced Programming in the Unix Environment by W. Richard Stevens, Addison-Wesley, 1993. l I

  9. Financial Networks Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    World Oil Routes Natural Gas Flows Network Systems Internet Traffic Anna Nagurney Financial Networks #12 Gothenburg University Gothenburg, Sweden and John F. Smith Memorial Professor Director ­ Virtual Center, 2012 School of Business, Economics and Law Gothenburg University, Sweden Anna Nagurney Financial

  10. Analyzing Network-Wide Interactions Using Graphs: Techniques and Applications

    E-Print Network [OSTI]

    Iliofotou, Marios

    2011-01-01T23:59:59.000Z

    IP networks. They enable network administrators to gain in-Network Managment Network Administrator Figure 1.1: Basica valuable tool for network administrators to detect

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

    E-Print Network [OSTI]

    Manohar, Rajit

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

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

    E-Print Network [OSTI]

    Médard, Muriel

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

  13. Introduction to Network Science 1 Introduction to Network Science

    E-Print Network [OSTI]

    Safro, Ilya

    of nuclear power plant Actors, Reactors and More #12;Introduction to Network Science 12 #12;Introduction A 80 B 60 C 0 F #12;Introduction to Network Science 2 Recommended Books (optional) #12;Introduction to Network Science 3 Recommended Books (optional) #12;Introduction to Network Science 4 facebook #12

  14. Social Network Analysis Plugin (SNAP) for Mesh Networks

    E-Print Network [OSTI]

    Kotz, David

    networks, called Mesh-Mon, that can help a team of system administrators (sysadmins) manage a wireless. In a wireless mesh network context, a system administrator should pay attention to "bridging nodes" sinceSocial Network Analysis Plugin (SNAP) for Mesh Networks Soumendra Nanda BAE Systems Burlington, MA

  15. UCIT Data Network Standards Campus Wireless Network Standard

    E-Print Network [OSTI]

    Habib, Ayman

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

  16. Prolonging Network Lifetime for Target Coverage in Sensor Networks

    E-Print Network [OSTI]

    Liang, Weifa

    limits the network lifetime and impairs the network quality. To prolong the network lifetime, energy-efficiency network used for monitoring targets. One efficient method of reducing the energy consumption of sensors Department of Computer Science, The Australian National University Canberra, ACT 0200, Australia Abstract

  17. INTERACTING WITH SOCIAL NETWORKS TO IMPROVE HEALTHCARE BODY SENSOR NETWORKS

    E-Print Network [OSTI]

    Miles, Will

    INTERACTING WITH SOCIAL NETWORKS TO IMPROVE HEALTHCARE BODY SENSOR NETWORKS by DAVID BAUSCHLICHER monitor and record data while minimizing the energy expenditure of nodes in the BSN. Social networking to a social network creates the unique ability to share health related data with other users through social

  18. New Paradigm for Seismic Networks: Crowd-Sourced Seismic Networks,

    E-Print Network [OSTI]

    Greer, Julia R.

    #12;New Paradigm for Seismic Networks: Crowd-Sourced Seismic Networks, including Buildings Tom Egill Hauksson #12;SCSN: what does it encompass? · ~360 Seismic Stations · ~60 stations from partners SCSN/SCEDC total of ~26 FTE's #12;Crowd Sourced Networks · Current broadband seismic network

  19. Mobile RobotsSensor Networks Autonomous Sensor/Actuator Networks

    E-Print Network [OSTI]

    Breu, Ruth

    mobile networks with dynamic topology Optimized task allocation and communication based on application and energy constraints Secure communication and data management in mobile sensor networks Solution SpaceMobile RobotsSensor Networks Autonomous Sensor/Actuator Networks ROSES RObot assisted SEnsor

  20. Collective network routing

    DOE Patents [OSTI]

    Hoenicke, Dirk

    2014-12-02T23:59:59.000Z

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

  1. KNOWLEDGE-BASED SALES ADVISORY: EXPERIENCES AND FUTURE DIRECTIONS

    E-Print Network [OSTI]

    Jannach, Dietmar

    of such appli- cations, such as knowledge engineering, software maintenance, or testing. In addition, we are `Extended debugging support', `Automated extraction of product data from web sources', `Log mining for which no buying history is available. Finally, these systems do not work well for tech- nical goods like

  2. Knowledge discovery using data mined from Nuclear Magnetic

    E-Print Network [OSTI]

    Narasayya, Vivek

    Knowledge discovery using data mined from Nuclear Magnetic Resonance spectral images William J cyberinfrastructure · Method ­ Solid State ab initio calculations ­ Nuclear Magnetic Resonance (NMR) ­ Support Vector refined (and/or relaxed) structure, perform Self-Consistent Field calculation for electronic structure

  3. Knowledge Structures and Didactic Model Selection in Learning Object Navigation

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Knowledge Structures and Didactic Model Selection in Learning Object Navigation Dietrich Albert' of the content of the learning objects, and (2) a `didactic preference level' of the specific preferences constraints and the didactic constraints are available. 1 Introduction According to the SCORM (Shareable

  4. Digital Libraries, Conceptual Knowledge Systems, and the Nebula Interface

    E-Print Network [OSTI]

    Kent, Robert E

    2011-01-01T23:59:59.000Z

    Concept Analysis provides a principled approach to effective management of wide area information systems, such as the Nebula File System and Interface. This not only offers evidence to support the assertion that a digital library is a bounded collection of incommensurate information sources in a logical space, but also sheds light on techniques for collaboration through coordinated access to the shared organization of knowledge.

  5. Climate Change in Arizona: Current Knowledge and Future

    E-Print Network [OSTI]

    Zhang, Junshan

    's premier climate scientists discuss the impacts of climate change on Arizona's water, energy, healthClimate Change in Arizona: Current Knowledge and Future Collaborations Among the State Universities 230 Arizona State University, Tempe Campus Join us for a cross-university climate forum, as Arizona

  6. RANDOMIZING THE KNOWLEDGE ACQUISITION BOTTLENECK Stuart H. Rubin

    E-Print Network [OSTI]

    Trajkovic, Ljiljana

    applications. For example, the medical rule, IF the patient is coughing THEN prescribe cough syrup; is usually true. However, an expert medical system having this limited medical knowledge would prescribe cough specific rule: IF the patient is coughing AND the patient was just eating THEN apply Dr. Heimlich

  7. Building Knowledge about Buildings Matthew T. Young and Eyal Amir

    E-Print Network [OSTI]

    Amir, Eyal

    Building Knowledge about Buildings Matthew T. Young and Eyal Amir University of Illinois, Urbana The ability to encode information about the structure of buildings is essential for the development of applications which are able to reason about buildings and answer queries concerning their design and function

  8. A KNOWLEDGE BASE FOR EVALUATION AND DESIGN OF INSTRUCTIONAL MULTIMEDIA

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A KNOWLEDGE BASE FOR EVALUATION AND DESIGN OF INSTRUCTIONAL MULTIMEDIA SOFTWARE STÉPHANE CROZAT, PHILIPPE TRIGANO, OLIVIER HU ABSTRACT. Authors and users of multimedia educational software are in front, making tools to assist in evaluating and designing multimedia pedagogical software. The second part

  9. Two Ways to Common Knowledge Samuel Bucheli1,2

    E-Print Network [OSTI]

    Jäger, Gerhard

    M4M 2009 Two Ways to Common Knowledge Samuel Bucheli1,2 Roman Kuznets1,2 Thomas Studer2 Institut f Science Foundation grant 200021­117699. 2 Emails: {bucheli, kuznets, tstuder}@iam.unibe.ch This paper.elsevier.com/locate/entcs #12;Bucheli, Kuznets and Studer the infinitary conjunction everybody knows A and everybody knows

  10. Justifications for Common Knowledge Samuel Bucheli --Roman Kuznets --Thomas Studer

    E-Print Network [OSTI]

    Jäger, Gerhard

    - Justifications for Common Knowledge Samuel Bucheli -- Roman Kuznets -- Thomas Studer Institut für) {bucheli, kuznets, tstuder}@iam.unibe.ch ABSTRACT. Justification logics are epistemic logics., 2009) and to study self-referential proofs (Kuznets, 2010). Instead of statements A is known, denoted A

  11. ADVANCES IN TECHNOLOGY-BASED EDUCATION: TOWARDS A KNOWLEDGE

    E-Print Network [OSTI]

    Lobo, Fernando

    these technologies in a natural way. In our opinion, this preparation must start soon, during pre-school, becauseADVANCES IN TECHNOLOGY-BASED EDUCATION: TOWARDS A KNOWLEDGE BASED SOCIETY Proceedings of the II International Conference on Multimedia and Information & Communication Technologies in Education m-ICTE2003 www

  12. Adding Domain Knowledge to Latent Topic Models Xiaojin Zhu

    E-Print Network [OSTI]

    Zhu, Xiaojin "Jerry"

    (Wisconsin) Knowledge LDA 5 / 42 #12;Some Topics by Latent Dirichlet Allocation (LDA) [Blei et al., JMLR by Latent Dirichlet Allocation (LDA) [Blei et al., JMLR 2003] p(word | topic) "troops" "election" "love influence [Gerrish & Blei, 2009] Matching papers to reviewers [Mimno & McCallum, 2007] Zhu (Wisconsin

  13. Concrete vs. Abstract Problem Formats: A Disadvantage of Prior Knowledge

    E-Print Network [OSTI]

    Heckler, Andrew F.

    Concrete vs. Abstract Problem Formats: A Disadvantage of Prior Knowledge Andrew F. Heckler experiments examine the effects of varying the relative concreteness of physics word problems on student performance.Previous studies have found that concrete representations benefit performance for relatively

  14. Integrating Knowledge Management and Human Resources via Skill Management

    E-Print Network [OSTI]

    Appelrath, Hans-Jürgen

    Integrating Knowledge Management and Human Resources via Skill Management Norbert Gronau. The human resources department can look for certain skills and compare the skills of an employee [Kreitmeier et al. 2000]. The company is able to save costs that otherwise apply to placing adverts for job

  15. Designing Effective Knowledge Management Systems for Scholars and (Science)

    E-Print Network [OSTI]

    Menczer, Filippo

    on brain can mange Leonardo Da Vinci (1452-1519) #12;3 20th Century: One person can make major contribute Amount of knowledge on brain can mange 21th Century: One person can make major contributions mange #12;4 21th Century: One person can make major contributions to a specific area of science Mankind

  16. ISI Web of KnowledgeSM : Creating Alerts

    E-Print Network [OSTI]

    Wurtele, Jonathan

    ISI Web of KnowledgeSM : Creating Alerts http://isiknowledge.com/ The alerting capacity in ISI Web text · HTML · ISI ResearchSoft (for import into EndNote) · Field Tagged (for import into RefWorks) #12

  17. ISPE: A knowledge-based system for fluidization studies

    SciTech Connect (OSTI)

    Reddy, S.

    1991-01-01T23:59:59.000Z

    Chemical engineers use mathematical simulators to design, model, optimize and refine various engineering plants/processes. This procedure requires the following steps: (1) preparation of an input data file according to the format required by the target simulator; (2) excecuting the simulation; and (3) analyzing the results of the simulation to determine if all specified goals'' are satisfied. If the goals are not met, the input data file must be modified and the simulation repeated. This multistep process is continued until satisfactory results are obtained. This research was undertaken to develop a knowledge based system, IPSE (Intelligent Process Simulation Environment), that can enhance the productivity of chemical engineers/modelers by serving as an intelligent assistant to perform a variety tasks related to process simulation. ASPEN, a widely used simulator by the US Department of Energy (DOE) at Morgantown Energy Technology Center (METC) was selected as the target process simulator in the project. IPSE, written in the C language, was developed using a number of knowledge-based programming paradigms: object-oriented knowledge representation that uses inheritance and methods, rulebased inferencing (includes processing and propagation of probabilistic information) and data-driven programming using demons. It was implemented using the knowledge based environment LASER. The relationship of IPSE with the user, ASPEN, LASER and the C language is shown in Figure 1.

  18. Knowledge protection and partner selection in R&D alliances

    E-Print Network [OSTI]

    Li, Dan

    2006-10-30T23:59:59.000Z

    This dissertation investigates three sets of research questions. First, how can partner selection be used as a mechanism to minimize R&D alliance participants� concerns about knowledge leakage? And what is the nature of the relationship among...

  19. Inverse diffusion from knowledge of power densities Guillaume Bal

    E-Print Network [OSTI]

    Bal, Guillaume

    asymptotic expansions and (Fourier) transformation, this allow us to construct the power density) provides access to the power density H(x) = (x)|u|2 (x) for all x inside the domain of interestInverse diffusion from knowledge of power densities Guillaume Bal , Eric Bonnetier , Fran

  20. A Knowledge-based Approach for Lifelike Gesture Stefan Kopp

    E-Print Network [OSTI]

    Moeller, Ralf

    behaviors of virtual anthropomorphic agents, widely used in human-computer interfaces, are increasinglyA Knowledge-based Approach for Lifelike Gesture Animation Stefan Kopp and Ipke Wachsmuth Abstract. The inclusion of additional modalities into the commu- nicative behavior of virtual agents

  1. Important Cognitive Components of Domain-Specific Search Knowledge

    E-Print Network [OSTI]

    Bhavnani, Suresh K.

    the subject-specific terms to enter in a query. For example, many university students often buy electronicImportant Cognitive Components of Domain-Specific Search Knowledge Suresh K. Bhavnani School Many users have acquired a sophisticated understanding of searching the Web in specific domains

  2. Head Knowledge: Summary (Segment from the Tin Shed essay)

    E-Print Network [OSTI]

    O'Laughlin, Jay

    Head Knowledge: Summary (Segment from the Tin Shed essay) While certainly much more nuanced than would declare that it's to be discovered outside Tin Shed, viewed from the wooden bench. Reality of reliability and validity (Frey 1994:95-104). While traveling outside the Tin Shed, systematic analysis

  3. Knowledge Transformation for Cross-Domain Sentiment Classification

    E-Print Network [OSTI]

    Li, Tao

    Knowledge Transformation for Cross-Domain Sentiment Classification Tao Li School of Computer With the explosion of user-generated web2.0 content in the form of blogs, wikis and discussion forums, the Internet domain, thereby build- ing high-quality sentiment models without manual effort? We outline a novel

  4. Harvesting Knowledge from Web Data and Text Tutorial Proposal for CIKM 2010 (1/2 Day)

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ) a catalyst for acquisition of further knowledge and largely automated maintenance and growth of the knowl in data and text mining, knowledge extraction, knowledge-based search, and uncertain data management. It aims at providing valuable knowledge about available data assets, as well as basic methods

  5. Concurrent Zero-Knowledge Proofs for NP Joe Kilian y Erez Petrank z Ransom Richardson x

    E-Print Network [OSTI]

    Petrank, Erez

    Cummings Center, Beverly, MA 01915. rrichard@groove.net. 1 #12; zero-knowledge protocols that are robustConcurrent Zero-Knowledge Proofs for NP #3; Joe Kilian y Erez Petrank z Ransom Richardson x November 26, 2001 Abstract A proof is concurrent zero-knowledge if it remains zero-knowledge when many

  6. A First Experimental Demonstration of Massive Knowledge Infusion Loizos Michael and Leslie G. Valiant

    E-Print Network [OSTI]

    Valiant, Leslie

    A First Experimental Demonstration of Massive Knowledge Infusion Loizos Michael and Leslie G situations. Knowledge Infusion is an approach to this problem in which the commonsense knowledge is acquired that chain- ing the learned rules is efficacious for reasoning. Introduction Knowledge Infusion

  7. Mathematically Reduced Chemical Reaction Mechanism Using Neural Networks

    SciTech Connect (OSTI)

    Ziaul Huque

    2007-08-31T23:59:59.000Z

    This is the final technical report for the project titled 'Mathematically Reduced Chemical Reaction Mechanism Using Neural Networks'. The aim of the project was to develop an efficient chemistry model for combustion simulations. The reduced chemistry model was developed mathematically without the need of having extensive knowledge of the chemistry involved. To aid in the development of the model, Neural Networks (NN) was used via a new network topology known as Non-linear Principal Components Analysis (NPCA). A commonly used Multilayer Perceptron Neural Network (MLP-NN) was modified to implement NPCA-NN. The training rate of NPCA-NN was improved with the GEneralized Regression Neural Network (GRNN) based on kernel smoothing techniques. Kernel smoothing provides a simple way of finding structure in data set without the imposition of a parametric model. The trajectory data of the reaction mechanism was generated based on the optimization techniques of genetic algorithm (GA). The NPCA-NN algorithm was then used for the reduction of Dimethyl Ether (DME) mechanism. DME is a recently discovered fuel made from natural gas, (and other feedstock such as coal, biomass, and urban wastes) which can be used in compression ignition engines as a substitute for diesel. An in-house two-dimensional Computational Fluid Dynamics (CFD) code was developed based on Meshfree technique and time marching solution algorithm. The project also provided valuable research experience to two graduate students.

  8. In Proceedings of the Technology Demonstration Session of the 14th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2004, 5-8th October 2004 -Whittlebury Hall, Northamptonshire, UK.

    E-Print Network [OSTI]

    Tecuci, Gheorghe

    on Knowledge Engineering and Knowledge Management, EKAW 2004, 5-8th October 2004 - Whittlebury Hall assistance from knowledge engineers, to develop knowledge-based agents incorporating their expertise of knowledge bases and agents, by subject matter experts, with limited assistance from knowledge engineers [1

  9. Operations Research and the Captivating Study of Networks

    E-Print Network [OSTI]

    Nagurney, Anna

    Paradox and Evolutionary Variational Inequalities · A New Network Performance/Efficiency Measure;Subway Network Railroad Network Iridium Satellite Constellation Network Satellite and Undersea Cable Networks Duke Energy Gas Pipeline Network Transportation, Communication, and Energy Networks #12;Components

  10. Operations Research and the Captivating Study of Networks

    E-Print Network [OSTI]

    Nagurney, Anna

    Variational Inequalities · A New Network Performance/Efficiency Measure with Applications to Critical;Subway Network Railroad Network Iridium Satellite Constellation Network Satellite and Undersea Cable Networks Duke Energy Gas Pipeline Network Transportation, Communication, and Energy Networks #12;Components

  11. SYNTHESIS LECTURES ON COMMUNICATION NETWORKS

    E-Print Network [OSTI]

    Huang, Jianwei

    Pricing Jean Walrand, Series Editor Jianwei Huang Lin Gao SYNTHESIS LECTURES ON COMMUNICATION NETWORKS CM& Morgan Claypool Publishers& Wireless Network Pricing Jean Walrand, Series Editor Jianwei Huang Lin Gao SYNTHESIS LECTURES ON COMMUNICATION NETWORKS CM& Morgan Claypool Publishers& Wireless Network Pricing Jean

  12. Mesoscale Analyses of Fungal Networks

    E-Print Network [OSTI]

    Lee, Sang Hoon; Porter, Mason A

    2014-01-01T23:59:59.000Z

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

  13. Optical Network Testbeds Workshop

    SciTech Connect (OSTI)

    Joe Mambretti

    2007-06-01T23:59:59.000Z

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

  14. A quantum access network

    E-Print Network [OSTI]

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

    2014-09-02T23:59:59.000Z

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

  15. Vehicle Technologies Office: National Idling Reduction Network...

    Office of Environmental Management (EM)

    Idling Reduction Network News Archives Vehicle Technologies Office: National Idling Reduction Network News Archives The National Idling Reduction Network brings together trucking...

  16. Reverse Engineering User Behaviors From Network Traffic

    E-Print Network [OSTI]

    Xie, Guowu

    2013-01-01T23:59:59.000Z

    Hunter enable ISPs, network administrators and researchersto help ISPs and network administrators to better understandHunter, ISPs and network administrators can learn which

  17. Wireless Sensor Networks for Home Health Care

    E-Print Network [OSTI]

    2007-01-01T23:59:59.000Z

    Wireless Sensor Networks for Home Health Care Chris R.Cooperation between wireless sensor networks and existingapplications of wireless sensor networks. In this paper we

  18. Special Issue on “Wireless Sensor Networks

    E-Print Network [OSTI]

    Yao, Kung; Zhang, Qian; Zhao, Qing

    2009-01-01T23:59:59.000Z

    Special Issue on “Wireless Sensor Networks” Kung Yao & Qianand tracking, etc. Wireless sensor networks utilize theaspects of wireless sensor networks. The first paper, “

  19. Data Transport Control in Wireless Sensor Networks

    E-Print Network [OSTI]

    Zhang, Hongwei; Naik, Vinayak S

    2008-01-01T23:59:59.000Z

    Congestion in Wireless Sensor Networks. ACM SenSys SandeepJohn Anderson (2002). Wireless Sensor Networks for HabitatWorkshop on Wireless Sensor Networks and Applications Miklos

  20. Better Buildings Residential Network Case Study: Partnerships...

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

    Network Case Study: Partnerships Better Buildings Residential Network Case Study: Partnerships Better Buildings Residential Network Case Study: Partnerships, from the U.S....

  1. Fact Sheet: Better Buildings Residential Network

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

    Fact Sheet BETTER BUILDINGS RESIDENTIAL NETWORK Learn more at betterbuildings.energy.govbbrn What Is the Residential Network? The Better Buildings Residential Network connects...

  2. BES Science Network Requirements

    SciTech Connect (OSTI)

    Dart, Eli; Tierney, Brian; Dart, Eli; Biocca, A.; Carlson, R.; Chen, J.; Cotter, S.; Dattoria, V.; Davenport, J.; Gaenko, A.; Kent, P.; Lamm, M.; Miller, S.; Mundy, C.; Ndousse, T.; Pederson, M.; Perazzo, A.; Popescu, R.; Rouson, D.; Sekine, Y.; Sumpter, B.; Wang, C.-Z.; Whitelam, S.; Zurawski, J.

    2011-02-01T23:59:59.000Z

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

  3. Thermal network reduction

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1983-06-01T23:59:59.000Z

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

  4. Thermal network reduction

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1983-01-01T23:59:59.000Z

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

  5. A Data and Knowledge Management System for Intelligent Buildings

    E-Print Network [OSTI]

    Hong, J.; Chen, Z.; Li, H.; Xu, Q.

    2006-01-01T23:59:59.000Z

    words: Intelligent building; Assessment; Methodology; Information system 1. INTRODUCTION It is the development and application of modern technologies in the areas of information, communication, materials, and machinery in the construction.... According to our literature review [12], key technologies that support IBs include sustainable architecture, building structure control, building facility control, computer and network, information and communication, safety and security control...

  6. http://www.isr.uci.edu/ Knowledge-based Architectural

    E-Print Network [OSTI]

    Georgas, John

    autonomously change in response to dynamic conditions: Behavior, property, environment, etc. Architecture sensor nodes. Connector (C1) Battery Monitor (M) Monitors battery levels and emits notifications. Data: Sensor Network Re-Transmission Data Receiver (R) Receives data from sensor nodes. Connector (C1) Battery

  7. Control over Wireless NetworksControl over Wireless Networks Karl Henrik Johansson

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Control over Wireless NetworksControl over Wireless Networks Karl Henrik Johansson School wireless networksOutline: Control over wireless networks · Motivating examples · Benefits and barriersMotivation for control over wireless networkscontrol over wireless networks · Wireless industrial automation

  8. Complex Dynamics of Autonomous Communication Networks and the Intelligent Communication Paradigm

    E-Print Network [OSTI]

    Andrei P. Kirilyuk

    2006-03-16T23:59:59.000Z

    Dynamics of arbitrary communication system is analysed as unreduced interaction process. The applied generalised, universally nonperturbative method of effective potential reveals the phenomenon of dynamic multivaluedness of competing system configurations forced to permanently replace each other in a causally random order, which leads to universally defined dynamical chaos, complexity, fractality, self-organisation, and adaptability (physics/9806002, physics/0211071, physics/0405063). We demonstrate the origin of huge, exponentially high efficiency of the unreduced, complex network dynamics and specify the universal symmetry of complexity (physics/0404006) as the fundamental guiding principle for creation and control of such qualitatively new kind of networks and devices. The emerging intelligent communication paradigm and its practical realisation in the form of knowledge-based networks involve the features of true, unreduced intelligence and consciousness (physics/0409140) appearing in complex (multivalued) network dynamics and results.

  9. CO2017 Operating Systems, Networks and Distributed Systems Credits: 20 Convenor: Dr. S. Yang Semester: 2nd

    E-Print Network [OSTI]

    Yang, Shengxiang

    Study: 90 hours Subject Knowledge Aims To understand the role, structure and basic design of computer operating systems; the fundamental theory and practice of networks; and the theory and design of systems; hardware features; interrupts; kernal mode. User interface Model of user interface; sytem calls; command

  10. System Simulation for EMC Network Analysis M.Foissac, JL.Schanen, G.Frantz, D.Frey

    E-Print Network [OSTI]

    Boyer, Edmond

    System Simulation for EMC Network Analysis M.Foissac, JL.Schanen, G.Frantz, D.Frey G2ELab (UMR 5269 to represent their EMC behavior. The model does not need any knowledge of the converter design since. INTRODUCTION Determining the ElectroMagnetic Compatibility (EMC) behavior of any electrical system is always

  11. Towards OWL-based Knowledge Representation in Petrology

    E-Print Network [OSTI]

    Shkotin, Alex; Kudryavtsev, Dmitry

    2011-01-01T23:59:59.000Z

    This paper presents our work on development of OWL-driven systems for formal representation and reasoning about terminological knowledge and facts in petrology. The long-term aim of our project is to provide solid foundations for a large-scale integration of various kinds of knowledge, including basic terms, rock classification algorithms, findings and reports. We describe three steps we have taken towards that goal here. First, we develop a semi-automated procedure for transforming a database of igneous rock samples to texts in a controlled natural language (CNL), and then a collection of OWL ontologies. Second, we create an OWL ontology of important petrology terms currently described in natural language thesauri. We describe a prototype of a tool for collecting definitions from domain experts. Third, we present an approach to formalization of current industrial standards for classification of rock samples, which requires linear equations in OWL 2. In conclusion, we discuss a range of opportunities arising ...

  12. Modeling, Simulation and Analysis of Complex Networked Systems: A Program Plan for DOE Office of Advanced Scientific Computing Research

    SciTech Connect (OSTI)

    Brown, D L

    2009-05-01T23:59:59.000Z

    Many complex systems of importance to the U.S. Department of Energy consist of networks of discrete components. Examples are cyber networks, such as the internet and local area networks over which nearly all DOE scientific, technical and administrative data must travel, the electric power grid, social networks whose behavior can drive energy demand, and biological networks such as genetic regulatory networks and metabolic networks. In spite of the importance of these complex networked systems to all aspects of DOE's operations, the scientific basis for understanding these systems lags seriously behind the strong foundations that exist for the 'physically-based' systems usually associated with DOE research programs that focus on such areas as climate modeling, fusion energy, high-energy and nuclear physics, nano-science, combustion, and astrophysics. DOE has a clear opportunity to develop a similarly strong scientific basis for understanding the structure and dynamics of networked systems by supporting a strong basic research program in this area. Such knowledge will provide a broad basis for, e.g., understanding and quantifying the efficacy of new security approaches for computer networks, improving the design of computer or communication networks to be more robust against failures or attacks, detecting potential catastrophic failure on the power grid and preventing or mitigating its effects, understanding how populations will respond to the availability of new energy sources or changes in energy policy, and detecting subtle vulnerabilities in large software systems to intentional attack. This white paper outlines plans for an aggressive new research program designed to accelerate the advancement of the scientific basis for complex networked systems of importance to the DOE. It will focus principally on four research areas: (1) understanding network structure, (2) understanding network dynamics, (3) predictive modeling and simulation for complex networked systems, and (4) design, situational awareness and control of complex networks. The program elements consist of a group of Complex Networked Systems Research Institutes (CNSRI), tightly coupled to an associated individual-investigator-based Complex Networked Systems Basic Research (CNSBR) program. The CNSRI's will be principally located at the DOE National Laboratories and are responsible for identifying research priorities, developing and maintaining a networked systems modeling and simulation software infrastructure, operating summer schools, workshops and conferences and coordinating with the CNSBR individual investigators. The CNSBR individual investigator projects will focus on specific challenges for networked systems. Relevancy of CNSBR research to DOE needs will be assured through the strong coupling provided between the CNSBR grants and the CNSRI's.

  13. Lifting task design associate: a knowledge-based system

    E-Print Network [OSTI]

    Brooks, Susan Elaine

    1993-01-01T23:59:59.000Z

    sophisticated systems to aid in radar operations (Newquist, 1991). The first successful system is considered to be MYCIN This system was developed in the early 1970's to assist medical professionals in the diagnosis of hepatitis and meningitis (Hochron, 1990...LIFTING TASK DESIGN ASSOCIATE: A KNOWLEDGE-BASED SYSTEM A Thesis by Susan Elaine Brooks Submitted to the Oflice of Graduate Studies of Texas ARM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE...

  14. Plan generation strategies for a knowledge based process planning system

    E-Print Network [OSTI]

    Hari, Umesh

    1993-01-01T23:59:59.000Z

    August 1993 Major Subject: Industrial Engineering PLAN GENERATION STRATEGIES FOR A KNOWLEDGE BASED PROCESS PLANNING SYSTEM A Thesis by UMESH HARI Approved as to style and content by: Ri ar . Maye (Chair of Committee) / i en ember) Newton C... valuable comments on the thesis work. I am indebted to Dr. C. J. Su for arousing my interest in process planning. I have learned a lot about process planning and solid modeling from him. I also thank him for directing me to relevant literature...

  15. Hypertext as a debugging tool for knowledge-based systems

    E-Print Network [OSTI]

    Schuette, John Frederick

    1990-01-01T23:59:59.000Z

    in the nature of the consultation. Therefore, the HESDE is a more productive method of debugging expert systems than the traditional traces. The impact of these findings on both hypertext and expert systems development is discussed and further work... the processing of the system. Also, apparently minor changes in an expert system may bring about drastic changes in the course of a consultation. Depending on the tool, such a change may make the debugging task harder for the knowledge engineer, it would...

  16. A knowledge based model of electric utility operations. Final report

    SciTech Connect (OSTI)

    NONE

    1993-08-11T23:59:59.000Z

    This report consists of an appendix to provide a documentation and help capability for an analyst using the developed expert system of electric utility operations running in CLIPS. This capability is provided through a separate package running under the WINDOWS Operating System and keyed to provide displays of text, graphics and mixed text and graphics that explain and elaborate on the specific decisions being made within the knowledge based expert system.

  17. Women in STEM: True Self-Knowledge and Achievement Motivation

    E-Print Network [OSTI]

    Kavanaugh, Katherine Elizabeth

    2013-12-12T23:59:59.000Z

    of the requirements for the designation as an UNDERGRADUATE RESEARCH SCHOLAR Approved by Research Advisor: Dr. Rebecca Schlegel May 2014 Major: Psychology Women’s and Gender Studies TABLE OF CONTENTS Page ABSTRACT……………………………………………………………………………………… 1.... Rebecca Schlegel Department of Psychology In this study, I will examine whether there is a relationship between true-self knowledge and motivation to remain in a STEM major among female STEM students. Specifically, I hypothesize that a greater...

  18. Agricultural science students' perceptions and knowledge of hearing loss

    E-Print Network [OSTI]

    Slaydon, Sunny Leigh

    2009-05-15T23:59:59.000Z

    very large part of the personal lives of most farmers? (Lankford 2002) In 1996 Woodford, Lawrence, Fazalare, and Martin designed a study ?to determine the extent of hearing loss experienced by high school agriculture teachers in West Virginia... AGRICULTURAL SCIENCE STUDENTS? PERCEPTIONS AND KNOWLEDGE OF HEARING LOSS A Thesis by SUNNY LEIGH SLAYDON Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements...

  19. Using Prior Knowledge in the Design of Classifiers

    E-Print Network [OSTI]

    Shahrokh Esfahani, Mohammad

    2014-04-18T23:59:59.000Z

    USING PRIOR KNOWLEDGE IN THE DESIGN OF CLASSIFIERS A Dissertation by MOHAMMAD SHAHROKH ESFAHANI Submitted to the Office of Graduate and Professional Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR... OF PHILOSOPHY Chair of Committee, Edward Russell Dougherty Co-Chair of Committee, Aniruddha Datta Committee Members, Byung-Jun Yoon Ivan Ivanov Head of Department, Chanan Singh May 2014 Major Subject: Electrical Engineering Copyright 2014 Mohammad Shahrokh...

  20. The expandable network disk

    E-Print Network [OSTI]

    Muthitacharoen, Athicha, 1976-

    2008-01-01T23:59:59.000Z

    This thesis presents a virtual disk cluster called END, the Expandable Network Disk. END aggregates storage on a cluster of servers into a single virtual disk. END's main goals are to offer good performance during normal ...

  1. ENVIRONMENTAL LAW NETWORK

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ENVIRONMENTAL LAW NETWORK INTERNATIONAL RÉSEAU INTERNATIONAL DE DROIT DE L´ENVIRONNEMENT INTERNATIONALES NETZWERK UMWELTRECHT EU Enforcement Policy of Community Environmental law as presented in the Commission Communication on implementing European Community Environmental law Marta Ballesteros The direct

  2. BES Science Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2011-01-01T23:59:59.000Z

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

  3. Search using social networks

    E-Print Network [OSTI]

    Ammar, Ammar (Ammar T.)

    2010-01-01T23:59:59.000Z

    In this thesis, we present an approach to the problem of personalized web search which makes use of the searcher's social network, in addition to the hyper-link based score used in most search engines. This combination of ...

  4. Covert Communication Networks

    E-Print Network [OSTI]

    Nix, Timothy Glen

    2013-08-02T23:59:59.000Z

    of participation in the network to both other members of the group and external eavesdroppers, and finally on resilience against disconnection. In this dissertation, we describe the challenges and requirements for such a system. We consider the topologies...

  5. Capturing and Using Knowledge about the Use of Visualization Toolkits

    SciTech Connect (OSTI)

    Del Rio, Nicholas R.; Pinheiro da Silva, Paulo

    2012-11-02T23:59:59.000Z

    When constructing visualization pipelines using toolkits such as Visualization Toolkit (VTK) and Generic Mapping Tools (GMT), developers must understand (1) what toolkit operators will transform their data from its raw state to some required view state and (2) what viewers are available to present the generated view. Traditionally, developers learn about how to construct visualization pipelines by reading documentation and inspecting code examples, which can be costly in terms of the time and effort expended. Once an initial pipeline is constructed, developers may still have to undergo a trial and error process before a satisfactory visualization is generated. This paper presents the Visualization Knowledge Project (VisKo) that is built on a knowledge base of visualization toolkit operators and how they can be piped together to form visualization pipelines. Developers may now rely on VisKo to guide them when constructing visualization pipelines and in some cases, when VisKo has complete knowledge about some set of operators (i.e., sequencing and parameter settings), automatically generate a fully functional visualization pipeline.

  6. Pesticide use knowledge and practices: A gender differences in Nepal

    SciTech Connect (OSTI)

    Atreya, Kishor [Alternative Development and Research Center (ADRC), GPO BOX 20078, Kathmandu (Nepal)]. E-mail: k.atreya@gmail.com

    2007-06-15T23:59:59.000Z

    It is important to understand gender difference on pesticide use knowledge, attitude and practices for identifying pesticide risks by gender and to recommend more gender-sensitive programs. However, very few studies have been conducted so far in Nepal. This study, thus, interviewed a total of 325 males and 109 females during 2005 to assess gender differences on pesticide use knowledge, attitude and practices. More than 50% females had never been to school and only <8% individuals were found trained in Integrated Pest Management (IPM). Almost all males and females did not smoke, drink and eat during pesticides application and also believed that pesticides are harmful to human health, livestock, plant diversity and their environment. However, there were gender differences on household decision on pesticides to be used (p<0.001), care of wind direction during spraying (p=0.032), prior knowledge on safety measures (p=0.016), reading and understanding of pesticides labels (p<0.001), awareness of the labels (p<0.001) and protective covers. Almost all respondents were aware of negative impacts of pesticide use on human health and environment irrespective of gender; however, females were at higher risk due to lower level of pesticide use safety and awareness. It is strongly recommended to initiate gender-sensitive educational and awareness activities, especially on pesticide use practices and safety precautions.

  7. SU-E-T-51: Bayesian Network Models for Radiotherapy Error Detection

    SciTech Connect (OSTI)

    Kalet, A; Phillips, M; Gennari, J [UniversityWashington, Seattle, WA (United States)

    2014-06-01T23:59:59.000Z

    Purpose: To develop a probabilistic model of radiotherapy plans using Bayesian networks that will detect potential errors in radiation delivery. Methods: Semi-structured interviews with medical physicists and other domain experts were employed to generate a set of layered nodes and arcs forming a Bayesian Network (BN) which encapsulates relevant radiotherapy concepts and their associated interdependencies. Concepts in the final network were limited to those whose parameters are represented in the institutional database at a level significant enough to develop mathematical distributions. The concept-relation knowledge base was constructed using the Web Ontology Language (OWL) and translated into Hugin Expert Bayes Network files via the the RHugin package in the R statistical programming language. A subset of de-identified data derived from a Mosaiq relational database representing 1937 unique prescription cases was processed and pre-screened for errors and then used by the Hugin implementation of the Estimation-Maximization (EM) algorithm for machine learning all parameter distributions. Individual networks were generated for each of several commonly treated anatomic regions identified by ICD-9 neoplasm categories including lung, brain, lymphoma, and female breast. Results: The resulting Bayesian networks represent a large part of the probabilistic knowledge inherent in treatment planning. By populating the networks entirely with data captured from a clinical oncology information management system over the course of several years of normal practice, we were able to create accurate probability tables with no additional time spent by experts or clinicians. These probabilistic descriptions of the treatment planning allow one to check if a treatment plan is within the normal scope of practice, given some initial set of clinical evidence and thereby detect for potential outliers to be flagged for further investigation. Conclusion: The networks developed here support the use of probabilistic models into clinical chart checking for improved detection of potential errors in RT plans.

  8. Causal networks in EIA

    SciTech Connect (OSTI)

    Perdicoulis, Anastassios [Departamento de Engenharia Biologica e Ambiental, Universidade de Tras-os-Montes e Alto Douro, Apartado 1013, 5001-801 Vila Real (Portugal)]. E-mail: tasso@utad.pt; Glasson, John [Oxford Brookes University, Oxford Institute for Sustainable Development, School of the Built Environment, Headington Campus, Gipsy Lane, Oxford OX3 0BP (United Kingdom)]. E-mail: jglasson@brookes.ac.uk

    2006-08-15T23:59:59.000Z

    Causal networks have been used in Environmental Impact Assessment (EIA) since its early days, but they appear to have a minimal use in modern practice. This article reviews the typology of causal networks in EIA as well as in other academic and professional fields, verifies their contribution to EIA against the principles and requirements of the process, and discusses alternative scenarios for their future in EIA.

  9. Network line plotting

    E-Print Network [OSTI]

    Pry, William Freeman

    1967-01-01T23:59:59.000Z

    has been described correctly. When the network has been determined to be "clean", oz free of error, several minimum path trees are built (test trees) and checked. Test trees are examined to insure that lirk hnpedances and distances are correct... and that the minimum paths have been correctly calculated. Having insured that the test trees are clean, the trees for all zones are built, the network loaded with the desired tzip volumes, and the resulting loaded netv. orl- analyzed. While the calculated results...

  10. Optimization in Networks

    E-Print Network [OSTI]

    Adilson E. Motter; Zoltan Toroczkai

    2007-07-07T23:59:59.000Z

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

  11. Cooperative Diversity Routing in Wireless Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  12. Collaborative Firewalling in Wireless Networks Mahmoud Taghizadeh

    E-Print Network [OSTI]

    Liu, Alex X.

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

  13. Wireless sensor networks for measuring traffic

    E-Print Network [OSTI]

    Varaiya, Pravin

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

  14. Foundations of Artificial Intelligence Neural Networks

    E-Print Network [OSTI]

    Qu, Rong

    Foundations of Artificial Intelligence Neural Networks Building Artificial Brains #12;Background Session 2 Software Demonstrations Real World Applications #12;Artificial Neural Networks ... consists to operate. Wiki #12;Relationship between Artificial Neural Networks & the Human Brain Neural networks

  15. Semantic Social Network Analysis, a concrete case

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Semantic Social Network Analysis, a concrete case Guillaume Erétéo, Orange Labs, guillaume permitting a high degree of interaction between participants, and social network analysis (SNA) seeks) shared by the members of these networks. These enriched representations of social networks, combined

  16. US earthquake observatories: recommendations for a new national network

    SciTech Connect (OSTI)

    Not Available

    1980-01-01T23:59:59.000Z

    This report is the first attempt by the seismological community to rationalize and optimize the distribution of earthquake observatories across the United States. The main aim is to increase significantly our knowledge of earthquakes and the earth's dynamics by providing access to scientifically more valuable data. Other objectives are to provide a more efficient and cost-effective system of recording and distributing earthquake data and to make as uniform as possible the recording of earthquakes in all states. The central recommendation of the Panel is that the guiding concept be established of a rationalized and integrated seismograph system consisting of regional seismograph networks run for crucial regional research and monitoring purposes in tandem with a carefully designed, but sparser, nationwide network of technologically advanced observatories. Such a national system must be thought of not only in terms of instrumentation but equally in terms of data storage, computer processing, and record availability.

  17. Biographical Social Networks on Wikipedia - A cross-cultural study of links that made history

    E-Print Network [OSTI]

    Aragón, Pablo; Laniado, David; Volkovich, Yana

    2012-01-01T23:59:59.000Z

    It is arguable whether history is made by great men and women or vice versa, but undoubtably social connections shape history. Analysing Wikipedia, a global collective memory place, we aim to understanding how social interactions are recorded across cultures. We focus on the social networks of persons with biographical articles on the 15 largest language Wikipedias. We detect the most influential historical characters in these networks and point out culture-related peculiarities. Moreover, we reveal remarkable similarities between different groups of language Wikipedias and shared knowledge about social connections across cultures.

  18. atm networks pc: Topics by E-print Network

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

    ATM networks at the cell level. Owing to its object Gburzynski, Pawel 18 PMS: a PVC Management System for ATM Networks CiteSeer Summary: . Reported in this paper is the...

  19. amacrine cell network: Topics by E-print Network

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

    but also helps improve the QoS of the core network and saves the carriers' OPEX and CAPEX on their core networks. Ouyang, Ye; 10.5121ijngn.2010.2105 2010-01-01 64 The...

  20. Building a Network Simulation Model of the Teragrid Network

    E-Print Network [OSTI]

    Jiang, Wen

    Building a Network Simulation Model of the Teragrid Network Thomas Hacker Preston Smith* Computer are building largescale cyberinfrastructure systems, which couple computing, storage, data publishing is increasingly powered by simulation and analysis that combines high performance computers

  1. adaptive dynamic networks: Topics by E-print Network

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

    12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Epidemic dynamics on an adaptive network Condensed Matter (arXiv) Summary: Many real world networks are...

  2. Introduction to Network Analysis 1 Introduction to Network Analysis

    E-Print Network [OSTI]

    Safro, Ilya

    of movie actors Transportation and logistics network of nuclear power plant Actors, Reactors and More #12). Points Grade 92 A 80 B 60 C 0 F #12;Introduction to Network Analysis 2 Recommended Books (optional

  3. area network system: Topics by E-print Network

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

    of the experiment. The network management system is implemented based on a commercial SCADA system (PVSS II). We show here how a large scale network can be monitored and...

  4. Flexible application driven network striping over Wireless Wide Area Networks

    E-Print Network [OSTI]

    Qureshi, Asfandyar

    2005-01-01T23:59:59.000Z

    Inverse multiplexing, or network striping, allows the construction of a high-bandwidth virtual channel from a collection of multiple low-bandwidth network channels. Striping systems usually employ a packet scheduling policy ...

  5. Advanced Queueing Theory Networks of queues

    E-Print Network [OSTI]

    Boucherie, Richard J.

    , partial balance, product-form distribution, blocking, insensitivity, BCMP networks, mean-value analysis equations · Closed network: · Open network: #12;9closed network : equilibrium distribution · Theorem: The equilibrium distribution for the closed Jackson network containing N jobs is · Proof #12;10closed network

  6. International Journal of Network Security, Vol.4, No.2, PP.227-234, Mar. 2007 227 Pulsing RoQ DDoS Attack and Defense Scheme

    E-Print Network [OSTI]

    Yeung, Dit-Yan

    Q attacks. In this paper, we study in detail congestion-based RoQ DDoS attacks in mobile ad-hoc networks study congestion-based RoQ DDoS attacks in MANETs. To the best of our knowledge, our paper is the firstInternational Journal of Network Security, Vol.4, No.2, PP.227-234, Mar. 2007 227 Pulsing RoQ DDoS

  7. Accelerating Network Traffic Analytics Using Query-DrivenVisualization

    SciTech Connect (OSTI)

    Bethel, E. Wes; Campbell, Scott; Dart, Eli; Stockinger, Kurt; Wu,Kesheng

    2006-07-29T23:59:59.000Z

    Realizing operational analytics solutions where large and complex data must be analyzed in a time-critical fashion entails integrating many different types of technology. This paper focuses on an interdisciplinary combination of scientific data management and visualization/analysis technologies targeted at reducing the time required for data filtering, querying, hypothesis testing and knowledge discovery in the domain of network connection data analysis. We show that use of compressed bitmap indexing can quickly answer queries in an interactive visual data analysis application, and compare its performance with two alternatives for serial and parallel filtering/querying on 2.5 billion records worth of network connection data collected over a period of 42 weeks. Our approach to visual network connection data exploration centers on two primary factors: interactive ad-hoc and multiresolution query formulation and execution over n dimensions and visual display of then-dimensional histogram results. This combination is applied in a case study to detect a distributed network scan and to then identify the set of remote hosts participating in the attack. Our approach is sufficiently general to be applied to a diverse set of data understanding problems as well as used in conjunction with a diverse set of analysis and visualization tools.

  8. Complete multiplatform networking integration in a petroleum research environment

    SciTech Connect (OSTI)

    Jefferson, L.L.; Brill, J.P. (Univ. of Tulsa, OK (US))

    1991-07-01T23:59:59.000Z

    The Tulsa U. Fluid Flow Projects (TUFFP) is an industry/university research consortium established in 1973 to investigate multiphase flow in pipes for the petroleum industry. Currently, TUFFP maintains three types of computing power: HP/Apollo UNIX-based workstations, Apple Macintoshes, and AT-class IBM PC's and compatibles. The PC's, and more recently the Macintoshes, are used for data acquisition in experimental research facilities. The data are then transferred to HP/Apollo workstations for analysis and future simulation. The results from the workstation analysis are then ported to the Macintosh system for further graphical analysis in the form of plots and for report generation. This paper describes the current TUFFP computer network is a state-of-the-art and user-friendly system. Users require no prior knowledge of networking protocol and can transfer files among many computers in the network. Researchers can then concentrate on their research without checking hardware connections and learning software communication commands. Moreover, the new network can accommodate growth and change as new needs are introduced and the user population increases.

  9. Workflow Instance Detection: Toward A Knowledge Capture Methodology for Smart Oilfields

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    Workflow Instance Detection: Toward A Knowledge Capture Methodology for Smart Oilfields Fan Sun, and act as a knowledge base to assist with troubleshooting and training new employees. A smart oilfield

  10. Implementation Planning for the Introduction of Knowledge Management in an Aerospace Engineering Organization

    E-Print Network [OSTI]

    Hughes, Neil

    2013-05-17T23:59:59.000Z

    The availability of information within an aerospace organization is required for engineers to perform activities. As information is considered, it’s the experience of the engineer that allows information to become knowledge for use. Knowledge...

  11. Technology, Knowledge, Culture, and Management: the keys The shift from industrial societies to information societies

    E-Print Network [OSTI]

    Kopec, Danny

    Technology, Knowledge, Culture, and Management: the keys to success Abstract The shift from to success: technology, knowledge, culture and management. Organizations employ technology with the goal of improving efficiency and reducing operational costs. Hence technology structures within organizations must

  12. Learning common sense knowledge from user interaction and principal component analysis

    E-Print Network [OSTI]

    Speer, Robert (Robert H.)

    2007-01-01T23:59:59.000Z

    In this thesis, I present a system for reasoning with common sense knowledge in multiple natural languages, as part of the Open Mind Common Sense project. The knowledge that Open Mind collects from volunteer contributors ...

  13. REPUTATIONS FOR TOUGHNESS IN PATENT ENFORCEMENT: IMPLICATIONS FOR KNOWLEDGE SPILLOVERS VIA INVENTOR MOBILITY

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    REPUTATIONS FOR TOUGHNESS IN PATENT ENFORCEMENT: IMPLICATIONS FOR KNOWLEDGE SPILLOVERS VIA INVENTOR, Intangible Assets, Patents, Knowledge Spillovers, Employee Mobility University of Singapore patent database, and Bhavan Sampat for input and advice on examiner- added cites. We

  14. Demonstrating the benefits of knowledge management assets : developing and applying a valuation methodology

    E-Print Network [OSTI]

    Taylor, Aaron B

    2006-01-01T23:59:59.000Z

    Since the early 1980s numerous knowledge-dependent organizations have made diligent attempts to measure their intangible assets. In more recent years, knowledge-dependent organizations have expressed a desire to demonstrate ...

  15. The Strategic Environment Assessment bibliographic network: A quantitative literature review analysis

    SciTech Connect (OSTI)

    Caschili, Simone, E-mail: s.caschili@ucl.ac.uk [UCL QASER Lab, University College London, Gower Street, London WC1E 6BT (United Kingdom); De Montis, Andrea; Ganciu, Amedeo; Ledda, Antonio; Barra, Mario [Dipartimento di Agraria, University of Sassari, viale Italia, 39, 07100 Sassari (Italy)

    2014-07-01T23:59:59.000Z

    Academic literature has been continuously growing at such a pace that it can be difficult to follow the progression of scientific achievements; hence, the need to dispose of quantitative knowledge support systems to analyze the literature of a subject. In this article we utilize network analysis tools to build a literature review of scientific documents published in the multidisciplinary field of Strategic Environment Assessment (SEA). The proposed approach helps researchers to build unbiased and comprehensive literature reviews. We collect information on 7662 SEA publications and build the SEA Bibliographic Network (SEABN) employing the basic idea that two publications are interconnected if one cites the other. We apply network analysis at macroscopic (network architecture), mesoscopic (sub graph) and microscopic levels (node) in order to i) verify what network structure characterizes the SEA literature, ii) identify the authors, disciplines and journals that are contributing to the international discussion on SEA, and iii) scrutinize the most cited and important publications in the field. Results show that the SEA is a multidisciplinary subject; the SEABN belongs to the class of real small world networks with a dominance of publications in Environmental studies over a total of 12 scientific sectors. Christopher Wood, Olivia Bina, Matthew Cashmore, and Andrew Jordan are found to be the leading authors while Environmental Impact Assessment Review is by far the scientific journal with the highest number of publications in SEA studies. - Highlights: • We utilize network analysis to analyze scientific documents in the SEA field. • We build the SEA Bibliographic Network (SEABN) of 7662 publications. • We apply network analysis at macroscopic, mesoscopic and microscopic network levels. • We identify SEABN architecture, relevant publications, authors, subjects and journals.

  16. Vulnerability Analysis of Complex Networks from Transportation Networks to

    E-Print Network [OSTI]

    Nagurney, Anna

    and Electric Power Supply Chains Anna Nagurney John F. Smith Memorial Professor Department of Finance to Dynamic Networks · Where Are We Now? An Empirical Case Study to Real-World Electric Power Supply ChainsVulnerability Analysis of Complex Networks from Transportation Networks to the Internet

  17. Towards Data-Driven Declarative Networking in Delay Tolerant Networks

    E-Print Network [OSTI]

    Tucci, Sara

    .lastname}@cl.cam.ac.uk ABSTRACT A Delay Tolerant Network (DTN) provides content storage as a core network service across The Internet has transformed the way we seek information, but it requires strong connectivity with no tolerance are sparsely distributed so that networks are often partitioned due to geographical separation or node movement

  18. Critical Infrastructure Networks and Supernetworks: New Tools for Dynamics,

    E-Print Network [OSTI]

    Nagurney, Anna

    Critical Infrastructure Networks and Supernetworks: New Tools for Dynamics, Network Efficiency Variational Inequalities · A New Network Performance/Efficiency Measure with Applications to Critical, Communication, and Energy Networks #12;Components of Common Physical Networks Network System Nodes Links Flows

  19. Computer Systems and Network Manager

    E-Print Network [OSTI]

    Computer Systems and Network Manager Fort Collins, Colorado POSITION A Computers Systems activities. RESPONSIBILITIES The successful candidate will perform computer systems and network administration, including computer hardware, systems software, applications software, and all configurations

  20. Video transmission over wireless networks 

    E-Print Network [OSTI]

    Zhao, Shengjie

    2005-08-29T23:59:59.000Z

    Compressed video bitstream transmissions over wireless networks are addressed in this work. We first consider error control and power allocation for transmitting wireless video over CDMA networks in conjunction with multiuser detection. We map a...