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Sample records for development knowledge network

  1. Re-engineering knowledge networks for development

    E-Print Network [OSTI]

    Raghavan, Amrith, 1976-

    2004-01-01

    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 ...

  2. THE UK'S INNOVATION NETWORK KNOWLEDGE TRANSFER NETWORK

    E-Print Network [OSTI]

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

  3. WIKIPEDIA AS DOMAIN KNOWLEDGE NETWORKS: Domain Extraction and Statistical Measurement

    E-Print Network [OSTI]

    Liu, Benyuan

    networks on, respectively, mathematics, physics, biology, and chemistry. We compare the mathematics domain, has developed and evolved rapidly into the most comprehensive online encyclopedia. While people enjoy of the target knowledge network with a trusted knowledge source, such as paper-based encyclopedia. Restricted

  4. 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

  5. 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

  6. Organizing Global Knowledge Networks in the Electronics Industry

    E-Print Network [OSTI]

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

    2007-01-01

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

  7. 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

  8. Equivalence in Knowledge Representation: Automata, Recurrent Neural Networks,

    E-Print Network [OSTI]

    Giles, C. Lee

    Equivalence in Knowledge Representation: Automata, Recurrent Neural Networks, and Dynamical Fuzzy finite state automata (DFA) can be synthesized by or mapped into recurrent neural networks by directly programming the DFA structure into the weights of the neural network. Based on those results, a synthesis

  9. Academic Knowledge Transfer in Social Networks

    E-Print Network [OSTI]

    Slater, Mark David

    2013-01-01

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

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

    E-Print Network [OSTI]

    Zhang, Zhongfei "Mark"

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

  11. Process Transition Networks: A Formal Graphical Knowledge Representation Tool

    E-Print Network [OSTI]

    Process Transition Networks: A Formal Graphical Knowledge Representation Tool Jacek Malec \\Lambda@ida.liu.se Abstract A formal definition of Process Transition Networks (PTNs), recently introduced by Sande­ wall [San with Petri net theory. PTNs are first introduced informally, fol­ lowed by syntactic and semantic

  12. A model of dynamic rewiring and knowledge exchange in R&D networks

    E-Print Network [OSTI]

    Tomasello, Mario Vincenzo; Schweitzer, Frank

    2015-01-01

    This paper investigates the process of knowledge exchange in inter-firm Research and Development (R&D) alliances by means of an agent-based model. Extant research has pointed out that firms select alliance partners considering both network-related and network-unrelated features (e.g. social capital versus complementary knowledge stocks). In our agent-based model, firms are located in a metric knowledge space. The interaction rules incorporate an exploration phase and a knowledge transfer phase, during which firms search for a new partner and then evaluate whether they can establish a profitable alliance to mutually exchange their knowledge stocks. The model parameters determining the overall system properties are the rate at which alliances form and disappear and the agents' interaction radius. Next, we define a novel indicator of performance, based on the distance traveled by the firms in the knowledge space. Remarkably, we find that - depending on the alliance formation rate and the interaction radius -...

  13. Tempus Fugit: The Impact of Time in Knowledge Mobilization Networks

    E-Print Network [OSTI]

    Rad, Amir Afrasiabi; Gaudet, Joanne

    2015-01-01

    The temporal component of social networks is often neglected in their analysis, and statistical measures are typically performed on a "static" representation of the network. As a result, measures of importance (like betweenness centrality) cannot reveal any temporal role of the entities involved. Our goal is to start filling this limitation by proposing a form of temporal betweenness measure, and by using it to analyse a knowledge mobilization network. We show that this measure, which takes time explicitly into account, allows us to detect centrality roles that were completely hidden in the classical statistical analysis. In particular, we uncover nodes whose static centrality was considered negligible, but whose temporal role is instead important to accelerate mobilization flow in the network. We also observe the reverse behaviour by detecting nodes with high static centrality, whose role as temporal bridges is instead very low. By revealing important temporal roles, this study is a first step towards a bett...

  14. 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

  15. Quantifying knowledge exchange in R&D networks: a data-driven model

    E-Print Network [OSTI]

    Tomasello, Mario Vincenzo; Schweitzer, Frank

    2015-01-01

    We develop an agent-based model to reproduce the process of link formation and to understand the effect of knowledge exchange in collaborative inter-firm networks of Research and Development (R&D) alliances. In our model, agents form links based on their previous alliance history and then exchange knowledge with their partners, thus approaching in a knowledge space. We validate our model against real data using a two-step approach. Through an inter-firm alliance dataset, we estimate the model parameters related to the alliance formation, at the same time reproducing the topology of the resulting collaboration network. Subsequently, using a dataset on firm patents, we estimate the parameters related to the process of knowledge exchange. The underlying knowledge space that we consider in our study is defined by real patent classes, allowing for a precise quantification of every firm's knowledge position. We find that real R&D alliances have a duration of around two years, and that the subsequent knowled...

  16. 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

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

    E-Print Network [OSTI]

    Lawford, Mark

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

  18. Developing a knowledge base for the management of severe accidents

    SciTech Connect (OSTI)

    Nelson, W.R.; Jenkins, J.P.

    1986-01-01

    Prior to the accident at Three Mile Island, little attention was given to the development of procedures for the management of severe accidents, that is, accidents in which the reactor core is damaged. Since TMI, however, significant effort has been devoted to developing strategies for severe accident management. At the same time, the potential application of artificial intelligence techniques, particularly expert systems, to complex decision-making tasks such as accident diagnosis and response has received considerable attention. The need to develop strategies for accident management suggests that a computerized knowledge base such as used by an expert system could be developed to collect and organize knowledge for severe accident management. This paper suggests a general method which could be used to develop such a knowledge base, and how it could be used to enhance accident management capabilities.

  19. Essays on social networks in development economics

    E-Print Network [OSTI]

    Chandrasekhar, Arun Gautham

    2012-01-01

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

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

    E-Print Network [OSTI]

    Bussard, Grant William

    2013-05-17

    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...

  1. Abnormal event identification in nuclear power plants using a neural network and knowledge processing

    SciTech Connect (OSTI)

    Ohga, Yukiharu; Seki, Hiroshi (Hitachi, Ltd. Energy Research Lab., Ibarakiken (Japan))

    1993-02-01

    The combination of a neural network and knowledge processing have been used to identify abnormal events that cause a reactor to scram in a nuclear power plant. The neural network recognizes the abnormal event from the change pattern of analog data for state variables, and this result is confirmed from digital data using a knowledge base of plant status when each event occurs. The event identification method is tested using test data based on simulated results of a transient analysis program for boiling water reactors. It is confirmed that a neural network can identify an event in which it has been trained even when the plant conditions, such as fuel burnup, differ from those used in the training and when the analog data contain white noise. The network does not mistakenly identify the nontrained event as a trained one. The method is feasible for event identification, and knowledge processing improves the reliability of the identification.

  2. Representing Genomic Knowledge in the UMLS Semantic Network , Carol Friedman, Ph.D.2,1

    E-Print Network [OSTI]

    Yu, Hong

    Representing Genomic Knowledge in the UMLS Semantic Network Hong Yu1 , Carol Friedman, Ph.D.2 2 Department of Computer Science, Queens College CUNY 3 Center for Genomics Research, Columbia University 4 Yeshiva University Genomics research has a significant impact on the understanding and treatment

  3. A Knowledge Engineering Method for New Product Development

    E-Print Network [OSTI]

    Perry, Nicolas; 10.3166/jds.19.117-133

    2012-01-01

    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.

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

    E-Print Network [OSTI]

    Munger, Tyler Rey

    2012-01-01

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

  5. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar EnergyLawler,Coal Technologies Place:StandardsFinanceClimate

  6. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar EnergyLawler,Coal Technologies Place:StandardsFinanceClimate

  7. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePower Ventures Jump to: navigation, search Name:Climate ZoneUK Climate and

  8. A PLATFORM DEDICATED TO KNOWLEDGE ENGINEERING FOR THE DEVELOPMENT OF IMAGE PROCESSING APPLICATIONS

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A PLATFORM DEDICATED TO KNOWLEDGE ENGINEERING FOR THE DEVELOPMENT OF IMAGE PROCESSING APPLICATIONS.Revenu}@greyc.ensicaen.fr Keywords: Image processing, application formulation, knowledge engineering, ontology Abstract: In this paper, we propose a platform dedicated to the knowledge extraction and management for image pro- cessing

  9. Knowledge integration for problem solving in the development of complex aerospace systems

    E-Print Network [OSTI]

    Haddad, Marc George

    2008-01-01

    The development of complex products requires widespread knowledge interactions among a significant number of individuals and teams designing numerous interrelated components. Increasing product complexity typically leads ...

  10. Developing Knowledge-Based Systems using the Semantic Weba

    E-Print Network [OSTI]

    Sleeman, Derek

    process: for example, for a PSM to work with a particular domain ontology, mappings would be defined between the two: the mappings would allow the PSM to access and use the domain knowledge provided by the domain ontology during the PSM's execution. Despite considerable research focused on making

  11. A Delphi algorithm that integrates knowledge for expert system development 

    E-Print Network [OSTI]

    Layton, Terre Lou

    1989-01-01

    . The Delphi Manager was validated by using an existing knowledge base (KB) that was compiled by a paper and pencil version of the Delphi Technique. This existing KB was part of a dissertation by Randall F. Scott entitled "A Computer Programmer Productivity...

  12. Knowledge Management Initiatives in Offshore Software Development: Vendors' Perspectives

    E-Print Network [OSTI]

    . Based on lower per capita labour costs and available expertise in some countries, clients can benefit development tasks to other low cost countries. The Indian vendors are involved in software construction in the contemporary society. The primary motivation behind offshoring software development work for clients is cost

  13. Safety Lifecycle for Developing Safety Critical Artificial Neural Networks

    E-Print Network [OSTI]

    Kelly, Tim

    Safety Lifecycle for Developing Safety Critical Artificial Neural Networks Zeshan Kurd, Tim Kelly.kelly}@cs.york.ac.uk Abstract. Artificial neural networks are employed in many areas of industry such as medicine and defence. There are many techniques that aim to improve the performance of neural networks for safety-critical systems

  14. "Developing the technical and policy knowledge needed to reduce the

    E-Print Network [OSTI]

    Acton, Scott

    identified carbon sequestration or management as one of their top scientific priorities. We are approaching projects from VESTlab: Interfacial properties and leakage in geologic carbon sequestration (GCS) GCS the environmental implications of deploying carbon management at large scales. #12;RECENT RESEARCH DEVELOPMENTS · We

  15. Reshaping rural development through knowledge clusters : the case of Danville and Southside, Virginia

    E-Print Network [OSTI]

    Pierson, Andrew Stuart (Andrew Drew Stuart)

    2013-01-01

    This thesis examines challenges and implications associated with implementing knowledge-based economic development strategies in rural regions, focusing on the City of Danville in Southside Virginia. In 2000, Danville ...

  16. NEURObjects: an object-oriented library for neural network development

    E-Print Network [OSTI]

    Masulli, Francesco

    -Oriented (OO) program- ming (see, e.g., the libraries of the Timothy Masters's book [22]). Others needNEURObjects: an object-oriented library for neural network development Giorgio Valentini@disi.unige.it, masulli@disi.unige.it Abstract NEURObjects is a set of C++ library classes for neural network development

  17. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, MANUSCRIPT ID 1 Development of a Software Engineering

    E-Print Network [OSTI]

    Sommerville, Ian

    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, MANUSCRIPT ID 1 Development of a Software Engineering Ontology for Multi-site Software Development Pornpit Wongthongtham, Elizabeth Chang, Tharam Dillon and Ian Sommerville Abstract - This paper aims to present an ontology model of software engineering

  18. 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

  19. 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

    2014-01-01

    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 ...

  20. Bridge building : afterschool activities, youth social networks, and community development

    E-Print Network [OSTI]

    Forman, Benjamin

    2004-01-01

    In recent years, U.S. cities have dramatically increased funding for afterschool activities. These afterschool programs may contribute to community development by expanding social networks, providing new channels for the ...

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

    E-Print Network [OSTI]

    Hennemann, Stefan; Liefner, Ingo

    2011-01-01

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

  2. Networking and Information Technology Research and Development...

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

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

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

    SciTech Connect (OSTI)

    Shi, Cindy

    2015-07-17

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

  4. 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

  5. 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),...

  6. SOFTWARE DEVELOPER Mobile Knowledge Systems Inc. is looking for a talented software developer to join our team in Ottawa for the

    E-Print Network [OSTI]

    Dawson, Jeff W.

    SOFTWARE DEVELOPER Mobile Knowledge Systems Inc. is looking for a talented software developer the opportunity to contribute to the entire software development life cycle of our products. Duties: · Work with the development team and other corporate team members to obtain software requirements, define quality design

  7. Demonstrating the benefits of knowledge management assets : developing and applying a valuation methodology

    E-Print Network [OSTI]

    Taylor, Aaron B

    2006-01-01

    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 ...

  8. Some Recent Developments in Network Economics Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    and logistics companies, to telecommunication, energy, and power companies, which provide the foundations, network commerce and security, telecommu- nication networks, supply chain networks, transportation to new supply chains as well as new financial networks; 4. the realization of the importance of networks

  9. 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

  10. Development of a potential field estimator for a path-planning application using neural networks 

    E-Print Network [OSTI]

    Smith, Darin William

    1997-01-01

    This thesis presents the development of a potential field estimator for a locally constrained autonomous path-planning application. The potential field estimator was developed using back-propagation neural networks, which ...

  11. Development of Ensemble Neural Network Convection Parameterizations for Climate Models

    SciTech Connect (OSTI)

    Fox-Rabinovitz, M. S.; Krasnopolsky, V. M.

    2012-05-02

    The novel neural network (NN) approach has been formulated and used for development of a NN ensemble stochastic convection parametrization for climate models. This fast parametrization is built based on data from Cloud Resolving Model (CRM) simulations initialized with and forced by TOGA-COARE data. The SAM (System for Atmospheric Modeling), developed by D. Randall, M. Khairoutdinov, and their collaborators, has been used for CRM simulations. The observational data are also used for validation of model simulations. The SAM-simulated data have been averaged and projected onto the GCM space of atmospheric states to implicitly define a stochastic convection parametrization. This parametrization is emulated using an ensemble of NNs. An ensemble of NNs with different NN parameters has been trained and tested. The inherent uncertainty of the stochastic convection parametrization derived in such a way is estimated. Due to these inherent uncertainties, NN ensemble is used to constitute a stochastic NN convection parametrization. The developed NN convection parametrization have been validated in a diagnostic CAM (CAM-NN) run vs. the control CAM run. Actually, CAM inputs have been used, at every time step of the control/original CAM integration, for parallel calculations of the NN convection parametrization (CAM-NN) to produce its outputs as a diagnostic byproduct. Total precipitation (P) and cloudiness (CLD) time series, diurnal cycles, and P and CLD distributions for the large Tropical Pacific Ocean for the parallel CAM-NN and CAM runs show similarity and consistency with the NCEP reanalysis. The P and CLD distributions for the tropical area for the parallel runs have been analyzed first for the TOGA-COARE boreal winter season (November 1992 through February 1993) and then for the winter seasons of the follow-up parallel decadal simulations. The obtained results are encouraging and practically meaningful. They show the validity of the NN approach. This constitutes an important practical conclusion of the study: the obtained results on NN ensembles as a stochastic physics parametrization show a realistic possibility of development of NN convection parametrization for climate (and NWP) models based on learning cloud physics from CRM/SAM simulated data.

  12. Business development trends and analysis for the data networking market

    E-Print Network [OSTI]

    Patil, Devadas V

    2011-01-01

    The Internet has come a long way after the widely reported invention by Sandra Lerner and Leonard Bosack of the router, a device that can transmit data from one network to another based on certain protocols and principles. ...

  13. Development of a routing application with a heighted road network 

    E-Print Network [OSTI]

    Vasileiadis, Konstantinos

    2007-11-17

    According to Ordnance Survey (OS), the Integrated Transport Network (ITN) layer is the definitive, most accurate and up-to-date geographic reference for Great Britain’s road structure representing all navigable roads, from ...

  14. Design and development of a network architecture for a chemical sensor network

    E-Print Network [OSTI]

    Cheung, Jimmy

    2005-01-01

    A real-time continuous chemical sensor network can obtain detailed data to analyze the dynamic behavior of water systems such as a lake. The behaviors of interest to us in Upper Mystic Lake are the effects of stratification ...

  15. AUTONOMOUS UNDERSEA SYSTEMS NETWORK (AUSNET) Development Status Update

    E-Print Network [OSTI]

    be adopted by the AUV community to enable rapidly achievable and cost effective interoperability. AUSNET that exploits the data present in a mobile ad-hoc network to support the application in new ways. The Phase II capability in the CADCON environment. 4) Transition the AUSNET capability into a live Solar AUV. 5) Enable

  16. Development and implementation of an artificially intelligent search algorithm for sensor fault detection using neural networks 

    E-Print Network [OSTI]

    Singh, Harkirat

    2004-09-30

    This work is aimed towards the development of an artificially intelligent search algorithm used in conjunction with an Auto Associative Neural Network (AANN) to help locate and reconstruct faulty sensor inputs in control ...

  17. Development of constrained fuzzy logic for modeling biological regulatory networks and predicting contextual therapeutic effects

    E-Print Network [OSTI]

    Morris, Melody K

    2012-01-01

    Upon exposure to environmental cues, protein modifications form a complex signaling network that dictates cellular response. In this thesis, we develop methods for using continuous logic-based models to aide our understanding ...

  18. Development of software architecture for environmental monitoring using wireless sensor networks

    E-Print Network [OSTI]

    Hari, Piyush

    2006-01-01

    In this thesis, I describe the development of the software architecture for temperature monitoring using Wireless Sensor Networks (WSN). The goal of the software is to provide a means to remotely monitor and analyze ...

  19. The Development of a Synthesis Approach for Optimal Design of Seawater Reverse Osmosis Desalination Networks 

    E-Print Network [OSTI]

    Alnouri, Sabla

    2012-10-19

    on the developed representation, by accounting for detailed water quality information, within the SWRO desalination network optimization problem. The superstructures were modified to incorporate models that capture the performance of common membrane elements...

  20. Selective Development of Anticorrelated Networks in the Intrinsic Functional Organization of the Human Brain

    E-Print Network [OSTI]

    Ofen, Noa

    We examined the normal development of intrinsic functional connectivity of the default network (brain regions typically deactivated for attention-demanding tasks) as measured by resting-state fMRI in children, adolescents, ...

  1. Abstract--In this paper, we develop a joint Network Coding (NC)-channel coding error-resilient sensor-network approach

    E-Print Network [OSTI]

    Radha, Hayder

    D represents a major development of an underlying framework for designing Code-on-Network-Graph (CNG). CNG (and, and consequently translates check equations (used in linear algebraic LDPC codes) into in-network processing. INPoD/CNG of INPoD, basic CNG employs standard LDPC codes while assuming the underlying sensor network is capable

  2. 138 HumanWildlife Conflicts 1(2) The role of knowledge in developing

    E-Print Network [OSTI]

    fully when trying to become better at dealing with people. But, I believe the Ben C. West hogs if feral range from unapparent to fatal. Adult feral hogs that do recover from pseudorabies can develop latent conducting research on ways to control overpopulations of feral hogs, and researchers are looking

  3. TED: Technology and Economic Development International Conference on Innovation, Technology and Knowledge Economics

    E-Print Network [OSTI]

    Yanikoglu, Berrin

    for Industrial Management (TUSSIDE), 41401 Gebze, Kocaeli, Turkey 3 Gebze Institute of Technology, DepartmentTED: Technology and Economic Development 3rd International Conference on Innovation, Technology in Manufacturing Firms Gündüz Ulusoy1+ , Gürhan Günday2 , Kemal Kiliç1 and Lütfihak Alpkan3 1 Sabanci University

  4. Assessing Network Applications for Economic Development Sustainable Access in Rural India (SARI) Project

    E-Print Network [OSTI]

    Reif, Rafael

    ) Project Pilot Phase Assessment ­ Madurai District, Tamil Nadu, India Professor Michael Best Director, eDevelopmentAssessing Network Applications for Economic Development Sustainable Access in Rural India (SARI for International Development, Harvard University Submitted to: Prepared By: Sinan Aral Marcela Escobari Randal

  5. Development of a photovoltaic power supply for wireless sensor networks.

    SciTech Connect (OSTI)

    Harvey, Matthew R.; Kyker, Ronald D.

    2005-06-01

    This report examines the design process of a photovoltaic (solar) based power supply for wireless sensor networks. Such a system stores the energy produced by an array of photovoltaic cells in a secondary (rechargeable) battery that in turn provides power to the individual node of the sensor network. The goal of such a power supply is to enable a wireless sensor network to have an autonomous operation on the order of years. Ideally, such a system is as small as possible physically while transferring the maximum amount of available solar energy to the load (the node). Within this report, there is first an overview of current solar and battery technologies, including characteristics of different technologies and their impact on overall system design. Second is a general discussion of modeling, predicting, and analyzing the extended operation of a small photovoltaic power supply and setting design parameters. This is followed by results and conclusions from the testing of a few basic systems. Lastly, some advanced concepts that may be considered in order to optimize future systems will be discussed.

  6. 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

  7. 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

  8. Developing Knowledge States: Technology and the Enhancement of National Statistical Capacity

    E-Print Network [OSTI]

    Anderson, Derrick M

    2015-01-01

    National statistical systems are the enterprises tasked with collecting, validating and reporting societal attributes. These data serve many purposes - they allow governments to improve services, economic actors to traverse markets, and academics to assess social theories. National statistical systems vary in quality, especially in developing countries. This study examines determinants of national statistical capacity in developing countries, focusing on the impact of general purpose technologies (GPTs). Just as technological progress helps to explain differences in economic growth, states with markets with greater technological attainment (specifically, general purpose technologies) arguably have greater capacity for gathering and processing quality data. Analysis using panel methods shows a strong, statistically significant positive linear relationship between GPTs and national statistical capacity. There is no evidence to support a non-linear function in this relationship. Which is to say, there does not a...

  9. Development of a general method for obtaining the geometry of microfluidic networks

    SciTech Connect (OSTI)

    Razavi, Mohammad Sayed Salimpour, M. R.; Shirani, Ebrahim

    2014-01-15

    In the present study, a general method for geometry of fluidic networks is developed with emphasis on pressure-driven flows in the microfluidic applications. The design method is based on general features of network's geometry such as cross-sectional area and length of channels. Also, the method is applicable to various cross-sectional shapes such as circular, rectangular, triangular, and trapezoidal cross sections. Using constructal theory, the flow resistance, energy loss and performance of the network are optimized. Also, by this method, practical design strategies for the fabrication of microfluidic networks can be improved. The design method enables rapid prediction of fluid flow in the complex network of channels and is very useful for improving proper miniaturization and integration of microfluidic networks. Minimization of flow resistance of the network of channels leads to universal constants for consecutive cross-sectional areas and lengths. For a Y-shaped network, the optimal ratios of consecutive cross-section areas (A{sub i+1}/A{sub i}) and lengths (L{sub i+1}/L{sub i}) are obtained as A{sub i+1}/A{sub i} = 2{sup ?2/3} and L{sub i+1}/L{sub i} = 2{sup ?1/3}, respectively. It is shown that energy loss in the network is proportional to the volume of network. It is also seen when the number of channels is increased both the hydraulic resistance and the volume occupied by the network are increased in a similar manner. Furthermore, the method offers that fabrication of multi-depth and multi-width microchannels should be considered as an integral part of designing procedures. Finally, numerical simulations for the fluid flow in the network have been performed and results show very good agreement with analytic results.

  10. Development of distinct control networks through segregation and integration

    E-Print Network [OSTI]

    it is constructed in development'' and ``how development can go awry.'' The following report uses resting state parietal lob- ule (IPL), precuneus, dorsal frontal (dF), and midcingulate (6) [see supporting information

  11. Projects To Develop Novel Monitoring Networks for Advanced Power...

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

    novel approaches in model development and validation; monitoring refractory health; and wireless, self-powered sensors for advanced, next-generation power systems. They will...

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

    E-Print Network [OSTI]

    Yost, Keith A

    2009-01-01

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

  13. That's the Thing with Community: Social Networks and Asset Development

    E-Print Network [OSTI]

    Wheeler-Brooks, Jennifer

    2009-12-08

    if their assets, under these three measures, are insufficient to meet basic needs for three months in the absence of income. Caner and Wolff (2004) estimated that in 1999 (the most recent data available) the asset poverty threshold for a family of four... as wealth and privilege are developed, maintained, and strengthened over generations, asset poverty becomes entrenched over generations, deepening and solidifying inequalities (Caner & Wolff, 2004; Oliver & Shapiro, 1997). In the American social welfare...

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

    E-Print Network [OSTI]

    Nagurney, Anna

    International Conference on Knowledge, Culture and Change in Organisations, University of Greenwich, London #12;· Internet · Transportation/logistical networks · Other telecommunication networks · Energy Era #12;Network System Nodes Links Flows Transportation Urban Intersections, Roads Autos Homes, Places

  15. A Roadmap for Hardware and Software Support for Developing Energy-Efficient Sensor Networks

    E-Print Network [OSTI]

    Turau, Volker

    A Roadmap for Hardware and Software Support for Developing Energy-Efficient Sensor Networks. In this paper a roadmap of a combined hardware and software approach is presented. The main idea is to collect is important for debugging and evaluation purposes. In this paper a roadmap of our combined hardware

  16. Strategic Planning, Design and Development of the Shale Gas Supply Chain Network

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Strategic Planning, Design and Development of the Shale Gas Supply Chain Network Diego C. Cafaro1-term planning of the shale gas supply chain is a relevant problem that has not been addressed before Shale gas, supply chain, strategic planning, MINLP, solution algorithm * Corresponding author. Tel.: +1

  17. The Seven Cs Ethical Model of Communication: Environmental Communication and Indigenous Knowledge Management Strategies in International Agricultural Development 

    E-Print Network [OSTI]

    McCann, Elisabeth

    2012-10-19

    and practices. A theoretical framework is formulated, with the principles of environmental communication as a foundation. Special emphasis is placed upon knowledge management strategies utilized when working with indigenous populations. From these theoretical...

  18. Indirect Learning: How Emerging- Market Firms Grow in Developed Markets

    E-Print Network [OSTI]

    Banerjee, Sourindra; Prabhu, Jaideep C.; Chandy, Rajesh K.

    2015-01-01

    failure as firms plan and execute their own growth in developed markets (Elango and Patnaik 2007). For example, firms can learn how to leverage the existing relationships of network members to gain knowledge about developed-market customers and suppliers...

  19. TVRSJ Vol.7 No.4, 2002 RCML 2.0: Development of a Networked Telerobotic System

    E-Print Network [OSTI]

    Tachi, Susumu

    [12] · · · PC PDA RCML 2.0 2 3. 2 RCML 2.0 CGI [13] Java [14] [15] [16] CGI Web Web #12;: RCML 2.0 RCML 2.0 RCML 2.0 RCML 2.0 RCTP/2.0 SDRM RXID RCML Extensible Interface Definition 2.0 RCML 2.0 GUI 4TVRSJ Vol.7 No.4, 2002 RCML 2.0: 1 1 1 RCML 2.0: Development of a Networked Telerobotic System

  20. 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

  1. Knowledge Sharing Technology Stanford University KnowledgeSharingTechnology

    E-Print Network [OSTI]

    Pratt, Vaughan

    knowledge base to be constructed from scratch. As a result, most systems remain small to medium in size . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .15 3.2. Ontolingua: An Ontology Development Environment. Although tools have been developed to help with knowledge acquisition, knowledge base construction remains

  2. DEVELOPMENT OF A SENSOR NETWORK TEST BED FOR ISD MATERIALS AND STRUCUTRAL CONDITION MONITORING

    SciTech Connect (OSTI)

    Zeigler, K.; Ferguson, B.; Karapatakis, D.; Herbst, C.; Stripling, C.

    2011-07-06

    The P Reactor at the Savannah River Site is one of the first reactor facilities in the US DOE complex that has been placed in its end state through in situ decommissioning (ISD). The ISD end state consists of a grout-filled concrete civil structure within the concrete frame of the original building. To evaluate the feasibility and utility of remote sensors to provide verification of ISD system conditions and performance characteristics, an ISD Sensor Network Test Bed has been designed and deployed at the Savannah River National Laboratory. The test bed addresses the DOE-EM Technology Need to develop a remote monitoring system to determine and verify ISD system performance. Commercial off-the-shelf sensors have been installed on concrete blocks taken from walls of the P Reactor Building. Deployment of this low-cost structural monitoring system provides hands-on experience with sensor networks. The initial sensor system consists of: (1) Groutable thermistors for temperature and moisture monitoring; (2) Strain gauges for crack growth monitoring; (3) Tiltmeters for settlement monitoring; and (4) A communication system for data collection. Preliminary baseline data and lessons learned from system design and installation and initial field testing will be utilized for future ISD sensor network development and deployment.

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

    E-Print Network [OSTI]

    Miranda, Eduardo Reck

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

  4. Development of a dynamic network monitoring tool – Interactive map based on LLDP and SNMP

    E-Print Network [OSTI]

    Haen, Christophe; Mesnard, E

    2010-01-01

    The European Organization for Nuclear Research (French: Organisation Européenne pour la Recherche Nucléaire), known as CERN is the world’s largest particle physics laboratory, established in 1954 near Geneva. CERN’s main function is to provide the particle accelerators and other infrastructure needed for high-energy physics research. The LHCb (standing for “Large Hadron Collider beauty”) experiment is one of six particle physics detector experiments built on the Large Hadron Collider, the world’s largest and highest-energy particle accelerator. This experiment produces a large amount of data which needs to be treated. This task is processed by some 2000 computing servers and 400 control servers. The LHCb Online team is responsible of the data, from their creation in the detector, till the storage. The purpose of my internship was to develop a software from scratch able to dynamically discover the network, draw a map of it, gather information of the network equipments, and implement basic monitorin...

  5. Decoding the Regulatory Network for Blood Development from Single-Cell Gene Expression Measurements

    E-Print Network [OSTI]

    Moignard, Victoria; Woodhouse, Steven; Haghverdi, Laleh; Lilly, Andrew J.; Tanaka, Yosuke; Wilkinson, Adam C.; Buettner, Florian; Macaulay, Iain C.; Jawaid, Wajid; Diamanti, Evangelia; Nishikawa, Shin-Ichi; Piterman, Nir; Kouskoff, Valerie; Theis, Fabian J.; Fisher, Jasmin; Göttgens, Berthold

    2015-02-09

    of the regulatory interactions proposed in our model may be direct upstream regulator/ downstream target gene relationships. To provide further validation, we focused on Erg, which our models predicted is activated by Sox17, or by Hoxb4 in combination with Lyl1... not specify which gene is the upstream regulator and which is the downstream target, and therefore do not reveal mechanistic logic. To our knowledge no previous study has analyzed the development of an entire mammalian organ at single-cell resolution. Here...

  6. International Conference on Human Resource Development for Nuclear Power Programmes: Strategies for Education and Training, Networking and Knowledge Management

    SciTech Connect (OSTI)

    Pepper, Susan E.; Bachner, Katherine M.

    2014-06-24

    The report includes a summary of the overall workshop results and also copies of the two papers and interactive presentations given by BNL staff at the meeting. The two presentations were titled ''The value of the Junior Professional Officer (JPO) program to the IAEA and its Member States'' and ''Promoting intercultural competencies''.

  7. Are Arti cial Neural Networks White Boxes? Eyal Kolman and Michael Margaliot y

    E-Print Network [OSTI]

    Margaliot, Michael

    networks, knowledge-based networks, rule ex- traction, rule generation, rule re#12;nement. #3; This work compute membership function values, whereas nodes in the second layer perform T-norm operations. Jang a similar equivalence to develop a transformation of a feedforward neural network with Logistic activation

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

    E-Print Network [OSTI]

    Miranda, Eduardo Reck

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

  9. Securing against fraud in mobile communications : system design and development in 3G mobile networks

    E-Print Network [OSTI]

    Mochizuki, Yujiro, 1973-

    2006-01-01

    Network security ensures the consistency, integrity, and reliability of telecommunications systems. Authorized network access prevents fraudulent communications and maintains the availability of the systems. However, limited ...

  10. Active Knowledge

    E-Print Network [OSTI]

    Freuder, Eugene C.

    A progress report on the work described in Vision Flashes 33 and 43 on recognition of real objects. Emphasis is on the "active" use of knowledge in directing the flow of visual processing.

  11. Network

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

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

  12. The confluence of digital design/fabrication and biological principles : systematic knowledge transfer for the development of integrated architectural systems

    E-Print Network [OSTI]

    Sharif, Shani

    2010-01-01

    In the last century, many of the developed computational theories and methods have been inspired by biological principles. The design generation methods, originating from these theories, along with the advances in digital ...

  13. 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

  14. 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.

  15. 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.

  16. 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.

  17. Development of a compressor model for gas network simulation Supervisor: Johan Romate (Shell/TUD)

    E-Print Network [OSTI]

    Vuik, Kees

    /TUD) Problem background Oil and gas flowing out of a reservoir enter a production network of pipelines flow is modelled in network simulators. The flow through these network elements can be modelled.g. algebraic pressure drop models for simple approximations, or the one-dimensional Euler equations

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

    E-Print Network [OSTI]

    Miranda, Eduardo Reck

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

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

    E-Print Network [OSTI]

    Miranda, Eduardo Reck

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

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

    E-Print Network [OSTI]

    Miranda, Eduardo Reck

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

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

    SciTech Connect (OSTI)

    Ondrej Linda; Todd Vollmer; Milos Manic

    2012-08-01

    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.

  2. 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

  3. Sensor networks for social networks

    E-Print Network [OSTI]

    Farry, Michael P. (Michael Patrick)

    2006-01-01

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

  4. Bayesian Belief Network (BBN)-based advisory system development for steam generator replacement project management

    E-Print Network [OSTI]

    Kim, Dohyoung, 1970-

    2002-01-01

    The growing need for improved project management technique points to the usefulness of a knowledge-base advisory system to help project managers understand current and future project status and optimize decisions based ...

  5. Bioenergy Knowledge Discovery Framework (KDF) Fact Sheet

    SciTech Connect (OSTI)

    2013-07-29

    The Bioenergy Knowledge Discovery Framework (KDF) is an online collaboration and geospatial analysis tool that allows researchers, policymakers, and investors to explore and engage the latest bioenergy research. This publication describes how the KDF harnesses Web 2.0 and social networking technologies to build a collective knowledge system that facilitates collaborative production, integration, and analysis of bioenergy-related information.

  6. Development of analytic intermodal freight networks for use within a GIS

    SciTech Connect (OSTI)

    Southworth, F.; Xiong, D.; Middendorf, D.

    1997-05-01

    The paper discusses the practical issues involved in constructing intermodal freight networks that can be used within GIS platforms to support inter-regional freight routing and subsequent (for example, commodity flow) analysis. The procedures described can be used to create freight-routable and traffic flowable interstate and intermodal networks using some combination of highway, rail, water and air freight transportation. Keys to realistic freight routing are the identification of intermodal transfer locations and associated terminal functions, a proper handling of carrier-owned and operated sub-networks within each of the primary modes of transport, and the ability to model the types of carrier services being offered.

  7. International Assistance for Low-Emission Development Planning: Coordinated Low Emissions Assistance Network (CLEAN) Inventory of Activities and Tools--Preliminary Trends

    SciTech Connect (OSTI)

    Cox, S.; Benioff, R.

    2011-05-01

    The Coordinated Low Emissions Assistance Network (CLEAN) is a voluntary network of international practitioners supporting low-emission planning in developing countries. The network seeks to improve quality of support through sharing project information, tools, best practices and lessons, and by fostering harmonized assistance. CLEAN has developed an inventory to track and analyze international technical support and tools for low-carbon planning activities in developing countries. This paper presents a preliminary analysis of the inventory to help identify trends in assistance activities and tools available to support developing countries with low-emission planning.

  8. 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

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

    E-Print Network [OSTI]

    Chan, Anita Say

    2008-01-01

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

  10. Growth connectomics: the organization and re-organization of brain networks during normal and abnormal development

    E-Print Network [OSTI]

    Vértes, Petra E.; Bullmore, Edward T.

    2014-12-01

    ). This small-world architecture was originally described in the context of the collaboration graph of film actors, the power grid of the western United States, and the neuronal network of the nematode worm Caenorhabditis elegans (Watts & Strogatz, 1998...

  11. Analysis of global airline alliances as a strategy for international network development

    E-Print Network [OSTI]

    Tugores-García, Antonio, S.M. Massachusetts Institute of Technology

    2012-01-01

    Since the late 1990s, network airlines worldwide have being enrolling in one of the three current Global Airline Alliances (GALs), oneworld, Star Alliance and SkyTeam. By 2011, airlines belonging to the three GALs transported ...

  12. Development and Flight Testing of a Wireless Avionics Network Based on the IEEE 802.11 Protocols

    E-Print Network [OSTI]

    Chilakala, Satish Kumar

    2008-03-18

    Fi and ZigBee Channels in the 2.4 GHz Frequency Band ..................................................................................................................................... 65 Figure 4.22: XBee Pro Development Board????????????????65 Figure 4....23: Test Setup of ZigBee Modems on an Airframe??????????.66 Figure 4.24: Test Setup of the ZigBee Based Wireless GPS Communications.......... 68 Figure 5.1: Schematic of the Two Node Wireless Avionics Network........................ 70 Figure 5.2: CPR...

  13. Metabolic network reconstruction and flux variability analysis of storage synthesis in developing oilseed rape (Brassica napus L.) embryos

    SciTech Connect (OSTI)

    Hay, J.; Schwender, J.

    2011-08-01

    Computational simulation of large-scale biochemical networks can be used to analyze and predict the metabolic behavior of an organism, such as a developing seed. Based on the biochemical literature, pathways databases and decision rules defining reaction directionality we reconstructed bna572, a stoichiometric metabolic network model representing Brassica napus seed storage metabolism. In the highly compartmentalized network about 25% of the 572 reactions are transport reactions interconnecting nine subcellular compartments and the environment. According to known physiological capabilities of developing B. napus embryos, four nutritional conditions were defined to simulate heterotrophy or photoheterotrophy, each in combination with the availability of inorganic nitrogen (ammonia, nitrate) or amino acids as nitrogen sources. Based on mathematical linear optimization the optimal solution space was comprehensively explored by flux variability analysis, thereby identifying for each reaction the range of flux values allowable under optimality. The range and variability of flux values was then categorized into flux variability types. Across the four nutritional conditions, approximately 13% of the reactions have variable flux values and 10-11% are substitutable (can be inactive), both indicating metabolic redundancy given, for example, by isoenzymes, subcellular compartmentalization or the presence of alternative pathways. About one-third of the reactions are never used and are associated with pathways that are suboptimal for storage synthesis. Fifty-seven reactions change flux variability type among the different nutritional conditions, indicating their function in metabolic adjustments. This predictive modeling framework allows analysis and quantitative exploration of storage metabolism of a developing B. napus oilseed.

  14. Better Knowledge Management Through Knowledge Engineering

    E-Print Network [OSTI]

    Preece, Alun

    Better Knowledge Management Through Knowledge Engineering: A Case Study in Drilling Optimisation management by a drilling optimisation group within a large service company. The three facets of the knowledge be built using conventional database software, special-purpose case-based reasoning or knowledge

  15. 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...

  16. Visualizing criminal networks reconstructed from mobile phone records

    E-Print Network [OSTI]

    Ferrara, Emilio; Catanese, Salvatore; Fiumara, Giacomo

    2014-01-01

    In the fight against the racketeering and terrorism, knowledge about the structure and the organization of criminal networks is of fundamental importance for both the investigations and the development of efficient strategies to prevent and restrain crimes. Intelligence agencies exploit information obtained from the analysis of large amounts of heterogeneous data deriving from various informative sources including the records of phone traffic, the social networks, surveillance data, interview data, experiential police data, and police intelligence files, to acquire knowledge about criminal networks and initiate accurate and destabilizing actions. In this context, visual representation techniques coordinate the exploration of the structure of the network together with the metrics of social network analysis. Nevertheless, the utility of visualization tools may become limited when the dimension and the complexity of the system under analysis grow beyond certain terms. In this paper we show how we employ some int...

  17. Development and function of human cerebral cortex neural networks from pluripotent stem cells in vitro

    E-Print Network [OSTI]

    Kirwan, Peter; Turner-Bridger, Benita; Peter, Manuel; Momoh, Ayiba; Arambepola, Devika; Robinson, Hugh P.C.; Livesey, Frederick J.

    2015-07-30

    ., 2012). Computational modelling of connectivity in the cortex suggests that networks adhere to a scale-free topology, which include small numbers of hyper-connected hub-like nodes, and a large number of neurons with few connections (Eguiluz et al., 2005... contribute to the observed network properties. Using rabies virus-based trans-synaptic tracing (Wickersham et al., 2007), we found that the majority of cortical neurons in this system receive inputs from fewer than 10 neurons, with a small minority receiving...

  18. Natural Gas Compressor Stations on the Interstate Pipeline Network: Developments Since 1996

    Reports and Publications (EIA)

    2007-01-01

    This special report looks at the use of natural gas pipeline compressor stations on the interstate natural gas pipeline network that serves the lower 48 states. It examines the compression facilities added over the past 10 years and how the expansions have supported pipeline capacity growth intended to meet the increasing demand for natural gas.

  19. Adopting a Social Network Perspective in Global Software Development Christina Manteli

    E-Print Network [OSTI]

    van Vliet, Hans

    the actual collaboration, as opposed to the one from the organization charts. In the following section, we be used to reveal collabora- tion patterns that go beyond the organizational charts and the project]. In previous research, social network analysis has been used to help organizations reveal hidden issues among

  20. 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

  1. Introduction to Knowledge Compilation

    E-Print Network [OSTI]

    Huang, Jinbo

    Introduction to Knowledge Compilation Jinbo Huang NICTA and Australian National University (based in part on Adnan Darwiche's tutorial) Jinbo Huang Introduction to Knowledge Compilation #12;Propositional Huang Introduction to Knowledge Compilation #12;Truth of Sentences Burglary Earthquake Alarm 1

  2. The effect of imports on export development : a network analytical view of international trade in music

    E-Print Network [OSTI]

    Chu-Shore, Jesse Conan

    2010-01-01

    What are the effects of imports on export development? Would low influence from imports provide more opportunity to local producers to develop radically new products that could later be exported as a uniquely local ...

  3. An assessment of university instructors' and their pre-service teachers' knowledge of basic language constructs before and after university instructor professional development 

    E-Print Network [OSTI]

    Binks, Emily Suzanne

    2008-10-10

    : ! Terminology: The majority of tested subjects could not accurately define or discriminate between related terms, such as inflection, derivation, compound, affixed, phonetics, phonology, phonics, phonological awareness, speech sound, and phoneme. ! Phonic... in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY May 2008 Major Subject: Curriculum and Instruction AN ASSESSMENT OF UNIVERSITY INSTRUCTORS AND THEIR PRE-SERVICE TEACHERS’ KNOWLEDGE OF BASIC LANGUAGE...

  4. The Cornell Center for a Sustainable Future (CCSF) represents a bold commitment to develop and deploy knowledge to address some of society's most complex and press-

    E-Print Network [OSTI]

    Walter, M.Todd

    , develop, and deliver high-impact innova- tions through sustainability science. We also convene#12;The Cornell Center for a Sustainable Future (CCSF) represents a bold commitment to develop Compliance and Sustainability; Cornell International Institute for Food, Agriculture, and Development

  5. Bayesian Networks and Geographical Information Systems for Environmental Risk Assessment for Oil and Gas Site Development 

    E-Print Network [OSTI]

    Varela Gonzalez, Patricia Ysolda

    2013-04-03

    of the Environmental Sensibility of Oil and Gas (O&G) developments for a given study area. A Risk index associated with the development of O&G operation activities based on the spatial environmental sensibility was also mapped. To facilitate the Risk assessment...

  6. Knowledge Exchange and Technology Extension SFM Network

    E-Print Network [OSTI]

    . · Tradable carbon credits related to timber production and forestry operations are calculated by identifying trading initiatives, carbon sequestration is becoming a potential revenue source and an objective ), methane (CH4 ) and nitrous oxide (N2 O). Assessing the carbon balance for Canada's managed forests

  7. Academic Knowledge Transfer in Social Networks

    E-Print Network [OSTI]

    Slater, Mark David

    2013-01-01

    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,

  8. 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

    2011-10-01

    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.

  9. Dissecting spatio-temporal protein networks driving human heart development and related disorders

    E-Print Network [OSTI]

    Lage, Kasper

    Aberrant organ development is associated with a wide spectrum of disorders, from schizophrenia to congenital heart disease, but systems-level insight into the underlying processes is very limited. Using heart morphogenesis ...

  10. Synthesis and Design Strategies for the Development of Macroscopic Interplant Water Networks in Industrial Zones 

    E-Print Network [OSTI]

    Alnouri, Sabla

    2015-07-14

    and wastewater management is a key research priority. As a result, several necessary aspects that have not been addressed previously in water integration methods have been considered in this work, by developing and implementing a framework which allows...

  11. A unique gene regulatory network resets the human germline epigenome for development

    E-Print Network [OSTI]

    Tang, Walfred W. C.; Dietmann, Sabine; Irie, Naoko; Leitch, Harry G.; Floros, Vasileios I.; Bradshaw, Charles R.; Hackett, Jamie A.; Chinnery, Patrick F.; Surani, M. Azim

    2015-06-04

    in neural development (Figure S7C). Comparison of the escapee genes with the NHGRI GWAS catalog revealed characteristic trait and disease associations, such as “obesity-related traits”, “Schizophrenia” and “Multiple sclerosis” (Figure 7C). Notably, some...

  12. System development technical interactions and innovation : a network-based investigation

    E-Print Network [OSTI]

    Makumbe, Pedzisayi O

    2006-01-01

    The development of complex engineering systems such as aircraft engines involves many cross functional teams that are usually geographically distributed. These teams interact in several ways but one of the most important ...

  13. Development of a Remote Monitoring Sensor Network for In-Situ Decommissioned Structures

    Office of Energy Efficiency and Renewable Energy (EERE)

    On October 19-22, 2010, an independent expert panel of scientists and engineers met to assist the Department of Energy (DOE) and the Savannah River National Laboratory in developing a technical...

  14. Network analysis of technical and organizational configurations : using an alignment approach to enhance product development performance

    E-Print Network [OSTI]

    Diaz Garcia, J. Adrian

    2009-01-01

    In an attempt to improve their Product Development Processes (PDPs), many companies make considerable investments to have available cutting-edge technology such as virtual tools. While some companies have increased their ...

  15. 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.

  16. City Knowledge Patterns: A Standard for Smart City Knowledge Management

    E-Print Network [OSTI]

    Fox, Mark S.

    City Knowledge Patterns: A Standard for Smart City Knowledge Management by Nooshin Allahyari Allahyar #12;! ! ! ! ii! ! City Knowledge Patterns: A Standard for Smart City Knowledge Management Nooshin......................................................................................................... 21 ! 3 City Knowledge Pattern

  17. Learning Retrieval Knowledge from Data Helge Langseth

    E-Print Network [OSTI]

    Langseth, Helge

    of petroleum engineering ­ more specifically oil well drilling - in cooperation with the Norwegian oil company are linked within a semantic network of more general domain knowledge. In this paper we present a way Saga. Some initial results are described in this paper. The motivation for the work reported here

  18. Efficient network camouflaging in wireless networks 

    E-Print Network [OSTI]

    Jiang, Shu

    2006-04-12

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

  19. Knowledge representations for sensemaking

    E-Print Network [OSTI]

    Nguyen, Hong-Linh Q

    2012-01-01

    I discuss the lessons learned during the design and implementation of three knowledge representations systems for sensemaking. The focus is on the tension that exists between a knowledge representation's role as a surrogate ...

  20. Network Management Network Management

    E-Print Network [OSTI]

    Giaccone, Paolo

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

  1. IGENPRO knowledge-based operator support system.

    SciTech Connect (OSTI)

    Morman, J. A.

    1998-07-01

    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.

  2. 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

  3. Supercomputing | Knowledge Discovery | ORNL

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

    Sensor Networks Visual Analytics Risk Analysis Materials Mathematics National Security Systems Modeling Engineering Analysis Behavioral Sciences Geographic Information Science...

  4. The implementation of the triple helix model of industry-university-government relations in Puerto Rico to promote knowledge-based regional economic development

    E-Print Network [OSTI]

    Ramos-Maltés, Ana Lorena

    2010-01-01

    Puerto Rico, an island in the Caribbean, has long sought to develop a high-tech economy and has struggled in the process. Two initiatives, Puerto Rico TechnoEconomic Corridor (PRTEC) and the Eastern Central Technological ...

  5. Review: Knowledge and Environmental Policy

    E-Print Network [OSTI]

    Little, Peter C.

    2012-01-01

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

  6. The Program for Climate Model Diagnosis and Intercomparison (PCMDI) Software Development: Applications, Infrastructure, and Middleware/Networks

    SciTech Connect (OSTI)

    Williams, Dean N.

    2011-06-30

    The status of and future plans for the Program for Climate Model Diagnosis and Intercomparison (PCMDI) hinge on software that PCMDI is either currently distributing or plans to distribute to the climate community in the near future. These software products include standard conventions, national and international federated infrastructures, and community analysis and visualization tools. This report also mentions other secondary software not necessarily led by or developed at PCMDI to provide a complete picture of the overarching applications, infrastructures, and middleware/networks. Much of the software described anticipates the use of future technologies envisioned over the span of next year to 10 years. These technologies, together with the software, will be the catalyst required to address extreme-scale data warehousing, scalability issues, and service-level requirements for a diverse set of well-known projects essential for predicting climate change. These tools, unlike the previous static analysis tools of the past, will support the co-existence of many users in a productive, shared virtual environment. This advanced technological world driven by extreme-scale computing and the data it generates will increase scientists’ productivity, exploit national and international relationships, and push research to new levels of understanding.

  7. 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 natural environment and natural resources. Without science we will not be able to preserve our natural

  8. Recording Scientific Knowledge

    SciTech Connect (OSTI)

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

    2006-01-09

    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.

  9. Knowledge Framework Implementation with Multiple Architectures - 13090

    SciTech Connect (OSTI)

    Upadhyay, H.; Lagos, L.; Quintero, W.; Shoffner, P.; DeGregory, J.

    2013-07-01

    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)

  10. Using Neural Networks 

    E-Print Network [OSTI]

    Gabel, S.

    2003-01-01

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

  11. International Experiences and Frameworks to Support Country-Driven Low-Emissions Development

    SciTech Connect (OSTI)

    Benioff, R.; Cochran, J.; Cox, S.

    2012-08-01

    Countries can use low-emission development strategies (LEDS) to advance sustainable development, promote private-sector growth, and reduce greenhouse gas emissions. This paper proposes a framework -- or support infrastructure -- to enable the efficient exchange of LEDS-related knowledge and technical assistance. Under the proposed framework, countries share LEDS-related resources via coordinating forums, 'knowledge platforms,' and networks of experts and investors. The virtual 'knowledge platforms' foster learning by allowing countries to communicate with each other and share technical reports, data, and analysis tools in support of LEDS development. Investing in all elements of the framework in an integrated fashion increases the efficacy of support for country-driven LEDS.

  12. Energy efficient strategies for wireless sensor networks with varying connectivity properties

    E-Print Network [OSTI]

    Kam, Clement

    2010-01-01

    network, such as swarming UAV systems. The transmissiondense, small-scale swarming UAV network. To our knowledge,such scenarios. Taking our UAV application as an example, a

  13. Research Network Product Development

    E-Print Network [OSTI]

    Berlin,Technische Universität

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

  14. PILOT'S HANDBOOK Aeronautical Knowledge

    E-Print Network [OSTI]

    #12;PILOT'S HANDBOOK of Aeronautical Knowledge 2003 U.S. DEPARTMENT OF TRANSPORTATION FEDERAL Matter.qxd 10/28/03 6:13 AM Page ii #12;iii PREFACE The Pilot's Handbook of Aeronautical Knowledge certification are presented. This handbook is useful to beginning pilots, as well as those pursuing more

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

    E-Print Network [OSTI]

    Maurer, Daphne M.

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

  16. On Combining Duty-cycling with Network Coding in Flood-based Sensor Networks 

    E-Print Network [OSTI]

    Chandanala, Roja Ramani

    2012-02-14

    Network coding and duty-cycling are two popular techniques for saving energy in wireless sensor networks. To the best of our knowledge, the idea to combine these two techniques, for even more aggressive energy savings, ...

  17. Development and operativity of a real-time radiological monitoring network centered on the nuclear power plant of Almaraz (Spain)

    SciTech Connect (OSTI)

    Baeza, A.; Miro, C.; Puerto, J.A. del; Rio, M. del; Ortiz, F.; Paniagua, J.M.

    1993-12-01

    This work presents the hardware and software characteristics of the environmental surveillance radiological network that has been installed around the nuclear power station of Almaraz (Spain). A description is given of the program RADLINE which allows radiological data to be logged in real time, and a study is made of the operativity of the network and the methodology followed in establishing the radiological pre-alert and alert levels.

  18. Seven Deadliest Network Attacks

    SciTech Connect (OSTI)

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

    2010-05-01

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

  19. Network Management Network Management

    E-Print Network [OSTI]

    Giaccone, Paolo

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

  20. Knowledge-based control 

    E-Print Network [OSTI]

    Painter, John H.

    1992-03-17

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

    ScienceCinema (OSTI)

    Danuso, Francesco [University of Udine, Italy

    2010-01-08

    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.

  2. Mathematically Reduced Chemical Reaction Mechanism Using Neural Networks

    SciTech Connect (OSTI)

    Nelson Butuk

    2004-12-01

    This is an annual technical report for the work done over the last year (period ending 9/30/2004) on the project titled ''Mathematically Reduced Chemical Reaction Mechanism Using Neural Networks''. The aim of the project is to develop an efficient chemistry model for combustion simulations. The reduced chemistry model will be developed mathematically without the need of having extensive knowledge of the chemistry involved. To aid in the development of the model, Neural Networks (NN) will be used via a new network topology know as Non-linear Principal Components Analysis (NPCA). We report on the development of a procedure to speed up the training of NPCA. The developed procedure is based on the non-parametric statistical technique of kernel smoothing. When this smoothing technique is implemented as a Neural Network, It is know as Generalized Regression Neural Network (GRNN). We present results of implementing GRNN on a test problem. In addition, we present results of an in house developed 2-D CFD code that will be used through out the project period.

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

    E-Print Network [OSTI]

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

  4. 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

  5. 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

  6. Review: Knowledge and Environmental Policy

    E-Print Network [OSTI]

    Little, Peter C.

    2012-01-01

    of environmental policy, environmental studies, politicalReview: Knowledge and Environmental Policy: Re-Imagining theRobert. Knowledge and Environmental Policy: Re-Imagining the

  7. Truth & Knowledge in Logic & Mathematics

    E-Print Network [OSTI]

    Sher, G

    2012-01-01

    In The princi- ples of mathematics (2nd ed. , pp. v—xiv).Knowledge in Logic 85 Mathematics Gila Sher Abstract In thistruth, knowledge, logic, mathematics, composite reference,

  8. IN-DEPTH KNOWLEDGE-BASED MACHINE TRANSLATION

    E-Print Network [OSTI]

    distribution of the Penman sentence generator and text planner and the develop- ment of ancillary knowledge. Penman and its ancillary resources will be embedded into

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

    E-Print Network [OSTI]

    Schoenebeck, Grant

    2013-01-01

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

  10. 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

    2011-01-18

    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.

  11. Introduction Mapping knowledge domains

    E-Print Network [OSTI]

    Börner, Katy

    changes such as speed of growth and diversi- fication; highlight economic factors in information Department and School of Library and Information Science, Indiana University, Bloomington, IN 47405 The term that we have forgotten how recent is the change to computerized knowledge retrieval with search engines

  12. Mathematically Reduced Chemical Reaction Mechanism Using Neural Networks

    SciTech Connect (OSTI)

    Ziaul Huque

    2007-08-31

    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.

  13. Finding analogies in semantic networks using the singular value decomposition

    E-Print Network [OSTI]

    Krishnamurthy, Jayant (Jayant S.)

    2009-01-01

    We present CROSSBRIDGE, an algorithm for finding analogies in large, sparse semantic networks. We treat analogies as comparisons between domains of knowledge. A domain is a small semantic network, i.e., a set of concepts ...

  14. Evaluating Verification and Validation Methods in Knowledge Engineering

    E-Print Network [OSTI]

    Chen-Burger, Yun-Heh (Jessica)

    management, the paper offers pointers to areas where further work needs to be done on developing more development project. This remains true in the context of knowledge management: V&V techniques provide ways to rectify anomalous knowledge. This paper provides a critical assessment of the state of the practice

  15. 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 Environment Laura Marie Feeney, Martin Nilsson Abstract--Energy-aware design and evaluation of network protocols re- quires knowledge of the energy consumption behavior of actual wireless interfaces. But little

  16. Using Temporal Logics to Express Search Control Knowledge for Planning

    E-Print Network [OSTI]

    Kabanza, Froduald

    of hierarchical task network (HTN) planners have been stud- ied in the literature and utilized in planning systemsUsing Temporal Logics to Express Search Control Knowledge for Planning Fahiem Bacchus Dept kabanza@dmi.usherb.ca June 7, 1999 Abstract Over the years increasingly sophisticated planning algorithms

  17. 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

  18. Aiding Knowledge Capture by Searching for Extensions of Knowledge Models

    E-Print Network [OSTI]

    Leake, David B.

    , and provide a medium for building richly connected multimedia knowl- edge models--sets of linked concept maps knowledge among humans, not as carefully-crafted knowledge bases upon which machines will be performing and knowledge construction. The paper begins with a brief summary of the concept mapping process and the Cmap

  19. 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

  20. 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

  1. Velo: Knowledge and Tool

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricN A County road 39NewsDepartmentVelo: Knowledge and

  2. Concise Papers__________________________________________________________________________________________ Using Hybrid Knowledge Engineering and

    E-Print Network [OSTI]

    Liu, Yonghuai

    with digital image processing methods. The knowledge related to the mural colors is first categorized into four processing. æ 1 INTRODUCTION WITH the development of digital image processing, the restoration and preservation of art works using digital technology has been widely accepted as an effective and practical

  3. A genome-wide regulatory network identifies key transcription factors for memory CD8[superscript +] T-cell development

    E-Print Network [OSTI]

    Hu, Guangan

    Memory CD8[superscript +] T-cell development is defined by the expression of a specific set of memory signature genes. Despite recent progress, many components of the transcriptional control of memory CD8[superscript +] ...

  4. 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)

    2014-06-01

    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.

  5. 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

  6. Mining Knowledge-Sharing Sites for Viral Marketing Matthew Richardson and Pedro Domingos

    E-Print Network [OSTI]

    Domingos, Pedro

    Mining Knowledge-Sharing Sites for Viral Marketing Matthew Richardson and Pedro Domingos Department,pedrod}@cs.washington.edu ABSTRACT Viral marketing takes advantage of networks of influence among customers to inexpensively achieve marketing plan. Knowledge-sharing sites, where customers review products and advise each other

  7. Miniaturized wireless sensor network

    E-Print Network [OSTI]

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

    2010-01-01

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

  8. OPTICAL WDM NETWORK DYNAMICS: AN ANALYTICAL APPROACH WITH APPLICATIONS TO ROBUST NETWORK

    E-Print Network [OSTI]

    Pavel, Lacra

    OPTICAL WDM NETWORK DYNAMICS: AN ANALYTICAL APPROACH WITH APPLICATIONS TO ROBUST NETWORK DESIGN- proach for studying dynamics in optical networks. The approach is based on recasting the problem- resentation for an optical network are developed and particularized to different optical network configura

  9. the Knowledge Centre for Materials CheMistry

    E-Print Network [OSTI]

    the Knowledge Centre for Materials CheMistry The Knowledge Centre for Materials Chemistry (KCMC) coordinates, develops and exploits cutting- edge research in materials chemistry. K CMC does this by providing chemistry from STFC's Daresbury Laboratory in Cheshire and the universities of Liverpool, Manchester

  10. Development of a Network-Based Information Infrastructure for Fisheries and Hydropower Information in the Columbia River Basin : Final Project Report.

    SciTech Connect (OSTI)

    Scheibe, Timothy D.; Johnson, Gary E.; Perkins, Bill

    1997-05-01

    The goal of this project was to help develop technology and a unified structure to access and disseminate information related to the Bonneville Power Administration's fish and wildlife responsibility in the Pacific Northwest. BPA desires to increase access to, and exchange of, information produced by the Environment Fish, and Wildlife Group in concert with regional partners. Historically, data and information have been managed through numerous centralized, controlled information systems. Fisheries information has been fragmented and not widely exchanged. Where exchange has occurred, it often is not timely enough to allow resource managers to effectively use the information to guide planning and decision making. This project (and related projects) have successfully developed and piloted a network-based infrastructure that will serve as a vehicle to transparently connect existing information systems in a manner that makes information exchange efficient and inexpensive. This project was designed to provide a mechanism to help BPA address measures in the Northwest Power Planning Council's (NPPC) Fish and Wildlife program: 3.2H Disseminate Research and Monitoring Information and 5.1A.5 manage water supplies in accordance with the Annual Implementation Work Plan. This project also provided resources that can be used to assist monitoring and evaluation of the Program.

  11. The Network

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

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

  12. Network medicine Tony Pawsona

    E-Print Network [OSTI]

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

  13. Review: Knowledge and Environmental Policy

    E-Print Network [OSTI]

    Little, Peter C.

    2012-01-01

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

  14. Standards Development and Deployment of a Comprehensive, Integrated, Open-standard Monitoring and Equipment Control Networking Protocol Infrastructure for Effective Facility Energy Management of a Large-scale Industrial Site in Alberta, Canada 

    E-Print Network [OSTI]

    Bernstein, R.

    2014-01-01

    Integration (FMSI) Responsibilities • Building Automation System Panel Integration • Design, Maintain, and Supply BMS Panels • Building Management System • User interface • Common dashboard look and feel • Database management and maintenance • BMS software... Suncor Building Management System Standards Development and Deployment of a Comprehensive, Integrated, Open-standard Monitoring and Equipment Control Networking Protocol Infrastructure for Effective Facility Energy Management of a Large...

  15. 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

  16. 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

  17. Artificial Intelligence, Language and the Study of Knowledge

    E-Print Network [OSTI]

    Goldstein, Ira

    1975-07-01

    This paper studies the relationship of Artificial Intelligence to the study of language and the representation of the underlying knowledge which supports the comprehension process. It develops the view that intelligence ...

  18. KTP BENEFITS Knowledge Transfer

    E-Print Network [OSTI]

    Berzins, M.

    of the new oil and to see if the amount discarded as waste could be reduced. BENEFITS The KTP project has from reduced oil waste Better production, storage and management practices Professional development healthy unsaturated oil blend for frying. The Company recognised the benefits of looking at the use

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

    E-Print Network [OSTI]

    Eaton, Craig M.

    2006-12-15

    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...

  20. Knowledge Discovery Overview Brian Worley

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    NIGHT DAY #12;ORNL Is Committed to the Knowledge Discovery Agenda · Entire Research Division Focused-aligned with this science agenda NIGHT DAY #12;Knowledge Discovery Challenge: Orchestrating a discovery process across data") VERDE Electric Grid Status (Real-Time Grid Awareness) Reference by URL Contributed content Reputation

  1. 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

  2. Composable Tools For Network Discovery and Security Analysis

    E-Print Network [OSTI]

    Vigna, Giovanni

    Composable Tools For Network Discovery and Security Analysis Giovanni Vigna Fredrik Valeur Jingyu. This knowledge is provided by network mapping tools. These tools rely on models to rep- resent the entities that is pertinent to a specific target network. Un- fortunately, existing tools rely on incomplete data models

  3. The development of a high-throughput gradient array apparatus for the study of porous polymer networks.

    SciTech Connect (OSTI)

    Majumdar, Partha; Lee, Elizabeth; Chisholm, Bret J.; Dirk, Shawn M.; Weisz, Michael; Bahr, James; Schiele, Kris

    2010-01-01

    A gradient array apparatus was constructed for the study of porous polymers produced using the process of chemically-induced phase separation (CIPS). The apparatus consisted of a 60 element, two-dimensional array in which a temperature gradient was placed in the y-direction and composition was varied in the x-direction. The apparatus allowed for changes in opacity of blends to be monitored as a function of temperature and cure time by taking images of the array with time. The apparatus was validated by dispense a single blend composition into all 60 wells of the array and curing them for 24 hours and doing the experiment in triplicate. Variations in micron scale phase separation were readily observed as a function of both curing time and temperature and there was very good well-to-well consistency as well as trial-to-trial consistency. Poragen of samples varying with respect to cure temperature was removed and SEM images were obtained. The results obtained showed that cure temperature had a dramatic affect on sample morphology, and combining data obtained from visual observations made during the curing process with SEM data can enable a much better understanding of the CIPS process and provide predictive capability through the relatively facile generation of composition-process-morphology relationships. Data quality could be greatly enhanced by making further improvements in the apparatus. The primary improvements contemplated include the use of a more uniform light source, an optical table, and a CCD camera with data analysis software. These improvements would enable quantification of the amount of scattered light generated from individual elements as a function of cure time. In addition to the gradient array development, porous composites were produced by incorporating metal particles into a blend of poragen, epoxy resin, and crosslinker. The variables involved in the experiment were metal particle composition, primary metal particle size, metal concentration, and poragen composition. A total of 16 different porous composites were produced and characterized using SEM. In general, the results showed that pore morphology and the distribution of metal particles was dependent on multiple factors. For example, the use of silver nanoparticles did not significantly affect pore morphology for composites derived from decanol as the poragen, but exceptionally large pores were obtained with the use of decane as the poragen. With regard to the effect of metal particle size, silver nanoparticles were essentially exclusively dispered in the polymer matrix while silver microparticles were found in pores. For nickel particles, both nanoparticles and microparticles were largely dispersed in the polymer matrix and not in the pores.

  4. 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

    2008-03-01

    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.

  5. Backpropagation in Sequential Deep Neural Networks

    E-Print Network [OSTI]

    Noble, William Stafford

    Backpropagation in Sequential Deep Neural Networks Galen Andrew University of Washington galen neural networks to problems in speech processing has combined the output of a static network trained over developed Sequential Deep Neural Network (SDNN) model allows sequential dependencies between internal hidden

  6. Interests Diffusion in Social Networks

    E-Print Network [OSTI]

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

    2015-01-01

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

  7. Hierarchical networks of scientific journals

    E-Print Network [OSTI]

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

    2015-01-01

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

  8. 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

  9. Organizing Global Knowledge Networks in the Electronics Industry

    E-Print Network [OSTI]

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

    2007-01-01

    kept in-house. Fabless Product innovation is semiconductorsWe do so by looking at product innovation in each industryat different phases of product innovation. Each case study

  10. Organizing Global Knowledge Networks in the Electronics Industry

    E-Print Network [OSTI]

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

    2007-01-01

    manufacturers (CMs). As these suppliers expanded their ownwith key component suppliers, requiring extensiveequipment and materials suppliers such as Applied Materials,

  11. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin Film SolarTown(LECBP)BioGenUnidym IncOpen

  12. Network Economics Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

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

  13. Optical Network Testbeds Workshop

    SciTech Connect (OSTI)

    Joe Mambretti

    2007-06-01

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

  14. Biomass Rapid Analysis Network (BRAN)

    SciTech Connect (OSTI)

    Not Available

    2003-10-01

    Helping the emerging biotechnology industry develop new tools and methods for real-time analysis of biomass feedstocks, process intermediates and The Biomass Rapid Analysis Network is designed to fast track the development of modern tools and methods for biomass analysis to accelerate the development of the emerging industry. The network will be led by industry and organized and coordinated through the National Renewable Energy Lab. The network will provide training and other activities of interest to BRAN members. BRAN members will share the cost and work of rapid analysis method development, validate the new methods, and work together to develop the training for the future biomass conversion workforce.

  15. Outage in a Cellular Network Overlaid with an Ad hoc Network: The Uplink Case

    E-Print Network [OSTI]

    Yanikomeroglu, Halim

    Outage in a Cellular Network Overlaid with an Ad hoc Network: The Uplink Case Arshdeep S. Kahlon}@sce.carleton.ca Abstract--We analyze the uplink outage probability at the randomly, but not necessarily independently nor, large-scale power control, and the knowledge of the initial outages in the absence of the secondary

  16. Networked Systems for Developing Regions

    E-Print Network [OSTI]

    Subramanian, Lakshminarayanan

    enabling factor to empower rural markets" 5 The Bottom of the Pyramid !! 3-4 billion people with per-capita, and very local in nature The Dharavi case !! Largest Slum in India !! High cost of being Poor! !! 85% have: !! Health, education, financial services, commerce !! Low-cost !! Low-power !! Need for scalable

  17. Indigenous Knowledges Driving Technological Innovation

    E-Print Network [OSTI]

    Johnson, Jay T.; Hi‘ iaka Working Group

    2011-09-01

    stewardship of the dominant culture often do not mesh well with the indigenous [sic] knowledge and values of a native community. —Eric Riggs, “Field-based Education and Indigenous Knowledge” In February 2011 a National Science Foundation–funded workshop... The Hi‘iaka Working Group, the workshop attendees, and co-authors are Lilian Alessa, Carlos Andrade, Phil Cash Cash, Christian P. Giardina, Matt Hamabata, Craig Hammer, Kai Henifin, Lee Joachim, Jay T. Johnson, Kekuhi Kealiikanakaoleohaililani, Deanna...

  18. Development Development

    E-Print Network [OSTI]

    Programme 2007 - 2010 The aim of the Timber Development Programme (TDP) is "to contribute to the sustainable development to underpin sustainable forest management and support economic growth and employment acrossDevelopment Timber Development Programme 2007 - 2010 #12;2 | Timber Development Programme 2007

  19. Network aware distributed applications

    SciTech Connect (OSTI)

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

    2001-02-04

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

  20. Globally useful conceptions of Alternative Food Networks in the developing south: the case of Johannesburg’s urban food supply system 

    E-Print Network [OSTI]

    Abrahams, Caryn N

    2006-01-01

    Literature on alternative food networks (AFN) has hitherto included multifaceted foci such as short food supply chains (Ilbery and Maye 2005; Renting et al 2003), local food supply systems (Winter 2003; Hinrichs 2000), ...

  1. CONTENT KNOWLEDGE (Declarative Knowledge and Technical Skills): Students will demonstrate a broad knowledge of fundamental and applied engineering subjects: fluid

    E-Print Network [OSTI]

    Fernandez, Eduardo

    knowledge of fundamental and applied engineering subjects: fluid and solid mechanics, dynamics, hydrostatics System Design), students are required to have sound multi disciplinary knowledge of engineering' knowledge of engineering and science subjects and their achievement of technical skills based

  2. Development of equations to determine the increase in pavement condition due to treatment and the rate of decrease in condition after treatment for a local agency pavement network

    E-Print Network [OSTI]

    Deshmukh, Maithilee Mukund.

    2010-07-14

    OF EQUATIONS TO DETERMINE THE INCREASE IN PAVEMENT CONDITION DUE TO TREATMENT AND THE RATE OF DECREASE IN CONDITION AFTER TREATMENT FOR A LOCAL AGENCY PAVEMENT NETWORK A Thesis by MAITHILEE MUKUND DESHMUKH Submitted to the Office of Graduate... TO TREATMENT AND THE RATE OF DECREASE IN CONDITION AFTER TREATMENT FOR A LOCAL AGENCY PAVEMENT NETWORK A Thesis by MAITHILEE MUKUND DESHMUKH Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment...

  3. WIRELESS SENSOR NETWORK BASED CONTROL SYSTEM CONCIDERING COMMUNICATION COST

    E-Print Network [OSTI]

    WIRELESS SENSOR NETWORK BASED CONTROL SYSTEM CONCIDERING COMMUNICATION COST Yutaka Iino* Takeshi for wireless sensor network based control system, minimizing communication energy consumption. Some control, wireless sensor network technology has been developed rapidly, and various applications to control system

  4. USING NEURAL NETWORKS FOR WEB PROXY CACHE REPLACEMENT

    E-Print Network [OSTI]

    ElAarag, Hala

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

  5. Supplier Networks Transformation Toolset (Version 1.0) General Description

    E-Print Network [OSTI]

    Bozd, Kirk

    2004-03-22

    The Supplier Networks Transformation Toolset was developed by LAI's Supplier Networks Working Group and released as version 1.0 in March 2004. This toolset represents the 1.0 version of the LAI Supplier Networks Transformation ...

  6. Friendship Prediction in Composite Social Networks

    E-Print Network [OSTI]

    Zhong, Erheng; Fan, Wei; Liu, Nathan Nan; Yang, Qiang

    2014-01-01

    Friendship prediction is an important task in social network analysis (SNA). It can help users identify friends and improve their level of activity. Most previous approaches predict users' friendship based on their historical records, such as their existing friendship, social interactions, etc. However, in reality, most users have limited friends in a single network, and the data can be very sparse. The sparsity problem causes existing methods to overfit the rare observations and suffer from serious performance degradation. This is particularly true when a new social network just starts to form. We observe that many of today's social networks are composite in nature, where people are often engaged in multiple networks. In addition, users' friendships are always correlated, for example, they are both friends on Facebook and Google+. Thus, by considering those overlapping users as the bridge, the friendship knowledge in other networks can help predict their friendships in the current network. This can be achiev...

  7. AN EXPLORATIVE ACTION RESEARCH STUDY TOWARD THE DESIGN OF A DIGITAL KNOWLEDGE ORGANISATION AS PART

    E-Print Network [OSTI]

    Blake, Edwin

    Indigenous Knowledge Management Systems are being developed in order to preserve, process and retrieve OF AN INDIGENOUS KNOWLEDGE MANAGEMENT SYSTEM WITH A HERERO COMMUNITY A DISSERTATION SUBMITTED TO THE DEPARTMENT approach. The evolutionary design of our indigenous knowledge management system is informed by a series

  8. Resilience of Networks Formed of Interdependent Modular Networks

    E-Print Network [OSTI]

    Shekhtman, Louis; Havlin, Shlomo

    2015-01-01

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

  9. 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

  10. Semantic associative network for text analysis (SANTA) 

    E-Print Network [OSTI]

    Airhart, Robert William

    2000-01-01

    Based on theories of associations, the Semantic Associative Network for Text Analysis (SANTA) has been developed. Nodes in the network represent words and links between nodes represent the association strengths between ...

  11. Sensor network localization based on natural phenomena

    E-Print Network [OSTI]

    Kim, Daniel Sang

    2006-01-01

    Autonomous localization is crucial for many sensor network applications. The goal of this thesis is to develop a distributed localization algorithm for the PLUG indoor sensor network by analyzing sound and light sensory ...

  12. Managing Knowledge in a High Tech Company: Knowledge Sharing about Information Systems

    E-Print Network [OSTI]

    Danziger, Jim; Hull, Suzanne M.

    2000-01-01

    Managing Knowledge in a High Tech Company: Knowledge SharingMANAGING KNOWLEDGE IN A HIGH TECH COMPANY: KNOWLEDGE SHARINGend users in a large, high-tech company. There is widespread

  13. Knowledge information management toolkit and method

    DOE Patents [OSTI]

    Hempstead, Antoinette R.; Brown, Kenneth L.

    2006-08-15

    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.

  14. Google matrix analysis of directed networks

    E-Print Network [OSTI]

    Leonardo Ermann; Klaus M. Frahm; Dima L. Shepelyansky

    2015-06-19

    In past ten years, modern societies developed enormous communication and social networks. Their classification and information retrieval processing become a formidable task for the society. Due to the rapid growth of World Wide Web, social and communication networks, new mathematical methods have been invented to characterize the properties of these networks on a more detailed and precise level. Various search engines are essentially using such methods. It is highly important to develop new tools to classify and rank enormous amount of network information in a way adapted to internal network structures and characteristics. This review describes the Google matrix analysis of directed complex networks demonstrating its efficiency on various examples including World Wide Web, Wikipedia, software architecture, world trade, social and citation networks, brain neural networks, DNA sequences and Ulam networks. The analytical and numerical matrix methods used in this analysis originate from the fields of Markov chains, quantum chaos and Random Matrix theory.

  15. 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 ...

  16. Knowledge Media Institute Scholarly Discourse

    E-Print Network [OSTI]

    and implementation of a knowledge based hypertext environment called ScholOnto (for Scholarly Ontologies), which aims claims, argumentation and perspectives. A specialised web server will provide a medium for researchers to contest the significance of concepts and emergent structures. In so doing, participants construct

  17. Data Mining and Knowledge Discovery

    E-Print Network [OSTI]

    Novak, Petra Kralj

    Data Mining and Knowledge Discovery Part of Jozef Stefan IPS Programme - ICT3 and UL Programme. Introduction Data Mining in a Nutshell Predictive and descriptive DM techniques Data Mining and KDD process Technologies I. Introduction: First generation data mining Data Mining in a nutshell Predictive

  18. A knowledge portal for Norway

    E-Print Network [OSTI]

    Stølen, Ketil

    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

  19. 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 fields,thus offering a dual...

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

    E-Print Network [OSTI]

    Dalkilic, Mehmet

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

  1. The Varieties of Self-Knowledge 

    E-Print Network [OSTI]

    Kabeshkin, Anton Sergeevich

    2012-07-16

    actions I establish that we have a distinctive non-observational kind of self-knowledge and show some specific characteristics of this kind of self-knowledge. In the end I attempt to relate self-knowledge of mental actions to practical knowledge...

  2. Cognitive Radio Networks as Sensor Networks

    E-Print Network [OSTI]

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

    2007-01-01

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

  3. Learning from Profession Knowledge: Application on Knitting

    E-Print Network [OSTI]

    Matta, Nada

    2010-01-01

    Knowledge Management is a global process in companies. It includes all the processes that allow capitalization, sharing and evolution of the Knowledge Capital of the firm, generally recognized as a critical resource of the organization. Several approaches have been defined to capitalize knowledge but few of them study how to learn from this knowledge. We present in this paper an approach that helps to enhance learning from profession knowledge in an organisation. We apply our approach on knitting industry.

  4. Design and implementation of an integrated network management system for TCP/IP-based distributed networks 

    E-Print Network [OSTI]

    Patel, Samir K.

    1993-01-01

    in designing of tools for network management. Various workstation vendors have developed such tools for their window systems, but many of the tools are not compatible for other systems. The X Window System, however, provides hardware independent and network...

  5. Logic and Bayesian Networks Part 3: Knoweledge Compilation

    E-Print Network [OSTI]

    Huang, Jinbo

    Logic and Bayesian Networks Part 3: Knoweledge Compilation Jinbo Huang Jinbo Huang Knowledge Compilation 1/ 53 #12;Negation Normal Form (NNF) AND/OR circuit over literals Jinbo Huang Knowledge Compilation 2/ 53 #12;Negation Normal Form (NNF) Any Boolean function can be represented in NNF (completeness

  6. Integrated Approach to Reconstruction of Microbial Regulatory Networks

    SciTech Connect (OSTI)

    Rodionov, Dmitry A; Novichkov, Pavel S

    2013-11-04

    This project had the goal(s) of development of integrated bioinformatics platform for genome-scale inference and visualization of transcriptional regulatory networks (TRNs) in bacterial genomes. The work was done in Sanford-Burnham Medical Research Institute (SBMRI, P.I. D.A. Rodionov) and Lawrence Berkeley National Laboratory (LBNL, co-P.I. P.S. Novichkov). The developed computational resources include: (1) RegPredict web-platform for TRN inference and regulon reconstruction in microbial genomes, and (2) RegPrecise database for collection, visualization and comparative analysis of transcriptional regulons reconstructed by comparative genomics. These analytical resources were selected as key components in the DOE Systems Biology KnowledgeBase (SBKB). The high-quality data accumulated in RegPrecise will provide essential datasets of reference regulons in diverse microbes to enable automatic reconstruction of draft TRNs in newly sequenced genomes. We outline our progress toward the three aims of this grant proposal, which were: Develop integrated platform for genome-scale regulon reconstruction; Infer regulatory annotations in several groups of bacteria and building of reference collections of microbial regulons; and Develop KnowledgeBase on microbial transcriptional regulation.

  7. Network Bandwidth Utilization Forecast Model on High Bandwidth Network

    SciTech Connect (OSTI)

    Yoo, Wucherl; Sim, Alex

    2014-07-07

    With the increasing number of geographically distributed scientific collaborations and the scale of the data size growth, it has become more challenging for users to achieve the best possible network performance on a shared network. We have developed a forecast model to predict expected bandwidth utilization for high-bandwidth wide area network. The forecast model can improve the efficiency of resource utilization and scheduling data movements on high-bandwidth network to accommodate ever increasing data volume for large-scale scientific data applications. Univariate model is developed with STL and ARIMA on SNMP path utilization data. Compared with traditional approach such as Box-Jenkins methodology, our forecast model reduces computation time by 83.2percent. It also shows resilience against abrupt network usage change. The accuracy of the forecast model is within the standard deviation of the monitored measurements.

  8. Web Services Dependency Networks Analysis

    E-Print Network [OSTI]

    Cherifi1, Chantal; Santucci, Jean-François

    2013-01-01

    Along with a continuously growing number of publicly available Web services (WS), we are witnessing a rapid development in semantic-related web technologies, which lead to the apparition of semantically described WS. In this work, we perform a comparative analysis of the syntactic and semantic approaches used to describe WS, from a complex network perspective. First, we extract syntactic and semantic WS dependency networks from a collection of publicly available WS descriptions. Then, we take advantage of tools from the complex network field to analyze them and determine their topological properties. We show WS dependency networks exhibit some of the typical characteristics observed in real-world networks, such as small world and scale free properties, as well as community structure. By comparing syntactic and semantic networks through their topological properties, we show the introduction of semantics in WS description allows modeling more accurately the dependencies between parameters, which in turn could l...

  9. Fiber networks amplify active stress

    E-Print Network [OSTI]

    Pierre Ronceray; Chase Broedersz; Martin Lenz

    2015-07-22

    Large-scale force generation is essential for biological functions such as cell motility, embryonic development, and muscle contraction. In these processes, forces generated at the molecular level by motor proteins are transmitted by disordered fiber networks, resulting in large-scale active stresses. While these fiber networks are well characterized macroscopically, this stress generation by microscopic active units is not well understood. Here we theoretically study force transmission in these networks, and find that local active forces are rectified towards isotropic contraction and strongly amplified as fibers collectively buckle in the vicinity of the active units. This stress amplification is reinforced by the networks' disordered nature, but saturates for high densities of active units. Our predictions are quantitatively consistent with experiments on reconstituted tissues and actomyosin networks, and shed light on the role of the network microstructure in shaping active stresses in cells and tissue.

  10. Views of wireless network systems.

    SciTech Connect (OSTI)

    Young, William Frederick; Duggan, David Patrick

    2003-10-01

    Wireless networking is becoming a common element of industrial, corporate, and home networks. Commercial wireless network systems have become reliable, while the cost of these solutions has become more affordable than equivalent wired network solutions. The security risks of wireless systems are higher than wired and have not been studied in depth. This report starts to bring together information on wireless architectures and their connection to wired networks. We detail information contained on the many different views of a wireless network system. The method of using multiple views of a system to assist in the determination of vulnerabilities comes from the Information Design Assurance Red Team (IDART{trademark}) Methodology of system analysis developed at Sandia National Laboratories.

  11. Quantum neural networks Alexandr A. Ezhov1

    E-Print Network [OSTI]

    Martinez, Tony R.

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

  12. Maritime Aerosol Network as a component of Aerosol Robotic A. Smirnov,1,2

    E-Print Network [OSTI]

    Maritime Aerosol Network as a component of Aerosol Robotic Network A. Smirnov,1,2 B. N. Holben,2 I of the Maritime Aerosol Network (MAN), which has been developed as a component of the Aerosol Robotic Network), Maritime Aerosol Network as a component of Aerosol Robotic Network, J. Geophys. Res., 114, D06204, doi:10

  13. IMPACTS OF OIL AND NATURAL GAS ON PRAIRIE GROUSE: CURRENT KNOWLEDGE AND RESEARCH NEEDS1

    E-Print Network [OSTI]

    Beck, Jeffrey L.

    IMPACTS OF OIL AND NATURAL GAS ON PRAIRIE GROUSE: CURRENT KNOWLEDGE AND RESEARCH NEEDS1 Jeffrey L current knowledge on the effects of oil and gas development and production on prairie grouse based to impacts from oil and gas development or (ii) correlative studies evaluating cause and effect relationships

  14. Statistical Analysis of Bus Networks in India

    E-Print Network [OSTI]

    Chatterjee, Atanu; Ramadurai, Gitakrishnan

    2015-01-01

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

  15. Community Detection from Location-Tagged Networks

    E-Print Network [OSTI]

    Liu, Zhi

    2015-01-01

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

  16. Innovation Systems as Patent Networks: The Netherlands, India and Nanotech

    E-Print Network [OSTI]

    Dolfsma, Wilfred

    2011-01-01

    Research in the domain of 'Innovation Studies' has been claimed to allow for the study of how technology will develop in the future. Some suggest that the National and Sectoral Innovation Systems literature has become bogged down, however, into case studies of how specific institutions affect innovation in a specific country. A useful notion for policy makers in particular, Balzat & Hanusch (2004) argued that there is a need for NIS studies to develop complementary and also quantitative methods in order to generate new insights that are comparable across national borders. We use data for patents granted by the World Intellectual Property Organization (WIPO) to map innovation systems. Groupings of patents into primary and secondary classes (co-classification) can be used as relational indicators. Knowledge from one class may be more easily used in another class when a co-classification relation exists. Using social network analysis, we map the co-classification of patents among classes and thus indicate wh...

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

    SciTech Connect (OSTI)

    Kimberlyn C. Mousseau

    2011-12-01

    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.

  18. Introducing Web Application Development

    E-Print Network [OSTI]

    Ding, Wei

    Introducing Web Application Development Instructor: Dr Wei Ding Development Instructor: Dr.Wei Ding Fall 2009 1CS 437/637 Database-BackedWeb Sites andWeb Services Introduction: Internet vs. World Wide Web Internet is an interconnected network of thousands ofInternet is an interconnected network

  19. Declarative Failure Recovery for Sensor Networks

    E-Print Network [OSTI]

    Gummadi, Ramakrishna; Kothari, Nupur; Millstein, Todd; Govindan, Ramesh

    2007-01-01

    developing wireless embedded systems software. CENS-TR-9,Approach to Networked Embedded Systems. In PLDI 2003. [14]culties of traditional embedded systems, including scale,

  20. Optimum Transmission Range for Wireless Ad Hoc Networks

    E-Print Network [OSTI]

    Deng, Jing

    Optimum Transmission Range for Wireless Ad Hoc Networks Jing Deng Dept. of EECS Syracuse Univ-- The transmission range that achieves the most economical use of energy in wireless ad hoc networks is studied under homogeneous node distribution. By as- suming the knowledge of node location, we first proposed a transmission

  1. Fundamental Bounds on the Accuracy of Network Performance Measurements

    E-Print Network [OSTI]

    Roughan, Matthew

    Fundamental Bounds on the Accuracy of Network Performance Measurements Matthew Roughan School.roughan@adelaide.edu.au> ABSTRACT This paper considers the basic problem of "how accurate can we make Internet performance of Heisenberg inequal- ity describing the bounds in our knowledge of the performance of a network. The results

  2. Fundamental Bounds on the Accuracy of Network Performance Measurements

    E-Print Network [OSTI]

    Roughan, Matthew

    Fundamental Bounds on the Accuracy of Network Performance Measurements Matthew Roughan School.roughan@adelaide.edu.au> ABSTRACT This paper considers the basic problem of ``how accurate can we make Internet performance of Heisenberg inequal­ ity describing the bounds in our knowledge of the performance of a network. The results

  3. 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

  4. Network Chimera Network Chimera

    E-Print Network [OSTI]

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

  5. Data-Centric Systems and Networking Contact: eiko.yoneki@cl.cam.ac.uk

    E-Print Network [OSTI]

    Haddadi, Hamed

    ) Digital Epidemiology Raspberry Pi based delay tolerant networks with satellite connectivity in developing

  6. Public Auditing for Ensuring Cloud Data Storage Security With Zero Knowledge Privacy

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    Public Auditing for Ensuring Cloud Data Storage Security With Zero Knowledge Privacy Wang Shao privacy and is secure in the random oracle model. Keywords: Cloud Computing, Cloud Storage, Public University of Posts and Telecommunications, Nanjing 210046, China; 2 Network and Data Security Key Laboratory

  7. Computationally Efficient Neural Network Intrusion Security Awareness

    SciTech Connect (OSTI)

    Todd Vollmer; Milos Manic

    2009-08-01

    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.

  8. CONTENT KNOWLEDGE (Declarative Knowledge): Students will demonstrate a broad knowledge of fundamental and applied engineering subjects: fluid and solid

    E-Print Network [OSTI]

    Fernandez, Eduardo

    ), students are required to have sound multidisciplinary knowledge of engineering and science subjects' knowledge of engineering and science subjects based on their performance in the senior design courses, formulate, and solve engineering problems by applying knowledge of mathematics, science and engineering

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

    E-Print Network [OSTI]

    You, Zhixia

    2009-05-15

    This study examines preservice teachers’ knowledge in the case of linear functions. Teachers’ knowledge in general consists of their subject matter knowledge and their pedagogical content knowledge. In this study, teachers’ subject matter knowledge...

  10. Building Reconstruction from ALS: Integrating Shape knowledge

    E-Print Network [OSTI]

    Building Reconstruction from ALS: Integrating Shape knowledge and Manual Operation Biao Xiong George Vosselman #12;Introduction Primitive Buildings Constraint Least Square Fit Manual Operation Future work 2 #12;Introduction Primitive Buildings Building Knowledge Constraint Least Square Fit Manual

  11. A precise computational approach to knowledge

    E-Print Network [OSTI]

    Pass, Rafael (Rafael Nat Josef)

    2006-01-01

    The seminal work of Goldwasser, Micali and Rackoff put forward a computational approach to knowledge in interactive systems, providing the foundation of modern Cryptography. Their notion bounds the knowledge of a player ...

  12. 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

  13. The knowledge-based content management application design methodology

    E-Print Network [OSTI]

    Chen-Burger, Yun-Heh (Jessica)

    of the development life cycle of a software system based on the ICONS framework. The result of the work presented life cycle methodology. It allows the organisation that implements a knowledge management software two chapters are the presentation of the general context for life cycle and management methodologies

  14. A Data and Knowledge Management System for Intelligent Buildings 

    E-Print Network [OSTI]

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

    2006-01-01

    into three main stages: design, construction, and utilization. The concept is then developed to an integrated model for web-based information supply and sharing, and some key points of the construction of an information platform and a knowledge system portal...

  15. INTRODUCING ASK, A SIMPLE KNOWLEDGEABLE SYSTEM Bozenn H. Thompson

    E-Print Network [OSTI]

    Inatitnce of Technology Pasadena, California 91125 ABSTRACT ASK, ~ ~imple Knowledgeable System, is a total in the sense thaC its development concentrated on clean engineering solutions to what could be done now is Boston. London has been replaced by Boston as the home port of Maru. >The cargo of Maru is coal. coal has

  16. 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

  17. Knowledge based expert systems in engineering: Planning and design

    SciTech Connect (OSTI)

    Sriram, D.; Adey, R.A.

    1987-01-01

    AI technology and in particular knowledge based expert systems is now making a major impact in design with many systems being developed an applied in engineering. This book contains details on how these systems are developed and how they are being applied. Papers cover application of AI in project management, conceptual design, automated design systems, and process planning in many areas of engineering. Example systems discussed in the 31 papers include structural design, digital circuit design, road design plus many other applications.

  18. Networks in Buildings: Which Path Forward?

    SciTech Connect (OSTI)

    Nordman, Bruce

    2008-08-17

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

  19. Agent organization in the knowledge plane

    E-Print Network [OSTI]

    Li, Ji, 1975-

    2008-01-01

    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 ...

  20. Agent Organization in the Knowledge Plane

    E-Print Network [OSTI]

    Li, Ji

    2008-06-11

    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 ...

  1. Energy Efficient Digital Networks

    E-Print Network [OSTI]

    Lanzisera, Steven

    2014-01-01

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

  2. Groundwater Monitoring Network

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

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

  3. Developing Second Grade Teachers' Pedagogical Content Knowledge of Place Value 

    E-Print Network [OSTI]

    Kulhanek, Stefani Michelle

    2013-01-10

    An understanding of whole number place value is a critical component of second-grade mathematics. This understanding of place value provides the foundational concept for operations with whole numbers. The ability to ...

  4. Sustainable Supply Chain Networks Sustainable Cities

    E-Print Network [OSTI]

    Nagurney, Anna

    SupplyChainNetworkDesign-nagurney-nagurney.pdf · "Environmental Impact Assessment of Transportation Networks with Degradable Links in an Era of Climate Change," A is Sustainability? The general definition of sustainability is development that meets the needs of the present Environment and Development (WCED) (1987)). Anna Nagurney Sustainability #12;The Debates Continue There are

  5. Phoebus: Network Middleware for Next-Generation Network Computing

    SciTech Connect (OSTI)

    Martin Swany

    2012-06-16

    The Phoebus project investigated algorithms, protocols, and middleware infrastructure to improve end-to-end performance in high speed, dynamic networks. The Phoebus system essentially serves as an adaptation point for networks with disparate capabilities or provisioning. This adaptation can take a variety of forms including acting as a provisioning agent across multiple signaling domains, providing transport protocol adaptation points, and mapping between distributed resource reservation paradigms and the optical network control plane. We have successfully developed the system and demonstrated benefits. The Phoebus system was deployed in Internet2 and in ESnet, as well as in GEANT2, RNP in Brazil and over international links to Korea and Japan. Phoebus is a system that implements a new protocol and associated forwarding infrastructure for improving throughput in high-speed dynamic networks. It was developed to serve the needs of large DOE applications on high-performance networks. The idea underlying the Phoebus model is to embed Phoebus Gateways (PGs) in the network as on-ramps to dynamic circuit networks. The gateways act as protocol translators that allow legacy applications to use dedicated paths with high performance.

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

    SciTech Connect (OSTI)

    Upadhyay, H.; Lagos, L.; Quintero, W.; Shoffner, P.; DeGregory, J.

    2012-07-01

    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)

  7. 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

    2014-02-18

    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.

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

    SciTech Connect (OSTI)

    Reddy, S.

    1991-01-01

    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.

  9. Managing Knowledge Workers in Global Value Chains

    E-Print Network [OSTI]

    Brown, Clair; Linden, Greg

    2010-01-01

    Strategic Alliances. ” Strategic Management Journal, v.12,Overseas Knowledge. ” Strategic Management Journal, 22(4):Performance. ” Strategic Management Journal, 28(13): 1319–

  10. 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...

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

    Open Energy Info (EERE)

    Knowledge Exchange on Openei Abstract Though exploring for hydrothermal resources is not new, advances in exploration technologies and the pursuit of less visible resources have...

  12. Bioenergy Knowledge Discovery Framework Recognized at National...

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

    50 papers with wide-ranging topics in the field of geospatial information systems. The paper explains how the Bioenergy Knowledge Discovery Framework (KDF) is bringing together...

  13. ORIGINAL PAPER The interdisciplinary engineering knowledge genome

    E-Print Network [OSTI]

    Shai, Offer

    mastered all necessary knowledge to start and complete projects. Since the industrial revolution empirical discipline. The second industrial revolution saw the emergence of chemical and electrical

  14. Sustaining knowledge in the neutron generator community and benchmarking study. Phase II.

    SciTech Connect (OSTI)

    Huff, Tameka B.; Stubblefield, William Anthony; Cole, Benjamin Holland, II; Baldonado, Esther

    2010-08-01

    This report documents the second phase of work under the Sustainable Knowledge Management (SKM) project for the Neutron Generator organization at Sandia National Laboratories. Previous work under this project is documented in SAND2008-1777, Sustaining Knowledge in the Neutron Generator Community and Benchmarking Study. Knowledge management (KM) systems are necessary to preserve critical knowledge within organizations. A successful KM program should focus on people and the process for sharing, capturing, and applying knowledge. The Neutron Generator organization is developing KM systems to ensure knowledge is not lost. A benchmarking study involving site visits to outside industry plus additional resource research was conducted during this phase of the SKM project. The findings presented in this report are recommendations for making an SKM program successful. The recommendations are activities that promote sharing, capturing, and applying knowledge. The benchmarking effort, including the site visits to Toyota and Halliburton, provided valuable information on how the SEA KM team could incorporate a KM solution for not just the neutron generators (NG) community but the entire laboratory. The laboratory needs a KM program that allows members of the workforce to access, share, analyze, manage, and apply knowledge. KM activities, such as communities of practice (COP) and sharing best practices, provide a solution towards creating an enabling environment for KM. As more and more people leave organizations through retirement and job transfer, the need to preserve knowledge is essential. Creating an environment for the effective use of knowledge is vital to achieving the laboratory's mission.

  15. A network of over 10 relatively closely spaced VHF windprofiler radars is under construction in Ontario

    E-Print Network [OSTI]

    Barron, John

    construction in Ontario and Quebec, Canada. Using frequencies in the range 40 to 55 MHz, this network for this, a new network of radars is being developed on a trial basis in the provinces of Ontario and Quebec. The radar network is called the O-QNet network (Ontario- Quebec Network). The proposed radar

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

    SciTech Connect (OSTI)

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

    2012-11-02

    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.

  17. Closed-loop real-time control on distributed networks 

    E-Print Network [OSTI]

    Ambike, Ajit Dilip

    2004-11-15

    This thesis is an e?ort to develop closed-loop control strategies on computer networks and study their stability in the presence of network delays and packet losses. An algorithm using predictors was designed to ...

  18. Enterprise social networks : engaging employees and sustaining participation

    E-Print Network [OSTI]

    Sharma, Payal

    2014-01-01

    Social relationships pervade every aspect of human life and development of social networks at work is inevitable. Enterprise social networking solutions provide a platform for employees to formally foster these professional ...

  19. Progress of the Engine Combustion Network | Department of Energy

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

    of the Engine Combustion Network Progress of the Engine Combustion Network ECN seeks to accelerate development of clean high-efficiency engines. deer09pickett.pdf More Documents &...

  20. Transactional Network Platform: Applications

    SciTech Connect (OSTI)

    Katipamula, Srinivas; Lutes, Robert G.; Ngo, Hung; Underhill, Ronald M.

    2013-10-31

    In FY13, Pacific Northwest National Laboratory (PNNL) with funding from the Department of Energy’s (DOE’s) Building Technologies Office (BTO) designed, prototyped and tested a transactional network platform to support energy, operational and financial transactions between any networked entities (equipment, organizations, buildings, grid, etc.). Initially, in FY13, the concept demonstrated transactions between packaged rooftop air conditioners and heat pump units (RTUs) and the electric grid using applications or "agents" that reside on the platform, on the equipment, on a local building controller or in the Cloud. The transactional network project is a multi-lab effort with Oakridge National Laboratory (ORNL) and Lawrence Berkeley National Laboratory (LBNL) also contributing to the effort. PNNL coordinated the project and also was responsible for the development of the transactional network (TN) platform and three different applications associated with RTUs. This document describes two applications or "agents" in details, and also summarizes the platform. The TN platform details are described in another companion document.

  1. Learning Energy Demand Domain Knowledge via Feature Transformation

    E-Print Network [OSTI]

    Povinelli, Richard J.

    -- 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. The first stage automatically captures energy demand forecasting domain knowledge through nonlinear

  2. What are essential concepts about networks?

    E-Print Network [OSTI]

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

    2015-01-01

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

  3. Analyzing regional advantage by means of patent co-inventor network: A case study Weiling Li1

    E-Print Network [OSTI]

    Lee, Dongwon

    Analyzing regional advantage by means of patent co-inventor network: A case study Weiling Li1, to the best of our knowledge, is the first study that uses patent co-inventor network to quantitatively of co-inventor networks of Intel in Silicon Valley and Digital Equipment Corporation (DEC) in Route 128

  4. Preservice Teachers’ Content Knowledge of Function Concept within a Contextual Environment 

    E-Print Network [OSTI]

    Brown, Irving

    2012-10-19

    The overarching goal of this dissertation research was to develop and measure the psychometric properties of an instrument to assess preservice teachers’ content knowledge of the function concept embedded in contextual ...

  5. Resource and Knowledge Discovery in Global Information Systems: A Multiple Layered

    E-Print Network [OSTI]

    Fu, Yongjian

    Resource and Knowledge Discovery in Global Information Systems: A Multiple Layered Database an im­ portant issue in the research into global information systems. Although researches successfully developed and delivered to the market, a global information system stores much huger amount

  6. A knowledge of the potential

    E-Print Network [OSTI]

    Sali, Andrej

    is as important for understanding protein folding as is the potential surface for the H H2 reaction. estimated to protein folding, in which thousands of atoms take part. The under- standing of a reaction is based of experimental developments and theoretical advances.[1] By contrast, protein folding is so complex that even

  7. Scientific Knowledge 1. What is the Problem?

    E-Print Network [OSTI]

    Giere, Ronald N.

    Chapter 1 Scientific Knowledge 1. What is the Problem? Since the end of World War II, the influence scientific knowledge.1 In spite of the undeniable successes of post World War II science, there have always-scientists. After World War II, widespread serious questions about the nature of scientific #12;Giere. Scientific

  8. 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

  9. 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 and Knowledge for a Sustainable Future #12;3SLU's strategy for research, education and environmental monitoring, education and environmental monitoring and assessment The Life Sciences and Knowledge for a Sustainable

  10. Research Challenges in Ubiquitous Knowledge Discovery

    E-Print Network [OSTI]

    Malerba, Donato

    .0 to ubiquitous computing and robotics, aim to create systems which are "smart", "intelligent" , "adap- tive" etcChapter 2 Research Challenges in Ubiquitous Knowledge Discovery Michael May, Bettina Berendt, Sabanci Uni- versity, Technion, University of Hasselt 2.1 Ubiquitous Knowledge Discovery

  11. Neural Networks Early Neural Network Modeling

    E-Print Network [OSTI]

    Yuste, Rafael

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

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

    SciTech Connect (OSTI)

    1993-08-11

    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.

  13. Managing Knowledge Workers in Global Value Chains

    E-Print Network [OSTI]

    Brown, Clair; Linden, Greg

    2010-01-01

    Industry”, Journal of Product Innovation Management. 23:2006. “Fostering Product Innovation In Industry Networks:technology in product or process innovations. In a failed

  14. ASCR Science Network Requirements

    SciTech Connect (OSTI)

    Dart, Eli; Tierney, Brian

    2009-08-24

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

  15. Rethinking Information Theory for Mobile Ad Hoc Networks

    E-Print Network [OSTI]

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

    2007-01-01

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

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

    SciTech Connect (OSTI)

    Zarkesh-Ha, Payman

    2014-09-12

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

  17. Insecurity of Wireless Networks

    SciTech Connect (OSTI)

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

    2012-01-01

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

  18. IEEE 342 Node Low Voltage Networked Test System

    SciTech Connect (OSTI)

    Schneider, Kevin P.; Phanivong, Phillippe K.; Lacroix, Jean-Sebastian

    2014-07-31

    The IEEE Distribution Test Feeders provide a benchmark for new algorithms to the distribution analyses community. The low voltage network test feeder represents a moderate size urban system that is unbalanced and highly networked. This is the first distribution test feeder developed by the IEEE that contains unbalanced networked components. The 342 node Low Voltage Networked Test System includes many elements that may be found in a networked system: multiple 13.2kV primary feeders, network protectors, a 120/208V grid network, and multiple 277/480V spot networks. This paper presents a brief review of the history of low voltage networks and how they evolved into the modern systems. This paper will then present a description of the 342 Node IEEE Low Voltage Network Test System and power flow results.

  19. Complete Knowledge Assumption Often you want to assume that your knowledge is complete.

    E-Print Network [OSTI]

    Valtorta, Marco

    Complete Knowledge Assumption Often you want to assume that your knowledge is complete. Example: assume that a database of what students are enrolled in a course is complete. The definite clause language is monotonic: adding clauses can't invalidate a previous conclusion. Under the complete knowledge

  20. Distributed Digital Preservation: Technical, Sustainability, and Organizational Developments

    E-Print Network [OSTI]

    Walters, Tyler; Bishoff, Liz; Gore, Emily B.; Jordan, Mark; Wilson, Thomas C

    2009-01-01

    preservation. OJS is an open-source journal management platform developed and supported by the Public Knowledge

  1. Shape-shifting droplet networks

    E-Print Network [OSTI]

    T. Zhang; Duanduan Wan; J. M. Schwarz; M. J. Bowick

    2015-05-10

    Many naturally occurring materials can change their shape in response to external stimuli or internal stresses. Inspired by such materials, as well as recent experiments, we consider a three- dimensional network of aqueous droplets joined by single lipid bilayers to form a cohesive, tissue- like material. The droplets in these self-assembled networks can be programmed to have distinct osmolarities. The resultant osmotic gradients generate internal stresses via local fluid flows, causing the network to deform in shape. We study, using molecular dynamics simulations, the formation of a variety of shapes ranging from rings to spirals to tetrahedra and determine the optimal range of parameters for each structure. We also realize a reversible folding-unfolding process by adding an osmotic interaction with the surrounding environment which necessarily evolves dynamically as the shape of the network changes. Such reversible processes may well be important for the development of osmotic robotics in synthetic and bio-inspired materials.

  2. Privilege as a Function of Profit: Network Neutrality and the Digital Public Sphere 

    E-Print Network [OSTI]

    Wardlaw, Brandon

    2011-08-08

    This paper seeks to evaluate the role that Network Neutrality policies play in terms of access to knowledge in the public sphere, as well as the role that approaches to distributive justice might play in offering justification ...

  3. Network Automata: Coupling structure and function in real-world networks

    E-Print Network [OSTI]

    David M. D. Smith; Jukka-Pekka Onnela; Chiu Fan Lee; Mark Fricker; Neil F. Johnson

    2009-07-17

    We introduce Network Automata, a framework which couples the topological evolution of a network to its structure. It is useful for dealing with networks in which the topology evolves according to some specified microscopic rules and, simultaneously, there is a dynamic process taking place on the network that both depends on its structure but is also capable of modifying it. It is a generic framework for modeling systems in which network structure, dynamics, and function are interrelated. At the practical level, this framework allows for easy implementation of the microscopic rules involved in such systems. To demonstrate the approach, we develop a class of simple biologically inspired models of fungal growth.

  4. IEEE Network Special Issue on Network Systems Architecture The last two decades have been characterized by significant advances in networking. The

    E-Print Network [OSTI]

    Baldi, Mario

    IEEE Network Special Issue on Network Systems Architecture Editorial The last two decades have been the development of a wide range of high- speed networks in the wide and local area, while the advances in access. The prevalence of Internet technology has brought its services to a very large population, which has been growing

  5. IGENPRO knowledge-based digital system for process transient diagnostics and management

    SciTech Connect (OSTI)

    Morman, J.A.; Reifman, J.; Wei, T.Y.C. [Argonne National Lab., IL (United States)] [and others

    1997-12-31

    Verification and validation issues have been perceived as important factors in the large scale deployment of knowledge-based digital systems for plant transient diagnostics and management. Research and development (R&D) is being performed on the IGENPRO package to resolve knowledge base issues. The IGENPRO approach is to structure the knowledge bases on generic thermal-hydraulic (T-H) first principles and not use the conventional event-basis structure. This allows for generic comprehensive knowledge, relatively small knowledge bases and above all the possibility of T-H system/plant independence. To demonstrate concept feasibility the knowledge structure has been implemented in the diagnostic module PRODIAG. Promising laboratory testing results have been obtained using data from the full scope Braidwood PWR operator training simulator. This knowledge structure is now being implemented in the transient management module PROMANA to treat unanticipated events and the PROTREN module is being developed to process actual plant data. Achievement of the IGENPRO R&D goals should contribute to the acceptance of knowledge-based digital systems for transient diagnostics and management.

  6. An Insulating Glass Knowledge Base

    SciTech Connect (OSTI)

    Michael L. Doll; Gerald Hendrickson; Gerard Lagos; Russell Pylkki; Chris Christensen; Charlie Cureija

    2005-08-01

    This report will discuss issues relevant to Insulating Glass (IG) durability performance by presenting the observations and developed conclusions in a logical sequential format. This concluding effort discusses Phase II activities and focuses on beginning to quantifying IG durability issues while continuing the approach presented in the Phase I activities (Appendix 1) which discuss a qualitative assessment of durability issues. Phase II developed a focus around two specific IG design classes previously presented in Phase I of this project. The typical box spacer and thermoplastic spacer design including their Failure Modes and Effect Analysis (FMEA) and Fault Tree diagrams were chosen to address two currently used IG design options with varying components and failure modes. The system failures occur due to failures of components or their interfaces. Efforts to begin quantifying the durability issues focused on the development and delivery of an included computer based IG durability simulation program. The focus/effort to deliver the foundation for a comprehensive IG durability simulation tool is necessary to address advancements needed to meet current and future building envelope energy performance goals. This need is based upon the current lack of IG field failure data and the lengthy field observation time necessary for this data collection. Ultimately, the simulation program is intended to be used by designers throughout the current and future industry supply chain. Its use is intended to advance IG durability as expectations grow around energy conservation and with the growth of embedded technologies as required to meet energy needs. In addition the tool has the immediate benefit of providing insight for research and improvement prioritization. Included in the simulation model presentation are elements and/or methods to address IG materials, design, process, quality, induced stress (environmental and other factors), validation, etc. In addition, acquired data is presented in support of project and model assumptions. Finally, current and suggested testing protocol and procedure for future model validation and IG physical testing are discussed.

  7. IEEE TRANSACTION ON KNOWLEDGE AND DATA ENGINEERING, VOL. X, NO. X, XXX 2011 1 Failure-Aware Cascaded Suppression

    E-Print Network [OSTI]

    Yang, Jun

    IEEE TRANSACTION ON KNOWLEDGE AND DATA ENGINEERING, VOL. X, NO. X, XXX 2011 1 Failure-Aware Cascaded Suppression in Wireless Sensor Networks Yi Zhang, Kristian Lum, and Jun Yang Abstract constraints on battery-powered nodes, it is critical to minimize communication. Suppression has been proposed

  8. Radio Network Planning with Combinatorial Optimisation Algorithms

    E-Print Network [OSTI]

    Boyer, Edmond

    Radio Network Planning with Combinatorial Optimisation Algorithms P. Calégari, F. Guidec, P. Kuonen@c2r.tdf.fr Group: Software tools Abstract: Future UMTS radio planning engineers will face difficult, a software for the optimisation of the radio network is under development. Two mathematical models

  9. Multicriteria Spatial Price Networks: Statics and Dynamics

    E-Print Network [OSTI]

    Nagurney, Anna

    Multicriteria Spatial Price Networks: Statics and Dynamics Anna Nagurney Department of Finance: In this paper, we develop a spatial price network equilibrium model in which consumers at the demand markets commodity. We provide the governing equilibrium conditions for the multicriteria spatial price problem

  10. Network Monitoring in Multicast Networks Using Network Coding

    E-Print Network [OSTI]

    Ho, Tracey

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

  11. Offshore Energy Knowledge Exchange Workshop Report

    SciTech Connect (OSTI)

    none,

    2012-04-12

    A report detailing the presentations and topics discussed at the Offshore Energy Knowledge Exchange Workshop, an event designed to bring together offshore energy industry representatives to share information, best practices, and lessons learned.

  12. Exploiting thesauri knowledge in medical guideline formalization

    E-Print Network [OSTI]

    ten Teije, Annette

    investigates whether medical knowledge acquired from several medical thesauri can be molded on a guideline program, under contract number IST-FP6- 508794 Protocure-II: www.protocure.org 2 Address: De Boelelaan

  13. Speech production knowledge in automatic speech recognition 

    E-Print Network [OSTI]

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

    2007-01-01

    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 ...

  14. 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

  15. 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

  16. 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

  17. QUASIINDEXICALS AND KNOWLEDGE REPORTS William J. Rapaport

    E-Print Network [OSTI]

    Krovi, Venkat

    . Our analysis solves a problem first observed by Hector­Neri Casta~neda, namely, that the simple rule se belief and knowledge reports. Our analysis solves a problem first observed by Hector­Neri Casta~neda

  18. Introduction to Network Analysis 1 Introduction to Network Analysis

    E-Print Network [OSTI]

    Safro, Ilya

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

  19. Entanglement Distribution in Optical Networks

    E-Print Network [OSTI]

    Alex Ciurana; Vicente Martin; Jesus Martinez-Mateo; Bernhard Schrenk; Momtchil Peev; Andreas Poppe

    2014-09-21

    The ability to generate entangled photon-pairs over a broad wavelength range opens the door to the simultaneous distribution of entanglement to multiple users in a network by using centralized sources and flexible wavelength-division multiplexing schemes. Here we show the design of a metropolitan optical network consisting of tree-type access networks whereby entangled photon-pairs are distributed to any pair of users, independent of their location. The network is constructed employing commercial off-the-shelf components and uses the existing infrastructure, which allows for moderate deployment costs. We further develop a channel plan and a network-architecture design to provide a direct optical path between any pair of users, thus allowing classical and one-way quantum communication as well as entanglement distribution. This allows the simultaneous operation of multiple quantum information technologies. Finally, we present a more flexible backbone architecture that pushes away the load limitations of the original network design by extending its reach, number of users and capabilities.

  20. SINR Diagrams: Convexity and its Applications in Wireless Networks

    E-Print Network [OSTI]

    SINR Diagrams: Convexity and its Applications in Wireless Networks Chen Avin Yuval Emek Erez Kantor and quality of connections in a wireless network are described by physical models such as the signal the behavior of wireless networks, and may play a key role in the development of suitable algorithms

  1. Generalized Graph Products for Network Design and Analysis

    E-Print Network [OSTI]

    Roughan, Matthew

    Generalized Graph Products for Network Design and Analysis Eric Parsonage, Hung X. Nguyen, Rhys--Network design, as it is currently practiced, involves putting devices together to create a network. However as a whole object. In this paper we develop generalized graph products that allow the mathematical design

  2. Neural Networks: Tricks of the Trade R. C. Dimitriu

    E-Print Network [OSTI]

    Cambridge, University of

    Neural Networks: Tricks of the Trade R. C. Dimitriu 1 Data The first thing necessary to make a reliable neural network model is good quality data which are physically meaningful. It is also necessary in selecting the kind of data used in developing the neural network. An assessment should be made

  3. Neural Networks and Fuzzy Systems for Nonlinear Applications

    E-Print Network [OSTI]

    Wilamowski, Bogdan Maciej

    Neural Networks and Fuzzy Systems for Nonlinear Applications Bogdan M. Wilamowski Director of with methods of computational intelligence such as neural networks and fuzzy systems. The problem such as neural networks and fuzzy systems. However, developments of neural or fuzzy systems are not trivial

  4. Snow Monitoring with Sensor Networks Thomas C. Henderson

    E-Print Network [OSTI]

    Henderson, Thomas C.

    Snow Monitoring with Sensor Networks Thomas C. Henderson School of Computing University of Utah in the construction of a smart sensor network to monitor snow conditions and help determine avalanche probability of deaths each year from avalanche or snow-related conditions, we are developing a network for deployment

  5. Wireless Network Capacity Management: A Real Options Approach

    E-Print Network [OSTI]

    Forsyth, Peter A.

    Wireless Network Capacity Management: A Real Options Approach Y. d'Halluin , P.A. Forsyth , and K factor algorithm is developed, based on a real options formulation. Numerical examples are provided to illustrate various aspects of the model. Keywords: real options, optimal network planning decisions, network

  6. EXPERT CONTROL BASED ON NEURAL NETWORKS FOR CONTROLLING

    E-Print Network [OSTI]

    neural units in artificial neural networks (ANN), artificial neural network was used to develop a model of temperature model. The design of the network structure and transfer function was also discussed. Because growth in greenhouse climate. Temperature exerted significant effects on photosynthesis. The net

  7. Chaotic time series prediction using artificial neural networks

    SciTech Connect (OSTI)

    Bartlett, E.B.

    1991-12-31

    This paper describes the use of artificial neural networks to model the complex oscillations defined by a chaotic Verhuist animal population dynamic. A predictive artificial neural network model is developed and tested, and results of computer simulations are given. These results show that the artificial neural network model predicts the chaotic time series with various initial conditions, growth parameters, or noise.

  8. Chaotic time series prediction using artificial neural networks

    SciTech Connect (OSTI)

    Bartlett, E.B.

    1991-01-01

    This paper describes the use of artificial neural networks to model the complex oscillations defined by a chaotic Verhuist animal population dynamic. A predictive artificial neural network model is developed and tested, and results of computer simulations are given. These results show that the artificial neural network model predicts the chaotic time series with various initial conditions, growth parameters, or noise.

  9. Production Performance Modeling Through Integration of Reservoir and Production Network with Asphaltene Deposition 

    E-Print Network [OSTI]

    Valbuena Olivares, Ernesto

    2015-05-05

    This study proposes the development of a new integrated reservoir-network compositional simulator with asphaltene modeling in production pipelines. Reservoir and network simulators are developed with a fully-implicit formulation, allowing stand...

  10. 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

  11. Network coding for robust wireless networks

    E-Print Network [OSTI]

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

    2012-01-01

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

  12. Energy aware network coding in wireless networks

    E-Print Network [OSTI]

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

    2012-01-01

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

  13. Advanced mobile networking, sensing, and controls.

    SciTech Connect (OSTI)

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

    2005-03-01

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

  14. Iterative Collision Resolution in Wireless Networks 

    E-Print Network [OSTI]

    Stuckman, Katherine Christine

    2013-03-29

    With the growing popularity of smart phones and tablets, development of multimedia applications is on the rise. Speedy transmission of this massive amount information is already pushing the limits of the capacity of wireless networks...

  15. Energy Management in Wireless Sensor Network Operations 

    E-Print Network [OSTI]

    Mohapatra, Arupa Kumar

    2013-07-26

    In this dissertation, we develop and analyze effective energy management policies for wireless sensor networks in emerging applications. Existing methods in this area have primarily focused on energy conservation through the use of various...

  16. Data Network Weather Service Reporting - Final Report

    SciTech Connect (OSTI)

    Michael Frey

    2012-08-30

    A final report is made of a three-year effort to develop a new forecasting paradigm for computer network performance. This effort was made in co-ordination with Fermi Lab's construction of e-Weather Center.

  17. Network protection with multiple availability guarantees

    E-Print Network [OSTI]

    Narula-Tam, Aradhana

    We develop a novel network protection scheme that provides guarantees on both the fraction of time a flow has full connectivity, as well as a quantifiable minimum grade of service during downtimes. In particular, a flow ...

  18. Solar-Powered Smart Wireless Camera Network for Outdoor Monitoring

    E-Print Network [OSTI]

    Abas, Kevin Mathys

    2015-01-01

    ZigbeeAlliance. The wireless zigbee standard specifications,2014. http:// zigbee.org/zigbee-for-developers/network-Sima Noghanian. Solar-powered zigbee-based wireless mo- tion

  19. A mesoscopic network model for permanent set in crosslinked elastomers...

    Office of Scientific and Technical Information (OSTI)

    model for permanent set in crosslinked elastomers A mesoscopic computational model for polymer networks and composites is developed as a coarse-grained representation of the...

  20. Tree-structured Data Regeneration with Network Coding in Distributed Storage Systems

    E-Print Network [OSTI]

    Li, Baochun

    Tree-structured Data Regeneration with Network Coding in Distributed Storage Systems Jun Li, Shuang of Toronto, Canada bli@eecg.toronto.edu Abstract--Distributed storage systems, built on peer-to-peer networks influence the data reliability and availability of distributed storage systems. It has been ac- knowledged

  1. Firm Internal Structures and Patent Co-inventor Networks Paper ID: 1437

    E-Print Network [OSTI]

    Lee, Dongwon

    Firm Internal Structures and Patent Co-inventor Networks Paper ID: 1437 ABSTRACT Studies about, to the best of our knowledge, is the first study that compares patent co-inventor network of firms from to identify the potential relationship between patent co-inventor characteristics and these firms' internal

  2. This book presents a data-rich case study across time of the Aydinli no-mads (Yrk) in Southeast Turkey. We use longitudinal network analy-

    E-Print Network [OSTI]

    White, Douglas R.

    ) in Southeast Turkey. We use longitudinal network analy- sis to develop theory and test ethnographic hypotheses

  3. Cooperative Wireless Network Behnaam Aazhang

    E-Print Network [OSTI]

    Aazhang, Behnaam

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

  4. Interconnection networks

    DOE Patents [OSTI]

    Faber, V.; Moore, J.W.

    1988-06-20

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

  5. 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

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

    SciTech Connect (OSTI)

    Harwood, Caroline S

    2012-12-17

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

  7. Assessing EC-4 preservice teachers' mathematics knowledge for teaching fractions concepts 

    E-Print Network [OSTI]

    Wright, Kimberly Boddie

    2008-10-10

    for development of preservice teachers’ subject matter knowledge. According to Ma (1999), teacher preparation programs are the point in a preservice teacher’s education where 15 “mathematical competence starts to be connected to a primary concern about... OF SCIENCE August 2008 Major Subject: Curriculum and Instruction ASSESSING EC-4 PRESERVICE TEACHERS’ MATHEMATICS KNOWLEDGE FOR TEACHING FRACTIONS CONCEPTS A Thesis by KIMBERLY BODDIE WRIGHT Submitted...

  8. The Path to Transforming Knowledge into Energy Projects: DOE...

    Office of Environmental Management (EM)

    The Path to Transforming Knowledge into Energy Projects: DOE Tribal Renewable Energy Webinar Series 2015 The Path to Transforming Knowledge into Energy Projects: DOE Tribal...

  9. Organizing Migrations: People and Knowledge Flows in the Global Economy

    E-Print Network [OSTI]

    Norlander, Peter D.

    2014-01-01

    politics and economics of offshore outsourc- ing,” JournalCarol, “Controlling offshore knowledge workers: Power andof advanced industries offshore by spreading knowledge and

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

    Open Energy Info (EERE)

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

  11. The Digital Road to Scientific Knowledge Diffusion; A Faster...

    Office of Scientific and Technical Information (OSTI)

    of knowledge. In particular, it is important to understand whether advances in Internet searching can speed up the diffusion of scientific knowledge and accelerate...

  12. 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

  13. Financial Networks Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

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

  14. Wireless networks for the developing world

    E-Print Network [OSTI]

    Neto, Maria Isabel A. S., 1974-

    2004-01-01

    As radio technologies and public policies evolve, an increasing amount of spectrum is being set aside for transmission use without a license. These license-exempt, or "unlicensed" bands, include 2.4 GHz and 5 GHz in the ...

  15. SENSEnet -ANESIS International sensor development network

    E-Print Network [OSTI]

    in the atmosphere and thus exert a powerful influence on the climate. Many factors can influence carbon cycle (as off Peru, Chile or Namibia) where ultra low concentrations are observed. In order to decrease

  16. Networking and Information Technology Research and Development...

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

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

  17. A Twostep Statistical Approach for Inferring Network Traffic Demands #

    E-Print Network [OSTI]

    A Two­step Statistical Approach for Inferring Network Traffic Demands # A. Medina 1 , K. Salamatian knowledge of traffic demands in a communication net­ work enables or enhances a variety of traffic measuring a complete set of these demands is prohibitively expensive because of the huge amounts of data

  18. Systemic risk analysis in reconstructed economic and financial networks

    E-Print Network [OSTI]

    Cimini, Giulio; Gabrielli, Andrea; Garlaschelli, Diego

    2014-01-01

    The assessment of fundamental properties for economic and financial systems, such as systemic risk, is systematically hindered by privacy issues$-$that put severe limitations on the available information. Here we introduce a novel method to reconstruct partially-accessible networked systems of this kind. The method is based on the knowledge of the fitnesses, $i.e.$, intrinsic node-specific properties, and of the number of connections of only a limited subset of nodes. Such information is used to calibrate a directed configuration model which can generate ensembles of networks intended to represent the real system, so that the real network properties can be estimated within the generated ensemble in terms of mean values of the observables. Here we focus on estimating those properties that are commonly used to measure the network resilience to shock and crashes. Tests on both artificial and empirical networks shows that the method is remarkably robust with respect to the limitedness of the information available...

  19. Separating the Knowledge Layers: Cognitive Analysis of Search Knowledge Through Hierarchical Goal Decompositions

    E-Print Network [OSTI]

    Bhavnani, Suresh K.

    of library and information science (LIS) should equally benefit by the use of analysis methods that require1 Separating the Knowledge Layers: Cognitive Analysis of Search Knowledge Through Hierarchical Goal. This analysis method progressively decomposes a given task starting from the task layer on the top

  20. A Certifying Compiler for Zero-Knowledge Proofs of Knowledge Based on -Protocols

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    A Certifying Compiler for Zero-Knowledge Proofs of Knowledge Based on -Protocols (Full Version) Jos present a comprehensive spec- ification language and a certifying compiler for ZK-PoK protocols based on -protocols and composition techniques known in literature. The compiler allows the fully automatic

  1. The Oil and Natural Gas Knowledge Management Database from NETL

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

    The Knowledge Management Database (KMD) Portal provides four options for searching the documents and data that NETL-managed oil and gas research has produced over the years for DOE’s Office of Fossil Energy. Information includes R&D carried out under both historical and ongoing DOE oil and gas research and development (R&D). The Document Repository, the CD/DVD Library, the Project Summaries from 1990 to the present, and the Oil and Natural Gas Program Reference Shelf provide a wide range of flexibility and coverage.

  2. Anomaly Detection in Dynamic Networks

    SciTech Connect (OSTI)

    Turcotte, Melissa

    2014-10-14

    Anomaly detection in dynamic communication networks has many important security applications. These networks can be extremely large and so detecting any changes in their structure can be computationally challenging; hence, computationally fast, parallelisable methods for monitoring the network are paramount. For this reason the methods presented here use independent node and edge based models to detect locally anomalous substructures within communication networks. As a first stage, the aim is to detect changes in the data streams arising from node or edge communications. Throughout the thesis simple, conjugate Bayesian models for counting processes are used to model these data streams. A second stage of analysis can then be performed on a much reduced subset of the network comprising nodes and edges which have been identified as potentially anomalous in the first stage. The first method assumes communications in a network arise from an inhomogeneous Poisson process with piecewise constant intensity. Anomaly detection is then treated as a changepoint problem on the intensities. The changepoint model is extended to incorporate seasonal behavior inherent in communication networks. This seasonal behavior is also viewed as a changepoint problem acting on a piecewise constant Poisson process. In a static time frame, inference is made on this extended model via a Gibbs sampling strategy. In a sequential time frame, where the data arrive as a stream, a novel, fast Sequential Monte Carlo (SMC) algorithm is introduced to sample from the sequence of posterior distributions of the change points over time. A second method is considered for monitoring communications in a large scale computer network. The usage patterns in these types of networks are very bursty in nature and don’t fit a Poisson process model. For tractable inference, discrete time models are considered, where the data are aggregated into discrete time periods and probability models are fitted to the communication counts. In a sequential analysis, anomalous behavior is then identified from outlying behavior with respect to the fitted predictive probability models. Seasonality is again incorporated into the model and is treated as a changepoint model on the transition probabilities of a discrete time Markov process. Second stage analytics are then developed which combine anomalous edges to identify anomalous substructures in the network.

  3. Design and Implementation of a Network Interface for a Multi-Channel

    E-Print Network [OSTI]

    Jantsch, Axel

    developed for the Network Interface (NI) for handling multichannel circuit switched NoC. A flexible read. The flexible design in both NI and NoC (in terms of different dimensions of row and column of the network, throughputs of both the one network and two networks have been monitored, determining the area and power

  4. A knowledge continuity management program for the energy, infrastructure and knowledge systems center, Sandia National Laboratories.

    SciTech Connect (OSTI)

    Menicucci, David F.

    2006-07-01

    A growing recognition exists in companies worldwide that, when employees leave, they take with them valuable knowledge that is difficult and expensive to recreate. The concern is now particularly acute as the large ''baby boomer'' generation is reaching retirement age. A new field of science, Knowledge Continuity Management (KCM), is designed to capture and catalog the acquired knowledge and wisdom from experience of these employees before they leave. The KCM concept is in the final stages of being adopted by the Energy, Infrastructure, and Knowledge Systems Center and a program is being applied that should produce significant annual cost savings. This report discusses how the Center can use KCM to mitigate knowledge loss from employee departures, including a concise description of a proposed plan tailored to the Center's specific needs and resources.

  5. 5x20 Matrix for Knowledge Management Lifecycle Based on the Five C's Model and a Critical Review

    E-Print Network [OSTI]

    5x20 Matrix for Knowledge Management Lifecycle Based on the Five C's Model and a Critical Review, share, transfer and apply knowledge. This paper concludes by suggesting a matrix in a bid to comparing and processes. The paper concludes with developing a 5x20 matrix that elucidate how the five C's model

  6. Reputational Learning and Network Dynamics

    E-Print Network [OSTI]

    Zhang, Simpson

    2015-01-01

    In many real world networks agents are initially unsure of each other's qualities and learn about each other over time via repeated interactions. This paper is the first to provide a methodology for studying the formation of such networks, taking into account that agents differ from each other, that they begin with incomplete information, and that they must learn through observations which connections/links to form and which to break. The network dynamics in our model vary drastically from the dynamics emerging in models of complete information. With incomplete information and learning, agents who provide high benefits will develop high reputations and remain in the network, while agents who provide low benefits will drop in reputation and become ostracized. We show, among many other things, that the information to which agents have access and the speed at which they learn and act can have tremendous impact on the resulting network dynamics. Using our model, we can also compute the \\textit{ex ante} social wel...

  7. Southwestern Ontario Medical Education Network Southwestern Ontario Medical Education Network

    E-Print Network [OSTI]

    Lennard, William N.

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

  8. Quantitative assessment of biological impact using transcriptomic data and mechanistic network models

    SciTech Connect (OSTI)

    Thomson, Ty M. [Selventa, One Alewife Center, Cambridge, MA 02140 (United States); Sewer, Alain, E-mail: Alain.Sewer@pmi.com [Philip Morris International R and D, Philip Morris Products S.A., Quai Jeanrenaud 5, 2000 Neuchâtel (Switzerland); Martin, Florian; Belcastro, Vincenzo [Philip Morris International R and D, Philip Morris Products S.A., Quai Jeanrenaud 5, 2000 Neuchâtel (Switzerland); Frushour, Brian P. [Selventa, One Alewife Center, Cambridge, MA 02140 (United States); Gebel, Stephan [Philip Morris International R and D, Philip Morris Research Laboratories GmbH, Edmund-Rumpler-Strasse 5, 51149 Koeln (Germany); Park, Jennifer [Selventa, One Alewife Center, Cambridge, MA 02140 (United States); Schlage, Walter K. [Philip Morris International R and D, Philip Morris Research Laboratories GmbH, Edmund-Rumpler-Strasse 5, 51149 Koeln (Germany); Talikka, Marja [Philip Morris International R and D, Philip Morris Products S.A., Quai Jeanrenaud 5, 2000 Neuchâtel (Switzerland); Vasilyev, Dmitry M.; Westra, Jurjen W. [Selventa, One Alewife Center, Cambridge, MA 02140 (United States); Hoeng, Julia; Peitsch, Manuel C. [Philip Morris International R and D, Philip Morris Products S.A., Quai Jeanrenaud 5, 2000 Neuchâtel (Switzerland)

    2013-11-01

    Exposure to biologically active substances such as therapeutic drugs or environmental toxicants can impact biological systems at various levels, affecting individual molecules, signaling pathways, and overall cellular processes. The ability to derive mechanistic insights from the resulting system responses requires the integration of experimental measures with a priori knowledge about the system and the interacting molecules therein. We developed a novel systems biology-based methodology that leverages mechanistic network models and transcriptomic data to quantitatively assess the biological impact of exposures to active substances. Hierarchically organized network models were first constructed to provide a coherent framework for investigating the impact of exposures at the molecular, pathway and process levels. We then validated our methodology using novel and previously published experiments. For both in vitro systems with simple exposure and in vivo systems with complex exposures, our methodology was able to recapitulate known biological responses matching expected or measured phenotypes. In addition, the quantitative results were in agreement with experimental endpoint data for many of the mechanistic effects that were assessed, providing further objective confirmation of the approach. We conclude that our methodology evaluates the biological impact of exposures in an objective, systematic, and quantifiable manner, enabling the computation of a systems-wide and pan-mechanistic biological impact measure for a given active substance or mixture. Our results suggest that various fields of human disease research, from drug development to consumer product testing and environmental impact analysis, could benefit from using this methodology. - Highlights: • The impact of biologically active substances is quantified at multiple levels. • The systems-level impact integrates the perturbations of individual networks. • The networks capture the relationships between the biological mechanisms. • Four exposure experiments have been assessed to validate the methodology. • The impact results were consistent with the corresponding phenotypic measures.

  9. 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

  10. Integrating Soil Ecological Knowledge into Restoration Management

    E-Print Network [OSTI]

    Pavao-Zuckerman, Mitchell

    Integrating Soil Ecological Knowledge into Restoration Management Liam Heneghan,1,2 Susan P. Miller that lead to restoration success. The discipline of soil ecology, which emphasizes both soil organisms the outcomes of restoration despite this variability. Here, we propose that the usefulness of this soil

  11. Comprehensible Knowledge Discovery: Gaining Insight from Data

    E-Print Network [OSTI]

    Pazzani, Michael J.

    and provide advice on how to reduce the likelihood of getting a certain disease. Analysis of a political to France, unless France ceased nuclear testing in the South Pacific. France paid a higher price to buy was identified. Most data mining systems cannot be given knowledge of economic and politics and are forced

  12. SIMULATING PEDESTRIAN ROUTE SELECTION WITH IMPERFECT KNOWLEDGE

    E-Print Network [OSTI]

    Allan, Vicki H.

    SIMULATING PEDESTRIAN ROUTE SELECTION WITH IMPERFECT KNOWLEDGE Keywords: Multi-Agent Systems:Pedestrian choices allows pedestrians to make decisions in a timely and efficient manner. The heuristic function used of the pedestrian. We implement several common heuristic functions using the PLEASE simulation model and allow

  13. SIMULATING KNOWLEDGE AND INFORMATION IN PEDESTRIAN EGRESS

    E-Print Network [OSTI]

    Allan, Vicki H.

    SIMULATING KNOWLEDGE AND INFORMATION IN PEDESTRIAN EGRESS Kyle Feuz1,2 and Vicki Allan3 1Masters.allan@usu.edu Keywords: Reinforcement-Learning:Pedestrian Simulation:Egress Assistance:Congestion:Multi-Agent Systems Abstract: Accurate pedestrian simulation is a difficult yet important task. One of the main challenges

  14. Searching For Unlawful Carnal Knowledge Leif Azzopardi

    E-Print Network [OSTI]

    Azzopardi, Leif

    ]. When it comes to searching the web, numerous query log studies have shown that query terms relatedSearching For Unlawful Carnal Knowledge Leif Azzopardi School of Computing Science, University of Glasgow Glasgow, United Kingdom Leif.Azzopardi@glasgow.ac.uk ABSTRACT Search engines are often used

  15. 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

  16. 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

  17. Towards a Europe of Knowledge and

    E-Print Network [OSTI]

    Madsen, Claus

    Towards a Europe of Knowledge and Innovation World-class research as the centrepiece;Foreword The EIROforum Vision for Science and Europe I am proud that the European Space Agency currently holds the chair of the EIROforum, the partnership comprising Europe's seven intergovernmental re- search

  18. Technology transfer at CERN a study on inter-organizational knowledge transfer within multi-national R&D collaborations

    E-Print Network [OSTI]

    Huuse, H; Streit-Bianchi, M

    2004-01-01

    This study focus on the knowledge aspect of inter-organizational technology transfer projects. We have studied two large R&D collaborations where CERN is involved as one of several participating organizations, in order to reveal the causalities related to the knowledge transfer processes within these projects. The objective of the study is to understand how knowledge transfer happens, identify influencing factors to the process, and finally investigate the outcome of such processes. The study is founded on a thorough literature review where we examine different aspects of inter-organizational knowledge transfer. Based on the theory, we develop an analytic framework and establish different elements in the knowledge transfer process to study in more detail. This framework illustrates the relation between the different elements in a knowledge transfer process and provides the structure for our empirical foundation. We perform an explanatory embedded multiple case study and analyze our findings in terms of th...

  19. Stochastic thermodynamics of chemical reaction networks

    E-Print Network [OSTI]

    Tim Schmiedl; Udo Seifert

    2006-12-19

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

  20. On computer vision in wireless sensor networks.

    SciTech Connect (OSTI)

    Berry, Nina M.; Ko, Teresa H.

    2004-09-01

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

  1. KnowledgeAssetManagementMentzasApostolou AbeckerYoung

    E-Print Network [OSTI]

    Chen-Burger, Yun-Heh (Jessica)

    123 KnowledgeAssetManagementMentzas·Apostolou Abecker·Young Gregoris Mentzas Dimitris Apostolou Knowledge Asset Management There are two main approaches to knowledge management (KM): · the process Asset Management presents a knowledge asset-centric approach, which fuses the previous two approaches

  2. 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

  3. 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

  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 Management at the Fast Flux Test Facility

    SciTech Connect (OSTI)

    Wootan, David W.; Omberg, Ronald P.

    2013-06-01

    One of the goals of the Department of Energy’s Office of Nuclear Energy, initiated under the Fuel Cycle Research and Development Program (FCRD) and continued under the Advanced Reactor Concepts Program (ARC) is to preserve the knowledge that has been gained in the United States on Liquid Metal Reactors (LMRs) that could support the development of an environmentally and economically sound nuclear fuel cycle. The Fast Flux Test Facility (FFTF) is the most recent LMR to operate in the United States, from 1982 to 1992, and was designed as a fully instrumented test reactor with on-line, real time test control and performance monitoring of components and tests installed in the reactor. The 10 years of operation of the FFTF provided a very useful framework for testing the advances in LMR safety technology based on passive safety features that may be of increased importance to new designs after the events at Fukushima. Knowledge preservation at the FFTF is focused on the areas of design, construction, and startup of the reactor, as well as on preserving information obtained from 10 years of successful operating history and extensive irradiation testing of fuels and materials. In order to ensure protection of information at risk, the program to date has sequestered reports, files, tapes, and drawings to allow for secure retrieval. The FFTF knowledge management program includes a disciplined and orderly approach to respond to client’s requests for documents and data in order to minimize the search effort and ensure that future requests for this information can be readily accommodated.

  6. Increased network efficiency for variable rate video streams in an Integrated Services Packet Network environment 

    E-Print Network [OSTI]

    Schroeder, Charles Grant

    1996-01-01

    Due to the needs of real-time, bandwidth intensive applications like videoconferencing, several resource reservation infrastructures like the Integrated Services Packet Network (ISPN) are currently being developed. These ...

  7. Processing large sensor data sets for safeguards : the knowledge generation system.

    SciTech Connect (OSTI)

    Thomas, Maikel A.; Smartt, Heidi Anne; Matthews, Robert F.

    2012-04-01

    Modern nuclear facilities, such as reprocessing plants, present inspectors with significant challenges due in part to the sheer amount of equipment that must be safeguarded. The Sandia-developed and patented Knowledge Generation system was designed to automatically analyze large amounts of safeguards data to identify anomalous events of interest by comparing sensor readings with those expected from a process of interest and operator declarations. This paper describes a demonstration of the Knowledge Generation system using simulated accountability tank sensor data to represent part of a reprocessing plant. The demonstration indicated that Knowledge Generation has the potential to address several problems critical to the future of safeguards. It could be extended to facilitate remote inspections and trigger random inspections. Knowledge Generation could analyze data to establish trust hierarchies, to facilitate safeguards use of operator-owned sensors.

  8. Implementation Plan for the Office of Nuclear Energy Knowledge Management Program

    SciTech Connect (OSTI)

    Kimberlyn C. Mousseau

    2011-12-01

    The primary purpose of the Department of Energy (DOE), Office of Nuclear Energy (NE) Knowledge Management (KM) Program is to capture, share, disseminate, and ensure the ability to apply the knowledge created by the major nuclear energy Research and Development (R&D) programs. In support of the KM program, the Implementation Plan for the Office of NE KM Program outlines the knowledge management and distributed data environment that is required for its success. In addition to enumerating some strategic goals and objectives, this document characterizes the initial program and identifies computer-based areas of investment required for increased knowledge sharing and collaboration. It identifies and addresses investments already in existence and describes how these investments can be further enhanced and implemented to support a distributed KM program. The Idaho National Laboratory (INL) is leading the effort to identify and address these investments through the implementation of a distributed KM program that includes participants from ten of the major DOE national laboratories.

  9. PERCEPTUAL KNOWLEDGE CONSTRUCTION FROM ANNOTATED IMAGE COLLECTIONS

    E-Print Network [OSTI]

    Chang, Shih-Fu

    approaches [10][11], and joint visual- text clustering and retrieval approaches [1][7]. The Texture Thesaurus is a perceptual thesaurus limited to texture clusters constructed using neural network and vector quantization techniques [10]. The Visual Thesaurus considers and adapts several kinds of visual concepts and visual

  10. 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

  11. 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

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

    E-Print Network [OSTI]

    Sun, Yu

    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

  13. SMPL : a network architecture for collaborative distributed services

    E-Print Network [OSTI]

    Rocha, Carols A. (Carlos Andres Rocha Penagos)

    2005-01-01

    This thesis proposes a network architecture, called SMPL, for the design and development of collaboration-oriented, distributed applications over the Internet. The goal of SMPL is to enable the development of applications ...

  14. ENDE: an End-to-end Network Delay Emulator 

    E-Print Network [OSTI]

    Yeom, Ik-Jun

    1998-01-01

    The Internet provides a common interface between ographics. different types of computers and networks, and various applications and protocols are constantly being developed. A new protocol or application after being developed has to be tested...

  15. An examination of the perceived need and recommended body of knowledge for architectural internship programs in Kuwait 

    E-Print Network [OSTI]

    Abdullah, Mohammad

    2007-09-17

    This study stresses and reflects a professional concern for the state of architecture in Kuwait, with a specific emphasis on the development of competence of architectural students and recent graduates on professional knowledge areas...

  16. Structure and inference in annotated networks

    E-Print Network [OSTI]

    Newman, M E J

    2015-01-01

    For many networks of scientific interest we know both the connections of the network and information about the network nodes, such as the age or gender of individuals in a social network, geographic location of nodes in the Internet, or cellular function of nodes in a gene regulatory network. Here we demonstrate how this "metadata" can be used to improve our analysis and understanding of network structure. We focus in particular on the problem of community detection in networks and develop a mathematically principled approach that combines a network and its metadata to detect communities more accurately than can be done with either alone. Crucially, the method does not assume that the metadata are correlated with the communities we are trying to find. Instead the method learns whether a correlation exists and correctly uses or ignores the metadata depending on whether they contain useful information. The learned correlations are also of interest in their own right, allowing us to make predictions about the co...

  17. Analysis of complex networks using aggressive abstraction.

    SciTech Connect (OSTI)

    Colbaugh, Richard; Glass, Kristin.; Willard, Gerald

    2008-10-01

    This paper presents a new methodology for analyzing complex networks in which the network of interest is first abstracted to a much simpler (but equivalent) representation, the required analysis is performed using the abstraction, and analytic conclusions are then mapped back to the original network and interpreted there. We begin by identifying a broad and important class of complex networks which admit abstractions that are simultaneously dramatically simplifying and property preserving - we call these aggressive abstractions -- and which can therefore be analyzed using the proposed approach. We then introduce and develop two forms of aggressive abstraction: 1.) finite state abstraction, in which dynamical networks with uncountable state spaces are modeled using finite state systems, and 2.) onedimensional abstraction, whereby high dimensional network dynamics are captured in a meaningful way using a single scalar variable. In each case, the property preserving nature of the abstraction process is rigorously established and efficient algorithms are presented for computing the abstraction. The considerable potential of the proposed approach to complex networks analysis is illustrated through case studies involving vulnerability analysis of technological networks and predictive analysis for social processes.

  18. Vulnerability Analysis of Complex Networks from Transportation Networks to

    E-Print Network [OSTI]

    Nagurney, Anna

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

  19. Knowledge and abilities catalog for nuclear power plant operators: Pressurized water reactors. Revision 1

    SciTech Connect (OSTI)

    1995-08-01

    This document provides the basis for the development of content-valid licensing examinations for reactor operators and senior reactor operators. The examinations developed using the PWR catalog will cover those topics listed under Title 10, (ode of Federal Regulations Part 55. The PWR catalog contains approximately 5100 knowledge and ability (K/A) statements for reactor operators and senior reactor operators. The catalog is organized into six major sections: Catalog Organization; Generic Knowledge and Abilities; Plant Systems; Emergency and Abnormal Plant Evolutions; Components and Theory.

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

    SciTech Connect (OSTI)

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

    2012-04-01

    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.

  1. EM-21 Retrieval Knowledge Center: Waste Retrieval Challenges

    SciTech Connect (OSTI)

    Fellinger, Andrew P.; Rinker, Michael W.; Berglin, Eric J.; Minichan, Richard L.; Poirier, Micheal R.; Gauglitz, Phillip A.; Martin, Bruce A.; Hatchell, Brian K.; Saldivar, Eloy; Mullen, O Dennis; Chapman, Noel F.; Wells, Beric E.; Gibbons, Peter W.

    2009-04-10

    EM-21 is the Waste Processing Division of the Office of Engineering and Technology, within the U.S. Department of Energy’s (DOE) Office of Environmental Management (EM). In August of 2008, EM-21 began an initiative to develop a Retrieval Knowledge Center (RKC) to provide the DOE, high level waste retrieval operators, and technology developers with centralized and focused location to share knowledge and expertise that will be used to address retrieval challenges across the DOE complex. The RKC is also designed to facilitate information sharing across the DOE Waste Site Complex through workshops, and a searchable database of waste retrieval technology information. The database may be used to research effective technology approaches for specific retrieval tasks and to take advantage of the lessons learned from previous operations. It is also expected to be effective for remaining current with state-of-the-art of retrieval technologies and ongoing development within the DOE Complex. To encourage collaboration of DOE sites with waste retrieval issues, the RKC team is co-led by the Savannah River National Laboratory (SRNL) and the Pacific Northwest National Laboratory (PNNL). Two RKC workshops were held in the Fall of 2008. The purpose of these workshops was to define top level waste retrieval functional areas, exchange lessons learned, and develop a path forward to support a strategic business plan focused on technology needs for retrieval. The primary participants involved in these workshops included retrieval personnel and laboratory staff that are associated with Hanford and Savannah River Sites since the majority of remaining DOE waste tanks are located at these sites. This report summarizes and documents the results of the initial RKC workshops. Technology challenges identified from these workshops and presented here are expected to be a key component to defining future RKC-directed tasks designed to facilitate tank waste retrieval solutions.

  2. Prediction of Emerging Technologies Based on Analysis of the U.S. Patent Citation Network

    E-Print Network [OSTI]

    Érdi, Péter; Somogyvári, Zoltán; Strandburg, Katherine; Tobochnik, Jan; Volf, Péter; Zalányi, László

    2012-01-01

    The network of patents connected by citations is an evolving graph, which provides a representation of the innovation process. A patent citing another implies that the cited patent reflects a piece of previously existing knowledge that the citing patent builds upon. A methodology presented here (i) identifies actual clusters of patents: i.e. technological branches, and (ii) gives predictions about the temporal changes of the structure of the clusters. A predictor, called the {citation vector}, is defined for characterizing technological development to show how a patent cited by other patents belongs to various industrial fields. The clustering technique adopted is able to detect the new emerging recombinations, and predicts emerging new technology clusters. The predictive ability of our new method is illustrated on the example of USPTO subcategory 11, Agriculture, Food, Textiles. A cluster of patents is determined based on citation data up to 1991, which shows significant overlap of the class 442 formed at th...

  3. Leadership Development Readings

    Broader source: Energy.gov [DOE]

    The Leadership Development Readings is a comprehensive list of more than 700 ECQ-related leadership readings organized by ECQ intended to assist all current and aspiring government leaders’ efforts to broaden their organizational and management experience and expand their knowledge in the five Executive Core Qualifications as well as Fundamental Competencies.

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

    E-Print Network [OSTI]

    Wilamowski, Bogdan Maciej

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

  5. Cooperation Incentives for Wireless Networks

    E-Print Network [OSTI]

    Wu, Chuchu

    2015-01-01

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

  6. Representing Genetic Networks as Labeled Hybrid Petri Nets for State Space Exploration and Markov Chain Analysis

    E-Print Network [OSTI]

    Myers, Chris J.

    Representing Genetic Networks as Labeled Hybrid Petri Nets for State Space Exploration and Markov is to develop a way to convert genetic networks into logical models. Once this is done, finding the state graph into the reachability of the states in the original network. Therefore, the second goal of this project is to develop

  7. SYSTEM APPROACH-BASED BAYESIAN NETWORK TO AID MAINTENANCE OF MANUFACTURING PROCESS

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    for manufacturing systems. In addition, recent works on system safety and Bayesian Networks (BNs) are developedSYSTEM APPROACH-BASED BAYESIAN NETWORK TO AID MAINTENANCE OF MANUFACTURING PROCESS Weber P., Suhner explores a new methodology to develop Bayesian Network-based diagnosis and prognosis aids for manufacturing

  8. High Performance Datacenter Networks

    E-Print Network [OSTI]

    Cortes, Corinna

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

  9. Class network routing

    DOE Patents [OSTI]

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

    2009-09-08

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

  10. Rooftop Unit Network Project

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

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

  11. Financial Networks Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

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

  12. Network coded wireless architecture

    E-Print Network [OSTI]

    Katti, Sachin Rajsekhar

    2008-01-01

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

  13. A Semiautomated Framework for Integrating Expert Knowledge into Disease Marker Identification

    SciTech Connect (OSTI)

    Wang, Jing; Webb-Robertson, Bobbie-Jo M.; Matzke, Melissa M.; Varnum, Susan M.; Brown, Joseph N.; Riensche, Roderick M.; Adkins, Joshua N.; Jacobs, Jon M.; Hoidal, John R.; Scholand, Mary Beth; Pounds, Joel G.; Blackburn, Michael R.; Rodland, Karin D.; McDermott, Jason E.

    2013-10-01

    Background. The availability of large complex data sets generated by high throughput technologies has enabled the recent proliferation of disease biomarker studies. However, a recurring problem in deriving biological information from large data sets is how to best incorporate expert knowledge into the biomarker selection process. Objective. To develop a generalizable framework that can incorporate expert knowledge into data-driven processes in a semiautomated way while providing a metric for optimization in a biomarker selection scheme. Methods. The framework was implemented as a pipeline consisting of five components for the identification of signatures from integrated clustering (ISIC). Expert knowledge was integrated into the biomarker identification process using the combination of two distinct approaches; a distance-based clustering approach and an expert knowledge-driven functional selection. Results. The utility of the developed framework ISIC was demonstrated on proteomics data from a study of chronic obstructive pulmonary disease (COPD). Biomarker candidates were identified in a mouse model using ISIC and validated in a study of a human cohort. Conclusions. Expert knowledge can be introduced into a biomarker discovery process in different ways to enhance the robustness of selected marker candidates. Developing strategies for extracting orthogonal and robust features from large data sets increases the chances of success in biomarker identification.

  14. A Semiautomated Framework for Integrating Expert Knowledge into Disease Marker Identification

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

    Wang, Jing; Webb-Robertson, Bobbie-Jo M.; Matzke, Melissa M.; Varnum, Susan M.; Brown, Joseph N.; Riensche, Roderick M.; Adkins, Joshua N.; Jacobs, Jon M.; Hoidal, John R.; Scholand, Mary Beth; et al

    2013-01-01

    Background . The availability of large complex data sets generated by high throughput technologies has enabled the recent proliferation of disease biomarker studies. However, a recurring problem in deriving biological information from large data sets is how to best incorporate expert knowledge into the biomarker selection process. Objective . To develop a generalizable framework that can incorporate expert knowledge into data-driven processes in a semiautomated way while providing a metric for optimization in a biomarker selection scheme. Methods . The framework was implemented as a pipeline consisting of five components for the identification of signatures from integrated clustering (ISIC).more »Expert knowledge was integrated into the biomarker identification process using the combination of two distinct approaches; a distance-based clustering approach and an expert knowledge-driven functional selection. Results . The utility of the developed framework ISIC was demonstrated on proteomics data from a study of chronic obstructive pulmonary disease (COPD). Biomarker candidates were identified in a mouse model using ISIC and validated in a study of a human cohort. Conclusions . Expert knowledge can be introduced into a biomarker discovery process in different ways to enhance the robustness of selected marker candidates. Developing strategies for extracting orthogonal and robust features from large data sets increases the chances of success in biomarker identification. « less

  15. Mobile Networks and Applications

    E-Print Network [OSTI]

    Chen, Min

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

  16. Multilevel method for modeling large-scale networks.

    SciTech Connect (OSTI)

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

    2012-02-24

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

  17. Scalable Networking for Cloud Datacenters

    E-Print Network [OSTI]

    CERN. Geneva

    2010-01-01

    Andy will discuss the architectural evolution of Ethernet networks and switch architectures as they are being designed to address much larger cloud networking applications that require predictable throughput and latency.About the speakerAs Chief Development Officer, Andy Bechtolsheim is responsible for the overall product development and technical direction of Arista Networks.Previously Andy was a Founder and Chief System Architect at Sun Microsystems, where most recently he was responsible for industry standard server architecture. Andy was also a Founder and President of Granite Systems, a Gigabit Ethernet startup acquired by Cisco Systems in 1996. From 1996 until 2003 Andy served as VP/GM of the Gigabit Systems Business Unit at Cisco that developed the very successful Catalyst 4500 family of switches. Andy was also a Founder and President of Kealia, a next generation server company acquired by Sun in 2004.Andy received an M.S. in Computer Engineering from Carnegie Mellon University in 1976 and was a Ph.D. ...

  18. Metallic nanowire networks

    DOE Patents [OSTI]

    Song, Yujiang; Shelnutt, John A.

    2012-11-06

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

  19. IEEE/ACM TRANSACTIONS ON NETWORKING, VOL. 10, NO. 4, AUGUST 2002 579 Managing Capacity for Telecommunications

    E-Print Network [OSTI]

    Papadopouli, Maria

    revenues. We study the underlying risk factor in the bandwidth market and then apply real options theory. To the best of our knowledge, this real options approach has not been used previously in the area of network. Index Terms--Network planning, real options, uncertain demand for capacity. I. INTRODUCTION IN THE PAST

  20. Failure to deactivate the default mode network indicates a possible endophenotype of autism

    E-Print Network [OSTI]

    Spencer, Michael D.; Chura, Lindsay R.; Holt, Rosemary J.; Suckling, John; Calder, Andrew J.; Bullmore, Edward T.; Baron-Cohen, Simon

    2012-12-03

    Abstract Background Reduced activity during cognitively demanding tasks has been reported in the default mode network in typically developing controls and individuals with autism. However, no study has investigated the default mode network (DMN...

  1. Simulation and optimization tools to study design principles of biological networks

    E-Print Network [OSTI]

    Adiwijaya, Bambang Senoaji

    2006-01-01

    Recent studies have developed preliminary wiring diagrams for a number of important biological networks. However, the design principles governing the construction and operation of these networks remain mostly unknown. To ...

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

    E-Print Network [OSTI]

    Lin, Hui 1981-

    2010-11-11

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

  3. Representing liquid-vapor equilibria of Ternary systems using neural networks

    E-Print Network [OSTI]

    Swisher, Mathew M

    2015-01-01

    We develop a method based on neural networks for efficiently interpolating equations of state (EOS) for liquid-vapor equilibria of ternary mixtures. We investigate the performance of neural networks both when experimental ...

  4. Adaptive Sampling for Estimating a Scalar Field using a Robotic Boat and a Sensor Network

    E-Print Network [OSTI]

    Zhang, Bin; Sukhatme, Gaurav

    2007-01-01

    and development of a wireless robotic networked aquatica Scalar Field using a Robotic Boat and a Sensor Network Binvalidated the algorithm on a robotic boat and a system of

  5. Methods and Analysis for Recovery Logistics Networks with Uncertainty and Channel Selection Considerations 

    E-Print Network [OSTI]

    Hwang, Sung Ook

    2014-12-12

    In this dissertation, we develop models and methodologies for effective design and efficient operation of product recovery logistics networks. Recovery networks, employed for recycle-reuse-refurbish-remanufacture purposes, constitute an ever...

  6. Real-time detection of malicious network activity using stochastic models

    E-Print Network [OSTI]

    Jung, Jaeyeon, Ph. D. Massachusetts Institute of Technology

    2006-01-01

    This dissertation develops approaches to rapidly detect malicious network traffic including packets sent by portscanners and network worms. The main hypothesis is that stochastic models capturing a host's particular ...

  7. Organization of growing random networks

    SciTech Connect (OSTI)

    Krapivsky, P. L.; Redner, S.

    2001-06-01

    The organizational development of growing random networks is investigated. These growing networks are built by adding nodes successively, and linking each to an earlier node of degree k with an attachment probability A{sub k}. When A{sub k} grows more slowly than linearly with k, the number of nodes with k links, N{sub k}(t), decays faster than a power law in k, while for A{sub k} growing faster than linearly in k, a single node emerges which connects to nearly all other nodes. When A{sub k} is asymptotically linear, N{sub k}(t){similar_to}tk{sup {minus}{nu}}, with {nu} dependent on details of the attachment probability, but in the range 2{lt}{nu}{lt}{infinity}. The combined age and degree distribution of nodes shows that old nodes typically have a large degree. There is also a significant correlation in the degrees of neighboring nodes, so that nodes of similar degree are more likely to be connected. The size distributions of the in and out components of the network with respect to a given node{emdash}namely, its {open_quotes}descendants{close_quotes} and {open_quotes}ancestors{close_quotes}{emdash}are also determined. The in component exhibits a robust s{sup {minus}2} power-law tail, where s is the component size. The out component has a typical size of order lnt, and it provides basic insights into the genealogy of the network.

  8. 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

  9. Network Characterization Service (NCS)

    SciTech Connect (OSTI)

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

    2001-06-06

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

  10. A mechanism for switching near a heteroclinic network

    E-Print Network [OSTI]

    Vivien Kirk; Emily Lane; Claire M. Postlethwaite; Alastair M. Rucklidge; Mary Silber

    2009-11-30

    We describe an example of a structurally stable heteroclinic network for which nearby orbits exhibit irregular but sustained switching between the various sub-cycles in the network. The mechanism for switching is the presence of spiralling due to complex eigenvalues in the flow linearised about one of the equilibria common to all cycles in the network. We construct and use return maps to investigate the asymptotic stability of the network, and show that switching is ubiquitous near the network. Some of the unstable manifolds involved in the network are two-dimensional; we develop a technique to account for all trajectories on those manifolds. A simple numerical example illustrates the rich dynamics that can result from the interplay between the various cycles in the network.

  11. Controlling synchronization in large laser networks using number theory

    E-Print Network [OSTI]

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

    2011-12-18

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

  12. The Majority Illusion in Social Networks

    E-Print Network [OSTI]

    Lerman, Kristina; Wu, Xin-Zeng

    2015-01-01

    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. Adaptive Neural Networks for Automatic Negotiation

    SciTech Connect (OSTI)

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

    2007-12-26

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

  14. International Policy International Development

    E-Print Network [OSTI]

    Watson, Andrew

    Research Strategy 2006-2009 International Policy Energy Adaptation International Development Coasts Change Research. Our strategy builds upon our previous work on integrated assessment, energy, adaptation of time. In this spirit, the Centre reconfirms its vision statement: "The Tyndall Centre is the UK network

  15. Simulated, Emulated, and Physical Investigative Analysis (SEPIA) of networked systems.

    SciTech Connect (OSTI)

    Burton, David P.; Van Leeuwen, Brian P.; McDonald, Michael James; Onunkwo, Uzoma A.; Tarman, Thomas David; Urias, Vincent E.

    2009-09-01

    This report describes recent progress made in developing and utilizing hybrid Simulated, Emulated, and Physical Investigative Analysis (SEPIA) environments. Many organizations require advanced tools to analyze their information system's security, reliability, and resilience against cyber attack. Today's security analysis utilize real systems such as computers, network routers and other network equipment, computer emulations (e.g., virtual machines) and simulation models separately to analyze interplay between threats and safeguards. In contrast, this work developed new methods to combine these three approaches to provide integrated hybrid SEPIA environments. Our SEPIA environments enable an analyst to rapidly configure hybrid environments to pass network traffic and perform, from the outside, like real networks. This provides higher fidelity representations of key network nodes while still leveraging the scalability and cost advantages of simulation tools. The result is to rapidly produce large yet relatively low-cost multi-fidelity SEPIA networks of computers and routers that let analysts quickly investigate threats and test protection approaches.

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

    E-Print Network [OSTI]

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

    2015-01-01

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

  17. Knowledge Media Institute Representing Scholarly Claims in Internet Digital

    E-Print Network [OSTI]

    Knowledge Media Institute Representing Scholarly Claims in Internet Digital Libraries: A Knowledge in Computer Science (Eds.) Serge Abiteboul and Anne-Marie Vercoustre. Representing Scholarly Claims with tracking and interpreting scholarly documents in distributed research communities. We argue that current

  18. Lexical semantics and knowledge representation in multilingual sentence generation

    E-Print Network [OSTI]

    Toronto, University of

    Lexical semantics and knowledge representation in multilingual sentence generation by Manfred Stede semantics and knowledge representation in multilingual sentence generation Manfred Stede Doctor approach to automatic language generation that focuses on the need to produce a range of di erent

  19. Guidelines and Metrics for Configurable and Sustainable Architectural Knowledge Modelling

    E-Print Network [OSTI]

    Brezany, Peter

    Guidelines and Metrics for Configurable and Sustainable Architectural Knowledge Modelling ABSTRACT erosion, architecture knowledge, technical sustainability, technical debt. 1. INTRODUCTION Architectural to achieve architecture sustainability. Our main contributions of this paper is a configurable meta

  20. Tools for Extracting Actionable Medical Knowledge from Genomic Big Data

    E-Print Network [OSTI]

    Goldstein, Theodore Charles

    2013-01-01

    KNOWLEDGE FROM GENOMIC BIG DATA A dissertation submitted inKNOWLEDGE FROM GENOMIC BIG DATA By Theodore C. Goldsteinby the quantities of big data from these assays and cannot

  1. NOTES TOWARD A MODEL FOR THE STRUCTURE OF KNOWLEDGE SYSTEMS

    E-Print Network [OSTI]

    Futrell, Richard H.

    1972-10-01

    This paper reviews two formulations of some structural aspects of knowledge systems. These two structural specifications of knowledge systems, by Judith Willer and by Norwood Russell Hanson, are then combined to suggest a model for relating several...

  2. Topological Complexity of Frictional Interfaces: Friction Networks

    E-Print Network [OSTI]

    H. O. Ghaffari; R. P. Young

    2012-01-05

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

  3. Probabilistic Knowledge as Objective Knowledge in Quantum Mechanics: Potential Powers Instead of Actual Properties

    E-Print Network [OSTI]

    de Ronde, Christian

    2015-01-01

    In classical physics, probabilistic or statistical knowledge has been always related to ignorance or inaccurate subjective knowledge about an actual state of affairs. This idea has been extended to quantum mechanics through a completely incoherent interpretation of the Fermi-Dirac and Bose-Einstein statistics in terms of "strange" quantum particles. This interpretation, naturalized through a widespread "way of speaking" in the physics community, contradicts Born's physical account of {\\Psi} as a "probability wave" which provides statistical information about outcomes that, in fact, cannot be interpreted in terms of 'ignorance about an actual state of affairs'. In the present paper we discuss how the metaphysics of actuality has played an essential role in limiting the possibilities of understating things differently. We propose instead a metaphysical scheme in terms of powers with definite potentia which allows us to consider quantum probability in a new light, namely, as providing objective knowledge about a...

  4. Probabilistic Knowledge as Objective Knowledge in Quantum Mechanics: Potential Powers Instead of Actual Properties

    E-Print Network [OSTI]

    Christian de Ronde

    2015-06-24

    In classical physics, probabilistic or statistical knowledge has been always related to ignorance or inaccurate subjective knowledge about an actual state of affairs. This idea has been extended to quantum mechanics through a completely incoherent interpretation of the Fermi-Dirac and Bose-Einstein statistics in terms of "strange" quantum particles. This interpretation, naturalized through a widespread "way of speaking" in the physics community, contradicts Born's physical account of {\\Psi} as a "probability wave" which provides statistical information about outcomes that, in fact, cannot be interpreted in terms of 'ignorance about an actual state of affairs'. In the present paper we discuss how the metaphysics of actuality has played an essential role in limiting the possibilities of understating things differently. We propose instead a metaphysical scheme in terms of powers with definite potentia which allows us to consider quantum probability in a new light, namely, as providing objective knowledge about a potential state of affairs.

  5. TOOLS TO MODEL ROAD IMPACTS Providing scientific knowledge and technology to sustain

    E-Print Network [OSTI]

    Fried, Jeremy S.

    TOOLS TO MODEL ROAD IMPACTS Providing scientific knowledge and technology to sustain our nation://www.fs.fed.us/rm/boise/AWAE_home.shtml BACKGROUND The Rocky Mountain Research Station has a long his- tory of developing tools that meet the needs. Existing tools have been optimized to answer particular man- agement questions at specific spatial scales

  6. CTSHIV: A Knowledge-Based System For the Management of HIV-infected Patients

    E-Print Network [OSTI]

    Pazzani, Michael J.

    See Ranjit Iyer Edison Schroeder Jeremiah Tilles Department of Information & Computer Science has developed. By monitoringthe HIV virus of the patient, the treatment strategy can be switched in response to mutations of the virus. CTSHIV contains a knowledge base that encodes information from

  7. Sentence retrieval for extracting biomedical knowledge Tara McIntosh and James R. Curran

    E-Print Network [OSTI]

    Curran, James R.

    Sentence retrieval for extracting biomedical knowledge Tara McIntosh and James R. Curran School of ar- ticles cited in a Molecular Interaction Map (Kohn, 1999) developed by McIntosh and Curran (2007 parsed using the HSPG grammar (Ohta et al., 2006). As McIntosh and Curran (2007) showed, a significant

  8. Materials Science at Oxford is an interdisciplinary subject that makes use of knowledge from Physics,

    E-Print Network [OSTI]

    Oxford, University of

    it is made, they develop new or improved materials to meet engineering specifications, and they devise for telecommunications, semiconductors and other materials for photovoltaic energy generation, and silicon microchipsMaterials Science at Oxford is an interdisciplinary subject that makes use of knowledge from

  9. Ontology-Assisted Analysis of Web Queries to Determine the Knowledge Radiologists Seek

    E-Print Network [OSTI]

    Rubin, Daniel L.

    Ontology-Assisted Analysis of Web Queries to Determine the Knowledge Radiologists Seek Daniel L frequently search the Web to find informa- tion they need to improve their practice, and knowing the types of information they seek could be useful for evaluating Web resources. Our goal was to develop an automated

  10. Leveraging Corporate Skill Knowledge --From ProPer to York Sure, Alexander Maedche, Steffen Staab

    E-Print Network [OSTI]

    Staab, Steffen

    Introduction Human Resource Management (HRM) is a key factor for success in knowledge-intensive compa- nies should recognize expertise gaps in the company and plan further HRM development in order to get the most leverage out of the company's human capital. To support the HRM with keeping track of the company

  11. Knowledge-based sizing of cogeneration plant in buildings

    SciTech Connect (OSTI)

    Williams, J.M.; Griffiths, A.J.; Knight, I.P.

    1998-10-01

    Cogeneration is now accepted as a cost-effective and environmentally friendly means of meeting some of a building`s heating and power needs. Cogeneration plants have been installed in many buildings throughout the United Kingdom. Because of commercial pressures, building owners and cogeneration companies are keen to reduce the time and money involved in sizing units, and a decision support tool has been developed to aid the engineer in selecting the unit size. An initial assessment of the sizing can be made with only knowledge of the building`s type, size, and location, which enables the model to be used in new build situations. For an existing building, the accuracy of the predictions can then be progressively improved by providing more information about the building`s energy use, enabling the optimum unit to be identified. This paper briefly describes the model and demonstrates its use through an example feasibility study.

  12. Learning at the Knowledge Level Thomas G. Dietterich

    E-Print Network [OSTI]

    for such predictions has been suppressed. The key abstraction underlying the knowledge level is the notionLearning at the Knowledge Level Thomas G. Dietterich Department of Computer Science Oregon State University Corvallis, OR 97331 dietterich%oregon­state@csnet­relay Running head: Knowledge Level Learning #12

  13. 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

  14. 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

  15. 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

  16. 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

  17. Applying knowledge to reverse engineering problems Robert B. Fisher

    E-Print Network [OSTI]

    Fisher, Bob

    made at Edinburgh University based on projects that apply domain knowledge of standard shapes exploring `knowledge- based' techniques to help overcome these and other problems. The underlying theme follow standard conventions arising from tradition, utility or engineering design. This is a "knowledge

  18. Is Knowledge Easy -or Impossible? Externalism as the Only Alternative

    E-Print Network [OSTI]

    Fitelson, Branden

    Chapter 4 Is Knowledge Easy - or Impossible? Externalism as the Only Alternative to Skepticism makes knowledge too easy. i In what follows I press the suggestion that the only alternative, they believe that there is some third alternative to the easy knowledge of the externalist and the unattainable

  19. Discovering Multidimensional Patterns in Large Datasets by Knowledge Scouts

    E-Print Network [OSTI]

    Michalski, Ryszard S.

    mining and machine learning programs with standard data and knowledge management operations data mining applications. Keywords: Data Mining, Knowledge Discovery, Knowledge Scouts, Inductive Projects Agency under Grant No. F49620-95-1-0462 administered by the Air Force Office of Scientific

  20. IKRAFT: Interactive Knowledge Representation and Acquisition From Text

    E-Print Network [OSTI]

    Gil, Yolanda

    of formality and specificity how each piece of knowledge in the system was derived from original sources, which are often Web sources. If a knowledge base contains a trace of information about how each piece of knowledge portions of those sources. These connections are initially very high level and informal, and our ultimate

  1. Dynamics on modular networks with heterogeneous correlations

    SciTech Connect (OSTI)

    Melnik, Sergey [MACSI, Department of Mathematics and Statistics, University of Limerick (Ireland) [MACSI, Department of Mathematics and Statistics, University of Limerick (Ireland); Oxford Centre for Industrial and Applied Mathematics, Mathematical Institute, University of Oxford, Oxford OX2 6GG (United Kingdom); CABDyN Complexity Centre, University of Oxford, Oxford OX1 1HP (United Kingdom); Porter, Mason A. [Oxford Centre for Industrial and Applied Mathematics, Mathematical Institute, University of Oxford, Oxford OX2 6GG (United Kingdom) [Oxford Centre for Industrial and Applied Mathematics, Mathematical Institute, University of Oxford, Oxford OX2 6GG (United Kingdom); CABDyN Complexity Centre, University of Oxford, Oxford OX1 1HP (United Kingdom); Mucha, Peter J. [Department of Mathematics, Carolina Center for Interdisciplinary Applied Mathematics, University of North Carolina, Chapel Hill, North Carolina 27599-3250 (United States) [Department of Mathematics, Carolina Center for Interdisciplinary Applied Mathematics, University of North Carolina, Chapel Hill, North Carolina 27599-3250 (United States); Institute for Advanced Materials, Nanoscience and Technology, University of North Carolina, Chapel Hill, North Carolina 27599-3216 (United States); Gleeson, James P. [MACSI, Department of Mathematics and Statistics, University of Limerick (Ireland)] [MACSI, Department of Mathematics and Statistics, University of Limerick (Ireland)

    2014-06-15

    We develop a new ensemble of modular random graphs in which degree-degree correlations can be different in each module, and the inter-module connections are defined by the joint degree-degree distribution of nodes for each pair of modules. We present an analytical approach that allows one to analyze several types of binary dynamics operating on such networks, and we illustrate our approach using bond percolation, site percolation, and the Watts threshold model. The new network ensemble generalizes existing models (e.g., the well-known configuration model and Lancichinetti-Fortunato-Radicchi networks) by allowing a heterogeneous distribution of degree-degree correlations across modules, which is important for the consideration of nonidentical interacting networks.

  2. Modeling tensorial conductivity of particle suspension networks

    E-Print Network [OSTI]

    Tyler Olsen; Ken Kamrin

    2015-01-13

    Significant microstructural anisotropy is known to develop during shearing flow of attractive particle suspensions. These suspensions, and their capacity to form conductive networks, play a key role in flow-battery technology, among other applications. Herein, we present and test an analytical model for the tensorial conductivity of attractive particle suspensions. The model utilizes the mean fabric of the network to characterize the structure, and the relationship to the conductivity is inspired by a lattice argument. We test the accuracy of our model against a large number of computer-generated suspension networks, based on multiple in-house generation protocols, giving rise to particle networks that emulate the physical system. The model is shown to adequately capture the tensorial conductivity, both in terms of its invariants and its mean directionality.

  3. 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)

    2012-01-01

    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 ...

  4. Complex Networks - A Key to Understanding Brain Function

    SciTech Connect (OSTI)

    Olaf Sporns

    2008-01-23

    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.

  5. Complex Networks - A Key to Understanding Brain Function

    ScienceCinema (OSTI)

    Olaf Sporns

    2010-01-08

    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.

  6. 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

  7. Experiences with 100Gbps Network Applications

    E-Print Network [OSTI]

    Balman, Mehmet

    2013-01-01

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

  8. The Transfer of Knowledge from Physics and Mathematics to Engineering Applications

    E-Print Network [OSTI]

    Roman Ya. Kezerashvili; Candido Cabo; Djafar K. Mynbaev

    2007-08-20

    The objective of this paper is to describe a development of an innovative approach to enable students studying science, technology, engineering, and mathematics (STEM) to apply the concepts learned in physics and mathematics to engineering problem-solving challenges. Our goal is to facilitate students transfer of knowledge from theory to engineering applications, thereby increasing student academic performance, retention, persistence, and graduation. To achieve the goal we are creating a virtual community of students and faculty as a vehicle for promoting the transfer of knowledge using e-learning and e-teaching mechanisms.

  9. An Interactive Dynamic Model for Integrating Knowledge Management Methods and Knowledge Sharing Technology in a Traditional Classroom

    E-Print Network [OSTI]

    Phoha, Vir V.

    An Interactive Dynamic Model for Integrating Knowledge Management Methods and Knowledge Sharing Technology in a Traditional Classroom Vir V. Phoha Computer Science Louisiana Tech University Ruston, LA Management methods and Knowledge Sharing technology to integrate the acquisition of skills and relevant

  10. Reconfigureable network node

    DOE Patents [OSTI]

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

    2008-04-08

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

  11. Knowledge Provenance: An Approach to Modeling and Maintaining The Evolution and Validity of Knowledge

    E-Print Network [OSTI]

    Fox, Mark S.

    with information of unknown sources, and need to interact with "strangers". This makes trust and the validity of information in cyberspace arise as crucial issues. This thesis proposes knowledge provenance (KP) as a formal and maintaining the information sources, information dependencies, and trust structures. We conceptualize

  12. Tera-node Network Technology (TASK 4) Network Infrastructure Activities (NIA) final report

    SciTech Connect (OSTI)

    Postel, John; Bannister, Joe

    2000-03-15

    The TNT project developed software technologies in scalable personal telecommunications (SPT), Reservation Protocol 2 (RSVP2), Scalable Computing Infrastructure (SCOPE), and Network Infrastructure Activities (NIA). SPT = developed many innovative protocols to support the use of videoconferencing applications on the Internet. RSVP2 = developed a new reference model and further standardization of RSVP. SCOPE = developed dynamic resource discovery techniques and distributed directory services in support of resource allocation for large distributed systems and computations. NIA = provided policy, operational, and support to the transitioning Internet.

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

    E-Print Network [OSTI]

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

    2015-01-01

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

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

    E-Print Network [OSTI]

    Rosenblatt, Michael, 1977-

    2003-01-01

    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 ...

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

    E-Print Network [OSTI]

    Hossain, M. Enamul

    experiments for simulating a given oilfield operation. Dimensional analysis is used to derive scaling groups. A scaled model is designed on the basis of the principle of similarity. Such a model is characterized

  16. IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 9, NO. 6, NOVEMBER 1998 1203 Rough Fuzzy MLP: Knowledge

    E-Print Network [OSTI]

    Mitra, Sushmita

    Statistical Institute, Calcutta 700035, India. He is now with the Department of Mathematics, Indian Institute Statistical Institute, Calcutta 700035, India. Publisher Item Identifier S 1045-9227(98)08346-5. Generally of Technology, Kanpur 208016, India. S. Mitra and S. K. Pal are with the Machine Intelligence Unit, Indian

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

    E-Print Network [OSTI]

    Zingg, David W.

    flows',International Journal of Computational Fluid Dynamics,23:4,327 -- 335 To link to this Article present ability to predict many aerodynamic flows accurately is our inability to reliably predict laminar at take-off and landing to supersonic, and a combination of laminar and turbulent flow.

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

    E-Print Network [OSTI]

    Lutscher, Frithjof

    House, 37- 41 Mortimer Street, London W1T 3JH, UK Journal of Biological Dynamics Publication details their overabundance, as negative ecological impacts of deer overabundance become more and more clea

  19. Issues in Reasoning about Interaction Networks in Cells: Necessity of Event Ordering Knowledge

    E-Print Network [OSTI]

    Shankland, Carron

    Tran and Chitta Baral Computer Science & Engineering Arizona State University Tempe, AZ 85281, USA {namtran,chitta}@asu.edu Carron Shankland Computing Science & Mathematics University of Stirling Stirling

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    Barrett, Christopher

    House, 37- 41 Mortimer Street, London W1T 3JH, UK Liquid Crystals Publication details, including', Liquid Crystals, 36: 10, 1289 -- 1293 To link to this Article: DOI: 10.1080/02678290903138711 URL: http. Upon irradiation with UV light, the films bent toward a light source at room temperature