Sample records for network systems llc

  1. QER- Comment of Skibo Systems LLC

    Broader source: Energy.gov [DOE]

    Paul M. Klemencic, Skibo Systems LLC: Comments regarding the current state of all major energy markets, addressing customer costs and needs, infrastructure, market controls and optimization, and build out of green energy sources.

  2. amaranth advisors llc: Topics by E-print Network

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

    could increaseSeneca Creek Associates, LLC Wood Resources International, LLC "Illegal" Logging and Global Wood Markets: The Competitive Impacts on the U.S. Wood Products...

  3. aws truewind llc: Topics by E-print Network

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

    could increaseSeneca Creek Associates, LLC Wood Resources International, LLC "Illegal" Logging and Global Wood Markets: The Competitive Impacts on the U.S. Wood Products...

  4. Sustainable Systems LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries PvtStratosolar Jump to:Holdings Co LtdLLC Place: Missoula, Montana Zip: 59812

  5. TekTrakker Information Systems, LLC-Amart Grad RFI: Addressign...

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

    TekTrakker Information Systems, LLC-Amart Grad RFI: Addressign Policy and Logistical Challenges. Recommendations on how to share and compare failure experience between utilities...

  6. SiEnergy Systems LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |Rippey JumpAirPower PartnersSiEnergy Systems LLC Jump to:

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

    SciTech Connect (OSTI)

    Zarkesh-Ha, Payman [University of New Mexico

    2014-09-12T23:59:59.000Z

    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.

  8. Complex Networked Control Systems

    E-Print Network [OSTI]

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

  9. Computer Systems and Network Manager

    E-Print Network [OSTI]

    Computer Systems and Network Manager Fort Collins, Colorado POSITION A Computers Systems activities. RESPONSIBILITIES The successful candidate will perform computer systems and network administration, including computer hardware, systems software, applications software, and all configurations

  10. Network Embedded Systems Sensor Networks

    E-Print Network [OSTI]

    Amir, Yair

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

  11. Aircraft System Identification Using Artificial Neural Networks

    E-Print Network [OSTI]

    Valasek, John

    Aircraft System Identification Using Artificial Neural Networks Kenton Kirkpatrick Jim May Jr. John Meeting January 9, 2013 Compos Volatus #12;Overview Motivation System Identification Artificial Neural Networks 2 Artificial Neural Networks ANNSID Conclusions and Open Challenges #12;Motivation 3 #12

  12. On Cyber Security for Networked Control Systems

    E-Print Network [OSTI]

    Amin, Saurabh

    2011-01-01T23:59:59.000Z

    Attacks Against Water SCADA Systems . . . . . . . . . .2 d (bottom) [simulated results]. . Gignac SCADA supervisoryGignac canal network and SCADA system . . . . . . . . .

  13. area network system: Topics by E-print Network

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

    of the experiment. The network management system is implemented based on a commercial SCADA system (PVSS II). We show here how a large scale network can be monitored and...

  14. Photovoltaic Systems Interconnected onto Secondary Network Distribution Systems – Success Stories

    Broader source: Energy.gov [DOE]

    This report examines six case studies of photovoltaic (PV) systems integrated into secondary network systems. The six PV systems were chosen for evaluation because they are interconnected to secondary network systems located in four major Solar America Cities.

  15. World-Systems as Dynamic Networks

    E-Print Network [OSTI]

    White, Douglas R.

    World-Systems as Dynamic Networks Christopher Chase-Dunn Institute for Research on World-Systems on comparative world-systems for the workshop on `analyzing complex macrosystems as dynamic networks" at the Santa Fe Institute, April 29- 30, 2004. (8341 words) v. 4-22-04 1 #12;The comparative world-systems

  16. Photovoltaic Systems Interconnected onto Network Distribution Systems--Success Stories

    SciTech Connect (OSTI)

    Coddington, M.; Kroposki, B.; Basso, T.; Lynn, K.; Sammon, D.; Vaziri, M.; Yohn, T.

    2009-04-01T23:59:59.000Z

    This report examines six case studies of photovoltaic systems integrated into secondary network systems in four major U.S. Solar America cities.

  17. 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

  18. DOE Zero Energy Ready Home Case Study: 2013 Weiss Building & Development, LLC., System Home, River Forest, IL

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

    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 DataDepartment of Energy Your Density Isn't Your Destiny: Theof"WaveInteractionsMaterials |Production | Department of EnergyLLC

  19. Introduction Operations Management of Blood Banking Systems Blood Banking Systems Network Design Supply Chain Network

    E-Print Network [OSTI]

    Nagurney, Anna

    Introduction Operations Management of Blood Banking Systems Blood Banking Systems Network Design Supply Chain Network Operations Management and Design of A Sustainable Blood Banking System Amir Masoumi of Massachusetts Amherst #12;Introduction Operations Management of Blood Banking Systems Blood Banking Systems

  20. An Integrated System Simulation Approach for Wireless Networked Control Systems

    E-Print Network [OSTI]

    Koutsoukos, Xenofon D.

    Vanderbilt University Nashville, TN, USA Abstract--Cyber-Physical Systems (CPS), such as networked control wireless networks. Accurate modeling of these communication networks is essential in the design and verification of CPS. Controller design needs to take into ac- count the wireless channel characteristics (e

  1. Neural network based system for equipment surveillance

    DOE Patents [OSTI]

    Vilim, Richard B. (Aurora, IL); Gross, Kenneth C. (Bolingbrook, IL); Wegerich, Stephan W. (Glendale Hts., IL)

    1998-01-01T23:59:59.000Z

    A method and system for performing surveillance of transient signals of an industrial device to ascertain the operating state. The method and system involves the steps of reading into a memory training data, determining neural network weighting values until achieving target outputs close to the neural network output. If the target outputs are inadequate, wavelet parameters are determined to yield neural network outputs close to the desired set of target outputs and then providing signals characteristic of an industrial process and comparing the neural network output to the industrial process signals to evaluate the operating state of the industrial process.

  2. Neural network based system for equipment surveillance

    DOE Patents [OSTI]

    Vilim, R.B.; Gross, K.C.; Wegerich, S.W.

    1998-04-28T23:59:59.000Z

    A method and system are disclosed for performing surveillance of transient signals of an industrial device to ascertain the operating state. The method and system involves the steps of reading into a memory training data, determining neural network weighting values until achieving target outputs close to the neural network output. If the target outputs are inadequate, wavelet parameters are determined to yield neural network outputs close to the desired set of target outputs and then providing signals characteristic of an industrial process and comparing the neural network output to the industrial process signals to evaluate the operating state of the industrial process. 33 figs.

  3. Computer System, Cluster, and Networking Summer Institute Program...

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

    System, Cluster, and Networking Summer Institute Program Description The Computer System, Cluster, and Networking Summer Institute (CSCNSI) is a focused technical enrichment...

  4. Aeroseal, LLC a JMD, Inc Company

    E-Print Network [OSTI]

    Aeroseal, LLC a JMD, Inc Company 6838 Ellicott Drive East Syracuse, NY 13057 www.aeroseal.com Seal the Savings! May 26, 2011 Brady Peeks Northwest test procedure using an Aeroseal SmartSeal system. The total leakage of the duct system to the outside

  5. Comments of Hughes Network Systems, LLC and Inmarsat Inc. | Department of

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T, Inc.'sEnergyTexas1. FeedstockCLEANSpringsNational BroadbandCrow

  6. Increasing the robustness of networked systems

    E-Print Network [OSTI]

    Kandula, Srikanth

    2009-01-01T23:59:59.000Z

    What popular news do you recall about networked systems? You've probably heard about the several hour failure at Amazon's computing utility that knocked down many startups for several hours, or the attacks that forced the ...

  7. Network support for system initiated checkpoints

    SciTech Connect (OSTI)

    Chen, Dong; Heidelberger, Philip

    2013-01-29T23:59:59.000Z

    A system, method and computer program product for supporting system initiated checkpoints in parallel computing systems. The system and method generates selective control signals to perform checkpointing of system related data in presence of messaging activity associated with a user application running at the node. The checkpointing is initiated by the system such that checkpoint data of a plurality of network nodes may be obtained even in the presence of user applications running on highly parallel computers that include ongoing user messaging activity.

  8. NeuDetect: A Neural Network Data Mining Wireless Network Intrusion Detection System

    E-Print Network [OSTI]

    Ezeife, Christie

    NeuDetect: A Neural Network Data Mining Wireless Network Intrusion Detection System C.I. Ezeife wireless intrusion detection systems, this paper presents a method of applying artificial neural networks mining clas- sification technique to wireless network intrusion detection system. The proposed system

  9. Aircraft System Identification Using Artificial Neural Networks

    E-Print Network [OSTI]

    Valasek, John

    Aircraft System Identification Using Artificial Neural Networks Kenton Kirkpatrick , Jim May Jr linear system identification for aircraft using artificial neural net- works. The output of a linear the correct model. In this paper, a new method of system identification is proposed that uses artificial

  10. The APS control system network upgrade.

    SciTech Connect (OSTI)

    Sidorowicz, K. v.; Leibfritz, D.; McDowell, W. P.

    1999-10-22T23:59:59.000Z

    When it was installed,the Advanced Photon Source (APS) control system network was at the state-of-the-art. Different aspects of the system have been reported at previous meetings [1,2]. As loads on the controls network have increased due to newer and faster workstations and front-end computers, we have found performance of the system declining and have implemented an upgraded network. There have been dramatic advances in networking hardware in the last several years. The upgraded APS controls network replaces the original FDDI backbone and shared Ethernet hubs with redundant gigabit uplinks and fully switched 10/100 Ethernet switches with backplane fabrics in excess of 20 Gbits/s (Gbps). The central collapsed backbone FDDI concentrator has been replaced with a Gigabit Ethernet switch with greater than 30 Gbps backplane fabric. Full redundancy of the system has been maintained. This paper will discuss this upgrade and include performance data and performance comparisons with the original network.

  11. OPTIMAL CONTROL WITH PACKET DROPS IN NETWORKED CONTROL SYSTEMS

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    OPTIMAL CONTROL WITH PACKET DROPS IN NETWORKED CONTROL SYSTEMS Flavia Felicioni*, François Simonot optimization 1. INTRODUCTION1 With the progress of networking technology, more and more control systems are now: The stability and performance of a networked control system are strongly influenced by the network delay

  12. Networked control systems: a perspective from chaos

    E-Print Network [OSTI]

    Guofeng Zhang; Tongwen Chen

    2014-05-10T23:59:59.000Z

    In this paper, a nonlinear system aiming at reducing the signal transmission rate in a networked control system is constructed by adding nonlinear constraints to a linear feedback control system. Its stability is investigated in detail. It turns out that this nonlinear system exhibits very interesting dynamical behaviors: in addition to local stability, its trajectories may converge to a non-origin equilibrium or be periodic or just be oscillatory. Furthermore it exhibits sensitive dependence on initial conditions --- a sign of chaos. Complicated bifurcation phenomena are exhibited by this system. After that, control of the chaotic system is discussed. All these are studied under scalar cases in detail. Some difficulties involved in the study of this type of systems are analyzed. Finally an example is employed to reveal the effectiveness of the scheme in the framework of networked control systems.

  13. CSP 543: Multimedia Networking Atel Puri, Tsuhan Chen, Multimedia Systems, Standards, and Networks, ISBN 082479303X

    E-Print Network [OSTI]

    Heller, Barbara

    CSP 543: Multimedia Networking Texts Atel Puri, Tsuhan Chen, Multimedia Systems, Standards for multimedia networks. Topics covered include coding, compression, streaming, synchronization, QoS, and adaptation. Current tools for multimedia networking will be surveyed. Issues with multimedia application

  14. Composable system resources as an architecture for networked systems

    E-Print Network [OSTI]

    Chatterjee, Sandeep, 1973-

    2001-01-01T23:59:59.000Z

    (cont.) In this thesis, I describe an architecture for network devices that is based on using pluggable system resource modules that can be composed together to create a close-to-optimal platform for a particular application ...

  15. Dynamical Analysis of a Networked Control System

    E-Print Network [OSTI]

    Guofeng Zhang; Guanrong Chen; Tongwen Chen; Maria D'Amico

    2014-05-18T23:59:59.000Z

    A new network data transmission strategy was proposed in Zhang \\& Chen [2005] (arXiv:1405.2404), where the resulting nonlinear system was analyzed and the effectiveness of the transmission strategy was demonstrated via simulations. In this paper, we further generalize the results of Zhang \\& Chen [2005] in the following ways: 1) Construct first-return maps of the nonlinear systems formulated in Zhang \\& Chen [2005] and derive several existence conditions of periodic orbits and study their properties. 2) Formulate the new system as a hybrid system, which will ease the succeeding analysis. 3) Prove that this type of hybrid systems is not structurally stable based on phase transition which can be applied to higher-dimensional cases effortlessly. 4) Simulate a higher-dimensional model with emphasis on their rich dynamics. 5) Study a class of continuous-time hybrid systems as the counterparts of the discrete-time systems discussed above. 6) Propose new controller design methods based on this network data transmission strategy to improve the performance of each individual system and the whole network. We hope that this research and the problems posed here will rouse interests of researchers in such fields as control, dynamical systems and numerical analysis.

  16. EIS-0428: Mississippi Gasification, LLC, Industrial Gasification...

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

    8: Mississippi Gasification, LLC, Industrial Gasification Facility in Moss Point, MS EIS-0428: Mississippi Gasification, LLC, Industrial Gasification Facility in Moss Point, MS...

  17. EIS-0429: Indiana Gasification, LLC, Industrial Gasification...

    Office of Environmental Management (EM)

    9: Indiana Gasification, LLC, Industrial Gasification Facility in Rockport, IN and CO2 Pipeline EIS-0429: Indiana Gasification, LLC, Industrial Gasification Facility in Rockport,...

  18. IEEE 342 Node Low Voltage Networked Test System

    SciTech Connect (OSTI)

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

    2014-07-31T23:59:59.000Z

    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. Networked Control Systems under Cyber Attacks with Applications to Power Networks

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Terms-- Networked Control Systems, Fault Detection, Power Systems I. INTRODUCTION Several infrastructure infrastructure systems are vulnerable to cyber attacks [1], [2], which are performed on the information residingNetworked Control Systems under Cyber Attacks with Applications to Power Networks Andr´e Teixeira

  20. Intergrated Drug Testing System, PIA, Bechtel Jacobs C ompany...

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

    Intergrated Drug Testing System, PIA, Bechtel Jacobs C ompany, LLC Intergrated Drug Testing System, PIA, Bechtel Jacobs C ompany, LLC Intergrated Drug Testing System, PIA, Bechtel...

  1. Policy Management for Networked Systems and Applications

    E-Print Network [OSTI]

    Lee, Kang-Won

    Policy Management for Networked Systems and Applications Dakshi Agrawal, Seraphin Calo, James Giles {agrawal,scalo,gilesjam,kangwon,dverma}@us.ibm.com Abstract In this paper, we present a novel policy and administrative domains. The proposed policy middleware provides a standard infrastructure for the creation

  2. Analysis of complex systems using neural networks

    SciTech Connect (OSTI)

    Uhrig, R.E. [Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering]|[Oak Ridge National Lab., TN (United States)

    1992-12-31T23:59:59.000Z

    The application of neural networks, alone or in conjunction with other advanced technologies (expert systems, fuzzy logic, and/or genetic algorithms), to some of the problems of complex engineering systems has the potential to enhance the safety, reliability, and operability of these systems. Typically, the measured variables from the systems are analog variables that must be sampled and normalized to expected peak values before they are introduced into neural networks. Often data must be processed to put it into a form more acceptable to the neural network (e.g., a fast Fourier transformation of the time-series data to produce a spectral plot of the data). Specific applications described include: (1) Diagnostics: State of the Plant (2) Hybrid System for Transient Identification, (3) Sensor Validation, (4) Plant-Wide Monitoring, (5) Monitoring of Performance and Efficiency, and (6) Analysis of Vibrations. Although specific examples described deal with nuclear power plants or their subsystems, the techniques described can be applied to a wide variety of complex engineering systems.

  3. Analysis of complex systems using neural networks

    SciTech Connect (OSTI)

    Uhrig, R.E. (Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering Oak Ridge National Lab., TN (United States))

    1992-01-01T23:59:59.000Z

    The application of neural networks, alone or in conjunction with other advanced technologies (expert systems, fuzzy logic, and/or genetic algorithms), to some of the problems of complex engineering systems has the potential to enhance the safety, reliability, and operability of these systems. Typically, the measured variables from the systems are analog variables that must be sampled and normalized to expected peak values before they are introduced into neural networks. Often data must be processed to put it into a form more acceptable to the neural network (e.g., a fast Fourier transformation of the time-series data to produce a spectral plot of the data). Specific applications described include: (1) Diagnostics: State of the Plant (2) Hybrid System for Transient Identification, (3) Sensor Validation, (4) Plant-Wide Monitoring, (5) Monitoring of Performance and Efficiency, and (6) Analysis of Vibrations. Although specific examples described deal with nuclear power plants or their subsystems, the techniques described can be applied to a wide variety of complex engineering systems.

  4. An Architectural Approach for Integrated Network and Systems Management

    E-Print Network [OSTI]

    Boutaba, Raouf

    An Architectural Approach for Integrated Network and Systems Management Raouf Boutaba 1 and Simon. The constant growth in quantity and quality of networked systems and the thereby arising problems concerning introduce an architecture for the integrated management of all resources in a networked system, i

  5. Optimizing Controller Location in Networked Control Systems with Packet Drops

    E-Print Network [OSTI]

    Optimizing Controller Location in Networked Control Systems with Packet Drops C. L. Robinson1 and P in answering these two questions is that analysis of optimality in networked control systems subject to random mechanisms for wireless networked control systems [8, 6, 5]. In this paper we consider the issue of optimal

  6. Gas Main Sensor and Communications Network System

    SciTech Connect (OSTI)

    Hagen Schempf

    2006-05-31T23:59:59.000Z

    Automatika, Inc. was contracted by the Department of Energy (DOE) and with co-funding from the Northeast Gas Association (NGA), to develop an in-pipe natural gas prototype measurement and wireless communications system for assessing and monitoring distribution networks. This projected was completed in April 2006, and culminated in the installation of more than 2 dozen GasNet nodes in both low- and high-pressure cast-iron and steel mains owned by multiple utilities in the northeastern US. Utilities are currently logging data (off-line) and monitoring data in real time from single and multiple networked sensors over cellular networks and collecting data using wireless bluetooth PDA systems. The system was designed to be modular, using in-pipe sensor-wands capable of measuring, flow, pressure, temperature, water-content and vibration. Internal antennae allowed for the use of the pipe-internals as a waveguide for setting up a sensor network to collect data from multiple nodes simultaneously. Sensor nodes were designed to be installed with low- and no-blow techniques and tools. Using a multi-drop bus technique with a custom protocol, all electronics were designed to be buriable and allow for on-board data-collection (SD-card), wireless relaying and cellular network forwarding. Installation options afforded by the design included direct-burial and external polemounted variants. Power was provided by one or more batteries, direct AC-power (Class I Div.2) and solar-array. The utilities are currently in a data-collection phase and intend to use the collected (and processed) data to make capital improvement decisions, compare it to Stoner model predictions and evaluate the use of such a system for future expansion, technology-improvement and commercialization starting later in 2006.

  7. aircraft communication systems: Topics by E-print Network

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

    and the high-speed of aircrafts Jain, Raj 5 Aircraft System Identification Using Artificial Neural Networks Engineering Websites Summary: Aircraft System Identification Using...

  8. aircraft system identification: Topics by E-print Network

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

    22 23 24 25 Next Page Last Page Topic Index 1 Aircraft System Identification Using Artificial Neural Networks Engineering Websites Summary: Aircraft System Identification Using...

  9. aircraft system concept: Topics by E-print Network

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

    aircraft conducting High Volume Valasek, John 4 Aircraft System Identification Using Artificial Neural Networks Engineering Websites Summary: Aircraft System Identification Using...

  10. Abengoa Bioenergy Biomass of Kansas LLC | Department of Energy

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

    Abengoa Bioenergy Biomass of Kansas LLC Abengoa Bioenergy Biomass of Kansas LLC Abengoa Bioenergy Biomass of Kansas LLC Location: Hugoton, KS Eligibility: 1705 Snapshot In...

  11. FOA for the Demonstration of an Integrated Biorefinery System...

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

    Biorefinery System: POET Project Liberty, LLC FOA for the Demonstration of an Integrated Biorefinery System: Blue Fire Ethanol, Inc. Abengoa Bioenergy Biomass of Kansas, LLC...

  12. PIA - Firehouse Staff Activity and Training System, Bechtel Jacobs...

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

    Firehouse Staff Activity and Training System, Bechtel Jacobs Company LLC PIA - Firehouse Staff Activity and Training System, Bechtel Jacobs Company LLC PIA - Firehouse Staff...

  13. System and method for networking electrochemical devices

    DOE Patents [OSTI]

    Williams, Mark C. (Morgantown, WV); Wimer, John G. (Morgantown, WV); Archer, David H. (Pittsburgh, PA)

    1995-01-01T23:59:59.000Z

    An improved electrochemically active system and method including a plurality of electrochemical devices, such as fuel cells and fluid separation devices, in which the anode and cathode process-fluid flow chambers are connected in fluid-flow arrangements so that the operating parameters of each of said plurality of electrochemical devices which are dependent upon process-fluid parameters may be individually controlled to provide improved operating efficiency. The improvements in operation include improved power efficiency and improved fuel utilization in fuel cell power generating systems and reduced power consumption in fluid separation devices and the like through interstage process fluid parameter control for series networked electrochemical devices. The improved networking method includes recycling of various process flows to enhance the overall control scheme.

  14. Protecting Networked Systems from Malware Threats

    E-Print Network [OSTI]

    Shin, Seung Won

    2013-07-26T23:59:59.000Z

    -axis for value) . . . . . . . . . . . . . . . . . . . . . . . . . 22 3.1 EFFORT design architecture, (M1 is for human-process-network cor- relation analysis module, M2 for system resource exposure analysis module, M3 for process reputation analysis module, M4.... By simply assigning values to each interface and connecting necessary modules, a FRESCO developer can replicate a range of essential security functions, such as rewalls, scan detectors, attack de ectors, or IDS detection logic. FRESCO modules can also...

  15. System Designs for Adaptive, Distributed Network Monitoring and Control

    E-Print Network [OSTI]

    Baras, John S.

    1 System Designs for Adaptive, Distributed Network Monitoring and Control H. Li, S. Yang, H. Xi.umd.edu Abstract We present system designs for adaptive, distributed network monitoring and control. The ideas are to distribute some processing intelligence to network elements, and to design a dynamic interface

  16. A Survey of Recent Results in Networked Control Systems

    E-Print Network [OSTI]

    Schenato, Luca

    of a multipurpose shared network to connect spatially distributed elements results in flexible architec- tures, long-endurance energy-limited systems such as sensor networks, underwater vehicles, and large arraysINVITED P A P E R A Survey of Recent Results in Networked Control Systems When sensors

  17. Pathways, Networks and Systems Medicine Conferences

    SciTech Connect (OSTI)

    Nadeau, Joseph H. [Pacific Northwest Research Institute] [Pacific Northwest Research Institute

    2013-11-25T23:59:59.000Z

    The 6th Pathways, Networks and Systems Medicine Conference was held at the Minoa Palace Conference Center, Chania, Crete, Greece (16-21 June 2008). The Organizing Committee was composed of Joe Nadeau (CWRU, Cleveland), Rudi Balling (German Research Centre, Brauschweig), David Galas (Institute for Systems Biology, Seattle), Lee Hood (Institute for Systems Biology, Seattle), Diane Isonaka (Seattle), Fotis Kafatos (Imperial College, London), John Lambris (Univ. Pennsylvania, Philadelphia),Harris Lewin (Univ. of Indiana, Urbana-Champaign), Edison Liu (Genome Institute of Singapore, Singapore), and Shankar Subramaniam (Univ. California, San Diego). A total of 101 individuals from 21 countries participated in the conference: USA (48), Canada (5), France (5), Austria (4), Germany (3), Italy (3), UK (3), Greece (2), New Zealand (2), Singapore (2), Argentina (1), Australia (1), Cuba (1), Denmark (1), Japan (1), Mexico (1), Netherlands (1), Spain (1), Sweden (1), Switzerland (1). With respect to speakers, 29 were established faculty members and 13 were graduate students or postdoctoral fellows. With respect to gender representation, among speakers, 13 were female and 28 were male, and among all participants 43 were female and 58 were male. Program these included the following topics: Cancer Pathways and Networks (Day 1), Metabolic Disease Networks (Day 2), Day 3 ? Organs, Pathways and Stem Cells (Day 3), and Day 4 ? Inflammation, Immunity, Microbes and the Environment (Day 4). Proceedings of the Conference were not published.

  18. Research on a Heat-supply Network Dispatching System Based on Geographical Information System (GIS) 

    E-Print Network [OSTI]

    Zhou, Z.; Zou, P.; Tang, H.; Fang, X.; Wang, W.

    2006-01-01T23:59:59.000Z

    -supply Network Dispatching System (HNDS). The system, based on Oracle database and Mapgis 6.5, compiles with Visual C++ software. With computer and communication techniques, the system dynamic inspects parameters and information of a heat-supply network, achieves...

  19. PIKA: A Network Service for Multikernel Operating Systems

    E-Print Network [OSTI]

    Beckmann, Nathan Z.

    2014-01-28T23:59:59.000Z

    PIKA is a network stack designed for multikernel operating systems that target potential future architectures lacking cache-coherent shared memory but supporting message passing. PIKA splits the network stack into several ...

  20. Energy Systems Network ESN | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A PotentialJump to:Emminol JumpEnergy SystemSystems Network ESN Jump to:

  1. Attack Models and Scenarios for Networked Control Systems

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    and Protection--unauthorized access; C.3 [Special-Purpose and Application-Based Systems]: Process control systems on networked control systems may influence the physical processes through the communication infrastructure due to feedback loops. There- fore networked control system security needs to consider the existing threats

  2. Sandia National Laboratories: Linde LLC

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

    and industrial gas giant Linde LLC have signed an umbrella cooperative R&D agreement (CRADA) that is expected to accelerate the development of low-carbon energy and industrial...

  3. A Network-based System Architecture for Remote Medical Applications

    E-Print Network [OSTI]

    Jantsch, Axel

    mobile technology [1] [2] [10]. 3G communication network provides a broadband, packet-based transmissionA Network-based System Architecture for Remote Medical Applications Huimin She1, 2 1 Dept-21-5135-5286 zhoud@fudan.edu.cn ABSTRACT Nowadays, the evolution of wireless communication and network technologies

  4. MECHANOLOGY, LLC 1 Development of a Toroidal Intersecting Vane

    E-Print Network [OSTI]

    that satisfies the FreedomCAR Guidelines ­ and is easily adaptable to individual car system requirements ­ and to measure the TIVM air management system performance #12;MECHANOLOGY, LLC 2 Relevance and Objective. Automotive-type compressors/expanders that meet the FreedomCAR program technical guidelines need

  5. Verification of Network Management System Configurations David L. Cohrs

    E-Print Network [OSTI]

    Miller, Barton P.

    , with the use of simple, ad hoc tools. However in a large network, managing the net- work management system the amount of sharing and coordination possible in configuring the net- work management system. EachVerification of Network Management System Configurations David L. Cohrs (608) 262-6617 dave

  6. A Control Approach to Bandwidth Management in Networked Control Systems

    E-Print Network [OSTI]

    Brandt, Scott A.

    A Control Approach to Bandwidth Management in Networked Control Systems Manel Velasco, Josep M management in networked control systems that allows control loops to consume band- width according bandwidth. I. INTRODUCTION Modern embedded systems are expected to provide more functionality and better

  7. Electric Power System Anomaly Detection Using Neural Networks

    E-Print Network [OSTI]

    Tronci, Enrico

    Electric Power System Anomaly Detection Using Neural Networks Marco Martinelli1 , Enrico Tronci1. The aim of this work is to propose an approach to monitor and protect Electric Power System by learning of an Electric Power System. In this paper, a neural network based approach for novelty detection is presented

  8. Traffic Analysis: From Stateful Firewall to Network Intrusion Detection System

    E-Print Network [OSTI]

    Chiueh, Tzi-cker

    1 Traffic Analysis: From Stateful Firewall to Network Intrusion Detection System Fanglu Guo Tzi normalization. Index Terms Packet (traffic) analysis, stateful firewall, network intrusion detection system intrusion detection system (NIDS). Stateful firewall analyzes packets up to their layer 4 headers while NIDS

  9. atm switching system: Topics by E-print Network

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

    B- ISDNATM infrastructure. The proposed design intents Stavrakakis, Ioannis 40 PMS: a PVC Management System for ATM Networks CiteSeer Summary: . Reported in this paper is the...

  10. adequate systemic perfusion: Topics by E-print Network

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

    Tien, Joe 6 WeAidU -A decision support system for myocardial perfusion images using artificial Physics Websites Summary: of the artificial neural networks detecting infarction and...

  11. Computer System, Cluster and Networking Summer Institute (CSCNSI...

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

    CSCNSI Computer System, Cluster and Networking Summer Institute (CSCNSI) Emphasizes practical skill development. Contact Leader Francis J. Alexander (505) 665-4518 Email Deputy...

  12. Sensor Networks for Monitoring and Control of Water Distribution Systems

    E-Print Network [OSTI]

    Whittle, Andrew

    Water distribution systems present a significant challenge for structural monitoring. They comprise a complex network of pipelines buried underground that are relatively inaccessible. Maintaining the integrity of these ...

  13. array detector systems: Topics by E-print Network

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

    System for a Neutron Detector Array Physics Websites Summary: a stable light emitting diode (LED) light source and a fiber optic network distributing the light to the...

  14. in High Performance Computing Computer System, Cluster, and Networking...

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

    iSSH v. Auditd: Intrusion Detection in High Performance Computing Computer System, Cluster, and Networking Summer Institute David Karns, New Mexico State University Katy Protin,...

  15. Ovonic Hydrogen Systems LLC formerly Texaco Ovonic Hydrogen Systems LLC |

    Open Energy Info (EERE)

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

  16. BENCAP, LLC: CAPSULE VELOCITY TEST

    SciTech Connect (OSTI)

    Meidinger, Brian

    2005-09-07T23:59:59.000Z

    Ben Cap, LLC, has a technology that utilizes bebtonite to plug wells. The bentonite is encapsulated in a cardboard capsule, droped down to the bottom of the well where it is allowed to hydrate, causing the bentonite to expand and plug the well. This method of plugging a well is accepted in some, but not all states. This technology can save a significant amount of money when compared to cementing methods currently used to plug and abandon wells. The test objective was to obtain the terminal velocity of the capsule delivery system as it drops through a column of water in a wellbore. Once the terminal velocity is known, the bentonite swelling action can be timed not to begin swelling until it reaches the bottom of the well bore. The results of the test showed that an average speed of 8.93 plus or minus 0.12 ft/sec was achieved by the capsule as it was falling through a column of water. Plotting the data revealed a very linear function with the capsules achieving terminal velocity shortly after being released. The interference of the capsule impacting the casing was not readily apparent in any of the runs, but a siginal sampling anomaly was present in one run. Because the anomaly was so brief and not present in any of the other runs, no solid conclusions could be drawn. Additional testing would be required to determine the effects of capsules impacting a fluid level that is not at surface.

  17. A performance data network for solar process heat systems

    SciTech Connect (OSTI)

    Barker, G.; Hale, M.J.

    1996-03-01T23:59:59.000Z

    A solar process heat (SPH) data network has been developed to access remote-site performance data from operational solar heat systems. Each SPH system in the data network is outfitted with monitoring equipment and a datalogger. The datalogger is accessed via modem from the data network computer at the National Renewable Energy Laboratory (NREL). The dataloggers collect both ten-minute and hourly data and download it to the data network every 24-hours for archiving, processing, and plotting. The system data collected includes energy delivered (fluid temperatures and flow rates) and site meteorological conditions, such as solar insolation and ambient temperature. The SPH performance data network was created for collecting performance data from SPH systems that are serving in industrial applications or from systems using technologies that show promise for industrial applications. The network will be used to identify areas of SPH technology needing further development, to correlate computer models with actual performance, and to improve the credibility of SPH technology. The SPH data network also provides a centralized bank of user-friendly performance data that will give prospective SPH users an indication of how actual systems perform. There are currently three systems being monitored and archived under the SPH data network: two are parabolic trough systems and the third is a flat-plate system. The two trough systems both heat water for prisons; the hot water is used for personal hygiene, kitchen operations, and laundry. The flat plate system heats water for meat processing at a slaughter house. We plan to connect another parabolic trough system to the network during the first months of 1996. We continue to look for good examples of systems using other types of collector technologies and systems serving new applications (such as absorption chilling) to include in the SPH performance data network.

  18. FY 2011 Honeywell Federal Manufacturing & Technologies, LLC,...

    National Nuclear Security Administration (NNSA)

    Honeywell Federal Manufacturing & Technologies, LLC, PER Summary | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the...

  19. FY 2009 Honeywell Federal Manufacturing & Technologies, LLC,...

    National Nuclear Security Administration (NNSA)

    Honeywell Federal Manufacturing & Technologies, LLC, PER Summary | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the...

  20. FY 2010 Honeywell Federal Manufacturing & Technologies, LLC,...

    National Nuclear Security Administration (NNSA)

    Honeywell Federal Manufacturing & Technologies, LLC, PER Summary | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the...

  1. FY 2007 Honeywell Federal Manufacturing & Technologies, LLC,...

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

    Honeywell Federal Manufacturing & Technologies, LLC, PER Summary | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the...

  2. FY 2008 Honeywell Federal Manufacturing & Technologies, LLC,...

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

    Honeywell Federal Manufacturing & Technologies, LLC, PER Summary | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the...

  3. FY 2006 Honeywell Federal Manufacturing & Technologies, LLC,...

    National Nuclear Security Administration (NNSA)

    Honeywell Federal Manufacturing & Technologies, LLC, PER Summary | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the...

  4. amy trigger system: Topics by E-print Network

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

    and a Ph for Sustainable Financial Markets and Preventable Surprises; Jennifer Woolwich, pv recycling llc; Amberjae Freeman 407 Asad B. Sayeed, Jordan Boyd-Graber, Bryan Rusk, and...

  5. The architecture of a network level intrusion detection system

    SciTech Connect (OSTI)

    Heady, R.; Luger, G.; Maccabe, A.; Servilla, M. [New Mexico Univ., Albuquerque, NM (United States). Dept. of Computer Science

    1990-08-15T23:59:59.000Z

    This paper presents the preliminary architecture of a network level intrusion detection system. The proposed system will monitor base level information in network packets (source, destination, packet size, and time), learning the normal patterns and announcing anomalies as they occur. The goal of this research is to determine the applicability of current intrusion detection technology to the detection of network level intrusions. In particular, the authors are investigating the possibility of using this technology to detect and react to worm programs.

  6. Invenergy Wind LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtelInterias Solar Energy Jump to:IESInterval Data Systems IncIncWind LLC

  7. SolRayo LLC | Open Energy Information

    Open Energy Info (EERE)

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

  8. Nedak Ethanol LLC | Open Energy Information

    Open Energy Info (EERE)

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

  9. True Electric LLC | Open Energy Information

    Open Energy Info (EERE)

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

  10. Interconnecting PV on New York City's Secondary Network Distribution System

    SciTech Connect (OSTI)

    Anderson, K.; Coddington, M.; Burman, K.; Hayter, S.; Kroposki, B.; Watson, A.

    2009-12-01T23:59:59.000Z

    This study describes technical assistance provided by NREL to help New York City and Con Edison improve the interconnection of distributed PV systems on a secondary network distribution system.

  11. Optimal Integrated Control and Scheduling of Networked Control Systems with Communication

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Optimal Integrated Control and Scheduling of Networked Control Systems with Communication Abstract-- This paper addresses the problem of the optimal control and scheduling of Networked Control Systems over limited bandwidth deterministic networks. Multivariable linear systems subject

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

    E-Print Network [OSTI]

    Mochizuki, Yujiro, 1973-

    2006-01-01T23:59:59.000Z

    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 ...

  13. Neural Network Based Intelligent Sootblowing System

    SciTech Connect (OSTI)

    Mark Rhode

    2005-04-01T23:59:59.000Z

    Cost effective generation of electricity is vital to the economic growth and stability of this nation. To accomplish this goal a balanced portfolio of fuel sources must be maintained and established which not only addresses the cost of conversion of these energy sources to electricity, but also does so in an efficient and environmentally sound manner. Conversion of coal as an energy source to produce steam for a variety of systems has been a cornerstone of modern industry. However, the use of coal in combustion systems has traditionally produced unacceptable levels of gaseous and particulate emissions, albeit that recent combustion, removal and mitigation techniques have drastically reduced these levels. With the combustion of coal there is always the formation and deposition of ash and slag within the boilers. This adversely affects the rate at which heat is transferred to the working fluid, which in the case of electric generators is water/steam. The fouling of the boiler leads to poor efficiencies due to the fact that heat which could normally be transferred to the working fluid remains in the flue gas stream and exits to the environment without beneficial use. This loss in efficiency translates to higher consumption of fuel for equivalent levels of electric generation; hence more gaseous emissions are also produced. Another less obvious problem exists with fouling of various sections of the boiler creating intense peak temperatures within and around the combustion zone. Total nitrogen oxides (NOx) generation is primarily a function of both ''fuel'' and ''thermal'' NOx production. Fuel NOx which generally comprises 20%-40% of the total NOx generated is predominantly influenced by the levels of oxygen present, while thermal NOx which comprises the balance is a function of temperature. As the fouling of the boiler increases and the rate of heat transfer decreases, peak temperatures increase as does the thermal NOx production. Due to the composition of coal, particulate matter is also a by-product of coal combustion. Modern day utility boilers are usually fitted with electrostatic precipitators to aid in the collection of particulate matter. Although extremely efficient, these devices are sensitive to rapid changes in inlet mass concentration as well as total mass loading. Traditionally, utility boilers are equipped with devices known as sootblowers, which use, steam, water or air to dislodge and clean the surfaces within the boiler and are operated based upon established rule or operator's judgment. Poor sootblowing regimes can influence particulate mass loading to the electrostatic precipitators. The project applied a neural network intelligent sootblowing system in conjunction with state-of-the-art controls and instruments to optimize the operation of a utility boiler and systematically control boiler slagging/fouling. This optimization process targeted reduction of NOx of 30%, improved efficiency of 2% and a reduction in opacity of 5%. The neural network system proved to be a non-invasive system which can readily be adapted to virtually any utility boiler. Specific conclusions from this neural network application are listed below. These conclusions should be used in conjunction with the specific details provided in the technical discussions of this report to develop a thorough understanding of the process.

  14. 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.

    2009-09-01T23:59:59.000Z

    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.

  15. Power-Supply-Network Design in 3D Integrated Systems

    E-Print Network [OSTI]

    Lim, Sung Kyu

    Power-Supply-Network Design in 3D Integrated Systems Michael B. Healy and Sung Kyu Lim School power-supply noise in a layout- level 3D design prototype, and the impact of possible 3D-specific changes to the power-supply network design and topology. Our results show that distributing power-supply

  16. Component criticality in failure cascade processes of network systems

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    considered. KEYWORDS: Complex Infrastructures Vulnerability, Cascade Failures, Criticality Indicators of the cascade. For example, in electrical power transmission networks a cascade of events leading to blackout failures are a major threat to distributed, interconnected systems such as power transmission networks(1

  17. Consensus Computation in Unreliable Networks: A System Theoretic Approach

    E-Print Network [OSTI]

    Bullo, Francesco

    the presence in a network of weakly interconnected subparts, and provides computationally efficient detection of the interconnection structure. I. INTRODUCTION Distributed systems and networks have received much attention to be accomplished by autonomous agents is to agree upon some parameters. Agreement variables represent quantities

  18. Supply Chain Network Design of a Sustainable Blood Banking System

    E-Print Network [OSTI]

    Nagurney, Anna

    Supply Chain Network Design of a Sustainable Blood Banking System Anna Nagurney and Amir H. Masoumi a sustainable network design / redesign model for the complex supply chain of human blood, which is a valuable yet highly perish- able product. Specifically, we consider the optimal design (or redesign) of a blood

  19. Decentralized Control Framework for Networked Control Systems Ahmed Elmahdi

    E-Print Network [OSTI]

    Sun, Dengfeng

    understand and interact with large-scale decentralized modern control systems. To mention a few, large- opment of distributed control systems. These modern systems which include sensors and actuatorsDecentralized Control Framework for Networked Control Systems Ahmed Elmahdi , Ahmad F Taha

  20. Port-Hamiltonian systems: network modeling and control of nonlinear physical systems

    E-Print Network [OSTI]

    Schaft, Arjan van der

    Port-Hamiltonian systems: network modeling and control of nonlinear physical systems A.J. van der systems (multi-body systems, electrical circuits, electromechanical systems, ..) naturally leads to a geometrically defined class of systems, called port-Hamiltonian systems. These are Hamiltonian systems defined

  1. Decision support systems and methods for complex networks

    DOE Patents [OSTI]

    Huang, Zhenyu (Richland, WA); Wong, Pak Chung (Richland, WA); Ma, Jian (Richland, WA); Mackey, Patrick S (Richland, WA); Chen, Yousu (Richland, WA); Schneider, Kevin P (Seattle, WA)

    2012-02-28T23:59:59.000Z

    Methods and systems for automated decision support in analyzing operation data from a complex network. Embodiments of the present invention utilize these algorithms and techniques not only to characterize the past and present condition of a complex network, but also to predict future conditions to help operators anticipate deteriorating and/or problem situations. In particular, embodiments of the present invention characterize network conditions from operation data using a state estimator. Contingency scenarios can then be generated based on those network conditions. For at least a portion of all of the contingency scenarios, risk indices are determined that describe the potential impact of each of those scenarios. Contingency scenarios with risk indices are presented visually as graphical representations in the context of a visual representation of the complex network. Analysis of the historical risk indices based on the graphical representations can then provide trends that allow for prediction of future network conditions.

  2. STABLE SYNCHRONIZATION OF MECHANICAL SYSTEM NETWORKS

    E-Print Network [OSTI]

    Nair, Sujit

    such as unmanned helicopters or underwater vehicles, stability of individual dynamics can be important and challeng]) on unmanned aerial vehicle motion planning is presented for identical multiple-vehicle stabilization and underwater vehicle network dynamics. Stability of a network of rotat

  3. Freeport LNG Expansion, L.P., FLNG Liquefaction, LLC, FLNG Liquefactio...

    Office of Environmental Management (EM)

    LLC, FLNG Liquefaction 2, LLC and FLNG Liquefaction 3, LLC - 14-005-CIC Freeport LNG Expansion, L.P., FLNG Liquefaction, LLC, FLNG Liquefaction 2, LLC and FLNG Liquefaction...

  4. Model Specification for Networked Outdoor Lighting Control Systems

    Broader source: Energy.gov [DOE]

    The DOE Municipal Solid-State Street Lighting Consortium's Model Specification for Networked Outdoor Lighting Control Systems is a tool designed to help cities, utilities, and other local agencies...

  5. analysis code system: Topics by E-print Network

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

    We define the user Erkip, Elza 2 A Network Approach to the French System of Legal codes Part I: Analysis Physics Websites Summary: vertices) of codes covering large domains...

  6. Regular Symbolic Analysis of Dynamic Networks of Pushdown Systems

    E-Print Network [OSTI]

    MĂĽller-Olm, Markus

    Regular Symbolic Analysis of Dynamic Networks of Pushdown Systems Ahmed Bouajjani1, Markus M¨uller-Olm Bouajjani, Markus M¨uller-Olm, and Tayssir Touili parallel calls. In a multithreaded program such a command

  7. Regular Symbolic Analysis of Dynamic Networks of Pushdown Systems

    E-Print Network [OSTI]

    MĂĽller-Olm, Markus

    Regular Symbolic Analysis of Dynamic Networks of Pushdown Systems Ahmed Bouajjani 1 , Markus MË?uller­Olm #12; 474 Ahmed Bouajjani, Markus MË?uller­Olm, and Tayssir Touili parallel calls. In a multithreaded

  8. Regular Symbolic Analysis of Dynamic Networks of Pushdown Systems

    E-Print Network [OSTI]

    Touili, Tayssir

    Regular Symbolic Analysis of Dynamic Networks of Pushdown Systems Ahmed Bouajjani 1 , Markus MË?uller­Olm Bouajjani, Markus MË?uller­Olm, and Tayssir Touili parallel calls. In a multithreaded program such a command

  9. Regular Symbolic Analysis of Dynamic Networks of Pushdown Systems

    E-Print Network [OSTI]

    MĂĽller-Olm, Markus

    Regular Symbolic Analysis of Dynamic Networks of Pushdown Systems Ahmed Bouajjani1, Markus M¨uller-Olm #12;474 Ahmed Bouajjani, Markus M¨uller-Olm, and Tayssir Touili parallel calls. In a multithreaded

  10. Predictive Compensation for Communication Outages in Networked Control Systems

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Predictive Compensation for Communication Outages in Networked Control Systems Erik Henriksson Henrik Sandberg Karl Henrik Johansson Abstract-- A predictive outage compensator co time instance, the predictive outage compensator suggests a replacement command based on the history

  11. Providing ordered message delivery in communication network systems

    E-Print Network [OSTI]

    Rivera-Hernandez, Julio A

    1995-01-01T23:59:59.000Z

    PROVIDING ORDERED MESSAGE DELIVERY IN COMMUNICATION NETWORK SYSTEMS A Thesis by JULI0 A. RIVERA-HERNANDEZ Submitted to the Oflice of Graduate Studies of Texas AkM University in partial fulfillment of the requirements for the degree of MASTER... OF SCIENCE May 1995 Major Subject: Computer Science PROVIDING ORDERED MESSAGE DELIVERY IN COMMUNICATION NETWORK SYSTEMS A Thesis by JULIO A. RIVERA-HERNANDEZ Submitted to Texas ARM University in partial fulfillment of the requirements for the degree...

  12. Neural network based design of cellular manufacturing systems

    E-Print Network [OSTI]

    Ramachandran, Satheesh

    1990-01-01T23:59:59.000Z

    NEURAL NETWORK BASED DESIGN OF CELLULAR MANUFACTURING SYSTEMS A Thesis by SATHEESH RAMACHANDRAN Submitted to the Office of Graduate Studies of' Texas ASM University in partial fulfilltnent of the requirements for the degree of MASTER... OF SCIENCE December 1990 Major Subject: Industrial Engineering NEURAL NETWORK BASED DESIGN OF CELLULAR MANUFACTURING SYSTEMS A Thesis by SATHEESH RAMACHAiVDRAN Approved as to style and content by: Ce r O. Malav (Chair of Committee) T. Hsing...

  13. Seneca Creek Associates, LLC Wood Resources International, LLC "Illegal" Logging and Global Wood Markets

    E-Print Network [OSTI]

    Seneca Creek Associates, LLC Wood Resources International, LLC "Illegal" Logging and Global Wood@aol.com; hekstrom@wri-ltd.com October, 2004 #12;Page ES - 1 Illegal Logging and Global Wood Markets: The Competitive, LLC Executive Summary Illegal logging has been high on the agenda, if not directly at the center

  14. Seneca Creek Associates, LLC Wood Resources International, LLC "Illegal" Logging and Global Wood Markets

    E-Print Network [OSTI]

    Seneca Creek Associates, LLC Wood Resources International, LLC SUMMARY "Illegal" Logging and Global Resources International, LLC Illegal Logging and Global Wood Markets: The Competitive Impacts on the U.S. Wood Products Industry1 Summary Study Objectives Illegal logging and illegal forest activities, in one

  15. Wireless Networked Control System using IEEE 802.15.4 with GTS Najet Boughanmi

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Wireless Networked Control System using IEEE 802.15.4 with GTS Najet Boughanmi LORIA.rondeau@cran.uhp-nancy.fr Abstract In this paper, the suitability of wireless sensor networks for networked control loop is shown because of the network wires. Wireless Networked Control Systems (WNCS) are an alternative to overcome

  16. Systems and methods for modeling and analyzing networks

    DOE Patents [OSTI]

    Hill, Colin C; Church, Bruce W; McDonagh, Paul D; Khalil, Iya G; Neyarapally, Thomas A; Pitluk, Zachary W

    2013-10-29T23:59:59.000Z

    The systems and methods described herein utilize a probabilistic modeling framework for reverse engineering an ensemble of causal models, from data and then forward simulating the ensemble of models to analyze and predict the behavior of the network. In certain embodiments, the systems and methods described herein include data-driven techniques for developing causal models for biological networks. Causal network models include computational representations of the causal relationships between independent variables such as a compound of interest and dependent variables such as measured DNA alterations, changes in mRNA, protein, and metabolites to phenotypic readouts of efficacy and toxicity.

  17. EIA - Natural Gas Pipeline Network - Network Configuration & System Design

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688 760,877 951,322Development &Region/StateNetwork

  18. Department of Energy Cites Brookhaven Science Associates, LLC...

    Energy Savers [EERE]

    Brookhaven Science Associates, LLC for Worker Safety and Health Violations Department of Energy Cites Brookhaven Science Associates, LLC for Worker Safety and Health Violations...

  19. Department of Energy Cites Battelle Energy Alliance, LLC for...

    Energy Savers [EERE]

    Battelle Energy Alliance, LLC for Nuclear Safety and Radiation Protection Violations Department of Energy Cites Battelle Energy Alliance, LLC for Nuclear Safety and Radiation...

  20. Facility Engineering Services Kansas City Plant LLC KCP September...

    Office of Environmental Management (EM)

    Facility Engineering Services KCP, LLC DOE-VPP Onsite Review September 2012 Facility Engineering Services KCP, LLC Report from the Department of Energy Voluntary Protection Program...

  1. Mesquite Solar 1, LLC (Sempra Mesquite) | Department of Energy

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

    Mesquite Solar 1, LLC (Sempra Mesquite) Location: Maricopa County, AZ Eligibility: 1705 Snapshot In September 2011, the Department of Energy issued Mesquite Solar 1, LLC a 337...

  2. EIS-0412: TX Energy, LLC, Industrial Gasification Facility Near...

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

    2: TX Energy, LLC, Industrial Gasification Facility Near Beaumont, TX EIS-0412: TX Energy, LLC, Industrial Gasification Facility Near Beaumont, TX February 18, 2009 EIS-0412:...

  3. EA-1692: Red River Environmental Products, LLC Activated Carbon...

    Office of Environmental Management (EM)

    2: Red River Environmental Products, LLC Activated Carbon Manufacturing Facility, Red River Parish, LA EA-1692: Red River Environmental Products, LLC Activated Carbon Manufacturing...

  4. Sandia National Laboratories: MOgene Green Chemicals LLC

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

    MOgene Green Chemicals LLC Sandia to Partner with MOgene Green Chemicals on ARPA-E REMOTE Project On October 2, 2013, in Energy, News, News & Events, Partnership, Research &...

  5. Annova LNG, LLC- 14-004-CIC

    Broader source: Energy.gov [DOE]

    Application of Annova LNG, LLC to Transfer Control of Long-term Authorization to Export LNG to Free Trade Agreement Nations and Request for Expedited Treatment.

  6. Bayesian Networks and Evidence Theory to Model Complex Systems Reliability

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , infrastructure of water distribution or electricity. The reliability studies of such systems are consequentlyBayesian Networks and Evidence Theory to Model Complex Systems Reliability Ch. SIMON, Ph. WEBER, E.levrat}@cran.uhp-nancy.fr Abstract-- This paper deals with the use of Bayesian Net- works to compute system reliability of complex

  7. Simplification of Network Dynamics in Large Systems

    E-Print Network [OSTI]

    Lin, Xiaojun

    of Electrical and Computer Engineering Purdue University West Lafayette, IN 47906, U.S.A. Email: linx, shroff) of an appropriately chosen static pric- ing scheme, whose price is independent of the current network uti- lization

  8. An optimization procedure for network planning systems

    E-Print Network [OSTI]

    Madrigal, Orlando Sia

    1967-01-01T23:59:59.000Z

    Network (After step 5) 14. Sample CPM Network (After step 6) 15. Main Program 16. Subroutine Orland 17. Subroutine Fincpm 18. Subroutine Phil . ~ . . . . ~ . ~ 19. Subroutine Crpath 20. Subroutine Merge Page 10 12 19 21 22 27 42 43 44 46... that the input data may be processed by subroutine Fincpm which takes care of the CPM calculations. Subroutine Phil merges the results obtained from subroutine Fincpm to incorporate the cost parameters related to each activity. The output of subroutine Phil...

  9. Networked VAX/LSI/CAMAC data acquisition system development

    SciTech Connect (OSTI)

    Melvin, J.D.; Clark, D.L.; Mendenhall, M.H.; Tombrello, T.A.

    1983-10-01T23:59:59.000Z

    Recent development of the Caltech data acquisition system installed in 1981, which runs on a VAX-11/750, a Peritek Q-bus network, LSI-11s, and CAMAC, is described. In this system, the DEC VMS and RT-11 operating systems are supported on the VAX ''host'' and LSI-11 ''front-end'' computers by a VMS device driver and network host program, and a bootable RT-11 device driver. Network ''utility'' and ''control'' programs provide general purpose support for communication between front-end and host software. Data acquisition software tools are provided for writing programs to run nuclear physics experiments. A system similar to Caltech's was installed at the University of Rochester in 1982. The network has been tested for speed and real-time response. After including all software overhead required by data acquisition, it was found that the system could transfer buffers and acknowledge their receipt at a net speed of 127 KB per second with a 35% load on the host computer. The network software is currently being rehosted on Ethernet hardware at Caltech in a multiple host - many front-end computer configuration. Compatibility with the current Peritek network software will be maintained.

  10. Threshold Verification Technique for Network Intrusion Detection System

    E-Print Network [OSTI]

    Faizal, M A; Shahrin, S; Robiah, Y; Rahayu, S Siti; Nazrulazhar, B

    2009-01-01T23:59:59.000Z

    Internet has played a vital role in this modern world, the possibilities and opportunities offered are limitless. Despite all the hype, Internet services are liable to intrusion attack that could tamper the confidentiality and integrity of important information. An attack started with gathering the information of the attack target, this gathering of information activity can be done as either fast or slow attack. The defensive measure network administrator can take to overcome this liability is by introducing Intrusion Detection Systems (IDSs) in their network. IDS have the capabilities to analyze the network traffic and recognize incoming and on-going intrusion. Unfortunately the combination of both modules in real time network traffic slowed down the detection process. In real time network, early detection of fast attack can prevent any further attack and reduce the unauthorized access on the targeted machine. The suitable set of feature selection and the correct threshold value, add an extra advantage for I...

  11. Interconnecting PV on New York City's Secondary Network Distribution System

    SciTech Connect (OSTI)

    K. Anderson; M. Coddington; K. Burman; S. Hayter; B. Kroposki; and A. Watson

    2009-11-30T23:59:59.000Z

    The U.S. Department of Energy (DOE) has teamed with cities across the country through the Solar America Cities (SAC) partnership program to help reduce barriers and accelerate implementation of solar energy. The New York City SAC team is a partnership between the City University of New York (CUNY), the New York City Mayor s Office of Long-term Planning and Sustainability, and the New York City Economic Development Corporation (NYCEDC).The New York City SAC team is working with DOE s National Renewable Energy Laboratory (NREL) and Con Edison, the local utility, to develop a roadmap for photovoltaic (PV) installations in the five boroughs. The city set a goal to increase its installed PV capacity from1.1 MW in 2005 to 8.1 MW by 2015 (the maximum allowed in 2005). A key barrier to reaching this goal, however, is the complexity of the interconnection process with the local utility. Unique challenges are associated with connecting distributed PV systems to secondary network distribution systems (simplified to ���¢��������networks���¢������� in this report). Although most areas of the country use simpler radial distribution systems to distribute electricity, larger metropolitan areas like New York City typically use networks to increase reliability in large load centers. Unlike the radial distribution system, where each customer receives power through a single line, a network uses a grid of interconnected lines to deliver power to each customer through several parallel circuits and sources. This redundancy improves reliability, but it also requires more complicated coordination and protection schemes that can be disrupted by energy exported from distributed PV systems. Currently, Con Edison studies each potential PV system in New York City to evaluate the system s impact on the network, but this is time consuming for utility engineers and may delay the customer s project or add cost for larger installations. City leaders would like to streamline this process to facilitate faster, simpler, and less expensive distributed PV system interconnections. To assess ways to improve the interconnection process, NREL conducted a four-part study with support from DOE. The NREL team then compiled the final reports from each study into this report. In Section 1���¢��������PV Deployment Analysis for New York City���¢��������we analyze the technical potential for rooftop PV systems in the city. This analysis evaluates potential PV power production in ten Con Edison networks of various locations and building densities (ranging from high density apartments to lower density single family homes). Next, we compare the potential power production to network loads to determine where and when PV generation is most likely to exceed network load and disrupt network protection schemes. The results of this analysis may assist Con Edison in evaluating future PV interconnection applications and in planning future network protection system upgrades. This analysis may also assist other utilities interconnecting PV systems to networks by defining a method for assessing the technical potential of PV in the network and its impact on network loads. Section 2���¢��������A Briefing for Policy Makers on Connecting PV to a Network Grid���¢��������presents an overview intended for nontechnical stakeholders. This section describes the issues associated with interconnecting PV systems to networks, along with possible solutions. Section 3���¢��������Technical Review of Concerns and Solutions to PV Interconnection in New Y

  12. Innovative Systems Engineering Solar LLC ISE Solar LLC | Open Energy

    Open Energy Info (EERE)

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

  13. Optimal Control of Discrete-Time Linear Systems with Network-Induced Varying Delay

    E-Print Network [OSTI]

    importance in modern systems applications. However, most traditional digital control and algorithmsOptimal Control of Discrete-Time Linear Systems with Network-Induced Varying Delay Hiroyuki Hirano for networked control systems, that have network induced time delay in the communication networks. In our

  14. A Hybrid Authentication and Authorization Process for Control System Networks

    SciTech Connect (OSTI)

    Manz, David O.; Edgar, Thomas W.; Fink, Glenn A.

    2010-08-25T23:59:59.000Z

    Convergence of control system and IT networks require that security, privacy, and trust be addressed. Trust management continues to plague traditional IT managers and is even more complex when extended into control system networks, with potentially millions of entities, a mission that requires 100% availability. Yet these very networks necessitate a trusted secure environment where controllers and managers can be assured that the systems are secure and functioning properly. We propose a hybrid authentication management protocol that addresses the unique issues inherent within control system networks, while leveraging the considerable research and momentum in existing IT authentication schemes. Our hybrid authentication protocol for control systems provides end device to end device authentication within a remote station and between remote stations and control centers. Additionally, the hybrid protocol is failsafe and will not interrupt communication or control of vital systems in a network partition or device failure. Finally, the hybrid protocol is resilient to transitory link loss and can operate in an island mode until connectivity is reestablished.

  15. On Cyber Security for Networked Control Systems

    E-Print Network [OSTI]

    Amin, Saurabh

    2011-01-01T23:59:59.000Z

    optimal control and stabilization for linear systems with bounded controloptimal switching control for abstract linear systems onoptimal control for discrete-time, linear dynamical systems in which control

  16. On Cyber Security for Networked Control Systems

    E-Print Network [OSTI]

    Amin, Saurabh

    2011-01-01T23:59:59.000Z

    her students on security of process control systems. I amcyber-security tools for process control systems. In theon the security mechanisms of process control systems, few

  17. Autonomous Undersea Systems Network (AUSNet) Protocols To Support Ad-Hoc AUV Communications

    E-Print Network [OSTI]

    semi-autonomous networked robots. Emerging flexible low bandwidth, energy efficient architectures opposed to network support) data transmissions. Current efforts are focused on transitionAutonomous Undersea Systems Network (AUSNet) ­ Protocols To Support Ad-Hoc AUV Communications

  18. 1104 IEEE Transactions on Power Systems, Vol. 10, No. 2, May 1995 SUPERVISORYCONTROLOFELECTRIC POWERTRANSMISSION NETWORKS

    E-Print Network [OSTI]

    -restoration problem, aiming to increase the steady-state security level of a power network during restoration for largepower networks. Keywords: Discrete Event Systems, Static Security Assessment, Line security levelthroughout the restorationprocess. Specificallywe use a lbbus, 40-line transmission network

  19. Applying New Network Security Technologies to SCADA Systems.

    SciTech Connect (OSTI)

    Hurd, Steven A.; Stamp, Jason E. [Sandia National Laboratories, Albuquerque, NM] [Sandia National Laboratories, Albuquerque, NM; Duggan, David P. [Sandia National Laboratories, Albuquerque, NM] [Sandia National Laboratories, Albuquerque, NM; Chavez, Adrian R. [Sandia National Laboratories, Albuquerque, NM] [Sandia National Laboratories, Albuquerque, NM

    2006-11-01T23:59:59.000Z

    Supervisory Control and Data Acquisition (SCADA) systems for automation are very important for critical infrastructure and manufacturing operations. They have been implemented to work in a number of physical environments using a variety of hardware, software, networking protocols, and communications technologies, often before security issues became of paramount concern. To offer solutions to security shortcomings in the short/medium term, this project was to identify technologies used to secure %22traditional%22 IT networks and systems, and then assess their efficacy with respect to SCADA systems. These proposed solutions must be relatively simple to implement, reliable, and acceptable to SCADA owners and operators. 4This page intentionally left blank.

  20. Interactivity vs. fairness in networked linux systems

    SciTech Connect (OSTI)

    Wu, Wenji; Crawford, Matt; /Fermilab; ,

    2007-01-01T23:59:59.000Z

    In general, the Linux 2.6 scheduler can ensure fairness and provide excellent interactive performance at the same time. However, our experiments and mathematical analysis have shown that the current Linux interactivity mechanism tends to incorrectly categorize non-interactive network applications as interactive, which can lead to serious fairness or starvation issues. In the extreme, a single process can unjustifiably obtain up to 95% of the CPU! The root cause is due to the facts that: (1) network packets arrive at the receiver independently and discretely, and the 'relatively fast' non-interactive network process might frequently sleep to wait for packet arrival. Though each sleep lasts for a very short period of time, the wait-for-packet sleeps occur so frequently that they lead to interactive status for the process. (2) The current Linux interactivity mechanism provides the possibility that a non-interactive network process could receive a high CPU share, and at the same time be incorrectly categorized as 'interactive.' In this paper, we propose and test a possible solution to address the interactivity vs. fairness problems. Experiment results have proved the effectiveness of the proposed solution.

  1. A Learning System for Discriminating Variants of Malicious Network Traffic

    SciTech Connect (OSTI)

    Beaver, Justin M [ORNL; Symons, Christopher T [ORNL; Gillen, Rob [ORNL

    2013-01-01T23:59:59.000Z

    Modern computer network defense systems rely primarily on signature-based intrusion detection tools, which generate alerts when patterns that are pre-determined to be malicious are encountered in network data streams. Signatures are created reactively, and only after in-depth manual analysis of a network intrusion. There is little ability for signature-based detectors to identify intrusions that are new or even variants of an existing attack, and little ability to adapt the detectors to the patterns unique to a network environment. Due to these limitations, the need exists for network intrusion detection techniques that can more comprehensively address both known unknown networkbased attacks and can be optimized for the target environment. This work describes a system that leverages machine learning to provide a network intrusion detection capability that analyzes behaviors in channels of communication between individual computers. Using examples of malicious and non-malicious traffic in the target environment, the system can be trained to discriminate between traffic types. The machine learning provides insight that would be difficult for a human to explicitly code as a signature because it evaluates many interdependent metrics simultaneously. With this approach, zero day detection is possible by focusing on similarity to known traffic types rather than mining for specific bit patterns or conditions. This also reduces the burden on organizations to account for all possible attack variant combinations through signatures. The approach is presented along with results from a third-party evaluation of its performance.

  2. Inventory management with dynamic Bayesian network software systems

    E-Print Network [OSTI]

    Barker, Jon

    Inventory management with dynamic Bayesian network software systems Mark Taylor1 and Charles Fox2 1.fox@sheffield.ac.uk Abstract. Inventory management at a single or multiple levels of a supply chain is usually performed-the-shelf graphical software systems. We show how such sys- tems may be deployed to model a simple inventory problem

  3. ESTIMATION OF DELAY PROPAGATION IN AVIATION SYSTEM USING BAYESIAN NETWORK

    E-Print Network [OSTI]

    delays is a major long-term objective of the Federal Aviation Administration (FAA). As demand1 ESTIMATION OF DELAY PROPAGATION IN AVIATION SYSTEM USING BAYESIAN NETWORK Ning Xu, George Donohue problems in the current aviation system. Methods are needed to analyze the manner in which micro

  4. Evolving an Indoor Robotic Localization System Based on Wireless Networks

    E-Print Network [OSTI]

    Braun, Torsten

    of indoor robotic localization. We investigate the design and building of an autonomous localization system provides the position of one robot in a space, as in a Cartesian plane, corroborating with the EvoEvolving an Indoor Robotic Localization System Based on Wireless Networks Gustavo Pessin1

  5. Neural Network Based Intrusion Detection System for Critical Infrastructures

    SciTech Connect (OSTI)

    Todd Vollmer; Ondrej Linda; Milos Manic

    2009-07-01T23:59:59.000Z

    Resiliency and security in control systems such as SCADA and Nuclear plant’s in today’s world of hackers and malware are a relevant concern. Computer systems used within critical infrastructures to control physical functions are not immune to the threat of cyber attacks and may be potentially vulnerable. Tailoring an intrusion detection system to the specifics of critical infrastructures can significantly improve the security of such systems. The IDS-NNM – Intrusion Detection System using Neural Network based Modeling, is presented in this paper. The main contributions of this work are: 1) the use and analyses of real network data (data recorded from an existing critical infrastructure); 2) the development of a specific window based feature extraction technique; 3) the construction of training dataset using randomly generated intrusion vectors; 4) the use of a combination of two neural network learning algorithms – the Error-Back Propagation and Levenberg-Marquardt, for normal behavior modeling. The presented algorithm was evaluated on previously unseen network data. The IDS-NNM algorithm proved to be capable of capturing all intrusion attempts presented in the network communication while not generating any false alerts.

  6. Robust Performance of Soft Real-time Networked Control Systems with Data Dropouts 1

    E-Print Network [OSTI]

    Lemmon, Michael

    Robust Performance of Soft Real-time Networked Control Systems with Data Dropouts 1 Qiang Ling, . This class of systems is a model for soft real-time control systems in which the feedback path is implemented, the networked control system becomes a soft real-time system. In soft real-time networks, data packets may

  7. Greensleeves LLC Greensleeves Technology

    E-Print Network [OSTI]

    Remember that GHX are great for time shifting energy, but not so great as cooling towers: Full size GHX and overly costly · GHX's are really, really expensive cooling towers · How can we do this better? Confiden amounts of energy (like a "flux capacitor") giving us a thermal flywheel effect · GeoHP Systems can "time

  8. GWE LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489InformationFrenchtown, NewG2 EnergyGISGSA JumpGTP ARRAGWE LLC

  9. Genesys LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489InformationFrenchtown,Jump to: navigation,Holding CoLLC

  10. AXI LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapersWindey Wind6:00-06:00 U.S.ratios inAS 42.05,AXI LLC Jump to:

  11. Wader LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown ofNationwide Permit webpage Jump to:Wachapreague, Virginia:Hampton,Wader LLC

  12. Segway LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt Ltd JumpInformationScotts Corners, NewSeeger Engineering AGSegway LLC Jump

  13. Fibrominn LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOEHazelPennsylvania:57427°,Ferry County, Washington: EnergyFibrominn LLC Jump

  14. Fibrowatt LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOEHazelPennsylvania:57427°,Ferry County, Washington: EnergyFibrominn LLC

  15. IBIS LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty, Texas: EnergyHy9Moat ofEnergy52 -IBIS LLC Jump to:

  16. Phycal LLC | Open Energy Information

    Open Energy Info (EERE)

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

  17. Renewafuel LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ | RoadmapRenewable Energyobtained fromRenewafuel LLC Jump

  18. Smallfoot, LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |RippeyInformation SlimSlough Heat andSmallFoot LLC

  19. HCE LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetec AG| Open EnergyGuntersville ElectricControlon State - LandScanHCE LLC

  20. OPC LLC | Open Energy Information

    Open Energy Info (EERE)

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

  1. Switch LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries PvtStratosolar Jump to:Holdings Co08.0 - Warehouses 73.0 -SwiftSwissvale,Switch LLC

  2. TIAX LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries PvtStratosolar Jump to:Holdings Co08.0 -TEEMP Jump to:TIAX LLC Jump to: navigation,

  3. Terrabon LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries PvtStratosolar JumpTennessee/Wind Resources < TennesseeTerrabon LLC Jump to:

  4. Liqcrytech LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |Jilin ZhongdiantouLichuan CityLiqcrytech LLC Jump to: navigation,

  5. Tao LLC | Open Energy Information

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

  6. BSST LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass Conversions Inc JumpIM 2011-003 Jump to: JumpBPL Global JumpBSST LLC Jump

  7. Alte LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDITCaliforniaWeifangwikiAgouraAlbatech srl JumpSolar,AlphabetAlte LLC

  8. A Wireless Sensor Network Air Pollution Monitoring System

    E-Print Network [OSTI]

    Khedo, Kavi K; Mungur, Avinash; Mauritius, University of; Mauritius,; 10.5121/ijwmn.2010.2203

    2010-01-01T23:59:59.000Z

    Sensor networks are currently an active research area mainly due to the potential of their applications. In this paper we investigate the use of Wireless Sensor Networks (WSN) for air pollution monitoring in Mauritius. With the fast growing industrial activities on the island, the problem of air pollution is becoming a major concern for the health of the population. We proposed an innovative system named Wireless Sensor Network Air Pollution Monitoring System (WAPMS) to monitor air pollution in Mauritius through the use of wireless sensors deployed in huge numbers around the island. The proposed system makes use of an Air Quality Index (AQI) which is presently not available in Mauritius. In order to improve the efficiency of WAPMS, we have designed and implemented a new data aggregation algorithm named Recursive Converging Quartiles (RCQ). The algorithm is used to merge data to eliminate duplicates, filter out invalid readings and summarise them into a simpler form which significantly reduce the amount of dat...

  9. Quantifying sudden changes in dynamical systems using symbolic networks

    E-Print Network [OSTI]

    Masoller, Cristina; Ayad, Sarah; Gustave, Francois; Barland, Stephane; Pons, Antonio J; Gómez, Sergio; Arenas, Alex

    2015-01-01T23:59:59.000Z

    We characterise the evolution of a dynamical system by combining two well-known complex systems' tools, namely, symbolic ordinal analysis and networks. From the ordinal representation of a time-series we construct a network in which every node weights represents the probability of an ordinal patterns (OPs) to appear in the symbolic sequence and each edges weight represents the probability of transitions between two consecutive OPs. Several network-based diagnostics are then proposed to characterize the dynamics of different systems: logistic, tent and circle maps. We show that these diagnostics are able to capture changes produced in the dynamics as a control parameter is varied. We also apply our new measures to empirical data from semiconductor lasers and show that they are able to anticipate the polarization switchings, thus providing early warning signals of abrupt transitions.

  10. Quantifying sudden changes in dynamical systems using symbolic networks

    E-Print Network [OSTI]

    Cristina Masoller; Yanhua Hong; Sarah Ayad; Francois Gustave; Stephane Barland; Antonio J. Pons; Sergio Gómez; Alex Arenas

    2015-01-27T23:59:59.000Z

    We characterise the evolution of a dynamical system by combining two well-known complex systems' tools, namely, symbolic ordinal analysis and networks. From the ordinal representation of a time-series we construct a network in which every node weights represents the probability of an ordinal patterns (OPs) to appear in the symbolic sequence and each edges weight represents the probability of transitions between two consecutive OPs. Several network-based diagnostics are then proposed to characterize the dynamics of different systems: logistic, tent and circle maps. We show that these diagnostics are able to capture changes produced in the dynamics as a control parameter is varied. We also apply our new measures to empirical data from semiconductor lasers and show that they are able to anticipate the polarization switchings, thus providing early warning signals of abrupt transitions.

  11. An artificial neural network controller for intelligent transportation systems applications

    SciTech Connect (OSTI)

    Vitela, J.E.; Hanebutte, U.R.; Reifman, J. [Argonne National Lab., IL (United States). Reactor Analysis Div.

    1996-04-01T23:59:59.000Z

    An Autonomous Intelligent Cruise Control (AICC) has been designed using a feedforward artificial neural network, as an example for utilizing artificial neural networks for nonlinear control problems arising in intelligent transportation systems applications. The AICC is based on a simple nonlinear model of the vehicle dynamics. A Neural Network Controller (NNC) code developed at Argonne National Laboratory to control discrete dynamical systems was used for this purpose. In order to test the NNC, an AICC-simulator containing graphical displays was developed for a system of two vehicles driving in a single lane. Two simulation cases are shown, one involving a lead vehicle with constant velocity and the other a lead vehicle with varying acceleration. More realistic vehicle dynamic models will be considered in future work.

  12. System for testing properties of a network

    DOE Patents [OSTI]

    Rawle, Michael (Springville, UT); Bartholomew, David B. (Springville, UT); Soares, Marshall A. (Taylorsville, UT)

    2009-06-16T23:59:59.000Z

    A method for identifying properties of a downhole electromagnetic network in a downhole tool sting, including the step of providing an electromagnetic path intermediate a first location and a second location on the electromagnetic network. The method further includes the step of providing a receiver at the second location. The receiver includes a known reference. The analog signal includes a set amplitude, a set range of frequencies, and a set rate of change between the frequencies. The method further includes the steps of sending the analog signal, and passively modifying the signal. The analog signal is sent from the first location through the electromagnetic path, and the signal is modified by the properties of the electromagnetic path. The method further includes the step of receiving a modified signal at the second location and comparing the known reference to the modified signal.

  13. On Cyber Security for Networked Control Systems

    E-Print Network [OSTI]

    Amin, Saurabh

    2011-01-01T23:59:59.000Z

    cyber-security analysis of the SCADA system of the Gignac water distributioncyber security of SCADA systems managing other infrastructures (e.g. , oil and natural gas distribution

  14. Application of local area networks to accelerator control systems at the Stanford Linear Accelerator

    SciTech Connect (OSTI)

    Fox, J.D.; Linstadt, E.; Melen, R.

    1983-03-01T23:59:59.000Z

    The history and current status of SLAC's SDLC networks for distributed accelerator control systems are discussed. These local area networks have been used for instrumentation and control of the linear accelerator. Network topologies, protocols, physical links, and logical interconnections are discussed for specific applications in distributed data acquisition and control system, computer networks and accelerator operations.

  15. Application of local area networks to accelerator control systems at the Stanford linear accelerator

    SciTech Connect (OSTI)

    Fox, J.D.; Linstadt, E.; Melen, R.

    1983-08-01T23:59:59.000Z

    The history and current status of SLAC's SDLC networks for distributed accelerator control systems are discussed. These local area networks have been used for instrumentation and control of the linear accelerator. Network topologies, protocols, physical links, and logical interconnections are discussed for specific applications in distributed data acquisition and control systems, computer networks and accelerator operations.

  16. Embedding Complex Embedded Systems in Ethernetbased Networks

    E-Print Network [OSTI]

    on the interconnection of multiple embedded systems, which can be as complex as a modern MPSoC in a larger Ethernetbased of Ethernet equipment and the requirement to exercise remote control over all kinds of embedded systems, single systems have to exchange information like process variables, system states, or control signals

  17. On Cyber Security for Networked Control Systems

    E-Print Network [OSTI]

    Amin, Saurabh

    2011-01-01T23:59:59.000Z

    critical infrastructure systems, such as electric powerinfrastructures, for e.g. , the next generation electric power

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

    SciTech Connect (OSTI)

    Swiler, L.P.; Phillips, C.

    1998-06-01T23:59:59.000Z

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

  19. Sensor network based vehicle classification and license plate identification system

    SciTech Connect (OSTI)

    Frigo, Janette Rose [Los Alamos National Laboratory; Brennan, Sean M [Los Alamos National Laboratory; Rosten, Edward J [Los Alamos National Laboratory; Raby, Eric Y [Los Alamos National Laboratory; Kulathumani, Vinod K [WEST VIRGINIA UNIV.

    2009-01-01T23:59:59.000Z

    Typically, for energy efficiency and scalability purposes, sensor networks have been used in the context of environmental and traffic monitoring applications in which operations at the sensor level are not computationally intensive. But increasingly, sensor network applications require data and compute intensive sensors such video cameras and microphones. In this paper, we describe the design and implementation of two such systems: a vehicle classifier based on acoustic signals and a license plate identification system using a camera. The systems are implemented in an energy-efficient manner to the extent possible using commercially available hardware, the Mica motes and the Stargate platform. Our experience in designing these systems leads us to consider an alternate more flexible, modular, low-power mote architecture that uses a combination of FPGAs, specialized embedded processing units and sensor data acquisition systems.

  20. New No-Cost ANTFARM Tool Maps Control System Networks to Help...

    Energy Savers [EERE]

    New No-Cost ANTFARM Tool Maps Control System Networks to Help Implement Cyber Security Standards New No-Cost ANTFARM Tool Maps Control System Networks to Help Implement Cyber...

  1. Output Feedback Control and Optimal Bandwidth Allocation of Networked Control Systems

    E-Print Network [OSTI]

    Dong, Jiawei

    2013-04-12T23:59:59.000Z

    A networked control system (NCS) is a control system where sensors, actuators, and controllers are interconnected over a communication network. This dissertation presents a framework for modeling, stability analysis, optimal control, and bandwidth...

  2. 8/2/2007 David J Hill The Australian National University Networks 1 Short-course: Complex Systems

    E-Print Network [OSTI]

    Blennerhassett, Peter

    National University Networks 2 Lecture 4 · ANU Lab Net Con · Network theory · Internet · Power systems complex systems of interest can be modeled with a network structure (Dynamic) networks and control #12 National University Networks 3 ANU Lab Networks and Control Started 2005 Supported by · Federation

  3. Cyber-Security of Networked Control Systems Karl Henrik Johansson

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    to cyber-threats with many poten@al points of aRacks · How systems · ARack on power network state es@mator · Stealthy minimum-effort a) but no disclosure resources ·If the zero is unstable, then the plant state can be moved

  4. A Control System for OFDM Networked Autonomous Underwater Vehicles

    E-Print Network [OSTI]

    Zhou, Shengli

    . INTRODUCTION Autonomous Underwater Vehicles (AUVs) belong to a group of unmanned robots that are usedA Control System for OFDM Networked Autonomous Underwater Vehicles Michael Zuba, Carlos Villa, haining.mo, zhengpeng, jiaxing.che, jcui}@engr.uconn.edu Abstract--Autonomous Underwater Vehicle (AUV

  5. Implementation of a Control Architecture for Networked Vehicle Systems

    E-Print Network [OSTI]

    Marques, Eduardo R. B.

    . INTRODUCTION The Underwater Systems and Technology Laboratory (LSTS) aims the creation of networked vehicles has already built autonomous vehicles of different types, namely Autonomous Underwater Vehicles (Madu- reira et al. (2009)), Autonomous Surface Vehicles (Ferreira et al. (2007)), Unmanned Air Vehicles (Gon

  6. Reduced-Order Predictive Outage Compensators for Networked Systems

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Reduced-Order Predictive Outage Compensators for Networked Systems Erik Henriksson Henrik Sandberg communication outage of several samples in situations when the radio environment is noisy and low transmission power is desirable. We propose a method to compensate for outages by introducing a predictive outage

  7. NADIR: A prototype system for detecting network and file system abuse

    SciTech Connect (OSTI)

    Hochberg, J.G.; Jackson, K.A.; Stallings, C.A.; McClary, J.F.; DuBois, D.H.; Ford, J.R.

    1992-01-01T23:59:59.000Z

    This paper describes the design of a prototype computer misuse detection system for the Los Alamos Notional Laboratory's Integrated Computing Network (ICN). This automated expert system, the Network Anomaly Detection and Intrusion Reporter (NADIR), streamlines and supplements the manual audit record review traditionally performed by security auditors. NADIR compares network activity, as summarized in weekly profiles of individual users and the ICN as a whole, against expert rules that define security policy, improper or suspicious behavior, and normal user activity. NADIR reports suspicious behavior to security auditors and provides tools to aid in follow-up investigations. This paper describes analysis by NADIR of two types of ICN activity: user authentication and access control, and mass file storage. It highlights system design issues of data handling, exploiting existing auditing systems, and performing audit analysis at the network level.

  8. NADIR: A prototype system for detecting network and file system abuse

    SciTech Connect (OSTI)

    Hochberg, J.G.; Jackson, K.A.; Stallings, C.A.; McClary, J.F.; DuBois, D.H.; Ford, J.R.

    1992-10-01T23:59:59.000Z

    This paper describes the design of a prototype computer misuse detection system for the Los Alamos Notional Laboratory`s Integrated Computing Network (ICN). This automated expert system, the Network Anomaly Detection and Intrusion Reporter (NADIR), streamlines and supplements the manual audit record review traditionally performed by security auditors. NADIR compares network activity, as summarized in weekly profiles of individual users and the ICN as a whole, against expert rules that define security policy, improper or suspicious behavior, and normal user activity. NADIR reports suspicious behavior to security auditors and provides tools to aid in follow-up investigations. This paper describes analysis by NADIR of two types of ICN activity: user authentication and access control, and mass file storage. It highlights system design issues of data handling, exploiting existing auditing systems, and performing audit analysis at the network level.

  9. Power-laws in recurrence networks from dynamical systems

    E-Print Network [OSTI]

    Y. Zou; J. Heitzig; R. V. Donner; J. F. Donges; J. D. Farmer; R. Meucci; S. Euzzor; N. Marwan; J. Kurths

    2012-03-15T23:59:59.000Z

    Recurrence networks are a novel tool of nonlinear time series analysis allowing the characterisation of higher-order geometric properties of complex dynamical systems based on recurrences in phase space, which are a fundamental concept in classical mechanics. In this Letter, we demonstrate that recurrence networks obtained from various deterministic model systems as well as experimental data naturally display power-law degree distributions with scaling exponents $\\gamma$ that can be derived exclusively from the systems' invariant densities. For one-dimensional maps, we show analytically that $\\gamma$ is not related to the fractal dimension. For continuous systems, we find two distinct types of behaviour: power-laws with an exponent $\\gamma$ depending on a suitable notion of local dimension, and such with fixed $\\gamma=1$.

  10. Neural Network Based Energy Storage System Modeling for Hybrid Electric Vehicles

    SciTech Connect (OSTI)

    Bhatikar, S. R.; Mahajan, R. L.; Wipke, K.; Johnson, V.

    1999-08-01T23:59:59.000Z

    Demonstrates the application of an artificial neural network (ANN) for modeling the energy storage system of a hybrid electric vehicle.

  11. On Cyber Security for Networked Control Systems

    E-Print Network [OSTI]

    Amin, Saurabh

    2011-01-01T23:59:59.000Z

    buildings and smart structures portend immense datavehicles and buildings equipped with smart meters). Thebuilding’s occupants). The operating systems of upcoming infrastructures such as smart

  12. Physical Modeling of Scaled Water Distribution System Networks.

    SciTech Connect (OSTI)

    O'Hern, Timothy J.; Hammond, Glenn Edward; Orear, Leslie ,; van Bloemen Waanders, Bart G.; Paul Molina; Ross Johnson

    2005-10-01T23:59:59.000Z

    Threats to water distribution systems include release of contaminants and Denial of Service (DoS) attacks. A better understanding, and validated computational models, of the flow in water distribution systems would enable determination of sensor placement in real water distribution networks, allow source identification, and guide mitigation/minimization efforts. Validation data are needed to evaluate numerical models of network operations. Some data can be acquired in real-world tests, but these are limited by 1) unknown demand, 2) lack of repeatability, 3) too many sources of uncertainty (demand, friction factors, etc.), and 4) expense. In addition, real-world tests have limited numbers of network access points. A scale-model water distribution system was fabricated, and validation data were acquired over a range of flow (demand) conditions. Standard operating variables included system layout, demand at various nodes in the system, and pressure drop across various pipe sections. In addition, the location of contaminant (salt or dye) introduction was varied. Measurements of pressure, flowrate, and concentration at a large number of points, and overall visualization of dye transport through the flow network were completed. Scale-up issues that that were incorporated in the experiment design include Reynolds number, pressure drop across nodes, and pipe friction and roughness. The scale was chosen to be 20:1, so the 10 inch main was modeled with a 0.5 inch pipe in the physical model. Controlled validation tracer tests were run to provide validation to flow and transport models, especially of the degree of mixing at pipe junctions. Results of the pipe mixing experiments showed large deviations from predicted behavior and these have a large impact on standard network operations models.3

  13. Howe Group LLC | Open Energy Information

    Open Energy Info (EERE)

    Name: Howe Group LLC Place: Santa Fe, New Mexico Phone Number: +1 505 216 5119 Website: net http:www.hd-group. net Coordinates: 35.6869752, -105.937799 Show Map Loading...

  14. Bell Nursery USA, LLC Internship Position Description

    E-Print Network [OSTI]

    Bell Nursery USA, LLC Internship Position Description Internship Program Goal as a grower. Grower/Internship position : It is our goal at Bell to provide a rewarding and educational experience to the student/intern. The internship position

  15. 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

  16. On Power Control for Wireless Sensor Networks: System Model, Middleware Component and Experimental Evaluation

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    On Power Control for Wireless Sensor Networks: System Model, Middleware Component and Experimental: Power Control, Wireless Sensor Networks, Networked Embedded Systems. I. INTRODUCTION The design be applied due to low signal bandwidths in the control loop, highly nonlinear and uncertain system models

  17. Identifying modular flows on multilayer networks reveals highly overlapping organization in social systems

    E-Print Network [OSTI]

    De Domenico, Manlio; Arenas, Alex; Rosvall, Martin

    2014-01-01T23:59:59.000Z

    Unveiling the community structure of networks is a powerful methodology to comprehend interconnected systems across the social and natural sciences. To identify different types of functional modules in interaction data aggregated in a single network layer, researchers have developed many powerful methods. For example, flow-based methods have proven useful for identifying modular dynamics in weighted and directed networks that capture constraints on flow in the systems they represent. However, many networked systems consist of agents or components that exhibit multiple layers of interactions. Inevitably, representing this intricate network of networks as a single aggregated network leads to information loss and may obscure the actual organization. Here we propose a method based on compression of network flows that can identify modular flows in non-aggregated multilayer networks. Our numerical experiments on synthetic networks show that the method can accurately identify modules that cannot be identified in agg...

  18. SCADA System Security ECE 478 Network Security

    E-Print Network [OSTI]

    water treatment systems; electric power transmission, distribution, and generation; petroleum storage variety of industries including Electric power generation, transmission, and distribution, Environmental. A Human-machine interface allows the operator to view the state of the plant equipment. Dumb terminals

  19. Distributional properties of Euclidean distances in wireless networks involving road systems

    E-Print Network [OSTI]

    Schmidt, Volker

    1 Distributional properties of Euclidean distances in wireless networks involving road systems of large wireless networks. The network geometry is modelled by random geometric graphs, and the locations are closely related with the interference geometry and, consequently, the performance of wireless networks

  20. Licensing Support Network: An Electronic Discovery System

    SciTech Connect (OSTI)

    Gil, A. V.; Jensen, D.; McKinnon, B.

    2002-02-26T23:59:59.000Z

    The necessary authorization for the U. S. Department of Energy's (DOE) Office of Civilian Radioactive Waste Management (OCRWM) to submit a License Application (LA) is contingent upon the policy process defined in the Nuclear Waste Policy Act, as amended (NWPA), with some steps yet to occur. In spite of this uncertainty, the DOE must take prudent and appropriate action now, and over the next several years, to prepare for submittal of an application and to facilitate the U. S. Nuclear Regulatory Commission (NRC) review of this application, if the Yucca Mountain site is recommended and approved for repository development. One of these steps the DOE has taken involves working with the NRC's Advisory Review Panel to develop Licensing Support Network (LSN) requirements and guidelines. The NRC has made a prototype of the LSN web page available at www.LSNNET.gov. The OCRWM part of the LSN currently has an indefinite life cycle and may need to remain in existence until the repository is closed, which could be as long as 325 years.

  1. An Information Theoretic Location Verification System for Wireless Networks

    E-Print Network [OSTI]

    Yan, Shihao; Nevat, Ido; Peters, Gareth W

    2012-01-01T23:59:59.000Z

    As location-based applications become ubiquitous in emerging wireless networks, Location Verification Systems (LVS) are of growing importance. In this paper we propose, for the first time, a rigorous information-theoretic framework for an LVS. The theoretical framework we develop illustrates how the threshold used in the detection of a spoofed location can be optimized in terms of the mutual information between the input and output data of the LVS. In order to verify the legitimacy of our analytical framework we have carried out detailed numerical simulations. Our simulations mimic the practical scenario where a system deployed using our framework must make a binary Yes/No "malicious decision" to each snapshot of the signal strength values obtained by base stations. The comparison between simulation and analysis shows excellent agreement. Our optimized LVS framework provides a defence against location spoofing attacks in emerging wireless networks such as those envisioned for Intelligent Transport Systems, wh...

  2. Network Management Network Management

    E-Print Network [OSTI]

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

  3. A graph-based network-vulnerability analysis system

    SciTech Connect (OSTI)

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

    1998-05-03T23:59:59.000Z

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

  4. A graph-based network-vulnerability analysis system

    SciTech Connect (OSTI)

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

    1998-01-01T23:59:59.000Z

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

  5. High-speed and high-fidelity system and method for collecting network traffic

    DOE Patents [OSTI]

    Weigle, Eric H. (Los Alamos, NM)

    2010-08-24T23:59:59.000Z

    A system is provided for the high-speed and high-fidelity collection of network traffic. The system can collect traffic at gigabit-per-second (Gbps) speeds, scale to terabit-per-second (Tbps) speeds, and support additional functions such as real-time network intrusion detection. The present system uses a dedicated operating system for traffic collection to maximize efficiency, scalability, and performance. A scalable infrastructure and apparatus for the present system is provided by splitting the work performed on one host onto multiple hosts. The present system simultaneously addresses the issues of scalability, performance, cost, and adaptability with respect to network monitoring, collection, and other network tasks. In addition to high-speed and high-fidelity network collection, the present system provides a flexible infrastructure to perform virtually any function at high speeds such as real-time network intrusion detection and wide-area network emulation for research purposes.

  6. The Importance, Design and Implementation of a Middleware for Networked Control Systems

    E-Print Network [OSTI]

    that of classical control systems. An example of such a system, an automatic traffic control system, establishedThe Importance, Design and Implementation of a Middleware for Networked Control Systems Kyoung, networked control systems may soon become prevalent in many control applica- tions. While the capability

  7. Network QoS Management in Cyber-Physical Systems

    E-Print Network [OSTI]

    Xia, Feng; Dong, Jinxiang; Sun, Youxian

    2008-01-01T23:59:59.000Z

    Technical advances in ubiquitous sensing, embedded computing, and wireless communication are leading to a new generation of engineered systems called cyber-physical systems (CPS). CPS promises to transform the way we interact with the physical world just as the Internet transformed how we interact with one another. Before this vision becomes a reality, however, a large number of challenges have to be addressed. Network quality of service (QoS) management in this new realm is among those issues that deserve extensive research efforts. It is envisioned that wireless sensor/actuator networks (WSANs) will play an essential role in CPS. This paper examines the main characteristics of WSANs and the requirements of QoS provisioning in the context of cyber-physical computing. Several research topics and challenges are identified. As a sample solution, a feedback scheduling framework is proposed to tackle some of the identified challenges. A simple example is also presented that illustrates the effectiveness of the pr...

  8. A Privacy Preservation Model for Facebook-like Social Network Systems

    E-Print Network [OSTI]

    Regina, University of

    A Privacy Preservation Model for Facebook-like Social Network Systems Philip W. L. Fong, Mohd Anwar-0-7731-0659 (print) ISBN 978-0-7731-0660 (online) #12;A Privacy Preservation Model for Facebook-Like Social Network growth in the popularity of social network systems, with Facebook being an archetypical example. Due

  9. A Passivity Framework for Modeling and Mitigating Wormhole Attacks on Networked Control Systems

    E-Print Network [OSTI]

    Poovendran, Radha

    Cyber-physical systems that are deployed over a wide geographic area often consist of distributed Phillip Lee, Andrew Clark, Linda Bushnell, and Radha Poovendran Network Security Lab, Dept. of Electrical--Networked control systems consist of distributed sensors and actuators that communicate via a wireless network

  10. FEL3330/EL2910 Networked and Multi-Agent Control Systems

    E-Print Network [OSTI]

    Dimarogonas, Dimos

    FEL3330/EL2910 Networked and Multi-Agent Control Systems Spring 2013 Automatic Control School of Electrical Engineering Royal Institute of Technology Lecture 1 1 May 6, 2013 #12;FEL3330/EL2910 Networked #12;FEL3330/EL2910 Networked and Multi-Agent Control Systems Lecture 1: Introduction · Practical

  11. Energy-Aware Routing in Sensor Networks: A Large Systems Approach

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Energy-Aware Routing in Sensor Networks: A Large Systems Approach Longbi Lin, Ness B. Shroff, and R capacity. Index Terms-- Energy-Aware Routing, Sensor Network, Large System, Mathematical Programming/Optimization, Simulations I. INTRODUCTION Energy-aware routing problem in sensor networks has received significant attention

  12. EA-1726: Kahuku Wind Power, LLC Wind Power Generation Facility...

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

    6: Kahuku Wind Power, LLC Wind Power Generation Facility, O'ahu, HI EA-1726: Kahuku Wind Power, LLC Wind Power Generation Facility, O'ahu, HI May 3, 2010 EA-1726: Final...

  13. Global Energy Partners, LLC 500 Ygnacio Valley Road, Suite 450

    E-Print Network [OSTI]

    Global Energy Partners, LLC 500 Ygnacio Valley Road, Suite 450 Walnut Creek, CA 94596 P: 925. This report was prepared by Global Energy Partners, LLC 500 Ygnacio Valley Blvd., Suite 450 Walnut Creek, CA

  14. Energy Department Authorizes Alaska LNG Project, LLC to Export...

    Energy Savers [EERE]

    Authorizes Alaska LNG Project, LLC to Export Liquefied Natural Gas Energy Department Authorizes Alaska LNG Project, LLC to Export Liquefied Natural Gas May 28, 2015 - 1:55pm...

  15. Managed by UT-Battelle, LLC Final Technical Report

    E-Print Network [OSTI]

    Pennycook, Steve

    Managed by UT-Battelle, LLC Final Technical Report Characterization of Min-K TE-1400 Thermal NATIONAL LABORATORY P.O. Box 2008 Oak Ridge, Tennessee 37831-6283 managed by UT-Battelle, LLC for the U

  16. An acquisition system based on a network of microvax's running the realtime DEC VAXELN operating system

    SciTech Connect (OSTI)

    D'Antone, I.; Mandrioli, G.; Matteuzzi, P.; Sanzani, G. (Bologna Univ. (Italy). Dipt. di Fisica); Bloise, C.; Grillo, A.F.; Marini, A.; Ronga, F. (INFN Laboratori Nazionali di Frascati, C.P.13, 00044 Frascati (IT)); Baldini, A. (Via Livornese, San Piero a Grado, 56100 Pisa (IT)); Mancarella, G.; Palamara, O.; Surdo, A. (Lecce Univ. (Italy). Ist. di Fisica)

    1989-10-01T23:59:59.000Z

    The authors describe an acquisition system based on a network (Ethernet/DECNET) of MicroVAX's running in the VAXELN environment. VAXELN is a Digital Equipment software product for the development of dedicated, real time systems for VAX processors. A central VAX running under the VAX/VMS operating system is used as file server and as an interface of the acquisition system with respect to the user's world.

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

    SciTech Connect (OSTI)

    Wen, Jesse

    2013-08-30T23:59:59.000Z

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

  18. Hybrid Control Network Intrusion Detection Systems for Automated Power Distribution Systems

    E-Print Network [OSTI]

    Peisert, Sean

    ) for protecting automated distribution systems (ADS) against certain types of cyber attacks in a new way, distribution au- tomation, network security, intrusion detection systems. I. INTRODUCTION A. Scope and Goals their development with that of an appropriate cyber security frame- work that would prevent attackers from gaining

  19. NNSA Selects Consolidated Nuclear Security, LLC to Manage the...

    National Nuclear Security Administration (NNSA)

    Consolidated Nuclear Security, LLC to Manage the Consolidated Contract for Nuclear Production Operations | National Nuclear Security Administration Facebook Twitter Youtube...

  20. Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Related Information

    E-Print Network [OSTI]

    Brody, James P.

    Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Related Information Vice Chancellor Gomez's Letter to Students UCI's Computer & Network Use Policy OIT Copyright Policy Resources Page University

  1. Designing High Performance, Reliable, and Energy-Efficient Networked Computing Systems for the Future

    E-Print Network [OSTI]

    Xu, Cheng-Zhong

    of Center for Networked Computing Systems (CNC), is dedicated to the investigation, establishment-to- end QoS consists of network and server www.wayne.edu Router #12;time and adjust the amount

  2. Augmenting Trust Establishment in Dynamic Systems with Social Networks

    SciTech Connect (OSTI)

    Lagesse, Brent J [ORNL] [ORNL; Kumar, Mohan [University of Texas, Arlington] [University of Texas, Arlington; Venkatesh, Svetha [Curtin University of Technology, Perth, Australia] [Curtin University of Technology, Perth, Australia; Lazarescu, Mihai [Curtin University of Technology, Perth, Australia] [Curtin University of Technology, Perth, Australia

    2010-01-01T23:59:59.000Z

    Social networking has recently flourished in popularity through the use of social websites. Pervasive computing resources have allowed people stay well-connected to each other through access to social networking resources. We take the position that utilizing information produced by relationships within social networks can assist in the establishment of trust for other pervasive computing applications. Furthermore, we describe how such a system can augment a sensor infrastructure used for event observation with information from mobile sensors (ie, mobile phones with cameras) controlled by potentially untrusted third parties. Pervasive computing systems are invisible systems, oriented around the user. As a result, many future pervasive systems are likely to include a social aspect to the system. The social communities that are developed in these systems can augment existing trust mechanisms with information about pre-trusted entities or entities to initially consider when beginning to establish trust. An example of such a system is the Collaborative Virtual Observation (CoVO) system fuses sensor information from disaparate sources in soft real-time to recreate a scene that provides observation of an event that has recently transpired. To accomplish this, CoVO must efficently access services whilst protecting the data from corruption from unknown remote nodes. CoVO combines dynamic service composition with virtual observation to utilize existing infrastructure with third party services available in the environment. Since these services are not under the control of the system, they may be unreliable or malicious. When an event of interest occurs, the given infrastructure (bus cameras, etc.) may not sufficiently cover the necessary information (be it in space, time, or sensor type). To enhance observation of the event, infrastructure is augmented with information from sensors in the environment that the infrastructure does not control. These sensors may be unreliable, uncooperative, or even malicious. Additionally, to execute queries in soft real-time, processing must be distributed to available systems in the environment. We propose to use information from social networks to satisfy these requirements. In this paper, we present our position that knowledge gained from social activities can be used to augment trust mechanisms in pervasive computing. The system uses social behavior of nodes to predict a subset that it wants to query for information. In this context, social behavior such as transit patterns and schedules (which can be used to determine if a queried node is likely to be reliable) or known relationships, such as a phone's address book, that can be used to determine networks of nodes that may also be able to assist in retrieving information. Neither implicit nor explicit relationships necessarily imply that the user trusts an entity, but rather will provide a starting place for establishing trust. The proposed framework utilizes social network information to assist in trust establishment when third-party sensors are used for sensing events.

  3. Algorithms, Protocols & Systems for Remote Observation Using Networked Robotic Cameras

    E-Print Network [OSTI]

    Qin, Ni

    2010-01-16T23:59:59.000Z

    assist in waste cleanup using Point- and-Direct (PAD) commands. Users point to cleanup locations in a shared image and a robot excavates each location in turn. Recent developments in MOSR systems can be found in [26,27]. In [27] Goldberg et al. propose...ALGORITHMS, PROTOCOLS AND SYSTEMS FOR REMOTE OBSERVATION USING NETWORKED ROBOTIC CAMERAS A Dissertation by NI QIN Submitted to the O?ce of Graduate Studies of Texas A&M University in partial fulflllment of the requirements for the degree of DOCTOR...

  4. Global Energy Partners, LLC 500 Ygnacio Valley Road, Suite 450

    E-Print Network [OSTI]

    FOR MIDWEST ISO Draft Report #1314 July 2010 #12;#12;Global Energy Partners, LLC iii DISCLAIMER OF WARRANTIES Response and Energy Efficiency Potential for Midwest ISO, Global Energy Partners, LLC. Walnut Creek, CA 2010. Report Number 1314. #12;#12;Global Energy Partners, LLC v EXECUTIVE SUMMARY The Midwest ISO

  5. NedPower Mount Storm LLC | Open Energy Information

    Open Energy Info (EERE)

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

  6. Paradigms for Mobile Agent-Based Active Monitoring of Network Systems

    E-Print Network [OSTI]

    Tripathi, Anand

    Paradigms for Mobile Agent-Based Active Monitoring of Network Systems Anand Tripathi, Tanvir a framework together with a set of paradigms for mobile agent based active monitoring of network systems system policies. A system administrator can securely modify the monitor- ing policies and information

  7. An Artificial Hormone System for Self-organization of Networked Nodes

    E-Print Network [OSTI]

    Ungerer, Theo

    An Artificial Hormone System for Self-organization of Networked Nodes Wolfgang Trumler, Tobias) as a general approach to build self-organizing systems based on networked nodes. The Artificial Hormone System an abstract point of view with focus on the mechanisms that were transferred to the Artificial Hormone System

  8. Monitoring nuclear reactor systems using neural networks and fuzzy logic

    SciTech Connect (OSTI)

    Ikonomopoulos, A.; Tsoukalas, L.H.; Uhrig, R.E. [Tennessee Univ., Knoxville, TN (United States); Mullens, J.A. [Tennessee Univ., Knoxville, TN (United States)]|[Oak Ridge National Lab., TN (United States)

    1991-12-01T23:59:59.000Z

    A new approach is presented that demonstrates the potential of trained artificial neural networks (ANNs) as generators of membership functions for the purpose of monitoring nuclear reactor systems. ANN`s provide a complex-to-simple mapping of reactor parameters in a process analogous to that of measurement. Through such ``virtual measurements`` the value of parameters with operational significance, e.g., control-valve-disk-position, valve-line-up or performance can be determined. In the methodology presented the output of a virtual measuring device is a set of membership functions which independently represent different states of the system. Utilizing a fuzzy logic representation offers the advantage of describing the state of the system in a condensed form, developed through linguistic descriptions and convenient for application in monitoring, diagnostics and generally control algorithms. The developed methodology is applied to the problem of measuring the disk position of the secondary flow control valve of an experimental reactor using data obtained during a start-up. The enhanced noise tolerance of the methodology is clearly demonstrated as well as a method for selecting the actual output. The results suggest that it is possible to construct virtual measuring devices through artificial neural networks mapping dynamic time series to a set of membership functions and thus enhance the capability of monitoring systems. 8 refs., 11 figs., 1 tab.

  9. Carbon Micro Battery LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomassSustainableCSL GasPermitsGreen BioEnergy LLC Jump to:Micro Battery, LLC

  10. Just Wind LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORTEnergyFarmsPower Co LtdTN LLC JumpJilinWind LLC Place:

  11. Energy Matters LLC | Open Energy Information

    Open Energy Info (EERE)

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

  12. Petroleum Science and Technology, 27:511529, 2009 Copyright Taylor & Francis Group, LLC

    E-Print Network [OSTI]

    Petroleum Science and Technology, 27:511­529, 2009 Copyright © Taylor & Francis Group, LLC ISSN. Jones,4 and S. A. Hamilton1 1Institute of Petroleum Engineering, Heriot-Watt University, Edinburgh UK 2Sciences, University of Edinburgh, UK 4Weatherford Production and Completion Systems Expandable Technology, Aberdeen UK

  13. Sun's Network File System (NFS) One of the first uses of distributed client/server computing was

    E-Print Network [OSTI]

    Sheridan, Jennifer

    34 Sun's Network File System (NFS) One of the first uses of distributed client/server computing of data across clients. Thus, if 1 #12;2 SUN'S NETWORK FILE SYSTEM (NFS) you access a file on one machine-DUSSEAU #12;SUN'S NETWORK FILE SYSTEM (NFS) 3 even; in the best such case, no network traffic need be gener

  14. Venture Global Calcasieu Pass, LLC- (Formerly Venture Global LNG, LLC)- 14-88-LNG

    Broader source: Energy.gov [DOE]

    The Office of Fossil Energy gives notice of receipt of an application filed on May 13, 2014, by Venture Global LNG, LLC (VGP) requesting long-term, multi-contract authority to export (in addition...

  15. Parallax Enterprises (NOLA) LLC (Formerly Louisiana LNG Energy LLC) – FE Dkt. No. 14-29-LNG

    Broader source: Energy.gov [DOE]

    The Office of Fossil Energy gives notice of receipt of an application filed on February 18, 2014, by Louisiana LNG Energy LLC (LLNG) requesting long-term authorization to export two million metric...

  16. Parallax Enterprises (NOLA) LLC- (Formerly Louisiana LNG Energy LLC) – FE Dkt. No. 14-19-LNG

    Broader source: Energy.gov [DOE]

    The Office of Fossil Energy gives notice of receipt of an application filed on February 5, 2014, by Louisiana LNG Energy LLC (LLNG) requesting long-term multi-contract authorization to export...

  17. Controllable quantum information network with a superconducting system

    SciTech Connect (OSTI)

    Zhang, Feng-yang, E-mail: zhangfy@mail.dlut.edu.cn [School of Physics and Materials Engineering, Dalian Nationalities University, Dalian 116600 (China); Liu, Bao [Beijing Computational Science Research Center (CSRC), Beijing 100084 (China); Chen, Zi-hong [School of Physics and Optoelectronic Technology, Dalian University of Technology, Dalian 116024 (China); Wu, Song-lin [School of Physics and Materials Engineering, Dalian Nationalities University, Dalian 116600 (China); Song, He-shan [School of Physics and Optoelectronic Technology, Dalian University of Technology, Dalian 116024 (China)

    2014-07-15T23:59:59.000Z

    We propose a controllable and scalable architecture for quantum information processing using a superconducting system network, which is composed of current-biased Josephson junctions (CBJJs) as tunable couplers between the two superconducting transmission line resonators (TLRs), each coupling to multiple superconducting qubits (SQs). We explicitly demonstrate that the entangled state, the phase gate, and the information transfer between any two selected SQs can be implemented, respectively. Lastly, numerical simulation shows that our scheme is robust against the decoherence of the system. -- Highlights: •An architecture for quantum information processing is proposed. •The quantum information transfer between any two selected SQs is implemented. •This proposal is robust against the decoherence of the system. •This architecture can be fabricated on a chip down to the micrometer scale.

  18. Critical Node Identification of Smart Power System Using Complex Network Framework Based

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    transmission networks, in which a DC power flow model and overloading of lines is embedded into the traditional or node removal can cause serious impact on normal system operation. Removal of transmission lines from characteristics and complex network theory together. Particularly, electric power networks are quite different

  19. Smart Engineering System Design, vol. 4:243-252, 2002 NETWORK CONGESTION ARBITRATION AND SOURCE PROBLEM

    E-Print Network [OSTI]

    Varela, Carlos

    to address the problem. However, these tools simply give the network administrator a great deal1 Smart Engineering System Design, vol. 4:243-252, 2002 NETWORK CONGESTION ARBITRATION AND SOURCE PROBLEM PREDICTION USING NEURAL NETWORKS J. ALAN BIVENS Computer Science Rensselaer Polytechnic Institute

  20. An Electricity Trade Model for Multiple Power Distribution Networks in Smart Energy Systems

    E-Print Network [OSTI]

    Pedram, Massoud

    . A microgrid is a small scale power network, which contains one or multiple types of renewable power generators complicated with the adoption of energy storage [5]. For a power network, the amount of energy generationAn Electricity Trade Model for Multiple Power Distribution Networks in Smart Energy Systems

  1. Evolving artificial neural networks to control chaotic systems Eric R. Weeks* and John M. Burgess

    E-Print Network [OSTI]

    Weeks, Eric R.

    Evolving artificial neural networks to control chaotic systems Eric R. Weeks* and John M. Burgess 78712 Received 7 April 1997 We develop a genetic algorithm that produces neural network feedback of unstable fixed points. This is the first dimension- independent algorithm that produces neural network

  2. Evolving artificial neural networks to control chaotic systems Eric R. Weeks* and John M. Burgess +

    E-Print Network [OSTI]

    Weeks, Eric R.

    Evolving artificial neural networks to control chaotic systems Eric R. Weeks* and John M. Burgess 78712 ~Received 7 April 1997! We develop a genetic algorithm that produces neural network feedback a robust method of train­ ing neural networks to control chaos. The method makes no assumptions about

  3. archiving communication system: Topics by E-print Network

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

    Synchronization with Channel Estimation in Multi-Relay Cooperative Networks", IEEE Trans. Signal Process., vol. 60 Cooperative Networks", in Proc. IEEE International Conference on...

  4. atomos communication system: Topics by E-print Network

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

    Synchronization with Channel Estimation in Multi-Relay Cooperative Networks", IEEE Trans. Signal Process., vol. 60 Cooperative Networks", in Proc. IEEE International Conference on...

  5. analog communication systems: Topics by E-print Network

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

    Synchronization with Channel Estimation in Multi-Relay Cooperative Networks", IEEE Trans. Signal Process., vol. 60 Cooperative Networks", in Proc. IEEE International Conference on...

  6. Structural Health Monitoring Using Neural Network Based Vibrational System Identification

    E-Print Network [OSTI]

    Sofge, Donald A

    2007-01-01T23:59:59.000Z

    Composite fabrication technologies now provide the means for producing high-strength, low-weight panels, plates, spars and other structural components which use embedded fiber optic sensors and piezoelectric transducers. These materials, often referred to as smart structures, make it possible to sense internal characteristics, such as delaminations or structural degradation. In this effort we use neural network based techniques for modeling and analyzing dynamic structural information for recognizing structural defects. This yields an adaptable system which gives a measure of structural integrity for composite structures.

  7. Statistical physics of networks, information and complex systems

    SciTech Connect (OSTI)

    Ecke, Robert E [Los Alamos National Laboratory

    2009-01-01T23:59:59.000Z

    In this project we explore the mathematical methods and concepts of statistical physics that are fmding abundant applications across the scientific and technological spectrum from soft condensed matter systems and bio-infonnatics to economic and social systems. Our approach exploits the considerable similarity of concepts between statistical physics and computer science, allowing for a powerful multi-disciplinary approach that draws its strength from cross-fertilization and mUltiple interactions of researchers with different backgrounds. The work on this project takes advantage of the newly appreciated connection between computer science and statistics and addresses important problems in data storage, decoding, optimization, the infonnation processing properties of the brain, the interface between quantum and classical infonnation science, the verification of large software programs, modeling of complex systems including disease epidemiology, resource distribution issues, and the nature of highly fluctuating complex systems. Common themes that the project has been emphasizing are (i) neural computation, (ii) network theory and its applications, and (iii) a statistical physics approach to infonnation theory. The project's efforts focus on the general problem of optimization and variational techniques, algorithm development and infonnation theoretic approaches to quantum systems. These efforts are responsible for fruitful collaborations and the nucleation of science efforts that span multiple divisions such as EES, CCS, 0 , T, ISR and P. This project supports the DOE mission in Energy Security and Nuclear Non-Proliferation by developing novel infonnation science tools for communication, sensing, and interacting complex networks such as the internet or energy distribution system. The work also supports programs in Threat Reduction and Homeland Security.

  8. Distributed Optimization, Estimation, and Control of Networked Systems through Event-triggered Message Passing

    E-Print Network [OSTI]

    Lemmon, Michael

    -triggered Message Passing 1 Introduction This project will investigate distributed optimization, estimation, and control of networked systems through the use of event-triggered message passing. Networked systems consist of distributed decision systems. Indi- vidual agents coordinate their actions through message exchanges

  9. Pollution Attacks and Defenses in Wireless Inter-flow Network Coding Systems

    E-Print Network [OSTI]

    Curtmola, Reza

    1 Pollution Attacks and Defenses in Wireless Inter-flow Network Coding Systems Jing Dong, Reza Abstract--We study data pollution attacks in wireless inter-flow network coding systems. Although several the existing systems, and use it to analyze the impact of pollution attacks. Our analysis shows

  10. Dynamic evidential networks in system reliability analysis: A Dempster Shafer Approach

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Dynamic evidential networks in system reliability analysis: A Dempster Shafer Approach Philippe for modeling and analyzing the system reliability based on Dynamic Evidential Networks (DEN). This method. The current system state determine the probability distribution over the next states. In the work reported

  11. BLACK-BOX MODELLING OF HVAC SYSTEM: IMPROVING THE PERFORMANCES OF NEURAL NETWORKS

    E-Print Network [OSTI]

    Boyer, Edmond

    BLACK-BOX MODELLING OF HVAC SYSTEM: IMPROVING THE PERFORMANCES OF NEURAL NETWORKS Eric FOCK Ile de La RĂ©union - FRANCE ABSTRACT This paper deals with neural networks modelling of HVAC systems of HVAC system can be modelled using manufacturer design data presented as derived performance maps

  12. Network Working Group S. Bryant, Ed. Request for Comments: 3985 Cisco Systems

    E-Print Network [OSTI]

    Wood, Lloyd

    Network Working Group S. Bryant, Ed. Request for Comments: 3985 Cisco Systems Category . . . . . . . . . . . . . . . . . . . . . . . . . 17 5. PW Encapsulation. . . . . . . . . . . . . . . . . . . . . . . 18 Bryant & Pate Standards Track

  13. Investigation of broadband over power line channel capacity of shipboard power system cables for ship communications networks 

    E-Print Network [OSTI]

    Akinnikawe, Ayorinde

    2009-05-15T23:59:59.000Z

    and networking has led to suggestions of applying BPL in other systems including ships. The application of BPL technology using the Shipboard Power System (SPS) as a potential communications network for ship automation systems has been proposed, to achieve recent...

  14. ELECTRONICS 2007 by Taylor & Francis Group, LLC

    E-Print Network [OSTI]

    Parkway NW, Suite 300 Boca Raton, FL 33487-2742 © 2007 by Taylor & Francis Group, LLC CRC PressEdwardLyshevski was born in Kiev, Ukraine. He received his M.S. (1980) and Ph.D. (1987) degrees from Kie

  15. SG Network System Requirements Specification- Interim Release 3 |

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

    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 DataDepartment of Energy Your Density Isn'tOrigin ofEnergy atLLC - FE DKT. 10-160-LNG - ORDER 2913| Department of Energy

  16. Network Economics Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

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

  17. A Stochastic Calculus for Network Systems with Renewable Energy Sources

    E-Print Network [OSTI]

    Wu, Kui; Marinakis, Dimitri

    2011-01-01T23:59:59.000Z

    We consider the performance modeling and evaluation of network systems powered with renewable energy sources such as solar and wind energy. Such energy sources largely depend on environmental conditions, which are hard to predict accurately. As such, it may only make sense to require the network systems to support a soft quality of service (QoS) guarantee, i.e., to guarantee a service requirement with a certain high probability. In this paper, we intend to build a solid mathematical foundation to help better understand the stochastic energy constraint and the inherent correlation between QoS and the uncertain energy supply. We utilize a calculus approach to model the cumulative amount of charged energy and the cumulative amount of consumed energy. We derive upper and lower bounds on the remaining energy level based on a stochastic energy charging rate and a stochastic energy discharging rate. By building the bridge between energy consumption and task execution (i.e., service), we study the QoS guarantee under...

  18. Preliminary systems engineering evaluations for the National Ecological Observatory Network.

    SciTech Connect (OSTI)

    Robertson, Perry J.; Kottenstette, Richard Joseph; Crouch, Shannon M.; Brocato, Robert Wesley; Zak, Bernard Daniel; Osborn, Thor D.; Ivey, Mark D.; Gass, Karl Leslie; Heller, Edwin J.; Dishman, James Larry; Schubert, William Kent; Zirzow, Jeffrey A.

    2008-11-01T23:59:59.000Z

    The National Ecological Observatory Network (NEON) is an ambitious National Science Foundation sponsored project intended to accumulate and disseminate ecologically informative sensor data from sites among 20 distinct biomes found within the United States and Puerto Rico over a period of at least 30 years. These data are expected to provide valuable insights into the ecological impacts of climate change, land-use change, and invasive species in these various biomes, and thereby provide a scientific foundation for the decisions of future national, regional, and local policy makers. NEON's objectives are of substantial national and international importance, yet they must be achieved with limited resources. Sandia National Laboratories was therefore contracted to examine four areas of significant systems engineering concern; specifically, alternatives to commercial electrical utility power for remote operations, approaches to data acquisition and local data handling, protocols for secure long-distance data transmission, and processes and procedures for the introduction of new instruments and continuous improvement of the sensor network. The results of these preliminary systems engineering evaluations are presented, with a series of recommendations intended to optimize the efficiency and probability of long-term success for the NEON enterprise.

  19. Synchronization of Networked Jahn-Teller Systems in Circuit QED

    E-Print Network [OSTI]

    Yusuf Gul

    2014-12-29T23:59:59.000Z

    We consider the nonlinear e?ects in Jahn-Teller system of two coupled resonators interacting simultaneously with ux qubit using Circuit QED. Two frequency description of Jahn Teller system that inherits the networked structure of both nonlinear Josephson Junctions and harmonic oscillators is employed to describe the synchronous structures in multifrequency scheme. Emergence of dominating mode is investigated to analyze frequency locking by eigenvalue spectrum. Rabi Supersplitting and asymmetry of side peaks in power spectrum is tuned for coupled and uncoupled synchronous con?gurations in terms of frequency entrainment switched by coupling strength between resonators. Second order coherence functions are employed to investigate self-sustained oscillations in resonator mode and qubit dephasing. Snychronous structure between correlations of priviledged mode and qubit is obtained in localization-delocalization and photon blockade regime controlled by the population imbalance.

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

    E-Print Network [OSTI]

    Dolfsma, Wilfred

    2011-01-01T23:59:59.000Z

    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...

  1. Active control of SDF systems using artificial neural networks.

    SciTech Connect (OSTI)

    Tang, Y.; Reactor Engineering

    1997-01-01T23:59:59.000Z

    A study of the application of artificial neural networks (ANNs) to active structural control is presented. A simple effective strategy for the on-line control of single-degree-of-freedom (SDF) structures is proposed. The strategy is to apply the control force at every time step to destroy the buildup of the system response, and the control force needed for the next time step is fully determined from the information available at the current time ; therefore the time delay associated with the control algorithm is eliminated. The control algorithm can be implemented for either a closed or open-closed loop controller. The controller uses a trained ANN to determine the control force such that the velocity induced at the preceding time step is canceled. A feedforward neural network with an adaptive backpropagation training method is used in this study. In the backpropagation training, the learning rate is determined by ensuring the decrease of the error function of the input-output training patterns at each training cycle. Numerical examples of SDF systems under earthquake excitations are given to illustrate the effectiveness of the proposed control strategy. The uncertainties in the time history of the excitation and in the modeling of the system, including the magnitudes of the excitations, the natural frequency and nonlinearity of the systems are examined. Significant reduction of the response is observed. Also, is shown that the proposed control strategy has the ability to reduce the peak that occurs during the first few cycles of the time history, an ability that linear control laws lack.

  2. Jason Krueger StratoStar Systems LLC

    E-Print Network [OSTI]

    Lozano-Nieto, Albert

    SAT along with a phone number. 14. For all experiments be sure to use Lithium Ion batteries. This type become a missile. 2. Make sure the vehicle can handle all of the electrical equipment being operated is blown while operating the equipment. 3. Have a handheld GPS device available in the chase vehicle

  3. Renewegy Systems LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ | RoadmapRenewable Energyobtained fromRenewafuel LLCRenewegy

  4. Solstice Solar Systems LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt LtdShawangunk, NewSingapore JumpSolarezoSolicore IncSoloPower

  5. Supercritical Recovery Systems LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries PvtStratosolar Jump to:Holdings Co Ltd Place: Wuxi,Energy InformationRecovery

  6. EDrive Systems LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOE FacilityDimondale,South, NewDyer County,ECO2 AssetEDP Renewables

  7. Nextronex Energy Systems LLC | Open Energy Information

    Open Energy Info (EERE)

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

  8. Bio Energy Systems LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass ConversionsSouth Carolina:EnergyPark, Arizona:JumpRenov veis Jump

  9. Biodiesel Systems LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass ConversionsSouth Carolina:EnergyPark,BioJetMadison, Wisconsin Zip: WI 53704

  10. Renewable Power Systems LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt Ltd Jump to: navigation, searchRayreviewAl.,RenGenAmes,RenewableRFLAverill

  11. Resource Energy Systems LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt Ltd Jump to: navigation,Maze - Making the PathInformation

  12. Calculating a checksum with inactive networking components in a computing system

    DOE Patents [OSTI]

    Aho, Michael E; Chen, Dong; Eisley, Noel A; Gooding, Thomas M; Heidelberger, Philip; Tauferner, Andrew T

    2014-12-16T23:59:59.000Z

    Calculating a checksum utilizing inactive networking components in a computing system, including: identifying, by a checksum distribution manager, an inactive networking component, wherein the inactive networking component includes a checksum calculation engine for computing a checksum; sending, to the inactive networking component by the checksum distribution manager, metadata describing a block of data to be transmitted by an active networking component; calculating, by the inactive networking component, a checksum for the block of data; transmitting, to the checksum distribution manager from the inactive networking component, the checksum for the block of data; and sending, by the active networking component, a data communications message that includes the block of data and the checksum for the block of data.

  13. G-NetMon: a GPU-accelerated network performance monitoring system

    SciTech Connect (OSTI)

    Wu, Wenji; DeMar, Phil; Holmgren, Don; Singh, Amitoj; /Fermilab

    2011-06-01T23:59:59.000Z

    At Fermilab, we have prototyped a GPU-accelerated network performance monitoring system, called G-NetMon, to support large-scale scientific collaborations. In this work, we explore new opportunities in network traffic monitoring and analysis with GPUs. Our system exploits the data parallelism that exists within network flow data to provide fast analysis of bulk data movement between Fermilab and collaboration sites. Experiments demonstrate that our G-NetMon can rapidly detect sub-optimal bulk data movements.

  14. SEMI-ANNUAL REPORTS FOR CHENIERE MARKETING, LLC AND CORPUS CHRISTI...

    Office of Environmental Management (EM)

    AND CORPUS CHRISTI LIQUEFACTION, LLC (NFTA) - FE DKT. NO. 12-97-LNG - ORDER 3638 SEMI-ANNUAL REPORTS FOR CHENIERE MARKETING, LLC AND CORPUS CHRISTI LIQUEFACTION, LLC (NFTA) - FE...

  15. Advanced System Design of In-Building Wireless Communication Networks Using

    E-Print Network [OSTI]

    Stancil, Daniel D.

    Advanced System Design of In-Building Wireless Communication Networks Using Ventilation Ducts design an IEEE 802.11g wireless system that uses ventilation ducts to distribute the signals throughout modifications and antenna excitations we have tried, chronicling how to best install wireless local area network

  16. iPower: An Energy Conservation System for Intelligent Buildings by Wireless Sensor Networks

    E-Print Network [OSTI]

    Tseng, Yu-Chee

    iPower: An Energy Conservation System for Intelligent Buildings by Wireless Sensor Networks Yu-aware capability of WSN to achieve energy conservation in intelligent buildings is an attractive direction. We therefore propose an intelligent and personalized energy-conservation system by wireless sensor networks (i

  17. A Privacy Preservation Model for Facebook-Style Social Network Systems

    E-Print Network [OSTI]

    A Privacy Preservation Model for Facebook-Style Social Network Systems Philip W. L. Fong1 , Mohd network systems, with Facebook being an archetypical example. The access control paradigm behind the privacy preservation mechanism of Facebook is dis- tinctly different from such existing access control

  18. Active Network Approach to the Design of Secure Online Auction Systems Basem Shihada and Sampalli Srinivas

    E-Print Network [OSTI]

    Shihada, Basem

    to perform computations up to the application layer. The result is a more flexible and powerful networkActive Network Approach to the Design of Secure Online Auction Systems Basem Shihada and Sampalli} @cs.dal.ca ABSTRACT Online auction systems require high-speed bid transmission, large bandwidth

  19. Minimax Control For Cyber-Physical Systems under Network Packet Scheduling Attacks

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Minimax Control For Cyber-Physical Systems under Network Packet Scheduling Attacks Yasser Shoukry. Unfortunately, this re- liance on networks also brings new security vulnerabilities for con- trol systems. We and distribute reprints for Governmental purposes notwith- standing any copyright notation thereon. The views

  20. Network Processes in Evolving Systems Wed Jan 28'04 Doug White (working paper for RFG)

    E-Print Network [OSTI]

    White, Douglas R.

    and Sustainability Centralization and Power Law Connectivity Vulnerability Organization Ridge Structure (see below) 4Network Processes in Evolving Systems Wed Jan 28'04 Doug White (working paper for RFG) OUTLINE Processes in Evolving Systems Wed Jan 28'04 Doug White 1. Outlook: Network Processes, Topological Effects

  1. Process Planning Using An Integrated Expert System And Neural Network Approach

    E-Print Network [OSTI]

    Smith, Alice E.

    Process Planning Using An Integrated Expert System And Neural Network Approach 1 Mark Wilhelm-9209424. 2 Corresponding author. #12;Process Planning Using An Integrated Expert System And Neural Network a unique computer aided process planner for metal furniture assembly, welding and painting using a rule

  2. Development of an Event Detection System Based on a Wireless Sensor Network 

    E-Print Network [OSTI]

    Bermingham, Louise

    2011-08-10T23:59:59.000Z

    The focus of this research is to develop an event detection system for groundwater flooding. The groundwater monitoring infrastructure is based on a Wireless Sensor Network, which can often lead to corrupted data values. The event detection system...

  3. An energy-efficient communication system for ad hoc wireless and sensor networks

    E-Print Network [OSTI]

    Tetteh, William Nii Adjetey

    2007-01-01T23:59:59.000Z

    Existing ad hoc wireless and sensor network systems often trade off energy against performance. As such, it is hard to find a single deployable system that supports high data rates while maintaining energy-efficient ...

  4. Water Distribution System Monitoring and Decision Support Using a Wireless Sensor Network

    E-Print Network [OSTI]

    Allen, Michael

    Water distribution systems comprise labyrinthine networks of pipes, often in poor states of repair, that are buried beneath our city streets and relatively inaccessible. Engineers who manage these systems need reliable ...

  5. Study of a Fault Analysis System for a Heat Supply Network Based on GIS

    E-Print Network [OSTI]

    Zou, P.; Liu, M.; Tang, H.; Wang, X.; Li, N.; Wang, W.

    2006-01-01T23:59:59.000Z

    Conventional methods cannot satisfy the request of the layout and operation management in a heating system. The geographical information system (GIS) in a heat supply network can realize information conformity and information share roundly, which...

  6. THE TOTAL PETROLEUM SYSTEM--THE NATURAL FLUID NETWORK THAT CONSTRAINS THE

    E-Print Network [OSTI]

    Laughlin, Robert B.

    Chapter PS THE TOTAL PETROLEUM SYSTEM--THE NATURAL FLUID NETWORK THAT CONSTRAINS THE ASSESSMENT Survey Click here or on this symbol in the toolbar to return. U.S. GEOLOGICAL SURVEY WORLD PETROLEUM.................................................................................................................PS-2 Total Petroleum System

  7. System and method for time synchronization in a wireless network

    DOE Patents [OSTI]

    Gonia, Patrick S. (Maplewood, MN); Kolavennu, Soumitri N. (Blaine, MN); Mahasenan, Arun V. (Kerala, IN); Budampati, Ramakrishna S. (Maple Grove, MN)

    2010-03-30T23:59:59.000Z

    A system includes multiple wireless nodes forming a cluster in a wireless network, where each wireless node is configured to communicate and exchange data wirelessly based on a clock. One of the wireless nodes is configured to operate as a cluster master. Each of the other wireless nodes is configured to (i) receive time synchronization information from a parent node, (ii) adjust its clock based on the received time synchronization information, and (iii) broadcast time synchronization information based on the time synchronization information received by that wireless node. The time synchronization information received by each of the other wireless nodes is based on time synchronization information provided by the cluster master so that the other wireless nodes substantially synchronize their clocks with the clock of the cluster master.

  8. agricultural information system: Topics by E-print Network

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

    technology, GIS technology, GPS technology, database technology, network technology, agriculture intelligent technology, multimedia technology, information auto acquired technology...

  9. Artificial Neural Networks and quadratic Response Surfaces for the functional failure analysis of a thermal-hydraulic passive system

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    system reliability, artificial neural network, quadratic response surface 1. INTRODUCTION Modern nuclearArtificial Neural Networks and quadratic Response Surfaces for the functional failure analysis of a thermal-hydraulic passive system George Apostolakisa , Nicola Pedronib , Enrico Ziob* a Massachusetts

  10. Self-similar Network Approach to Modeling Complex Geophysical Systems

    E-Print Network [OSTI]

    on networks The research will have direct impact on Hydrology: environmental transport on river and hillslope will have direct impact on Hydrology: environmental transport on river and hillslope networks, scaling processes on networks The research will have direct impact on Hydrology: environmental transport on river

  11. Co-Simulation Tools for Networked Control Systems

    E-Print Network [OSTI]

    Branicky, Michael S.

    /Plant Extension ! NSCSPlant, NSCSController Extensions ! Modelica/ns-2 Integration [BPZ'02 NCS Co medium (wire/wireless link) Network node (data source) Network node (data sink) From Modelica to ns-2 From ns-2 to Modelica [Al-Hammouri, Agrawal, Liberatore, Branicky] Network View Example Reference Speed

  12. Los Alamos National Security LLC Selected to Manage Los Alamos...

    Office of Environmental Management (EM)

    to be the management and operations contractor for Los Alamos National Laboratory in New Mexico. Los Alamos National Security LLC is a limited liability corporation made up of...

  13. FY 2010 Los Alamos National Security, LLC, PER Summary | National...

    National Nuclear Security Administration (NNSA)

    Los Alamos National Security, LLC, PER Summary | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing...

  14. FY 2008 Los Alamos National Security, LLC, PER Summary | National...

    National Nuclear Security Administration (NNSA)

    Los Alamos National Security, LLC, PER Summary | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing...

  15. Department of Energy Cites Battelle Energy Alliance, LLC for...

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

    Classified Information Security Violations Department of Energy Cites Battelle Energy Alliance, LLC for Classified Information Security Violations February 25, 2011 - 12:00am...

  16. FY 2007 National Security Technologies, LLC, PER Summary | National...

    National Nuclear Security Administration (NNSA)

    National Security Technologies, LLC, PER Summary | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing...

  17. FY 2008 National Security Technologies, LLC, PER Summary | National...

    National Nuclear Security Administration (NNSA)

    National Security Technologies, LLC, PER Summary | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing...

  18. FY 2009 National Security Technologies, LLC, PER Summary | National...

    National Nuclear Security Administration (NNSA)

    National Security Technologies, LLC, PER Summary | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing...

  19. FY 2010 National Security Technologies, LLC, PER Summary | National...

    National Nuclear Security Administration (NNSA)

    National Security Technologies, LLC, PER Summary | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing...

  20. FY 2006 National Security Technologies, LLC, PER Summary | National...

    National Nuclear Security Administration (NNSA)

    National Security Technologies, LLC, PER Summary | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing...

  1. EA-1970: Fishermen's Energy LLC Offshore Wind Demonstration Project...

    Office of Environmental Management (EM)

    to Fishermen's Atlantic City Windfarm, LLC to construct and operate up to six wind turbine generators, for an offshore wind demonstration project, approximately 2.8 nautical...

  2. AWARD FEE PLAN FOR Babcock and Wilcox Conversion Services, LLC

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

    Services, LLC Second Period -October 1, 2012 through September 30, 2013 Operations of Depleted Uranium Hexafluoride (DUF 6 ) Conversion Facilities at Paducah, Kentucky and...

  3. Response from PJM Interconnection LLC and Pepco to Department...

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

    PJM Interconnection LLC and Pepco to Department of Energy Request for Information Concerning the Potential Need for Potomac River Station Generation Response from PJM...

  4. Synchronization in node of complex networks consist of complex chaotic system

    SciTech Connect (OSTI)

    Wei, Qiang, E-mail: qiangweibeihua@163.com [Beihua University computer and technology College, BeiHua University, Jilin, 132021, Jilin (China); Digital Images Processing Institute of Beihua University, BeiHua University, Jilin, 132011, Jilin (China); Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, 116024 (China); Xie, Cheng-jun [Beihua University computer and technology College, BeiHua University, Jilin, 132021, Jilin (China); Digital Images Processing Institute of Beihua University, BeiHua University, Jilin, 132011, Jilin (China); Liu, Hong-jun [School of Information Engineering, Weifang Vocational College, Weifang, 261041 (China); Li, Yan-hui [The Library, Weifang Vocational College, Weifang, 261041 (China)

    2014-07-15T23:59:59.000Z

    A new synchronization method is investigated for node of complex networks consists of complex chaotic system. When complex networks realize synchronization, different component of complex state variable synchronize up to different scaling complex function by a designed complex feedback controller. This paper change synchronization scaling function from real field to complex field for synchronization in node of complex networks with complex chaotic system. Synchronization in constant delay and time-varying coupling delay complex networks are investigated, respectively. Numerical simulations are provided to show the effectiveness of the proposed method.

  5. Neural Networks and Expert Systems to solve the problems of large amounts of Experimental Data at JET

    E-Print Network [OSTI]

    Neural Networks and Expert Systems to solve the problems of large amounts of Experimental Data at JET

  6. An adaptive artificial neural network model for sizing stand-alone photovoltaic systems: Application for isolated sites in Algeria

    E-Print Network [OSTI]

    Mellit, A; Hadj-Arab, A; Guessoum, A

    2004-01-01T23:59:59.000Z

    An adaptive artificial neural network model for sizing stand-alone photovoltaic systems: Application for isolated sites in Algeria

  7. NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Maximizing Thermal Efficiency and

    E-Print Network [OSTI]

    and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Maximizing Thermal Efficiency energy management (AHEM), and energy storage systems, scientists uncover solutions for cost vehicle energy storage components and systems. Addressing Industry Challenges Industry seeks performance

  8. Well Monitoring System for EGS

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

    Peer Review Well Monitoring Systems for EGS Principal Investigator Randy Normann Perma Works LLC May 19, 2010 This presentation does not contain any proprietary confidential, or...

  9. ad converter system: Topics by E-print Network

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

    based on a PROFIBUS network and standard industrial components (HP-UNIX, Siemens S7 PLC, Siemens Industrial PC, door locks), guarantees reliability, safety and optimal...

  10. Solar Energy Collection and Management for Networked Infomechanical Systems (NIMS)

    E-Print Network [OSTI]

    2003-01-01T23:59:59.000Z

    Networked Sensing Solar Energy Collection and Management forProposed Solution: Solar Energy Harvesting Why is Solarbeing recharged • Solar energy harvesting and storage allow

  11. aggregated systems model: Topics by E-print Network

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

    Dieter Mayrhofer Institute of Software@big.tuwien.ac.at Abstract. Inter-organizational business process models are created and used by different partner networks 447...

  12. ajcc staging system: Topics by E-print Network

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

    that provides network transparent robot control. Player seeks to constrain controller design as little as possible; it is device independent, non-locking and language- and...

  13. Sestar Technologies, LLC Revolutionar y Solar Energy Products

    E-Print Network [OSTI]

    Jawitz, James W.

    Sestar Technologies, LLC Revolutionar y Solar Energy Products Sestar Technologies, LLC (SESTAR) is developing revolutionary solar energy products that will be integral components in the ultimate solution to the world's current and future energy pro- grams. It will lead to paradigm shifts in a number of solar

  14. The use of networking in the DIII-D data acquisition and analysis computer systems

    SciTech Connect (OSTI)

    McHarg, B.B., Jr.

    1987-10-01T23:59:59.000Z

    DIII-D is a large plasma physics and fusion research experiment funded by the Department of Energy. Each shot of the experiment is currently generating nearly 20 megabytes of data which is acquired primarily by MODCOMP Classic computer systems and analyzed by DEC VAX computer systems. Shots are repeated about once every 10 minutes with 40--50 shots per operating day. As the data size and need for data access has grown, the computer systems have evolved from distinct systems to loosely coupled systems to, in some cases, tightly coupled systems. The networking or connectivity of the systems has become an integral and necessary part of the data acquisition and analysis process. The MODCOMP systems utilize networking software to allow one computer to activate tasks on another computer and to transfer data between computers. A Network Systems Hyperchannel link is used for data transfer between MODCOMP and VAX computers. The heaviest use of networking is between the VAX systems which are all connected by DECnet. Networking software have been developed to provide transparent remote user data access, remote printing, the running of tasks on other systems, and the collection of raw and calculated results from other systems. 7 refs., 4 figs.

  15. A Policy Management System for Hybrid Networks N Vardalachos, J Rubio, A Galis and J Serrat

    E-Print Network [OSTI]

    Haddadi, Hamed

    management architecture devised for management of IP over WDM networks and is part of the work carried outA Policy Management System for Hybrid Networks N Vardalachos, J Rubio, A Galis and J Serrat University College London, Universitat Politècnica de Catalunya Abstract: The management of heterogeneous

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

    E-Print Network [OSTI]

    Osowski, Stanislaw

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

  17. Smart Messages: A Distributed Computing Platform for Networks of Embedded Systems

    E-Print Network [OSTI]

    Rutgers University

    Smart Messages: A Distributed Computing Platform for Networks of Embedded Systems Porlin Kang In this paper, we present the design and imple- mentation of Smart Messages, a distributed comput- ing platform Following the rapid development of sensor net- work technologies [12, 26­28, 32], networks of em- bedded

  18. A WIRELESS SENSOR NETWORK SYSTEM DEPLOYMENT FOR DETECTING STICK SLIP MOTION IN GLACIERS

    E-Print Network [OSTI]

    Southampton, University of

    A WIRELESS SENSOR NETWORK SYSTEM DEPLOYMENT FOR DETECTING STICK SLIP MOTION IN GLACIERS K. Martinez, jhart@soton.ac.uk Keywords: Glaciers, Environmental sensor networks Abstract The behaviour of glaciers The current understanding of how glaciers and ice sheets respond to climate change is extremely limited

  19. Computer Science Adjunct Faculty Position for Computer Networks and Database Systems

    E-Print Network [OSTI]

    Plotkin, Joshua B.

    Computer Science Adjunct Faculty Position for Computer Networks and Database Systems Connecticut College is seeking an adjunct professor (rank open) of computer science to teach Computer Networks (COM315 have a Masters or equivalent in Computer Science or related field. The catalog course descriptions

  20. A Special-Purpose Peer-to-Peer File Sharing System for Mobile Ad Hoc Networks

    E-Print Network [OSTI]

    Lindemann, Christoph

    application scenarios include sharing traffic and weather data by car-to-car communication in a wideA Special-Purpose Peer-to-Peer File Sharing System for Mobile Ad Hoc Networks Alexander Klemm-to-peer (P2P) file sharing for mobile ad hoc networks (MANET) requires the construction of a search algorithm

  1. Energy-aware 3-level coding and control co-design for sensor network systems

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Energy-aware 3-level coding and control co-design for sensor network systems CARLOS CANUDAS energy consumption (energy-aware). To this aim, we propose to use a coding strategy with the ability that this coding algorithm preserves closed loop stability. Index Terms-- Control of sensor networks, energy-aware

  2. Design and Analysis of Micro-Solar Power Systems for Wireless Sensor Networks

    E-Print Network [OSTI]

    Culler, David E.

    design guidelines for micro-solar power systems. Keywords-- Micro-Solar Power Systems, Solar Energy Har of the four components of a micro- solar power system models various design choices. Based on this modelDesign and Analysis of Micro-Solar Power Systems for Wireless Sensor Networks Jaein Jeong, Xiaofan

  3. IEEE TRANSACTIONS ON POWER SYSTEMS 1 MILP Formulation for Islanding of Power Networks

    E-Print Network [OSTI]

    Grothey, Andreas

    IEEE TRANSACTIONS ON POWER SYSTEMS 1 MILP Formulation for Islanding of Power Networks P. A. Trodden. Index Terms--Power system modeling, Power system security, Optimization, Integer programming, Blackouts factors emerge. Modern power systems are being operated closer to limits: liberaliza- tion of the markets

  4. USENIX Association 10th USENIX Symposium on Networked Systems Design and Implementation (NSDI '13) 1 Composing Software-Defined Networks

    E-Print Network [OSTI]

    Singh, Jaswinder Pal

    USENIX Association 10th USENIX Symposium on Networked Systems Design and Implementation (NSDI '13- current tasks, from routing and traffic monitoring, to ac- cess control and server load balancing that implic- itly constrains what the module can see and do. Finally, we define a new abstract packet model

  5. Study of a Fault Analysis System for a Heat Supply Network Based on GIS 

    E-Print Network [OSTI]

    Zou, P.; Liu, M.; Tang, H.; Wang, X.; Li, N.; Wang, W.

    2006-01-01T23:59:59.000Z

    of heat supply network while city heat supply network?s operation time becomes longer and the heat consumer?s number becomes larger. Furthermore, it?s rather difficult to know the pipeline situation, for the complex laying structure, the ceaseless... changing of overground buildings and underground pineline. It?s typical for china?s city pipe network that the data are lack and the layouts of pipeline are complex. Because of these, it is difficult to operate and manage the heating system. Especially...

  6. KYDEX, LLC Inventory Accuracy Project Recap Summary Brett Moyer, Daniel Shen, Shreyank Patel, Sidra Maryam, Yuxiang Zhang

    E-Print Network [OSTI]

    Demirel, Melik C.

    KYDEX, LLC Inventory Accuracy Project Recap Summary Brett Moyer, Daniel Shen, Shreyank Patel, Sidra, of this project was to improve the accuracy of the inventory system from 30% to 75%. After conducting site visits and analyzing the scrap inventory data and the movement of scrap material, a list of improvement targets

  7. LappinTech LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant Jump to:Landowners and Wind Energy Development Jump to:Wave PowerLaos:LappinTech LLC

  8. Lite Trough LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant Jump to:Landowners and WindLightingLinthicum, Maryland:source HistoryLite Trough LLC

  9. Franklin County Wind LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489Information HydroFontana,datasetWind Farm JumpPhaseIslandsLLC

  10. Generating Assets LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489InformationFrenchtown,Jump to: navigation, searchEnergyLLC

  11. Genesis Solar LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489InformationFrenchtown,Jump to: navigation,Holding CoLLC Jump

  12. Western Ethanol Company LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown ofNationwideWTED JumpHills, NewWestbrook, Minnesota:Western Ethanol Company LLC

  13. WilderShares LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown ofNationwideWTEDBird, Idaho: EnergyWhitmanLinkButton11759°,WilderShares LLC

  14. Wind Works LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown ofNationwideWTEDBird,Wilsonville, Oregon: EnergyWindCooperativesWind Works LLC

  15. Carbon2Algae, LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomassSustainableCSL GasPermitsGreen BioEnergy LLC Jump to:MicroTrust

  16. Cargill Power Markets LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomassSustainableCSL GasPermitsGreen BioEnergy LLC JumpCarbonaCarbozymePower

  17. Solar Panels Plus LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt LtdShawangunk, NewSingapore Jump to: navigation,Panels Plus LLC Jump to:

  18. Invenergy TN LLC | Open Energy Information

    Open Energy Info (EERE)

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

  19. Joe Mescan Windmill LLC | Open Energy Information

    Open Energy Info (EERE)

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  20. MCF Advisors LLC | Open Energy Information

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  1. Ultimate Best Buy LLC | Open Energy Information

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  2. Ultimate Biofuels LLC | Open Energy Information

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  3. Universal Entech LLC | Open Energy Information

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  4. Western Plains Energy LLC | Open Energy Information

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  5. S W Energy LLC | Open Energy Information

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  6. Prairie Ethanol LLC | Open Energy Information

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  7. R3 Energy LLC | Open Energy Information

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  8. Kaapa Ethanol LLC | Open Energy Information

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  9. Kansas Ethanol LLC | Open Energy Information

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  10. Norvento USA LLC | Open Energy Information

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  11. Perseus LLC (New York) | Open Energy Information

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  12. Perseus LLC (Washington DC) | Open Energy Information

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  13. Illinois River Energy LLC | Open Energy Information

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  14. Coral Power LLC (California) | Open Energy Information

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  15. Coral Power LLC (Nevada) | Open Energy Information

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  16. DPC Juniper, LLC | Open Energy Information

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  17. DPI Energy LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A Potential Microhydro Site Jump(Redirected fromCXDPC Juniper, LLC Jump

  18. DPS Gregory LLC | Open Energy Information

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  19. Davenport Power LLC | Open Energy Information

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  20. Duke Energy Carolinas, LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A Potential MicrohydroDistrict ofDongjin SemichemDuke Energy Carolinas, LLC

  1. Patriot Renewables LLC | Open Energy Information

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

  2. Prairie Wind Energy LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal PwerPerkins County, Nebraska: EnergyPiratiniEdwards,PoseyPoudrePowersPrairie Wind Energy LLC

  3. Pro Corn LLC | Open Energy Information

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  4. MRD Solutions LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose Bend < MHKconverter <WAG BuoyYOG <MP2 CapitalLLC Jump

  5. Innovation Forward, LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7Open EnergyHydrogenEnergyAgencyInnova SpAForward, LLC

  6. Separation Design Group LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |Rippey JumpAir JumpCaliforniaGroup LLC Jump to: navigation,

  7. Sioux River Ethanol LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |Rippey JumpAirPowerSilcioEthanol LLC Place: Hudson, South

  8. SmallFoot LLC | Open Energy Information

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  9. Center Ethanol Company LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovation inOpenadd: China Datang CorporationCenter Ethanol Company LLC Jump

  10. Chestnut Capital LLC | Open Energy Information

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

  11. Clyde Industrial, LLC | Open Energy Information

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

  12. EcoGen LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORTEnergy OffshoreDeveloper - Q &EnergieEPCEco2 LtdEcoGen LLC

  13. Gerlach Green Energy LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdf Jump1946865°,Park,2005)EnergyAmatitlanGmbHGeothermometry JumpGreen Energy LLC

  14. H2Scan LLC | Open Energy Information

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  15. Minuteman Wind LLC | Open Energy Information

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

  16. Mont Vista Capital LLC | Open Energy Information

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  17. NGEN Partners LLC | Open Energy Information

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  18. Nordic Windpower LLC | Open Energy Information

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

  19. Phoenix Bio Industries LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroupPerfectenergy International LimitedPhoenix Bio Industries LLC Jump to:

  20. Southwest Wind Consulting LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt LtdShawangunk,Southeast Colorado Power AssnInformationConsulting, LLC

  1. Stoneacre Energy Solutions LLC | Open Energy Information

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  2. Sundance Power LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries PvtStratosolar Jump to: navigation,SunElectra JumpSundance Power LLC Jump to:

  3. Superior Renewable Energy LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries PvtStratosolar Jump to:Holdings Co Ltd Place: Wuxi,EnergyRenewable Energy LLC

  4. Encap Development LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOEHazel Crest,Energy InformationEmily,Empower EnergyEncap Development LLC

  5. Encore Renewable Energy LLC | Open Energy Information

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  6. Northern Excellence Seed LLC | Open Energy Information

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  7. Northern Lights Ethanol LLC | Open Energy Information

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  8. Northwest Missouri Biofuels LLC | Open Energy Information

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  9. Midwest Renewable Energy LLC | Open Energy Information

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  10. Tres Amigas LLC | Open Energy Information

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  11. Tri Global Energy LLC | Open Energy Information

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  12. Tri State Biodiesel LLC | Open Energy Information

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  13. Trinity CO2 LLC | Open Energy Information

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  14. Cp Holdings Llc | Open Energy Information

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  15. Crivello Group LLC | Open Energy Information

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  16. Current Group LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, clickInformationNew|CoreCpWing County,ElectricCumingCurrent Group, LLC

  17. Current Technologies LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, clickInformationNew|CoreCpWing County,ElectricCumingCurrent Group,LLC Jump

  18. Tharaldson Ethanol LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries PvtStratosolarTharaldson Ethanol LLC Jump to: navigation, search Name: Tharaldson

  19. The Ashlawn Group LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries PvtStratosolarTharaldson Ethanol LLC Jump to: navigation, searchLook at the 4

  20. Macquarie Energy LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLu an Group Jump to:Macquarie Energy LLC Jump to: navigation,

  1. Standard Ethanol LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with formSoutheastern IL Elec Coop,Lanka-DLRStandard Ethanol LLC Jump to:

  2. Sterling Ethanol LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with formSoutheastern IL Elec Coop,Lanka-DLRStandardStaxeraEthanol LLC Jump to:

  3. Strategic Capital Investments LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with formSoutheastern IL ElecStrategic Capital Investments LLC Jump to:

  4. Strategic Energy LLC (California) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with formSoutheastern IL ElecStrategic Capital Investments LLC Jump to:SCF)

  5. Strategic Energy LLC (Connecticut) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with formSoutheastern IL ElecStrategic Capital Investments LLC Jump

  6. Strategic Energy LLC (Maryland) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with formSoutheastern IL ElecStrategic Capital Investments LLC JumpMaryland) Jump

  7. Strategic Energy LLC (Massachusetts) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with formSoutheastern IL ElecStrategic Capital Investments LLC JumpMaryland)

  8. Strategic Energy LLC (Michigan) | Open Energy Information

    Open Energy Info (EERE)

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

  9. Strategic Energy LLC | Open Energy Information

    Open Energy Info (EERE)

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

  10. Synergy Biofuels LLC | Open Energy Information

    Open Energy Info (EERE)

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

  11. Altira Group LLC | Open Energy Information

    Open Energy Info (EERE)

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

  12. Aston Solar LLC | Open Energy Information

    Open Energy Info (EERE)

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

  13. Conservation Capital LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.png ElColumbia,2005)Conservation Capital LLC Jump to:

  14. Current Connections LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.pngRoofs and HeatOpen EnergyRoadmap Meeting HomeLLC Address:

  15. NEF Advisors LLC | Open Energy Information

    Open Energy Info (EERE)

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

  16. NEXTGen Syndicate LLC | Open Energy Information

    Open Energy Info (EERE)

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

  17. Bethel Energy LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass ConversionsSouth Carolina:Energy LLC Place: Cardiff, California Zip: 92007

  18. Big Biodiesel LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass ConversionsSouth Carolina:Energy LLC2.9562798°,

  19. Turnbull Hydro LLC | Open Energy Information

    Open Energy Info (EERE)

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

  20. Renewable NRG LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt Ltd Jump to: navigation, searchRayreviewAl.,RenGenAmes,RenewableRFL JumpIncLLC

  1. Reunion Power LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt Ltd Jump to: navigation,Maze - Making theEngenharia Jump to: navigation,LLC

  2. Fuel Bio One LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdf Jump1946865°, -86.0529604° ShowCounty, California:Frontier,FryeBio One LLC

  3. UPC Solar Managment LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtle Airships JumpTypefor Africa | OpenSolar Managment LLC

  4. Virgin Bioverda LLC VBV | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga,planningFlowmeterUtah: Energy Resources JumpBioverda LLC VBV Jump to:

  5. Green Isle Energy LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating AGeothermal/Exploration <GlacialGoldenarticle isinEnergy, LLC Place:

  6. Green Light Energy LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating AGeothermal/Exploration <GlacialGoldenarticle isinEnergy, LLC Place:Green

  7. Advanced Renewables LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDITCaliforniaWeifangwiki HomeASNAddGlobe JumpRenewables LLC Place:

  8. American Agri diesel LLC | Open Energy Information

    Open Energy Info (EERE)

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

  9. Ardour Global Indexes LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovation in Carbon Capture andsoftware and hardware orIndexes LLC Jump to:

  10. CECG Maine, LLC | Open Energy Information

    Open Energy Info (EERE)

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

  11. EMC3, llc | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision| Open Jump to: navigation, searchEMC3, llc Jump to:

  12. Energy Capital LLC | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision|LLC Place: Ketchum, Idaho Zip: ID 83340 Sector:

  13. Enginuity Energy, LLC | Open Energy Information

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

  14. Environmental Capital Group LLC | Open Energy Information

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  15. Enviva Materials LLC | Open Energy Information

    Open Energy Info (EERE)

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

  16. FAS Technologies LLC | Open Energy Information

    Open Energy Info (EERE)

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

  17. An Equivalent Network for Load-Flow Analysis of Power Systems

    E-Print Network [OSTI]

    Johnson, Merion Luke

    1960-01-01T23:59:59.000Z

    AN EQUIVALENT NETWORK FOR LOAD-FLOW ANALYSIS OF POWER SYSTEMS A Thesis by Meri on L. Johnson Submitted to the Graduate School of the Agricultural and Mechanical College of Texas in partihl fulfillment of the requirements for the degree...

  18. Towards Quantifying the (In)Security of Networked Systems Xiaohu Li T. Paul Parker Shouhuai Xu

    E-Print Network [OSTI]

    Xu, Shouhuai

    Towards Quantifying the (In)Security of Networked Systems Xiaohu Li T. Paul Parker Shouhuai Xu Traditional security analyses are often geared towards cryptographic primitives or protocols. Although approach. 1 Introduction Traditional security analyses are typically geared to- wards cryptographic

  19. Incipient fault detection and identification in process systems using artificial neural networks

    E-Print Network [OSTI]

    Muthusami, Jayakumar

    1992-01-01T23:59:59.000Z

    INCIPIENT FAULT DETECTION AND IDENTIFICATION IN PROCESS SYSTEMS USING ARTIFICIAL NEURAL NETWORKS A Thesis by JAYAKUMAR MUTHUSAMI Submitted to the Office of Graduate Studies of Texas A@M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE December 1992 Major Subject: Mechanical Engineering INCIPIENT FAULT DETECTION AND IDENTIFICATION IN PROCESS SYSTEMS USING ARTIFICIAL NEURAL NETWORKS A Thesis JAYAKHMAH MUTHTJSAMI Approved a. s to style and content, by...

  20. Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Wednesday December 18th, 2013

    E-Print Network [OSTI]

    Brody, James P.

    Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Wednesday December 18th, 2013 Quick of copyrighted materials over the network is generally illegal unless you have the consent of the copyright

  1. Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Wednesday December 18th, 2013

    E-Print Network [OSTI]

    Brody, James P.

    Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Wednesday December 18th, 2013 Quick. If the campus receives an allegation of copyright infringement based on your use of the UCI network via an IP

  2. Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Wednesday December 18th, 2013

    E-Print Network [OSTI]

    Brody, James P.

    Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Wednesday December 18th, 2013 Quick network via an IP address assigned to you, the matter is referred to the Office of the Dean of Students

  3. Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Wednesday December 18th, 2013

    E-Print Network [OSTI]

    Brody, James P.

    Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Wednesday December 18th, 2013 QuickTorrent, it is often not legal to do so. Making copies of copyrighted materials over the network is generally illegal

  4. Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Wednesday December 18th, 2013

    E-Print Network [OSTI]

    Brody, James P.

    Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Wednesday December 18th, 2013 Quick the network is legal only with the consent of the copyright holder or when such copying can be classified

  5. Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Wednesday December 18th, 2013

    E-Print Network [OSTI]

    Brody, James P.

    Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Wednesday December 18th, 2013 Quick network via an IP address assigned to you, the matter is referred to Student Conduct in the Office

  6. Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Wednesday December 18th, 2013

    E-Print Network [OSTI]

    Brody, James P.

    Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Wednesday December 18th, 2013 Quick infringement based on your use of the UCI network via an IP address assigned to you, the matter is referred

  7. Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Wednesday December 18th, 2013

    E-Print Network [OSTI]

    Brody, James P.

    Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Wednesday December 18th, 2013 Quick of the UCI electronic community. Making copies of copyright materials over the network is legal only

  8. Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Wednesday December 18th, 2013

    E-Print Network [OSTI]

    Brody, James P.

    Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Wednesday December 18th, 2013 Quick or their agents. If you download copyrighted materials without permission, you could lose network access, and

  9. Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Wednesday December 18th, 2013

    E-Print Network [OSTI]

    Brody, James P.

    Home Help Desk Administrative Systems Services & Support Instruction & Research Network Telephone About OIT Wednesday December 18th, 2013 Quick not legal to do so. Making copies of copyrighted materials over the network is generally illegal unless you

  10. HPNAIDM: The High-Performance Network Anomaly/Intrusion Detection and Mitigation System

    SciTech Connect (OSTI)

    Chen, Yan [Northwesten University] [Northwesten University

    2013-12-05T23:59:59.000Z

    Identifying traffic anomalies and attacks rapidly and accurately is critical for large network operators. With the rapid growth of network bandwidth, such as the next generation DOE UltraScience Network, and fast emergence of new attacks/virus/worms, existing network intrusion detection systems (IDS) are insufficient because they: • Are mostly host-based and not scalable to high-performance networks; • Are mostly signature-based and unable to adaptively recognize flow-level unknown attacks; • Cannot differentiate malicious events from the unintentional anomalies. To address these challenges, we proposed and developed a new paradigm called high-performance network anomaly/intrustion detection and mitigation (HPNAIDM) system. The new paradigm is significantly different from existing IDSes with the following features (research thrusts). • Online traffic recording and analysis on high-speed networks; • Online adaptive flow-level anomaly/intrusion detection and mitigation; • Integrated approach for false positive reduction. Our research prototype and evaluation demonstrate that the HPNAIDM system is highly effective and economically feasible. Beyond satisfying the pre-set goals, we even exceed that significantly (see more details in the next section). Overall, our project harvested 23 publications (2 book chapters, 6 journal papers and 15 peer-reviewed conference/workshop papers). Besides, we built a website for technique dissemination, which hosts two system prototype release to the research community. We also filed a patent application and developed strong international and domestic collaborations which span both academia and industry.

  11. A prototype implementation of a network-level intrusion detection system. Technical report number CS91-11

    SciTech Connect (OSTI)

    Heady, R.; Luger, G.F.; Maccabe, A.B.; Servilla, M.; Sturtevant, J. [New Mexico Univ., Albuquerque, NM (United States). Dept. of Computer Science

    1991-05-15T23:59:59.000Z

    This paper presents the implementation of a prototype network level intrusion detection system. The prototype system monitors base level information in network packets (source, destination, packet size, time, and network protocol), learning the normal patterns and announcing anomalies as they occur. The goal of this research is to determine the applicability of current intrusion detection technology to the detection of network level intrusions. In particular, the authors are investigating the possibility of using this technology to detect and react to worm programs.

  12. FOA for the Demonstration of an Integrated Biorefinery System...

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

    Demonstration of an Integrated Biorefinery System: Abengoa Bioenergy Biomass of Kansas, LLC FOA for the Demonstration of an Integrated Biorefinery System: Blue Fire Ethanol, Inc...

  13. Department of Computer Science & Engineering A Survey on Communication Networks in Emergency Warning Systems

    E-Print Network [OSTI]

    Jain, Raj

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 3.5.1 Japanese Earthquake Early Warning System . . . . . . . . . . . . . . . . . . . . . 15 3 in Emergency Warning Systems Authors: Yan Li Abstract: N/A Type of Report: MS Project Report Department - ph: (314) 935-6160 #12;A Survey on Communication Networks in Emergency Warning Systems Student: Yan

  14. A Practical Theory of Micro-Solar Power Sensor Networks JAEIN JEONG, Cisco Systems

    E-Print Network [OSTI]

    California at Berkeley, University of

    9 A Practical Theory of Micro-Solar Power Sensor Networks JAEIN JEONG, Cisco Systems DAVID CULLER, University of California, Berkeley Building a micro-solar power system is challenging because it must address develop a practical theory of micro-solar power systems that is materialized in a simulation suite

  15. Autonomous Adaptive Resource Management in Sensor Network Systems for Environmental Monitoring

    E-Print Network [OSTI]

    Panangadan, Anand

    1 Autonomous Adaptive Resource Management in Sensor Network Systems for Environmental Monitoring rates, and routing of data) that impact the utilization of the system resources (such as energy reserves is illustrated on a coastal monitoring and forecast system that is in operation in the New York harbor

  16. A Hybrid Artificial Immune System and Self Organising Map for Network Intrusion

    E-Print Network [OSTI]

    Alvarez, Nadir

    A Hybrid Artificial Immune System and Self Organising Map for Network Intrusion Detection Simon T using an artificial immune system. Connections that are flagged as anoma- lous are then categorised://www.sciencedirect.com/science/article/pii/S0020025507005531.] Key words: Artificial immune system; Self Organizing Map; Intrusion detection; Genetic algorithm

  17. Energy Management System for an Hybrid Electric Vehicle, Using Ultracapacitors and Neural Networks

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Católica de Chile)

    Energy Management System for an Hybrid Electric Vehicle, Using Ultracapacitors and Neural Networks and specific energy contained in most electric batteries compared to that of gasoline, is resolved in hybrid to accept energy from regenerative braking. For this reason, hybrid systems use an auxiliary energy system

  18. THEORETICAL APPLICATION OF THE TENSORIAL ANALYSIS OF NETWORK FOR EMC AT THE SYSTEM LEVEL

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    THEORETICAL APPLICATION OF THE TENSORIAL ANALYSIS OF NETWORK FOR EMC AT THE SYSTEM LEVEL Olivier.maurice@mpsa.com ABSTRACT To resolve the Electromagnetic compatibility (EMC) at the system level we need developed by Gabriel KRON to compute all the interactions encountered in EMC on large systems. 1

  19. Virtual City Portal A Multi-Network Personal Information System for Automobile Users1

    E-Print Network [OSTI]

    Bruegge, Bernd

    Virtual City Portal ­ A Multi-Network Personal Information System for Automobile Users1 Richard the Virtual City Portal prototype that is developed within the SOFTNET project. The system allows automobile of information and entertainment services in an automobile environment poses certain requirements on system

  20. A Benchmarking System for Mobile Ad Hoc Network Routing Protocols

    E-Print Network [OSTI]

    Hiranandani, Daniel

    2012-01-01T23:59:59.000Z

    Limited. High-level smart meter data tra?c analysis, 2010. [2x2) equipped with smart energy meters that are able toas ?xed data sinks in smart energy meter networks [18] or

  1. Localized Pipeline Encroachment Detector System Using Sensor Network

    E-Print Network [OSTI]

    Ou, Xiaoxi 1986-

    2011-08-08T23:59:59.000Z

    NOMENCLATURE WSN Wireless Sensor Network ROW Right of Way WIFI Wireless Fidelity PC Personal Computer LED Light Emitting Diode USB Universal Serial Bus IEEE Institute of Electrical and Electronics Engineers A/D Analog to Digital WPAN Wireless...

  2. Systems Biology of Microbiota Metabolites and Adipocyte Transcription Factor Network 

    E-Print Network [OSTI]

    Choi, Kyungoh

    2013-07-17T23:59:59.000Z

    discovery with targeted mass spectrometry. A computational pathway analysis where microbiota metabolisms are modeled as a single metabolic network is utilized to predict a focused set of targets for multiple reaction monitoring (MRM) analysis. We validated...

  3. Secure and efficient wireless networks

    E-Print Network [OSTI]

    Bellardo, John Michael

    2006-01-01T23:59:59.000Z

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

  4. archaeal system ignicoccus: Topics by E-print Network

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

    we apply systems sciences to analyze the human locomotor system and develop a general theory that reveals the systemic destructive process in the locomotor system, linking...

  5. adrenergic nervous system: Topics by E-print Network

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

    whole nervous system 12;5 Nervous System Organization Central Nervous System (CNS) Brain Spinal Cord Peripheral Nervous System Somatic NS--receivessends messages to muscles...

  6. altered nervous system: Topics by E-print Network

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

    whole nervous system 12;5 Nervous System Organization Central Nervous System (CNS) Brain Spinal Cord Peripheral Nervous System Somatic NS--receivessends messages to muscles...

  7. Cyber-Physical System Security With Deceptive Virtual Hosts for Industrial Control Networks

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

    Vollmer, Todd; Manic, Milos

    2014-05-01T23:59:59.000Z

    A challenge facing industrial control network administrators is protecting the typically large number of connected assets for which they are responsible. These cyber devices may be tightly coupled with the physical processes they control and human induced failures risk dire real-world consequences. Dynamic virtual honeypots are effective tools for observing and attracting network intruder activity. This paper presents a design and implementation for self-configuring honeypots that passively examine control system network traffic and actively adapt to the observed environment. In contrast to prior work in the field, six tools were analyzed for suitability of network entity information gathering. Ettercap, anmore »established network security tool not commonly used in this capacity, outperformed the other tools and was chosen for implementation. Utilizing Ettercap XML output, a novel four-step algorithm was developed for autonomous creation and update of a Honeyd configuration. This algorithm was tested on an existing small campus grid and sensor network by execution of a collaborative usage scenario. Automatically created virtual hosts were deployed in concert with an anomaly behavior (AB) system in an attack scenario. Virtual hosts were automatically configured with unique emulated network stack behaviors for 92% of the targeted devices. The AB system alerted on 100% of the monitored emulated devices.« less

  8. Cyber-Physical System Security With Deceptive Virtual Hosts for Industrial Control Networks

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

    Vollmer, Todd; Manic, Milos

    2014-05-01T23:59:59.000Z

    A challenge facing industrial control network administrators is protecting the typically large number of connected assets for which they are responsible. These cyber devices may be tightly coupled with the physical processes they control and human induced failures risk dire real-world consequences. Dynamic virtual honeypots are effective tools for observing and attracting network intruder activity. This paper presents a design and implementation for self-configuring honeypots that passively examine control system network traffic and actively adapt to the observed environment. In contrast to prior work in the field, six tools were analyzed for suitability of network entity information gathering. Ettercap, an established network security tool not commonly used in this capacity, outperformed the other tools and was chosen for implementation. Utilizing Ettercap XML output, a novel four-step algorithm was developed for autonomous creation and update of a Honeyd configuration. This algorithm was tested on an existing small campus grid and sensor network by execution of a collaborative usage scenario. Automatically created virtual hosts were deployed in concert with an anomaly behavior (AB) system in an attack scenario. Virtual hosts were automatically configured with unique emulated network stack behaviors for 92% of the targeted devices. The AB system alerted on 100% of the monitored emulated devices.

  9. The development of an interactive microcomputer-based system to analyze linear network optimization problems

    E-Print Network [OSTI]

    Fowler, John Welsh

    1986-01-01T23:59:59.000Z

    AND CONCLUSIONS REFERENCES APPENDICES APPENDIX A ? USER' S MANUAL APPENDIX B ? CODE CHANGES NECESSARY TO PREVENT CYCLING IN THE K SHORTEST PATH PROBLEM VITA 90 92 94 95 110 112 LIST OF TABLES Table DISTANCE MATRIX Page 15 INPUT DATA FOR PLANNING... variety of problems and situations. Network analysis techniques have been used to model transportation systems, communication systems, distribution systems, river systems, precedence ordering of events, computer systems, etc. Phillips and Garcia [1981...

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

    SciTech Connect (OSTI)

    Brown, D L

    2009-05-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Yang, Shengxiang

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

  12. Performance of a Dynamically Controlled Inverter in a Photovoltaic System Interconnected with a Secondary Network Distribution System

    SciTech Connect (OSTI)

    Coddington, M. H.; Kroposki, B. D.; Basso, T.; Berger, D.; Crowell, K.; Hayes, J.

    2011-01-01T23:59:59.000Z

    In 2008, a 300 kW{sub peak} photovoltaic (PV) system was installed on the rooftop of the Colorado Convention Center (CCC). The installation was unique for the electric utility, Xcel Energy, as it had not previously permitted a PV system to be interconnected on a building served by the local secondary network distribution system (network). The PV system was installed with several provisions; one to prevent reverse power flow, another called a dynamically controlled inverter (DCI), that curtails the output of the PV inverters to maintain an amount of load supplied by Xcel Energy at the CCC. The DCI system utilizes current transformers (CTs) to sense power flow to insure that a minimum threshold is maintained from Xcel Energy through the network transformers. The inverters are set to track the load on each of the three phases and curtail power from the PV system when the generated PV system current reaches 95% of the current on any phase. This is achieved by the DCI, which gathers inputs from current transformers measuring the current from the PV array, Xcel, and the spot network load. Preventing reverse power flow is a critical technical requirement for the spot network which serve this part of the CCC. The PV system was designed with the expectation that the DCI system would not curtail the PV system, as the expected minimum load consumption was historically higher than the designed PV system size. However, the DCI system has operated many days during the course of a year, and the performance has been excellent. The DCI system at the CCC was installed as a secondary measure to insure that a minimum level of power flows to the CCC from the Xcel Energy network. While this DCI system was intended for localized control, the system could also reduce output percent if an external smart grid control signal was employed. This paper specifically focuses on the performance of the innovative design at this installation; however, the DCI system could also be used for new s- art grid-enabled distribution systems where renewables power contributions at certain conditions or times may need to be curtailed.

  13. An efficient algorithm for real-time network reconfiguration in large scale unbalanced distribution systems

    SciTech Connect (OSTI)

    Wang, J.C.; Chiang, H.D. [Cornell Univ., Ithaca, NY (United States). School of Electrical Engineering; Darling, G.R. [NYSEG Corp., Binghamton, NY (United States). Distribution System Dept.

    1996-02-01T23:59:59.000Z

    Real-time applications demand fast computation, this paper proposes an efficient algorithm for real-time network reconfiguration on large unbalanced distribution networks. A novel formulation of the network reconfiguration to achieve loss minimization and load balancing is given. To reduce computational requirements for the solution algorithm, well justified power flow and loss reduction formulas in terms of the on/off status of network switches are proposed for efficient system updating. The algorithm relies only on a few full power flow studies based on system states attained by explicit expressions using backward-forward sweeps for efficient computation of system`s states at the critical system operating points. The solution algorithm runs in an amount of time linearly proportional to the number of tie switches and the number of sectionalizing switches in the system. The solution algorithm has been implemented into a software package and tested on unbalanced distribution systems including a system with 292-buses, 76-laterals, 7 transformers, 45 switches and 255 lines sections under diverse system conditions.

  14. An efficient algorithm for real-time network reconfiguration in large scale unbalanced distribution systems

    SciTech Connect (OSTI)

    Wang, J.C.; Chiang, H.D. [Cornell Univ., Ithaca, NY (United States). School of Electrical Engineering; Darling, G.R. [NYSEG Corp., Binghamton, NY (United States). Distribution System Dept.

    1995-12-31T23:59:59.000Z

    Real-time applications demand fast computation, this paper proposes an efficient algorithm for real-time network reconfiguration on large unbalanced distribution networks. A novel formulation of the network reconfiguration to achieve loss minimization and load balancing is given. To reduce computational requirements for the solution algorithm, well justified power flow and loss reduction formulas in terms of the on/off status of network switches are proposed for efficient system updating. The algorithm relies only a few full power flow studies based on system states attained by explicit expressions using backward-forward sweeps for efficient computation of system`s states at the critical system operating points. The solution algorithm runs in an amount of time linearly proportional to the number of tie switches and the number of sectionalizing switches in the system. The solution algorithm has been implemented into a software package and tested on unbalanced distribution systems including a system with 292-buses, 76-laterals, 7 transformers, 45 switches and 255 lines sections under diverse system conditions.

  15. assessment information system: Topics by E-print Network

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

    This paper proposes key points for the timing and scope of enterprise systems benefit assessment. Enterprise systems (ES) such as enterprise resource planning (ERP) systems...

  16. analysis pgaa system: Topics by E-print Network

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

    Complex Adaptive System Division Center for Energy, Environmental & Economic Systems Analysis Energy systems are being privatized. Approach Argonne's Center for Energy,...

  17. analysis penetrometer system: Topics by E-print Network

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

    Complex Adaptive System Division Center for Energy, Environmental & Economic Systems Analysis Energy systems are being privatized. Approach Argonne's Center for Energy,...

  18. Equivalent circuits for power system studies on the A-C network calculator

    E-Print Network [OSTI]

    Kolb, Walter Jean

    1948-01-01T23:59:59.000Z

    -sequence network is often as high as 5+ or more of the self-impedance and therefore must be repre- sented on the Calculator to attain the desired accuracy. By definition, zero-sequence line currents and voltages to ground at any point in the system are equal 1n... of transient or subtransient reactance in place of the generator impedance Z in the positive-sequence network, Unbalanced faults necessitate the use of the zero- sequence network and for wye grounded generators the zero- sequence impedance of the generator...

  19. SCT&E LNG, LLC- 14-98-LNG

    Broader source: Energy.gov [DOE]

    The Office of Fossil Energy gives notice of receipt of an Application filed July 24, 2014, by SCT&E LNG, LLC (SCT&E), seeking a long-term multi-contract authorization to export domestically...

  20. EA-1784: Fotowatio Nevada Solar, LLC's Apex Solar Power Project...

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

    County, NV July 1, 2010 DOI-BLM-NV-S010-2010-0149-EA: Bureau of Land Management's Final Environmental Assessment Fotowatio Nevada Solar, LLC's APEX Solar Power Project in Clark...

  1. DOE Selects Mission Support Alliance, LLC for Mission Support...

    Office of Environmental Management (EM)

    Hanford Site September 3, 2008 - 3:20pm Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) today announced the Mission Support Alliance, LLC has been selected as the...

  2. Cameron LNG, LLC- FE Dkt. No. 15-67-LNG

    Broader source: Energy.gov [DOE]

    The Office of Fossil Energy gives notice of receipt of an Application filed on April 3, 2015, by Cameron LNG, LLC seeking long-term, multi-contract authorization to export domestically produced...

  3. Sabine Pass Liquefaction, LLC- Dkt. No 15-63-LNG

    Broader source: Energy.gov [DOE]

    The Office of Fossil Energy gives notice of receipt of an Application filed on April 20, 2015, by Sabine Pass Liquefaction, LLC (SPL), seeking long-term multi-contract authorization to export...

  4. Texas LNG Brownsville LLC- FE Dkt. 15-62-LNG

    Broader source: Energy.gov [DOE]

    The Office of Fossil Energy gives notice of receipt of an Application filed April 15, 2015, by Texas Brownsville LNG LLC (TBLNG), seeking a long-term multi-contract authorization to export...

  5. Alaska LNG Project LLC- 14-96-LNG

    Broader source: Energy.gov [DOE]

    The Office of Fossil Energy gives notice of receipt of an application filed on July 18, 2014, by, Alaska LNG Project LLC submits this application requesting long-term authorization to export 20...

  6. Independent Activity Report, Washington River Protection Solutions, LLC- October 2011

    Broader source: Energy.gov [DOE]

    Industrial Hygiene Surveillance of the Washington River Protection Solutions, LLC Industrial Hygiene Program Strategy and Implementation of the Hanford Concerns Council Recommendations [HIAR-ORP-2011-10-26

  7. Cameron LNG, LLC- FE Dkt. No. 15-90-LNG

    Broader source: Energy.gov [DOE]

    The Office of Fossil Energy gives notice of receipt of an Application filed May 28, 2015, by Cameron LNG, LLC (Cameron), seeking a long-term multi-contract authorization to export domestically...

  8. Preliminary Notice of Violation, Battelle Energy Alliance, LLC...

    Office of Environmental Management (EM)

    February 25, 2011 Preliminary Notice of Violation, Battelle Energy Alliance, LLC - February 25, 2011 February 25, 2011 On February 25, 2011, the U.S. Department of Energy (DOE)...

  9. Department of Energy Cites Battelle Energy Alliance, LLC for...

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

    for Worker Safety and Health Violations Department of Energy Cites Battelle Energy Alliance, LLC for Worker Safety and Health Violations June 20, 2014 - 2:00pm Addthis WASHINGTON,...

  10. Managed by UT-Battelle, LLC Final Technical Report Addendum

    E-Print Network [OSTI]

    Pennycook, Steve

    Managed by UT-Battelle, LLC Final Technical Report Addendum Characterization of Min-K TE-1400 by OAK RIDGE NATIONAL LABORATORY P.O. Box 2008 Oak Ridge, Tennessee 37831-6283 managed by UT-Battelle

  11. Alturas LLC- FE Dkt. No. 14-55-NG (FTA)

    Broader source: Energy.gov [DOE]

    The Office of Fossil Energy gives notice of receipt of an application filed on April 18, 2014, by Alturas LLC requesting long-term authority to export up to a total of 1.5 million metric tons ...

  12. Development of a System to Collect Social Network Data from College Students for Future Studies in Health Behavior and Academic Performance /

    E-Print Network [OSTI]

    Lah, Mike Myoungwhan

    2013-01-01T23:59:59.000Z

    1.2 Contagion in Social Networks . . . . 1.3 Isolatingcomponent of the social network of around 180 TritonScheduleSystem to Collect Social Network Data from College Students

  13. Reconstruction of Flaw Profiles Using Neural Networks and Multi-Frequency Eddy Current System

    SciTech Connect (OSTI)

    Chady, T.; Caryk, M. [Technical University of Szczecin, al. Piastow 19, 70-310 Szczecin (Poland)

    2005-04-09T23:59:59.000Z

    The objective of this paper is to identify profiles of flaws in conducting plates. To solve this problem, application of a multi-frequency eddy current system (MFES) and artificial neural networks is proposed. Dynamic feed-forward neural networks with various architectures are investigated. Extended experiments with all neural models are carried out in order to select the most promising configuration. Data utilized for the experiments were obtained from the measurements performed on the Inconel plates with EDM flaws.

  14. Hybrid Neural Network for Gas Analysis Measuring System Kazimierz Brudzewski

    E-Print Network [OSTI]

    Osowski, Stanislaw

    mixtures of air with these four pollutants. The signals obtained from the sensors have been processed using with hybrid neural network, can be used to determine the individual analyte concentrations in the mixture as pollutants: carbon oxide, methane, propane/buthane and methanol vapour. A small array of five semiconductor

  15. Test systems and mathematical models for transmission network expansion planning

    E-Print Network [OSTI]

    McCalley, James D.

    way the alternative models that are normally used for represent- ing a transmissions network$J, and .rjrepresent, respectivelythe cost of a circuit that can be added to right-of-way i-j, the susceptance of that circuit, the number of circuits added in right-of-way i-j,the number of circuits in the base case

  16. Optimizing protections against cascades in network systems: a modified binary

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    to the topology of an electricity infrastructure, i.e. the 380 kV Italian power transmission network. We only protection; line switching; cascading failure; differential evolution algorithm; multi-objective optimization, transportation) which the welfare and security of our nations rely on. Their security against cascading failures

  17. Simulation of flood flow in a river system using artificial neural networks Hydrology and Earth System Sciences, 9(4), 313321 (2005) EGU

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    2005-01-01T23:59:59.000Z

    Simulation of flood flow in a river system using artificial neural networks 313 Hydrology and Earth System Sciences, 9(4), 313321 (2005) © EGU Simulation of flood flow in a river system using artificial Artificial neural networks (ANNs) provide a quick and flexible means of developing flood flow simulation

  18. TESLA-Based Defense Against Pollution Attacks in P2P Systems with Network Coding

    E-Print Network [OSTI]

    Markopoulou, Athina

    TESLA-Based Defense Against Pollution Attacks in P2P Systems with Network Coding Anh Le, Athina and time asymmetry (as in TESLA [1]) to provide source authentication for the detection scheme and non; pollution; detection; identification; TESLA; homomorphic MAC. I. INTRODUCTION Peer-to-peer (P2P) systems

  19. Towards Embedded Wireless-Networked Intelligent Daylighting Systems for Commercial Buildings

    E-Print Network [OSTI]

    Agogino, Alice M.

    Towards Embedded Wireless-Networked Intelligent Daylighting Systems for Commercial Buildings Yao, daylighting systems are not widely used in the commercial office building. Barriers prohibiting adoption) `Smart Dust motes' wireless platforms is explored. Due to their small size, they can be placed directly

  20. LQG Control of Linear Systems with Network-Induced Varying Delay using the Delta Operator

    E-Print Network [OSTI]

    LQG Control of Linear Systems with Network-Induced Varying Delay using the Delta Operator Masakazu be represented as a linear delay- depending feedback from the state and the previous control signal. Finally control of linear systems with long random time delays in delta domain is proposed in [22]. By using