National Library of Energy BETA

Sample records for network cxs applied

  1. Delayed switching applied to memristor neural networks

    SciTech Connect (OSTI)

    Wang, Frank Z.; Yang Xiao; Lim Guan; Helian Na; Wu Sining; Guo Yike; Rashid, Md Mamunur

    2012-04-01

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

  2. Applying New Network Security Technologies to SCADA Systems.

    SciTech Connect (OSTI)

    Hurd, Steven A.; Stamp, Jason E.; Duggan, David P.; Chavez, Adrian R.

    2006-11-01

    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.

  3. Apply

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

    Applied Studies and Technology (AS&T) Applied Studies and Technology (AS&T) Applied Studies and Technology (AS&T) DOE established the Environmental Sciences Laboratory (ESL) in Grand Junction, Colorado, in 1991 to support its programs. ESL scientists perform applied research and laboratory-scale demonstrations of soil and groundwater remediation and treatment technologies. Capabilities Installation, monitoring, and operation of permeable reactive barriers Research of permeable

  4. Apply

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

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

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

    SciTech Connect (OSTI)

    Campi, G.; Pezzotti, G.; Fratini, M.; Ricci, A.; Burghammer, M.; Cancedda, R.; Mastrogiacomo, M.; Bukreeva, I.; Cedola, A.

    2013-12-16

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

  6. How To Apply

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

    CSCNSI How To Apply How to Apply for Computer System, Cluster, and Networking Summer Institute Emphasizes practical skills development Contact Leader Stephan Eidenbenz (505)...

  7. Network

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

    ESnet About ESnet Our Mission The Network ESnet History Governance & Policies Career Opportunities ESnet Staff & Org Chart Contact Us Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638 (Inside US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net About ESnet A Platform for Science Discovery The Energy Sciences Network (ESnet) is a high-performance, unclassified network built to

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

    Office of Science (SC) Website

    ASCR Home About Research Applied Mathematics Applied Mathematics Conferences And Workshops Computer Science Next Generation Networking Scientific Discovery through Advanced ...

  9. How To Apply

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

    How To Apply How to Apply for Computer System, Cluster, and Networking Summer Institute Emphasizes practical skills development Contacts Program Lead Carolyn Connor (505) 665-9891 Email Professional Staff Assistant Nickole Aguilar Garcia (505) 665-3048 Email The 2016 application process will commence January 5 through February 13, 2016. Applicants must be U.S. citizens. Required Materials Current resume Official university transcript (with Spring courses posted and/or a copy of Spring 2016

  10. CX-010756: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solar Utility Network Deployment Acceleration CX(s) Applied: A9, A11 Date: 08/15/2013 Location(s): Virginia Offices(s): Golden Field Office

  11. CX-011237: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Lightspeed Networks Inc. Fiber Installation CX(s) Applied: B4.9 Date: 10/24/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  12. Network Maps

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

    Network Maps Engineering Services The Network Network Maps Network Traffic Volume Historical Network Maps Network Facts & Stats Connected Sites Peering Connections ESnet...

  13. Applied combustion

    SciTech Connect (OSTI)

    1993-12-31

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

  14. Class network routing

    DOE Patents [OSTI]

    Bhanot, Gyan; Blumrich, Matthias A.; Chen, Dong; Coteus, Paul W.; Gara, Alan G.; Giampapa, Mark E.; Heidelberger, Philip; Steinmacher-Burow, Burkhard D.; Takken, Todd E.; Vranas, Pavlos M.

    2009-09-08

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

  15. Network Activity

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

    Statistics Network Activity Network Activity PDSF Network Uplinks to NERSC (dual 10 Gbps) NERSC Uplink to ESnet Last edited: 2011-03-31 22:20:59...

  16. Applied Research Center

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

    ARC Privacy and Security Notice Skip over navigation Search the JLab Site Applied Research Center Please upgrade your browser. This site's design is only visible in a graphical browser that supports web standards, but its content is accessible to any browser. Concerns? Applied Research Center ARC Home Consortium News EH&S Reports print version ARC Resources Commercial Tenants ARC Brochure Library Conference Room Applied Research Center Applied Research Center front view Applied Research

  17. Applied Mathematics | U.S. DOE Office of Science (SC)

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

    Applied Mathematics Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Applied Mathematics Conferences And Workshops Computer Science Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources Contact Information Advanced Scientific Computing Research U.S. Department of

  18. The Network

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

    Network Engineering Services The Network Network Maps Network Facts & Stats Connected Sites Peering Connections ESnet Site Availabiliy OSCARS Fasterdata IPv6 Network Network Performance Tools The ESnet Engineering Team Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638 (Inside US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net The Network A Nationwide Platform for Science Discovery The

  19. Applied & Computational Math

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

    & Computational Math - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us ... Twitter Google + Vimeo GovDelivery SlideShare Applied & Computational Math HomeEnergy ...

  20. Applied Computer Science

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

    7 Applied Computer Science Innovative co-design of applications, algorithms, and architectures in order to enable scientific simulations at extreme scale Leadership Group Leader ...

  1. CX-100389 Categorical Exclusion Determination | Department of...

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

    CX-100389 Categorical Exclusion Determination Magnetic Communication Network for Smart Photovoltaic Solar Power Modules Award Number: DE- EE-0007194 CX(s) Applied: A9, B5.15, B5.16 ...

  2. CX-010449: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  3. CX-012690: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  4. CX-011309: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Biofuels Retail Availability Improvement Network - Biodiesel Infrastructure Installation CX(s) Applied: B1.15, B1.23, B5.22 Date: 10/08/2013 Location(s): Wisconsin Offices(s): National Energy Technology Laboratory

  5. CX-011322: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  6. CX-011311: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  7. CX-011310: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  8. CX-010807: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Biofuels Retail Availability Improvement Network CX(s) Applied: B5.1, B5.22 Date: 08/08/2013 Location(s): Wisconsin Offices(s): National Energy Technology Laboratory

  9. CX-011323: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  10. CX-012297: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  11. CX-012298: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  12. CX-012337: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  13. CX-009160: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Underwater Active Acoustic Monitoring Network for Marine and Hydrokinetic Energy Projects CX(s) Applied: B3.3 Date: 09/24/2012 Location(s): Maine Offices(s): Golden Field Office

  14. CX-011685: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Lightspeed Network's Fiber Installation near Pilot Butte Substation CX(s) Applied: B4.7 Date: 01/15/2014 Location(s): Oregon Offices(s): Bonneville Power Administration

  15. CX-010952: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  16. CX-010450: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  17. CX-014286: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Deploy Wireless Guest Networks at Strategic Petroleum Reserve Sites CX(s) Applied: B1.7Date: 10/01/2015 Location(s): TexasOffices(s): Strategic Petroleum Reserve Field Office

  18. CX-100452 Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Solar Training Network and Solar Ready Vets Award Number: DE-EE0007319 CX(s) Applied: A9, A11 Solar Energy Technologies Office Date: 01/19/2016 Location(s): DC Office(s): Golden Field Office

  19. CX-011024: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biofuels Retail Availability Improvement Network - Biodiesel Fueling Infrastructure CX(s) Applied: B5.22 Date: 09/11/2013 Location(s): Wisconsin Offices(s): National Energy Technology Laboratory

  20. CX-011302: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  1. CX-008442: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Arizona Power Partners - Smart Grid Data Access from an Advanced Meter Reading Network CX(s) Applied: A9, B5.1 Date: 06/25/2012 Location(s): Arizona Offices(s): National Energy Technology Laboratory

  2. CX-011260: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  3. CX-011303: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  4. CX-010465: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  5. CX-007585: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  6. CX-011791: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Construction of an Autogas Refueling Network CX(s) Applied: B5.22 Date: 02/07/2014 Location(s): California Offices(s): National Energy Technology Laboratory

  7. CX-011269: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  8. CX-009453: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  9. CX-009349: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  10. CX-007454: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  11. CX-011268: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  12. CX-007489: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  13. CX-007583: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  14. CX-009348: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  15. CX-010972: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Clean Start Development of a National Liquid Propane (Autogas) Refueling Network CX(s) Applied: B5.22 Date: 09/16/2013 Location(s): Texas Offices(s): National Energy Technology Laboratory

  16. CX-010969: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Clean Start Development of a National Liquid Propane (Autogas) Refueling Network CX(s) Applied: B5.22 Date: 09/16/2013 Location(s): Florida Offices(s): National Energy Technology Laboratory

  17. CX-010970: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Clean Start Development of a National Liquid Propane (Autogas) Refueling Network CX(s) Applied: B5.22 Date: 09/16/2013 Location(s): New Hampshire Offices(s): National Energy Technology Laboratory

  18. CX-010971: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Clean Start Development of a National Liquid Propane (Autogas) Refueling Network CX(s) Applied: B5.22 Date: 09/16/2013 Location(s): Texas Offices(s): National Energy Technology Laboratory

  19. CX-010892: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Clean Start Development of a National Liquid Propane (Autogas) Refueling Network CX(s) Applied: B5.22 Date: 06/28/2013 Location(s): Texas Offices(s): National Energy Technology Laboratory

  20. CX-010637: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Clean Start Development of a National Liquid Propane (Autogas) Refueling Network CX(s) Applied: B5.22 Date: 06/28/2013 Location(s): Texas Offices(s): National Energy Technology Laboratory

  1. CX-007881: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solar Instructor Training Network - Midwest Provider CX(s) Applied: A9, A11 Date: 01/27/2012 Location(s): Wisconsin Offices(s): Golden Field Office

  2. CX-010284: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Construction of an Autogas Refueling Network CX(s) Applied: B5.22 Date: 05/10/2013 Location(s): West Virginia Offices(s): National Energy Technology Laboratory

  3. CX-009352: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Navy Yard Network Operations Center (Energy Regional Innovation Cluster) CX(s) Applied: A1, A9, B2.2 Date: 09/20/2012 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  4. CX-010617: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  5. CX-010616: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  6. CX-010600: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  7. CX-010601: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  8. CX-007911: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    South-Central Solar Instructor Training Network CX(s) Applied: A9, A11, B3.14 Date: 02/13/2012 Location(s): Texas Offices(s): Golden Field Office

  9. Applied Science/Techniques

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

    Applied ScienceTechniques Print The ALS is an excellent incubator of new scientific techniques and instrumentation. Many of the technical advances that make the ALS a world-class...

  10. Apply for Beamtime

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

    Apply for Beamtime Apply for Beamtime Print Friday, 28 August 2009 13:23 Available Beamlines Determine which ALS beamlines are suitable for your experiment. To do this, you can review the ALS Beamlines Directory, contact the appropriate beamline scientist listed on the Directory, and/or contact the This e-mail address is being protected from spambots. You need JavaScript enabled to view it . Log In to the ALSHub user portal ALSHub Login For More Information About the Types of Proposals To learn

  11. Applied Cathode Enhancement and

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

    Applied Cathode Enhancement and Robustness Technologies (ACERT) Team Our project team, a part of Los Alamos National Laboratory (LANL) comprised of world leading experts from fields of accelerator design & testing, chemical synthesis of nanomaterials (quantum dots), and shielding application of nanomaterials (graphene and other atomically-thin sheets). Our goal is to develop and demonstrate 'designer' cold cathode electron sources with tunable parameters (bandgap, efficiency, optical

  12. Applied Computer Science

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

    7 Applied Computer Science Innovative co-design of applications, algorithms, and architectures in order to enable scientific simulations at extreme scale Leadership Group Leader Linn Collins Email Deputy Group Leader (Acting) Bryan Lally Email Climate modeling visualization Results from a climate simulation computed using the Model for Prediction Across Scales (MPAS) code. This visualization shows the temperature of ocean currents using a green and blue color scale. These colors were

  13. Applied Modern Physics

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

    1 Applied Modern Physics From the first bionic eye to airport scanners that detect liquid explosives, our expertise in developing advanced diagnostics results in real-world innovations. Contact Us Group Leader (acting) John George Email Deputy Group Leader Larry Schultz Email Group Office (505) 665-2545 Email QkarD Quantum key distribution technology could ensure truly secure commerce, banking, communications and data transfer. Read more... A history of excellence in the development and use of

  14. Applied ALARA techniques

    SciTech Connect (OSTI)

    Waggoner, L.O.

    1998-02-05

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

  15. Apply for Beamtime

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

    Apply for Beamtime Print Available Beamlines Determine which ALS beamlines are suitable for your experiment. To do this, you can review the ALS Beamlines Directory, contact the appropriate beamline scientist listed on the Directory, and/or contact the This e-mail address is being protected from spambots. You need JavaScript enabled to view it . Log In to the ALSHub user portal ALSHub Login For More Information About the Types of Proposals To learn more about the three different types of

  16. Apply for Beamtime

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

    Apply for Beamtime Print Available Beamlines Determine which ALS beamlines are suitable for your experiment. To do this, you can review the ALS Beamlines Directory, contact the appropriate beamline scientist listed on the Directory, and/or contact the This e-mail address is being protected from spambots. You need JavaScript enabled to view it . Log In to the ALSHub user portal ALSHub Login For More Information About the Types of Proposals To learn more about the three different types of

  17. Applied Parallel Metadata Indexing

    SciTech Connect (OSTI)

    Jacobi, Michael R

    2012-08-01

    The GPFS Archive is parallel archive is a parallel archive used by hundreds of users in the Turquoise collaboration network. It houses 4+ petabytes of data in more than 170 million files. Currently, users must navigate the file system to retrieve their data, requiring them to remember file paths and names. A better solution might allow users to tag data with meaningful labels and searach the archive using standard and user-defined metadata, while maintaining security. last summer, I developed the backend to a tool that adheres to these design goals. The backend works by importing GPFS metadata into a MongoDB cluster, which is then indexed on each attribute. This summer, the author implemented security and developed the user interfae for the search tool. To meet security requirements, each database table is associated with a single user, which only stores records that the user may read, and requires a set of credentials to access. The interface to the search tool is implemented using FUSE (Filesystem in USErspace). FUSE is an intermediate layer that intercepts file system calls and allows the developer to redefine how those calls behave. In the case of this tool, FUSE interfaces with MongoDB to issue queries and populate output. A FUSE implementation is desirable because it allows users to interact with the search tool using commands they are already familiar with. These security and interface additions are essential for a usable product.

  18. ORISE: Applied health physics projects

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

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

  19. Information Science, Computing, Applied Math

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

    Information Science, Computing, Applied Math Information Science, Computing, Applied Math National security depends on science and technology. The United States relies on Los ...

  20. Nothing But Networking for Residential Network Members

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Peer Exchange Call: Nothing But Networking for Residential Network Members, Call Slides and Discussion Summary, March 12, 2015.

  1. Applied Mathematics Conferences and Workshops | U.S. DOE Office of Science

    Office of Science (SC) Website

    (SC) Applied Mathematics » Applied Mathematics Conferences And Workshops Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Applied Mathematics Conferences And Workshops Computer Science Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources Contact Information

  2. Sentient networks

    SciTech Connect (OSTI)

    Chapline, G.

    1998-03-01

    The engineering problems of constructing autonomous networks of sensors and data processors that can provide alerts for dangerous situations provide a new context for debating the question whether man-made systems can emulate the cognitive capabilities of the mammalian brain. In this paper we consider the question whether a distributed network of sensors and data processors can form ``perceptions`` based on sensory data. Because sensory data can have exponentially many explanations, the use of a central data processor to analyze the outputs from a large ensemble of sensors will in general introduce unacceptable latencies for responding to dangerous situations. A better idea is to use a distributed ``Helmholtz machine`` architecture in which the sensors are connected to a network of simple processors, and the collective state of the network as a whole provides an explanation for the sensory data. In general communication within such a network will require time division multiplexing, which opens the door to the possibility that with certain refinements to the Helmholtz machine architecture it may be possible to build sensor networks that exhibit a form of artificial consciousness.

  3. Applied Optoelectronics | Open Energy Information

    Open Energy Info (EERE)

    optical semiconductor devices, packaged optical components, optical subsystems, laser transmitters, and fiber optic transceivers. References: Applied Optoelectronics1...

  4. Apply

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

    Unofficial transcripts are acceptable. If transcripts are not in English, provide a translation. If grades are not in the U.S.-traditional lettered (A,B,C), or GPA (out of 4.0)...

  5. Network Policies

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

    Acceptable Use Policy About ESnet Our Mission The Network ESnet History Governance & Policies ESnet Policy Board ESCC Acceptable Use Policy Data Privacy Policy Facility Data Policy Career Opportunities ESnet Staff & Org Chart Contact Us Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638 (Inside US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net ESnet Acceptable Use Policy The

  6. Historical Network Maps

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

    Network Maps Network Traffic Volume Historical Network Maps Network Facts & Stats Connected Sites Peering Connections ESnet Site Availabiliy OSCARS Fasterdata IPv6 Network Network Performance Tools The ESnet Engineering Team Network R&D Software-Defined Networking (SDN) Experimental Network Testbeds Performance (perfSONAR) Software & Tools Development Data for Researchers Partnerships Publications Workshops Science Engagement Move your data Programs & Workshops Science

  7. Nothing But Networking for Residential Network Members | Department...

    Energy Savers [EERE]

    Nothing But Networking for Residential Network Members Nothing But Networking for Residential Network Members Better Buildings Residential Network Peer Exchange Call: Nothing But ...

  8. Quantifying evolvability in small biological networks

    SciTech Connect (OSTI)

    Nemenman, Ilya; Mugler, Andrew; Ziv, Etay; Wiggins, Chris H

    2008-01-01

    The authors introduce a quantitative measure of the capacity of a small biological network to evolve. The measure is applied to a stochastic description of the experimental setup of Guet et al. (Science 2002, 296, pp. 1466), treating chemical inducers as functional inputs to biochemical networks and the expression of a reporter gene as the functional output. The authors take an information-theoretic approach, allowing the system to set parameters that optimise signal processing ability, thus enumerating each network's highest-fidelity functions. All networks studied are highly evolvable by the measure, meaning that change in function has little dependence on change in parameters. Moreover, each network's functions are connected by paths in the parameter space along which information is not significantly lowered, meaning a network may continuously change its functionality without completely losing it along the way. This property further underscores the evolvability of the networks.

  9. HPSS Yearly Network Traffic

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

    HPSS Yearly Network Traffic HPSS Yearly Network Traffic Yearly Summary of IO Traffic Between Storage and Network Destinations These bar charts show the total transfer traffic for...

  10. Applied Materials | Argonne National Laboratory

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

    to apply the resulting insights to the design, synthesis, and testing of materials with improved properties and performance, including accident-tolerant and higher burn-up fuels. ...

  11. Applied Materials | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Name: Applied Materials Address: 3050 Bowers Avenue Place: Santa Clara, California Zip: 95054 Sector: Solar Website: www.appliedmaterials.com...

  12. NetworkX

    Energy Science and Technology Software Center (OSTI)

    2004-05-17

    NetworkX (abbreviated NX in the software and documentation) is a package for studying network structure using graph theory.

  13. Applied Sedimentology | Open Energy Information

    Open Energy Info (EERE)

    Sedimentology Jump to: navigation, search OpenEI Reference LibraryAdd to library Book: Applied Sedimentology Author R.C. Salley Published Academic Press, 2000 DOI Not Provided...

  14. ORISE: Applied health physics projects

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

    Applied health physics projects The Oak Ridge Institute for Science and Education (ORISE) provides applied health physics services to government agencies needing technical support for decommissioning projects. Whether the need is assistance with the development of technical basis documents or advice on how to identify, measure and assess the presence of radiological materials, ORISE can help determine the best course for an environmental cleanup project. Our key areas of expertise include fuel

  15. Information Science, Computing, Applied Math

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

    Information Science, Computing, Applied Math Information Science, Computing, Applied Math National security depends on science and technology. The United States relies on Los Alamos National Laboratory for the best of both. No place on Earth pursues a broader array of world-class scientific endeavors. Computer, Computational, and Statistical Sciences (CCS)» High Performance Computing (HPC)» Extreme Scale Computing, Co-design» supercomputing into the future Overview Los Alamos Asteroid Killer

  16. Physical Chemistry and Applied Spectroscopy

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

    PCS Physical Chemistry and Applied Spectroscopy We perform basic and applied research in support of the Laboratory's national security mission and serve a wide range of customers. Contact Us Group Leader Kirk Rector Deputy Group Leader Jeff Pietryga Group Office (505) 667-7121 Postdoctoral researcher Young-Shin Park characterizing emission spectra of LEDs in the Los Alamos National Laboratory optical laboratory. Postdoctoral researcher Young-Shin Park characterizing emission spectra of LEDs in

  17. Zone routing in a torus network

    DOE Patents [OSTI]

    Chen, Dong; Heidelberger, Philip; Kumar, Sameer

    2013-01-29

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

  18. CRC handbook of applied thermodynamics

    SciTech Connect (OSTI)

    Palmer, D.A. . Research and Development Dept.)

    1987-01-01

    The emphasis of this book is on applied thermodynamics, featuring the stage of development of a process rather than the logical development of thermodynamic principles. It is organized according to the types of problems encountered in industry, such as probing research, process assessment, and process development. The applied principles presented can be used in most areas of industry including oil and gas production and processing, chemical processing, power generation, polymer production, food processing, synthetic fuels production, specialty chemicals and pharmaceuticals production, bioengineered processes, etc.

  19. Groundwater Monitoring Network

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

    Groundwater Monitoring Network Groundwater Monitoring Network The network includes 92 natural sources, 102 regional aquifer wells, 41 intermediate-depth wells and springs, and 67 wells in alluvium in canyons. August 1, 2013 Map of LANL's groundwater monitoring network Map of LANL's groundwater monitoring network

  20. ESnet Network Operating System (ENOS)

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

    Experimental Network Testbeds Performance (perfSONAR) Software & Tools Development Data ... Blog ESnet Live Home Network R&D Software-Defined Networking (SDN) ENOS Network ...

  1. Interconnection networks

    DOE Patents [OSTI]

    Faber, V.; Moore, J.W.

    1988-06-20

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

  2. Applied Mathematics and Plasma Physics

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

    5 Applied Mathematics and Plasma Physics Maintaining mathematic, theory, modeling, and simulation capabilities in a broad set of areas Leadership Group Leader Pieter Swart Email Deputy Group Leader (Acting) Luis Chacon Email Contact Us Administrator Charlotte Lehman Email Electron density simulation Electron density from an orbital-free quantum molecular dynamics simulation for a warm dense plasma of deuterium at density 10 g/cc and temperature 10 eV. Mathematical, theory, modeling, and

  3. Summer of Applied Geophysical Experience

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

    Summer of Applied Geophysical Experience (SAGE) 2016 - Our 34 rd Year! SAGE is a 3-4 week research and education program in exploration geophysics for graduate, undergraduate students, and working professionals based in Santa Fe, NM, U.S.A. Application deadline March 27, 2016, 5:00pm MDT SAGE students, faculty, teaching assistants, and visiting scientists acquire, process and interpret reflection/refraction seismic, magnetotelluric (MT)/electromagnetic (EM), ground penetrating radar (GPR),

  4. Valley Entrepreneurs' Network (VEN) Monthly Network Meeting

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

    VEN Monthly Network Meeting Valley Entrepreneurs' Network (VEN) Monthly Network Meeting WHEN: Mar 05, 2015 5:30 PM - 7:00 PM WHERE: Anthony's At the Delta North Paseo De Onate, Española, NM CATEGORY: Community INTERNAL: Calendar Login Event Description An evening of exciting enterprise networking with like-minded entrepreneurs. For more information, contact Alejandro, VEN Coordinator, at (505) 410-0959

  5. Visual Matrix Clustering of Social Networks

    SciTech Connect (OSTI)

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

    2013-07-01

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

  6. International combustion engines; Applied thermosciences

    SciTech Connect (OSTI)

    Ferguson, C.R.

    1985-01-01

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

  7. Hit the Road: Applying Lessons from National Campaigns to a Local Context

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

    (201) | Department of Energy Hit the Road: Applying Lessons from National Campaigns to a Local Context (201) Hit the Road: Applying Lessons from National Campaigns to a Local Context (201) Better Buildings Residential Network Peer Exchange Call Series: Hit the Road: Applying Lessons from National Campaigns to a Local Context (201), call slides and discussion summary. Call Slides and Discussion Summary (2.91 MB) More Documents & Publications Leveraging Seasonal Opportunities for Marketing

  8. Damselfly Network Simulator

    Energy Science and Technology Software Center (OSTI)

    2014-04-01

    Damselfly is a model-based parallel network simulator. It can simulate communication patterns of High Performance Computing applications on different network topologies. It outputs steady-state network traffic for a communication pattern, which can help in studying network congestion and its impact on performance.

  9. HPSS Yearly Network Traffic

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

    HPSS Yearly Network Traffic HPSS Yearly Network Traffic Yearly Summary of I/O Traffic Between Storage and Network Destinations These bar charts show the total transfer traffic for each year between storage and network destinations (systems within and outside of NERSC). Traffic for the current year is an estimate derived by scaling the known months traffic up to 12 months. The years shown are calendar years. The first graph shows the overall growth in network traffic to storage over the years.

  10. Apply to the Cyclotron Institute REU Program

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

    Apply Now Applying for the 2016 NSF-REU Nuclear Physics and Nuclear Chemistry Program at the Cyclotron Institute (APPLICATION DEADLINE HAS PASSED. Please check back in Fall 2016 to apply for Summer 2017)

  11. T-596: 0-Day Windows Network Interception Configuration Vulnerability |

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

    Department of Energy 96: 0-Day Windows Network Interception Configuration Vulnerability T-596: 0-Day Windows Network Interception Configuration Vulnerability April 6, 2011 - 5:48am Addthis PROBLEM: 0-Day exploit of IPv4 and IPv6 mechanics and how it applies to Microsoft Windows Operating systems. PLATFORM: Microsoft Operating Systems (OS) Windows Vista, Windows 7, and Windows 2008 Server ABSTRACT: The links below describe a parasitic IPv6 layered over a native IPv4 network. This attack can

  12. Applied Intellectual Capital AIC | Open Energy Information

    Open Energy Info (EERE)

    Intellectual Capital AIC Jump to: navigation, search Name: Applied Intellectual Capital (AIC) Place: California Zip: 94501-1010 Product: Applied Intellectual Capital (AIC) was...

  13. Applied Materials Wind Turbine | Open Energy Information

    Open Energy Info (EERE)

    Wind Turbine Jump to: navigation, search Name Applied Materials Wind Turbine Facility Applied Materials Sector Wind energy Facility Type Community Wind Facility Status In Service...

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

    Energy Savers [EERE]

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

  15. Applied Ventures LLC | Open Energy Information

    Open Energy Info (EERE)

    Applied Ventures LLC Name: Applied Ventures LLC Address: 3050 Bowers Avenue Place: Santa Clara, California Zip: 95054 Region: Southern CA Area Product: Venture capital. Number...

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

    SciTech Connect (OSTI)

    Mwaffo, Violet; Porfiri, Maurizio; DeLellis, Pietro

    2014-03-15

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

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

    SciTech Connect (OSTI)

    Shi, Cindy

    2015-07-17

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

  18. Network II Database

    Energy Science and Technology Software Center (OSTI)

    1994-11-07

    The Oak Ridge National Laboratory (ORNL) Rail and Barge Network II Database is a representation of the rail and barge system of the United States. The network is derived from the Federal Rail Administration (FRA) rail database.

  19. Science-Driven Network

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

    Science-Driven Network Requirements for ESnet Update to the 2002 Office of Science Networking Requirements Workshop Report February 21, 2006 1-1 Science-Driven Network Requirements for ESnet Update to the 2002 Office of Science Networking Requirements Workshop Report February 21, 2006 Contributors Paul Adams, LBNL (Advanced Light Source) Shane Canon, ORNL (NLCF) Steven Carter, ORNL (NLCF) Brent Draney, LBNL (NERSC) Martin Greenwald, MIT (Magnetic Fusion Energy) Jason Hodges, ORNL (Spallation

  20. BES Science Network Requirements

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

    Network Requirements Report of the Basic Energy Sciences Network Requirements Workshop Conducted June 4-5, 2007 BES Science Network Requirements Workshop Basic Energy Sciences Program Office, DOE Office of Science Energy Sciences Network Washington, DC - June 4 and 5, 2007 ESnet is funded by the US Dept. of Energy, Office of Science, Advanced Scientific Computing Research (ASCR) program. Dan Hitchcock is the ESnet Program Manager. ESnet is operated by Lawrence Berkeley National Laboratory, which

  1. Calorimetry Network Program

    Energy Science and Technology Software Center (OSTI)

    1998-01-30

    This is a Windows NT based program to run the SRTC designed calorimeters. The network version can communicate near real time data and final data values over the network. This version, due to network specifics, can function in a stand-alone operation also.

  2. Metallic nanowire networks

    DOE Patents [OSTI]

    Song, Yujiang; Shelnutt, John A.

    2012-11-06

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

  3. LBNL Transactional Network Applications

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

    Transactional Network Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory LBNL Team: Mary Ann Piette, Richard Brown, Phil Price, Janie Page, Stephen Czarnecki, Anna Liao, Stephen Lanzisera, Jessica Granderson . LBNL Transactional Network Applications 2 | Building Technologies Office eere.energy.gov LBNL Transactional Network Applications Baseline Load Shape provides basis for measuring change in peak demand and energy use Demand Response Event Scheduler coordinates

  4. Enerlogics Networks | Open Energy Information

    Open Energy Info (EERE)

    Networks Name: Enerlogics Networks Place: Pittsburgh, Pennsylvania Product: buidling automation control systems to utility software solutions to telecommunication systems...

  5. Internet protocol network mapper

    DOE Patents [OSTI]

    Youd, David W.; Colon III, Domingo R.; Seidl, Edward T.

    2016-02-23

    A network mapper for performing tasks on targets is provided. The mapper generates a map of a network that specifies the overall configuration of the network. The mapper inputs a procedure that defines how the network is to be mapped. The procedure specifies what, when, and in what order the tasks are to be performed. Each task specifies processing that is to be performed for a target to produce results. The procedure may also specify input parameters for a task. The mapper inputs initial targets that specify a range of network addresses to be mapped. The mapper maps the network by, for each target, executing the procedure to perform the tasks on the target. The results of the tasks represent the mapping of the network defined by the initial targets.

  6. How to Apply for the ENERGY STAR®

    Broader source: Energy.gov [DOE]

    Join us to learn about applying for ENERGY STAR Certification in Portfolio Manager. Understand the value of the ENERGY STAR certification, see the step-by-step process of applying, and gain tips to...

  7. Apply for Beam Time | Advanced Photon Source

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

    All About Proposals Users Home Apply for Beam Time Deadlines Proposal Types Concepts, Definitions, and Help My APS Portal My APS Portal Apply for Beam Time Next Proposal Deadline...

  8. Applying for PMCDP/FPD Certification (initial)

    Broader source: Energy.gov [DOE]

    Certification applicants are nominated by their respective Program Secretarial Office (PSO) to apply for FPD certification – candidates may not apply without program sponsorship. Each participating...

  9. Position estimation of transceivers in communication networks

    DOE Patents [OSTI]

    Kent, Claudia A.; Dowla, Farid

    2008-06-03

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

  10. CX-013850: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Real-Time In-Situ CO2 Monitoring (RICO2M) Network for Sensitive Subsurface Areas in CCS CX(s) Applied: B3.1, B5.13Date: 06/23/2015 Location(s): CaliforniaOffices(s): National Energy Technology Laboratory

  11. CX-100020: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Transforming Ordinary Building into Smart Buildings via Low-Cost; Self-Powering Wireless Sensors & Sensor Networks CX(s) Applied: A9, B3.6 Date: 08/18/2014 Location(s): Ohio Offices(s): Golden Field Office Technology Office: Building Technologies Award Number: DE-EE0006719

  12. CX-001032: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of an Autogas Network (Highway 6)CX(s) Applied: A9, B2.5, B3.6, B5.1Date: 03/02/2010Location(s): Houston, TexasOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  13. CX-100430 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advancing Hydrogen Dispenser Technology by Using Innovative Intelligent Networks Award Number: DE-EE0007273 CX(s) Applied: A9, B3.6, B5.22 Fuel Cell Technologies Office Date: 12/22/15 Location(s): MA Office(s): Golden Field Office

  14. CX-100479 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    State STEP Partnership – State Solar Energy Training and Network Award Number: DE-FOA-0001329 CX(s) Applied: A9, A11 Solar Energy Technologies Office Date: 02/17/2016 Location(s): CO Office(s): Golden Field Office

  15. CX-100499 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    DE-FOA-0001453 Establishment of an Inter-tribal Technical Assistance Energy Providers Network 2016 Award Number: DE-FOA-EE0001453 CX(s) Applied: A9, A11 Office of Indian Energy Date: 02/22/2016 Location(s): Nationwide Office(s): Golden Field Office

  16. CX-014216: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Real-Time In-Situ Carbon Dioxide Monitoring (RICO2M) Network for Sensitive Subsurface... CX(s) Applied: A9, B3.1, B3.6Date: 09/24/2015 Location(s): CaliforniaOffices(s): National Energy Technology Laboratory

  17. CX-011270: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  18. CX-100517 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    DE-FOA-0001453 Establishment of an Inter-tribal Technical Assistance Energy Providers Network – 2016 Award Number: DE-FOA-EE0001453 CX(s) Applied: A9, A11 Office of Indian Energy Date: 02/22/2016 Location(s): Nationwide Office(s): Golden Field Office

  19. Reconfigureable network node

    DOE Patents [OSTI]

    Vanderveen, Keith B.; Talbot, Edward B.; Mayer, Laurence E.

    2008-04-08

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

  20. Seven Deadliest Network Attacks

    SciTech Connect (OSTI)

    Prowell, Stacy J; Borkin, Michael; Kraus, Robert

    2010-05-01

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

  1. National Highway Planning Network

    Energy Science and Technology Software Center (OSTI)

    1992-02-02

    NHPN, the National Highway Planning Network, is a database of major highways in the continental United States that is used for national-level analyses of highway transportation issues that require use of a network, such as studies of highway performance, network design, social and environmental impacts of transportation, vehicle routing and scheduling, and mapping. The network is based on a set of roadways digitized by the U. S. Geological Survey (USGS) from the 1980 National Atlasmore » and has been enhanced with additional roads, attribute detail, and topological error corrections to produce a true analytic network. All data have been derived from or checked against information obtained from state and Federal governmental agencies. Two files comprise this network: one describing links and the other nodes. This release, NHPN1.0, contains 44,960 links and 28,512 nodes representing approximately 380,000 miles of roadway.« less

  2. Networking and Application Strategies

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

    Networking and Application Strategies Networking and Application Strategies Los Alamos Lab recruits the best minds on the planet and offers job search information and assistance to our dual career spouses or partners. Contact Us dualcareers@lanl.gov You know more people than you think Having strong existing connections and building new ones is essential to finding a job-especially for a dual career family that is new to the Los Alamos area. Networking is a proven and effective way to increase

  3. BER Science Network Requirements

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

    ... However, once this step is completed, the network transfers of data or documentation may not need the same level of protection accorded to the authentication credentials. For the ...

  4. LBNL Transactional Network Applications

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

    Load Shape provides basis for measuring change in peak demand and energy use Demand Response Event Scheduler coordinates DR signals from outside server with available network ...

  5. Energy Sciences Network (ESnet)

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

    making it the standard for research institutions today. Read More ESnet Releases Open Source Software from MyESnet Portal for Building Online Interactive Network Portals ESnet...

  6. battery electrode percolating network

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

    battery electrode percolating network - Sandia Energy Energy Search Icon Sandia Home ... Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel ...

  7. Network Requirements Reviews

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

    Reviews Network Requirements Reviews Documents and Background Materials FAQ for Case Study Authors BER Requirements Review 2015 ASCR Requirements Review 2015 Previous...

  8. Rooftop Unit Network Project

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

    part load performance - equipment maintenance * RTUs cannot easily interact with the ... Diagnostics - RTU Network Platform * Smart Monitoring and Diagnostics - Cloud * Autonomous ...

  9. Synchronization in Complex Oscillator Networks and Smart Grids

    SciTech Connect (OSTI)

    Dorfler, Florian; Chertkov, Michael; Bullo, Francesco

    2012-07-24

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

  10. Applied Field Research Initiative Deep Vadose Zone

    Office of Environmental Management (EM)

    Applied Field Research Initiative Deep Vadose Zone Located on the Hanford Site in Richland, Washington, the Deep Vadose Zone Applied Field Research Initiative (DVZ AFRI) was established to protect water resources by addressing the challenge of preventing contamination in the deep vadose zone from reaching groundwater. Led by the Pacific Northwest National Laboratory, the Initiative is a collaborative effort that leverages Department of Energy (DOE) investments in basic science and applied

  11. Applied Quantum Technology AQT | Open Energy Information

    Open Energy Info (EERE)

    Quantum Technology AQT Jump to: navigation, search Name: Applied Quantum Technology (AQT) Place: Santa Clara, California Zip: 95054 Product: California-based manufacturer of CIGS...

  12. Applied Energy Management | Open Energy Information

    Open Energy Info (EERE)

    Energy Management Jump to: navigation, search Name: Applied Energy Management Place: Huntersville, North Carolina Zip: 28078 Sector: Efficiency, Renewable Energy Product: North...

  13. Applied Materials Inc AMAT | Open Energy Information

    Open Energy Info (EERE)

    manufacturer of equipment used in solar (silicon, thin-film, BIPV), semiconductor, and LCD markets. References: Applied Materials Inc (AMAT)1 This article is a stub. You can...

  14. Better Buildings Residential Network | Department of Energy

    Energy Savers [EERE]

    Residential Buildings Better Buildings Residential Network Better Buildings Residential Network Better Buildings Residential Network Explore Latest Peer Exchange Call Summaries ...

  15. Form:Networking Organization | Open Energy Information

    Open Energy Info (EERE)

    Networking Organization Jump to: navigation, search Add a Networking Organization Input your networking organization name below to add to the registry. If your networking...

  16. Collective network routing

    DOE Patents [OSTI]

    Hoenicke, Dirk

    2014-12-02

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

  17. Nuclear Facilities and Applied Technologies at Sandia

    SciTech Connect (OSTI)

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

    2014-11-28

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

  18. Residential Network Members Unite to Form Green Bank Network...

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

    The NY Green Bank logo. Residential Network members Connecticut Green Bank and NY Green Bank, a division of Residential Network member New York State Energy Research and ...

  19. Scaling of multitension cosmic superstring networks

    SciTech Connect (OSTI)

    Tye, S.-H. Henry; Wasserman, Ira; Wyman, Mark

    2005-05-15

    Brane inflation in superstring theory ends when branes collide, initiating the hot big bang. Cosmic superstrings are produced during the brane collision. The cosmic superstrings produced in a D3-brane-antibrane inflationary scenario have a spectrum: (p,q) bound states of p fundamental (F) strings and q D-strings, where p and q are coprime. By extending the velocity-dependent one-scale network evolution equations for Abelian Higgs cosmic strings to allow a spectrum of string tensions, we construct a coupled (infinite) set of equations for strings that interact through binding and self-interactions. We apply this model to a network of (p,q) superstrings. Our numerical solutions show that (p,q) networks rapidly approach a stable scaling solution. We also extract the relative densities of each string type from our solutions. Typically, only a small number of the lowest tension states are populated substantially once scaling is reached. The model we study also has an interesting new feature: the energy released in (p,q) string binding is by itself adequate to allow the network to reach scaling. This result suggests that the scaling solution is robust. To demonstrate that this result is not trivial, we show that choosing a different form for string interactions can lead to network frustration.

  20. Pi in Applied Optics | GE Global Research

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

    Inside the Applied Optics Lab II Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click to share (Opens in new window) Click to share on LinkedIn (Opens in new window) Click to share on Tumblr (Opens in new window) The sPI CAM: Inside the Applied Optics Lab II The sPI Cam visits the Applied Optics Lab to see how Mark Meyers, a physicist and optical engineer at GE Global Research, uses Pi. You Might Also Like lightning bolt We One-Upped Ben Franklin,

  1. Thermal network reduction

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1983-01-01

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

  2. Thermal network reduction

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1983-06-01

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

  3. BES Science Network Requirements

    SciTech Connect (OSTI)

    Biocca, Alan; Carlson, Rich; Chen, Jackie; Cotter, Steve; Tierney, Brian; Dattoria, Vince; Davenport, Jim; Gaenko, Alexander; Kent, Paul; Lamm, Monica; Miller, Stephen; Mundy, Chris; Ndousse, Thomas; Pederson, Mark; Perazzo, Amedeo; Popescu, Razvan; Rouson, Damian; Sekine, Yukiko; Sumpter, Bobby; Dart, Eli; Wang, Cai-Zhuang -Z; Whitelam, Steve; Zurawski, Jason

    2011-02-01

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

  4. Genetic Algorithm Based Neural Networks for Nonlinear Optimization

    Energy Science and Technology Software Center (OSTI)

    1994-09-28

    This software develops a novel approach to nonlinear optimization using genetic algorithm based neural networks. To our best knowledge, this approach represents the first attempt at applying both neural network and genetic algorithm techniques to solve a nonlinear optimization problem. The approach constructs a neural network structure and an appropriately shaped energy surface whose minima correspond to optimal solutions of the problem. A genetic algorithm is employed to perform a parallel and powerful search ofmore » the energy surface.« less

  5. Overview of the NMSEA applied research program

    SciTech Connect (OSTI)

    Stickney, B.; Wilson, A.

    1980-01-01

    Recently the NMSEA has seen the need to augment its other informational programs with a program of in-house applied research. The reasoning behind this move is presented here along with and accounting of past research activities.

  6. Applied Energy Programs, SPO-AE: LANL

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

    Karl Jonietz 505-663-5539 Program Manager Melissa Fox 505-663-5538 Budget Analyst Fawn Gore 505-665-0224 The Applied Energy Program Office (SPO-AE) manages Los Alamos National...

  7. SAGE, Summer of Applied Geophysical Experience

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

    Apply Who Qualifies Special Undergrad Information Contributors Faculty Past Programs Photo Gallery NSEC » CSES » SAGE SAGE, the Summer of Applied Geophysical Experience A National Science Foundation Research Experiences for Undergraduates program Contacts Institute Director Reinhard Friedel-Los Alamos SAGE Co-Director W. Scott Baldridge-Los Alamos SAGE Co-Director Larry Braile-Purdue University Professional Staff Assistant Georgia Sanchez (505) 665-0855 Email SAGE Class of 2016 SAGE 2016

  8. How to Apply | Department of Energy

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

    How to Apply How to Apply Online Application Available at www.zintellect.com/Posting/Details/1997 Application deadline May 20, 2016. Familiarize yourself with the benefits, obligations, eligibility requirements, and evaluation criteria. Familiarize yourself with the requirements and obligations to determine whether your education and professional goals are well aligned with the EERE Postdoctoral Research Awards. Read the Evaluation Criteria that will be used to evaluate your application. It is

  9. LANSCE | Lujan Center | Apply for Beamtime

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

    Apply for Beamtime LANSCE User Resources Tips for a Successful Proposal Step 1: Apply for Beam Time 1. Select an Instrument and a Local Contact 2. Submit Your Proposal Step 2: Before You Arrive 1. Complete the LANSCE User Facility Agreement Questionnaire 2. Arrange for Site Access 3. Prepare for Your Experiment: Contact Lujan Experiment Coordinator to arrange shipping of your samples. Talk to the beamline scientist about any electrical equipment you might bring. 4. Complete your training Step 3:

  10. Energy Efficient Digital Networks

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

    and rising * About 7% of all U.S. electricity consumption -Much of this digitally networked already Our Future? Media room in high-end home Electronics are Different - Service ...

  11. NP Science Network Requirements

    SciTech Connect (OSTI)

    Dart, Eli; Rotman, Lauren; Tierney, Brian

    2011-08-26

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy (DOE) Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. To support SC programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In August 2011, ESnet and the Office of Nuclear Physics (NP), of the DOE SC, organized a workshop to characterize the networking requirements of the programs funded by NP. The requirements identified at the workshop are summarized in the Findings section, and are described in more detail in the body of the report.

  12. Energy Materials Network Overview

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

    30 th , 2016 2 MGI - Framework New Material Innovations for Clean Energy 2X Faster and 2X Cheaper Predictive Simulation Across Scales Synthesis & Characterization Rapid Screening End Use Performance Process Scalability Process Control Real-time Characterization Reliability Validation Data Management & Informatics Coordinated resource network with a suite of capabilities for advanced materials R&D In Support of the Materials Genome Initiative (MGI) 3 Network Requirements 1. WORLD

  13. Categorical Exclusion Determinations: Advanced Technology Vehicles...

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

    Reequipping and Engineering CX(s) Applied: B1.31, B5.1 Date: 09062011 ... Aptera All-Electric and Hybrid Electric Vehicles CX(s) Applied: B1.31, B5.1 Date: 0620...

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

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

    Reconstruction of the V.T. Hanlon Substation CX(s) Applied: B4.11 Date: 03232015 ... Reconstruction of the V.T. Hanlon Substation CX(s) Applied: B4.11 Date: 03232015 ...

  15. Software-Defined Networking (SDN)

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

    ENOS Experimental Network Testbeds Performance (perfSONAR) Software & Tools Development Data for Researchers Partnerships Publications Workshops Science Engagement Move your data Programs & Workshops Science Requirements Reviews Case Studies News & Publications ESnet News Publications and Presentations Galleries ESnet Awards and Honors Blog ESnet Live Home » Network R&D » Software-Defined Networking (SDN) Network R&D Software-Defined Networking (SDN) ENOS Experimental

  16. Method of applying coatings to substrates

    DOE Patents [OSTI]

    Hendricks, Charles D.

    1991-01-01

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

  17. Hit the Road: Applying Lessons from National Campaigns to a Local Context (201)

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

    Hit the Road: Applying Lessons from National Campaigns to a Local Context (201) July 23, 2015 Call Slides and Discussion Summary Agenda  Call Logistics and Introductions  Opening Poll  Residential Network and Peer Exchange Call Overview  Featured Speakers  David Caughran, Senior Policy Associate, Alliance to Save Energy  Maura Brueger, Director of Government and Legislative Affairs, Seattle City Light  Andrea Denny, Team Lead, Local Climate and Energy Program, U.S.

  18. High Density Sensor Network Development | The Ames Laboratory

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

    High Density Sensor Network Development

  19. How to Apply for Senior Executive positions

    Broader source: Energy.gov [DOE]

    To apply vacancies for SENIOR EXECUTIVE SERVICE (SES) , SENIOR LEVEL (SL), SCIENTIFIC AND PROFESSIONAL (ST) positions within the Department of Energy please visit OPM's website: http://www.usajobs.gov. From this site, you may download announcements for vacancies of interest to you.

  20. (Applied mass spectrometry in the health sciences)

    SciTech Connect (OSTI)

    Glish, G.L.

    1990-05-03

    The traveler attended the 2nd International Symposium on Applied Mass Spectrometry in the Health Sciences and presented and invited paper. Papers presented that were of interest to ORNL mass spectrometry programs involved ionization of large molecules by electrospray and laser desorption. Other papers of interest included applications of MS/MS for structural elucidation and new instrumentation.

  1. Uniform insulation applied-B ion diode

    DOE Patents [OSTI]

    Seidel, David B.; Slutz, Stephen A.

    1988-01-01

    An applied-B field extraction ion diode has uniform insulation over an anode surface for increased efficiency. When the uniform insulation is accomplished with anode coils, and a charge-exchange foil is properly placed, the ions may be focused at a point on the z axis.

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

    SciTech Connect (OSTI)

    Harwood, Caroline S

    2012-12-17

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

  3. Network topology mapper

    DOE Patents [OSTI]

    Quist, Daniel A.; Gavrilov, Eugene M.; Fisk, Michael E.

    2008-01-15

    A method enables the topology of an acyclic fully propagated network to be discovered. A list of switches that comprise the network is formed and the MAC address cache for each one of the switches is determined. For each pair of switches, from the MAC address caches the remaining switches that see the pair of switches are located. For each pair of switches the remaining switches are determined that see one of the pair of switches on a first port and the second one of the pair of switches on a second port. A list of insiders is formed for every pair of switches. It is determined whether the insider for each pair of switches is a graph edge and adjacent ones of the graph edges are determined. A symmetric adjacency matrix is formed from the graph edges to represent the topology of the data link network.

  4. Next Generation Networking | U.S. DOE Office of Science (SC)

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

    Next Generation Networking Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Next Generation Networking 2012 Scientific Collaborations at Extreme-Scale Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources Contact Information Advanced Scientific Computing Research U.S.

  5. Self-Configuring Network Monitor

    Energy Science and Technology Software Center (OSTI)

    2004-05-01

    Self-Configuring Network Monitor (SCNM) is a passive monitoring that can collect packet headers from any point in a network path. SCNM uses special activation packets to automatically activate monitors deployed at the layer three ingress and egress routers of the wide-area network, and at critical points within the site networks. Monitoring output data is sent back to the application data source or destination host. No modifications are required to the application or network routing infrastructuremore » in order to activate monitoring of traffic for an application. This ensures that the monitoring operation does not add a burden to the networks administrator.« less

  6. ASCR Science Network Requirements

    SciTech Connect (OSTI)

    Dart, Eli; Tierney, Brian

    2009-08-24

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In April 2009 ESnet and the Office of Advanced Scientific Computing Research (ASCR), of the DOE Office of Science, organized a workshop to characterize the networking requirements of the programs funded by ASCR. The ASCR facilities anticipate significant increases in wide area bandwidth utilization, driven largely by the increased capabilities of computational resources and the wide scope of collaboration that is a hallmark of modern science. Many scientists move data sets between facilities for analysis, and in some cases (for example the Earth System Grid and the Open Science Grid), data distribution is an essential component of the use of ASCR facilities by scientists. Due to the projected growth in wide area data transfer needs, the ASCR supercomputer centers all expect to deploy and use 100 Gigabit per second networking technology for wide area connectivity as soon as that deployment is financially feasible. In addition to the network connectivity that ESnet provides, the ESnet Collaboration Services (ECS) are critical to several science communities. ESnet identity and trust services, such as the DOEGrids certificate authority, are widely used both by the supercomputer centers and by collaborations such as Open Science Grid (OSG) and the Earth System Grid (ESG). Ease of use is a key determinant of the scientific utility of network-based services. Therefore, a key enabling aspect for scientists beneficial use of high

  7. The Mind Research Network - Mental Illness Neuroscience Discovery Grant

    SciTech Connect (OSTI)

    Roberts, J.; Calhoun, V.

    2013-12-17

    The scientific and technological programs of the Mind Research Network (MRN), reflect DOE missions in basic science and associated instrumentation, computational modeling, and experimental techniques. MRN's technical goals over the course of this project have been to develop and apply integrated, multi-modality functional imaging techniques derived from a decade of DOE-support research and technology development.

  8. Network resilience; A measure of network fault tolerance

    SciTech Connect (OSTI)

    Najjar, W. . Dept. of Computer Science); Gaudoit, J.L. . Dept. of Electrical Engineering)

    1990-02-01

    The failure of a node in a multicomputer system will not only reduce the computational power but also alter the network's topology. Network fault tolerance is a measure of the number of failures the network can sustain before a disconnection occurs. It is expressed traditionally as the network's node degree. In this paper, the authors propose a probabilistic measure of network fault tolerance expressed as the probability f a disconnection. Qualitative evaluation of this measure is presented. As expected, the single-node disconnection probability is the dominant factor irrespective of the topology under consideration. They derive an analytical approximation of the disconnection probability and verify it with Monte Carlo simulation. Based on this model, the measures of network resilience and relative network resilience are proposed as probabilistic measures of network fault tolerance. These are then used to evaluate the effects of the disconnection probability on the reliability of the system.

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

    DOE Patents [OSTI]

    Frogner, Bjorn; Guarro, Sergio; Scharf, Guy

    2004-05-11

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

  10. Northwest Biodiesel Network | Open Energy Information

    Open Energy Info (EERE)

    Biodiesel Network Jump to: navigation, search Logo: Northwest Biodiesel Network Name: Northwest Biodiesel Network Address: 6532 Phinney Ave N Place: Seattle, Washington Zip: 98103...

  11. Sustainable Agriculture Network | Open Energy Information

    Open Energy Info (EERE)

    Agriculture Network Jump to: navigation, search Logo: Sustainable Agriculture Network Name: Sustainable Agriculture Network Website: clima.sanstandards.org References: Sustainable...

  12. Benefits of Better Buildings Residential Network Reporting |...

    Energy Savers [EERE]

    Benefits of Better Buildings Residential Network Reporting Benefits of Better Buildings Residential Network Reporting Better Buildings Residential Network All-Member Peer Exchange ...

  13. Better Buildings Residential Network Orientation Webinar Call...

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

    ... Residential Network (Residential Network) Better Buildings Residential Network: Connects energy efficiency programs and partners to share best practices to increase the ...

  14. Solar Instructor Training Network | Department of Energy

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

    Instructor Training Network Solar Instructor Training Network The Solar Instructor Training Network promotes high-quality training in the installation of solar technologies. Nine ...

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

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

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

  16. Clean Economy Network Foundation | Open Energy Information

    Open Energy Info (EERE)

    Clean Economy Network Foundation Jump to: navigation, search Logo: Clean Economy Network Foundation Name: Clean Economy Network Foundation Address: 1301 Pennsylvania Ave NW, Suite...

  17. Applied Cathode Enhancement and Robustness Technologies (ACERT)

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

    Accelerators, Electrodynamics » ACERT Applied Cathode Enhancement and Robustness Technologies (ACERT) World leading experts from fields of accelerator design & testing, chemical synthesis of nanomaterials, and shielding application of nanomaterials. thumbnail of Nathan Moody Nathan Moody Principal Investigator (PI) Email ACERT Logo Team Our project team, a part of Los Alamos National Laboratory (LANL) comprised of world leading experts from fields of accelerator design & testing,

  18. Summer of Applied Geophysical Experience Reading List

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

    Geophysical Experience Reading List Summer of Applied Geophysical Experience Reading List A National Science Foundation Research Experiences for Undergraduates program Contacts Institute Director Reinhard Friedel-Los Alamos SAGE Co-Director W. Scott Baldridge-Los Alamos SAGE Co-Director Larry Braile-Purdue University Professional Staff Assistant Georgia Sanchez (505) 665-0855 Keller, R., Khan, M. A., Morgan, P., et al., 1991, A Comparative Study of the Rio Grande and Kenya rifts, Tectonophys.,

  19. Transactional Network Platform: Applications

    SciTech Connect (OSTI)

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

    2013-10-31

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

  20. Energy Materials Network Workshop

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Energy Materials Network (EMN) is a national lab-led initiative that aims to dramatically decrease the time-to-market for advanced materials innovations critical to many clean energy technologies. Through targeted consortia offering accessible suites of advanced research and development capabilities, EMN is accelerating materials development to address U.S. manufacturers' most pressing materials challenges.

  1. Microsystem process networks

    DOE Patents [OSTI]

    Wegeng, Robert S [Richland, WA; TeGrotenhuis, Ward E [Kennewick, WA; Whyatt, Greg A [West Richland, WA

    2010-01-26

    Various aspects and applications or microsystem process networks are described. The design of many types of microsystems can be improved by ortho-cascading mass, heat, or other unit process operations. Microsystems having energetically efficient microchannel heat exchangers are also described. Detailed descriptions of numerous design features in microcomponent systems are also provided.

  2. Microsystem process networks

    DOE Patents [OSTI]

    Wegeng, Robert S.; TeGrotenhuis, Ward E.; Whyatt, Greg A.

    2006-10-24

    Various aspects and applications of microsystem process networks are described. The design of many types of microsystems can be improved by ortho-cascading mass, heat, or other unit process operations. Microsystems having exergetically efficient microchannel heat exchangers are also described. Detailed descriptions of numerous design features in microcomponent systems are also provided.

  3. Microsystem process networks

    DOE Patents [OSTI]

    Wegeng, Robert S.; TeGrotenhuis, Ward E.; Whyatt, Greg A.

    2007-09-18

    Various aspects and applications of microsystem process networks are described. The design of many types of Microsystems can be improved by ortho-cascading mass, heat, or other unit process operations. Microsystems having energetically efficient microchannel heat exchangers are also described. Detailed descriptions of numerous design features in microcomponent systems are also provided.

  4. BER Science Network Requirements

    SciTech Connect (OSTI)

    Alapaty, Kiran; Allen, Ben; Bell, Greg; Benton, David; Brettin, Tom; Canon, Shane; Dart, Eli; Cotter, Steve; Crivelli, Silvia; Carlson, Rich; Dattoria, Vince; Desai, Narayan; Egan, Richard; Tierney, Brian; Goodwin, Ken; Gregurick, Susan; Hicks, Susan; Johnston, Bill; de Jong, Bert; Kleese van Dam, Kerstin; Livny, Miron; Markowitz, Victor; McGraw, Jim; McCord, Raymond; Oehmen, Chris; Regimbal, Kevin; Shipman, Galen; Strand, Gary; Flick, Jeff; Turnbull, Susan; Williams, Dean; Zurawski, Jason

    2010-11-01

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In April 2010 ESnet and the Office of Biological and Environmental Research, of the DOE Office of Science, organized a workshop to characterize the networking requirements of the science programs funded by BER. The requirements identified at the workshop are summarized and described in more detail in the case studies and the Findings section. A number of common themes emerged from the case studies and workshop discussions. One is that BER science, like many other disciplines, is becoming more and more distributed and collaborative in nature. Another common theme is that data set sizes are exploding. Climate Science in particular is on the verge of needing to manage exabytes of data, and Genomics is on the verge of a huge paradigm shift in the number of sites with sequencers and the amount of sequencer data being generated.

  5. Residential Network Members Unite to Form Green Bank Network

    Broader source: Energy.gov [DOE]

    Residential Network members Connecticut Green Bank and NY Green Bank, a division of Residential Network member New York State Energy Research and Development Authority, have helped launch the Green Bank Network, a new international organization focused on collaborating to scale up private financing to meet the challenge of climate change.

  6. Applying a Modified Triad Approach to Investigate Wastewater lines

    SciTech Connect (OSTI)

    Pawlowicz, R.; Urizar, L.; Blanchard, S.; Jacobsen, K.; Scholfield, J.

    2006-07-01

    Approximately 20 miles of wastewater lines are below grade at an active military Base. This piping network feeds or fed domestic or industrial wastewater treatment plants on the Base. Past wastewater line investigations indicated potential contaminant releases to soil and groundwater. Further environmental assessment was recommended to characterize the lines because of possible releases. A Remedial Investigation (RI) using random sampling or use of sampling points spaced at predetermined distances along the entire length of the wastewater lines, however, would be inefficient and cost prohibitive. To accomplish RI goals efficiently and within budget, a modified Triad approach was used to design a defensible sampling and analysis plan and perform the investigation. The RI task was successfully executed and resulted in a reduced fieldwork schedule, and sampling and analytical costs. Results indicated that no major releases occurred at the biased sampling points. It was reasonably extrapolated that since releases did not occur at the most likely locations, then the entire length of a particular wastewater line segment was unlikely to have contaminated soil or groundwater and was recommended for no further action. A determination of no further action was recommended for the majority of the waste lines after completing the investigation. The modified Triad approach was successful and a similar approach could be applied to investigate wastewater lines on other United States Department of Defense or Department of Energy facilities. (authors)

  7. Fault diagnosis via neural networks: The Boltzmann machine

    SciTech Connect (OSTI)

    Marseguerra, M.; Zio, E. . Dept. of Nuclear Engineering)

    1994-07-01

    The Boltzmann machine is a general-purpose artificial neural network that can be used as an associative memory as well as a mapping tool. The usual information entropy is introduced, and a network energy function is suitably defined. The network's training procedure is based on the simulated annealing during which a combination of energy minimization and entropy maximization is achieved. An application in the nuclear reactor field is presented in which the Boltzmann input-output machine is used to detect and diagnose a pipe break in a simulated auxiliary feedwater system feeding two coupled steam generators. The break may occur on either the hot or the cold leg of any of the two steam generators. The binary input data to the network encode only the trends of the thermohydraulic signals so that the network is actually a polarity device. The results indicate that the trained neural network is actually capable of performing its task. The method appears to be robust enough so that it may also be applied with success in the presence of substantial amounts of noise that cause the network to be fed with wrong signals.

  8. Software Defined Networking (SDN) Project

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

    Software Defined Networking (SDN) Project Energy sector-focused SDN flow controller to manage control system networks centrally and securely Background Traditional information technology (IT) approaches to network administration and packet delivery are not always appropriate for electric industry applications. The nondeterministic latency and configuration complexity make network design difficult for the deterministic, static control systems of the energy sector. In the electric industry, it is

  9. Polymer network/carbon layer on monolith support and monolith catalytic reactor

    DOE Patents [OSTI]

    Nordquist, Andrew Francis; Wilhelm, Frederick Carl; Waller, Francis Joseph; Machado, Reinaldo Mario

    2003-08-26

    The present invention relates to an improved monolith catalytic reactor and a monolith support. The improvement in the support resides in a polymer network/carbon coating applied to the surface of a porous substrate and a catalytic metal, preferably a transition metal catalyst applied to the surface of the polymer network/carbon coating. The monolith support has from 100 to 800 cells per square inch and a polymer network/carbon coating with surface area of from 0.1 to 15 m.sup.2 /gram as measured by adsorption of N.sub.2 or Kr using the BET method.

  10. Apply for a Job | Argonne National Laboratory

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

    FAQs Answers to frequently asked questions about applying for a job at Argonne A Note About Privacy We do not ask you for personally identifiable information such as birthdate, social security number, or driver's license number. To ensure your privacy, please do not include such information in the documents that you upload to the system A Note About File Size Our application system has a file size limit of 820KB. While this is sufficient for the vast majority of documents, we have found that

  11. Multiple network interface core apparatus and method

    DOE Patents [OSTI]

    Underwood, Keith D.; Hemmert, Karl Scott

    2011-04-26

    A network interface controller and network interface control method comprising providing a single integrated circuit as a network interface controller and employing a plurality of network interface cores on the single integrated circuit.

  12. 2009 Applied and Environmental Microbiology GRC

    SciTech Connect (OSTI)

    Nicole Dubilier

    2009-07-12

    The topic of the 2009 Gordon Conference on Applied and Environmental Microbiology is: From Single Cells to the Environment. The Conference will present and discuss cutting-edge research on applied and environmental microbiology with a focus on understanding interactions between microorganisms and the environment at levels ranging from single cells to complex communities. The Conference will feature a wide range of topics such as single cell techniques (including genomics, imaging, and NanoSIMS), microbial diversity at scales ranging from clonal to global, environmental 'meta-omics', biodegradation and bioremediation, metal - microbe interactions, animal microbiomes and symbioses. The Conference will bring together investigators who are at the forefront of their field, and will provide opportunities for junior scientists and graduate students to present their work in poster format and exchange ideas with leaders in the field. Some poster presenters will be selected for short talks. The collegial atmosphere of this Conference, with extensive discussion sessions as well as opportunities for informal gatherings in the afternoons and evenings, provides an ideal setting for scientists from different disciplines to exchange ideas, brainstorm and discuss cross-disciplinary collaborations.

  13. Instructions for Using Virtual Private Network (VPN)

    Broader source: Energy.gov [DOE]

    Virtual Private Network (VPN) provides access to network drives and is recommended for use only from a EITS provided laptop.

  14. Better Buildings Network View | February 2015

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  15. Renewable Energy Nongovernmental Organization Network (RENOVE...

    Open Energy Info (EERE)

    Nongovernmental Organization Network (RENOVE) Jump to: navigation, search Name: Renewable Energy Nongovernmental Organization Network (RENOVE) Place: Brasilia, Brazil Phone Number:...

  16. Better Buildings Network View | September 2014

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  17. Better Buildings Network View | June 2014

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  18. Better Buildings Network View | May 2015

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  19. Better Buildings Network View | June 2015

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  20. Better Buildings Network View | October 2014

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  1. Better Buildings Network View | October 2015

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  2. Better Buildings Network View | January 2016

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  3. Better Buildings Network View | February 2016

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  4. Better Buildings Network View | January 2014

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  5. Better Buildings Network View | November 2015

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  6. Better Buildings Network View | May 2014

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  7. Modular sensor network node

    DOE Patents [OSTI]

    Davis, Jesse Harper Zehring; Stark, Jr., Douglas Paul; Kershaw, Christopher Patrick; Kyker, Ronald Dean

    2008-06-10

    A distributed wireless sensor network node is disclosed. The wireless sensor network node includes a plurality of sensor modules coupled to a system bus and configured to sense a parameter. The parameter may be an object, an event or any other parameter. The node collects data representative of the parameter. The node also includes a communication module coupled to the system bus and configured to allow the node to communicate with other nodes. The node also includes a processing module coupled to the system bus and adapted to receive the data from the sensor module and operable to analyze the data. The node also includes a power module connected to the system bus and operable to generate a regulated voltage.

  8. Exploiting Network Parallelism

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

    Exploiting Network Parallelism for Improving Data Transfer Performance Dan Gunter ∗ , Raj Kettimuthu † , Ezra Kissel ‡ , Martin Swany ‡ , Jun Yi § , Jason Zurawski ¶ ∗ Advanced Computing for Science Department, Lawrence Berkeley National Laboratory, Berkeley, CA † Mathematics and Computer Science Division, Argonne National Laboratory Argonne, IL ‡ School of Informatics and Computing, Indiana University, Bloomington, IN § Computation Institute, University of Chicago/Argonne

  9. Experimental Network Testbeds

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

    100G SDN Testbed Dark Fiber Testbed Test Circuit Service Testbed Results Current Testbed Research Previous Testbed Research Performance (perfSONAR) Software & Tools Development Data for Researchers Partnerships Publications Workshops Science Engagement Move your data Programs & Workshops Science Requirements Reviews Case Studies News & Publications ESnet News Publications and Presentations Galleries ESnet Awards and Honors Blog ESnet Live Home » Network R&D » Experimental

  10. Bicriteria network design problems

    SciTech Connect (OSTI)

    Marathe, M.V.; Ravi, R.; Sundaram, R.; Ravi, S.S.; Rosenkrantz, D.J.; Hunt, H.B. III

    1997-11-20

    The authors study a general class of bicriteria network design problems. A generic problem in this class is as follows: Given an undirected graph and two minimization objectives (under different cost functions), with a budget specified on the first, find a subgraph from a given subgraph class that minimizes the second objective subject to the budget on the first. They consider three different criteria -- the total edge cost, the diameter and the maximum degree of the network. Here, they present the first polynomial-time approximation algorithms for a large class of bicriteria network design problems for the above mentioned criteria. The following general types of results are presented. First, they develop a framework for bicriteria problems and their approximations. Second, when the two criteria are the same they present a black box parametric search technique. This black box takes in as input an (approximation) algorithm for the criterion situation and generates an approximation algorithm for the bicriteria case with only a constant factor loss in the performance guarantee. Third, when the two criteria are the diameter and the total edge costs they use a cluster based approach to devise approximation algorithms. The solutions violate both the criteria by a logarithmic factor. Finally, for the class of treewidth-bounded graphs, they provide pseudopolynomial-time algorithms for a number of bicriteria problems using dynamic programming. The authors show how these pseudopolynomial-time algorithms can be converted to fully polynomial-time approximation schemes using a scaling technique.

  11. Insecurity of Wireless Networks

    SciTech Connect (OSTI)

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

    2012-01-01

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

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

    SciTech Connect (OSTI)

    Link, Hamilton E.; LaViolette, Randall A.; Lane, Terran; Saia, Jared

    2005-09-01

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

  13. FY 1990 Applied Sciences Branch annual report

    SciTech Connect (OSTI)

    Keyes, B.M.; Dippo, P.C.

    1991-11-01

    The Applied Sciences Branch actively supports the advancement of DOE/SERI goals for the development and implementation of the solar photovoltaic technology. The primary focus of the laboratories is to provide state-of-the-art analytical capabilities for materials and device characterization and fabrication. The branch houses a comprehensive facility which is capable of providing information on the full range of photovoltaic components. A major objective of the branch is to aggressively pursue collaborative research with other government laboratories, universities, and industrial firms for the advancement of photovoltaic technologies. Members of the branch disseminate research findings to the technical community in publications and presentations. This report contains information on surface and interface analysis, materials characterization, development, electro-optical characterization module testing and performance, surface interactions and FTIR spectroscopy.

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

    SciTech Connect (OSTI)

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

    2014-06-15

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

  15. A New Global River Network Database for Macroscale Hydrologic modeling

    SciTech Connect (OSTI)

    Wu, Huan; Kimball, John S.; Li, Hongyi; Huang, Maoyi; Leung, Lai-Yung R.; Adler, Robert F.

    2012-09-28

    Coarse resolution (upscaled) river networks are critical inputs for runoff routing in macroscale hydrologic models. Recently, Wu et al. (2011) developed a hierarchical Dominant River Tracing (DRT) algorithm for automated extraction and spatial upscaling of basin flow directions and river networks using fine-scale hydrography inputs (e.g., flow direction, river networks, and flow accumulation). The DRT was initially applied using HYDRO1K baseline fine-scale hydrography inputs and the resulting upscaled global hydrography maps were produced at several spatial scales, and verified against other available regional and global datasets. New baseline fine-scale hydrography data from HydroSHEDS are now available for many regions and provide superior scale and quality relative to HYDRO1K. However, HydroSHEDS does not cover regions above 60°N. In this study, we applied the DRT algorithms using combined HydroSHEDS and HYDRO1K global fine-scale hydrography inputs, and produced a new series of upscaled global river network data at multiple (1/16° to 2°) spatial resolutions in a consistent (WGS84) projection. The new upscaled river networks are internally consistent and congruent with the baseline fine-scale inputs. The DRT results preserve baseline fine-scale river networks independent of spatial scales, with consistency in river network, basin shape, basin area, river length, and basin internal drainage structure between upscaled and baseline fine-scale hydrography. These digital data are available online for public access (ftp://ftp.ntsg.umt.edu/pub/data/DRT/) and should facilitate improved regional to global scale hydrological simulations, including runoff routing and river discharge calculations.

  16. On the stability of surface-confined nanoporous molecular networks

    SciTech Connect (OSTI)

    Ghijsens, Elke; Adisoejoso, Jinne E-mail: tobe@chem.es.osaka-u.ac.jp Van Gorp, Hans; Destoop, Iris; Ivasenko, Oleksandr; Van der Auweraer, Mark; De Feyter, Steven E-mail: tobe@chem.es.osaka-u.ac.jp; Noguchi, Aya; Tahara, Kazukuni; Tobe, Yoshito E-mail: tobe@chem.es.osaka-u.ac.jp

    2015-03-14

    Self-assembly of molecular building blocks into two-dimensional nanoporous networks has been a topic of broad interest for many years. However, various factors govern the specific outcome of the self-assembly process, and understanding and controlling these are key to successful creation. In this work, the self-assembly of two alkylated dehydrobenzo[12]annulene building blocks was compared at the liquid-solid interface. It turned out that only a small chemical modification within the building blocks resulted in enhanced domain sizes and stability of the porous packing relative to the dense linear packing. Applying a thermodynamic model for phase transition revealed some key aspects for network formation.

  17. The Applied Mathematics for Power Systems (AMPS) (Technical Report...

    Office of Scientific and Technical Information (OSTI)

    in rigorous algorithms and simulation toolboxes for modern and future engineered networks. ... Country of Publication: United States Language: English Subject: 24 POWER TRANSMISSION AND ...

  18. Energy Department Extends Deadline to Apply for START Tribal...

    Energy Savers [EERE]

    Extends Deadline to Apply for START Tribal Renewable Energy Project Development Assistance to May 22, 2015 Energy Department Extends Deadline to Apply for START Tribal Renewable...

  19. An exact general remeshing scheme applied to physically conservative...

    Office of Scientific and Technical Information (OSTI)

    Published Article: An exact general remeshing scheme applied to physically conservative voxelization Title: An exact general remeshing scheme applied to physically conservative ...

  20. Identifying a cooperative control mechanism between an applied...

    Office of Scientific and Technical Information (OSTI)

    Identifying a cooperative control mechanism between an applied field and the environment ... Title: Identifying a cooperative control mechanism between an applied field and the ...

  1. Building America Webinar: Opportunities to Apply Phase Change...

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

    to Apply Phase Change Materials to Building Enclosures Building America Webinar: Opportunities to Apply Phase Change Materials to Building Enclosures This webinar, presented by ...

  2. Large Eddy Simulation (LES) Applied to Advanced Engine Combustion...

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

    Large Eddy Simulation (LES) Applied to Advanced Engine Combustion Research Large Eddy Simulation (LES) Applied to Low-Temperature and Diesel Engine Combustion Research Vehicle ...

  3. Applying physics, teamwork to fusion energy science | Princeton Plasma

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

    Physics Lab Applying physics, teamwork to fusion energy science American Fusion News Category: Massachusetts Institute of Technology (MIT) Link: Applying physics, teamwork to fusion energy science

  4. Statistical and Domain Analytics Applied to PV Module Lifetime...

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

    Statistical and Domain Analytics Applied to PV Module Lifetime and Degradation Science Statistical and Domain Analytics Applied to PV Module Lifetime and Degradation Science ...

  5. James Webb Space Telescope: PM Lessons Applied - Eric Smith,...

    Energy Savers [EERE]

    James Webb Space Telescope: PM Lessons Applied - Eric Smith, Deputy Program Director, NASA James Webb Space Telescope: PM Lessons Applied - Eric Smith, Deputy Program Director,...

  6. ADR LUNCHTIME PROGRAM: "Crisis Negotiation: Apply the Skills...

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

    Apply the Skills Used By Law Enforcement In Resolving Conflict Situations" ADR LUNCHTIME PROGRAM: "Crisis Negotiation: Apply the Skills Used By Law Enforcement In Resolving ...

  7. Artificial intelligence technologies applied to terrain analysis

    SciTech Connect (OSTI)

    Wright, J.C. ); Powell, D.R. )

    1990-01-01

    The US Army Training and Doctrine Command is currently developing, in cooperation with Los Alamos National Laboratory, a Corps level combat simulation to support military analytical studies. This model emphasizes high resolution modeling of the command and control processes, with particular attention to architectural considerations that enable extension of the model. A planned future extension is the inclusion of an computer based planning capability for command echelons that can be dynamical invoked during the execution of then model. Command and control is the process through which the activities of military forces are directed, coordinated, and controlled to achieve the stated mission. To perform command and control the commander must understand the mission, perform terrain analysis, understand his own situation and capabilities as well as the enemy situation and his probable actions. To support computer based planning, data structures must be available to support the computer's ability to understand'' the mission, terrain, own capabilities, and enemy situation. The availability of digitized terrain makes it feasible to apply artificial intelligence technologies to emulate the terrain analysis process, producing data structures for uses in planning. The work derived thus for to support the understanding of terrain is the topic of this paper. 13 refs., 5 figs., 6 tabs.

  8. Image processing applied to laser cladding process

    SciTech Connect (OSTI)

    Meriaudeau, F.; Truchetet, F.

    1996-12-31

    The laser cladding process, which consists of adding a melt powder to a substrate in order to improve or change the behavior of the material against corrosion, fatigue and so on, involves a lot of parameters. In order to perform good tracks some parameters need to be controlled during the process. The authors present here a low cost performance system using two CCD matrix cameras. One camera provides surface temperature measurements while the other gives information relative to the powder distribution or geometric characteristics of the tracks. The surface temperature (thanks to Beer Lambert`s law) enables one to detect variations in the mass feed rate. Using such a system the authors are able to detect fluctuation of 2 to 3g/min in the mass flow rate. The other camera gives them information related to the powder distribution, a simple algorithm applied to the data acquired from the CCD matrix camera allows them to see very weak fluctuations within both gaz flux (carriage or protection gaz). During the process, this camera is also used to perform geometric measurements. The height and the width of the track are obtained in real time and enable the operator to find information related to the process parameters such as the speed processing, the mass flow rate. The authors display the result provided by their system in order to enhance the efficiency of the laser cladding process. The conclusion is dedicated to a summary of the presented works and the expectations for the future.

  9. Hanford Waste Vitrification Plant applied technology plan

    SciTech Connect (OSTI)

    Kruger, O.L.

    1990-09-01

    This Applied Technology Plan describes the process development, verification testing, equipment adaptation, and waste form qualification technical issues and plans for resolution to support the design, permitting, and operation of the Hanford Waste Vitrification Plant. The scope of this Plan includes work to be performed by the research and development contractor, Pacific Northwest Laboratory, other organizations within Westinghouse Hanford Company, universities and companies with glass technology expertise, and other US Department of Energy sites. All work described in this Plan is funded by the Hanford Waste Vitrification Plant Project and the relationship of this Plan to other waste management documents and issues is provided for background information. Work to performed under this Plan is divided into major areas that establish a reference process, develop an acceptable glass composition envelope, and demonstrate feed processing and glass production for the range of Hanford Waste Vitrification Plant feeds. Included in this work is the evaluation and verification testing of equipment and technology obtained from the Defense Waste Processing Facility, the West Valley Demonstration Project, foreign countries, and the Hanford Site. Development and verification of product and process models and other data needed for waste form qualification documentation are also included in this Plan. 21 refs., 4 figs., 33 tabs.

  10. Operating Innovative Networks Workshop Series

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

    Operating Innovative Networks Workshop Series Science Engagement Move your data Programs & Workshops CrossConnects Workshop Series Operating Innovative Networks Workshop Series Enlighten Your Research Global Program Science Requirements Reviews Case Studies Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638 (Inside US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net Operating Innovative

  11. Neural Networks for Modeling and Control of Particle Accelerators

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

    Edelen, A. L.; Biedron, S. G.; Chase, B. E.; Edstrom, D.; Milton, S. V.; Stabile, P.

    2016-04-01

    Myriad nonlinear and complex physical phenomena are host to particle accelerators. They often involve a multitude of interacting systems, are subject to tight performance demands, and should be able to run for extended periods of time with minimal interruptions. Often times, traditional control techniques cannot fully meet these requirements. One promising avenue is to introduce machine learning and sophisticated control techniques inspired by artificial intelligence, particularly in light of recent theoretical and practical advances in these fields. Within machine learning and artificial intelligence, neural networks are particularly well-suited to modeling, control, and diagnostic analysis of complex, nonlinear, and time-varying systems,more » as well as systems with large parameter spaces. Consequently, the use of neural network-based modeling and control techniques could be of significant benefit to particle accelerators. For the same reasons, particle accelerators are also ideal test-beds for these techniques. Moreover, many early attempts to apply neural networks to particle accelerators yielded mixed results due to the relative immaturity of the technology for such tasks. For the purpose of this paper is to re-introduce neural networks to the particle accelerator community and report on some work in neural network control that is being conducted as part of a dedicated collaboration between Fermilab and Colorado State University (CSU). We also describe some of the challenges of particle accelerator control, highlight recent advances in neural network techniques, discuss some promising avenues for incorporating neural networks into particle accelerator control systems, and describe a neural network-based control system that is being developed for resonance control of an RF electron gun at the Fermilab Accelerator Science and Technology (FAST) facility, including initial experimental results from a benchmark controller.« less

  12. United States National Seismographic Network

    SciTech Connect (OSTI)

    Buland, R.

    1993-09-01

    The concept of a United States National Seismograph Network (USNSN) dates back nearly 30 years. The idea was revived several times over the decades. but never funded. For, example, a national network was proposed and discussed at great length in the so called Bolt Report (U. S. Earthquake Observatories: Recommendations for a New National Network, National Academy Press, Washington, D.C., 1980, 122 pp). From the beginning, a national network was viewed as augmenting and complementing the relatively dense, predominantly short-period vertical coverage of selected areas provided by the Regional Seismograph Networks (RSN`s) with a sparse, well-distributed network of three-component, observatory quality, permanent stations. The opportunity finally to begin developing a national network arose in 1986 with discussions between the US Geological Survey (USGS) and the Nuclear Regulatory Commission (NRC). Under the agreement signed in 1987, the NRC has provided $5 M in new funding for capital equipment (over the period 1987-1992) and the USGS has provided personnel and facilities to develop. deploy, and operate the network. Because the NRC funding was earmarked for the eastern United States, new USNSN station deployments are mostly east of 105{degree}W longitude while the network in the western United States is mostly made up of cooperating stations (stations meeting USNSN design goals, but deployed and operated by other institutions which provide a logical extension to the USNSN).

  13. Regional Networks for Energy Efficiency

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Sustainability Peer Exchange Call: Regional Networks for Energy Efficiency, call slides and discussion summary, December 6, 2012.

  14. Network interdiction with budget constraints

    SciTech Connect (OSTI)

    Santhi, Nankakishore; Pan, Feng

    2009-01-01

    Several scenarios exist in the modern interconnected world which call for efficient network interdiction algorithms. Applications are varied, including computer network security, prevention of spreading of Internet worms, policing international smuggling networks, controlling spread of diseases and optimizing the operation of large public energy grids. In this paper we consider some natural network optimization questions related to the budget constrained interdiction problem over general graphs. Many of these questions turn out to be computationally hard to tackle. We present a particularly interesting practical form of the interdiction question which we show to be computationally tractable. A polynomial time algorithm is then presented for this problem.

  15. Patterns and perspectives in applied fracture mechanics

    SciTech Connect (OSTI)

    Merkle, J.G.

    1994-12-31

    This lecture begins with a overview of applied fracture mechanics pertinent to safety of pressure vessels. It then progresses to a chronological panorama of experimental and analytical results. To be useful and dependable in safety analysis of real structures, new analysis developments must be physically realistic, which means that they must accurately describe physical cause and effect. Consequently, before mathematical modeling can begin, cause and effect must be established from experimental data. This can be difficult and time consuming, but worth the effort. Accordingly, the theme of this paper is that the search for patterns is constant and vital. This theme is illustrated by the development of small, single-specimen, fracture toughness testing techniques. It is also illustrated by the development, based on two different published large-strain, elastic-plastic, three-dimensional finite-element analyses, of a hypothesis concerning three-dimensional loss of constraint. When a generalization of Irwin`s thickness-normalized plastic-zone parameter, reaches a value close to 2{pi}, the through-thickness contraction strain at the apex of the near-tip logarithmic-spiral slip-line region becomes the dominant negative strain accommodating crack opening. Because slip lines passing from the midplane to the stress-free side surfaces do not have to curve, once these slip lines are established, stresses near the crack tip are only elevated by strain hardening and constraint becomes significantly relaxed. This hypothesis, based on published three-dimensional elastic-plastic analyses, provides a potentially valuable means for gaining additional insight into constraint effects on fracture toughness by considering the roles played by the plastic strains as well as the stresses that develop near a crack tip.

  16. Vector Network Analysis

    Energy Science and Technology Software Center (OSTI)

    1997-10-20

    Vector network analyzers are a convenient way to measure scattering parameters of a variety of microwave devices. However, these instruments, unlike oscilloscopes for example, require a relatively high degree of user knowledge and expertise. Due to the complexity of the instrument and of the calibration process, there are many ways in which an incorrect measurement may be produced. The Microwave Project, which is part of Sandia National Laboratories Primary Standards Laboratory, routinely uses check standardsmore » to verify that the network analyzer is operating properly. In the past, these measurements were recorded manually and, sometimes, interpretation of the results was problematic. To aid our measurement assurance process, a software program was developed to automatically measure a check standard and compare the new measurements with an historical database of measurements of the same device. The program acquires new measurement data from selected check standards, plots the new data against the mean and standard deviation of prior data for the same check standard, and updates the database files for the check standard. The program is entirely menu-driven requiring little additional work by the user.« less

  17. High Performance Network Monitoring

    SciTech Connect (OSTI)

    Martinez, Jesse E

    2012-08-10

    Network Monitoring requires a substantial use of data and error analysis to overcome issues with clusters. Zenoss and Splunk help to monitor system log messages that are reporting issues about the clusters to monitoring services. Infiniband infrastructure on a number of clusters upgraded to ibmon2. ibmon2 requires different filters to report errors to system administrators. Focus for this summer is to: (1) Implement ibmon2 filters on monitoring boxes to report system errors to system administrators using Zenoss and Splunk; (2) Modify and improve scripts for monitoring and administrative usage; (3) Learn more about networks including services and maintenance for high performance computing systems; and (4) Gain a life experience working with professionals under real world situations. Filters were created to account for clusters running ibmon2 v1.0.0-1 10 Filters currently implemented for ibmon2 using Python. Filters look for threshold of port counters. Over certain counts, filters report errors to on-call system administrators and modifies grid to show local host with issue.

  18. Using a neural network for abnormal event identification in BWRs

    SciTech Connect (OSTI)

    Ohga, Yukiharu; Seki, Hiroshi (Hitachi Ltd., Ibaraki (Japan))

    1991-01-01

    Information on anomalies such as abnormal events is considered to be important for operation support when choosing information to be offered to operators. The authors have applied neural network techniques to identify an abnormal event that causes a reactor scram in boiling water reactors. A primary feature of the method is that the result of the neural network is confirmed using the knowledge base on plant status when each event occurs. This improves the result's reliability. A second feature is that the neural network uses analog data such as reactor pressure, the acquisition of which is triggered by the scram signal. The event identification method is shown. The event identification method is tested using a workstation.

  19. Network Bandwidth Utilization Forecast Model on High Bandwidth Network

    SciTech Connect (OSTI)

    Yoo, Wucherl; Sim, Alex

    2014-07-07

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

  20. Network Upgrade for the SLC: PEP II Network

    SciTech Connect (OSTI)

    Crane, M.; Call, M.; Clark, S.; Coffman, F.; Himel, T.; Lahey, T.; Miller, E.; Sass, R.; /SLAC

    2011-09-09

    The PEP-II control system required a new network to support the system functions. This network, called CTLnet, is an FDDI/Ethernet based network using only TCP/IP protocols. An upgrade of the SLC Control System micro communications to use TCP/IP and SLCNET would allow all PEP-II control system nodes to use TCP/IP. CTLnet is private and separate from the SLAC public network. Access to nodes and control system functions is provided by multi-homed application servers with connections to both the private CTLnet and the SLAC public network. Monitoring and diagnostics are provided using a dedicated system. Future plans and current status information is included.

  1. Converging Redundant Sensor Network Information for Improved Building Control

    SciTech Connect (OSTI)

    Dale K. Tiller; Gregor P. Henze

    2005-12-01

    This project is investigating the development and application of sensor networks to enhance building energy management and security. Commercial, industrial and residential buildings often incorporate systems used to determine occupancy, but current sensor technology and control algorithms limit the effectiveness of these systems. For example, most of these systems rely on single monitoring points to detect occupancy, when more than one monitoring point would improve system performance. Phase I of the project focused on instrumentation and data collection. In Phase I, a new occupancy detection system was developed, commissioned and installed in a sample of private offices and open-plan office workstations. Data acquisition systems were developed and deployed to collect data on space occupancy profiles. In phase II of the project, described in this report, we demonstrate that a network of several sensors provides a more accurate measure of occupancy than is possible using systems based on single monitoring points. We also establish that analysis algorithms can be applied to the sensor network data stream to improve the accuracy of system performance in energy management and security applications, and show that it may be possible to use sensor network pulse rate to distinguish the number of occupants in a space. Finally, in this phase of the project we also developed a prototype web-based display that portrays the current status of each detector in a sensor network monitoring building occupancy. This basic capability will be extended in the future by applying an algorithm-based inference to the sensor network data stream, so that the web page displays the likelihood that each monitored office or area is occupied, as a supplement to the actual status of each sensor.

  2. Converging Redundant Sensor Network Information for Improved Building Control

    SciTech Connect (OSTI)

    Dale Tiller; D. Phil; Gregor Henze; Xin Guo

    2007-09-30

    This project investigated the development and application of sensor networks to enhance building energy management and security. Commercial, industrial and residential buildings often incorporate systems used to determine occupancy, but current sensor technology and control algorithms limit the effectiveness of these systems. For example, most of these systems rely on single monitoring points to detect occupancy, when more than one monitoring point could improve system performance. Phase I of the project focused on instrumentation and data collection. During the initial project phase, a new occupancy detection system was developed, commissioned and installed in a sample of private offices and open-plan office workstations. Data acquisition systems were developed and deployed to collect data on space occupancy profiles. Phase II of the project demonstrated that a network of several sensors provides a more accurate measure of occupancy than is possible using systems based on single monitoring points. This phase also established that analysis algorithms could be applied to the sensor network data stream to improve the accuracy of system performance in energy management and security applications. In Phase III of the project, the sensor network from Phase I was complemented by a control strategy developed based on the results from the first two project phases: this controller was implemented in a small sample of work areas, and applied to lighting control. Two additional technologies were developed in the course of completing the project. A prototype web-based display that portrays the current status of each detector in a sensor network monitoring building occupancy was designed and implemented. A new capability that enables occupancy sensors in a sensor network to dynamically set the 'time delay' interval based on ongoing occupant behavior in the space was also designed and implemented.

  3. Better Buildings Network View | February 2015 | Department of...

    Office of Environmental Management (EM)

    newsletter from the U.S. Department of Energy's Better Buildings Residential Network. ... Better Buildings Network View | June 2015 Nothing But Networking for Residential Network ...

  4. Wellbore Integrity Network

    SciTech Connect (OSTI)

    Carey, James W.; Bachu, Stefan

    2012-06-21

    In this presentation, we review the current state of knowledge on wellbore integrity as developed in the IEA Greenhouse Gas Programme's Wellbore Integrity Network. Wells are one of the primary risks to the successful implementation of CO{sub 2} storage programs. Experimental studies show that wellbore materials react with CO{sub 2} (carbonation of cement and corrosion of steel) but the impact on zonal isolation is unclear. Field studies of wells in CO{sub 2}-bearing fields show that CO{sub 2} does migrate external to casing. However, rates and amounts of CO{sub 2} have not been quantified. At the decade time scale, wellbore integrity is driven by construction quality and geomechanical processes. Over longer time-scales (> 100 years), chemical processes (cement degradation and corrosion) become more important, but competing geomechanical processes may preserve wellbore integrity.

  5. Distributed downhole drilling network

    DOE Patents [OSTI]

    Hall, David R.; Hall, Jr., H. Tracy; Fox, Joe; Pixton, David S.

    2006-11-21

    A high-speed downhole network providing real-time data from downhole components of a drilling strings includes a bottom-hole node interfacing to a bottom-hole assembly located proximate the bottom end of a drill string. A top-hole node is connected proximate the top end of the drill string. One or several intermediate nodes are located along the drill string between the bottom-hole node and the top-hole node. The intermediate nodes are configured to receive and transmit data packets transmitted between the bottom-hole node and the top-hole node. A communications link, integrated into the drill string, is used to operably connect the bottom-hole node, the intermediate nodes, and the top-hole node. In selected embodiments, a personal or other computer may be connected to the top-hole node, to analyze data received from the intermediate and bottom-hole nodes.

  6. RNEDE: Resilient Network Design Environment

    SciTech Connect (OSTI)

    Venkat Venkatasubramanian, Tanu Malik, Arun Giridh; Craig Rieger; Keith Daum; Miles McQueen

    2010-08-01

    Modern living is more and more dependent on the intricate web of critical infrastructure systems. The failure or damage of such systems can cause huge disruptions. Traditional design of this web of critical infrastructure systems was based on the principles of functionality and reliability. However, it is increasingly being realized that such design objectives are not sufficient. Threats, disruptions and faults often compromise the network, taking away the benefits of an efficient and reliable design. Thus, traditional network design parameters must be combined with self-healing mechanisms to obtain a resilient design of the network. In this paper, we present RNEDEa resilient network design environment that that not only optimizes the network for performance but tolerates fluctuations in its structure that result from external threats and disruptions. The environment evaluates a set of remedial actions to bring a compromised network to an optimal level of functionality. The environment includes a visualizer that enables the network administrator to be aware of the current state of the network and the suggested remedial actions at all times.

  7. Global interrupt and barrier networks

    DOE Patents [OSTI]

    Blumrich, Matthias A.; Chen, Dong; Coteus, Paul W.; Gara, Alan G.; Giampapa, Mark E; Heidelberger, Philip; Kopcsay, Gerard V.; Steinmacher-Burow, Burkhard D.; Takken, Todd E.

    2008-10-28

    A system and method for generating global asynchronous signals in a computing structure. Particularly, a global interrupt and barrier network is implemented that implements logic for generating global interrupt and barrier signals for controlling global asynchronous operations performed by processing elements at selected processing nodes of a computing structure in accordance with a processing algorithm; and includes the physical interconnecting of the processing nodes for communicating the global interrupt and barrier signals to the elements via low-latency paths. The global asynchronous signals respectively initiate interrupt and barrier operations at the processing nodes at times selected for optimizing performance of the processing algorithms. In one embodiment, the global interrupt and barrier network is implemented in a scalable, massively parallel supercomputing device structure comprising a plurality of processing nodes interconnected by multiple independent networks, with each node including one or more processing elements for performing computation or communication activity as required when performing parallel algorithm operations. One multiple independent network includes a global tree network for enabling high-speed global tree communications among global tree network nodes or sub-trees thereof. The global interrupt and barrier network may operate in parallel with the global tree network for providing global asynchronous sideband signals.

  8. Network Information System

    Energy Science and Technology Software Center (OSTI)

    1996-05-01

    The Network Information System (NWIS) was initially implemented in May 1996 as a system in which computing devices could be recorded so that unique names could be generated for each device. Since then the system has grown to be an enterprise wide information system which is integrated with other systems to provide the seamless flow of data through the enterprise. The system Iracks data for two main entities: people and computing devices. The following aremore » the type of functions performed by NWIS for these two entities: People Provides source information to the enterprise person data repository for select contractors and visitors Generates and tracks unique usernames and Unix user IDs for every individual granted cyber access Tracks accounts for centrally managed computing resources, and monitors and controls the reauthorization of the accounts in accordance with the DOE mandated interval Computing Devices Generates unique names for all computing devices registered in the system Tracks the following information for each computing device: manufacturer, make, model, Sandia property number, vendor serial number, operating system and operating system version, owner, device location, amount of memory, amount of disk space, and level of support provided for the machine Tracks the hardware address for network cards Tracks the P address registered to computing devices along with the canonical and alias names for each address Updates the Dynamic Domain Name Service (DDNS) for canonical and alias names Creates the configuration files for DHCP to control the DHCP ranges and allow access to only properly registered computers Tracks and monitors classified security plans for stand-alone computers Tracks the configuration requirements used to setup the machine Tracks the roles people have on machines (system administrator, administrative access, user, etc...) Allows systems administrators to track changes made on the machine (both hardware and software) Generates an

  9. Network Information System

    SciTech Connect (OSTI)

    1996-05-01

    The Network Information System (NWIS) was initially implemented in May 1996 as a system in which computing devices could be recorded so that unique names could be generated for each device. Since then the system has grown to be an enterprise wide information system which is integrated with other systems to provide the seamless flow of data through the enterprise. The system Iracks data for two main entities: people and computing devices. The following are the type of functions performed by NWIS for these two entities: People Provides source information to the enterprise person data repository for select contractors and visitors Generates and tracks unique usernames and Unix user IDs for every individual granted cyber access Tracks accounts for centrally managed computing resources, and monitors and controls the reauthorization of the accounts in accordance with the DOE mandated interval Computing Devices Generates unique names for all computing devices registered in the system Tracks the following information for each computing device: manufacturer, make, model, Sandia property number, vendor serial number, operating system and operating system version, owner, device location, amount of memory, amount of disk space, and level of support provided for the machine Tracks the hardware address for network cards Tracks the P address registered to computing devices along with the canonical and alias names for each address Updates the Dynamic Domain Name Service (DDNS) for canonical and alias names Creates the configuration files for DHCP to control the DHCP ranges and allow access to only properly registered computers Tracks and monitors classified security plans for stand-alone computers Tracks the configuration requirements used to setup the machine Tracks the roles people have on machines (system administrator, administrative access, user, etc...) Allows systems administrators to track changes made on the machine (both hardware and software) Generates an adjustment

  10. Collective network for computer structures

    DOE Patents [OSTI]

    Blumrich, Matthias A; Coteus, Paul W; Chen, Dong; Gara, Alan; Giampapa, Mark E; Heidelberger, Philip; Hoenicke, Dirk; Takken, Todd E; Steinmacher-Burow, Burkhard D; Vranas, Pavlos M

    2014-01-07

    A system and method for enabling high-speed, low-latency global collective communications among interconnected processing nodes. The global collective network optimally enables collective reduction operations to be performed during parallel algorithm operations executing in a computer structure having a plurality of the interconnected processing nodes. Router devices are included that interconnect the nodes of the network via links to facilitate performance of low-latency global processing operations at nodes of the virtual network. The global collective network may be configured to provide global barrier and interrupt functionality in asynchronous or synchronized manner. When implemented in a massively-parallel supercomputing structure, the global collective network is physically and logically partitionable according to the needs of a processing algorithm.

  11. Collective network for computer structures

    DOE Patents [OSTI]

    Blumrich, Matthias A.; Coteus, Paul W.; Chen, Dong; Gara, Alan; Giampapa, Mark E.; Heidelberger, Philip; Hoenicke, Dirk; Takken, Todd E.; Steinmacher-Burow, Burkhard D.; Vranas, Pavlos M.

    2011-08-16

    A system and method for enabling high-speed, low-latency global collective communications among interconnected processing nodes. The global collective network optimally enables collective reduction operations to be performed during parallel algorithm operations executing in a computer structure having a plurality of the interconnected processing nodes. Router devices ate included that interconnect the nodes of the network via links to facilitate performance of low-latency global processing operations at nodes of the virtual network and class structures. The global collective network may be configured to provide global barrier and interrupt functionality in asynchronous or synchronized manner. When implemented in a massively-parallel supercomputing structure, the global collective network is physically and logically partitionable according to needs of a processing algorithm.

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

    SciTech Connect (OSTI)

    Martin Swany

    2012-06-16

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

  13. CX-001012: Categorical Exclusion Determination | Department of Energy

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

    12: Categorical Exclusion Determination CX-001012: Categorical Exclusion Determination Energy Efficiency of Data Networks through Rate Adaptation CX(s) Applied: A9, B3.6 Date: 03/02/2010 Location(s): New Jersey Office(s): Energy Efficiency and Renewable Energy, Golden Field Office Alcatel-Lucent USA is proposing to use American Recovery and Reinvestment Act funding through the Department of Energy to investigate and develop novel approaches to the design, management, and programming of

  14. CX-011125: Categorical Exclusion Determination | Department of Energy

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

    5: Categorical Exclusion Determination CX-011125: Categorical Exclusion Determination A New Generation of Building Insulation by Foaming Polymer Blend Materials with Carbon Dioxide CX(s) Applied: A9, B3.6 Date: 08/29/2013 Location(s): Pennsylvania Offices(s): Golden Field Office The U.S. Department of Energy (DOE) is proposing to provide federal funding to Industrial Science & Technology Network, Inc. to research and develop an environmentally friendlier building insulation material with

  15. Method and tool for network vulnerability analysis

    DOE Patents [OSTI]

    Swiler, Laura Painton; Phillips, Cynthia A.

    2006-03-14

    A computer system analysis tool and method that will allow for qualitative and quantitative assessment of security attributes and vulnerabilities in systems including computer networks. The invention is based on generation of attack graphs wherein each node represents a possible attack state and each edge represents a change in state caused by a single action taken by an attacker or unwitting assistant. Edges are weighted using metrics such as attacker effort, likelihood of attack success, or time to succeed. Generation of an attack graph is accomplished by matching information about attack requirements (specified in "attack templates") to information about computer system configuration (contained in a configuration file that can be updated to reflect system changes occurring during the course of an attack) and assumed attacker capabilities (reflected in "attacker profiles"). High risk attack paths, which correspond to those considered suited to application of attack countermeasures given limited resources for applying countermeasures, are identified by finding "epsilon optimal paths."

  16. Residential Energy Services Network (RESNET) Conference | Department...

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

    Residential Energy Services Network (RESNET) Conference Residential Energy Services Network (RESNET) Conference February 29, 2016 9:00AM EST to March 2, 2016 5:0

  17. Better Buildings Network View, April 2015

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

    ... Laboratory) announcement emails sent to Residential Network members or via the Residential Network Group on Home Energy Pros. To receive emails about upcoming calls, contact ...

  18. Better Buildings Network View, July 2014

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

    ... summaries through announcement emails sent to Residential Network members or via the Residential Network Group on Home Energy Pros. To receive emails about upcoming calls email ...

  19. Networks, smart grids: new model for synchronization

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

    Networks, smart grids: new model for synchronization Networks, smart grids: new model for synchronization Researchers developed a surprisingly simple mathematical model that ...

  20. Indigenous Environmental Network | Open Energy Information

    Open Energy Info (EERE)

    Indigenous Environmental Network Name: Indigenous Environmental Network Address: PO Box 485 Place: Bemidji, MN Year Founded: 1990 Phone Number: (218) 751-4967 Website:...

  1. Silver Spring Networks Inc | Open Energy Information

    Open Energy Info (EERE)

    Spring Networks Inc Jump to: navigation, search Name: Silver Spring Networks Inc Place: Redwood City, California Zip: 94063 Product: California-based, developer of utility...

  2. Creative Environmental Networks | Open Energy Information

    Open Energy Info (EERE)

    Environmental Networks Jump to: navigation, search Name: Creative Environmental Networks Place: United Kingdom Zip: CR7 7JG Sector: Biomass, Renewable Energy, Services Product:...

  3. Better Buildings Residential Network Membership Form | Department...

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

    of Energy's Better Buildings Residential Network. BBRN Membership Form (138.55 KB) More Documents & Publications Better Buildings Residential Network Orientation Fact Sheet: ...

  4. Better Buildings Residential Network Program Sustainability Peer...

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

    11, 2014 Better Buildings Residential Network Better Buildings Residential Network: Connects energy efficiency programs and partners to share best practices to increase the ...

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

    Energy Savers [EERE]

    Better Buildings Residential Network Case Study: Partnerships Better Buildings Residential Network Case Study: Partnerships, from the U.S. Department of Energy's Office of Energy ...

  6. Better Buildings Residential Network Orientation Webinar | Department...

    Energy Savers [EERE]

    September 11, 2014. Call Slides and Discussion Summary (2.44 MB) More Documents & Publications Better Buildings Residential Network Orientation Better Buildings Residential Network ...

  7. Better Buildings Residential Network Orientation Webinar, Call...

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

    BBNP Grantee Sectors 9 BBNP Accomplishments 10 Better Buildings Residential Network Better Buildings Residential Network: Connects energy efficiency programs and partners to ...

  8. Better Buildings Residential Network Orientation | Department...

    Energy Savers [EERE]

    Orientation Better Buildings Residential Network Orientation Better Buildings Residential Network (BBRN) Orientation Call Slides and Summary, March 27, 2014. Call Slides and ...

  9. Better Buildings Residential Network | Department of Energy

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

    Better Buildings Residential Network Better Buildings Residential Network Explore Peer ... programs can implement and leverage to quickly show energy and utility dollar savings. ...

  10. Better Buildings Network View December 2015

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

    News From the Field New Case Study Highlights Network Member's Community Engagement Better Buildings Residential Network member Community Home Energy Retrofit Project (CHERP) is a ...

  11. Better Buildings Residential Network (BBRN) Orientation Call...

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

    ... 11 Better Buildings Residential Network (BBRN) Better Buildings Residential Network: Connects energy efficiency programs and partners to share best practices to increase the ...

  12. Better Buildings Residential Network Social Media Toolkit

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

    Social Media Toolkit BETTER BUILDINGS RESIDENTIAL NETWORK Learn more at betterbuildings.energy.govbbrn 1 T his Better Buildings Residential Network toolkit can be used to help ...

  13. Structure Learning in Power Distribution Networks (Technical...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Structure Learning in Power Distribution Networks Citation Details In-Document Search Title: Structure Learning in Power Distribution Networks Authors: Deka, ...

  14. Grencubator. Ukrainian energy innovation network | Open Energy...

    Open Energy Info (EERE)

    Grencubator. Ukrainian energy innovation network Jump to: navigation, search Name: Greencubator. Ukrainian energy innovation network Place: Kyiv, Ukraine Number of Employees: 1-10...

  15. Structure Learning in Power Distribution Networks (Technical...

    Office of Scientific and Technical Information (OSTI)

    Structure Learning in Power Distribution Networks Citation Details In-Document Search Title: Structure Learning in Power Distribution Networks You are accessing a document from ...

  16. Clean Economy Network | Open Energy Information

    Open Energy Info (EERE)

    Network Jump to: navigation, search Name: Clean Economy Network Place: Washington, Washington, DC Zip: 20004 Product: Washingt (DC-based advocacy group focused on clean energy and...

  17. EA-1964: National Ecological Observation Network (NEON)

    Broader source: Energy.gov [DOE]

    The National Science Foundation (NSF) prepared an EA that evaluated potential environmental impacts of the proposed National Ecological Observation Network (NEON), a continental-scale network of...

  18. Rural Innovations Network | Open Energy Information

    Open Energy Info (EERE)

    Network Jump to: navigation, search Name: Rural Innovations Network Place: India Sector: Services Product: General Financial & Legal Services ( Charity Non-profit Association...

  19. DOE - Office of Legacy Management -- Case School of Applied Science...

    Office of Legacy Management (LM)

    Case School of Applied Science Ohio State University - OH 0-01 Site ID (CSD Index Number): OH.0-01 Site Name: Case School of Applied Science, Ohio State University Site Summary: Site ...

  20. Kerry Vahala: Jenkins Professor and Professor of Applied Physics...

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

    Applied Physics, California Institute of Technology Nov 6, 2013 | 4:00 PM - 5:00 PM Kerry Vahala Jenkins Professor and Professor of Applied Physics, California Institute of ...

  1. Oregon Learning About and Applying for Water Rights Webpage ...

    Open Energy Info (EERE)

    Learning About and Applying for Water Rights Webpage Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Oregon Learning About and Applying for Water...

  2. Towards A Network-of-Networks Framework for Cyber Security

    SciTech Connect (OSTI)

    Halappanavar, Mahantesh; Choudhury, Sutanay; Hogan, Emilie A.; Hui, Peter SY; Johnson, John R.; Ray, Indrajit; Holder, Lawrence B.

    2013-06-07

    Networks-of-networks (NoN) is a graph-theoretic model of interdependent networks that have distinct dynamics at each network (layer). By adding special edges to represent relationships between nodes in different layers, NoN provides a unified mechanism to study interdependent systems intertwined in a complex relationship. While NoN based models have been proposed for cyber-physical systems, in this paper we build towards a three-layer NoN model for an enterprise cyber system. Each layer captures a different facet of a cyber system. We then discuss the potential benefits of graph-theoretic analysis enabled from such a model. Our goal is to provide a novel and powerful tool for modeling and analyzing problems in cyber security.

  3. Variable-Width Datapath for On-Chip Network Static Power Reduction

    SciTech Connect (OSTI)

    Michelogiannakis, George; Shalf, John

    2013-11-13

    With the tight power budgets in modern large-scale chips and the unpredictability of application traffic, on-chip network designers are faced with the dilemma of designing for worst- case bandwidth demands and incurring high static power overheads, or designing for an average traffic pattern and risk degrading performance. This paper proposes adaptive bandwidth networks (ABNs) which divide channels and switches into lanes such that the network provides just the bandwidth necessary in each hop. ABNs also activate input virtual channels (VCs) individually and take advantage of drowsy SRAM cells to eliminate false VC activations. In addition, ABNs readily apply to silicon defect tolerance with just the extra cost for detecting faults. For application traffic, ABNs reduce total power consumption by an average of 45percent with comparable performance compared to single-lane power-gated networks, and 33percent compared to multi-network designs.

  4. Biomass Rapid Analysis Network (BRAN)

    SciTech Connect (OSTI)

    Not Available

    2003-10-01

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

  5. Attenuation-Based Remedies in the Subsurface Applied Field Research

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

    Initiative (ABRS AFRI) | Department of Energy Attenuation-Based Remedies in the Subsurface Applied Field Research Initiative (ABRS AFRI) Attenuation-Based Remedies in the Subsurface Applied Field Research Initiative (ABRS AFRI) Attenuation-Based Remedies in the Subsurface Applied Field Research Initiative (ABRS AFRI) Located at the Savannah River Site in Aiken, South Carolina, the Attenuation-Based Remedies in the Subsurface Applied Field Research Initiative (ABRS AFRI) was established to

  6. Vehicle Technologies Office: Applied Battery Research | Department of

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

    Energy Applied Battery Research Vehicle Technologies Office: Applied Battery Research Applied battery research addresses the barriers facing the lithium-ion systems that are closest to meeting the technical energy and power requirements for hybrid electric vehicle (HEV) and electric vehicle (EV) applications. In addition, applied battery research concentrates on technology transfer to ensure that the research results and lessons learned are effectively provided to U.S. automotive and battery

  7. Register to Apply for EERE Funding Opportunities | Department of Energy

    Office of Environmental Management (EM)

    Apply for Funding » Register to Apply for EERE Funding Opportunities Register to Apply for EERE Funding Opportunities Before applying to an EERE financial opportunity, potential applicants must complete specific registration requirements. Of the registrations listed below, the EERE Exchange registration does not have a delay; however, the remaining registration requirements could take several weeks to process and are necessary before a potential applicant can receive an award. To be eligible to

  8. Aachen University of Applied Sciences | Open Energy Information

    Open Energy Info (EERE)

    Aachen University of Applied Sciences Place: Germany Sector: Services Product: General Financial & Legal Services ( Academic Research foundation ) References: Aachen...

  9. Applied Process Engineering Laborotory APEL | Open Energy Information

    Open Energy Info (EERE)

    Engineering Laborotory (APEL) Place: United States Sector: Services Product: General Financial & Legal Services ( Private family-controlled ) References: Applied Process...

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

    U.S. Energy Information Administration (EIA) Indexed Site

    Network Configuration & System Design About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Network Configuration and System Design Overview | Transmission/Storage | Design Criteria | Importance of Storage| Overall Pipeline System Configuration Overview A principal requirement of the natural gas transmission system is that it be capable of meeting the peak demand of its shippers who have contracts for firm service. To meet this

  11. PLURAL METALLIC COATINGS ON URANIUM AND METHOD OF APPLYING SAME

    DOE Patents [OSTI]

    Gray, A.G.

    1958-09-16

    A method is described of applying protective coatings to uranlum articles. It consists in applying chromium plating to such uranium articles by electrolysis in a chromic acid bath and subsequently applying, to this minum containing alloy. This aluminum contalning alloy (for example one of aluminum and silicon) may then be used as a bonding alloy between the chromized surface and an aluminum can.

  12. CX-009418: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  13. CX-009419: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  14. CX-009420: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  15. Program for Online Network Inversion

    Energy Science and Technology Software Center (OSTI)

    2009-12-21

    PONI determines the source location of a contamination incident in a water distribution network. PONI uses large scale optimization methods to predict likely source locations by reconciling the differences between observations and numerical predictions of possible contamination incidents.

  16. The Ad Lucem Research Network

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

    The Ad Lucem Research Network Lada Adamic Associate Professor, School of Information & Center for the Study of Complex Systems University of Michigan Research interests: structure and dynamics of social and information networks, with a particular emphasis on information diffusion, expertise sharing, and online communities D. Lazer et al. "Computational Social Science." Science 323, 5915 (2009). J. Leskovec, L. A. Adamic, and B. A. Huberman. "The dynamics of viral

  17. Fact Sheet: Better Buildings Residential Network

    Broader source: Energy.gov [DOE]

    Fact Sheet: Better Buildings Residential Network, increasing the number of American Homes that are energy efficient.

  18. Better Buildings Residential Network Orientation Webinar

    Office of Energy Efficiency and Renewable Energy (EERE)

    Better Buildings Residential Network Orientation Webinar, call slides and discussion summary, May 14, 2015.

  19. Anomaly Detection in Dynamic Networks

    SciTech Connect (OSTI)

    Turcotte, Melissa

    2014-10-14

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

  20. Multifractional analysis and simulation of the global meteorological network

    SciTech Connect (OSTI)

    Tessier, Y.; Lovejoy, S.; Schertzer, D.

    1994-12-01

    Taking the example of the meteorological measuring network, it is shown how the density of stations can be characterized by multifractral analysis techniques are applied (including new ones designed to take into account the spherical geometry) to systematically test the limitsand types of network multiscaling. These techniques start with a network density defined by grids or circles and proceed to systematically degrade their resolution (no a priori scaling assumptions are necessary). The multiscale is found to hold over roughly the range 20 000 to 200 km (limited by the finite number of stations-here about 8000). Special attention is paid to qualitative changes in the scaling behavior occurring at very low and high density regions that the authors argue are associated with multifractural phase transitions. It is argued that the density was produced by a universal multifractal process, and the three corresponding universal multifractal parameters are estimated. The minimum and maximum orders of singularities present in the network are estimated, as well as the minimum- and maximum-order statistical moments that can be reliably estimated. The results are then used to simulate the effects of the finite number of stations on a network with the same statistical properties, and hence to quantitatively show that the observed breaks in the multiscaling can be accounted for by the finiteness. A growing number of geophysical fields have been shown to exhibit multiscaling properties over various ranges, and in this paper it is discussed how the bias introduced by the network clustering can be removed by new `multifractal objective analysis` procedures.

  1. Flexible network wireless transceiver and flexible network telemetry transceiver

    DOE Patents [OSTI]

    Brown, Kenneth D.

    2008-08-05

    A transceiver for facilitating two-way wireless communication between a baseband application and other nodes in a wireless network, wherein the transceiver provides baseband communication networking and necessary configuration and control functions along with transmitter, receiver, and antenna functions to enable the wireless communication. More specifically, the transceiver provides a long-range wireless duplex communication node or channel between the baseband application, which is associated with a mobile or fixed space, air, water, or ground vehicle or other platform, and other nodes in the wireless network or grid. The transceiver broadly comprises a communication processor; a flexible telemetry transceiver including a receiver and a transmitter; a power conversion and regulation mechanism; a diplexer; and a phased array antenna system, wherein these various components and certain subcomponents thereof may be separately enclosed and distributable relative to the other components and subcomponents.

  2. Opportunities to Apply Phase Change Materials to Building Enclosures

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

    Webinar | Department of Energy Opportunities to Apply Phase Change Materials to Building Enclosures Webinar Opportunities to Apply Phase Change Materials to Building Enclosures Webinar Slides from the Building America webinar on November 11, 2011. webinar_pcm_enclosures_20111111.pdf (2.99 MB) More Documents & Publications Building America Webinar: Opportunities to Apply Phase Change Materials to Building Enclosures Vehicle Technologies Office Merit Review 2016: ePATHS - electrical PCM

  3. 2008 Annual Merit Review Results Summary - 2. Applied Battery Research

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

    2-1 2. Applied Battery Research Introduction Applied battery research focuses on addressing the cross-cutting barriers facing the lithium-ion systems that are closest to meeting all of the technical energy and power requirements for hybrid electric vehicle (HEV) and electric vehicle (EV) applications. In addition, the applied battery research activity concentrates on technology transfer to ensure that the research results and lessons learned are effectively provided to U.S. automotive and

  4. Apply for the Parallel Computing Summer Research Internship

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

    How to Apply Apply for the Parallel Computing Summer Research Internship Creating next-generation leaders in HPC research and applications development Program Co-Lead Robert (Bob) Robey Email Program Co-Lead Gabriel Rockefeller Email Program Co-Lead Hai Ah Nam Email Professional Staff Assistant Nicole Aguilar Garcia (505) 665-3048 Email Current application deadline is February 5, 2016 with notification by early March 2016. Who can apply? Upper division undergraduate students and early graduate

  5. Where to Apply for Weatherization Assistance | Department of Energy

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

    You are here Home » Weatherization Assistance Program » Where to Apply for Weatherization Assistance Where to Apply for Weatherization Assistance To apply for weatherization assistance you need to contact your state weatherization agency. The U.S. Department of Energy (DOE) does not provide weatherization services or services of any kind to individuals. DOE also does not process applications-this process is handled by each state. How to Determine if You Are Eligible for Weatherization

  6. Building America Webinar: Opportunities to Apply Phase Change Materials to

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

    Building Enclosures | Department of Energy to Apply Phase Change Materials to Building Enclosures Building America Webinar: Opportunities to Apply Phase Change Materials to Building Enclosures This webinar, presented by research team Fraunhofer Center for Sustainable Energy Systems (CSE), reviewed basic physical characteristics and thermal properties of phase change materials (PCMs) and provided guidance on how to effectively apply PCMs in buildings in the United States.

  7. Apply: Funding Opportunity - Advancing Solutions to Improve Energy...

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

    Advancing Solutions to Improve Energy Efficiency of Commercial Buildings Apply: Funding Opportunity - Advancing Solutions to Improve Energy Efficiency of Commercial Buildings ...

  8. ENERGY STAR Webinar: How to Apply for the ENERGY STAR

    Broader source: Energy.gov [DOE]

    The U.S. Environmental Protection Agency (EPA) is hosting a webinar on how to apply for ENERGY STAR certification in Portfolio Manager.

  9. Identification of multi-modal plasma responses to applied magnetic...

    Office of Scientific and Technical Information (OSTI)

    Title: Identification of multi-modal plasma responses to applied magnetic ... Type: Publisher's Accepted Manuscript Journal Name: Physics of Plasmas Additional Journal ...

  10. Apply: Building Energy Efficiency Frontiers and Incubator Technologies...

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

    Building Energy Efficiency Frontiers and Incubator Technologies (BENEFIT) - 2014 (DE-FOA-0001027) Apply: Building Energy Efficiency Frontiers and Incubator Technologies (BENEFIT) - ...

  11. Attenuation-Based Remedies in the Subsurface Applied Field Research...

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

    The mission of the Attenuation Based Remedies in the Subsurface Applied Field Research Initiative is to seek holistic solutions to DOE's groundwater contamination problems that ...

  12. The generalized finite element method applied to the dynamic...

    Office of Scientific and Technical Information (OSTI)

    Title: The generalized finite element method applied to the dynamic response of heterogeneous media. Authors: Robbins, Joshua ; Voth, Thomas E. Publication Date: 2013-02-01 OSTI ...

  13. BLM Manual 2804: Applying for FLPMA Grants | Open Energy Information

    Open Energy Info (EERE)

    search OpenEI Reference LibraryAdd to library PermittingRegulatory Guidance - GuideHandbook: BLM Manual 2804: Applying for FLPMA GrantsPermittingRegulatory...

  14. Apply: Small Business Funding Opportunity for Lighting, Integrated...

    Office of Environmental Management (EM)

    Small Business Funding Opportunity for Lighting, Integrated Storage, and Distributed Generation Apply: Small Business Funding Opportunity for Lighting, Integrated Storage, and ...

  15. Crivelli, Silvia; Meza, Juan 60 APPLIED LIFE SCIENCES Ernest...

    Office of Scientific and Technical Information (OSTI)

    folding via divide-and-conquer optimization Oliva, Ricardo; Crivelli, Silvia; Meza, Juan 60 APPLIED LIFE SCIENCES Ernest Orlando Lawrence Berkeley NationalLaboratory, Berkeley, CA...

  16. Modular Applied General Equilibrium Tool (MAGNET) | Open Energy...

    Open Energy Info (EERE)

    Related Tools CRiSTAL Forests MCA4Climate - Guidance for scientifically sound climate change planning Environmental Impact and Sustainability Applied General Equilibrium Model...

  17. Applied Solar LLC formerly Open Energy Corp and Barnabus Energy...

    Open Energy Info (EERE)

    Open Energy Corp and Barnabus Energy Inc Jump to: navigation, search Name: Applied Solar LLC (formerly Open Energy Corp and Barnabus Energy Inc) Place: San Diego, California...

  18. Building America Whole-House Solutions for Existing Homes: Applying...

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

    Building America Whole-House Solutions for Existing Homes: Applying Best Practices to Florida Local Government Retrofit Programs - Central Florida (Fact Sheet) Building America ...

  19. Overview of Applied Battery Research | Department of Energy

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

    4_henriksen.pdf (802.95 KB) More Documents & Publications Overview of Applied Battery Research Electrochemistry Diagnostics at LBNL ELECTROCHEMISTRY DIAGNOSTICS AT LBNL

  20. Applied Studies and Technology (AS&T) | Department of Energy

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

    Applied Studies and Technology (AS&T) DOE established the Environmental Sciences Laboratory (ESL) in Grand Junction, Colorado, in 1991 to support its programs. ESL scientists ...

  1. Applied Materials Switzerland SA Formerly HCT Shaping Systems...

    Open Energy Info (EERE)

    Switzerland SA Formerly HCT Shaping Systems SA Jump to: navigation, search Name: Applied Materials Switzerland SA (Formerly HCT Shaping Systems SA) Place: Chezeaux, Switzerland...

  2. D&D Toolbox Project - Technology Demonstration of Fixatives Applied...

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

    D&D Toolbox Project - Technology Demonstration of Fixatives Applied to Hot Cell Facilities via Remote Sprayer Platforms (215.59 KB) More Documents & Publications Demonstration of ...

  3. Expert Meeting Report: Recommendations for Applying Water Heaters...

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

    Recommendations for Applying Water Heaters in Combination Space and Domestic Water Heating Systems A. Rudd, K. Ueno, D. Bergey, R. Osser Building Science Corporation June 2012 i ...

  4. Building America Whole-House Solutions for Existing Homes: Applying...

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

    Homes: Applying Best Practices to Florida Local Government Retrofit Programs - Central Florida (Fact Sheet) Building America Whole-House Solutions for Existing Homes: ...

  5. Solar Applied Materials Technology Corp | Open Energy Information

    Open Energy Info (EERE)

    Name: Solar Applied Materials Technology Corp Place: Tainan, Taiwan Product: Taiwan's material process specialists with over 20 years experience and in the areas of sputtering...

  6. Energy Department Announces Up to $14 Million for Applying Landscape...

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

    Applying landscape design to bioenergy production systems is a promising approach for meeting multiple environmental, social, and economic objectives, such as maintaining or ...

  7. Webinar "Applying High Performance Computing to Engine Design...

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

    Webinar "Applying High Performance Computing to Engine Design Using Supercomputers" Share ... Study Benefits of Bioenergy Crop Integration Video: Biofuel technology at Argonne

  8. D&D Toolbox Project - Technology Demonstration of Fixatives Applied...

    Office of Environmental Management (EM)

    D&D activities, performed by Florida International University's Applied Research Center ... and selected for integration with a commercially available remotely operated platform. ...

  9. Am Shav Technological Applied Development Center | Open Energy...

    Open Energy Info (EERE)

    Technological Applied Development Center Place: Israel Sector: Services Product: General Financial & Legal Services ( Private family-controlled ) References: Am-Shav...

  10. Time lagged ordinal partition networks for capturing dynamics of continuous dynamical systems

    SciTech Connect (OSTI)

    McCullough, Michael; Iu, Herbert Ho-Ching; Small, Michael; Stemler, Thomas

    2015-05-15

    We investigate a generalised version of the recently proposed ordinal partition time series to network transformation algorithm. First, we introduce a fixed time lag for the elements of each partition that is selected using techniques from traditional time delay embedding. The resulting partitions define regions in the embedding phase space that are mapped to nodes in the network space. Edges are allocated between nodes based on temporal succession thus creating a Markov chain representation of the time series. We then apply this new transformation algorithm to time series generated by the Rssler system and find that periodic dynamics translate to ring structures whereas chaotic time series translate to band or tube-like structuresthereby indicating that our algorithm generates networks whose structure is sensitive to system dynamics. Furthermore, we demonstrate that simple network measures including the mean out degree and variance of out degrees can track changes in the dynamical behaviour in a manner comparable to the largest Lyapunov exponent. We also apply the same analysis to experimental time series generated by a diode resonator circuit and show that the network size, mean shortest path length, and network diameter are highly sensitive to the interior crisis captured in this particular data set.

  11. Better Buildings Network View | April 2014 | Department of Energy

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

    4 Better Buildings Network View | April 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. Better Buildings Network View April 2014 (130.28 KB) More Documents & Publications Better Buildings Network View | December 2014 Better Buildings Residential Network Orientation Webinar Better Buildings Network View | May

  12. Better Buildings Network View | April 2015 | Department of Energy

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

    5 Better Buildings Network View | April 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. Better Buildings Network View April 2015 (155.77 KB) More Documents & Publications Better Buildings Network View | May 2015 Better Buildings Network View | March 2015 Better Buildings Network View | July-August

  13. Better Buildings Network View | April 2016 | Department of Energy

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

    6 Better Buildings Network View | April 2016 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. Better Buildings Network View April 2016 (154.45 KB) More Documents & Publications Better Buildings Network View | May 2016 Better Buildings Network View | June 2016 Better Buildings Network View | January 2016

  14. Better Buildings Network View | February 2014 | Department of Energy

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

    4 Better Buildings Network View | February 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. Better Buildings Network View February 2014 (173.15 KB) More Documents & Publications Better Buildings Network View | January 2014 Better Buildings Network View | May 2015 Better Buildings Network View | June 2015

  15. Better Buildings Network View | June 2016 | Department of Energy

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

    6 Better Buildings Network View | June 2016 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. Better Buildings Network View June 2016 (235.96 KB) More Documents & Publications Better Buildings Network View | November 2015 Better Buildings Network View | April 2016 Better Buildings Network View | May 2016

  16. Better Buildings Network View | March 2014 | Department of Energy

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

    4 Better Buildings Network View | March 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. Better Buildings Network View March 2014 (129.73 KB) More Documents & Publications Better Buildings Network View | June 2015 Better Buildings Network View | May 2015 Better Buildings Network View | April 2014

  17. Better Buildings Network View | March 2015 | Department of Energy

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

    5 Better Buildings Network View | March 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. Better Buildings Network View March 2015 (264.47 KB) More Documents & Publications Better Buildings Network View | January 2015 Better Buildings Network View | December 2014 Better Buildings Network View | April 2015

  18. Better Buildings Network View | March 2016 | Department of Energy

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

    6 Better Buildings Network View | March 2016 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. Better Buildings Network View March 2016 (211.92 KB) More Documents & Publications Better Buildings Network View | April 2016 Better Buildings Network View | May 2016 Better Buildings Network View | February 2016

  19. Better Buildings Network View | May 2016 | Department of Energy

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

    6 Better Buildings Network View | May 2016 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. Better Buildings Network View May 2016 (196.19 KB) More Documents & Publications Better Buildings Network View | April 2016 Better Buildings Network View | June 2016 Better Buildings Network View | January 2016

  20. Better Buildings Network View | November 2014 | Department of Energy

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

    November 2014 Better Buildings Network View | November 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. Better Buildings Network View November 2014 (162.63 KB) More Documents & Publications Better Buildings Network View | July-August 2014 Better Buildings Residential Network Orientation Webinar Better Buildings Network View | December 2014

  1. Rationality Validation of a Layered Decision Model for Network Defense

    SciTech Connect (OSTI)

    Wei, Huaqiang; Alves-Foss, James; Zhang, Du; Frincke, Deb

    2007-08-31

    We propose a cost-effective network defense strategy built on three key: three decision layers: security policies, defense strategies, and real-time defense tactics for countering immediate threats. A layered decision model (LDM) can be used to capture this decision process. The LDM helps decision-makers gain insight into the hierarchical relationships among inter-connected entities and decision types, and supports the selection of cost-effective defense mechanisms to safeguard computer networks. To be effective as a business tool, it is first necessary to validate the rationality of model before applying it to real-world business cases. This paper describes our efforts in validating the LDM rationality through simulation.

  2. Composition for applying antireflective coating on solar cell

    SciTech Connect (OSTI)

    Whitehouse, D.L.

    1983-10-25

    A method is disclosed, and the composition, for the application of an antireflective coating on solar cells and the subsequent application of metal contacts comprising applying a screen to the surface of a solar cell, applying a paste comprising a metal alkoxide over the screen, heat treating the cell and metal alkoxide paste, and nickel plating the resultant cell.

  3. Method for applying antireflective coating on solar cell

    SciTech Connect (OSTI)

    Whitehouse, D.L.

    1982-05-04

    A method for the application and the composition of an antireflective coating on solar cells and the subsequent application of metal contacts comprises applying a screen to the surface of a solar cell, applying a paste comprising a metal alkoxide over the screen, heat treating the cell and metal alkoxide paste, and nickel plating the resultant cell.

  4. Computational Advances in Applied Energy | Department of Energy

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

    Computational Advances in Applied Energy Computational Advances in Applied Energy Friedmann-LLNL-SEAB.10.11.pdf (19.92 MB) More Documents & Publications Director's Perspective by George Miller Fact Sheet: Collaboration of Oak Ridge, Argonne, and Livermore (CORAL) QER - Comment of Canadian Hydropower Association

  5. ENERGY STAR Webinar: How to Apply for the ENERGY STAR

    Broader source: Energy.gov [DOE]

    The U.S. Environmental Protection Agency (EPA) is hosting a webinar on how to apply for ENERGY STAR certification in Portfolio Manager. Understand the value of the ENERGY STAR certification, see the step-by-step process of applying, and gain tips to help your property get from application to award.

  6. Applied research in the solar thermal-energy-systems program

    SciTech Connect (OSTI)

    Brown, C. T.; Lefferdo, J. M.

    1981-03-01

    Within the Solar Thermal Research and Advanced Development (RAD) program a coordinated effort in materials research, fuels and chemical research and applied research is being carried out to meet the systems' needs. Each of these three program elements are described with particular attention given to the applied research activity.

  7. Deep Vadose Zone Applied Field Research Initiative (DVZ AFRI) - Overview

    SciTech Connect (OSTI)

    2011-02-01

    The Deep Vadoze Zone Applied Field Research Initiative (DVZ AFRI) was established to protect water resources and to address the challenge of preventing contamination in the deep vadose zone from reaching groundwater. This factsheet provides an overview of the initiative and the approach to integrate basic science and needs-driven applied research activities with cleanup operations.

  8. ENERGY STAR Webinar: How to Apply for ENERGY STAR

    Broader source: Energy.gov [DOE]

    The U.S. Environmental Protection Agency (EPA) ENERGY STAR is hosting a webinar on how to apply for ENERGY STAR Certification in Portfolio Manager. Understand the value of the ENERGY STAR certification, see the step-by-step process of applying, and gain tips to help your property get from application to award.

  9. Northeast Hydrogen Station Network Summary

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

    World leader in gases, technologies and services for Industry and Health June 10, 2016 NE Hydrogen Station Network Summary DOE AMR 2016 2 World leader in gases, technologies and services for Industry and Health East Coast Planned Fueling network- Stations 12 Stations for the North East  NYC and Long Island- (4)  Boston Area - (4)  Connecter Stations - (1) Hartford, CT & (1) Providence, RI  Northern New Jersey- (2) 6/18/2016 3 World leader in gases, technologies and services for

  10. Network user`s guide

    SciTech Connect (OSTI)

    McGrady, P.W.

    1994-12-01

    NETWORK is a FORTRAN code used to model process flow systems in the gaseous diffusion plants at Portsmouth, Ohio and Paducah, Kentucky, operated by the United States Enrichment Corporation. It can handle a wide range of components and several different types of controllers. NETWORK can be run in either a steady-state mode or a transient mode. In the transient mode many different types of perturbations may be modeled. It is currently being used to model taking a cell off-stream in a gaseous diffusion plant. A brief description of the code is given, and process equipment models and input data are discussed.

  11. ARM - Field Campaign - COSMOS Network

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

    govCampaignsCOSMOS Network Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : COSMOS Network 2010.08.05 - 2017.03.01 Lead Scientist : Marek Zreda For data sets, see below. Abstract Cosmic-ray soil moisture probes are installed and operating at the SGP. The probe measures soil moisture in the area ca. 350 m around it. The raw data (neutron counts, pressure, temperature, battery and instrument voltages, and miscellaneous data) are being

  12. Virtualized Network Control. Final Report

    SciTech Connect (OSTI)

    Ghani, Nasir

    2013-02-01

    This document is the final report for the Virtualized Network Control (VNC) project, which was funded by the United States Department of Energy (DOE) Office of Science. This project was also informally referred to as Advanced Resource Computation for Hybrid Service and TOpology NEtworks (ARCHSTONE). This report provides a summary of the project's activities, tasks, deliverable, and accomplishments. It also provides a summary of the documents, software, and presentations generated as part of this projects activities. Namely, the Appendix contains an archive of the deliverables, documents, and presentations generated a part of this project.

  13. DOE Establishment of an Inter-Tribal Technical Assistance Energy Providers Network FOA Webinar

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy (DOE) Office of Indian Energy is soliciting applications from Inter-tribal organizations and Alaska Native Regional Corporations to pilot a Technical Assistance Energy Providers Networks. This webinar described who is eligible to apply, what the application needs to include, cost share and other requirements, how to ask questions, and how applications will be selected for funding.

  14. BER Science Network Requirements (Technical Report) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: BER Science Network Requirements Citation Details In-Document Search Title: BER Science Network Requirements The Energy Sciences Network (ESnet) is the primary ...

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

    Open Energy Info (EERE)

    Energy Knowledge Network (UN-Energy) Jump to: navigation, search Logo: United Nations Energy Knowledge Network (UN-Energy) Name: United Nations Energy Knowledge Network (UN-Energy)...

  16. Austin Solar Energy Entrepreneurs Network | Open Energy Information

    Open Energy Info (EERE)

    Entrepreneurs Network Jump to: navigation, search Logo: Austin Solar Energy Entrepreneurs Network Name: Austin Solar Energy Entrepreneurs Network Place: Austin, Texas Zip: 78701...

  17. ESnet Support for WAN Data Movement Eli Dart, Network Engineer

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

    Support for WAN Data Movement Eli Dart, Network Engineer ESnet Science Engagement Group ... A Science Network First We specifically engineer the network to support data-intensive ...

  18. ARM: Baseline Solar Radiation Network (BSRN): solar irradiances...

    Office of Scientific and Technical Information (OSTI)

    Baseline Solar Radiation Network (BSRN): solar irradiances Title: ARM: Baseline Solar Radiation Network (BSRN): solar irradiances Baseline Solar Radiation Network (BSRN): solar ...

  19. Better Buildings Network View | November 2015 | Department of...

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

    5 Better Buildings Network View | November 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF...

  20. Better Buildings Network View | January 2016 | Department of...

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

    6 Better Buildings Network View | January 2016 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF ...

  1. Better Buildings Network View | June 2014 | Department of Energy

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

    4 Better Buildings Network View | June 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF icon ...

  2. Better Buildings Network View | January 2015 | Department of...

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

    5 Better Buildings Network View | January 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF ...

  3. Better Buildings Network View | February 2014 | Department of...

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

    4 Better Buildings Network View | February 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF ...

  4. Better Buildings Network View | July-August 2014 | Department...

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

    4 Better Buildings Network View | July-August 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. ...

  5. Better Buildings Network View | February 2016 | Department of...

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

    6 Better Buildings Network View | February 2016 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF ...

  6. Better Buildings Network View | May 2014 | Department of Energy

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

    4 Better Buildings Network View | May 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF icon ...

  7. Better Buildings Network View | March 2014 | Department of Energy

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

    4 Better Buildings Network View | March 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF ...

  8. Better Buildings Network View | April 2015 | Department of Energy

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

    5 Better Buildings Network View | April 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF ...

  9. Better Buildings Network View | December 2014 | Department of...

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

    4 Better Buildings Network View | December 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF ...

  10. Better Buildings Network View | March 2015 | Department of Energy

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

    5 Better Buildings Network View | March 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF ...

  11. Better Buildings Network View | January 2014 | Department of...

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

    4 Better Buildings Network View | January 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF ...

  12. Better Buildings Network View | October 2015 | Department of...

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

    5 Better Buildings Network View | October 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF ...

  13. Better Buildings Network View | March 2016 | Department of Energy

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

    6 Better Buildings Network View | March 2016 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF ...

  14. Better Buildings Network View | June 2015 | Department of Energy

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

    5 Better Buildings Network View | June 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF icon ...

  15. Better Buildings Network View | July-August 2015 | Department...

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

    5 Better Buildings Network View | July-August 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. ...

  16. Better Buildings Residential Network Peer Exchange Call: Nothing...

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

    Nothing But Networking for Residential Network Members Call Slides and Discussion Summary March 12, 2015 Welcome and Agenda Review Better Buildings Residential Network ...

  17. Renewable Energy Business Network - Boston | Open Energy Information

    Open Energy Info (EERE)

    Network - Boston Jump to: navigation, search Name: Clean Economy Network FoundationRenewable Energy Business Network - Boston Address: 55 Union Street Place: Boston, MA Zip: 02108...

  18. Better Buildings Network View | November 2014 | Department of...

    Office of Environmental Management (EM)

    newsletter from the U.S. Department of Energy's Better Buildings Residential Network. ... Better Buildings Network View | July-August 2014 Better Buildings Residential Network ...

  19. Better Buildings Network View | December 2015 | Department of...

    Office of Environmental Management (EM)

    newsletter from the U.S. Department of Energy's Better Buildings Residential Network. ... Network View | July-August 2015 Better Buildings Residential Network Orientation Webinar

  20. Better Buildings Network View | April 2014 | Department of Energy

    Office of Environmental Management (EM)

    Residential Network. Better Buildings Network View April 2014 (130.28 KB) More Documents & Publications Better Buildings Network View | December 2014 Better Buildings Residential ...

  1. Better Buildings Network View | May 2015 | Department of Energy

    Office of Environmental Management (EM)

    Residential Network. Better Buildings Network View May 2015 (548.9 KB) More Documents & Publications Better Buildings Network View | June 2015 Home Performance with ENERGY STAR ...

  2. PROJECT PROFILE: The Solar Foundation - Solar Training Network...

    Energy Savers [EERE]

    Training Network PROJECT PROFILE: The Solar Foundation - Solar Training Network Project Name: Solar Training Network Funding Opportunity: Solar Training and Education for ...

  3. UNEP-Southeast Asia Climate Change Network | Open Energy Information

    Open Energy Info (EERE)

    Southeast Asia Climate Change Network Jump to: navigation, search Logo: UNEP-Southeast Asia Climate Change Network Name UNEP-Southeast Asia Climate Change Network AgencyCompany...

  4. Organization of growing random networks

    SciTech Connect (OSTI)

    Krapivsky, P. L.; Redner, S.

    2001-06-01

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

  5. Host Event Based Network Monitoring

    SciTech Connect (OSTI)

    Jonathan Chugg

    2013-01-01

    The purpose of INL’s research on this project is to demonstrate the feasibility of a host event based network monitoring tool and the effects on host performance. Current host based network monitoring tools work on polling which can miss activity if it occurs between polls. Instead of polling, a tool could be developed that makes use of event APIs in the operating system to receive asynchronous notifications of network activity. Analysis and logging of these events will allow the tool to construct the complete real-time and historical network configuration of the host while the tool is running. This research focused on three major operating systems commonly used by SCADA systems: Linux, WindowsXP, and Windows7. Windows 7 offers two paths that have minimal impact on the system and should be seriously considered. First is the new Windows Event Logging API, and, second, Windows 7 offers the ALE API within WFP. Any future work should focus on these methods.

  6. Computer Networking Group | Stanford Synchrotron Radiation Lightsource

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

    Computer Networking Group Do you need help? For assistance please submit a CNG Help Request ticket. CNG Logo Chris Ramirez SSRL Computer and Networking Group (650) 926-2901 | email ...

  7. Computer network control plane tampering monitor

    DOE Patents [OSTI]

    Michalski, John T.; Tarman, Thomas D.; Black, Stephen P.; Torgerson, Mark D.

    2010-06-08

    A computer network control plane tampering monitor that detects unauthorized alteration of a label-switched path setup for an information packet intended for transmission through a computer network.

  8. Energy Materials Network | Department of Energy

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

    Energy Materials Network LightMat LightMat Established as part of the Energy Materials Network, the mission of the Lightweight Materials National Lab Consortium (LightMat) is to ...

  9. Global Renewable Energy Network | Open Energy Information

    Open Energy Info (EERE)

    Renewable Energy Network (GReEN) Name: Global Renewable Energy Network (GReEN) Address: P.O. Box 1999 Place: Massapequa, NY Zip: 11758 Region: Northeast - NY NJ CT PA Area Number...

  10. Identification of Severe Multiple Contingencies in Electric PowerNetworks

    SciTech Connect (OSTI)

    Donde, Vaibhav; Lopez, Vanessa; Lesieutre, Bernard; Pinar, Ali; Yang,Chao; Meza, Juan

    2005-07-01

    In this paper we propose a two-stage screening and analysis process for identifying multiple contingencies that may result in very severe disturbances and blackouts. In a screening stage we form an optimization problem to find the minimum change in the network to move the power flow feasibility boundary to the present operating point and that will cause the system to separate with a user-specified power imbalance. The lines identified by the optimization program are used in a subsequent analysis stage to find combinations that may lead to a blackout. This approach is applied to a 30-bus system with encouraging results.

  11. Associative memory in phasing neuron networks

    SciTech Connect (OSTI)

    Nair, Niketh S; Bochove, Erik J.; Braiman, Yehuda

    2014-01-01

    We studied pattern formation in a network of coupled Hindmarsh-Rose model neurons and introduced a new model for associative memory retrieval using networks of Kuramoto oscillators. Hindmarsh-Rose Neural Networks can exhibit a rich set of collective dynamics that can be controlled by their connectivity. Specifically, we showed an instance of Hebb's rule where spiking was correlated with network topology. Based on this, we presented a simple model of associative memory in coupled phase oscillators.

  12. Social Network and Communications Institutional Change Principle |

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

    Department of Energy Network and Communications Institutional Change Principle Social Network and Communications Institutional Change Principle Federal agencies can use social networks and communications to spark and reinforce behavior change for meeting sustainability goals. This principle is based on research findings showing that people and institutions often are strongly influenced by the behaviors and expectations of others. Methods The social network and communications behavior change

  13. Mesoscale Simulations of Coarsening in GB Networks

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

    Mukul Kumar is the Principal Investigator for Mesoscale Simulations of Coarsening in GB Networks LLNL BES Programs Highlight Mesoscale Simulations of Coarsening in GB Networks The Phase Field Model evolves a grain boundary network with realistic network correlations, as seeded by a group-theory-based Monte Carlo model M. Tang, B. W. Reed, and M. Kumar, J. Appl. Phys. 112, 043505 (2012) V. Bulatov, B. W. Reed, and M. Kumar; "Grain boundary energy function for FCC metals," Physical

  14. Better Buildings Network View January 2016

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

    Technology (ICAST) are Better Buildings Residential Network nonprofit members that develop energy efficiency solutions for multifamily and affordable housing communities. ...

  15. Fermilab | Science at Fermilab | Computing | Networking

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

    Detectors and Computing Detectors and Computing Computing Networking Physicists are constantly exchanging information, within Fermilab and between Fermilab and collaborating ...

  16. Webinar: Understanding and Applying TM-30-15

    Broader source: Energy.gov [DOE]

    The IES recently approved TM-30-15, a new method for evaluating light source color rendition. This webinar, “Understanding and Applying TM-30-15, the IES Method for Evaluating Light Source Color...

  17. Mission Driven and Applied Science | The Ames Laboratory

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

    Integrating for Materials Technology, Engineering, Education, and Research (i-MatTER) i-MatTER matches our centers with applied activities in WDTS, EERE, FE, ARPA-E, technology ...

  18. How to Apply for Weatherization Assistance | Department of Energy

    Energy Savers [EERE]

    The funds announced earlier this month allow for people who make up to 200% of the federal poverty level to apply for weatherization-which is about 44,000 for a family of four in ...

  19. ENERGY STAR Webinar: How to Apply for the ENERGY STAR

    Broader source: Energy.gov [DOE]

    The U.S. Environmental Protection Agency (EPA) is hosting a webinar on how to apply for ENERGY STAR certification in Portfolio Manager. Understand the value of the ENERGY STAR certification, see...

  20. Apply: Increase Residential Energy Code Compliance Rates (DE...

    Office of Environmental Management (EM)

    Increase Residential Energy Code Compliance Rates (DE-FOA-0000953) Apply: Increase Residential Energy Code Compliance Rates (DE-FOA-0000953) April 21, 2014 - 12:32pm Addthis This ...

  1. Sandian Named Fellow of the Society for Industrial and Applied...

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

    ... Kolda and the other members of the 2015 class of SIAM fellows will be honored in August at the International Congress on Industrial and Applied Mathematics in Beijing. Read the ...

  2. Deep Vadose Zone Applied Field Research Initiative (DVZ-AFRI)

    Broader source: Energy.gov [DOE]

    Located on the Hanford Site in Richland, Washington, the Deep Vadose Zone Applied Field Research Initiative (DVZ AFRI) was established to protect water resources by addressing the challenge of...

  3. Networks in Buildings: Which Path Forward?

    SciTech Connect (OSTI)

    Nordman, Bruce

    2008-08-17

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

  4. Trace Replay and Network Simulation Tool

    Energy Science and Technology Software Center (OSTI)

    2015-03-23

    TraceR is a trace reply tool built upon the ROSS-based CODES simulation framework. TraceR can be used for predicting network performances and understanding network behavior by simulating messaging in High Performance Computing applications on interconnection networks.

  5. Network Security Mechanisms Utilizing Dynamic Network Address Translation LDRD Project

    SciTech Connect (OSTI)

    PRICE, CARRIE M.; STANTON, ERIC; LEE, ERIK J.; MICHALSKI, JOHN T.; CHUA, KUAN SEAH; WONG, YIP HENG; TAN, CHUNG PHENG

    2002-11-01

    A new protocol technology is just starting to emerge from the laboratory environment. Its stated purpose is to provide an additional means in which networks, and the services that reside on them, can be protected from adversarial compromise. This report has a two-fold objective. First is to provide the reader with an overview of this emerging Dynamic Defenses technology using Dynamic Network Address Translation (Dynat). This ''structure overview'' is concentrated in the body of the report, and describes the important attributes of the technology. The second objective is to provide a framework that can be used to help in the classification and assessment of the different types of dynamic defense technologies along with some related capabilities and limitations. This information is primarily contained in the appendices.

  6. Rational Catalyst Design Applied to Development of Advanced Oxidation

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

    Catalysts for Diesel Emission Control | Department of Energy Rational Catalyst Design Applied to Development of Advanced Oxidation Catalysts for Diesel Emission Control Rational Catalyst Design Applied to Development of Advanced Oxidation Catalysts for Diesel Emission Control Presentation given at the 2007 Diesel Engine-Efficiency & Emissions Research Conference (DEER 2007). 13-16 August, 2007, Detroit, Michigan. Sponsored by the U.S. Department of Energy's (DOE) Office of FreedomCAR and

  7. Applying for EERE Funding Opportunities | Department of Energy

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

    You are here Home » Applying for EERE Funding Opportunities Applying for EERE Funding Opportunities EERE uses Funding Opportunity Announcements (FOAs) to solicit applications in specific program areas and selects projects based on a merit review process that includes industry and technology experts. What to Expect During the Application Process Illustration showing the funding and approval process. The application process may include multiple phases: letter of intent, concept paper, full

  8. Behavioral Economics Applied to Energy Demand Analysis: A Foundation

    U.S. Energy Information Administration (EIA) Indexed Site

    Behavioral Economics Applied to Energy Demand Analysis: A Foundation October 2014 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Behavioral Economics Applied to Energy Demand Analysis i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of

  9. Bridging the Gap between Fundamental Physics and Chemistry and Applied

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

    Models for HCCI Engines | Department of Energy Bridging the Gap between Fundamental Physics and Chemistry and Applied Models for HCCI Engines Bridging the Gap between Fundamental Physics and Chemistry and Applied Models for HCCI Engines 2005 Diesel Engine Emissions Reduction (DEER) Conference Presentations and Posters 2005_deer_assanis.pdf (1.42 MB) More Documents & Publications Computationally Efficient Modeling of High-Efficiency Clean Combustion Engines Modeling of HCCI and PCCI

  10. Optical Diagnostics and Modeling Tools Applied to Diesel HCCI | Department

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

    of Energy Optical Diagnostics and Modeling Tools Applied to Diesel HCCI Optical Diagnostics and Modeling Tools Applied to Diesel HCCI 2002 DEER Conference Presentation: Caterpillar Engine Research 2002_deer_choi.pdf (954.08 KB) More Documents & Publications Computational Fluid Dynamics Modeling of Diesel Engine Combustion and Emissions Development of Enabling Technologies for High Efficiency, Low Emissions Homogeneous Charge Compression Ignition (HCCI) Engines 3-D Combustion Simulation

  11. 2008 Annual Merit Review Results Summary - 2. Applied Battery Research |

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

    Department of Energy 2. Applied Battery Research 2008 Annual Merit Review Results Summary - 2. Applied Battery Research DOE Vehicle Technologies Annual Merit Review 2008_merit_review_2.pdf (1.85 MB) More Documents & Publications 2008 Annual Merit Review Results Summary - 3. Battery Development, Testing, Simulation, Analysis 2008 Annual Merit Review Results Summary - 4. Exploratory Battery Research 2011 Annual Merit Review Results Report - Energy Storage Technologies

  12. Statistical and Domain Analytics Applied to PV Module Lifetime and

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

    Degradation Science | Department of Energy Statistical and Domain Analytics Applied to PV Module Lifetime and Degradation Science Statistical and Domain Analytics Applied to PV Module Lifetime and Degradation Science Presented at the PV Module Reliability Workshop, February 26 - 27 2013, Golden, Colorado pvmrw13_ps2_casewestern_bruckman.pdf (6.77 MB) More Documents & Publications Literature Review of the Effects of UV Exposure on PV Modules Failure Rates from Certification Testing to UL

  13. Applying Risk Communication to the Transportation of Radioactive Materials

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

    | Department of Energy Applying Risk Communication to the Transportation of Radioactive Materials Applying Risk Communication to the Transportation of Radioactive Materials Participants should expect to gain the following skills: How to recognize how the stakeholders prefer to receive information How to integrate risk communication principles into individual communication How to recognize the importance of earning trust and credibility How to identify stakeholders How to answer questions

  14. Applying an Experimental Design Loop to Shape Memory Alloys (Conference) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Conference: Applying an Experimental Design Loop to Shape Memory Alloys Citation Details In-Document Search Title: Applying an Experimental Design Loop to Shape Memory Alloys Authors: Hogden, John Edward [1] + Show Author Affiliations Los Alamos National Laboratory Publication Date: 2016-06-01 OSTI Identifier: 1257099 Report Number(s): LA-UR-16-23811 DOE Contract Number: AC52-06NA25396 Resource Type: Conference Resource Relation: Conference: Data Science and Optimal Learning

  15. CONTRACTOR LEGAL MANAGEMENT REQUIREMENTS: APPLYING THE FINAL RULE TO

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

    EXISTING CONTRACTS | Department of Energy CONTRACTOR LEGAL MANAGEMENT REQUIREMENTS: APPLYING THE FINAL RULE TO EXISTING CONTRACTS CONTRACTOR LEGAL MANAGEMENT REQUIREMENTS: APPLYING THE FINAL RULE TO EXISTING CONTRACTS The Department issued a Final Rule revising the regulations covering contractor legal management requirements at 10 C.F.R. 719 (Federal Register May 3, 2013; http://www.gpo.gov/fdsys/pkg/FR-2013-05-03/pdf/2013-10485.pdf). It requires Contracting Officers to attempt to execute

  16. Conference Proceedings Available - The Smart Grid Experience: Applying

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

    Results, Reaching Beyond | Department of Energy Conference Proceedings Available - The Smart Grid Experience: Applying Results, Reaching Beyond Conference Proceedings Available - The Smart Grid Experience: Applying Results, Reaching Beyond March 23, 2015 - 10:55am Addthis In October 2014, the Electric Power Research Institute (EPRI) and the U.S. Department of Energy's (DOE's) Office of Electricity Delivery and Energy Reliability (OE) held a conference to assess progress, impacts, benefits,

  17. Thermal conductivity of tubrostratic carbon nanofiber networks

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

    Bauer, Matthew L.; Saltonstall, Chris B.; Leseman, Zayd C.; Beechem, Thomas E.; Hopkins, Patrick E.; Norris, Pamela M.

    2016-01-01

    Composite material systems composed of a matrix of nano materials can achieve combinations of mechanical and thermophysical properties outside the range of traditional systems. While many reports have studied the intrinsic thermal properties of individual carbon fibers, to be useful in applications in which thermal stability is critical, an understanding of heat transport in composite materials is required. In this work, air/ carbon nano fiber networks are studied to elucidate the system parameters influencing thermal transport. Sample thermal properties are measured with varying initial carbon fiber fill fraction, environment pressure, loading pressure, and heat treatment temperature through a bidirectional modificationmore » of the 3ω technique. The nanostructures of the individual fibers are characterized with small angle x-ray scattering and Raman spectroscopy providing insight to individual fiber thermal conductivity. Measured thermal conductivity varied from 0.010 W/(m K) to 0.070 W/(m K). An understanding of the intrinsic properties of the individual fibers and the interactions of the two phase composite is used to reconcile low measured thermal conductivities with predictive modeling. This methodology can be more generally applied to a wide range of fiber composite materials and their applications.« less

  18. Thermal conductivity of tubrostratic carbon nanofiber networks

    SciTech Connect (OSTI)

    Bauer, Matthew L.; Saltonstall, Chris B.; Leseman, Zayd C.; Beechem, Thomas E.; Hopkins, Patrick E.; Norris, Pamela M.

    2016-01-01

    Composite material systems composed of a matrix of nano materials can achieve combinations of mechanical and thermophysical properties outside the range of traditional systems. While many reports have studied the intrinsic thermal properties of individual carbon fibers, to be useful in applications in which thermal stability is critical, an understanding of heat transport in composite materials is required. In this work, air/ carbon nano fiber networks are studied to elucidate the system parameters influencing thermal transport. Sample thermal properties are measured with varying initial carbon fiber fill fraction, environment pressure, loading pressure, and heat treatment temperature through a bidirectional modification of the 3ω technique. The nanostructures of the individual fibers are characterized with small angle x-ray scattering and Raman spectroscopy providing insight to individual fiber thermal conductivity. Measured thermal conductivity varied from 0.010 W/(m K) to 0.070 W/(m K). An understanding of the intrinsic properties of the individual fibers and the interactions of the two phase composite is used to reconcile low measured thermal conductivities with predictive modeling. This methodology can be more generally applied to a wide range of fiber composite materials and their applications.

  19. The Network Completion Problem: Inferring Missing Nodes and Edges in Networks

    SciTech Connect (OSTI)

    Kim, M; Leskovec, J

    2011-11-14

    Network structures, such as social networks, web graphs and networks from systems biology, play important roles in many areas of science and our everyday lives. In order to study the networks one needs to first collect reliable large scale network data. While the social and information networks have become ubiquitous, the challenge of collecting complete network data still persists. Many times the collected network data is incomplete with nodes and edges missing. Commonly, only a part of the network can be observed and we would like to infer the unobserved part of the network. We address this issue by studying the Network Completion Problem: Given a network with missing nodes and edges, can we complete the missing part? We cast the problem in the Expectation Maximization (EM) framework where we use the observed part of the network to fit a model of network structure, and then we estimate the missing part of the network using the model, re-estimate the parameters and so on. We combine the EM with the Kronecker graphs model and design a scalable Metropolized Gibbs sampling approach that allows for the estimation of the model parameters as well as the inference about missing nodes and edges of the network. Experiments on synthetic and several real-world networks show that our approach can effectively recover the network even when about half of the nodes in the network are missing. Our algorithm outperforms not only classical link-prediction approaches but also the state of the art Stochastic block modeling approach. Furthermore, our algorithm easily scales to networks with tens of thousands of nodes.

  20. Better Buildings Residential Network Reporting and Benefits FAQ

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Reporting and Benefits FAQ, from the U.S. Department of Energy Better Buildings Residential Network.

  1. Better Buildings Residential Network Reporting and Benefits Template

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Reporting and Benefits Template, from the U.S. Department of Energy Better Buildings Residential Network.

  2. Better Buildings Network View | July-August 2014

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  3. On Building Inexpensive Network Capabilities

    SciTech Connect (OSTI)

    Shue, Craig A; Kalafut, Prof. Andrew; Allman, Mark; Taylor, Curtis R

    2011-01-01

    There are many deployed approaches for blocking unwanted traffic, either once it reaches the recipient's network, or closer to its point of origin. One of these schemes is based on the notion of traffic carrying capabilities that grant access to a network and/or end host. However, leveraging capabilities results in added complexity and additional steps in the communication process: Before communication starts a remote host must be vetted and given a capability to use in the subsequent communication. In this paper, we propose a lightweight mechanism that turns the answers provided by DNS name resolution---which Internet communication broadly depends on anyway---into capabilities. While not achieving an ideal capability system, we show the mechanism can be built from commodity technology and is therefore a pragmatic way to gain some of the key benefits of capabilities without requiring new infrastructure.

  4. Better Buildings Network View | December 2014 | Department of Energy

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

    4 Better Buildings Network View | December 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. Better Buildings Network View December 2014 (252.31 KB) More Documents & Publications Better Buildings Network View | February 2014 Better Buildings Network View | November 2014 Lessons Learned: Peer Exchange Calls -- No. 3

  5. Better Buildings Network View | December 2015 | Department of Energy

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

    5 Better Buildings Network View | December 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. Better Buildings Network View December 2015 (191.86 KB) More Documents & Publications BBRN Factsheet: Case Study: Community Engagement Better Buildings Network View | July-August 2015 Better Buildings Residential Network Orientation Webinar

  6. Better Buildings Network View | January 2015 | Department of Energy

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

    5 Better Buildings Network View | January 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. Better Buildings Network View January 2015 (161.17 KB) More Documents & Publications Better Buildings Network View | December 2014 Lessons Learned: Peer Exchange Calls -- No. 3 Better Buildings Network View | May

  7. Membership Criteria: Better Buildings Residential Network | Department of

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

    Energy Membership Criteria: Better Buildings Residential Network Membership Criteria: Better Buildings Residential Network Membership Criteria: Better Buildings Residential Network of the U.S. Department of Energy. Membership Criteria (126.27 KB) More Documents & Publications Better Buildings Residential Network Orientation Better Buildings Residential Network Reporting and Benefits FAQ How Can the Network Meet Your Needs?

  8. AERONET: The Aerosol Robotic Network

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

    The AERONET (AErosol RObotic NETwork) program is a federation of ground-based remote sensing aerosol networks established by NASA and LOA-PHOTONS (CNRS) and is greatly expanded by collaborators from national agencies, institutes, universities, individual scientists, and partners. The program provides a long-term, continuous and readily accessible public domain database of aerosol optical, mircrophysical and radiative properties for aerosol research and characterization, validation of satellite retrievals, and synergism with other databases. The network imposes standardization of instruments, calibration, processing and distribution. AERONET collaboration provides globally distributed observations of spectral aerosol optical Depth (AOD), inversion products, and precipitable water in diverse aerosol regimes. Aerosol optical depth data are computed for three data quality levels: Level 1.0 (unscreened), Level 1.5 (cloud-screened), and Level 2.0 (cloud screened and quality-assured). Inversions, precipitable water, and other AOD-dependent products are derived from these levels and may implement additional quality checks.[Copied from http://aeronet.gsfc.nasa.gov/new_web/system_descriptions.html

  9. Network analysis of proton transfer in liquid water

    SciTech Connect (OSTI)

    Shevchuk, Roman; Rao, Francesco; Agmon, Noam

    2014-06-28

    Proton transfer in macromolecular systems is a fascinating yet elusive process. In the last ten years, molecular simulations have shown to be a useful tool to unveil the atomistic mechanism. Notwithstanding, the large number of degrees of freedom involved make the accurate description of the process very hard even for the case of proton diffusion in bulk water. Here, multi-state empirical valence bond molecular dynamics simulations in conjunction with complex network analysis are applied to study proton transfer in liquid water. Making use of a transition network formalism, this approach takes into account the time evolution of several coordinates simultaneously. Our results provide evidence for a strong dependence of proton transfer on the length of the hydrogen bond solvating the Zundel complex, with proton transfer enhancement as shorter bonds are formed at the acceptor site. We identify six major states (nodes) on the network leading from the special pair to a more symmetric Zundel complex required for transferring the proton. Moreover, the second solvation shell specifically rearranges to promote the transfer, reiterating the idea that solvation beyond the first shell of the Zundel complex plays a crucial role in the process.

  10. An application of neural networks to process and materials control

    SciTech Connect (OSTI)

    Howell, J.A.; Whiteson, R. )

    1991-01-01

    Process control consists of two basic elements: a model of the process and knowledge of the desired control algorithm. In some cases the level of the control algorithm is merely supervisory, as in an alarm-reporting or anomaly-detection system. If the model of the process is known, then a set of equations may often be solved explicitly to provide the control algorithm. Otherwise, the model has to be discovered through empirical studies. Neural networks have properties that make them useful in this application. The problems of anomaly detection in nuclear materials control systems fits well into this general control framework. To successfully model a process with a neutral network, a good set of observable must be chosen. These observable just in some sense adequately span the space of representable events, so that a signature metric can be built for normal operation. In this way, a non-normal event, one that does not fit within the signature, can be detected. In this paper, the authors discuss the issues involved in applying a neural network model to anomaly detection in materials control systems.

  11. CX-010375: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Replace Existing Firehouse CX(s) Applied: B1.15 Date: 09/20/2011 Location(s): California Offices(s): Berkeley Site Office

  12. FE Categorical Exclusions | Department of Energy

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

    8, 2011 CX-006459: Categorical Exclusion Determination Analytical Physics - Transmission Electron Microscopy (TEM) CX(s) Applied: B3.6 Date: 08082011 Location(s): Albany, Oregon...

  13. CX-012231: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  14. CX-009515: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Tide Creek Property Funding CX(s) Applied: B1.25 Date: 11/08/2012 Location(s): Oregon Offices(s): Bonneville Power Administration

  15. CX-011215: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Nepese Marsh Upgrades CX(s) Applied: B2.5 Date: 10/17/2013 Location(s): Illinois Offices(s): Fermi Site Office

  16. CX-012606: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Preparing of Environmental Samples for Analysis CX(s) Applied: B3.6Date: 41810 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  17. CX-012581: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Demolition of Outfall Sampling Station CX(s) Applied: B1.23Date: 41844 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  18. CX-012572: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    H-Area Vehicle Barrier Installation CX(s) Applied: B1.15Date: 41862 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  19. CX-012566: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  20. CX-012628: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Deactivation and Decommissioning of 711-L CX(s) Applied: B1.23Date: 41793 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  1. CX-012559: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Seal Access Plugs at 105-C CX(s) Applied: B1.3Date: 41872 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  2. CX-012587: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    HB-Line Security Upgrades CX(s) Applied: B1.3Date: 41835 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  3. CX-011194: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Particle Physics Division Outback Garage CX(s) Applied: B1.15 Date: 09/19/2013 Location(s): Illinois Offices(s): Fermi Site Office

  4. CX-010195: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Polymer Synthesis Lab - Modification CX(s) Applied: B3.6 Date: 04/15/2013 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  5. CX-010241: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hydrogen Pathway Analyses CX(s) Applied: A9 Date: 02/28/2013 Location(s): Virginia Offices(s): Golden Field Office

  6. CX-012310: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  7. CX-012437: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    High Energy Density Lithium Battery CX(s) Applied: B3.6Date: 41878 Location(s): New YorkOffices(s): National Energy Technology Laboratory

  8. CX-012028: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    High Temperature Laboratory CX(s) Applied: B3.6 Date: 04/21/2014 Location(s): Oregon Offices(s): National Energy Technology Laboratory

  9. CX-011538: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Ninemile Creek Lower Property Funding CX(s) Applied: B1.25 Date: 11/26/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  10. CX-011536: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Aeneans Creek Spring Property Funding CX(s) Applied: B1.25 Date: 11/25/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  11. CX-011537: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Wanacut Creek Upper Property Funding CX(s) Applied: B1.25 Date: 11/26/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  12. CX-012793: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    15-Minute Transmission Scheduling CX(s) Applied: B4.4, B4.5Date: 41933 Location(s): WashingtonOffices(s): Bonneville Power Administration

  13. CX-012110: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  14. CX-009707: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Alcoa Power Sales Contract CX(s) Applied: B4.1 Date: 12/04/2012 Location(s): Oregon, Washington Offices(s): Bonneville Power Administration

  15. CX-009513: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  16. CX-013632: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Alcoa Power Sales Contract Amendment CX(s) Applied: B4.11Date: 04/23/2015 Location(s): WashingtonOffices(s): Bonneville Power Administration

  17. CX-008989: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    State Energy Program CX(s) Applied: A9, A11 Date: 08/27/2012 Location(s): Kansas Offices(s): Golden Field Office

  18. CX-008144: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  19. CX-011564: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  20. CX-012705: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  1. CX-012725: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  2. CX-013825: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Lab A19 Cleanroom Construction CX(s) Applied: B1.31Date: 06/29/2015 Location(s): IdahoOffices(s): Nuclear Energy

  3. CX-014183: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Heyburn Substation Door Replacement CX(s) Applied: B4.6Date: 09/03/2015 Location(s): IdahoOffices(s): Bonneville Power Administration

  4. CX-009398: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  5. CX-014379: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Ouagga Mussel Study Funding CX(s) Applied: B3.16Date: 10/29/2015 Location(s): NevadaOffices(s): Bonneville Power Administration

  6. CX-012822: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Santiam-Toledo Structure 39/7 Replacement CX(s) Applied: B1.3Date: 41876 Location(s): OregonOffices(s): Bonneville Power Administration

  7. CX-012799: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  8. CX-012805: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  9. CX-013386: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Chemical Vapor Deposition CX(s) Applied: B3.6Date: 01/07/2015 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  10. CX-008724: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Rexburg Bus Lot Lease Termination CX(s) Applied: B1.24 Date: 07/05/2012 Location(s): Idaho Offices(s): Idaho Operations Office

  11. CX-012283: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    USC Autoclave CX(s) Applied: B3.6 Date: 06/14/2014 Location(s): Oregon Offices(s): National Energy Technology Laboratory

  12. CX-007853: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Arizona Rooftop Challenge (ARC) CX(s) Applied: A9, A11 Date: 01/27/2012 Location(s): Arizona Offices(s): Golden Field Office

  13. CX-007864: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Broward County SOLAR Project CX(s) Applied: A9, A11 Date: 01/27/2012 Location(s): Florida Offices(s): Golden Field Office

  14. CX-012640: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Lexington-Longview #1 Access Road Maintenance CX(s) Applied: B1.3Date: 41865 Location(s): WashingtonOffices(s): Bonneville Power Administration

  15. CX-011065: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Midwest Region Alternative Fuels Project CX(s) Applied: A1 Date: 08/29/2013 Location(s): Kansas Offices(s): National Energy Technology Laboratory

  16. CX-011788: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    I-75 Green Corridor Project CX(s) Applied: A1 Date: 02/10/2014 Location(s): Tennessee Offices(s): National Energy Technology Laboratory

  17. CX-007497: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Clean Energy Coalition - Michigan Green Fleets CX(s) Applied: A1 Date: 12/06/2011 Location(s): Michigan Offices(s): National Energy Technology Laboratory

  18. CX-010938: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Midwest Region Alternative Fuels Project CX(s) Applied: A1 Date: 09/17/2013 Location(s): Kansas, Kansas Offices(s): National Energy Technology Laboratory

  19. CX-011271: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Idaho Petroleum Reduction Leadership Project CX(s) Applied: A1 Date: 09/30/2013 Location(s): Idaho Offices(s): National Energy Technology Laboratory

  20. CX-010514: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Center for Nanoscale Energy CX(s) Applied: B3.6 Date: 06/24/2013 Location(s): North Dakota Offices(s): Golden Field Office