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 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 ...

  20. 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 ...

  1. 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...

  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-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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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 ...

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  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. 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 ...

  19. 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 ...

  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 | 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...

  11. 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. ...

  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. 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

  15. 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

  16. 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

  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. 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),

  3. 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

  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 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...

  14. 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...

  15. 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 ...

  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. 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

  20. 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

  1. 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.

  2. 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.

  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. 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...

  7. 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...

  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. 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.

  11. 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.

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  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. 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 ...

  6. 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 ...

  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. 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...

  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. 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.

  11. 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 ...

  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. 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

  14. 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.

  15. 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.

  16. 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

  17. 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...

  18. 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 ...

  19. 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.

  20. 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.

  1. (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.

  2. 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.

  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. 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.

  7. 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

  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. 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 ...

  11. 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...

  12. 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...

  13. 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...

  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. 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 ...

  16. 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 ...

  17. 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.,

  18. 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,

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  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. 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:...

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  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. 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.

  11. 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.

  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. 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,...

  19. 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 ...

  20. 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...

  1. 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 ...

  2. 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 ...

  3. 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 ...

  4. 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 ...

  5. 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

  6. 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 ...

  7. 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.

  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. 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.

  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