Sample records for manager input validation

  1. V-192: Symantec Security Information Manager Input Validation...

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

    Input Validation Flaws U-129: RSA enVision Bugs Permit Cross-Site Scripting, SQL Injection, and Directory Traversal Attacks T-731:Symantec IM Manager Code Injection Vulnerability...

  2. U-270:Trend Micro Control Manager Input Validation Flaw in Ad...

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

    0:Trend Micro Control Manager Input Validation Flaw in Ad Hoc Query Module Lets Remote Users Inject SQL Commands U-270:Trend Micro Control Manager Input Validation Flaw in Ad Hoc...

  3. U-238: HP Service Manager Input Validation Flaw Permits Cross...

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

    9.21, 9.30 ABSTRACT: Cross-site scripting (XSS) vulnerability in HP Service Manager Web Tier 7.11, 9.21, and 9.30, and HP Service Center Web Tier 6.28, allows remote attackers...

  4. V-139: Cisco Network Admission Control Input Validation Flaw...

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

    Sensitive Information U-270:Trend Micro Control Manager Input Validation Flaw in Ad Hoc Query Module Lets Remote Users Inject SQL Commands U-015: CiscoWorks Common...

  5. U-229: HP Network Node Manager i Input Validation Flaw Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    Potential security vulnerabilities have been identified with HP Network Node Manager i (NNMi) for HP-UX, Linux, Solaris, and Windows. The vulnerabilities could be remotely exploited resulting in cross site scripting (XSS).

  6. U-204: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    Potential security vulnerabilities have been identified with HP Network Node Manager I (NNMi) for HP-UX, Linux, Solaris, and Windows. The vulnerabilities could be remotely exploited resulting in cross site scripting (XSS).

  7. U-238: HP Service Manager Input Validation Flaw Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    Cross-site scripting (XSS) vulnerability in HP Service Manager Web Tier 7.11, 9.21, and 9.30, and HP Service Center Web Tier 6.28, allows remote attackers to inject arbitrary web script or HTML via unspecified vectors.

  8. T-602: BlackBerry Enterprise Server Input Validation Flaw in...

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

    02: BlackBerry Enterprise Server Input Validation Flaw in BlackBerry Web Desktop Manager Permits Cross-Site Scripting Attacks T-602: BlackBerry Enterprise Server Input Validation...

  9. U-252: Barracuda Web Filter Input Validation Flaws Permit Cross...

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

    2: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks U-252: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks September...

  10. T-623: HP Business Availability Center Input Validation Hole...

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

    3: HP Business Availability Center Input Validation Hole Permits Cross-Site Scripting Attacks T-623: HP Business Availability Center Input Validation Hole Permits Cross-Site...

  11. U-147:Red Hat Enterprise MRG Grid Input Validation Flaw

    Broader source: Energy.gov [DOE]

    The MRG Management Console (Cumin) does not properly filter HTML code from user-supplied input before displaying the input.

  12. U-219: Symantec Web Gateway Input Validation Flaws Lets Remote...

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

    9: Symantec Web Gateway Input Validation Flaws Lets Remote Users Inject SQL Commands, Execute Arbitrary Commands, and Change User Passwords U-219: Symantec Web Gateway Input...

  13. V-193: Barracuda SSL VPN Input Validation Hole Permits Cross...

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

    2.3.3.216 Addthis Related Articles U-252: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks U-144:Juniper Secure Access Input Validation Flaw Permits...

  14. U-144:Juniper Secure Access Input Validation Flaw Permits Cross...

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

    The vendor has issued a fix (7.0R9, 7.1R). Addthis Related Articles V-193: Barracuda SSL VPN Input Validation Hole Permits Cross-Site Scripting Attacks T-701: Citrix Access...

  15. The SCALE Verified, Archived Library of Inputs and Data - VALID

    SciTech Connect (OSTI)

    Marshall, William BJ J [ORNL] [ORNL; Rearden, Bradley T [ORNL] [ORNL

    2013-01-01T23:59:59.000Z

    The Verified, Archived Library of Inputs and Data (VALID) at ORNL contains high quality, independently reviewed models and results that improve confidence in analysis. VALID is developed and maintained according to a procedure of the SCALE quality assurance (QA) plan. This paper reviews the origins of the procedure and its intended purpose, the philosophy of the procedure, some highlights of its implementation, and the future of the procedure and associated VALID library. The original focus of the procedure was the generation of high-quality models that could be archived at ORNL and applied to many studies. The review process associated with model generation minimized the chances of errors in these archived models. Subsequently, the scope of the library and procedure was expanded to provide high quality, reviewed sensitivity data files for deployment through the International Handbook of Evaluated Criticality Safety Benchmark Experiments (IHECSBE). Sensitivity data files for approximately 400 such models are currently available. The VALID procedure and library continue fulfilling these multiple roles. The VALID procedure is based on the quality assurance principles of ISO 9001 and nuclear safety analysis. Some of these key concepts include: independent generation and review of information, generation and review by qualified individuals, use of appropriate references for design data and documentation, and retrievability of the models, results, and documentation associated with entries in the library. Some highlights of the detailed procedure are discussed to provide background on its implementation and to indicate limitations of data extracted from VALID for use by the broader community. Specifically, external users of data generated within VALID must take responsibility for ensuring that the files are used within the QA framework of their organization and that use is appropriate. The future plans for the VALID library include expansion to include additional experiments from the IHECSBE, to include experiments from areas beyond criticality safety, such as reactor physics and shielding, and to include application models. In the future, external SCALE users may also obtain qualification under the VALID procedure and be involved in expanding the library. The VALID library provides a pathway for the criticality safety community to leverage modeling and analysis expertise at ORNL.

  16. V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site...

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

    9: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting Attacks V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting Attacks August 28, 2013 -...

  17. V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting...

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

    8: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks May 31, 2013 - 6:00am Addthis...

  18. V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting...

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

    4: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks April 2, 2013 - 1:13am Addthis...

  19. T-670: Skype Input Validation Flaw in 'mobile phone' Profile...

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

    The software does not properly filter HTML code from user-supplied input in the The "mobile phone" profile entry before displaying the input. reference LINKS: SecurityTracker...

  20. U-139: IBM Tivoli Directory Server Input Validation Flaw | Department...

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

    can conduct cross-site scripting attacks PLATFORM: Version(s): 6.2, 6.3 ABSTRACT: The Web Admin Tool does not properly filter HTML code from user-supplied input before...

  1. V-150: Apache VCL Input Validation Flaw Lets Remote Authenticated...

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

    Tomcat FORM Authenticator Lets Remote Users Conduct Session Fixation Attacks U-084: Cisco Digital Media Manager Lets Remote Authenticated Users Gain Elevated Privileges U-233:...

  2. U-255: Apache Wicket Input Validation Flaw Permits Cross-Site...

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

    Input Validation Flaw Permits Cross-Site Scripting Attacks PLATFORM: Apache Software Foundation Apache Wicket 1.5.5 Apache Software Foundation Apache Wicket 1.5-RC5.1 Apache...

  3. U-195: PHPlist Input Validation Flaws Permit Cross-Site Scripting and SQL Injection Attacks

    Broader source: Energy.gov [DOE]

    The 'public_html/lists/admin' pages do not properly validate user-supplied input in the 'sortby' parameter [CVE-2012-2740]. A remote authenticated administrative user can supply a specially crafted parameter value to execute SQL commands on the underlying database.

  4. T-693: Symantec Endpoint Protection Manager Input Validation Hole Permits

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage »of Energy StrainClient update resolve multiple |DepartmentCross-Site

  5. V-192: Symantec Security Information Manager Input Validation Flaws Permit

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists' Research Petroleum ReserveDepartmentScripting AttacksThere isAttacksService

  6. T-623: HP Business Availability Center Input Validation Hole Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    The software does not properly filter HTML code from user-supplied input before displaying the input.

  7. U-050: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    Flex applications created using the Flex SDK may not properly filter HTML code from user-supplied input before displaying the input.

  8. FACILITIES INFORMATION MANAGEMENT SYSTEM (FIMS) DATA VALIDATION...

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

    not scored xii) Year Acquired - Validated not scored xiii) Disposition Date (Archived data) xiv) Disposition Method (Archived data) xv) Net Proceeds (Archived data) b) The...

  9. T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    The software does not properly filter HTML code from user-supplied input in the The "mobile phone" profile entry before displaying the input.

  10. A data management system, using the KNMI NADC-framework, for input and storage of CESAR data and metadata.

    E-Print Network [OSTI]

    Haak, Hein

    A data management system, using the KNMI NADC-framework, for input and storage of CESAR data a data management system to store metadata and Netcdf files with a web portal to browse and download this data. Success Stories RESEARCH & DEVELOPMENT "Innovation, Knowledge- and Project Management" Business

  11. Data Management Plan for The Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation Project

    Broader source: Energy.gov [DOE]

    The Data Management Plan describes how DOE will handle data submitted by recipients as deliverables under the Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation Project.

  12. U-001:Symantec IM Manager Input Validation Flaws | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage »of EnergyTheTwo New Energy Storage6 (07/03) OMB Control No.NREL i s a

  13. http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1829&pid=1824&topicname=Merge_(Data_Management) Merge Combines input features from multiple input sources (of the same datatype) into a single,

    E-Print Network [OSTI]

    Brownstone, Rob

    http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1829&pid=1824&topicname://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1829&pid=1824&topicname=Merge_(Data_Management) Parameters: Input Datasets

  14. Validation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism inS-4500II FieldVacancy-Induced NanoscaleValidatingValidation in

  15. Validating

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism inS-4500II FieldVacancy-Induced Nanoscale WireSchneiderValidating

  16. Airspace Management Decision Tool Validating the Behavior and Structure of Software Design

    E-Print Network [OSTI]

    Austin, Mark

    ..................................................................................................34 LTSA Code ...........................................................................................................36 MATLAB Validation with LTSA--50 iterations ...................................................37

  17. Bio/Pharmaceutical Facilities, Operations and Validation Technician/Manager Open Applicant Pool

    E-Print Network [OSTI]

    Stephens, Graeme L.

    maintenance, equipment installation, operation, and performance qualification. Being on call and setting upMARC's equipment. Responsible for the conforming calibration, qualification and validation status of equipment to affected departments during qualification, routine maintenance or unplanned maintenance of equipment

  18. Model Validation Status Review

    SciTech Connect (OSTI)

    E.L. Hardin

    2001-11-28T23:59:59.000Z

    The primary objective for the Model Validation Status Review was to perform a one-time evaluation of model validation associated with the analysis/model reports (AMRs) containing model input to total-system performance assessment (TSPA) for the Yucca Mountain site recommendation (SR). This review was performed in response to Corrective Action Request BSC-01-C-01 (Clark 2001, Krisha 2001) pursuant to Quality Assurance review findings of an adverse trend in model validation deficiency. The review findings in this report provide the following information which defines the extent of model validation deficiency and the corrective action needed: (1) AMRs that contain or support models are identified, and conversely, for each model the supporting documentation is identified. (2) The use for each model is determined based on whether the output is used directly for TSPA-SR, or for screening (exclusion) of features, events, and processes (FEPs), and the nature of the model output. (3) Two approaches are used to evaluate the extent to which the validation for each model is compliant with AP-3.10Q (Analyses and Models). The approaches differ in regard to whether model validation is achieved within individual AMRs as originally intended, or whether model validation could be readily achieved by incorporating information from other sources. (4) Recommendations are presented for changes to the AMRs, and additional model development activities or data collection, that will remedy model validation review findings, in support of licensing activities. The Model Validation Status Review emphasized those AMRs that support TSPA-SR (CRWMS M&O 2000bl and 2000bm). A series of workshops and teleconferences was held to discuss and integrate the review findings. The review encompassed 125 AMRs (Table 1) plus certain other supporting documents and data needed to assess model validity. The AMRs were grouped in 21 model areas representing the modeling of processes affecting the natural and engineered barriers, plus the TSPA model itself Description of the model areas is provided in Section 3, and the documents reviewed are described in Section 4. The responsible manager for the Model Validation Status Review was the Chief Science Officer (CSO) for Bechtel-SAIC Co. (BSC). The team lead was assigned by the CSO. A total of 32 technical specialists were engaged to evaluate model validation status in the 21 model areas. The technical specialists were generally independent of the work reviewed, meeting technical qualifications as discussed in Section 5.

  19. T-648: Avaya IP Office Manager TFTP Server Lets Remote Users Traverse the Directory

    Broader source: Energy.gov [DOE]

    The software does not properly validate user-supplied input. A remote user can supply a specially crafted request to view files on target system running the IP Office Manager software.

  20. Automatic input rectification

    E-Print Network [OSTI]

    Long, Fan

    We present a novel technique, automatic input rectification, and a prototype implementation, SOAP. SOAP learns a set of constraints characterizing typical inputs that an application is highly likely to process correctly. ...

  1. Automatic Input Rectification

    E-Print Network [OSTI]

    Long, Fan

    2011-10-03T23:59:59.000Z

    We present a novel technique, automatic input rectification, and a prototype implementation called SOAP. SOAP learns a set of constraints characterizing typical inputs that an application is highly likely to process ...

  2. TART input manual

    SciTech Connect (OSTI)

    Kimlinger, J.R.; Plechaty, E.F.

    1982-04-01T23:59:59.000Z

    The TART code is a Monte Carlo neutron/photon transport code that is only on the CRAY computer. All the input cards for the TART code are listed, and definitions for all input parameters are given. The execution and limitations of the code are described, and input for two sample problems are given. (WHK)

  3. Meats & Products Agricultural Inputs

    E-Print Network [OSTI]

    Collett Jr., Jeffrey L.

    Meats & Products Agricultural Inputs Processing Idaho B20 C C B Meats and Livestock Products Index to agriculture? Legend Overall weighted grade Weighted rank Northwest Midwest Southwest East Meats & ProductsProcessingessing Maine B11 B A A Meats & Products Agricultural Inputs Processing New York F49 F F F soductsoducts

  4. SRS Interface Input

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

    Interface Input 1. MOA's: The contractor has no MOA's in effect at the Tritium Operations (SRTO) level. 2. AIP's: The contractor has no AIP's in effect at the SRTO level. 3....

  5. Reviews and Validations | Department of Energy

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

    Reviews and Validations Reviews and Validations External Independent Review (EIR) Procedures Under DOE O 413.3B, Program and Project Management for the Acquisition of Capital...

  6. Independent Verification and Validation Of SAPHIRE 8 Software Configuration Management Plan Project Number: N6423 U.S. Nuclear Regulatory Commission

    SciTech Connect (OSTI)

    Kent Norris

    2009-10-01T23:59:59.000Z

    The purpose of the Independent Verification and Validation (IV&V) role in the evaluation of the SAPHIRE configuration management is to assess the activities that results in the process of identifying and defining the baselines associated with the SAPHIRE software product; controlling the changes to baselines and release of baselines throughout the life cycle; recording and reporting the status of baselines and the proposed and actual changes to the baselines; and verifying the correctness and completeness of baselines.. The IV&V team began this endeavor after the software engineering and software development of SAPHIRE had already been in production.

  7. Independent Verification and Validation Of SAPHIRE 8 Software Configuration Management Plan Project Number: N6423 U.S. Nuclear Regulatory Commission

    SciTech Connect (OSTI)

    Kent Norris

    2010-02-01T23:59:59.000Z

    The purpose of the Independent Verification and Validation (IV&V) role in the evaluation of the SAPHIRE configuration management is to assess the activities that results in the process of identifying and defining the baselines associated with the SAPHIRE software product; controlling the changes to baselines and release of baselines throughout the life cycle; recording and reporting the status of baselines and the proposed and actual changes to the baselines; and verifying the correctness and completeness of baselines.. The IV&V team began this endeavor after the software engineering and software development of SAPHIRE had already been in production.

  8. T-546: Microsoft MHTML Input Validation Hole May Permit Cross...

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

    vulnerability to allow an attacker to inject a client-side script in the response of a Web request run in the context of the victim's Internet Explorer. The script could spoof...

  9. Spatial Statistical Procedures to Validate Input Data in Energy Models

    SciTech Connect (OSTI)

    Johannesson, G.; Stewart, J.; Barr, C.; Brady Sabeff, L.; George, R.; Heimiller, D.; Milbrandt, A.

    2006-01-01T23:59:59.000Z

    Energy modeling and analysis often relies on data collected for other purposes such as census counts, atmospheric and air quality observations, economic trends, and other primarily non-energy related uses. Systematic collection of empirical data solely for regional, national, and global energy modeling has not been established as in the abovementioned fields. Empirical and modeled data relevant to energy modeling is reported and available at various spatial and temporal scales that might or might not be those needed and used by the energy modeling community. The incorrect representation of spatial and temporal components of these data sets can result in energy models producing misleading conclusions, especially in cases of newly evolving technologies with spatial and temporal operating characteristics different from the dominant fossil and nuclear technologies that powered the energy economy over the last two hundred years. Increased private and government research and development and public interest in alternative technologies that have a benign effect on the climate and the environment have spurred interest in wind, solar, hydrogen, and other alternative energy sources and energy carriers. Many of these technologies require much finer spatial and temporal detail to determine optimal engineering designs, resource availability, and market potential. This paper presents exploratory and modeling techniques in spatial statistics that can improve the usefulness of empirical and modeled data sets that do not initially meet the spatial and/or temporal requirements of energy models. In particular, we focus on (1) aggregation and disaggregation of spatial data, (2) predicting missing data, and (3) merging spatial data sets. In addition, we introduce relevant statistical software models commonly used in the field for various sizes and types of data sets.

  10. Using Options to Hedge Farm and Ranch Inputs

    E-Print Network [OSTI]

    Anderson, David P.; McCorkle, Dean; Schwart Jr., Robert B.; O'Brien, Daniel

    1999-09-29T23:59:59.000Z

    A call option is a pricing tool that helps producers manage the price risks associated with farm and ranch inputs. This publication offers a thorough explanation of the way call options work. It includes various strategies producers might use...

  11. Object-Oriented Database for Managing Building Modeling Components and Metadata: Preprint

    SciTech Connect (OSTI)

    Long, N.; Fleming, K.; Brackney, L.

    2011-12-01T23:59:59.000Z

    Building simulation enables users to explore and evaluate multiple building designs. When tools for optimization, parametrics, and uncertainty analysis are combined with analysis engines, the sheer number of discrete simulation datasets makes it difficult to keep track of the inputs. The integrity of the input data is critical to designers, engineers, and researchers for code compliance, validation, and building commissioning long after the simulations are finished. This paper discusses an application that stores inputs needed for building energy modeling in a searchable, indexable, flexible, and scalable database to help address the problem of managing simulation input data.

  12. Validating Energy Measures

    E-Print Network [OSTI]

    Chari, S.; Thomas, D.

    13-14, 1994 Table 1 _. Measurement Schedule Description Type of Measurement Tool Raw Material Input Throughput rate Company hourly record Product Output Throughput rale Company hourly record Extruder Drive Demand and Energy kW and kWh meter... MEASUREMENTS The energy measurements are as important to a business decision maker as valid news sources are to the chief editor of a newspaper. The energy measurements become all the more important in industrial audits because of the following...

  13. FULL FUEL CYCLE ASSESSMENT WELL TO WHEELS ENERGY INPUTS,

    E-Print Network [OSTI]

    FULL FUEL CYCLE ASSESSMENT WELL TO WHEELS ENERGY INPUTS, EMISSIONS, AND WATER IMPACTS Preparation for the AB 1007 (Pavley) Alternative Transportation Fuels Plan Proceeding Prepared For: California Energy, Project Manager Ray Tuvell, Manager EMERGING FUELS & TECHNOLOGY OFFICE Rosella Shapiro, Deputy Director

  14. Verification and validation benchmarks.

    SciTech Connect (OSTI)

    Oberkampf, William Louis; Trucano, Timothy Guy

    2007-02-01T23:59:59.000Z

    Verification and validation (V&V) are the primary means to assess the accuracy and reliability of computational simulations. V&V methods and procedures have fundamentally improved the credibility of simulations in several high-consequence fields, such as nuclear reactor safety, underground nuclear waste storage, and nuclear weapon safety. Although the terminology is not uniform across engineering disciplines, code verification deals with assessing the reliability of the software coding, and solution verification deals with assessing the numerical accuracy of the solution to a computational model. Validation addresses the physics modeling accuracy of a computational simulation by comparing the computational results with experimental data. Code verification benchmarks and validation benchmarks have been constructed for a number of years in every field of computational simulation. However, no comprehensive guidelines have been proposed for the construction and use of V&V benchmarks. For example, the field of nuclear reactor safety has not focused on code verification benchmarks, but it has placed great emphasis on developing validation benchmarks. Many of these validation benchmarks are closely related to the operations of actual reactors at near-safety-critical conditions, as opposed to being more fundamental-physics benchmarks. This paper presents recommendations for the effective design and use of code verification benchmarks based on manufactured solutions, classical analytical solutions, and highly accurate numerical solutions. In addition, this paper presents recommendations for the design and use of validation benchmarks, highlighting the careful design of building-block experiments, the estimation of experimental measurement uncertainty for both inputs and outputs to the code, validation metrics, and the role of model calibration in validation. It is argued that the understanding of predictive capability of a computational model is built on the level of achievement in V&V activities, how closely related the V&V benchmarks are to the actual application of interest, and the quantification of uncertainties related to the application of interest.

  15. FIMS Data Validation | Department of Energy

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

    FIMS Data Validation The Facility Information Management System (FIMS) is the Department's official repository of real property data. The Department relies on the FIMS data for...

  16. Quality assurance of solar thermal systems with the ISFH-Input/Output-Procedure

    E-Print Network [OSTI]

    Quality assurance of solar thermal systems with the ISFH- Input/Output-Procedure Peter Paerisch different solar systems. The simulation model was validated with measured data. The deviation between meas * Tel. +49 (0)5151-999503, Fax: +49 (0)5151-999500, Email: paerisch@isfh.de Abstract Input/Output

  17. Resources Abstracts Input Transaction Form

    E-Print Network [OSTI]

    District of Columbia, University of the

    #12;Resources Abstracts Input Transaction Form 4. Title 5. Report Date 6.Urban Aquaculture Covered The University of the District of Columbia 12. Sponsoring Organization Water Resources Research of the rainbow trout (Salmo gairdneri) in a closed recycling water system in an urban environment is described

  18. Criticality Safety Validation of SCALE 6.1 with ENDF/B-VII.0 Libraries

    SciTech Connect (OSTI)

    Marshall, William BJ J [ORNL] [ORNL; Rearden, Bradley T [ORNL] [ORNL

    2012-01-01T23:59:59.000Z

    ANSI/ANS-8.1-1998;2007, Nuclear Criticality Safety in Operations with Fissionable Material Outside Reactors, and ANSI/ANS-8.24-2007, Validation of Neutron Transport Methods for Nuclear Criticality Safety Calculations, require validation of a computer code and the associated data through benchmark evaluations based on physical experiments. The performance of the code and data are validated by comparing the calculated and the benchmark results. A SCALE procedure has been established to generate a Verified, Archived Library of Inputs and Data (VALID). This procedure provides a framework for preparing, peer reviewing, and controlling models and data sets derived from benchmark definitions so that the models and data can be used with confidence. The procedure ensures that the models and data were correctly generated using appropriate references with documented checks and reviews. Configuration management is implemented to prevent inadvertent modification of the models and data or inclusion of models that have not been subjected to the rigorous review process. VALID entries for criticality safety are based on critical experiments documented in the International Handbook of Evaluated Criticality Safety Benchmark Experiments (IHECSBE). The findings of a criticality safety validation of SCALE 6.1 utilizing the benchmark models vetted in the VALID library at Oak Ridge National Laboratory are summarized here.

  19. SANSMIC Validation.

    SciTech Connect (OSTI)

    Weber, Paula D.; Rudeen, David Keith; Lord, David

    2014-08-01T23:59:59.000Z

    SANSMIC is solution mining software that was developed and utilized by SNL in its role as geotechnical advisor to the US DOE SPR for planning purposes. Three SANSMIC leach modes - withdrawal, direct, and reverse leach - have been revalidated with multiple test cases for each mode. The withdrawal mode was validated using high quality data from recent leach activity while the direct and reverse modes utilized data from historical cavern completion reports. Withdrawal results compared very well with observed data, including the location and size of shelves due to string breaks with relative leached volume differences ranging from 6 - 10% and relative radius differences from 1.5 - 3%. Profile comparisons for the direct mode were very good with relative leached volume differences ranging from 6 - 12% and relative radius differences from 5 - 7%. First, second, and third reverse configurations were simulated in order to validate SANSMIC over a range of relative hanging string and OBI locations. The first-reverse was simulated reasonably well with relative leached volume differences ranging from 1 - 9% and relative radius differences from 5 - 12%. The second-reverse mode showed the largest discrepancies in leach profile. Leached volume differences ranged from 8 - 12% and relative radius differences from 1 - 10%. In the third-reverse, relative leached volume differences ranged from 10 - 13% and relative radius differences were ~4 %. Comparisons to historical reports were quite good, indicating that SANSMIC is essentially the same as documented and validated in the early 1980's.

  20. Balance of Plant (BoP) Components Validation for Fuel Cells

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

    Balance of Plant (BoP) Components Validation for Fuel Cells Balsu Lakshmanan - General Motors Input from: Andrew Bosco, Craig Gittleman, Todd Vest & others. Outline * System...

  1. Certifying Industrial Energy Efficiency Performance: Aligning Management, Measurement, and Practice to Create Market Value

    E-Print Network [OSTI]

    McKane, Aimee; Scheihing, Paul; Williams, Robert

    2008-01-01T23:59:59.000Z

    knowledge concerning energy management best practices andapplying and validating energy management best practices inan international industrial energy management standard that

  2. Guidance for FY2014 Facilities Information Management System...

    Office of Environmental Management (EM)

    Guidance for FY2014 Facilities Information Management System Data Validations Guidance for FY2014 Facilities Information Management System Data Validations FY 2014 FIMS Data...

  3. Code input alternatives John C. Wright

    E-Print Network [OSTI]

    Wright, John C.

    Code input alternatives John C. Wright John Wright Oct 2009 ­ CSWIM Workshop@ORNL Extensible markup

  4. Quality assurance with the ISFH-Input/Output-Procedure 6-year-experience with 14 solar thermal systems

    E-Print Network [OSTI]

    Quality assurance with the ISFH-Input/Output-Procedure 6-year-experience with 14 solar thermal the confidence in solar thermal energy. The so called Input/Output-Procedure is controlling the solar heat systems. The simulation model was validated with measured data and a lot of failures in 11 solar thermal

  5. US Nuclear Regulatory Commission Input to DOE Request for Information...

    Energy Savers [EERE]

    US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart...

  6. Weather Forecast Data an Important Input into Building Management Systems

    E-Print Network [OSTI]

    Poulin, L.

    2013-01-01T23:59:59.000Z

    it can generate as much or more energy that it needs ? Building activities need N kWhrs per day (solar panels, heating, etc) ? Harvested from solar panels & passive solar. Amount depends on weather ? NWP models forecast DSWRF @ surface (MJ/m2... contract work Saturday Would you plan work for Saturday? Not much detail for Saturday and Sunday With more info could be easier to decide go, no go From deterministic to probabilistic ? Forecast presented as a single scenario ? One scenario presented...

  7. Letter: Incorporation of Input from the Environmental Management SSAB into

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG | DepartmentEnergy InvitationLegal andRegulatoryFunding for EMSSABs

  8. Generation of RTL verification input stimulus

    E-Print Network [OSTI]

    Selvarathinam, Anand Manivannan

    2001-01-01T23:59:59.000Z

    This thesis presents an approach for generating input stimulus for verification of register-transfer level (RTL) design of VLSI circuits. RTL design is often subjected to a significant verification effort due to errors introduced during manual...

  9. Evaluation of boolean formulas with restricted inputs

    E-Print Network [OSTI]

    Zhan, Bohua

    2010-01-01T23:59:59.000Z

    In this thesis, I will investigate the running time of quantum algorithms for evaluating boolean functions when the input is promised to satisfy certain conditions. The two quantum algorithms considered in this paper are ...

  10. An Empirical Study on Categorizing User Input Parameters for User Inputs Reuse

    E-Print Network [OSTI]

    Zou, Ying

    An Empirical Study on Categorizing User Input Parameters for User Inputs Reuse Shaohua Wang1 , Ying, Kingston, Canada {ying.zou, bipin.upadhyaya, iman.keivanloo}@queensu.ca 3 CAS Research, IBM Canada Software;2 Shaohua Wang, Ying Zou, Bipin Upadhyaya, Iman Keivanloo, Joanna Ng website, and the Homes 5 , a real

  11. SWAT 2012 Input/Output Documentation

    E-Print Network [OSTI]

    Arnold, J.G.; Kiniry, J.R.; Srinivasan, R.; Williams, J.R.; Haney, E.B.; Neitsch, S.L.

    2013-03-04T23:59:59.000Z

    The Soil and Water Assessment Tool (SWAT) is a comprehensive model that requires a diversity of information in order to run. Novice users may feel overwhelmed by the variety and number of inputs when they first begin to use the model. This document...

  12. Contractive Systems with Inputs Eduardo D. Sontag

    E-Print Network [OSTI]

    Sontag, Eduardo

    Contractive Systems with Inputs Eduardo D. Sontag Dedicated to Y. Yamamoto on the occasion of his 60th birthday Abstract. Contraction theory provides an elegant way of analyzing the behaviors-contained introduction to some basic results, with a focus on contractions with respect to non-Euclidean metrics. 1

  13. Gravity Transform for Input Conditioning in

    E-Print Network [OSTI]

    Paiva, António R. C.

    Gravity Transform for Input Conditioning in Brain Machine Interfaces António R. C. Paiva, José C. Motivation 2. Methods i. Gravity Transform ii. Modeling and output sensitivity analysis 3. Data Analysis #12;3 Outline 1. Motivation 2. Methods i. Gravity Transform ii. Modeling and output sensitivity analysis 3. Data

  14. Green Computing input for better outcomes

    E-Print Network [OSTI]

    Amir, Yair

    Journal Profile: Udi Dahan Green Maturity Model for Virtualization Profiling Energy Usage for Efficient suggests that tracking energy consumption at every level will become the factor of success for greenGreen Computing input for better outcomes Learn the discipline, pursue the art, and contribute

  15. Watfactory Virtual Manufacturing Process Varying Inputs

    E-Print Network [OSTI]

    Zhu, Mu

    with the virtual process: · Allows quick exploration (i.e. during a short course) of process improvement ideasWatfactory Virtual Manufacturing Process Machine 1 Machine 2 Machine 3 Stream 1 Machine B Stream 2 Inputs Can be Set by Stream z19, ..., z24 The Watfactory virtual process simulates a manufacturing

  16. Tribal Leaders Provide White House with Input on Bolstering Climate...

    Energy Savers [EERE]

    Tribal Leaders Provide White House with Input on Bolstering Climate Resilience Tribal Leaders Provide White House with Input on Bolstering Climate Resilience January 7, 2015 -...

  17. USDA, Departments of Energy and Navy Seek Input from Industry...

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

    USDA, Departments of Energy and Navy Seek Input from Industry to Advance Biofuels for Military and Commercial Transportation USDA, Departments of Energy and Navy Seek Input from...

  18. Developing a low input and sustainable switchgrass feedstock...

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

    Developing a low input and sustainable switchgrass feedstock production system utilizing beneficial bacterial endophytes Developing a low input and sustainable switchgrass...

  19. V-112: Microsoft SharePoint Input Validation Flaws Permit Cross...

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

    four reported vulnerabilities in Microsoft SharePoint and Microsoft SharePoint Foundation. REFERENCE LINKS: Security Tracker Alert ID 1028278 MS Security Bulletin MS13-024...

  20. T-590: HP Diagnostics Input Validation Hole Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    A potential security vulnerability has been identified in HP Diagnostics. The vulnerability could be exploited remotely resulting in cross site scripting (XSS).

  1. T-722: IBM WebSphere Commerce Edition Input Validation Holes...

    Energy Savers [EERE]

    the IBM WebSphere software, access data recently submitted by the target user via web form to the site, or take actions on the site acting as the target user. reference...

  2. V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism inS-4500II Field EmissionFunctionalPortalV > 111 \il :^ a.7

  3. V-112: Microsoft SharePoint Input Validation Flaws Permit Cross-Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment of EnergyProgram2-26TheUtility-Scale Wind &AppleDepartment ofDepartment

  4. V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment of EnergyProgram2-26TheUtility-Scale WindDepartment of Energy VMware ESX

  5. V-139: Cisco Network Admission Control Input Validation Flaw Lets Remote

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment of EnergyProgram2-26TheUtility-Scale WindDepartmentApple Mac OS X update

  6. U-015: CiscoWorks Common Services Home Page Input Validation Flaw Lets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage »of EnergyTheTwo New Energy Storage6 (07/03) OMB Control No.NREL

  7. T-602: BlackBerry Enterprise Server Input Validation Flaw in BlackBerry Web

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage »of Energy Strain Rate4SuperhardSuspectEnginesSystemsForgery7:

  8. T-701: Citrix Access Gateway Enterprise Edition Input Validation Flaw in

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage »of Energy StrainClient update resolve multiple |DepartmentCross-SiteLogon

  9. T-546: Microsoft MHTML Input Validation Hole May Permit Cross-Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from the GridwiseSiteDepartmentChallengeCompliance7/109 TORNADO * FLASHScripting

  10. T-722: IBM WebSphere Commerce Edition Input Validation Holes Permit

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from the GridwiseSiteDepartmentChallengeCompliance7/109 TORNADO46: Debianupdate

  11. V-150: Apache VCL Input Validation Flaw Lets Remote Authenticated Users

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists' Research Petroleum ReserveDepartment ofEnergy,PotomacGeneratorsAUsersExecuteGain

  12. V-153: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists' Research Petroleum ReserveDepartmentScripting Attacks | Department of Energy A

  13. V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists' Research Petroleum ReserveDepartmentScripting Attacks |Department ofDepartment

  14. V-193: Barracuda SSL VPN Input Validation Hole Permits Cross-Site Scripting

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists' Research Petroleum ReserveDepartmentScripting AttacksThere isAttacksServiceAttacks |

  15. U-144:Juniper Secure Access Input Validation Flaw Permits Cross-Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage »of EnergyTheTwo New Energy Storage6Scripting Attacks | Department of

  16. U-252: Barracuda Web Filter Input Validation Flaws Permit Cross-Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage »of EnergyTheTwo New Energy Storage6ScriptingURL Address|ConductScripting

  17. Selecting the appropriate input data set when configuring a permanent workforce

    E-Print Network [OSTI]

    Bard, Jonathan

    of new personnel planning and scheduling problems for management. With over 70% of the global workforceSelecting the appropriate input data set when configuring a permanent workforce Jonathan F. Bard to use when running a scheduling model to select a permanent workforce for a service facility. Because

  18. Application of computer voice input/output

    SciTech Connect (OSTI)

    Ford, W.; Shirk, D.G.

    1981-01-01T23:59:59.000Z

    The advent of microprocessors and other large-scale integration (LSI) circuits is making voice input and output for computers and instruments practical; specialized LSI chips for speech processing are appearing on the market. Voice can be used to input data or to issue instrument commands; this allows the operator to engage in other tasks, move about, and to use standard data entry systems. Voice synthesizers can generate audible, easily understood instructions. Using voice characteristics, a control system can verify speaker identity for security purposes. Two simple voice-controlled systems have been designed at Los Alamos for nuclear safeguards applicaations. Each can easily be expanded as time allows. The first system is for instrument control that accepts voice commands and issues audible operator prompts. The second system is for access control. The speaker's voice is used to verify his identity and to actuate external devices.

  19. Input to Priorities Panel August 7, 2012

    E-Print Network [OSTI]

    Input to Priorities Panel August 7, 2012 Jeff Freidberg MIT 1 #12;The Emperor of Fusion has · Comparison (1 GW overnight cost) · Coal $ 3B · Gas $ 1B · Nuclear $ 4B · Wind $ 2B · Solar-T $ 3B · ITER $25B option · Tough MHD, heating, current drive, transport · I doubt it will achieve its mission · Still

  20. Verification and Validation

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

    include modeling simulation (which is a form of Test, Demonstration, and Analysis). INL system engineers specialize in helping projects through the Verification and Validation...

  1. Validated SCR Concept Development

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

    * CAE package study (urea tank, exhaust line) * Kinetic aftertreatment modeling (1D -> 3D) -> Validated model chain SCR concept development: * Optimization of SCR concept: *...

  2. Validating Process Refinement with Ontologies , Gerd Groener2

    E-Print Network [OSTI]

    Staab, Steffen

    Validating Process Refinement with Ontologies Yuan Ren1 , Gerd Groener2 , Jens Lemcke3 , Tirdad University of Koblenz-Landau, 3 SAP AG Abstract. A crucial task in process management is the validation of process refinements. A process refinement is a process description in a more fine-grained representation

  3. Total Blender Net Input of Petroleum Products

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. NaturalA. Michael SchaalNovember 26, 2008 (Next1, 20126,6,4,7,TopInput

  4. Generation Inputs Workshop June 25, 2014

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsingFun with Big Sky Learning Fun withGenepoolCrystals. | EMSLDepartment ofInputs

  5. Technology Validation Sig Gronich

    E-Print Network [OSTI]

    , validate stationary fuel cell and hydrogen ICE systems that co- produce hydrogen and electricity from non electrolyzer to hydrogen system to produce hydrogen for $3.30/kg at the plant gate (untaxed and unpressurized

  6. On the Wind Power Input to the Ocean General Circulation

    E-Print Network [OSTI]

    Zhai, Xiaoming

    The wind power input to the ocean general circulation is usually calculated from the time-averaged wind products. Here, this wind power input is reexamined using available observations, focusing on the role of the synoptically ...

  7. INGEN: A COBRA-NC input generator user's manual

    SciTech Connect (OSTI)

    Wheeler, C.L.; Dodge, R.E.

    1986-12-01T23:59:59.000Z

    The INGEN (INput GENerator) computer program has been developed as a preprocessor to simplify input generation for the COBRA-NC computer program. INGEN uses several empirical correlations and geometric assumptions to simplify the data input requirements for the COBRA-NC computer code. The simplified input scheme is obtained at the expense of much flexibility provided by COBRA-NC. For more complex problems requiring additional flexibility however, INGEN may be used to provide a skeletal input file to which the more detailed input may be added. This report describes the input requirements for INGEN and describes the algorithms and correlations used to generate the COBRA-NC input. 9 refs., 3 figs., 6 tabs.

  8. The Intelligent Combination of Input Shaping and PID Feedback Control

    E-Print Network [OSTI]

    Singhose, William

    The Intelligent Combination of Input Shaping and PID Feedback Control A Dissertation Presented Combination of Input Shaping and PID Feedback Control Approved by: Dr. William Singhose, Advisor School . . . . . . . . . . . . . . . . . . . . 8 1.4 PID Feedback Control . . . . . . . . . . . . . . . . . . . . . . . . . . 14 1.5 Comparison

  9. Validation of an Integrated Hydrogen Energy Station

    SciTech Connect (OSTI)

    Edward C. Heydorn

    2012-10-26T23:59:59.000Z

    This report presents the results of a 10-year project conducted by Air Products and Chemicals, Inc. (Air Products) to determine the feasibility of coproducing hydrogen with electricity. The primary objective was to demonstrate the technical and economic viability of a hydrogen energy station using a high-temperature fuel cell designed to produce power and hydrogen. This four-phase project had intermediate go/no-go decisions and the following specific goals: ?¢???¢ Complete a technical assessment and economic analysis of the use of high-temperature fuel cells, including solid oxide and molten carbonate, for the co-production of power and hydrogen (energy park concept). ?¢???¢ Build on the experience gained at the Las Vegas H2 Energy Station and compare/contrast the two approaches for co-production. ?¢???¢ Determine the applicability of co-production from a high-temperature fuel cell for the existing merchant hydrogen market and for the emerging hydrogen economy. ?¢???¢ Demonstrate the concept on natural gas for six months at a suitable site with demand for both hydrogen and electricity. ?¢???¢ Maintain safety as the top priority in the system design and operation. ?¢???¢ Obtain adequate operational data to provide the basis for future commercial activities, including hydrogen fueling stations. Work began with the execution of the cooperative agreement with DOE on 30 September 2001. During Phase 1, Air Products identified high-temperature fuel cells as having the potential to meet the coproduction targets, and the molten carbonate fuel cell system from FuelCell Energy, Inc. (FuelCell Energy) was selected by Air Products and DOE following the feasibility assessment performed during Phase 2. Detailed design, construction and shop validation testing of a system to produce 250 kW of electricity and 100 kilograms per day of hydrogen, along with site selection to include a renewable feedstock for the fuel cell, were completed in Phase 3. The system also completed six months of demonstration operation at the wastewater treatment facility operated by Orange County Sanitation District (OCSD, Fountain Valley, CA). As part of achieving the objective of operating on a renewable feedstock, Air Products secured additional funding via an award from the California Air Resources Board. The South Coast Air Quality Management District also provided cost share which supported the objectives of this project. System operation at OCSD confirmed the results from shop validation testing performed during Phase 3. Hydrogen was produced at rates and purity that met the targets from the system design basis, and coproduction efficiency exceeded the 50% target set in conjunction with input from the DOE. Hydrogen production economics, updated from the Phase 2 analysis, showed pricing of $5 to $6 per kilogram of hydrogen using current gas purification systems. Hydrogen costs under $3 per kilogram are achievable if next-generation electrochemical separation technologies become available.

  10. How Sensitive is Processor Customization to the Workload's Input Datasets?

    E-Print Network [OSTI]

    Eeckhout, Lieven

    How Sensitive is Processor Customization to the Workload's Input Datasets? Maximilien Breughe Zheng though is to what extent processor customiza- tion is sensitive to the training workload's input datasets. Current practice is to consider a single or only a few input datasets per workload during the processor

  11. CERNA WORKING PAPER SERIES Strategic inputs into patent pools

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 CERNA WORKING PAPER SERIES Strategic inputs into patent pools Justus Baron Henry Delcamp Working;2 Strategic inputs into patent pools1 Justus BARON2 Henry DELCAMP3 Abstract: This article explores what factors determine the decision of a patent pool to accept new inputs. We propose a dynamic analysis

  12. EO 13690: Establishing a Federal Flood Risk Management Standard...

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

    EO 13690: Establishing a Federal Flood Risk Management Standard and a Process for Further Soliciting and Considering Stakeholder Input EO 13690: Establishing a Federal Flood Risk...

  13. Management Plan Management Plan

    E-Print Network [OSTI]

    ; and 5) consistency with the Endangered Species Act and Clean Water Act. In addition, the management plan Plan, Management Plan Page MP­ 1 #12;Management Plan water quality standards, instream flows, privateManagement Plan Management Plan "Management and restoration programs for native salmonids have

  14. Microsoft Word - SmartGrid - NRC Input to DOE Requestrvjcomments...

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

    Notices) Smart Grid Implementation Input - NRC Contact: Kenn A. Miller, Office of Nuclear Reactor Regulation, 301-415-3152 Comments relevant to the following two sections...

  15. ,"New York Natural Gas Input Supplemental Fuels (MMcf)"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2013 ,"Release Date:","227...

  16. arterial input functions: Topics by E-print Network

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

    high-resolution detection of the arterial and venous input function through a PET Wrist Environmental Sciences and Ecology Websites Summary: model. Due to safety and...

  17. arterial input function: Topics by E-print Network

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

    high-resolution detection of the arterial and venous input function through a PET Wrist Environmental Sciences and Ecology Websites Summary: model. Due to safety and...

  18. Impacts of atmospheric nutrient inputs on marine biogeochemistry

    E-Print Network [OSTI]

    Krishnamurthy, Aparna; Moore, J. Keith; Mahowald, Natalie; Luo, Chao; Zender, Charles S

    2010-01-01T23:59:59.000Z

    biomass burning, and biofuels) dominate P inputs [Olmez etburning, fossil fuels, biofuels, volcanoes, sea salts whichburning, fossil fuels, biofuels) G01006 of total P are

  19. Mercury/Waterfilling: Optimum Power Allocation with Arbitrary Input Constellations

    E-Print Network [OSTI]

    Verdú, Sergio

    Mercury/Waterfilling: Optimum Power Allocation with Arbitrary Input Constellations Angel Lozano gives the power allocation policy, referred to as mercury/waterfilling, that maximizes the sum mutual

  20. A Requirement for Significant Reduction in the Maximum BTU Input...

    Energy Savers [EERE]

    A Requirement for Significant Reduction in the Maximum BTU Input Rate of Decorative Vented Gas Fireplaces Would Impose Substantial Burdens on Manufacturers A Requirement for...

  1. CIPS Validation Data Plan

    SciTech Connect (OSTI)

    Nam Dinh

    2012-03-01T23:59:59.000Z

    This report documents analysis, findings and recommendations resulted from a task 'CIPS Validation Data Plan (VDP)' formulated as an POR4 activity in the CASL VUQ Focus Area (FA), to develop a Validation Data Plan (VDP) for Crud-Induced Power Shift (CIPS) challenge problem, and provide guidance for the CIPS VDP implementation. The main reason and motivation for this task to be carried at this time in the VUQ FA is to bring together (i) knowledge of modern view and capability in VUQ, (ii) knowledge of physical processes that govern the CIPS, and (iii) knowledge of codes, models, and data available, used, potentially accessible, and/or being developed in CASL for CIPS prediction, to devise a practical VDP that effectively supports the CASL's mission in CIPS applications.

  2. PV array simulator development and validation.

    SciTech Connect (OSTI)

    Kuszmaul, Scott S.; Gonzalez, Sigifredo; Lucca, Roberto (Ametek Programmable Power, San Diego, CA); Deuel, Don (Ametek Programmable Power, San Diego, CA)

    2010-06-01T23:59:59.000Z

    The ability to harvest all available energy from a photovoltaic (PV) array is essential if new system developments are to meet levelized cost of energy targets and achieve grid parity with conventional centralized utility power. Therefore, exercising maximum power point tracking (MPPT) algorithms, dynamic irradiance condition operation and startup and shutdown routines and evaluating inverter performance with various PV module fill-factor characteristics must be performed with a repeatable, reliable PV source. Sandia National Laboratories is collaborating with Ametek Programmable Power to develop and demonstrate a multi-port TerraSAS PV array simulator. The simulator will replicate challenging PV module profiles, enabling the evaluation of inverter performance through analyses of the parameters listed above. Energy harvest algorithms have traditionally implemented methods that successfully utilize available energy. However, the quantification of energy capture has always been difficult to conduct, specifically when characterizing the inverter performance under non-reproducible dynamic irradiance conditions. Theoretical models of the MPPT algorithms can simulate capture effectiveness, but full validation requires a DC source with representative field effects. The DC source being developed by Ametek and validated by Sandia is a fully integrated system that can simulate an IV curve from the Solar Advisor Model (SAM) module data base. The PV simulator allows the user to change the fill factor by programming the maximum power point voltage and current parameters and the open circuit voltage and short circuit current. The integrated PV simulator can incorporate captured irradiance and module temperature data files for playback, and scripted profiles can be generated to validate new emerging hardware embedded with existing and evolving MPPT algorithms. Since the simulator has multiple independent outputs, it also has the flexibility to evaluate an inverter with multiple MPPT DC inputs. The flexibility of the PV simulator enables the validation of the inverter's capability to handle vastly different array configurations.

  3. Considering Workload Input Variations in Error Coverage Estimation

    E-Print Network [OSTI]

    Karlsson, Johan

    different parts of the workload code to be executed different number of times. By using the results from in the workload input when estimating error detection coverage using fault injection are investigated. Results sequence based on results from fault injection experiments with another input sequence is presented

  4. Towards Efficient Private Distributed Computation on Unbounded Input Streams

    E-Print Network [OSTI]

    /11), Cabarnit Cyber Security MAGNET Consortium, MAFAT and Deutsche Telekom Labs at BGU. #12;2 Shlomi Dolev1Towards Efficient Private Distributed Computation on Unbounded Input Streams Shlomi Dolev1 , Juan- curely and distributively perform a computation on common inputs, in such a way that even if the entire

  5. ANALOG-DIGITAL INPUT OUTPUT SYSTEM FOR APPLE CO

    E-Print Network [OSTI]

    Groppi, Christopher

    ADIOS ANALOG-DIGITAL INPUT OUTPUT SYSTEM FOR APPLE CO NATIONAL RADIO ASTRONOMY OBSERVATORY TABLES ADIOS - ANALOG-DIGITAL INPUT OUTPUT SYSTEM FOR APPLE COMPUTER TABLE FOR CONTENTS Page I Module and Apple Card (Photograph) Figure 3 Complete Apple/ADIOS System (Photograph) Figure 4 Analog

  6. Soft-Input Soft-Output Sphere Decoding Christoph Studer

    E-Print Network [OSTI]

    Soft-Input Soft-Output Sphere Decoding Christoph Studer Integrated Systems Laboratory ETH Zurich Laboratory ETH Zurich, 8092 Zurich, Switzerland Email: boelcskei@nari.ee.ethz.ch Abstract--Soft-input soft, 8092 Zurich, Switzerland Email: studer@iis.ee.ethz.ch Helmut Bölcskei Communication Technology

  7. Criticality Safety Code Validation with LWBRs SB Cores

    SciTech Connect (OSTI)

    Putman, Valerie Lee

    2003-01-01T23:59:59.000Z

    The first set of critical experiments from the Shippingport Light Water Breeder Reactor Program included eight, simple geometry critical cores built with 233UO2-ZrO2, 235UO2-ZrO2, ThO2, and ThO2-233UO2 nuclear materials. These cores are evaluated, described, and modeled to provide benchmarks and validation information for INEEL criticality safety calculation methodology. In addition to consistency with INEEL methodology, benchmark development and nuclear data are consistent with International Criticality Safety Benchmark Evaluation Project methodology.Section 1 of this report introduces the experiments and the reason they are useful for validating some INEEL criticality safety calculations. Section 2 provides detailed experiment descriptions based on currently available experiment reports. Section 3 identifies criticality safety validation requirement sources and summarizes requirements that most affect this report. Section 4 identifies relevant hand calculation and computer code calculation methodologies used in the experiment evaluation, benchmark development, and validation calculations. Section 5 provides a detailed experiment evaluation. This section identifies resolutions for currently unavailable and discrepant information. Section 5 also reports calculated experiment uncertainty effects. Section 6 describes the developed benchmarks. Section 6 includes calculated sensitivities to various benchmark features and parameters. Section 7 summarizes validation results. Appendices describe various assumptions and their bases, list experimenter calculations results for items that were independently calculated for this validation work, report other information gathered and developed by SCIENTEC personnel while evaluating these same experiments, and list benchmark sample input and miscellaneous supplementary data.

  8. Validation needs of seismic probabilistic risk assessment (PRA) methods applied to nuclear power plants

    SciTech Connect (OSTI)

    Kot, C.A.; Srinivasan, M.G.; Hsieh, B.J.

    1985-01-01T23:59:59.000Z

    An effort to validate seismic PRA methods is in progress. The work concentrates on the validation of plant response and fragility estimates through the use of test data and information from actual earthquake experience. Validation needs have been identified in the areas of soil-structure interaction, structural response and capacity, and equipment fragility. Of particular concern is the adequacy of linear methodology to predict nonlinear behavior. While many questions can be resolved through the judicious use of dynamic test data, other aspects can only be validated by means of input and response measurements during actual earthquakes. A number of past, ongoing, and planned testing programs which can provide useful validation data have been identified, and validation approaches for specific problems are being formulated.

  9. Wavelength meter having single mode fiber optics multiplexed inputs

    DOE Patents [OSTI]

    Hackel, R.P.; Paris, R.D.; Feldman, M.

    1993-02-23T23:59:59.000Z

    A wavelength meter having a single mode fiber optics input is disclosed. The single mode fiber enables a plurality of laser beams to be multiplexed to form a multiplexed input to the wavelength meter. The wavelength meter can provide a determination of the wavelength of any one or all of the plurality of laser beams by suitable processing. Another aspect of the present invention is that one of the laser beams could be a known reference laser having a predetermined wavelength. Hence, the improved wavelength meter can provide an on-line calibration capability with the reference laser input as one of the plurality of laser beams.

  10. Wavelength meter having single mode fiber optics multiplexed inputs

    DOE Patents [OSTI]

    Hackel, Richard P. (Livermore, CA); Paris, Robert D. (San Ramon, CA); Feldman, Mark (Pleasanton, CA)

    1993-01-01T23:59:59.000Z

    A wavelength meter having a single mode fiber optics input is disclosed. The single mode fiber enables a plurality of laser beams to be multiplexed to form a multiplexed input to the wavelength meter. The wavelength meter can provide a determination of the wavelength of any one or all of the plurality of laser beams by suitable processing. Another aspect of the present invention is that one of the laser beams could be a known reference laser having a predetermined wavelength. Hence, the improved wavelength meter can provide an on-line calibration capability with the reference laser input as one of the plurality of laser beams.

  11. Hospitality Management Hospitality Management

    E-Print Network [OSTI]

    McConnell, Terry

    of the global hospitality industry. Academic Offerings HOSPITALITY AND FOOD SERVICE MANAGEMENT MINOR HOSPITALITY AND FOOD SERVICE MANAGEMENT MINOR Students pursuing programs in other areas of study may choose a minor Lodging Management 3 HPM 309 Sports Arena Management 3 HPM 312* Cost Control in Food Services (Prereq

  12. Operation of buck regulator with ultra-low input voltage

    E-Print Network [OSTI]

    Harris, Cory Angelo

    2014-01-01T23:59:59.000Z

    Based on the LTC3621 and LTC3624, the designed buck regulator proposed in this thesis aims to lower the allowed input voltage and increase efficiency compared to the original part without making significant changes to ...

  13. Data sheet acquired from Harris Semiconductor Buffered Inputs

    E-Print Network [OSTI]

    Kretchmar, R. Matthew

    1 Data sheet acquired from Harris Semiconductor SCHS121D Features · Buffered Inputs · Typical. The suffixes 96 and R denote tape and reel. The suffix T denotes a small-quantity reel of 250. CAUTION

  14. Automatic testing of software with structurally complex inputs

    E-Print Network [OSTI]

    Marinov, Darko, 1976-

    2005-01-01T23:59:59.000Z

    Modern software pervasively uses structurally complex data such as linked data structures. The standard approach to generating test suites for such software, manual generation of the inputs in the suite, is tedious and ...

  15. Comparison of wind stress algorithms, datasets and oceanic power input

    E-Print Network [OSTI]

    Yuan, Shaoyu

    2009-01-01T23:59:59.000Z

    If the ocean is in a statistically steady state, energy balance is a strong constraint, suggesting that the energy input into the world ocean is dissipated simultaneously at the same rate. Energy conservation is one of the ...

  16. anthropogenic lead inputs: Topics by E-print Network

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

    et al. Pb Brest, Universit de 6 GEOS-CHEM ANTHROPOGENIC EMISSIONS Table 1. Inventories general features. Use of optional inventories is set in the input.geos file....

  17. ONTHEGO TEXT ENTRY: EVALUATING AND IMPROVING MOBILE TEXT INPUT ON

    E-Print Network [OSTI]

    Starner, Thad E.

    ONTHEGO TEXT ENTRY: EVALUATING AND IMPROVING MOBILE TEXT INPUT ON MINIQWERTY KEYBOARDS A Thesis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xv I INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Thesis Statement-QWERTY KEYBOARDS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 4.1 Blind Typing in Real

  18. Face Interface : a methodology for experimental learning of input modalities

    E-Print Network [OSTI]

    Wetzel, Jon William

    2007-01-01T23:59:59.000Z

    This thesis demonstrates that creating a system with a visual representation of the face which mirrors the user's facial gestures appears to solve problems in teaching a user to use the new input affordances of face-based ...

  19. Adaptive Distributed Parameter and Input Estimation in Plasma Tokamak Heat

    E-Print Network [OSTI]

    Boyer, Edmond

    . Keywords: Thermonuclear fusion, distributed parameter systems, input state and parameter estimation, adaptive infinite-dimensional estimation, Galerkin method 1. INTRODUCTION In a controlled thermonuclear fusion reactor, the plasma thermal diffusivity and heating energy play an important role

  20. Analyzing the impacts of sales tax on agricultural inputs

    E-Print Network [OSTI]

    Lamar, Christina Helweg

    1992-01-01T23:59:59.000Z

    ANALYZING THE IMPACTS OF SALES TAX ON AGRICULTURAL INPUTS CHRISTINA HELWEG ~ Submitted to the Office of Graduate Studies of Texas AgtM University in partial fulSllment of the requirements for the degree of MASTER OF SCIENCE August 1992 Major... Subject: Agncultural Economics ABSTRACT Analyzing the Impacts of Sales Tax on Agricultural Inputs. (August 1992) Christina Helweg Lamar, B. S. , Texas AthM University Chair of Advisory Committee: Dr. Ronald Knutson With the increased demand...

  1. Charged-Particle Thermonuclear Reaction Rates: III. Nuclear Physics Input

    E-Print Network [OSTI]

    Christian Iliadis; Richard Longland; Art Champagne; Alain Coc

    2010-04-23T23:59:59.000Z

    The nuclear physics input used to compute the Monte Carlo reaction rates and probability density functions that are tabulated in the second paper of this series (Paper II) is presented. Specifically, we publish the input files to the Monte Carlo reaction rate code RatesMC, which is based on the formalism presented in the first paper of this series (Paper I). This data base contains overwhelmingly experimental nuclear physics information. The survey of literature for this review was concluded in November 2009.

  2. Input from Key Stakeholders in the National Security Technology Incubator

    SciTech Connect (OSTI)

    None

    2008-01-31T23:59:59.000Z

    This report documents the input from key stakeholders of the National Security Technology Incubator (NSTI) in developing a new technology incubator and related programs for southern New Mexico. The technology incubator is being developed as part of the National Security Preparedness Project (NSPP), funded by a Department of Energy (DOE)/National Nuclear Security Administration (NNSA) grant. This report includes identification of key stakeholders as well as a description and analysis of their input for the development of an incubator.

  3. Radiography Facility - Building 239 Independent Validation Review

    SciTech Connect (OSTI)

    Altenbach, T J; Beaulieu, R A; Watson, J F; Wong, H J

    2010-02-02T23:59:59.000Z

    The purpose of this task was to perform an Independent Validation Review to evaluate the successful implementation and effectiveness of Safety Basis controls, including new and revised controls, to support the implementation of a new DSA/TSR for B239. This task addresses Milestone 2 of FY10 PEP 7.6.6. As the first IVR ever conducted on a LLNL nuclear facility, it was designated a pilot project. The review follows the outline developed for Milestone 1 of the PEP, which is based on the DOE Draft Guide for Performance of Independent Verification Review of Safety Basis Controls. A formal Safety Basis procedure will be developed later, based on the lessons learned with this pilot project. Note, this review is termed a ''Validation'' in order to be consistent with the PEP definition and address issues historically raised about verification mechanisms at LLNL. Validation is intended to confirm that implementing mechanisms realistically establish the ability of TSR LCO, administrative control or safety management program to accomplish its intended safety function and that the controls are being implemented. This effort should not, however, be confused with a compliance assessment against all relevant DOE requirements and national standards. Nor is it used as a vehicle to question the derivation of controls already approved by LSO unless a given TSR statement simply cannot be implemented as stated.

  4. U-067:WebSVN Input Validation Flaw in getLog() Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    A remote user can access the target user's cookies (including authentication cookies), if any, associated with the site running the WebSVN software, access data recently submitted by the target user via web form to the site, or take actions on the site acting as the target user.

  5. Sensitivity of piping seismic responses to input factors

    SciTech Connect (OSTI)

    O'Connell, W.J.

    1985-05-01T23:59:59.000Z

    This report summarizes the sensitivity of peak dynamic seismic responses to input parameters. The responses have been modeled and calculated for the Zion Unit 1 plant as part of a seismic probabilistic risk assessment (PRA) performed by the US NRC Seismic Safety Margins Research Program (SSMRP). The SSMRP was supported by the US NRC Office of Nuclear Regulatory Research. Two sensitivity topics motivated the study. The first is the sensitivity of piping response to the mean value of piping damping. The second is the sensitivity of all the responses to the earthquake and model input parameters including soil, structure and piping parameters; this information is required for another study, the sensitivity of the plant system response (in terms of risk) to these dynamic input parameters and to other input factors. We evaluate the response sensitivities by performing a linear regression analysis (LRA) of the computer code SMACS. With SMACS we have a detailed model of the Zion plant and of the important dynamic processes in the soil, structures and piping systems. The qualitative results change with the location of the individual response. Different responses are in locations where the many potential influences have different effectiveness. The results give an overview of the complexity of the seismic dyanmic response of a plant. Within the diversity trends are evident in the influences of the input variables on the responses.

  6. DUSTMS-D: DISPOSAL UNIT SOURCE TERM - MULTIPLE SPECIES - DISTRIBUTED FAILURE DATA INPUT GUIDE.

    SciTech Connect (OSTI)

    SULLIVAN, T.M.

    2006-01-01T23:59:59.000Z

    Performance assessment of a low-level waste (LLW) disposal facility begins with an estimation of the rate at which radionuclides migrate out of the facility (i.e., the source term). The focus of this work is to develop a methodology for calculating the source term. In general, the source term is influenced by the radionuclide inventory, the wasteforms and containers used to dispose of the inventory, and the physical processes that lead to release from the facility (fluid flow, container degradation, wasteform leaching, and radionuclide transport). Many of these physical processes are influenced by the design of the disposal facility (e.g., how the engineered barriers control infiltration of water). The complexity of the problem and the absence of appropriate data prevent development of an entirely mechanistic representation of radionuclide release from a disposal facility. Typically, a number of assumptions, based on knowledge of the disposal system, are used to simplify the problem. This has been done and the resulting models have been incorporated into the computer code DUST-MS (Disposal Unit Source Term-Multiple Species). The DUST-MS computer code is designed to model water flow, container degradation, release of contaminants from the wasteform to the contacting solution and transport through the subsurface media. Water flow through the facility over time is modeled using tabular input. Container degradation models include three types of failure rates: (a) instantaneous (all containers in a control volume fail at once), (b) uniformly distributed failures (containers fail at a linear rate between a specified starting and ending time), and (c) gaussian failure rates (containers fail at a rate determined by a mean failure time, standard deviation and gaussian distribution). Wasteform release models include four release mechanisms: (a) rinse with partitioning (inventory is released instantly upon container failure subject to equilibrium partitioning (sorption) with the waste form), (b) diffusion release.(release from either a cylindrical, spherical, or rectangular wasteform), (c) dissolution release (uniform release over time due to dissolution of the wasteform surface), and (d) solubility limited release. The predicated wasteform releases are corrected for radioactive decay and ingrowth. A unique set of container failure and wasteform release parameters can be specified for each control volume with a container. Contaminant transport is modeled through a finite-difference solution of the advective transport equation with sources (wasteform release and ingrowth) and radioactive decay. Although DUST-MS simulates one-dimensional transport, it can be used to simulate migration down to an aquifer and then transport in the aquifer by running the code twice. A special subroutine allows the flux into the aquifer from the first simulation to be input as the flux at the upstream boundary in the aquifer. This document presents the models used to calculate release from a disposal facility, verification of the model, and instructions on the use of the DUST-MS code. In addition to DUST-MS, a preprocessor, DUSTINMS, which helps the code user create input decks for DUST-MS and a post-processor, GRAFMS, which takes selected output files and plots them on the computer terminal have been written. Use of these codes is also described. In using DUST-MS, as with all computer models, the validity of the predictions relies heavily on the validity of the input parameters. Often, the largest uncertainties arise from uncertainty in the input parameters. Therefore, it is crucial to document and support the use of these parameters. The DUST-MS code, because of its flexibility and ability to compute release rates quickly, is extremely useful for screening to determine the radionuclide released at the highest rate, parameter sensitivity analysis and, with proper choice of the input parameters, provide upper bounds to release rates.

  7. Optical device with conical input and output prism faces

    DOE Patents [OSTI]

    Brunsden, Barry S. (Chicago, IL)

    1981-01-01T23:59:59.000Z

    A device for radially translating radiation in which a right circular cylinder is provided at each end thereof with conical prism faces. The faces are oppositely extending and the device may be severed in the middle and separated to allow access to the central part of the beam. Radiation entering the input end of the device is radially translated such that radiation entering the input end at the perimeter is concentrated toward the output central axis and radiation at the input central axis is dispersed toward the output perimeter. Devices are disclosed for compressing beam energy to enhance drilling techniques, for beam manipulation of optical spatial frequencies in the Fourier plane and for simplification of dark field and color contrast microscopy. Both refracting and reflecting devices are disclosed.

  8. Incorporating uncertainty in RADTRAN 6.0 input files.

    SciTech Connect (OSTI)

    Dennis, Matthew L.; Weiner, Ruth F.; Heames, Terence John (Alion Science and Technology)

    2010-02-01T23:59:59.000Z

    Uncertainty may be introduced into RADTRAN analyses by distributing input parameters. The MELCOR Uncertainty Engine (Gauntt and Erickson, 2004) has been adapted for use in RADTRAN to determine the parameter shape and minimum and maximum of the distribution, to sample on the distribution, and to create an appropriate RADTRAN batch file. Coupling input parameters is not possible in this initial application. It is recommended that the analyst be very familiar with RADTRAN and able to edit or create a RADTRAN input file using a text editor before implementing the RADTRAN Uncertainty Analysis Module. Installation of the MELCOR Uncertainty Engine is required for incorporation of uncertainty into RADTRAN. Gauntt and Erickson (2004) provides installation instructions as well as a description and user guide for the uncertainty engine.

  9. Self-consistent input-output formulation of quantum feedback

    SciTech Connect (OSTI)

    Yanagisawa, M. [Department of Engineering, The Australian National University, Canberra, ACT 0200 (Australia); Hope, J. J. [Department of Quantum Science, The Australian National University, Canberra, ACT 0200 (Australia)

    2010-12-15T23:59:59.000Z

    A simple method of analyzing quantum feedback circuits is presented. The classical analysis of feedback circuits can be generalized to apply to quantum systems by mapping the field operators of various outputs to other inputs via the standard input-output formalism. Unfortunately, this has led to unphysical results such as the violation of the Heisenberg uncertainty principle for in-loop fields. This paper shows that this general approach can be redeemed by ensuring a self-consistently Hermitian Hamiltonian. The calculations are based on a noncommutative calculus of operator derivatives. A full description of several examples of quantum linear and nonlinear feedback for optical systems is presented.

  10. ETFOD: a point model physics code with arbitrary input

    SciTech Connect (OSTI)

    Rothe, K.E.; Attenberger, S.E.

    1980-06-01T23:59:59.000Z

    ETFOD is a zero-dimensional code which solves a set of physics equations by minimization. The technique used is different than normally used, in that the input is arbitrary. The user is supplied with a set of variables from which he specifies which variables are input (unchanging). The remaining variables become the output. Presently the code is being used for ETF reactor design studies. The code was written in a manner to allow easy modificaton of equations, variables, and physics calculations. The solution technique is presented along with hints for using the code.

  11. Fast RNA Structure Alignment for Crossing Input Rolf Backofena

    E-Print Network [OSTI]

    Tsur, Dekel

    is to predict for every input sequence the minimum free-energy non-crossing structure (in O(n3 ) time function. Since the structure of RNA is evolu- tionarily more conserved than its sequence, predicting a folding with minimal free energy [5, 6, 7, 8, 9]. Albeit this so-named thermodynamic approach is a success

  12. Input to review of STFC UK Nuclear Physics Community

    E-Print Network [OSTI]

    Crowther, Paul

    Input to review of STFC UK Nuclear Physics Community Introduction STFC covers essentially and project funding for Astronomy, Nuclear Physics, Particle Physics and Space Science Since STFC was formed programme. Grant funding Nuclear Physics grant funding was in EPSRC until 2007 and then moved to STFC

  13. Global sensitivity analysis of computer models with functional inputs

    E-Print Network [OSTI]

    Boyer, Edmond

    function. Lastly, the new methodology is applied to an industrial computer code that simulates the nuclear with scalar input variables. For example, in the nuclear engineering domain, global SA tools have been applied (Helton et al. [7]), environmental model of dose calculations (Iooss et al. [10]), reactor dosimetry

  14. Power Control for Crossbar-based Input-Queued Switches

    E-Print Network [OSTI]

    , if f is the maximum digital signal frequency, the power consumption of a CMOS device is proportional number of data simultaneously flowing across the switching fabric. Thermal power dissipation is becoming1 Power Control for Crossbar-based Input-Queued Switches Andrea Bianco, Paolo Giaccone, Guido

  15. CO2 enrichment increases carbon and nitrogen input from

    E-Print Network [OSTI]

    CO2 enrichment increases carbon and nitrogen input from fine roots in a deciduous forest Colleen2 Ecological Society of America, 2008 #12;#12;#12;#12;#12;+ [CO2] #12;+ Net primary production + [CO2] #12;+ Net primary production + [CO2] + C and N storage in biomass #12;+ Net primary production

  16. Gaussian Process Training with Input Noise Andrew McHutchon

    E-Print Network [OSTI]

    Edinburgh, University of

    University Cambridge, CB2 1PZ ajm257@cam.ac.uk Carl Edward Rasmussen Department of Engineering Cambridge University Cambridge, CB2 1PZ cer54@cam.ac.uk Abstract In standard Gaussian Process regression input intuitive sense: for example, an application in Rasmussen and Williams (2006) [1] is that of modelling CO2

  17. Power Control for Discrete-Input Block-Fading Channels

    E-Print Network [OSTI]

    Guillén i Fàbregas, Albert

    . K. Rasmussen CUED / F-INFENG / TR 582 August 2007 #12;#12;1 Power Control for Discrete-Input Block-Fading Channels Khoa D. Nguyen, Albert Guill´en i F`abregas and Lars K. Rasmussen Abstract We consider power systems employing orthogonal frequency division multiplexing. K. D. Nguyen and L. K. Rasmussen

  18. Input Design for Nonlinear Stochastic Dynamic Systems -A Particle Filter

    E-Print Network [OSTI]

    Schn, Thomas

    Input Design for Nonlinear Stochastic Dynamic Systems - A Particle Filter Approach R. Bhushan in nonlinear stochastic dynamic systems. The approach relies on minimizing a function of the covariance]). There has also been work done on obtaining finite sam- ple covariance estimates (Weyer et al. [1999], Weyer

  19. CHARACTERIZATION OF VIBRATIONINDUCED IMAGE DEFECTS IN INPUT SCANNERS

    E-Print Network [OSTI]

    Wolberg, George

    ) by dynamic errors of gears, timing bets, and motors, and indirectly by structural vibrations induced by gearsCHARACTERIZATION OF VIBRATION­INDUCED IMAGE DEFECTS IN INPUT SCANNERS Robert P. Loce George Wolberg. Keywords: image defects, digital documents, scanned documents, vibrations, motion quality 1. INTRODUCTION

  20. FULL FUEL CYCLE ASSESSMENT WELL TO TANK ENERGY INPUTS,

    E-Print Network [OSTI]

    FULL FUEL CYCLE ASSESSMENT WELL TO TANK ENERGY INPUTS, EMISSIONS, AND WATER IMPACTS Prepared For be divided into two parts: · Well-to-Tank (WTT) Feedstock extraction, transport, storage, processing, distribution, transport, and storage · Tank-to-Wheels (TTW) Refueling, consumption and evaporation The full

  1. XML Document XML Document Types and Validation

    E-Print Network [OSTI]

    Weber, Gregory D.

    XML Document Types and Validation IIM-I340 Objectives XML Document Types and Validation IIM-I340 April, 2010 #12;XML Document Types and Validation IIM-I340 Objectives Learning Objectives Understand: The need for validation Two ways to specify validity: Document Type Definitions (DTDs) XML Schemas #12;XML

  2. E-Print Network 3.0 - accelerometer-based input device Sample...

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

    Gestural Text-Entry Systems Eleanor Jones1 Summary: and subjective satisfaction. RELATED WORK Accelerometer Based Input Research into accelerometer based input...

  3. E-Print Network 3.0 - arbitrary input distributions Sample Search...

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

    results for: arbitrary input distributions Page: << < 1 2 3 4 5 > >> 1 Generalized MercuryWaterfilling for Multiple-Input Multiple-Output Channels Summary: -interacting...

  4. DOE Seeks Public Input on an Integrated, Interagency Pre-Application...

    Energy Savers [EERE]

    Seeks Public Input on an Integrated, Interagency Pre-Application Process for Transmission Authorizations DOE Seeks Public Input on an Integrated, Interagency Pre-Application...

  5. Oil field management system

    DOE Patents [OSTI]

    Fincke, James R.

    2003-09-23T23:59:59.000Z

    Oil field management systems and methods for managing operation of one or more wells producing a high void fraction multiphase flow. The system includes a differential pressure flow meter which samples pressure readings at various points of interest throughout the system and uses pressure differentials derived from the pressure readings to determine gas and liquid phase mass flow rates of the high void fraction multiphase flow. One or both of the gas and liquid phase mass flow rates are then compared with predetermined criteria. In the event such mass flow rates satisfy the predetermined criteria, a well control system implements a correlating adjustment action respecting the multiphase flow. In this way, various parameters regarding the high void fraction multiphase flow are used as control inputs to the well control system and thus facilitate management of well operations.

  6. A fast, simple, and naturally machine-precision algorithm for calculating both symmetric and asymmetric MT2, for any physical inputs

    E-Print Network [OSTI]

    Christopher G. Lester; Benjamin Nachman

    2014-11-16T23:59:59.000Z

    This document describes a stransverse-mass calculation algorithm that has better numerical stability, and therefore accuracy, than the fastest existing implementations. The new algorithm naturally permits computation of MT2 to machine-precision for any valid set of inputs. In addition to being more accurate than existing fast calculators, the new implementation is arguably simpler to understand, comprises fewer lines of active code, and provides the first fast machine-precision asymmetric-MT2 calculator known to the authors.

  7. Hydrogen Vehicle and Infrastructure Demonstration and Validation...

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

    Vehicle and Infrastructure Demonstration and Validation Hydrogen Vehicle and Infrastructure Demonstration and Validation 2009 DOE Hydrogen Program and Vehicle Technologies Program...

  8. Verification and Validation of Simulation Model

    E-Print Network [OSTI]

    Shihada, Basem

    Verification and Validation of Simulation Model 1 Verification and Validation 2 #12;Verification · Examples ­ simulation model: open networks with exponential interarrival time distribution and uniform

  9. Energy consumption characterization as an input to building management and performance benchmarking - a case study PPT

    E-Print Network [OSTI]

    Bernardo, H.; Neves, L.; Oliveira, F.; Quintal, E.

    2012-01-01T23:59:59.000Z

    performance characterization of each of its buildings, looking specifically at the typology of canteen. Developing building energy performance benchmarking systems enables the comparison of actual consumption of individual buildings against others of the same...

  10. Enriching Sustainable Transport Decisions: Inputs from Operations Research and the Management Sciences

    E-Print Network [OSTI]

    Wellar, Barry; Garrison, William

    2009-01-01T23:59:59.000Z

    to decision processes involving sustainable transportused to enrich sustainable transport decision processes andthe process of making decisions about sustainable transport

  11. Network Management Network Management

    E-Print Network [OSTI]

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

  12. Microchannel cross load array with dense parallel input

    DOE Patents [OSTI]

    Swierkowski, Stefan P.

    2004-04-06T23:59:59.000Z

    An architecture or layout for microchannel arrays using T or Cross (+) loading for electrophoresis or other injection and separation chemistry that are performed in microfluidic configurations. This architecture enables a very dense layout of arrays of functionally identical shaped channels and it also solves the problem of simultaneously enabling efficient parallel shapes and biasing of the input wells, waste wells, and bias wells at the input end of the separation columns. One T load architecture uses circular holes with common rows, but not columns, which allows the flow paths for each channel to be identical in shape, using multiple mirror image pieces. Another T load architecture enables the access hole array to be formed on a biaxial, collinear grid suitable for EDM micromachining (square holes), with common rows and columns.

  13. Summary, Attendee Input, and Day 1 Wrap Up

    Broader source: Energy.gov [DOE]

    Summary and wrap up of day 1 presentations and preview of day 2 by DOE Integrated Safety Management Co-champions Patricia R. Worthington, HSS Director, Office of Health and Safety; and and Ray J. Corey, Assistant Manager for Safety and Environment, DOE Richland Operations Office.

  14. Summary, Attendee Input, and Final Day 2 Wrap up

    Broader source: Energy.gov [DOE]

    Summary and wrap up by DOE Integrated Safety Management Co-champions Patricia R. Worthington, HSS Director, Office of Health and Safety; and and Ray J. Corey, Assistant Manager for Safety and Environment, DOE Richland Operations Office of day 2 presentations and discussions.

  15. Environmental Transport Input Parameters for the Biosphere Model

    SciTech Connect (OSTI)

    M. Wasiolek

    2004-09-10T23:59:59.000Z

    This analysis report is one of the technical reports documenting the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the total system performance assessment for the license application (TSPA-LA) for the geologic repository at Yucca Mountain. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows relationships among the reports developed for biosphere modeling and biosphere abstraction products for the TSPA-LA, as identified in the ''Technical Work Plan for Biosphere Modeling and Expert Support'' (BSC 2004 [DIRS 169573]) (TWP). This figure provides an understanding of how this report contributes to biosphere modeling in support of the license application (LA). This report is one of the five reports that develop input parameter values for the biosphere model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes the conceptual model and the mathematical model. The input parameter reports, shown to the right of the Biosphere Model Report in Figure 1-1, contain detailed description of the model input parameters. The output of this report is used as direct input in the ''Nominal Performance Biosphere Dose Conversion Factor Analysis'' and in the ''Disruptive Event Biosphere Dose Conversion Factor Analysis'' that calculate the values of biosphere dose conversion factors (BDCFs) for the groundwater and volcanic ash exposure scenarios, respectively. The purpose of this analysis was to develop biosphere model parameter values related to radionuclide transport and accumulation in the environment. These parameters support calculations of radionuclide concentrations in the environmental media (e.g., soil, crops, animal products, and air) resulting from a given radionuclide concentration at the source of contamination (i.e., either in groundwater or in volcanic ash). The analysis was performed in accordance with the TWP (BSC 2004 [DIRS 169573]).

  16. Inhalation Exposure Input Parameters for the Biosphere Model

    SciTech Connect (OSTI)

    K. Rautenstrauch

    2004-09-10T23:59:59.000Z

    This analysis is one of 10 reports that support the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN) biosphere model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the conceptual model as well as the mathematical model and its input parameters. This report documents development of input parameters for the biosphere model that are related to atmospheric mass loading and supports the use of the model to develop biosphere dose conversion factors (BDCFs). The biosphere model is one of a series of process models supporting the total system performance assessment (TSPA) for a Yucca Mountain repository. Inhalation Exposure Input Parameters for the Biosphere Model is one of five reports that develop input parameters for the biosphere model. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling, and the plan for development of the biosphere abstraction products for TSPA, as identified in the Technical Work Plan for Biosphere Modeling and Expert Support (BSC 2004 [DIRS 169573]). This analysis report defines and justifies values of mass loading for the biosphere model. Mass loading is the total mass concentration of resuspended particles (e.g., dust, ash) in a volume of air. Mass loading values are used in the air submodel of ERMYN to calculate concentrations of radionuclides in air inhaled by a receptor and concentrations in air surrounding crops. Concentrations in air to which the receptor is exposed are then used in the inhalation submodel to calculate the dose contribution to the receptor from inhalation of contaminated airborne particles. Concentrations in air surrounding plants are used in the plant submodel to calculate the concentrations of radionuclides in foodstuffs contributed from uptake by foliar interception.

  17. Thorough analysis of input physics in CESAM and CLES codes

    E-Print Network [OSTI]

    Josefina Montalban; Yveline Lebreton; Andrea Miglio; Richard Scuflaire; Pierre Morel; Arlette Noels

    2008-04-14T23:59:59.000Z

    This contribution is not about the quality of the agreement between stellar models computed by CESAM and CLES codes, but more interesting, on what ESTA-Task~1 run has taught us about these codes and about the input physics they use. We also quantify the effects of different implementations of the same physics on the seismic properties of the stellar models, that in fact is the main aim of ESTA experiments.

  18. A probabilistic graphical model based stochastic input model construction

    SciTech Connect (OSTI)

    Wan, Jiang [Materials Process Design and Control Laboratory, Sibley School of Mechanical and Aerospace Engineering, 101 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States); Zabaras, Nicholas, E-mail: nzabaras@gmail.com [Materials Process Design and Control Laboratory, Sibley School of Mechanical and Aerospace Engineering, 101 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States); Center for Applied Mathematics, 657 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States)

    2014-09-01T23:59:59.000Z

    Model reduction techniques have been widely used in modeling of high-dimensional stochastic input in uncertainty quantification tasks. However, the probabilistic modeling of random variables projected into reduced-order spaces presents a number of computational challenges. Due to the curse of dimensionality, the underlying dependence relationships between these random variables are difficult to capture. In this work, a probabilistic graphical model based approach is employed to learn the dependence by running a number of conditional independence tests using observation data. Thus a probabilistic model of the joint PDF is obtained and the PDF is factorized into a set of conditional distributions based on the dependence structure of the variables. The estimation of the joint PDF from data is then transformed to estimating conditional distributions under reduced dimensions. To improve the computational efficiency, a polynomial chaos expansion is further applied to represent the random field in terms of a set of standard random variables. This technique is combined with both linear and nonlinear model reduction methods. Numerical examples are presented to demonstrate the accuracy and efficiency of the probabilistic graphical model based stochastic input models. - Highlights: Data-driven stochastic input models without the assumption of independence of the reduced random variables. The problem is transformed to a Bayesian network structure learning problem. Examples are given in flows in random media.

  19. Eagle Mountain Watershed: Calibration, Validation, and Best Management Practices

    E-Print Network [OSTI]

    Lee, Taesoo; Narasimhan, Balaji; Srinivasan, Raqhavan

    from WWTP of Boyd Daily Loads Flow (m3) TN (kg) TP (kg) Jan-02 262.22 2.60 0.40 Feb-02 314.26 4.97 0.77 Mar-02 335.74 5.36 1.00 Apr-02 341.79 1.27 1.22 May-02 327.19 1.15 0.29 Jun-02 270.73 0.45 0.24 Jul-02 279.61 1.06 0.19 Aug-02 274.05 0....23 4.52 Mar-02 2923.10 11.67 2.61 Apr-02 2057.62 15.15 1.58 May-02 2143.35 12.97 1.44 Jun-02 2347.75 24.82 6.31 Jul-02 2283.40 40.05 11.17 Aug-02 2211.48 39.17 6.63 Sep-02 2061.02 41.98 4.91 Oct-02 2167.39 29.69 4.36 Nov-02 2164.17 7.46 2...

  20. FACILITIES INFORMATION MANAGEMENT SYSTEM (FIMS) DATA VALIDATION GUIDANCE

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeat PumpRecord ofESPCof EnergyHouse11forPre-Application (IIP)atReduction;'

  1. Impact of Battery Management on Fuel Efficiency Validity | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeatMulti-Dimensionalthe U.S. Department-2023 Idaho4 AUDIT

  2. Data collection and management of a mobile sensor platform

    E-Print Network [OSTI]

    Rosenfeld, Abraham M

    2013-01-01T23:59:59.000Z

    This thesis explores the development of a platform to better collect and manage data from multiple senor inputs mounted on a car sensor platform. Specifically, focusing on the collection and synchronization of multiple ...

  3. Price Risk Management in the Midst of a Credit Crisis

    E-Print Network [OSTI]

    Welch, Mark; Amosson, Stephen H.; Robinson, John; Falconer, Lawrence

    2009-03-26T23:59:59.000Z

    Agricultural producers today face volatile markets, tight credit, economic uncertainty and escalating input costs. Understanding and using risk management tools in this environment can reduce much of the price risk and may improve financial returns....

  4. Validation of Criticality Safety Calculations with SCALE 6.2

    SciTech Connect (OSTI)

    Marshall, William BJ J [ORNL] [ORNL; Wiarda, Dorothea [ORNL] [ORNL; Celik, Cihangir [ORNL] [ORNL; Rearden, Bradley T [ORNL] [ORNL

    2013-01-01T23:59:59.000Z

    SCALE 6.2 provides numerous updates in nuclear data, nuclear data processing, and computational tools utilized in the criticality safety calculational sequences relative to SCALE 6.1. A new 252-group ENDF/B-VII.0 multigroup neutron library, improved ENDF/B-VII.0 continuous energy data, as well as the previously deployed 238-group ENDF/B-VII.0 neutron library are included in SCALE 6.2 for criticality safety analysis. The performance of all three libraries for keff calculations is examined with a broad sampling of critical experiment models covering a range of fuels and moderators. Critical experiments from the International Handbook of Evaluated Criticality Safety Benchmark Experiments (IHECSBE) that are available in the SCALE Verified, Archived Library of Inputs and Data (VALID) are used in this validation effort. Over 300 cases are used in the validation of KENO V.a, and a more limited set of approximately 50 configurations are used for KENO-VI validation. Additionally, some KENO V.a cases are converted to KENO-VI models so that an equivalent set of experiments can be used to validate both codes. For continuous-energy calculations, SCALE 6.2 provides improved performance relative to SCALE 6.1 in most areas with notable improvements in fuel pin lattice cases, particularly those with mixed oxide fuel. Multigroup calculations with the 252-group library also demonstrate improved performance for fuel lattices, uranium (high and intermediate enrichment) and plutonium metal experiments, and plutonium solution systems. Overall, SCALE 6.2 provides equivalent or smaller biases than SCALE 6.1, and the two versions of KENO provide similar results on the same suite of problems.

  5. Using Whole-House Field Tests to Empirically Derive Moisture Buffering Model Inputs

    SciTech Connect (OSTI)

    Woods, J.; Winkler, J.; Christensen, D.; Hancock, E.

    2014-08-01T23:59:59.000Z

    Building energy simulations can be used to predict a building's interior conditions, along with the energy use associated with keeping these conditions comfortable. These models simulate the loads on the building (e.g., internal gains, envelope heat transfer), determine the operation of the space conditioning equipment, and then calculate the building's temperature and humidity throughout the year. The indoor temperature and humidity are affected not only by the loads and the space conditioning equipment, but also by the capacitance of the building materials, which buffer changes in temperature and humidity. This research developed an empirical method to extract whole-house model inputs for use with a more accurate moisture capacitance model (the effective moisture penetration depth model). The experimental approach was to subject the materials in the house to a square-wave relative humidity profile, measure all of the moisture transfer terms (e.g., infiltration, air conditioner condensate) and calculate the only unmeasured term: the moisture absorption into the materials. After validating the method with laboratory measurements, we performed the tests in a field house. A least-squares fit of an analytical solution to the measured moisture absorption curves was used to determine the three independent model parameters representing the moisture buffering potential of this house and its furnishings. Follow on tests with realistic latent and sensible loads showed good agreement with the derived parameters, especially compared to the commonly-used effective capacitance approach. These results show that the EMPD model, once the inputs are known, is an accurate moisture buffering model.

  6. Survivability validation protocol issues for a system-of-systems

    SciTech Connect (OSTI)

    Brock, G.; Ianacone, K.J.; Stringer, T.A. [Kaman Sciences Corp., Colorado Springs, CO (United States)

    1993-08-01T23:59:59.000Z

    This paper illuminates the various issues confronting a protocol developer as he attempts to construct a system-of-systems (SOS) survivability validation protocol. These issues are considered in the context of a Battle Management Command, Control, and Communications (BMC{sup 3}) network in the form of a Hypothetical System Architecture consisting of air, sea, ground, and space platforms. The purpose of the protocol of concem is to validate the nuclear survivability of the BMC{sup 3} SOS. To achieve this validation, the combined susceptibilities of the SOS platforms and communications links must be considered. A basic SOS simulation concept is described, which assumes individual platform survivability. The nuclear environments to be considered in the simulation are outlined with a discussion of the relationship to basic system susceptibility. Various validation concepts for the SOS protocol are summarized in relation to the life cycle phase during which they would be utilized. Computer simulation issues are discussed, including the environments to be modeled, validation of the codes, documentation, and configuration control. Concluding remarks center on the most likely way of simulating nuclear effects and on treating simulation tools like mission critical items.

  7. Methodology for Validating Building Energy Analysis Simulations

    SciTech Connect (OSTI)

    Judkoff, R.; Wortman, D.; O'Doherty, B.; Burch, J.

    2008-04-01T23:59:59.000Z

    The objective of this report was to develop a validation methodology for building energy analysis simulations, collect high-quality, unambiguous empirical data for validation, and apply the validation methodology to the DOE-2.1, BLAST-2MRT, BLAST-3.0, DEROB-3, DEROB-4, and SUNCAT 2.4 computer programs. This report covers background information, literature survey, validation methodology, comparative studies, analytical verification, empirical validation, comparative evaluation of codes, and conclusions.

  8. Measures of agreement between computation and experiment:validation metrics.

    SciTech Connect (OSTI)

    Barone, Matthew Franklin; Oberkampf, William Louis

    2005-08-01T23:59:59.000Z

    With the increasing role of computational modeling in engineering design, performance estimation, and safety assessment, improved methods are needed for comparing computational results and experimental measurements. Traditional methods of graphically comparing computational and experimental results, though valuable, are essentially qualitative. Computable measures are needed that can quantitatively compare computational and experimental results over a range of input, or control, variables and sharpen assessment of computational accuracy. This type of measure has been recently referred to as a validation metric. We discuss various features that we believe should be incorporated in a validation metric and also features that should be excluded. We develop a new validation metric that is based on the statistical concept of confidence intervals. Using this fundamental concept, we construct two specific metrics: one that requires interpolation of experimental data and one that requires regression (curve fitting) of experimental data. We apply the metrics to three example problems: thermal decomposition of a polyurethane foam, a turbulent buoyant plume of helium, and compressibility effects on the growth rate of a turbulent free-shear layer. We discuss how the present metrics are easily interpretable for assessing computational model accuracy, as well as the impact of experimental measurement uncertainty on the accuracy assessment.

  9. A comparative study of avionics control input methods

    E-Print Network [OSTI]

    Barber, John Robert

    1984-01-01T23:59:59.000Z

    Standardization of avionics locations in early models of small general aviation aircraft was almost non-existent, due largely to limited panel space and lack of human engineering considerations. Aircraft were typically purchased with a limited avionics package... Major Subject: Industrial Engineering A COMPARATIVE STUDY OF AVIONICS CONTROL INPUT METHODS A Thesis by JOHN ROBERT BARBER, JR. Approved as to style and content by: C airman of C ittee Dr. R. Dale H ingson Co-ch i n Dr. Rodger J. Koppa Member...

  10. Inhalation Exposure Input Parameters for the Biosphere Model

    SciTech Connect (OSTI)

    M. Wasiolek

    2006-06-05T23:59:59.000Z

    This analysis is one of the technical reports that support the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), referred to in this report as the biosphere model. ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the conceptual model as well as the mathematical model and its input parameters. This report documents development of input parameters for the biosphere model that are related to atmospheric mass loading and supports the use of the model to develop biosphere dose conversion factors (BDCFs). The biosphere model is one of a series of process models supporting the total system performance assessment (TSPA) for a Yucca Mountain repository. ''Inhalation Exposure Input Parameters for the Biosphere Model'' is one of five reports that develop input parameters for the biosphere model. A graphical representation of the documentation hierarchy for the biosphere model is presented in Figure 1-1 (based on BSC 2006 [DIRS 176938]). This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and how this analysis report contributes to biosphere modeling. This analysis report defines and justifies values of atmospheric mass loading for the biosphere model. Mass loading is the total mass concentration of resuspended particles (e.g., dust, ash) in a volume of air. Mass loading values are used in the air submodel of the biosphere model to calculate concentrations of radionuclides in air inhaled by a receptor and concentrations in air surrounding crops. Concentrations in air to which the receptor is exposed are then used in the inhalation submodel to calculate the dose contribution to the receptor from inhalation of contaminated airborne particles. Concentrations in air surrounding plants are used in the plant submodel to calculate the concentrations of radionuclides in foodstuffs contributed from uptake by foliar interception. This report is concerned primarily with the physical attributes of airborne particulate matter, such as the airborne concentrations of particles and their sizes. The conditions of receptor exposure (duration of exposure in various microenvironments), breathing rates, and dosimetry of inhaled particulates are discussed in more detail in ''Characteristics of the Receptor for the Biosphere Model'' (BSC 2005 [DIRS 172827]).

  11. Characterization of industrial process waste heat and input heat streams

    SciTech Connect (OSTI)

    Wilfert, G.L.; Huber, H.B.; Dodge, R.E.; Garrett-Price, B.A.; Fassbender, L.L.; Griffin, E.A.; Brown, D.R.; Moore, N.L.

    1984-05-01T23:59:59.000Z

    The nature and extent of industrial waste heat associated with the manufacturing sector of the US economy are identified. Industry energy information is reviewed and the energy content in waste heat streams emanating from 108 energy-intensive industrial processes is estimated. Generic types of process equipment are identified and the energy content in gaseous, liquid, and steam waste streams emanating from this equipment is evaluated. Matchups between the energy content of waste heat streams and candidate uses are identified. The resultant matrix identifies 256 source/sink (waste heat/candidate input heat) temperature combinations. (MHR)

  12. New Hampshire Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) in KansasYear Jan FebYear Jan FebInput Supplemental

  13. New Jersey Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) in KansasYear Jan FebYearDecadeYear Jan FebInput

  14. New York Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) in KansasYearDecadeYearDecade Year-0Input Supplemental

  15. North Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecade Year-0 Year-18 2.415 - -Decade Year-0Input

  16. North Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecade Year-0Feet) Decade Year-0DecadeInput

  17. Ohio Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecadeDecade Year-0YearSalesDecadeInput Supplemental

  18. Oregon Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)Decade Year-0 Year-1 Year-2 Year-3 Year-4Input

  19. Pennsylvania Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)Decade Year-0Sales (BillionDecade Year-0Input

  20. Virginia Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYearTexas--StateWinterYear JanWellheadProvedDecade Year-0Input

  1. Rhode Island Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear Jan FebThousand Cubic Feet)Year Jan Feb Mar Apr May JunInput

  2. South Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear Jan FebThousand Cubic Feet)Year7,Cubic Foot)Year JanInput

  3. Tennessee Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear Jan FebThousand CubicinResidualU.S.containsDecade Year-0YearInput

  4. Arizona Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYear JanYear JanFeet)Year Jan Feb MarInput

  5. Total Refinery Net Input of Crude Oil and Petroleum Products

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. NaturalA. Michael SchaalNovember 26, 2008 (Next1,Product:Country: TotalInput

  6. Nebraska Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA,0, 2010Foot)Year JanInput

  7. Michigan Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team: Kay Smith,Foot) Decade Year-0Year Jan FebInput

  8. Missouri Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team: Kay6 KentuckyYear Jan FebInput Supplemental Fuels

  9. Maryland Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team: Kay Smith, RussFoot) Decade Year-0%YearInput

  10. Massachusetts Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team: Kay Smith, RussFoot)per% ofInput Supplemental

  11. Colorado Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import96 4.87 1967-2010 ImportsCubicDecade Year-0 Year-1YearInput

  12. Connecticut Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import96 4.87CBECS Public Use Data CBECSYear Jan FebYear JanInput

  13. Delaware Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import96 4.87CBECS Public Use Data0 0 0 00/03)% ofYear JanInput

  14. Hawaii Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam CoalReserves (Million Barrels)Reserves from% of TotalYear JanInput

  15. Illinois Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam CoalReserves (Million Barrels)Reserves%Foot) YearYear JanInput

  16. Iowa Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam CoalReserves (MillionYear Jan Feb MarFoot) Year Jan FebYearInput

  17. Empirical validation of the thermal model of a passive solar cell test

    E-Print Network [OSTI]

    Mara, T A; Boyer, H; Mamode, M

    2012-01-01T23:59:59.000Z

    The paper deals with an empirical validation of a building thermal model. We put the emphasis on sensitivity analysis and on research of inputs/residual correlation to improve our model. In this article, we apply a sensitivity analysis technique in the frequency domain to point out the more important parameters of the model. Then, we compare measured and predicted data of indoor dry-air temperature. When the model is not accurate enough, recourse to time-frequency analysis is of great help to identify the inputs responsible for the major part of error. In our approach, two samples of experimental data are required. The first one is used to calibrate our model the second one to really validate the optimized model

  18. Computer memory management system

    DOE Patents [OSTI]

    Kirk, III, Whitson John (Greenwood, MO)

    2002-01-01T23:59:59.000Z

    A computer memory management system utilizing a memory structure system of "intelligent" pointers in which information related to the use status of the memory structure is designed into the pointer. Through this pointer system, The present invention provides essentially automatic memory management (often referred to as garbage collection) by allowing relationships between objects to have definite memory management behavior by use of coding protocol which describes when relationships should be maintained and when the relationships should be broken. In one aspect, the present invention system allows automatic breaking of strong links to facilitate object garbage collection, coupled with relationship adjectives which define deletion of associated objects. In another aspect, The present invention includes simple-to-use infinite undo/redo functionality in that it has the capability, through a simple function call, to undo all of the changes made to a data model since the previous `valid state` was noted.

  19. Heat transfer analysis in Stirling engine heat input system

    SciTech Connect (OSTI)

    Chung, W.; Kim, S. [LG Electronics Inc., Seoul (Korea, Republic of). Living System Lab.

    1995-12-31T23:59:59.000Z

    One of the major factor in commercialization of Stirling engine is mass productivity, and the heat input system including tubular heater is one of the obstacles to mass production because of its complexity in shape and difficulty in manufacturing, which resulted from using oxidation-resistant, low-creep alloys which are not easy to machine and weld. Therefore a heater heat exchanger which is very simple in shape and easy to make has been devised, and a burner system appropriate to this heater also has been developed. In this paper specially devised heat input system which includes a heater shell shaped like U-cup and a flame tube located in the heater shell is analyzed in point of heat transfer processes to find optimum heat transfer. To enhance the heat transfer from the flame tube to the heater shell wall, it is required that the flame tube diameter be enlarged as close to the heater shell diameter as possible, and the flame tube temperature be raised as high as possible. But the enlargement of the flame tube diameter should be restricted by the state of combustion affected by hydraulic resistance of combustion gas, and the boost of the flame tube temperature should be considered carefully in the aspects of the flame tube`s service life.

  20. Residential oil burners with low input and two stages firing

    SciTech Connect (OSTI)

    Butcher, T.; Krajewski, R.; Leigh, R. [and others

    1997-12-31T23:59:59.000Z

    The residential oil burner market is currently dominated by the pressure-atomized, retention head burner. At low firing rates pressure atomizing nozzles suffer rapid fouling of the small internal passages, leading to bad spray patterns and poor combustion performance. To overcome the low input limitations of conventional burners, a low pressure air-atomized burner has been developed watch can operate at fining rates as low as 0.25 gallons of oil per hour (10 kW). In addition, the burner can be operated in a high/low fining rate mode. Field tests with this burner have been conducted at a fixed input rate of 0.35 gph (14 kW) with a side-wall vented boiler/water storage tank combination. At the test home, instrumentation was installed to measure fuel and energy flows and record trends in system temperatures. Laboratory efficiency testing with water heaters and boilers has been completed using standard single purpose and combined appliance test procedures. The tests quantify benefits due to low firing rates and other burner features. A two stage oil burner gains a strong advantage in rated efficiency while maintaining capacity for high domestic hot water and space heating loads.

  1. Model validation and uncertainty analysis -- An example using a nitrate percolation model

    SciTech Connect (OSTI)

    Mummert, M.C. [R.E. Wright Environmental, Inc., Middletown, PA (United States)

    1996-12-31T23:59:59.000Z

    Model validation and uncertainty analysis are demonstrated using a model previously developed for estimating nitrate-nitrogen (nitrate) concentrations in percolation water from land application of sewage sludge. The objectives are to demonstrate alternate validation techniques and to analyze uncertainty associated with model use following validation. Field data from three published sludge application studies and two separate methods are used for the validation. The first method, point validation, is accomplished by inserting mean values into the model to make point predictions. Model accuracy is then assessed by calculating coefficient of determination (r{sup 2}), relative error and standard error. Statistical accuracy is tested using the Wilcoxon Signed Rank Test. The second method, statistical validation, uses Monte Carlo simulation to obtain distributions of model predictions. The hypothesis that field data represent reasonable samples from the distribution of model predictions is tested by checking whether observed values are within a range bounded by the 5 and 95% quantities of the distribution. Both validation methods demonstrate that the land application model generally overestimates nitrate concentrations. Monte Carlo simulation is used to identify which model input parameters are the largest contributors to the uncertainty in model predictions.

  2. Model Validation with Hybrid Dynamic Simulation

    SciTech Connect (OSTI)

    Huang, Zhenyu; Kosterev, Dmitry; Guttromson, Ross T.; Nguyen, Tony B.

    2006-06-18T23:59:59.000Z

    AbstractModel validation has been one of the central topics in power engineering studies for years. As model validation aims at obtaining reasonable models to represent actual behavior of power system components, it has been essential to validate models against actual measurements or known benchmark behavior. System-wide model simulation results can be compared with actual recordings. However, it is difficult to construct a simulation case for a large power system such as the WECC system and to narrow down to problematic models in a large system. Hybrid dynamic simulation with its capability of injecting external signals into dynamic simulation enables rigorous comparison of measurements and simulation in a small subsystem of interest. This paper presents such a model validation methodology with hybrid dynamic simulation. Two application examples on generator and load model validation are presented to show the validity of this model validation methodology. This methodology is further extended for automatic model validation and dichotomous subsystem model validation.

  3. SUBCONTRACT MANAGEMENT

    Energy Savers [EERE]

    0-1 CHAPTER 10 SUBCONTRACT MANAGEMENT (Revised October 19, 2011) WHAT ARE THE BASIC PRINCIPLES AND OBJECTIVES OF SUBCONTRACT MANAGEMENT? 1. To ensure contractors establish,...

  4. Soil-Related Input Parameters for the Biosphere Model

    SciTech Connect (OSTI)

    A. J. Smith

    2004-09-09T23:59:59.000Z

    This report presents one of the analyses that support the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN). The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes the details of the conceptual model as well as the mathematical model and the required input parameters. The biosphere model is one of a series of process models supporting the postclosure Total System Performance Assessment (TSPA) for the Yucca Mountain repository. A schematic representation of the documentation flow for the Biosphere input to TSPA is presented in Figure 1-1. This figure shows the evolutionary relationships among the products (i.e., analysis and model reports) developed for biosphere modeling, and the biosphere abstraction products for TSPA, as identified in the ''Technical Work Plan for Biosphere Modeling and Expert Support'' (TWP) (BSC 2004 [DIRS 169573]). This figure is included to provide an understanding of how this analysis report contributes to biosphere modeling in support of the license application, and is not intended to imply that access to the listed documents is required to understand the contents of this report. This report, ''Soil-Related Input Parameters for the Biosphere Model'', is one of the five analysis reports that develop input parameters for use in the ERMYN model. This report is the source documentation for the six biosphere parameters identified in Table 1-1. The purpose of this analysis was to develop the biosphere model parameters associated with the accumulation and depletion of radionuclides in the soil. These parameters support the calculation of radionuclide concentrations in soil from on-going irrigation or ash deposition and, as a direct consequence, radionuclide concentration in other environmental media that are affected by radionuclide concentrations in soil. The analysis was performed in accordance with the TWP (BSC 2004 [DIRS 169573]) where the governing procedure was defined as AP-SIII.9Q, ''Scientific Analyses''. This analysis revises the previous version with the same name (BSC 2003 [DIRS 161239]), which was itself a revision of one titled ''Evaluate Soil/Radionuclide Removal by Erosion and Leaching'' (CRWMS M&O 2001 [DIRS 152517]). In Revision 00 of this report, the data generated were fixed values (i.e., taking no account of uncertainty and variability). Revision 01 (BSC 2003 [DIRS 161239]) incorporated uncertainty and variability into the values for the bulk density, elemental partition coefficients, average annual loss of soil from erosion, resuspension enhancement factor, and field capacity water content. The current revision of this document improves the transparency and traceability of the products without changing the details of the analysis. This analysis report supports the treatment of six of the features, events, and processes (FEPs) applicable to the Yucca Mountain reference biosphere (DTN: MO0407SEPFEPLA.000 [DIRS 170760]). The use of the more recent FEP list in DTN: MO0407SEPFEPLA.000 [DIRS 170760] represents a deviation from the detail provided in the TWP (BSC 2004 [DIRS 169573]), which referenced a previous version of the FEP list. The parameters developed in this report support treatment of these six FEPs addressed in the biosphere model that are listed in Table 1-1. Inclusion and treatment of FEPs in the biosphere model is described in the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460], Section 6.2).

  5. Process and Intermediate Calculations User AccessInputs Outputs

    E-Print Network [OSTI]

    density, canopy base height, fuel moisture) · Weather · Fire History · Ignition History Analytic Models Behavior · DEM (Elevation, slope, aspect) · Vegetation (Fuel models, crown cover, stand height, bulk Smoke Analysis Management of Unplanned Ignitions: Each cell is evaluated using a probabilistic footprint

  6. A Digital PFC Controller without Input Voltage Sensing

    E-Print Network [OSTI]

    of applications that are required to meet the EN61000-3-2 standard. At low-to-medium power levels, the transition compared to the transition-mode control. With the motivation of simplicity comparable to transition available controllers [7, 8]. Digital PFC controllers, offering improved system interface, power management

  7. Banded Matrix Fraction Representation of Triangular Input Normal Pairs

    E-Print Network [OSTI]

    , 15, 14]. In this approach, the #3; S.A.C. Capital Management, LLC, 540 Madison Ave, New York, NY state transition matrix and B is a n #2; d matrix with n #21; d. Let C be the p #2; n matrix whose kth develop a computationally convenient representation of the state transition matrices that arise from

  8. Evolving desiderata for validating engineered-physics systems without full-scale testing

    SciTech Connect (OSTI)

    Langenbrunner, James R [Los Alamos National Laboratory; Booker, Jane M [Los Alamos National Laboratory; Hemez, Francois M [Los Alamos National Laboratory; Ross, Timothy J [Los Alamos National Laboratory

    2010-01-01T23:59:59.000Z

    Theory and principles of engineered-physics designs do not change over time, but the actual engineered product does evolve. Engineered components are prescient to the physics and change with time. Parts are never produced exactly as designed, assembled as designed, or remain unperturbed over time. For this reason, validation of performance may be regarded as evolving over time. Desired use of products evolves with time. These pragmatic realities require flexibility, understanding, and robustness-to-ignorance. Validation without full-scale testing involves engineering, small-scale experiments, physics theory and full-scale computer-simulation validation. We have previously published an approach to validation without full-scale testing using information integration, small-scale tests, theory and full-scale simulations [Langenbrunner et al. 2008]. This approach adds value, but also adds complexity and uncertainty due to inference. We illustrate a validation example that manages evolving desiderata without full-scale testing.

  9. E-Print Network 3.0 - ac input power Sample Search Results

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

    factor with high total harmonic... input cur- rent shape at near unity power factor. Advantages of the proposed topology are: no dc... as well as input supply variations. Matrix...

  10. Methods for Rapid Estimation of Motor Input Power in HVAC Assessments

    E-Print Network [OSTI]

    Christman, Kevin D.

    2011-08-08T23:59:59.000Z

    In preliminary building energy assessments, it is often desired to estimate a motor's input power. Motor power estimates in this context should be rapid, safe, and noninvasive. Existing methods for motor input power estimation, such as direct...

  11. Spatial Interference Mitigation for Multiple Input Multiple Output Ad Hoc Networks: MISO Gains

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Spatial Interference Mitigation for Multiple Input Multiple Output Ad Hoc Networks: MISO Gains beamforming for a multiple input single output (MISO) ad hoc network to increase the density of successful

  12. Conference Management

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1999-11-03T23:59:59.000Z

    To establish requirements and responsibilities with respect to managing conferences sponsored by the Department of Energy (DOE) or by DOE management and operating contractors and other contractors who perform work at DOE-owned or -leased facilities, including management and integration contractors and environmental restoration management contractors (when using funds that will be reimbursed by DOE). Cancels DOE N 110.3.

  13. Validation of a Hot Water Distribution Model Using Laboratory and Field Data

    SciTech Connect (OSTI)

    Backman, C.; Hoeschele, M.

    2013-07-01T23:59:59.000Z

    Characterizing the performance of hot water distribution systems is a critical step in developing best practice guidelines for the design and installation of high performance hot water systems. Developing and validating simulation models is critical to this effort, as well as collecting accurate input data to drive the models. In this project, the ARBI team validated the newly developed TRNSYS Type 604 pipe model against both detailed laboratory and field distribution system performance data. Validation efforts indicate that the model performs very well in handling different pipe materials, insulation cases, and varying hot water load conditions. Limitations of the model include the complexity of setting up the input file and long simulation run times. In addition to completing validation activities, this project looked at recent field hot water studies to better understand use patterns and potential behavioral changes as homeowners convert from conventional storage water heaters to gas tankless units. Based on these datasets, we conclude that the current Energy Factor test procedure overestimates typical use and underestimates the number of hot water draws. This has implications for both equipment and distribution system performance. Gas tankless water heaters were found to impact how people use hot water, but the data does not necessarily suggest an increase in usage. Further study in hot water usage and patterns is needed to better define these characteristics in different climates and home vintages.

  14. Modeling and Validation of Pipeline Specifications

    E-Print Network [OSTI]

    Mishra, Prabhat

    -on-Chip design process. Many existing approaches employ a bottom-up approach to pipeline validation, where description language (ADL) constructs, and thus allows a powerful top-down approach to pipeline validationModeling and Validation of Pipeline Specifications PRABHAT MISHRA and NIKIL DUTT University

  15. On the Wind Power Input to the Ocean General Circulation XIAOMING ZHAI

    E-Print Network [OSTI]

    Johnson, Helen

    On the Wind Power Input to the Ocean General Circulation XIAOMING ZHAI Atmospheric, Oceanic January 2012, in final form 3 May 2012) ABSTRACT The wind power input to the ocean general circulation is usually calculated from the time-averaged wind products. Here, this wind power input is reexamined using

  16. Annex 3 Resource Management Review The following questions will be addressed by the Resource Management Review

    E-Print Network [OSTI]

    Management Review: Work Breakdown Structure Is there a valid work breakdown structure? Does it coverAnnex 3 ­ Resource Management Review The following questions will be addressed by the Resource the complete project? Are there work package (WP) descriptions? Are these detailed enough? Do they have WP

  17. Environmental Transport Input Parameters for the Biosphere Model

    SciTech Connect (OSTI)

    M. A. Wasiolek

    2003-06-27T23:59:59.000Z

    This analysis report is one of the technical reports documenting the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN), a biosphere model supporting the total system performance assessment (TSPA) for the geologic repository at Yucca Mountain. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows relationships among the reports developed for biosphere modeling and biosphere abstraction products for the TSPA, as identified in the ''Technical Work Plan: for Biosphere Modeling and Expert Support'' (TWP) (BSC 2003 [163602]). Some documents in Figure 1-1 may be under development and not available when this report is issued. This figure provides an understanding of how this report contributes to biosphere modeling in support of the license application (LA), but access to the listed documents is not required to understand the contents of this report. This report is one of the reports that develops input parameter values for the biosphere model. The ''Biosphere Model Report'' (BSC 2003 [160699]) describes the conceptual model, the mathematical model, and the input parameters. The purpose of this analysis is to develop biosphere model parameter values related to radionuclide transport and accumulation in the environment. These parameters support calculations of radionuclide concentrations in the environmental media (e.g., soil, crops, animal products, and air) resulting from a given radionuclide concentration at the source of contamination (i.e., either in groundwater or volcanic ash). The analysis was performed in accordance with the TWP (BSC 2003 [163602]). This analysis develops values of parameters associated with many features, events, and processes (FEPs) applicable to the reference biosphere (DTN: M00303SEPFEPS2.000 [162452]), which are addressed in the biosphere model (BSC 2003 [160699]). The treatment of these FEPs is described in BSC (2003 [160699], Section 6.2). Parameter values developed in this report, and the related FEPs, are listed in Table 1-1. The relationship between the parameters and FEPs was based on a comparison of the parameter definition and the FEP descriptions as presented in BSC (2003 [160699], Section 6.2). The parameter values developed in this report support the biosphere model and are reflected in the TSPA through the biosphere dose conversion factors (BDCFs). Biosphere modeling focuses on radionuclides screened for the TSPA-LA (BSC 2002 [160059]). The same list of radionuclides is used in this analysis (Section 6.1.4). The analysis considers two human exposure scenarios (groundwater and volcanic ash) and climate change (Section 6.1.5). This analysis combines and revises two previous reports, ''Transfer Coefficient Analysis'' (CRWMS M&O 2000 [152435]) and ''Environmental Transport Parameter Analysis'' (CRWMS M&O 2001 [152434]), because the new ERMYN biosphere model requires a redefined set of input parameters. The scope of this analysis includes providing a technical basis for the selection of radionuclide- and element-specific biosphere parameters (except for Kd) that are important for calculating BDCFs based on the available radionuclide inventory abstraction data. The environmental transport parameter values were developed specifically for use in the biosphere model and may not be appropriate for other applications.

  18. We have developed a software system that takes standard electro-cardiogram (ECG) input and interprets this input along with user-

    E-Print Network [OSTI]

    O'Sullivan, Carol

    a software system that takes standard electro- cardiogram (ECG) input and interprets this input along months 30 patients were monitored using a digital ECG system and this information was used to test that T wave inversions are sometimes seen on normal ECGs. Control ECGs of normal hearts were also taken

  19. Development of Earthquake Ground Motion Input for Preclosure Seismic Design and Postclosure Performance Assessment of a Geologic Repository at Yucca Mountain, NV

    SciTech Connect (OSTI)

    I. Wong

    2004-11-05T23:59:59.000Z

    This report describes a site-response model and its implementation for developing earthquake ground motion input for preclosure seismic design and postclosure assessment of the proposed geologic repository at Yucca Mountain, Nevada. The model implements a random-vibration theory (RVT), one-dimensional (1D) equivalent-linear approach to calculate site response effects on ground motions. The model provides results in terms of spectral acceleration including peak ground acceleration, peak ground velocity, and dynamically-induced strains as a function of depth. In addition to documenting and validating this model for use in the Yucca Mountain Project, this report also describes the development of model inputs, implementation of the model, its results, and the development of earthquake time history inputs based on the model results. The purpose of the site-response ground motion model is to incorporate the effects on earthquake ground motions of (1) the approximately 300 m of rock above the emplacement levels beneath Yucca Mountain and (2) soil and rock beneath the site of the Surface Facilities Area. A previously performed probabilistic seismic hazard analysis (PSHA) (CRWMS M&O 1998a [DIRS 103731]) estimated ground motions at a reference rock outcrop for the Yucca Mountain site (Point A), but those results do not include these site response effects. Thus, the additional step of applying the site-response ground motion model is required to develop ground motion inputs that are used for preclosure and postclosure purposes.

  20. Combined Effects of Gravity, Bending Moment, Bearing Clearance, and Input Torque on Wind Turbine Planetary Gear Load Sharing: Preprint

    SciTech Connect (OSTI)

    Guo, Y.; Keller, J.; LaCava, W.

    2012-09-01T23:59:59.000Z

    This computational work investigates planetary gear load sharing of three-mount suspension wind turbine gearboxes. A three dimensional multibody dynamic model is established, including gravity, bending moments, fluctuating mesh stiffness, nonlinear tooth contact, and bearing clearance. A flexible main shaft, planetary carrier, housing, and gear shafts are modeled using reduced degrees-of-freedom through modal compensation. This drivetrain model is validated against the experimental data of Gearbox Reliability Collaborative for gearbox internal loads. Planet load sharing is a combined effect of gravity, bending moment, bearing clearance, and input torque. Influences of each of these parameters and their combined effects on the resulting planet load sharing are investigated. Bending moments and gravity induce fundamental excitations in the rotating carrier frame, which can increase gearbox internal loads and disturb load sharing. Clearance in carrier bearings reduces the bearing load carrying capacity and thus the bending moment from the rotor can be transmitted into gear meshes. With bearing clearance, the bending moment can cause tooth micropitting and can induce planet bearing fatigue, leading to reduced gearbox life. Planet bearings are susceptible to skidding at low input torque.

  1. Interface module for transverse energy input to dye laser modules

    DOE Patents [OSTI]

    English, R.E. Jr.; Johnson, S.A.

    1994-10-11T23:59:59.000Z

    An interface module for transverse energy input to dye laser modules is provided particularly for the purpose of delivering enhancing transverse energy beams in the form of illumination bar to the lasing zone of a dye laser device, in particular to a dye laser amplifier. The preferred interface module includes an optical fiber array having a plurality of optical fibers arrayed in a co-planar fashion with their distal ends receiving coherent laser energy from an enhancing laser source, and their proximal ends delivered into a relay structure. The proximal ends of the optical fibers are arrayed so as to be coplanar and to be aimed generally at a common point. The transverse energy beam array delivered from the optical fiber array is acted upon by an optical element array to produce an illumination bar which has a cross section in the form of a elongated rectangle at the position of the lasing window. The illumination bar is selected to have substantially uniform intensity throughout. 5 figs.

  2. Interface module for transverse energy input to dye laser modules

    DOE Patents [OSTI]

    English, Jr., Ronald E. (Tracy, CA); Johnson, Steve A. (Tracy, CA)

    1994-01-01T23:59:59.000Z

    An interface module (10) for transverse energy input to dye laser modules is provided particularly for the purpose of delivering enhancing transverse energy beams (36) in the form of illumination bar (54) to the lasing zone (18) of a dye laser device, in particular to a dye laser amplifier (12). The preferred interface module (10) includes an optical fiber array (30) having a plurality of optical fibers (38) arrayed in a co-planar fashion with their distal ends (44) receiving coherent laser energy from an enhancing laser source (46), and their proximal ends (4) delivered into a relay structure (3). The proximal ends (42) of the optical fibers (38) are arrayed so as to be coplanar and to be aimed generally at a common point. The transverse energy beam array (36) delivered from the optical fiber array (30) is acted upon by an optical element array (34) to produce an illumination bar (54) which has a cross section in the form of a elongated rectangle at the position of the lasing window (18). The illumination bar (54) is selected to have substantially uniform intensity throughout.

  3. Model Validation with Hybrid Dynamic Simulation

    SciTech Connect (OSTI)

    Huang, Zhenyu; Kosterev, Dmitry; Guttromson, Ross T.; Nguyen, Tony B.

    2006-06-22T23:59:59.000Z

    AbstractModel validation has been one of the central topics in power engineering studies for years. As model validation aims at obtaining reasonable models to represent actual behavior of power system components, it has been essential to validate models against actual measurements or known benchmark behavior. System-wide model simulation results can be compared with actual recordings. However, it is difficult to construct a simulation case for a large power system such as the WECC system and to narrow down to problematic models in a large system. Hybrid dynamic simulation with its capability of injecting external signals into dynamic simulation enables rigorous comparison of measurements and simulation in a small subsystem of interest. This paper presents such a model validation methodology with hybrid dynamic simulation. Two application examples on generator and load model validation are presented to show the validity of this model validation methodology. This methodology is further extended for automatic model validation and dichotomous subsystem model validation. A few methods to define model quality indices have been proposed to quantify model error for model validation criteria development.

  4. Project Management Plan Resident Management System (RMS)

    E-Print Network [OSTI]

    US Army Corps of Engineers

    1 Project Management Plan Resident Management System (RMS) And Quality Control System (QCS Resident Management System.........................................................................................................3 Project Management Plan - Purpose

  5. High Flux Isotope Reactor system RELAP5 input model

    SciTech Connect (OSTI)

    Morris, D.G.; Wendel, M.W.

    1993-01-01T23:59:59.000Z

    A thermal-hydraulic computational model of the High Flux Isotope Reactor (HFIR) has been developed using the RELAP5 program. The purpose of the model is to provide a state-of-the art thermal-hydraulic simulation tool for analyzing selected hypothetical accident scenarios for a revised HFIR Safety Analysis Report (SAR). The model includes (1) a detailed representation of the reactor core and other vessel components, (2) three heat exchanger/pump cells, (3) pressurizing pumps and letdown valves, and (4) secondary coolant system (with less detail than the primary system). Data from HFIR operation, component tests, tests in facility mockups and the HFIR, HFIR specific experiments, and other pertinent experiments performed independent of HFIR were used to construct the model and validate it to the extent permitted by the data. The detailed version of the model has been used to simulate loss-of-coolant accidents (LOCAs), while the abbreviated version has been developed for the operational transients that allow use of a less detailed nodalization. Analysis of station blackout with core long-term decay heat removal via natural convection has been performed using the core and vessel portions of the detailed model.

  6. HEV, PHEV, BEV Test Standard Validation

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

    BEV Test Standard Validation 2011 DOE Hydrogen Program and Vehicle Technologies Annual Merit Review May 10, 2011 Michael Duoba Argonne National Laboratory Sponsored by Lee Slezak...

  7. Technical Demonstration and Economic Validation of Geothermal...

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

    Technical Demonstration and Economic Validation of Geothermal-Produced Electricity from Coproduced Water at Existing OilGas Wells in Texas Technical Demonstration and Economic...

  8. OSHPD Postpartum Maternal Outcomes Validation Study

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    may far exceed that of birth certificate data for severalAdams M. Validity of birth certificate data for the outcomemedical record and birth certificate data. Health Services

  9. Calibration and Validation of Measurement System

    E-Print Network [OSTI]

    +45 98 14 25 55 Hydraulics and Coastal Engineering No. 2 Calibration and Validation of Measurement ......................................................................................................................................11 9. SIPHON TURBINE ......................................................................................................................................12 10. DUMMY TURBINES

  10. Fuel Cell Backup Power Technology Validation (Presentation)

    SciTech Connect (OSTI)

    Kurtz, J.; Sprik, S.; Ramsden, T.; Saur, G.

    2012-10-01T23:59:59.000Z

    Presentation about fuel cell backup power technology validation activities at the U.S. Department of Energy's National Renewable Energy Laboratory.

  11. Nuclear Systems Modeling, Simulation & Validation | ORNL

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

    Systems Modeling and Simulation SHARE Nuclear Systems Modeling, Simulation and Validation Reactor physics depletion model for the Advanced Test Reactor Reactor physics depletion...

  12. PV Performance and Reliability Validation Capabilities at Sandia...

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

    Performance and Reliability Validation Capabilities at Sandia National Laboratories PV Performance and Reliability Validation Capabilities at Sandia National Laboratories This...

  13. Water Power Calculator Temperature and Analog Input/Output Module Ambient Temperature Testing

    SciTech Connect (OSTI)

    Mark D. McKay

    2011-02-01T23:59:59.000Z

    Water Power Calculator Temperature and Analog input/output Module Ambient Temperature Testing A series of three ambient temperature tests were conducted for the Water Power Calculator development using the INL Calibration Laboratorys Tenney Environmental Chamber. The ambient temperature test results demonstrate that the Moore Industries Temperature Input Modules, Analog Input Module and Analog Output Module, ambient temperature response meet or exceed the manufactures specifications

  14. SRTC input to DOE-HQ R and D database for FY99

    SciTech Connect (OSTI)

    Chandler, L.R. Jr.

    2000-01-05T23:59:59.000Z

    This is a database of the Savannah River Site input to the DOE Research and Development database. The report contains approximately 50 project abstracts.

  15. E-Print Network 3.0 - alpha motoneurone input Sample Search Results

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

    such as input resistance (Ri,), membrane time constant (T... Spinalization on Ankle Extensor Motoneurons II. Motoneuron Electrical Properties S. HOCHMAN AND D. A. Mc......

  16. [Composite analysis E-area vaults and saltstone disposal facilities]. PORFLOW and FACT input files

    SciTech Connect (OSTI)

    Cook, J.R.

    1997-09-01T23:59:59.000Z

    This diskette contains the PORFLOW and FACT input files described in Appendix B of the accompanying report `Composite Analysis E-Area Vaults and Saltstone Disposal Facilities`.

  17. Approaches used for Clearance of Lands from Nuclear Facilities among Several Countries: Evaluation for Regulatory Input

    Broader source: Energy.gov [DOE]

    The study entitled, Approaches used for Clearance of Lands from Nuclear Facilities among Several Countries: Evaluation for Regulatory Input, focuses on the issue of showing compliance with given...

  18. Combining frequency and time domain approaches to systems with multiple spike train input and output

    E-Print Network [OSTI]

    Brillinger, D. R.; Lindsay, K. A.; Rosenberg, J. R.

    2009-01-01T23:59:59.000Z

    between neuronal spike trains. Prog Biophys Mol Biol Vapnikto systems with multiple spike train input and output D. R.Keywords Multiple spike trains Neural coding Maximum

  19. Three Essays in Business Management, the Natural Environment, and Environmental Policy

    E-Print Network [OSTI]

    Nairn-Birch, Nicholas Simon

    2012-01-01T23:59:59.000Z

    management systems Eco-efficiency Energy and water usage (Eco-efficiency is based on comparison of resource inputs (i.e. water use (in cubic meters) and total energy

  20. Validation and Interactivity of Web API Documentation

    E-Print Network [OSTI]

    Jeffrey, Alan

    of APIs in the directory and shows that REST1 [3] is in the majority and is growing faster than any other validation. 1ProgrammableWeb API styles are self-reported by the API owners, and APIs reported as RESTful mayValidation and Interactivity of Web API Documentation Peter J. Danielsen and Alan Jeffrey Bell Labs

  1. LRRB Pavement Management Systems Pavement Management Systems

    E-Print Network [OSTI]

    Minnesota, University of

    LRRB Pavement Management Systems Pavement Management Systems Presented by: Michael Marti SRF for implementing and monitoring research results (RIC) #12;LRRB Pavement Management Systems LRRB Structure LRRB Current Pavement Management System Used ICON (Goodpointe) Year of Pavement Management System

  2. Nevada Test Site Resource Management Plan

    SciTech Connect (OSTI)

    NONE

    1998-12-01T23:59:59.000Z

    The Nevada Test Site (NTS) Resource Management Plan (RMP) describes the NTS Stewardship Mission and how its accomplishment will preserve the resources of the ecoregion while accomplishing the objectives of the mission. The NTS Stewardship Mission is to manage the land and facilities at the NTS as a unique and valuable national resource. The RMP has defined goals for twelve resource areas based on the principles of ecosystem management. These goals were established using an interdisciplinary team of DOE/NV resource specialists with input from surrounding land managers, private parties, and representatives of Native American governments. The overall goal of the RMP is to facilitate improved NTS land use management decisions within the Great Basin and Mojave Desert ecoregions.

  3. Position Management

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1992-06-23T23:59:59.000Z

    The order prescribes the policies, responsibilities, and procedures for position management within (DOE). Canceled by DOE N 1321.140. Cancels DOE 3510.1

  4. Water Management

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

    Water Management This department applies multi-disciplinary science and technology-based modeling to assess complex environmental systems. It integrates ecology, anthropology, and...

  5. Program Manager

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will participate in a wide spectrum of program and project management activities involving systems engineering and integration support for Defense Programs...

  6. MANAGEMENT (MNG)

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

    and recommendations is adequately implemented. (DOE Order 414.1A, Criterion 3; 10 CFR 830, Subpart A) Approach Record Review * Review the SWS issues management systems and...

  7. Quality Management

    Broader source: Energy.gov [DOE]

    The Office of Quality Management, within the Office of Health, Safety and Security develops policies and procedures to ensure the classification and control of information is effective and...

  8. Feeling Music: Integration of Auditory and Tactile Inputs in Musical Meter Perception

    E-Print Network [OSTI]

    Wang, Xiaoqin

    Feeling Music: Integration of Auditory and Tactile Inputs in Musical Meter Perception Juan Huang1 are integrated in humans performing a musical meter recognition task. Subjects discriminated between two types coherent meter percepts, and 3) Simultaneously presented bimodal inputs where the two channels contained

  9. 2008 Residential Building Efficiency Standards 1 Efficiency Ratings and Performance Modeling Inputs

    E-Print Network [OSTI]

    Inputs for the Daiken AC (Americas), Inc. Altherma Air-to-Water Source Heat Pump System The Building-to-Water Source Heat Pump can provide space heating, space cooling and domestic water heating functions Required Compliance Software Inputs-- The Altherma Air-to-Water Source Heat Pump system is an electric heat

  10. Impact of Inductor Placement on the Performance of Adjustable Speed Drives Under Input Voltage Unbalance and

    E-Print Network [OSTI]

    Lipo, Thomas

    Engineering Dr. Madison, WI 53706 #12;IEEE 2005 International Electric Machines and Drives Conference (IEMDC on the induction machine performance characteristics, but the presence of an LC filter in the drive's input2005-07 Impact of Inductor Placement on the Performance of Adjustable Speed Drives Under Input

  11. Noninvasive high-resolution detection of the arterial and venous input function through a PET Wrist

    E-Print Network [OSTI]

    Noninvasive high-resolution detection of the arterial and venous input function through a PET Wrist using planar coincidence images. I. INTRODUCTION Quantitative Positron Emission Tomography (PET) often determine the input function. These techniques include external monitors and PET scanners that measure

  12. Improved Imaged-derived Input Function for Study of Human Brain FDG-PET

    E-Print Network [OSTI]

    Renaut, Rosemary

    Improved Imaged-derived Input Function for Study of Human Brain FDG-PET Hongbin Guo, Rosemary tomography (PET) studies. Two time windows can be recognized in the time activity curve measured from the compartmental model for FDG PET [5]. Index Terms Quantification of FDG PET, Automated Image-derived input

  13. Evaluating an Alternative Model for the Input Function in FDG-PET Studies 1

    E-Print Network [OSTI]

    Renaut, Rosemary

    Evaluating an Alternative Model for the Input Function in FDG-PET Studies 1 Hongbin Guo 2 Rosemary-D-glucose flu- oro (FDG) positron emission tomography (PET) brain studies with bolus injection is presented-derived expressions. The new model provides an effective means to recover the input function in FDG-PET studies

  14. Experimental Results on Multiple-Input Single-Output (MISO) Time Reversal for UWB

    E-Print Network [OSTI]

    Qiu, Robert Caiming

    Experimental Results on Multiple-Input Single-Output (MISO) Time Reversal for UWB Systems with multiple-input single- output (MISO) antennas over ultra-wideband (UWB) channels. In particular, temporal and spatial focusing as well as array gain are studied based on a (4 1) MISO scheme in an office environment

  15. Generalized Mercury/Waterfilling for Multiple-Input Multiple-Output Channels

    E-Print Network [OSTI]

    Verdú, Sergio

    Generalized Mercury/Waterfilling for Multiple-Input Multiple-Output Channels Fernando P procedure that generalizes the mercury/waterfilling algorithm, previously proposed for parallel non-interfering chan- nels. In this generalization the mercury level accounts for the sub- optimal (non-Gaussian) input

  16. April 3-4, 2007/ARR Engineering Input to System Code and

    E-Print Network [OSTI]

    Raffray, A. René

    with providing input to system code - Assessing high-leverage engineering parameters to guide integrated trade 3-4, 2007/ARR 2 Schematic of ARIES Next Step Study as I Understand It (TBD) Design Requirements to Demonstrate Those System Code Development and Integration (ARIES-AT as starting point) Translating Input to

  17. Magnetized Target Fusion: Input to the 35-yr Fusion Long-Range Electric Plan

    E-Print Network [OSTI]

    controlled thermonuclear fusion in the laboratory -- Intermediate between MFE and IFE · Presently only fundedMagnetized Target Fusion: Input to the 35-yr Fusion Long-Range Electric Plan G. A. Wurden Fusion Energy Program Office Los Alamos National Laboratory Jan. 14, 2003 #12;Magnetized Target Fusion: Input

  18. Lean and Steering Motorcycle Dynamics Reconstruction : An Unknown Input HOSMO Approach

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Lean and Steering Motorcycle Dynamics Reconstruction : An Unknown Input HOSMO Approach L. Nehaoua1. For this purpose, we consider a unknown input high order sliding mode observer (UIHOSMO). First, a motorcycle- flected by an important increase of motorcycle's fatalities. Recent statistics confirm this fact

  19. Validation experiment of a numerically processed millimeter-wave interferometer in a laboratory

    SciTech Connect (OSTI)

    Kogi, Y., E-mail: kogi@fit.ac.jp; Higashi, T.; Matsukawa, S. [Department of Information Electronics, Fukuoka Institute of Technology, Fukuoka 811-0295 (Japan); Mase, A. [Art, Science and Technology Center for Cooperative Research, Kyushu University, Kasuga, Fukuoka 816-0811 (Japan); Kohagura, J.; Yoshikawa, M. [Plasma Research Center, University of Tsukuba, Tsukuba, Ibaraki 305-8577 (Japan); Nagayama, Y.; Kawahata, K. [National Institute for Fusion Science, Toki, Gifu 509-5202 (Japan); Kuwahara, D. [Tokyo University of Agriculture and Technology, Koganei, Tokyo 184-8588 (Japan)

    2014-11-15T23:59:59.000Z

    We propose a new interferometer system for density profile measurements. This system produces multiple measurement chords by a leaky-wave antenna driven by multiple frequency inputs. The proposed system was validated in laboratory evaluation experiments. We confirmed that the interferometer generates a clear image of a Teflon plate as well as the phase shift corresponding to the plate thickness. In another experiment, we confirmed that quasi-optical mirrors can produce multiple measurement chords; however, the finite spot size of the probe beam degrades the sharpness of the resulting image.

  20. Review of input stages used in front end electronics for particle detectors

    E-Print Network [OSTI]

    Kaplon, J

    2015-01-01T23:59:59.000Z

    In this paper we present noise analysis of the input stages most commonly used in front end electronics for particle detectors. Analysis shows the calculation of the input referenced noise related to the active devices. It identifies the type, parallel or series, of the equivalent noise sources related to the input transistors, which is the important input for the further choice of the signal processing method. Moreover we calculate the input impedance of amplifiers employed in applications where the particle detector is connected to readout electronics by means of transmission line. We present schematics, small signal models,a complete set of equations, and results of the major steps of calculations for all discussed circuits.

  1. San Onofre PWR Data for Code Validation of MOX Fuel Depletion Analyses

    SciTech Connect (OSTI)

    Hermann, O.W.

    1999-09-01T23:59:59.000Z

    The isotopic composition of mixed-oxide fuel (fabricated with both uranium and plutonium isotope) discharged from reactors is of interest to the Fissile Material Disposition Program. The validation of depletion codes used to predict isotopic compositions of MOX fuel, similar to studies concerning uranium-only fueled reactors, thus, is very important. The EEI-Westinghouse Plutonium Recycle Demonstration Program was conducted to examine the use of MOX fuel in the San Onofre PWR, Unit I, during cycles 2 and 3. The data usually required as input to depletion codes, either one-dimensional or lattice codes, were taken from various sources and compiled into this report. Where data were either lacking or determined inadequate, the appropriate data were supplied from other references. The scope of the reactor operations and design data, in addition to the isotopic analyses, were considered to be of sufficient quality for depletion code validation.

  2. Verification & Validation | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure...

  3. PV Integration by Building Energy Management System

    E-Print Network [OSTI]

    Boyer, Edmond

    . However, to validate global control algorithms, a simulator capable of interoperating with energy[kWh]. Econs (k) Total energy consumed by the load [kWh]. E (i, k) Energy consumed by the service i duringPV Integration by Building Energy Management System Rim.Missaoui¹, Ghaith.Warkozek¹, Seddik. Bacha

  4. BachelorofManagement InternationalManagement

    E-Print Network [OSTI]

    Seldin, Jonathan P.

    on the official transcript (see Part 11 - Faculty of Management in the 2007/2008 Calendar). Program Planning Guide Management 3050/Political Science 3420 - Human Resource Management Management 3061 - Information Systems Environment Management 3640 - Cross-Cultural Management Practices Management 3660/Geography 3225 - Industrial

  5. Vehicle Technologies Office: Integration and Validation

    Broader source: Energy.gov [DOE]

    Once vehicle components and subsystems prove out in the initial modeling and simulation research phases, it is time to build, integrate, and validate prototypes of those components and subsystems....

  6. Validating Computer-Designed Proteins for Vaccines

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

    Validating Computer-Designed Proteins for Vaccines Print In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has...

  7. Advanced Supply System Validation Workshop Agenda

    Broader source: Energy.gov [DOE]

    List of Assumptions and Draft Workshop Agenda for the Advanced Supply System Validation Workshop, February 3-4, 2014, Golden, Colorado, from the U.S. Department of Energy's Bioenergy Technologies Office.

  8. Tools for event generator tuning and validation

    E-Print Network [OSTI]

    Andy Buckley

    2008-09-26T23:59:59.000Z

    I describe the current status of MCnet tools for validating the performance of event generator simulations against data, and for tuning their phenomenological free parameters. For validation, the Rivet toolkit is now a mature and complete system, with a large library of prominent benchmark analyses. For tuning, the Professor system has recently completed its first tunes of Pythia 6, with substantial improvements on the existing default tune and potential to greatly aid the setup of new generators for LHC studies.

  9. Transportation radiological risk assessment for the programmatic environmental impact statement: An overview of methodologies, assumptions, and input parameters

    SciTech Connect (OSTI)

    Monette, F.; Biwer, B.; LePoire, D.; Chen, S.Y.

    1994-02-01T23:59:59.000Z

    The U.S. Department of Energy is considering a broad range of alternatives for the future configuration of radioactive waste management at its network of facilities. Because the transportation of radioactive waste is an integral component of the management alternatives being considered, the estimated human health risks associated with both routine and accident transportation conditions must be assessed to allow a complete appraisal of the alternatives. This paper provides an overview of the technical approach being used to assess the radiological risks from the transportation of radioactive wastes. The approach presented employs the RADTRAN 4 computer code to estimate the collective population risk during routine and accident transportation conditions. Supplemental analyses are conducted using the RISKIND computer code to address areas of specific concern to individuals or population subgroups. RISKIND is used for estimating routine doses to maximally exposed individuals and for assessing the consequences of the most severe credible transportation accidents. The transportation risk assessment is designed to ensure -- through uniform and judicious selection of models, data, and assumptions -- that relative comparisons of risk among the various alternatives are meaningful. This is accomplished by uniformly applying common input parameters and assumptions to each waste type for all alternatives. The approach presented can be applied to all radioactive waste types and provides a consistent and comprehensive evaluation of transportation-related risk.

  10. Assessment of the Value, Impact, and Validity of the Jobs and Economic Development Impacts (JEDI) Suite of Models

    SciTech Connect (OSTI)

    Billman, L.; Keyser, D.

    2013-08-01T23:59:59.000Z

    The Jobs and Economic Development Impacts (JEDI) models, developed by the National Renewable Energy Laboratory (NREL) for the U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE), use input-output methodology to estimate gross (not net) jobs and economic impacts of building and operating selected types of renewable electricity generation and fuel plants. This analysis provides the DOE with an assessment of the value, impact, and validity of the JEDI suite of models. While the models produce estimates of jobs, earnings, and economic output, this analysis focuses only on jobs estimates. This validation report includes an introduction to JEDI models, an analysis of the value and impact of the JEDI models, and an analysis of the validity of job estimates generated by JEDI model through comparison to other modeled estimates and comparison to empirical, observed jobs data as reported or estimated for a commercial project, a state, or a region.

  11. Validation procedures used in the Background Soil Characterization Project on the Oak Ridge Reservation, Oak Ridge, Tennessee. Environmental Restoration Program

    SciTech Connect (OSTI)

    Not Available

    1993-12-01T23:59:59.000Z

    The purpose of this report is (1) to document the data validation process developed for the Background Soil Characterization Project (BSCP); (2) to offer members of other project teams and potential data users the benefit of the experience gained in the BSCP in the area of developing project-specific data validation criteria and procedures based on best available guidance and technical information; and (3) to provide input and guidance to the efforts under way within Martin Marietta Energy Systems, Inc., to develop standard operating procedures to streamline and optimize the analytical laboratory data validation process for general use by making it more technically rigorous, consistent, and cost effective. Lessons learned from the BSCP are also provided to meet this end (Sect. 1.3).

  12. All-optical routing of single photons with multiple input and output ports by interferences

    E-Print Network [OSTI]

    Wei-Bin Yan; Bao Liu; Ling Zhou; Heng Fan

    2014-09-23T23:59:59.000Z

    We propose a waveguide-cavity coupled system to achieve the routing of photons by the phases of other photons. Our router has four input ports and four output ports. The transport of the coherent-state photons injected through any input port can be controlled by the phases of the coherent-state photons injected through other input ports. This control can be achieved when the mean numbers of the routed and control photons are small enough and require no additional control fields. Therefore, the all-optical routing of photons can be achieved at the single-photon level.

  13. Risk Management Procedures Category: Strategic Management

    E-Print Network [OSTI]

    /POLICY SUPPORTED Risk Management Policy Tertiary Education Quality Standards Agency Act 2011 (TEQSA Act 2011) 21 Risk Management Procedures Category: Strategic Management 1. LEGISLATION/ENTERPRISE AGREEMENT. PROCEDURAL DETAILS 2.1. Responsibilities Entity / Officer Responsibilities Planning and Management Committee

  14. Conference Management

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2007-01-25T23:59:59.000Z

    The Order establishes requirements and responsibilities for managing conferences sponsored or co-sponsored by the Department of Energy, including the National Nuclear Security Administration. Cancels DOE O 110.3. Canceled by DOE N 251.97.

  15. Project Manager

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will serve as a project manager in the Fuel Cell Technologies Office in the DOE-EERE Office of Transportation responsible for a wide variety of highly...

  16. Stormwater Management

    E-Print Network [OSTI]

    Jaber, Fouad

    2008-10-23T23:59:59.000Z

    management program must be developed that would meet the standard of reducing pollutants to the maximum extent practicable. Stormwater management programs for medium and large MS4s include measures to: ? Identify major outfalls and pollutant loadings... seeding: The vegetation used will be part of final landscaping, but during construction it prevents soil erosion. ? Mulching: Materials such as hay, grass, woodchips, gravel, or straw are placed on top of the soil to keep it from eroding. Structural...

  17. OBSERVER DESIGN FOR NONLINEAR SYSTEMS BY USING INPUT-TO-STATE STABILITY

    E-Print Network [OSTI]

    Sontag, Eduardo

    OBSERVER DESIGN FOR NONLINEAR SYSTEMS BY USING INPUT-TO-STATE STABILITY A. Alessandri Abstract by solving LMI problems [18]. A. Alessandri is with the Institute of Intelligent Systems for Automation

  18. Three papers on input-ouput [sic] energy and environmental accounting

    E-Print Network [OSTI]

    Huang, Sonya (Sonya Y.)

    2013-01-01T23:59:59.000Z

    The input-output model, a framework for national accounting and economic modeling, has been popular among regional economists for studying energy and emissions due to its focus on interindustry linkages. In a series of ...

  19. E-Print Network 3.0 - additional power input Sample Search Results

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

    W to 50 W. A closed-system efficiency of 65% at 50 ... RF and wind power sources operating over a 10:1 input power range from 500 W to 50 W. The...

  20. A study of the effects of natural fertility, weather and productive inputs in Chinese agriculture

    E-Print Network [OSTI]

    Eckaus, Richard S.; Tso, Katherine Kit-Yan.

    This paper presents an investigation of the relations in China between farm output, the natural fertility of agricultural land, and the use of anthropogenic farm inputs. The methodology is presented as a potential increment ...

  1. E-Print Network 3.0 - aquatic peer input Sample Search Results

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

    7 import java.io.IOException; import java.io.InputStream; Summary: Service pipes; Pipe Service private PipeAdvertisement myAdv; Hungry peer pipe advertisement private...

  2. Eutrophication: impacts of excess nutrient inputs on freshwater, marine, and terrestrial ecosystems

    E-Print Network [OSTI]

    Minnesota, University of

    Eutrophication: impacts of excess nutrient inputs on freshwater, marine, and terrestrial ecosystems enrichment, or eutrophication, can lead to highly undesirable changes in ecosystem structure and function eutrophication in freshwater, marine, and terrestrial ecosystems. We present two brief case studies (one

  3. Identifying Steam Opportunity "Impact" Inputs for the Steam System Assessment Tool (SSAT)

    E-Print Network [OSTI]

    Harrell, G.; Jendrucko, R.; Wright, A.

    2004-01-01T23:59:59.000Z

    IDENTIFYING STEAM OPPORTUNITY "IMPACT" INPUTS FOR THE STEAM SYSTEM ASSESSMENT TOOL (SSAT) Dr. Greg Harrell, University of Tennessee/Knoxville Dr. Richard Jendrucko, University of Tennessee/Knoxville Dr. Anthony Wright, Oak Ridge National...

  4. On the Patterns of Wind-Power Input to the Ocean Circulation

    E-Print Network [OSTI]

    Roquet, Fabien

    Pathways of wind-power input into the ocean general circulation are analyzed using Ekman theory. Direct rates of wind work can be calculated through the wind stress acting on the surface geostrophic flow. However, because ...

  5. Lessons Learned in Optimizing Workers' and Worker Representatives' Input to Work Planning and Control

    Broader source: Energy.gov [DOE]

    Slide Presentation by Tom McQuiston, Dr. P.H., United Steelworkers - Tony Mazzocchi Center for Health, Safety and Environmental Education. Lessons Learned in Optimizing Workers and Worker Representatives Input in Work Planning and Control.

  6. Use of Building Automation System Trend Data for Inputs Generation in Bottom-Up Simulation Calibration

    E-Print Network [OSTI]

    Zibin, N. F.; Zmeureanu, R. G.; Love, J. A.

    2013-01-01T23:59:59.000Z

    for analysis and use in simulation is very large. This paper explores automating the process of generating inputs from Building Automation System (BAS) trend data for use in building simulation software. A proof-of-concept prototype called the Automatic...

  7. Input-Output as a Method of Evaluahon of the Economic Impact of Water Resources Development

    E-Print Network [OSTI]

    Canion, R. L.; Trock, W. L.

    In this report the results of a study of the use of input-output analysis to evaluate the economic impact of water resources development are presented. Blackburn Crossing reservoir on the Upper Neches river was the subject development...

  8. An Input Function Estimation Method for FDG-PET Human Brain Studies 1

    E-Print Network [OSTI]

    Renaut, Rosemary

    An Input Function Estimation Method for FDG-PET Human Brain Studies 1 Hongbin Guo ,2 Rosemary 85287-1804, Tel: 480-965-8002, Fax: 480-965-4160 Email addresses: hb guo@asu.edu (Hongbin Guo), renaut

  9. A reduced-basis method for input-output uncertainty propagation in stochastic PDEs

    E-Print Network [OSTI]

    Vidal Codina, Ferran

    2013-01-01T23:59:59.000Z

    Recently there has been a growing interest in quantifying the effects of random inputs in the solution of partial differential equations that arise in a number of areas, including fluid mechanics, elasticity, and wave ...

  10. Code design for multiple-input multiple-output broadcast channels

    E-Print Network [OSTI]

    Uppal, Momin Ayub

    2009-06-02T23:59:59.000Z

    Recent information theoretical results indicate that dirty-paper coding (DPC) achieves the entire capacity region of the Gaussian multiple-input multiple-output (MIMO) broadcast channel (BC). This thesis presents practical code designs for Gaussian...

  11. Estimating production functions with damage control inputs: an application to Korean vegetable production

    E-Print Network [OSTI]

    Park, Pil Ja

    2002-01-01T23:59:59.000Z

    This thesis focuses on the use of chemicals for pest control in Korean cucumber production. The empirical issue addressed is whether estimating crop production functions consistent with the economic theory of damage control inputs makes significant...

  12. Developed by: Lawrence Berkeley National Laboratory with input from industry partners representing high tech

    E-Print Network [OSTI]

    Energy Technologies Division Ernest Orlando Lawrence Berkeley National Laboratory UniversityLBNL-50599 Developed by: Lawrence Berkeley National Laboratory with input from industry partners For High Tech Buildings #12;DISCLAIMER The Lawrence Berkeley National Laboratory, 1 Cyclotron Road

  13. Vehicle Technologies Office Merit Review 2014: Validation of...

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

    Validation of Material Models for Automotive Carbon Fiber Composite Structures Vehicle Technologies Office Merit Review 2014: Validation of Material Models for Automotive Carbon...

  14. Design, Modeling, and Validation of a Flame Reformer for LNT...

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

    Design, Modeling, and Validation of a Flame Reformer for LNT External Bypass Regeneration Design, Modeling, and Validation of a Flame Reformer for LNT External Bypass Regeneration...

  15. HEV, PHEV, EV Test Standard Development and Validation | Department...

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

    HEV, PHEV, EV Test Standard Development and Validation HEV, PHEV, EV Test Standard Development and Validation 2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies...

  16. T-649: Red Hat Network Satellite Server Request Validation Flaw...

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

    49: Red Hat Network Satellite Server Request Validation Flaw Permits Cross-Site Request Forgery Attacks T-649: Red Hat Network Satellite Server Request Validation Flaw Permits...

  17. In Search of a Statistically Valid Volatility Risk Factor

    E-Print Network [OSTI]

    Anderson, Robert M.; Bianchi, Stephen W.; Goldberg, Lisa R.

    2013-01-01T23:59:59.000Z

    The cross- section of volatility and expected returns, Theof a Statistically Valid Volatility Risk Factor (revised)of a Statistically Valid Volatility Risk Factor Robert M.

  18. U-031: Microsoft Active Directory CRL Validation Flaw Lets Remote...

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

    1: Microsoft Active Directory CRL Validation Flaw Lets Remote Users Bypass Authentication U-031: Microsoft Active Directory CRL Validation Flaw Lets Remote Users Bypass...

  19. Development and Validation of a Reduced Mechanism for Biodiesel...

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

    Validation of a Reduced Mechanism for Biodiesel Surrogates for Compression Ignition Engine Applications Development and Validation of a Reduced Mechanism for Biodiesel Surrogates...

  20. Demonstrating and Validating a Next Generation Model-Based Controller...

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

    and Validating a Next Generation Model-Based Controller for Fuel Efficient, Low Emissions Diesel Engines Demonstrating and Validating a Next Generation Model-Based Controller for...

  1. Economic effect on agricultural production of alternative energy input prices: Texas High Plains

    E-Print Network [OSTI]

    Adams, Benjamin Michael

    1975-01-01T23:59:59.000Z

    ECONOMIC EFFECT ON AGRICULTURAL PRODUCTION OF ALTERNATIYE ENERGy INPUT PRICES: TEXAS HIGH PLAlNS A Thesis by BENJAMIN MICHAEL ADAMS Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement... for the degree of MASTER OF SCIENCE December 1975 Major Subject: Agricultural Economics ECONOMIC EFFECT ON AGRICULTURAL PRODUCTION OF ALTERNATIVE ENERGY INPUT PRICES: TEXAS HIGH PLAINS A Thesis by BENJAMIN MICHAEL ADAMS Approved as to style and content...

  2. TRIPLE 3-INPUT POSITIVE-NAND GATES SCHS317 NOVEMBER 2002

    E-Print Network [OSTI]

    Kretchmar, R. Matthew

    -SIDE MARKING PDIP ­ E Tube CD74AC10E CD74AC10E ­55°C to 125°C SOIC M Tube CD74AC10M AC10MSOIC ­ M Tape and Reel-maximum-rated conditions for extended periods may affect device reliability. NOTES: 1. The input and output voltage ratings may be exceeded if the input and output current ratings are observed. 2. The package thermal impedance

  3. CD54AC08, CD74AC08 QUADRUPLE 2-INPUT POSITIVE-AND GATES

    E-Print Network [OSTI]

    Kretchmar, R. Matthew

    SOIC M Tube CD74AC08M AC08M­55°C to 125°C SOIC ­ M Tape and reel CD74AC08M96 AC08M CDIP ­ F Tube CD54AC-maximum-rated conditions for extended periods may affect device reliability. NOTES: 1. The input and output voltage ratings may be exceeded if the input and output current ratings are observed. 2. The package thermal impedance

  4. CD54AC02, CD74AC02 QUADRUPLE 2-INPUT POSITIVE-NOR GATES

    E-Print Network [OSTI]

    Kretchmar, R. Matthew

    to 125°C SOIC ­ M Tape and reel CD74AC02M96 AC02M CDIP ­ F Tube CD54AC02F3A CD54AC02F3A Package drawings-maximum-rated conditions for extended periods may affect device reliability. NOTES: 1. The input and output voltage ratings may be exceeded if the input and output current ratings are observed. 2. The package thermal impedance

  5. CD54AC32, CD74AC32 QUADRUPLE 2-INPUT POSITIVE-OR GATES

    E-Print Network [OSTI]

    Kretchmar, R. Matthew

    Tape and reel CD74AC32M96 AC32M CDIP ­ F Tube CD54AC32F3A CD54AC32F3A Package drawings, standard-maximum-rated conditions for extended periods may affect device reliability. NOTES: 1. The input and output voltage ratings may be exceeded if the input and output current ratings are observed. 2. The package thermal impedance

  6. CD54ACT00, CD74ACT00 QUADRUPLE 2-INPUT POSITIVE-NAND GATES

    E-Print Network [OSTI]

    Kretchmar, R. Matthew

    CD74ACT00E 55°C to 125°C SOIC M Tube CD74ACT00M ACT00M­55°C to 125°C SOIC ­ M Tape and reel CD74ACT00-maximum-rated conditions for extended periods may affect device reliability. NOTES: 1. The input and output voltage ratings may be exceeded if the input and output current ratings are observed. 2. The package thermal impedance

  7. Rethinking Pen Input Interaction: Enabling Freehand Sketching Through Improved Primitive Recognition

    E-Print Network [OSTI]

    Paulson, Brandon C.

    2011-08-08T23:59:59.000Z

    RETHINKING PEN INPUT INTERACTION: ENABLING FREEHAND SKETCHING THROUGH IMPROVED PRIMITIVE RECOGNITION A Dissertation by BRANDON CHASE PAULSON Submitted to the O ce of Graduate Studies of Texas A&M University in partial ful llment... of the requirements for the degree of DOCTOR OF PHILOSOPHY May 2010 Major Subject: Computer Science RETHINKING PEN INPUT INTERACTION: ENABLING FREEHAND SKETCHING THROUGH IMPROVED PRIMITIVE RECOGNITION A Dissertation by BRANDON CHASE PAULSON Submitted to the O...

  8. A study of array snr and coupling as a function of the input impedance of preamplifier

    E-Print Network [OSTI]

    Shah, Bijay Kamleshbhai

    2009-05-15T23:59:59.000Z

    ........................................................................................... 17 6 Use of matching network in conjunction with low input impedance preamplifier for decoupling .................................................................................. 18 7 FDTD model consisting of two coil array and tissue block... with tissue block. Experimental variables are system frequency f, inter coil distance d, coil to phantom distance D and preamplifier input impedance R .................................... 28 12 Circuit diagram for FDTD simulations at 3T (f = 128.752MHz...

  9. Managing the Management: CORBAbased Instrumentation of Management Systems

    E-Print Network [OSTI]

    Managing the Management: CORBA­based Instrumentation of Management Systems A. Keller Munich Network to dynamically exchange customer­ and technology­related data. In this context, management systems are crucial providers: On the one hand, different service providers have chosen different management systems

  10. Business Management Analyst Business Manager Director of Communication Contracts Manager

    E-Print Network [OSTI]

    Maxwell, Bruce D.

    · Business Management Analyst · Business Manager · Director of Communication · Contracts Manager of Sales · President/Owner · Instructor of Business · Senior Buyer · North American Sales Manager · Talent graduation. You will have the skills & knowledge to manage and grow a successful business. You will be able

  11. On the Variability of Wind Power Input to the Oceans with a Focus on the Subpolar North Atlantic

    E-Print Network [OSTI]

    Wunsch, Carl

    On the Variability of Wind Power Input to the Oceans with a Focus on the Subpolar North Atlantic and is presumed to be similar in three dimensions. Total wind power input is generally always positive, while

  12. On the Variability of Wind Power Input to the Oceans with a Focus on the Subpolar North Atlantic

    E-Print Network [OSTI]

    Zhai, Xiaoming

    Variations in power input to the ocean using a recent global reanalysis extending back to 1871 show a strong trend in the net power input since then, a trend dominated by the Southern Ocean region. This trend is interpreted ...

  13. ISSUES MANAGEMENT PROGRAM MANUAL

    SciTech Connect (OSTI)

    Gravois, Melanie

    2007-06-27T23:59:59.000Z

    The Lawrence Berkeley National Laboratory (LBNL) Issues Management Program encompasses the continuous monitoring of work programs, performance and safety to promptly identify issues to determine their risk and significance, their causes, and to identify and effectively implement corrective actions to ensure successful resolution and prevent the same or similar problems from occurring. This document describes the LBNL Issues Management Program and prescribes the process for issues identification, tracking, resolution, closure, validation, and effectiveness of corrective actions. Issues that are governed by this program include program and performance deficiencies or nonconformances that may be identified through employee discovery, internal or external oversight assessment findings, suggested process improvements and associated actions that require formal corrective action. Issues may also be identified in and/or may result in Root Cause Analysis (RCA) reports, Price Anderson Amendment Act (PAAA) reports, Occurrence Reporting and Processing System (ORPS) reports, Accident Investigation reports, assessment reports, and External Oversight reports. The scope of these issues may include issues of both high and low significance as well as adverse conditions that meet the reporting requirements of the University of California (UC) Assurance Plan for LBNL or other reporting entities (e.g., U.S. Environmental Protection Agency, U.S. Department of Energy). Issues that are found as a result of a walk-around or workspace inspection that can be immediately corrected or fixed are exempt from the requirements of this document.

  14. Data Validation Using Data Descriptors Data validation is often defined by six data descriptors

    E-Print Network [OSTI]

    APPENDIX N Data Validation Using Data Descriptors Data validation is often defined by six data descriptors: 1) reports to decision maker 2) documentation 3) data sources 4) analytical method and detection limit 5) data review 6) data quality indicators The decision maker or reviewer examines the data

  15. Marketing Plan for Demonstration and Validation Assets

    SciTech Connect (OSTI)

    None

    2008-05-30T23:59:59.000Z

    The National Security Preparedness Project (NSPP), is to be sustained by various programs, including technology demonstration and evaluation (DEMVAL). This project assists companies in developing technologies under the National Security Technology Incubator program (NSTI) through demonstration and validation of technologies applicable to national security created by incubators and other sources. The NSPP also will support the creation of an integrated demonstration and validation environment. This report documents the DEMVAL marketing and visibility plan, which will focus on collecting information about, and expanding the visibility of, DEMVAL assets serving businesses with national security technology applications in southern New Mexico.

  16. Validation Data Plan Implementation: Subcooled Flow Boiling

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism inS-4500II FieldVacancy-Induced NanoscaleValidatingValidation

  17. Validating Computer-Designed Proteins for Vaccines

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered energy consumption by sectorlongUpdates byUserUtility-ScaleValidatingValidating

  18. REVIEW OF SCIENTIFIC INSTRUMENTS 83, 033109 (2012) Thermal effects in the Input Optics of the Enhanced Laser Interferometer

    E-Print Network [OSTI]

    Tanner, David B.

    proportional to the GW strain and the input power. The Fabry-Perot cavi- ties in the Michelson arms and a powerREVIEW OF SCIENTIFIC INSTRUMENTS 83, 033109 (2012) Thermal effects in the Input Optics run of the LIGO interferometers. The Initial LIGO Input Optics experienced thermal side effects when

  19. Estimates of wind energy input to the Ekman layer in the Southern Ocean from surface drifter data

    E-Print Network [OSTI]

    Gille, Sarah T.

    Estimates of wind energy input to the Ekman layer in the Southern Ocean from surface drifter data the contribution from the anticyclonic frequencies dominate the wind energy input. The latitudinal and seasonal variations of the wind energy input to the Ekman layer are closely related to the variations of the wind

  20. Managing Solutions

    E-Print Network [OSTI]

    Baker, Emily

    2007-01-01T23:59:59.000Z

    tx H2O | pg. 19 Texas Water Resources Institute (TWRI) project managers work together with scientists and educators as well as government funding agencies to address water quality and quantity issues in Texas. Each of TWRI?s five project... the funds.? Gregory began his role at TWRI in 2006 upon com- pletion of a master?s degree in water management and hydrological science at Texas A&M University. A former Mills Scholar, Gregory was familiar with TWRI. He saw that the institute...

  1. Reliability and Validity: One Factor and Third Factor Tests

    E-Print Network [OSTI]

    White, Douglas R.

    Chapter 7 Reliability and Validity: One Factor and Third Factor Tests D. White and A. Korotayev 26 Sept 2003 Html links are live Reliability and validity are crucial issues in research. Reliability may have high validity but low reliability, in which case its correlations with other high validity

  2. Validation Analysis of the Shoal Groundwater Flow and Transport Model

    SciTech Connect (OSTI)

    A. Hassan; J. Chapman

    2008-11-01T23:59:59.000Z

    Environmental restoration at the Shoal underground nuclear test is following a process prescribed by a Federal Facility Agreement and Consent Order (FFACO) between the U.S. Department of Energy, the U.S. Department of Defense, and the State of Nevada. Characterization of the site included two stages of well drilling and testing in 1996 and 1999, and development and revision of numerical models of groundwater flow and radionuclide transport. Agreement on a contaminant boundary for the site and a corrective action plan was reached in 2006. Later that same year, three wells were installed for the purposes of model validation and site monitoring. The FFACO prescribes a five-year proof-of-concept period for demonstrating that the site groundwater model is capable of producing meaningful results with an acceptable level of uncertainty. The corrective action plan specifies a rigorous seven step validation process. The accepted groundwater model is evaluated using that process in light of the newly acquired data. The conceptual model of ground water flow for the Project Shoal Area considers groundwater flow through the fractured granite aquifer comprising the Sand Springs Range. Water enters the system by the infiltration of precipitation directly on the surface of the mountain range. Groundwater leaves the granite aquifer by flowing into alluvial deposits in the adjacent basins of Fourmile Flat and Fairview Valley. A groundwater divide is interpreted as coinciding with the western portion of the Sand Springs Range, west of the underground nuclear test, preventing flow from the test into Fourmile Flat. A very low conductivity shear zone east of the nuclear test roughly parallels the divide. The presence of these lateral boundaries, coupled with a regional discharge area to the northeast, is interpreted in the model as causing groundwater from the site to flow in a northeastward direction into Fairview Valley. Steady-state flow conditions are assumed given the absence of groundwater withdrawal activities in the area. The conceptual and numerical models were developed based upon regional hydrogeologic investigations conducted in the 1960s, site characterization investigations (including ten wells and various geophysical and geologic studies) at Shoal itself prior to and immediately after the test, and two site characterization campaigns in the 1990s for environmental restoration purposes (including eight wells and a year-long tracer test). The new wells are denoted MV-1, MV-2, and MV-3, and are located to the northnortheast of the nuclear test. The groundwater model was generally lacking data in the north-northeastern area; only HC-1 and the abandoned PM-2 wells existed in this area. The wells provide data on fracture orientation and frequency, water levels, hydraulic conductivity, and water chemistry for comparison with the groundwater model. A total of 12 real-number validation targets were available for the validation analysis, including five values of hydraulic head, three hydraulic conductivity measurements, three hydraulic gradient values, and one angle value for the lateral gradient in radians. In addition, the fracture dip and orientation data provide comparisons to the distributions used in the model and radiochemistry is available for comparison to model output. Goodness-of-fit analysis indicates that some of the model realizations correspond well with the newly acquired conductivity, head, and gradient data, while others do not. Other tests indicated that additional model realizations may be needed to test if the model input distributions need refinement to improve model performance. This approach (generating additional realizations) was not followed because it was realized that there was a temporal component to the data disconnect: the new head measurements are on the high side of the model distributions, but the heads at the original calibration locations themselves have also increased over time. This indicates that the steady-state assumption of the groundwater model is in error. To test the robustness of the model d

  3. 1 Validation of the CERTS Microgrid Concept

    E-Print Network [OSTI]

    Microgrid Testbed; David K. Nichols; John Stevens; Robert H. Lasseter; Joseph H. Eto; Harry T. Vollkommer; Islanding Microgrid Microturbine

    AbstractThe development of test plans to validate the CERTS Microgrid concept is discussed, including the status of a testbed. Increased application of Distributed Energy Resources on the Distribution system has the potential to improve performance, lower operational costs and create value

  4. Validating Collective Classification Using Cohorts , Abdullah Sonmez

    E-Print Network [OSTI]

    Pratt, Vaughan

    in ecology to the cycles of energy and chemistry that drive weather and environmental change. We build]. General analysis of network data started with a statistical approach based on random graphs [5]. Work toolkit [15], and a book that covers several aspects in depth [16]. Recent work on validation

  5. Feature extraction for structural dynamics model validation

    SciTech Connect (OSTI)

    Hemez, Francois [Los Alamos National Laboratory; Farrar, Charles [Los Alamos National Laboratory; Park, Gyuhae [Los Alamos National Laboratory; Nishio, Mayuko [UNIV OF TOKYO; Worden, Keith [UNIV OF SHEFFIELD; Takeda, Nobuo [UNIV OF TOKYO

    2010-11-08T23:59:59.000Z

    This study focuses on defining and comparing response features that can be used for structural dynamics model validation studies. Features extracted from dynamic responses obtained analytically or experimentally, such as basic signal statistics, frequency spectra, and estimated time-series models, can be used to compare characteristics of structural system dynamics. By comparing those response features extracted from experimental data and numerical outputs, validation and uncertainty quantification of numerical model containing uncertain parameters can be realized. In this study, the applicability of some response features to model validation is first discussed using measured data from a simple test-bed structure and the associated numerical simulations of these experiments. issues that must be considered were sensitivity, dimensionality, type of response, and presence or absence of measurement noise in the response. Furthermore, we illustrate a comparison method of multivariate feature vectors for statistical model validation. Results show that the outlier detection technique using the Mahalanobis distance metric can be used as an effective and quantifiable technique for selecting appropriate model parameters. However, in this process, one must not only consider the sensitivity of the features being used, but also correlation of the parameters being compared.

  6. RELAP-7 SOFTWARE VERIFICATION AND VALIDATION PLAN

    SciTech Connect (OSTI)

    Smith, Curtis L [Idaho National Laboratory; Choi, Yong-Joon [Idaho National Laboratory; Zou, Ling [Idaho National Laboratory

    2014-09-01T23:59:59.000Z

    This INL plan comprehensively describes the software for RELAP-7 and documents the software, interface, and software design requirements for the application. The plan also describes the testing-based software verification and validation (SV&V) processa set of specially designed software models used to test RELAP-7.

  7. Validating Complex Agent Behavior Scott A. Wallace

    E-Print Network [OSTI]

    Wallace, Scott

    Behavior by Scott A. Wallace Chair: John E. Laird Developing software agents that replicate human behaviorValidating Complex Agent Behavior by Scott A. Wallace A dissertation submitted in partial) in The University of Michigan 2003 Doctoral Committee: Professor John E. Laird, Chair Associate Professor William P

  8. Sequence Assembly Validation by Restriction Digest Fingerprint

    E-Print Network [OSTI]

    Rouchka, Eric

    Sequence Assembly Validation by Restriction Digest Fingerprint Comparison Eric C. Rouchka and David examines the use of restriction digest analysis as a method for testing the fidelity of sequence assembly. Restriction digest fingerprint matching is an established technology for high resolution physical map

  9. Object Management Systems

    E-Print Network [OSTI]

    Gollu, Aleks Ohannes

    1995-01-01T23:59:59.000Z

    Object-Oriented Database Management Systems for EngineeringR. Cassel. Distribution Management Systems: Functions and8-PWR 1988. Network Management Systems 52 Subodh Bapat.

  10. Environmental Management System Plan

    E-Print Network [OSTI]

    Fox, Robert

    2009-01-01T23:59:59.000Z

    R-3 Environmental Management System Plan References 30.of Energy, Safety Management System Policy, DOE P 450.4 (E), Environmental Management Systems ? Requirements with

  11. Environmental Management System Plan

    E-Print Network [OSTI]

    Fox, Robert

    2009-01-01T23:59:59.000Z

    Management Program, R-3 Environmental Management SystemEnvironmental policy 3. Environmental aspects 4. Legal andObjectives, targets, and Environmental Management Programs

  12. Input-output Analysis of Quantum Finite-level Systems in Response to Single Photon States

    E-Print Network [OSTI]

    Yu Pan; Guofeng Zhang; Matthew R. James

    2015-01-01T23:59:59.000Z

    Single photon states, which carry quantum information and coherently interact with quantum systems, are vital to the realization of all-optical quantum networks and quantum memory. In this paper we derive the conditions that enable an exact analysis of the response of passive quantum finite-level systems under the weak driving of single photon input. We show that when a class of finite level systems is driven by single photon inputs, expressions for the output states may be derived exactly using linear systems transfer functions. This removes the need for physical approximations such as weak excitation limit in the analysis of quantum nonlinear systems under single photon driving. We apply this theory to the analysis of a single photon switch. The input-output relations are consistent with the existing results in the study of few photon transport through finite-level systems.

  13. AC 2010-343: NASA SENIOR DESIGN: MISSION ASSURANCE MANAGEMENT ENVIRONMENT

    E-Print Network [OSTI]

    Conrad, James M.

    this challenge, we propose to improve spacecraft building and operating processes with integrated software, design, implementation, system integration, validation and test. Identification of System RequirementsAC 2010-343: NASA SENIOR DESIGN: MISSION ASSURANCE MANAGEMENT ENVIRONMENT Jiang Guo, California

  14. A SIMULATION MODEL FOR STREAMING APPLICATIONS OVER A POWER-MANAGEABLE WIRELESS LINK

    E-Print Network [OSTI]

    Bogliolo, Alessandro

    A SIMULATION MODEL FOR STREAMING APPLICATIONS OVER A POWER-MANAGEABLE WIRELESS LINK Andrea-validated simulation model for the exploration of real-time multimedia systems, where system components are modeled

  15. MUSHROOM WASTE MANAGEMENT PROJECT LIQUID WASTE MANAGEMENT

    E-Print Network [OSTI]

    of solid and liquid wastes generated at mushroom producing facilities. Environmental guidelines#12;MUSHROOM WASTE MANAGEMENT PROJECT LIQUID WASTE MANAGEMENT PHASE I: AUDIT OF CURRENT PRACTICE The Mushroom Waste Management Project (MWMP) was initiated by Environment Canada, the BC Ministry

  16. Waste Management Program management plan. Revision 1

    SciTech Connect (OSTI)

    NONE

    1997-02-01T23:59:59.000Z

    As the prime contractor to the Department of Energy Idaho Operations Office (DOE-ID), Lockheed Martin Idaho Technologies Company (LMITCO) provides comprehensive waste management services to all contractors at the Idaho National Engineering and Environmental Laboratory (INEEL) through the Waste Management (WM) Program. This Program Management Plan (PMP) provides an overview of the Waste Management Program objectives, organization and management practices, and scope of work. This document will be reviewed at least annually and updated as needed to address revisions to the Waste Management`s objectives, organization and management practices, and scope of work. Waste Management Program is managed by LMITCO Waste Operations Directorate. The Waste Management Program manages transuranic, low-level, mixed low-level, hazardous, special-case, and industrial wastes generated at or transported to the INEEL.

  17. MATERIALS MANAGEMENT MATERIALS MANAGEMENT -INVENTORY CONTROL

    E-Print Network [OSTI]

    Oliver, Douglas L.

    MATERIALS MANAGEMENT MATERIALS MANAGEMENT - INVENTORY CONTROL Record of Property Transferred from ______ ___________________________________ 2. DEAN (If Applies) ______ ___________________________________ 5. UNIVERSITY DIRECTOR OF MATERIALS MANAGEMENT ______ ___________________________________ 3. HOSPITAL DIRECTOR (If Applies) ______ IF YOU NEED

  18. Managing Critical Management Improvement Initiatives

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2003-10-01T23:59:59.000Z

    Provides requirements and responsibilities for planning, executing and assessing critical management improvement initiatives within DOE. DOE N 251.59, dated 9/27/2004, extends this Notice until 10/01/2005. Archived 11-8-10. Does not cancel other directives.

  19. Valid Inequalities and Restrictions for Stochastic Programming ...

    E-Print Network [OSTI]

    2006-03-22T23:59:59.000Z

    1Department of Management Science and Information Systems, Rutgers University ...... In practice, it is important to construct feasible solutions which provide good ...... [21] ILOG CPLEX, 2000, CPLEX 7.0 Users Manual and Reference Manual,...

  20. Best Management Practice #1: Water Management Planning

    Broader source: Energy.gov [DOE]

    A successful water management program starts with developing a comprehensive water management plan. This plan should be included within existing facility operating plans.

  1. Environmental Management Waste Management Facility (EMWMF) at...

    Office of Environmental Management (EM)

    Technical Review Report: Oak Ridge Reservation Review of the Environmental Management Waste Management Facility (EMWMF) at Oak Ridge By Craig H. Benson, PhD, PE; William H....

  2. Environmental Management

    SciTech Connect (OSTI)

    None

    2014-11-12T23:59:59.000Z

    Another key aspect of the NNSS mission is Environmental Management program, which addresses the environmental legacy from historic nuclear weapons related activities while also ensuring the health and safety of present day workers, the public, and the environment as current and future missions are completed. The Area 5 Radioactive Waste Management site receives low-level and mixed low-level waste from some 28 different generators from across the DOE complex in support of the legacy clean-up DOE Environmental Management project. Without this capability, the DOE would not be able to complete the clean up and proper disposition of these wastes. The program includes environmental protection, compliance, and monitoring of the air, water, plants, animals, and cultural resources at the NNSS. Investigation and implementation of appropriate corrective actions to address the contaminated ground water facilities and soils resulting from historic nuclear testing activities, the demolition of abandoned nuclear facilities, as well as installation of ground water wells to identify and monitor the extent of ground water contamination.

  3. Environmental Management

    ScienceCinema (OSTI)

    None

    2015-01-07T23:59:59.000Z

    Another key aspect of the NNSS mission is Environmental Management program, which addresses the environmental legacy from historic nuclear weapons related activities while also ensuring the health and safety of present day workers, the public, and the environment as current and future missions are completed. The Area 5 Radioactive Waste Management site receives low-level and mixed low-level waste from some 28 different generators from across the DOE complex in support of the legacy clean-up DOE Environmental Management project. Without this capability, the DOE would not be able to complete the clean up and proper disposition of these wastes. The program includes environmental protection, compliance, and monitoring of the air, water, plants, animals, and cultural resources at the NNSS. Investigation and implementation of appropriate corrective actions to address the contaminated ground water facilities and soils resulting from historic nuclear testing activities, the demolition of abandoned nuclear facilities, as well as installation of ground water wells to identify and monitor the extent of ground water contamination.

  4. Experiments for foam model development and validation.

    SciTech Connect (OSTI)

    Bourdon, Christopher Jay; Cote, Raymond O.; Moffat, Harry K.; Grillet, Anne Mary; Mahoney, James F. (Honeywell Federal Manufacturing and Technologies, Kansas City Plant, Kansas City, MO); Russick, Edward Mark; Adolf, Douglas Brian; Rao, Rekha Ranjana; Thompson, Kyle Richard; Kraynik, Andrew Michael; Castaneda, Jaime N.; Brotherton, Christopher M.; Mondy, Lisa Ann; Gorby, Allen D.

    2008-09-01T23:59:59.000Z

    A series of experiments has been performed to allow observation of the foaming process and the collection of temperature, rise rate, and microstructural data. Microfocus video is used in conjunction with particle image velocimetry (PIV) to elucidate the boundary condition at the wall. Rheology, reaction kinetics and density measurements complement the flow visualization. X-ray computed tomography (CT) is used to examine the cured foams to determine density gradients. These data provide input to a continuum level finite element model of the blowing process.

  5. Contract Management Certificate Program

    E-Print Network [OSTI]

    Rose, Michael R.

    Contract Management Certificate Program Accelerate Your Career BusinessandManagement extension bearing the UC seal signifies a well- known, uncompromising standard of academic excellence. #12;Contract Management Certificate Program UC Irvine Extension's Contract Management Certificate Program focuses on core

  6. Structural system identification: Structural dynamics model validation

    SciTech Connect (OSTI)

    Red-Horse, J.R.

    1997-04-01T23:59:59.000Z

    Structural system identification is concerned with the development of systematic procedures and tools for developing predictive analytical models based on a physical structure`s dynamic response characteristics. It is a multidisciplinary process that involves the ability (1) to define high fidelity physics-based analysis models, (2) to acquire accurate test-derived information for physical specimens using diagnostic experiments, (3) to validate the numerical simulation model by reconciling differences that inevitably exist between the analysis model and the experimental data, and (4) to quantify uncertainties in the final system models and subsequent numerical simulations. The goal of this project was to develop structural system identification techniques and software suitable for both research and production applications in code and model validation.

  7. GRIMHX verification and validation action matrix summary

    SciTech Connect (OSTI)

    Trumble, E.F.

    1991-12-01T23:59:59.000Z

    WSRC-RP-90-026, Certification Plan for Reactor Analysis Computer Codes, describes a series of action items to be completed for certification of reactor analysis computer codes used in Technical Specifications development and for other safety and production support calculations. Validation and verification of the code is an integral part of this process. This document identifies the work performed and documentation generated to satisfy these action items for the Reactor Physics computer code GRIMHX. Each action item is discussed with the justification for its completion. Specific details of the work performed are not included in this document but are found in the references. The publication of this document signals the validation and verification effort for the GRIMHX code is completed.

  8. NASA Remote Sensing Validation Data: Saudi Arabia

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

    Myers, Daryl R. (NREL); Al-Abbadi,Naif (King Abdulaziz City for Science and Technology, Energy Research Institite); Wilcox, Steve (NREL)

    Since 1995, the King Abdulaziz City for Science and Technology (KACST) and the National Renewable Energy Laboratory (NREL) have co-operated to establish a 12 station network of high quality solar radiation monitoring installations across the Kingdom of Saudi Arabia. NREL and KACST realized the value of accurate surface solar radiation flux measurements for validation of satellite derived surface and atmospheric solar radiation flux measurements, and is making this data available to support validation of satellite data products related to the NASA Mission to Planet Earth component of the Earth Science Enterprise Earth Observing System (EOS) project to evaluate long term climate trends based on measuements from EOS Terra Platforms. A CIMEL 8 channel sunphotometer for measuring aerosol optical depth at 6 wavelengths and total column water has been deployed at the Solar Village station since February 24, 1999. [Taken from http://rredc.nrel.gov/solar/new_data/Saudi_Arabia/

  9. Validation of Hadronic Models in GEANT4

    SciTech Connect (OSTI)

    Koi, Tatsumi; Wright, Dennis H.; /SLAC; Folger, Gunter; Ivanchenko, Vladimir; Kossov, Mikhail; Starkov, Nikolai; /CERN; Heikkinen, Aatos; /Helsinki Inst. of Phys.; Truscott,; Lei, Fan; /QinetiQ; Wellisch, Hans-Peter

    2007-09-26T23:59:59.000Z

    Geant4 is a software toolkit for the simulation of the passage of particles through matter. It has abundant hadronic models from thermal neutron interactions to ultra relativistic hadrons. An overview of validations in Geant4 hadronic physics is presented based on thin target measurements. In most cases, good agreement is available between Monte Carlo prediction and experimental data; however, several problems have been detected which require some improvement in the models.

  10. Energy, Data Management, Reporting

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

    About Schneider Electric Enterprise wide Data Management Outputs Foundation and results Part of a complete energy management solution Schneider Electric...

  11. Handling Ambiguity via Input-Output Kernel Learning Xinxing Xu Ivor W. Tsang Dong Xu

    E-Print Network [OSTI]

    Tsang Wai Hung "Ivor"

    of Computer Engineering, Nanyang Technological University, Singapore xuxi0006@ntu.edu.sg IvorTsang@ntu.edu.sg dongxu@ntu.edu.sg Abstract--Data ambiguities exist in many data mining and machine learning applications the effectiveness of our proposed IOKL framework. Keywords-Group Multiple Kernel Learning; Input-Output Kernel

  12. Using Relative Costs in Workflow Scheduling to Cope with Input Data Uncertainty

    E-Print Network [OSTI]

    Sakellariou, Rizos

    2012 ACM 978-1-4503-1608-8/12/12 ...$15.00. the heterogeneous resources in order to estimate the exeUsing Relative Costs in Workflow Scheduling to Cope with Input Data Uncertainty Luiz F. Bittencourt the application, a scheduler must distribute the components of the workflow in the avail- able resources using

  13. Nonlinear control for systems with bounded inputs: Real-time embedded control applied to UAVs

    E-Print Network [OSTI]

    Sontag, Eduardo

    Nonlinear control for systems with bounded inputs: Real-time embedded control applied to UAVs Farid) UAVs including conventional helicopters, four- rotors aircraft (Draganflyer) and several designs for small aerial vehicles, some restrictions and conditions specific to small UAVs have to be considered

  14. Position Teaching of a Robot Arm by Demonstration with a Wearable Input Device

    E-Print Network [OSTI]

    Duckett, Tom

    Position Teaching of a Robot Arm by Demonstration with a Wearable Input Device Jacopo Aleotti device for sensing human arm movements to the software con- troller of a robot arm. The method does not require analytical modelling of either the human arm or robot, and can be customised for different users

  15. Membrane potential and spike train statistics depend distinctly on input statistics Robert Rosenbaum1

    E-Print Network [OSTI]

    Azevedo, Ricardo

    - niques such as voltage sensitive dyes and local field po- tentials capture a mixture of subthreshold are most sensitive to modula- tions of a cell's input current when excitation is strong and firing rates. For example, the correlation between two signals obtained from voltage sensitive dyes or local field

  16. Input parameters to codes which analyze LMFBR wire-wrapped bundles

    SciTech Connect (OSTI)

    Hawley, J.T.; Chan, Y.N.; Todreas, N.E.

    1980-12-01T23:59:59.000Z

    This report provides a current summary of recommended values of key input parameters required by ENERGY code analysis of LMFBR wire wrapped bundles. This data is based on the interpretation of experimental results from the MIT and other available laboratory programs.

  17. Introduction The bioenergy industry is pursuing low-input crops to be

    E-Print Network [OSTI]

    Liskiewicz, Maciej

    1 Introduction The bioenergy industry is pursuing low-input crops to be grown on marginal lands the unintentional introduction and spread of potentially invasive species. Background Information The bioenergy- generation bioenergy crops are grown specifically for biomass pro- duction. Therefore, bioenergy crops

  18. Rank Tests for the Observability of Discrete-Time Jump Linear Systems with Inputs

    E-Print Network [OSTI]

    Rank Tests for the Observability of Discrete-Time Jump Linear Systems with Inputs Ehsan Elhamifar of rank tests on the parameters of the JLS when the discrete state sequence is arbitrary. Our key verify observ- ability by checking a number of rank tests that is only quadratic in the number

  19. Input Substitution and Business Energy Consumption: Evidence from ABS Energy Survey Data

    E-Print Network [OSTI]

    1 Input Substitution and Business Energy Consumption: Evidence from ABS Energy Survey Data Kay Cao applies the system of equations approach to energy consumption modelling using the ABS 2008-09 Energy of equations, energy consumption modelling, elasticity of substitution JEL codes: C51, D24 * Please do

  20. Soft-Input, Iterative, Reed-Solomon Decoding using Redundant Parity-Check Equations

    E-Print Network [OSTI]

    Kavcic, Aleksandar

    approach to the iterative decoding of Reed-Solomon (RS) codes. The pre- sented methodology utilizesSoft-Input, Iterative, Reed-Solomon Decoding using Redundant Parity-Check Equations Jason Bellorado techniques is achievable with the presented methodology. The complexity of the proposed algorithm is orders

  1. Nuclear norm system identification with missing inputs and outputs Zhang Liua,

    E-Print Network [OSTI]

    Vandenberghe, Lieven

    Nuclear norm system identification with missing inputs and outputs Zhang Liua, , Anders Hanssonb,1 formulation and uses the nuclear norm heuristic for structured low-rank matrix approximation, with the missing of the alternating direc- tion method of multipliers (ADMM) to solve regularized or non-regularized nuclear norm

  2. CRYOGENIC TESTING OF THE RF INPUT WAVEGUIDE FOR THE CEBAF UPGRADE CRYOMODULE*

    E-Print Network [OSTI]

    CRYOGENIC TESTING OF THE RF INPUT WAVEGUIDE FOR THE CEBAF UPGRADE CRYOMODULE* T. Hiatt , M. Breth to support the planned CEBAF upgrade at the Jefferson Lab a new cryomodule has been designed. A key component original CEBAF waveguides. A series of tests were performed on the waveguide to include temperature

  3. Elevated CO2 stimulates grassland soil respiration by increasing carbon inputs rather than by enhancing soil

    E-Print Network [OSTI]

    Minnesota, University of

    Elevated CO2 stimulates grassland soil respiration by increasing carbon inputs rather than It is not clear whether the consistent positive effect of elevated CO2 on soil respiration (soil carbon flux, SCF) results from increased plant and microbial activity due to (i) greater C availability through CO2-induced

  4. Energy Input, Carbon Intensity, and Cost for Ethanol Produced from Brown Seaweed

    E-Print Network [OSTI]

    Victoria, University of

    Energy Input, Carbon Intensity, and Cost for Ethanol Produced from Brown Seaweed by Aaron, Carbon Intensity, and Cost for Ethanol Produced from Brown Seaweed by Aaron Philippsen B.Eng, University of Mechanical Engineering) Co-Supervisor Brown macroalgae or brown seaweed is a promising source of ethanol

  5. Analytical input-output and supply chain study of China's coke and steel sectors

    E-Print Network [OSTI]

    Li, Yu, 1976-

    2004-01-01T23:59:59.000Z

    I design an input-output model to investigate the energy supply chain of coal-coke-steel in China. To study the demand, supply, and energy-intensity issues for coal and coke from a macroeconomic perspective, I apply the ...

  6. Using input-output techniques to address economic and energy issues in Malaysia

    E-Print Network [OSTI]

    activities. Expand the basic activity: manufacturing into two activities: 1) high energy intensity 2) low energy intensity Assume they have equal share of output and their input structure is similar: Then assume? Assume electricity intensity: · high energy intensity 1.4 · low energy intensity 0.4 Now calculate

  7. Blind Channel Estimation in OFDM Systems by Relying on the Gaussian Assumption of the Input

    E-Print Network [OSTI]

    Quadeer, Ahmed Abdul

    Blind Channel Estimation in OFDM Systems by Relying on the Gaussian Assumption of the Input T. Y methods rely on some form of training which reduces the useful data rate. Here instead we blindly estimate maxima of the ML objective function. One is the blind Genetic algorithm and the other is the semi-blind

  8. RIS-M-2256 INPUT DESCRIPTION FOR THE THREE-DIMENSIONAL

    E-Print Network [OSTI]

    , PWR TYPE REACTORS, REACTOR KINETICS, THREE-DIMENSIONAL CALCULATIONS, TRANSIENTS. UDC 621.039.514 : 621 calculations for the PWR core. It combines a nodal theory neutron kinetics calculation with transient sub calculations. The present report describes the input for ANTI. INIS descriptors; A CODES, BURNUP, HYDRAULICS

  9. Using Feedforward Neural Networks and Forward Selection of Input Variables for an Ergonomics Data

    E-Print Network [OSTI]

    Kaber, David B.

    Using Feedforward Neural Networks and Forward Selection of Input Variables for an Ergonomics Data-gradient algorithm to develop an FNN. This article presents an incremental step in the use of FNNs for ergonomics enhancing the effectiveness of the use of neural networks when observations are missing from ergonomics

  10. Assisted Teleoperation Strategies for Aggressively Controlling a Robot Arm with 2D Input

    E-Print Network [OSTI]

    Indiana University

    Assisted Teleoperation Strategies for Aggressively Controlling a Robot Arm with 2D Input Erkang You,hauserk}@indiana.edu Abstract--This paper studies assisted teleoperation techniques for controlling a 6DOF robot arm using click, and overall satisfaction. I. INTRODUCTION Assisted teleoperation allows a user to operate a robot while

  11. Responses of Magnocellular Neurons to Osmotic Stimulation Involves Coactivation of Excitatory and Inhibitory Input: An

    E-Print Network [OSTI]

    Feng, Jianfeng

    of normal rats respond to intra- venous infusions of hypertonic saline with gradual, linear in- creases response to such infusions. We show that a simple computational model can reproduce these responses well, but only if it is assumed that hypertonic infusions coacti- vate excitatory and inhibitory synaptic inputs

  12. Total electron and proton energy input during auroral substorms: Remote sensing with IMAGE-FUV

    E-Print Network [OSTI]

    California at Berkeley, University of

    Total electron and proton energy input during auroral substorms: Remote sensing with IMAGE-FUV B the ionospheric Pedersen conductivity and produces Joule heat- ing in the presence of an electric field. In addition, part of the energy of the auroral particles is dissipated into local heating through dissociation

  13. Increasing the robustness of the input-shaping method using adaptive control

    E-Print Network [OSTI]

    Dharne, Avinash Gopal

    2002-01-01T23:59:59.000Z

    Input-Shaping is a widely used method of suppressing residual vibrations in point-to-point motion of flexible bodies. It is easy to implement and gives good results if the dynamics of the system are known accurately. However, it is not very robust...

  14. Impact of Cotton Monoculture, Variety Selection, and Chemical Inputs on Disease Control, 2011

    E-Print Network [OSTI]

    Liskiewicz, Maciej

    Impact of Cotton Monoculture, Variety Selection, and Chemical Inputs on Disease Control, 2011 P. M, Virginia Tech, Blacksburg, VA 24061 Cotton was harvested on 115,000 acres in southeastern Virginia incognita, caused the greatest loss of cotton yield in Virginia (Table 1). Other nematodes causing yield

  15. Developed by: Lawrence Berkeley National Laboratory with input from industry partners representing data

    E-Print Network [OSTI]

    Division Ernest Orlando Lawrence Berkeley National Laboratory University of California 1 Cyclotron RoadLBNL-53483 Developed by: Lawrence Berkeley National Laboratory with input from industry partners RROOAADDMMAAPP A 10-Year Research Plan For Data Center Buildings #12;DISCLAIMER The Lawrence Berkeley National

  16. Determining Spatial and Temporal Inputs of Freshwater, Including Submarine Groundwater Discharge,

    E-Print Network [OSTI]

    Miami, University of

    of freshwater into the bay. A second model using Sr2+ /Ca2+ ratios was developed to discern fresh groundwater. Florida . Submarine groundwater discharge Introduction The timing and sources of freshwater deliveryDetermining Spatial and Temporal Inputs of Freshwater, Including Submarine Groundwater Discharge

  17. Landscape Management Systems The Visual Management System

    E-Print Network [OSTI]

    Standiford, Richard B.

    Landscape Management Systems The Visual Management System of the Forest Service, USDA1 Warren R presentation on how the Visual Management System (VMS) functions. 1/ Presented at the National Conference Manual 2380, Landscape Management, USDA. INTRODUCTION The American people are concerned about the quality

  18. Valid Inequalities Based on Demand Propagation for Chemical ...

    E-Print Network [OSTI]

    sara

    2012-10-04T23:59:59.000Z

    assumed that production tasks have a single input and a single output material; ... In the process systems engineering (PSE) literature these facilities are termed...

  19. Management Overview

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't HappenLow-Cost ProductionManagement Controls over

  20. Management Overview

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't HappenLow-Cost ProductionManagement Controls overOverview -

  1. Management Overview

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't HappenLow-Cost ProductionManagement Controls overOverview

  2. Management Overview

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't HappenLow-Cost ProductionManagement Controls

  3. Management Overview

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't HappenLow-Cost ProductionManagement ControlsVHTR Materials

  4. DEACTIVATION MANAGEMENT

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation |South42.2Consolidated Edison5 by ISA -ofDATA REPORT ON7 DATE:AFPsMANAGEMENT The

  5. Management Overview

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces and InterfacesAdministration -Lowellfor 2013Malcolm J.Management Alert:Used

  6. Management Overview

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces and InterfacesAdministration -Lowellfor 2013Malcolm J.Management

  7. NIF Management

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest Regionat Cornell Batteries & FuelTechnologies |T I OPSNIF Management

  8. Bibliographic Management

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone6 M. Babzien, I.Program InformationBibliographic Managment

  9. Solar Energy Research Institute Validation Test House Site Handbook

    SciTech Connect (OSTI)

    Burch, J.; Wortman, D.; Judkoff, R.; Hunn, B.

    1985-05-01T23:59:59.000Z

    The Validation Test House at the Solar Energy Research Institute in Golden, Colorado, is being used to collect performance data for analysis/design tool validation as part of the DOE Passive Solar Class A Performance Evaluation Program.

  10. Benchmark data for validating irradiated fuel compositions used in criticality calculations

    SciTech Connect (OSTI)

    Bierman, S.R.; Talbert, R.J.

    1994-10-01T23:59:59.000Z

    To establish criticality safety margins utilizing burnup credit in the storage and transport of spent reactor fuels requires a knowledge of the uncertainty in the calculated fuel composition used in making the reactivity assessment. To provide data for validating such calculated burnup fuel compositions, radiochemical assays have been obtained as part of the United States Department of Energy From-Reactor Cask Development Program. Assay results and associated operating histories on the initial three samples analyzed in this effort are presented. The three samples were taken from different axial regions of a Pressurized Water Reactor fuel rod and represent radiation exposures of about 37, 27, and 44 GWd/MTU. The data are presented in a benchmark type format to facilitate identification/referencing and computer code input.

  11. Model Validation and Testing: The Methodological Foundation of ASHRAE Standard 140; Preprint

    SciTech Connect (OSTI)

    Judkoff, R.; Neymark, J.

    2006-07-01T23:59:59.000Z

    Ideally, whole-building energy simulation programs model all aspects of a building that influence energy use and thermal and visual comfort for the occupants. An essential component of the development of such computer simulation models is a rigorous program of validation and testing. This paper describes a methodology to evaluate the accuracy of whole-building energy simulation programs. The methodology is also used to identify and diagnose differences in simulation predictions that may be caused by algorithmic differences, modeling limitations, coding errors, or input errors. The methodology has been adopted by ANSI/ASHRAE Standard 140 (ANSI/ASHRAE 2001, 2004), Method of Test for the Evaluation of Building Energy Analysis Computer Programs. A summary of the method is included in the ASHRAE Handbook of Fundamentals (ASHRAE 2005). This paper describes the ANSI/ASHRAE Standard 140 method of test and its methodological basis. Also discussed are possible future enhancements to Standard 140 and related research recommendations.

  12. Validation of Heat Transfer Thermal Decomposition and Container Pressurization of Polyurethane Foam.

    SciTech Connect (OSTI)

    Scott, Sarah Nicole; Dodd, Amanda B.; Larsen, Marvin E. [Sandia National Laboratories, Albuquerque, NM; Suo-Anttila, Jill M. [Sandia National Laboratories, Albuquerque, NM; Erickson, Kenneth L

    2014-09-01T23:59:59.000Z

    Polymer foam encapsulants provide mechanical, electrical, and thermal isolation in engineered systems. In fire environments, gas pressure from thermal decomposition of polymers can cause mechanical failure of sealed systems. In this work, a detailed uncertainty quantification study of PMDI-based polyurethane foam is presented to assess the validity of the computational model. Both experimental measurement uncertainty and model prediction uncertainty are examined and compared. Both the mean value method and Latin hypercube sampling approach are used to propagate the uncertainty through the model. In addition to comparing computational and experimental results, the importance of each input parameter on the simulation result is also investigated. These results show that further development in the physics model of the foam and appropriate associated material testing are necessary to improve model accuracy.

  13. Experimental validation of GADRAS's coupled neutron-photon inverse radiation transport solver.

    SciTech Connect (OSTI)

    Mattingly, John K.; Mitchell, Dean James; Harding, Lee T.

    2010-08-01T23:59:59.000Z

    Sandia National Laboratories has developed an inverse radiation transport solver that applies nonlinear regression to coupled neutron-photon deterministic transport models. The inverse solver uses nonlinear regression to fit a radiation transport model to gamma spectrometry and neutron multiplicity counting measurements. The subject of this paper is the experimental validation of that solver. This paper describes a series of experiments conducted with a 4.5 kg sphere of {alpha}-phase, weapons-grade plutonium. The source was measured bare and reflected by high-density polyethylene (HDPE) spherical shells with total thicknesses between 1.27 and 15.24 cm. Neutron and photon emissions from the source were measured using three instruments: a gross neutron counter, a portable neutron multiplicity counter, and a high-resolution gamma spectrometer. These measurements were used as input to the inverse radiation transport solver to evaluate the solver's ability to correctly infer the configuration of the source from its measured radiation signatures.

  14. Integrated performance validation facility for KNICS

    SciTech Connect (OSTI)

    Kim, D. G.; Choi, J. J.; Choi, M. J.; Choe, I. N. [I and C Engineering Dept., Korea Power Engineering Company, 360-9, Mabuk-Dong, Yongin-Si. Gyeonggi-Do. 446-713 (Korea, Republic of); Gong, Y. H.; Kim, K. H. [KNICS R and D Center, 28-1, Seongju-Dong, Changwon-Si. 641-120 (Korea, Republic of)

    2006-07-01T23:59:59.000Z

    For the application of new digital control and monitoring systems in nuclear power plants (NPPs), it is required to satisfy the proven technology requirements. They should have at least three years of documented, satisfactory service as modules of subsystems in power plant applications similar to that of NPP, or it should have three years of documented, satisfactory service in other plant applications which are similar to the use in NPP (EPRI-URD's first option). However, tlte digital control and monitoring systems developed by Korea Nuclear Instrumentation A Control System (KNICS) R and D Center, due to the nature of the firstly developed system, have had no prior application in any NPPs as well as industrial and fossil power plants. Therefore, well defined program using 'Integrated Performance Validation Facility (IPVF) 'for prototype testing has been prepared to verify their performance, operability and reliability according to EPRI-URD's second option: It has satisfactorily completed a defined program of prototype testing which has been designed to verify its performance. The IPVF for KNICS is being designed to justify that new control systems are proven to meet utility's requirements. The IPVF comprises Virtual Operating Crew (VOC) and Test Commander (TC). Human System Interface (HIS). Evaluation System, and Simulator and Interface System. PLC and DCS developed by KNICS are connected with IPVF. Control logics and HIS of real NPP are implemented in the KNICS PLC and DCS, which are the validation object. Finally. IPVF will be extremely valuable for other activities in addition to the validation of the new control system equipment, including the testing and evaluation of plant control algorithms, personnel training, and support for long-term maintenance of the control systems. (authors)

  15. On the Practicality of Abductive Validation Tim Menzies 1

    E-Print Network [OSTI]

    Menzies, Tim

    On the Practicality of Abductive Validation Tim Menzies 1 Abstract. An abductive framework is described for validating the- ories using a library of known or desired behaviour. Abduction is known. The computational limits of the framework is therefore explored. We find that abductive validation is a practical

  16. Validating Computer-Designed Proteins for Vaccines

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism inS-4500II FieldVacancy-Induced NanoscaleValidating Computer-Designed

  17. Validating Computer-Designed Proteins for Vaccines

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism inS-4500II FieldVacancy-Induced NanoscaleValidating

  18. Validating Computer-Designed Proteins for Vaccines

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered energy consumption by sectorlongUpdates byUserUtility-ScaleValidating

  19. Climate Change Impacts for Conterminous USA: An Integrated Assessment Part 2. Models and Validation

    SciTech Connect (OSTI)

    Thomson, Allison M.; Rosenberg, Norman J.; Izaurralde, R Cesar C.; Brown, Robert A.

    2005-03-01T23:59:59.000Z

    As CO{sub 2} and other greenhouse gases accumulate in the atmosphere and contribute to rising global temperatures, it is important to examine how a changing climate may affect natural and managed ecosystems. In this series of papers, we study the impacts of climate change on agriculture, water resources and natural ecosystems in the conterminous United States using a suite of climate change predictions from General Circulation Models (GCMs) as described in Part 1. Here we describe the agriculture model EPIC and the HUMUS water model and validate them with historical crop yields and streamflow data. We compare EPIC simulated grain and forage crop yields with historical crop yields from the US Department of Agriculture and find an acceptable level of agreement for this study. The validation of HUMUS simulated streamflow with estimates of natural streamflow from the US Geological Survey shows that the model is able to reproduce significant relationships and capture major trends.

  20. Validation of the thermospheric vector spherical harmonic (VSH) computer model. Master's thesis

    SciTech Connect (OSTI)

    Davis, J.L.

    1991-01-01T23:59:59.000Z

    A semi-empirical computer model of the lower thermosphere has been developed that provides a description of the composition and dynamics of the thermosphere (Killeen et al., 1992). Input variables needed to run the VSH model include time, space and geophysical conditions. One of the output variables the model provides, neutral density, is of particular interest to the U.S. Air Force. Neutral densities vary both as a result of change in solar flux (eg. the solar cycle) and as a result of changes in the magnetosphere (eg. large changes occur in neutral density during geomagnetic storms). Satellites in earth orbit experience aerodynamic drag due to the atmospheric density of the thermosphere. Variability in the neutral density described above affects the drag a satellite experiences and as a result can change the orbital characteristics of the satellite. These changes make it difficult to track the satellite's position. Therefore, it is particularly important to insure that the accuracy of the model's neutral density is optimized for all input parameters. To accomplish this, a validation program was developed to evaluate the strengths and weaknesses of the model's density output by comparing it to SETA-2 (satellite electrostatic accelerometer) total mass density measurements.

  1. Gain, directionality and noise in microwave SQUID amplifiers: Input-output approach

    E-Print Network [OSTI]

    Archana Kamal; John Clarke; Michel Devoret

    2012-06-20T23:59:59.000Z

    We present a new theoretical framework to analyze microwave amplifiers based on the dc SQUID. Our analysis applies input-output theory generalized for Josephson junction devices biased in the running state. Using this approach we express the high frequency dynamics of the SQUID as a scattering between the participating modes. This enables us to elucidate the inherently nonreciprocal nature of gain as a function of bias current and input frequency. This method can, in principle, accommodate an arbitrary number of Josephson harmonics generated in the running state of the junction. We report detailed calculations taking into account the first few harmonics that provide simple semi-quantitative results showing a degradation of gain, directionality and noise of the device as a function of increasing signal frequency. We also discuss the fundamental limits on device performance and applications of this formalism to real devices.

  2. Input/Output of ab-initio nuclear structure calculations for improved performance and portability

    SciTech Connect (OSTI)

    Laghave, Nikhil

    2010-12-15T23:59:59.000Z

    Many modern scientific applications rely on highly computation intensive calculations. However, most applications do not concentrate as much on the role that input/output operations can play for improved performance and portability. Parallelizing input/output operations of large files can significantly improve the performance of parallel applications where sequential I/O is a bottleneck. A proper choice of I/O library also offers a scope for making input/output operations portable across different architectures. Thus, use of parallel I/O libraries for organizing I/O of large data files offers great scope in improving performance and portability of applications. In particular, sequential I/O has been identified as a bottleneck for the highly scalable MFDn (Many Fermion Dynamics for nuclear structure) code performing ab-initio nuclear structure calculations. We develop interfaces and parallel I/O procedures to use a well-known parallel I/O library in MFDn. As a result, we gain efficient I/O of large datasets along with their portability and ease of use in the down-stream processing. Even situations where the amount of data to be written is not huge, proper use of input/output operations can boost the performance of scientific applications. Application checkpointing offers enormous performance improvement and flexibility by doing a negligible amount of I/O to disk. Checkpointing saves and resumes application state in such a manner that in most cases the application is unaware that there has been an interruption to its execution. This helps in saving large amount of work that has been previously done and continue application execution. This small amount of I/O provides substantial time saving by offering restart/resume capability to applications. The need for checkpointing in optimization code NEWUOA has been identified and checkpoint/restart capability has been implemented in NEWUOA by using simple file I/O.

  3. A New Ensemble of Perturbed-Input-Parameter Simulations by the Community Atmosphere Model

    SciTech Connect (OSTI)

    Covey, C; Brandon, S; Bremer, P T; Domyancis, D; Garaizar, X; Johannesson, G; Klein, R; Klein, S A; Lucas, D D; Tannahill, J; Zhang, Y

    2011-10-27T23:59:59.000Z

    Uncertainty quantification (UQ) is a fundamental challenge in the numerical simulation of Earth's weather and climate, and other complex systems. It entails much more than attaching defensible error bars to predictions: in particular it includes assessing low-probability but high-consequence events. To achieve these goals with models containing a large number of uncertain input parameters, structural uncertainties, etc., raw computational power is needed. An automated, self-adapting search of the possible model configurations is also useful. Our UQ initiative at the Lawrence Livermore National Laboratory has produced the most extensive set to date of simulations from the US Community Atmosphere Model. We are examining output from about 3,000 twelve-year climate simulations generated with a specialized UQ software framework, and assessing the model's accuracy as a function of 21 to 28 uncertain input parameter values. Most of the input parameters we vary are related to the boundary layer, clouds, and other sub-grid scale processes. Our simulations prescribe surface boundary conditions (sea surface temperatures and sea ice amounts) to match recent observations. Fully searching this 21+ dimensional space is impossible, but sensitivity and ranking algorithms can identify input parameters having relatively little effect on a variety of output fields, either individually or in nonlinear combination. Bayesian statistical constraints, employing a variety of climate observations as metrics, also seem promising. Observational constraints will be important in the next step of our project, which will compute sea surface temperatures and sea ice interactively, and will study climate change due to increasing atmospheric carbon dioxide.

  4. Leaf dynamics, stemflow and throughfall water and nutrient inputs in a subtropical savanna parkland, Texas

    E-Print Network [OSTI]

    Angerer, Jay Peter

    1991-01-01T23:59:59.000Z

    for K, followed by Mg, P, N and Ca. Annual throughfall and stemflow inputs (both nutrients and water) differed among clusters as a result of differing shrub cluster size, total canopy area, and species composition. Throughfall generally made up 97... of Shrub Clusters Plant abundance and size Biomass above BTF collectors Potential Leachability Calcium Magnesium Potassium Nitrogen Phosphorus Bulk Precipitation and Bulk Throughfall Chemistry Nutrient concentrations Regression relationships...

  5. CASL Validation Data: An Initial Review

    SciTech Connect (OSTI)

    Nam Dinh

    2011-01-01T23:59:59.000Z

    The study aims to establish a comprehensive view of data needed for supporting implementation of the Consortium of Advanced Simulation of LWRs (CASL). Insights from this review (and its continual refinement), together with other elements developed in CASL, should provide the foundation for developing the CASL Validation Data Plan (VDP). VDP is instrumental to the development and assessment of CASL simulation tools as predictive capability. Most importantly, to be useful for CASL, the VDP must be devised (and agreed upon by all participating stakeholders) with appropriate account for nature of nuclear engineering applications, the availability, types and quality of CASL-related data, and novelty of CASL goals and its approach to the selected challenge problems. The initial review (summarized on the January 2011 report version) discusses a broad range of methodological issues in data review and Validation Data Plan. Such a top-down emphasis in data review is both needed to see a big picture on CASL data and appropriate when the actual data are not available for detailed scrutiny. As the data become available later in 2011, a revision of data review (and regular update) should be performed. It is expected that the basic framework for review laid out in this report will help streamline the CASL data review in a way that most pertinent to CASL VDP.

  6. Anomalous electron loading in SLAC 5045 klystron and relativistic klystron input cavities

    SciTech Connect (OSTI)

    Koontz, R.F.; Fowkes, R.W.; Lavine, T.L.; Miller, R.H.; Vlieks, A.E.

    1989-03-01T23:59:59.000Z

    Recent studies of RF breakup and instability in the SLAC 5045 klystrons have revealed that many production klystrons show loading of the input cavity by low energy electrons even under cold cathode no beam conditions. Sometime after the onset of the RF drive pulse, the input cavity absorbs a portion of the incident RF drive that would otherwise be reflected from the not-beam-loaded cavity. This power absorption is a function of drive level, and of axial magnetic field surrounding the cavity. No power absorption is present when the axial magnetic field is zero. This same phenomenon has been observed in the input cavity of relativistic klystron experiments being conducted as part of the SLAC-LBL-LLNL development program. The phenomenon may be associated with RF breakup and RF instability in SLAC 5045 klystrons, and with unstable pulse shortening in the relativistic klystron experiments. This paper outlines some old and new observations of microwave beam device malfunctions that probably are associated with low energy electron fluxes in the vacuum environments of microwave power devices. 2 refs., 5 figs.

  7. DOE Jobs Online (Hiring Manager), Office of Human Capitol Management...

    Energy Savers [EERE]

    Jobs Online (Hiring Manager), Office of Human Capitol Management Innovation and Solutions DOE Jobs Online (Hiring Manager), Office of Human Capitol Management Innovation and...

  8. A Network Congestion Control Approach to Airport Departure Management

    E-Print Network [OSTI]

    Gummadi, Ramakrishna

    for a generic airport and then validate it using surface surveillance data from Boston Logan InternationalA Network Congestion Control Approach to Airport Departure Management Harshad Khadilkar and Hamsa at airports, by posing the problem in a network congestion control framework. We develop a network model

  9. Effect of ocean surface currents on wind stress, heat flux, and wind power input to the ocean

    E-Print Network [OSTI]

    Thompson, LuAnne

    Effect of ocean surface currents on wind stress, heat flux, and wind power input to the ocean, J. T., and L. Thompson (2006), Effect of ocean surface currents on wind stress, heat flux, and wind power input to the ocean, Geophys. Res. Lett., 33, L09604, doi:10.1029/2006GL025784. 1. Introduction [2

  10. Abstract The series-input parallel-output dc-dc converter combination provides inherent sharing among the converters.

    E-Print Network [OSTI]

    Kimball, Jonathan W.

    for advanced digital loads. With this control in place, a "super-matched" current sharing control emerges gain produces a "super-match" characteristic that holds even during transient conditions, limited only to function independently, four input capacitors decouple the inputs. (It is advantageous to interleave

  11. Minimizing the Number of Inputs while Applying Adaptive Test Cases Guy-Vincent Jourdan, Hasan Ural and Nejib Zaguia

    E-Print Network [OSTI]

    Jourdan, Guy-Vincent

    1 Minimizing the Number of Inputs while Applying Adaptive Test Cases Guy-Vincent Jourdan, Hasan engineering, adaptive testing, adaptive test cases, minimization of test inputs 1. Introduction State is to construct a set of test cases to be employed during testing of potential implementations of the specified

  12. On the Patterns of Wind-Power Input to the Ocean Circulation FABIEN ROQUET AND CARL WUNSCH

    E-Print Network [OSTI]

    Wunsch, Carl

    On the Patterns of Wind-Power Input to the Ocean Circulation FABIEN ROQUET AND CARL WUNSCH received 1 February 2011, in final form 12 July 2011) ABSTRACT Pathways of wind-power input into the ocean pumping, with a pattern determined by the wind curl rather than the wind itself. Regions of power

  13. TRANSPORT THEORY AND STATISTICAL PHYSICS, 23(5), 671-700 (1994) OPTIMIZATION OF SOLAR RADIATION INPUT IN FOREST

    E-Print Network [OSTI]

    Myneni, Ranga B.

    1994-01-01T23:59:59.000Z

    biomass through photosynthesis. In general, the supply of radiant energy sets a limit to potential INPUT IN FOREST CANOPY AS A TOOL FOR PLANTING/CUTTING OF TREES Yu. Knyazikhin', (l) A. Marshak,(1) D on the input coefficientsof the derived equation. 1. INTRODUCTION In a plant canopy,the aboveground biomass

  14. BUILDING A RISK MANAGEMENT PLAN BUILDING A RISK MANAGEMENT PL LDING A RISK MANAGEMENT PLAN BUILDING A RISK MANAGEMENT PLAN

    E-Print Network [OSTI]

    Florida, University of

    BUILDING A RISK MANAGEMENT PLAN BUILDING A RISK MANAGEMENT PL LDING A RISK MANAGEMENT PLAN BUILDING A RISK MANAGEMENT PLAN MANAGEMENT PLAN BUILDING A RISK MANAGEMENT PLAN BUILDING A R RISK MANAGEMENT PLAN BUILDING A RISK MANAGEMENT PLAN BUILDIN T PLAN BUILDING A RISK MANAGEMENT PLAN BUILDING A RISK MANAGEM

  15. Functional Facilities Management Energy Management Structure

    E-Print Network [OSTI]

    Gulliver, Robert

    Functional Facilities Management Energy Management Structure Jerome Malmquist Director Erick Van Controls Systems Jeff Davis Assistant Director, Facilities Engineering & Energy Efficiency Gene Husted Principal Engineer / Commissioning Emily Robin-Abbott St. Paul Energy Engineer & Technicians Supervisor Dan

  16. Load Management for Industry

    E-Print Network [OSTI]

    Konsevick, W. J., Jr.

    1982-01-01T23:59:59.000Z

    In the electric utility industry, load management provides the opportunity to control customer loads to beneficially alter a utility's load curve Load management alternatives are covered. Load management methods can be broadly classified into four...

  17. IT Project Manager

    Broader source: Energy.gov [DOE]

    This position is located in the IT Project Management Office (JP). A successful candidate in this position will serve as an IT Program Manager and technical expert responsible for directly managing...

  18. The Blazar Sequence: Validity and Predictions

    E-Print Network [OSTI]

    P. Padovani

    2006-10-18T23:59:59.000Z

    The "blazar sequence" posits that the most powerful BL Lacertae objects and flat-spectrum radio quasars should have relatively small synchrotron peak frequencies, nu_peak, and that the least powerful such objects should have the highest nu_peak values. This would have strong implications for our understanding of jet formation and physics and the possible detection of powerful, moderately high-redshift TeV blazars. I review the validity of the blazar sequence by using the results of very recent surveys and compare its detailed predictions against observational data. I find that the blazar sequence in its simplest form is ruled out. However, powerful flat-spectrum radio quasars appear not to reach the nu_peak typical of BL Lacs. This could indeed be related to some sort of sequence, although it cannot be excluded that it is instead due to a selection effect.

  19. Boron-10 Lined Proportional Counter Model Validation

    SciTech Connect (OSTI)

    Lintereur, Azaree T.; Siciliano, Edward R.; Kouzes, Richard T.

    2012-06-30T23:59:59.000Z

    The Department of Energy Office of Nuclear Safeguards (NA-241) is supporting the project Coincidence Counting With Boron-Based Alternative Neutron Detection Technology at Pacific Northwest National Laboratory (PNNL) for the development of an alternative neutron coincidence counter. The goal of this project is to design, build and demonstrate a boron-lined proportional tube-based alternative system in the configuration of a coincidence counter. This report discusses the validation studies performed to establish the degree of accuracy of the computer modeling methods current used to simulate the response of boron-lined tubes. This is the precursor to developing models for the uranium neutron coincidence collar under Task 2 of this project.

  20. Real-World Hydrogen Technology Validation: Preprint

    SciTech Connect (OSTI)

    Sprik, S.; Kurtz, J.; Wipke, K.; Ramsden, T.; Ainscough, C.; Eudy, L.; Saur, G.

    2012-03-01T23:59:59.000Z

    The Department of Energy, the Department of Defense's Defense Logistics Agency, and the Department of Transportation's Federal Transit Administration have funded learning demonstrations and early market deployments to provide insight into applications of hydrogen technologies on the road, in the warehouse, and as stationary power. NREL's analyses validate the technology in real-world applications, reveal the status of the technology, and facilitate the development of hydrogen and fuel cell technologies, manufacturing, and operations. This paper presents the maintenance, safety, and operation data of fuel cells in multiple applications with the reported incidents, near misses, and frequencies. NREL has analyzed records of more than 225,000 kilograms of hydrogen that have been dispensed through more than 108,000 hydrogen fills with an excellent safety record.

  1. Verification and Validation Strategy for LWRS Tools

    SciTech Connect (OSTI)

    Carl M. Stoots; Richard R. Schultz; Hans D. Gougar; Thomas K Larson; Michael Corradini; Laura Swiler; David Pointer; Jess Gehin

    2012-09-01T23:59:59.000Z

    One intension of the Department of Energy (DOE) Light Water Reactor Sustainability (LWRS) program is to create advanced computational tools for safety assessment that enable more accurate representation of a nuclear power plant safety margin. These tools are to be used to study the unique issues posed by lifetime extension and relicensing of the existing operating fleet of nuclear power plants well beyond their first license extension period. The extent to which new computational models / codes such as RELAP-7 can be used for reactor licensing / relicensing activities depends mainly upon the thoroughness with which they have been verified and validated (V&V). This document outlines the LWRS program strategy by which RELAP-7 code V&V planning is to be accomplished. From the perspective of developing and applying thermal-hydraulic and reactivity-specific models to reactor systems, the US Nuclear Regulatory Commission (NRC) Regulatory Guide 1.203 gives key guidance to numeric model developers and those tasked with the validation of numeric models. By creating Regulatory Guide 1.203 the NRC defined a framework for development, assessment, and approval of transient and accident analysis methods. As a result, this methodology is very relevant and is recommended as the path forward for RELAP-7 V&V. However, the unique issues posed by lifetime extension will require considerations in addition to those addressed in Regulatory Guide 1.203. Some of these include prioritization of which plants / designs should be studied first, coupling modern supporting experiments to the stringent needs of new high fidelity models / codes, and scaling of aging effects.

  2. Managing Web Data Managing Web Data

    E-Print Network [OSTI]

    Davulcu, Hasan

    Managing Web Data Dan Suciu AT&T Labs Managing Web Data Sigmod, 1999 Dan Suciu AT&T Labs 1 #12;How the Web is Today HTML documents all intended for human consumption many are generated automatically by applications Managing Web Data Sigmod, 1999 Dan Suciu AT&T Labs 2 #12;Paradigm Shift on the Web applications

  3. MATERIALS MANAGEMENT MATERIALS MANAGEMENT -INVENTORY CONTROL

    E-Print Network [OSTI]

    Oliver, Douglas L.

    MATERIALS MANAGEMENT MATERIALS MANAGEMENT - INVENTORY CONTROL NOTICE OF DESIGNATED DEPARTMENTAL OF MATERIALS MANAGEMENT ______ FURTHER INSTRUCTIONS 1. Include a copy of any relevant documents. 2. Item MATERIALS COORDINATOR IC-8 Mail, Fax or PDF the entire package to: MC 2010 Fax: 679-4240 REFERENCE # DMC

  4. Software Verification and Validation Plan Activities, 2011, Project Number: N6423, SAPHIRE Version 8

    SciTech Connect (OSTI)

    Kurt G. Vedros; Curtis L. Smith

    2011-11-01T23:59:59.000Z

    The SV&V Plan experienced changes over the past year to bring it into the operational software life cycle of SAPHIRE 8 and to maintain its sections on design features. Peer review of the SVVP with the former IV&V members identified the need for the operational use of metrics as a tool for quality maintenance and improvement. New tests were added to the SVVP to verify the operation of the new design features incorporated into SAPHIRE 8. Other additions to the SVVP were the addition of software metrics and the PDR and CDR processes. Audit support was provided for the NRC Technical Manager and Project Manager for the NRC OIG Audit performed throughout 2011. The SVVP is considered to be an up to date reference and useful roadmap of verification and validation activities going forward.

  5. Target Cost Management Strategy

    E-Print Network [OSTI]

    Okano, Hiroshi

    1996-01-01T23:59:59.000Z

    Target cost management (TCM) is an innovation of Japanese management accounting system and by common sense has been considered with great interest by practitioners. Nowadays, TCM related

  6. Stormwater Management Program (Pennsylvania)

    Broader source: Energy.gov [DOE]

    Stormwater Management program of the Department of Environmental Protection's Bureau of Conservation and Restoration administers the rules and regulations for stormwater management for Pennsylvania...

  7. Stormwater Management (Maryland)

    Broader source: Energy.gov [DOE]

    Maryland's Stormwater Management Program, administered by the Department of the Environment, aims to reduce stormwater runoff. The program requires the submission of a stormwater management plan...

  8. Contract/Project Management

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

    3 rd Quarter Overall Contract and Project Management Performance Metrics and Targets ContractProject Management Performance Metrics FY 2009 Target FY 2009 Actual Comment 1....

  9. Records Management Specialist

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will serve as a Records Management Specialist in the Richland Operations Office (RL), Assistant Manager for Mission Support (AMMS), Infrastructure, Services...

  10. Physics Department Management Review

    E-Print Network [OSTI]

    Homes, Christopher C.

    ESSH Committee and Work Planning Security Cyber Security Accident and Incident Management was distributed to the ESSH Committee, Group Leaders, Group Safety Coordinators, and Line Management #12;Areas

  11. Management of Nuclear Materials

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2009-08-17T23:59:59.000Z

    To establish requirements for the lifecycle management of DOE owned and/or managed accountable nuclear materials. Cancels DOE O 5660.1B.

  12. Input Power Measurement Techniques for Single-Phase Digitally Controlled PFC Rectifiers

    E-Print Network [OSTI]

    , and the increasing need for smart power management have lead to the need for energy submetering in many energy during lower power operation. Energy metering IC's [l1]-[3]1 could be used along with shunt and series

  13. RELAP5/MOD3 code manual: User`s guide and input requirements. Volume 2

    SciTech Connect (OSTI)

    NONE

    1995-08-01T23:59:59.000Z

    The RELAP5 code has been developed for best estimate transient simulation of light water reactor coolant systems during postulated accidents. The code models the coupled behavior of the reactor coolant system and the core for loss-of-coolant accidents, and operational transients, such as anticipated transient without scram, loss of offsite power, loss of feedwater, and loss of flow. A generic modeling approach is used that permits simulating a variety of thermal hydraulic systems. Control system and secondary system components are included to permit modeling of plant controls, turbines, condensers, and secondary feedwater systems. Volume II contains detailed instructions for code application and input data preparation.

  14. Cascade design of single input single output systems using H? and quantitative feedback theory methodologies

    E-Print Network [OSTI]

    Lal, Mayank

    2005-02-17T23:59:59.000Z

    . It is shown using QFT methodology that there aren?t any advantages gained in the low frequencies with the use of cascaded design. In effect it is concluded that if the design is properly executed a single loop controller closed from the output to the input... In the fourth part the H? methodology was used to design a two loop control structure. The idea was to compare this design to the QFT design. It was seen that H? generated redundant controllers and pre filters...

  15. Conversion of three-dimensional graphic building models into input data for building energy calculation program

    E-Print Network [OSTI]

    Hayek, Raja Fares

    2012-06-07T23:59:59.000Z

    and total floor area using the revision screens must to be emphasized. Figures 6 and 7 show the EnerCAD 92. 06 revision screens. 28 1. Proj. : OFFICE BUILDING 2. Site: ROCHESTER, NBW YORK 8 3. Rev. No. : SAMPLE CASE PAGE 1 4. Building Type: Office... and E. ter for MAIN MENU 08-30-1993 00 46 34 Fig. 6. EnerCAD 92. 06 first revision screen Proj . OFFICE BUILDING Sate. ROCHESTER, NEW YORK 4 Rev. No SAMpLE CAsE PAGE 2 The followrng d:faults were derrved f om your Input. Occ p ol' = 290 persors H W...

  16. Development of the seismic input for use in the seismic safety margins research program

    SciTech Connect (OSTI)

    Bernreuter, D.L.; Chung, D.H.

    1980-01-29T23:59:59.000Z

    This paper briefly outlines the overall systems approach being developed for the Seismic Safety Margins Research Program. The unique features of the approach being taken to reduce the uncertainty in the seismic input for this program are discussed. These unique features will include extensive use of expert opinion, earthquake rupture simulation studies and the way in which the seismic hazard is incorporated into the overall systems analysis. Some very preliminary results are also given for the Zion site which is the power plant chosen for analysis in Phase I of the program.

  17. A multiple-input operational transconductance amplifier with a wide linear range

    E-Print Network [OSTI]

    Reed, Russell Deryl

    2012-06-07T23:59:59.000Z

    region of Fig. 3. 6a 3. 7 EfFect of the bias voltage 3. 8 Connection of transconductance st. ages for multiple inputs 4. 1 An OTA block diagram 21 23 24 25 27 28 29 31 33 35 4. 2 Connect, ion of opposing cascode stages so that the current.... 4 6. 5 6. 7 6. 8 6. 9 6. 10 6. 11a. 6. 11b 6. 12 6. 13 Effect of bias voltage Influence of V?on the transfer function Common ? mode transfer function Effect of current mirror choice on offset voltage Frequency response of circuit I A...

  18. Table A15. Total Inputs of Energy for Heat, Power, and Electricity Generation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative FuelsTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History71.7 588.5 56,673.61 "Total Inputs of

  19. Validating agent based models through virtual worlds.

    SciTech Connect (OSTI)

    Lakkaraju, Kiran; Whetzel, Jonathan H.; Lee, Jina [Sandia National Laboratories, Livermore, CA; Bier, Asmeret Brooke; Cardona-Rivera, Rogelio E. [North Carolina State University, Raleigh, NC; Bernstein, Jeremy Ray Rhythm [Gaikai, Inc., Aliso Viejo, CA

    2014-01-01T23:59:59.000Z

    As the US continues its vigilance against distributed, embedded threats, understanding the political and social structure of these groups becomes paramount for predicting and dis- rupting their attacks. Agent-based models (ABMs) serve as a powerful tool to study these groups. While the popularity of social network tools (e.g., Facebook, Twitter) has provided extensive communication data, there is a lack of ne-grained behavioral data with which to inform and validate existing ABMs. Virtual worlds, in particular massively multiplayer online games (MMOG), where large numbers of people interact within a complex environ- ment for long periods of time provide an alternative source of data. These environments provide a rich social environment where players engage in a variety of activities observed between real-world groups: collaborating and/or competing with other groups, conducting battles for scarce resources, and trading in a market economy. Strategies employed by player groups surprisingly re ect those seen in present-day con icts, where players use diplomacy or espionage as their means for accomplishing their goals. In this project, we propose to address the need for ne-grained behavioral data by acquiring and analyzing game data a commercial MMOG, referred to within this report as Game X. The goals of this research were: (1) devising toolsets for analyzing virtual world data to better inform the rules that govern a social ABM and (2) exploring how virtual worlds could serve as a source of data to validate ABMs established for analogous real-world phenomena. During this research, we studied certain patterns of group behavior to compliment social modeling e orts where a signi cant lack of detailed examples of observed phenomena exists. This report outlines our work examining group behaviors that underly what we have termed the Expression-To-Action (E2A) problem: determining the changes in social contact that lead individuals/groups to engage in a particular behavior. Results from our work indicate that virtual worlds have the potential for serving as a proxy in allocating and populating behaviors that would be used within further agent-based modeling studies.

  20. Validation of Material Models for Automotive Carbon Fiber Composite...

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

    Validation of Material Models for Automotive Carbon Fiber Composite Structures (VMM) Libby Berger (General Motors), Omar Faruque (Ford) Co-Principal Investigators US Automotive...

  1. Thermal Hydraulic Modeling: Cross-Verification, Validation and...

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

    Aleks Obabko, Paul Fischer, and Tim Tautges, Argonne National Laboratory Thermal Hydraulic Modeling: Cross-Verification, Validation and Co-design PI Name: Paul F. Fischer PI...

  2. Validation in Genomics: CpG Island Methylation Revisited

    E-Print Network [OSTI]

    Segal, Mark R

    2006-01-01T23:59:59.000Z

    analysis. In: Functional Genomics: Methods and Protocols, M.Segal: Validation in Genomics: CpG Island Methylationpackage and applications to genomics. Bioinformatics and

  3. HEV, PHEV, EV Test Standard Development and Validation

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

    EV Test Standard Development and Validation 2013 DOE Hydrogen Program and Vehicle Technologies Annual Merit Review May 13-17, 2013 Michael Duoba, Henning Lohse-Busch, Kevin...

  4. Development and Validation of an Advanced Stimulation Prediction...

    Open Energy Info (EERE)

    of created fractures." State Colorado Objectives Develop and validate an advanced computer model that can be used in the planning and design of stimulation techniques to create...

  5. Best Environmental Management Practices

    E-Print Network [OSTI]

    Best Environmental Management Practices Farm Animal Production Comprehensive Nutrient Management with regulatory guidelines by addressing items such as manure management, field crop nutrients, and storm water What is a CNMP? A Comprehensive Nutrient Management Plan (CNMP) is a total planning tool that details

  6. Environmental Best Management Practices

    E-Print Network [OSTI]

    Liskiewicz, Maciej

    Environmental Best Management Practices for Virginia's Golf Courses Prepared by Virginia Golf Course Superintendents Association #12;#12;EnvironmEntal BEst managEmEnt PracticEs for virginia's golf III I am pleased to endorse the Environmental Best Management Practices for Virginia's Golf Courses

  7. Sport Management Academic Offerings

    E-Print Network [OSTI]

    Mather, Patrick T.

    production and programming of events; marketing and public relations; technological operations management including (but not limited to) digital advertising, media law, new media business, operations managementSport Management Academic Offerings M.S. In Sport Venue And Event Management GRADUATE Chad Mc

  8. Chemical Management Contacts

    Broader source: Energy.gov [DOE]

    Contacts for additional information on Chemical Management and brief description on Energy Facility Contractors Group

  9. Report of the DOE Review Committee on the baseline validation of the Superconducting Super Collider

    SciTech Connect (OSTI)

    Not Available

    1993-08-01T23:59:59.000Z

    The Secretary of Energy directed that an independent review of the current cost and schedule baseline for the SSC be conducted. The purpose of this independent review was to validate the current cost and schedule baseline and to ensure that the project status is accurate as currently reported. Through May 1993, approximately $1.5 billion of the baseline cost of $8.249 billion had been expended, with project completion forecasted on the baseline schedule as of September 1999. This report documents the findings of the SSC Baseline Validation Review Committee (the Committee). The report is organized into five parts. The first section is the Executive Summary. This introduction is followed by a discussion of the project progress/status as determined by the Committee. The next section describes the Committee`s estimate of the cost at completion for the SSC project, followed by an assessment of the adequacy of the business management systems currently being used to manage the project. The final section presents the Committee`s conclusions and recommendations. The main body of the report is followed by the subcommittee reports and appendices.

  10. Web-based feedback system: the life cycle management as continuous maintenance of apartment facility information

    E-Print Network [OSTI]

    Jeong, Jin Su

    2006-10-30T23:59:59.000Z

    to make it efficient. A database requires a database management system (DBMS), a set of computer programs for organizing the information in a database, to manage its structure and control access to the data stored in the database [9]. A DBMS supports... the structuring of the database in a standard format and provides tools for data input, verification, storage, retrieval, query, and manipulation. According to Ramakishman [26], DBMS is software, designed to assist in maintaining and utilizing large collection...

  11. http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1840&pid=1837&topicname=Dissolve_(Data_Management) Dissolve Aggregates features based on specified attributes. It removes internal boundaries.

    E-Print Network [OSTI]

    Brownstone, Rob

    http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1840&pid=1837&topicname://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1840&pid=1837&topicname=Dissolve_(Data_Management) Parameters: Input Features

  12. Using regression equations to determine the relative importance of inputs to energy simulation tools

    SciTech Connect (OSTI)

    O'Neill, P.J.; Crawley, D.B.; Schliesing, J.S.

    1991-08-01T23:59:59.000Z

    A set of statistical regression equations was developed to predict relative heating and cooling loads of external zones of commercial buildings. The equations were derived from the coil loads predicted by several thousand DOE-2 simulations. These equations formed the basis for the building envelope criteria in ASHRAE/IES Standard 90.1-1989, Energy Efficient Design of New Commercial Buildings Except Low-Rise Residential Buildings.'' Because these equations predict relative loads, they can be used to determine the relative importance of a broad range of envelope parameters across a variety of climate types. This paper presents the procedure used to develop the equations. The relative importance of all the major loads input variables are discussed for a sample office building, for a broad range of climates. A load sensitivity analysis is then performed, which permits direct comparison of key envelope parameters. The analysis results provide general guidance to DOE-2 users as to the relative importance of specific loads input variables. 6 refs., 8 figs.

  13. Multi-input regulation and logic with T7 promoters in cells and cell free systems

    SciTech Connect (OSTI)

    Iyer, Sukanya [ORNL] [ORNL; Karig, David K [ORNL] [ORNL; Norred, Sarah E [ORNL] [ORNL; Simpson, Michael L [ORNL] [ORNL; Doktycz, Mitchel John [ORNL] [ORNL

    2014-01-01T23:59:59.000Z

    Engineered gene circuits offer an opportunity to harness biological systems for biotechnological and biomedical applications. However, reliance on host E. coli promoters for the construction of circuit elements, such as logic gates, makes implementation of predictable, independently functioning circuits difficult. In contrast, T7 promoters offer a simple orthogonal expression system for use in a variety of cellular backgrounds and even in cell free systems. Here we develop a T7 promoter system that can be regulated by two different transcriptional repressors for the construction of a logic gate that functions in cells and in cell free systems. We first present LacI repressible T7lacO promoters that are regulated from a distal lac operator site for repression. We next explore the positioning of a tet operator site within the T7lacO framework to create T7 promoters that respond to tet and lac repressors and realize an IMPLIES gate. Finally, we demonstrate that these dual input sensitive promoters function in a commercially available E. coli cell-free protein expression system. Together, our results contribute to the first demonstration of multi-input regulation of T7 promoters and expand the utility of T7 promoters in cell based as well as cell-free gene circuits.

  14. Information resource management concepts for records managers

    SciTech Connect (OSTI)

    Seesing, P.R.

    1992-10-01T23:59:59.000Z

    Information Resource Management (ERM) is the label given to the various approaches used to foster greater accountability for the use of computing resources. It is a corporate philosophy that treats information as it would its other resources. There is a reorientation from simply expenditures to considering the value of the data stored on that hardware. Accountability for computing resources is expanding beyond just the data processing (DP) or management information systems (MIS) manager to include senior organization management and user management. Management`s goal for office automation is being refocused from saving money to improving productivity. A model developed by Richard Nolan (1982) illustrates the basic evolution of computer use in organizations. Computer Era: (1) Initiation (computer acquisition), (2) Contagion (intense system development), (3) Control (proliferation of management controls). Data Resource Era: (4) Integration (user service orientation), (5) Data Administration (corporate value of information), (6) Maturity (strategic approach to information technology). The first three stages mark the growth of traditional data processing and management information systems departments. The development of the IRM philosophy in an organization involves the restructuring of the DP organization and new management techniques. The three stages of the Data Resource Era represent the evolution of IRM. This paper examines each of them in greater detail.

  15. Report on a workshop concerning code validation

    SciTech Connect (OSTI)

    none,

    1996-12-01T23:59:59.000Z

    The design of wind turbine components is becoming more critical as turbines become lighter and more dynamically active. Computer codes that will reliably predict turbine dynamic response are, therefore, more necessary than before. However, predicting the dynamic response of very slender rotating structures that operate in turbulent winds is not a simple matter. Even so, codes for this purpose have been developed and tested in North America and in Europe, and it is important to disseminate information on this subject. The purpose of this workshop was to allow those involved in the wind energy industry in the US to assess the progress invalidation of the codes most commonly used for structural/aero-elastic wind turbine simulation. The theme of the workshop was, ``How do we know it`s right``? This was the question that participants were encouraged to ask themselves throughout the meeting in order to avoid the temptation of presenting information in a less-than-critical atmosphere. Other questions posed at the meeting are: What is the proof that the codes used can truthfully represent the field data? At what steps were the codes tested against known solutions, or against reliable field data? How should the designer or user validate results? What computer resources are needed? How do codes being used in Europe compare with those used in the US? How does the code used affect industry certification? What can be expected in the future?

  16. Validation of Energy Efficiency Projects: Can You Run Effective Energy Management Programs Without It?

    E-Print Network [OSTI]

    Martin, V.; Falk, M. A.

    for applying energy efficient upgrades are fan, pump and blower systems since they collectively represent the largest percentage of motor driven load. The experience gained by FLOWCARE Engineering Inc. in reviewing this specific equipment forms the basis...

  17. Cough Reflex Testing in Acute Dysphagia Management: Validity, Reliability and Clinical Application.

    E-Print Network [OSTI]

    Miles, Anna Clare

    2013-01-01T23:59:59.000Z

    ??Silent aspiration is associated with pneumonia and mortality, and is poorly identified by traditional clinical swallowing evaluation (CSE). Currently, there is no reliable test for (more)

  18. Computer code input for thermal hydraulic analysis of Multi-Function Waste Tank Facility Title II design

    SciTech Connect (OSTI)

    Cramer, E.R.

    1994-10-01T23:59:59.000Z

    The input files to the P/Thermal computer code are documented for the thermal hydraulic analysis of the Multi-Function Waste Tank Facility Title II design analysis.

  19. A new high performance AC to DC rectifier with input power factor correction and harmonic reduction capacity

    E-Print Network [OSTI]

    Martinez, Roberto

    1994-01-01T23:59:59.000Z

    Many conventional switching power supplies in data processing equipment and low power motor drive systems operate by rectifying the input ac line voltage and filtering it with large electrolytic capacitors. Because this process involves both...

  20. Adaptive optimization of a lead compensator based upon input command frequency during operations of X-Y positioning table

    E-Print Network [OSTI]

    Jordan, Eric Alan

    1997-01-01T23:59:59.000Z

    The premise for this research is a desire to improve the performance of systems that have complex command inputs. For such systems, a fixed controller may not provide the necessary means to optimize the system's performance. To remedy this problem...

  1. The CO2 Content of Consumption Across US Regions: A Multi-Regional Input-Output (MRIO) Approach

    E-Print Network [OSTI]

    Caron, J.

    We improve on existing estimates of the carbon dioxide (CO2) content of consumption across regions of the United States. Using a multi-regional input-output (MRIO) framework, we estimate the direct and indirect CO2 emissions ...

  2. Advanced Simulation Capability for Environmental Management (ASCEM) Phase II Demonstration

    SciTech Connect (OSTI)

    Freshley, M.; Hubbard, S.; Flach, G.; Freedman, V.; Agarwal, D.; Andre, B.; Bott, Y.; Chen, X.; Davis, J.; Faybishenko, B.; Gorton, I.; Murray, C.; Moulton, D.; Meyer, J.; Rockhold, M.; Shoshani, A.; Steefel, C.; Wainwright, H.; Waichler, S.

    2012-09-28T23:59:59.000Z

    In 2009, the National Academies of Science (NAS) reviewed and validated the U.S. Department of Energy Office of Environmental Management (EM) Technology Program in its publication, Advice on the Department of Energys Cleanup Technology Roadmap: Gaps and Bridges. The NAS report outlined prioritization needs for the Groundwater and Soil Remediation Roadmap, concluded that contaminant behavior in the subsurface is poorly understood, and recommended further research in this area as a high priority. To address this NAS concern, the EM Office of Site Restoration began supporting the development of the Advanced Simulation Capability for Environmental Management (ASCEM). ASCEM is a state-of-the-art scientific approach that uses an integration of toolsets for understanding and predicting contaminant fate and transport in natural and engineered systems. The ASCEM modeling toolset is modular and open source. It is divided into three thrust areas: Multi-Process High Performance Computing (HPC), Platform and Integrated Toolsets, and Site Applications. The ASCEM toolsets will facilitate integrated approaches to modeling and site characterization that enable robust and standardized assessments of performance and risk for EM cleanup and closure activities. During fiscal year 2012, the ASCEM project continued to make significant progress in capabilities development. Capability development occurred in both the Platform and Integrated Toolsets and Multi-Process HPC Simulator areas. The new Platform and Integrated Toolsets capabilities provide the user an interface and the tools necessary for end-to-end model development that includes conceptual model definition, data management for model input, model calibration and uncertainty analysis, and model output processing including visualization. The new HPC Simulator capabilities target increased functionality of process model representations, toolsets for interaction with the Platform, and model confidence testing and verification for quality assurance. The Platform and HPC capabilities are being tested and evaluated for EM applications through a suite of demonstrations being conducted by the Site Applications Thrust. In 2010, the Phase I Demonstration focused on testing initial ASCEM capabilities. The Phase II Demonstration, completed in September 2012, focused on showcasing integrated ASCEM capabilities. For Phase II, the Hanford Site Deep Vadose Zone (BC Cribs) served as an application site for an end-to-end demonstration of ASCEM capabilities on a site with relatively sparse data, with emphasis on integration and linkages between the Platform and HPC components. Other demonstrations included in this Phase II report included addressing attenuation-based remedies at the Savannah River Site F-Area, to exercise linked ASCEM components under data-dense and complex geochemical conditions, and conducting detailed simulations of a representative waste tank. This report includes descriptive examples developed by the Hanford Site Deep Vadose Zone, the SRS F-Area Attenuation-Based Remedies for the Subsurface, and the Waste Tank Performance Assessment working groups. The integrated Phase II Demonstration provides test cases to accompany distribution of the initial user release (Version 1.0) of the ASCEM software tools to a limited set of users in 2013. These test cases will be expanded with each new release, leading up to the release of a version that is qualified for regulatory applications in the 2015 time frame.?

  3. Quantification of uncertainty in reservoir simulations influenced by varying input geological parameters, Maria Reservoir, CaHu Field

    E-Print Network [OSTI]

    Schepers, Karine Chrystel

    2005-02-17T23:59:59.000Z

    QUANTIFICATION OF UNCERTAINTY IN RESERVOIR SIMULATIONS INFLUENCED BY VARYING INPUT GEOLOGICAL PARAMETERS, MARIA RESERVOIR, CAHU FIELD A Thesis by KARINE CHRYSTEL SCHEPERS Submitted to the Office of Graduate... BY VARYING INPUT GEOLOGICAL PARAMETERS, MARIA RESERVOIR, CAHU FIELD A Thesis by KARINE CHRYSTEL SCHEPERS Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree...

  4. Information resource management concepts for records managers

    SciTech Connect (OSTI)

    Seesing, P.R.

    1992-10-01T23:59:59.000Z

    Information Resource Management (ERM) is the label given to the various approaches used to foster greater accountability for the use of computing resources. It is a corporate philosophy that treats information as it would its other resources. There is a reorientation from simply expenditures to considering the value of the data stored on that hardware. Accountability for computing resources is expanding beyond just the data processing (DP) or management information systems (MIS) manager to include senior organization management and user management. Management's goal for office automation is being refocused from saving money to improving productivity. A model developed by Richard Nolan (1982) illustrates the basic evolution of computer use in organizations. Computer Era: (1) Initiation (computer acquisition), (2) Contagion (intense system development), (3) Control (proliferation of management controls). Data Resource Era: (4) Integration (user service orientation), (5) Data Administration (corporate value of information), (6) Maturity (strategic approach to information technology). The first three stages mark the growth of traditional data processing and management information systems departments. The development of the IRM philosophy in an organization involves the restructuring of the DP organization and new management techniques. The three stages of the Data Resource Era represent the evolution of IRM. This paper examines each of them in greater detail.

  5. Management and Program Analyst (Operations Manager)

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will serve as a Management and Program Analyst in the Office of Strategic Programs in the DOE-EERE.

  6. Ris-R-1298(EN) Validation of Satellite SAR Offshore

    E-Print Network [OSTI]

    Risø-R-1298(EN) Validation of Satellite SAR Offshore Wind Speed Maps to In-Situ Data, Microscale project goal is to develop a method for utilizing the satellite wind speed maps for offshore wind resources, e.g. in future planning of offshore wind farms. The report describes the validation analysis

  7. Experimental validation of finite element codes for welding deformations

    E-Print Network [OSTI]

    Boyer, Edmond

    Experimental validation of finite element codes for welding deformations H. M. Aarbogha,b, , M Institute for Energy Technology, N-2027 Kjeller, Norway. Abstract A single pass Metal Inert Gas welding which numerical codes quantifying welding stresses can be validated. It includes a mov- ing heat source

  8. Validation of the Window Model of the Modelica Buildings Library

    E-Print Network [OSTI]

    LBNL-5735E Validation of the Window Model of the Modelica Buildings Library Thierry Stephane MODEL OF THE MODELICA BUILDINGS LIBRARY Thierry Stephane Nouidui, Michael Wetter, and Wangda Zuo the validation of the window model of the free open-source Modelica Buildings library. This paper starts

  9. PDF Approach Hybrid Methodology Validation DEVELOPMENT OF A HYBRID

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    PDF Approach Hybrid Methodology Validation DEVELOPMENT OF A HYBRID EULERIAN-LAGRANGIAN METHOD CNRS / INPT / UPS PhD Defense X. PIALAT Hybrid Eulerian-Lagrangian Method (HELM) #12;PDF Approach Hybrid Methodology Validation Introduction Gas-Particle Flows Applications pollutant dispersion

  10. D&D Waste Estimate Validation

    SciTech Connect (OSTI)

    Sanford, P. C.; Templeton, J. H.; Stevens, J. L.; Dorr, K.

    2002-02-25T23:59:59.000Z

    Rocky Flats Closure Project (Site) includes several multi-year decontamination and decommissioning (D&D) projects which, over the next four years, will dismantle and demolish four major plutonium facilities, four major uranium facilities, and over 400 additional facilities of different types. The projects are currently generating large quantities of transuranic, low-level, mixed, hazardous, and sanitary wastes. A previous paper described the initial conceptual estimates and methods, and the evolution of these methods based on the actual results from the decommissioning of a ''pilot'' facility. The waste estimating method that resulted from that work was used for the waste estimates incorporated into the current Site baseline. This paper discusses subsequent developments on the topic of waste estimating that have occurred since the baseline work. After several months of operation under the current Site baseline, an effort was initiated to either validate or identify improvements to the waste basis-of-estimate. Specific estimate and estimating method elements were identified for additional analysis based on the element's potential for error and the impact of that error on Site activities. The analysis took advantage of actual, more detailed data collected both from three years additional experience in decommissioning a second plutonium facility and from experience in deactivating certain non-plutonium facilities. It compared the actual transuranic and low-level waste generation against their respective estimates based on overall distribution and for individual media (i.e. equipment type), and evaluated trends. Finally, it projected the quantity of lead-characteristic low-level mixed waste that will be generated from plutonium building decommissioning and upgraded the decommissioning waste estimates of the non-plutonium buildings.

  11. Statistical validation and an empirical model of hydrogen production enhancement found by utilizing passive flow disturbance in the steam-reformation process

    SciTech Connect (OSTI)

    Erickson, Paul A.; Liao, Chang-hsien [Department of Mechanical and Aeronautical Engineering, University of California, One Shields Avenue, Davis, CA 95616 (United States)

    2007-11-15T23:59:59.000Z

    A passive flow disturbance has been proven to enhance the conversion of fuel in a methanol-steam reformer. This study presents a statistical validation of the experiment based on a standard 2{sup k} factorial experiment design and the resulting empirical model of the enhanced hydrogen producing process. A factorial experiment design was used to statistically analyze the effects and interactions of various input factors in the experiment. Three input factors, including the number of flow disturbers, catalyst size, and reactant flow rate were investigated for their effects on the fuel conversion in the steam-reformation process. Based on the experimental results, an empirical model was developed and further evaluated with an uncertainty analysis and interior point data. (author)

  12. The Science Manager's Guide to Case Studies

    SciTech Connect (OSTI)

    Branch, Kristi M.; Peffers, Melissa S.; Ruegg, Rosalie T.; Vallario, Robert W.

    2001-09-24T23:59:59.000Z

    This guide takes the science manager through the steps of planning, implementing, validating, communicating, and using case studies. It outlines the major methods of analysis, describing their relative merits and applicability while providing relevant examples and sources of additional information. Well-designed case studies can provide a combination of rich qualitative and quantitative information, offering valuable insights into the nature, outputs, and longer-term impacts of the research. An objective, systematic, and credible approach to the evaluation of U.S. Department of Energy Office of Science programs adds value to the research process and is the subject of this guide.

  13. Roll-up of validation results to a target application.

    SciTech Connect (OSTI)

    Hills, Richard Guy

    2013-09-01T23:59:59.000Z

    Suites of experiments are preformed over a validation hierarchy to test computational simulation models for complex applications. Experiments within the hierarchy can be performed at different conditions and configurations than those for an intended application, with each experiment testing only part of the physics relevant for the application. The purpose of the present work is to develop methodology to roll-up validation results to an application, and to assess the impact the validation hierarchy design has on the roll-up results. The roll-up is accomplished through the development of a meta-model that relates validation measurements throughout a hierarchy to the desired response quantities for the target application. The meta-model is developed using the computation simulation models for the experiments and the application. The meta-model approach is applied to a series of example transport problems that represent complete and incomplete coverage of the physics of the target application by the validation experiments.

  14. Device for modular input high-speed multi-channel digitizing of electrical data

    DOE Patents [OSTI]

    VanDeusen, Alan L. (Lee's Summit, MO); Crist, Charles E. (Waxahachie, TX)

    1995-09-26T23:59:59.000Z

    A multi-channel high-speed digitizer module converts a plurality of analog signals to digital signals (digitizing) and stores the signals in a memory device. The analog input channels are digitized simultaneously at high speed with a relatively large number of on-board memory data points per channel. The module provides an automated calibration based upon a single voltage reference source. Low signal noise at such a high density and sample rate is accomplished by ensuring the A/D converters are clocked at the same point in the noise cycle each time so that synchronous noise sampling occurs. This sampling process, in conjunction with an automated calibration, yields signal noise levels well below the noise level present on the analog reference voltages.

  15. Device for modular input high-speed multi-channel digitizing of electrical data

    DOE Patents [OSTI]

    VanDeusen, A.L.; Crist, C.E.

    1995-09-26T23:59:59.000Z

    A multi-channel high-speed digitizer module converts a plurality of analog signals to digital signals (digitizing) and stores the signals in a memory device. The analog input channels are digitized simultaneously at high speed with a relatively large number of on-board memory data points per channel. The module provides an automated calibration based upon a single voltage reference source. Low signal noise at such a high density and sample rate is accomplished by ensuring the A/D converters are clocked at the same point in the noise cycle each time so that synchronous noise sampling occurs. This sampling process, in conjunction with an automated calibration, yields signal noise levels well below the noise level present on the analog reference voltages. 1 fig.

  16. Visualizations, Screen Shots, and Data Input Files from VisIT

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

    VisIt is a free interactive parallel visualization and graphical analysis tool for viewing scientific data on Unix and PC platforms. Users can quickly generate visualizations from their data, animate them through time, manipulate them, and save the resulting images for presentations. VisIt contains a rich set of visualization features so that you can view your data in a variety of ways. It can be used to visualize scalar and vector fields defined on two- and three-dimensional (2D and 3D) structured and unstructured meshes. VisIt was designed to handle very large data set sizes in the terascale range and yet can also handle small data sets in the kilobyte range. The VisIT website provides a gallery of vizualizations, another set of screen shots, and allows downloads of data files for input and source codes and executables for the VisIT software suite.

  17. Artificial neural networks for input-output dynamic modeling of nonlinear processes

    E-Print Network [OSTI]

    Sarimveis, Haralambos

    2012-06-07T23:59:59.000Z

    &at& tire behavior of n&arlinear SIS(2 and 1&IIMO pro&. esses, provi&1& d that tlrv latter operate closv vnou?h t&& dvsired operating points. In the follow'irrg &lrapters, sex&'ra) rrretlrods of non(&near modeling will be used to u&o&1&'I tl&e samv nonliu... the fnlh)&vh)r, e(tu&(t&nn: R M , V = 1 + gP, + P (1, (3) a(&cl o 11 n&1 u . . u 1?v T= (('a(v (V u st I I? tt 2 . . . n';If N is the 3I x(&1 n&atrix of parameters. ln this n&atrix u& & ls the parameter of c(u&n( ction bet&veen tth model input a...

  18. Next generation input-output data format for HEP using Google's protocol buffers

    E-Print Network [OSTI]

    Chekanov, S V

    2013-01-01T23:59:59.000Z

    We propose a data format for Monte Carlo (MC) events, or any structural data, including experimental data, in a compact binary form using variable-size integer encoding as implemented in the Google's Protocol Buffers package. This approach is implemented in the so-called ProMC library which produces smaller file sizes for MC records compared to the existing input-output libraries used in high-energy physics (HEP). Other important features are a separation of abstract data layouts from concrete programming implementations, self-description and random access. Data stored in ProMC files can be written, read and manipulated in a number of programming languages, such C++, Java and Python.

  19. ProMC: Input-output data format for HEP applications using varint encoding

    E-Print Network [OSTI]

    Chekanov, S V; Van Gemmeren, P

    2013-01-01T23:59:59.000Z

    A new data format for Monte Carlo (MC) events, or any structural data, including experimental data, is discussed. The format is designed to store data in a compact binary form using variable-size integer encoding as implemented in the Google's Protocol Buffers package. This approach is implemented in the ProMC library which produces smaller file sizes for MC records compared to the existing input-output libraries used in high-energy physics (HEP). Other important features of the proposed format are a separation of abstract data layouts from concrete programming implementations, self-description and random access. Data stored in ProMC files can be written, read and manipulated in a number of programming languages, such C++, JAVA and PYTHON.

  20. ProMC: Input-output data format for HEP applications using varint encoding

    E-Print Network [OSTI]

    S. V. Chekanov; E. May; K. Strand; P. Van Gemmeren

    2014-04-03T23:59:59.000Z

    A new data format for Monte Carlo (MC) events, or any structural data, including experimental data, is discussed. The format is designed to store data in a compact binary form using variable-size integer encoding as implemented in the Google's Protocol Buffers package. This approach is implemented in the ProMC library which produces smaller file sizes for MC records compared to the existing input-output libraries used in high-energy physics (HEP). Other important features of the proposed format are a separation of abstract data layouts from concrete programming implementations, self-description and random access. Data stored in ProMC files can be written, read and manipulated in a number of programming languages, such C++, JAVA, FORTRAN and PYTHON.