Sample records for manager input validation

  1. T-693: Symantec Endpoint Protection Manager Input Validation...

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

    user's cookies (including authentication cookies), if any, associated with the site running the Symantec Endpoint Protection Manager software, access data recently submitted by...

  2. 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...

  3. 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).

  4. 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).

  5. 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.

  6. Input Validation Errors and Defenses

    E-Print Network [OSTI]

    Sekar, R.

    = "gpg -r $send_to_list 2>&1" popen($command) · Attack: user fills in the following information-independent policies are preferable Example: SquirrelMail Command Injection Incoming Request (Untrusted input) $command="gpg popen($command) $send_to_list = $_GET[`sendto'] $command = "gpg -r $send_to_list 2>&1" Outgoing Request

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

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

    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...

  8. 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...

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

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

    9: Cisco Network Admission Control Input Validation Flaw Lets Remote Users Inject SQL Commands V-139: Cisco Network Admission Control Input Validation Flaw Lets Remote Users Inject...

  10. 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.

  11. 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...

  12. 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...

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

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

    BlackBerry Enterprise Server Input Validation Flaw in BlackBerry Web Desktop Manager Permits Cross-Site Scripting Attacks PLATFORM: BlackBerry Enterprise Server Express versions...

  14. 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.

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

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

    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...

  16. Method of validating measurement data of a process parameter from a plurality of individual sensor inputs

    DOE Patents [OSTI]

    Scarola, Kenneth (Windsor, CT); Jamison, David S. (Windsor, CT); Manazir, Richard M. (North Canton, CT); Rescorl, Robert L. (Vernon, CT); Harmon, Daryl L. (Enfield, CT)

    1998-01-01T23:59:59.000Z

    A method for generating a validated measurement of a process parameter at a point in time by using a plurality of individual sensor inputs from a scan of said sensors at said point in time. The sensor inputs from said scan are stored and a first validation pass is initiated by computing an initial average of all stored sensor inputs. Each sensor input is deviation checked by comparing each input including a preset tolerance against the initial average input. If the first deviation check is unsatisfactory, the sensor which produced the unsatisfactory input is flagged as suspect. It is then determined whether at least two of the inputs have not been flagged as suspect and are therefore considered good inputs. If two or more inputs are good, a second validation pass is initiated by computing a second average of all the good sensor inputs, and deviation checking the good inputs by comparing each good input including a present tolerance against the second average. If the second deviation check is satisfactory, the second average is displayed as the validated measurement and the suspect sensor as flagged as bad. A validation fault occurs if at least two inputs are not considered good, or if the second deviation check is not satisfactory. In the latter situation the inputs from each of all the sensors are compared against the last validated measurement and the value from the sensor input that deviates the least from the last valid measurement is displayed.

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

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

    update addresses the vulnerabilities correcting the way that Microsoft SharePoint Server validates URLs and user input. IMPACT: A remote user can cause denial of service...

  18. MiTV: Multiple-Implementation Testing of User-Input Validators for Web Applications

    E-Print Network [OSTI]

    Xie, Tao

    MiTV: Multiple-Implementation Testing of User-Input Validators for Web Applications Kunal Taneja1 Nuo Li1 Madhuri R. Marri1 Tao Xie1 Nikolai Tillmann2 1 Department of Computer Science, North Carolina,txie}@ncsu.edu, 2nikolait@microsoft.com ABSTRACT User-input validators play an essential role in guarding a web

  19. 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...

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

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

    user's cookies (including authentication cookies), if any, associated with the site running the VPN management interface, access data recently submitted by the target user via...

  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-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.

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

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014,Zaleski -BlueprintThisVulnerabilitiesVulnerability | DepartmentCross-Site

  4. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015of 2005UNSDepartmentFebruaryPhase|PotomacDepartmentRemoteVulnerabilityApple

  5. V-192: Symantec Security Information Manager Input Validation Flaws 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 DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02 TUE 08:59Capability for2:ofDepartment|Attacks |1:

  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. Sensor Data Management, Validation, Correction, and Provenance for Building Technologies

    SciTech Connect (OSTI)

    Castello, Charles C [ORNL; Sanyal, Jibonananda [ORNL; Rossiter, Jeffrey S [ORNL; Hensley, Zachary [Tennessee Technological University; New, Joshua Ryan [ORNL

    2014-01-01T23:59:59.000Z

    Oak Ridge National Laboratory (ORNL) conducts research on technologies that use a wide range of sensors to develop and characterize building energy performance. The management of high-resolution sensor data, analysis, and tracing lineage of such activities is challenging. Missing or corrupt data due to sensor failure, fouling, drifting, calibration error, or data logger failure is another issue. This paper focuses on sensor data management, validation, correction, and provenance to combat these issues, ensuring complete and accurate sensor datasets for building technologies applications and research. The design and development of two integrated software products are discussed: Sensor Data Validation and Correction (SensorDVC) and the Provenance Data Management System (ProvDMS) platform.

  10. 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.

  11. Formal Analysis and Validation of Continuous-Time Markov Chain based System Level Power Management Strategies

    E-Print Network [OSTI]

    Oxford, University of

    Formal Analysis and Validation of Continuous-Time Markov Chain based System Level Power Management that competitive analysis based power management strategies can be automatically analyzed for proving competitive bounds and for validating power management strate- gies using the SMV model checker. In this paper, we

  12. Formal Analysis and Validation of ContinuousTime Markov Chain based System Level Power Management Strategies

    E-Print Network [OSTI]

    Oxford, University of

    Formal Analysis and Validation of Continuous­Time Markov Chain based System Level Power Management that competitive analysis based power management strategies can be automatically analyzed for proving competitive bounds and for validating power management strate­ gies using the SMV model checker. In this paper, we

  13. 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.

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

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23,EnergyChicopeeTechnologyfactTuscarora Phase IIDOE O 484.1 6-30-20146 (07/03)U

  15. 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

  16. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps toValidating Computer-DesignedValidation in

  17. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps to Predict4VacancyVacancy-InducedValValidating

  18. System-Level Modeling of Energy in TLM for Early Validation of Power and Thermal Management

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    System-Level Modeling of Energy in TLM for Early Validation of Power and Thermal Management Tayeb--Modern systems-on-a-chip are equipped with power architectures, allowing to control the consumption of individual; hence the need for early system-level models of power consumption. B. High-Level Models and Simulation

  19. 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

  20. 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.

  1. 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

  2. ON CAMPUS STADIUM PROCESS. The CPD assisted in managing the public input for the proposal to build on on-campus stadium at CSU during the spring of 2012. The website for the

    E-Print Network [OSTI]

    ON CAMPUS STADIUM PROCESS. The CPD assisted in managing the public input for the proposal to build.colostate.edu/stadium/. An extended explanation of the CPD role and the plan was released in February. In February, the CPD developed are the same), surveys from the end of the meeting, mapping exercise from 4:15 meeting, mapping exercise from 7

  3. 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.

  4. 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)

  5. 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

  6. Serial Input Output

    SciTech Connect (OSTI)

    Waite, Anthony; /SLAC

    2011-09-07T23:59:59.000Z

    Serial Input/Output (SIO) is designed to be a long term storage format of a sophistication somewhere between simple ASCII files and the techniques provided by inter alia Objectivity and Root. The former tend to be low density, information lossy (floating point numbers lose precision) and inflexible. The latter require abstract descriptions of the data with all that that implies in terms of extra complexity. The basic building blocks of SIO are streams, records and blocks. Streams provide the connections between the program and files. The user can define an arbitrary list of streams as required. A given stream must be opened for either reading or writing. SIO does not support read/write streams. If a stream is closed during the execution of a program, it can be reopened in either read or write mode to the same or a different file. Records represent a coherent grouping of data. Records consist of a collection of blocks (see next paragraph). The user can define a variety of records (headers, events, error logs, etc.) and request that any of them be written to any stream. When SIO reads a file, it first decodes the record name and if that record has been defined and unpacking has been requested for it, SIO proceeds to unpack the blocks. Blocks are user provided objects which do the real work of reading/writing the data. The user is responsible for writing the code for these blocks and for identifying these blocks to SIO at run time. To write a collection of blocks, the user must first connect them to a record. The record can then be written to a stream as described above. Note that the same block can be connected to many different records. When SIO reads a record, it scans through the blocks written and calls the corresponding block object (if it has been defined) to decode it. Undefined blocks are skipped. Each of these categories (streams, records and blocks) have some characteristics in common. Every stream, record and block has a name with the condition that each stream, record or block name must be unique in its category (i.e. all streams must have different names, but a stream can have the same name as a record). Each category is an arbitrary length list which is handled by a 'manager' and there is one manager for each category.

  7. 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....

  8. Independent Verification and Validation Of SAPHIRE 8 Risk Management Project Number: N6423 U.S. Nuclear Regulatory Commission

    SciTech Connect (OSTI)

    Kent Norris

    2009-11-01T23:59:59.000Z

    This report provides an evaluation of the risk management. Risk management is intended to ensure a methodology for conducting risk management planning, identification, analysis, responses, and monitoring and control activities associated with the SAPHIRE project work, and to meet the contractual commitments prepared by the sponsor; the Nuclear Regulatory Commission.

  9. 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.

  10. 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.

  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. 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 Manager McKinley Addy, Project Manager Ray Tuvell, Manager EMERGING FUELS & TECHNOLOGY OFFICE Rosella Shapiro, Deputy Director FUELS AND TRANSPORTATION DIVISION B.B Blevins Executive Director DISCLAIMER

  13. Gen Inputs Settlement

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist.Newof EnergyFunding OpportunityF2015Gen-Inputs-Settlement Sign

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

    Office of Environmental Management (EM)

    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...

  15. 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.

  16. T-701: Citrix Access Gateway Enterprise Edition Input Validation...

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

    to be executed by the target user's browser. The code will originate from the site running the Citrix Access Gateway software and will run in the security context of that site....

  17. 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

  18. 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.

  19. Input a journal Viewing Journals

    E-Print Network [OSTI]

    Sussex, University of

    Journals Contents: Input a journal Viewing Journals Deleting a journal Entering jnl into different period Problems Input a journal 1 Login to Bluqube 2 Select 3 Enter relevant Doc type To select the number of journals you will processing & the total credit value 6 Click on 7 Enter brief description 8

  20. 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...

  1. 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

  2. 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.

  3. 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.

  4. 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

  5. IN-DRIFT MICROBIAL COMMUNITIES MODEL VALIDATION CALCULATIONS

    SciTech Connect (OSTI)

    D.M. Jolley

    2001-12-18T23:59:59.000Z

    The objective and scope of this calculation is to create the appropriate parameter input for MING 1.0 (CSCI 30018 V1.0, CRWMS M&O 1998b) that will allow the testing of the results from the MING software code with both scientific measurements of microbial populations at the site and laboratory and with natural analogs to the site. This set of calculations provides results that will be used in model validation for the ''In-Drift Microbial Communities'' model (CRWMS M&O 2000) which is part of the Engineered Barrier System Department (EBS) process modeling effort that eventually will feed future Total System Performance Assessment (TSPA) models. This calculation is being produced to replace MING model validation output that is effected by the supersession of DTN M09909SPAMINGl.003 using its replacement DTN M00106SPAIDMO 1.034 so that the calculations currently found in the ''In-Drift Microbial Communities'' AMR (CRWMS M&O 2000) will be brought up to date. This set of calculations replaces the calculations contained in sections 6.7.2, 6.7.3 and Attachment I of CRWMS M&O (2000) As all of these calculations are created explicitly for model validation, the data qualification status of all inputs can be considered corroborative in accordance with AP-3.15Q. This work activity has been evaluated in accordance with the AP-2.21 procedure, ''Quality Determinations and Planning for Scientific, Engineering, and Regulatory Compliance Activities'', and is subject to QA controls (BSC 2001). The calculation is developed in accordance with the AP-3.12 procedure, Calculations, and prepared in accordance with the ''Technical Work Plan For EBS Department Modeling FY 01 Work Activities'' (BSC 200 1) which includes controls for the management of electronic data.

  6. Virginia Tech Input* Steve Ellingson

    E-Print Network [OSTI]

    Ellingson, Steven W.

    for cable/power/heat mgmt, so not more than 24U #12;MCS Interim Data Recorder (64) How will data;MCS Interim Data Recorder (Not asked) What is the estimated power consumption for MCS-DR? 5 PCs; est) and (61) (60) What is the estimated power consumption for MCS? 3 PCs; est. 600W each 2 1GbE managed

  7. Identity and Access Management: Access Management Survey 1 Access Management Survey Questions

    E-Print Network [OSTI]

    Maroncelli, Mark

    Identity and Access Management: Access Management Survey 1 Access Management Survey Questions has developed a survey to solicit your input for Access Management. Please take a moment to complete be submitted by Friday May 14, 2010. #12;Identity and Access Management: Access Management Survey 2 Group

  8. Recommendation 177: Facilitating Early Public Input

    Broader source: Energy.gov [DOE]

    DOE should initiate consultation meetings with stake holders immediately to allow early public input into the planning for IFDP

  9. Countering Poisonous Inputs with Memetic Neuroevolution

    E-Print Network [OSTI]

    Togelius, Julian

    Countering Poisonous Inputs with Memetic Neuroevolution Julian Togelius1 , Tom Schaul1 , J-dimensional and/or ill-chosen state description. Evidently, some controller inputs are "poisonous also ex- plore which types of inputs are poisonous for two different reinforcement learning problems. 1

  10. Clauser-Horne Bell test with imperfect random inputs

    E-Print Network [OSTI]

    Xiao Yuan; Qi Zhao; Xiongfeng Ma

    2015-05-16T23:59:59.000Z

    Bell test is one of the most important tools in quantum information science. On the one hand, it enables fundamental test for the physics laws of nature, and on the other hand, it can be also applied in varieties of device independent tasks such as quantum key distribution and random number generation. In practice, loopholes existing in experimental demonstrations of Bell tests may affect the validity of the conclusions. In this work, we focus on the randomness (freewill) loophole and investigate the randomness requirement in a well-known Bell test, the Clauser-Horne test, under various conditions. With partially random inputs, we explicitly bound the Bell value for all local hidden variable models by optimizing the classical strategy. Our result thus puts input randomness requirement on the Clauser-Horne test under varieties of practical scenarios. The employed analysis technique can be generalized to other Bell's inequalities.

  11. 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

  12. 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...

  13. 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, #type, #value, #units, #help idebug, logical, 1, "", "Turn;Summary Use a data-centric model for input creation (code namelists, IPS config file, etc) Database

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

    E-Print Network [OSTI]

    Poulin, L.

    2013-01-01T23:59:59.000Z

    GEPS 21 members ? Provides probabilistic forecasts ? Can give useful outlooks for longer term weather forecasts ? Scribe matrix from GDPS ? includes UMOS post processed model data ? Variables like Temperature, humidity post processed by UMOS ? See...://collaboration.cmc.ec.gc.ca/cmc/cmoi/cmc-prob-products/ ? Link to experimental 3-day outlook of REPS quilts ? http://collaboration.cmc.ec.gc.ca/cmc/cmoi/cmc-prob-products.reps Users can also make their own products from ensemble forecast data? Sample ascii matrix of 2m temperature could be fed...

  15. 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...://collaboration.cmc.ec.gc.ca/cmc/cmoi/SolarScribe/SolarScribe/ CMC NWP datasets for Day 2 Forecasts ? Regional Deterministic Prediction System (RDPS) ? RDPS raw model data ? 10 km resolution, North America, 000-054 forecasts ? Data at: http...

  16. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM Flash2011-12Approvedof6, 1945:LauraPlains &Letter.pdfFunding

  17. 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...

  18. Total Blender Net Input of Petroleum Products

    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 onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota"YearProductionShaleInput Product: Total Input Natural

  19. 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

  20. 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...

  1. Consanguine Calculations Input File: blood.in

    E-Print Network [OSTI]

    California at Berkeley, University of

    1 of 20 Problem A+ Consanguine Calculations Input File: blood.in Every person's blood has 2 markers in a particular ABO blood type for that person. Combination ABO Blood Type AA A AB AB AO A BB B BO B OO O Likewise, every person has two alleles for the blood Rh factor, represented by the characters + and -. Someone who

  2. Asynchronous vs Synchronous Input-Queued Switches

    E-Print Network [OSTI]

    of high-performance switches. 1 INTRODUCTION A vast technical literature exists on input-queued (IQ to performance losses in comparison with synchronous cell switching, these losses are limited, and may be smaller than the losses due to the above-mentioned segmenta- tion/reassembly overheads. In real scenarios

  3. Asynchronous vs Synchronous Input-Queued Switches

    E-Print Network [OSTI]

    for the design of high-performance switches. I. INTRODUCTION A vast technical literature exists on input. Unfortunately the technical literature has largely neglected this situation, and concentrated the attention throughput, or to simpler scheduling. Even when the asynchronous operation leads to performance losses

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

    Office of Environmental Management (EM)

    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 Industry...

  5. Input Power Measurement Techniques for Single-Phase Digitally Controlled PFC Rectifiers

    E-Print Network [OSTI]

    resulting in accurate input power measurements are outlined. 1. INTRODUCTION Time-of-use marketing are required for both "time-of-use" billing and system power management purposes. When a digitally controlled. Experimental results comparing and contrasting the perfor- mance of the power measurement architectures

  6. 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).

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

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

    was reported in Splunk Web PLATFORM: Version(s) prior to 5.0.3 ABSTRACT: A reflected cross-site scripting vulnerability was identified in Splunk Web REFERENCE LINKS:...

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

    Office of Environmental Management (EM)

    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...

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

    Energy Savers [EERE]

    to be executed by the target user's browser. The code will originate from the site running the IBM Lotus iNotes software and will run in the security context of that site....

  10. U-015: CiscoWorks Common Services Home Page Input Validation...

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

    Commands. PLATFORM: CiscoWorks Common Services-based products prior to version 4.1 running on Microsoft Windows ABSTRACT: Successful exploitation of this vulnerability may...

  11. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3EDepartment ofPrivileges | Department ofDepartment

  12. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3EDepartment ofPrivileges | DepartmentDepartmentAttacks |

  13. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3EDepartment ofPrivileges |Vulnerabilities |MicrosoftApple

  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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3EDepartment ofPrivileges |VulnerabilitiesCodeCodeService on

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed off Energy.gov. Are you sureReportsofDepartmentSeries |Attacks | Department of Energy 9: IBM

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

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014,Zaleski -BlueprintThisVulnerabilities | DepartmentDepartment

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

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014,Zaleski -BlueprintThisVulnerabilitiesVulnerability |

  18. T-722: IBM WebSphere Commerce Edition Input Validation Holes 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014,Zaleski -BlueprintThisVulnerabilitiesVulnerability |Users Obtainupdate

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

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23,EnergyChicopeeTechnologyfactTuscarora Phase IIDOE O 484.1

  20. U-144:Juniper Secure Access 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23,EnergyChicopeeTechnologyfactTuscarora PhaseArbitrary CodeScripting Attacks |

  1. U-252: Barracuda Web Filter 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23,EnergyChicopeeTechnologyfactTuscaroraDepartment ofDepartmentScripting Attacks |

  2. U-255: Apache Wicket 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23,EnergyChicopeeTechnologyfactTuscaroraDepartment ofDepartmentScriptingAttacks |

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO Overview OCHCOSystems Analysis Success Stories Systems Analysis Success Stories

  4. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015of 2005UNSDepartmentFebruaryPhase|Potomac RiverWithDepartment ofGain Elevated

  5. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015of 2005UNSDepartmentFebruaryPhase|Potomac RiverWithDepartment ofGainScripting

  6. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015of 2005UNSDepartmentFebruaryPhase|PotomacDepartment of EnergySpoofAttacks |

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

    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 onYouTube YouTube Note: SinceDevelopment | Department of EnergyEnergy 94: IBMand LocalDepartment ofServiceAttacks

  8. 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 DataDepartment of Energy Your Density Isn'tOriginEducationVideoStrategic

  9. 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

  10. 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 Soft-input soft-output (SISO) detection in multiple-input multiple-output (MIMO) systems constitutes Laboratory ETH Zurich, 8092 Zurich, Switzerland Email: boelcskei@nari.ee.ethz.ch Abstract--Soft-input soft

  11. Performance Validation and Energy Analysis of HVAC Systems using Simulation

    E-Print Network [OSTI]

    Diamond, Richard

    monitored system outputs for performance validation and energy analysis. The paper presents results from1 Performance Validation and Energy Analysis of HVAC Systems using Simulation Tim Salsbury and Rick Francisco. 1 Introduction Significant potential exists with the current technology of energy management

  12. 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

  13. Technology Validation Sig Gronich

    E-Print Network [OSTI]

    and validate integrated hydrogen and fuel cell technologies in a systems context under real operating in quantity that is powered by a wind turbine. · By 2008, validate hydrogen vehicles with greater than 250. . Distributed Generation TransportationBiomass Hydro Wind Solar Coal Nuclear Natural Gas Oil With

  14. Ground motion input in seismic evaluation studies

    SciTech Connect (OSTI)

    Sewell, R.T.; Wu, S.C.

    1996-07-01T23:59:59.000Z

    This report documents research pertaining to conservatism and variability in seismic risk estimates. Specifically, it examines whether or not artificial motions produce unrealistic evaluation demands, i.e., demands significantly inconsistent with those expected from real earthquake motions. To study these issues, two types of artificial motions are considered: (a) motions with smooth response spectra, and (b) motions with realistic variations in spectral amplitude across vibration frequency. For both types of artificial motion, time histories are generated to match target spectral shapes. For comparison, empirical motions representative of those that might result from strong earthquakes in the Eastern U.S. are also considered. The study findings suggest that artificial motions resulting from typical simulation approaches (aimed at matching a given target spectrum) are generally adequate and appropriate in representing the peak-response demands that may be induced in linear structures and equipment responding to real earthquake motions. Also, given similar input Fourier energies at high-frequencies, levels of input Fourier energy at low frequencies observed for artificial motions are substantially similar to those levels noted in real earthquake motions. In addition, the study reveals specific problems resulting from the application of Western U.S. type motions for seismic evaluation of Eastern U.S. nuclear power plants.

  15. Validating Energy Measures

    E-Print Network [OSTI]

    Chari, S.; Thomas, D.

    Energy measurements play a very important role in a detailed energy analysis. The role is more important in industrial processes where wide variations of process conditions exist. Valid energy measurements make the decision making process easier...

  16. Accelerated Testing Validation

    E-Print Network [OSTI]

    Mukundan, Rangachary

    2013-01-01T23:59:59.000Z

    used in the HD6 MEA. Failure analysis of these MEAs has beenpotential hold test. The failure analysis from these stacksbe validated with the failure analysis from both the AST and

  17. 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.

  18. 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 ...

  19. Automatically identifying critical input regions and code in applications

    E-Print Network [OSTI]

    Carbin, Michael James

    Applications that process complex inputs often react in different ways to changes in different regions of the input. Small changes to forgiving regions induce correspondingly small changes in the behavior and output. Small ...

  20. 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

  1. 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

    &M AgriLife Research, part of The Texas A&M University System. SWAT is a small watershed to river basin-scale model to simulate the quality and quantity of surface and ground water and predict the environmental impact of land use, land management practices...

  2. Input Routing Determining the next hop with ip_route_input()

    E-Print Network [OSTI]

    Westall, James M.

    _route_input(struct sk_buff *skb, u32 daddr, u32 saddr, u8 tos, struct net_device *dev) 1624 { 1625 struct rtable * rth; 1626 unsigned hash; 1627 int iif = dev->ifindex; 1628 1629 tos &= IPTOS_RT_MASK; The rt_hash_code(daddr, saddr ^ (iif tos); The hash function is implemented by the inline function rt

  3. 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

  4. Independent Verification and Validation

    E-Print Network [OSTI]

    Kemner, Ken

    : CMTS ­ Compliance Monitoring and Tracking System OSMAPS ­ Open Skies Management and Planning System&V. #12;A U.S. Department of Energy laboratory managed by UChicago Argonne, LLC Argonne's team of IV Opportunity Decision and Information Sciences Division Information Sciences Group More than ever, systems

  5. Management Plan Management Plan

    E-Print Network [OSTI]

    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 communities" J. Lichatowich et al. 1998. A Conceptual Foundation for the Management of Native Salmonids

  6. Assessing Spatial and Attribute Errors of Input Data in Large National Datasets for use in Population Distribution Models

    SciTech Connect (OSTI)

    Patterson, Lauren A [ORNL; Urban, Marie L [ORNL; Myers, Aaron T [ORNL; Bhaduri, Budhendra L [ORNL; Bright, Eddie A [ORNL; Coleman, Phil R [ORNL

    2007-01-01T23:59:59.000Z

    Geospatial technologies and digital data have developed and disseminated rapidly in conjunction with increasing computing performance and internet availability. The ability to store and transmit large datasets has encouraged the development of national datasets in geospatial format. National datasets are used by numerous agencies for analysis and modeling purposes because these datasets are standardized, and are considered to be of acceptable accuracy. At Oak Ridge National Laboratory, a national population model incorporating multiple ancillary variables was developed and one of the inputs required is a school database. This paper examines inaccuracies present within two national school datasets, TeleAtlas North America (TANA) and National Center of Education Statistics (NCES). Schools are an important component of the population model, because they serve as locations containing dense clusters of vulnerable populations. It is therefore essential to validate the quality of the school input data, which was made possible by increasing national coverage of high resolution imagery. Schools were also chosen since a 'real-world' representation of K-12 schools for the Philadelphia School District was produced; thereby enabling 'ground-truthing' of the national datasets. Analyses found the national datasets not standardized and incomplete, containing 76 to 90% of existing schools. The temporal accuracy of enrollment values of updating national datasets resulted in 89% inaccuracy to match 2003 data. Spatial rectification was required for 87% of the NCES points, of which 58% of the errors were attributed to the geocoding process. Lastly, it was found that by combining the two national datasets together, the resultant dataset provided a more useful and accurate solution. Acknowledgment Prepared by Oak Ridge National Laboratory, P.O. Box 2008, Oak Ridge, Tennessee 37831-6285, managed by UT-Battelle, LLC for the U. S. Department of Energy undercontract no. DEAC05-00OR22725. Copyright This manuscript has been authored by employees of UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the U.S. Department of Energy. Accordingly, the United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.

  7. 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.

  8. 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.

  9. Lattice QCD input for axion cosmology

    E-Print Network [OSTI]

    Evan Berkowitz; Michael I. Buchoff; Enrico Rinaldi

    2015-05-27T23:59:59.000Z

    One intriguing BSM particle is the QCD axion, which could simultaneously provide a solution to the Strong CP problem and account for some, if not all, of the dark matter density in the universe. This particle is a pNGB of the conjectured Peccei-Quinn (PQ) symmetry of the Standard Model. Its mass and interactions are suppressed by a heavy symmetry breaking scale, $f_a$, whose value is roughly greater than $10^{9}$ GeV (or, conversely, the axion mass, $m_a$, is roughly less than $10^4\\ \\mu \\text{eV}$). The density of axions in the universe, which cannot exceed the relic dark matter density and is a quantity of great interest in axion experiments like ADMX, is a result of the early-universe interplay between cosmological evolution and the axion mass as a function of temperature. The latter quantity is proportional to the second derivative of the QCD free energy with respect to the CP-violating phase, $\\theta$. However, this quantity is generically non-perturbative and previous calculations have only employed instanton models at the high temperatures of interest (roughly 1 GeV). In this and future works, we aim to calculate the temperature-dependent axion mass at small $\\theta$ from first-principle lattice calculations, with controlled statistical and systematic errors. Once calculated, this temperature-dependent axion mass is input for the classical evolution equations of the axion density of the universe. Due to a variety of lattice systematic effects at the very high temperatures required, we perform a calculation of the leading small-$\\theta$ cumulant of the theta vacua on large volume lattices for SU(3) Yang-Mills with high statistics as a first proof of concept, before attempting a full QCD calculation in the future. From these pure glue results, the misalignment mechanism yields the axion mass bound $m_a \\geq (14.6\\pm0.1) \\ \\mu \\text{eV}$ when PQ-breaking occurs after inflation.

  10. 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...

  11. 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...

  12. Possible Magmatic Input to the Dixie Valley Geothermal Field...

    Open Energy Info (EERE)

    (MT) Resistivity Surveying Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Possible Magmatic Input to the Dixie Valley Geothermal Field, and...

  13. 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

  14. ,"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...

  15. 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...

  16. Validation of Dose Calculation Codes for Clearance

    SciTech Connect (OSTI)

    Menon, S.; Wirendal, B.; Bjerler, J.; Studsvik; Teunckens, L.

    2003-02-27T23:59:59.000Z

    Various international and national bodies such as the International Atomic Energy Agency, the European Commission, the US Nuclear Regulatory Commission have put forward proposals or guidance documents to regulate the ''clearance'' from regulatory control of very low level radioactive material, in order to allow its recycling as a material management practice. All these proposals are based on predicted scenarios for subsequent utilization of the released materials. The calculation models used in these scenarios tend to utilize conservative data regarding exposure times and dose uptake as well as other assumptions as a safeguard against uncertainties. None of these models has ever been validated by comparison with the actual real life practice of recycling. An international project was organized in order to validate some of the assumptions made in these calculation models, and, thereby, better assess the radiological consequences of recycling on a practical large scale.

  17. Criticality Safety Code Validation with LWBR’s 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.

  18. Interactive Computing 1 Input/Output and Complex Arithmetic

    E-Print Network [OSTI]

    Verschelde, Jan

    Interactive Computing 1 Input/Output and Complex Arithmetic interactive Python scripts complex Software (MCS 507 L-3) Interactive Computing 30 August 2013 1 / 33 #12;Interactive Computing 1 Input/Output and Complex Arithmetic interactive Python scripts complex arithmetic 2 Python Coding Style and pylint coding

  19. 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

  20. Global sensitivity analysis of computer models with functional inputs

    E-Print Network [OSTI]

    Boyer, Edmond

    -based sensitivity analysis techniques, based on the so-called Sobol's indices, when some input variables computer codes which need a preliminary metamodeling step before performing the sensitivity analysis. We). The "mean model" allows to estimate the sensi- tivity indices of each scalar input variables, while

  1. 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

  2. Coordination of Multiple Non-Holonomic Agents with Input Constraints

    E-Print Network [OSTI]

    Loizou, Savvas G.

    -aircraft systems modeled as hybrid systems. With the advent of powerful formal verification tools, there has been with aircraft-like kinematic constraints. A model of a system of input-constrained non- holonomic agents by Belta et al. in [10]. In this paper, a discrete model of a system with input- constrained non

  3. Method and apparatus for smart battery charging including a plurality of controllers each monitoring input variables

    DOE Patents [OSTI]

    Hammerstrom, Donald J.

    2013-10-15T23:59:59.000Z

    A method for managing the charging and discharging of batteries wherein at least one battery is connected to a battery charger, the battery charger is connected to a power supply. A plurality of controllers in communication with one and another are provided, each of the controllers monitoring a subset of input variables. A set of charging constraints may then generated for each controller as a function of the subset of input variables. A set of objectives for each controller may also be generated. A preferred charge rate for each controller is generated as a function of either the set of objectives, the charging constraints, or both, using an algorithm that accounts for each of the preferred charge rates for each of the controllers and/or that does not violate any of the charging constraints. A current flow between the battery and the battery charger is then provided at the actual charge rate.

  4. Model Verification and 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1 SECTION A.Model Verification and Validation Engineering

  5. 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.

  6. 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.

  7. 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.

  8. Policy 3508 Information Technology Project Management 1 OLD DOMINION UNIVERSITY

    E-Print Network [OSTI]

    for Standardization (ISO) ­ Quality Management Principals (ISO 9000:2000) ­ ISO 9001:2000 specifies and Validation, International Standards Organization (ISO) 90002000 series, and Software Engineering

  9. 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

  10. 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 ...

  11. 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

  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. Graphene induced bifurcation of energy levels at low input power

    E-Print Network [OSTI]

    Li, Rujiang; Lin, Shisheng; Liu, Xu; Chen, Hongsheng

    2015-01-01T23:59:59.000Z

    We study analytically the energy states in the waveguide system of graphene coated dielectric nanowire based on the explicit form of nonlinear surface conductivity of graphene. The energy levels of different plasmonic modes can be tuned by the input power at the order of a few tenths of mW. The self-focusing behavior and self-defocusing behavior are exhibited in the lower and upper bifurcation branches, respectively, which are separated by a saturation of input power. Moreover, due to the nonlinearity of graphene, the dispersion relations for different input powers evolve to an energy band which is in sharp contrast with the discrete energy level in the limit of zero power input.

  14. 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 ...

  15. ac input power: Topics by E-print Network

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

    architecture was ... Salazar, Nathaniel Jay Tobias 2012-01-01 8 On the power of real Turing machines over binary inputs Mathematics Websites Summary: On the power of real Turing...

  16. additional power input: Topics by E-print Network

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

    pairs of channels. Motohisa Fukuda; Ion Nechita 2012-12-07 4 On the power of real Turing machines over binary inputs Mathematics Websites Summary: On the power of real Turing...

  17. 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....

  18. Process and Intermediate Calculations User AccessInputs Outputs

    E-Print Network [OSTI]

    Process and Intermediate Calculations User AccessInputs Outputs Fire Behavior & Probability STARFire System Flow Valuation Processing Temporal Schedules Smoke · Zones · Zone impact · Emissions Fire and compare Valuation (Structured Elicit Process) 1) Value Layers: · Point (housing, cultural trees, etc

  19. 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...

  20. 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.

  1. Risk Management for Distributed Authorization Christian Skalka

    E-Print Network [OSTI]

    Wang, Xiaoyang "Sean"

    Risk Management for Distributed Authorization Christian Skalka University of Vermont X. Sean Wang assess risk, but risk in trust management is usually an informal consideration. In this paper, we de trust management systems treat all assertions as equally valid up to certificate authentication

  2. Software Verification and Validation Procedure

    SciTech Connect (OSTI)

    Olund, Thomas S.

    2008-09-15T23:59:59.000Z

    This Software Verification and Validation procedure provides the action steps for the Tank Waste Information Network System (TWINS) testing process. The primary objective of the testing process is to provide assurance that the software functions as intended, and meets the requirements specified by the client. Verification and validation establish the primary basis for TWINS software product acceptance.

  3. 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.

  4. 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.

  5. Nonlinear quantum input-output analysis using Volterra series

    E-Print Network [OSTI]

    Jing Zhang; Yu-xi Liu; Re-Bing Wu; Kurt Jacobs; Sahin Kaya Ozdemir; Lan Yang; Tzyh-Jong Tarn; Franco Nori

    2014-08-04T23:59:59.000Z

    Quantum input-output theory plays a very important role for analyzing the dynamics of quantum systems, especially large-scale quantum networks. As an extension of the input-output formalism of Gardiner and Collet, we develop a new approach based on the quantum version of the Volterra series which can be used to analyze nonlinear quantum input-output dynamics. By this approach, we can ignore the internal dynamics of the quantum input-output system and represent the system dynamics by a series of kernel functions. This approach has the great advantage of modelling weak-nonlinear quantum networks. In our approach, the number of parameters, represented by the kernel functions, used to describe the input-output response of a weak-nonlinear quantum network, increases linearly with the scale of the quantum network, not exponentially as usual. Additionally, our approach can be used to formulate the quantum network with both nonlinear and nonconservative components, e.g., quantum amplifiers, which cannot be modelled by the existing methods, such as the Hudson-Parthasarathy model and the quantum transfer function model. We apply our general method to several examples, including Kerr cavities, optomechanical transducers, and a particular coherent feedback system with a nonlinear component and a quantum amplifier in the feedback loop. This approach provides a powerful way to the modelling and control of nonlinear quantum networks.

  6. 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.

  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. Total Refinery Net Input of Crude Oil and Petroleum Products

    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 onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota"YearProductionShaleInput Product:Input Product: Total

  12. 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

  13. Numerical solution of transient eddy current problems with input current intensities as boundary data

    E-Print Network [OSTI]

    RodrĂ­guez, Rodolfo

    Numerical solution of transient eddy current problems with input current intensities as boundary to solve transient eddy current problems with input current intensities as data, formulated in terms: Eddy current problems, time-dependent electromagnetic problems, input current intensities, finite

  14. PREDICTING THE TIME RESPONSE OF A BUILDING UNDER HEAT INPUT CONDITIONS FOR ACTIVE SOLAR HEATING SYSTEMS

    E-Print Network [OSTI]

    Warren, Mashuri L.

    2013-01-01T23:59:59.000Z

    OF A BUILDING UNDER HEAT INPUT CONDITIONS FOR ACTIVE SOLAROF A BUILDING UNDER HEAT INPUT CONDITIONS FOR ACTIVE SOLARbuilding to changes in heat input, and to predict room and

  15. Optimal linear control systems with input derivative constraints

    E-Print Network [OSTI]

    Moore, John Barratt

    . Optimal linear control systems with input derivative constraints J. B. Moore, Ph. D., and Prof. B-loss-function minimisation problem is linear. The "paper applies the results of this optimal control theory to a class of performance desired. For linear, finite-dimensional, completely controllable systems, Kalmanl has shown

  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]

    Schön, 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. 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

  20. 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

  1. 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

  2. Rethinking Preservation Validation with the Preserved Object and Repository Risks Ontology (PORRO)

    E-Print Network [OSTI]

    Lalmas, Mounia

    for knowledge manage- ment approaches exhibited by the preservation community in other applications. 2. PORRO information facets to support fully warranted preservation management decisions and conclusions. It makesRethinking Preservation Validation with the Preserved Object and Repository Risks Ontology (PORRO

  3. 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...

  4. 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.

  5. Validation of Innovative Exploration Technologies for Newberry...

    Open Energy Info (EERE)

    Validation of Innovative Exploration Technologies for Newberry Volcano Geothermal Project Jump to: navigation, search Last modified on July 22, 2011. Project Title Validation of...

  6. 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...

  7. 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

  8. 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 ...

  9. 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....

  10. 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

    The present paper aims at describing the methodology and presents some final results of a work developed in the field of building energy benchmarking applied to the buildings of the Polytechnic Institute of Leiria, based on a thorough energy...

  11. 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...

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

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,OfficeEnd of Year 2010Salt |Exelon GenerationExtraction Utility792 206FISCAL YEAR

  13. 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 DataDepartment of Energy Your Density Isn't YourTransport(Fact Sheet),Energy Petroleum TechnologyEnergyImaging Ahead ofinEnergy

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. Regression Given input data (features), predict value of a

    E-Print Network [OSTI]

    Giger, Christine

    ^ = (XX> ) 1 Xy etc. #12;! · Many relations are not linear · The complete graph Non-linear regression #12;! · Need to fit non-linear functions · example: polynomials Non-linear regression y = 6 10000 x5 82 10000 x) the dimension of the inputs · After applying z(x), we fit a plane in 3D-space Non-linear regression y = 0 + 1x

  19. Regression Given input data (features), predict value of a

    E-Print Network [OSTI]

    Giger, Christine

    · The complete graph Non-linear regression #12;· Need to fit non-linear functions · example: polynomials Non-linear of the inputs · After applying z(x), we fit a plane in 3D-space Non-linear regression y = 0 + 1x + 2x2 z(x) = 1 x x2 #12;x y x2 regression from x to y, non-linear lifting from x to z=[x x2] regression from [x x2

  20. 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.

  1. 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]).

  2. Bubbles as tracers of heat input to cooling flows

    E-Print Network [OSTI]

    J. Binney; F. Alouani Bibi; H. Omma

    2007-01-31T23:59:59.000Z

    We examine the distribution of injected energy in three-dimensional, adaptive-grid simulations of the heating of cooling flows. We show that less than 10 percent of the injected energy goes into bubbles. Consequently, the energy input from the nucleus is underestimated by a factor of order 6 when it is taken to be given by PVgamma/(gamma-1), where P and V are the pressure and volume of the bubble, and gamma the ratio of principal specific heats.

  3. 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.

  4. 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.

  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. Empirical Validation of Energy-Neutral Operation on Wearable Devices by MISO Beamforming of IEEE 802.11ac

    E-Print Network [OSTI]

    Shinozuka, Masanobu

    Empirical Validation of Energy-Neutral Operation on Wearable Devices by MISO Beamforming of IEEE.11ac's multiple input, single output (MISO) structure to focus the transmit power to im- prove environments, and they can act as a reliable source by emit- ting RF power in a controlled manner. Although RF

  7. Evaluation of severe accident risks: Quantification of major input parameters: MAACS (MELCOR Accident Consequence Code System) input

    SciTech Connect (OSTI)

    Sprung, J.L.; Jow, H-N (Sandia National Labs., Albuquerque, NM (USA)) [Sandia National Labs., Albuquerque, NM (USA); Rollstin, J.A. (GRAM, Inc., Albuquerque, NM (USA)) [GRAM, Inc., Albuquerque, NM (USA); Helton, J.C. (Arizona State Univ., Tempe, AZ (USA)) [Arizona State Univ., Tempe, AZ (USA)

    1990-12-01T23:59:59.000Z

    Estimation of offsite accident consequences is the customary final step in a probabilistic assessment of the risks of severe nuclear reactor accidents. Recently, the Nuclear Regulatory Commission reassessed the risks of severe accidents at five US power reactors (NUREG-1150). Offsite accident consequences for NUREG-1150 source terms were estimated using the MELCOR Accident Consequence Code System (MACCS). Before these calculations were performed, most MACCS input parameters were reviewed, and for each parameter reviewed, a best-estimate value was recommended. This report presents the results of these reviews. Specifically, recommended values and the basis for their selection are presented for MACCS atmospheric and biospheric transport, emergency response, food pathway, and economic input parameters. Dose conversion factors and health effect parameters are not reviewed in this report. 134 refs., 15 figs., 110 tabs.

  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. PV Integration by Building Energy Management System

    E-Print Network [OSTI]

    Boyer, Edmond

    stands for any variable that could be PV, grid power, or load power if calculation is valid for allPV Integration by Building Energy Management System Rim.Missaouią, Ghaith.Warkozeką, Seddik. BachaLab.grenoble-inp.fr Abstract- This paper focuses on Energy Management System (EMS) applied to the residential sector. The EMS

  10. 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

  11. 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.

  12. Incrementally Deployable Source Address Validity

    E-Print Network [OSTI]

    Li, Jun

    ID-SAVE: Incrementally Deployable Source Address Validity Enforcement Toby Ehrenkranz ://netsec.cs.uoregon.edu #12;Ehrenkranz WiP ID-SAVE What's The Problem? While routers know which direction a packet should are unreliable ID-SAVE attacks this root cause! 1 #12;Ehrenkranz WiP ID-SAVE ID-SAVE Basics Create and maintain

  13. 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.

  14. 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]).

  15. 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)

  16. Analyzing the impacts of sales tax on agricultural inputs 

    E-Print Network [OSTI]

    Lamar, Christina Helweg

    1992-01-01T23:59:59.000Z

    the needed revenue. Of the options analyzed, the imposition of a sales tax on previously exempted agricultural inputs was introduced. The purposes of this study were to estimate the impact of the loss of the saks tax exemption relative to a state income... budget shortfall in the 1992-93 biennium for the first time in its history. This situation caused legislators to consider possil&le options to raise the needed revenue. Of the options analyzed, the imposition of a sales tax on previously exempted...

  17. Refinery & Blenders Net Input of Crude Oil

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21 andNov-14Input

  18. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at CommercialDecadeReservesYear21Company LevelInput Supplemental

  19. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at CommercialDecadeReservesYear21CompanySFoot) Year JanYearInput

  20. Florida 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688Electricity UseFoot) Year Jan Feb Mar AprYear JanInput

  1. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLess than 200Decade Year-0Year Jan Feb MarInput

  2. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLessApril 2015Year JanFoot) YearYearInput

  3. New Hampshire 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough,Cubic Foot) DecadeYear JanInput

  4. New York 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office(Billion CubicProductionFoot)Input Supplemental

  5. North Carolina 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office(BillionYear Jan Feb Mar Apr May1.878Input Supplemental

  6. North Dakota 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office(BillionYear Jan Feb Mar AprYearof OthersYearInput

  7. Rhode Island 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source:Additions to Capacity ForYear Jan Feb Mar Apr May Jun JulInput

  8. Wisconsin 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear JanYearFuel5,266 6,090 7,16354,828Feet) DecadeDecadeInput

  9. Arkansas 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at CommercialDecade Year-0 Year-1Year% ofInput Supplemental Fuels

  10. Table 3. U.S. Inputs to biodiesel production

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total Delivered Residentialtight oilU.S. Inputs to

  11. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYearUndergroundCubic Feet) Year Jan Feb MarInput

  12. Minnesota 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2Imports (NoYearInput

  13. South 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan FebDecadeDecade Year-0 Year-1 Year-2 Year-3DecadeInput

  14. South 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan FebDecadeDecade Year-0TotalH BV CYearInput Supplemental

  15. Louisiana 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office of Coal,Cubic Feet)FuelDecade Year-0Input Supplemental Fuels (Million

  16. Maryland 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office of Coal,Cubic Feet)FuelDecadePublication10.9919,923CubicFeet)Input

  17. 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

    Abstract—Model 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.

  18. 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,...

  19. Input-output multiplier distributions from probabilistic production paths

    SciTech Connect (OSTI)

    Konecny, R.T.

    1987-01-01T23:59:59.000Z

    In the standard Leontief input-output model, a single dominant technology is assumed in the production of a particular commodity. However, in the real world, quite similar commodities are produced by firms with vastly different technologies. In addressing this limitation, the Probabilistic Production Path model (PPP) is used to investigate both the method of production and identity of the producer. An important feature of the PPP model is the consideration of the effects that heterogeneous technologies and dissimilar trade patterns have on the properties of the distribution of input-output multipliers. The derivation of the distribution of output multipliers is generalized for discrete probabilities based on market shares. Due to the complexity of the generalized solution, a simulation model is used to approximate the multiplier distribution. Results of the model show that the distributional properties of the multipliers are unpredictable, with the majority of the distributions being multimodal. Typically, the mean of the multipliers lies in a trough between two modes. Multimodal multiplier distributions were found to have a tighter symmetric interval than the corresponding standard normal confidence interval. Therefore, the use of the normal confidence interval appears to be sufficient, though overstated, for the construction of confidence intervals in the PPP model.

  20. RF Input Power Couplers for High Current SRF Applications

    SciTech Connect (OSTI)

    Khan, V. F. [Helmholtz Zentrum Berlin, Germany; Anders, W. [Helmholtz Zentrum Berlin, Germany; Burrill, Andrew [Helmholtz Zentrum Berlin, Germany; Knobloch, Jens [Helmholtz Zentrum Berlin, Germany; Kugeler, Oliver [Helmholtz Zentrum Berlin, Germany; Neumann, Axel [Helmholtz Zentrum Berlin, Germany; Wang, Haipeng [JLAB

    2014-12-01T23:59:59.000Z

    High current SRF technology is being explored in present day accelerator science. The bERLinPro project is presently being built at HZB to address the challenges involved in high current SRF machines with the goal of generating and accelerating a 100 mA electron beam to 50 MeV in continuous wave (cw) mode at 1.3 GHz. One of the main challenges in this project is that of handling the high input RF power required for the photo-injector as well as booster cavities where there is no energy recovery process. A high power co-axial input power coupler is being developed to be used for the photo-injector and booster cavities at the nominal beam current. The coupler is based on the KEK–cERL design and has been modified to minimise the penetration of the coupler tip in the beam pipe without compromising on beam-power coupling (Qext ~105). Herein we report on the RF design of the high power (115 kW per coupler, dual couplers per cavity) bERLinPro (BP) coupler along with initial results on thermal calculations. We summarise the RF conditioning of the TTF-III couplers (modified for cw operation) performed in the past at BESSY/HZB. A similar conditioning is envisaged in the near future for the low current SRF photo-injector and the bERLinPro main linac cryomodule.

  1. Hospitality Management Hospitality Management

    E-Print Network [OSTI]

    McConnell, Terry

    of the Department of Hospitality Management and to the recorder in the College of Human Ecology. Required HPM 114 Food Safety and Quality Assurance 2 AND HPM 115 Food Science I 3 AND HPM 216 Restaurant and Food Service Operations 4 OR NSD 225 Nutrition in Health 3 12 credits needed: HPM 300 Selected Topics: Advanced

  2. Some guidance on preparing validation plans for the DART Full System Models.

    SciTech Connect (OSTI)

    Gray, Genetha Anne; Hough, Patricia Diane; Hills, Richard Guy (Sandia National Laboratories, Albuquerque, NM)

    2009-03-01T23:59:59.000Z

    Planning is an important part of computational model verification and validation (V&V) and the requisite planning document is vital for effectively executing the plan. The document provides a means of communicating intent to the typically large group of people, from program management to analysts to test engineers, who must work together to complete the validation activities. This report provides guidelines for writing a validation plan. It describes the components of such a plan and includes important references and resources. While the initial target audience is the DART Full System Model teams in the nuclear weapons program, the guidelines are generally applicable to other modeling efforts. Our goal in writing this document is to provide a framework for consistency in validation plans across weapon systems, different types of models, and different scenarios. Specific details contained in any given validation plan will vary according to application requirements and available resources.

  3. Primary plant performance evaluation and plant signals validation

    SciTech Connect (OSTI)

    Anikanov, S. S. [Westinghouse LLC, 4350 Northern Pike, Monroeville, PA 15146 (United States); Stolyetniy, I. V.; Semenovski, Y. P. [Westron, 1, Academic Proskura str., Kharkov (Ukraine)

    2006-07-01T23:59:59.000Z

    This paper discusses results of the implementation of NPP signal validation and data reconciliation algorithms applied to VVER-1000 reactor as part of the Core Monitoring System (CMS) project at South Ukrainian NPP. The proposed method is compared with the G2TM tool (Gensym) application of neural network algorithms to the same plant data. The proposed algorithms yield practically identical results for situations with a significant amount of erroneous data, even though it runs in on-line mode as oppose to the off-line mode of the G2TM tool. The method described in this paper includes preliminary signal processing, data fusion, and data reconciliation algorithms. All major primary and secondary sides measurements, used for plant thermal power evaluation based on different methods, were undergone the proposed processing algorithm. Some plant life data is presented to illustrate quality of input signals used to obtain calculation results. (authors)

  4. 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.

  5. MMV: Metamodeling Based Microprocessor Validation Environment

    E-Print Network [OSTI]

    Minnesota, University of

    MMV: Metamodeling Based Microprocessor Validation Environment Ajit Dingankar, Deepak A. Mathaikutty- tionality, recent generations of microprocessors face difficult validation challenges. The systematic to production RTL, which is likely to remain the dominant design methodology of complex microprocessors

  6. Soil-related Input Parameters for the Biosphere Model

    SciTech Connect (OSTI)

    A. J. Smith

    2003-07-02T23:59:59.000Z

    This analysis is one of the technical reports containing documentation of 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. The biosphere model is one of a series of process models supporting the Total System Performance Assessment (TSPA) for the Yucca Mountain repository. A graphical representation of the documentation hierarchy for the ERMYN biosphere model 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 2003 [163602]). It should be noted that some documents identified in Figure 1-1 may be under development at the time this report is issued and therefore not available. 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 Biosphere Model Report'' (BSC 2003 [160699]) describes in detail the conceptual model as well as the mathematical model and its input parameters. The purpose of this analysis was to develop the biosphere model parameters needed to evaluate doses from pathways 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 and ash deposition and, as a direct consequence, radionuclide concentration in resuspended particulate matter in the atmosphere. The analysis was performed in accordance with the technical work plan for the biosphere modeling and expert support (TWP) (BSC 2003 [163602]). This analysis revises the previous one titled ''Evaluate Soil/Radionuclide Removal by Erosion and Leaching'' (CRWMS M&O 2001 [152517]). In REV 00 of this report, the data generated were fixed (i.e., taking no account of uncertainty and variability) values. This revision incorporates 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.

  7. 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

  8. 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.

  9. k-Validity vs Validity in Q: A formula of Q that is k-valid for all k, but not valid Branden Fitelson

    E-Print Network [OSTI]

    Fitelson, Branden

    k-Validity vs Validity in Q: A formula of Q that is k-valid for all k, but not valid Branden Fitelson 03/13/07 Consider the following three formulas of Q [where, as always, p q (p q), and p p]: p x A false on any k-element interpretation. And, since A is a closed formula, it must either be true or false

  10. Phase Noise in MIMO Systems: Bayesian Cramer-Rao Bounds and Soft-Input Estimation

    E-Print Network [OSTI]

    Nasir, Ali A; Mehrpouyan, Hani; Schober, Robert; Hua, Yingbo

    2013-01-01T23:59:59.000Z

    for a 4 4 MIMO system, the proposed soft-input EKF-EKSin MIMO Systems: Bayesian Cramér–Rao Bounds and Soft-Inputof a MIMO system employing the proposed soft-input EKF-EKS

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université 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. Calibration of a Distributed Flood Forecasting Model with Input Uncertainty Using a Bayesian Framework

    E-Print Network [OSTI]

    Hubbard, Susan

    Calibration of a Distributed Flood Forecasting Model with Input Uncertainty Using a Bayesian, Berkeley, CA, United States. In the process of calibrating distributed hydrological models, accounting in calibrating GBHM parameters and in estimating their associated uncertainty. The calibration ignoring input

  13. 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...

  14. BETO Seeks Stakeholder Input on the Use of Advanced Biofuel Blends...

    Energy Savers [EERE]

    BETO Seeks Stakeholder Input on the Use of Advanced Biofuel Blends in Small Engines BETO Seeks Stakeholder Input on the Use of Advanced Biofuel Blends in Small Engines June 22,...

  15. The design of efficient input circuits for class C amplifiers

    E-Print Network [OSTI]

    Fristoe, Harold T.

    1953-01-01T23:59:59.000Z

    the design of efficient input circuits for c u s s c amplifiers t heddsigngeof cpi utramh lX jr?cla? t??io?s? nd go dg??s nf? ?ofgsfg ??e usn? o? ??s?gie?n? ?f?efssief? hs?nig ?sfg theds igno lu? h?c??? fc ?jj?????l ????l ??r???lc jar ??cc...????????cXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX ?? ?X ?a??m?c?a?cXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX ?? t??sf?e? ? ? c???ni? o? g?s hsde?f ?io?s??is ? ? ? ? ? ? ? ? ? ? ?? m?cl aj j???r?c je??is ?n?s ?X l?s ?ofdgnfg ??iisfg ?ofdgi??geof ?oi hsgsi?efef? ??ndd ? a...

  16. 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).

  17. Choosing a Kernel for Cross-Validation

    E-Print Network [OSTI]

    Savchuk, Olga

    2010-01-14T23:59:59.000Z

    methods of bandwidth selection termed: Indirect cross-validation and Robust one-sided cross- validation. The kernels used in the Indirect cross-validation method yield an improvement in the relative bandwidth rate to n^1=4, which is substantially better...

  18. 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

  19. Optimal Power Management in Wireless Control Systems

    E-Print Network [OSTI]

    Plotkin, Joshua B.

    Optimal Power Management in Wireless Control Systems Konstantinos Gatsis, Student Member, IEEE to the controller over a wireless fading channel. The power allocated to these transmissions determines state. The goal is to design plant input and transmit power policies that minimize an infinite horizon

  20. Soft-Input Soft-Output King Decoder for Coded MIMO Wireless Communications

    E-Print Network [OSTI]

    Soft-Input Soft-Output King Decoder for Coded MIMO Wireless Communications Giuseppe PAPA, Domenico,{domenico.ciuonzo,gianmarco.romano,pierluigi.salvorossi}@unina2.it Abstract--This paper presents a Soft-Input Soft-Output (SISO) version of the King Decoder (KD for Multiple-Input Multiple-Output (MIMO) communication systems. More specifically, four versions of the KD

  1. 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

  2. Making Gestural Input from Arm-Worn Inertial Sensors More Practical

    E-Print Network [OSTI]

    Rajamani, Sriram K.

    .g., in a wristwatch) can sense arm gestures, enabling natural input in untethered scenarios. Two core components input with a wide variety of applications is arm movement detected by inertial sensors embedded transformation of the input space. For example, two users of different heights per- forming the same gesture

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. Range Con: a management evaluation system for assessing sucess of selected range improvement practices

    E-Print Network [OSTI]

    Ekblad, Steven Linn

    1989-01-01T23:59:59.000Z

    strategic resource management plans. Individual management skills and managerial environment have not been considered when predicting biological and economic response of range management practices. Risk for individual managers adopting unsuited... APPENDIX Prototype Range Management Skills Survey. Range Management Skills Survey Survey Data Tables. Validation Figures. VITA 64 65 74 92 104 106 1X LIST OP FIGURES FIGURE Page 1. The Range Con expert system in relation to the Resource...

  8. 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

    Abstract—Model 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.

  9. 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

  10. Preservation of Digital Data with Self-Validating, Self-Instantiating Knowledge-Based Archives

    E-Print Network [OSTI]

    Ludäscher, Bertram

    Preservation of Digital Data with Self-Validating, Self-Instantiating Knowledge-Based Archives and collection management. Our ap- proach is knowledge-based in the sense that the ingestion process can employ,marciano,mooreg@sdsc.edu Abstract Digital archives are dedicated to the long-term preservation of electronic information and have

  11. 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...

  12. Validation of two tropical marine bivalves as bioindicators of mining1 contamination in the New Caledonia lagoon: Field transplantation experiments2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    nickel exploitation. Among other, local mining activities result in large53 anthropogenic inputs1 Validation of two tropical marine bivalves as bioindicators of mining1 contamination in the New, DCBS,25 Departamento de Hidrobiología, C.P. 09340, Iztapalapa, Mexico D.F., Mexico26 27 hal-00566717

  13. Regional Carbon Sequestration Partnerships Validation Phase ...

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

    Regional Carbon Sequestration Partnerships Validation Phase Core Storage R&D Storage Infrastructure Strategic Program Support NATCARBAtlas Program Plan Project Portfolio...

  14. 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

  15. 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...

  16. Geothermal: Sponsored by OSTI -- Validation of Multicomponent...

    Office of Scientific and Technical Information (OSTI)

    Validation of Multicomponent Equilibrium Geothermometry at Four Geothermal Power Plants Geothermal Technologies Legacy Collection HelpFAQ | Site Map | Contact Us HomeBasic Search...

  17. Verification and Validation of Facilities Procedures Assessment...

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

    Verification and Validation of Facilities Procedures Assessment Plan NNSANevada Site Office Independent Oversight Division Performance Objective: The purpose of this assessment is...

  18. 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.

  19. 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...

  20. 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

  1. Data error detection and device controller failure detection in an input/output system

    SciTech Connect (OSTI)

    Katzman, J.A.; Bartlett, J.F.; Bixler, R.M.; Davidow, W.H.; Despotakis, J.A.; Graziano, P.J.; Green, M.D.; Greig, D.A.; Hayashi, S.J.; Mackie, D.R.

    1987-06-09T23:59:59.000Z

    This patent describes an input/output system for a multiprocessor system of the kind in which separate processor modules are interconnected for parallel processing, each of the processor modules having a central processing unit and a memory, at least some of the processor modules having an input/output channel, the input/output system comprising, at least one device controller for controlling the transfer of data between multiple different ones of the processor modules and a peripheral device.

  2. 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 Laboratory’s 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

  3. 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.

  4. PREDICTING THE TIME RESPONSE OF A BUILDING UNDER HEAT INPUT CONDITIONS FOR ACTIVE SOLAR HEATING SYSTEMS

    E-Print Network [OSTI]

    Warren, Mashuri L.

    2013-01-01T23:59:59.000Z

    Solar Energy Systems for Heating and Cooling. May, 1978. (Washington:Hemisphere heating, Publishing Corp. , 1978),INPUT CONDITIONS FOR ACTIVE SOLAR HEATING SYSTEMS Mashuri L.

  5. 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...

  6. [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`.

  7. 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.

  8. Maui Electrical System Simulation Model Validation

    E-Print Network [OSTI]

    Maui Electrical System Simulation Model Validation Prepared for the U.S. Department of Energy Office of Electricity Delivery and Energy Reliability Under Award No. DE-FC-06NT42847 Task 9 Deliverable ­ Baseline Model Validation By GE Global Research Niskayuna, New York And University of Hawaii Hawaii Natural

  9. 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

  10. 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

  11. Management Analyst

    Broader source: Energy.gov [DOE]

    The Wind and Water Power Technologies Office (WWPTO) manages efforts to improve performance, lower costs, and accelerate deployment of wind and water power technologies, which can play a...

  12. 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...

  13. 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.

  14. Estimating uncertainty of inference for validation

    SciTech Connect (OSTI)

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

    2010-09-30T23:59:59.000Z

    We present a validation process based upon the concept that validation is an inference-making activity. This has always been true, but the association has not been as important before as it is now. Previously, theory had been confirmed by more data, and predictions were possible based on data. The process today is to infer from theory to code and from code to prediction, making the role of prediction somewhat automatic, and a machine function. Validation is defined as determining the degree to which a model and code is an accurate representation of experimental test data. Imbedded in validation is the intention to use the computer code to predict. To predict is to accept the conclusion that an observable final state will manifest; therefore, prediction is an inference whose goodness relies on the validity of the code. Quantifying the uncertainty of a prediction amounts to quantifying the uncertainty of validation, and this involves the characterization of uncertainties inherent in theory/models/codes and the corresponding data. An introduction to inference making and its associated uncertainty is provided as a foundation for the validation problem. A mathematical construction for estimating the uncertainty in the validation inference is then presented, including a possibility distribution constructed to represent the inference uncertainty for validation under uncertainty. The estimation of inference uncertainty for validation is illustrated using data and calculations from Inertial Confinement Fusion (ICF). The ICF measurements of neutron yield and ion temperature were obtained for direct-drive inertial fusion capsules at the Omega laser facility. The glass capsules, containing the fusion gas, were systematically selected with the intent of establishing a reproducible baseline of high-yield 10{sup 13}-10{sup 14} neutron output. The deuterium-tritium ratio in these experiments was varied to study its influence upon yield. This paper on validation inference is the first in a series of inference uncertainty estimations. While the methods demonstrated are primarily statistical, these do not preclude the use of nonprobabilistic methods for uncertainty characterization. The methods presented permit accurate determinations for validation and eventual prediction. It is a goal that these methods establish a standard against which best practice may evolve for determining degree of validation.

  15. Enterprise Risk Management Program

    E-Print Network [OSTI]

    Hayden, Nancy J.

    Enterprise Risk Management Program DRAFT Introduction to Enterprise Risk Management at UVM 1 #12;Enterprise Risk Management Program DRAFT What is Enterprise Risk Management? Enterprise risk management governance, and accountability · Facilitates effective management of the uncertainty and associated risks

  16. FLEX AND PINCH: A CASE STUDY OF WHOLE HAND INPUT DESIGN FOR VIRTUAL ENVIRONMENT INTERACTION

    E-Print Network [OSTI]

    Pattanaik, Sumanta N.

    FLEX AND PINCH: A CASE STUDY OF WHOLE HAND INPUT DESIGN FOR VIRTUAL ENVIRONMENT INTERACTION JOSEPH J. LAVIOLA JR. and ROBERT C. ZELEZNIK Brown University Site of the NSF Science and Technology Center. In this paper, we describe our Pinch Glove like input device which is used as a tool to augment bend

  17. 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

  18. 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

  19. 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

  20. 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

  1. Design of penalty functions for optimal control of linear dynamical systems under state and input constraints

    E-Print Network [OSTI]

    Design of penalty functions for optimal control of linear dynamical systems under state and input of solving a constrained optimal control for a general single-input single output linear time varying system dimensional (functional optimization) case. The main novelty is that both the bounds on the control variable

  2. Asymptotic Controllability and Input-to-State Stabilization: The Effect of Actuator Errors

    E-Print Network [OSTI]

    Sontag, Eduardo

    a new feedback design that makes globally asymptotically controllable systems input-to-state stable of input-to-state stable (ISS) systems forms the basis for much modern nonlinear feedback design-to-state stabi- lizability of nonlinear finite-dimensional continuous-time control systems. We focus on some

  3. Kalman filtering with unknown inputs via optimal state estimation of singular systems

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Kalman filtering with unknown inputs via optimal state estimation of singular systems M. DAROUACH de Lorraine, 54400 COSNES ET ROMAIN, FRANCE A new method for designing a Kalman filter for linear the Kalman filter, it is generally assumed that all system parameters, noise covariances, and inputs

  4. INPUT VARIABLE SELECTION USING INDEPENDENT COMPONENT ANALYSIS AND HIGHER ORDER STATISTICS

    E-Print Network [OSTI]

    Vialatte, François

    that the method is capable of giving reliable performance with dependent inputs to non- linear models. 1-test. Given a linear regression model (1) where is an parameter vector and is an input regression vector. Assume we have a generating system given by (2) where and is some static non- linear function, possibly

  5. A coupled isotope tracer method to characterize input water to lakes

    E-Print Network [OSTI]

    Edwards, Thomas W.D.

    of input waters after accounting for the effects of secondary evaporative isotopic enrichment. As shownA coupled isotope tracer method to characterize input water to lakes Yi Yi a,*, Bronwyn E. Brock in revised form 7 November 2007; accepted 9 November 2007 KEYWORDS Water isotope tracers; Isotope hydrology

  6. 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

  7. A Current-based Method for Short Circuit Power Calculation under Noisy Input Waveforms*

    E-Print Network [OSTI]

    Pedram, Massoud

    A Current-based Method for Short Circuit Power Calculation under Noisy Input Waveforms* Hanif circuit energy dissipation of logic cells. The short circuit current is highly dependent on the input waveforms are then used to calculate the short circuit current, and hence, short circuit energy dissipation

  8. 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

  9. LETTER Communicated by Emilio Salinas Higher-Order Statistics of Input Ensembles and the Response

    E-Print Network [OSTI]

    LETTER Communicated by Emilio Salinas Higher-Order Statistics of Input Ensembles and the Response (Steinmetz et al., 2000; Salinas & Sejnowski, 2001). The effect of correlated synaptic input on the neuronal; Salinas & Sejnowski, 2000; Svirskis & Rinzel, 2000; Feng & Zhang, 2001; Stroeve & Gielen, 2001

  10. 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.

  11. Deriving a Near-optimal Power Management Policy Using Model-Free Reinforcement Learning and Bayesian Classification

    E-Print Network [OSTI]

    Pedram, Massoud

    Deriving a Near-optimal Power Management Policy Using Model- Free Reinforcement Learning hardware and application characteristics, dynamic power management (DPM) frameworks must be able to learn about the system inputs and environment and adjust the power management policy on the fly. In this paper

  12. 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.

  13. 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.

  14. 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...

  15. A VALIDATION INDEX FOR ARTIFICIAL NEURAL NETWORKS

    E-Print Network [OSTI]

    Roberts, Stephen

    A VALIDATION INDEX FOR ARTIFICIAL NEURAL NETWORKS Stephen Roberts, Lionel Tarassenko, James Pardey and estimation properties of artificial neural networks. Like many `traditional' statistical techniques & David Siegwart Neural Network Research Group Department of Engineering Science University of Oxford, UK

  16. Navy Technology Validation (Techval) Monitoring Results

    Broader source: Energy.gov [DOE]

    Presentation covers the Navy Technology Validation (Techval) Monitoring Results and is given at the Federal Utility Partnership Working Group (FUPWG) 2006 Spring meeting, held on May 3-4, 2006 in Atlanta, Georgia.

  17. 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.

  18. MCNP-4B Validation for the DFS System at SRS

    SciTech Connect (OSTI)

    Blanchard, A.

    1999-10-07T23:59:59.000Z

    This document provides the current work to date on the validation of the WSRC certified MCNP-4B, and is the last stage of the WSRC Validation Plan that was drafted to guide the validation effort.

  19. 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.

  20. 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...

  1. Management Analyst

    Broader source: Energy.gov [DOE]

    The incumbent in this position will serve as a Management Analyst in the Strategy Execution group of the Corporate Strategy organization (SE). The Strategy Execution group develops and coordinates...

  2. Managing Solutions

    E-Print Network [OSTI]

    Baker, Emily

    2007-01-01T23:59:59.000Z

    , and Texas Water --------------------------------------------- Project Managers Cecilia Wagner, Kevin Wagner, Danielle Supercinski, Dr. Bill Fox and Lucas Gregory work to link university researchers and Extension specialists to appropriate funding agen... Irrigators Network. Kevin Wagner, who joined TWRI in 2005 from TSSWCB, has spent several years working with environmental issues. He is currently pursuing his doctorate evaluating best management practices for reducing bacterial runoff from cattle wastes...

  3. 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.

  4. Input to the PRAST computer code used in the SRS probabilistic risk assessment

    SciTech Connect (OSTI)

    Kearnaghan, D.P.

    1992-10-15T23:59:59.000Z

    The PRAST (Production Reactor Algorithm for Source Terms) computer code was developed by Westinghouse Savannah River Company and Science Application International Corporation for the quantification of source terms for the SRS Savannah River Site (SRS) Reactor Probabilistic Risk Assessment. PRAST requires as input a set of release fractions, decontamination factors, transfer fractions and source term characteristics that accurately reflect the conditions that are evaluated by PRAST. This document links the analyses which form the basis for the PRAST input parameters. In addition, it gives the distribution of the input parameters that are uncertain and considered to be important to the evaluation of the source terms to the environment.

  5. MCNP5 CRITICALITY VALIDATION AND BIAS FOR INTERMEDIATE ENRICHED URANIUM SYSTEMS

    SciTech Connect (OSTI)

    FINFROCK SH

    2009-12-10T23:59:59.000Z

    The purpose of this analysis is to validate the Monte Carlo N-Particle 5 (MCNP5) code Version 1.40 (LA-UR-03-1987, 2005) and its cross-section database for k-code calculations of intermediate enriched uranium systems on INTEL{reg_sign} processor based PC's running any version of the WINDOWS operating system. Configurations with intermediate enriched uranium were modeled with the moderator range of 39 {le} H/Fissile {le} 1438. See Table 2-1 for brief descriptions of selected cases and Table 3-1 for the range of applicability for this validation. A total of 167 input cases were evaluated including bare and reflected systems in a single body or arrays. The 167 cases were taken directly from the previous (Version 4C [Lan 2005]) validation database. Section 2.0 list data used to calculate k-effective (k{sub eff}) for the 167 experimental criticality benchmark cases using the MCNP5 code v1.40 and its cross section database. Appendix B lists the MCNP cross-section database entries validated for use in evaluating the intermediate enriched uranium systems for criticality safety. The dimensions and atom densities for the intermediate enriched uranium experiments were taken from NEA/NSC/DOC(95)03, September 2005, which will be referred to as the benchmark handbook throughout the report. For these input values, the experimental benchmark k{sub eff} is approximately 1.0. The MCNP validation computer runs ran to an accuracy of approximately {+-} 0.001. For the cases where the reported benchmark k{sub eff} was not equal to 1.0000 the MCNP calculational results were normalized. The difference between the MCNP validation computer runs and the experimentally measured k{sub eff} is the MCNP5 v1.40 bias. The USLSTATS code (ORNL 1998) was utilized to perform the statistical analysis and generate an acceptable maximum k{sub eff} limit for calculations of the intermediate enriched uranium type systems.

  6. 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...

  7. 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...

  8. Optical Measurement Methods used in Calibration and Validation...

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

    Optical Measurement Methods used in Calibration and Validation of Modeled Injection Spray Characteristics Optical Measurement Methods used in Calibration and Validation of Modeled...

  9. 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...

  10. Cloud Computing and Validation of Expandable In Silico Livers

    E-Print Network [OSTI]

    Ropella, Glen EP; Hunt, C Anthony

    2010-01-01T23:59:59.000Z

    benefit analysis of cloud computing versus desktop grids.as: Ropella and Hunt: Cloud computing and validation ofCloud computing and validation of expandable in silico

  11. 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...

  12. Empirical validation using data from the SERI class-A validation house

    SciTech Connect (OSTI)

    Judkoff, R.; Wortman, D.N.; Burch, J.

    1983-04-01T23:59:59.000Z

    A residential test building at the SERI Interim Field Site was monitored at the Class-A level during the spring of 1982. The building was also modeled on three building energy analysis simulations - DOE2.1A, Blast 3.0 and SERIRES - using measured weather data from the test period and the location. The measured energy performance data, and that predicted by the simulations, were compared. More correct input files for the codes were developed using measured values of input parameters, and the results were also compared with the measured performance data. The comparisons show that input errors can contribute to predicted auxiliary energy requirements which are on the order of 60% or more higher than the measured loads, and that improvements in input variables could reduce these errors significantly.

  13. 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.

  14. 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...

  15. Assigning intonation elements and prosodic phrasing for English speech synthesis from high level linguistic input 

    E-Print Network [OSTI]

    Black, Alan W; Taylor, Paul A

    This paper describes a method for generating intonation events and prosodic phrasing from a high level linguistic description. Specifically, the input consists of information normally available from linguistic processing: ...

  16. METAMODELS AS INPUT OF AN OPTIMIZATION ALGORITHM FOR SOLVING AN INVERSE EDDY CURRENT TESTING PROBLEM

    E-Print Network [OSTI]

    Boyer, Edmond

    METAMODELS AS INPUT OF AN OPTIMIZATION ALGORITHM FOR SOLVING AN INVERSE EDDY CURRENT TESTING-Curie, 91192 Gif-sur-Yvette, France Abstract A new mean of solution of eddy current testing (ECT) inverse

  17. 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 ...

  18. 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 ...

  19. The Effect of Changing Input and Product Prices on the Demand for Irrigation Water in Texas

    E-Print Network [OSTI]

    Lacewell, R. D.; Condra, G. D.

    uncertainties which often have not disturbed the policy-maker in evaluating alternatives. Product prices have risen and fallen at an unprecedented rate while input prices have steadily risen at rates which preclude realistic budgeting. For example, during...

  20. 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

  1. 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...

  2. 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

  3. 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 ...

  4. Development of MELCOR Input Techniques for High Temperature Gas-Cooled Reactor Analysis

    E-Print Network [OSTI]

    Corson, James

    2011-08-08T23:59:59.000Z

    and other HTGRs. In the present study, new input techniques have been developed for MELCOR HTGR analysis. These new techniques include methods for modeling radiation heat transfer between solid surfaces in an HTGR, calculating fuel and cladding geometric...

  5. Shelf-derived iron inputs drive biological productivity in the southern Drake Passage

    E-Print Network [OSTI]

    as large as inputs from mineral dust. Sediment resuspension events [Luther and Wu, 1997; Johnson et al al., 2004] lead to higher concentrations in coastal and shelf waters. It appears that in the Southern

  6. 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

  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. 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...

  9. Certainty in Stockpile Computing: Recommending a Verification and Validation Program for Scientific Software

    SciTech Connect (OSTI)

    Lee, J.R.

    1998-11-01T23:59:59.000Z

    As computing assumes a more central role in managing the nuclear stockpile, the consequences of an erroneous computer simulation could be severe. Computational failures are common in other endeavors and have caused project failures, significant economic loss, and loss of life. This report examines the causes of software failure and proposes steps to mitigate them. A formal verification and validation program for scientific software is recommended and described.

  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. 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.

  12. Concatenated codes for the multiple-input multiple-output quasi-static fading channel

    E-Print Network [OSTI]

    Gulati, Vivek

    2005-02-17T23:59:59.000Z

    CONCATENATED CODES FOR THE MULTIPLE-INPUT MULTIPLE-OUTPUT QUASI-STATIC FADING CHANNEL A Dissertation by VIVEK GULATI Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree... of DOCTOR OF PHILOSOPHY December 2004 Major Subject: Electrical Engineering CONCATENATED CODES FOR THE MULTIPLE-INPUT MULTIPLE-OUTPUT QUASI-STATIC FADING CHANNEL A Dissertation by VIVEK GULATI Submitted to Texas A&M University in partial fulfillment...

  13. 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...

  14. Value of Laboratory Experiments for Code Validations

    SciTech Connect (OSTI)

    Wawersik, W.R.

    1998-12-14T23:59:59.000Z

    Numerical codes have become indispensable for designing underground structures and interpretating the behavior of geologic systems. Because of the complexities of geologic systems, however, code calculations often are associated with large quantitative uncertainties. This papers presents three examples to demonstrate the value of laboratory(or bench scale) experiments to evaluate the predictive capabilities of such codes with five major conclusions: Laboratory or bench-scale experiments are a very cost-effective, controlled means of evaluating and validating numerical codes, not instead of but before or at least concurrent with the implementation of in situ studies. The design of good laboratory validation tests must identifj what aspects of a code are to be scrutinized in order to optimize the size, geometry, boundary conditions, and duration of the experiments. The design of good and sometimes difficult numerical analyses and sensitivity studies. Laboratory validation tests must involve: Good validation experiments will generate independent data sets to identify the combined effect of constitutive models, model generalizations, material parameters, and numerical algorithms. Successfid validations of numerical codes mandate a close collaboration between experimentalists and analysts drawing from the full gamut of observations, measurements, and mathematical results.

  15. 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

  16. 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 ...

  17. 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.

  18. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps toValidating Computer-DesignedValidation

  19. The Influence of Isotopic Mass, Edge Magnetic Shear and Input Power on High Density ELMy H-modes in JET

    E-Print Network [OSTI]

    The Influence of Isotopic Mass, Edge Magnetic Shear and Input Power on High Density ELMy H-modes in JET

  20. Model Based Test Generation for Microprocessor Architecture Validation

    E-Print Network [OSTI]

    Minnesota, University of

    , Minneapolis, MN 55455 CESCA, Virginia Tech, Blacksburg, VA 24061 Validation Technology, Intel Corporation

  1. 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

  2. Dual-Sampling-Rate Moving Horizon Control of a Class of Linear Systems with Input Saturation and

    E-Print Network [OSTI]

    Dual-Sampling-Rate Moving Horizon Control of a Class of Linear Systems with Input Saturation horizon control scheme for a class of linear, continuous-time plants with strict input saturation horizon control, robust, fast sampling, stability, linear sys- tems, input constraints 1 Introduction

  3. 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

  4. 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 March 2009; published 5 June 2009. [1] The energy input to the upper ocean Ekman layer is assessed velocities, with an adjustment to account for the vertical structure of the upper ocean. The energy input

  5. Risk Management Policy Category: Strategic Management

    E-Print Network [OSTI]

    1 Risk Management Policy Category: Strategic Management 1. PURPOSE To support the University will be encouraged to speak openly and honestly. (iii) Managers will monitor risk and will disclose risks identified's risk appetite. 2.3. Risk management standards 2.3.1 The University's risk management framework

  6. The limited validity of the Kubo formula

    E-Print Network [OSTI]

    Steinhoff, Heinz-JĂĽrgen

    The limited validity of the Kubo formula for thermal conduction J. Gemmer, UniversitË?at Osnabr; Transport phenomena and Kubo formula Normal transport phenomena: ``field driven'' j = L F F electric current (#) F = -#V Kubo formula (KF): L F (#) = 1 V # # 0 dt e -i#t # # 0 d# Tr{â??# 0 â?? j(0) â?? j(t + i

  7. 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

  8. 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.

  9. 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

    Abstract—The 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

  10. 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

  11. Master Thesis Validation of Interpersonal Stances

    E-Print Network [OSTI]

    Vellekoop, Michel

    , people recognized the stances expressed by the virtual humans when they show the behaviors technology, such as 3D animation, programming in 3D game engine and virtual reality head-mounted displayMaster Thesis Validation of Interpersonal Stances Expressed by Virtual Suspect Characters

  12. 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) process—a set of specially designed software models used to test RELAP-7.

  13. Network Security Validation Using Game Theory

    E-Print Network [OSTI]

    Mavronicolas, Marios

    1 Network Security Validation Using Game Theory Vicky Papadopoulou and Andreas Gregoriades Computer.papadopoulou,a.gregoriades}@euc.ac.cy Abstract: Non-functional requirements (NFR) such as network security recently gained widespread attention the immunity property of the distributed systems that depended on these networks. Security requirements

  14. 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

  15. Data Management Policy | EMSL

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

    Data Management Policy Data Management Policy The data management resource information and data release policies below are provided to help researchers understand the data...

  16. NERSC Data Management Policies

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

    Data Management Policies NERSC Data Management Policies Introduction NERSC provides its users with the means to store, manage, and share their research data products. In addition...

  17. Riparian Area. . . . . . . . . . . . . . . . . . . . Management Handbook

    E-Print Network [OSTI]

    Balasundaram, Balabhaskar "Baski"

    ..............................................................................................................19 Bruce Hoagland, Oklahoma Biological Survey and the University of Oklahoma Forest Management Riparian Area. . . . . . . . . . . . . . . . . . . . Management Handbook E-952 Oklahoma Cooperative . . . . . . . . . . . . . Oklahoma Conservation Commission Management Handbook #12

  18. Office of Legacy Management FY 2009 Energy Management Data Report...

    Office of Environmental Management (EM)

    Office of Legacy Management FY 2009 Energy Management Data Report Office of Legacy Management FY 2009 Energy Management Data Report FY 2009 Energy Management Performance Summary...

  19. Design Impacts of Stochastically-Varying Input Parameters on Advanced Thermoelectric Conversion Systems

    SciTech Connect (OSTI)

    Hendricks, Terry J.; Karri, Naveen K.

    2007-06-30T23:59:59.000Z

    Advanced, direct thermal energy conversion technologies are receiving increased research attention in order to recover waste thermal energy in advanced vehicles and industrial processes. Advanced thermoelectric (TE) systems necessarily require integrated system-level analyses to establish accurate optimum system designs. Past system-level design and analysis has relied on well-defined deterministic input parameters even though many critically important environmental and system design parameters in the above mentioned applications are often randomly variable, sometimes according to complex relationships, rather than discrete, well-known deterministic variables. This work describes new research and development creating techniques and capabilities for probabilistic design and analysis of advanced TE power generation systems to quantify the effects of randomly uncertain design inputs in determining more robust optimum TE system designs and expected outputs. Selected case studies involving stochastic TE .material properties and coupled multi-variable stochasticity in key environmental and design parameters are presented and discussed to demonstrate key impacts from considering stochastic design inputs on the TE design optimization process. Critical findings show that: 1) stochastic Gaussian input distributions may produce Gaussian or non-Gaussian outcome probability distributions for critical TE design parameters, and 2) probabilistic input considerations can create design effects that warrant significant modifications to deterministically-derived optimum TE system designs. Magnitudes and directions of these design modifications are quantified for selected TE system design analysis cases.

  20. Design Impacts of Stochastically-Varying Input Parameters on Advanced Thermoelectric Conversion

    SciTech Connect (OSTI)

    Hendricks, Terry J.; Karri, Naveen K.

    2007-07-18T23:59:59.000Z

    Advanced, direct thermal energy conversion technologies are receiving increased research attention in order to recover waste thermal energy in advanced vehicles and industrial processes. Advanced thermoelectric (TE) systems necessarily require integrated system-level analyses to establish accurate optimum system designs. Past system-level design and analysis has relied on well-defined deterministic input parameters even though many critically important environmental and system design parameters in the above mentioned applications are often randomly variable, sometimes according to complex relationships, rather than discrete, well-known deterministic variables. This work describes new research and development creating techniques and capabilities for probabilistic design and analysis of advanced TE power generation systems to quantify the effects of randomly uncertain design inputs in determining more robust optimum TE system designs and expected outputs. Selected case studies involving stochastic TE .material properties and coupled multi-variable stochasticity in key environmental and design parameters are presented and discussed to demonstrate key impacts from considering stochastic design inputs on the TE design optimization process. Critical findings show that: 1) stochastic Gaussian input distributions may produce Gaussian or non-Gaussian outcome probability distributions for critical TE design parameters, and 2) probabilistic input considerations can create design effects that warrant significant modifications to deterministically-derived optimum TE system designs. Magnitudes and directions of these design modifications are quantified for selected TE system design analysis cases.

  1. Temperature and heat flux datasets of a complex object in a fire plume for the validation of fire and thermal response codes.

    SciTech Connect (OSTI)

    Jernigan, Dann A.; Blanchat, Thomas K.

    2010-09-01T23:59:59.000Z

    It is necessary to improve understanding and develop temporally- and spatially-resolved integral scale validation data of the heat flux incident to a complex object in addition to measuring the thermal response of said object located within the fire plume for the validation of the SIERRA/FUEGO/SYRINX fire and SIERRA/CALORE codes. To meet this objective, a complex calorimeter with sufficient instrumentation to allow validation of the coupling between FUEGO/SYRINX/CALORE has been designed, fabricated, and tested in the Fire Laboratory for Accreditation of Models and Experiments (FLAME) facility. Validation experiments are specifically designed for direct comparison with the computational predictions. Making meaningful comparison between the computational and experimental results requires careful characterization and control of the experimental features or parameters used as inputs into the computational model. Validation experiments must be designed to capture the essential physical phenomena, including all relevant initial and boundary conditions. This report presents the data validation steps and processes, the results of the penlight radiant heat experiments (for the purpose of validating the CALORE heat transfer modeling of the complex calorimeter), and the results of the fire tests in FLAME.

  2. 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

  3. 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

  4. 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.

  5. 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.

  6. 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.

  7. 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....

  8. Stormwater Management 

    E-Print Network [OSTI]

    Jaber, Fouad

    2008-10-23T23:59:59.000Z

    . Stormwater also may wash bacteria and other pathogens into swimming areas, creating health hazards that often close beaches. Stormwater may carry debris, such as plastic bags, six-pack rings, and cigarette butts, into water bodies; such debris can choke... the development and implementation of best management practices (BMPs) and achievement of measurable goals at levels sufficient to satisfy each of six minimum control measures and an optional seventh control measure: 1. Public education and outreach...

  9. 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.

  10. 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.

  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

    (1997) explore the implicanons of the Lichienberg and Zilberman model, particularly the assumption that damage abatement is independent of all other inputs. The general functional form proposed by Lichtenberg and Zilbennan is (2. 2) q = f[z, G(x... with damage abatement functions G(x, y) as the input were estimated, using the chosen model for the variance 3. 3. ) Esrimationoff (xyz) For f( ), a Cobb-Douglas, translog and quadratic were estimated. The respective model specifications are: (3. 6) f...

  12. Additivity and multiplicativity properties of some Gaussian channels for Gaussian inputs

    E-Print Network [OSTI]

    Tohya Hiroshima

    2006-02-13T23:59:59.000Z

    We prove multiplicativity of maximal output $p$ norm of classical noise channels and thermal noise channels of arbitrary modes for all $p>1$ under the assumption that the input signal states are Gaussian states. As a direct consequence, we also show the additivity of the minimal output entropy and that of the energy-constrained Holevo capacity for those Gaussian channels under Gaussian inputs. To the best of our knowledge, newly discovered majorization relation on symplectic eigenvalues, which is also of independent interest, plays a central role in the proof.

  13. Automated perfusion-weighted MRI metrics via localized arterial input functions

    E-Print Network [OSTI]

    Lorenz, Cory, 1981-

    2004-01-01T23:59:59.000Z

    This thesis describes and validates a new method for calculating perfusion-weighted MRI (PWI) metrics, a non-invasive technique for calculating cerebral blood flow by tracking a bolus of contrast agent. Past methods to do ...

  14. A validation test for Adagio through replication of Big Hill and Bayou Choctaw JAS3D models.

    SciTech Connect (OSTI)

    Park, Byoung Yoon

    2013-06-01T23:59:59.000Z

    JAS3D, a three dimensional iterative solid mechanics code, has been used for structural analyses for the Strategic Petroleum Reserve system since the 1990s. JAS3D is no longer supported by Sandia National Laboratories, and has been replaced by Adagio. To validate the transition from JAS3D to Adagio, the existing JAS3D input decks and user subroutines for Bayou Choctaw and Big Hill models were converted for use with Adagio. The calculation results from the Adagio runs are compared to the JAS3D. Since the Adagio results are very similar to the JAS3D results, Adagio is judged to be performing satisfactorily.

  15. 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.

  16. 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.

  17. 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.

  18. 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/

  19. Nuclear data to support computer code validation

    SciTech Connect (OSTI)

    Fisher, S.E.; Broadhead, B.L.; DeHart, M.D.; Primm, R.T. III

    1997-04-01T23:59:59.000Z

    The rate of plutonium disposition will be a key parameter in determining the degree of success of the Fissile Materials Disposition Program. Estimates of the disposition rate are dependent on neutronics calculations. To ensure that these calculations are accurate, the codes and data should be validated against applicable experimental measurements. Further, before mixed-oxide (MOX) fuel can be fabricated and loaded into a reactor, the fuel vendors, fabricators, fuel transporters, reactor owners and operators, regulatory authorities, and the Department of Energy (DOE) must accept the validity of design calculations. This report presents sources of neutronics measurements that have potential application for validating reactor physics (predicting the power distribution in the reactor core), predicting the spent fuel isotopic content, predicting the decay heat generation rate, certifying criticality safety of fuel cycle facilities, and ensuring adequate radiation protection at the fuel cycle facilities and the reactor. The U.S. in-reactor experience with MOX fuel is first presented, followed by information related to other aspects of the MOX fuel performance information that is valuable to this program, but the data base remains largely proprietary. Thus, this information is not reported here. It is expected that the selected consortium will make the necessary arrangements to procure or have access to the requisite information.

  20. Risk Management, Mar 2012 Risk Management

    E-Print Network [OSTI]

    Risk Management, Mar 2012 Risk Management Conditions of Volunteer Service (Please send completed form to the Office of Risk Management) riskmanagement@uoregon.edu Fax: 541-346-7008 As a volunteer Tort Claims Act, ORS 30.260-300, and Oregon Department of Administrative Services Risk Management

  1. Risk Management Procedures Category: Strategic Management

    E-Print Network [OSTI]

    1 Risk Management Procedures Category: Strategic Management 1. LEGISLATION/ENTERPRISE AGREEMENT/POLICY SUPPORTED Risk Management Policy Tertiary Education Quality Standards Agency Act 2011 (TEQSA Act 2011) 2 (a) Advise the Vice-Chancellor on the effective management of the University's risk profile

  2. 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

  3. Management 301 Management and Organizational Behavior

    E-Print Network [OSTI]

    Young, Paul Thomas

    Management 301 Management and Organizational Behavior Section 003 Fall 2013 (8/20-12/3) College approaches management as that process of reaching organizational goals by working with and through people. Course Objectives 1. To understand management and organizational behavior (ob) concepts associated

  4. Maximum Output Amplitude of Linear Systems for certain Input Constraints1

    E-Print Network [OSTI]

    Sontag, Eduardo

    of this input and calculates the maximum amplitude of the output. The solution of this problem is a necessary, Linear Sys- tems. 1 Introduction and Motivation Most practical control problems are dominated by hard bounds. Valves can only be operated between fully open and fully closed, pumps and compressors have

  5. 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

  6. A wrapper approach to supervised input selection using simulated M. Filippone, F. Masulli, S. Rovetta

    E-Print Network [OSTI]

    Filippone, Maurizio

    objectives of highlighting the relevant variables (genes) and improving classification results. In this paper Simulated Annealing coupled with supervised classifiers. The proposed approach can perform global combinatorial searches through the space of all possible input subsets, can handle cases with numerical

  7. Linear Feedback Control Input under Actuator Saturation: a Takagi-Sugeno Approach

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Linear Feedback Control Input under Actuator Saturation: a Takagi-Sugeno Approach Souad Bezzaoucha into account the effect of saturation throughout the design procedure, a controller that may be linear. The third strategy is a two-step approach in which a nominal linear controller is first constructed

  8. OPTIMAL REGULATOR FOR LINEAR SYSTEMS WITH TIME DELAY IN CONTROL INPUT

    E-Print Network [OSTI]

    OPTIMAL REGULATOR FOR LINEAR SYSTEMS WITH TIME DELAY IN CONTROL INPUT MICHAEL BASIN JESUS RODRIGUEZ are included. Keywords: Linear Time-Delay System; Optimal Control; Filtering Category of the paper: Regular 1 Introduction Although the optimal control (regulator) problem for linear system states was solved, as well

  9. A constructive interior penalty method for optimal control problems with state and input constraints.

    E-Print Network [OSTI]

    which allows us to address constrained optimal control of non linear systems by interior penalty methods in the article. It is shown that it allows us to approach the solution of the non linear optimal control problem a constrained optimal control problem (COCP) for a general single-input single-output (SISO) with non linear

  10. 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

  11. 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

  12. 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

  13. 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

  14. Calibration of a distributed flood forecasting model with input uncertainty using a Bayesian framework

    E-Print Network [OSTI]

    Hubbard, Susan

    Calibration of a distributed flood forecasting model with input uncertainty using a Bayesian; revised 20 June 2012; accepted 28 June 2012; published 15 August 2012. [1] In the process of calibrating that the developed method generally is effective in calibrating GBHM parameters and in estimating their associated

  15. 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

  16. Optical induction of plasticity at single synapses reveals input-specific accumulation of CaMKII

    E-Print Network [OSTI]

    Oertner, Thomas

    Optical induction of plasticity at single synapses reveals input-specific accumulation of Ca spines on the same dendrite, providing evidence that CaMKII accumulation at postsynaptic sites induces CaMKII accumulation in spines (8­10) have created much interest because CaMKII activation is both

  17. Characteristic Operator Functions for Quantum Input-Plant-Output Models & Coherent Control

    E-Print Network [OSTI]

    J. E. Gough

    2015-01-09T23:59:59.000Z

    We introduce the characteristic operator as the generalization of the usual concept of a transfer function of linear input-plant-output systems to arbitrary quantum nonlinear Markovian input-output models. This is intended as a tool in the characterization of quantum feedback control systems that fits in with the general theory of networks. The definition exploits the linearity of noise differentials in both the plant Heisenberg equations of motion and the differential form of the input-output relations. Mathematically, the characteristic operator is a matrix of dimension equal to the number of outputs times the number of inputs (which must coincide), but with entries that are operators of the plant system. In this sense the characteristic operator retains details of the effective plant dynamical structure and is an essentially quantum object. We illustrate the relevance to model reduction and simplification by showing that the convergence of the characteristic operator in adiabatic elimination limit models requires the same conditions and assumptions appearing in the work on limit quantum stochastic differential theorems of Bouten and Silberfarb. This approach also shows in a natural way that the limit coefficients of the quantum stochastic differential equations in adiabatic elimination problems arise algebraically as Schur complements, and amounts to a model reduction where the fast degrees of freedom are decoupled from the slow ones, and eliminated.

  18. BPO Inputs to ITER Design Review on Pellet Pacing, RMP and RWM Coils,

    E-Print Network [OSTI]

    BPO Inputs to ITER Design Review on Pellet Pacing, RMP and RWM Coils, and Disruption Mitigation Collaboration Essential Ingredient Contributions to Pellet Pacing USBPO: L. Baylor and P. Parks EU: P. Lang, A the acceptable energy loss from ELMs. Reducing the energy loss to pellet pacing is challenging. DIII

  19. Effects of weld preheat temperature and heat input on type IV failure

    E-Print Network [OSTI]

    Cambridge, University of

    Effects of weld preheat temperature and heat input on type IV failure J. A. Francis*1 , G. M. D of a welded joint due to an enhanced rate of creep void formation in the fine grained or intercritically standpoint, and comparatively little effort has been directed at understanding the effects of welding

  20. Evidence for Interhemispheric Processing of Inputs From the Hands in Human S2 and PV

    E-Print Network [OSTI]

    Krubitzer, Leah A.

    Evidence for Interhemispheric Processing of Inputs From the Hands in Human S2 and PV ELIZABETH S2 and PV. J Neurophysiol 85: 2236­2244, 2001. In the present investigation, we identified cortical somatosensory (S2) and the parietal ventral (PV) areas, was significantly larger for bilateral stimulation than

  1. 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

  2. Estuaries Vol. 18, No. 16, p. 285-314 March 1995 Inputs, Transformations, and Transport of

    E-Print Network [OSTI]

    Boynton, Walter R.

    ) and total phosphorus (TP) for ChesapeakeBay and three of its tributaryestuaries(Potomac, Patuxent-yrrecord for the SusquehannaRiver indicatesthatannual loads of TN and TP have varied by about 2-fold and 4% of the TN and TP inputs to the mainstreamChesapeake and Potomac River. The direct depositionof

  3. 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

  4. Home Energy Saver Web Site Documentation Version 1.2 Documentation of Calculation Methodology, Input Data,

    E-Print Network [OSTI]

    Methodology, Input Data, and Infrastructure for the Home Energy Saver Web Site Margaret J. Pinckard, Richard E decisions about energy use in their homes. This report describes the underlying methods and data for estimating energy consumption. Using engineering models, the site estimates energy consumption for six major

  5. 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 method of mapping human motions to the robotic arm domain, assuming that a redundant human arm is used

  6. WRAPHydro Data Model: Finding Input Parameters for the Water Rights Analysis Package

    E-Print Network [OSTI]

    Gopalan, Hema

    .3 Loading Junctions .............................................................................59 6.4 HydroID Assignment ........................................................................60 6.5 WRAP input parameters... .....................................................................................82 7.3.1 Selecting streams and placing outlet points ..................................82 7.3.2 Assigning Regional HydroIDs ......................................................84 7.3.3 Merging Areas...

  7. 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

  8. An architecture for intelligent sensors and fuzzy inputs for fuzzy logic controllers 

    E-Print Network [OSTI]

    Gillespie, Charles Wayne

    1993-01-01T23:59:59.000Z

    in situations where an adequate model of the system is not available. But the controller may only be as good as the quality of the sensor values that provide input to it. The quality of the sensor values is of great concern for designers. Just as in the cases...

  9. 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

  10. 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...

  11. 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

  12. Temperature-aware NBTI modeling and the impact of input vector control on performance degradation

    E-Print Network [OSTI]

    Wang, Yu

    Temperature-aware NBTI modeling and the impact of input vector control on performance degradation performance degradation in dig- ital circuits by affecting PMOS threshold voltage, is emerging as one devices and propose a novel temporal performance degradation model for digital cir- cuits considering

  13. Modeling and Control of Heterogeneous Non-Holonomic Input-Constrained Multiagent Systems

    E-Print Network [OSTI]

    Loizou, Savvas G.

    of multiple-aircraft systems modeled as hybrid systems. With the advent of powerful formal verification toolsModeling and Control of Heterogeneous Non-Holonomic Input-Constrained Multiagent Systems Apollon S of the paper, we develop a modeling framework for heterogeneous multi-agent systems that is based on timed

  14. Study on the Procedural Generation of Visualization from Musical Input using Generative Art Techniques 

    E-Print Network [OSTI]

    Garcia, Christopher

    2011-08-08T23:59:59.000Z

    . There should be an obvious similarity between the input music and the final animation, based on the music information which the user decides to extract and visualize. This project includes a pipeline for music data extraction and creation of an editable...

  15. Measuring the erodibility of soil materials constituting earth embankments: a key input for dams and levees

    E-Print Network [OSTI]

    Boyer, Edmond

    Measuring the erodibility of soil materials constituting earth embankments: a key input for dams of hydraulic embankment structures, including earth embankment dams, levees and dykes, is a major concern all over the world. Still today, about one to two large dams fail every year and hundreds, probably

  16. Control of linear systems subject to input constraints: a polynomial approach. \\Lambda

    E-Print Network [OSTI]

    Henrion, Didier

    rely on the extended Farkas lemma [14], linear programming [32, 9], eigenstructure assignment [8, 9Control of linear systems subject to input constraints: a polynomial approach. \\Lambda Didier Republic Abstract A polynomial approach is pursued for locally stabilizing discrete­time linear systems

  17. Arctic methane sources: Isotopic evidence for atmospheric inputs R. E. Fisher,1

    E-Print Network [OSTI]

    Sheldon, Nathan D.

    Arctic methane sources: Isotopic evidence for atmospheric inputs R. E. Fisher,1 S. Sriskantharajah,1 D. Lowry,1 M. Lanoisellé,1 C. M. R. Fowler,1 R. H. James,2 O. Hermansen,3 C. Lund Myhre,3 A. Stohl,3 J. Greinert,4 P. B. R. NisbetJones,5 J. Mienert,6 and E. G. Nisbet1 Received 16 August 2011

  18. Development of MELCOR Input Techniques for High Temperature Gas-Cooled Reactor Analysis 

    E-Print Network [OSTI]

    Corson, James

    2011-08-08T23:59:59.000Z

    : : : : : : : : : : : : : : : : : : : : : : : : : : : 201 B.3 PBMR CVH volumes coupled to each COR cell : : : : : : : : : : : : : : 202 B.4 Mass of materials in the fuel component (PBMR) : : : : : : : : : : : : : 204 B.5 Mass of graphite in the clad component (PBMR) : : : : : : : : : : : : : 204 B.6... Mass of graphite in the re ector component (PBMR) : : : : : : : : : : : 205 B.7 PBMR supporting structure parameters : : : : : : : : : : : : : : : : : : 206 B.8 PBMR re ector geometry input : : : : : : : : : : : : : : : : : : : : : : : 207 B.9 PBMR...

  19. 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 ...

  20. 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

  1. Wide input range DC-DC converter with digital control scheme

    E-Print Network [OSTI]

    Harfman Todorovic, Maja

    2006-04-12T23:59:59.000Z

    In this thesis analysis and design of a wide input range DC-DC converter is proposed along with a robust power control scheme. The proposed converter and its control is designed to be compatible to a fuel cell power source, which exhibits 2...

  2. 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

  3. Data 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctoberDaniel WoodID Service FirstData

  4. Data 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctoberDaniel WoodID Service

  5. Data 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctoberDaniel WoodID ServiceData

  6. SUBCONTRACT MANAGEMENT

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin ofEnergy atLLC - FE DKT. 10-160-LNG - ORDERSTATE0-1 CHAPTER 10 SUBCONTRACT MANAGEMENT

  7. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your Home and It'll LoveMail andAbout UsManagement

  8. 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.

  9. On the Validity of Collider-Mass Scaling for Molecular Rotational Excitation

    E-Print Network [OSTI]

    Walker, Kyle M; Stancil, P C; Balakrishnan, N; Forrey, R C

    2014-01-01T23:59:59.000Z

    Rate coefficients for collisional processes such as rotational and vibrational excitation are essential inputs in many astrophysical models. When rate coefficients are unknown, they are often estimated using known values from other systems. The most common example is to use He-collider rate coefficients to estimate values for other colliders, typically H$_2$, using scaling arguments based on the reduced mass of the collision system. This procedure is often justified by the assumption that the inelastic cross section is independent of the collider. Here we explore the validity of this approach focusing on rotational inelastic transitions for collisions of H, para-H$_2$, $^3$He, and $^4$He with CO in its vibrational ground state. We compare rate coefficients obtained via explicit calculations to those deduced by standard reduced-mass scaling. Not surprisingly, inelastic cross sections and rate coefficients are found to depend sensitively on both the reduced mass and the interaction potential energy surface. We ...

  10. 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.

  11. 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.

  12. Advanced Supply System Validation Workshop | Department of Energy

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

    Advanced Supply System Validation Workshop Advanced Supply System Validation Workshop February 3, 2015 12:00PM MST to February 4, 2015 2:15PM MST National Renewable Energy...

  13. 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.

  14. Development and Validation of the Transition Coordinators Survey

    E-Print Network [OSTI]

    Bjorkman Wade, Diana K.

    2014-05-31T23:59:59.000Z

    The purpose of this study was to create a valid and reliable instrument for the field of secondary special education and transition by developing and validating the Transition Coordinators Survey (TCS). Transition coordinators are professionals who...

  15. Validation of machine-oriented strategies in chess endgames 

    E-Print Network [OSTI]

    Niblett, Timothy B.

    1982-01-01T23:59:59.000Z

    This thesis is concerned with the validation of chess endgame strategies. It is also concerned with the synthesis of strategies that can be validated. A strategy for a given player is the specification of the move to ...

  16. Industrial engineering study of tank farm access qualifications and validations

    SciTech Connect (OSTI)

    Sterling, S.G., Westinghouse Hanford

    1996-07-01T23:59:59.000Z

    Engineering study of alternatives to reduce costs of validation worker`s qualification prior to Tank Farm area access.

  17. 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.

  18. 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

  19. Deviational analyses for validating regulations on real systems

    E-Print Network [OSTI]

    Kelly, Tim

    Deviational analyses for validating regulations on real systems Fiona Polack, Thitima Srivatanakul to the validation of reg- ulations, in the sense of their application of regulations to real systems. Keyword: deviational analysis, dependability, regulation validation 1 Background Regulations are intended to control

  20. NPP Atmosphere EDR Validation Plan NATIONAL POLAR-ORBITTING OPERATIONAL

    E-Print Network [OSTI]

    NPP Atmosphere EDR Validation Plan DRAFT NATIONAL POLAR-ORBITTING OPERATIONAL ENVIRONMENTAL and Aerosol EDRs DATE: 13 March 2009 No. I30008 VER. 1 REV. A PREPARED BY) 1 #12;NPP Atmosphere EDR Validation Plan DRAFT Calibration and Validation of the NPP/NPOESS VIIRS

  1. B. Vanlauwe et al.Decision support for organic resource management Original article

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ), or by application of vast amounts of manures or other organic resources, e.g., sods of peat in northern Belgium [5B. Vanlauwe et al.Decision support for organic resource management Original article Organic resource management in sub-Saharan Africa: validation of a residue quality-driven decision support system

  2. Reviews and Validations | Department of Energy

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed off Energy.gov. Are you sure you wantJoin us for| DepartmentReduce Hot WaterReviews and Validations

  3. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps toValidating Computer-Designed Proteins for

  4. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps toValidating Computer-Designed Proteins

  5. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps toValidating Computer-Designed

  6. Accelerated Testing Validation | 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 DataDepartment of Energy Your Density Isn't Your Destiny: The Future of1 AAccelerated aging of roofing surfaces HugoTesting Validation

  7. Calculation Package for the Analysis of Performance of Cells 1-6, with Underdrain, of the Environmental Management Waste Management Facility Oak Ridge, Tennessee

    SciTech Connect (OSTI)

    Gonzales D.

    2010-03-30T23:59:59.000Z

    This calculation package presents the results of an assessment of the performance of the 6 cell design of the Environmental Management Waste Management Facility (EMWMF). The calculations show that the new cell 6 design at the EMWMF meets the current WAC requirement. QA/QC steps were taken to verify the input/output data for the risk model and data transfer from modeling output files to tables and calculation.

  8. A Complex-Geometry Validation Experiment for Advanced Neutron Transport Codes

    SciTech Connect (OSTI)

    David W. Nigg; Anthony W. LaPorta; Joseph W. Nielsen; James Parry; Mark D. DeHart; Samuel E. Bays; William F. Skerjanc

    2013-11-01T23:59:59.000Z

    The Idaho National Laboratory (INL) has initiated a focused effort to upgrade legacy computational reactor physics software tools and protocols used for support of core fuel management and experiment management in the Advanced Test Reactor (ATR) and its companion critical facility (ATRC) at the INL.. This will be accomplished through the introduction of modern high-fidelity computational software and protocols, with appropriate new Verification and Validation (V&V) protocols, over the next 12-18 months. Stochastic and deterministic transport theory based reactor physics codes and nuclear data packages that support this effort include MCNP5[1], SCALE/KENO6[2], HELIOS[3], SCALE/NEWT[2], and ATTILA[4]. Furthermore, a capability for sensitivity analysis and uncertainty quantification based on the TSUNAMI[5] system has also been implemented. Finally, we are also evaluating the Serpent[6] and MC21[7] codes, as additional verification tools in the near term as well as for possible applications to full three-dimensional Monte Carlo based fuel management modeling in the longer term. On the experimental side, several new benchmark-quality code validation measurements based on neutron activation spectrometry have been conducted using the ATRC. Results for the first four experiments, focused on neutron spectrum measurements within the Northwest Large In-Pile Tube (NW LIPT) and in the core fuel elements surrounding the NW LIPT and the diametrically opposite Southeast IPT have been reported [8,9]. A fifth, very recent, experiment focused on detailed measurements of the element-to-element core power distribution is summarized here and examples of the use of the measured data for validation of corresponding MCNP5, HELIOS, NEWT, and Serpent computational models using modern least-square adjustment methods are provided.

  9. 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.

  10. 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.

  11. EPICS Input/Output Controller (IOC) application developer`s guide. APS Release 3.12

    SciTech Connect (OSTI)

    Kraimer, M.R.

    1994-11-01T23:59:59.000Z

    This document describes the core software that resides in an Input/Output Controller (IOC), one of the major components of EPICS. The basic components are: (OPI) Operator Interface; this is a UNIX based workstation which can run various EPICS tools; (IOC) Input/Output Controller; this is a VME/VXI based chassis containing a Motorola 68xxx processor, various I/O modules, and VME modules that provide access to other I/O buses such as GPIB, (LAN), Local Area Network; and this is the communication network which allows the IOCs and OPIs to communicate. Epics provides a software component, Channel Access, which provides network transparent communication between a Channel Access client and an arbitrary number of Channel Access servers.

  12. The variable input coupler for the Fermilab Vertical Cavity Test Facility

    SciTech Connect (OSTI)

    Champion, Mark; Ginsburg, Camille M.; Lunin, Andrei; /Fermilab; Moeller, Wolf-Dietrich; /DESY; Nehring, Roger; Poloubotko, Valeri; /Fermilab

    2008-09-01T23:59:59.000Z

    A variable input coupler has been designed for the Fermilab vertical cavity test facility (VCTF), a facility for CW RF vertical testing of bare ILC 1.3 GHz 9-cell SRF cavities at 2K, to provide some flexibility in the test stand RF measurements. The variable coupler allows the cavity to be critically coupled for all RF tests, including all TM010 passband modes, which will simplify or make possible the measurement of those modes with very low end-cell fields, e.g., {pi}/9 mode. The variable coupler assembly mounts to the standard input coupler port on the cavity, and uses a cryogenic motor submerged in superfluid helium to control the antenna position. The RF and mechanical design and RF test results are described.

  13. Linking atomistic and mesoscale simulations of nanocrystalline materials : quantitative validation for the case of grain growth.

    SciTech Connect (OSTI)

    Moldovan, D.; Wolf, D.; Phillpot, S. R.; Materials Science Division; Louisiana State Univ.

    2003-11-01T23:59:59.000Z

    Using grain growth in nanocrystalline palladium as a simple case study, we demonstrate how a novel mesoscale approach for simulating microstructural evolution in polycrystalline materials can be validated directly against atomic-level simulations of the same system. We first describe molecular dynamics simulations of grain growth in a columnar model microstructure. The atomic-level insights into the grain-growth mechanism gained from these simulations, particularly in the role of grain rotations, are captured theoretically for incorporation into the mesoscale approach, in which the objects evolving in space and time are the grain boundaries and grain junctions rather than the atoms. With all the input parameters to the mesoscale being physically well defined and obtained directly from the atomic-level simulations, the mesoscale simulations are fully prescribed. We find that the morphology of the mesoscale system evolves in an almost identical manner with that of the molecular dynamics simulation, demonstrating that the length- and time-scale linking has been performed correctly. When applied to systems containing large numbers of grains, the now validated mesoscale simulation approach allows the growth topology and long-time growth kinetics to be determined. As an outlook, we describe how the effects of applied stress can be incorporated.

  14. 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.

  15. 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...

  16. Algorithm 2: p-adic Lifting with Rational Reconstruction Input: Matrix A Qnn

    E-Print Network [OSTI]

    Algorithm 2: p-adic Lifting with Rational Reconstruction Input: Matrix A Qn×n [z], vector B Qn [z in A and B. 2. Pick a prime p which splits m(z) and find all roots r1, . . . , rd of m(z) mod p. 3. Set k := 1, error := B and compute A-1 (ri) mod p for i = 1, 2, . . . , d. If A(rj) is not invertible (mod p

  17. 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

  18. Enterprise Risk Management Program

    E-Print Network [OSTI]

    Hayden, Nancy J.

    Enterprise Risk Management Program Guide to Risk Assessment & Response August 16, 2012 #12; i ...........26 List of Figures Figure 1: The Risk Management Process.......................................................................................................12 #12; 1 Overview The risk management process--of identifying, analyzing, evaluating

  19. 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...

  20. environmental management radiation protection

    E-Print Network [OSTI]

    Entekhabi, Dara

    EHS environmental management biosafety radiation protection industrial hygiene safety Working: Biosafety, Environmental Management, Industrial Hygiene, Radiation Protection and Safety. Each specialized Management Program, Industrial Hygiene, Radiation Protection Program, and the Safety Program. (http

  1. 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

  2. Energy Management Working Group: Accelerating Energy Management

    E-Print Network [OSTI]

    Scheihing, P.

    2014-01-01T23:59:59.000Z

    for Standardization (ISO) published the ISO 50001 energy management standard in 2011. ISO 50001 provides industrial companies with guidelines for integrating energy efficiency into their management practices— including fine-tuning production processes... efficiency. GSEP’s Energy Management Working Group (EMWG) advocates the increased adoption of EnMS or ISO 50001 in industry and commercial buildings. It goal is to accelerate the adoption and use of energy management systems in industrial facilities...

  3. Load Management for Industry

    E-Print Network [OSTI]

    Konsevick, W. J., Jr.

    1982-01-01T23:59:59.000Z

    customer management programs exist. EPRI Report (EM-1606) loads to beneficially alter a'utility's load curve. (Page 1-2) list them as: Load management alternatives are covered. 1. Direct or voluntary control of customer Load management methods can... and Electric Power Research Institute (EPRI) Report energy management programs. (EM-1606) states that "the objective of load manage ment is to alter the real or apparent pattern of Our load management program was designed electricity use in order to...

  4. 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

  5. DualSamplingRate Moving Horizon Control of a Class of Linear Systems with Input Saturation and Plant Uncertainty --

    E-Print Network [OSTI]

    Dual­Sampling­Rate Moving Horizon Control of a Class of Linear Systems with Input Saturation­sampling­rate moving horizon control scheme for a class of linear, continuous­time plants with strict input saturation, it is not computed by a simple linear feedback law, but as a solution of an optimal control problem. As a result

  6. Integral Input-to-State Stability of the Drive-Train of a Wind Turbine Chen Wang and George Weiss

    E-Print Network [OSTI]

    Sontag, Eduardo

    Abstract-- This paper investigates the stability of a variable- speed wind turbine operating under low of the generator torque. We show that the turbine system is integral input-to-state stable. I. INTRODUCTIONIntegral Input-to-State Stability of the Drive-Train of a Wind Turbine Chen Wang and George Weiss

  7. 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

  8. 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

  9. 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

  10. 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

    The U.S. DOE BestPractices Steam "Steam System Assessment Tool" (SSAT) is a powerful tool for quantifying potential steam improvement opportunities in steam systems. However, all assessment tools are only as good as the validity of the modeling...

  11. 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

  12. 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

  13. 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

  14. Contract/Project Management

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

    by FY12. 95% Line Item 85% Cleanup 97% Line Item 85% Cleanup EVM represents Earned Value Management. FY2011 Second Quarter Overall Contract and Project Management Improvement...

  15. Contract/Project Management

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

    by FY12. 95% Line Item 85% Cleanup 100% Line Item 88% Cleanup EVM represents Earned Value Management. FY2011 Fourth Quarter Overall Contract and Project Management Improvement...

  16. Contract/Project Management

    Energy Savers [EERE]

    by FY12. 95% Line Item 85% Cleanup 100% Line Item 88% Cleanup EVM represents Earned Value Management. FY2011 First Quarter Overall Contract and Project Management Performance...

  17. Contract/Project Management

    Energy Savers [EERE]

    by FY12. 95% Line Item 85% Cleanup 97% Line Item 89% Cleanup EVM represents Earned Value Management. FY2011 Third Quarter Overall Contract and Project Management Improvement...

  18. 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.

  19. 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....

  20. 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