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1

CD54AC08, CD74AC08 QUADRUPLE 2-INPUT POSITIVE-AND GATES  

E-Print Network (OSTI)

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

Kretchmar, R. Matthew

2

CD54AC02, CD74AC02 QUADRUPLE 2-INPUT POSITIVE-NOR GATES  

E-Print Network (OSTI)

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

Kretchmar, R. Matthew

3

CD54AC32, CD74AC32 QUADRUPLE 2-INPUT POSITIVE-OR GATES  

E-Print Network (OSTI)

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

Kretchmar, R. Matthew

4

Environmental Transport Input Parameters for the Biosphere Model  

SciTech Connect

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]).

M. Wasiolek

2004-09-10T23:59:59.000Z

5

Inhalation Exposure Input Parameters for the Biosphere Model  

SciTech Connect

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

K. Rautenstrauch

2004-09-10T23:59:59.000Z

6

Environmental Transport Input Parameters for the Biosphere Model  

SciTech Connect

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.

M. A. Wasiolek

2003-06-27T23:59:59.000Z

7

Inhalation Exposure Input Parameters for the Biosphere Model  

SciTech Connect

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]).

M. Wasiolek

2006-06-05T23:59:59.000Z

8

Soil-related Input Parameters for the Biosphere Model  

SciTech Connect

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.

A. J. Smith

2003-07-02T23:59:59.000Z

9

Soil-Related Input Parameters for the Biosphere Model  

SciTech Connect

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).

A. J. Smith

2004-09-09T23:59:59.000Z

10

A new high performance AC to DC rectifier with input power factor correction and harmonic reduction capacity  

E-Print Network (OSTI)

Many conventional switching power supplies in data processing equipment and low power motor drive systems operate by rectifying the input ac line voltage and filtering it with large electrolytic capacitors. Because this process involves both...

Martinez, Roberto

2012-06-07T23:59:59.000Z

11

Input parameters to codes which analyze LMFBR wire-wrapped bundles  

SciTech Connect

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

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

1980-12-01T23:59:59.000Z

12

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

NLE Websites -- All DOE Office Websites (Extended Search)

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

13

A New Ensemble of Perturbed-Input-Parameter Simulations by the Community Atmosphere Model  

SciTech Connect

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.

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

14

Estimation of input parameters in complex simulation using a Gaussian process metamodel  

Science Journals Connector (OSTI)

The unknown input parameters of a simulation code are usually adjusted by the nonlinear least squares estimation (NLSE) method which minimizes the sum of differences between computer responses and real observations. However, when a simulation program is very complex and takes several hours for one execution, the NLSE method may not be computationally feasible. In this case, one may build a statistical metamodel which approximates the complex simulation code. Then this metamodel is used as if it is the true simulation code in the NLSE method, which makes the problem computationally feasible. This approximated NLSE method is described in this article. A Gaussian process model is used as a metamodel of complex simulation code. The proposed method is validated through a toy-model study where the true parameters are known a priori. An application to nuclear fusion device is presented.

Jeong-Soo Park; Jongwoo Jeon

2002-01-01T23:59:59.000Z

15

The scaling of transport AC losses in Roebel cables with varying strand parameters  

Science Journals Connector (OSTI)

A Roebel cable is a good candidate for low-voltage windings in a high-temperature superconductor (HTS) transformer because of its high current-carrying capability and low AC loss. Transport AC loss measurements were carried out in 1.8 m long 15/5 (fifteen 5 mm wide strands) and 15/4 Roebel cables. The results were compared with those in many Roebel cables composed of 2 mm wide Roebel strands. Comparison of the AC losses hinted that the intrinsic difference in normalized transport AC losses is due to differences in the g/w (ratio of the horizontal gap between the Roebel strands over the Roebel strand width) values. The intrinsic difference was confirmed by measuring transport AC loss in a series of horizontally arranged parallel conductor pairs with various g values. A method to scale transport AC losses in Roebel cables with varying strand parameters was developed. The scaling method will be useful for a rough assessment of AC loss in one-layer solenoid winding coils, such as in a HTS transformer.

Zhenan Jiang; Mike Staines; Nicholas J Long; Rodney A Badcock; Chris Bumby; Evgeny Talantsev; Kent Hamilton; Robert G Buckley; Naoyuki Amemiya

2014-01-01T23:59:59.000Z

16

A summary of the sources of input parameter values for the Waste Isolation Pilot Plant final porosity surface calculations  

SciTech Connect

A summary of the input parameter values used in final predictions of closure and waste densification in the Waste Isolation Pilot Plant disposal room is presented, along with supporting references. These predictions are referred to as the final porosity surface data and will be used for WIPP performance calculations supporting the Compliance Certification Application to be submitted to the U.S. Environmental Protection Agency. The report includes tables and list all of the input parameter values, references citing their source, and in some cases references to more complete descriptions of considerations leading to the selection of values.

Butcher, B.M.

1997-08-01T23:59:59.000Z

17

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

E-Print Network (OSTI)

a new hydro data model, WRAP Hydro, developed specifically for the WRAP project. A new method of determining watershed parameters for the Guadalupe basin using the Arc Hydro and WRAP Hydro toolsets is discussed. The parameter processing is done...

Gopalan, Hema

18

On the validity of Akasofus ? parameter and of the Vasyliunas et al. general formula for the rate of solar wind-magnetosphere energy input  

Science Journals Connector (OSTI)

The ? parameter of Akasofu and the general formula of Vasyliunas et al....(1982) have been widely used as functions representing the rate of the solar wind energy input into the Earths magnetosphere. These...B, ...

Takao Aoki

2005-02-01T23:59:59.000Z

19

Design of an input filter for power factor correction (PFC) AC to DC converters employing an active ripple cancellation  

SciTech Connect

An active input filter for power factor correction (PFC) circuit employing ripple current cancellation is proposed to reduce the filter`s size and cost.Switching ripple current can be filtered by an active circuit from the line current. A single stage passive filter with the active filter compensation circuit, a high filter can be synthesized to meet the electromagnetic interference (EMI) and power factor requirements. Analysis of the active filter and design procedure are detailed. Simulation result is presented to verify the high order filter characteristics of proposed scheme.

Lee, D.Y.; Cho, B.H. [Seoul National Univ. (Korea, Republic of). Electrical Engineering Dept.

1996-12-31T23:59:59.000Z

20

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

SciTech Connect

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

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

1994-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Quantification of uncertainty in reservoir simulations influenced by varying input geological parameters, Maria Reservoir, CaHu Field  

E-Print Network (OSTI)

to krig thickness layers, 2) morphology around well 14, 3) shelf edge orientation, 4) bathymetry ranges attributed for each facies, 5) variogram range used to simulate facies distribution, 6) extension of the erosion at top of the reservoir. The parameters...

Schepers, Karine Chrystel

2005-02-17T23:59:59.000Z

22

3.2 DETERMINATION OF INPUT PARAMETERS FOR SIMULATION OF CO2 3.2.1 Introduction  

E-Print Network (OSTI)

The three-phase, three-dimensional, dual-porosity reservoir simulator is a useful tool for analyzing performance of fractured oil reservoirs. However, history matching of dual porosity reservoirs is more many of the parameters are primary permeability, secondary porosity and permeability, and permeability

Schechter, David S.

23

TART input manual  

SciTech Connect

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)

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

1982-04-01T23:59:59.000Z

24

CD54AC04, CD74AC04 HEX INVERTERS  

E-Print Network (OSTI)

°C to 125°C SOIC M Tube CD74AC04M AC04M­55°C to 125°C SOIC ­ M Tape and reel CD74AC04M96 AC04M CDIP-maximum-rated conditions for extended periods may affect device reliability. NOTES: 1. The input and output voltage ratings may be exceeded if the input and output current ratings are observed. 2. The package thermal impedance

Kretchmar, R. Matthew

25

Chai, S.S., Veenendaal,B., West G. and J.P. Walker (2009). Input Parameter Selection for Soil Moisture Retrieval Using an Artificial Neural Network. In: Ostendorf, B., Baldock, P., Bruce, D., Burdett, M. and P. Corcoran (eds.),  

E-Print Network (OSTI)

Moisture Retrieval Using an Artificial Neural Network. In: Ostendorf, B., Baldock, P., Bruce, D., Burdett-0-9581366-8-6. INPUT PARAMETERS SELECTION FOR SOIL MOISTURE RETRIEVAL USING AN ARTIFICIAL NEURAL NETWORK Soo-See Chai 1-linear and ill-posed problem. Artificial Neural Networks (ANNs) have been demonstrated to be good solutions

Walker, Jeff

26

An Urban Parameterization for a Global Climate Model. Part II: Sensitivity to Input Parameters and the Simulated Urban Heat Island in Offline Simulations  

E-Print Network (OSTI)

of the physical processes controlling energy and water fluxes and 2) the charac- terization of urban morphology and urban materials with respect to aerodynamic, radiative, and heat trans- fer properties (e.g., Terjung and ORourke 1980; Arn- field 2000; Masson... by the correlation coefficient), re- sulting in a slight decrease in the RMSE. A decrease in the roof fraction has the opposite effect. The latent heat flux also exhibits relatively small sensitivity to morpho- logical parameters primarily because it is such a small...

Oleson, Keith W.; Bonan, Gordon B.; Feddema, Johannes J.; Vertenstein, M.

2008-01-01T23:59:59.000Z

27

NREL: PVWatts - How to Change Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Change Parameters Change Parameters The PVWattsTM calculator allows users to substitute its default input parameters with custom values. Learn how to change the PVWatts parameters for: DC rating DC-to-AC derate factor Array type Tilt angle Azimuth angle Electricity cost DC Rating The size of a photovoltaic (PV) system is its nameplate DC power rating. This is determined by adding the PV module power listed on the nameplates of the PV modules in watts and then dividing the sum by 1,000 to convert it to kilowatts (kW). PV module power ratings are for standard test conditions (STC) of 1,000 W/m2 solar irradiance and 25°C PV module temperature. The default PV system size is 4 kW. This corresponds to a PV array area of approximately 35 m2 (377 ft2). Caution: For correct results, the DC rating input must be the nameplate DC

28

TRIPLE 3-INPUT POSITIVE-NAND GATES SCHS317 NOVEMBER 2002  

E-Print Network (OSTI)

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

Kretchmar, R. Matthew

29

Refiner Crude Oil Inputs  

NLE Websites -- All DOE Office Websites (Extended Search)

Day) Refiner Percent Operable Utilization Net Inputs (Refiner and Blender) of Motor Gasoline Blending Comp Net Inputs (Refiner and Blender) of RBOB Blending Components Net...

30

Automatic input rectification  

E-Print Network (OSTI)

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

Long, Fan

31

Automatic Input Rectification  

E-Print Network (OSTI)

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

Long, Fan

2011-10-03T23:59:59.000Z

32

Analysis and design of a direct AC to AC matrix converter topology  

E-Print Network (OSTI)

However, the NCC has the following disadvantages, 1. very limited(fow) output frequency range 2. subharmonics are generated at input and output side 3. poor input power factor These disadvantages can be overcome by employing forced commutated bidirec... diode sre connected anti-series. The main objectives of this thesis are summarized as follows, 1. Study and analysis of direct ac to ac matrix power converters. 2. Preseiitation of a new PWM control strategy to selectively eliminate unwanted lower...

Choi, Sewan

2012-06-07T23:59:59.000Z

33

AC Transit  

Energy.gov (U.S. Department of Energy (DOE))

AC Transit (or the Alameda-Contra Costa Transit District) is based in Oakland, California, and provides transportation services to the East Bay of San Francisco. The 360-square-mile service area includes 13 cities and adjacent unincorporated areas in Alameda and Contra Costa counties. AC Transit's approximately 638 vehicles serve more than 65 million annual passengers.

34

The Matrix Converter Drive Performance Under Abnormal Input Voltage Conditions  

E-Print Network (OSTI)

that generates variable magnitude variable frequency output voltage from the ac utility line. It has high power voltage disturbance related performance issues of the MC drive. Since the MC is a direct frequencyThe Matrix Converter Drive Performance Under Abnormal Input Voltage Conditions Jun-Koo Kang

Hava, Ahmet

35

NUPlans Budgeting Grant Input View  

E-Print Network (OSTI)

NUPlans Budgeting Grant Input View FMS704 NUPlansGrantInputViewV2 Last updated 4/7/2014 - rb © 2014 Northwestern University FMS704 NUPlans Contributor Budgeting 1 of 5 NUPlans Grant Input View NUPlans enables schools and units with grant projects to input grant expense estimates per project for the next fiscal

Shull, Kenneth R.

36

Asynchronous Gate-Diffusion----Input (GDI) Circuits Arkadiy Morgenshtein, Michael Moreinis and Ran Ginosar  

E-Print Network (OSTI)

1 Asynchronous Gate-Diffusion----Input (GDI) Circuits Arkadiy Morgenshtein, Michael Moreinis, Israel [ran@ee.technion.ac.il] Abstract: Novel Gate-Diffusion Input (GDI) circuits are applied to asynchronous design. A variety of GDI implementations are compared with typical CMOS asynchronous circuits

Ginosar, Ran

37

Prioritization Tool Measurement Input Form  

Energy.gov (U.S. Department of Energy (DOE))

BTO encourages stakeholders to recommend updates and improvements to the Prioritization Tool by using the below Measure Input Form.

38

System and method for motor parameter estimation  

DOE Patents (OSTI)

A system and method for determining unknown values of certain motor parameters includes a motor input device connectable to an electric motor having associated therewith values for known motor parameters and an unknown value of at least one motor parameter. The motor input device includes a processing unit that receives a first input from the electric motor comprising values for the known motor parameters for the electric motor and receive a second input comprising motor data on a plurality of reference motors, including values for motor parameters corresponding to the known motor parameters of the electric motor and values for motor parameters corresponding to the at least one unknown motor parameter value of the electric motor. The processor determines the unknown value of the at least one motor parameter from the first input and the second input and determines a motor management strategy for the electric motor based thereon.

Luhrs, Bin; Yan, Ting

2014-03-18T23:59:59.000Z

39

,"U.S. Blender Net Input"  

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

Blender Net Input of Residuum (Thousand Barrels)","U.S. Blender Net Input of Gasoline Blending Components (Thousand Barrels)","U.S. Blender Net Input of Reformulated...

40

Digital ac monitor  

DOE Patents (OSTI)

An apparatus and method is provided for monitoring a plurality of analog ac circuits by sampling the voltage and current waveform in each circuit at predetermined intervals, converting the analog current and voltage samples to digital format, storing the digitized current and voltage samples and using the stored digitized current and voltage samples to calculate a variety of electrical parameters; some of which are derived from the stored samples. The non-derived quantities are repeatedly calculated and stored over many separate cycles then averaged. The derived quantities are then calculated at the end of an averaging period. This produces a more accurate reading, especially when averaging over a period in which the power varies over a wide dynamic range. Frequency is measured by timing three cycles of the voltage waveform using the upward zero crossover point as a starting point for a digital timer. 24 figs.

Hart, G.W.; Kern, E.C. Jr.

1987-06-09T23:59:59.000Z

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Accommodation & ACS Advertising Policy  

E-Print Network (OSTI)

Accommodation & Campus Services. ACS Advertising Policy This paper states the University department Accommodation & Campus Services' (ACS) policy on advertising, sponsorship and promotions and any restrictions. Accommodation & Campus Services, the Students' Union, all affiliated bodies and advertisers are expected

Stevenson, Mark

42

ACS-GDCh ALLIANCE  

Science Journals Connector (OSTI)

ACS-GDCh ALLIANCE ... Other aspects of the strategic collaboration alliance will identify additional activities and services that could be mutually beneficial to both ACS and GDCh members, in keeping with both organizations strategic goals. ...

MADELEINE JACOBS

2010-09-20T23:59:59.000Z

43

Fixed Parameter Algorithms Dniel Marx  

E-Print Network (OSTI)

complexity Problem: VERTEX COVER INDEPENDENT SET Input: Graph G, integer k Graph G, integer k Question-complete NP-complete Fixed Parameter Algorithms ­ p.3/40 #12;Parameterized complexity Problem: VERTEX COVER INDEPENDENT SET Input: Graph G, integer k Graph G, integer k Question: Is it possible to cover the edges

Narasayya, Vivek

44

Intermediate inputs and economic productivity  

Science Journals Connector (OSTI)

...US sectoral-level production functions. Both the...316) and plastics and rubber-(326). The relationship...coefficients of the production function sum to a quantity...inputs were used in the production process. 16 This estimate...products 326 plastics and rubber products 327 non-metallic...

2013-01-01T23:59:59.000Z

45

PADD 3 Weekly Inputs & Utilization  

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

Utilization 97.4 95.3 94.8 94.9 95.9 92.2 2010-2015 Refiner and Blender Net Inputs Motor Gasoline Blending Components -2,174 -2,008 -2,012 -2,095 -2,214 -2,291 2004-2015 RBOB -283...

46

Resources Abstracts Input Transaction Form  

E-Print Network (OSTI)

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

District of Columbia, University of the

47

U-132: Apache Wicket Input Validation Flaw in 'wicket:pageMapName'  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2: Apache Wicket Input Validation Flaw in 'wicket:pageMapName' 2: Apache Wicket Input Validation Flaw in 'wicket:pageMapName' Parameter Permits Cross-Site Scripting Attacks U-132: Apache Wicket Input Validation Flaw in 'wicket:pageMapName' Parameter Permits Cross-Site Scripting Attacks March 23, 2012 - 7:42am Addthis PROBLEM: Apache Wicket Input Validation Flaw in 'wicket:pageMapName' Parameter Permits Cross-Site Scripting Attacks PLATFORM: Apache Wicket 1.4.x ABSTRACT: A remote user can conduct cross-site scripting attacks. reference LINKS: Apache Wicket CVE-2012-0047 SecurityTracker Alert ID: 1026839 IMPACT ASSESSMENT: High Discussion: The software does not properly filter HTML code from user-supplied input in the 'wicket:pageMapName' request parameter before displaying the input. A remote user can cause arbitrary scripting code to be executed by the target

48

INTERPRETATION OF AC IMPEDANCE MEASUREMENTS IN SOLIDS* J. Ross Macdonald  

E-Print Network (OSTI)

= INTERPRETATION OF AC IMPEDANCE MEASUREMENTS IN SOLIDS* J. Ross Macdonald Department of Physics Foundation (Grant No. DMR 75-10739). 81 #12;82 PERTINENT PARAMETERS J.R. MACDONALD Figure 1 shows

Macdonald, James Ross

49

Celebrate Earth Day with ACS  

Science Journals Connector (OSTI)

Celebrate Earth Day with ACS ... Winners of the ACS-sponsored Earth Day 2004 music video contest are reported. ... ACS resources for celebrating the Earth Day 2005 theme, "AirHere, There, Everywhere", are discussed. ...

Erica K. Jacobsen

2005-03-01T23:59:59.000Z

50

Code input alternatives John C. Wright  

E-Print Network (OSTI)

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

Wright, John C.

51

Microfabricated AC impedance sensor  

DOE Patents (OSTI)

A microfabricated instrument for detecting and identifying cells and other particles based on alternating current (AC) impedance measurements. The microfabricated AC impedance sensor includes two critical elements: 1) a microfluidic chip, preferably of glass substrates, having at least one microchannel therein and with electrodes patterned on both substrates, and 2) electrical circuits that connect to the electrodes on the microfluidic chip and detect signals associated with particles traveling down the microchannels. These circuits enable multiple AC impedance measurements of individual particles at high throughput rates with sufficient resolution to identify different particle and cell types as appropriate for environmental detection and clinical diagnostic applications.

Krulevitch, Peter (Pleasanton, CA); Ackler, Harold D. (Sunnyvale, CA); Becker, Frederick (Houston, TX); Boser, Bernhard E. (Berkeley, CA); Eldredge, Adam B. (Austin, TX); Fuller, Christopher K. (Livermore, CA); Gascoyne, Peter R. C. (Bellaire, TX); Hamilton, Julie K. (Tracy, CA); Swierkowski, Stefan P. (Livermore, CA); Wang, Xiao-Bo (San Diego, CA)

2002-01-01T23:59:59.000Z

52

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

E-Print Network (OSTI)

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

Raffray, A. René

53

Optimal design of AC filter circuits in HVDC converter stations  

SciTech Connect

This paper investigates the reactive power as well as the harmonic conditions on both the valve and the AC-network sides of a HVDC converter station. The effect of the AC filter circuits is accurately modeled. The program is then augmented by adding an optimization routine. It can identify the optimal filter configuration, yielding the minimum current distortion factor at the AC network terminals for a prespecified fundamental reactive power to be provided by the filter. Several parameter studies were also conducted to illustrate the effect of accidental or intentional deletion of one of the filter branches.

Saied, M.M.; Khader, S.A. [Kuwait Univ. (Kuwait). Electrical and Computer Engineering Dept.

1995-12-31T23:59:59.000Z

54

WIPP Compliance Certification Application calculations parameters. Part 1: Parameter development  

SciTech Connect

The Waste Isolation Pilot Plant (WIPP) in southeast New Mexico has been studied as a transuranic waste repository for the past 23 years. During this time, an extensive site characterization, design, construction, and experimental program was completed, which provided in-depth understanding of the dominant processes that are most likely to influence the containment of radionuclides for 10,000 years. Nearly 1,500 parameters were developed using information gathered from this program; the parameters were input to numerical models for WIPP Compliance Certification Application (CCA) Performance Assessment (PA) calculations. The CCA probabilistic codes frequently require input values that define a statistical distribution for each parameter. Developing parameter distributions begins with the assignment of an appropriate distribution type, which is dependent on the type, magnitude, and volume of data or information available. The development of the parameter distribution values may require interpretation or statistical analysis of raw data, combining raw data with literature values, scaling of lab or field data to fit code grid mesh sizes, or other transformation. Parameter development and documentation of the development process were very complicated, especially for those parameters based on empirical data; they required the integration of information from Sandia National Laboratories (SNL) code sponsors, parameter task leaders (PTLs), performance assessment analysts (PAAs), and experimental principal investigators (PIs). This paper, Part 1 of two parts, contains a discussion of the parameter development process, roles and responsibilities, and lessons learned. Part 2 will discuss parameter documentation, traceability and retrievability, and lessons learned from related audits and reviews.

Howarth, S.M.

1997-11-14T23:59:59.000Z

55

Energy Input Output Calculator | Open Energy Information  

Open Energy Info (EERE)

Input Output Calculator Input Output Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Input-Output Calculator Agency/Company /Organization: Department of Energy Sector: Energy Focus Area: Energy Efficiency Resource Type: Online calculator User Interface: Website Website: www2.eere.energy.gov/analysis/iocalc/Default.aspx Web Application Link: www2.eere.energy.gov/analysis/iocalc/Default.aspx OpenEI Keyword(s): Energy Efficiency and Renewable Energy (EERE) Tools Language: English References: EERE Energy Input-Output Calculator[1] The Energy Input-Output Calculator (IO Calculator) allows users to estimate the economic development impacts from investments in alternate electricity generating technologies. About the Calculator The Energy Input-Output Calculator (IO Calculator) allows users to estimate

56

T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' 8: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks August 22, 2011 - 3:54pm Addthis PROBLEM: A vulnerability was reported in Adobe ColdFusion. A remote user can conduct cross-site scripting attacks. PLATFORM: Adobe ColdFusion 9.x ABSTRACT: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks. reference LINKS: Adobe Vulnerability Report Adobe Security Bulletin ColdFusion Support SecurityTracker Alert ID: 1025957 IMPACT ASSESSMENT: Medium Discussion: The 'probe.cfm' script does not properly filter HTML code from user-supplied input in the 'name' parameter before displaying the input. A remote user can create a specially crafted URL that, when loaded by a

57

T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' 8: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks August 22, 2011 - 3:54pm Addthis PROBLEM: A vulnerability was reported in Adobe ColdFusion. A remote user can conduct cross-site scripting attacks. PLATFORM: Adobe ColdFusion 9.x ABSTRACT: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks. reference LINKS: Adobe Vulnerability Report Adobe Security Bulletin ColdFusion Support SecurityTracker Alert ID: 1025957 IMPACT ASSESSMENT: Medium Discussion: The 'probe.cfm' script does not properly filter HTML code from user-supplied input in the 'name' parameter before displaying the input. A remote user can create a specially crafted URL that, when loaded by a

58

ACS | Open Energy Information  

Open Energy Info (EERE)

ACS ACS Jump to: navigation, search Name ACS Place Madrid, Spain Zip 28036 Sector Solar Product Madrid based construction company involved in the development of solar thermal projects. Coordinates 40.4203°, -3.705774° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.4203,"lon":-3.705774,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

59

AC | OpenEI  

Open Energy Info (EERE)

AC AC Dataset Summary Description The following data-set is for a benchmark residential home for all TMY3 locations across all utilities in the US. The data is indexed by utility service provider which is described by its "unique" EIA ID ( Source National Renewable Energy Laboratory Date Released April 05th, 2012 (2 years ago) Date Updated April 06th, 2012 (2 years ago) Keywords AC apartment CFL coffeemaker Computer cooling cost demand Dishwasher Dryer Furnace gas HVAC Incandescent Laptop load Microwave model NREL Residential television tmy3 URDB Data text/csv icon Residential Cost Data for Common Household Items (csv, 14.5 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL)

60

ETA-AC002  

NLE Websites -- All DOE Office Websites (Extended Search)

2 2 Revision 2 Effective March 1, 1997 "Control of Test Conduct" Prepared by Electric Transportation Applications Prepared by: _______________________________ Date:__________ Jude M. Clark Approved by: _________________________________________________ Date: _______________ Donald B. Karner Procedure ETA-AC002 Revision 2 2 ©1997 Electric Transportation Applications All Rights Reserved TABLE OF CONTENTS 1.0 Objectives 3 2.0 Purpose 3 3.0 Documentation 3 4.0 Initial Conditions and Prerequisites 4 5.0 Personnel Qualifications 5 6.0 Activity Requirements 6 7.0 Supplemental Activity Requirements 8 8.0 Glossary 9 9.0 References 10 Procedure ETA-AC002 Revision 2 3 ©1997

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

ETA-AC006  

NLE Websites -- All DOE Office Websites (Extended Search)

6 6 Revision 2 Effective: March 1, 1997 Vehicle Verification Prepared by Electric Transportation Applications Prepared by: _______________________________ Date:__________ Jude M. Clark Approved by: _________________________________________________ Date: ______________ Donald B. Karner ETA-AC006 Revision 2 2 ©1997 Electric Transportation Applications All Rights Reserved TABLE OF CONTENTS 1.0 Objectives 3 2.0 Purpose 3 3.0 Documentation 3 4.0 Initial Conditions and Prerequisites 4 5.0 Verification Requirements 5 6.0 Glossary 11 7.0 References 12 Appendices Appendix A - Manufacturer's Proposal Review Check List 13 Appendix B - Vehicle Receipt Check List 18 ETA-AC006 Revision 2 3

62

National Climate Assessment: Available Technical Inputs  

NLE Websites -- All DOE Office Websites (Extended Search)

Available Technical Inputs Print E-mail Available Technical Inputs Print E-mail Technical inputs for the 2013 National Climate Assessment were due March 1, 2012. Please note that these reports were submitted independently to the National Climate Assessment for consideration and have not been reviewed by the National Climate Assessment Development and Advisory Committee. Links to agency-sponsored reports will be posted here as they are made available. Sectors National Climate Assessment Health Sector Literature Review and Bibliography. Technical Input for the Interagency Climate Change and Human Health Group, September 2012. Overview Bibliography Bibliography User's Guide Search Strategy and Results Walthall et al. 2012. Climate Change and Agriculture in the United States: Effects and Adaptation. USDA Technical Bulletin 1935. Washington, DC. 186 pages. | Report FAQs

63

Evaluation of boolean formulas with restricted inputs  

E-Print Network (OSTI)

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

Zhan, Bohua

2010-01-01T23:59:59.000Z

64

Generation of RTL verification input stimulus  

E-Print Network (OSTI)

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...

Selvarathinam, Anand Manivannan

2012-06-07T23:59:59.000Z

65

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

9: Cisco Network Admission Control Input Validation Flaw Lets 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 SQL Commands April 21, 2013 - 11:50pm Addthis PROBLEM: Cisco Network Admission Control Input Validation Flaw Lets Remote Users Inject SQL Commands PLATFORM: Cisco NAC Manager versions prior to 4.8.3.1 and 4.9.2 ABSTRACT: A vulnerability was reported in Cisco Network Admission Control. REFERENCE LINKS: SecurityTracker Alert ID: 1028451 Cisco Advisory ID: cisco-sa-20130417-nac CVE-2013-1177 IMPACT ASSESSMENT: High DISCUSSION: The Cisco Network Admission Control (NAC) Manager does not properly validate user-supplied input. A remote user can supply a specially crafted parameter value to execute SQL commands on the underlying database.

66

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

93: Barracuda SSL VPN Input Validation Hole Permits Cross-Site 93: Barracuda SSL VPN Input Validation Hole Permits Cross-Site Scripting Attacks V-193: Barracuda SSL VPN Input Validation Hole Permits Cross-Site Scripting Attacks July 5, 2013 - 6:00am Addthis PROBLEM: A vulnerability was reported in Barracuda SSL VPN PLATFORM: Version(s) prior to 2.3.3.216 ABSTRACT: Several scripts do not properly filter HTML code from user-supplied input before displaying the input via several parameters REFERENCE LINKS: SecurityTracker Alert ID: 1028736 Barracuda SSL VPN Release Notes Zero Science Lab IMPACT ASSESSMENT: Medium DISCUSSION: The code will originate from the Barracuda SSL VPN interface and will run in the security context of that site. As a result, the code will be able to access the target user's cookies (including authentication cookies), if

67

U-195: PHPlist Input Validation Flaws Permit Cross-Site Scripting and SQL  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

5: PHPlist Input Validation Flaws Permit Cross-Site Scripting 5: PHPlist Input Validation Flaws Permit Cross-Site Scripting and SQL Injection Attacks U-195: PHPlist Input Validation Flaws Permit Cross-Site Scripting and SQL Injection Attacks June 20, 2012 - 7:00am Addthis PROBLEM: Two vulnerabilities were reported in PHPlist. A remote user can conduct cross-site scripting attacks. A remote authenticated user can inject SQL commands. PLATFORM: Version(s): prior to 2.10.18 ABSTRACT: 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. REFERENCE LINKS: Vendor Advisory Security Tracker ID 1027181 CVE-2012-2740, CVE-2012-2741

68

Energy Input per Unit Length High Accuracy Kinematic Metrology in Laser Material Processing  

Science Journals Connector (OSTI)

Laser material processes require constant energy input per unit length. Besides focal z-position, spot size, laser power and other process parameters, the relative travel speed (feed rate) of the laser spot on the work piece has the highest influence on the resulting energy input per unit length. In this paper a new metrology method is introduced, which enables users in industry and research to measure the real travel speed of the laser spot and the resulting contour of the trajectory.

Christoph Franz; Peter Abels; Raphael Rolser; Michael Becker

2011-01-01T23:59:59.000Z

69

Direct amplitude detuning measurement with ac dipole  

In circular machines, nonlinear dynamics can impact parameters such as beam lifetime and could result in limitations on the performance reach of the accelerator. Assessing and understanding these effects in experiments is essential to confirm the accuracy of the magnetic model and improve the machine performance. A direct measurement of the machine nonlinearities can be obtained by characterizing the dependency of the tune as a function of the amplitude of oscillations (usually defined as amplitude detuning). The conventional technique is to excite the beam to large amplitudes with a single kick and derive the tune from turn-by-turn data acquired with beam position monitors. Although this provides a very precise tune measurement it has the significant disadvantage of being destructive. An alternative, nondestructive way of exciting large amplitude oscillations is to use an ac dipole. The perturbation Hamiltonian in the presence of an ac dipole excitation shows a distinct behavior compared to the free oscillations which should be correctly taken into account in the interpretation of experimental data. The use of an ac dipole for direct amplitude detuning measurement requires careful data processing allowing one to observe the natural tune of the machine; the feasibility of such a measurement is demonstrated using experimental data from the Large Hadron Collider. An experimental proof of the theoretical derivations based on measurements performed at injection energy is provided as well as an application of this technique at top energy using a large number of excitations on the same beam.

White, S.; Maclean, E.; Toms, R.

2013-07-01T23:59:59.000Z

70

Total Blender Net Input of Petroleum Products  

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

Input Input Product: Total Input Natural Gas Plant Liquids and Liquefied Refinery Gases Pentanes Plus Liquid Petroleum Gases Normal Butane Isobutane Other Liquids Oxygenates/Renewables Methyl Tertiary Butyl Ether (MTBE) Renewable Fuels (incl. Fuel Ethanol) Fuel Ethanol Renewable Diesel Fuel Other Renewable Fuels Unfinished Oils (net) Unfinished Oils, Naphthas and Lighter Unfinished Oils, Kerosene and Light Gas Oils Unfinished Oils, Heavy Gas Oils Residuum Motor Gasoline Blending Components (MGBC) (net) MGBC - Reformulated MGBC - Reformulated - RBOB MGBC - Reformulated, RBOB for Blending w/ Alcohol MGBC - Reformulated, RBOB for Blending w/ Ether MGBC - Reformulated, GTAB MGBC - Conventional MGBC - Conventional, CBOB MGBC - Conventional, GTAB MGBC - Other Conventional Period-Unit: Monthly-Thousand Barrels Monthly-Thousand Barrels per Day Annual-Thousand Barrels Annual-Thousand Barrels per Day

71

Opportunities for Public Input Into DOE Projects  

NLE Websites -- All DOE Office Websites (Extended Search)

Opportunities for Public Input Into DOE Projects Opportunities for Public Input Into DOE Projects There are currently several DOE-proposed activities that citizens can comment on in the near future. Here is a summary of each, as well as a description of how to provide your input into the project: Hanford Draft Closure and Waste Management Environmental Impact Statement Idahoans might be interested in this document because one of the proposed actions involves sending a small amount of radioactive waste (approximately 5 cubic meters of special reactor components) to the Idaho Nuclear Technology and Engineering Center on DOE's Idaho Site for treatment. Here is a link to more information about the document: http://www.hanford.gov . A public hearing on the draft EIS will be held in Boise on Tuesday, Feb. 2 at the Owyhee Plaza Hotel. It begins at 6 p.m.

72

Wind Levelized Cost of Energy: A Comparison of Technical and Financing Input Variables  

NLE Websites -- All DOE Office Websites (Extended Search)

1 1 October 2009 Wind Levelized Cost of Energy: A Comparison of Technical and Financing Input Variables Karlynn Cory and Paul Schwabe National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Technical Report NREL/TP-6A2-46671 October 2009 Wind Levelized Cost of Energy: A Comparison of Technical and Financing Input Variables Karlynn Cory and Paul Schwabe Prepared under Task No. WER9.3550 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government.

73

Updated U.S. Geothermal Supply Characterization and Representation for Market Penetration Model Input  

NLE Websites -- All DOE Office Websites (Extended Search)

Updated U.S. Geothermal Updated U.S. Geothermal Supply Characterization and Representation for Market Penetration Model Input C. Augustine Technical Report NREL/TP-6A20-47459 October 2011 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Updated U.S. Geothermal Supply Characterization and Representation for Market Penetration Model Input C. Augustine Prepared under Task No. GT09.3002 Technical Report NREL/TP-6A20-47459 October 2011 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government.

74

Watfactory Virtual Manufacturing Process Varying Inputs  

E-Print Network (OSTI)

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

Zhu, Mu

75

Automatic interpretation of loosely encoded input  

Science Journals Connector (OSTI)

Knowledge-based systems are often brittle when given unanticipated input, i.e. assertions or queries that misalign with the ontology of the knowledge base. We call such misalignments ''loose speak''. We found that loose speak occurs frequently in interactions ... Keywords: Knowledge based systems, Metonymy, Noun compound, Question answering

James Fan; Ken Barker; Bruce Porter

2009-02-01T23:59:59.000Z

76

U.S. Weekly Inputs & Utilization  

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

Utilization 95.4 93.5 93.5 94.4 93.9 91 1990-2015 Refiner and Blender Net Inputs Motor Gasoline Blending Components 8 234 445 192 -558 -219 2004-2015 RBOB 167 330 371 103 9 261...

77

Contractive Systems with Inputs Eduardo D. Sontag  

E-Print Network (OSTI)

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

Sontag, Eduardo

78

Green Computing input for better outcomes  

E-Print Network (OSTI)

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

Amir, Yair

79

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

80

Dale Meade regarding input international collaboration panel  

E-Print Network (OSTI)

Dale Meade regarding input international collaboration panel 1 message Saskia to add 2 comments to this discussion: 1. This regards not only international collaborations, but also national collaborations. We need to decide on using 1 video conferencing system. One of the main

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Alternative Fuels at AC Transit  

NLE Websites -- All DOE Office Websites (Extended Search)

Alternative Fuels at AC Transit Alternative Fuels at AC Transit Speaker(s): Jaimie Levin Date: November 1, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Eve Edelson Mr. Levin will discuss AC Transit's range of environmental technology initiatives, including: zero emission fuel cell transit buses; state-of-the-art, high-capacity, hydrogen fueling stations; solar energy systems; and stationary solid oxide fuel cell power generators. AC Transit has the largest fleet of fuel cell buses in the United States, featuring fuel cell systems with more than 10,000 hours of continuous operation without any failures or power degradation. Their fuel cell fleet has logged more than 400,000 miles of service and carried in excess of one million passengers. Come hear what AC Transit has learned, where they're headed,

82

AC resistance measuring instrument  

DOE Patents (OSTI)

An auto-ranging AC resistance measuring instrument for remote measurement of the resistance of an electrical device or circuit connected to the instrument includes a signal generator which generates an AC excitation signal for application to a load, including the device and the transmission line, a monitoring circuit which provides a digitally encoded signal representing the voltage across the load, and a microprocessor which operates under program control to provide an auto-ranging function by which range resistance is connected in circuit with the load to limit the load voltage to an acceptable range for the instrument, and an auto-compensating function by which compensating capacitance is connected in shunt with the range resistance to compensate for the effects of line capacitance. After the auto-ranging and auto-compensation functions are complete, the microprocessor calculates the resistance of the load from the selected range resistance, the excitation signal, and the load voltage signal, and displays of the measured resistance on a digital display of the instrument. 8 figs.

Hof, P.J.

1983-10-04T23:59:59.000Z

83

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

84

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

Energy Savers (EERE)

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

85

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

Energy.gov (U.S. Department of Energy (DOE)) 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...

86

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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...

87

AC Ion Current Interface.  

E-Print Network (OSTI)

?? An effective way to extract combustion parameters from a spark ignited engine is to measure the level of ionization. One way to do this (more)

Nilsson, Johan

2009-01-01T23:59:59.000Z

88

Breathing HRV by the Concept of AC Ventilation  

NLE Websites -- All DOE Office Websites (Extended Search)

Breathing HRV by the Concept of AC Ventilation Breathing HRV by the Concept of AC Ventilation Speaker(s): Hwataik Han Date: July 10, 2007 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Thomas McKone Heat recovery ventilators are frequently used to save heating/cooling loads of buildings for ventilation. There are several types of HRV's, including a parallel plate type, a rotary type, a capillary type, and a heat pipe type. The breathing HRV is a heat recovery ventilator of a new kind using the concept of alternating-current ventilation. The AC ventilation is the ventilation with the airflow directions reversed periodically. It has an advantage of using a single duct system, for both supply and exhaust purposes. In order to develop a breathing HRV system, the thermal recovery performance should be investigated depending on many parameters, such as

89

Application of computer voice input/output  

SciTech Connect

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

Ford, W.; Shirk, D.G.

1981-01-01T23:59:59.000Z

90

Generalized Input-Output Inequality Systems  

SciTech Connect

In this paper two types of generalized Leontief input-output inequality systems are introduced. The minimax properties for a class of functions associated with the inequalities are studied. Sufficient and necessary conditions for the inequality systems to have solutions are obtained in terms of the minimax value. Stability analysis for the solution set is provided in terms of upper semi-continuity and hemi-continuity of set-valued maps.

Liu Yingfan [Department of Mathematics, Nanjing University of Post and Telecommunications, Nanjing 210009 (China)], E-mail: yingfanliu@hotmail.com; Zhang Qinghong [Department of Mathematics and Computer Science, Northern Michigan University, Marquette, MI 49855 (United States)], E-mail: qzhang@nmu.edu

2006-09-15T23:59:59.000Z

91

MEaSUREs products Project PI ESDR Parameter(s) Generated Period(s) covered Input data and sources Discipline  

E-Print Network (OSTI)

and Oceanographic Applications Atlas, Robert High resolution (25km, every 6-hours) global ocean surface winds from of trace gases and aerosol properties. 1985-present Airborne field campaign data sets Atmospheric And Related trace gas Data records for the Stratosphere (GOZCARDS) Froidevaux, Lucien Zonal (mostly monthly

Christian, Eric

92

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

E-Print Network (OSTI)

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

93

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

E-Print Network (OSTI)

: : : : : : : : : : : : : : : : : : : : : : : : : : : 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...

Corson, James

2011-08-08T23:59:59.000Z

94

On the Wind Power Input to the Ocean General Circulation  

E-Print Network (OSTI)

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 ...

Zhai, Xiaoming

95

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

SciTech Connect

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

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

1986-12-01T23:59:59.000Z

96

,"U.S. Refinery Crude Oil Input Qualities"  

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

Sulfur Content (Weighted Average) of Crude Oil Input to Refineries (Percent)","U.S. API Gravity (Weighted Average) of Crude Oil Input to Refineries (Degrees)" 31062,0.88,32.64...

97

,"U.S. Refinery Crude Oil Input Qualities"  

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

Sulfur Content (Weighted Average) of Crude Oil Input to Refineries (Percent)","U.S. API Gravity (Weighted Average) of Crude Oil Input to Refineries (Degrees)" 31228,0.91,32.46...

98

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

E-Print Network (OSTI)

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

Eeckhout, Lieven

99

A system for tranmitting low frequency analog signals over ac power lines  

DOE Patents (OSTI)

A system for transmitting low frequency analog signals over ac power lines using FM modulation. A low frequency analog signal to be transmitted is first applied to a voltage-to-frequency converter where it is converted to a signal whose frequency varies in proportion to the analog signal amplitude. This signal is then used to modulate the carrier frequency of an FM transmitter coupled to an ac power line. The modulation signal frequency range is selected to be within the response band of the FM transmitter. The FM modulated carrier signal is received by an FM receiver coupled to the ac power line, demodulated and the demodulated signal frequency is converted by a frequency-to-voltage converter back to the form of the original low frequency analog input signal. 4 figs.

Baker, S.P.; Durall, R.L.; Haynes, H.D.

1987-07-30T23:59:59.000Z

100

System for transmitting low frequency analog signals over AC power lines  

DOE Patents (OSTI)

A system for transmitting low frequency analog signals over AC power lines using FM modulation. A low frequency analog signal to be transmitted is first applied to a voltage-to-frequency converter where it is converted to a signal whose frequency varies in proportion to the analog signal amplitude. This signal is then used to modulate the carrier frequency of an FM transmitter coupled to an AC power line. The modulation signal frequency range in selected to be within the response band of the FM transmitter. The FM modulated carrier signal is received by an FM receiver coupled to the AC power line, demodulated and the demodulated signal frequency is converted by a frequency-to-voltage converter back to the form of the original low frequency analog input signal.

Baker, Steven P. (Powell, TN); Durall, Robert L. (Lenoir City, TN); Haynes, Howard D. (Knoxville, TN)

1989-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

ACS calibration pipeline testing: error propagation  

E-Print Network (OSTI)

1 ACS calibration pipeline testing: error propagation Doug Van Orsow, Max Mutchler, Warren Hack files (see ISRs 99-03 "CALACS Operation and Implementation" by Hack and 99-04 "ACS calibra- tion

Sirianni, Marco

102

ACS SYMPOSIUM SERIES 966 Rational Environmental  

E-Print Network (OSTI)

ACS SYMPOSIUM SERIES 966 Rational Environmental Management of Agrochemicals Risk Assessment-Bayo, Editor Chiha University Sponsored by the ACS Division of Agrochemicals American Chemical Society of agrochemicals : risk assessment, monitoring, and remedial action / Ivan R. Kennedy, editor. ..[et al

Hammock, Bruce D.

103

ACS_RRA_2001.PDF  

NLE Websites -- All DOE Office Websites (Extended Search)

Qualitative and Semi-quantitative Qualitative and Semi-quantitative Analysis Of Semi-volatile Organics from Ambient Air Fine-particulate Matter, PM 2.5 Richard Anderson, Don Martello, Brian R. Strazisar and Curt M. White richard.anderson@netl.doe.gov ACS-222 / RRA' / ST-10 / 8-28-2001 Different Missions * EPA - Protect the public health * DOE - Assist the private sector in supplying clean, abundant, and affordable energy ACS-222 / RRA' / ST-10 / 8-28-2001 PM 2.5 Regulatory Process * 1997 National Ambient Air Quality Standards (NAAQS) for PM 2.5 based on "health effects" - Mean annual concentration < 15 µg/m 3 - Maximum concentration < 65µg/ m 3 ACS-222 / RRA' / ST-10 / 8-28-2001 Why Is DOE Concerned About PM 2.5 ? * Coal-based power systems contribute to PM 2.5 - Primary particles * Ultra-fine fly-ash (Spherical Alumino-silicates,SAS), carbon soot

104

ARM - Evaluation Product - Radiatively Important Parameters Best Estimate  

NLE Websites -- All DOE Office Websites (Extended Search)

ProductsRadiatively Important Parameters Best ProductsRadiatively Important Parameters Best Estimate (RIPBE) Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Radiatively Important Parameters Best Estimate (RIPBE) 2002.03.01 - 2007.06.30 Site(s) SGP General Description The Radiatively Important Parameters Best Estimate (RIPBE) VAP combines multiple input datastreams, each with their own temporal and vertical resolution, to create a complete set of radiatively important parameters on a uniform vertical and temporal grid with quality control and source information for use as input to a radiative transfer model. One of the main drivers for RIPBE was to create input files for the BroadBand Heating Rate Profiles (BBHRP) VAP, but we also envision use of RIPBE files for user-run

105

U.S. Blender Net Input  

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

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Total Input 1,184,435 1,522,193 1,850,204 2,166,784 2,331,109 2,399,318 2005-2012 Natural Gas Plant Liquids and Liquefied Refinery Gases 3,445 5,686 6,538 7,810 10,663 2008-2012 Pentanes Plus 2,012 474 1,808 1,989 2,326 4,164 2005-2012 Liquid Petroleum Gases 2,971 3,878 4,549 5,484 6,499 2008-2012 Normal Butane 2,943 2,971 3,878 4,549 5,484 6,499 2005-2012 Isobutane 2005-2006 Other Liquids 1,518,748 1,844,518 2,160,246 2,323,299 2,388,655 2008-2012 Oxygenates/Renewables 234,047 274,974 286,837 295,004 2009-2012 Methyl Tertiary Butyl Ether (MTBE) 2005-2006 Renewable Fuels (incl. Fuel Ethanol) 234,047 274,974 286,837 295,004 2009-2012 Fuel Ethanol 131,810 182,772 232,677 273,107 281,507 287,433 2005-2012

106

U.S. Blender Net Input  

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

Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Total Input 206,541 217,867 212,114 216,075 219,783 208,203 2005-2013 Natural Gas Plant Liquids and Liquefied Refinery Gases 891 352 376 196 383 1,397 2008-2013 Pentanes Plus 261 301 313 67 287 393 2005-2013 Liquid Petroleum Gases 630 51 63 129 96 1,004 2008-2013 Normal Butane 630 51 63 129 96 1,004 2005-2013 Isobutane 2005-2006 Other Liquids 205,650 217,515 211,738 215,879 219,400 206,806 2008-2013 Oxygenates/Renewables 25,156 26,576 26,253 26,905 27,788 25,795 2009-2013 Methyl Tertiary Butyl Ether (MTBE) 2005-2006 Renewable Fuels (incl. Fuel Ethanol) 25,156 26,576 26,253 26,905 27,788 25,795 2009-2013 Fuel Ethanol 24,163 25,526 24,804 25,491 25,970 24,116 2005-2013

107

Parameter Estimation of the Hybrid Censored Log-Normal Distribution  

E-Print Network (OSTI)

, Pin 560035, India. SQC & OR Unit, Indian Statistical Institute, 203 B.T. Road, Kolkata, Pin 700108, India. Corresponding author, e-mail: bis@isical.ac.in Department of Mathematics and Statistics, Indian of the exponential parameter. Drapper and Guttmann [7] also considered the same problem but from the Bayesian point

Kundu, Debasis

108

Simulator Building and Parameter Optimization of an Autonomous Robotic Fish  

E-Print Network (OSTI)

Simulator Building and Parameter Optimization of an Autonomous Robotic Fish Jindong Liu, Huosheng@essex.ac.uk Abstract-- This paper presents a short review on the research of robotic fish. A simulation environment for robotic fish is built and the experiment shows that it is a convenient way to make research on the robotic

Hu, Huosheng

109

Optimizing Nested Queries with Parameter Sort Orders Ravindra Guravannavar  

E-Print Network (OSTI)

Optimizing Nested Queries with Parameter Sort Orders Ravindra Guravannavar Ramanujam H.s@sybase.com Indian Institute of Technology Bombay sudarsha@cse.iitb.ac.in Abstract Nested iteration is an important technique for query evaluation. It is the default way of execut- ing nested subqueries in SQL. Although

Sudarshan, S.

110

Development and application of setup for ac magnetic field in neutron scattering experiments  

SciTech Connect

We report on a new setup developed for neutron scattering experiments in periodically alternating magnetic fields at the sample position. The assembly consisting of rf generator, amplifier, wide band transformer, and resonance circuit. It allows to generate homogeneous ac magnetic fields over a volume of a few cm{sup 3} and variable within a wide range of amplitudes and frequencies. The applicability of the device is exemplified by ac polarized neutron reflectometry (PNR): a new method established to probe remagnetization kinetics in soft ferromagnetic films. Test experiments with iron films demonstrate that the ac field within the accessible range of frequencies and amplitudes produces a dramatic effect on the PNR signal. This shows that the relevant ac field parameters generated by the device match well with the scales involved in the remagnetization processes. Other possible applications of the rf unit are briefly discussed.

Klimko, Sergey [Laboratoire Leon Brillouin, 91191 Gif-sur-Yvette (France); Zhernenkov, Kirill; Toperverg, Boris P.; Zabel, Hartmut [Institut fuer Festkoerperphys IV, Ruhr Universitaet Bochum, D-44780 Bochum (Germany)

2010-10-15T23:59:59.000Z

111

M2ACS | M2ACS Web Space  

NLE Websites -- All DOE Office Websites (Extended Search)

Welcome to the Multifaceted Mathematics for Complex Energy Systems (M2ACS) Welcome to the Multifaceted Mathematics for Complex Energy Systems (M2ACS) project webspace We are a multi-institution project whose aim is to fully explore the opportunities in applied mathematics brought about by multi-disciplinary focus - involving optimization, dynamical systems, stochastic analysis, discrete mathematics, scalable algorithms - on the DOE Grand Challenge of energy systems. The central research concept is the one of multi-faceted mathematics - whereby new mathematics is discovered by sustained investigation of the multiple facets presented by the grand challenge subproblems, such as nonconvexity, stochasticity, integrality, spatio-temporal variability - from the perspective of all the mathematics discipline area involved. Our project involves 22 principal investigators from 3 national

112

Mercury/Waterfilling: Optimum Power Allocation with Arbitrary Input Constellations  

E-Print Network (OSTI)

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

Verdú, Sergio

113

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

114

,"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:","1031...

115

High-frequency equivalent model of AC motor for electric vehicle drive system  

Science Journals Connector (OSTI)

The application of the motor drive system in electric and hybrid-electric vehicles can lead to a significant increase in electromagnetic compatibility. The AC motor as an important part of motor drive system must be considered. In this paper, a high frequency modelling method of the AC motor is presented. The modelling method consists of deriving the motor model parameters from mathematical resolution of the electrical circuit equations and observation of the variations of the motor impedance with the frequency. All parameters of the proposed models are obtained by differential mode (DM) and common mode (CM) impedance measurement in the frequency domain. The model is verified by impedance measurement of a synchronous motor. The method proposed can be used to obtain a high-frequency equivalent circuit of an AC motor and predict conducted electromagnetic interference in a motor drive system.

Yongming Yang; Hemeng Peng; Quandi Wang

2013-01-01T23:59:59.000Z

116

Performance Measures For Input Shaping and Command Generation  

E-Print Network (OSTI)

Performance Measures For Input Shaping and Command Generation Kris Kozak Department of Precision performance measures for input shaping and command generation have appeared in the literature, but very rarely have these measures been critically evaluated or thoroughly discussed. In this paper we review

Singhose, William

117

Univariate input models for stochastic simulation , NM Steiger4  

E-Print Network (OSTI)

of the continuous univariate probabilistic input processes that drive discrete-event simulation experiments that accu- rately mimic the behaviour of the random input processes driving the system under study. Often the following interrelated difficulties arise in attempts to use standard distribution families for simulation

118

ANALOG-DIGITAL INPUT OUTPUT SYSTEM FOR APPLE CO  

E-Print Network (OSTI)

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

Groppi, Christopher

119

Soft-Input Soft-Output Sphere Decoding Christoph Studer  

E-Print Network (OSTI)

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

120

Link: exploiting the web of data to generate test inputs  

Science Journals Connector (OSTI)

Applications that process complex data, such as maps, personal data, book information, travel data, etc., are becoming extremely common. Testing such applications is hard, because they require realistic and coherent test inputs that are expensive to ... Keywords: System testing, Web of data, realistic test input

Leonardo Mariani; Mauro Pezz; Oliviero Riganelli; Mauro Santoro

2014-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

The AC Stark E#ect, Time--Dependent Born--Oppenheimer Approximation, and  

E-Print Network (OSTI)

The AC Stark E#ect, Time--Dependent Born--Oppenheimer Approximation, and Franck--Condon Factors by a classical oscillatory electric field, and we employ the Born--Oppenheimer approximation for the molecule. We-- Condon factors that we compute explicitly to leading order in the Born--Oppenheimer parameter. We also

Rousse, Vidian

122

T-623: HP Business Availability Center Input Validation Hole Permits  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

3: HP Business Availability Center Input Validation Hole 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 Scripting Attacks May 16, 2011 - 3:05pm Addthis PROBLEM: A vulnerability was reported in HP Business Availability Center. A remote user can conduct cross-site scripting attacks. PLATFORM: HP Business Availability Center software 8.06 and prior versions ABSTRACT: The software does not properly filter HTML code from user-supplied input before displaying the input. reference LINKS: SecurityTracker Alert ID:1025535 HP Knowledge Base CVE-2011-1856 Secunia ID: SA44569 HP Document ID:c02823184 | ESB-2011.0525 IMPACT ASSESSMENT: High Discussion: A remote user can cause arbitrary scripting code to be executed by the

123

AC corrosion on cathodically protected steel.  

E-Print Network (OSTI)

?? This report deals with the effect of alternating current on cathodically protected steel. AC corrosion has become relevant in the offshore industry due to (more)

Torstensen, Andreas

2012-01-01T23:59:59.000Z

124

Design of AC substation grounding system.  

E-Print Network (OSTI)

??The purpose for this paper is to understand the basic foundation used to safely design a substation grounding system for AC systems. The following criteria (more)

Meas, Ra

2014-01-01T23:59:59.000Z

125

Alameda-Contra Costa Transit District (AC Transit) Fuel Cell...  

Energy Savers (EERE)

(AC Transit) Fuel Cell Transit Buses: Preliminary Evaluation Results Alameda-Contra Costa Transit District (AC Transit) Fuel Cell Transit Buses: Preliminary Evaluation Results This...

126

AVTA: Blink AC Level 2 Charging System Testing Results | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Blink AC Level 2 Charging System Testing Results AVTA: Blink AC Level 2 Charging System Testing Results The Vehicle Technologies Office's Advanced Vehicle Testing Activity carries...

127

AVTA: Schneider AC Level 2 Charging System Testing Results |...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Schneider AC Level 2 Charging System Testing Results AVTA: Schneider AC Level 2 Charging System Testing Results The Vehicle Technologies Office's Advanced Vehicle Testing Activity...

128

AVTA: Aerovironment AC Level 2 Charging System Testing Results...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Aerovironment AC Level 2 Charging System Testing Results AVTA: Aerovironment AC Level 2 Charging System Testing Results The Vehicle Technologies Office's Advanced Vehicle Testing...

129

AVTA: SPX AC Level 2 Charging System Testing Results | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

AVTA: SPX AC Level 2 Charging System Testing Results AVTA: SPX AC Level 2 Charging System Testing Results The Vehicle Technologies Office's Advanced Vehicle Testing Activity...

130

Wavelength meter having single mode fiber optics multiplexed inputs  

DOE Patents (OSTI)

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.

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

1993-02-23T23:59:59.000Z

131

Wavelength meter having single mode fiber optics multiplexed inputs  

DOE Patents (OSTI)

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.

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

1993-01-01T23:59:59.000Z

132

DOE Seeks Industry Input on Nickel Disposition Strategy | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DOE Seeks Industry Input on Nickel Disposition Strategy DOE Seeks Industry Input on Nickel Disposition Strategy DOE Seeks Industry Input on Nickel Disposition Strategy March 23, 2012 - 12:00pm Addthis WASHINGTON, D.C. - The Energy Department's prime contractor, Fluor-B&W Portsmouth (FBP), managing the Portsmouth Gaseous Diffusion Plant (GDP), issued a request for Expressions of Interest (EOI) seeking industry input to support the development of an acquisition strategy for potential disposition of DOE nickel. The EOI requests technical, financial, and product market information to review the feasibility of technologies capable of decontaminating the nickel to a level indistinguishable from what is commercially available, such that it could be safely recycled and reused. The EOI scope is for 6,400 tons of nickel to be recovered from the uranium enrichment process

133

Input to the 2012-2021 Strategic Plan  

NLE Websites -- All DOE Office Websites (Extended Search)

Related Federal Climate Efforts Related Federal Climate Efforts Input to the 2012-2021 Strategic Plan Print E-mail Engaging Stakeholders The USGCRP is dedicated to engaging stakeholders in strategic planning efforts. Our community outreach activities created a dialogue with our stakeholders through various communication channels, such as opportunities for interagency collaboration, town hall meetings, public presentations and listening sessions. These channels alongside our 60 day public comment period enabled the program to incorporate stakeholder input int the process of drafting this decadal plan. In addition, we welcome input - particularly on the future direction of USGCRP and on the climate information you need and use. Please send your comments to input@usgcrp.gov. Listening Sessions

134

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

92: Symantec Security Information Manager Input Validation Flaws 92: Symantec Security Information Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Information Disclosure Attacks V-192: Symantec Security Information Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Information Disclosure Attacks July 4, 2013 - 6:00am Addthis PROBLEM: Several vulnerabilities were reported in Symantec Security Information Manager PLATFORM: Symantec Security Information Manager Appliance Version 4.7.x and 4.8.0 ABSTRACT: Symantec was notified of multiple security issues impacting the SSIM management console REFERENCE LINKS: SecurityTracker Alert ID: 1028727 Symantec Security Advisory SYM13-006 CVE-2013-1613 CVE-2013-1614 CVE-2013-1615 IMPACT ASSESSMENT: Medium DISCUSSION: The console does not properly filter HTML code from user-supplied input

135

Abandoned Uranium Mines Report to Congress: LM Wants Your Input |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Abandoned Uranium Mines Report to Congress: LM Wants Your Input Abandoned Uranium Mines Report to Congress: LM Wants Your Input Abandoned Uranium Mines Report to Congress: LM Wants Your Input April 11, 2013 - 1:33pm Addthis C-SR-10 Uintah Mine, Colorado, LM Uranium Lease Tracts C-SR-10 Uintah Mine, Colorado, LM Uranium Lease Tracts What does this project do? Goal 4. Optimize the use of land and assets Abandoned Uranium Mines Report to Congress The U.S. Department of Energy (DOE) Office of Legacy Management (LM) is seeking stakeholder input on an abandoned uranium mines report to Congress. On January 2, 2013, President Obama signed into law the National Defense Authorization Act for Fiscal Year 2013, which requires the Secretary of Energy, in consultation with the Secretary of the U.S Department of the Interior (DOI) and the Administrator

136

DOE Seeks Industry Input on Nickel Disposition Strategy | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Industry Input on Nickel Disposition Strategy Industry Input on Nickel Disposition Strategy DOE Seeks Industry Input on Nickel Disposition Strategy March 23, 2012 - 12:00pm Addthis WASHINGTON, D.C. - The Energy Department's prime contractor, Fluor-B&W Portsmouth (FBP), managing the Portsmouth Gaseous Diffusion Plant (GDP), issued a request for Expressions of Interest (EOI) seeking industry input to support the development of an acquisition strategy for potential disposition of DOE nickel. The EOI requests technical, financial, and product market information to review the feasibility of technologies capable of decontaminating the nickel to a level indistinguishable from what is commercially available, such that it could be safely recycled and reused. The EOI scope is for 6,400 tons of nickel to be recovered from the uranium enrichment process

137

Comparison of wind stress algorithms, datasets and oceanic power input  

E-Print Network (OSTI)

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 ...

Yuan, Shaoyu

2009-01-01T23:59:59.000Z

138

Operation of buck regulator with ultra-low input voltage  

E-Print Network (OSTI)

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 ...

Harris, Cory Angelo

2014-01-01T23:59:59.000Z

139

Data sheet acquired from Harris Semiconductor Buffered Inputs  

E-Print Network (OSTI)

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

Kretchmar, R. Matthew

140

Automatic testing of software with structurally complex inputs  

E-Print Network (OSTI)

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

Marinov, Darko, 1976-

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Face Interface : a methodology for experimental learning of input modalities  

E-Print Network (OSTI)

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 ...

Wetzel, Jon William

2007-01-01T23:59:59.000Z

142

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

3: Symantec Endpoint Protection Manager Input Validation Hole 3: Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks T-693: Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks August 15, 2011 - 3:42pm Addthis PROBLEM: Two vulnerabilities were reported in Symantec Endpoint Protection Manager. A remote user can conduct cross-site scripting attacks. A remote user can conduct cross-site request forgery attacks. PLATFORM: Version(s): 11.0 RU6(11.0.600x), 11.0 RU6-MP1(11.0.6100), 11.0 RU6-MP2(11.0.6200), 11.0 RU6-MP3(11.0.6300) ABSTRACT: Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks. reference LINKS:

143

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

E-Print Network (OSTI)

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.

Christian Iliadis; Richard Longland; Art Champagne; Alain Coc

2010-04-23T23:59:59.000Z

144

Poroelasticity: parameters reviewed  

Science Journals Connector (OSTI)

......pressure parameter), storage parameters, the Darcy...the variability of the storage coefficient as function...effects associated with the long-term compaction of sedimentary...underground nuclear waste storage, exploitation of geothermal......

H.-J. Kmpel

1991-06-01T23:59:59.000Z

145

ACS Meeting and Chemical Exposition Draw Large Attendance  

Science Journals Connector (OSTI)

ACS Meeting and Chemical Exposition Draw Large Attendance ... Copyright 1958 American Chemical Society ...

1958-06-01T23:59:59.000Z

146

AC Ward Leonard drive systems: Revisiting the four-quadrant operation of AC machines  

Science Journals Connector (OSTI)

Abstract In this paper, the problem of controlling the speed of AC machines in four quadrants is revisited from a completely new viewpoint, based on the idea of powering an AC machine with a synchronous generator that generates a variable-voltagevariable-frequency supply. This is a natural, mathematical, but not physical, extension of the conventional Ward Leonard drive systems for DC machines to AC machines. As a result, AC drives can be regarded as generator-motor systems, which facilitate the analysis of AC drives and the introduction of other special functions because a system consisting of a generator and a motor is easier to be handled than the conventional AC drive that consists of an inverter and a motor. Control strategies, with and without a speed sensor, are proposed to implement this idea and the experimental results are presented to demonstrate the feasibility.

Qing-Chang Zhong

2013-01-01T23:59:59.000Z

147

Safe-commutation principle for direct single-phase AC-AC converters for use in audio power  

E-Print Network (OSTI)

Safe-commutation principle for direct single-phase AC-AC converters for use in audio power-stage AC-AC audio power amplifiers. As compared with the bridge commutation with load current or source is certainly the audio power amplification. Switching-mode Class D audio power amplifiers are becoming

148

Direct estimation of Patlak parameters from list mode pet data  

Science Journals Connector (OSTI)

We describe a method to directly estimate Patlak parameters from list mode data. Based on the Patlak model, the uptake rate function of each voxel can be written as a linear combination of the blood input function and its integral, with the slope and ... Keywords: FDG PET, PET, incremental gradient, list mode, the Patlak Model

Quanzheng Li; Richard M. Leahy

2009-06-01T23:59:59.000Z

149

STATE-PARAMETER IDENTIFICATION PROBLEMS FOR ACCURATE BUILDING ENERGY AUDITS  

E-Print Network (OSTI)

STATE-PARAMETER IDENTIFICATION PROBLEMS FOR ACCURATE BUILDING ENERGY AUDITS Jordan Brouns1 calibration. The present paper investigates the use of such techniques to derive an energy audit procedure fails to predict accurately the real energy performance, mostly due to great uncertainties in the input

Paris-Sud XI, Université de

150

Parameter Estimation Using Dual Fractional Power Filters Jason M. Kinser  

E-Print Network (OSTI)

by the user, they only have to be contained within the training set. A dual filter system will be created from an unknown input from the training set was operated on by the filter the constraint value associatedParameter Estimation Using Dual Fractional Power Filters Jason M. Kinser The Institute

Kinser, Jason M.

151

Washington Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Washington Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 15 13 15 11 11 9 10 21 79 154 1990's 181 154 180 4 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Washington Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition

152

Minnesota Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Minnesota Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 48 106 337 1 3 11 2 1 385 315 1990's 56 49 52 78 289 194 709 172 50 64 2000's 101 118 13 42 71 154 13 54 46 47 2010's 12 20 9 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Minnesota Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

153

District of Columbia Natural Gas Input Supplemental Fuels (Million Cubic  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) District of Columbia Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 2 1 46 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas District of Columbia Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition)

154

Maryland Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Maryland Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 484 498 984 352 332 373 155 136 743 899 1990's 24 72 126 418 987 609 882 178 80 498 2000's 319 186 48 160 124 382 41 245 181 170 2010's 115 89 116 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Maryland Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

155

Iowa Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Iowa Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 57 64 68 23 53 45 44 40 34 82 1990's 81 46 45 84 123 96 301 137 17 12 2000's 44 39 23 143 30 31 46 40 27 3 2010's 2 1 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Iowa Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition

156

Pennsylvania Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Pennsylvania Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 3,127 10,532 5,621 3,844 82 221 196 247 254 305 1990's 220 222 132 110 252 75 266 135 80 119 2000's 261 107 103 126 131 132 124 145 123 205 2010's 4 2 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Pennsylvania Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

157

Possible Magmatic Input to the Dixie Valley Geothermal Field, and  

Open Energy Info (EERE)

Possible Magmatic Input to the Dixie Valley Geothermal Field, and Possible Magmatic Input to the Dixie Valley Geothermal Field, and Implications for District-Scale Resource Exploration, Inferred from Magnetotelluric (MT) Resistivity Surveying Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Possible Magmatic Input to the Dixie Valley Geothermal Field, and Implications for District-Scale Resource Exploration, Inferred from Magnetotelluric (MT) Resistivity Surveying Abstract Magnetotelluric (MT) profiling in northwestern Nevadais used to test hypotheses on the main sources of heat andhydrothermal fluid for the Dixie Valley-Central NevadaSeismic Belt area. The transect reveals families of resistivitystructures commonly dominated by steeply-dipping features,some of which may be of key geothermal significance. Mostnotably, 2-D inversion

158

Missouri Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Missouri Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 65 60 2,129 1,278 326 351 1 1 2 1,875 1990's 0 0 0 0 371 4 785 719 40 207 2000's 972 31 62 1,056 917 15 78 66 6 10 2010's 18 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Missouri Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

159

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

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Rhode Island Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 257 951 718 594 102 130 182 109 391 219 1990's 51 92 155 126 0 27 42 18 1 1 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Rhode Island Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

160

DOE Seeks Input On Addressing Contractor Pension and Medical Benefits  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Input On Addressing Contractor Pension and Medical Input On Addressing Contractor Pension and Medical Benefits Liabilities DOE Seeks Input On Addressing Contractor Pension and Medical Benefits Liabilities March 27, 2007 - 12:10pm Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) today announced in the Federal Register that it is seeking public comment on how to address the increasing costs and liabilities of contractor employee pension and medical benefits. Under the Department of Energy's unique Management and Operating and other site management contracts, DOE reimburses its contractors for allowable costs incurred in providing contractor employee pension and medical benefits to current employees and retirees. In FY2006, these costs reached approximately $1.1 billion - a more than 226 percent increase since FY2000 - and are expected to grow in future years.

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Georgia Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Georgia Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 24 57 151 84 28 121 124 248 241 292 1990's 209 185 166 199 123 130 94 14 16 12 2000's 73 51 7 14 5 0 3 2 52 2010's 732 701 660 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Georgia Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

162

Delaware Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Delaware Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 55 135 56 20 13 12 9 0 2 18 1990's 4,410 4,262 3,665 3,597 3,032 1 1 2 0 0 2000's 6 0 0 7 17 0 W 5 2 2 2010's 1 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Delaware Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition

163

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

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) South Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9 24 50 1 0 0 0 0 10 16 1990's 10 3 10 9 61 37 87 30 4 5 2000's 13 5 3 57 5 4 0 1 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas South Dakota Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition

164

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

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) New Hampshire Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 774 720 582 328 681 509 362 464 492 592 1990's 205 128 96 154 160 90 147 102 103 111 2000's 180 86 66 58 91 84 92 9 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas New Hampshire Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

165

OECD Input-Output Tables | Open Energy Information  

Open Energy Info (EERE)

OECD Input-Output Tables OECD Input-Output Tables Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Input-Output Tables Agency/Company /Organization: Organisation for Economic Co-Operation and Development Topics: Co-benefits assessment, Market analysis, Co-benefits assessment, Pathways analysis Resource Type: Dataset Website: www.oecd.org/document/3/0,3343,en_2649_34445_38071427_1_1_1_1,00.html Country: Sweden, Finland, Japan, South Korea, Argentina, Australia, China, Israel, United Kingdom, Portugal, Romania, Greece, Poland, Slovakia, Chile, India, Canada, New Zealand, United States, Denmark, Norway, Spain, Austria, Italy, Netherlands, Ireland, France, Belgium, Brazil, Czech Republic, Estonia, Germany, Hungary, Luxembourg, Mexico, Slovenia, South Africa, Turkey, Indonesia, Switzerland, Taiwan, Russia

166

Formalization of computer input and output: the Hadley model  

Science Journals Connector (OSTI)

Current digital evidence acquisition tools are effective, but are tested rather than formally proven correct. We assert that the forensics community will benefit in evidentiary ways and the scientific community will benefit in practical ways by moving beyond simple testing of systems to a formal model. To this end, we present a hierarchical model of peripheral input to and output from von Neumann computers, patterned after the Open Systems Interconnection model of networking. The Hadley model categorizes all components of peripheral input and output in terms of data flow; with constructive aspects concentrated in the data flow between primary memory and the computer sides of peripherals' interfaces. The constructive domain of Hadley is eventually expandable to all areas of the I/O hierarchy, allowing for a full view of peripheral input and output and enhancing the forensics community's capabilities to analyze, obtain, and give evidentiary force to data.

Matthew Gerber; John Leeson

2004-01-01T23:59:59.000Z

167

Connecticut Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Connecticut Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 144 1,584 1,077 291 239 343 298 180 245 251 1990's 111 146 40 94 29 68 48 37 33 31 2000's 20 6 6 57 191 273 91 0 0 1 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Connecticut Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

168

South Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) South Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 74 184 63 73 62 87 31 22 191 201 1990's 17 47 26 34 154 62 178 10 0 18 2000's 63 6 3 15 2 86 75 0 2010's 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas South Carolina Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

169

Tennessee Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Tennessee Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 12 42 90 39 25 36 13 26 36 78 1990's 3 8 12 13 84 33 73 19 4 11 2000's 13 0 1 1 0 0 0 0 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Tennessee Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition

170

Cosmological parameters are dressed  

E-Print Network (OSTI)

In the context of the averaging problem in relativistic cosmology, we provide a key to the interpretation of cosmological parameters by taking into account the actual inhomogeneous geometry of the Universe. We discuss the relation between `bare' cosmological parameters determining the cosmological model, and the parameters interpreted by observers with a ``Friedmannian bias'', which are `dressed' by the smoothed-out geometrical inhomogeneities of the surveyed spatial region.

Thomas Buchert; Mauro Carfora

2002-10-15T23:59:59.000Z

171

Method and system for an on-chip AC self-test controller  

DOE Patents (OSTI)

A method and system for performing AC self-test on an integrated circuit that includes a system clock for use during normal operation are provided. The method includes applying a long data capture pulse to a first test register in response to the system clock, applying an at speed data launch pulse to the first test register in response to the system clock, inputting the data from the first register to a logic path in response to applying the at speed data launch pulse to the first test register, applying an at speed data capture pulse to a second test register in response to the system clock, inputting the logic path output to the second test register in response to applying the at speed data capture pulse to the second test register, and applying a long data launch pulse to the second test register in response to the system clock.

Flanagan, John D. (Rhinebeck, NY); Herring, Jay R. (Poughkeepsie, NY); Lo, Tin-Chee (Fishkill, NY)

2008-09-30T23:59:59.000Z

172

ACS calibration pipeline testing: basic image reduction  

E-Print Network (OSTI)

Hack, Colin Cox Space Telescope Science Institute 28 May 1999 ABSTRACT This report describes the basic. For a detailed description of CALACS, see ACS Instrument Science Report 99-03 by Hack. This report describes

Sirianni, Marco

173

ACS workshop in India proposes eight projects  

Science Journals Connector (OSTI)

ACS workshop in India proposes eight projects ... Investigate the solid-state chemistry of processes and materials needed for using solar energy to split water and for transporting and storing the resulting hydrogen for use as a fuel. ...

1980-03-31T23:59:59.000Z

174

Table 3. U.S. Inputs to Biodiesel Production  

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

U.S. Inputs to Biodiesel Production U.S. Inputs to Biodiesel Production (million pounds) 2011 January 8 17 - W 150 W 14 11 February 26 13 - W 150 W 14 11 March 68 14 - W 190 W 19 27 April 88 20 - W 236 W 15 47 May 113 21 - W 264 W 16 36 June 75 34 - W 311 W 23 49 July 77 35 - W 367 W 26 64 August 84 37 W W 398 W 34 38 September 84 27 W W 430 W

175

FULL FUEL CYCLE ASSESSMENT WELL TO TANK ENERGY INPUTS,  

E-Print Network (OSTI)

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

176

"Why Are Some Firms More Innovative? Knowledge Inputs, Knowledge Stocks,  

E-Print Network (OSTI)

"Why Are Some Firms More Innovative? Knowledge Inputs, Knowledge Stocks, and the Role of Global, Exporting, Knowledge and Technological Change Abstract Why do some firms create more knowledge than others stock of knowledge. But there is very little empirical evidence on production functions for new ideas

Sadoulet, Elisabeth

177

Fast RNA Structure Alignment for Crossing Input Rolf Backofena  

E-Print Network (OSTI)

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

Tsur, Dekel

178

Input to review of STFC UK Nuclear Physics Community  

E-Print Network (OSTI)

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

Crowther, Paul

179

Global sensitivity analysis of computer models with functional inputs  

E-Print Network (OSTI)

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

Boyer, Edmond

180

Toward a Theory of Input Acceptance for Transactional Memories  

E-Print Network (OSTI)

-core architectures requires numerous events to be treated upon reception. In fact, the transactional code executed, experimental validation compares the presented TM designs in terms of input acceptance with realistic workloads database systems transac- tional events can be buffered on the server-side before treatment

Guerraoui, Rachid

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Addressing Uncertainty in Desigh Inputs: A Case Study of Probabilisti...  

Office of Environmental Management (EM)

Development * Analysis Approach * Parameters considered * Methodology * Results synthesis * Why the approach was useful 2 CJCAssociates Description of the SWPF Settlement...

182

Three phase AC motor controller  

DOE Patents (OSTI)

A motor controller for a three phase AC motor (10) which is adapted to operate bidirectionally from signals received either from a computer (30) or a manual control (32). The controller is comprised of digital logic circuit means which implement a forward and reverse command signal channel (27, 29) for the application of power through the forward and reverse power switching relays (16, 18, 20, 22). The digital logic elements are cross coupled to prevent activation of both channels simultaneously and each includes a plugging circuit (65, 67) for stopping the motor upon the removal of control signal applied to one of the two channels (27, 29) for a direction of rotation desired. Each plugging circuit (65, 67) includes a one-shot pulse signal generator (88, 102) which outputs a single pulse signal of predetermined pulsewidth which is adapted to inhibit further operation of the application of power in the channel which is being activated and to apply a reversal command signal to the other channel which provides a reversed phase application of power to the motor for a period defined by the pulse-width output of the one-shot signal generator to plug the motor (10) which will then be inoperative until another rotational command signal is applied to either of the two channels.

Vuckovich, Michael (Elizabeth, PA); Wright, Maynard K. (Bethel Park, PA); Burkett, John P. (South Huntington Township, Westmoreland County, PA)

1984-03-20T23:59:59.000Z

183

r XXXX American Chemical Society A dx.doi.org/10.1021/ac201626b |Anal. Chem. XXXX, XXX, 000000 pubs.acs.org/ac  

E-Print Network (OSTI)

proposed as a platform for miniaturized chemical sen- sor systems. However, only a few systems achieve massr XXXX American Chemical Society A dx.doi.org/10.1021/ac201626b |Anal. Chem. XXXX, XXX, 000­000 ARTICLE pubs.acs.org/ac Chemical Vapor Detection Using a Capacitive Micromachined Ultrasonic Transducer

Khuri-Yakub, Butrus T. "Pierre"

184

EP-MAC e-mail : jyoak@snu.ac.kr, sbahk@snu.ac.kr  

E-Print Network (OSTI)

EP-MAC *, e-mail : jyoak@snu.ac.kr, sbahk@snu.ac.kr Early Preamble MAC to reduce-cycled wireless sensor motes. In this paper we propose Early Preamble-MAC(EP-MAC) which enables to get enhanced performance of low energy and low latency. EP-MAC uses both early preamble and original simple preamble, so

Bahk, Saewoong

185

debussy@cs.yonsei.ac.kr, iklee@yonsei.ac.kr Affective Icons for Music Exploring  

E-Print Network (OSTI)

O debussy@cs.yonsei.ac.kr, iklee@yonsei.ac.kr Affective Icons for Music Exploring Min and colors of harmonograph curves. These curves can be used as icons for music retrieval, and we demonstrate. This approach is compatible with a standard icon-based file browser. . Introduction Since the appearance

Lee, In-Kwon

186

Addressing Uncertainty in Desigh Inputs: A Case Study of Probabilistic Settlement Evaluations for Soft Zone Collapse at SWPF  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Addressing Uncertainties in Design Addressing Uncertainties in Design Inputs: A Case Study of Probabilistic Settlement Evaluations for Soft Zone Collapse at SWPF Tom Houston, Greg Mertz, Carl Costantino, Michael Costantino, Andrew Maham Carl J. Costantino & Associates DOE NPH Conference Germantown, Maryland October 25-26 2011 1 CJCAssociates Introduction * Description of the SWPF Settlement Problem * Deterministic v. Probabilistic Approach to Settlement Profile Development * Analysis Approach * Parameters considered * Methodology * Results synthesis * Why the approach was useful 2 CJCAssociates Description of the SWPF Settlement Problem * At SRS, post-seismic differential settlement is caused by the potential collapse of soft zones * Large uncertainty in the geotechnical parameters defining size

187

Solar Model Parameters and Direct Measurements of Solar Neutrino Fluxes  

E-Print Network (OSTI)

We explore a novel possibility of determining the solar model parameters, which serve as input in the calculations of the solar neutrino fluxes, by exploiting the data from direct measurements of the fluxes. More specifically, we use the rather precise value of the $^8B$ neutrino flux, $\\phi_B$ obtained from the global analysis of the solar neutrino and KamLAND data, to derive constraints on each of the solar model parameters on which $\\phi_B$ depends. We also use more precise values of $^7Be$ and $pp$ fluxes as can be obtained from future prospective data and discuss whether such measurements can help in reducing the uncertainties of one or more input parameters of the Standard Solar Model.

Abhijit Bandyopadhyay; Sandhya Choubey; Srubabati Goswami; S. T. Petcov

2006-08-30T23:59:59.000Z

188

Photon Source Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Photon Source Parameters Photon Source Parameters Photon Source Parameters Print Summary Graph of Brightness Curves for All Insertion Devices Insertion Device and Bend Magnet Parameters Bend Magnet Superbend Magnet U30 Undulator U50 Undulator U80 Undulator U100 Undulator W114 Wiggler The ALS has six elliptically polarizing undulators, two in straight 4, two in straight 11, and one each in straights 6 and 7. All are arranged with chicanes so that two such devices can be installed to feed two independent beamlines. They can be used in a variety of polarization modes, including circular, elliptical, horizontal, and vertical. These modes can be chosen by appropriate phasing of the magnet rows. The brightness and flux curves below are shown for horizontal and circular polarization. Curves for elliptical and vertical polarization are similar to the horizontal polarization curve, but the minimum photon energy is higher.

189

Total Refinery Net Input of Crude Oil and Petroleum Products  

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

Input Input Product: Total Crude Oil & Petroleum Products Crude Oil Natural Gas Plant Liquids Pentanes Plus Liquefied Petroleum Gases Normal Butane Isobutane Other Liquids Hydrogen/Oxygenates/Renewables/Other Hydrocarbons Hydrogen Oxygenates (excl. Fuel Ethanol) Methyl Tertiary Butyl Ether (MTBE) All Other Oxygenates Renewable Fuels (incl. Fuel Ethanol) Fuel Ethanol Renewable Diesel Fuel Other Renewable Fuels Other Hydrocarbons Unfinished Oils (net) Unfinished Oils, Naphthas and Lighter Unfinished Oils, Kerosene and Light Gas Oils Unfinished Oils, Heavy Gas Oils Residuum Motor Gasoline Blending Components (MGBC) (net) MGBC - Reformulated MGBC - Reformulated - RBOB MGBC - Reformulated, RBOB for Blending w/ Alcohol MGBC - Reformulated, RBOB for Blending w/ Ether MGBC - Conventional MGBC - CBOB MGBC - Conventional, GTAB MGBC - Other Conventional Aviation Gasoline Blending Components (net) Alaskan Crude Oil Receipts Period-Unit: Monthly-Thousand Barrels Monthly-Thousand Barrels per Day Annual-Thousand Barrels Annual-Thousand Barrels per Day

190

Refinery & Blenders Net Input of Crude Oil  

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

Input Input Product: Total Crude Oil & Petroleum Products Crude Oil Natural Gas Plant Liquids and Liquefied Refinery Gases Pentanes Plus Liquefied Petroleum Gases Ethane Normal Butane Isobutane Other Liquids Hydrogen/Oxygenates/Renewables/Other Hydrocarbons Hydrogen Oxygenates (excl. Fuel Ethanol) Methyl Tertiary Butyl Ether (MTBE) All Other Oxygenates Renewable Fuels (incl. Fuel Ethanol) Fuel Ethanol Renewable Diesel Fuel Other Renewable Fuels Other Hydrocarbons Unfinished Oils (net) Unfinished Oils, Naphthas and Lighter Unfinished Oils, Kerosene and Light Gas Oils Unfinished Oils, Heavy Gas Oils Residuum Motor Gasoline Blending Components (MGBC) (net) MGBC - Reformulated MGBC - Reformulated - RBOB MGBC - Reformulated, RBOB for Blending w/ Alcohol MGBC - Reformulated, RBOB for Blending w/ Ether MGBC - Reformulated, GTAB MGBC - Conventional MGBC - CBOB MGBC - Conventional, GTAB MGBC - Other Conventional Aviation Gasoline Blending Components (net) Period-Unit: Monthly-Thousand Barrels Monthly-Thousand Barrels per Day Annual-Thousand Barrels Annual-Thousand Barrels per Day

191

Documentation of Calculation Methodology, Input Data, and Infrastructure  

NLE Websites -- All DOE Office Websites (Extended Search)

Documentation of Calculation Methodology, Input Data, and Infrastructure Documentation of Calculation Methodology, Input Data, and Infrastructure for the Home Energy Saver Web Site Title Documentation of Calculation Methodology, Input Data, and Infrastructure for the Home Energy Saver Web Site Publication Type Report LBNL Report Number LBNL-51938 Year of Publication 2005 Authors Pinckard, Margaret J., Richard E. Brown, Evan Mills, James D. Lutz, Mithra M. Moezzi, Celina S. Atkinson, Christopher A. Bolduc, Gregory K. Homan, and Katie Coughlin Document Number LBNL-51938 Pagination 108 Date Published July 13 Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract The Home Energy Saver (HES, http://HomeEnergySaver.lbl.gov) is an interactive web site designed to help residential consumers make 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 categories (end uses); heating, cooling, water heating, major appliances, lighting, and miscellaneous equipment. The approach taken by the Home Energy Saver is to provide users with initial results based on a minimum of user input, allowing progressively greater control in specifying the characteristics of the house and energy consuming appliances. Outputs include energy consumption (by fuel and end use), energy-related emissions (carbon dioxide), energy bills (total and by fuel and end use), and energy saving recommendations. Real-world electricity tariffs are used for many locations, making the bill estimates even more accurate. Where information about the house is not available from the user, default values are used based on end-use surveys and engineering studies. An extensive body of qualitative decision-support information augments the analytical results.

192

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

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) New Jersey Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9,574 11,504 9,786 9,896 8,616 13,421 12,099 13,774 14,846 14,539 1990's 9,962 14,789 14,362 14,950 7,737 7,291 6,778 6,464 9,082 5,761 2000's 8,296 12,330 3,526 473 530 435 175 379 489 454 2010's 457 392 139 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas New Jersey Supplemental Supplies of Natural Gas

193

Nebraska Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Nebraska Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9 1,838 63 2,006 2,470 2,689 2,142 2,199 1,948 2,088 1990's 2,361 2,032 1,437 791 890 15 315 134 11 4 2000's 339 6 1 13 39 16 19 33 28 18 2010's 12 9 4 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Nebraska Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

194

Michigan Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Michigan Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 3 3,038 2,473 2,956 2,773 2,789 2,754 2,483 2,402 2,402 1990's 19,106 15,016 14,694 12,795 13,688 21,378 21,848 22,238 21,967 20,896 2000's 12,423 4,054 0 0 0 0 0 0 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Michigan Supplemental Supplies of Natural Gas

195

Colorado Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Colorado Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9,868 9,133 8,877 7,927 9,137 8,934 8,095 8,612 10,322 9,190 1990's 15,379 6,778 7,158 8,456 8,168 7,170 6,787 6,314 5,292 4,526 2000's 4,772 5,625 5,771 5,409 5,308 5,285 6,149 6,869 6,258 7,527 2010's 5,148 4,268 4,412 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Colorado Supplemental Supplies of Natural Gas

196

Ohio Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Ohio Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 69,169 69,850 64,812 62,032 43,866 24,444 5,182 18 44 348 1990's 849 891 1,051 992 1,432 904 1,828 1,423 1,194 1,200 2000's 1,442 1,149 79 1,002 492 579 423 608 460 522 2010's 353 296 366 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Ohio Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

197

Hawaii Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Hawaii Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,190 2,993 2,899 2,775 2,449 2,655 2,630 2,461 2,801 2,844 1990's 2,817 2,725 2,711 2,705 2,831 2,793 2,761 2,617 2,715 2,752 2000's 2,769 2,689 2,602 2,602 2,626 2,606 2,613 2,683 2,559 2,447 2010's 2,472 2,467 2,510 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Hawaii Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

198

Massachusetts Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Massachusetts Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 15,366 21,828 17,586 10,732 6,545 3,668 2,379 1,404 876 692 1990's 317 120 105 61 154 420 426 147 68 134 2000's 26 16 137 324 80 46 51 15 13 10 2010's 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Massachusetts Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

199

Indiana Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Indiana Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 1,602 5,056 3,496 4,142 4,027 2,711 2,351 3,890 4,243 3,512 1990's 3,015 3,077 3,507 3,232 2,457 3,199 3,194 3,580 3,149 5,442 2000's 5,583 5,219 1,748 2,376 2,164 1,988 1,642 635 30 1 2010's 1 5 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Indiana Supplemental Supplies of Natural Gas

200

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

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) North Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 196 417 102 0 8,335 40,370 49,847 51,543 49,014 54,408 1990's 53,144 52,557 58,496 57,680 57,127 57,393 55,867 53,179 54,672 53,185 2000's 49,190 51,004 53,184 53,192 47,362 51,329 54,361 51,103 50,536 53,495 2010's 54,813 51,303 52,541 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Illinois Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Illinois Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 36,713 29,509 19,005 19,734 17,308 19,805 22,980 12,514 9,803 9,477 1990's 8,140 6,869 8,042 9,760 7,871 6,256 3,912 4,165 2,736 2,527 2000's 1,955 763 456 52 14 15 13 11 15 20 2010's 17 1 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Illinois Supplemental Supplies of Natural Gas

202

Parameter Estimation Through Ignorance  

E-Print Network (OSTI)

Dynamical modelling lies at the heart of our understanding of physical systems. Its role in science is deeper than mere operational forecasting, in that it allows us to evaluate the adequacy of the mathematical structure of our models. Despite the importance of model parameters, there is no general method of parameter estimation outside linear systems. A new relatively simple method of parameter estimation for nonlinear systems is presented, based on variations in the accuracy of probability forecasts. It is illustrated on the Logistic Map, the Henon Map and the 12-D Lorenz96 flow, and its ability to outperform linear least squares in these systems is explored at various noise levels and sampling rates. As expected, it is more effective when the forecast error distributions are non-Gaussian. The new method selects parameter values by minimizing a proper, local skill score for continuous probability forecasts as a function of the parameter values. This new approach is easier to implement in practice than alternative nonlinear methods based on the geometry of attractors or the ability of the model to shadow the observations. New direct measures of inadequacy in the model, the "Implied Ignorance" and the information deficit are introduced.

Hailiang Du; Leonard A. Smith

2012-06-06T23:59:59.000Z

203

7AC Technologies, Inc. | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

7AC 7AC Technologies, Inc. America's Next Top Energy Innovator Challenge 498 likes 7AC Technologies, Inc. National Renewable Energy Laboratory Air conditioning is a very large contributor to U.S. and world energy consumption. Heating and cooling costs for commercial and industrial buildings exceed 25 percent of U.S. primary energy consumption (cooling alone accounts for 4.5 Quads out of 40 Quads) and typically accounts for almost half of a building's operating costs. Air conditioning is also a significant cause of grid instability with cycling compressor motors turning on and off, and causing load issues on hot summer days. Conventional air conditioners improve efficiency only marginally every year and retrofitting older rooftop units does not result in significant energy

204

7AC Technologies, Inc. | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

7AC 7AC Technologies, Inc. America's Next Top Energy Innovator Challenge 498 likes 7AC Technologies, Inc. National Renewable Energy Laboratory Air conditioning is a very large contributor to U.S. and world energy consumption. Heating and cooling costs for commercial and industrial buildings exceed 25 percent of U.S. primary energy consumption (cooling alone accounts for 4.5 Quads out of 40 Quads) and typically accounts for almost half of a building's operating costs. Air conditioning is also a significant cause of grid instability with cycling compressor motors turning on and off, and causing load issues on hot summer days. Conventional air conditioners improve efficiency only marginally every year and retrofitting older rooftop units does not result in significant energy

205

Princeton Plasma Physics Lab - AC power  

NLE Websites -- All DOE Office Websites (Extended Search)

ac-power The electricity that runs the ac-power The electricity that runs the Laboratory's experiments and facilities. "AC" stands for the alternating current that comes from large power stations. The term compares with "DC," for "direct current," which comes from sources like batteries. en Offshore Wind and Vehicle to Grid Power http://www.pppl.gov/events/offshore-wind-and-vehicle-grid-power

Professor Willett Kempton, of the University of Delaware, presents "Offshore Wind and Vehicle to Grid Power" as part of the Andlinger Center's 2013-2014 Highlight Seminar Series.

206

7AC Technologies, Inc. | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

7AC 7AC Technologies, Inc. America's Next Top Energy Innovator Challenge 498 likes 7AC Technologies, Inc. National Renewable Energy Laboratory Air conditioning is a very large contributor to U.S. and world energy consumption. Heating and cooling costs for commercial and industrial buildings exceed 25 percent of U.S. primary energy consumption (cooling alone accounts for 4.5 Quads out of 40 Quads) and typically accounts for almost half of a building's operating costs. Air conditioning is also a significant cause of grid instability with cycling compressor motors turning on and off, and causing load issues on hot summer days. Conventional air conditioners improve efficiency only marginally every year and retrofitting older rooftop units does not result in significant energy

207

Photon Source Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Photon Source Parameters Print Photon Source Parameters Print Summary Graph of Brightness Curves for All Insertion Devices Insertion Device and Bend Magnet Parameters Bend Magnet Superbend Magnet U30 Undulator U50 Undulator U80 Undulator U100 Undulator W114 Wiggler The ALS has six elliptically polarizing undulators, two in straight 4, two in straight 11, and one each in straights 6 and 7. All are arranged with chicanes so that two such devices can be installed to feed two independent beamlines. They can be used in a variety of polarization modes, including circular, elliptical, horizontal, and vertical. These modes can be chosen by appropriate phasing of the magnet rows. The brightness and flux curves below are shown for horizontal and circular polarization. Curves for elliptical and vertical polarization are similar to the horizontal polarization curve, but the minimum photon energy is higher.

208

Photon Source Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Photon Source Parameters Print Photon Source Parameters Print Summary Graph of Brightness Curves for All Insertion Devices Insertion Device and Bend Magnet Parameters Bend Magnet Superbend Magnet U30 Undulator U50 Undulator U80 Undulator U100 Undulator W114 Wiggler The ALS has six elliptically polarizing undulators, two in straight 4, two in straight 11, and one each in straights 6 and 7. All are arranged with chicanes so that two such devices can be installed to feed two independent beamlines. They can be used in a variety of polarization modes, including circular, elliptical, horizontal, and vertical. These modes can be chosen by appropriate phasing of the magnet rows. The brightness and flux curves below are shown for horizontal and circular polarization. Curves for elliptical and vertical polarization are similar to the horizontal polarization curve, but the minimum photon energy is higher.

209

Photon Source Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Photon Source Parameters Print Photon Source Parameters Print Summary Graph of Brightness Curves for All Insertion Devices Insertion Device and Bend Magnet Parameters Bend Magnet Superbend Magnet U30 Undulator U50 Undulator U80 Undulator U100 Undulator W114 Wiggler The ALS has six elliptically polarizing undulators, two in straight 4, two in straight 11, and one each in straights 6 and 7. All are arranged with chicanes so that two such devices can be installed to feed two independent beamlines. They can be used in a variety of polarization modes, including circular, elliptical, horizontal, and vertical. These modes can be chosen by appropriate phasing of the magnet rows. The brightness and flux curves below are shown for horizontal and circular polarization. Curves for elliptical and vertical polarization are similar to the horizontal polarization curve, but the minimum photon energy is higher.

210

Photon Source Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Photon Source Parameters Print Photon Source Parameters Print Summary Graph of Brightness Curves for All Insertion Devices Insertion Device and Bend Magnet Parameters Bend Magnet Superbend Magnet U30 Undulator U50 Undulator U80 Undulator U100 Undulator W114 Wiggler The ALS has six elliptically polarizing undulators, two in straight 4, two in straight 11, and one each in straights 6 and 7. All are arranged with chicanes so that two such devices can be installed to feed two independent beamlines. They can be used in a variety of polarization modes, including circular, elliptical, horizontal, and vertical. These modes can be chosen by appropriate phasing of the magnet rows. The brightness and flux curves below are shown for horizontal and circular polarization. Curves for elliptical and vertical polarization are similar to the horizontal polarization curve, but the minimum photon energy is higher.

211

www.mmu.ac.uk/careers Careers & Employability Service  

E-Print Network (OSTI)

.mmu.ac.uk/careers Identifying courses · www.prospects.ac.uk/search_courses.htm · www.jobs.ac.uk · www.Findamasters.com · www.mmu.ac.uk/careers PG Professional/Vocational courses: Courses to allow you to enter certain professions Courses involve lectures for the first two terms then a research project for the final term (often finishing after

212

AC H I E V I NG  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

AC AC H I E V I NG The Department's strategic plan flow is highlighted in the cascade below beginning with the mission statement which flows to the strategic themes. The strategic themes connect to the broader strategic goals and are linked to the annual performance goals in the performance budget through the multi-year program plans. The multi-year program plans allow DOE to strategize over a five-year period how each program will implement the strategic goals of the Department. Annual performance goals and assessment of performance against prior-year

213

Result-Driven Exploration of Simulation Parameter Spaces for Visual Effects Design  

E-Print Network (OSTI)

Result-Driven Exploration of Simulation Parameter Spaces for Visual Effects Design Stefan Bruckner visualization system then allows the user to explore the simulation space in a goal-oriented manner. Animation to modify the simulation parameters via standard con- trols such as sliders or numeric input fields

214

EXPERIMENTAL STUDY OF ELECTROLYTE DEPENDENCE OF AC ELECTROOSMOTIC PUMPS  

E-Print Network (OSTI)

EXPERIMENTAL STUDY OF ELECTROLYTE DEPENDENCE OF AC ELECTROOSMOTIC PUMPS Kapil Subramanian1 , John Abstract: Recent studies indicate increased efficiency of microfluidic ac electro-osmotic pumps of ac electroosmosis in microchannels on solution chemistry for the new fast aceo stepped pumps

Bazant, Martin Z.

215

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

SciTech Connect

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.

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

2014-08-01T23:59:59.000Z

216

Characterization of industrial process waste heat and input heat streams  

SciTech Connect

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)

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

217

A comparative study of avionics control input methods  

E-Print Network (OSTI)

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

Barber, John Robert

1984-01-01T23:59:59.000Z

218

The Use of experiments on a single fuel element to determine the nuclear parameters of reactor lattices  

E-Print Network (OSTI)

The nuclear parameters of a reactor lattice may be determined by critical experiments on that lattice, by theoretical calculations in which only cross sections are used as input, or by methods which combine theory and ...

Pilat, E. E., 1937-

1967-01-01T23:59:59.000Z

219

www.jubileecentre.ac.uk JAMES ARTHUR  

E-Print Network (OSTI)

www.jubileecentre.ac.uk JAMES ARTHUR KRISTJÁN KRISTJÁNSSON HYWEL THOMAS MICHAEL HOLDSWORTH LUCA BADINI CONFALONIERI TIAN QIU FOREWORD BY PROFESSOR ADRIAN EVANS VIRTUOUS CHARACTERFOR THE PRACTICE OF LAW by Professor James Arthur. Based at the University of Birmingham, it has a dedicated team of 30 academics from

Birmingham, University of

220

AN "AC INDUCTOR" BASED GRID CONNECTED INVERTER  

E-Print Network (OSTI)

AN "AC INDUCTOR" BASED GRID CONNECTED INVERTER Ilya Zeltser, Student Member, IEEE and Sam Ben proposes a soft switched Output Current Sourcing (OCS) grid connected inverter that applies a high sourcing inverters where the small disturbance at the line voltage may lead to current run away

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

ACS Installation During SM3B Introduction  

E-Print Network (OSTI)

ACS Installation During SM3B Introduction: · Installed during SM3B in March 2002 · Powerful 3rd · Over-voltage Protection kit installed · Optical Control Electronics connected · New Outer Blanket Layer, and coronagraph ­ Solar Blind Channel (SBC) : HST's most sensitive ultraviolet photon-counting detector 115-180 nm

Sirianni, Marco

222

Appendix AC Exceptions to Delegated Purchasing Authority  

E-Print Network (OSTI)

Appendix AC Exceptions to Delegated Purchasing Authority Delegated purchasing authority for professions exempted by 18-4-132, MCA The following services are exempt from Purchasing Procedures per Montana provider - Expert witness hired for use in litigation, Hearings Officer hired in rulemaking and contested

Dyer, Bill

223

BNL | ATF Beamline Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Beamline Parameters Beamline Parameters Electron beam energy: 25 to 76 MeV Temporal structure: Macropulse length: 3 microseconds Macropulse repetition rate from under 1 PPS to 3 PPS. Micropulse repetition period 12.25 ns or 24.5 ns. Micropulse length variable from about 1 ps FWHM to 10 ps FWHM. Electron beam charge: continuously variable. Single micropulse charge from zero to a few nanoculombs. Bunch train charge up to about 10 nanoculombs. Emittance: depends on various conditions, e.g. peak current, gun field, microbunch length etc. At 1 nC we have measured the emittance at 2.6 mm mrad (rms normalized) at a bunch length of 10 ps FWHM. The local emittance (Slice Emittance) is smaller, measured 1.4 mm mrad for a slice out of the 1 nC bunch. Stability: (approx.) 1 ps in short term phase, 1% of beam diameter

224

US Nuclear Regulatory Commission Input to DOE Request for Information Smart  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

US Nuclear Regulatory Commission Input to DOE Request for 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 Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input. Comments relevant to the following two sections of the RFI: "Long Term Issues: Managing a Grid with High Penetration of New Technologies" and "Reliability and Cyber-Security," US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input More Documents & Publications Comments of DRSG to DOE Smart Grid RFI: Addressing Policy and Logistical Challenges Reply Comments of Entergy Services, Inc. Progress Energy draft regarding Smart Grid RFI: Addressing Policy and

225

Residential oil burners with low input and two stages firing  

SciTech Connect

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

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

1997-12-31T23:59:59.000Z

226

Heat transfer analysis in Stirling engine heat input system  

SciTech Connect

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

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

1995-12-31T23:59:59.000Z

227

Geographic and Operational Site Parameters List (GOSPL) for the 2004 Composite Analysis  

SciTech Connect

This report briefly describes each of the key data fields, including the source(s) of data, and provides the resulting inputs to be used for the 2004 Composite Analysis. A master spreadsheet termed the Geographic and Operational Site Parameters List (GOSPL) was assembled to facilitate the generation of keyword input files containing general information on each waste site, its operational/disposal history, and its environmental settings (past, current, and future).

Last, George V.; Nichols, William E.; Kincaid, Charles T.

2004-07-01T23:59:59.000Z

228

New approaches to estimation of magnetotelluric parameters  

SciTech Connect

Fully efficient robust data processing procedures were developed and tested for single station and remote reference magnetotelluric (Mr) data. Substantial progress was made on development, testing and comparison of optimal procedures for single station data. A principal finding of this phase of the research was that the simplest robust procedures can be more heavily biased by noise in the (input) magnetic fields, than standard least squares estimates. To deal with this difficulty we developed a robust processing scheme which combined the regression M-estimate with coherence presorting. This hybrid approach greatly improves impedance estimates, particularly in the low signal-to-noise conditions often encountered in the dead band'' (0.1--0.0 hz). The methods, and the results of comparisons of various single station estimators are described in detail. Progress was made on developing methods for estimating static distortion parameters, and for testing hypotheses about the underlying dimensionality of the geological section.

Egbert, G.D.

1991-01-01T23:59:59.000Z

229

T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm'...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting...

230

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Attacks U-050: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting Attacks December 2, 2011 - 5:24am Addthis PROBLEM: Adobe Flex SDK Input Validation Flaw Permits...

231

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

232

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

Energy.gov (U.S. Department of Energy (DOE)) 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...

233

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

234

Integrating surprisal and uncertain-input models in online sentence comprehension: formal techniques and empirical results  

Science Journals Connector (OSTI)

A system making optimal use of available information in incremental language comprehension might be expected to use linguistic knowledge together with current input to revise beliefs about previous input. Under some circumstances, such an error-correction ...

Roger Levy

2011-06-01T23:59:59.000Z

235

AC Solar Inc | Open Energy Information  

Open Energy Info (EERE)

Logo: AC Solar Inc Name AC Solar Inc Address P.O. Box 128 Place Florence, Colorado Zip 81226 Sector Solar Product Solar and wind sales for residential Website http://www.acsolar.com/ Coordinates 38.381551°, -105.112265° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.381551,"lon":-105.112265,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

236

Time-lag of record inputs to the international nuclear information system bibliographic database  

Science Journals Connector (OSTI)

This paper discusses the timeliness in inputting bibliographical records to international databases with a case study of the international nuclear information system bibliographic database from the inception (1970) to the year 2008. The authors have attempted to calculate the overall and average inputting time-lag of the database. The time-lags of inputting countries and international organisations are analysed separately. The study also tries to identify the nature of inputs that are responsible for this delayed response.

E.R. Prakasan; Nita Bhaskar; K. Bhanumurthy

2011-01-01T23:59:59.000Z

237

Electrochromic Glazings: Animation Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Glazings Glazings Animation Simulation Parameters The Electrochromic Glazing Office Animation is created using an image compositing method whereby separate images of the office generated with only one source of illumination are added together in variable percentages to come up with the final image. This method assumes that the sources of illumination do not change position through the animation sequence. Although the sun does move approximately 5 degrees during the span of this 20 minute animation sequence, because this movement is not the focus of the simulation and does not significantly change the intensity of the solar exposure, it is ignored. This method takes advantage of the principal of the scalability of light to avoid the significant time involved in calculating separate Radiance renderings for each combination of sky condition (direct sun versus no direct sun) and electrochromic glazing transmission.

238

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

E-Print Network (OSTI)

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

O'Sullivan, Carol

239

Broadband calibrated scattering parameters characterization of a superconducting quantum interference device amplifier  

SciTech Connect

In this work, we characterize the 2-port scattering parameters of a superconducting quantum interference device amplifier at {approx}20 mK over several gigahertz of bandwidth. The measurement reference plane is positioned on a 6.25 {Omega} microstrip line situated directly at the input and output of the device by means of a thru-reflect-line cryogenic calibration procedure. From the scattering parameters, we derive the device available power gain, isolation, and input impedance over the 2-8 GHz range. This measurement methodology provides a path towards designing wide-band matching circuits for low impedance superconducting amplifiers operating at dilution refrigerator temperatures.

Ranzani, Leonardo [National Institute of Standards and Technology, Boulder, Colorado 80305 (United States); University of Colorado at Boulder, Boulder, Colorado 80309 (United States); Spietz, Lafe; Aumentado, Jose [National Institute of Standards and Technology, Boulder, Colorado 80305 (United States)

2013-07-08T23:59:59.000Z

240

AC Resonant charger with charge rate unrelated to primary power frequency  

DOE Patents (OSTI)

An AC resonant charger for a capacitive load, such as a PFN, is provided with a variable repetition rate unrelated to the frequency of a multi-phase AC power source by using a control unit to select and couple the phase of the power source to the resonant charger in order to charge the capacitive load with a phase that is the next to begin a half cycle. For optimum range in repetition rate and increased charging voltage, the resonant charger includes a step-up transformer and full-wave rectifier. The next phase selected may then be of either polarity, but is always selected to be of a polarity opposite the polarity of the last phase selected so that the transformer core does not saturate. Thyristors are used to select and couple the correct phase just after its zero crossover in response to a sharp pulse generated by a zero-crossover detector. The thyristor that is turned on then automatically turns off after a full half cycle of its associated phase input. A full-wave rectifier couples the secondary winding of the transformer to the load so that the load capacitance is always charged with the same polarity.

Watson, Harold (Torrance, CA)

1982-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

www.sheffield.ac.uk/careers Develop Your  

E-Print Network (OSTI)

Marketplace' run by the Careers Service and HSBC Bank www.shef. ac.uk/careers/students/advice/sfs. 10. If you

Martin, Stephen John

242

Multi-parameter estimating photometric redshifts with artificial neural networks  

E-Print Network (OSTI)

We calculate photometric redshifts from the Sloan Digital Sky Survey Data Release 2 Galaxy Sample using artificial neural networks (ANNs). Different input patterns based on various parameters (e.g. magnitude, color index, flux information) are explored and their performances for redshift prediction are compared. For ANN technique, any parameter may be easily incorporated as input, but our results indicate that using dereddening magnitude produces photometric redshift accuracies often better than the Petrosian magnitude or model magnitude. Similarly, the model magnitude is also superior to Petrosian magnitude. In addition, ANNs also show better performance when the more effective parameters increase in the training set. Finally, the method is tested on a sample of 79, 346 galaxies from the SDSS DR2. When using 19 parameters based on the dereddening magnitude, the rms error in redshift estimation is sigma(z)=0.020184. The ANN is highly competitive tool when compared with traditional template-fitting methods where a large and representative training set is available.

Lili Li; Yanxia Zhang; Yongheng Zhao; Dawei Yang

2006-12-28T23:59:59.000Z

243

Wall-plug (AC) power consumption of a very high energy e+/e- storage ring collider  

E-Print Network (OSTI)

Estimated AC power consumption ranges from ~280 MW (1) to 416 MW (2) for a 350 GeV E_cm 80 km circumference colliding beam storage ring complex with parameters given in (1). The difference between the two estimates is from differing assumptions concerning heat removal, cryo-plant efficiency, klystron operation etc. The purpose of this note is to list and explain these. (1) Mike Koratzinos, et al, IPAC13 (2) Marc Ross, Higgs Quo Vadis Workshop, March 2013.

Ross, Marc C

2013-01-01T23:59:59.000Z

244

,"U.S. Blender Net Input"  

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

Monthly","9/2013","1/15/2005" Monthly","9/2013","1/15/2005" ,"Release Date:","11/27/2013" ,"Next Release Date:","Last Week of December 2013" ,"Excel File Name:","pet_pnp_inpt3_dc_nus_mbbl_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_inpt3_dc_nus_mbbl_m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202) 586-8800",,,"11/25/2013 11:22:43 AM" "Back to Contents","Data 1: U.S. Blender Net Input" "Sourcekey","MTXRB_NUS_1","M_EPL0_YIB_NUS_MBBL","MPPRB_NUS_1","M_EPLL_YIB_NUS_MBBL","MBNRB_NUS_1","MBIRB_NUS_1","M_EPOL_YIB_NUS_MBBL","M_EPOOXR_YIB_NUS_MBBL","MMTRB_NUS_1","M_EPOOR_YIB_NUS_MBBL","MFERB_NUS_1","M_EPOORD_YIB_NUS_MBBL","M_EPOORO_YIB_NUS_MBBL","M_EPPU_YIB_NUS_MBBL","M_EPOUN_YIB_NUS_MBBL","M_EPOUK_YIB_NUS_MBBL","M_EPOUH_YIB_NUS_MBBL","M_EPOUR_YIB_NUS_MBBL","MBCRB_NUS_1","MO1RB_NUS_1","M_EPOBGRR_YIB_NUS_MBBL","MO3RB_NUS_1","MO4RB_NUS_1","MO2RB_NUS_1","MO5RB_NUS_1","MO6RB_NUS_1","MO7RB_NUS_1","MO9RB_NUS_1"

245

Gross Input to Atmospheric Crude Oil Distillation Units  

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

Day) Day) Process: Gross Input to Atmospheric Crude Oil Dist. Units Operable Capacity (Calendar Day) Operating Capacity Idle Operable Capacity Operable Utilization Rate Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Process Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History U.S. 15,283 15,709 16,327 16,490 16,306 16,162 1985-2013 PADD 1 1,134 1,188 1,178 1,142 1,122 1,130 1985-2013 East Coast 1,077 1,103 1,080 1,058 1,031 1,032 1985-2013 Appalachian No. 1 57 85 98 84 90 97 1985-2013 PADD 2 3,151 3,087 3,336 3,572 3,538 3,420 1985-2013 Ind., Ill. and Ky. 2,044 1,947 2,069 2,299 2,330 2,266 1985-2013

246

Interface module for transverse energy input to dye laser modules  

DOE Patents (OSTI)

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

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

1994-01-01T23:59:59.000Z

247

Noise-induced dephasing of an ac-driven Josephson junction  

E-Print Network (OSTI)

We consider phase-locked dynamics of a Josephson junction driven by finite-spectral-linewidth ac current. By means of a transformation, the effect of frequency fluctuations is reduced to an effective additive noise, the corresponding (large) dephasing time being determined, in the logarithmic approximation, by the Kramers' expression for the lifetime. For sufficiently small values of the drive's amplitude, direct numerical simulations show agreement of the dependence of the dephasing activation energy on the ac-drive's spectral linewidth and amplitude with analytical predictions. Solving the corresponding Fokker-Planck equation analytically, we find a universal dependence of a critical value of the effective phase-diffusion parameter on the drive's amplitude at a point of a sharp transition from the phase-locked state to an unlocked one. For large values of the drive amplitude, saturation and subsequent decrease of the activation energy are revealed by simulations, which cannot be accounted for by the perturbative analysis. The same new effect is found for a previously studied case of ac-driven Josephson junctions with intrinsic thermal noise. The work was performed in the framework of a cooperation agreement between Consiglio Nazionale di Ricerca (Italy) and the Israeli Ministry of Science and Technology.

Giovanni Filatrella; Boris A. Malomed; Sergio Pagano

2002-03-28T23:59:59.000Z

248

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

U-001:Symantec IM Manager Input Validation Flaws U-001:Symantec IM Manager Input Validation Flaws U-001:Symantec IM Manager Input Validation Flaws October 3, 2011 - 12:45pm Addthis PROBLEM: Symantec IM Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Code Execution Attacks. PLATFORM: Version(s): prior to 8.4.18 ABSTRACT: Symantec IM Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Code Execution Attacks. reference LINKS: Security Advisory: SYM11-012 SecurityTracker Alert ID: 1026130 IMPACT ASSESSMENT: Medium Discussion: Several vulnerabilities were reported in Symantec IM Manager. A remote user can conduct cross-site scripting attacks. A remote user can inject SQL commands. Several scripts do not properly filter HTML code from user-supplied input before displaying the input [CVE-2011-0552]. A remote user can create a

249

The Impact of Best Track Discrepancies on Global Tropical Cyclone Climatologies using IBTrACS  

Science Journals Connector (OSTI)

Using the International Best Track Archive for Climate Stewardship (IBTrACS), the climatology of tropical cyclones is compared between two global best track datasets: 1) the World Meteorological Organization (WMO) subset of IBTrACS (IBTrACS-WMO) ...

Carl J. Schreck III; Kenneth R. Knapp; James P. Kossin

2014-10-01T23:59:59.000Z

250

E-Print Network 3.0 - ac voltage standard Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

"volts, AC"), the "secondary" voltage is roughly 6 VAC. We shall use the "Universal Transformer... :" conversion of AC to DC You can use a diode to convert the AC voltage of the...

251

E-Print Network 3.0 - ac systems Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

Summary: -6261 E-mail: kuni@mind.c.u-tokyo.ac.jp http:mind.c.u-tokyo.ac.jpindex-j.html 1890 20 Systems... 12;1 4647 4025 http:bio.c.u-tokyo.ac... ......

252

E-Print Network 3.0 - ac graftrope system Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

Summary: -6261 E-mail: kuni@mind.c.u-tokyo.ac.jp http:mind.c.u-tokyo.ac.jpindex-j.html 1890 20 Systems... 12;1 4647 4025 http:bio.c.u-tokyo.ac... ......

253

Nucleic Acid Standards - Refinement Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Refinement Parameters Refinement Parameters The DNA/RNA topology and parameter files for X-PLOR are shown below. These were tested with DNA structures and with protein-DNA complexes. X-PLOR topology file X-PLOR parameter files: X-PLOR parameter file For the refinement of high resolution structures (< 1.7 Angstroms) the parameter file with distinct bond distances and bond angles for both C2'-endo and C3'-endo conformations should be considered: X-PLOR parameter file for high resolution structures "New Parameters for the Refinement of Nucleic Acid Containing Structures." Gary Parkinson, Jaroslav Vojtechovsky, Lester Clowney, Axel Brunger*, and Helen M. Berman. (1996) Acta Cryst. D 52, 57-64 Rutgers University, Department of Chemistry, Piscataway, NJ 08855-0939; *The Howard Hughes Medical Institute and Departments of Molecular and

254

,"U.S. Refinery Net Input"  

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

3,"Monthly","9/2013","1/15/2005" 3,"Monthly","9/2013","1/15/2005" ,"Data 2","Alaskan Crude Oil Receipts",1,"Monthly","9/2013","1/15/1986" ,"Release Date:","11/27/2013" ,"Next Release Date:","Last Week of December 2013" ,"Excel File Name:","pet_pnp_inpt2_dc_nus_mbbl_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_inpt2_dc_nus_mbbl_m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202) 586-8800",,,"11/25/2013 11:21:05 AM" "Back to Contents","Data 1: Refinery Net Input" "Sourcekey","MTTRO_NUS_1","MCRRO_NUS_1","MNGRO_NUS_1","MPPRO_NUS_1","MLPRO_NUS_1","MBNRO_NUS_1","MBIRO_NUS_1","MOLRO_NUS_1","MOHRO_NUS_1","M_EPOOOH_YIY_NUS_MBBL","M_EPOOXXFE_YIY_NUS_MBBL","MMTRO_NUS_1","MOORO_NUS_1","M_EPOOR_YIY_NUS_MBBL","MFERO_NUS_1","M_EPOORD_YIY_NUS_MBBL","M_EPOORO_YIY_NUS_MBBL","M_EPOOOXH_YIY_NUS_MBBL","MUORO_NUS_1","MNLRO_NUS_1","MKORO_NUS_1","MH1RO_NUS_1","MRURO_NUS_1","MBCRO_NUS_1","MO1RO_NUS_1","M_EPOBGRR_YIY_NUS_MBBL","MO3RO_NUS_1","MO4RO_NUS_1","MO5RO_NUS_1","MO6RO_NUS_1","MO7RO_NUS_1","MO9RO_NUS_1","MBARO_NUS_1"

255

,"U.S. Refinery Net Input"  

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

2,"Annual",2012,"6/30/2005" 2,"Annual",2012,"6/30/2005" ,"Data 2","Alaskan Crude Oil Receipts",1,"Annual",2012,"6/30/1986" ,"Release Date:","9/27/2013" ,"Next Release Date:","9/26/2014" ,"Excel File Name:","pet_pnp_inpt2_dc_nus_mbbl_a.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_inpt2_dc_nus_mbbl_a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202) 586-8800",,,"11/25/2013 11:21:04 AM" "Back to Contents","Data 1: Refinery Net Input" "Sourcekey","MTTRO_NUS_1","MCRRO_NUS_1","MNGRO_NUS_1","MPPRO_NUS_1","MLPRO_NUS_1","MBNRO_NUS_1","MBIRO_NUS_1","MOLRO_NUS_1","MOHRO_NUS_1","M_EPOOOH_YIY_NUS_MBBL","M_EPOOXXFE_YIY_NUS_MBBL","MMTRO_NUS_1","MOORO_NUS_1","M_EPOOR_YIY_NUS_MBBL","MFERO_NUS_1","M_EPOORD_YIY_NUS_MBBL","M_EPOOOXH_YIY_NUS_MBBL","MUORO_NUS_1","MNLRO_NUS_1","MKORO_NUS_1","MH1RO_NUS_1","MRURO_NUS_1","MBCRO_NUS_1","MO1RO_NUS_1","M_EPOBGRR_YIY_NUS_MBBL","MO3RO_NUS_1","MO4RO_NUS_1","MO5RO_NUS_1","MO6RO_NUS_1","MO7RO_NUS_1","MO9RO_NUS_1","MBARO_NUS_1"

256

Magnetostrictive materials and method for improving AC characteristics in same  

DOE Patents (OSTI)

The present invention provides Terfenol-D alloys ("doped" Terfenol) having optimized performances under the condition of time-dependent magnetic fields. In one embodiment, performance is optimized by lowering the conductivity of Terfenol, thereby improving the frequency response. This can be achieved through addition of Group III or IV elements, such as Si and Al. Addition of these types of elements provides scattering sites for conduction electrons, thereby increasing resistivity by 125% which leads to an average increase in penetration depth of 80% at 1 kHz and an increase in energy conversion efficiency of 55%. The permeability of doped Terfenol remains constant over a wider frequency range as compared with undoped Terfenol. These results demonstrate that adding impurities, such as Si and Al, are effective in improving the ac characteristics of Terfenol. A magnetoelastic Gruneisen parameter, .gamma..sub.me, has also been derived from the thermodynamic equations of state, and provides another means by which to characterize the coupling efficiency in magnetostrictive materials on a more fundamental basis.

Pulvirenti, Patricia P. (Chicago, IL); Jiles, David C. (Ames, IA)

2001-08-14T23:59:59.000Z

257

Subsurface Geotechnical Parameters Report  

SciTech Connect

The Yucca Mountain Project is entering a the license application (LA) stage in its mission to develop the nation's first underground nuclear waste repository. After a number of years of gathering data related to site characterization, including activities ranging from laboratory and site investigations, to numerical modeling of processes associated with conditions to be encountered in the future repository, the Project is realigning its activities towards the License Application preparation. At the current stage, the major efforts are directed at translating the results of scientific investigations into sets of data needed to support the design, and to fulfill the licensing requirements and the repository design activities. This document addresses the program need to address specific technical questions so that an assessment can be made about the suitability and adequacy of data to license and construct a repository at the Yucca Mountain Site. In July 2002, the U.S. Nuclear Regulatory Commission (NRC) published an Integrated Issue Resolution Status Report (NRC 2002). Included in this report were the Repository Design and Thermal-Mechanical Effects (RDTME) Key Technical Issues (KTI). Geotechnical agreements were formulated to resolve a number of KTI subissues, in particular, RDTME KTIs 3.04, 3.05, 3.07, and 3.19 relate to the physical, thermal and mechanical properties of the host rock (NRC 2002, pp. 2.1.1-28, 2.1.7-10 to 2.1.7-21, A-17, A-18, and A-20). The purpose of the Subsurface Geotechnical Parameters Report is to present an accounting of current geotechnical information that will help resolve KTI subissues and some other project needs. The report analyzes and summarizes available qualified geotechnical data. It evaluates the sufficiency and quality of existing data to support engineering design and performance assessment. In addition, the corroborative data obtained from tests performed by a number of research organizations is presented to reinforce conclusions derived from the pool of data gathered within a full QA-controlled domain. An evaluation of the completeness of the current data is provided with respect to the requirements for geotechnical data to support design and performance assessment.

D. Rigby; M. Mrugala; G. Shideler; T. Davidsavor; J. Leem; D. Buesch; Y. Sun; D. Potyondy; M. Christianson

2003-12-17T23:59:59.000Z

258

E-Print Network 3.0 - ac conduction properties Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

measure the dynamical conductance of electrically contacted single-walled carbon nanotubes at dc and ac... between the ac ... Source: Burke, Peter - Department of Electrical...

259

AVTA: Siemens-VersiCharge AC Level 2 Charging System Testing...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Siemens-VersiCharge AC Level 2 Charging System Testing Results AVTA: Siemens-VersiCharge AC Level 2 Charging System Testing Results The Vehicle Technologies Office's Advanced...

260

56TH ACS NORTHWEST REGIONAL MEETING  

Science Journals Connector (OSTI)

56TH ACS NORTHWEST REGIONAL MEETING ... Several plenary sessions and interdisciplinary public lectures will address this theme, including "Technology for the 21st Century," presented by Lura J. Powell, director, Pacific Northwest National Laboratory; "DNA and Molecular Recognition," presented by Jacqueline Barton, California Institute of Technology; "Bioengineering Tissues," presented by Buddy Ratner, University of Washington; "History and Chemistry of Plutonium Extraction at Hanford," presented by Earl Wheelwright, Pacific Northwest National Laboratory; "Life in the Universe," presented by Donald Brownlee, University ofWashington; "Climate Change: How Will It Affect the Pacific Northwest?" presented by Jae Edmonds, Pacific Northwest National Laboratory; and "The Future of Science Education," presented by ... ...

2001-05-14T23:59:59.000Z

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Modeling the cardiovascular system using a nonlinear additive autoregressive model with exogenous input  

Science Journals Connector (OSTI)

The parameters of heart rate variability and blood pressure variability have proved to be useful analytical tools in cardiovascular physics and medicine. Model-based analysis of these variabilities additionally leads to new prognostic information about mechanisms behind regulations in the cardiovascular system. In this paper, we analyze the complex interaction between heart rate, systolic blood pressure, and respiration by nonparametric fitted nonlinear additive autoregressive models with external inputs. Therefore, we consider measurements of healthy persons and patients suffering from obstructive sleep apnea syndrome (OSAS), with and without hypertension. It is shown that the proposed nonlinear models are capable of describing short-term fluctuations in heart rate as well as systolic blood pressure significantly better than similar linear ones, which confirms the assumption of nonlinear controlled heart rate and blood pressure. Furthermore, the comparison of the nonlinear and linear approaches reveals that the heart rate and blood pressure variability in healthy subjects is caused by a higher level of noise as well as nonlinearity than in patients suffering from OSAS. The residue analysis points at a further source of heart rate and blood pressure variability in healthy subjects, in addition to heart rate, systolic blood pressure, and respiration. Comparison of the nonlinear models within and among the different groups of subjects suggests the ability to discriminate the cohorts that could lead to a stratification of hypertension risk in OSAS patients.

M. Riedl; A. Suhrbier; H. Malberg; T. Penzel; G. Bretthauer; J. Kurths; N. Wessel

2008-07-24T23:59:59.000Z

262

Method and apparatus for pulse width modulation control of an AC induction motor  

DOE Patents (OSTI)

An inverter is connected between a source of DC power and a three-phase AC induction motor, and a micro-processor-based circuit controls the inverter using pulse width modulation techniques. In the disclosed method of pulse width modulation, both edges of each pulse of a carrier pulse train are equally modulated by a time proportional to sin .THETA., where .THETA. is the angular displacement of the pulse center at the motor stator frequency from a fixed reference point on the carrier waveform. The carrier waveform frequency is a multiple of the motor stator frequency. The modulated pulse train is then applied to each of the motor phase inputs with respective phase shifts of 120.degree. at the stator frequency. Switching control commands of electronic switches in the inverter are stored in a random access memory (RAM) and the locations of the RAM are successively read out in a cyclic manner, each bit of a given RAM location controlling a respective phase input of the motor. The DC power source preferably comprises rechargeable batteries and all but one of the electronic switches in the inverter can be disabled, the remaining electronic switch being part of a "flyback" DC-DC converter circuit for recharging the battery.

Geppert, Steven (Bloomfield Hills, MI); Slicker, James M. (Union Lake, MI)

1984-01-01T23:59:59.000Z

263

www.mmu.ac.uk/careers Careers & Employability Service  

E-Print Network (OSTI)

to prepare? Alison Proudlove Thursday, June 07, 2012 1 #12;www.mmu.ac.uk/careers What will we cover researched the organisation #12;www.mmu.ac.uk/careers Use your time wisely · If there are large queues , have

264

Electrostatic coalescence system with independent AC and DC hydrophilic electrodes  

DOE Patents (OSTI)

An improved electrostatic coalescence system is provided in which independent AC and DC hydrophilic electrodes are employed to provide more complete dehydration of an oil emulsion. The AC field is produced between an AC electrode array and the water-oil interface wherein the AC electrode array is positioned parallel to the interface which acts as a grounded electrode. The emulsion is introduced into the AC field in an evenly distributed manner at the interface. The AC field promotes drop-drop and drop-interface coalescence of the water phase in the entering emulsion. The continuous oil phase passes upward through the perforated AC electrode array and enters a strong DC field produced between closely spaced DC electrodes in which small dispersed droplets of water entrained in the continuous phase are removed primarily by collection at hydrophilic DC electrodes. Large droplets of water collected by the electrodes migrate downward through the AC electrode array to the interface. All phase separation mechanisms are utilized to accomplish more complete phase separation.

Hovarongkura, A. David (Arlington, VA); Henry, Jr., Joseph D. (Morgantown, WV)

1981-01-01T23:59:59.000Z

265

IT Services go.warwick.ac.uk/whatsnew2010  

E-Print Network (OSTI)

to enable us to develop it as you would like. https://start.warwick.ac.uk/ Warwick Forward Warwick Forward. The domain itself must be registered with an external company by you. http://forward.warwick.ac.uk/ Files to navigate. · Files Transfer Utility. Enable access via a drive letter in Windows Explorer (or equivalent

Davies, Christopher

266

Gas sensing properties of magnesium doped SnO{sub 2} thin films in relation to AC conduction  

SciTech Connect

Conducting magnesium doped (0 to 1.5 wt %) tin oxide thin films prepared by Spray Pyrolysis technique achieved detection of 1000 ppm of LPG. The films deposited at 304 C exhibit an enhanced response at an operating temperature of 350 C. The microstructural properties are studied by means of X-ray diffraction. AC conductivity measurements are carried out using precision LCR meter to analyze the parameters that affect the variation in sensing. The results are correlated with compositional parameters and the subsequent modification in the charge transport mechanism facilitating an enhanced LPG sensing action.

Deepa, S.; Skariah, Benoy, E-mail: dr.boben1@gmail.com; Thomas, Boben, E-mail: dr.boben1@gmail.com [Research Centre in Physics, Mar Athanasius College, Kothamangalam P.O., Kerala 686 666 (India); Joseph, Anisha [Dept.of Physics, Holy Grace Academy of Engineering for Women, Mala, Kerala 683 102 (India)

2014-01-28T23:59:59.000Z

267

Multi-parameter bidding method: development of parameters  

E-Print Network (OSTI)

cycle cost analysis Limited warranty Extended warranty Life cycle perform- ance anal sis Responsibil- ity for qual- ity 10iyi'o owner ~ Shared (e. g. , con- tractor QC ? owner acceptance) TABLE 2. Description of Traditional Contracting Method... matrix. Input of profes- sionals such as these were invaluable for this thesis. A panel consisting of key construction personnel from different Department of Transportation (DOT), Federal Highway Administration (FHWA), surety companies...

Rahman, Suhel Parvez

2012-06-07T23:59:59.000Z

268

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

SciTech Connect

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.

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

2013-01-01T23:59:59.000Z

269

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4: Splunk Web Input Validation Flaw Permits Cross-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 PROBLEM: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks PLATFORM: Version(s): 4.3.0 through 4.3.5 ABSTRACT: A vulnerability was reported in Splunk Web. REFERENCE LINKS: SecurityTracker Alert ID: 1028371 Splunk IMPACT ASSESSMENT: High DISCUSSION: Splunk Web does not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause arbitrary scripting code to be executed by the target user's browser. The code will originate from the site running the Splunk Web software and will run in the security context of that site. As a result, the code will be able to access the

270

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2: Barracuda Web Filter Input Validation Flaws Permit 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 6, 2012 - 6:00am Addthis PROBLEM: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks PLATFORM: Barracuda Web Filter 5.0.015 is vulnerable; other versions may also be affected. ABSTRACT: Barracuda Web Filter Authentication Module Multiple HTML Injection Vulnerabilities reference LINKS: Barracuda Networks Barracuda Networks Security ID: BNSEC-279/BNYF-5533 SecurityTracker Alert ID: 1027500 Bugtraq ID: 55394 seclists.org IMPACT ASSESSMENT: Medium Discussion: Two scripts not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause arbitrary scripting code to

271

T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

70: Skype Input Validation Flaw in 'mobile phone' Profile Entry 70: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits Cross-Site Scripting Attacks T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits Cross-Site Scripting Attacks July 18, 2011 - 7:09am Addthis PROBLEM: A vulnerability was reported in Skype. A remote user can conduct cross-site scripting attacks. PLATFORM: 5.3.0.120 and prior versions ABSTRACT: The software does not properly filter HTML code from user-supplied input in the The "mobile phone" profile entry before displaying the input. reference LINKS: SecurityTracker Alert ID: 1025789 Skype Security Advisory KoreSecure News H Security ID: 1279864 IMPACT ASSESSMENT: High Discussion: Skype suffers from a persistent Cross-Site Scripting vulnerability due to a lack of input validation and output sanitization of the "mobile phone"

272

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

0: Adobe Flex SDK Input Validation Flaw Permits Cross-Site 0: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting Attacks U-050: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting Attacks December 2, 2011 - 5:24am Addthis PROBLEM: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting Attacks. PLATFORM: Adobe Flex SDK 4.5.1 and earlier 4.x versions for Windows, Macintosh and Linux Adobe Flex SDK 3.6 and earlier 3.x versions for Windows, Macintosh and Linux ABSTRACT: Flex applications created using the Flex SDK may not properly filter HTML code from user-supplied input before displaying the input. reference LINKS: Adobe Security Bulletin CVE-2011-2461 SecurityTracker Alert ID: 1026361 IMPACT ASSESSMENT: High Discussion: A remote user may be able to cause arbitrary scripting code to be executed

273

T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

0: Skype Input Validation Flaw in 'mobile phone' Profile Entry 0: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits Cross-Site Scripting Attacks T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits Cross-Site Scripting Attacks July 18, 2011 - 7:09am Addthis PROBLEM: A vulnerability was reported in Skype. A remote user can conduct cross-site scripting attacks. PLATFORM: 5.3.0.120 and prior versions ABSTRACT: The software does not properly filter HTML code from user-supplied input in the The "mobile phone" profile entry before displaying the input. reference LINKS: SecurityTracker Alert ID: 1025789 Skype Security Advisory KoreSecure News H Security ID: 1279864 IMPACT ASSESSMENT: High Discussion: Skype suffers from a persistent Cross-Site Scripting vulnerability due to a lack of input validation and output sanitization of the "mobile phone"

274

Evaluation of Indian input to the international nuclear information system database  

Science Journals Connector (OSTI)

The study is aimed at analysing the INIS bibliographic records of publications in India during the period 2000-2008. The analysis includes the inputting trend, time-lag, contributing journals, country collaboration, content analysis through the classification and keywords. India has a total number of 14,697 records input to the database with an yearly average of 1631 records. The timeliness of input is very noteworthy as 29.15% of all articles are input in the same publication year, 52.57% articles are of only one year delay in inputting. Pramana, Journal of Medical Physics, Radiation Protection and Environment are found as the most contributed Indian journals. Scientists from USA, Germany, Japan, etc., are the main contributors. Nuclear physics and radiation physics, specific nuclear reactors and associated plants, particle accelerators, inorganic, organic, physical and analytical chemistry, etc., are main areas of the Indian input.

Anil Kumar; E.R. Prakasan; Sandeep Kadam; Nita Bhaskar

2011-01-01T23:59:59.000Z

275

Applied Cognitive Science (ACS) The ACS lab is directed by Dr. Frank Ritter, professor of IST and  

E-Print Network (OSTI)

Applied Cognitive Science (ACS) Laboratory The ACS lab is directed by Dr. Frank Ritter, professor during the 2012-2013 academic year, studies cognitive modeling, cognitive architectures, human-computer interaction (HCI), and learning. He has taught cognitive modeling, cognitive architectures, HCI, human factors

Squicciarini, Anna Cinzia

276

Summary of Input to DOE Request for Information DE-FOA-0000225  

Energy.gov (U.S. Department of Energy (DOE))

Presentation on Sumary of Input to DOE Request for Information DE-FOA-0000225 - U.S. DOE Fuel Cells Technology Program

277

Fossil energy use in conventional and low-external-input cropping systems.  

E-Print Network (OSTI)

??The production of fossil fuels will crest within the next decade and with reliance of modern conventional agriculture on fossil fuel energy inputs, food production (more)

Cruse, Michael James

2009-01-01T23:59:59.000Z

278

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

E-Print Network (OSTI)

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

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

2009-01-01T23:59:59.000Z

279

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

NLE Websites -- All DOE Office Websites (Extended Search)

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

280

A CSP Timed Input-Output Relation and a Strategy for Mechanised Conformance Verification  

Science Journals Connector (OSTI)

Here we propose a timed input-output conformance relation (named CSPTIO) based on the process algebra CSP. In contrast to other relations, CSPTIO...

Gustavo Carvalho; Augusto Sampaio

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Factors Controlling the Input of Electrical Energy into a Fish in an ...  

Science Journals Connector (OSTI)

In order to determine the electrical energy - input into a fish, both voltage and resistance, as applied to the fish itself, should be known. Neither of these quantities...

1999-12-13T23:59:59.000Z

282

Table A10. Total Inputs of Energy for Heat, Power, and Electricity...  

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

0. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Fuel Type, Industry Group, Selected Industries, and End Use, 1994:" " Part 2" " (Estimates in Trillion...

283

FORMALIZATION OF INPUT AND OUTPUT IN MODERN OPERATING SYSTEMS: THE HADLEY MODEL.  

E-Print Network (OSTI)

??We present the Hadley model, a formal descriptive model of input and output for modern computer operating systems. Our model is intentionally inspired by the (more)

Gerber, Matthew

2005-01-01T23:59:59.000Z

284

NONLINEAR MAGNETOHYDRODYNAMICS OF AC HELICITY INJECTION  

NLE Websites -- All DOE Office Websites (Extended Search)

parameter: the driving fre- quency . The lower the frequency, the greater the classical penetration and the higher the helicity injection rate. On the other hand, the field...

285

Performance Parameters for Grid-Connected PV Systems  

NLE Websites -- All DOE Office Websites (Extended Search)

National Renewable Energy Laboratory National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov Operated for the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy by Midwest Research Institute * Battelle Contract No. DE-AC36-99-GO10337 B. Marion, J. Adelstein, and K. Boyle National Renewable Energy Laboratory H. Hayden, B. Hammond, T. Fletcher, B. Canada, and D. Narang Arizona Public Service Co. D. Shugar, H. Wenger, A. Kimber, and L. Mitchell PowerLight Corporation G. Rich and T. Townsend First Solar Prepared for the 31 st IEEE Photovoltaics Specialists Conference and Exhibition Lake Buena Vista, Florida January 3-7, 2005 February 2005 * NREL/CP-520-37358 Performance Parameters for Grid-Connected PV Systems

286

E-Print Network 3.0 - ac transmission lines Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

lines Search Powered by Explorit Topic List Advanced Search Sample search results for: ac transmission lines...

287

E-Print Network 3.0 - ac transmission line Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

line Search Powered by Explorit Topic List Advanced Search Sample search results for: ac transmission line...

288

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

E-Print Network (OSTI)

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

Verdú, Sergio

289

Polar study of ionospheric ion outflow versus energy input Yihua Zheng,1  

E-Print Network (OSTI)

versus energy input is performed by using multi- instrument data (TIDE, EFI, MFI, HYDRA) from PolarPolar study of ionospheric ion outflow versus energy input Yihua Zheng,1 Thomas E. Moore,2 Forrest/6 Hz), the electron density, temperature, and the electron energy flux. The perturbation fields used

California at Berkeley, University of

290

Pinch-drag-flick vs. spatial input: rethinking zoom & pan on mobile displays  

Science Journals Connector (OSTI)

The multi-touch-based pinch to zoom, drag and flick to pan metaphor has gained wide popularity on mobile displays, where it is the paradigm of choice for navigating 2D documents. But is finger-based navigation really the gold standard' In this paper, ... Keywords: mobile displays, multi-touch input, spatial input, spatially aware displays, user study

Martin Spindler; Martin Schuessler; Marcel Martsch; Raimund Dachselt

2014-04-01T23:59:59.000Z

291

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

E-Print Network (OSTI)

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

Wang, Xiaoqin

292

Estimation of input energy in rocket-triggered lightning Vinod Jayakumar,1  

E-Print Network (OSTI)

the input power and energy, each per unit channel length and as a function of time, associated with return- lightning first stroke, based on the conversion of measured optical energy to total energy using energy., 2002] and measured current, I(t), at the channel base to estimate the input power per unit length, P

Florida, University of

293

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

E-Print Network (OSTI)

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

Paris-Sud XI, Université de

294

U-102: Cisco IronPort Encryption Appliance Input Validation Flaw Permits  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2: Cisco IronPort Encryption Appliance Input Validation Flaw 2: Cisco IronPort Encryption Appliance Input Validation Flaw Permits Cross-Site Scripting Attacks U-102: Cisco IronPort Encryption Appliance Input Validation Flaw Permits Cross-Site Scripting Attacks February 14, 2012 - 8:00am Addthis PROBLEM: A vulnerability was reported in Cisco IronPort Encryption Appliance. PLATFORM: Version(s): prior to 6.5.3 ABSTRACT: A remote user can conduct cross-site scripting reference LINKS: Vendor URL CVE-2012-0340 Security Tracker ID:1026669 IMPACT ASSESSMENT: Medium Discussion: The interface does not properly filter HTML code from user-supplied input before displaying the input. A remote user can create a specially crafted URL that, when loaded by a target user, will cause arbitrary scripting code to be executed by the target user's browser. The code will originate from

295

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8: Splunk Web Input Validation Flaw Permits Cross-Site 8: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks May 31, 2013 - 6:00am Addthis PROBLEM: A vulnerability 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: SecurityTracker Alert ID: 1028605 Splunk Security Advisory SPL-59895 CVE-2012-6447 IMPACT ASSESSMENT: Medium DISCUSSION: The web interface does not properly filter HTML code from user-supplied input before displaying the input. A remote user can create a specially crafted URL that, when loaded by a target user, will cause arbitrary scripting code to be executed by the target user's browser. The code will

296

U-204: HP Network Node Manager i Input Validation Hole Permits Cross-Site  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4: HP Network Node Manager i Input Validation Hole Permits 4: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks U-204: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks July 3, 2012 - 7:00am Addthis PROBLEM: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks PLATFORM: Version(s): 8.x, 9.0x, 9.1x ABSTRACT: 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). reference LINKS: The Vendor's Advisory SecurityTracker Alert ID: 1027215 CVE-2012-2018 IMPACT ASSESSMENT: Medium Discussion: A vulnerability was reported in HP Network Node Manager i. The software does not properly filter HTML code from user-supplied input before

297

Oak Ridge's EM Program Seeks Public Input on Cleanup | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Seeks Public Input on Cleanup Seeks Public Input on Cleanup Oak Ridge's EM Program Seeks Public Input on Cleanup April 25, 2013 - 12:00pm Addthis Oak Ridge’s EM leadership informed members of the public about projects and goals and answered questions during a public workshop this week. Oak Ridge's EM leadership informed members of the public about projects and goals and answered questions during a public workshop this week. Local residents and other stakeholders listen to Oak Ridge's EM senior leadership in a public workshop to learn about EM and provide input about future mission work. Local residents and other stakeholders listen to Oak Ridge's EM senior leadership in a public workshop to learn about EM and provide input about future mission work. Oak Ridge EM Manager Mark Whitney addresses participants on EM’s mission and priorities.

298

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4:Juniper Secure Access Input Validation Flaw Permits 4:Juniper Secure Access Input Validation Flaw Permits Cross-Site Scripting Attacks U-144:Juniper Secure Access Input Validation Flaw Permits Cross-Site Scripting Attacks April 10, 2012 - 7:30am Addthis PROBLEM: A vulnerability was reported in Juniper Secure Access/Instant Virtual Extranet (IVE). A remote user can conduct cross-site scripting attacks. PLATFORM: Version(s): prior to 7.0R9 and 7.1R ABSTRACT: The VPN management interface does not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause arbitrary scripting code to be executed by the target user's browser. reference LINKS: Vendor URL SecurityTracker Alert ID: 1026893 IMPACT ASSESSMENT: High Discussion: The code will originate from the interface and will run in the security

299

How are basement walls input in REScheck? | Building Energy Codes Program  

NLE Websites -- All DOE Office Websites (Extended Search)

basement walls input in REScheck? basement walls input in REScheck? After selecting a basement wall type, a basement wall illustration will appear with input boxes for the basement wall height, depth below grade, and depth of insulation. The illustration helps identify the dimensions being requested. You may enter basement wall dimensions directly into this illustration and select the OK button to have them transferred to the corresponding row in the table on the Envelope screen. If you prefer to enter the dimensions directly into the table on the Envelope screen, you can select Cancel to remove the illustration without entering dimensions. To view the basement wall illustration and inputs at a later time, click the right-mouse button anywhere on the basement row and select Edit Basement Inputs from the popup menu.

300

Oak Ridge's EM Program Seeks Public Input on Cleanup | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Oak Ridge's EM Program Seeks Public Input on Cleanup Oak Ridge's EM Program Seeks Public Input on Cleanup Oak Ridge's EM Program Seeks Public Input on Cleanup April 25, 2013 - 12:00pm Addthis Oak Ridge’s EM leadership informed members of the public about projects and goals and answered questions during a public workshop this week. Oak Ridge's EM leadership informed members of the public about projects and goals and answered questions during a public workshop this week. Local residents and other stakeholders listen to Oak Ridge's EM senior leadership in a public workshop to learn about EM and provide input about future mission work. Local residents and other stakeholders listen to Oak Ridge's EM senior leadership in a public workshop to learn about EM and provide input about future mission work. Oak Ridge EM Manager Mark Whitney addresses participants on EM’s mission and priorities.

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

3: Symantec Brightmail Gateway Input Validation Flaw Permits 3: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site Scripting Attacks V-153: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site Scripting Attacks May 10, 2013 - 6:00am Addthis PROBLEM: A vulnerability was reported in Symantec Brightmail Gateway PLATFORM: The vulnerabilities are reported in versions prior to 9.5.x ABSTRACT: Symantec's Brightmail Gateway management console is susceptible to stored cross-site scripting (XSS) issues found in some of the administrative interface pages. REFERENCE LINKS: Security Tracker Alert ID: 1028530 Symantec Security Advisory CVE-2013-1611 IMPACT ASSESSMENT: Medium DISCUSSION: The administrative interface does not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause

302

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

5: Apache Wicket Input Validation Flaw Permits Cross-Site 5: Apache Wicket Input Validation Flaw Permits Cross-Site Scripting Attacks U-255: Apache Wicket Input Validation Flaw Permits Cross-Site Scripting Attacks September 11, 2012 - 6:00am Addthis PROBLEM: Apache Wicket Input Validation Flaw Permits Cross-Site Scripting Attacks PLATFORM: Apache Software Foundation Apache Wicket 1.5.5 Apache Software Foundation Apache Wicket 1.5-RC5.1 Apache Software Foundation Apache Wicket 1.4.20 Apache Software Foundation Apache Wicket 1.4.18 Apache Software Foundation Apache Wicket 1.4.17 Apache Software Foundation Apache Wicket 1.4.16 ABSTRACT: A vulnerability was reported in Apache Wicket reference LINKS: Apache Wicket SecurityTracker Alert ID: 1027508 Bugtraq ID: 55445 CVE-2012-3373 IMPACT ASSESSMENT: Medium Discussion: The software does not properly filter HTML code from user-supplied input in

303

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

39: IBM Tivoli Directory Server Input Validation Flaw 39: IBM Tivoli Directory Server Input Validation Flaw U-139: IBM Tivoli Directory Server Input Validation Flaw April 3, 2012 - 7:00am Addthis PROBLEM: A vulnerability was reported in IBM Tivoli Directory Server. A remote user 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 displaying the input. Reference LINKS: Vendor Advisory Security Tracker ID 1026880 CVE-2012-0740 IMPACT ASSESSMENT: Medium Discussion: A remote user can create a specially crafted URL that, when loaded by a target user, will cause arbitrary scripting code to be executed by the target user's browser. The code will originate from the site running the IBM Tivoli Directory Server software and will run in the security context

304

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting Attacks V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting Attacks August 28, 2013 - 6:00am Addthis PROBLEM: Several vulnerabilities were reported in IBM Lotus iNotes PLATFORM: IBM Lotus iNotes 8.5.x ABSTRACT: IBM Lotus iNotes 8.5.x contains four cross-site scripting vulnerabilities REFERENCE LINKS: Security Tracker Alert ID 1028954 IBM Security Bulletin 1647740 Seclist.org CVE-2013-0590 CVE-2013-0591 CVE-2013-0595 IMPACT ASSESSMENT: Medium DISCUSSION: The software does not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause arbitrary scripting code to be executed by the target user's browser. The code will originate

305

U-204: HP Network Node Manager i Input Validation Hole Permits Cross-Site  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

204: HP Network Node Manager i Input Validation Hole Permits 204: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks U-204: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks July 3, 2012 - 7:00am Addthis PROBLEM: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks PLATFORM: Version(s): 8.x, 9.0x, 9.1x ABSTRACT: 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). reference LINKS: The Vendor's Advisory SecurityTracker Alert ID: 1027215 CVE-2012-2018 IMPACT ASSESSMENT: Medium Discussion: A vulnerability was reported in HP Network Node Manager i. The software does not properly filter HTML code from user-supplied input before

306

DOE Seeking Input on Alternative Uses of Nickel Inventory | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Seeking Input on Alternative Uses of Nickel Inventory Seeking Input on Alternative Uses of Nickel Inventory DOE Seeking Input on Alternative Uses of Nickel Inventory March 9, 2007 - 10:28am Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) is seeking input from industry representatives on the safe disposition of approximately 15,300 tons of nickel scrap recovered from uranium enrichment process equipment at the Department's Oak Ridge, TN, and Paducah, KY, facilities. The Expression of Interest (EOI), released today, will assist in DOE's evaluation of restricted uses of its nickel material for controlled radiological applications. These restricted uses could include use in commercial nuclear power plants, DOE nuclear facilities, or by the U.S. Navy. The Department will solicit input through May 8, 2007.

307

DOE Seeking Input on Alternative Uses of Nickel Inventory | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DOE Seeking Input on Alternative Uses of Nickel Inventory DOE Seeking Input on Alternative Uses of Nickel Inventory DOE Seeking Input on Alternative Uses of Nickel Inventory March 9, 2007 - 10:28am Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) is seeking input from industry representatives on the safe disposition of approximately 15,300 tons of nickel scrap recovered from uranium enrichment process equipment at the Department's Oak Ridge, TN, and Paducah, KY, facilities. The Expression of Interest (EOI), released today, will assist in DOE's evaluation of restricted uses of its nickel material for controlled radiological applications. These restricted uses could include use in commercial nuclear power plants, DOE nuclear facilities, or by the U.S. Navy. The Department will solicit input through May 8, 2007.

308

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

68: Splunk Web Input Validation Flaw Permits Cross-Site 68: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks May 31, 2013 - 6:00am Addthis PROBLEM: A vulnerability 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: SecurityTracker Alert ID: 1028605 Splunk Security Advisory SPL-59895 CVE-2012-6447 IMPACT ASSESSMENT: Medium DISCUSSION: The web interface does not properly filter HTML code from user-supplied input before displaying the input. A remote user can create a specially crafted URL that, when loaded by a target user, will cause arbitrary scripting code to be executed by the target user's browser. The code will

309

V-085: Cisco Unity Express Input Validation Hole Permits Cross-Site Request  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

5: Cisco Unity Express Input Validation Hole Permits Cross-Site 5: Cisco Unity Express Input Validation Hole Permits Cross-Site Request Forgery Attacks V-085: Cisco Unity Express Input Validation Hole Permits Cross-Site Request Forgery Attacks February 6, 2013 - 1:06am Addthis PROBLEM: Cisco Unity Express Input Validation Hole Permits Cross-Site Request Forgery Attacks PLATFORM: Cisco Unity Express prior to 8.0 ABSTRACT: A vulnerability was reported in Cisco Unity Express. REFERENCE LINKS: Cisco Security Notice SecurityTracker Alert ID: 1028075 CVE-2013-1120 IMPACT ASSESSMENT: Medium DISCUSSION: Cisco Unity Express software prior to version 8.0 contains vulnerabilities that could allow an unauthenticated, remote attacker to conduct cross site request forgery attacks. The vulnerabilities are due to insufficient input validation. An attacker could exploit these vulnerabilities by

310

Efficient navigation of parameter landscapes  

Science Journals Connector (OSTI)

The covariance matrix of the gradient of the cost function contains a great deal of information about a parameter space. The eigenvectors of the covariance matrix form an optimal basis (in the sense of data compression) for the gradient. Since search algorithms base their decisions on the gradient (often in an indirect fashion) the eigenvectors in some sense form an optimal set of generators for navigating parameter landscapes. For problems involving a long valley there is usually an eigenvector oriented parallel to the valley. Search algorithms based on the optimal generators may find the deepest point in the valley several times faster than algorithms based on other generators. The covariance matrix also contains information about the key underlying parameters. The most important parameters correspond to the eigenvectors associated with the largest eigenvalues. This information can be exploited to reparametrize with a smaller number of parameters. The covariance matrix is the integral of the outer product of the gradient over the parameter space. Obtaining a good estimate of this integral with the Monte Carlo method usually requires relatively little effort even for high?dimensional parameter spaces. Examples are presented for geoacoustic inverse problems involving acoustic sources and receivers located in the ocean.

Michael D. Collins

1994-01-01T23:59:59.000Z

311

Contract Number: DE-AC05-76RL01830 Modification M705  

E-Print Network (OSTI)

#12;#12;Contract Number: DE-AC05-76RL01830 Modification M705 #12;Contract Number: DE-AC05-76RL01830 Modification M705 #12;Contract Number: DE-AC05-76RL01830 Modification M705 #12;Contract Number: DE-AC05-76RL01830 Modification M705 #12;Contract Number: DE-AC05-76RL01830 Modification M705 #12;Contract Number: DE

312

Determination of dynamic fracture parameters for HF?1 steel  

Science Journals Connector (OSTI)

Dynamic fracture parameters have been determined for two heat treatments of HF?1 steel. A gas gun was used for the experiments. Different amounts of fracture damage were produced in HF?1 steel specimens under known impact conditions. The specimens were soft recovered sectioned and polished to reveal any internal microscopic fracture. The fracturecracks were then digitized. The velocities of the 1.15? 1.59? and 2.37?mm?thick impactor disks range from 0.120 to 0.276 km/s. The specimen disks were 3.18? and 6.35?mm thick. An SRI stress wave propagationcomputer program with a brittlefracturemodel was used for calculating the dynamic fracture parameters. A series of Hugoniot experiments was performed for HF?1 steel to determine equation of state input data for the computer program. The Hugoniot elastic limits were 2.2 and 2.4 GPa for the two heat treatments.

Willis Mock Jr.; William H. Holt

1982-01-01T23:59:59.000Z

313

Estimation of Atmospheric PSF Parameters for Hyperspectral Imaging  

E-Print Network (OSTI)

from the online tutorial: http://personalpages.manchester.ac.uk/staff/ david.foster/Tutorial_HSI2RGB

Plemmons, Robert J.

314

www.kent.ac.uk/is/ Information Services  

E-Print Network (OSTI)

.kent.ac.uk/cmsds-local/ Installing `Putty' Download it from the web (if you have administrator privilages) www close to each other. A dark cursor will not show on a dark background. Ideally make either

Banaji,. Murad

315

Cognitive Radio Network {swjang, sbahk}@netlab.snu.ac.kr  

E-Print Network (OSTI)

2010 Cognitive Radio Network , , {swjang, sbahk}@netlab.snu.ac.kr Analysis of Average Opportunities in Cognitive Radio Networks Seowoo Jang, Saewoong Bahk INMC, EECS, Seoul National University Cognitive Radio Network . Primary user

Bahk, Saewoong

316

David M. Frohlich d.frohlich@surrey.ac.uk  

E-Print Network (OSTI)

19 David M. Frohlich d.frohlich@surrey.ac.uk Professor & Director, Digital World Research Centre in Community Content Creation FROHLICH, BHAT, JONES, LALMAS, FRANK, RACHOVIDES, TUCKER, RIGA Research Article

Lalmas, Mounia

317

Contract Number DE-AC27-10RV15051  

NLE Websites -- All DOE Office Websites (Extended Search)

Section H.26, Key Personnel, Pages i and H-32 Section J, Attachment 7, Performance Evaluation and Measurement Plan, Page J-127 222-S LAS&T Contract No. DE-AC27-10RV15051...

318

Microfluidics {sjauh, btzhang}@bi.snu.ac.kr  

E-Print Network (OSTI)

Microfluidics {sjauh, btzhang}@bi.snu.ac.kr Solving Shortest Path Problems Using Microfluidics Sahng-Joon Auh and Byoung-Tak Zhang Biointelligence Lab, School of Computer Science and Engineering Seoul National University . microfluidics MEMS

319

www.glasgow.ac.uk/parents Say hello to Glasgow  

E-Print Network (OSTI)

Parents' Guide www.glasgow.ac.uk/parents #12;2 Welcome Say hello to Glasgow Choosing the right Satisfaction (National Student Survey). Contents Page 2 Welcome Say hello to Glasgow Pages3

Guo, Zaoyang

320

A Receding Horizon Controller with a Parameter Estimator for Nuclear Reactor Power Distribution  

SciTech Connect

A receding horizon control method is used to solve on-line, at each time step, an optimization problem for a finite future interval and to implement the first optimal control input as the current control input. The receding horizon control method is combined with a parameter estimator to overcome the problems of the linear modeling and time-varying characteristics of a process. It is a suitable control strategy for time-varying systems, in particular, because the parameter estimator identifies a controller design model recursively at each time step, and also the receding horizon controller recalculates an optimal input at each time step by using newly measured signals. The proposed controller is applied to the axial power distribution control in a pressurized water reactor. The reactor dynamics model used for computer simulations is a two-point xenon oscillation model in which the reactor core is axially divided into two regions (upper and lower halves) and each region is assumed to have a single input and a single output and to be coupled with the other region. It is shown from numerical simulations that the proposed controller exhibits very fast tracking responses due to the step and ramp changes of axial target shape and also works well in a time-varying parameter condition.

Na, Man Gyun; Jung, Dong Won; Lee, Sun Mi [Paul Scherrer Institute (Switzerland)

2004-09-15T23:59:59.000Z

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Ground Insulation Measurement in AC IT Systems  

Science Journals Connector (OSTI)

In the chapter there is presented general information on physical nature of network-to-ground insulation. Sense of insulation equivalent resistance parameter is explained. A method of insulation resistances-to-...

Piotr Olszowiec

2013-01-01T23:59:59.000Z

322

SVC implementation using neural networks for an AC electrical railway  

Science Journals Connector (OSTI)

This paper presents an on-line method for implementation of a static var compensator (SVC) in a real ac autotransformer (AT)-fed electrical railway for reactive power compensation using Neural Networks (NN). Genetic algorithm (GA) can be the off-line ... Keywords: AC electrical railways load flow, forward/backward sweep (FBS), genetic algorithm (GA), neural network (NN), reactive power compensation, static var compensator (SVC)

Saeid Veysi Raygani; Bijan Moaveni; Seyed Saeed Fazel; Amir Tahavorgar

2011-05-01T23:59:59.000Z

323

Development of an AC Module System: Final Technical Report  

SciTech Connect

The GreenRay Inc. program focused on simplifying solar electricity and making it affordable and accessible to the mainstream population. This was accomplished by integrating a solar module, micro-inverter, mounting and monitoring into a reliable, 'plug and play' AC system for residential rooftops, offering the following advantages: (1) Reduced Cost: Reduction in installation labor with fewer components, faster mounting, faster wiring. (2) Maximized Energy Production: Each AC Module operates at its maximum, reducing overall losses from shading, mismatch, or module downtime. (3) Increased Safety. Electrical and fire safety experts agree that AC Modules have significant benefits, with no energized wiring or live connections during installation, maintenance or emergency conditions. (4) Simplified PV for a Broader Group of Installers. Dramatic simplification of design and installation of a solar power system, enabling faster and more efficient delivery of the product into the market through well-established, mainstream channels. This makes solar more accessible to the public. (5) Broadened the Rooftop Market: AC Modules enable solar for many homes that have shading, split roofs, or obstructions. In addition, due to the smaller building block size of 200W vs. 1000W, homeowners with budget limitations can start small and add to their systems over time. Through this DOE program GreenRay developed the all-in-one AC Module system with an integrated PV Module and microinverter, custom residential mounting and performance monitoring. Development efforts took the product from its initial concept, through prototypes, to a commercial product sold and deployed in the residential market. This pilot deployment has demonstrated the technical effectiveness of the AC Module system in meeting the needs and solving the problems of the residential market. While more expensive than the traditional central inverter systems at the pilot scale, the economics of AC Modules become more and more favorable as the product matures and is made in high volumes. GreenRay's early customers have been highly enthusiastic about the AC Module system benefits.

Suparna Kadam; Miles Russell

2012-06-15T23:59:59.000Z

324

The HST/ACS Coma Cluster Survey: I - Survey Objectives and Design  

E-Print Network (OSTI)

We describe the HST ACS Coma cluster Treasury survey, a deep two-passband imaging survey of one of the nearest rich clusters of galaxies, the Coma cluster (Abell 1656). The survey was designed to cover an area of 740 square arcmin in regions of different density of both galaxies and intergalactic medium within the cluster. The ACS failure of January 27th 2007 leaves the survey 28% complete, with 21 ACS pointings (230 square arcmin) complete, and partial data for a further 4 pointings (44 square arcmin). Predicted survey depth for 10 sigma detections for optimal photometry of point sources is g' = 27.6 in the F475W filter, and IC=26.8 mag in F814 (AB magnitudes). Initial simulations with artificially injected point sources show 90% recovered at magnitude limits of g' = 27.55 and IC = 26.65. For extended sources, the predicted 10 sigma limits for a 1 square arcsecond region are g' = 25.8 mag/sq. arcsec and IC = 25.0 mag/sq. arcsec. We highlight several motivating science goals of the survey, including study of the faint end of the cluster galaxy luminosity function, structural parameters of dwarf galaxies, stellar populations and their effect on colors and color gradients, evolution of morphological components in a dense environment, the nature of ultra compact dwarf galaxies, and globular cluster populations of cluster galaxies of a range of luminosities and types. This survey will also provide a local rich cluster benchmark for various well known global scaling relations and explore new relations pertaining to the nuclear properties of galaxies.

David Carter; Paul Goudfrooij; Bahram Mobasher; Henry C. Ferguson; Thomas H. Puzia; Alfonso L. Aguerri; Marc Balcells; Dan Batcheldor; Terry J. Bridges; Jonathan I. Davies; Peter Erwin; Alister W. Graham; Rafael Guzmn; Derek Hammer; Ann Hornschemeier; Carlos Hoyos; Michael J. Hudson; Avon Huxor; Shardha Jogee; Yutaka Komiyama; Jennifer Lotz; John R. Lucey; Ronald O. Marzke; David Merritt; Bryan W. Miller; Neal A. Miller; Mustapha Mouhcine; Sadanori Okamura; Reynier F. Peletier; Steven Phillipps; Bianca M. Poggianti; Ray M. Sharples; Russell J. Smith; Neil Trentham; R. Brent Tully; Edwin Valentijn; Gijs Verdoes Kleijn

2008-01-24T23:59:59.000Z

325

,"Maryland Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Maryland Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_smd_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_smd_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:52 AM"

326

,"New Jersey Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Jersey Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_snj_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_snj_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:54 AM"

327

,"Hawaii Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Hawaii Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_shi_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_shi_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:51 AM"

328

,"Rhode Island Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Rhode Island Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sri_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sri_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:55 AM"

329

,"Louisiana Natural Gas Input Supplemental Fuels (Million Cubic Feet)"  

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

Input Supplemental Fuels (Million Cubic Feet)" Input Supplemental Fuels (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Input Supplemental Fuels (Million Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","nga_epg0_ovi_sla_mmcfa.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/nga_epg0_ovi_sla_mmcfa.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

330

,"North Carolina Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Carolina Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_snc_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_snc_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:53 AM"

331

,"Alaska Natural Gas Input Supplemental Fuels (Million Cubic Feet)"  

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

Input Supplemental Fuels (Million Cubic Feet)" Input Supplemental Fuels (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Natural Gas Input Supplemental Fuels (Million Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na_epg0_ovi_sak_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na_epg0_ovi_sak_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

332

,"Connecticut Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Connecticut Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sct_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sct_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:50 AM"

333

,"Minnesota Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Minnesota Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_smn_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_smn_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:53 AM"

334

,"New Mexico Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_snm_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_snm_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:54 AM"

335

,"Wyoming Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_swy_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_swy_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:57 AM"

336

,"Washington Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Washington Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_swa_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_swa_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:57 AM"

337

,"Wisconsin Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wisconsin Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_swi_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_swi_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:57 AM"

338

,"New Hampshire Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Hampshire Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_snh_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_snh_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:54 AM"

339

,"Kentucky Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sky_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sky_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:51 AM"

340

,"Tennessee Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Tennessee Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_stn_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_stn_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:56 AM"

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

,"Indiana Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sin_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sin_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:51 AM"

342

,"Michigan Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_smi_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_smi_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:52 AM"

343

,"Virginia Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sva_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sva_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:57 AM"

344

,"Georgia Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Georgia Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sga_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sga_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:50 AM"

345

,"South Dakota Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_ssd_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_ssd_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:56 AM"

346

,"Nebraska Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sne_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sne_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:53 AM"

347

,"Delaware Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Delaware Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sde_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sde_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:50 AM"

348

,"Arkansas Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sar_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sar_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:49 AM"

349

,"Illinois Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sil_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sil_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:51 AM"

350

,"Catalytic Reforming Downstream Processing of Fresh Feed Input"  

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

Catalytic Reforming Downstream Processing of Fresh Feed Input" Catalytic Reforming Downstream Processing of Fresh Feed Input" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Catalytic Reforming Downstream Processing of Fresh Feed Input",16,"Monthly","9/2013","1/15/2010" ,"Release Date:","11/27/2013" ,"Next Release Date:","Last Week of December 2013" ,"Excel File Name:","pet_pnp_dwns_a_(na)_ydr_mbblpd_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_dwns_a_(na)_ydr_mbblpd_m.htm" ,"Source:","Energy Information Administration"

351

,"Pennsylvania Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_spa_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_spa_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:55 AM"

352

,"Iowa Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Iowa Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sia_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sia_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:51 AM"

353

,"Alabama Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sal_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sal_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:49 AM"

354

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

E-Print Network (OSTI)

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.

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

2014-09-23T23:59:59.000Z

355

,"North Dakota Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_snd_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_snd_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:53 AM"

356

,"South Carolina Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Carolina Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_ssc_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_ssc_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:56 AM"

357

,"Massachusetts Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Massachusetts Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sma_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sma_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:52 AM"

358

,"Nevada Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Nevada Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_snv_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_snv_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:54 AM"

359

,"Texas Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_stx_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_stx_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:56 AM"

360

,"U.S. Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n9090us2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n9090us2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:57:08 AM"

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

,"Colorado Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sco_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sco_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:49 AM"

362

,"Oregon Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sor_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sor_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:55 AM"

363

,"Florida Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sfl_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sfl_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:50 AM"

364

,"Vermont Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Vermont Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_svt_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_svt_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:57 AM"

365

,"Maine Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Maine Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sme_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sme_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:52 AM"

366

Uncertainty Analysis of Runoff Simulations and Parameter Identifiability in the Community Land Model Evidence from MOPEX Basins  

SciTech Connect

With the emergence of earth system models as important tools for understanding and predicting climate change and implications to mitigation and adaptation, it has become increasingly important to assess the fidelity of the land component within earth system models to capture realistic hydrological processes and their response to the changing climate and quantify the associated uncertainties. This study investigates the sensitivity of runoff simulations to major hydrologic parameters in version 4 of the Community Land Model (CLM4) by integrating CLM4 with a stochastic exploratory sensitivity analysis framework at 20 selected watersheds from the Model Parameter Estimation Experiment (MOPEX) spanning a wide range of climate and site conditions. We found that for runoff simulations, the most significant parameters are those related to the subsurface runoff parameterizations. Soil texture related parameters and surface runoff parameters are of secondary significance. Moreover, climate and soil conditions play important roles in the parameter sensitivity. In general, site conditions within water-limited hydrologic regimes and with finer soil texture result in stronger sensitivity of output variables, such as runoff and its surface and subsurface components, to the input parameters in CLM4. This study demonstrated the feasibility of parameter inversion for CLM4 using streamflow observations to improve runoff simulations. By ranking the significance of the input parameters, we showed that the parameter set dimensionality could be reduced for CLM4 parameter calibration under different hydrologic and climatic regimes so that the inverse problem is less ill posed.

Huang, Maoyi; Hou, Zhangshuan; Leung, Lai-Yung R.; Ke, Yinghai; Liu, Ying; Fang, Zhufeng; Sun, Yu

2013-12-01T23:59:59.000Z

367

Installation considerations for IGBT AC drives  

SciTech Connect

In the last four years, Adjustable Speed ac Drive (ASD) manufacturers have migrated from Bipolar Junction Transistor (BJT) semiconductors to Insulated Gate Bipolar Transistors (IGBTs) as the preferred Output switching device. The advantage of IGBTs over BJTs is that device rise and fall time switching capability is 5 - 10 times faster, resulting in lower device switching loss and a more efficient drive. However, for a similar motor cable length as the BJT drive, the faster output voltage risetime of the IGBT drive may increase the dielectric voltage stress on the motor and cable due to a phenomenon called reflected wave. Faster output dv/dt transitions of IGBT drives also increase the possibility for phenomenon such as increased Common Mode (CM) electrical noise, Electromagnetic Interference (EMI) problems and increased capacitive cable charging current problems. Also, recent experience suggests any Pulse Width Modulated (PWM) drive with a steep fronted output voltage wave form may increase motor shaft voltage and lead to a bearing current phenomenon known as fluting. This paper provides a basic understanding of these issues, as well as solutions, to insure a successful drive system installation.

Skibinski, G.L.

1997-06-01T23:59:59.000Z

368

U-219: Symantec Web Gateway Input Validation Flaws Lets Remote Users Inject  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

19: Symantec Web Gateway Input Validation Flaws Lets Remote 19: 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 Validation Flaws Lets Remote Users Inject SQL Commands, Execute Arbitrary Commands, and Change User Passwords July 24, 2012 - 7:00am Addthis PROBLEM: Symantec Web Gateway Input Validation Flaws Lets Remote Users Inject SQL Commands, Execute Arbitrary Commands, and Change User Passwords PLATFORM: Symantec Web Gateway 5.0.x.x ABSTRACT: Several vulnerabilities were reported in Symantec Web Gateway. REFERENCE LINKS: Security Advisories Relating to Symantec Products SecurityTracker Alert ID: 1027289 Bugtraq ID: 54424 Bugtraq ID: 54425 Bugtraq ID: 54426 Bugtraq ID: 54427 Bugtraq ID: 54429 Bugtraq ID: 54430

369

DOE Seeks Additional Input on Next Generation Nuclear Plant | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Seeks Additional Input on Next Generation Nuclear Plant Seeks Additional Input on Next Generation Nuclear Plant DOE Seeks Additional Input on Next Generation Nuclear Plant April 17, 2008 - 10:49am Addthis WASHINGTON, DC -The U.S. Department of Energy (DOE) today announced it is seeking public and industry input on how to best achieve the goals and meet the requirements for the Next Generation Nuclear Plant (NGNP) demonstration project work at DOE's Idaho National Laboratory. DOE today issued a Request for Information and Expressions of Interest from prospective participants and interested parties on utilizing cutting-edge high temperature gas reactor technology in the effort to reduce greenhouse gas emissions by enabling nuclear energy to replace fossil fuels used by industry for process heat. "This is an opportunity to advance the development of safe, reliable, and

370

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

1: Citrix Access Gateway Enterprise Edition Input Validation 1: Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks T-701: Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks August 25, 2011 - 3:33pm Addthis PROBLEM: A vulnerability was reported in Citrix Access Gateway Enterprise Edition. A remote user can conduct cross-site scripting attacks. PLATFORM: Citrix Access Gateway Enterprise Edition 9.2-49.8 and prior. Citrix Access Gateway Enterprise Edition version 9.3 is not affected by this vulnerability. ABSTRACT: Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks. reference LINKS: SecurityTracker Alert ID: 1025973 Citrix Document ID: CTX129971

371

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

6: Microsoft MHTML Input Validation Hole May Permit Cross-Site 6: Microsoft MHTML Input Validation Hole May Permit Cross-Site Scripting Attacks Arbitrary Code T-546: Microsoft MHTML Input Validation Hole May Permit Cross-Site Scripting Attacks Arbitrary Code January 31, 2011 - 7:00am Addthis PROBLEM: Microsoft MHTML Input Validation Hole May Permit Cross-Site Scripting Attacks Arbitrary Code. PLATFORM: Microsoft 2003 SP2, Vista SP2, 2008 SP2, XP SP3, 7; and prior service packs ABSTRACT: A vulnerability was reported in Microsoft MHTML. A remote user can conduct cross-site scripting attacks. reference LINKS: Microsoft Security Advisory 2501696 Microsoft Support Security Tracker Alert CVE-2011-0096 IMPACT ASSESSMENT: Medium Discussion: The vulnerability exists due to the way MHTML interprets MIME-formatted requests for content blocks within a document. It is possible for this

372

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8: HP Service Manager Input Validation Flaw Permits Cross-Site 8: HP Service Manager Input Validation Flaw Permits Cross-Site Scripting Attacks U-238: HP Service Manager Input Validation Flaw Permits Cross-Site Scripting Attacks August 17, 2012 - 7:00am Addthis PROBLEM: HP Service Manager Input Validation Flaw Permits Cross-Site Scripting Attacks PLATFORM: Version(s): 7.11, 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 to inject arbitrary web script or HTML via unspecified vectors. REFERENCE LINKS: www2.hp.com http://www.securitytracker.com/id/1027399 CVE-2012-3251 IMPACT ASSESSMENT: Moderate Discussion: A vulnerability was reported in HP Service Manager. A remote user can conduct cross-site scripting attacks. The software does not properly filter

373

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

0: Apache VCL Input Validation Flaw Lets Remote Authenticated 0: Apache VCL Input Validation Flaw Lets Remote Authenticated Users Gain Elevated Privileges V-150: Apache VCL Input Validation Flaw Lets Remote Authenticated Users Gain Elevated Privileges May 7, 2013 - 12:01am Addthis PROBLEM: Apache VCL Input Validation Flaw Lets Remote Authenticated Users Gain Elevated Privileges PLATFORM: Apache VCL Versions: 2.1, 2.2, 2.2.1, 2.3, 2.3.1 ABSTRACT: A vulnerability was reported in Apache VCL. REFERENCE LINKS: Apache Securelist SecurityTracker Alert ID: 1028515 CVE-2013-0267 IMPACT ASSESSMENT: Medium DISCUSSION: A remote authenticated administrative user with minimal administrative privileges (i.e., nodeAdmin, manageGroup, resourceGrant, or userGrant) can send specially crafted data via the web interface or XMLRPC API to gain additional administrative privileges.

374

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Seeks Public Input on an Integrated, Interagency Seeks Public Input on an Integrated, Interagency Pre-Application Process for Transmission Authorizations DOE Seeks Public Input on an Integrated, Interagency Pre-Application Process for Transmission Authorizations August 29, 2013 - 9:09am Addthis A Request for Information (RFI) seeking public input for a draft Integrated, Interagency Pre-application (IIP) Process was published in the Federal Register on August 29, 2013. The Federal Register Notice is available now for downloading. Comments must be received on or before September 30, 2013. As comments are received, they will be posted online. The proposed IIP Process is intended to improve interagency and intergovernmental coordination focused on ensuring that project proponents develop and submit accurate and complete information early in the project

375

U-219: Symantec Web Gateway Input Validation Flaws Lets Remote Users Inject  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

19: Symantec Web Gateway Input Validation Flaws Lets Remote 19: 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 Validation Flaws Lets Remote Users Inject SQL Commands, Execute Arbitrary Commands, and Change User Passwords July 24, 2012 - 7:00am Addthis PROBLEM: Symantec Web Gateway Input Validation Flaws Lets Remote Users Inject SQL Commands, Execute Arbitrary Commands, and Change User Passwords PLATFORM: Symantec Web Gateway 5.0.x.x ABSTRACT: Several vulnerabilities were reported in Symantec Web Gateway. REFERENCE LINKS: Security Advisories Relating to Symantec Products SecurityTracker Alert ID: 1027289 Bugtraq ID: 54424 Bugtraq ID: 54425 Bugtraq ID: 54426 Bugtraq ID: 54427 Bugtraq ID: 54429 Bugtraq ID: 54430

376

U-229: HP Network Node Manager i Input Validation Flaw Permits Cross-Site  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

9: HP Network Node Manager i Input Validation Flaw Permits 9: HP Network Node Manager i Input Validation Flaw Permits Cross-Site Scripting Attacks U-229: HP Network Node Manager i Input Validation Flaw Permits Cross-Site Scripting Attacks August 7, 2012 - 7:00am Addthis PROBLEM: HP Network Node Manager i Input Validation Flaw Permits Cross-Site Scripting Attacks PLATFORM: HP Network Node Manager I (NNMi) v8.x, v9.0x, v9.1x, v9.20 for HP-UX, Linux, Solaris, and Windows ABSTRACT: 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). Reference LINKS: HP Document ID: c03405705 SecurityTracker Alert ID: 1027345 Bugtraq ID: 54815 CVE-2012-2022 IMPACT ASSESSMENT:

377

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

0: HP Diagnostics Input Validation Hole Permits Cross-Site 0: HP Diagnostics Input Validation Hole Permits Cross-Site Scripting Attacks T-590: HP Diagnostics Input Validation Hole Permits Cross-Site Scripting Attacks March 29, 2011 - 3:05pm Addthis PROBLEM: HP Diagnostics Input Validation Hole Permits Cross-Site Scripting Attacks in ActiveSync Lets Remote Users Execute Arbitrary Code. PLATFORM: HP Diagnostics software: version(s) 7.5, 8.0 prior to 8.05.54.225 ABSTRACT: A potential security vulnerability has been identified in HP Diagnostics. The vulnerability could be exploited remotely resulting in cross site scripting (XSS). reference LINKS: HP Document ID: c02770512 SecurityTracker Alert ID: 1025255 CVE-2011-0892 Security Focus Document ID: c02770512 IMPACT ASSESSMENT: High Discussion: A vulnerability was reported in HP Diagnostics. A remote user can conduct

378

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

38: HP Service Manager Input Validation Flaw Permits Cross-Site 38: HP Service Manager Input Validation Flaw Permits Cross-Site Scripting Attacks U-238: HP Service Manager Input Validation Flaw Permits Cross-Site Scripting Attacks August 17, 2012 - 7:00am Addthis PROBLEM: HP Service Manager Input Validation Flaw Permits Cross-Site Scripting Attacks PLATFORM: Version(s): 7.11, 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 to inject arbitrary web script or HTML via unspecified vectors. REFERENCE LINKS: www2.hp.com http://www.securitytracker.com/id/1027399 CVE-2012-3251 IMPACT ASSESSMENT: Moderate Discussion: A vulnerability was reported in HP Service Manager. A remote user can conduct cross-site scripting attacks. The software does not properly filter

379

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

6: Microsoft MHTML Input Validation Hole May Permit Cross-Site 6: Microsoft MHTML Input Validation Hole May Permit Cross-Site Scripting Attacks Arbitrary Code T-546: Microsoft MHTML Input Validation Hole May Permit Cross-Site Scripting Attacks Arbitrary Code January 31, 2011 - 7:00am Addthis PROBLEM: Microsoft MHTML Input Validation Hole May Permit Cross-Site Scripting Attacks Arbitrary Code. PLATFORM: Microsoft 2003 SP2, Vista SP2, 2008 SP2, XP SP3, 7; and prior service packs ABSTRACT: A vulnerability was reported in Microsoft MHTML. A remote user can conduct cross-site scripting attacks. reference LINKS: Microsoft Security Advisory 2501696 Microsoft Support Security Tracker Alert CVE-2011-0096 IMPACT ASSESSMENT: Medium Discussion: The vulnerability exists due to the way MHTML interprets MIME-formatted requests for content blocks within a document. It is possible for this

380

V-034: RSA Adaptive Authentication (On-Premise) Input Validation Flaws  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4: RSA Adaptive Authentication (On-Premise) Input Validation 4: RSA Adaptive Authentication (On-Premise) Input Validation Flaws Permit Cross-Site Scripting Attacks V-034: RSA Adaptive Authentication (On-Premise) Input Validation Flaws Permit Cross-Site Scripting Attacks November 27, 2012 - 2:00am Addthis PROBLEM: RSA Adaptive Authentication (On-Premise) Input Validation Flaws Permit Cross-Site Scripting Attacks PLATFORM: RSA Adaptive Authentication (On-Premise) 6.x ABSTRACT: A vulnerability was reported in RSA Adaptive Authentication (On-Premise). REFERENCE LINKS: SecurityTracker Alert ID: 1027811 SecurityFocus Security Alert RSA Customer Support CVE-2012-4611 IMPACT ASSESSMENT: Medium DISCUSSION: A vulnerability was reported in RSA Adaptive Authentication (On-Premise). A remote user can conduct cross-site scripting attacks. The software does not

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2: Microsoft SharePoint Input Validation Flaws Permit 2: Microsoft SharePoint Input Validation Flaws Permit Cross-Site Scripting and Denial of Service Attacks V-112: Microsoft SharePoint Input Validation Flaws Permit Cross-Site Scripting and Denial of Service Attacks March 15, 2013 - 6:00am Addthis PROBLEM: Several vulnerabilities were reported in Microsoft SharePoint PLATFORM: Microsoft SharePoint 2010 SP1 ABSTRACT: This security update resolves four reported vulnerabilities in Microsoft SharePoint and Microsoft SharePoint Foundation. REFERENCE LINKS: Security Tracker Alert ID 1028278 MS Security Bulletin MS13-024 CVE-2013-0080 CVE-2013-0083 CVE-2013-0084 CVE-2013-0085 IMPACT ASSESSMENT: High DISCUSSION: The security update addresses the vulnerabilities correcting the way that Microsoft SharePoint Server validates URLs and user input.

382

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

15: CiscoWorks Common Services Home Page Input Validation Flaw 15: CiscoWorks Common Services Home Page Input Validation Flaw Lets Remote Users Execute Arbitrary Commands U-015: CiscoWorks Common Services Home Page Input Validation Flaw Lets Remote Users Execute Arbitrary Commands October 20, 2011 - 7:30am Addthis PROBLEM: CiscoWorks Common Services Home Page Input Validation Flaw Lets Remote Users Execute Arbitrary Commands. PLATFORM: CiscoWorks Common Services-based products prior to version 4.1 running on Microsoft Windows ABSTRACT: Successful exploitation of this vulnerability may allow an authenticated, remote attacker to execute arbitrary commands on the affected system with the privileges of a system administrator. reference LINKS: Cisco Security Advisory ID: cisco-sa-20111019-cs Cisco Security Advisories and Responses

383

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2: IBM WebSphere Commerce Edition Input Validation Holes Permit 2: IBM WebSphere Commerce Edition Input Validation Holes Permit Cross-Site Scripting Attacks T-722: IBM WebSphere Commerce Edition Input Validation Holes Permit Cross-Site Scripting Attacks September 21, 2011 - 8:15am Addthis PROBLEM: IBM WebSphere Commerce Edition Input Validation Holes Permit Cross-Site Scripting Attacks. PLATFORM: WebSphere Commerce Edition V7.0 ABSTRACT: A remote user can access the target user's cookies (including authentication cookies), if any, associated with the site running 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 LINKS: IBM Recommended Fixes for WebSphere Commerce IBM Support SecurityTracker Alert ID: 1026074

384

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2: Microsoft SharePoint Input Validation Flaws Permit 2: Microsoft SharePoint Input Validation Flaws Permit Cross-Site Scripting and Denial of Service Attacks V-112: Microsoft SharePoint Input Validation Flaws Permit Cross-Site Scripting and Denial of Service Attacks March 15, 2013 - 6:00am Addthis PROBLEM: Several vulnerabilities were reported in Microsoft SharePoint PLATFORM: Microsoft SharePoint 2010 SP1 ABSTRACT: This security update resolves four reported vulnerabilities in Microsoft SharePoint and Microsoft SharePoint Foundation. REFERENCE LINKS: Security Tracker Alert ID 1028278 MS Security Bulletin MS13-024 CVE-2013-0080 CVE-2013-0083 CVE-2013-0084 CVE-2013-0085 IMPACT ASSESSMENT: High DISCUSSION: The security update addresses the vulnerabilities correcting the way that Microsoft SharePoint Server validates URLs and user input.

385

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

0: HP Diagnostics Input Validation Hole Permits Cross-Site 0: HP Diagnostics Input Validation Hole Permits Cross-Site Scripting Attacks T-590: HP Diagnostics Input Validation Hole Permits Cross-Site Scripting Attacks March 29, 2011 - 3:05pm Addthis PROBLEM: HP Diagnostics Input Validation Hole Permits Cross-Site Scripting Attacks in ActiveSync Lets Remote Users Execute Arbitrary Code. PLATFORM: HP Diagnostics software: version(s) 7.5, 8.0 prior to 8.05.54.225 ABSTRACT: A potential security vulnerability has been identified in HP Diagnostics. The vulnerability could be exploited remotely resulting in cross site scripting (XSS). reference LINKS: HP Document ID: c02770512 SecurityTracker Alert ID: 1025255 CVE-2011-0892 Security Focus Document ID: c02770512 IMPACT ASSESSMENT: High Discussion: A vulnerability was reported in HP Diagnostics. A remote user can conduct

386

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

E-Print Network (OSTI)

Is a Pressing Issue for ITER Loarte et al., Nuclear Fusion, ITER Physics Basis,Chapter 4 Recent results reducedBPO Inputs to ITER Design Review on Pellet Pacing, RMP and RWM Coils, and Disruption Mitigation

387

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

E-Print Network (OSTI)

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 ...

Roquet, Fabien

388

SEMILAR: A Semantic Similarity Toolkit For Assessing Students' Natural Language Inputs  

E-Print Network (OSTI)

SEMILAR: A Semantic Similarity Toolkit For Assessing Students' Natural Language Inputs Vasile Rus to understand students' natural language responses. Accurate assessment of students' responses enables, & Graesser, in press). There are at least two different types of natural language assessments

Rus, Vasile

389

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

E-Print Network (OSTI)

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 ...

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

390

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

391

Code design for multiple-input multiple-output broadcast channels  

E-Print Network (OSTI)

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...

Uppal, Momin Ayub

2009-06-02T23:59:59.000Z

392

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

E-Print Network (OSTI)

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

Park, Pil Ja

2002-01-01T23:59:59.000Z

393

A Survey of Inputs to the North Sea Resulting from Oil and Gas Developments [and Discussion  

Science Journals Connector (OSTI)

...annual inputs from the offshore oil and gas exploration and...of fresh, unweathered oil rapidly enters otherwise uncontaminated offshore sediments, producing...remain little affected by offshore oil and gas developments...

1987-01-01T23:59:59.000Z

394

Weathering rates in catchments calculated by different methods and their relationship to acidic inputs  

Science Journals Connector (OSTI)

The sensitivity of catchments to acidification is often assessed by calculation of weathering rates for comparison of the rates of release of base cations with the measured acidic inputs. Methods of calculatio...

D. C. Bain; S. J. Langan

395

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

NLE Websites -- All DOE Office Websites (Extended Search)

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

396

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

Energy.gov (U.S. Department of Energy (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.

397

Factors Controlling the Input of Electrical Energy into a Fish in an ...  

Science Journals Connector (OSTI)

of these conditions may cause changes in energy-input t,o the fish by ... errors during measurement owing to elcctrol- .... drop per unit length in the water immedi-.

1999-12-13T23:59:59.000Z

398

Stabilizability of the linear algebro-differential one-input control systems  

Science Journals Connector (OSTI)

Consideration was given to the controllable system of ordinary linear differential equations with the matrix at the derivative of the desired vector function that is identically degenerate in the domain of definition. For the one-input systems, the questions ...

A. A. Shcheglova

2010-09-01T23:59:59.000Z

399

Gate-diffusion input (GDI): a power-efficient method for digital combinatorial circuits  

Science Journals Connector (OSTI)

Gate diffusion input (GDI) - a new technique of low-power digital combinatorial circuit design - is described. This technique allows reducing power consumption, propagation delay, and area of digital circuits while maintaining low complexity of logic ...

A. Morgenshtein; A. Fish; I. A. Wagner

2002-10-01T23:59:59.000Z

400

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

E-Print Network (OSTI)

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

Vidal Codina, Ferran

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

U-270:Trend Micro Control Manager Input Validation Flaw in Ad Hoc Query  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

0:Trend Micro Control Manager Input Validation Flaw in Ad Hoc 0:Trend Micro Control Manager Input Validation Flaw in Ad Hoc Query Module Lets Remote Users Inject SQL Commands U-270:Trend Micro Control Manager Input Validation Flaw in Ad Hoc Query Module Lets Remote Users Inject SQL Commands September 28, 2012 - 6:00am Addthis PROBLEM: Trend Micro Control Manager Input Validation Flaw in Ad Hoc Query Module Lets Remote Users Inject SQL Commands PLATFORM: Control Manager - 3.0, 3.5, 5.0, 5.5, 6.0 ABSTRACT: Trend Micro has been notified of a potential product vulnerability in Control Manager. reference LINKS: Trend Micro Technical Support ID 1061043 SecurityTracker Alert ID: 1027584 Secunia Advisory SA50760 CVE-2012-2998 IMPACT ASSESSMENT: Medium Discussion: A vulnerability has been reported in Trend Micro Control Manager, which can

402

U.S. Crude Input Rising -- Still Need +1 MMB/D Through Mid-Summer  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: Refineries in fourth quarter 1999 and first quarter 2000 were running at fairly low input rates compared to prior years, despite higher demand. U.S. refineries typically increase their crude inputs during the second quarter over the first quarter as they return from maintenance and turnaround schedules to ramp up for the high demand gasoline season. The year began with low refining margins and a low level of crude inputs in January and February. This created a lower base than last year from which to grow into the summer gasoline season, when inputs will need to peak at higher levels than in 1998 or 1999. The good news is that crude runs have been increasing strongly as expected during March the first quarter. Keep in mind that they still need an additional 1 million barrels per day of crude oil between now and mid

403

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DOE Seeks Public Input on an Integrated, Interagency DOE Seeks Public Input on an Integrated, Interagency Pre-Application Process for Transmission Authorizations DOE Seeks Public Input on an Integrated, Interagency Pre-Application Process for Transmission Authorizations August 29, 2013 - 9:09am Addthis A Request for Information (RFI) seeking public input for a draft Integrated, Interagency Pre-application (IIP) Process was published in the Federal Register on August 29, 2013. The Federal Register Notice is available now for downloading. Comments must be received on or before September 30, 2013. As comments are received, they will be posted online. The proposed IIP Process is intended to improve interagency and intergovernmental coordination focused on ensuring that project proponents develop and submit accurate and complete information early in the project

404

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

5: CiscoWorks Common Services Home Page Input Validation Flaw 5: CiscoWorks Common Services Home Page Input Validation Flaw Lets Remote Users Execute Arbitrary Commands U-015: CiscoWorks Common Services Home Page Input Validation Flaw Lets Remote Users Execute Arbitrary Commands October 20, 2011 - 7:30am Addthis PROBLEM: CiscoWorks Common Services Home Page Input Validation Flaw Lets Remote Users Execute Arbitrary Commands. PLATFORM: CiscoWorks Common Services-based products prior to version 4.1 running on Microsoft Windows ABSTRACT: Successful exploitation of this vulnerability may allow an authenticated, remote attacker to execute arbitrary commands on the affected system with the privileges of a system administrator. reference LINKS: Cisco Security Advisory ID: cisco-sa-20111019-cs Cisco Security Advisories and Responses

405

Table A54. Number of Establishments by Total Inputs of Energy for Heat, Powe  

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

Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," " by Industry Group, Selected Industries, and" " Presence of General Technologies, 1994: Part 2" ,," "," ",," "," ",," "," "," "," " ,,,,"Computer Control" ,," "," ","of Processes"," "," ",," "," ",," " ,," ","Computer Control","or Major",,,"One or More"," ","RSE" "SIC"," ",,"of Building","Energy-Using","Waste Heat"," Adjustable-Speed","General Technologies","None","Row"

406

Table A45. Total Inputs of Energy for Heat, Power, and Electricity Generation  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Enclosed Floorspace, Percent Conditioned Floorspace, and Presence of Computer" " Controls for Building Environment, 1991" " (Estimates in Trillion Btu)" ,,"Presence of Computer Controls" ,," for Buildings Environment",,"RSE" "Enclosed Floorspace and"," ","--------------","--------------","Row" "Percent Conditioned Floorspace","Total","Present","Not Present","Factors" " "," " "RSE Column Factors:",0.8,1.3,0.9 "ALL SQUARE FEET CATEGORIES" "Approximate Conditioned Floorspace"

407

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

E-Print Network (OSTI)

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

Paulson, Brandon C.

2011-08-08T23:59:59.000Z

408

CD54ACT00, CD74ACT00 QUADRUPLE 2-INPUT POSITIVE-NAND GATES  

E-Print Network (OSTI)

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

Kretchmar, R. Matthew

409

Table A31. Total Inputs of Energy for Heat, Power, and Electricity Generation  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Value of Shipment Categories, Industry Group, and Selected Industries, 1991" " (Continued)" " (Estimates in Trillion Btu)",,,,"Value of Shipments and Receipts(b)" ,,,," (million dollars)" ,,,"-","-","-","-","-","-","RSE" "SIC"," "," "," "," "," "," "," ",500,"Row" "Code(a)","Industry Groups and Industry","Total","Under 20","20-49","50-99","100-249","250-499","and Over","Factors"

410

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

E-Print Network (OSTI)

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

Shah, Bijay Kamleshbhai

2009-05-15T23:59:59.000Z

411

Fixed Parameter Algorithms Daniel Marx  

E-Print Network (OSTI)

, for example k-CLIQUE and k-INDEPENDENT SET, no FPT algorithm is known. Can we show that these problems if and only if it has a vertex cover of size n - k. Transforming an INDEPENDENT SET instance (G, k, but INDEPENDENT SET is not known to be FPT. Fixed Parameter Algorithms ­ p.5/41 #12;Parameterized reduction

Fondements et Applications, Université Paris 7

412

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

E-Print Network (OSTI)

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 ...

Zhai, Xiaoming

413

AC Loss Measurements on a 2G YBCO Coil  

SciTech Connect

The Oak Ridge National Laboratory (ORNL) is collaborating with Waukesha Electric Systems (WES) to continue development of HTS power transformers. For compatibility with the existing power grid, a commercially viable HTS transformer will have to operate at high voltages in the range of 138 kV and above, and will have to withstand 550-kV impulse voltages as well. Second-generation (2G) YBCO coated conductors will be required for an economically-competitive design. In order to adequately size the refrigeration system for these transformers, the ac loss of these HTS coils must be characterized. Electrical AC loss measurements were conducted on a prototype high voltage (HV) coil with co-wound stainless steel at 60 Hz in a liquid nitrogen bath using a lock-in amplifier technique. The prototype HV coil consisted of 26 continuous (without splice) single pancake coils concentrically centered on a stainless steel former. For ac loss measurement purposes, voltage tap pairs were soldered across each set of two single pancake coils so that a total of 13 separate voltage measurements could be made across the entire length of the coil. AC loss measurements were taken as a function of ac excitation current. Results show that the loss is primarily concentrated at the ends of the coil where the operating fraction of critical current is the highest and show a distinct difference in current scaling of the losses between low current and high current regimes.

Rey, Christopher M [ORNL] [ORNL; Duckworth, Robert C [ORNL] [ORNL; Schwenterly, S W [ORNL] [ORNL

2011-01-01T23:59:59.000Z

414

A Comparison of Greedy and Optimal Assessment of Natural Language Student Input Using Word-to-Word Similarity Metrics  

E-Print Network (OSTI)

A Comparison of Greedy and Optimal Assessment of Natural Language Student Input Using Word-to-word similarity metrics to solve the important task of assessing natural language student input in dialogue of assessing natural language student input in dialogue-based tutoring systems where the primary form

Rus, Vasile

415

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

E-Print Network (OSTI)

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

Gille, Sarah T.

416

E-Print Network 3.0 - ac metal-enclosed switchgear Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

Anne 2011 Prsente devant Summary: -design; Transmission System; Life Cycle Assessment (LCA); 765 kV AC; 1000 kV AC; Ultra High Voltage; Extra High Voltage... Acidification AAC...

417

Docket No. EERE-2011-BT-NOA-0067 and RIN Number 1904-AC52 Ex...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

1-BT-NOA-0067 and RIN Number 1904-AC52 Ex parte Communication Docket No. EERE-2011-BT-NOA-0067 and RIN Number 1904-AC52 Ex parte Communication This memorandum for the record...

418

AVTA Voltec AC Level 1 and Level 2 Charging Systems Testing Results...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

AVTA Voltec AC Level 1 and Level 2 Charging Systems Testing Results AVTA Voltec AC Level 1 and Level 2 Charging Systems Testing Results The Vehicle Technologies Office's Advanced...

419

AVTA: GE Energy WattStation AC Level 2 Charging System Testing...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

GE Energy WattStation AC Level 2 Charging System Testing Results AVTA: GE Energy WattStation AC Level 2 Charging System Testing Results The Vehicle Technologies Office's Advanced...

420

AVTA: ChargePoint AC Level 2 Charging System Testing Results...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

AVTA: ChargePoint AC Level 2 Charging System Testing Results AVTA: ChargePoint AC Level 2 Charging System Testing Results The Vehicle Technologies Office's Advanced Vehicle Testing...

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Type Ia supernova diversity: white dwarf central density as a secondary parameter in three-dimensional delayed detonation models  

Science Journals Connector (OSTI)

......function of redshift. The standard model of SNe Ia relies on the nuclear fusion of the initial composition (predominantly 12C and 16O) of...generated from a Monte Carlo based algorithm. The primary input parameters are the number of the ignition kernels and the......

I. R. Seitenzahl; F. Ciaraldi-Schoolmann; F. K. Rpke

2011-07-01T23:59:59.000Z

422

,"U.S. Downstream Processing of Fresh Feed Input"  

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

Annual",2012,"6/30/1987" Annual",2012,"6/30/1987" ,"Release Date:","9/27/2013" ,"Next Release Date:","9/26/2014" ,"Excel File Name:","pet_pnp_dwns_dc_nus_mbblpd_a.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_dwns_dc_nus_mbblpd_a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202) 586-8800",,,"11/25/2013 11:17:28 AM" "Back to Contents","Data 1: U.S. Downstream Processing of Fresh Feed Input" "Sourcekey","M_NA_YDR_NUS_MBBLD","MCRCCUS2","MCRCHUS2","MCRDFUS2" "Date","U.S. Downstream Processing of Fresh Feed Input by Catalytic Reforming Units (Thousand Barrels per Day)","U.S. Downstream Processing of Fresh Feed Input by Catalytic Cracking Units (Thousand Barrels per Day)","U.S. Downstream Processing of Fresh Feed Input by Catalytic Hydrocracking Units (Thousand Barrels per Day)","U.S. Downstream Processing of Fresh Feed Input by Delayed and Fluid Coking Units (Thousand Barrels per Day)"

423

LCA of cropping systems with different external input levels for energetic purposes  

Science Journals Connector (OSTI)

Biofuels could become increasingly important for agriculture; however there is growing concern regarding the possible environmental drawbacks due to the risks of increased inputs during crop cultivation. These risks need to be evaluated in order to assess the best management practices. In this study, a life cycle assessment (LCA) was carried out: (i) to evaluate the environmental impacts of three cropping systems characterized by different external input levels (low S1, medium S2 and high S3) applied to sunflower and maize, both in rotation with wheat, in a Mediterranean region; (ii) to estimate the environmental benefits of the optimization of cropping systems for energy management. Outputinput ratio, net energy balance, global warming potential (GWP), eutrophication potential (EP) and acidification potential (AP) were used as LCA impact categories. Data from cropping systems (external input and crop yields) were collected from a long-term experiment carried out in the coastal plain of Tuscany; data regarding fertilizers, machinery and pesticide production were taken from literature. The results obtained showed S1 with the highest outputinput ratios and the lowest impact for the selected impact categories. The other cropping systems S2 and S3 showed limited differences between them for all the impact categories evaluated. Fertilizer use and application, irrigation and machinery use caused most of the environmental impacts and energy consumption. The allocation procedure, showing residues as co-products, had a strong influence on the overall efficiency of agricultural systems.

Pietro Goglio; Enrico Bonari; Marco Mazzoncini

2012-01-01T23:59:59.000Z

424

Boys and Girls, Be Ambitious! http://www.math.sci.hokudai.ac.jp/message/message-graduates/  

E-Print Network (OSTI)

://www.math.sci.hokudai.ac.jp/ #12;AIKAWA, Hiroaki WebPage http://www.math.sci.hokudai.ac.jp/ aik/index-j.html Fatou Martin Harnack AKITA, Toshiyuki WebPage http://www.math.sci.hokudai.ac.jp/ akita/ Eilenberg-MacLane Coxeter #12;ASAKURA, Masanori ARAI, Asao ABE, Noriyuki WebPage http://www.math.sci.hokudai.ac.jp/ abenori/ #12;ISHIKAWA, Goo Web

Nakamura, Iku

425

Sarah.Glynn@ed.ac.uk April 2008 Liberalising Islam: creating Brits of the Islamic Persuasion  

E-Print Network (OSTI)

.Glynn@ed.ac.uk April 2008 1 Liberalising Islam: creating Brits of the Islamic Persuasion In common with other

426

DE-AC05-06OR23100 Section H  

NLE Websites -- All DOE Office Websites (Extended Search)

DE-AC05-06OR23100 DE-AC05-06OR23100 Section H - Page 1 of 29 PART I - SCHEDULE SECTION H SPECIAL CONTRACT REQUIREMENTS H.1 CONSECUTIVE NUMBERING (MAY 1997)......................................................................... 4 H.2 MODIFICATION AUTHORITY (MAY 1997) ....................................................................... 4 H.3 OVERSIGHT OF CONTRACTOR (OCT 2004)..................................................................... 4 H.4 SMALL BUSINESS SUBCONTRACTING PLAN (SEPT 1999)............................................ 5 H.5 SAFEGUARDS AND SECURITY AWARENESS PROGRAM (MAY 1997)........................ 5 H.6 QUALITY ASSURANCE SYSTEM ALTERNATE I (JUL 2004).......................................... 5 H.7 CONFIDENTIALITY OF INFORMATION (MAY 1997)...................................................... 6 H.8 INDIRECT

427

Study of AC/RF properties of SRF ingot niobium  

SciTech Connect

In an attempt to correlate the performance of superconducting radiofrequency cavities made of niobium with the superconducting properties, we present the results of the magnetization and ac susceptibility of the niobium used in the superconducting radiofrequency cavity fabrication. The samples were subjected to buffer chemical polishing (BCP) surface and high temperature heat treatments, typically applied to the cavities fabrications. The analysis of the results show the different surface and bulk ac conductivity for the samples subjected to BCP and heat treatment. Furthermore, the RF surface impedance is measured on the sample using a TE011 microwave cavity for a comparison to the low frequency measurements.

Dhakal, Pashupati; Tsindlekht, Menachem I.; Genkin, Valery M.; Ciovati, Gianluigi; Myneni, Ganapati Rao

2013-09-01T23:59:59.000Z

428

(mercury.yukawa.kyoto-u.ac.jp)ssh Permission denied (publickey).  

E-Print Network (OSTI)

SSH Q&A (mercury.yukawa.kyoto-u.ac.jp)ssh Permission denied (publickey). (1) ID ID ID (2) ssh -i () ssh -i $HOME/.ssh/id_yitp_rsa (UID)@mercury.yukawa.kyoto-u.ac.jp (3) (1)(2) Permission denied support@yukawa.kyoto-u.ac.jp (mercury

Shimizu, Akira

429

Contract No. DE-AC05-76RL01830 Modification M943  

E-Print Network (OSTI)

Contract No. DE-AC05-76RL01830 Modification M943 SECTION J APPENDIX A ADVANCE UNDERSTANDINGS ON HUMAN RESOURCES COST Applicable to the Operation of PACIFIC NORTHWEST NATIONAL LABORATORY Contract No. DE-AC05-76RL01830 #12;Contract No. DE-AC05-76RL01830 Modification M943 J-A-1 Table of Contents

430

Contract Number: DE-AC05-76RL01830 Modification M957  

E-Print Network (OSTI)

Contract Number: DE-AC05-76RL01830 Modification M957 APPENDIX E STANDARDS OF PERFORMANCE-BASED FEE OF THE PACIFIC NORTHWEST NATIONAL LABORATORY #12;Contract Number: DE-AC05-76RL01830 Modification M957 APPENDIX E FOR MANAGEMENT AND OPERATIONS OF THE PACIFIC NORTHWEST NATIONAL LABORATORY #12;Contract Number: DE-AC05-76RL01830

431

DEPARTMENT OF ENERGY SOLICITS PUBLIC INPUT TO INFORM DEVELOPMENT OF A  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DEPARTMENT OF ENERGY SOLICITS PUBLIC INPUT TO INFORM DEVELOPMENT OF DEPARTMENT OF ENERGY SOLICITS PUBLIC INPUT TO INFORM DEVELOPMENT OF A PREFERRED ALTERNATIVE FOR DISPOSAL OF GREATER-THAN-CLASS C WASTE DEPARTMENT OF ENERGY SOLICITS PUBLIC INPUT TO INFORM DEVELOPMENT OF A PREFERRED ALTERNATIVE FOR DISPOSAL OF GREATER-THAN-CLASS C WASTE March 1, 2011 - 12:00pm Addthis During the months of April and May, 2011 the Department of Energy's Office of Environmental Management will be holding nine public hearings on the Draft Environmental Impact Statement (EIS) for the Disposal of Greater-Than-Class C (GTCC) Low-Level Radioactive Waste and GTCC-Like Waste. Hearings will be held at the each of the sites being considered for disposal of GTCC wastes and in Washington, DC. DOE does not have a preferred alternative at this time. These hearings will

432

DOE Seeks Further Public Input on How Best To Streamline Existing  

NLE Websites -- All DOE Office Websites (Extended Search)

Further Public Input on How Best To Streamline Existing Further Public Input on How Best To Streamline Existing Regulations DOE Seeks Further Public Input on How Best To Streamline Existing Regulations December 7, 2011 - 12:34pm Addthis The Department of Energy (DOE) has announced a further step to implementing the President's Executive Order on Improving Regulatory Review. The Executive Order directs federal agencies to review existing regulations and determine whether they are still necessary and crafted effectively to solve current problems. Engaging the public in an open, transparent process is a crucial step in DOE's regulatory review process. Because public comments in response to the Request for Information (RFI) issued in January were important in the development of DOE's plan for retrospective regulatory review, DOE issued a second RFI this week asking the public how

433

,"Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities"  

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

Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities" Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities",16,"Monthly","9/2013","1/15/1985" ,"Release Date:","11/27/2013" ,"Next Release Date:","Last Week of December 2013" ,"Excel File Name:","pet_pnp_crq_a_epc0_ycs_pct_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_crq_a_epc0_ycs_pct_m.htm" ,"Source:","Energy Information Administration"

434

Inputoutput signal selection for damping of power system oscillations using wind power plants  

Science Journals Connector (OSTI)

Abstract During the last years wind power has emerged as one of the most important sources in the power generation share. Due to stringent Grid Code requirements, wind power plants (WPPs) should provide ancillary services such as fault ride-through and damping of power system oscillations to resemble conventional generation. Through an adequate selection of inputoutput signal pairs, \\{WPPs\\} can be effectively used to provide electromechanical oscillations damping. In this paper, different analysis techniques considering both controllability and observability measures and inputoutput interactions are compared and critically examined. Recommendations are drawn to select the best signal pairs available from \\{WPPs\\} to contribute to power oscillations damping. Control system design approaches including single-input single-output and multivariable control are considered. The recommendation of analysis techniques is justified through the tools usage in a test system including a WPP.

Jos Luis Domnguez-Garca; Carlos E. Ugalde-Loo; Fernando Bianchi; Oriol Gomis-Bellmunt

2014-01-01T23:59:59.000Z

435

A multiple-input operational transconductance amplifier with a wide linear range  

E-Print Network (OSTI)

off'set is canceled 4. 3 Current mirrors 4. 4 Circuit I, a two- input COTA 4. 5 DC transfer function for circuit, I 37 39 40 tx 4. 6 4. 7 4. 8 4. 9 4. 10 5. 1 5. 2 5. 3 5. 4 5. 5 5. 6 5. 7 5. 8a 5. 8b 6. 1 6. 2a 6. 2b 6. 3 6...; (C1 G2 Vo )C2 Fig. 2. 2 An OTA filter circuit. The input stage is an emitter ? coupled differential amplifier and the output stage consists of one or more current mirrors. Of the two sections, the input stage has the most affect...

Reed, Russell Deryl

2012-06-07T23:59:59.000Z

436

USDA, Departments of Energy and Navy Seek Input from Industry to Advance  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

USDA, Departments of Energy and Navy Seek Input from Industry to USDA, Departments of Energy and Navy Seek Input from Industry to Advance Biofuels for Military and Commercial Transportation USDA, Departments of Energy and Navy Seek Input from Industry to Advance Biofuels for Military and Commercial Transportation August 30, 2011 - 12:23pm Addthis WASHINGTON, Aug. 30, 2011 -Secretary of Agriculture Tom Vilsack, Secretary of Energy Steven Chu, and Secretary of the Navy Ray Mabus today announced the next step in the creation of a public-private partnership to develop drop-in advanced biofuels. The Secretaries issued a Request for Information (RFI) laying out the Administration's goals, assumptions, and tools and requesting from industry specific ideas for how to leverage private capital markets to establish a commercially viable drop-in biofuels

437

Table A50. Total Inputs of Energy for Heat, Power, and Electricity Generatio  

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

A50. Total Inputs of Energy for Heat, Power, and Electricity Generation" A50. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Industry Group, Selected Industries, and Type of" " Energy-Management Program, 1994" " (Estimates in Trillion Btu)" ,,,," Census Region",,,"RSE" "SIC",,,,,,,"Row" "Code(a)","Industry Group and Industry","Total","Northeast","Midwest","South","West","Factors" ,"RSE Column Factors:",0.7,1.2,1.1,0.9,1.2 "20-39","ALL INDUSTRY GROUPS" ,"Participation in One or More of the Following Types of Programs",12605,1209,3303,6386,1706,2.9

438

Table A55. Number of Establishments by Total Inputs of Energy for Heat, Powe  

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

Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," " by Industry Group, Selected Industries, and" " Presence of Cogeneration Technologies, 1994: Part 2" ,,,"Steam Turbines",,,,"Steam Turbines" ,," ","Supplied by Either","Conventional",,,"Supplied by","One or More",," " " "," ",,"Conventional","Combustion ","Combined-Cycle","Internal Combustion","Heat Recovered from","Cogeneration",,"RSE" "SIC"," ",,"or Fluidized","Turbines with","Combustion","Engines with","High-Temperature","Technologies","None","Row"

439

Table A39. Selected Combustible Inputs of Energy for Heat, Power, and  

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

9. Selected Combustible Inputs of Energy for Heat, Power, and" 9. Selected Combustible Inputs of Energy for Heat, Power, and" " Electricity Generation and Net Demand for Electricity by Fuel Type, Census" " Region, and End Use, 1991: Part 2" " (Estimates in Trillion Btu)" ,,,"Distillate",,,"Coal" ,"Net Demand",,"Fuel Oil",,,"(excluding","RSE" ,"for","Residual","and",,,"Coal Coke","Row" "End-Use Categories","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","LPG","and Breeze)","Factors" "Total United States" "RSE Column Factors:",0.4,1.7,1.5,0.7,1,1.6

440

Effect of input pulse chirp on nonlinear energy deposition and plasma excitation in water  

E-Print Network (OSTI)

We analyze numerically and experimentally the effect of the input pulse chirp on the nonlinear energy transfer from 5 {\\mu}J fs-pulses at 800 nm to water. Numerical results are also shown for pulses at 400 nm, where linear losses are minimized, and for different focusing geometries. Input chirp is found to have a big impact on the transmitted energy and on the plasma distribution around focus, thus providing a simple and effective mechanism to tune the electron density and energy deposition. We identify three relevant ways in which plasma features may be tuned.

Milin, C; Brelet, Y; Jukna, V; Houard, A; Mysyrowicz, A; Couairon, A

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Table A56. Number of Establishments by Total Inputs of Energy for Heat, Powe  

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

Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," " by Industry Group, Selected Industries, and" " Presence of Industry-Specific Technologies for Selected Industries, 1994: Part 2" ,,,"RSE" "SIC",,,"Row" "Code(a)","Industry Group and Industry","Total(b)","Factors" ,"RSE Column Factors:",1 20,"FOOD and KINDRED PRODUCTS" ,"Industry-Specific Technologies" ,"One or More Industry-Specific Technologies Present",2353,9 ," Infrared Heating",607,13 ," Microwave Drying",127,21 ," Closed-Cycle Heat Pump System Used to Recover Heat",786,19

442

Table A13. Selected Combustible Inputs of Energy for Heat, Power, and  

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

3. Selected Combustible Inputs of Energy for Heat, Power, and" 3. Selected Combustible Inputs of Energy for Heat, Power, and" " Electricity Generation and Net Demand for Electricity by Fuel Type," " Census Region, Census Division, and End Use, 1994: Part 1" " (Estimates in Btu or Physical Units)" ,,,,,,"Coal" ,,,"Distillate",,,"(excluding" ,"Net Demand",,"Fuel Oil",,,"Coal Coke" ,"for","Residual","and","Natural Gas(c)",,"and Breeze)","RSE" ,"Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","LPG","(1000 short","Row"

443

Table A15. Total Inputs of Energy for Heat, Power, and Electricity Generation  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Value of Shipment Categories, Industry Group, and Selected Industries, 1994" " (Estimates in Trillion Btu)" ,,,," Value of Shipments and Receipts(b)" ,,,," "," (million dollars)" ,,,,,,,,,"RSE" "SIC"," "," "," "," "," "," "," ",500,"Row" "Code(a)","Industry Group and Industry","Total","Under 20","20-49","50-99","100-249","250-499","and Over","Factors" ,"RSE Column Factors:",0.6,1.3,1,1,0.9,1.2,1.2

444

Table A41. Total Inputs of Energy for Heat, Power, and Electricity  

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

A41. Total Inputs of Energy for Heat, Power, and Electricity" A41. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Census Region, Industry Group, Selected Industries, and Type of" " Energy Management Program, 1991" " (Estimates in Trillion Btu)" ,,," Census Region",,,,"RSE" "SIC","Industry Groups",," -------------------------------------------",,,,"Row" "Code(a)","and Industry","Total","Northeast","Midwest","South","West","Factors" ,"RSE Column Factors:",0.7,1.3,1,0.9,1.2 "20-39","ALL INDUSTRY GROUPS" ,"Participation in One or More of the Following Types of Programs",10743,1150,2819,5309,1464,2.6,,,"/WIR{D}~"

445

The Efficacy of Galaxy Shape Parameters in Photometric Redshift Estimation: A Neural Network Approach  

SciTech Connect

We present a determination of the effects of including galaxy morphological parameters in photometric redshift estimation with an artificial neural network method. Neural networks, which recognize patterns in the information content of data in an unbiased way, can be a useful estimator of the additional information contained in extra parameters, such as those describing morphology, if the input data are treated on an equal footing. We show that certain principal components of the morphology information are correlated with galaxy type. However, we find that for the data used the inclusion of morphological information does not have a statistically significant benefit for photometric redshift estimation with the techniques employed here. The inclusion of these parameters may result in a trade-off between extra information and additional noise, with the additional noise becoming more dominant as more parameters are added.

Singal, J.; Shmakova, M.; Gerke, B.; /KIPAC, Menlo Park /SLAC /Stanford U.; Griffith, R.L.; /Caltech, JPL; Lotz, J.; /NOAO, Tucson

2011-05-20T23:59:59.000Z

446

Allianz Climate Solutions ACS GmbH | Open Energy Information  

Open Energy Info (EERE)

Allianz Climate Solutions ACS GmbH Allianz Climate Solutions ACS GmbH Jump to: navigation, search Name Allianz Climate Solutions (ACS) GmbH Place Munich, Germany Zip 80802 Product Munich-based subsidiary of insurance and asset management provider Allianz SE. ACS acts as investment manager, service provider and advisor of climate solutions for Allianz Group and external customers. Coordinates 48.136415°, 11.577531° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":48.136415,"lon":11.577531,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

447

www.cardiff.ac.uk/annualreview2013 ANNUALREVIEW  

E-Print Network (OSTI)

www.cardiff.ac.uk/annualreview2013 2013 ANNUALREVIEW #12;2 The Way Forward outlines our ambition, I must mention one key project that has occupied the time and energy of many staff in Schools's energy challenges and tackling the lasting effects of industrial activity. Individuals too, were singled

Davies, Christopher

448

FBDEditor: {ldalove, atang34, syjsmk, jbyoo}@konkuk.ac.kr  

E-Print Network (OSTI)

}@konkuk.ac.kr : Programmable Logic Controller (PLC) . Field Programmable Gate Array (FPGA) . PLC Function Controller (PLC) Field Programmable Gate Array (FPGA) . PLC IEC 61131-3 5 (LD: Ladder diagram) . FBD Function Block(FB) . FBD PLC . FPGA Hardware Description Language

449

www.cardiff.ac.uk/ifp International Foundation  

E-Print Network (OSTI)

www.cardiff.ac.uk/ifp International Foundation Programme Business, Engineering, Health & Life Sciences #12;Welcome to the International Foundation Programme at Cardiff University What is the IFP? The International Foundation Programme (IFP) is a one-year academic programme designed to give you the academic

Davies, Christopher

450

www.eprg.group.cam.ac.uk EPRGWORKINGPAPER  

E-Print Network (OSTI)

www.eprg.group.cam.ac.uk EPRGWORKINGPAPER Abstract Nuclear Energy in the Enlarged European Union of nuclear energy and notes that it has shifted significantly as the European Union has grown from 15 member states to 27. The proportion of member states with nuclear energy experience has increased markedly. Also

Aickelin, Uwe

451

www.eprg.group.cam.ac.uk EPRGWORKINGPAPERNON-TECHNICALSUMMARY  

E-Print Network (OSTI)

www.eprg.group.cam.ac.uk EPRGWORKINGPAPERNON-TECHNICALSUMMARY Third Party Nuclear Liability 1207 Anthony Thomas and Raphael J. Heffron With a return to nuclear new build expected in the UK, the clarification of the position of a Supplier and their potential to be liable for nuclear damage is of vital

Aickelin, Uwe

452

www.eprg.group.cam.ac.uk EPRGWORKINGPAPERNON-TECHNICALSUMMARY  

E-Print Network (OSTI)

www.eprg.group.cam.ac.uk EPRGWORKINGPAPERNON-TECHNICALSUMMARY Nuclear Energy in the Enlarged in central and eastern Europe for nuclear power. This working paper notes that with the addition of 12 new significantly in favour of nuclear power. Furthermore several of these central and eastern EU countries have

Aickelin, Uwe

453

www.eprg.group.cam.ac.uk EPRGWORKINGPAPER  

E-Print Network (OSTI)

www.eprg.group.cam.ac.uk EPRGWORKINGPAPER Abstract Third Party Nuclear Liability: The Case Thomas and Raphael J. Heffron The law surrounding third party nuclear liability is important to all parties in the nuclear supply chain whether they are providing decommissioning services, project

Aickelin, Uwe

454

www.eprg.group.cam.ac.uk EPRGWORKINGPAPER  

E-Print Network (OSTI)

) falls and energy prices rises in one country may have little effect at the world level. Next, we examinewww.eprg.group.cam.ac.uk EPRGWORKINGPAPER Abstract The Economics of Energy (and Electricity) Demand-term trends of both energy and more specifically electricity consumption. This paper discusses some

Aickelin, Uwe

455

www.strath.ac.uk/engineering Faculty of Engineering  

E-Print Network (OSTI)

. The Faculty of Engineering wishes to thank all of our industrial partners who offer invaluable opportunitieswww.strath.ac.uk/engineering @StrathEng Faculty of Engineering Scholarships #12;Contents University of Strathclyde | Faculty of Engineering Scholarships Contents02 The Faculty of Engineering provides a wide range

Mottram, Nigel

456

Aircraft AC Generators: Hybrid System Modeling and Simulation  

E-Print Network (OSTI)

1 Aircraft AC Generators: Hybrid System Modeling and Simulation Ashraf Tantawy, Student Member--Integrated Drive Generators (IDGs) are the main source of electrical power for a number of critical systems is a difficult task. dq0 models have been developed for design and control of generators, but these models

Koutsoukos, Xenofon D.

457

Contract No. DE-AC27-IORV15051  

NLE Websites -- All DOE Office Websites (Extended Search)

Testing TOTAL 67,635,770.56 27,484,734.04 Page 2 of 5 Contract No. DE-AC27-10RV15051 Modification No. 49 SF-30 Continuation 3. The table in Contract Clause B.1, Type...

458

www.eprg.group.cam.ac.uk EPRGWORKINGPAPERNON-TECHNICALSUMMARY  

E-Print Network (OSTI)

www.eprg.group.cam.ac.uk EPRGWORKINGPAPERNON-TECHNICALSUMMARY The Economics of the Nord Stream with the construction of the Yamal-Europe pipeline in the 1990s and continued more recently with the Nord Stream west-European clients. The Nord Stream project has been politically controversial since its inception

Aickelin, Uwe

459

www.eprg.group.cam.ac.uk EPRGWORKINGPAPER  

E-Print Network (OSTI)

www.eprg.group.cam.ac.uk EPRGWORKINGPAPER Abstract The Economics of the Nord Stream Pipeline System M. Reiner We calculate the total cost of building Nord Stream and compare its levelised unit cost of shipping through Nord Stream is clearly lower than using the Ukrainian route and is only

Aickelin, Uwe

460

www.abdn.ac.uk/study Global Health  

E-Print Network (OSTI)

www.abdn.ac.uk/study Global Health & Management Master of Science/Postgraduate Diploma MSc/PgDip #12;The programme begins with cross-disciplinary Public Health Research training (Applied Statistics, Epidemiology, Qualitative Methods, Health Services Research and Systematic Reviewing) followed by courses

Levi, Ran

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

http://stir.ac.uk/4o Why study Marketing?  

E-Print Network (OSTI)

http://stir.ac.uk/4o BA(Hons) Marketing #12;Why study Marketing? Every business has end users, then Marketing may be the right degree for you. The course As you progress through your Marketing degree, you in a business setting. Team work ­ working in a group is an essential part of your Marketing degree, both during

Little, Tony

462

Carbon Nanotube Field-effect Transistors: AC Performance Capabilities.  

E-Print Network (OSTI)

Carbon Nanotube Field-effect Transistors: AC Performance Capabilities. D.L. Pulfrey, D.L. John-barrier carbon nanotube field-effect transistors are examined via simulations using a self-consistent Schrödinger is known about the DC capabilities of carbon nanotube field-effect transistors [1,2,3], and devices

Pulfrey, David L.

463

www.glasgow.ac.uk/library The University Library  

E-Print Network (OSTI)

www.glasgow.ac.uk/library The University Library for staff #12;www.facebook.com/uofglibrary twitter.com/uofglibrary instagram.com/uoglibrary Library Blog universityofglasgowlibrary.wordpress.com Welcome to the University Library Where is the Library? It's on Hillhead Street, next to the Hunterian Art Gallery, at the heart

Guo, Zaoyang

464

www.swansea.ac.uk Health & Safety Office  

E-Print Network (OSTI)

to a manageable / acceptable (safer) level. #12;www.swansea.ac.uk Health & Safety Office Hazard & Risk #12;www the control measures required to reduce or eliminate the risk to a manageable / acceptable (safer) level. #12 for hazard identification and associated Risk Assessment To be able to identify Hazards and recommend

Martin, Ralph R.

465

ACS WFC CCD Radiation Test: The Radiation Environment  

E-Print Network (OSTI)

of external surfaces by naturally occurring atomic oxygen. CCD detectors are particularly vulnerable to damage damage. A comprehensive discussion of the types of radiation damage known to occur in CCDs is beyond1 ACS WFC CCD Radiation Test: The Radiation Environment Michael R. Jones Space Telescope Science

Sirianni, Marco

466

Efficiency Ratings for the Daiken AC (Americas), Inc.  

E-Print Network (OSTI)

Efficiency Ratings for the Daiken AC (Americas), Inc. Altherma Air-to-Water Source Heat Pump System Description Model No. Capacity (tons) Space Heating Space Cooling SEER Water Heating Efficiency (E.F.)1 CEC Listing Date Heating Combined Hydronic HSPF E.F. Split Altherma LT ERLQ036

467

2D 3D * iklee)@yonsei.ac.kr  

E-Print Network (OSTI)

1 2012 2D 3D * 0 , 1 , 2 0,2 1 ( 0 skrcjstk, 2 iklee)@yonsei.ac.kr 1 rinthel Science, Yonsei University. 1 Dept. of Information Media, The University of Suwon. 2D 3D . 2D - , 3D (Disparity) 3D . . 1. 3D 3D . 3D 3D [1

Lee, In-Kwon

468

DE-AC27-08RV14800  

NLE Websites -- All DOE Office Websites (Extended Search)

SOLUTIONS LLC (A) (B) (C) (D) (E) (F) DE-AC27-08RV14800026 4. 1,860,841.43 for Rocky Flats Pension and PRB 5. 1,139,022.27 for Mound Pension and PRB and 6. 183,364.11...

469

Optimization of Operating Parameters for Minimum Mechanical Specific Energy in Drilling  

SciTech Connect

Efficiency in drilling is measured by Mechanical Specific Energy (MSE). MSE is the measure of the amount of energy input required to remove a unit volume of rock, expressed in units of energy input divided by volume removed. It can be expressed mathematically in terms of controllable parameters; Weight on Bit, Torque, Rate of Penetration, and RPM. It is well documented that minimizing MSE by optimizing controllable factors results in maximum Rate of Penetration. Current methods for computing MSE make it possible to minimize MSE in the field only through a trial-and-error process. This work makes it possible to compute the optimum drilling parameters that result in minimum MSE. The parameters that have been traditionally used to compute MSE are interdependent. Mathematical relationships between the parameters were established, and the conventional MSE equation was rewritten in terms of a single parameter, Weight on Bit, establishing a form that can be minimized mathematically. Once the optimum Weight on Bit was determined, the interdependent relationship that Weight on Bit has with Torque and Penetration per Revolution was used to determine optimum values for those parameters for a given drilling situation. The improved method was validated through laboratory experimentation and analysis of published data. Two rock types were subjected to four treatments each, and drilled in a controlled laboratory environment. The method was applied in each case, and the optimum parameters for minimum MSE were computed. The method demonstrated an accurate means to determine optimum drilling parameters of Weight on Bit, Torque, and Penetration per Revolution. A unique application of micro-cracking is also presented, which demonstrates that rock failure ahead of the bit is related to axial force more than to rotation speed.

Hamrick, Todd

2011-05-25T23:59:59.000Z

470

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

02: BlackBerry Enterprise Server Input Validation Flaw in 02: BlackBerry Enterprise Server Input Validation Flaw in BlackBerry Web Desktop Manager Permits Cross-Site Scripting Attacks T-602: BlackBerry Enterprise Server Input Validation Flaw in BlackBerry Web Desktop Manager Permits Cross-Site Scripting Attacks April 14, 2011 - 5:07am Addthis PROBLEM: BlackBerry Enterprise Server Input Validation Flaw in BlackBerry Web Desktop Manager Permits Cross-Site Scripting Attacks PLATFORM: BlackBerry Enterprise Server Express versions 5.0.1 and 5.0.2 for Microsoft Exchange, 5.0.2 for IBM Lotus Domino, 5.0.0 through 5.0.3 for Microsoft Exchange and IBM Lotus Domino, and version 5.0.1 for Novell GroupWise. OS Platform(s): Windows (2000), Windows (2003), Windows (2008) ABSTRACT: The BlackBerry Web Desktop Manager not properly filter HTML code from

471

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

E-Print Network (OSTI)

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

Kaber, David B.

472

Are plasma depletions in Saturn's ionosphere a signature of time-dependent water input?  

E-Print Network (OSTI)

Are plasma depletions in Saturn's ionosphere a signature of time- dependent water input? Luke Moore the presence of numerous ``ionospheric holes'', or plasma depletions, in Saturn's upper atmosphere that cannot the observed plasma depletions. The required influxes present a target to assess for the possible sources

Mendillo, Michael

473

Selecting the appropriate input data set when configuring a permanent workforce  

E-Print Network (OSTI)

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

Bard, Jonathan

474

Response of magnetostrictive smart structures to sinusoidal and step force inputs  

Science Journals Connector (OSTI)

Constitutive equations of magnetostrictive smart materials involving mechanical and magnetic fields are presented via Hamilton's principle. Finite element equations are used to solve the equations of motion subjected to different force inputs. Magnetostrictive ... Keywords: Fast Fourier Transformation, Magnotostriction, finite element, magnetic response, smart materials

Sultan Aljahdali; Syed J. Hyder

2006-04-01T23:59:59.000Z

475

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

E-Print Network (OSTI)

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

Kavcic, Aleksandar

476

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

E-Print Network (OSTI)

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

Liskiewicz, Maciej

477

Excitatory inputs to spiny cells in layers 4 and 6 of cat striate cortex  

Science Journals Connector (OSTI)

...into two or more classes. The great bulk of 31 EPSPs...strongly reminiscent of class 1 spiny stellate...with the apparently greater frequency (42...histograms of the three classes of input. Even...1999) they can be greater, for example...

2002-01-01T23:59:59.000Z

478

Economic Input?Output Life-Cycle Assessment of Trade Between Canada and the United States  

Science Journals Connector (OSTI)

We use an economic input?output life-cycle assessment (EIO-LCA) technique to estimate the economy-wide energy intensity and greenhouse gas (GHG) emissions intensity for 45 manufacturing and resource sectors in Canada and the United States. ... Support?Activities?for?Agriculture ...

Jonathan Norman; Alex D. Charpentier; Heather L. MacLean

2007-01-23T23:59:59.000Z

479

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

E-Print Network (OSTI)

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

Vandenberghe, Lieven

480

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

E-Print Network (OSTI)

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

Tsang Wai Hung "Ivor"

Note: This page contains sample records for the topic "ac input parameters" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

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

E-Print Network (OSTI)

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

Sontag, Eduardo

482

Motion Tasks for Robot Manipulators on Embedded 2-D Manifolds under Input Constraints  

E-Print Network (OSTI)

a task along a particular surface, such as robotic surface painting, surface cleaning, and surfaceMotion Tasks for Robot Manipulators on Embedded 2-D Manifolds under Input Constraints Xanthi the end effector of a robotic manipulator, which is constrained in terms of joint rates, on the surface

Tanner, Herbert G.

483

Assisted Teleoperation Strategies for Aggressively Controlling a Robot Arm with 2D Input  

E-Print Network (OSTI)

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 enable novice users to control robot arms successfully in applications such as material handling

Indiana University

484

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

E-Print Network (OSTI)

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

Duckett, Tom

485

Total electron and proton energy input during auroral substorms: Remote sensing with IMAGE-FUV  

E-Print Network (OSTI)

, it is found that the most critical factor is the assumption made on the energy of the auroral protonsTotal electron and proton energy input during auroral substorms: Remote sensing with IMAGE-FUV B and proton energy fluxes. The proton energy flux is derived from the Lyman a measurements on the basis

California at Berkeley, University of

486

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

E-Print Network (OSTI)

. Supplementary sensors may be necessary for some special solar systems (e. g. solar systems with several storagesQuality assurance of solar thermal systems with the ISFH- Input/Output-Procedure Peter Paerisch/Output-Controllers for in situ and automatic function control of solar thermal systems that were developed within the research

487

Responses of Magnocellular Neurons to Osmotic Stimulation Involves Coactivation of Excitatory and Inhibitory Input: An  

E-Print Network (OSTI)

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

Feng, Jianfeng

488

An update on the wind power input to the surface geostrophic flow of the World Ocean  

Science Journals Connector (OSTI)

The rate of working of the surface wind stress on the geostrophic component of the surface flow of the World Ocean is revisited. The global mean is found to be about 0.85 to 1.0TW. Consistent with previous estimates, about 0.75 to 0.9TW comes from outside the equatorial region (poleward of 3 ? ). The rate of forcing of fluctuating currents integrates to only about 0.02TW when the equatorial region is included, or close to zero over the extratropical region. Uncertainty in wind power input due to uncertainty in the surface currents is negligible. Results from several different wind stress products are compared, suggesting that uncertainty in wind stress is the dominant source of error. Ignoring the surface currents influence upon wind stress leads to a systematic bias in net wind power input; an overestimate of about 10 to 30%. (In previous estimates this positive bias was offset by too weak winds.) Small-scale, zonally elongated structures in the wind power input were found, but have both positive and negative contributions and lead to little net wind power input.

Robert B. Scott; Yongsheng Xu

2009-01-01T23:59:59.000Z

489

User Performance in Relation to 3D Input Device Design IBM Almaden Research Center  

E-Print Network (OSTI)

(performance measures), mouse based 6 DOF interaction, mouse modi- fications for 3D interfaces, free interfaces. The following issues are covered in the article: the multiple aspects of input device usability As three-dimensional (3D) graphics moves to the core of many mainstream computer systems and applications

Lindeman, Robert W.

490

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

E-Print Network (OSTI)

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 ...

Li, Yu, 1976-

2004-01-01T23:59:59.000Z

491

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

E-Print Network (OSTI)

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

492

IJS procedure for RELAP5 to TRACE input model conversion using SNAP  

SciTech Connect

The TRAC/RELAP Advanced Computational Engine (TRACE) advanced, best-estimate reactor systems code developed by the U.S. Nuclear Regulatory Commission comes with a graphical user interface called Symbolic Nuclear Analysis Package (SNAP). Much of efforts have been done in the past to develop the RELAP5 input decks. The purpose of this study is to demonstrate the Institut 'Josef Stefan' (IJS) conversion procedure from RELAP5 to TRACE input model of BETHSY facility. The IJS conversion procedure consists of eleven steps and is based on the use of SNAP. For calculations of the selected BETHSY 6.2TC test the RELAP5/MOD3.3 Patch 4 and TRACE V5.0 Patch 1 were used. The selected BETHSY 6.2TC test was 15.24 cm equivalent diameter horizontal cold leg break in the reference pressurized water reactor without high pressure and low pressure safety injection. The application of the IJS procedure for conversion of BETHSY input model showed that it is important to perform the steps in proper sequence. The overall calculated results obtained with TRACE using the converted RELAP5 model were close to experimental data and comparable to RELAP5/MOD3.3 calculations. Therefore it can be concluded, that proposed IJS conversion procedure was successfully demonstrated on the BETHSY integral test facility input model. (authors)

Prosek, A.; Berar, O. A. [Josef Stefan Inst., Jamova cesta 39, SI-1000 Ljubljana (Slovenia)

2012-07-01T23:59:59.000Z

493

ExperimentalVerification of Vibration Absorbers Combinedwith Input Shaping for Oscillatory Systems  

E-Print Network (OSTI)

ExperimentalVerification of Vibration Absorbers Combinedwith Input Shaping for Oscillatory Systems of Technology Atlanta, GA 30332 ABSTRACT Systems that exhibit flexible dynamics are susceptible to vibration choice to deal with these vibrations, but in many cases, it is insufficient or difficult to implement

Singhose, William

494

Frame-Scheduling for Input-Queued Switches with Energy Reconfiguration Costs  

E-Print Network (OSTI)

Frame-Scheduling for Input-Queued Switches with Energy Reconfiguration Costs Andrea Bianco, Paolo problems, mainly due to thermal issues that require complex cooling systems and to increasing energy costs scheduler determines a switching fabric configuration to transfer packets. We consider the energy

495

Soft switched high frequency ac-link converter  

E-Print Network (OSTI)

Variable frequency drives typically have employed dc voltage or current links for power distribution between the input and output converters and as a means to temporarily store energy. The dc link based power conversion systems have several inherent...

Balakrishnan, Anand Kumar

2009-05-15T23:59:59.000Z

496

Measuring neutrino oscillation parameters using $\  

SciTech Connect

MINOS is a long-baseline neutrino oscillation experiment. It consists of two large steel-scintillator tracking calorimeters. The near detector is situated at Fermilab, close to the production point of the NuMI muon-neutrino beam. The far detector is 735 km away, 716m underground in the Soudan mine, Northern Minnesota. The primary purpose of the MINOS experiment is to make precise measurements of the 'atmospheric' neutrino oscillation parameters ({Delta}m{sub atm}{sup 2} and sin{sup 2} 2{theta}{sub atm}). The oscillation signal consists of an energy-dependent deficit of {nu}{sub {mu}} interactions in the far detector. The near detector is used to characterize the properties of the beam before oscillations develop. The two-detector design allows many potential sources of systematic error in the far detector to be mitigated by the near detector observations. This thesis describes the details of the {nu}{sub {mu}}-disappearance analysis, and presents a new technique to estimate the hadronic energy of neutrino interactions. This estimator achieves a significant improvement in the energy resolution of the neutrino spectrum, and in the sensitivity of the neutrino oscillation fit. The systematic uncertainty on the hadronic energy scale was re-evaluated and found to be comparable to that of the energy estimator previously in use. The best-fit oscillation parameters of the {nu}{sub {mu}}-disappearance analysis, incorporating this new estimator were: {Delta}m{sup 2} = 2.32{sub -0.08}{sup +0.12} x 10{sup -3} eV{sup 2}, sin {sup 2} 2{theta} > 0.90 (90% C.L.). A similar analysis, using data from a period of running where the NuMI beam was operated in a configuration producing a predominantly {bar {nu}}{sub {mu}} beam, yielded somewhat different best-fit parameters {Delta}{bar m}{sup 2} = (3.36{sub -0.40}{sup +0.46}(stat.) {+-} 0.06(syst.)) x 10{sup -3}eV{sup 2}, sin{sup 2} 2{bar {theta}} = 0.86{sub -0.12}{sup _0.11}(stat.) {+-} 0.01(syst.). The tension between these results is intriguing, and additional antineutrino data is currently being taken in order to further investigate this apparent discrepancy.

Backhouse, Christopher James; /Oxford U.

2011-02-01T23:59:59.000Z

497

www.leeds.ac.uk/safety safety@leeds.ac.uk T:0113 34 34201 How can Health and Safety Services help you  

E-Print Network (OSTI)

www.leeds.ac.uk/safety safety@leeds.ac.uk T:0113 34 34201 How can Health and Safety Services help you: Health and Safety Services work in partnership with staff and the trade unions to help minimise with independent expertise and impartial advice. Each faculty/service group has an assigned Health and Safety

Haase, Markus

498

Table A52. Total Inputs of Energy for Heat, Power, and Electricity Generatio  

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

2. Total Inputs of Energy for Heat, Power, and Electricity Generation by Employment Size" 2. Total Inputs of Energy for Heat, Power, and Electricity Generation by Employment Size" " Categories and Presence of General Technologies and Cogeneration Technologies, 1994" " (Estimates in Trillion Btu)" ,,,,"Employment Size(a)" ,,,,,,,,"RSE" ,,,,,,,"1000 and","Row" "General/Cogeneration Technologies","Total","Under 50","50-99","100-249","250-499","500-999","Over","Factors" "RSE Column Factors:",0.5,2,2.1,1,0.7,0.7,0.9 "One or More General Technologies Present",14601,387,781,2054,2728,3189,5462,3.1 " Computer Control of Building Environment (b)",5079,64,116,510,802,1227,2361,5

499

DE-AC05-06OR23100  

NLE Websites -- All DOE Office Websites (Extended Search)

Section B - Page 1 of 10 Section B - Page 1 of 10 PART I - THE SCHEDULE SECTION B SUPPLIES OR SERVICES AND PRICES/COSTS B.1 ITEMS BEING ACQUIRED (ALTERNATE I) (OCT 2004) ................................... 3 B.2 ESTIMATED COST, BASE FEE, AND AWARD FEE (NOV 2004) ...................... 3 B.3 OPTION TO EXTEND THE CONTRACT (NOV 2004) .......................................... 6 B.4 OBLIGATION OF FUNDS (CPAF) (NOV 2004) ...................................................... 8 B.5 DETERMINATION OF AWARD FEE EARNED (NOV 2004) .............................. 9 DE-AC05-06OR23100 Section B - Page 2 of 10 Blank Page DE-AC05-06OR23100 Section B - Page 3 of 10 PART I - THE SCHEDULE SECTION B SUPPLIES OR SERVICES AND PRICES/COSTS B.1 ITEMS BEING ACQUIRED (ALTERNATE I) (OCT 2004)

500

SNL software manual for the ACS Data Analytics Project.  

SciTech Connect

In the ACS Data Analytics Project (also known as 'YumYum'), a supercomputer is modeled as a graph of components and dependencies, jobs and faults are simulated, and component fault rates are estimated using the graph structure and job pass/fail outcomes. This report documents the successful completion of all SNL deliverables and tasks, describes the software written by SNL for the project, and presents the data it generates. Readers should understand what the software tools are, how they fit together, and how to use them to reproduce the presented data and additional experiments as desired. The SNL YumYum tools provide the novel simulation and inference capabilities desired by ACS. SNL also developed and implemented a new algorithm, which provides faster estimates, at finer component granularity, on arbitrary directed acyclic graphs.

Stearley, Jon R.; McLendon, William Clarence, III; Rodrigues, Arun F.; Williams, Aaron S.; Hooper, Russell Warren; Robinson, David Gerald; Stickland, Michael G.

2011-10-01T23:59:59.000Z