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Note: This page contains sample records for the topic "vac maximum input" from the National Library of EnergyBeta (NLEBeta).
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1

i'^"<^F i* Not CE certified for the EW * Universal Input Range 90-264VAC  

E-Print Network (OSTI)

Cooling Natural Convection Switching Frequency 50~70KHz Typical MTBF MIL-HDBK-217F, GB, at25t/115VAC 200K~70KHz Typical MTBF MIL-HDBK-217F, GB, at25°C/115VAC 200K hrs min. Altitude 2000m Dimensions 4.331x1.969x

Kleinfeld, David

2

VAC*TRAX - Thermal desorption for mixed wastes  

SciTech Connect

The patented VAC*TRAX process was designed in response to the need to remove organic constituents from mixed waste, waste that contains both a hazardous (RCRA or TSCA regulated) component and a radioactive component. Separation of the mixed waste into its hazardous and radioactive components allows for ultimate disposal of the material at existing, permitted facilities. The VAC*TRAX technology consists of a jacketed vacuum dryer followed by a condensing train. Solids are placed in the dryer and indirectly heated to temperatures as high as 260{degrees}C, while a strong vacuum (down to 50 mm Hg absolute pressure) is applied to the system and the dryer is purged with a nitrogen carrier gas. The organic contaminants in the solids are thermally desorbed, swept up in the carrier gas and into the condensing train where they are cooled and recovered. The dryer is fitted with a filtration system that keeps the radioactive constituents from migrating to the condensate. As such, the waste is separated into hazardous liquid and radioactive solid components, allowing for disposal of these streams at a permitted incinerator or a radioactive materials landfill, respectively. The VAC*TRAX system is designed to be highly mobile, while minimizing the operational costs with a simple, robust process. These factors allow for treatment of small waste streams at a reasonable cost. This paper describes the VAC*TRAX thermal desorption process, as well as results from the pilot testing program. Also, the design and application of the full-scale treatment system is presented. Materials tested to date include spiked soil and debris, power plant trash and sludge contaminated with solvents, PCB contaminated soil, solvent-contaminated uranium mill-tailings, and solvent and PCB-contaminated sludge and trash. Over 70 test runs have been performed using the pilot VAC*TRAX system, with more than 80% of the tests using mixed waste as the feed material.

McElwee, M.J.; Palmer, C.R.

1995-12-01T23:59:59.000Z

3

TART input manual  

Science Conference Proceedings (OSTI)

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

4

Production EVSE Fact Sheet: DC Fast Charger: Hasetec  

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

38 x 69 x 21 Charge level DC Fast Charge Input voltage 480 VAC - 3 Phase Isolation Transformer 1 75 kVA Maximum input current 2 120 Amp Test Conditions Test date 10232012...

5

MAXIMUM HUMIDITY INDICATOR  

SciTech Connect

Moisture-sensitive systems to measure and indicate the maximum level of humidity exposure are discussed. A chemical indicator utilizing deliquescent salts and water-soluble dyes provides an irreversible color change at discrete levels of relative humidity. To provide indication of the time at which the exposure occurs, a circuit employing a resistive-type sensor was developed. A small, commercially available sensor is used in a portable probe to detect humidity leaks into controlled areas.

Abel, W B

1974-10-01T23:59:59.000Z

6

A Dynamical Interpretation of the Tritium Maximum in the Central Equatorial Pacific  

Science Conference Proceedings (OSTI)

The tropical tritium distribution between 1974 and 1981 is characterized by a maximum along the equator centered between 125° and 145°W. It signifies that this region has received the maximum input of high northern latitude water. A dynamical ...

Michael J. McPhaden; Rana A. Fine

1988-10-01T23:59:59.000Z

7

Maximum Error Modeling for Fault-Tolerant Computation using Maximum a posteriori (MAP) Hypothesis  

E-Print Network (OSTI)

The application of current generation computing machines in safety-centric applications like implantable biomedical chips and automobile safety has immensely increased the need for reviewing the worst-case error behavior of computing devices for fault-tolerant computation. In this work, we propose an exact probabilistic error model that can compute the maximum error over all possible input space in a circuit specific manner and can handle various types of structural dependencies in the circuit. We also provide the worst-case input vector, which has the highest probability to generate an erroneous output, for any given logic circuit. We also present a study of circuit-specific error bounds for fault-tolerant computation in heterogeneous circuits using the maximum error computed for each circuit. We model the error estimation problem as a maximum a posteriori (MAP) estimate, over the joint error probability function of the entire circuit, calculated efficiently through an intelligent search of the entire input space using probabilistic traversal of a binary join tree using Shenoy-Shafer algorithm. We demonstrate this model using MCNC and ISCAS benchmark circuits and validate it using an equivalent HSpice model. Both results yield the same worst-case input vectors and the highest % difference of our error model over HSpice is just 1.23%. We observe that the maximum error probabilities are significantly larger than the average error probabilities, and provides a much tighter error bounds for fault-tolerant computation. We also find that the error estimates depend on the specific circuit structure and the maximum error probabilities are sensitive to the individual gate failure probabilities.

Karthikeyan Lingasubramanian; Syed M. Alam; Sanjukta Bhanja

2009-06-17T23:59:59.000Z

8

Grand Junction projects office mixed-waste treatment program, VAC*TRAX mobile treatment unit process hazards analysis  

SciTech Connect

The objective of this report is to demonstrate that a thorough assessment of the risks associated with the operation of the Rust Geotech patented VAC*TRAX mobile treatment unit (MTU) has been performed and documented. The MTU was developed to treat mixed wastes at the US Department of Energy (DOE) Albuquerque Operations Office sites. The MTU uses an indirectly heated, batch vacuum dryer to thermally desorb organic compounds from mixed wastes. This process hazards analysis evaluated 102 potential hazards. The three significant hazards identified involved the inclusion of oxygen in a process that also included an ignition source and fuel. Changes to the design of the MTU were made concurrent with the hazard identification and analysis; all hazards with initial risk rankings of 1 or 2 were reduced to acceptable risk rankings of 3 or 4. The overall risk to any population group from operation of the MTU was determined to be very low; the MTU is classified as a Radiological Facility with low hazards.

Bloom, R.R.

1996-04-01T23:59:59.000Z

9

Technical evaluation report on the 120 Vac vital instrument buses and inverter Technical Specifications Issue B71  

SciTech Connect

The operation of a Pressurized Water Reactor (PWR) with one of its 120 Vac vital buses energized in an off-normal mode was analyzed. A Probabilistic Risk Assessment was made to determine the increment of risk by energizing a vital bus from an off-site source directly vs energizing it from its normal, uninterruptible source (i.e., a battery/inverter arrangement). The calculations were made based on uninterruptible source energized vital buses as the normal mode. The analysis indicated that a reduction in the incremental risk increase (caused by plant operation with a vital bus being energized in an off-normal mode) can be accomplished by limiting the time permitted in that condition. Currently, the time that a vital bus can be energized in the off-normal mode is not universally time-limited by plant Technical Specifications. Several alternatives for the reduction in incremental risk were examined and their value/impacts were derived. These data indicate that a recommendation be made for a Technical Specification time limitation of 72 hours per year for off-normal energizing a vital bus during operation of a PWR.

St. Leger-Barter, G.; White, R.L.

1982-10-28T23:59:59.000Z

10

MaximumLetThrough.PDF  

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

9 9 Maximum Let-Through Currents in the APS Storage Ring Quadrupole, Sextupole, and Corrector Magnets J. Carwardine, D. McGhee, G. Markovich May 18, 1999 Abstract Limits are described for the maximum magnet currents, under specified fault conditions, for the storage ring quadrupole, sextupole, and corrector magnets. Introduction In computing the maximum let-through current for the magnets for the storage ring, several factors must be considered. In general, the maximum current likely to occur even under fault conditions is less than the maximum theoretical DC current given the magnet resistance and the maximum available DC voltage. The first level of protection against magnet current overloads is the over-current interlock that is built into the converter electronics package. The threshold is set to approximately 110% of

11

Removal to Maximum Extent Practical  

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

Summary Notes from 1 November 2007 Generic Technical Issue Discussion on Removal of Highly Radioactive Radionuclides/Key Radionuclides to the Maximum Extent Practical

12

Code Completion From Abbreviated Input  

E-Print Network (OSTI)

Abbreviation Completion is a novel technique to improve the efficiency of code-writing by supporting code completion of multiple keywords based on non-predefined abbreviated input - a different approach from conventional ...

Miller, Robert C.

13

The Maximum Intensity of Hurricanes  

Science Conference Proceedings (OSTI)

An exact equation governing the maximum possible pressure fall in steady tropical cyclones is developed, accounting for the full effects of gaseous and condensed water on density and thermodynamics. The equation is also derived from Carnot's ...

Kerry A. Emanuel

1988-04-01T23:59:59.000Z

14

Hardness of Maximum Constraint Satisfaction.  

E-Print Network (OSTI)

??We show optimal (up to a constant factor) NP-hardness for maximum constraint satisfaction problem with k variables per constraint (Max-k-CSP), whenever k is larger than… (more)

Chan, Siu On

2013-01-01T23:59:59.000Z

15

Refinery and Blender Net Inputs  

Annual Energy Outlook 2012 (EIA)

Refinery and Blender Net Inputs Crude OIl ... 14.54 15.14 15.26 15.08 14.51 15.30 15.70 14.93 14.47 15.30 15.54 14.97 15.01...

16

Extreme Maximum Land Surface Temperatures  

Science Conference Proceedings (OSTI)

There are numerous reports in the literature of observations of land surface temperatures. Some of these, almost all made in situ, reveal maximum values in the 50°–70°C range, with a few, made in desert regions, near 80°C. Consideration of a ...

J. R. Garratt

1992-09-01T23:59:59.000Z

17

Maximum order of planar digraphs  

Science Conference Proceedings (OSTI)

We consider the degree/diameter problem for directed planar graphs. We show that planar digraphs with diameter 2 and maximum out-degree and in-degree d, d ? 41, cannot have more than 2d vertices. We show that 2d ...

Rinovia Simanjuntak; Mirka Miller

2003-09-01T23:59:59.000Z

18

Incorporating uncertainty in RADTRAN 6.0 input files.  

SciTech Connect

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

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

2010-02-01T23:59:59.000Z

19

Table 8. Capacity and Fresh Feed Input to Selected Downstream ...  

U.S. Energy Information Administration (EIA)

Capacity Inputs CapacityInputs Capacity Inputs Table 8. ... (EIA) Form EIA-820, "Annual Refinery Report." Inputs are from the form EIA-810, "Monthly Refinery Report."

20

Maximum Building Energy Efficiency Research Laboratory secures...  

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

Design Network - Maximum Building Energy Efficiency Research Laboratory secures LEED Gold July 01, 2013 The recently completed 14.3m Maximum Building Energy Efficiency...

Note: This page contains sample records for the topic "vac maximum input" 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

DOE-2 Input File From WINDOW  

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

an EnergyPlus input file from WINDOW 5 Last update: 12232008 01:54 PM Creating an EnergyPlus Input File for One Window In the WINDOW Window Library, which defines a complete...

22

DOE-2 Input File From WINDOW  

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

a DOE2 input file from WINDOW 5 Last update: 02012008 01:19 PM Creating a DOE-2 Input File for One Window In the WINDOW Window Library, which defines a complete window including...

23

Maximum entropy principal for transportation  

SciTech Connect

In this work we deal with modeling of the transportation phenomenon for use in the transportation planning process and policy-impact studies. The model developed is based on the dependence concept, i.e., the notion that the probability of a trip starting at origin i is dependent on the probability of a trip ending at destination j given that the factors (such as travel time, cost, etc.) which affect travel between origin i and destination j assume some specific values. The derivation of the solution of the model employs the maximum entropy principle combining a priori multinomial distribution with a trip utility concept. This model is utilized to forecast trip distributions under a variety of policy changes and scenarios. The dependence coefficients are obtained from a regression equation where the functional form is derived based on conditional probability and perception of factors from experimental psychology. The dependence coefficients encode all the information that was previously encoded in the form of constraints. In addition, the dependence coefficients encode information that cannot be expressed in the form of constraints for practical reasons, namely, computational tractability. The equivalence between the standard formulation (i.e., objective function with constraints) and the dependence formulation (i.e., without constraints) is demonstrated. The parameters of the dependence-based trip-distribution model are estimated, and the model is also validated using commercial air travel data in the U.S. In addition, policy impact analyses (such as allowance of supersonic flights inside the U.S. and user surcharge at noise-impacted airports) on air travel are performed.

Bilich, F. [University of Brasilia (Brazil); Da Silva, R. [National Research Council (Brazil)

2008-11-06T23:59:59.000Z

24

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

25

Maximum power tracking control scheme for wind generator systems  

E-Print Network (OSTI)

The purpose of this work is to develop a maximum power tracking control strategy for variable speed wind turbine systems. Modern wind turbine control systems are slow, and they depend on the design parameters of the turbine and use wind and/or rotor speed measurements as control variable inputs. The dependence on the accuracy of the measurement devices makes the controller less reliable. The proposed control scheme is based on the stiff system concept and provides a fast response and a dynamic solution to the complicated aerodynamic system. This control scheme provides a response to the wind changes without the knowledge of wind speed and turbine parameters. The system consists of a permanent magnet synchronous machine (PMSM), a passive rectifier, a dc/dc boost converter, a current controlled voltage source inverter, and a microcontroller that commands the dc/dc converter to control the generator for maximum power extraction. The microcontroller will also be able to control the current output of the three-phase inverter. In this work, the aerodynamic characteristics of wind turbines and the power conversion system topology are explained. The maximum power tracking control algorithm with a variable step estimator is introduced and the modeling and simulation of the wind turbine generator system using the MATLAB/SIMULINK® software is presented and its results show, at least in principle, that the maximum power tracking algorithm developed is suitable for wind turbine generation systems.

Mena Lopez, Hugo Eduardo

2007-12-01T23:59:59.000Z

26

Input apparatus for dynamic signature verification systems  

DOE Patents (OSTI)

The disclosure relates to signature verification input apparatus comprising a writing instrument and platen containing piezoelectric transducers which generate signals in response to writing pressures.

EerNisse, Errol P. (Albuquerque, NM); Land, Cecil E. (Albuquerque, NM); Snelling, Jay B. (Albuquerque, NM)

1978-01-01T23:59:59.000Z

27

Deriving input syntactic structure from execution  

Science Conference Proceedings (OSTI)

Program input syntactic structure is essential for a wide range of applications such as test case generation, software debugging and network security. However, such important information is often not available (e.g., most malware programs make use of ... Keywords: bottom-up grammar, control dependence, input lineage, reverse engineering, syntax tree, top-down grammar

Zhiqiang Lin; Xiangyu Zhang

2008-11-01T23:59:59.000Z

28

U.S. Weekly Inputs & Utilization  

U.S. Energy Information Administration (EIA)

Crude Oil Inputs: 16,237: 16,031: 15,965: 15,893: 15,611: 15,845: 1982-2013: Gross Inputs: 16,539: 16,448: 16,257: 16,200: 15,927: 16,209: 1990-2013: Operable ...

29

Designating required vs. optional input fields  

Science Conference Proceedings (OSTI)

This paper describes a study comparing different techniques for visually distingishing required from optional input fields in a form-filling application. Seven techniques were studied: no indication, bold field labels, chevrons in front of the labels, ... Keywords: data input, optional fields, required fields, visual design

Thomas S. Tullis; Ana Pons

1997-03-01T23:59:59.000Z

30

SWAT 2012 Input/Output Documentation  

E-Print Network (OSTI)

The Soil and Water Assessment Tool (SWAT) is a comprehensive model that requires a diversity of information in order to run. Novice users may feel overwhelmed by the variety and number of inputs when they first begin to use the model. This document provides a full description of model inputs. The inputs are organized by topic and emphasis is given to differentiating required inputs from optional inputs. The first chapter focuses on assisting the user in identifying inputs that must be defined for their particular dataset. The remaining chapters list variables by file and discuss methods used to measure or calculate values for the input parameters. SWAT is a public domain model jointly developed by USDA Agricultural Research Service (USDA-ARS) and Texas A&M AgriLife Research, part of The Texas A&M University System. SWAT is a small watershed to river basin-scale model to simulate the quality and quantity of surface and ground water and predict the environmental impact of land use, land management practices, and climate change. SWAT is widely used in assessing soil erosion prevention and control, non-point source pollution control and regional management in watersheds. Download the SWAT model, or read more information at the SWAT website.

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

2013-03-04T23:59:59.000Z

31

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

32

Wind Energy Input to the Ekman Layer  

Science Conference Proceedings (OSTI)

Wind stress energy input through the surface ageostrophic currents is studied. The surface ageostrophic velocity is calculated using the classical formula of the Ekman spiral, with the Ekman depth determined from an empirical formula. The total ...

Wei Wang; Rui Xin Huang

2004-05-01T23:59:59.000Z

33

Maximum Urban Heat Island Intensity in Seoul  

Science Conference Proceedings (OSTI)

The maximum urban heat island (UHI) intensity in Seoul, Korea, is investigated using data measured at two meteorological observatories (an urban site and a rural site) during the period of 1973–96. The average maximum UHI is weakest in summer and ...

Yeon-Hee Kim; Jong-Jin Baik

2002-06-01T23:59:59.000Z

34

Reduction in maximum time uncertainty of paired time signals  

DOE Patents (OSTI)

Reduction in the maximum time uncertainty (t/sub max/ - t/sub min/) of a series of paired time signals t/sub 1/ and t/sub 2/ varying between two input terminals and representative of a series of single events where t/sub 1/ less than or equal to t/sub 2/ and t/sub 1/ + t/sub 2/ equals a constant, is carried out with a circuit utilizing a combination of OR and AND gates as signal selecting means and one or more time delays to increase the minimum value (t/sub min/) of the first signal t/sub 1/ closer to t/sub max/ and thereby reduce the difference. The circuit may utilize a plurality of stages to reduce the uncertainty by factors of 20 to 800.

Theodosiou, G.E.; Dawson, J.W.

1981-02-11T23:59:59.000Z

35

The Maximum Potential Intensity of Tropical Cyclones  

Science Conference Proceedings (OSTI)

A thermodynamic approach to estimating maximum potential intensity (MPI) of tropical cyclones is described and compared with observations and previous studies. The approach requires an atmospheric temperature sounding, SST, and surface pressure; ...

Greg J. Holland

1997-11-01T23:59:59.000Z

36

Maximum Likelihood Ensemble Filter: Theoretical Aspects  

Science Conference Proceedings (OSTI)

A new ensemble-based data assimilation method, named the maximum likelihood ensemble filter (MLEF), is presented. The analysis solution maximizes the likelihood of the posterior probability distribution, obtained by minimization of a cost ...

Milija Zupanski

2005-06-01T23:59:59.000Z

37

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

38

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.

39

PUBLIC INFORMATION AND INPUT ON WIPP  

E-Print Network (OSTI)

PUBLIC INFORMATION AND INPUT ON WIPP Get The Information You Need 1. Check the EPA Website, Fact Sheets and Issue Papers. EPA will make sure that key information is available on its WIPP Website. EPA the EPA WIPP Information Line at 1-800-331-WIPP (1-800-331-9477) to obtain information on upcoming events

40

Efficient concurrency-bug detection across inputs  

Science Conference Proceedings (OSTI)

In the multi-core era, it is critical to efficiently test multi-threaded software and expose concurrency bugs before software release. Previous work has made significant progress in detecting and validating concurrency bugs under a given input. Unfortunately, ... Keywords: bug detection, concurrency bugs, multi-threaded software, software testing

Dongdong Deng, Wei Zhang, Shan Lu

2013-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "vac maximum input" 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

Gravity Transform for Input Conditioning in  

E-Print Network (OSTI)

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

Paiva, António R. C.

42

Wind Energy Input to the Surface Waves  

Science Conference Proceedings (OSTI)

Wind energy input into the ocean is primarily produced through surface waves. The total rate of this energy source, integrated over the World Ocean, is estimated at 60 TW, based on empirical formulas and results from a numerical model of surface ...

Wei Wang; Rui Xin Huang

2004-05-01T23:59:59.000Z

43

Hydrogen Generation Rate Model Calculation Input Data  

DOE Green Energy (OSTI)

This report documents the procedures and techniques utilized in the collection and analysis of analyte input data values in support of the flammable gas hazard safety analyses. This document represents the analyses of data current at the time of its writing and does not account for data available since then.

KUFAHL, M.A.

2000-04-27T23:59:59.000Z

44

Repeat on input for data flow computers  

DOE Patents (OSTI)

A processing node for a data flow parallel processing computer is activated by an input token from the system. The token or the stored information in the node includes information to cause the node to repeat a specified sequence of operations upon initiation by the token, thereby increasing the efficiency system for some computing operations.

Grafe, V.G.; Hoch, J.E.

1989-12-27T23:59:59.000Z

45

Multiple Input Microcantilever Sensor with Capacitive Readout  

DOE Green Energy (OSTI)

A surface-micromachined MEMS process has been used to demonstrate multiple-input chemical sensing using selectively coated cantilever arrays. Combined hydrogen and mercury-vapor detection was achieved with a palm-sized, self-powered module with spread-spectrum telemetry reporting.

Britton, C.L., Jr.; Brown, G.M.; Bryan, W.L.; Clonts, L.G.; DePriest, J.C.; Emergy, M.S.; Ericson, M.N.; Hu, Z.; Jones, R.L.; Moore, M.R.; Oden, P.I.; Rochelle, J.M.; Smith, S.F.; Threatt, T.D.; Thundat, T.; Turner, G.W.; Warmack, R.J.; Wintenberg, A.L.

1999-03-11T23:59:59.000Z

46

On the Input Problem for Massive Modularity  

Science Conference Proceedings (OSTI)

Jerry Fodor argues that the massive modularity thesis -- the claim that (human) cognition is wholly served by domain specific, autonomous computational devices, i.e., modules -- is a priori ... Keywords: Fodor, Sperber, input problem, language faculty, massive modularity, theory of mind

J. Collins

2005-02-01T23:59:59.000Z

47

Evaluating capacitive touch input on clothes  

Science Conference Proceedings (OSTI)

Wearable computing and smart clothing have attracted a lot of attention in the last years. For a variety of applications, it can be seen as potential future direction of mobile user interfaces. In this paper, we concentrate on usability and applicability ... Keywords: capacitive touch, design guidelines, input on textiles, wearable controls

Paul Holleis; Albrecht Schmidt; Susanna Paasovaara; Arto Puikkonen; Jonna Häkkilä

2008-09-01T23:59:59.000Z

48

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

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

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...

49

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...

50

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...

51

DOE Seeks Input On Addressing Contractor Pension and Medical...  

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

Seeks Input On Addressing Contractor Pension and Medical Benefits Liabilities DOE Seeks Input On Addressing Contractor Pension and Medical Benefits Liabilities March 27, 2007 -...

52

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

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

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...

53

Documentation of Calculation Methodology, Input Data, and Infrastructu...  

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

Documentation of Calculation Methodology, Input Data, and Infrastructure for the Home Energy Saver Web Site Title Documentation of Calculation Methodology, Input Data, and...

54

Applying synchrotron phase measurement to the estimation of maximum beam intensity in the Fermilab Booster  

SciTech Connect

It is important to have experimental methods to estimate the maximum beam intensity for the Fermilab Booster as objective input into long term program commitments. An important existing limit is set by the available rf power. This limit is difficult to set a priori, because the real longitudinal impedance is not well known. The synchrotron phase at transition crossing was measured using both the mountain range plot and the direct phase measurement of the RF accelerating voltage relative to the beam, and results were consistent. They were applied to predict 6 x 10{sup 12} maximum Booster beam intensity with present running conditions.

Xi Yang; James MacLachlan

2004-03-16T23:59:59.000Z

55

Maximum Entropy Production in Climate Theory  

Science Conference Proceedings (OSTI)

R. D. Lorenz et al. claim that recent data on Mars and Titan show that planetary atmospheres are in unconstrained states of maximum entropy production (MEP). Their model as it applies to Venus, Earth, Mars, and Titan is reexamined, and it is ...

Richard Goody

2007-07-01T23:59:59.000Z

56

Modeling Maximum Hail Size in Alberta Thunderstorms  

Science Conference Proceedings (OSTI)

A one-dimensional steady-state cloud model was combined with a time-dependent hail growth model to predict the maximum hailstone size on the ground. Model runs were based on 160 proximity soundings recorded within the Alberta Hail Project area ...

Julian C. Brimelow; Gerhard W. Reuter; Eugene R. Poolman

2002-10-01T23:59:59.000Z

57

Integrating Correlated Bayesian Networks Using Maximum Entropy  

Science Conference Proceedings (OSTI)

We consider the problem of generating a joint distribution for a pair of Bayesian networks that preserves the multivariate marginal distribution of each network and satisfies prescribed correlation between pairs of nodes taken from both networks. We derive the maximum entropy distribution for any pair of multivariate random vectors and prescribed correlations and demonstrate numerical results for an example integration of Bayesian networks.

Jarman, Kenneth D.; Whitney, Paul D.

2011-08-30T23:59:59.000Z

58

Multimodal interfaces with voice and gesture input  

SciTech Connect

The modalities of speech and gesture have different strengths and weaknesses, but combined they create synergy where each modality corrects the weaknesses of the other. We believe that a multimodal system such a one interwining speech and gesture must start from a different foundation than ones which are based solely on pen input. In order to provide a basis for the design of a speech and gesture system, we have examined the research in other disciplines such as anthropology and linguistics. The result of this investigation was a taxonomy that gave us material for the incorporation of gestures whose meanings are largely transparent to the users. This study describes the taxonomy and gives examples of applications to pen input systems.

Milota, A.D.; Blattner, M.M.

1995-07-20T23:59:59.000Z

59

Increased Software Reliability Through Input Validation Analysis and Testing  

Science Conference Proceedings (OSTI)

The Input Validation Testing (IVT) technique has been developed to address the problem of statically analyzing input command syntax as defined in English textual interface and requirements specifications and then generating test cases for input validation ... Keywords: Software reliability, requirements analysis, system testing, quality control and assurance, interfaces, input validation

Jane Huffman Hayes; A. Jefferson Offutt

1999-11-01T23:59:59.000Z

60

East Coast (PADD 1) Gross Inputs to Atmospheric Crude Oil ...  

U.S. Energy Information Administration (EIA)

East Coast (PADD 1) Gross Inputs to Atmospheric Crude Oil Distillation Units (Thousand Barrels per Day)

Note: This page contains sample records for the topic "vac maximum input" 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

Rocky Mountains (PADD 4) Gross Inputs to Refineries (Thousand ...  

U.S. Energy Information Administration (EIA)

Gross Input to Atmospheric Crude Oil Distillation Units ; PAD District 4 Refinery Utilization and Capacity ...

62

Refining District New Mexico Gross Inputs to Atmospheric Crude Oil ...  

U.S. Energy Information Administration (EIA)

Refining District New Mexico Gross Inputs to Atmospheric Crude Oil Distillation Units (Thousand Barrels per Day)

63

Mildly Context Sensitive Grammars For Estimating Maximum  

E-Print Network (OSTI)

Introduction The maximum-entropy framework provides great flexibility in specifying what features a model may take into account, making it e#ective for a wide range of natural language processing tasks. But because parameter estimation in this framework involves computations over the whole space of possible labelings, it is unwieldy for the parsing problem, where this space is very large. Researchers have tried several strategies for e#ciently training parsing models in the maximum-entropy framework. Ratnaparkhi's parser (1997) models the probabilities of actions of a pushdown automaton instead of the probabilities of entire parses, but for this reason is susceptible to the label-bias problem (La#erty et al. 2001). Abney (1997) proposes random sampling of the parse space. Johnson et al. (1999) propose using conditional estimation instead of joint estimation. This reduces the space to the possible parses of a single sentence, which is much smaller but can still be unmanageably large f

David Chiang

2003-01-01T23:59:59.000Z

64

Discontinuities in the Maximum-Entropy Inference  

E-Print Network (OSTI)

We revisit the maximum-entropy inference of the state of a finite-level quantum system under linear constraints. The constraints are specified by the expected values of a set of fixed observables. We point out the existence of discontinuities in this inference method. This is a pure quantum phenomenon since the maximum-entropy inference is continuous for mutually commuting observables. The question arises why some sets of observables are distinguished by a discontinuity in an inference method which is still discussed as a universal inference method. In this paper we make an example of a discontinuity and we explain a characterization of the discontinuities in terms of the openness of the (restricted) linear map that assigns expected values to states.

Stephan Weis

2013-08-28T23:59:59.000Z

65

Ground motion input in seismic evaluation studies  

Science Conference Proceedings (OSTI)

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

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

1996-07-01T23:59:59.000Z

66

Maximum Spectral Luminous Efficacy of White Light  

E-Print Network (OSTI)

As lighting efficiency improves, it is useful to understand the theoretical limits to luminous efficacy for light that we perceive as white. Independent of the efficiency with which photons are generated, there exists a spectrally-imposed limit to the luminous efficacy of any source of photons. We find that, depending on the acceptable bandpass and---to a lesser extent---the color temperature of the light, the ideal white light source achieves a spectral luminous efficacy of 250--370 lm/W. This is consistent with previous calculations, but here we explore the maximum luminous efficacy as a function of photopic sensitivity threshold, color temperature, and color rendering index; deriving peak performance as a function of all three parameters. We also present example experimental spectra from a variety of light sources, quantifying the intrinsic efficacy of their spectral distributions.

Murphy, T W

2013-01-01T23:59:59.000Z

67

On the Wind Power Input to the Ocean General Circulation  

Science Conference Proceedings (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 varying wind. Power ...

Xiaoming Zhai; Helen L. Johnson; David P. Marshall; Carl Wunsch

2012-08-01T23:59:59.000Z

68

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

69

Wisconsin Natural Gas Input Supplemental Fuels (Million Cubic...  

Annual Energy Outlook 2012 (EIA)

Input Supplemental Fuels (Million Cubic Feet) Wisconsin 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...

70

Vermont Natural Gas Input Supplemental Fuels (Million Cubic Feet...  

Gasoline and Diesel Fuel Update (EIA)

Input Supplemental Fuels (Million Cubic Feet) Vermont 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...

71

Estimation of time-dependent input from neuronal membrane potential  

Science Conference Proceedings (OSTI)

The set of firing rates of the presynaptic excitatory and inhibitory neurons constitutes the input signal to the postsynaptic neuron. Estimation of the time-varying input rates from intracellularly recorded membrane potential is investigated here. For ...

Ryota Kobayashi; Shigeru Shinomoto; Petr Lansky

2011-12-01T23:59:59.000Z

72

New Mexico Natural Gas Input Supplemental Fuels (Million Cubic...  

Gasoline and Diesel Fuel Update (EIA)

Input Supplemental Fuels (Million Cubic Feet) New Mexico 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...

73

Texas Natural Gas Input Supplemental Fuels (Million Cubic Feet...  

Gasoline and Diesel Fuel Update (EIA)

Input Supplemental Fuels (Million Cubic Feet) Texas 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...

74

A survey of design issues in spatial input  

Science Conference Proceedings (OSTI)

We present a survey of design issues for developing effective free-space three-dimensional (3D) user interfaces. Our survey is based upon previous work in 3D interaction, our experience in developing free-space interfaces, and our informal observations ... Keywords: 3D interaction, ergonomics of virtual manipulation, haptic input, spatial input, two-handed input, virtual reality

Ken Hinckley; Randy Pausch; John C. Goble; Neal F. Kassell

1994-11-01T23:59:59.000Z

75

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

76

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

77

Press Release: DOE Seeks Public Input for Depleted Uranium Hexafluorid...  

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

Perry, (865) 576-0885 September 24, 2001 www.oakridge.doe.gov DOE SEEKS PUBLIC INPUT FOR DEPLETED URANIUM HEXAFLUORIDE ENVIRONMENTAL IMPACT STATEMENT Public Meetings Planned in...

78

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

E-Print Network (OSTI)

solar space heating system with heat input and building loadBUILDING UNDER HEAT INPUT CONDITIONS FOR ACTIVE SOLAR HEATINGBUILDING UNDER HEAT INPUT CONDITIONS FOR ACTIVE SOLAR HEATING

Warren, Mashuri L.

2013-01-01T23:59:59.000Z

79

Semi-valid input coverage for fuzz testing  

Science Conference Proceedings (OSTI)

We define semi-valid input coverage (SVCov), the first coverage criterion for fuzz testing. Our criterion is applicable whenever the valid inputs can be defined by a finite set of constraints. SVCov measures to what extent the tests cover the domain ... Keywords: coverage criteria, fuzz testing, security testing

Petar Tsankov, Mohammad Torabi Dashti, David Basin

2013-07-01T23:59:59.000Z

80

Finding input sub-spaces for polymorphic fuzzy signatures  

Science Conference Proceedings (OSTI)

A significant feature of fuzzy signatures is its applicability for complex and sparse data. To create Polymorphic Fuzzy Signatures (PFS) for sparse data, sparse input sub-spaces (ISSs) should be considered. Finding the optimal ISSs manually is not a ... Keywords: WRAO, fuzzy C-means, fuzzy signatures, input subspace clustering, polymorphic fuzzy signatures, trapezoidal approximation

A. H. Hadad; T. D. Gedeon; B. S. U. Mendis

2009-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "vac maximum input" 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

Ancient runes: using text input for interaction in mobile games  

Science Conference Proceedings (OSTI)

Mobile phones are often carried in the pocket making them available for gaming any time. Mobile games typically rely on the joystick for input, but quality of the joystick is very different in the different devices. This paper presents Ancient Runes, ... Keywords: mobile multiplayer gaming, playability, text input

Elina M. I. Koivisto; Riku Suomela; Ari Koivisto

2006-07-01T23:59:59.000Z

82

Manual deskterity: an exploration of simultaneous pen + touch direct input  

Science Conference Proceedings (OSTI)

Manual Deskterity is a prototype digital drafting table that supports both pen and touch input. We explore a division of labor between pen and touch that flows from natural human skill and differentiation of roles of the hands. We also explore the simultaneous ... Keywords: bimanual input, gestures, pen, tabletop, tablets, touch

Ken Hinckley; Koji Yatani; Michel Pahud; Nicole Coddington; Jenny Rodenhouse; Andy Wilson; Hrvoje Benko; Bill Buxton

2010-04-01T23:59:59.000Z

83

Kernel principal component analysis for stochastic input model generation  

Science Conference Proceedings (OSTI)

Stochastic analysis of random heterogeneous media provides useful information only if realistic input models of the material property variations are used. These input models are often constructed from a set of experimental samples of the underlying random ... Keywords: Data-driven models, Flow in random porous media, Kernel principal component analysis, Non-linear model reduction, Stochastic partial differential equations

Xiang Ma; Nicholas Zabaras

2011-08-01T23:59:59.000Z

84

Skeletal input for user interaction in X3D  

Science Conference Proceedings (OSTI)

Recent developments in depth sensor technology enable developers to use skeletal input in interactive 3D environments with high user fluctuation like museum exhibits. However, the question of how to use natural user input and body movement to control ... Keywords: Kinect, X3D, natural interaction

Manuel Olbrich; Tobias Franke; Jens Keil; Sven Hertling

2013-06-01T23:59:59.000Z

85

BeThere: 3D mobile collaboration with spatial input  

Science Conference Proceedings (OSTI)

We present BeThere, a proof-of-concept system designed to explore 3D input for mobile collaborative interactions. With BeThere, we explore 3D gestures and spatial input which allow remote users to perform a variety of virtual interactions ... Keywords: around device interaction, augmented reality, collaboration, depth sensors

Rajinder S. Sodhi; Brett R. Jones; David Forsyth; Brian P. Bailey; Giuliano Maciocci

2013-04-01T23:59:59.000Z

86

Twinkle box: a three-dimensional computer input device  

Science Conference Proceedings (OSTI)

During the past fifteen years, use of two-dimensional computer input/output devices has become commonplace. Since the earliest uses of the light pen for target identification in air defense systems it has been obvious that two-dimensional input would ...

Robert P. Burton; Ivan E. Sutherland

1974-05-01T23:59:59.000Z

87

Vehicle Technologies Office: Fact #410: February 6, 2006 Maximum Speed  

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

0: February 6, 0: February 6, 2006 Maximum Speed Limits by State, 2005 to someone by E-mail Share Vehicle Technologies Office: Fact #410: February 6, 2006 Maximum Speed Limits by State, 2005 on Facebook Tweet about Vehicle Technologies Office: Fact #410: February 6, 2006 Maximum Speed Limits by State, 2005 on Twitter Bookmark Vehicle Technologies Office: Fact #410: February 6, 2006 Maximum Speed Limits by State, 2005 on Google Bookmark Vehicle Technologies Office: Fact #410: February 6, 2006 Maximum Speed Limits by State, 2005 on Delicious Rank Vehicle Technologies Office: Fact #410: February 6, 2006 Maximum Speed Limits by State, 2005 on Digg Find More places to share Vehicle Technologies Office: Fact #410: February 6, 2006 Maximum Speed Limits by State, 2005 on AddThis.com...

88

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

89

Input--output capital coefficients for energy technologies. [Input-output model  

DOE Green Energy (OSTI)

Input-output capital coefficients are presented for five electric and seven non-electric energy technologies. They describe the durable goods and structures purchases (at a 110 sector level of detail) that are necessary to expand productive capacity in each of twelve energy source sectors. Coefficients are defined in terms of 1967 dollar purchases per 10/sup 6/ Btu of output from new capacity, and original data sources include Battelle Memorial Institute, the Harvard Economic Research Project, The Mitre Corp., and Bechtel Corp. The twelve energy sectors are coal, crude oil and gas, shale oil, methane from coal, solvent refined coal, refined oil products, pipeline gas, coal combined-cycle electric, fossil electric, LWR electric, HTGR electric, and hydroelectric.

Tessmer, R.G. Jr.

1976-12-01T23:59:59.000Z

90

MattssonMoVacPrague2009.ppt  

National Nuclear Security Administration (NNSA)

Thomas R Mattsson Thomas R Mattsson Sandia National Laboratories Albuquerque, NM, USA Nils Sandberg -- KTH, Stockholm Richard Armiento -- Univ. Bayreuth, Germany Ann Mattsson -- Sandia National Laboratories Self-diffusion in Mo using the AM05 density functional Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000. Joint U.S. Russia Conference on Advances in Materials Science Prague, Czech Republic Aug 31-Sept 3, 2009 SAND 2009-2197 C, 2009-3883 C, 2009-4713 C, and 2002-1323 P Vacancy mediated diffusion is the main mechanism for mass transport in solids *Vacancies are important for *Self-diffusion *Defect migration *Radiation damage/ swelling

91

Fast Local Search for the Maximum Independent Set Problem  

E-Print Network (OSTI)

Jan 29, 2008 ... Fast Local Search for the Maximum Independent Set Problem. Diogo V. Andrade (diogo ***at*** google.com) Mauricio G. C. Resende (mgcr ...

92

THE MAXIMUM k-COLORABLE SUBGRAPH PROBLEM AND ...  

E-Print Network (OSTI)

The main goal of this paper is to investigate the polyhedral con- .... The resulting graph with a maximum (black,white,crossed)-colorable ...... Due to the ad-.

93

Estimate of Maximum Underground Working Gas Storage Capacity in ...  

U.S. Energy Information Administration (EIA)

Estimate of Maximum Underground Working Gas Storage Capacity in the United States: 2007 Update This report provides an update to an estimate for U.S. aggregate ...

94

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

95

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:

96

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

97

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

98

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

99

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

100

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

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

,,"(202) 586-8800",,,"7242013 11:46:42 PM" "Back to Contents","Data 1: U.S. Refinery Crude Oil Input Qualities" "Sourcekey","MCRS1US2","MCRAPUS2" "Date","U.S. Sulfur...

Note: This page contains sample records for the topic "vac maximum input" 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

Speech recognition as a computer graphics input technique (Panel Session)  

Science Conference Proceedings (OSTI)

Richard Rabin Interactive graphics systems typically require intense “hands busy/eyes busy and brains busy” activity on the part of the system user/operator. Voice input by means of automatic speech recognition equipment, offers major potential ...

Alan R. Strass; Mark Robillard; Sue Schedler; Matthew Peterson / Richard Rabin

1982-07-01T23:59:59.000Z

102

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

103

Constructing Verifiable Random Functions with Large Input Spaces Susan Hohenberger  

E-Print Network (OSTI)

idea is to apply a simulation technique where the large space of VRF inputs is collapsed into a small, the verification should remain secure even if the public commitment were setup in a malicious manner. The VRF

104

On the Energy Input from Wind to Surface Waves  

Science Conference Proceedings (OSTI)

A basic model relating the energy dissipation in the ocean mixed layer to the energy input into the surface wave field is combined with recent measurements of turbulent kinetic energy dissipation to determine the average phase speed of the waves ...

J. R. Gemmrich; T. D. Mudge; V. D. Polonichko

1994-11-01T23:59:59.000Z

105

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 Services Home...

106

Eclat : automatic generation and classification of test inputs  

E-Print Network (OSTI)

This thesis describes a technique that selects, from a large set of test inputs, a small subset likely to reveal faults in the software under test. The technique takes a program or software component, plus a set of correct ...

Pacheco, Carlos, S.M. Massachusetts Institute of Technology

2005-01-01T23:59:59.000Z

107

IMPACT OF HIGH-INPUT PRODUCTION PRACTICES ON SOYBEAN YIELD.  

E-Print Network (OSTI)

??High-input management practices are often heavily marketed to producers to increase soybean [Glycine max (L) Merr.] yield in already high-yielding environments. Field research was conducted… (more)

Jordan, Daniel L.

2010-01-01T23:59:59.000Z

108

Indiana, Illinois, Kentucky Refinery District Gross Inputs to ...  

U.S. Energy Information Administration (EIA)

Indiana, Illinois, Kentucky Refinery District Gross Inputs to Refineries (Thousand Barrels per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec; 1985: 1,739 ...

109

Maximum a posteriori based kernel classifier trained by linear programming  

Science Conference Proceedings (OSTI)

We propose a new approach for classification problem based on the maximum a posteriori (MAP) estimation. The necessary and sufficient condition for the cost function to estimate a posteriori probability was obtained. It was clarified by the condition ... Keywords: cost function, kernel function, linear programming, maximum a posteriori

Nopriadi Nopriadi; Yukihiko Yamashita

2010-08-01T23:59:59.000Z

110

Estimating Maximum Surface Winds from Hurricane Reconnaissance Measurements  

Science Conference Proceedings (OSTI)

Radial profiles of surface winds measured by the Stepped Frequency Microwave Radiometer (SFMR) are compared to radial profiles of flight-level winds to determine the slant ratio of the maximum surface wind speed to the maximum flight-level wind ...

Mark D. Powell; Eric W. Uhlhorn; Jeffrey D. Kepert

2009-06-01T23:59:59.000Z

111

Maximum likelihood estimation of Gaussian mixture models using stochastic search  

Science Conference Proceedings (OSTI)

Gaussian mixture models (GMM), commonly used in pattern recognition and machine learning, provide a flexible probabilistic model for the data. The conventional expectation-maximization (EM) algorithm for the maximum likelihood estimation of the parameters ... Keywords: Covariance parametrization, Expectation-maximization, Gaussian mixture models, Identifiability, Maximum likelihood estimation, Particle swarm optimization, Stochastic search

Ça?lar Ar?; Selim Aksoy; Orhan Ar?kan

2012-07-01T23:59:59.000Z

112

CONSTRAINED MINIMUM ENTROPY AND MAXIMUM NEGENTROPY BLIND DECONVOLUTION AND EQUALIZATION  

E-Print Network (OSTI)

CONSTRAINED MINIMUM ENTROPY AND MAXIMUM NEGENTROPY BLIND DECONVOLUTION AND EQUALIZATION Seungjin on the variance of decon­ volved signal. We also consider the maximum negen­ tropy principle and show that the CME version, without any prior knowledge (such as channel impulse response, training data). As the demand

Choi, Seungjin

113

Maximum oxidative phosphorylation capacity of the mammalian heart  

E-Print Network (OSTI)

Maximum oxidative phosphorylation capacity of the mammalian heart VAMSI K. MOOTHA, ANDREW E. ARAI, AND ROBERT S. BALABAN Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National. Maximum oxidative phosphorylation capacity of the mammalian heart. Am. J. Physiol. 272 (Heart Circ

Mootha, Vamsi K.

114

Trends of Maximum and Minimum Temperatures in Northern South America  

Science Conference Proceedings (OSTI)

This paper presents the results of testing the homogeneity of the basic data used in this study, that is, the mean monthly maximum and minimum temperature (as derived from daily observations) of several long-term climatological stations of ...

Ramon A. Quintana-Gomez

1999-07-01T23:59:59.000Z

115

A maximum likelihood approach towards aggregating partial orders  

Science Conference Proceedings (OSTI)

In many of the possible applications as well as the theoretical models of computational social choice, the agents' preferences are represented as partial orders. In this paper, we extend the maximum likelihood approach for defining "optimal" voting rules ...

Lirong Xia; Vincent Conitzer

2011-07-01T23:59:59.000Z

116

Synoptic Reorganization of Atmospheric Flow during the Last Glacial Maximum  

Science Conference Proceedings (OSTI)

A coupled global atmosphere–ocean model of intermediate complexity is used to study the influence of glacial boundary conditions on the atmospheric circulation during the Last Glacial Maximum in a systematical manner. A web of atmospheric ...

Flávio Justino; Axel Timmermann; Ute Merkel; Enio P. Souza

2005-08-01T23:59:59.000Z

117

On Determinations of Maximum Hailstone Sizes from Hallpad Observations  

Science Conference Proceedings (OSTI)

Reports of hailstones larger than those indicated by hailpad observations being found on the ground around the hailpad sites raise questions about the validity of maximum-size determinations. Data from the Grossversuch IV hailpad network ...

Paul L. Smith; Albert Waldvogel

1989-01-01T23:59:59.000Z

118

Characteristics of Maximum Concentrations from Multiple Point Sources  

Science Conference Proceedings (OSTI)

A simple quasi-Newton numerical scheme is applied to determine the hypothetical worst-case meteorology that will result in the maximum combined concentrations at any receptor location in air quality modeling over short distances for multiple ...

N. M. Zoumakis

1998-07-01T23:59:59.000Z

119

Effects of Tides on Maximum Tsunami Wave Heights: Probability Distributions  

Science Conference Proceedings (OSTI)

A theoretical study was carried out to understand how the probability distribution for maximum wave heights (?m) during tsunamis depends on the initial tsunami amplitude (A) and the tides. It was assumed that the total wave height is the linear ...

Harold O. Mofjeld; Frank I. González; Vasily V. Titov; Angie J. Venturato; Jean C. Newman

2007-01-01T23:59:59.000Z

120

Normalized Maximum-Likelihood Estimators of the Directional Wave Spectrum  

Science Conference Proceedings (OSTI)

A new family of data-adaptative directional wave spectrum estimators is proposed. These estimators may be considered as an improvement over the well-known extended maximum-likelihood method (EMLM). The normalization is based on the idea of ...

M. A. Arribas; J. J. Egozcue

1995-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "vac maximum input" 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

Maximum likelihood sequence estimation from the lattice viewpoint  

Science Conference Proceedings (OSTI)

Considers the problem of data detection in multilevel lattice-type modulation systems in the presence of intersymbol interference and additive white Gaussian noise. The conventional maximum likelihood sequence estimator using the Viterbi algorithm has ...

Wai Ho Mow

1994-09-01T23:59:59.000Z

122

Humidity Profile Retrieval Using a Maximum Entropy Principle  

Science Conference Proceedings (OSTI)

A satellite data inversion method based on a maximum entropy principle is presented. The method is both physical since a radiative transfer model with its adjoint is needed, and also statistical since errors of the observed radiances and of a ...

Bernard Urban

1995-04-01T23:59:59.000Z

123

Maximum Likelihood Estimation Using Parallel Computing: An Introduction to MPI  

Science Conference Proceedings (OSTI)

The computational difficulty of econometric problems has increased dramatically in recent years as econometricians examine more complicated models and utilize more sophisticated estimation techniques. Many problems in econometrics are `embarrassingly ... Keywords: MPI, maximum likelihood estimation, parallel computing, parallel programming

Christopher A. Swann

2002-04-01T23:59:59.000Z

124

Maximum containment : the most controversial labs in the world  

E-Print Network (OSTI)

In 2002, following the September 11th attacks and the anthrax letters, the United States allocated money to build two maximum containment biology labs. Called Biosafety Level 4 (BSL-4) facilities, these labs were built to ...

Bruzek, Alison K. (Allison Kim)

2013-01-01T23:59:59.000Z

125

Computing maximum non-crossing matching in convex bipartite graphs  

Science Conference Proceedings (OSTI)

We consider computing a maximum non-crossing matching in convex bipartite graphs. For a convex bipartite graph of n vertices and m edges, we present an O (n logn ...

Danny Z. Chen; Xiaomin Liu; Haitao Wang

2012-05-01T23:59:59.000Z

126

Maximum Photovoltaic Penetration Levels on Typical Distribution Feeders: Preprint  

DOE Green Energy (OSTI)

This paper presents simulation results for a taxonomy of typical distribution feeders with various levels of photovoltaic (PV) penetration. For each of the 16 feeders simulated, the maximum PV penetration that did not result in steady-state voltage or current violation is presented for several PV location scenarios: clustered near the feeder source, clustered near the midpoint of the feeder, clustered near the end of the feeder, randomly located, and evenly distributed. In addition, the maximum level of PV is presented for single, large PV systems at each location. Maximum PV penetration was determined by requiring that feeder voltages stay within ANSI Range A and that feeder currents stay within the ranges determined by overcurrent protection devices. Simulations were run in GridLAB-D using hourly time steps over a year with randomized load profiles based on utility data and typical meteorological year weather data. For 86% of the cases simulated, maximum PV penetration was at least 30% of peak load.

Hoke, A.; Butler, R.; Hambrick, J.; Kroposki, B.

2012-07-01T23:59:59.000Z

127

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 &

128

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

129

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 &

130

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 &

131

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

132

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

133

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 &

134

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)

135

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 &

136

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

137

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 &

138

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

139

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 &

140

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 &

Note: This page contains sample records for the topic "vac maximum input" 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

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.

142

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 &

143

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

144

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

145

Optical device with conical input and output prism faces  

DOE Patents (OSTI)

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

Brunsden, Barry S. (Chicago, IL)

1981-01-01T23:59:59.000Z

146

Cascode buffer for monolithic voltage conversion operating at high input supply voltages  

E-Print Network (OSTI)

A high-to-low switching DC-DC converter that operates at input supply voltages up to two times as high as the maximum voltage permitted in a nanometer CMOS technology is proposed in this paper. The circuit technique is based on a cascode bridge that maintains the steady-state voltage differences among the terminals of all of the transistors within a range imposed by a specific fabrication technology. The proposed circuit technique permits the full integration of active and passive devices of a switching DC-DC converter with a high voltage conversion ratio in a standard low voltage CMOS process. An efficiency of 87.8 % is achieved for 3.6 volts to 0.9 volts conversion assuming

Volkan Kursun; Gerhard Schrom; Vivek K. De; Eby G. Friedman; Siva G. Narendra

2005-01-01T23:59:59.000Z

147

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

148

Environmental issues of material input in CDTE-module manufacturing  

DOE Green Energy (OSTI)

The goal of a low-cost and high-volume photovoltaic (PV) module fabrication demands an optimized process sequence to guarantee product quality and module stability on a long-term basis. Nevertheless, large-scale module manufacturing uses several input and auxiliary materials and generates waste from processing output materials. The mining and refining of the PV manufacturing material consumes input and auxiliary material and also creates waste. Therefore, investigations into these materials were conducted with respect to their risk potential for environment and health.

Steinberger, H.; Hochwimmer, R.; Schmid, H. [Fraunhofer Inst. fuer Festkoerpertechnologie, Muenchen (Germany); Thumm, W.; Kettrup, A. [GSF, Oberschleissheim (Germany). Inst. fuer Oekologische Chemie; Moskowitz, P. [Brookhaven National Lab., Upton, NY (United States). Biomedical and Environmental Assessment Group

1995-12-31T23:59:59.000Z

149

Electricity Regulation in California and Input Market Distortions  

E-Print Network (OSTI)

We provide an analysis of the soft price cap regulation that occurred in California’s electricity market between December 2000 and June 2001. We demonstrate the incentive it created to distort the prices of electricity inputs. After introducing a theoretical model of the incentive, we present empirical data from two important input markets: pollution emissions permits and natural gas. We find substantial evidence that generators manipulated these costs in a way that allowed them to justify bids in excess of the price cap and earn higher rents than they could otherwise. Our analysis suggests that the potential benefits of soft price cap regulation were likely undone by such behavior. 1

Mark R. Jacobsen; Azeem M. Shaikh

2004-01-01T23:59:59.000Z

150

Estimating the Observed Atmospheric Response to SST Anomalies: Maximum Covariance Analysis, Generalized Equilibrium Feedback Assessment, and Maximum Response Estimation  

Science Conference Proceedings (OSTI)

Three multivariate statistical methods to estimate the influence of SST or boundary forcing on the atmosphere are discussed. Lagged maximum covariance analysis (MCA) maximizes the covariance between the atmosphere and prior SST, thus favoring ...

Claude Frankignoul; Nadine Chouaib; Zhengyu Liu

2011-05-01T23:59:59.000Z

151

A toolbox for calculating net anthropogenic nitrogen inputs (NANI)  

Science Conference Proceedings (OSTI)

The ''Net Anthropogenic Nitrogen Input'' (NANI) to a region represents an estimate of anthropogenic net nitrogen (N) fluxes across its boundaries, and is thus a measure of the effect of human activity on the regional nitrogen cycle. NANI accounts for ... Keywords: Anthropogenic, Nitrogen, Synthesis, Toolbox, Watershed

Bongghi Hong; Dennis P. Swaney; Robert W. Howarth

2011-05-01T23:59:59.000Z

152

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

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

Multiple Occurrences of Collapse and Location of Soft Zone Region * Event trees for the maximum building demands indicate: - Mean demand computed from the 2-D and 3-D branches of...

153

Optimizing Input Data for Gridding Climate Normals for Canada  

Science Conference Proceedings (OSTI)

Spatial models of 1971–2000 monthly climate normals for daily maximum and minimum temperature and total precipitation are required for many applications. The World Meteorological Organization’s recommended standard for the calculation of a normal ...

Ron F. Hopkinson; Michael F. Hutchinson; Daniel W. McKenney; Ewa J. Milewska; Pia Papadopol

2012-08-01T23:59:59.000Z

154

Property:Maximum Wave Height(m) | Open Energy Information  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:Maximum Wave Height(m) Jump to: navigation, search Property Name Maximum Wave Height(m) Property Type String Pages using the property "Maximum Wave Height(m)" Showing 25 pages using this property. (previous 25) (next 25) 1 1.5-ft Wave Flume Facility + 0.2 + 10-ft Wave Flume Facility + 0.5 + 11-ft Wave Flume Facility + 0.4 + 2 2-ft Flume Facility + 0.6 + 3 3-ft Wave Flume Facility + 0.2 + 5 5-ft Wave Flume Facility + 0.5 + 6 6-ft Wave Flume Facility + 0.4 + A Alden Large Flume + 0.0 + Alden Small Flume + 0.2 + Alden Wave Basin + 0.3 + B Breakwater Research Facility + 0.0 + C Carderock Maneuvering & Seakeeping Basin + 0.6 + Carderock Tow Tank 2 + 0.6 + Carderock Tow Tank 3 + 0.6 +

155

Generalized Relativistic Wave Equations with Intrinsic Maximum Momentum  

E-Print Network (OSTI)

We examine the nonperturbative effect of maximum momentum on the relativistic wave equations. In momentum representation, we obtain the exact eigen-energies and wavefunctions of one-dimensional Klein-Gordon and Dirac equation with linear confining potentials, and the Dirac oscillator. Bound state solutions are only possible when the strength of scalar potential are stronger than vector potential. The energy spectrum of the systems studied are bounded from above, whereby classical characteristics are observed in the uncertainties of position and momentum operators. Also, there is a truncation in the maximum number of bound states that is allowed. Some of these quantum-gravitational features may have future applications.

Chee Leong Ching; Wei Khim Ng

2013-11-15T23:59:59.000Z

156

An effective heuristic algorithm for the maximum satisfiability problem  

Science Conference Proceedings (OSTI)

Stochastic local search algorithms (SLS) have been increasingly applied to approximate solutions of the weighted maximum satisfiability problem (MAXSAT), a model for solutions of major problems in AI and combinatorial optimization. While MAXSAT instances ... Keywords: Bose-Einstein distribution, Extremal Optimization, Heuristic search, MAXSAT, Problem solving

Mohamed El Menaï; Mohamed Batouche

2006-06-01T23:59:59.000Z

157

An electromagnetism metaheuristic for solving the Maximum Betweenness Problem  

Science Conference Proceedings (OSTI)

In this paper we present an electromagnetism (EM) metaheuristic for solving NP hard Maximum Betweenness Problem (MBP). A new encoding scheme with appropriate objective functions is implemented. Specific representation of the individuals enables the EM ... Keywords: Betweenness problem, Combinatorial optimization, Electromagnetism-like mechanism

Vladimir Filipovi?; Aleksandar Kartelj; Dragan Mati?

2013-02-01T23:59:59.000Z

158

Mixed Integer Linear Programming for Maximum-Parsimony Phylogeny Inference  

Science Conference Proceedings (OSTI)

Reconstruction of phylogenetic trees is a fundamental problem in computational biology. While excellent heuristic methods are available for many variants of this problem, new advances in phylogeny inference will be required if we are to be able to continue ... Keywords: Computational Biology, Algorithms, Integer Linear Programming, Steiner tree problem, Phylogenetic tree reconstruction, Maximum parsimony

Srinath Sridhar; Fumei Lam; Guy E. Blelloch; R. Ravi; Russell Schwartz

2008-07-01T23:59:59.000Z

159

Global Increasing Trends in Annual Maximum Daily Precipitation  

Science Conference Proceedings (OSTI)

This study investigates the presence of trends in annual maximum daily precipitation time series obtained from a global dataset of 8326 high-quality land-based observing stations with more than 30 years of record over the period from 1900 to 2009. ...

Seth Westra; Lisa V. Alexander; Francis W. Zwiers

2013-06-01T23:59:59.000Z

160

Probable Maximum Precipitation Study for Wisconsin and Michigan: Volume 1  

Science Conference Proceedings (OSTI)

The study provides maps and supporting information on the probable maximum precipitation (PMP) for Wisconsin and Michigan. The refinement of PMP for the study area has typically lowered the PMP from the generalized values in Hydrometeorological Report (HMR) 51. The study followed HMR 51 procedures with some minor changes that apply to other regions.

1993-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "vac maximum input" 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

Feature Extraction Based on Maximum Nearest Subspace Margin Criterion  

Science Conference Proceedings (OSTI)

Based on the classification rule of sparse representation-based classification (SRC) and linear regression classification (LRC), we propose the maximum nearest subspace margin criterion for feature extraction. The proposed method can be seen as a preprocessing ... Keywords: Dimensionality reduction, Face recognition, Feature extraction, Finger knuckle print recognition, Linear regression classification

Yi Chen; Zhenzhen Li; Zhong Jin

2013-06-01T23:59:59.000Z

162

Maximum Fuel Energy Saving of a Brayton Cogeneration Cycle  

Science Conference Proceedings (OSTI)

An endoreversible Joule-Brayton cogeneration cycle has been optimized with fuel energy saving as an assessment criterion. The effects of power-to-heat ratio, cycle temperature ratio, and user temperature ratio on maximum fuel energy saving and efficiency ... Keywords: cogeneration cycle, fuel energy saving, thermodynamic optimization

Xiaoli Hao; Guoqiang Zhang

2009-10-01T23:59:59.000Z

163

Maximum Potential Intensities of Tropical Cyclones near Isla Socorro, Mexico  

Science Conference Proceedings (OSTI)

The maximum potential intensity (MPI) of a tropical cyclone represents a theoretical upper limit to the strength of the storm imposed by the laws of physics and the energy available to the system in the atmosphere and the ocean. The MPI in this ...

Jay S. Hobgood

2003-12-01T23:59:59.000Z

164

The Summer Cyclone Maximum over the Central Arctic Ocean  

Science Conference Proceedings (OSTI)

A fascinating feature of the northern high-latitude circulation is a prominent summer maximum in cyclone activity over the Arctic Ocean, centered near the North Pole in the long-term mean. This pattern is associated with the influx of lows ...

Mark C. Serreze; Andrew P. Barrett

2008-03-01T23:59:59.000Z

165

Last Glacial Maximum and Holocene Climate in CCSM3  

Science Conference Proceedings (OSTI)

The climate sensitivity of the Community Climate System Model version 3 (CCSM3) is studied for two past climate forcings, the Last Glacial Maximum (LGM) and the mid-Holocene. The LGM, approximately 21 000 yr ago, is a glacial period with large ...

Bette L. Otto-Bliesner; Esther C. Brady; Gabriel Clauzet; Robert Tomas; Samuel Levis; Zav Kothavala

2006-06-01T23:59:59.000Z

166

Renewable Energy Scheduling for Fading Channels with Maximum Power Constraint  

E-Print Network (OSTI)

Renewable Energy Scheduling for Fading Channels with Maximum Power Constraint Zhe Wang Electrical The employment of the renewable energy source has grown from long-established concepts into devices for powering--In this paper, we develop efficient algorithm to obtain the optimal energy schedule for fading channel

Greenberg, Albert

167

MCMR: Maximum coverage and minimum redundant text summarization model  

Science Conference Proceedings (OSTI)

In paper, we propose an unsupervised text summarization model which generates a summary by extracting salient sentences in given document(s). In particular, we model text summarization as an integer linear programming problem. One of the advantages of ... Keywords: Branch-and-bound, Integer linear programming, Less redundancy, Maximum coverage, Particle swarm optimization, Text summarization

Rasim M. Alguliev; Ramiz M. Aliguliyev; Makrufa S. Hajirahimova; Chingiz A. Mehdiyev

2011-11-01T23:59:59.000Z

168

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

169

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

170

Agricultural and Environmental Input Parameters for the Biosphere Model  

SciTech Connect

This analysis is one of 10 technical reports that support the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN) (i.e., the biosphere model). It documents development of agricultural and environmental input parameters for the biosphere model, 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 the repository at Yucca Mountain. The ERMYN provides the TSPA with the capability to perform dose assessments. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships between the major activities and their products (the analysis and model reports) that were planned in ''Technical Work Plan for Biosphere Modeling and Expert Support'' (BSC 2004 [DIRS 169573]). The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes the ERMYN and its input parameters.

K. Rasmuson; K. Rautenstrauch

2004-09-14T23:59:59.000Z

171

EVSE Features  

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

lights lights EVSE Specifications Grid connection Plug and cord NEMA 14-30 Connector type J1772 Test lab certifications ETL listed Approximate size (H x W x D inches) 10 x 15 x 5 Charge level AC Level 2 Input voltage 208 VAC to 240 VAC Maximum input current 30 Amp Circuit breaker rating 40 Amp Test Conditions 1 Test date 10/24/2011 Nominal supply voltage (Vrms) 240.37 Supply frequency (Hz) 60.00 Initial ambient temperature (°F) 58 Test Vehicle 1,3 Make and model 2011 Chevrolet Volt Battery type Li-ion Steady state charge power (AC kW) 3.33 Maximum charge power (AC kW) 3.37 EVSE Test Results 1,2,4 EVSE consumption prior to charge (AC W) 3.2 EVSE consumption during

172

EVSE Features  

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

UL, cUL, CE, CTick listed UL, cUL, CE, CTick listed Approximate size (H x W x D inches) 12 x 12 x 8 Charge level AC Level 2 Input voltage 208VAC to 240 VAC Maximum input current 30 Amp Circuit breaker rating 40 Amp Test Conditions 1 Test date 1/31/2012 Nominal supply voltage (Vrms) 235.68 Supply frequency (Hz) 60.00 Initial ambient temperature (°F) 58 Test Vehicle 1,3 Make and model 2011 Chevrolet Volt Battery type Li-ion Steady state charge power (AC kW) 3.34 Maximum charge power (AC kW) 3.39 EVSE Test Results 1,2,4 EVSE consumption prior to charge (AC W) 5.11 EVSE consumption during steady state charge (AC W) 22.77

173

EVSE Features  

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

lights lights UART interface EVSE Specifications Grid connection Plug and cord NEMA 6-30 Connector type J1772 Test lab certifications ETL listed Approximate size (H x W x D inches) 5 x 14 x 4 Charge level AC Level 2 Input voltage 95VAC to 264 VAC Maximum input current 24 Amp Circuit breaker rating 40 Amp Test Conditions 1 Test date 10/25/2011 Nominal supply voltage (Vrms) 239.93 Supply frequency (Hz) 60.00 Initial ambient temperature (°F) 52 Test Vehicle 1,3 Make and model 2011 Chevrolet Volt Battery type Li-ion Steady state charge power (AC kW) 3.33 Maximum charge power (AC kW) 3.38 EVSE Test Results 1,2,4 EVSE consumption prior to charge (AC W) 1.8 EVSE consumption during

174

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.

175

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

176

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

177

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

178

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 &

179

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

180

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

Note: This page contains sample records for the topic "vac maximum input" 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

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 &

182

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 &

183

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 &

184

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

185

PERSPECTIVES ON A DOE CONSEQUENCE INPUTS FOR ACCIDENT ANALYSIS APPLICATIONS  

Science Conference Proceedings (OSTI)

Department of Energy (DOE) accident analysis for establishing the required control sets for nuclear facility safety applies a series of simplifying, reasonably conservative assumptions regarding inputs and methodologies for quantifying dose consequences. Most of the analytical practices are conservative, have a technical basis, and are based on regulatory precedent. However, others are judgmental and based on older understanding of phenomenology. The latter type of practices can be found in modeling hypothetical releases into the atmosphere and the subsequent exposure. Often the judgments applied are not based on current technical understanding but on work that has been superseded. The objective of this paper is to review the technical basis for the major inputs and assumptions in the quantification of consequence estimates supporting DOE accident analysis, and to identify those that could be reassessed in light of current understanding of atmospheric dispersion and radiological exposure. Inputs and assumptions of interest include: Meteorological data basis; Breathing rate; and Inhalation dose conversion factor. A simple dose calculation is provided to show the relative difference achieved by improving the technical bases.

(NOEMAIL), K; Jonathan Lowrie, J; David Thoman (NOEMAIL), D; Austin Keller (NOEMAIL), A

2008-07-30T23:59:59.000Z

186

Current mode instrumentation amplifier with rail-to-rail input and output  

Science Conference Proceedings (OSTI)

A Current Mode Instrumentation Amplifier with rail-to-rail input and output is presented. It is based on constant gm input stages, and cascode output stages. Although this CMIA structure has a good Input Common Mode Voltage, it suffers from a poor output ... Keywords: analog integrated circuits, current mode instrumentation amplifier, rail-to-rail input and output

Filipe Costa Beber Vieira; Cesar Augusto Prior; Cesar Ramos Rodrigues; Leonardo Perin; Joao Baptista dos Santos Martins

2007-09-01T23:59:59.000Z

187

Property:Maximum Velocity(m/s) | Open Energy Information  

Open Energy Info (EERE)

Velocity(m/s) Velocity(m/s) Jump to: navigation, search Property Name Maximum Velocity(m/s) Property Type String Pages using the property "Maximum Velocity(m/s)" Showing 25 pages using this property. (previous 25) (next 25) A Alden Large Flume + 0.9 + B Bucknell Hydraulic Flume + 2.7 + C Carderock Maneuvering & Seakeeping Basin + 7.2 + Carderock Rotating Arm Tow Tank + 25.8 + Carderock Tow Tank 1 + 9.3 + Carderock Tow Tank 2 + 10.3 + Carderock Tow Tank 3 + 25.8 + Chase Tow Tank + 2.5 + D Davidson Laboratory Tow Tank + 18.3 + H Haynes Tow Tank + 1.8 + I Ice Towing Tank + 0.5 + L Lakefront Tow Tank + 2.7 + M MHL Free Surface Channel + 2 + MHL High Speed Cavitation + 25.9 + MHL Tow Tank + 6.7 + MIT Tow Tank + 1.5 + MMA Tugboat/ Barge/ Vessel + 5.1 + Maine Tow Tank + 3 +

188

Minimum/maximum excitation limiter performance goals for small generation  

SciTech Connect

Small generators connected to the utility system often act as followers as they tend to follow system bus voltage variations. For the lack of kVA capacity, small machines tend to be susceptible to becoming over or under excited (excessive Vars in or Vars out of the generator) as the voltage regulator tries to maintain its setpoint with variations in system bus voltage. Minimum and maximum excitation limiters are utilized to limit the voltage regulator characteristic response to system bus voltage changes, that can otherwise result in machine overheating and/or pulling out of synchronization. This paper reviews the operating performance of minimum and maximum excitation limiters used on small machines, and provides the user typical performance expectations. The examples will highlight both main field and exciter field applications. Lastly, conditions will be reviewed that may occur during excitation limiter initial startup that can affect their ability to be initially tuned.

Eberly, T.W.; Schaefer, R.C.

1995-12-01T23:59:59.000Z

189

LITERATURE REVIEW ON MAXIMUM LOADING OF RADIONUCLIDES ON CRYSTALLINE SILICOTITANATE  

SciTech Connect

Plans are underway to use small column ion exchange (SCIX) units installed in high-level waste tanks to remove Cs-137 from highly alkaline salt solutions at Savannah River Site. The ion exchange material slated for the SCIX project is engineered or granular crystalline silicotitanate (CST). Information on the maximum loading of radionuclides on CST is needed by Savannah River Remediation for safety evaluations. A literature review has been conducted that culminated in the estimation of the maximum loading of all but one of the radionuclides of interest (Cs-137, Sr-90, Ba-137m, Pu-238, Pu-239, Pu-240, Pu-241, Am-241, and Cm-244). No data was found for Cm-244.

Adu-Wusu, K.; Pennebaker, F.

2010-10-13T23:59:59.000Z

190

Chemical maximum humidity indicator update report. Topical report  

SciTech Connect

Raw materials and manufactured parts sometimes must be kept in a controlled-humidity environment. The use of moisture-sensitive systems to indicate the maximum level of humidity exposure is discussed. A chemical indicator made from deliquescent salts and water-soluble dyes provides an irreversible color change at discrete levels of relative humidity. The performance and long-term-stability characteristics of the indicator are described.

Abel, W.B.

1978-11-01T23:59:59.000Z

191

Unification of Maximum Entropy and Bayesian Inference via Plausible Reasoning  

E-Print Network (OSTI)

This paper modifies Jaynes's axioms of plausible reasoning and derives the minimum relative entropy principle as well as Bayes's rule from first principles. The new axioms, which I call the Optimum Information Principle, is applicable whenever the decision maker is given the data and the relevant background information. Given that the maximum entropy principle and Bayesian inference are useful methods, the Optimum Information Principle is at least as useful.

Toda, Alexis Akira

2011-01-01T23:59:59.000Z

192

Property:Maximum Wave Length(m) | Open Energy Information  

Open Energy Info (EERE)

Wave Length(m) Wave Length(m) Jump to: navigation, search Property Name Maximum Wave Length(m) Property Type String Pages using the property "Maximum Wave Length(m)" Showing 18 pages using this property. A Alden Small Flume + Variable + Alden Wave Basin + 1.8 + C Carderock Maneuvering & Seakeeping Basin + 12.2 + Carderock Tow Tank 2 + 12.2 + Carderock Tow Tank 3 + 12.2 + D Davidson Laboratory Tow Tank + 15.2 + DeFrees Large Wave Basin + 64 + DeFrees Small Wave Basin + 30 + H Haynes Wave Basin + 10.7 + L Lakefront Tow Tank + 22 + M MIT Tow Tank + 4.6 + O OTRC Wave Basin + 25 + Ohmsett Tow Tank + 18 + R Richmond Field Station Tow Tank + 2 + S SAFL Channel + 6.6 + Sandia Lake Facility + 4.57 + Sheets Wave Basin + 10 + Ship Towing Tank + 6 + Retrieved from "http://en.openei.org/w/index.php?title=Property:Maximum_Wave_Length(m)&oldid=597351

193

IEP - Water-Energy Interface: Total Maximum Daily Load Page  

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

Total Maximum Daily Loads (TMDLs) Total Maximum Daily Loads (TMDLs) The overall goal of the Clean Water Act is to "restore and maintain the chemical, physical, and biological integrity of the NationÂ’s waters." In 1999, EPA proposed changes to Section 303(d), to establish Total Maximum Daily Loads (TMDLs) for watersheds that do not meet this goal. The TMDL is the highest amount of a given pollutant that is permissible in that body of water over a given period of time. TMDLs include both waste load allocation (WLA) for point sources and load allocations for non-point sources. In Appalachia, acid mine drainage (AMD) is the single most damaging non-point source. There is also particular concern of the atmospheric deposition of airborne sulfur, nitrogen, and mercury compounds. States are currently in the process of developing comprehensive lists of impaired waters and establishing TMDLs for those waters. EPA has recently proposed a final rule that will require states to develop TMDLs and implement plans for improving water quality within the next 10 years. Under the new rule, TMDL credits could be traded within a watershed.

194

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

195

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

196

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

197

Design of the spoke cavity ED&D input coupler.  

DOE Green Energy (OSTI)

The current design of the Accelerator Driven Test Facility (ADTF) accelerator contains multiple {beta}, superconducting, resonant cavities. Spoke-type resonators ({beta} = 0.175 and {beta} = 0.34) are proposed for the low energy linac immediately following the radio frequency quadrupole. A continuous wave power requirement of 8.5 - 211.8 kW, 350 MHz has been established for the input couplers of these spoke cavities. The coupler design approach was to have a single input coupler design for beam currents of 13.3 mA and 100 mA and both cavity {beta}'s. The baseline design consists of a half-height WR2300 waveguide section merged with a shorted coaxial conductor. At the transition is a 4.8-mm thick cylindrical ceramic window creating the air/vacuum barrier. The coax is 103-mm inner diameter, 75 Ohm. The coax extends from the short through the waveguide and terminates with an antenna tip in the sidewall of the cavity. A full diameter pumping port is located in the quarter-wave stub to facilitate good vacuum. The coaxial geometry chosen was based on multipacting and thermal design considerations. The coupling coefficient is adjusted by statically adjusting the outer conductor length. The RF-physics, thermal, vacuum, and structural design considerations will be discussed in this paper, in addition to future room temperature testing plans.

Schmierer, E. N. (Eric N.); Chan, K. D. (Kwok-Chi D.); Gentzlinger, R.C. (Robert C.); Haynes, W. B. (William B.); Krawczyk, F. L. (Frank L.); Montoya, D. I. (Debbie I.); Roybal, P. L. (Phillip L.); Schrage, D. L. (Dale L.); Tajima, T. (Tsuyoshi)

2001-01-01T23:59:59.000Z

198

Models for estimating saturation flow and maximum demand at closely spaced intersections  

E-Print Network (OSTI)

This thesis describes models for saturation flow and maximum demand at closely spaced intersections. The effects of queue interaction between these two intersections are taken into account in both models. The saturation flow model is based on the Prosser-Dunne model. The presence of queues in the inter-signal link causes a reduction in saturation flow and capacity. The analytical model on which the methodology is based assumes that upstream movements discharge at their normal saturation flow rate or arrival flow rate until the downstream queue extends back to the upstream intersection and blocking occurs. The model calculates the capacities of movements at the upstream intersection as a reduced effective green period. The model can be used to estimate capacities at paired intersections with multiple upstream and downstream green periods. The results from the model are compared with TRAF-NETSIM simulation results. The results of this comparison show that the model predicts throughput better when movements at the upstream intersection (for which throughput are being calculated) are oversaturated. This thesis recommends that the capacity of movements be calculated using the reduced effective green period rather than the reduced saturation flow. The second model developed as a part of this research predicts the maximum demand at the downstream intersection. The through movement at the upstream intersection is assumed to be oversaturated and cross street movements are not considered. The analysis shows that either the upstream capacity, downstream capacity or storage capacity becomes critical and influences the maximum demand depending on the different combinations of upstream and downstream green and storage spacing considered. The demand from the models is used as input to the 1994 Highway Capacity Manual (HCM) delay equation and the delay compared with that simulated by TRAF-NETSIM for various cases. The comparison shows that the models developed predict values that compare favorably with results from TRAF NETSIM. It is recommended that the models be used to compute the upper bound for the HCM delay equation for the cases analyzed.

Nanduri, Sreelata

1995-01-01T23:59:59.000Z

199

An integrated maximum power point tracker for photovoltaic panels  

E-Print Network (OSTI)

Abstract- This paper proposes a maximum power point tracker (MPPT) for a photovoltaic panel, that is to be integrated with the panel during manufacturing. The MPPT is inexpensive, efficient and has few components that serve to increase the MPPT’s mean time between failures (MTBF). The MPPT uses an inexpensive micro-controller to perform all of its functions. This includes maximum power point tracking, series battery voltage regulation, sensorless short circuit protection of the MPPT’s converter and intelligent shutdown and wakeup at dusk and dawn. The MPPT can source 10 A to a 6 V- 36 V lead-acid storage battery and can be connected in parallel or series with other MPPTs. The MPPT may be easily configured to perform output voltage regulation on passive and water pumping loads. It could also control the actuation of a diesel generator in a hybrid remote area power supply (RAPS). Energy transfer enhancements of up to 26%, compared to solar panels without MPPTs, have been measured. The complete component and materials cost of the MPPT is approximately 2’8 % of the cost of photovoltaic panels with a peak power rating of 154 W. The integrated MPPT also consumes no stored energy at night. 1.

Wernher Swiegers

1998-01-01T23:59:59.000Z

200

Predicting the solar maximum with the rising rate  

E-Print Network (OSTI)

The growth rate of solar activity in the early phase of a solar cycle has been known to be well correlated with the subsequent amplitude (solar maximum). It provides very useful information for a new solar cycle as its variation reflects the temporal evolution of the dynamic process of solar magnetic activities from the initial phase to the peak phase of the cycle. The correlation coefficient between the solar maximum (Rmax) and the rising rate ({\\beta}a) at {\\Delta}m months after the solar minimum (Rmin) is studied and shown to increase as the cycle progresses with an inflection point (r = 0.83) at about {\\Delta}m = 20 months. The prediction error of Rmax based on {\\beta}a is found within estimation at the 90% level of confidence and the relative prediction error will be less than 20% when {\\Delta}m \\geq 20. From the above relationship, the current cycle (24) is preliminarily predicted to peak around October 2013 with a size of Rmax =84 \\pm 33 at the 90% level of confidence.

Du, Z L

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "vac maximum input" 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

Development of a Novel Bi-Directional Isolated Multiple-Input DC-DC Converter  

DOE Green Energy (OSTI)

There is vital need for a compact, lightweight, and efficient energy-storage system that is both affordable and has an acceptable cycle life for the large-scale production of electric vehicles (EVs) and hybrid electric vehicles (HEVs). Most of the current research employs a battery-storage unit (BU) combined with a fuel cell (FC) stack in order to achieve the operating voltage-current point of maximum efficiency for the FC system. A system block diagram is shown in Fig.1.1. In such a conventional arrangement, the battery is sized to deliver the difference between the energy required by the traction drive and the energy supplied by the FC system. Energy requirements can increase depending on the drive cycle over which the vehicle is expected to operate. Peak-power transients result in an increase of losses and elevated temperatures which result in a decrease in the lifetime of the battery. This research will propose a novel two-input direct current (dc) dc to dc converter to interface an additional energy-storage element, an ultracapacitor (UC), which is shown in Fig.1.2. It will assist the battery during transients to reduce the peak-power requirements of the battery.

Li, H.

2005-10-24T23:59:59.000Z

202

MULTIPLE INPUT BINARY ADDER EMPLOYING MAGNETIC DRUM DIGITAL COMPUTING APPARATUS  

DOE Patents (OSTI)

A digital computing apparatus is described for adding a plurality of multi-digit binary numbers. The apparatus comprises a rotating magnetic drum, a recording head, first and second reading heads disposed adjacent to the first and second recording tracks, and a series of timing signals recorded on the first track. A series of N groups of digit-representing signals is delivered to the recording head at time intervals corresponding to the timing signals, each group consisting of digits of the same significance in the numbers, and the signal series is recorded on the second track of the drum in synchronism with the timing signals on the first track. The multistage registers are stepped cyclically through all positions, and each of the multistage registers is coupled to the control lead of a separate gate circuit to open the corresponding gate at only one selected position in each cycle. One of the gates has its input coupled to the bistable element to receive the sum digit, and the output lead of this gate is coupled to the recording device. The inputs of the other gates receive the digits to be added from the second reading head, and the outputs of these gates are coupled to the adding register. A phase-setting pulse source is connected to each of the multistage registers individually to step the multistage registers to different initial positions in the cycle, and the phase-setting pulse source is actuated each N time interval to shift a sum digit to the bistable element, where the multistage register coupled to bistable element is operated by the phase- setting pulse source to that position in its cycle N steps before opening the first gate, so that this gate opens in synchronism with each of the shifts to pass the sum digits to the recording head.

Cooke-Yarborough, E.H.

1960-12-01T23:59:59.000Z

203

Qualms concerning Tsallis ’ Use of the Maximum Entropy Formalism  

E-Print Network (OSTI)

Tsallis ’ ‘statistical thermodynamic ’ formulation of the nonadditive entropy of degree-? is neither correct nor self-consistent. It is well known that the maximum entropy formalism [1], the minimum discrimination information [2], and Gauss ’ principle [3, 4] all lead to the same results when a certain condition on the prior probability distribution is imposed [5]. All these methods lead to the same form of the posterior probability distribution; namely, the exponential family of distributions. Tsallis and collaborators [6] have tried to adapt the maximum entropy formalism that uses the Shannon entropy to one that uses a nonadditive entropy of degree-?. In order to come out with analytic expressions for the probabilities that maximize the nonadditive entropy they found it necessary to use ‘escort probabilities’[7] of the same power as the nonadditive entropy. If the procedure they use is correct then it follows that Gauss ’ principle should give the same optimum probabilities. Yet, we will find that the Tsallis result requires that the prior probability distribution be given by the same unphysical condition as the maximum entropy formalism and, what is worse, the potential of the error law be required to vanish. The potential of the error law is what information theory refers to as the error [8]; that is, the difference between the inaccuracy and the entropy. Unless the ‘true ’ probability distribution, P = (p(x1), p(x2)...,p(xm)) coincides with the estimated probability distribution, Q = (q(x1), q(x2),...q(xm)), the error does not vanish. Moreover, we shall show that two procedures of averaging, one using the escort probabilities explicitly, do not give the same result, and the relation between the potential of the error law and the nonadditive entropy requires the latter to vanish when the former vanishes. Let X be a random variable whose values x1, x2,..., xm are obtained at m independent trials. Prior to the observations the distribution is Q, and after the observations the unknown probability distribution is P. The observer has 1 at his disposal the statistic â = 1

B. H. Lavenda; J. Dunning-davies

2003-01-01T23:59:59.000Z

204

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...

205

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...

206

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...

207

U.S. Natural Gas Input Supplemental Fuels (Million Cubic Feet...  

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

Input Supplemental Fuels (Million Cubic Feet) U.S. 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...

208

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

Science Conference Proceedings (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

209

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

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

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...

210

Section 5.4.2 Electronic Ballasts: Greening Federal Facilities...  

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

2006, and electronic ballasts for most replacement applica- tions after July 1, 2010. Ballast specifications include: * Input voltage (usually 277 or 120 VAC) * Number and type of...

211

A CMOS Voltage Comparator with Rail-to-Rail Input-Range  

Science Conference Proceedings (OSTI)

A simple new continuous-time CMOS comparator circuit with rail-to-rail input common-mode range and rail-to-rail output is presented. This design uses parallel complementary decision paths to accommodate power-supply-valued inputs. The 2 decision results ... Keywords: CMOS continuous-time voltage comparator, rail-to-rail input range

Wei-Shang Chu; K. Wayne Current

1999-05-01T23:59:59.000Z

212

Documentation of Calculation Methodology, Input data, and Infrastructure for the Home Energy Saver Web Site  

E-Print Network (OSTI)

energy consumption and maximum demand in each of three timeeach bin, and find the maximum demand for the house. Resultsby the utility maxDemand: the maximum demand allowed by the

2005-01-01T23:59:59.000Z

213

Proper input phase-space filling for accurate beam-dynamics codes  

Science Conference Proceedings (OSTI)

In the future, more attention will be required concerning the filling of the input phase space used by particle-simulation codes. The prospect of greatly improved particle-tracking codes implies that code input distributions must be accurate models of real input distributions. Much of present simulation work is done using artificial phase-space distributions (K-V, waterbag, etc.). Real beams can differ dramatically from such ideal input. We have already developed a method for deriving code input distributions from measurements. This paper addresses the problem of determining the number of pseudoparticles needed to model the measured distribution properly.

Boicourt, G.P.; Vasquez, M.C.

1986-01-01T23:59:59.000Z

214

Estimate of Maximum Underground Working Gas Storage Capacity in the United States  

Reports and Publications (EIA)

This report examines the aggregate maximum capacity for U.S. natural gas storage. Although the concept of maximum capacityseems quite straightforward, there are numerous issues that preclude the determination of a definitive maximum volume. Thereport presents three alternative estimates for maximum capacity, indicating appropriate caveats for each.

Information Center

2006-09-19T23:59:59.000Z

215

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

216

,"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"

217

Interface module for transverse energy input to dye laser modules  

SciTech Connect

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

218

Interface module for transverse energy input to dye laser modules  

DOE Patents (OSTI)

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

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

1994-10-11T23:59:59.000Z

219

KEPLER INPUT CATALOG: PHOTOMETRIC CALIBRATION AND STELLAR CLASSIFICATION  

Science Conference Proceedings (OSTI)

We describe the photometric calibration and stellar classification methods used by the Stellar Classification Project to produce the Kepler Input Catalog (KIC). The KIC is a catalog containing photometric and physical data for sources in the Kepler mission field of view; it is used by the mission to select optimal targets. Four of the visible-light (g, r, i, z) magnitudes used in the KIC are tied to Sloan Digital Sky Survey magnitudes; the fifth (D51) is an AB magnitude calibrated to be consistent with Castelli and Kurucz (CK) model atmosphere fluxes. We derived atmospheric extinction corrections from hourly observations of secondary standard fields within the Kepler field of view. For these filters and extinction estimates, repeatability of absolute photometry for stars brighter than magnitude 15 is typically 2%. We estimated stellar parameters {l_brace}T{sub eff}, log (g), log (Z), E{sub B-V}{r_brace} using Bayesian posterior probability maximization to match observed colors to CK stellar atmosphere models. We applied Bayesian priors describing the distribution of solar-neighborhood stars in the color-magnitude diagram, in log (Z), and in height above the galactic plane. Several comparisons with samples of stars classified by other means indicate that for 4500 K {data archive.

Brown, Timothy M. [Las Cumbres Observatory Global Telescope, Goleta, CA 93117 (United States); Latham, David W.; Esquerdo, Gilbert A. [Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138 (United States); Everett, Mark E., E-mail: tbrown@lcogt.net, E-mail: latham@cfa.harvard.edu, E-mail: gesquerd@cfa.harvard.edu, E-mail: everett@noao.edu [National Optical Astronomy Observatories, Tucson, AZ 85721 (United States)

2011-10-15T23:59:59.000Z

220

On the Value of Input-Efficiency, Capacity-Efficiency, and the Flexibility to Rebalance Them  

E-Print Network (OSTI)

Abstract: A common characteristic of basic material manufacturers (which account for 85 % of all industrial energy use) and of cleantech manufacturers is that they are price-takers in their input and output markets. Variability in those prices has implications for how much a manufacturer should invest in three fundamental types of process improvement. Input price variability reduces the value of improving input-efficiency (output produced per unit input) but increases that of capacityefficiency (the rate at which a production facility can convert input into output). Output price variability increases the value of capacity-efficiency, but it increases the value of input-efficiency if and only if the expected margin is small. Moreover, as the expected input cost rises, the value of input-efficiency decreases. A third type of process improvement is to develop flexibility in inputefficiency versus capacity-efficiency (the ability to respond to a rise in input cost or fall in output price by increasing input-efficiency at the expense of capacity-efficiency). The value of this flexibility decreases with variability in input and output prices, if and only if the expected margin is thin. Together, these results suggest that a carbon tax or cap-and-trade system may reduce investment by basic material manufacturers in improving energy-efficiency.

Erica L. Plambeck; Terry A. Taylor

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "vac maximum input" 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

LANDFILL OPERATION FOR CARBON SEQUESTRATION AND MAXIMUM METHANE EMISSION CONTROL  

Science Conference Proceedings (OSTI)

The work described in this report, to demonstrate and advance this technology, has used two demonstration-scale cells of size (8000 metric tons [tonnes]), sufficient to replicate many heat and compaction characteristics of larger ''full-scale'' landfills. An enhanced demonstration cell has received moisture supplementation to field capacity. This is the maximum moisture waste can hold while still limiting liquid drainage rate to minimal and safely manageable levels. The enhanced landfill module was compared to a parallel control landfill module receiving no moisture additions. Gas recovery has continued for a period of over 4 years. It is quite encouraging that the enhanced cell methane recovery has been close to 10-fold that experienced with conventional landfills. This is the highest methane recovery rate per unit waste, and thus progress toward stabilization, documented anywhere for such a large waste mass. This high recovery rate is attributed to moisture, and elevated temperature attained inexpensively during startup. Economic analyses performed under Phase I of this NETL contract indicate ''greenhouse cost effectiveness'' to be excellent. Other benefits include substantial waste volume loss (over 30%) which translates to extended landfill life. Other environmental benefits include rapidly improved quality and stabilization (lowered pollutant levels) in liquid leachate which drains from the waste.

Don Augenstein

2001-02-01T23:59:59.000Z

222

Multithreaded Algorithms for Maximum Matching in Bipartite Graphs  

Science Conference Proceedings (OSTI)

Abstract—We design, implement, and evaluate algorithms for computing a matching of maximum cardinality in a bipartite graph on multi-core and massively multithreaded computers. As computers with larger number of slower cores dominate the commodity processor market, the design of multithreaded algorithms to solve large matching problems becomes a necessity. Recent work on serial algorithms based on searching for augmenting paths for this problem have shown that their performance is sensitive to the order in which the vertices are processed for matching. In a multithreaded environment, imposing a serial order in which vertices are considered for matching would lead to loss of concurrency and performance. But this raises the question: Would parallel matching algorithms on multithreaded machines improve performance over a serial algorithm? We answer this question in the affirmative. We report efficient multithreaded implementations of two key algorithms (Hopcroft- Karp based on breadth-first-search, and Pothen-Fan based on depth-first-search) and their variants, combined with the Karp- Sipser initialization algorithm. We report extensive results and insights using three shared-memory platforms (a 48-core AMD Opteron, a 32-core Intel Nehalem, and a 128-processor Cray XMT) on a representative set of real-world and synthetic graphs. To the best of our knowledge, this is the first extensive study of augmentation-based parallel algorithms for bipartite cardinality matching.

Azad, Md Ariful; Halappanavar, Mahantesh; Rajamanickam, Siva; Boman, Erik G.; Khan, Arif; Pothen, Alex

2012-05-31T23:59:59.000Z

223

CMB Maximum Temperature Asymmetry Axis: Alignment with Other Cosmic Asymmetries  

E-Print Network (OSTI)

We use a global pixel based estimator to identify the axis of the residual Maximum Temperature Asymmetry (MTA) (after the dipole subtraction) of the WMAP 7 year Internal Linear Combination (ILC) CMB temperature sky map. The estimator is based on considering the temperature differences between opposite pixels in the sky at various angular resolutions (4 degrees-15 degrees and selecting the axis that maximizes this difference. We consider three large scale Healpix resolutions (N_{side}=16 (3.7 degrees), N_{side}=8 (7.3 degrees) and N_{side}=4 (14.7 degrees)). We compare the direction and magnitude of this asymmetry with three other cosmic asymmetry axes (\\alpha dipole, Dark Energy Dipole and Dark Flow) and find that the four asymmetry axes are abnormally close to each other. We compare the observed MTA axis with the corresponding MTA axes of 10^4 Gaussian isotropic simulated ILC maps (based on LCDM). The fraction of simulated ILC maps that reproduces the observed magnitude of the MTA asymmetry and alignment with the observed \\alpha dipole is in the range of 0.1%-0.5%$ (depending on the resolution chosen for the CMB map). The corresponding magnitude+alignment probabilities with the other two asymmetry axes (Dark Energy Dipole and Dark Flow) are at the level of about 1%. We propose Extended Topological Quintessence as a physical model qualitatively consistent with this coincidence of directions.

Antonio Mariano; Leandros Perivolaropoulos

2012-11-26T23:59:59.000Z

224

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

225

,"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"

226

,"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"

227

LANDFILL OPERATION FOR CARBON SEQUESTRATION AND MAXIMUM METHANE EMISSION CONTROL  

Science Conference Proceedings (OSTI)

Controlled landfilling is an approach to manage solid waste landfills, so as to rapidly complete methane generation, while maximizing gas capture and minimizing the usual emissions of methane to the atmosphere. With controlled landfilling, methane generation is accelerated to more rapid and earlier completion to full potential by improving conditions (principally moisture, but also temperature) to optimize biological processes occurring within the landfill. Gas is contained through use of surface membrane cover. Gas is captured via porous layers, under the cover, operated at slight vacuum. A field demonstration project has been ongoing under NETL sponsorship for the past several years near Davis, CA. Results have been extremely encouraging. Two major benefits of the technology are reduction of landfill methane emissions to minuscule levels, and the recovery of greater amounts of landfill methane energy in much shorter times, more predictably, than with conventional landfill practice. With the large amount of US landfill methane generated, and greenhouse potency of methane, better landfill methane control can play a substantial role both in reduction of US greenhouse gas emissions and in US renewable energy. The work described in this report, to demonstrate and advance this technology, has used two demonstration-scale cells of size (8000 metric tons [tonnes]), sufficient to replicate many heat and compaction characteristics of larger ''full-scale'' landfills. An enhanced demonstration cell has received moisture supplementation to field capacity. This is the maximum moisture waste can hold while still limiting liquid drainage rate to minimal and safely manageable levels. The enhanced landfill module was compared to a parallel control landfill module receiving no moisture additions. Gas recovery has continued for a period of over 4 years. It is quite encouraging that the enhanced cell methane recovery has been close to 10-fold that experienced with conventional landfills. This is the highest methane recovery rate per unit waste, and thus progress toward stabilization, documented anywhere for such a large waste mass. This high recovery rate is attributed to moisture, and elevated temperature attained inexpensively during startup. Economic analyses performed under Phase I of this NETL contract indicate ''greenhouse cost effectiveness'' to be excellent. Other benefits include substantial waste volume loss (over 30%) which translates to extended landfill life. Other environmental benefits include rapidly improved quality and stabilization (lowered pollutant levels) in liquid leachate which drains from the waste.

Don Augenstein; Ramin Yazdani; Rick Moore; Michelle Byars; Jeff Kieffer; Professor Morton Barlaz; Rinav Mehta

2000-02-26T23:59:59.000Z

228

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; Rearden, Bradley T [ORNL

2013-01-01T23:59:59.000Z

229

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

230

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"

231

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

232

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

233

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

234

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

235

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"

236

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

237

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

Science Conference Proceedings (OSTI)

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

Cook, J.R.

1997-09-01T23:59:59.000Z

238

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

SciTech Connect

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

Chandler, L.R. Jr.

2000-01-05T23:59:59.000Z

239

Table A4. Total Inputs of Energy for Heat, Power, and Electricity...  

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

"Table A4. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Census Division, Industry Group, and Selected Industries, 1994: Part 2" "...

240

Table A36. Total Inputs of Energy for Heat, Power, and Electricity  

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

"Table A36. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Fuel Type, Industry Group, Selected Industries, and End Use, 1991:" " Part 2" " (Estimates in...

Note: This page contains sample records for the topic "vac maximum input" 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

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

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

"Table A10. 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...

242

Use of probabilistic inversion to model qualitative expert input when selecting a new nuclear reactor technology.  

E-Print Network (OSTI)

?? Complex investment decisions by corporate executives often require the comparison of dissimilar attributes and competing technologies. A technique to evaluate qualitative input from experts… (more)

Merritt, Charles R., Jr.

2008-01-01T23:59:59.000Z

243

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

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

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...

244

Table A12. Total Inputs of Energy for Heat, Power, and Electricity...  

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

2. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region and Economic Characteristics of the Establishment, 1991" " (Estimates in Btu or Physical...

245

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

E-Print Network (OSTI)

Calibrated probabilistic forecasting using ensemble modelSutcliffe (1970), River flow forecasting through conceptuala Distributed Flood Forecasting Model with Input Uncertainty

Li, M.

2013-01-01T23:59:59.000Z

246

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

247

Spatial Forecasts of Maximum Hail Size Using Prognostic Model Soundings and HAILCAST  

Science Conference Proceedings (OSTI)

Forecasting the occurrence of hail and the maximum hail size is a challenging problem. This paper investigates the feasibility of producing maps of the forecast maximum hail size over the Canadian prairies using 12-h prognostic soundings from an ...

Julian C. Brimelow; Gerhard W. Reuter; Ron Goodson; Terrence W. Krauss

2006-04-01T23:59:59.000Z

248

On the Vertical Decay Rate of the Maximum Tangential Winds in Tropical Cyclones  

Science Conference Proceedings (OSTI)

In this study, it is shown that the maximum tangential winds within tropical cyclones decrease with height at a percentage rate that is nearly independent of both the maximum wind speed and the radius of maximum winds (RMW). This can be seen by ...

Daniel P. Stern; David S. Nolan

2011-09-01T23:59:59.000Z

249

MaxSolver: An efficient exact algorithm for (weighted) maximum satisfiability  

Science Conference Proceedings (OSTI)

Maximum Boolean satisfiability (max-SAT) is the optimization counterpart of Boolean satisfiability (SAT), in which a variable assignment is sought to satisfy the maximum number of clauses in a Boolean formula. A branch and bound algorithm based on the ... Keywords: DPLL, Linear programming, Nonlinear programming, Unit propagation, Variable ordering, Weighted maximum satisfiability

Zhao Xing; Weixiong Zhang

2005-05-01T23:59:59.000Z

250

Sensitivity of crop model predictions to entire meteorological and soil input datasets highlights vulnerability to drought  

Science Conference Proceedings (OSTI)

Crop growth models are increasingly used as part of research into areas such as climate change and bioenergy, so it is particularly important to understand the effects of environmental inputs on model results. Rather than investigating the effects of ... Keywords: Crop growth model, Drought, Input data, Parameterisation, Sensitivity analysis, Soil water

Mark Pogson; Astley Hastings; Pete Smith

2012-03-01T23:59:59.000Z

251

Technical communication: Extending the analog input capabilities of the DS1102 DSP controller board  

Science Conference Proceedings (OSTI)

The paper deals with an extention of the number of analog inputs of the DS1102 controller board which is commonly used in the area of electric machines. Manufactured with just four analog inputs, the DS1102 has been found inadequate for the implementation ... Keywords: Analog multiplexing, Analog to digital converters, Digital signal processor, Doubly-fed machine, Field oriented control

Badreddine Louhichi; Ahmed Masmoudi; Luc Loron

2005-01-01T23:59:59.000Z

252

Simulation for Performance Analysis of Grid-Connected Induction Generators with Input Voltage Control  

Science Conference Proceedings (OSTI)

With the increasing application of wind energy, various technologies are developed for analyzing the performance of grid-connected induction generator (GIG) based wind energy conversion systems (WECSs). Input voltage control is one among them. In the ... Keywords: grid-connected induction generators (GIGs), wind energy conversion systems (WECSs), input voltage control, performance analysis, MATLAB

Farhad Ilahi Bakhsh, Shirazul Islam, Sayeed Ahmad

2013-04-01T23:59:59.000Z

253

Call for White Papers: Soliciting Community Input for Alternate Science Investigations for the Kepler Spacecraft  

E-Print Network (OSTI)

Call for White Papers: Soliciting Community Input for Alternate Science Investigations of this call for white papers is to solicit community input for alternate science investigations that may project office personnel and expertise already in place. All white papers submitted in response

Rodriguez, Carlos

254

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

255

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

256

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

257

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

258

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.

259

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.

260

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

Note: This page contains sample records for the topic "vac maximum input" 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

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

262

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

263

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

264

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

265

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.

266

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.

267

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

268

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.

269

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.

270

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

271

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

272

Switched networks with maximum weight policies: Fluid approximation and multiplicative state space collapse  

E-Print Network (OSTI)

We consider a queueing network in which there are constraints on which queues may be served simultaneously; such networks may be used to model input-queued switches and wireless networks. The scheduling policy for such a ...

Shah, Devavrat

2012-01-01T23:59:59.000Z

273

Thermal desorption treatability test conducted with VAC*TRAX Unit  

SciTech Connect

In 1992, Congress passed the Federal Facilities Compliance Act, requiring the U.S. Department of Energy (DOE) to treat and dispose of its mixed waste in accordance with Resource Conservation and Recovery Act (RCRA) treatment standards. In response to the need for mixed-waste treatment capacity, where off-site commercial treatment facilities do not exist or cannot be used, the DOE Albuquerque Operations Office (DOE-AL) organized a Treatment Selection Team to match mixed waste with treatment options and develop a strategy for treatment of mixed waste. DOE-AL manages nine sites with mixed-waste inventories. The Treatment Selection Team determined a need to develop mobile treatment units (MTUs) to treat waste at the sites where the wastes are generated. Treatment processes used for mixed wastes must remove the hazardous component (i.e., meet RCRA treatment standards) and contain the radioactive component in a form that will protect the worker, public, and environment. On the basis of the recommendations of the Treatment Selection Team, DOE-AL assigned projects to the sites to bring mixed-waste treatment capacity on-line. The three technologies assigned to the DOE Grand Junction Projects Office (DOE-GJPO) include thermal desorption (TD), evaporative oxidation, and waste water evaporation.

1996-01-01T23:59:59.000Z

274

,"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"

275

,"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"

276

,"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"

277

,"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"

278

,"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"

279

,"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"

280

,"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"

Note: This page contains sample records for the topic "vac maximum input" 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

,"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"

282

,"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"

283

,"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"

284

,"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"

285

,"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"

286

,"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"

287

,"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"

288

,"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"

289

,"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"

290

,"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"

291

,"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"

292

,"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"

293

,"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"

294

,"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"

295

,"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"

296

,"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"

297

,"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"

298

,"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"

299

,"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"

300

,"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"

Note: This page contains sample records for the topic "vac maximum input" 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

,"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"

302

,"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"

303

,"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"

304

,"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"

305

,"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"

306

,"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"

307

,"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"

308

,"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"

309

,"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"

310

,"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"

311

,"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"

312

,"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"

313

,"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"

314

GENII dose calculations for offsite maximum individual and populations from Plutonium Finishing Plant  

Science Conference Proceedings (OSTI)

Document describes the potential dose consequences to the offsite maximum individual and population for ground and stack level releases at the offsite receptors from the Plutonium Finishing Plant.

Nguyen, L.V.

1995-09-29T23:59:59.000Z

315

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

316

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

317

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.

318

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

319

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

E-Print Network (OSTI)

INPUT CONDITIONS FOR ACTIVE SOLAR HEATING SYSTEMS Mashuri L.CONDITIONS FOR ACTIVE SOLAR HEATING SYSTEMS * • Mashuri L.consists of a hydronic solar space heating system with heat

Warren, Mashuri L.

2013-01-01T23:59:59.000Z

320

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

Note: This page contains sample records for the topic "vac maximum input" 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

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

322

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

323

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

324

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

325

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

326

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

327

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

328

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

329

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

330

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.

331

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

332

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

333

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:

334

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

335

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

336

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

337

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

338

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.

339

Neural Network Input Representations that Produce Accurate Consensus Sequences from DNA Fragment Assemblies  

E-Print Network (OSTI)

Motivation: Given inputs extracted from an aligned column of DNA bases and the underlying Perkin Elmer Applied Biosystems (ABI) fluorescent traces, our goal is to train a neural network to correctly determine the consensus base for the column. Choosing an appropriate network input representation is critical to success in this task. We empirically compare five representations; one uses only base calls and the others include trace information. Results: We attained the most accurate results from networks that incorporate trace information into their input representations. Based on estimates derived from using 10-fold cross-validation, the best network topology produces consensus accuracies ranging from 99.26% to over 99.98% for coverages from two to six aligned sequences. With a coverage of six, it makes only three errors in 20,000 consensus calls. In contrast, the network that only uses base calls in its input representation has over double that error rate -- eight errors in 20,000 cons...

C.F. Allex; J.W. Shavlik; F.R. Blattner

1999-01-01T23:59:59.000Z

340

Documentation of Calculation Methodology, Input data, and Infrastructure for the Home Energy Saver Web Site  

E-Print Network (OSTI)

Water Heater Analysis. 26 3.3 Major Appliances 28 3.3.1 Refrigerator Energy Consumption . 28 3.3.1.1 User Inputs to the Refrigerator Model .

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "vac maximum input" 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

Using Genetic Algorithms to Optimize Bathymetric Sampling for Predictive Model Input  

Science Conference Proceedings (OSTI)

This paper describes the use of an optimization method to effectively reduce the required bathymetric sampling for forcing a numerical forecast model by using the model’s sensitivity to this input. A genetic algorithm is developed to gradually ...

Dinesh Manian; James M. Kaihatu; Emily M. Zechman

2012-03-01T23:59:59.000Z

342

Documentation of Calculation Methodology, Input data, and Infrastructure for the Home Energy Saver Web Site  

E-Print Network (OSTI)

U.S. Census Bureau. 2004. “ZIP Code Tabulation Area (ZCTA)4 Figure 2. Initial “Simple” Inputs Page with ZIP Code BasedGreg Homan, Maggie Pinckard Zip code to Weather Tape

2005-01-01T23:59:59.000Z

343

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

344

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

Science Conference Proceedings (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 that energy is ...

Fabien Roquet; Carl Wunsch; Gurvan Madec

2011-12-01T23:59:59.000Z

345

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

E-Print Network (OSTI)

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

Huang, Sonya (Sonya Y.)

2013-01-01T23:59:59.000Z

346

Table 16. Refinery Input of Crude Oil and Petroleum Products by ...  

U.S. Energy Information Administration (EIA)

Atmospheric Crude Oil Distillation Gross Input (daily average) ..... 575 3,599 2,900 142 81 7,297 531 2,872 15,508 Operable Capacity (daily ...

347

New continuous-input current charge pump power-factor-correction electronic ballast  

SciTech Connect

Continuous-input current charge pump power-factor-correction (CIC-CPPFC) electronic ballasts are proposed in this paper. The CPPFC circuit and unity power factor condition using the charge pump concept are derived and analyzed. The average lamp current control with switching frequency modulation was developed so that the low crest factor and constant lamp power operation can be achieved. The developed electronic ballast has continuous input current, so that a small line input filter can be used. The proposed CIC-CPPFC electronic ballast was implemented and tested with two 45-W fluorescent lamps. It is shown that the measured line input current harmonics satisfy IEC 1000-3-2 Class C requirements.

Qian, J.; Lee, F.C. [Virginia Polytechnic Inst. and State Univ., Blacksburg, VA (United States); Yamauchi, Tokushi [Matsushita Electric Works, Ltd., Osaka (Japan). Lighting Research and Development Center

1999-03-01T23:59:59.000Z

348

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"

349

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"

350

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"

351

Review: Independent component analysis for multiple-input multiple-output wireless communication systems  

Science Conference Proceedings (OSTI)

Independent component analysis (ICA), an efficient higher order statistics (HOS) based blind source separation technique, has been successfully applied in various fields. In this paper, we provide an overview of the applications of ICA in multiple-input ... Keywords: Frequency-domain equalization (FDE), I/Q imbalance, Independent component analysis (ICA), Multiple-input multiple-output (MIMO), Orthogonal frequency-division multiplexing (OFDM), Peak-to-average power ratio (PAPR)

J. Gao; X. Zhu; A. K. Nandi

2011-04-01T23:59:59.000Z

352

Maximum likelihood blind image separation using nonsymmetrical half-plane Markov random fields  

Science Conference Proceedings (OSTI)

This paper presents a maximum likelihood approach for blindly separating linear instantaneous mixtures of images. The spatial autocorrelation within each image is described using non-symmetrical half-plane (NSHP) Markov random fields in order to simplify ... Keywords: blind source separation (BSS), maximum likelihood approach, nonstationary sources, nonsymmetrical half-plane (NSHP) Markov random fields

Rima Guidara; Shahram Hosseini; Yannick Deville

2009-11-01T23:59:59.000Z

353

The greedy algorithm for domination in graphs of maximum degree 3  

Science Conference Proceedings (OSTI)

We show that for a connected graph with n nodes and e edges and maximum degree at most 3, the size of the dominating set found by the greedy algorithm is at most 10n - 2e/13 if e ? 11/10n, 11n - ... Keywords: algorithms, dominating set, maximum size

Suzanne M. Seager

2004-01-01T23:59:59.000Z

354

A Note on the Parameterized Complexity of Unordered Maximum Tree Orientation  

E-Print Network (OSTI)

A Note on the Parameterized Complexity of Unordered Maximum Tree Orientation Sebastian B University, 41296 G¨oteborg, Sweden ptr@chalmers.se Abstract In the Unordered Maximum Tree Orientation problem, a set P of paths in a tree and a parameter k is given, and we want to orient the edges

Damaschke, Peter

355

Maximum-Power-Point Tracking Method of Photovoltaic Using Only Single Current Sensor  

E-Print Network (OSTI)

is proportional to its short current. One of them has a monitor photovoltaic cell to detect its shortMaximum-Power-Point Tracking Method of Photovoltaic Using Only Single Current Sensor Toshihiko» «Solar cell systems» Abstract This paper describes a novel strategy of maximum-power-point tracking

Fujimoto, Hiroshi

356

Original article: Comparison of maximum peak power tracking algorithms for a small wind turbine  

Science Conference Proceedings (OSTI)

This paper reviews maximum power point tracking (MPPT) algorithms dedicated for small wind turbines (SWTs). Many control strategies with different features are available and it is very important to select proper one in order to achieve best performance ... Keywords: Maximum power point tracking (MPPT), PMSG, Small wind turbine (SWT)

R. Kot, M. Rolak, M. Malinowski

2013-05-01T23:59:59.000Z

357

Reliable Solution of a Unilateral Frictionless Contact Problem in Quasi-Coupled Thermo-Elasticity with Uncertain Input Data  

Science Conference Proceedings (OSTI)

A unilateral contact problem without friction in quasi-coupled thermo-elasticity and with uncertain input data is analysed. The worst scenario method is used to find the most "dangerous" admissible input data.

Ivan Hlavácek; Jirí Nedoma

2002-04-01T23:59:59.000Z

358

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.

359

,"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)"

360

Hydromechanical transmission with two planetary assemblies that are clutchable to both the input and output shafts  

DOE Patents (OSTI)

A power transmission having two planetary assemblies, each having its own carrier and its own planet, sun, and ring gears. A speed-varying module is connected in driving relation to the input shaft and in driving relationship to the two sun gears, which are connected together. The speed-varying means may comprise a pair of hydraulic units hydraulically interconnected so that one serves as a pump while the other serves as a motor and vice versa, one of the units having a variable stroke and being connected in driving relation to the input shaft, the other unit, which may have a fixed stroke, being connected in driving relation to the sun gears. A brake grounds the first carrier in the first range and in reverse and causes drive to be delivered to the output shaft through the first ring gear in a hydrostatic mode, the first ring gear being rigidly connected to the output shaft. The input shaft also is clutchable to either the carrier or the ring gear of the second planetary assembly. The output shaft is also clutchable to the carrier of the second planetary assembly when the input is clutched to the ring gear of the second planetary assembly, and is clutchable to the ring gear of the second planetary assembly when the input is clutched to the carrier thereof.

Orshansky, Jr., deceased, Elias (LATE OF San Francisco, CA); Weseloh, William E. (San Diego, CA)

1979-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "vac maximum input" 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

"Table A52. Nonswitchable Minimum Requirements and Maximum Consumption"  

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

2. Nonswitchable Minimum Requirements and Maximum Consumption" 2. Nonswitchable Minimum Requirements and Maximum Consumption" " Potential by Census Region, 1991" " (Estimates in Physical Units)" ,,,,"RSE" ,"Actual","Minimum","Maximum","Row" "Type of Energy","Consumption","Consumption(a)","Consumption(b)","Factors" "RSE Column Factors:",1,1.2,0.8 ," Total United States" ,"-","-","-" "Electricity Receipts(c) (million kilowatthours)",718480,701478,766887,2 "Natural Gas (billion cubic feet)",5345,3485,5887,2 "Distillate Fuel Oil (thousand barrels)",23885,19113,201081,3.7 "Residual Fuel Oil (thousand barrels)",65837,36488,201921,2.6

362

,"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"

363

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

364

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

365

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

366

Development of the fundamental attributes and inputs for proliferation resistance assessments of nuclear fuel cycles  

E-Print Network (OSTI)

Robust and reliable quantitative proliferation resistance assessment tools are critical to a strengthened nonproliferation regime and to the future deployment of nuclear fuel cycle technologies. Efforts to quantify proliferation resistance have thus far met with limited success due to the inherent subjectivity of the problem and interdependencies between attributes that contribute to proliferation resistance. This work focuses on the diversion of nuclear material by a state and defers other threats such as theft or terrorism to future work. A new approach is presented that assesses the problem through four stages of proliferation: the diversion of nuclear material, the transportation of nuclear material from an internationally safeguarded nuclear facility to an undeclared facility, the transformation of material into a weapons-usable metal, and weapon fabrication. A complete and concise set of intrinsic and extrinsic attributes of the nation, facility and material that could impede proliferation are identified. Quantifiable inputs for each of these attributes are defined. For example, the difficulty of handling the diverted material is captured with inputs like mass and bulk, radiation dose, heating rate and others. Aggregating these measurements into an overall value for proliferation resistance can be done in multiple ways based on well-developed decision theory. A preliminary aggregation scheme is provided along with results obtained from analyzing a small spent fuel reprocessing plant to demonstrate quantification of the attributes and inputs. This quantification effort shows that the majority of the inputs presented are relatively straightforward to work with while a few are not. These few difficult inputs will only be useful in special cases where the analyst has access to privileged, detailed or classified information. The stages, attributes and inputs of proliferation presented in this work provide a foundation for proliferation resistance assessments which may use multiple types of aggregation schemes. The overall results of these assessments are useful in comparing nuclear technologies and aiding decisions about development and deployment of that technology.

Giannangeli, Donald D. J., III

2003-05-01T23:59:59.000Z

367

Recent Trends of Minimum and Maximum Surface Temperatures over Eastern Africa  

Science Conference Proceedings (OSTI)

This study investigated recent trends in the mean surface minimum and maximum air temperatures over eastern Africa by use of both graphical and statistical techniques. Daily records for 71 stations for the period 1939–92 were used.

S. M. King’uyu; L. A. Ogallo; E. K. Anyamba

2000-08-01T23:59:59.000Z

368

The Use of Polar-orbiting Satellite Sounding Data to Estimate Rural Maximum and Minimum Temperatures  

Science Conference Proceedings (OSTI)

Atmospheric sounding products from NOAA's polar-orbiting satellites were used to derive and test predictive equations of rural shelter-level maximum and minimum temperatures. Sounding data from both winter and summer months were combined with ...

Gregory L. Johnson; Jerry M. Davis; Thomas R. Karl; Alan L. McNab; J. Dan Tarpley; Peter Bloomfield

1993-05-01T23:59:59.000Z

369

Inertial measurement unit calibration using Full Information Maximum Likelihood Optimal Filtering  

E-Print Network (OSTI)

The robustness of Full Information Maximum Likelihood Optimal Filtering (FIMLOF) for inertial measurement unit (IMU) calibration in high-g centrifuge environments is considered. FIMLOF uses an approximate Newton's Method ...

Thompson, Gordon A. (Gordon Alexander)

2005-01-01T23:59:59.000Z

370

Wind Mixing and Restratification in a Lake near the Temperature of Maximum Density  

Science Conference Proceedings (OSTI)

The cooling of a freshwater take provides an opportunity for studying wind mixing and restratification under the peculiar conditions associated with a density maximum. The concepts are explored using a mixing-layer model that incorporates both ...

David M. Farmer; Eddy Carmack

1981-11-01T23:59:59.000Z

371

Tropical Cyclone Genesis Factors in Simulations of the Last Glacial Maximum  

Science Conference Proceedings (OSTI)

Large-scale environmental factors that favor tropical cyclogenesis are calculated and examined in simulations of the Last Glacial Maximum (LGM) from the Paleoclimate Modelling Intercomparison Project Phase 2 (PMIP2). Despite universally colder ...

Robert L. Korty; Suzana J. Camargo; Joseph Galewsky

2012-06-01T23:59:59.000Z

372

Cloud and Water Vapor Feedbacks in a Vertical Energy-Balance Model with Maximum Entropy Production  

Science Conference Proceedings (OSTI)

A vertically one-dimensional model is developed with cloud fraction constrained by the maximum entropy production (MEP) principle. The model reasonably reproduces the global mean climate with its surface temperature, radiation and heat fluxes, ...

Biao Wang; Teruyuki Nakajima; Guangyu Shi

2008-12-01T23:59:59.000Z

373

Energy and Enstrophy Spectra of Geostrophic Turbulent Flows Derived from a Maximum Entropy Principle  

Science Conference Proceedings (OSTI)

The principle of maximum entropy is used to obtain energy and enstrophy spectra as well as average relative vorticity fields in the context of geostrophic turbulence on a rotating sphere. In the unforced-undamped (inviscid) case, the maximization ...

W. T. M. Verkley; Peter Lynch

2009-08-01T23:59:59.000Z

374

A New Perspective on Recent Global Warming: Asymmetric Trends of Daily Maximum and Minimum Temperature  

Science Conference Proceedings (OSTI)

Monthly mean maximum and minimum temperatures for over 50% (10%) of the Northern (Southern) Hemisphere landmass, accounting for 37% of the global landmass, indicate that the rise of the minimum temperature has occurred at a rate three times that ...

Thomas R. Karl; Richard W. Knight; Kevin P. Gallo; Thomas C. Peterson; Philip D. Jones; George Kukla; Neil Plummer; Vyacheslav Razuvayev; Janette Lindseay; Robert J. Charlson

1993-06-01T23:59:59.000Z

375

Recent Maximum Temperature Anomalies at Albany, New York: Fact or Fiction  

Science Conference Proceedings (OSTI)

An analysis has been conducted of a suspected daily maximum temperature (DMT) bias introduced by the replacement of the National Weather Service (NWS) HO-63 bygrothermograph with a modernized HO-83 instrument at Albany, New York, on 6 February ...

Ronald W. Kessler; Lance F. Bosart; Robert S. Gaza

1993-02-01T23:59:59.000Z

376

Predicting Daily Maximum Temperatures Using Linear Regression and Eta Geopotential Thickness Forecasts  

Science Conference Proceedings (OSTI)

The relationship between forecast geopotential thickness and observed maximum temperature is investigated, and regression equations are calculated using numerical model thickness forecasts for Nashville. Model thickness forecast accuracy is shown ...

Darrell R. Massie; Mark A. Rose

1997-12-01T23:59:59.000Z

377

The Maximum Intensity of Tropical Cyclones in Axisymmetric Numerical Model Simulations  

Science Conference Proceedings (OSTI)

An axisymmetric numerical model is used to evaluate the maximum possible intensity of tropical cyclones. As compared with traditionally formulated nonhydrostatic models, this new model has improved mass and energy conservation in saturated ...

George H. Bryan; Richard Rotunno

2009-06-01T23:59:59.000Z

378

Observational Evidence for Reduction of Daily Maximum Temperature by Croplands in the Midwest United States  

Science Conference Proceedings (OSTI)

Climate model simulations have shown that conversion of natural forest vegetation to croplands in the United States cooled climate. The cooling was greater for daily maximum temperature than for daily minimum temperature, resulting in a reduced ...

Gordon B. Bonan

2001-06-01T23:59:59.000Z

379

Estimating Summer Design Temperatures from Daily Maximum Temperatures in New Mexico  

Science Conference Proceedings (OSTI)

Many climatological locations report only maximum and minimum temperatures. However, in certain applications, such as estimation of design temperatures, the frequency distribution of hourly temperatures is required. For this reason, a method is ...

Kenneth E. Kunkel

1986-04-01T23:59:59.000Z

380

A mechanism for explaining the maximum intraseasonal oscillation center over the western North Pacific  

Science Conference Proceedings (OSTI)

During late boreal summer (July through October), the intraseasonal oscillation (ISO) exhibits maximum variability over the western North Pacific (WNP) centered in the South China Sea and Philippine Sea, while many numerical models have difficulty ...

Fei Liu; Bin Wang

Note: This page contains sample records for the topic "vac maximum input" 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

Tropical climate variability from the last glacial maximum to the present  

E-Print Network (OSTI)

This thesis evaluates the nature and magnitude of tropical climate variability from the Last Glacial Maximum to the present. The temporal variability of two specific tropical climate phenomena is examined. The first is the ...

Dahl, Kristina Ariel

2005-01-01T23:59:59.000Z

382

Tropical Cooling at the Last Glacial Maximum: An Atmosphere–Mixed Layer Ocean Model Simulation  

Science Conference Proceedings (OSTI)

The sensitivity of tropical temperature to glacial forcing is examined by using an atmosphere–mixed layer ocean (A–MLO) model to simulate the climate of the last glacial maximum (LGM) following specifications established by the Paleoclimate ...

Anthony J. Broccoli

2000-03-01T23:59:59.000Z

383

On the Maximum Exospheric Temperature of Hydrogen-Dominated Planetary Atmospheres  

Science Conference Proceedings (OSTI)

It is shown that under static conditions the maximum temperature attainable in the exospheres of hydrogen-dominated planetary atmospheres is of order 105 K when gravitational separation between hydrogen and other elements has occurred, and 104 K ...

G. P. Horedt

1982-06-01T23:59:59.000Z

384

Recent Trends in Maximum and Minimum Temperature Threshold Exceedences in the Northeastern United States  

Science Conference Proceedings (OSTI)

Changes in the annual number of daily maximum and minimum temperature threshold exceedences between 1951 and 1993 are assessed at a network of 22 primarily rural sites in the northeastern United States. After adjusting the annual time series for ...

Arthur T. DeGaetano

1996-07-01T23:59:59.000Z

385

Wavenumber Analysis of Azimuthally Distributed Data: Assessing Maximum Allowable Gap Size  

Science Conference Proceedings (OSTI)

Performing wavenumber decomposition on azimuthally distributed data such as those in tropical cyclones can be challenging when data gaps exist in the signal. In the literature, ad hoc approaches are found to determine maximum gap size beyond which ...

Sylvie Lorsolo; Altu? Aksoy

2012-06-01T23:59:59.000Z

386

An Interactive Method for Estimating Maximum Hailstone Size from Forecast Soundings  

Science Conference Proceedings (OSTI)

A diagnostic/prognostic sounding analysis package is presented to aid operational forecasters. First, a diagnostic sounding analysis is shown which computes standard thermodynamic parameters while including a scheme to estimate the maximum hail ...

James T. Moore; John P. Pino

1990-09-01T23:59:59.000Z

387

Systematic Biases in Manual Observations of Daily Maximum and Minimum Temperature  

Science Conference Proceedings (OSTI)

The authors demonstrate that manual observations of daily maximum and minimum temperature are strongly biased toward temperatures ending in certain digits. The nature and severity of these biases are quantified using standard statistical methods. ...

Jon M. Nese

1994-05-01T23:59:59.000Z

388

Performance of Photovoltaic Maximum Power Point Tracking Algorithms in the Presence of Noise  

E-Print Network (OSTI)

algorithms for stand- alone photovoltaic systems," Solar Energy Materials and Solar Cells, vol. 90, no. 11 of a maximum power point tracker," in IEEE Photovolatic Specialists Conference, 2008, pp. 1­3. [10] W. Wu, N

Odam, Kofi

389

Optimising maximum power output and minimum entropy generation of Atkinson cycle using mutable smart bees algorithm  

Science Conference Proceedings (OSTI)

The purpose of this article is optimising maximum power output (MPO) and minimum entropy generation (MEG) of an Atkinson cycle as a multi-objective constraint thermodynamic problem by a new improved artificial bee colony algorithm which utilises 'mutable ...

Mofid Gorji; Ahmad Mozaffari; Sina Mohammadrezaei Noudeh

2012-07-01T23:59:59.000Z

390

Combining Lagrangian decomposition with an evolutionary algorithm for the knapsack constrained maximum spanning tree problem  

Science Conference Proceedings (OSTI)

We present a Lagrangian decomposition approach for the Knapsack Constrained Maximum Spanning Tree problem yielding upper bounds as well as heuristic solutions. This method is further combined with an evolutionary algorithm to a sequential hybrid approach. ...

Sandro Pirkwieser; Günther R. Raidl; Jakob Puchinger

2007-04-01T23:59:59.000Z

391

A Method to Estimate Missing Daily Maximum and Minimum Temperature Observations  

Science Conference Proceedings (OSTI)

A method to estimate missing daily maximum and minimum temperatures is presented. Temperature estimates are based on departures from daily temperature normals at the three closest stations with similar observation times. Although applied to ...

Arthur T. DeGaetano; Keith L. Eggleston; Warren W. Knapp

1995-02-01T23:59:59.000Z

392

Atlantic Ocean circulation at the last glacial maximum : inferences from data and models  

E-Print Network (OSTI)

This thesis focuses on ocean circulation and atmospheric forcing in the Atlantic Ocean at the Last Glacial Maximum (LGM, 18-21 thousand years before present). Relative to the pre-industrial climate, LGM atmospheric CO? ...

Dail, Holly Janine

2012-01-01T23:59:59.000Z

393

The Influence of Large-Scale Climate Variability on Winter Maximum Daily Precipitation over North America  

Science Conference Proceedings (OSTI)

The generalized extreme value (GEV) distribution is fitted to winter season daily maximum precipitation over North America, with indices representing El Niño–Southern Oscillation (ENSO), the Pacific decadal oscillation (PDO), and the North ...

Xuebin Zhang; Jiafeng Wang; Francis W. Zwiers; Pavel Ya Groisman

2010-06-01T23:59:59.000Z

394

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

395

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"

396

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

397

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}~"

398

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

399

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"

400

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

Note: This page contains sample records for the topic "vac maximum input" 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

STARS: Sign tracking and recognition system using input-output HMMs  

Science Conference Proceedings (OSTI)

STARS is a vision based real time gestural interface that allows both communicative and manipulative 3D hand gestures, which vary in motion and appearance, to control target generic personal computer applications. This input-output HMM based framework ... Keywords: Adaptive threshold model, Gesture spotting, HCI, HCRF, Hand gesture recognition, IOHMM

C. Keskin; L. Akarun

2009-09-01T23:59:59.000Z

402

Energy conservation and power consumption analysis in China based on input-output method  

Science Conference Proceedings (OSTI)

To achieve the sustainable development of society, the 11th five-year plan of national economic and social development of China raised the energy-saving target of decreasing 20% energy consumption per unit GDP in 2010 than the end of 2005. Based on the ... Keywords: energy intensity, energy-saving, input-output model, power demand

He Yong-Xiu; Zhang Song-Lei; Tao Wei-Jun; Li Fu-Rong

2008-02-01T23:59:59.000Z

403

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

404

Multi-Input Floating Gate Differential Amplifier and Application to Intelligent Sensors  

Science Conference Proceedings (OSTI)

Multi-input floating gate differential amplifier (FGDA) is proposed which can perform any convolution operation with differential structure and feedback loop. All operations are in the voltage mode. Only one terminal is required for the negative feedback ... Keywords: DCT, floating gate, image compression, image sensor, signal processing

Takeyasu Sakai; Hiromasa Nagai; Takashi Matsumoto

2000-12-01T23:59:59.000Z

405

A Tight Lower Bound to the Outage Probability of Discrete-Input Block-Fading Channels  

Science Conference Proceedings (OSTI)

In this correspondence, a tight lower bound to the outage probability of discrete-input Nakagami-m block-fading channels is proposed. The approach permits an efficient method for numerical evaluation of the bound, providing an additional tool for system ... Keywords: Block-fading channel, diversity, error probability, outage probability, rate-diversity tradeoff, signal-to-noise ratio (SNR)-exponent

K. D. Nguyen; A. Guillen i Fabregas; L. K. Rasmussen

2007-11-01T23:59:59.000Z

406

Algorithm for stochastic approximation with trial input perturbation in the nonstationary problem of optimization  

Science Conference Proceedings (OSTI)

Consideration was given to the randomized stochastic approximation algorithm with simultaneous trial input perturbation and two measurements used to optimize the unconstrained nonstationary functional. The upper boundary of the mean-square residual was ... Keywords: 02.50.Sk, 02.60.Pn

A. T. Vakhitov; O. N. Granichin; L. S. Gurevich

2009-11-01T23:59:59.000Z

407

Unknown input estimation for a class of nonlinear systems and its application to automotive engine controls  

Science Conference Proceedings (OSTI)

System unmodeled dynamics and uncertainties are common issues in the design of model based controllers and observers. One way to deal with this is to design an unknown input observer to estimate those unknown variables. However it is not feasible, if ...

Chia-Shang Liu; Pingan He

2009-06-01T23:59:59.000Z

408

Distributed model-invariant detection of unknown inputs in networked systems  

Science Conference Proceedings (OSTI)

This work considers hypothesis testing in networked systems under severe lack of prior knowledge. In previous work we derived a centralized Uniformly Most Powerful Invariant (UMPI) approach to testing unknown inputs in unknown Linear Time Invariant (LTI) ... Keywords: invariant testing, networked systems

James Weimer; Damiano Varagnolo; Karl Henrik Johansson

2013-04-01T23:59:59.000Z

409

A condition-based maintenance policy and input parameters estimation for deteriorating systems under periodic inspection  

Science Conference Proceedings (OSTI)

This paper combines an optimization model and input parameters estimation from empirical data, in order to propose condition-based maintenance policies. The system deterioration is described by discrete states ordered from the state ''as good as new'' ... Keywords: Condition-based maintenance, Decision-making under uncertainty, Hidden Markov Models, Optimal control, Stochastic-dynamic programming

Maxstaley L. Neves; Leonardo P. Santiago; Carlos A. Maia

2011-10-01T23:59:59.000Z

410

U.S. Gross Inputs to Refineries (Thousand Barrels per Day)  

U.S. Energy Information Administration (EIA)

U.S. Gross Inputs to Refineries (Thousand Barrels per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec; 1985: 11,583: 11,485: 11,484: 11,969: 12,269: 12,422 ...

411

On the Value of Input Efficiency, Capacity Efficiency, and the Flexibility to Rebalance Them  

Science Conference Proceedings (OSTI)

A common characteristic of basic material manufacturers which account for 85% of all industrial energy use and of cleantech manufacturers is that they are price takers in their input and output markets. Variability in those prices has implications for ... Keywords: energy efficiency, environment, flexibility, process improvement

Erica L. Plambeck, Terry A. Taylor

2013-10-01T23:59:59.000Z

412

Documentation of Calculation Methodology, Input data, and Infrastructure for the Home Energy Saver Web Site  

E-Print Network (OSTI)

Heating Equipment, Mobile Home Furnaces, Kitchen Ranges and Ovens,Oven fuel Climate zone Year house was built Number of stories HeatingHeating Energy. 36 3.3.5.3 User Inputs to the Dishwasher Models 37 3.3.6 Stove and Oven

2005-01-01T23:59:59.000Z

413

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

E-Print Network (OSTI)

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

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

2004-01-01T23:59:59.000Z

414

Personalized input: improving ten-finger touchscreen typing through automatic adaptation  

Science Conference Proceedings (OSTI)

Although typing on touchscreens is slower than typing on physical keyboards, touchscreens offer a critical potential advantage: they are software-based, and, as such, the keyboard layout and classification models used to interpret key presses can dynamically ... Keywords: adaptive interfaces, personalization, touchscreen text input

Leah Findlater; Jacob Wobbrock

2012-05-01T23:59:59.000Z

415

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

416

Input Feature Extraction for Multilayered Perceptrons Using Supervised Principal Component Analysis  

Science Conference Proceedings (OSTI)

A method is proposed for constructing salient features from a set of features that are given as input to a feedforward neural network used for supervised learning. Combinations of the original features are formed that maximize the sensitivity of ... Keywords: feature extraction, feature selection, multilayered perceptron, principal components, saliency

Stavros J. Perantonis; Vassilis Virvilis

1999-12-01T23:59:59.000Z

417

Truncated predictor feedback for linear systems with long time-varying input delays  

Science Conference Proceedings (OSTI)

In this paper we study the problem of stabilizing a linear system with a single long time-varying delay in the input. Under the assumption that the open-loop system is stabilizable and not exponentially unstable, a finite dimensional static time-varying ... Keywords: Actuator saturation, Energy constraints, Semi-global stabilization, Stabilization, Time-varying delay, Truncated predictor feedback

Bin Zhou; Zongli Lin; Guang-Ren Duan

2012-10-01T23:59:59.000Z

418

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

419

Using Economic Input/Output Tables to Predict a Country’s Nuclear Status  

Science Conference Proceedings (OSTI)

Both nuclear power and nuclear weapons programs should have (related) economic signatures which are detectible at some scale. We evaluated this premise in a series of studies using national economic input/output (IO) data. Statistical discrimination models using economic IO tables predict with a high probability whether a country with an unknown predilection for nuclear weapons proliferation is in fact engaged in nuclear power development or nuclear weapons proliferation. We analyzed 93 IO tables, spanning the years 1993 to 2005 for 37 countries that are either members or associates of the Organization for Economic Cooperation and Development (OECD). The 2009 OECD input/output tables featured 48 industrial sectors based on International Standard Industrial Classification (ISIC) Revision 3, and described the respective economies in current country-of-origin valued currency. We converted and transformed these reported values to US 2005 dollars using appropriate exchange rates and implicit price deflators, and addressed discrepancies in reported industrial sectors across tables. We then classified countries with Random Forest using either the adjusted or industry-normalized values. Random Forest, a classification tree technique, separates and categorizes countries using a very small, select subset of the 2304 individual cells in the IO table. A nation’s efforts in nuclear power, be it for electricity or nuclear weapons, are an enterprise with a large economic footprint -- an effort so large that it should discernibly perturb coarse country-level economics data such as that found in yearly input-output economic tables. The neoclassical economic input-output model describes a country’s or region’s economy in terms of the requirements of industries to produce the current level of economic output. An IO table row shows the distribution of an industry’s output to the industrial sectors while a table column shows the input required of each industrial sector by a given industry.

Weimar, Mark R.; Daly, Don S.; Wood, Thomas W.

2010-07-15T23:59:59.000Z

420

Microcontroller Servomotor for Maximum Effective Power Point for Solar Cell System  

E-Print Network (OSTI)

In this paper a Maximum Power point (MPP) tracking algorithm is developed using dual-axis servomotor feedback tracking control system. An efficient and accurate servomotor system is used to increase the system efficiency and reduces the solar cell system coast. The proposed automatic servo control system based on PIC microcontroller which is used to control the photovoltaic (PV) modules. This servo system will track the sun rays in order to get MPP during the day using direct radiation. A photo cell is used to sense the direct sun radiation and feedback a signal to the PIC microcontroller, and then the decisions are made through the microcontroller and send a command to the servomotor system to achieve maximum power generation. The proposed system is demonstrated through simulation results. Finally, using the proposed system based on PIC microcontroller, the system will be more efficient, minimum cost, and maximum power transfer is obtained.

Al-Khalidy, M.; Al-Rawi, O.; Noaman, N.

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "vac maximum input" 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

Spectral Modeling of SNe Ia Near Maximum Light: Probing the Characteristics of Hydro Models  

E-Print Network (OSTI)

We have performed detailed NLTE spectral synthesis modeling of 2 types of 1-D hydro models: the very highly parameterized deflagration model W7, and two delayed detonation models. We find that overall both models do about equally well at fitting well observed SNe Ia near to maximum light. However, the Si II 6150 feature of W7 is systematically too fast, whereas for the delayed detonation models it is also somewhat too fast, but significantly better than that of W7. We find that a parameterized mixed model does the best job of reproducing the Si II 6150 line near maximum light and we study the differences in the models that lead to better fits to normal SNe Ia. We discuss what is required of a hydro model to fit the spectra of observed SNe Ia near maximum light.

E. Baron; S. Bongard; David Branch; Peter H. Hauschildt

2006-03-03T23:59:59.000Z

422

Estimating the maximum potential revenue for grid connected electricity storage : arbitrage and regulation.  

Science Conference Proceedings (OSTI)

The valuation of an electricity storage device is based on the expected future cash ow generated by the device. Two potential sources of income for an electricity storage system are energy arbitrage and participation in the frequency regulation market. Energy arbitrage refers to purchasing (stor- ing) energy when electricity prices are low, and selling (discharging) energy when electricity prices are high. Frequency regulation is an ancillary service geared towards maintaining system frequency, and is typically procured by the independent system operator in some type of market. This paper outlines the calculations required to estimate the maximum potential revenue from participating in these two activities. First, a mathematical model is presented for the state of charge as a function of the storage device parameters and the quantities of electricity purchased/sold as well as the quantities o ered into the regulation market. Using this mathematical model, we present a linear programming optimization approach to calculating the maximum potential revenue from an elec- tricity storage device. The calculation of the maximum potential revenue is critical in developing an upper bound on the value of storage, as a benchmark for evaluating potential trading strate- gies, and a tool for capital nance risk assessment. Then, we use historical California Independent System Operator (CAISO) data from 2010-2011 to evaluate the maximum potential revenue from the Tehachapi wind energy storage project, an American Recovery and Reinvestment Act of 2009 (ARRA) energy storage demonstration project. We investigate the maximum potential revenue from two di erent scenarios: arbitrage only and arbitrage combined with the regulation market. Our analysis shows that participation in the regulation market produces four times the revenue compared to arbitrage in the CAISO market using 2010 and 2011 data. Then we evaluate several trading strategies to illustrate how they compare to the maximum potential revenue benchmark. We conclude with a sensitivity analysis with respect to key parameters.

Byrne, Raymond Harry; Silva Monroy, Cesar Augusto.

2012-12-01T23:59:59.000Z

423

Scientific highlights of the Study of Travelling Interplanetary Phenomena (STIP) intervals during the SMY/SMA (Solar Maximum Year/Solar Maximum Analysis)  

Science Conference Proceedings (OSTI)

The STIP Project was instrumental in the coordination of multi-disciplinary ground-and -space-based synoptic observations and analysis of solar/interplanetary events during the period covered by the Solar Maximum Year and Solar Maximum Analysis. Eight STIP Intervals for coordinated studies were conducted during the SMY/SMA period starting with STIP Interval VII (August 1979) and ending with Interval XIV (20 May - 20 July 1982). These results increased our understanding and knowledge of a variety of phenomena including coronal mass ejections (CMEs) and their in situ shock wave detections within 1 AU; shock physics; acceleration of particles at variously classified shocks by V x B drift and Fermi mechanisms; magnetic clouds; interplanetary disturbances; x-ray imaging of preflare and flare-generated CMEs, and white light imaging of CMEs during SMY by both spacecraft and ground-based instruments. In addition, scientific progress was made on the tracking of disturbances (initiated by flares, eruptive prominences, and coronal holes) into interplanetary space as well as some of their consequences as observed at 1 AU and throughout the heliosphere.

Dryer, M.; Shea, M.A.

1986-01-01T23:59:59.000Z

424

What is the maximum rate at which entropy of a string can increase?  

Science Conference Proceedings (OSTI)

According to Susskind, a string falling toward a black hole spreads exponentially over the stretched horizon due to repulsive interactions of the string bits. In this paper such a string is modeled as a self-avoiding walk and the string entropy is found. It is shown that the rate at which information/entropy contained in the string spreads is the maximum rate allowed by quantum theory. The maximum rate at which the black hole entropy can increase when a string falls into a black hole is also discussed.

Ropotenko, Kostyantyn [State Administration of Communications, Ministry of Transport and Communications of Ukraine 22, Khreschatyk, 01001, Kyiv (Ukraine)

2009-03-15T23:59:59.000Z

425

Investigating the effects of the 1990 Clean Air Act Amendments on inputs to coal-fired power plants.  

E-Print Network (OSTI)

??This dissertation examines the effects of the 1990 Clean Air Act Amendments (CAAA) on inputs to coal-fired power plants. The 1990 CAAA established a system… (more)

Lange, Ian

2005-01-01T23:59:59.000Z

426

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

427

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.

428

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.

429

Application of a Linear Input/Output Model to Tankless Water Heaters  

DOE Green Energy (OSTI)

In this study, the applicability of a linear input/output model to gas-fired, tankless water heaters has been evaluated. This simple model assumes that the relationship between input and output, averaged over both active draw and idle periods, is linear. This approach is being applied to boilers in other studies and offers the potential to make a small number of simple measurements to obtain the model parameters. These parameters can then be used to predict performance under complex load patterns. Both condensing and non-condensing water heaters have been tested under a very wide range of load conditions. It is shown that this approach can be used to reproduce performance metrics, such as the energy factor, and can be used to evaluate the impacts of alternative draw patterns and conditions.

Butcher T.; Schoenbauer, B.

2011-12-31T23:59:59.000Z

430

Using light emitting diode arrays as touchsensitive input and output devices  

E-Print Network (OSTI)

Light Emitting Diodes (LEDs) offer long life, low cost, efficiency, brightness, and a full range of colors. Because of these properties, they are widely used for simple displays in electronic devices. A previously characterized, but little known property of LEDs allows them to be used as photo sensors. In this paper, we show how this capability can be used to turn unmodified, off the shelf, LED arrays into touch sensitive input devices (while still remaining capable of producing output). The technique is simple and requires little or no extra hardware – in some cases operating with the same micro-controller based circuitry normally used to produce output, requiring only software changes. We will describe a simple hybrid input/output device prototype implemented with this technique, and discuss the design opportunities that this type of device opens up. Categories and Subject Descriptors:

Scott E. Hudson

2004-01-01T23:59:59.000Z

431

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

E-Print Network (OSTI)

High Temperature Gas-cooled Reactors (HTGRs) can provide clean electricity,as well as process heat that can be used to produce hydrogen for transportation and other sectors. A prototypic HTGR, the Next Generation Nuclear Plant (NGNP),will be built at Idaho National Laboratory.The need for HTGR analysis tools and methods has led to the addition of gas-cooled reactor (GCR) capabilities to the light water reactor code MELCOR. MELCOR will be used by the Nuclear Regulatory Commission licensing of the NGNP and other HTGRs. In the present study, new input techniques have been developed for MELCOR HTGR analysis. These new techniques include methods for modeling radiation heat transfer between solid surfaces in an HTGR, calculating fuel and cladding geometric parameters for pebble bed and prismatic block-type HTGRs, and selecting appropriate input parameters for the reflector component in MELCOR. The above methods have been applied to input decks for a water-cooled reactor cavity cooling system (RCCS); the 400 MW Pebble Bed Modular Reactor (PBMR), the input for which is based on a code-to-code benchmark activity; and the High Temperature Test Facility (HTTF), which is currently in the design phase at Oregon State University. RCCS results show that MELCOR accurately predicts radiation heat transfer rates from the vessel but may overpredict convective heat transfer rates and RCCS coolant flow rates. PBMR results show that thermal striping from hot jets in the lower plenum during steady-state operations, and in the upper plenum during a pressurized loss of forced cooling accident, may be a major design concern. Hot jets could potentially melt control rod drive mechanisms or cause thermal stresses in plenum structures. For the HTTF, results will provide data to validate MELCOR for HTGR analyses. Validation will be accomplished by comparing results from the MELCOR representation of the HTTF to experimental results from the facility. The validation process can be automated using a modular code written in Python, which is described here.

Corson, James

2010-05-01T23:59:59.000Z

432

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

433

The Net Effect of Exchange Rates on Agricultural Inputs and Outputs  

E-Print Network (OSTI)

For more than thirty years, studies about the effect of the exchange rate on exports have been conducted. However, few have considered the combined effect of the exchange rate on imported inputs into the agricultural system and the exports of final agricultural products those inputs produce. This work contributes to the agricultural economics literature by combining those effects. A current concern is for the net effect as the total value and quantity of inputs imported has increased. This research examines the effect of the exchange rate on imported inputs into the corn, wheat, and beef cattle production systems, breaking it down to a producer's budget, examining how the exchange rate affects profitability. Vector Autoregression (VAR) and Bayesian Averaging of Classical Estimates (BACE) models were estimated to evaluate the effects. Daily and weekly price data were used for corn, wheat, feeder steers, ethanol, diesel, ammonia, urea, di-ammonium phosphate, and the exchange rate. A VAR model was estimated to model the relationship between the variables. After having incongruous test results in determining the lag length structure it was decided that a BACE model would be approximated. After estimating the BACE model, the price responses of the commodities to the exchange rates were estimated. The price responses were used in demonstrating the effect of the exchange rate on a producer's profitability. It was determined that, generally, a strengthening exchange rate has a negative impact on prices. It was also found that the exchange rate has a greater impact on prices now than it did 14 years ago, implying that the exchange rate now has a greater affect on profitability. A one percent increase in the value of the dollar led to a decline in profitability ranging from $0.02/bu in wheat to $0.56/cwt in feeder steers. However, agricultural producers should not be overly concerned about a lower valued dollar from the perspective of their agricultural business.

Johnson, Myriah D.

2011-08-01T23:59:59.000Z

434

Achieving maximum spatial diversity with decouple-and-forward relaying in dual-hop OSTBC transmissions  

Science Conference Proceedings (OSTI)

In this letter, we prove that decouple-and-forward (DCF) relaying for dual-hop orthogonal space-time block code (OSTBC) transmissions achieves the maximum diversity order attainable by dual-hop MIMO relaying systems. Decoupling at the relay transforms ... Keywords: OSTBC, decouple-and-forward relaying, diversity order, dual-hop MIMO system, rayleigh fading channels

In-Ho Lee; Dongwoo Kim

2010-03-01T23:59:59.000Z

435

GenDocSum+MCLR: Generic document summarization based on maximum coverage and less redundancy  

Science Conference Proceedings (OSTI)

With the rapid growth of information on the Internet and electronic government recently, automatic multi-document summarization has become an important task. Multi-document summarization is an optimization problem requiring simultaneous optimization ... Keywords: Differential evolution algorithm, Generic document summarization, Less redundancy, Maximum coverage, Optimization model

Rasim M. Alguliev; Ramiz M. Aliguliyev; Makrufa S. Hajirahimova

2012-11-01T23:59:59.000Z

436

Climates at the Last Glacial Maximum: Influence of Model Horizontal Resolution  

Science Conference Proceedings (OSTI)

The climate at the last glacial maximum (LGM) has been simulated using the U.K. Universities Global Atmospheric Modeling Programme (UGAMP) general circulation model (GCM) truncated at total wavenumbers 21, 42, and 63 (T21, T42, and T63) with ...

Buwen Dong; Paul J. Valdes

2000-05-01T23:59:59.000Z

437

Some further investigation on maximum throughput: does network coding really help?  

Science Conference Proceedings (OSTI)

Network coding has been shown to be the solution that allows to reach the theoretical maximum throughput in a capacitated telecommunication network [1]. It has also been shown to be a very appealing and practical alternative to routing-based approaches ...

Eric Gourdin; Yuhui Wang

2012-09-01T23:59:59.000Z

438

The Maximum-Likelihood Property of Estimators of Wave Parameters from Heave, Pitch, and Roll Buoys  

Science Conference Proceedings (OSTI)

It is shown that ocean-wave spectrum parameters obtained from spectra of time series measured with heave, pitch, and roll data buoys are maximum-likelihood (ML) estimators under certain assumptions about the wave field. A modified set of ML ...

Ingrid K. Glad; Harald E. Krogstad

1992-04-01T23:59:59.000Z

439

Why Is There a Tritium Maximum in the Central Equatorial Pacific Thermocline?  

Science Conference Proceedings (OSTI)

It is suggested that the tritium maximum in the central Pacific is caused by two water pathways across the North Equatorial Countercurrent (NECC), one from the central Pacific and the other from the Mindanao Current. It is argued that an interior ...

Zhengyu Liu; Boyin Huang

1998-07-01T23:59:59.000Z

440

Exact algorithms for maximum acyclic subgraph on a superclass of cubic graphs  

Science Conference Proceedings (OSTI)

Finding a maximum acyclic subgraph is on the list of problems that seem to be hard to tackle from a parameterized perspective. We develop two quite efficient algorithms (one is exact, the other parameterized) for (1, n)-graphs, a class containing ...

Henning Fernau; Daniel Raible

2008-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "vac maximum input" 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

A Technique to Determine the Radius of Maximum Wind of a Tropical Cyclone  

Science Conference Proceedings (OSTI)

A simple technique is developed that enables the radius of maximum wind of a tropical cyclone to be estimated from satellite cloud data. It is based on the characteristic cloud and wind structure of the eyewall of a tropical cyclone, after the ...

France Lajoie; Kevin Walsh

2008-10-01T23:59:59.000Z

442

A variable speed wind generator maximum power tracking based on adaptative neuro-fuzzy inference system  

Science Conference Proceedings (OSTI)

The power from wind varies depending on the environmental factors. Many methods have been proposed to locate and track the maximum power point (MPPT) of the wind, such as the fuzzy logic (FL), artificial neural network (ANN) and neuro-fuzzy. In this ... Keywords: ANFIS, MPPT, Power generation, Variable speed wind generator, Wind energy

A. Meharrar; M. Tioursi; M. Hatti; A. Boudghène Stambouli

2011-06-01T23:59:59.000Z

443

Probable Maximum Precipitation Study for Wisconsin and Michigan: Volume 2: Workbook and User's Guide  

Science Conference Proceedings (OSTI)

The study provides maps and supporting information on the probable maximum precipitation (PMP) for Wisconsin and Michigan. The refinement of PMP for the study area has typically lowered the PMP from the generalized values in Hydrometeorological Report (HMR) 51. The study followed HMR 51 procedures with some minor changes that apply to other regions.

1993-08-01T23:59:59.000Z

444

Maximum Power Transfer Tracking for a Photovoltaic-Supercapacitor Energy System  

E-Print Network (OSTI)

the power comes from a renewable source such a solar cell (photovoltaic, or PV for short) or a windmillMaximum Power Transfer Tracking for a Photovoltaic-Supercapacitor Energy System Younghyun Kim optimization from an energy generation source (e.g., a solar cell array) to an energy storage element (e

Pedram, Massoud

445

Maximum Power Point Tracking Control for Photovoltaic System Using Adaptive Neuro-Fuzzy  

E-Print Network (OSTI)

converter. II. MATHEMATICAL MODELING OF PHOTOVOLTAIC CELL A PV cell can be represented by an equivalentMaximum Power Point Tracking Control for Photovoltaic System Using Adaptive Neuro- Fuzzy "ANFIS availability and vast potential, world has turned to solar photovoltaic energy to meet out its ever increasing

Recanati, Catherine

446

Dynamical Reconstruction of Upper-ocean Conditions in the Last Glacial Maximum Atlantic  

Science Conference Proceedings (OSTI)

Proxies indicate that the Last Glacial Maximum (LGM) Atlantic Ocean was marked by increased meridional and zonal near-sea-surface temperature gradients relative to today. Using a least-squares fit of a full general circulation and sea-ice model to ...

Holly Dail; Carl Wunsch

447

Deployment guidelines for achieving maximum lifetime and avoiding energy holes in sensor network  

Science Conference Proceedings (OSTI)

The demand for maximum network lifetime in many mission-critical applications of wireless sensor networks motivates the great significance to deploy as few sensors as possible to achieve the expected network performance. In this paper, we first characterize ... Keywords: Adjustable transmission range, Energy-hole, Network lifetime, Node deployment, Wireless sensor network

Anfeng Liu; Xin Jin; Guohua Cui; Zhigang Chen

2013-05-01T23:59:59.000Z

448

New Techniques and Data Sources for Probable Maximum Precipitation: Volumes 1-4  

Science Conference Proceedings (OSTI)

Safety review of new and existing dams under the Federal Energy Regulatory Commission (FERC) requires evaluation of the probable maximum precipitation (PMP) at the site of the dam. This report shows how weather radar, satellite data sources, and paleohydrology analysis techniques can improve the estimation of PMP for regions or individual basins.

1993-05-01T23:59:59.000Z

449

New Techniques and Data Sources for Probable Maximum Precipitation: Volumes 1-4  

Science Conference Proceedings (OSTI)

Safety review of new and existing dams under the Federal Energy Regulatory Commission (FERC) requires evaluation of the probable maximum precipitation (PMP) at the site of the dam. This report shows how weather radar, satellite data sources, and paleohydrology analysis techniques can improve the estimation of PMP for regions or individual basins.

1993-09-25T23:59:59.000Z

450

Towards a frequency-dependent discrete maximum principle for the implicit Monte Carlo equations  

SciTech Connect

It has long been known that temperature solutions of the Implicit Monte Carlo (IMC) equations can exceed the external boundary temperatures, a so-called violation of the 'maximum principle.' Previous attempts at prescribing a maximum value of the time-step size {Delta}{sub t} that is sufficient to eliminate these violations have recommended a {Delta}{sub t} that is typically too small to be used in practice and that appeared to be much too conservative when compared to numerical solutions of the IMC equations for practical problems. In this paper, we derive a new estimator for the maximum time-step size that includes the spatial-grid size {Delta}{sub x}. This explicitly demonstrates that the effect of coarsening {Delta}{sub x} is to reduce the limitation on {Delta}{sub t}, which helps explain the overly conservative nature of the earlier, grid-independent results. We demonstrate that our new time-step restriction is a much more accurate means of predicting violations of the maximum principle. We discuss how the implications of the new, grid-dependent timestep restriction can impact IMC solution algorithms.

Wollaber, Allan B [Los Alamos National Laboratory; Larsen, Edward W [Los Alamos National Laboratory; Densmore, Jeffery D [Los Alamos National Laboratory

2010-12-15T23:59:59.000Z

451

Cosmic Ray Hits in the Central Nervous System at Solar Maximum  

Science Conference Proceedings (OSTI)

It has been suggested that a manned mission to Mars be launched at solar maximum rather than at solar minimum to minimize the radiation exposure to galactic cosmic rays. It is true that the number of hits from highly ionizing particles to critical regions ...

Curtis S. B.; Vazquez M. E.; Wilson J. W.; Kim M.-H. Y.

1998-07-01T23:59:59.000Z

452

Maximum power point tracking and optimal Li-ion battery charging control for photovoltaic charging system  

Science Conference Proceedings (OSTI)

Due to the severity of the global energy crisis and environmental pollution, the photovoltaic (PV) system has become one kind of important renewable energy source. Solar energy has the advantages of maximum reserve, inexhaustibleness, and is free from ... Keywords: Genetic algorithms (GA), Photovoltaic (PV), Variable Step Size Incremental Conductance method

Her-Terng Yau; Qin-Cheng Liang; Chin-Tsung Hsieh

2012-09-01T23:59:59.000Z

453

Bayesian Changepoint Analysis of the Annual Maximum of Daily and Subdaily Precipitation over South Korea  

Science Conference Proceedings (OSTI)

Bayesian changepoint analysis is applied to detect a change point in the 30-year (1976–2005) time series of the area-averaged annual maximum precipitation (A3MP) for the six accumulated time periods (1, 3, 6, 12, 24, and 48 h) over South Korea. ...

Chansoo Kim; Myoung-Seok Suh; Ki-Ok Hong

2009-12-01T23:59:59.000Z

454

Review article: Achieving maximum reliability in fault tolerant network design for variable networks  

Science Conference Proceedings (OSTI)

The objective of this paper is to present a novel method to achieve maximum reliability for fault tolerant optimal network design when network has variable size. Reliability calculation is most important and critical component when fault tolerant optimal ... Keywords: Fault tolerant optimal design, Fixed and varying link reliability, Maximizing reliability, Neural networks, Variable network size

B. Kaushik, N. Kaur, A. K. Kohli

2013-07-01T23:59:59.000Z

455

GEOMAGNETIC EFFECTS OF INTERPLANETARY SHOCK WAVES DURING SOLAR MINIMUM (1995-1996) AND SOLAR MAXIMUM (2000)  

E-Print Network (OSTI)

GEOMAGNETIC EFFECTS OF INTERPLANETARY SHOCK WAVES DURING SOLAR MINIMUM (1995-1996) AND SOLAR on geomagnetic activity, quantified by the maximum hourly Dst and tri-hourly ap indices, in a period of 3 days after the shock, are evaluated. Correlations between shock parameters and Dst and ap geomagnetic indices

456

Maximum CME speed as an indicator of solar and geomagnetic activities , V.B. Yurchyshyn1  

E-Print Network (OSTI)

Maximum CME speed as an indicator of solar and geomagnetic activities A. Kilcik1 , V.B. Yurchyshyn1 maximal speeds of coronal mass ejections (CMEs), international sunspot number (ISSN) and the geomagnetic indicator of both solar and geomagnetic activity. It may have advantages over the sunspot numbers, because

457

Impact of Aligning Climatological Day on Gridding Daily Maximum–Minimum Temperature and Precipitation over Canada  

Science Conference Proceedings (OSTI)

On 1 July 1961, the climatological day was redefined to end at 0600 UTC at all principal climate stations in Canada. Prior to that, the climatological day at principal stations ended at 1200 UTC for maximum temperature and precipitation and 0000 ...

Ron F. Hopkinson; Daniel W. McKenney; Ewa J. Milewska; Michael F. Hutchinson; Pia Papadopol; Lucie A. Vincent

2011-08-01T23:59:59.000Z

458

Design of wind farm layout for maximum wind energy capture Andrew Kusiak*, Zhe Song  

E-Print Network (OSTI)

Design of wind farm layout for maximum wind energy capture Andrew Kusiak*, Zhe Song Intelligent sources of alternative energy. The construction of wind farms is destined to grow in the U.S., possibly twenty-fold by the year 2030. To maximize the wind energy capture, this paper presents a model for wind

Kusiak, Andrew

459

Wide input range DC-DC converter with digital control scheme  

E-Print Network (OSTI)

In this thesis analysis and design of a wide input range DC-DC converter is proposed along with a robust power control scheme. The proposed converter and its control is designed to be compatible to a fuel cell power source, which exhibits 2:1 voltage variation as well as a slow transient response. The proposed approach consists of two stages: a primary three-level boost converter stage cascaded with a high frequency, isolated boost converter topology, which provides a higher voltage gain and isolation from the input source. The function of the first boost converter stage is to maintain a constant voltage at the input of the cascaded DC-DC converter to ensure optimal performance characteristics with high efficiency. At the output of the first boost converter a battery or ultracapacitor energy storage is connected to take care of the fuel cell slow transient response (200 watts/min). The robust features of the proposed control system ensure a constant output DC voltage for a variety of load fluctuations, thus limiting the power being delivered by the fuel cell during a load transient. Moreover, the proposed configuration simplifies the power control management and can interact with the fuel cell controller. The simulation results and the experimental results confirm the feasibility of the proposed system.

Harfman Todorovic, Maja

2004-12-01T23:59:59.000Z

460

Precoding by Pairing Subchannels to Increase MIMO Capacity With Discrete Input Alphabets  

E-Print Network (OSTI)

Abstract—We consider Gaussian multiple-input multiple-output (MIMO) channels with discrete input alphabets. We propose a nondiagonal precoder based on the X-Codes in [1] to increase the mutual information. The MIMO channel is transformed into a set of parallel subchannels using singular value decomposition (SVD) and X-Codes are then used to pair the subchannels. X-Codes are fully characterized by the pairings and a 2 2 2 real rotation matrix for each pair (parameterized with a single angle). This precoding structure enables us to express the total mutual information as a sum of the mutual information of all the pairs. The problem of finding the optimal precoder with the above structure, which maximizes the total mutual information, is solved by: i) optimizing the rotation angle and the power allocation within each pair and ii) finding the optimal pairing and power allocation among the pairs. It is shown that the mutual information achieved with the proposed pairing scheme is very close to that achieved with the optimal precoder by Cruz et al., and is significantly better than Mercury/waterfilling strategy by Lozano et al. Our approach greatly simplifies both the precoder optimization and the detection complexity, making it suitable for practical applications. Index Terms—Condition number, multiple-input multiple-output (MIMO), mutual information, orthogonal frequency division multiplexing (OFDM), precoding, singular value decomposition (SVD). I.

Saif Khan Mohammed; Emanuele Viterbo; Yi Hong; Senior Member; Ananthanarayanan Chockalingam; Senior Member

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "vac maximum input" 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

Numerical maximum likelihood estimation for the g-and-k and generalized g-and-h distributions  

Science Conference Proceedings (OSTI)

Continuing increases in computing power and availability mean that many maximum likelihood estimation (MLE) problems previously thought intractable or too computationally difficult can now be tackled numerically. However, ML parameter estimation for ... Keywords: g-and-k distribution, generalized g-and-h distribution, maximum likelihood estimation (MLE), numerical maximum likelihood estimation (NMLE), quantile distributions

G. D. Rayner; H. L. MacGillivray

2002-01-01T23:59:59.000Z

462

A single inductor dual input dual output DC-DC converter with hybrid supplies for solar energy harvesting applications  

Science Conference Proceedings (OSTI)

A single inductor dual input dual output (SIDIDO) DC-DC converter is proposed for solar energy harvesting applications. The converter supports hybrid power supplies from both the photovoltaic (PV) cells and the rechargeable battery. Apart from the conventional ... Keywords: DC-DC converter, MPPT, PV cells, dual-input-dual-output, energy harvesting, single inductor

Hui Shao; Chi-Ying Tsui; Wing-Hung Ki

2009-08-01T23:59:59.000Z

463

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

Science Conference Proceedings (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 as a spurious result ...

Xiaoming Zhai; Carl Wunsch

2013-06-01T23:59:59.000Z

464

Economic Effect on Agricultural Production of Alternative Energy Input Prices: Texas High Plains  

E-Print Network (OSTI)

The Arab oil embargo of 1973 awakened the world to the reality of energy shortages and higher fuel prices. Agriculture in the United States is highly mechanized and thus energy intensive. This study seeks to develop an evaluative capability to readily determine the short-run effect of rising energy prices on agricultural production. The results are measured in terms of demand schedules for each input investigated, net revenue adjustments, cropping pattern shifts, and changes in agricultural output. The High Plains of Texas was selected as a study area due to the heterogeneous nature of agricultural production in the region and highly energy intensive methods of production employed. The region is associated with a diversity in crops and production practices as well as a high degree of mechanization and irrigation, which means agriculture is very dependent upon energy inputs and, in turn, is significantly affected by energy price changes. The study area was defined by the Texas Agricultural Extension subregions of High Plains II, High Plains III, and High Plains IV. The crops chosen for study were cotton, grain sorghum, wheat, corn, and soybeans. The energy and energy-related inputs under investigation were diesel, herbicide, natural gas, nitrogen fertilizer, and water. Mathematical linear programming was used as the analytical technique with parametric programming techniques incorporated into the LP model to evaluate effect of varying input price parameters over a specified range. Thus, demand schedules were estimated. The objective function was constructed using variable costs only; no fixed costs are considered. Therefore, the objective function maximizes net revenue above variable costs and thus limits the study to the short run. The data bases for the model were crop enterprise budgets developed by the Texas Agricultural Extension Service. These budgets were modified to adapt them to the study. Particularly important was the substitution of owner-operated harvesting equipment for custom-harvesting costs. This procedure made possible the delineation of fuel use by crop and production alternative which was necessary information in the accounting of costs. The completed LP model was applied to 16 alternative situations made up of various input and product price combinations which are considered as feasible in the short run future. The results reveal that diesel consumption would change very little in the short run unless commodity prices simultaneously decline below the lowest prices since 1971 or unless diesel price approaches $2.00 per gallon. Under average commodity price conditions, natural gas consumption would not decline appreciably until the price rose above $4.00 per 1000 cubic feet (mcf). Even when using the least product prices since 1971, natural gas would be consumed in substantial amounts as long as the price was below $1.28 per Mcf. The findings regarding nitrogen indicate that present nitrogen prices are within a critical range such that consumption would be immediately affected by nitrogen price increases. Water price was considered as the price a farmer can afford to pay for water above pumping and distribution costs. Application of water was defined as the price that would be paid for imported water. Under average commodity price conditions, the study results show that as water price rises from zero dollars to $22 per acre foot there would be less than a 4 percent reduction in consumption. However, as the price continues to rise, consumption would decline dramatically reaching zero at a water price of $71.75 per acre foot. This study indicates that rising input prices would cause acreage shifts from irrigated to dryland; however, with average commodity prices, these shifts do not occur until diesel reaches $2.69 per gallon, or natural gas sells for $1.92 per Mcf, or nitrogen price is $.41 per pound, or water price reaches $14.69 per acre foot. In general, the first crops that would shift out of production as energy input prices rise woul

Adams, B. M.; Lacewell, R. D.; Condra, G. D.

1976-06-01T23:59:59.000Z

465

Analog Integrated Circuits and Signal Processing, 42, 231–238, 2005 c ? 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands. Cascode Monolithic DC-DC Converter for Reliable Operation at High Input Voltages  

E-Print Network (OSTI)

Abstract. A cascode bridge circuit for monolithic switching DC-DC converters operating at high input voltages is proposed in this paper. The proposed circuit can also be used as an I/O buffer to interface circuits operating at significantly different voltages. The circuit technique permits the full integration of the active and passive devices of a switching DC-DC converter with a high voltage conversion ratio in a standard low voltage CMOS technology. The cascode bridge structure guarantees the reliable operation of deep submicrometer MOSFETs without exposure to high voltage stress while operating at high input and output voltages. With the proposed circuit technique, steady-state voltage differences between the terminals of all of the MOSFETs in a switching DC-DC converter are maintained within a range imposed by a target low voltage CMOS technology. High-to-low DC-DC converters operating at input voltages up to three times as high as the maximum voltage that can be directly applied across the terminals of a MOSFET are described. An efficiency of 79.6 % is achieved for 5.4 volts to 0.9 volts conversion assuming a 0.18 µm CMOS technology. The DC-DC converter operates at a switching frequency of 97 MHz while supplying a DC current of 250 mA to the load. Key Words: low voltage DC-DC converters, monolithic voltage regulators, low voltage CMOS technology, MOSFET reliability issues, high voltage stress 1.

Volkan Kursun; Siva G. Narendra; Vivek K. De; Eby G. Friedman

2004-01-01T23:59:59.000Z

466

Enhancement of maximum attainable ion energy in the radiation pressure acceleration regime using a guiding structure  

E-Print Network (OSTI)

Radiation Pressure Acceleration relies on high intensity laser pulse interacting with solid target to obtain high maximum energy, quasimonoenergetic ion beams. Either extremely high power laser pulses or tight focusing of laser radiation is required. The latter would lead to the appearance of the maximum attainable ion energy, which is determined by the laser group velocity and is highly influenced by the transverse expansion of the target. Ion acceleration is only possible with target velocities less than the group velocity of the laser. The transverse expansion of the target makes it transparent for radiation, thus reducing the effectiveness of acceleration. Utilization of an external guiding structure for the accelerating laser pulse may provide a way of compensating for the group velocity and transverse expansion effects.

Bulanov, S S; Schroeder, C B; Bulanov, S V; Esirkepov, T Zh; Kando, M; Pegoraro, F; Leemans, W P

2013-01-01T23:59:59.000Z

467

EVSE Features Power Button for Zero Consumption Auto-restart  

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

Button for Zero Consumption Auto-restart Button for Zero Consumption Auto-restart Multi Colored Charge Indicator Led Power Indicator EVSE Specifications Grid connection Plug and cord NEMA 6-50 Connector type J1772 Test lab certifications ETL Listed Approximate size (H x W x D inches) 16 x 24 x 6 Charge level AC Level 2 Input voltage 208-240 VAC Maximum input current 30 Amp Circuit breaker rating 40 Amp Test Conditions 1 Test date 10/29/2012 Nominal supply voltage (Vrms) 208.38 Supply frequency (Hz) 59.99 Initial ambient temperature (°F) 64 Test Vehicle 1,3 Make and model 2012 Chevrolet Volt Battery type Li-ion Steady state charge power (AC kW) 3.07 Maximum charge power (AC kW) 3.32 EVSE Test Results

468

EVSE Features Charge Delay Option Power Light Indicator Eight-segment Progress Indicator Auto-restart  

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

Charge Delay Option Power Light Indicator Charge Delay Option Power Light Indicator Eight-segment Progress Indicator Auto-restart EVSE Specifications Grid connection Plug and cord NEMA 6-50 Connector type J1772 Test lab certifications UL Listed Approximate size (H x W x D inches) 10 x 13 x 4 Charge level AC Level 2 Input voltage 240 VAC Maximum input current 30 Amp Circuit breaker rating 40 Amp Test Conditions 1 Test date 10/30/2012 Nominal supply voltage (Vrms) 209.04 Supply frequency (Hz) 59.99 Initial ambient temperature (°F) 64 Test Vehicle 1,3 Make and model 2012 Chevrolet Volt Battery type Li-ion Steady state charge power (AC kW) 3.09 Maximum charge power (AC kW) 3.20 EVSE Test Results 1,2,4

469

EVSE Features Low and High Current Settings Integrated Flashlight  

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

Low and High Current Settings Integrated Flashlight Low and High Current Settings Integrated Flashlight Auto-restart EVSE Specifications Grid connection Plug and cord NEMA 5-15 Connector type J1772 Test lab certifications ETL Listed Approximate size (H x W x D inches) 16 x 9 x 4 Charge level AC Level 1 Input voltage 120 VAC Maximum input current 12 Amp Circuit breaker rating 20 Amp Test Conditions 1 Test date 9/4/2012 Nominal supply voltage (Vrms) 117.05 Supply frequency (Hz) 59.99 Initial ambient temperature (°F) 58 Test Vehicle 1,3 Make and model 2012 Chevrolet Volt Battery type Li-ion Steady state charge power (AC kW) 1.36 Maximum charge power (AC kW) 1.45 EVSE Test Results 1,2,4 EVSE consumption prior to charge (AC W) 3.6

470

EVSE Features  

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

Integrated Flashlight 25ft of coiled cable Integrated Flashlight 25ft of coiled cable Auto-reset EVSE Specifications Grid connection Hardwired Connector type J1772 Test lab certifications ETL Listed Approximate size (H x W x D inches) 10 x 15 x 5 Charge level AC Level 2 Input voltage 208 / 240 VAC Maximum input current 15 Amp Circuit breaker rating 20 Amp Test Conditions 1 Test date 3/29/2012 Nominal supply voltage (Vrms) 243.11 Supply frequency (Hz) 60.01 Initial ambient temperature (°F) 64 Test Vehicle 1,3 Make and model 2011 Chevrolet Volt Battery type Li-ion Steady state charge power (AC kW) 3.33 Maximum charge power (AC kW) 3.39 EVSE Test Results 1,2,4

471

Global convergence of diluted iterations in maximum-likelihood quantum tomography  

E-Print Network (OSTI)

In this paper we present an inexact stepsize selection for the Diluted R\\rho R algorithm, used to obtain the maximum likelihood estimate to the density matrix in quantum state tomography. We give a new interpretation for the diluted R\\rho R iterations that allows us to prove the global convergence under weaker assumptions. Thus, we propose a new algorithm which is globally convergent and suitable for practical implementation.

D. S. Gonçalves; M. A. Gomes-Ruggiero; C. Lavor

2013-06-13T23:59:59.000Z

472

ccsd-00016436,version1-4Jan2006 Maximum pseudo-likelihood estimator for  

E-Print Network (OSTI)

point processes By Jean-Michel Billiot1 , Jean-Fran¸cois Coeurjolly1,2 and R´emy Drouilhet1 Labsad. 2 Corresponding author 1 #12;2 J.-M. Billiot, J.-F. Coeurjolly and R. Drouilhet Abstract This paper the effectiveness of maximum #12;4 J.-M. Billiot, J.-F. Coeurjolly and R. Drouilhet pseudo-likelihood estimator. 2

Paris-Sud XI, Université de

473

Maximum pseudolikelihood estimator for exponential family models of marked Gibbs point processes  

E-Print Network (OSTI)

This paper is devoted to the estimation of a vector $\\bm {\\theta}$ parametrizing an energy function of a Gibbs point process, via the maximum pseudolikelihood method. Strong consistency and asymptotic normality results of this estimator depending on a single realization are presented. In the framework of exponential family models, sufficient conditions are expressed in terms of the local energy function and are verified on a wide variety of examples.

Billiot, Jean-Michel; Drouilhet, Rémy

2008-01-01T23:59:59.000Z

474

U.S. Maximum Number of Active Crews Engaged in Seismic Surveying (Number of  

Gasoline and Diesel Fuel Update (EIA)

Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) U.S. Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2000 0 0 62 63 59 63 58 61 59 63 62 65 2001 61 61 63 65 64 60 58 56 54 58 59 58 2002 54 57 54 50 51 50 52 50 56 57 50 43 2003 40 41 41 40 38 39 41 43 39 39 38 42 2004 43 45 45 45 44 49 48 49 48 48 49 50 2005 52 53 51 50 55 57 54 55 56 57 57 58 2006 55 57 59 58 58 57 66 62 63 64 65 64 2007 63 63 68 71 70 69 69 71 73 77 79 75 2008 76 77 75 72 73 73 72 72 NA 77 72 73 2009 75 76 72 70 65 60 61 60 60 63 62 63 2010 64 65 63 66 67 67 67 65 64 62 62 62

475

THE FIRST MAXIMUM-LIGHT ULTRAVIOLET THROUGH NEAR-INFRARED SPECTRUM OF A TYPE Ia SUPERNOVA  

Science Conference Proceedings (OSTI)

We present the first maximum-light ultraviolet (UV) through near-infrared (NIR) Type Ia supernova (SN Ia) spectrum. This spectrum of SN 2011iv was obtained nearly simultaneously by the Hubble Space Telescope at UV/optical wavelengths and the Magellan Baade telescope at NIR wavelengths. These data provide the opportunity to examine the entire maximum-light SN Ia spectral energy distribution. Since the UV region of an SN Ia spectrum is extremely sensitive to the composition of the outer layers of the explosion, which are transparent at longer wavelengths, this unprecedented spectrum can provide strong constraints on the composition of the SN ejecta, and similarly the SN explosion and progenitor system. SN 2011iv is spectroscopically normal, but has a relatively fast decline ({Delta}m{sub 15}(B) = 1.69 {+-} 0.05 mag). We compare SN 2011iv to other SNe Ia with UV spectra near maximum light and examine trends between UV spectral properties, light-curve shape, and ejecta velocity. We tentatively find that SNe with similar light-curve shapes but different ejecta velocities have similar UV spectra, while those with similar ejecta velocities but different light-curve shapes have very different UV spectra. Through a comparison with explosion models, we find that both a solar-metallicity W7 and a zero-metallicity delayed-detonation model provide a reasonable fit to the spectrum of SN 2011iv from the UV to the NIR.

Foley, Ryan J.; Marion, G. Howie; Challis, Peter; Kirshner, Robert P.; Berta, Zachory K. [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); Kromer, Markus; Taubenberger, Stefan; Hillebrandt, Wolfgang; Roepke, Friedrich K.; Ciaraldi-Schoolmann, Franco; Seitenzahl, Ivo R. [Max-Planck-Institut fuer Astrophysik, Karl-Schwarzschild-Strasse 1, D-85748 Garching bei Muenchen (Germany); Pignata, Giuliano [Departamento de Ciencias Fisicas, Universidad Andres Bello, Avda. Republica 252, Santiago (Chile); Stritzinger, Maximilian D. [Department of Physics and Astronomy, Aarhus University, Ny Munkegade, DK-8000 Aarhus C (Denmark); Filippenko, Alexei V.; Li Weidong; Silverman, Jeffrey M. [Department of Astronomy, University of California, Berkeley, CA 94720-3411 (United States); Folatelli, Gaston [Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU, WPI), Todai Institutes for Advanced Study, University of Tokyo, Kashiwa 277-8583 (Japan); Hsiao, Eric Y.; Morrell, Nidia I. [Carnegie Observatories, Las Campanas Observatory, La Serena (Chile); Simcoe, Robert A., E-mail: rfoley@cfa.harvard.edu [MIT-Kavli Institute for Astrophysics and Space Research, 77 Massachusetts Avenue, 37-664D Cambridge, MA 02139 (United States); and others

2012-07-01T23:59:59.000Z

476

Hybrid energy storage systems based on compressed air and supercapacitors with maximum efficiency point tracking  

E-Print Network (OSTI)

This paper presents a hybrid energy storage system based on Compressed Air Energy Storage (CAES), where the charging and discharging is done within maximum efficiency conditions. As the maximum efficiency conditions impose the level of converted power, an intermittent time-modulated operation mode is applied to the thermodynamic converter to obtain a variable converted power. A smoothly variable output power is achieved with the help of a supercapacitive auxiliary storage device used as a filter. The paper describes the concept of the system, the power-electronic interface circuits and especially the Maximum Efficiency Point Tracking (MEPT) algorithm and the strategy used to vary the output power. In addition, the paper will present the characteristics of a high efficiency storage device where the pure pneumatic machine is replaced by an oil-hydraulics and pneumatics converter, used under isothermal conditions. Practical results are also presented, recorded from a low-power pneumatic motor coupled to a small DC generator, as well as from a first prototype of the final hydraulic/pneumatic system.

Sylvain Lemofouet; Alfred Rufer

2005-01-01T23:59:59.000Z

477

Maximum Neutral Buoyancy Depth of Juvenile Chinook Salmon: Implications for Survival during Hydroturbine Passage  

Science Conference Proceedings (OSTI)

This study investigated the maximum depth at which juvenile Chinook salmon Oncorhynchus tshawytscha can acclimate by attaining neutral buoyancy. Depth of neutral buoyancy is dependent upon the volume of gas within the swim bladder, which greatly influences the occurrence of injuries to fish passing through hydroturbines. We used two methods to obtain maximum swim bladder volumes that were transformed into depth estimations - the increased excess mass test (IEMT) and the swim bladder rupture test (SBRT). In the IEMT, weights were surgically added to the fishes exterior, requiring the fish to increase swim bladder volume in order to remain neutrally buoyant. SBRT entailed removing and artificially increasing swim bladder volume through decompression. From these tests, we estimate the maximum acclimation depth for juvenile Chinook salmon is a median of 6.7m (range = 4.6-11.6 m). These findings have important implications to survival estimates, studies using tags, hydropower operations, and survival of juvenile salmon that pass through large Kaplan turbines typical of those found within the Columbia and Snake River hydropower system.

Pflugrath, Brett D.; Brown, Richard S.; Carlson, Thomas J.

2012-03-01T23:59:59.000Z

478

A novel maximum power point tracker for PV panels using switching frequency modulation  

E-Print Network (OSTI)

Abstract—A novel technique for efficiently extracting maximum power from photovoltaic (PV) panels is presented. The power conversion stage, which is connected between a PV panel and a load or bus, is a SEPIC or Cuk converter or their derived circuits operating in discontinuous inductor–current or capacitor–voltage mode. Method of locating the maximum power point (MPP) is based on injecting a small-signal sinusoidal perturbation into the switching frequency and comparing the ac component and the average value of the panel terminal voltage. Apart from not requiring any sophisticated digital computation of the panel power, the proposed technique does not approximate the panel characteristics and can globally locate the MPP under wide insolation conditions. The tracking capability has been verified experimentally with a 10 W solar panel under a controlled experimental setup. Performances under the steady state and in the large-signal change of the insolation level will be given. Index Terms—DC–DC power conversion, maximum-powerpoint tracking, photovoltaic. I.

K. K. Tse; M. T. Ho; Student Member; Henry S. -h. Chung; S. Y. (ron Hui; Senior Member

2002-01-01T23:59:59.000Z

479

Table A37. Total Inputs of Energy for Heat, Power, and Electricity  

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

2" 2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,,,"Distillate",,,"(excluding" ,,,,"Fuel Oil",,,"Coal Coke",,"RSE" ,,"Net","Residual","and Diesel",,,"and",,"Row" "End-Use Categories","Total","Electricity(a)","Fuel Oil","Fuel(b)","Natural Gas(c)","LPG","Breeze)","Other(d)","Factors" "Total United States" "RSE Column Factors:","NF",0.4,1.6,1.5,0.7,1,1.6,"NF" "TOTAL INPUTS",15027,2370,414,139,5506,105,1184,5309,3 "Boiler Fuel","--","W",296,40,2098,18,859,"--",3.6

480

Table A11. Total Inputs of Energy for Heat, Power, and Electricity Generatio  

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

2" 2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,,,"Distillate",,,"(excluding" ,,,,"Fuel Oil",,,"Coal Coke",,"RSE" ,,"Net","Residual","and Diesel",,,"and",,"Row" "End-Use Categories","Total","Electricity(a)","Fuel Oil","Fuel(b)","Natural Gas(c)","LPG","Breeze)","Other(d)","Factors" ,"Total United States" "RSE Column Factors:"," NF",0.5,1.3,1.4,0.8,1.2,1.2," NF" "TOTAL INPUTS",16515,2656,441,152,6141,99,1198,5828,2.7 "Indirect Uses-Boiler Fuel"," --",28,313,42,2396,15,875," --",4

Note: This page contains sample records for the topic "vac maximum input" 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

Table A12. Selected Combustible Inputs of Energy for Heat, Power, and  

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

Type" Type" " and End Use, 1994: Part 2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,,"Residual","Distillate",,,"(excluding","RSE" "SIC",,"Net Demand","Fuel","Fuel Oil and","Natural",,"Coal Coke","Row" "Code(a)","End-Use Categories","for Electricity(b)","Oil","Diesel Fuel(c)","Gas(d)","LPG","and Breeze)","Factors" "20-39","ALL INDUSTRY GROUPS" ,"RSE Column Factors:",0.5,1.4,1.4,0.8,1.2,1.2 ,"TOTAL INPUTS",3132,441,152,6141,99,1198,2.4

482

Table A38. Selected Combustible Inputs of Energy for Heat, Power, and  

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

2" 2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,"Net Demand","Residual","Distillate",,,"(excluding","RSE" "SIC",,"for Electri-","Fuel","Fuel Oil and","Natural",,"Coal Coke","Row" "Code","End-Use Categories","city(b)","Oil","Diesel Fuel(c)","Gas(d)","LPG","and Breeze)","Factors" "20-39","ALL INDUSTRY GROUPS" ,"RSE Column Factors:",0.4,1.7,1.5,0.7,1,1.6 ,"TOTAL INPUTS",2799,414,139,5506,105,1184,3 ,"Boiler Fuel",32,296,40,2098,18,859,3.6 ,"Total Process Uses",2244,109,34,2578,64,314,4.1

483

Procedure for developing biological input for the design, location, or modification of water-intake structures  

Science Conference Proceedings (OSTI)

To minimize adverse impact on aquatic ecosystems resulting from the operation of water intake structures, design engineers must have relevant information on the behavior, physiology and ecology of local fish and shellfish. Identification of stimulus/response relationships and the environmental factors that influence them is the first step in incorporating biological information in the design, location or modification of water intake structures. A procedure is presented in this document for providing biological input to engineers who are designing, locating or modifying a water intake structure. The authors discuss sources of stimuli at water intakes, historical approaches in assessing potential/actual impact and review biological information needed for intake design.

Neitzel, D.A.; McKenzie, D.H.

1981-12-01T23:59:59.000Z

484

RELAP5/MOD3 code manual: User`s guide and input requirements. Volume 2  

Science Conference Proceedings (OSTI)

The RELAP5 code has been developed for best estimate transient simulation of light water reactor coolant systems during postulated accidents. The code models the coupled behavior of the reactor coolant system and the core for loss-of-coolant accidents, and operational transients, such as anticipated transient without scram, loss of offsite power, loss of feedwater, and loss of flow. A generic modeling approach is used that permits simulating a variety of thermal hydraulic systems. Control system and secondary system components are included to permit modeling of plant controls, turbines, condensers, and secondary feedwater systems. Volume II contains detailed instructions for code application and input data preparation.

NONE

1995-08-01T23:59:59.000Z

485

Input Price Risk and Optimal Timing of Energy Investment: Choice between Fossil- and Biofuels  

E-Print Network (OSTI)

Ve consider energy investment, when a choice has to be made between fossil fuel and biomass fired production technologies. A dynamic model is presented to illustrate the effect of the different degrees of input price uncer- tainty on the choice of technolog2 and the timing of the investment. It is shown that when the choice of technology is irreversible, it may be optimal to postpone the investment even if it would otherwise be optimal to invest in one or both of the plant types. Ve provide a numerical example based on cost estimates of two different power plant types.

Pauli Murto; Gjermund Nese

2002-01-01T23:59:59.000Z

486

Input-independent, Scalable and Fast String Matching on the Cray XMT  

Science Conference Proceedings (OSTI)

String searching is at the core of many security and network applications like search engines, intrusion detection systems, virus scanners and spam ?lters. The growing size of on-line content and the increasing wire speeds push the need for fast, and often real- time, string searching solutions. For these conditions, many software implementations (if not all) targeting conventional cache-based microprocessors do not perform well. They either exhibit overall low performance or exhibit highly variable performance depending on the types of inputs. For this reason, real-time state of the art solutions rely on the use of either custom hardware or Field-Programmable Gate Arrays (FPGAs) at the expense of overall system ?exibility and programmability. This paper presents a software based implementation of the Aho-Corasick string searching algorithm on the Cray XMT multithreaded shared memory machine. Our so- lution relies on the particular features of the XMT architecture and on several algorith- mic strategies: it is fast, scalable and its performance is virtually content-independent. On a 128-processor Cray XMT, it reaches a scanning speed of ? 28 Gbps with a performance variability below 10 %. In the 10 Gbps performance range, variability is below 2.5%. By comparison, an Intel dual-socket, 8-core system running at 2.66 GHz achieves a peak performance which varies from 500 Mbps to 10 Gbps depending on the type of input and dictionary size.

Villa, Oreste; Chavarría-Miranda, Daniel; Maschhoff, Kristyn J.

2009-05-25T23:59:59.000Z

487

Explicitly integrating parameter, input, and structure uncertainties into Bayesian Neural Networks for probabilistic hydrologic forecasting  

SciTech Connect

Estimating uncertainty of hydrologic forecasting is valuable to water resources and other relevant decision making processes. Recently, Bayesian Neural Networks (BNNs) have been proved powerful tools for quantifying uncertainty of streamflow forecasting. In this study, we propose a Markov Chain Monte Carlo (MCMC) framework to incorporate the uncertainties associated with input, model structure, and parameter into BNNs. This framework allows the structure of the neural networks to change by removing or adding connections between neurons and enables scaling of input data by using rainfall multipliers. The results show that the new BNNs outperform the BNNs that only consider uncertainties associated with parameter and model structure. Critical evaluation of posterior distribution of neural network weights, number of effective connections, rainfall multipliers, and hyper-parameters show that the assumptions held in our BNNs are not well supported. Further understanding of characteristics of different uncertainty sources and including output error into the MCMC framework are expected to enhance the application of neural networks for uncertainty analysis of hydrologic forecasting.

Zhang, Xuesong; Liang, Faming; Yu, Beibei; Zong, Ziliang

2011-11-09T23:59:59.000Z

488

EVSE Features  

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UL listed UL listed Approximate size (H x W x D inches) 17 x 14 x 6 Charge level AC Level 2 Input voltage 208VAC to 240 VAC Maximum input current 32 Amp Circuit breaker rating 40 Amp Test Conditions 1 Test date 2/1/2012 Nominal supply voltage (Vrms) 208.89 Supply frequency (Hz) 60.00 Initial ambient temperature (°F) 52 Test Vehicle 1,3 Make and model 2011 Chevrolet Volt Battery type Li-ion Steady state charge power (AC kW) 3.06 Maximum charge power (AC kW) 3.21 EVSE Test Results 1,2,4 EVSE consumption prior to charge (AC W) 3.21 EVSE consumption during steady state charge (AC W) 23.75 EVSE consumption post charge (AC W) 3.26 Efficiency during steady state charge 99.24% NOTE: Charge start and charge end power demand curves are dependent upon the vehicle

489

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

E-Print Network (OSTI)

Agriculture is a major income-producing sector in the Texas economy and a large part of this economic activity originates in irrigated crop production. For example, in 1973, 50% of all grain sorghum and 46% of all cotton in Texas were produced on irrigated acreage [Texas Crop and Livestock Reporting Service]. These two crops alone produced 26% of the cash receipts from the sale of Texas farm commodities in 1973 [Texas Crop and Livestock Reporting Service]. There are several other crops in Texas including vegetables which generate significant levels of income and rely heavily on irrigation. Further there are several associated industries which rely on production from irrigated agriculture, such as the cattle feeding industry in the Texas Panhandle. It is evident from this rather cursory examination of statistics that irrigation plays a large role in Texas agriculture. Both producers and policy-makers have found themselves faced in the past two years with many uncertainties. The U.S., plagued in the past with surplus production and supply control problems, now finds itself in a world shortage of food products. The long range signals seem to call for increased production, yet the policy-maker faces decisions concerning not only how to increase production, but more basically, how to maintain current levels of production. Groundwater resources in many areas are being diminished and annual irrigation water supplies fully committed in other areas. Long run planning for Texas agriculture requires that interbasin transfers of water be evaluated. Texas holds a position of prominence in the production of U.S. food and fiber products, and the evaluation of these alternatives has implications not only for Texas, but for the U.S. and possibly the world. To objectively evaluate water transfer proposals, it is necessary that the value of irrigation water in different regions of Texas be established. The producer faces the same call for maintaining or increasing production as the policy-maker, but he does so with many uncertainties which often have not disturbed the policy-maker in evaluating alternatives. Product prices have risen and fallen at an unprecedented rate while input prices have steadily risen at rates which preclude realistic budgeting. For example, during the recent energy crisis, the prices of fuel and fertilizer have more than doubled. These variable input and product prices weigh heavily upon production decisions by the producer, and likewise must receive serious consideration in evaluation of resource allocation alternatives by policy-makers. The demand for irrigation water is derived from the production of crops and any change in production patterns, input prices or availability, and product prices directly affects this demand. Current and future water resources planning requires an estimate of the various quantities of water which will be used for irrigation under differing assumptions concerning price of water, other input prices, and product prices. Of particular importance are shifts in cropping patterns, changes in level of agricultural production and net effect on producers income. Since many policy decisions are made in relatively short periods of time, there is an urgent need for a capability to evaluate alternative policies and change input or product prices in a timely fashion.

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

1976-06-01T23:59:59.000Z

490

MAXIMUM CORONAL MASS EJECTION SPEED AS AN INDICATOR OF SOLAR AND GEOMAGNETIC ACTIVITIES  

Science Conference Proceedings (OSTI)

We investigate the relationship between the monthly averaged maximal speeds of coronal mass ejections (CMEs), international sunspot number (ISSN), and the geomagnetic Dst and Ap indices covering the 1996-2008 time interval (solar cycle 23). Our new findings are as follows. (1) There is a noteworthy relationship between monthly averaged maximum CME speeds and sunspot numbers, Ap and Dst indices. Various peculiarities in the monthly Dst index are correlated better with the fine structures in the CME speed profile than that in the ISSN data. (2) Unlike the sunspot numbers, the CME speed index does not exhibit a double peak maximum. Instead, the CME speed profile peaks during the declining phase of solar cycle 23. Similar to the Ap index, both CME speed and the Dst indices lag behind the sunspot numbers by several months. (3) The CME number shows a double peak similar to that seen in the sunspot numbers. The CME occurrence rate remained very high even near the minimum of the solar cycle 23, when both the sunspot number and the CME average maximum speed were reaching their minimum values. (4) A well-defined peak of the Ap index between 2002 May and 2004 August was co-temporal with the excess of the mid-latitude coronal holes during solar cycle 23. The above findings suggest that the CME speed index may be a useful indicator of both solar and geomagnetic activities. It may have advantages over the sunspot numbers, because it better reflects the intensity of Earth-directed solar eruptions.

Kilcik, A.; Yurchyshyn, V. B.; Abramenko, V.; Goode, P. R. [Big Bear Solar Observatory, Big Bear City, CA 92314 (United States); Gopalswamy, N. [NASA Goddard Space Flight Center, Greenbelt, MD 20771 (United States); Ozguc, A. [Kandilli Observatory and Earthquake Research Institute, Bogazici University, 34684 Istanbul (Turkey); Rozelot, J. P. [Nice University, OCA-Fizeau Dpt. Av. Copernic, 06130 Grasse (France)

2011-01-20T23:59:59.000Z

491

The maximum time interval of time-lapse photography for monitoring construction operations  

E-Print Network (OSTI)

Many construction companies today utilize webcams on their jobsites to monitor and record construction operations. Jobsite monitoring is often limited to outdoor construction operations due to lack of mobility of wired webcams. A wireless webcam may help monitor indoor construction operations with enhanced mobility. The transfer time of sending a photograph from the wireless webcam, however, is slower than that of a wired webcam. It is expected that professionals may have to analyze indoor construction operations with longer interval time-lapse photographs if they want to use a wireless webcam. This research aimed to determine the maximum time interval for time-lapse photos that enables professionals to interpret construction operations and productivity. In order to accomplish the research goal, brickwork of five different construction sites was videotaped. Various interval time-lapse photographs were generated from each video. Worker?s activity in these photographs was examined and graded. The grades in one-second interval photographs were compared with the grades of the same in longer time interval photographs. Error rates in observing longer time-lapse photographs were then obtained and analyzed to find the maximum time interval of time-lapse photography for monitoring construction operations. Research has discovered that the observation error rate increased rapidly until the 60-second interval and its increasing ratio remained constant. This finding can be used to predict a reasonable amount of error rate when observing time-lapse photographs less than 60-second interval. The observation error rate with longer than 60-second interval did not show a constant trend. Thus, the 60-second interval could be considered as the maximum time interval for professionals to interpret construction operations and productivity.

Choi, Ji Won

2004-08-01T23:59:59.000Z

492

DOE P 310.1 Admin Chg 1, Maximum Entry and Mandatory Separation Ages for Certain Security Employees  

Directives, Delegations, and Requirements

The policy establishes the DOE policy on maximum entry and mandatory separation ages for primary or secondary positions covered under special statutory ...

2001-10-11T23:59:59.000Z

493

The maximum energy dissipation principle and phenomenological cooperative and collective effects  

E-Print Network (OSTI)

The collective phenomena in physics and cooperative phenomena in biology/chemistry is compared in terms of the variational description. The maximum energy dissipation principle is employed and the cost-like functional is chosen according to an optimal control based formulation (Moroz, 2008; Moroz, 2009). Using this approach, the variational outline has been considered for non-equilibrium thermodynamic conditions. The differences between the application of the proposed approach to the description of cooperative phenomena in chemical/biochemical kinetics and the Landau free energy approach to collective phenomena in physics have been investigated.

Moroz, Adam

2010-01-01T23:59:59.000Z

494

Microsoft Word - sole1095.html  

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Location: Underhood Type: Solectria 3 kW Conductive Input Voltages: 208-240 VAC TIRES Tire Mfg: Goodyear Tire Model: Invicta GS Radial Tire Size: P21570R15 Tire Pressure FR:...

495

U.S. Department of Energy Categorical Exclusion ...  

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

quality of the 480 VAC power input to the 3H evaporator flash tank VFDs, HL-242009-LC-SIC-10252 & 10254. B1.3 - Routine maintenance Andrew R. Grainger Digitally signed by Andrew...

496

Specifications  

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Specifications Grid connection Hardwired Connector type CHAdeMo Approximate size (H x W x D inches) 38 x 69 x 21 Charge level DC Fast Charge Input voltage 480 VAC - 3 Phase...

497

Wave-Follower Field Measurements of the Wind-Input Spectral Function. Part I: Measurements and Calibrations  

Science Conference Proceedings (OSTI)

An experimental study of wind energy and momentum input into finite-depth wind waves was undertaken at Lake George, New South Wales, Australia. To measure microscale oscillations of induced pressure above surface waves, a high-precision wave-...

Mark A. Donelan; Alexander V. Babanin; Ian R. Young; Michael L. Banner; Cyril McCormick

2005-07-01T23:59:59.000Z

498

Wind-Generated Power Input to the Deep Ocean: An Estimate Using a 1/10° General Circulation Model  

Science Conference Proceedings (OSTI)

Recent studies on the wind-generated power input to the geostrophic and nongeostrophic ocean circulation components have used expressions derived from Ekman dynamics. The present work extends and unifies previous studies by deriving an expression ...

Jin-Song von Storch; Hideharu Sasaki; Jochem Marotzke

2007-03-01T23:59:59.000Z

499

Computer code input for thermal hydraulic analysis of Multi-Function Waste Tank Facility Title II design  

Science Conference Proceedings (OSTI)

The input files to the P/Thermal computer code are documented for the thermal hydraulic analysis of the Multi-Function Waste Tank Facility Title II design analysis.

Cramer, E.R.

1994-10-01T23:59:59.000Z

500

Welding and Repair Technology Center: Development of Improved Weld Heat Input and Dilution Equations for Consumable Welding Processes  

Science Conference Proceedings (OSTI)

Predicting heat input into the substrate and weld dilution for consumable welding processes is a challenge due to the number of variables associated with these processes. Proper heat input and power ratio controls are critical to control weld dilution, particularly in dissimilar metal welds where low weld dilution is necessary to prevent solidification cracking or for cladding where weld dilution is minimized to maintain corrosion resistance of the clad material. This report discusses the ...

2013-11-27T23:59:59.000Z