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Note: This page contains sample records for the topic "identification number shown" 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.


1

Alternative Fuels Data Center: Renewable Identification Numbers  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Renewable Renewable Identification Numbers to someone by E-mail Share Alternative Fuels Data Center: Renewable Identification Numbers on Facebook Tweet about Alternative Fuels Data Center: Renewable Identification Numbers on Twitter Bookmark Alternative Fuels Data Center: Renewable Identification Numbers on Google Bookmark Alternative Fuels Data Center: Renewable Identification Numbers on Delicious Rank Alternative Fuels Data Center: Renewable Identification Numbers on Digg Find More places to share Alternative Fuels Data Center: Renewable Identification Numbers on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Renewable Identification Numbers RIN Format EPA uses the following format to determine RINs for each physical gallon of

2

Number  

Office of Legacy Management (LM)

' ' , /v-i 2 -i 3 -A, This dow'at consists ~f--~-_,_~~~p.~,::, Number -------of.-&--copies, 1 Series.,-a-,-. ! 1 THE UNIVERSITY OF ROCHESTER 1; r-.' L INTRAMURALCORRESPONDENCE i"ks' 3 2.. September 25, 1947 Memo.tor Dr. A. H, Dovdy . From: Dr. H. E, Stokinger Be: Trip Report - Mayvood Chemical Works A trip vas made Nednesday, August 24th vith Messrs. Robert W ilson and George Sprague to the Mayvood Chemical F!orks, Mayvood, New Jersey one of 2 plants in the U.S.A. engaged in the production of thorium compounds. The purpose of the trip vas to: l 1. Learn the type of chemical processes employed in the thorium industry (thorium nitrate). 2. Survey conditions of eeosure of personnel associated vith these chemical processes. 3. Obtain samples of atmospheric contaminants in the plant, as

3

PAPER IDENTIFICATION NUMBER 1 Dynamics of an electro-optically tunable  

E-Print Network (OSTI)

-capacity coherent, frequency modulated (FM) fiber-optic communications, low noise high dynamic range fiber-optic processes. First, when the light wave propagates through the electro-optic section, its optical phase to model the cavity in terms of a unidirectional ring cavity as shown in Fig.3 [5]. We assume that light

Herczfeld, Peter

4

Service Identification in TCP/IP: Well-Known versus Random Port Numbers  

E-Print Network (OSTI)

The sixteen-bit well-known port number is often overlooked as a network identifier in Internet communications. Its purpose at the most fundamental level is only to demultiplex flows of traffic. Several unintended uses of ...

Masiello, Elizabeth

2006-01-11T23:59:59.000Z

5

How are lighting exemptions and allowances shown in COMcheck...  

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

Guides eLearning Model Policies Glossary Related Links ACE Learning Series How are lighting exemptions and allowances shown in COMcheck? Exemptions and allowances for lighting...

6

Progress Report {number_sign}1 on the materials identification, characterization and evaluation activity: Acquisition of materials data from the Exploratory Studies Facility  

SciTech Connect

This paper reports on the initial work within the Materials Identification, Characterization and Evaluation Sub-activity Integration Activity within the Introduced Materials Task (IMT) (WBS 1.2.3.12.5). The goals of this activity are twofold.: (1) to identify and characterize types and usage of materials that are most likely to be introduced into a potential High Level Radioactive Waste (HLW) repository at Yucca Mountain, Nevada, as a result of its construction and operation and (2) to provide tools for the Integration Activity to evaluate the chemical impact on the repository based on information gathered from sources external and internal to the Introduced Materials Task-by the Literature Survey Sub-activity (Integration Activity, IMT). Based on this information and assessment, the Integration Activity activates relevant activities within the Introduced Materials Task and provides information to other Tasks within the Yucca Mountain Project.

Meike, A., LLNL

1998-02-01T23:59:59.000Z

7

Final Rulemaking, 10 CFR Part 1021, with Amendments Shown In Tracked Changes  

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

This document presents the final rule as issued September 27, 2011, amendments shown with changes tracked(additions in blue, deletions in red). Categorical exclusions are listed in Appendices A...

8

Subthermocline Eddies in the Western Equatorial Pacific as Shown by an Eddy-Resolving OGCM  

Science Conference Proceedings (OSTI)

Sporadic in situ observations have shown evidence that subthermocline eddies exist off the Mindanao coast. These subthermocline eddies are believed to play an important role in the heat, freshwater, and other ocean property transports of the ...

Tzu-Ling Chiang; Tangdong Qu

2013-07-01T23:59:59.000Z

9

Energy flows are shown in energy units as well as dollar values...  

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

flows are shown in energy units as well as dollar values. Financial and technical management can now communicate by looking at data that is meaningful to both- One of the...

10

Static identification of delinquent loads  

E-Print Network (OSTI)

The effective use of processor caches is crucial to the performance of applications. It has been shown that cache misses are not evenly distributed throughout a program. In applications running on RISC-style processors, a small number of delinquent load instructions are responsible for most of the cache misses. Identification of delinquent loads is the key to the success of many cache optimization and prefetching techniques. In this paper, we propose a method for identifying delinquent loads that can be implemented at compile time. Our experiments over eighteen benchmarks from the SPEC suite shows that our proposed scheme is stable across benchmarks, inputs, and cache structures, identifying an average of 10 % of the total number of loads in the benchmarks we tested that account for over 90 % of all data cache misses. As far as we know, this is the first time a technique for static delinquent load identification with such a level of precision and coverage has been reported. While comparable techniques can also identify load instructions that cover 90 % of all data cache misses, they do so by selecting over 50 % of all load instructions in the code, resulting in a high number of false positives. If basic block profiling is used in conjunction with our heuristic, then our results show that it is possible to pin down just 1.3 % of the load instructions that account for 82 % of all data cache misses. 1.

Vlad-mihai Panait; Amit Sasturkar

2004-01-01T23:59:59.000Z

11

DOE Takes Action to Stop the Sales of Air-Con Air Conditioner Models Shown  

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

Takes Action to Stop the Sales of Air-Con Air Conditioner Takes Action to Stop the Sales of Air-Con Air Conditioner Models Shown to Violate Federal Energy Efficiency Appliance Standards DOE Takes Action to Stop the Sales of Air-Con Air Conditioner Models Shown to Violate Federal Energy Efficiency Appliance Standards September 23, 2010 - 12:00am Addthis Washington, DC - The Department of Energy announced today that it has taken action against Air-Con, International, requiring the company to stop selling certain air conditioning systems in the U.S. that have been shown to violate minimum energy efficiency appliance standards. DOE is proposing a civil penalty of more than $230,000 for importing and distributing these inefficient cooling products. This action and the proposed penalties are part of the Department's continued commitment to act aggressively to remove

12

Customer Service Specialist Job Number: 54844874  

E-Print Network (OSTI)

. The credit company is able to link a customer's identification number with 1 A discussion of signatures can: identification numbers for the customer, the customer's credit company, and the merchant; the amount customers' identities. ffl The credit company will not know what customers buy. Security is implemented

Heller, Barbara

13

Several studies have shown that the availability of solar power plants often is  

E-Print Network (OSTI)

Several studies have shown that the availability of solar power plants often is high during times conditioning. These peaks are intensi- fied during heat waves, which are fueled by solar gain. Thus the equivalent of peaking capaci- ty via load curtailment and user-sited power generation. When dispersed PV

Perez, Richard R.

14

Preventive Action Number:  

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

8 Preventive Action Report Planning Worksheet 11_0414 1 of 3 8 Preventive Action Report Planning Worksheet 11_0414 1 of 3 EOTA - Business Form Document Title: Preventive Action Report Planning Worksheet Document Number: F-018 Rev 11_0414 Document Owner: Elizabeth Sousa Backup Owner: Melissa Otero Approver(s): Melissa Otero Parent Document: P-008, Corrective/Preventive Action Notify of Changes: EOTA Employees Referenced Document(s): N/A F-018 Preventive Action Report Planning Worksheet 11_0414 2 of 3 Revision History: Rev. Description of Change 08_0613 Initial Release 09_0924 Worksheet modified to reflect External Audit recommendation for identification of "Cause for Potential Nonconformance". Minor editing changes. 11_0414 Added Preventive Action Number block to match Q-Pulse

15

Case Number:  

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

Name of Petitioner: Name of Petitioner: Date of Filing: Case Number: Department of Energy Washington, DC 20585 JUL 2 2 2009 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Appeal Dean P. Dennis March 2, 2009 TBA-0072 Dean D. Dennis filed a complaint of retaliation under the Department of Energy (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. Mr. Dennis alleged that he engaged in protected activity and that his employer, National Security Technologies, LLC (NSTec ), subsequently terminated him. An Office of Hearings and Appeals (OHA) Hearing Officer denied relief in Dean P. Dennis, Case No. TBH-0072, 1 and Mr. Dennis filed the instant appeal. As discussed below, the appeal is denied. I. Background The DOE established its Contractor Employee Protection Program to "safeguard public

16

JOB NUMBER  

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

. . . . . . . . . .: LEAVE BLANK (NARA use only) JOB NUMBER N/-&*W- 9d - 3 DATE RECEIVED " -1s - 9 J - NOTIFICATION TOAGENCY , In accordance with the provisions of 44 U.S.C. 3303a the disposition request. including amendments, is ap roved except , . l for items that may be marke,, ,"dis osition not approved" or "withdrawn in c o i m n 10. 4. NAME OF PERSON WITH WHOM TO CONFER 5 TELEPHONE Jannie Kindred (202) 5&-333 5 - 2 -96 6 AGENCYCERTIFICATION -. ~ - I hereby certify that I am authorized to act for this agency in matters pertaining to the disposition of its records and that the records roposed for disposal are not now needed for the business of this agency or wiRnot be needed after t G t r & s s d ; and that written concurrence from

17

KPA Number  

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

Supports CMM-SW Level 3 Supports CMM-SW Level 3 Mapping of the DOE Information Systems Engineering Methodology to the Software Engineering Institute (SEI) Software Capability Maturity Model (CMM-SW) level 3. Date: September 2002 Page 1 KPA Number KPA Activity SEM Section SEM Work Product SQSE Web site http://cio.doe.gov/sqse ORGANIZATION PROCESS FOCUS OPF-1 The software process is assessed periodically, and action plans are developed to address the assessment findings. Chapter 1 * Organizational Process Management * Process Improvement Action Plan * Methodologies ! DOE Methodologies ! SEM OPF-2 The organization develops and maintains a plan for its software process development and improvement activities. Chapter 1 * Organizational Process Management * Process Improvement

18

Brainwaves as a Biometric Parameter for Unique Identification and Authentication  

A number of biometric parameters exist for positive identification of individuals including, fingerprints, facial recognition, ear pattern, eye iris ...

19

Glossary Term - Atomic Number  

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

Particle Previous Term (Alpha Particle) Glossary Main Index Next Term (Avogadro's Number) Avogadro's Number Atomic Number Silver's atomic number is 47 The atomic number is equal to...

20

Identification of Anonymous Endogenous Interactions  

E-Print Network (OSTI)

Introduction In theoretical studies of social interactions, we hypothesize a process and seek to deduce the implied outcomes. In inferential studies, we face an inverse logical problem. Given observations of outcomes and maintained assumptions, we seek to deduce the actual process generating the observations. Econometricians have long found it useful to separate inferential problems into statistical and identification components (see Koopmans, 1949). Studies of identification seek to characterize the conclusions that could be drawn if one could use a given sampling process to obtain an unlimited number of observations. Studies of statistical inference seek to characterize the generally weaker conclusions that can be drawn from a finite number of observations. Analysis of identification logically comes first. Negative identification findings imply that statistical inference is fruitless: it makes no sense to try to use a sample of finite size to infer something that could not be learned

Charles F. Manski

1995-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "identification number shown" 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

Glossary Term - Avogadro's Number  

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

Atomic Number Previous Term (Atomic Number) Glossary Main Index Next Term (Beta Decay) Beta Decay Avogadro's Number Avogadro's number is the number of particles in one mole of a...

22

PART 1. RESPONDENT IDENTIFICATION DATA EIA ID NUMBER: DRAFT  

U.S. Energy Information Administration (EIA)

Zip:-Electronic Transmission: City: State: Zip:-Contact Name: Phone No.: Ext: Fax No.: Email address: Questions? Call: 202-586-7484: Comments: Identify any unusual ...

23

DOE/ID-Number  

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

Disposal Options for Research and Development for Spent Nuclear Fuel and High Basis for Identification of Disposal Options for Research and Development for Spent Nuclear Fuel and High-Level Waste Prepared for U.S. Department of Energy Used Fuel Disposition Campaign Rob P. Rechard Barry Goldstein Larry H. Brush Sandia National Laboratories James A. Blink Mark Sutton Lawrence Livermore National Laboratory

24

Gaussian random number generators  

Science Conference Proceedings (OSTI)

Rapid generation of high quality Gaussian random numbers is a key capability for simulations across a wide range of disciplines. Advances in computing have brought the power to conduct simulations with very large numbers of random numbers and with it, ... Keywords: Gaussian, Random numbers, normal, simulation

David B. Thomas; Wayne Luk; Philip H.W. Leong; John D. Villasenor

2007-11-01T23:59:59.000Z

25

Quantum Random Number Generator  

Science Conference Proceedings (OSTI)

... trusted beacon of random numbers. You could conduct secure auctions, or certify randomized audits of data. One of the most ...

2013-08-30T23:59:59.000Z

26

Compressor fault identification from overall performance data based on adaptive stage stacking  

SciTech Connect

In the present paper a method for the identification of faulty stages in a multistage compressor is presented. The values of overall compressor parameters, namely mass flow rate, pressure ratio, and efficiency, at different operating points are the input data to the method. Employing these data, the method gives the location and the number of faulty stages, as well as the amount of deviation from intact condition performance. It is shown that the kind of fault that has caused stage performance deterioration can be identified. Features of the method, such as generality of applicability, input data requirement, and reliability of the findings, are discussed.

Mathioudakis, K.; Stamatis, A. (National Technical Univ. of Athens (Greece). Lab. of Thermal Turbomachines)

1994-01-01T23:59:59.000Z

27

The New Element Californium (Atomic Number 98)  

DOE R&D Accomplishments (OSTI)

Definite identification has been made of an isotope of the element with atomic number 98 through the irradiation of Cm{sup 242} with about 35-Mev helium ions in the Berkeley Crocker Laboratory 60-inch cyclotron. The isotope which has been identified has an observed half-life of about 45 minutes and is thought to have the mass number 244. The observed mode of decay of 98{sup 244} is through the emission of alpha-particles, with energy of about 7.1 Mev, which agrees with predictions. Other considerations involving the systematics of radioactivity in this region indicate that it should also be unstable toward decay by electron capture. The chemical separation and identification of the new element was accomplished through the use of ion exchange adsorption methods employing the resin Dowex-50. The element 98 isotope appears in the eka-dysprosium position on elution curves containing berkelium and curium as reference points--that is, it precedes berkelium and curium off the column in like manner that dysprosium precedes terbium and gadolinium. The experiments so far have revealed only the tripositive oxidation state of eka-dysprosium character and suggest either that higher oxidation states are not stable in aqueous solutions or that the rates of oxidation are slow. The successful identification of so small an amount of an isotope of element 98 was possible only through having made accurate predictions of the chemical and radioactive properties.

Seaborg, G. T.; Thompson, S. G.; Street, K. Jr.; Ghiroso, A.

1950-06-19T23:59:59.000Z

28

Texas Natural Gas Number of Industrial Consumers (Number of Elements...  

Annual Energy Outlook 2012 (EIA)

View History: Annual Download Data (XLS File) Texas Natural Gas Number of Industrial Consumers (Number of Elements) Texas Natural Gas Number of Industrial Consumers (Number of...

29

Number | Department of Energy  

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

Number More Documents & Publications Analysis of Open Office of Inspector General Recommendations, OAS-L-08-07 Policy and International Affairs (WFP) Open Government Plan 2.0...

30

Expected Frobenius numbers  

E-Print Network (OSTI)

We show that for large instances the order of magnitude of the expected Frobenius number is (up to a constant depending only on the dimension) given by its lower bound.

Aliev, Iskander; Hinrichs, Aicke

2009-01-01T23:59:59.000Z

31

Report number codes  

SciTech Connect

This publication lists all report number codes processed by the Office of Scientific and Technical Information. The report codes are substantially based on the American National Standards Institute, Standard Technical Report Number (STRN)-Format and Creation Z39.23-1983. The Standard Technical Report Number (STRN) provides one of the primary methods of identifying a specific technical report. The STRN consists of two parts: The report code and the sequential number. The report code identifies the issuing organization, a specific program, or a type of document. The sequential number, which is assigned in sequence by each report issuing entity, is not included in this publication. Part I of this compilation is alphabetized by report codes followed by issuing installations. Part II lists the issuing organization followed by the assigned report code(s). In both Parts I and II, the names of issuing organizations appear for the most part in the form used at the time the reports were issued. However, for some of the more prolific installations which have had name changes, all entries have been merged under the current name.

Nelson, R.N. (ed.)

1985-05-01T23:59:59.000Z

32

Optical fuel pin scanner. [Patent application; for reading identifications  

DOE Patents (OSTI)

This patent relates to an optical identification system developed for post-irradiation disassembly and analysis of fuel bundle assemblies. The apparatus is designed to be lowered onto a stationary fuel pin to read identification numbers or letters imprinted on the circumference of the top fuel pin and cap. (DLC)

Kirchner, T.L.; Powers, H.G.

1980-12-09T23:59:59.000Z

33

Number | Open Energy Information  

Open Energy Info (EERE)

Number Number Jump to: navigation, search Properties of type "Number" Showing 200 properties using this type. (previous 200) (next 200) A Property:AvgAnnlGrossOpCpcty Property:AvgTempGeoFluidIntoPlant Property:AvgWellDepth B Property:Building/FloorAreaChurchesChapels Property:Building/FloorAreaGroceryShops Property:Building/FloorAreaHealthServices24hr Property:Building/FloorAreaHealthServicesDaytime Property:Building/FloorAreaHeatedGarages Property:Building/FloorAreaHotels Property:Building/FloorAreaMiscellaneous Property:Building/FloorAreaOffices Property:Building/FloorAreaOtherRetail Property:Building/FloorAreaResidential Property:Building/FloorAreaRestaurants Property:Building/FloorAreaSchoolsChildDayCare Property:Building/FloorAreaShops Property:Building/FloorAreaSportCenters

34

Using Fractional Numbers of . . .  

E-Print Network (OSTI)

One of the design parameters in closed queueing networks is Np, the number of customers of class p. It has been assumed that Np must be an integer. However, integer choices will usually not achieve the target throughput for each class simultaneously. We use Mean Value Analysis with the Schweitzer-Bard approximation and nonlinear programming to determine the value of Np needed to achieve the production targets exactly, although the values of Np may be fractional. We interpret these values to represent the average number of customers of each class in the network. We implement a control rule to achieve these averages and verify our approach through simulation.

Rajan Suri; Rahul Shinde; Mary Vernon

2005-01-01T23:59:59.000Z

35

CHEMICAL SAFETY Emergency Numbers  

E-Print Network (OSTI)

- 1 - CHEMICAL SAFETY MANUAL 2010 #12;- 2 - Emergency Numbers UNBC Prince George Campus Security Prince George Campus Chemstores 6472 Chemical Safety 6472 Radiation Safety 5530 Biological Safety 5530 use, storage, handling, waste and emergency management of chemicals on the University of Northern

Bolch, Tobias

36

Disjunctive Rado numbers  

Science Conference Proceedings (OSTI)

If L1 and L2 are linear equations, then the disjunctive Rado number of the set {L1, L2} is the least integer n, provided that it exists, such that for every 2-coloring of ... Keywords: Rado, Ramsey, Schur, disjunctive

Brenda Johnson; Daniel Schaal

2005-11-01T23:59:59.000Z

37

A number of organizations,  

E-Print Network (OSTI)

buying power to purchase green power. The city of Chicago has formed an alliance with 47 other local installed solar electric systems on a number of the city's buildings, including the Chicago Center for Green to competition, the city of Chicago and 47 other local government agencies formed the Local Government Power

38

Hanford Identification (HID) PIA, Richland Operations Office...  

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

Identification (HID) PIA, Richland Operations Office Hanford Identification (HID) PIA, Richland Operations Office Hanford Identification (HID) PIA, Richland Operations Office...

39

Hanford Identification (HID) PIA, Richland Operations Office...  

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

Hanford Identification (HID) PIA, Richland Operations Office Hanford Identification (HID) PIA, Richland Operations Office Hanford Identification (HID) PIA, Richland Operations...

40

South Dakota Natural Gas Number of Commercial Consumers (Number...  

Gasoline and Diesel Fuel Update (EIA)

View History: Annual Download Data (XLS File) South Dakota Natural Gas Number of Commercial Consumers (Number of Elements) South Dakota Natural Gas Number of Commercial Consumers...

Note: This page contains sample records for the topic "identification number shown" 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

South Dakota Natural Gas Number of Residential Consumers (Number...  

Annual Energy Outlook 2012 (EIA)

View History: Annual Download Data (XLS File) South Dakota Natural Gas Number of Residential Consumers (Number of Elements) South Dakota Natural Gas Number of Residential...

42

South Dakota Natural Gas Number of Industrial Consumers (Number...  

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

View History: Annual Download Data (XLS File) South Dakota Natural Gas Number of Industrial Consumers (Number of Elements) South Dakota Natural Gas Number of Industrial Consumers...

43

ELECTRICAL DISTRICT NUMBER EIGHT  

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

ELECTRICAL DISTRICT NUMBER EIGHT ELECTRICAL DISTRICT NUMBER EIGHT Board of Directors Reply to: Ronald Rayner C. W. Adams James D. Downing, P.E. Chairman Billy Hickman 66768 Hwy 60 Brian Turner Marvin John P.O. Box 99 Vice-Chairman Jason Pierce Salome, AZ 85348 Denton Ross Jerry Rovey Secretary James N. Warkomski ED8@HARCUVARCO.COM John Utz Gary Wood PHONE:(928) 859-3647 Treasurer FAX: (928) 859-3145 Sent via e-mail Mr. Darrick Moe, Regional Manager Western Area Power Administration Desert Southwest Region P. O. Box 6457 Phoenix, AZ 85005-6457 moe@wapa.gov; dswpwrmrk@wapa.gov Re: ED5-Palo Verde Hub Project Dear Mr. Moe, In response to the request for comments issued at the October 6 Parker-Davis Project customer th meeting, and in conjunction with comments previously submitted by the Southwest Public Power

44

Preventive Action Number:  

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

7 Corrective Action Report Planning Worksheet 11_0414 1 of 3 7 Corrective Action Report Planning Worksheet 11_0414 1 of 3 EOTA - Business Form Document Title: Corrective Action Report Planning Worksheet Document Number: F-017 Rev 11_0414 Document Owner: Elizabeth Sousa Backup Owner: Melissa Otero Approver(s): Melissa Otero Parent Document: P-008, Corrective/Preventive Action Notify of Changes: EOTA Employees Referenced Document(s): N/A F-017 Corrective Action Report Planning Worksheet 11_0414 2 of 3 Revision History: Rev. Description of Change 08_0613 Initial Release 11_0414 Added problem statement to first block. F-017 Corrective Action Report Planning Worksheet 11_0414 3 of 3 Corrective Action Report Planning Worksheet Corrective Action Number: Source: Details/Problem Statement: Raised By: Raised Date: Target Date:

45

Security - Identification Badges  

Science Conference Proceedings (OSTI)

Security - Identification Badges. All doors to the Child Care Center are locked at all times and access is via the card reader system only. ...

2013-08-15T23:59:59.000Z

46

Number fluctuations of cold, spatially split bosonic objects  

Science Conference Proceedings (OSTI)

We investigate the number fluctuations of spatially split many-boson systems employing a theorem about the maximally and minimally attainable variances of an observable. The number fluctuations of many-boson systems are given for different numbers of lattice sites and both mean-field and many-body wave functions. It is shown which states maximize the particle number fluctuations, both in lattices and double wells. The fragmentation of the states is discussed, and it is shown that the number fluctuations of some fragmented states are identical to those of fully condensed states.

Sakmann, Kaspar; Streltsov, Alexej I.; Cederbaum, Lorenz S. [Theoretische Chemie, Physikalisch-Chemisches Institut, Universitaet Heidelberg, Im Neuenheimer Feld 229, D-69120 Heidelberg (Germany); Alon, Ofir E. [Department of Physics, University of Haifa at Oranim, Tivon 36006 (Israel)

2011-11-15T23:59:59.000Z

47

Finite Neutrosophic Complex Numbers  

E-Print Network (OSTI)

In this book for the first time the authors introduce the notion of real neutrosophic complex numbers. Further the new notion of finite complex modulo integers is defined. For every $C(Z_n)$ the complex modulo integer $i_F$ is such that $2F_i = n - 1$. Several algebraic structures on $C(Z_n)$ are introduced and studied. Further the notion of complex neutrosophic modulo integers is introduced. Vector spaces and linear algebras are constructed using these neutrosophic complex modulo integers.

W. B. Vasantha Kandasamy; Florentin Smarandache

2011-11-01T23:59:59.000Z

48

Construction Project Number  

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

North Execution - (2009 - 2011) North Execution - (2009 - 2011) Construction Project Number 2009 2010 2011 Project Description ANMLPL 0001C 76,675.32 - - Animas-Laplata circuit breaker and power rights CRGRFL 0001C - - 7,177.09 Craig Rifle Bay and transfer bay upgrade to 2000 amps; / Convert CRG RFL to 345 kV out of Bears Ear Sub FGE 0019C - - 39,207.86 Replace 69/25kV transformer KX2A at Flaming Gorge FGE 0020C - - 52,097.12 Flaming Gorge: Replace failed KW2A transformer HDN 0069C 16,638.52 208,893.46 3,704,578.33 Replace failed transformer with KZ1A 250 MVA 230/138kv

49

KPA Activity Number  

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

supports CMM-SW Level 2 supports CMM-SW Level 2 Mapping of the DOE Systems Engineering Methodology to the Software Engineering Institute (SEI) Software Capability Maturity Model (CMM- SW) level 2. Date: September 2002 Page 1 KPA Activity Number KPA Activity SEM Section SME Work Product SQSE Web Site http://cio.doe.gov/sqse REQUIREMENTS MANAGEMENT RM-1 The software engineering group reviews the allocated requirements before they are incorporated in the software project. Chapter 3.0 * Develop High-Level Project Requirements Chapter 4.0 * Establish Functional Baseline * Project Plan * Requirements Specification Document * Requirements Management awareness * Defining Project Requirements RM-2 The software engineering group uses the allocated requirements as the basis for

50

Utah Natural Gas Number of Commercial Consumers (Number of Elements...  

Gasoline and Diesel Fuel Update (EIA)

Commercial Consumers (Number of Elements) Utah Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

51

Utah Natural Gas Number of Industrial Consumers (Number of Elements...  

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

Industrial Consumers (Number of Elements) Utah Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

52

Utah Natural Gas Number of Residential Consumers (Number of Elements...  

Annual Energy Outlook 2012 (EIA)

Residential Consumers (Number of Elements) Utah Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

53

Illinois Natural Gas Number of Industrial Consumers (Number of...  

Annual Energy Outlook 2012 (EIA)

Industrial Consumers (Number of Elements) Illinois Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

54

Wisconsin Natural Gas Number of Industrial Consumers (Number...  

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

Industrial Consumers (Number of Elements) Wisconsin Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

55

Wisconsin Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Wisconsin Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

56

Wisconsin Natural Gas Number of Commercial Consumers (Number...  

Annual Energy Outlook 2012 (EIA)

Commercial Consumers (Number of Elements) Wisconsin Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

57

California Natural Gas Number of Industrial Consumers (Number...  

Gasoline and Diesel Fuel Update (EIA)

Industrial Consumers (Number of Elements) California Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

58

California Natural Gas Number of Commercial Consumers (Number...  

Gasoline and Diesel Fuel Update (EIA)

Commercial Consumers (Number of Elements) California Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

59

Ohio Natural Gas Number of Commercial Consumers (Number of Elements...  

Gasoline and Diesel Fuel Update (EIA)

Commercial Consumers (Number of Elements) Ohio Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

60

Ohio Natural Gas Number of Residential Consumers (Number of Elements...  

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

Residential Consumers (Number of Elements) Ohio Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

Note: This page contains sample records for the topic "identification number shown" 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

Ohio Natural Gas Number of Industrial Consumers (Number of Elements...  

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

Industrial Consumers (Number of Elements) Ohio Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

62

Colorado Natural Gas Number of Industrial Consumers (Number of...  

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

Industrial Consumers (Number of Elements) Colorado Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

63

Colorado Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Colorado Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

64

Colorado Natural Gas Number of Commercial Consumers (Number of...  

Gasoline and Diesel Fuel Update (EIA)

Commercial Consumers (Number of Elements) Colorado Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

65

Vermont Natural Gas Number of Residential Consumers (Number of...  

Gasoline and Diesel Fuel Update (EIA)

Residential Consumers (Number of Elements) Vermont Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

66

Vermont Natural Gas Number of Industrial Consumers (Number of...  

Annual Energy Outlook 2012 (EIA)

Industrial Consumers (Number of Elements) Vermont Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

67

Vermont Natural Gas Number of Commercial Consumers (Number of...  

Annual Energy Outlook 2012 (EIA)

Commercial Consumers (Number of Elements) Vermont Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

68

Michigan Natural Gas Number of Residential Consumers (Number...  

Gasoline and Diesel Fuel Update (EIA)

Residential Consumers (Number of Elements) Michigan Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

69

Michigan Natural Gas Number of Industrial Consumers (Number of...  

Annual Energy Outlook 2012 (EIA)

Industrial Consumers (Number of Elements) Michigan Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

70

Idaho Natural Gas Number of Industrial Consumers (Number of Elements...  

Annual Energy Outlook 2012 (EIA)

Industrial Consumers (Number of Elements) Idaho Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

71

Idaho Natural Gas Number of Commercial Consumers (Number of Elements...  

Annual Energy Outlook 2012 (EIA)

Commercial Consumers (Number of Elements) Idaho Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

72

Idaho Natural Gas Number of Residential Consumers (Number of...  

Annual Energy Outlook 2012 (EIA)

Residential Consumers (Number of Elements) Idaho Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

73

Connecticut Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Connecticut Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

74

Hawaii Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Hawaii Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

75

Kentucky Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Kentucky Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

76

Tennessee Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Tennessee Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

77

Maryland Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Maryland Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

78

Louisiana Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Louisiana Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

79

Alabama Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Alabama Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

80

Oklahoma Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Oklahoma Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

Note: This page contains sample records for the topic "identification number shown" 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

Alaska Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Alaska Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

82

Kansas Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Kansas Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

83

Illinois Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Illinois Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

84

Maine Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Maine Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

85

Florida Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Florida Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

86

Iowa Natural Gas Number of Residential Consumers (Number of Elements...  

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

Residential Consumers (Number of Elements) Iowa Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

87

Georgia Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Georgia Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

88

Arkansas Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Arkansas Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

89

Missouri Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Missouri Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

90

Montana Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Montana Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

91

Nevada Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Nevada Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

92

Mississippi Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Mississippi Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

93

Arizona Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Arizona Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

94

Pennsylvania Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Pennsylvania Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

95

Nebraska Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Nebraska Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

96

Minnesota Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Minnesota Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

97

Massachusetts Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Massachusetts Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

98

Delaware Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Delaware Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

99

New Mexico Natural Gas Number of Industrial Consumers (Number...  

Annual Energy Outlook 2012 (EIA)

Industrial Consumers (Number of Elements) New Mexico Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

100

New Mexico Natural Gas Number of Residential Consumers (Number...  

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

(Number of Elements) New Mexico Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

Note: This page contains sample records for the topic "identification number shown" 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

New Mexico Natural Gas Number of Commercial Consumers (Number...  

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

(Number of Elements) New Mexico Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's...

102

Texas Natural Gas Number of Commercial Consumers (Number of Elements...  

Gasoline and Diesel Fuel Update (EIA)

Commercial Consumers (Number of Elements) Texas Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

103

Texas Natural Gas Number of Residential Consumers (Number of...  

Annual Energy Outlook 2012 (EIA)

Residential Consumers (Number of Elements) Texas Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

104

U.S. DEPARTMENT OF ENERGY OMB Number: XXXX-XXXX U.S. Energy ...  

U.S. Energy Information Administration (EIA)

EIA-863: PETROLEUM PRODUCT SALES IDENTIFICATION SURVEY. U.S. DEPARTMENT OF ENERGY U.S. Energy Information Administration . Washington, D.C. 20585 . OMB Number: XXXX-XXXX

105

High freestream turbulence levels have been shown to greatly augment the heat transfer along a gas turbine airfoil, particularly for the first stage  

E-Print Network (OSTI)

along a gas turbine airfoil, particularly for the first stage nozzle guide vane. For this study of the variables affecting boundary layer development on gas turbine airfoils, studies need to be performed of a variety of gas turbine combustors have shown that the levels can range between 8% and 40% (Kuotmos and Mc

Thole, Karen A.

106

Exploring a Full-Sized Black Hole 30 This black ball shown below is the exact size of a black hole with a  

E-Print Network (OSTI)

Exploring a Full-Sized Black Hole 30 This black ball shown below is the exact size of a black hole with a diameter of 9.0 centimeters. Such a black hole would have a mass of 5 times the mass of our Earth. All of this mass would be INSIDE the ball below. Although it looks pretty harmless, if this black hole were at arms

107

Number: 305 Most Dangerous Vehicles ...  

Science Conference Proceedings (OSTI)

... top> Number: 314 Marine Vegetation Description: Commercial harvesting of marine vegetation such as algae, seaweed and ...

2002-12-12T23:59:59.000Z

108

CHANGE OF NAME TIAA Annuity Number CREF Annuity Number TIAA Policy Number  

E-Print Network (OSTI)

CHANGE OF NAME TIAA Annuity Number CREF Annuity Number TIAA Policy Number Social Security Number and only use black or dark blue ink. Return this form to: TIAA-CREF P.O. Box 1264 Charlotte, NC 28201 NOTE City State Zip Code For TIAA-CREF USE ONLY Accepted -- Teachers Insurance and Annuity Association

Snider, Barry B.

109

The Distribution of Ramsey Numbers  

E-Print Network (OSTI)

We prove that the number of integers in the interval [0,x] that are non-trivial Ramsey numbers r(k,n) (3 order of magnitude (x ln x)**(1/2).

Clark, Lane

2013-01-01T23:59:59.000Z

110

Number  

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

NATIONAL ENERGY POLICY NATIONAL ENERGY POLICY STATUS REPORT on Implementation of NEP Recommendations January, 2005 1 NEP RECOMMENDATIONS: STATUS OF IMPLEMENTATION Chapter 1 1. That the President issue an Executive Order to direct all federal agencies to include in any regulatory action that could significantly and adversely affect energy supplies, distribution, or use, a detailed statement of energy effects and alternatives in submissions to the Office of Management and Budget of proposed regulations covered and all notices of proposed regulations published in the Federal Register. STATUS: IMPLEMENTED. In May 2001, President Bush issued Executive Order 13211 requiring federal agencies to include, in any regulatory action that could significantly and

111

Number: 1394 Description: In what ...  

Science Conference Proceedings (OSTI)

... Number: 1752 Description: When was the Oklahoma City bombing? ... name of the plane that dropped the Atomic Bomb on Hiroshima? ...

2003-02-12T23:59:59.000Z

112

Data Compression with Prime Numbers  

E-Print Network (OSTI)

A compression algorithm is presented that uses the set of prime numbers. Sequences of numbers are correlated with the prime numbers, and labeled with the integers. The algorithm can be iterated on data sets, generating factors of doubles on the compression.

Gordon Chalmers

2005-11-16T23:59:59.000Z

113

Dynamic virtual credit card numbers  

Science Conference Proceedings (OSTI)

Theft of stored credit card information is an increasing threat to e-commerce.We propose a dynamic virtual credit card number scheme that reduces the damage caused by stolen credit card numbers. A user can use an existing credit card account to generate ... Keywords: credit card theft, e-commerce

Ian Molloy; Jiangtao Li; Ninghui Li

2007-02-01T23:59:59.000Z

114

Power Quality Waveform Identification  

Science Conference Proceedings (OSTI)

This report describes the desired functionality, attributes and proposed development approach of a power quality (PQ) event identification tool that is planned to be developed under the Electric Power Research Institute (EPRI) Power Quality program P1.BackgroundPQ monitors capture a wide variety of disturbance events, ranging in frequency from direct current to a few megahertz. Advances in PQ monitoring and instrumentation allow continuous measurement and ...

2013-12-17T23:59:59.000Z

115

PINS Spectrum Identification Guide  

SciTech Connect

The Portable Isotopic Neutron SpectroscopyPINS, for shortsystem identifies the chemicals inside munitions and containers without opening them, a decided safety advantage if the fill chemical is a hazardous substance like a chemical warfare agent or an explosive. The PINS Spectrum Identification Guide is intended as a reference for technical professionals responsible for the interpretation of PINS gamma-ray spectra. The guide is divided into two parts. The three chapters that constitute Part I cover the science and technology of PINS. Neutron activation analysis is the focus of Chapter 1. Chapter 2 explores PINS hardware, software, and related operational issues. Gamma-ray spectral analysis basics are introduced in Chapter 3. The six chapters of Part II cover the identification of PINS spectra in detail. Like the PINS decision tree logic, these chapters are organized by chemical element: phosphorus-based chemicals, chlorine-based chemicals, etc. These descriptions of hazardous, toxic, and/or explosive chemicals conclude with a chapter on the identification of the inert chemicals, e.g. sand, used to fill practice munitions.

A.J. Caffrey

2012-03-01T23:59:59.000Z

116

California Natural Gas Number of Residential Consumers (Number of Elements)  

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

Residential Consumers (Number of Elements) Residential Consumers (Number of Elements) California Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 7,626 7,904,858 8,113,034 8,313,776 1990's 8,497,848 8,634,774 8,680,613 8,726,187 8,790,733 8,865,541 8,969,308 9,060,473 9,181,928 9,331,206 2000's 9,370,797 9,603,122 9,726,642 9,803,311 9,957,412 10,124,433 10,329,224 10,439,220 10,515,162 10,510,950 2010's 10,542,584 10,625,190 10,681,916 - = 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: Number of Natural Gas Residential

117

Impedance Noise Identification for State-of-Health Prognostics  

DOE Green Energy (OSTI)

Impedance Noise Identification is an in-situ method of measuring battery impedance as a function of frequency using a random small signal noise excitation source. Through a series of auto- and cross-correlations and Fast Fourier Transforms, the battery complex impedance as a function of frequency can be determined. The results are similar to those measured under a lab-scale electrochemical impedance spectroscopy measurement. The lab-scale measurements have been shown to correlate well with resistance and power data that are typically used to ascertain the remaining life of a battery. To this end, the Impedance Noise Identification system is designed to acquire the same type of data as an on-board tool. A prototype system is now under development, and results are being compared to standardized measurement techniques such as electrochemical impedance spectroscopy. A brief description of the Impedance Noise Identification hardware system and representative test results are presented.

Jon P. Christophersen; Chester G. Motloch; John L. Morrison; Ian B. Donnellan; William H. Morrison

2008-07-01T23:59:59.000Z

118

Document ID Number: RL-721  

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

Document ID Number: Document ID Number: RL-721 REV 4 NEPA REVIEW SCREENING FORM DOE/CX-00066 I. Project Title: Nesting Bird Deterrent Study at the 241-C Tank Farm CX B3.8, "Outdoor Terrestrial Ecological and Environmental Research" II. Project Description and Location (including Time Period over which proposed action will occur and Project Dimensions - e.g., acres displaced/disturbed, excavation length/depth, area/location/number of buildings, etc.): Washington River Protection Solutions LLC (WRPS) will perform an outdoor, terrestrial ecological research study to attempt to control and deter nesting birds at the 241-C Tank Farm. This will be a preventative study to test possible methods for controlling &/or minimizing the presence and impacts of nesting birds inside the tank farm. A nesting bird

119

Stochastic Low Reynolds Number Swimmers  

E-Print Network (OSTI)

As technological advances allow us to fabricate smaller autonomous self-propelled devices, it is clear that at some point directed propulsion could not come from pre-specified deterministic periodic deformation of the swimmer's body and we need to develop strategies to extract a net directed motion from a series of random transitions in the conformation space of the swimmer. We present a theoretical formulation to describe the "stochastic motor" that drives the motion of low Reynolds number swimmers based on this concept, and use it to study the propulsion of a simple low Reynolds number swimmer, namely, the three-sphere swimmer model. When the detailed-balanced is broken and the motor is driven out of equilibrium, it can propel the swimmer in the required direction. The formulation can be used to study optimal design strategies for molecular-scale low Reynolds number swimmers.

Ramin Golestanian; Armand Ajdari

2009-01-12T23:59:59.000Z

120

Undergraduate Catalog Phone Numbers & Address  

E-Print Network (OSTI)

Interest Research Exemption Programs 11 ReglsJrationPeriod III 6 Group (WashPIRG) 14 Faculty Number 9 State NaUonal Guard ' . , Full-Time Student Requirements __'_ 9 Service and Research Credit 10 Tuition notice. All announcements in the Time Schedule are subject to change without notice and do not constitute

Kelly, Scott David

Note: This page contains sample records for the topic "identification number shown" 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

MOTOR POOL RESERVATIONS Reservation Number:_______________  

E-Print Network (OSTI)

MOTOR POOL RESERVATIONS Reservation Number:_______________ Evanston campus: Chicago campus: 2020: 312/503-9243 E-mail: motor-pool@northwestern.edu E-mail: motor-pool@northwestern.edu Hours: 8:00 a reservations require the "Organization Authorization for University Vehicles" form to be faxed to Motor Pool

Shull, Kenneth R.

122

Uniform power plant identification system  

Science Conference Proceedings (OSTI)

In the seventies in the Federal Republic of Germany a uniform power plant identification system (Kraftwerks-Kennzeichen-System, KKS) was developed and introduced. It allows to keep the identification by all engineering disciplines from planning to waste management for any type of power plant. The paper explains the historical development, the structure and the application of this system.

Christiansen, W. (RWE Energie AG, Hauptverwaltung, Essen (DE)); Pannenbacker, K. (GABO mbH, Erlangen (DE)); Popp, H. (Siemens AG, Bereich Anlagentechnik, Erlangen (DE)); Seltmann, A. (ABB Kraftwerke AG, Mannheim (DE))

1990-01-01T23:59:59.000Z

123

RIN Number 1904-AB68  

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

Federal Procurement of Energy Efficient Products Federal Procurement of Energy Efficient Products RIN NUMBER: 1904-AB68 CLOSING DATE: August 20, 2007 COMMENT NUMBER DATE RECEIVED/ DATE OF LETTER NAME & TITLE OF COMMENTATOR AFFILIATION & ADDRESS OF COMMENTATOR 1 ? 7/31/07 Edwin Pinero Federal Environmental Executive Office of the Federal Environmental Executive 1200 Pennsylvania Avenue, NW Mail Code 1600J Washington, DC 20460 2 8/8/07 (e-mail) Bob Null President Arkansas Lamp Manufacturing bnull@arkansaslamp.com 3 8/10/07 (e-mail) Dawn Gunning Environmental Program Manager Department of Justice Dawn.M.Gunning@usdoj.gov 4 8/14/07 8/14/07 Kyle Pitsor Vice President, Government Relations National Electrical Manufacturers Association 1300 North 17th Street, Suite 1752 Rosslyn, VA 22209

124

RIN Number 1904-AB68  

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

RULEMAKING TITLE: Federal Procurement of Energy Efficient Products RULEMAKING TITLE: Federal Procurement of Energy Efficient Products RIN NUMBER: 1904-AB68 CLOSING DATE: August 20, 2007 COMMENT NUMBER DATE RECEIVED/ DATE OF LETTER NAME & TITLE OF COMMENTATOR AFFILIATION & ADDRESS OF COMMENTATOR 1 ? 7/31/07 Edwin Pinero Federal Environmental Executive Office of the Federal Environmental Executive 1200 Pennsylvania Avenue, NW Mail Code 1600J Washington, DC 20460 2 8/8/07 (e-mail) Bob Null President Arkansas Lamp Manufacturing bnull@arkansaslamp.com 3 8/10/07 (e-mail) Dawn Gunning Environmental Program Manager Department of Justice Dawn.M.Gunning@usdoj.gov 4 8/14/07 8/14/07 Kyle Pitsor Vice President, Government Relations National Electrical Manufacturers Association 1300 North 17th Street, Suite 1752

125

RL·721 Document ID Number:  

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

Document ID Number: Document ID Number: REV 3 NEPA REVIEW SCREENING FORM DOE/CX-00045 . J.proj(;l~t Titl~: - - - -- - - - - - - - - - - - - - - - - - -- --------- ------_. . _ - - - - - - - - - - - - - . - - - - - - - - - - - - - - - - - - - LIMITED FIREBREAK MAINTENANCE ON THE HANFORD SITE DURING CALENDAR YEAR 2012 II. Project Description and Location (including Time Period over which proposed action will occur and Project Dimensions· e.g., acres displaced/disturbed, excavation length/depth, etc.): The Department of Energy (DOE) proposes to perform firebreak maintenance in selected areas of the Hanford Site during calendar year 2012 with limited use of physical, chemical, and prescribed burning methods. Prescribed burning will be performed by the Hanford Fire Department under approved burn plans and permits; and only in previously disturbed

126

The Scalable Parallel Random Number Generators (SPRNG) ...  

Science Conference Proceedings (OSTI)

... Random Number Generators (SPRNG) Library is a widely used tool for random number generation on high-performance computing platforms. ...

2011-05-04T23:59:59.000Z

127

Grantee Total Number of Homes  

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

Grantee Grantee Total Number of Homes Weatherized through November 2011 [Recovery Act] Total Number of Homes Weatherized through November 2011 (Calendar Year 2009 - November 2011) [Recovery Act + Annual Program Funding] Alabama 6,704 7,867 1 Alaska 443 2,363 American Samoa 304 410 Arizona 6,354 7,518 Arkansas 5,231 6,949 California 41,649 50,002 Colorado 12,782 19,210 Connecticut 8,940 10,009 2 Delaware** 54 54 District of Columbia 962 1,399 Florida 18,953 20,075 Georgia 13,449 14,739 Guam 574 589 Hawaii 604 1,083 Idaho** 4,470 6,614 Illinois 35,530 44,493 Indiana** 18,768 21,689 Iowa 8,794 10,202 Kansas 6,339 7,638 Kentucky 7,639 10,902 Louisiana 4,698 6,946 Maine 5,130 6,664 Maryland 8,108 9,015 Massachusetts 17,687 21,645 Michigan 29,293 37,137 Minnesota 18,224 22,711 Mississippi 5,937 6,888 Missouri 17,334 20,319 Montana 3,310 6,860 Navajo Nation

128

4. TITLE AND SUBTITLE: 5. FUNDING NUMBERS SECURE INTEGRATION OF RADIO FREQUENCY IDENTIFICATION  

E-Print Network (OSTI)

Approved for public release; distribution is unlimitedTHIS PAGE INTENTIONALLY LEFT BLANKREPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-

Barry A. Craft; J. D. Fulp

2005-01-01T23:59:59.000Z

129

Total Number of Operable Refineries  

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

Data Series: Total Number of Operable Refineries Number of Operating Refineries Number of Idle Refineries Atmospheric Crude Oil Distillation Operable Capacity (B/CD) Atmospheric Crude Oil Distillation Operating Capacity (B/CD) Atmospheric Crude Oil Distillation Idle Capacity (B/CD) Atmospheric Crude Oil Distillation Operable Capacity (B/SD) Atmospheric Crude Oil Distillation Operating Capacity (B/SD) Atmospheric Crude Oil Distillation Idle Capacity (B/SD) Vacuum Distillation Downstream Charge Capacity (B/SD) Thermal Cracking Downstream Charge Capacity (B/SD) Thermal Cracking Total Coking Downstream Charge Capacity (B/SD) Thermal Cracking Delayed Coking Downstream Charge Capacity (B/SD Thermal Cracking Fluid Coking Downstream Charge Capacity (B/SD) Thermal Cracking Visbreaking Downstream Charge Capacity (B/SD) Thermal Cracking Other/Gas Oil Charge Capacity (B/SD) Catalytic Cracking Fresh Feed Charge Capacity (B/SD) Catalytic Cracking Recycle Charge Capacity (B/SD) Catalytic Hydro-Cracking Charge Capacity (B/SD) Catalytic Hydro-Cracking Distillate Charge Capacity (B/SD) Catalytic Hydro-Cracking Gas Oil Charge Capacity (B/SD) Catalytic Hydro-Cracking Residual Charge Capacity (B/SD) Catalytic Reforming Charge Capacity (B/SD) Catalytic Reforming Low Pressure Charge Capacity (B/SD) Catalytic Reforming High Pressure Charge Capacity (B/SD) Catalytic Hydrotreating/Desulfurization Charge Capacity (B/SD) Catalytic Hydrotreating Naphtha/Reformer Feed Charge Cap (B/SD) Catalytic Hydrotreating Gasoline Charge Capacity (B/SD) Catalytic Hydrotreating Heavy Gas Oil Charge Capacity (B/SD) Catalytic Hydrotreating Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Kerosene/Jet Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Diesel Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Other Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Residual/Other Charge Capacity (B/SD) Catalytic Hydrotreating Residual Charge Capacity (B/SD) Catalytic Hydrotreating Other Oils Charge Capacity (B/SD) Fuels Solvent Deasphalting Charge Capacity (B/SD) Catalytic Reforming Downstream Charge Capacity (B/CD) Total Coking Downstream Charge Capacity (B/CD) Catalytic Cracking Fresh Feed Downstream Charge Capacity (B/CD) Catalytic Hydro-Cracking Downstream Charge Capacity (B/CD) Period:

130

Surveillance Guides - Identification of Hazards  

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

Identification of Hazards Identification of Hazards 1.0 Objective The objective of this surveillance is to evaluate the effectiveness of the contractor's hazards identification programs. Surveillance activities encompass maintenance and implementation of safety basis documentation (SARs, ISBs, BIOs, JCOs, HASPs etc) as well as activity level hazards identification via JHAs, AJHAs, JSAs etc.) 2.0 References 2.1 DOE 4330.4B Maintenance Management Program 2.2 48 CFR 1970 Department of Energy Acquisition Regulations 2.3 DOE O 5480.21, Unreviewed Safety Questions 2.4 DOE O 5480.23, Nuclear Safety Analysis Reports 3.0 Requirements Implemented This surveillance verifies implementation of guiding principle #5 and core value #2 as specified in 48 CFR 1970.5204-2 (b) (5) and (c) (2) respectively. Additionally, it verifies implementation of

131

The distribution of prime numbers on the square root spiral  

E-Print Network (OSTI)

Prime Numbers clearly accumulate on defined spiral graphs,which run through the Square Root Spiral. These spiral graphs can be assigned to different spiral-systems, in which all spiral-graphs have the same direction of rotation and the same -second difference- between the numbers, which lie on these spiral-graphs. A mathematical analysis shows, that these spiral graphs are caused exclusively by quadratic polynomials. For example the well known Euler Polynomial x2+x+41 appears on the Square Root Spiral in the form of three spiral-graphs, which are defined by three different quadratic polynomials. All natural numbers,divisible by a certain prime factor, also lie on defined spiral graphs on the Square Root Spiral (or Spiral of Theodorus, or Wurzelspirale). And the Square Numbers 4, 9, 16, 25, 36 even form a highly three-symmetrical system of three spiral graphs, which divides the square root spiral into three equal areas. Fibonacci number sequences also play a part in the structure of the Square Root Spiral. With the help of the Number-Spiral, described by Mr. Robert Sachs, a comparison can be drawn between the Square Root Spiral and the Ulam Spiral. The shown sections of his study of the number spiral contain diagrams, which are related to my analysis results, especially in regards to the distribution of prime numbers.

Harry K. Hahn; Robert Sachs

2008-01-09T23:59:59.000Z

132

RL-721 Document ID Number:  

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

4 4 NEPA REVIEW SCREENING FORM DOE/CX-00075 I. Project Title: Project 1-718, Electrical Utili ties Transformer Management Support Facility II. Project Description and Location (including Time Period over which proposed action will occur and Project Dimensions -e.g., acres displaced/disturbed, excavation length/depth, area/location/number of buildings, etc.): The proposed action includes design, procurement, and construction of a pre-engineered metal building for transformer management; including inspections, routine maintenance, testing, refurbishing, and disposition of excess transformers. The building will be constructed in the previously disturbed, gravel-covered electrical utilities lay-down yard west of the 2101-M Building in 200 East Area of the Hanford Site. The building footprint

133

Control Measure Title Reference Number *  

E-Print Network (OSTI)

exhaustive search for emissions reductions to use in meeting federal Clean Air Act requirements for this 2008 PM2.5 Plan. Chapter 6 details the Districts process for developing control measures for reducing emissions of primary PM2.5 and PM2.5 precursors. This Appendix presents the product of this process: a master list of all candidate control measure ideas identified and evaluated for this plan. After assembling Appendix I, the District then screened the candidate measures into several categories: high priority measures to be implemented in the years immediately following plan adoption; measures that might be implemented in future years to allow for expected technology development; and those measures that require further study to identify when they could be implemented and what reductions they could achieve. Candidate control measure descriptions in Appendix I have the following major components:! Title and Number

unknown authors

2008-01-01T23:59:59.000Z

134

DOE Emergency Special Needs Self-Identification Form | Department...  

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

Emergency Special Needs Self-Identification Form DOE Emergency Special Needs Self-Identification Form Emergency Special Needs Self-Identification Form DOE Emergency Special Needs...

135

Why is hydrogen's atomic number 1?  

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

the number of protons in an atom's nucleus. Hydrogen's atomic number is 1 because all hydrogen atoms contain exactly one proton. Author: Steve Gagnon, Science Education Specialist...

136

Reference Number PCR Kit Name Manufacturer Kit ...  

Science Conference Proceedings (OSTI)

Page 1. Reference Number PCR Kit Name Manufacturer Kit Description 1 Profiler Life Technologies AmpFlSTR Profiler (Part number 403038) ...

2013-11-20T23:59:59.000Z

137

Critical Component Identification Process Licensee Examples: Scoping and Identification of Critical Components in Support of INPO AP913  

Science Conference Proceedings (OSTI)

When implementing INPO AP-913, Equipment Reliability Process Description, one of the key "entry points" is accurate "Scoping and Identification of Critical Components"; this activity facilitates appropriate targeting of plant resources to those components that truly affect safety, reliability, and production. While AP-913 discusses a limited number of categories for components (Critical, Non-Critical, and Run-to-Failure), some utilities have implemented programs that result in further subdivision and hav...

2003-12-31T23:59:59.000Z

138

USING BOX-JENKINS MODELS TO FORECAST FISHERY DYNAMICS: IDENTIFICATION, ESTIMATION, AND CHECKING  

E-Print Network (OSTI)

USING BOX-JENKINS MODELS TO FORECAST FISHERY DYNAMICS: IDENTIFICATION, ESTIMATION, AND CHECKING Roy MENDELSSOHN! ABSTRACT Box·Jenkins models are suggested as appropriate models for forecasting fishery dynamics in Hawaii. An actual 12-month forecast is shown to give a reasonable fit to the observed data. Most

139

Number: 894 Description: How far is it ...  

Science Conference Proceedings (OSTI)

... Number: 1198 Description: When was Hiroshima bombed? ... 1264 Description: What is the atomic weight of ...

2002-04-29T23:59:59.000Z

140

Centrifugal compressor identification using LOLIMOT  

Science Conference Proceedings (OSTI)

In this paper, the dynamics of a nonlinear centrifugal compressor which is used in compression of natural gas process, is identified using Locally Linear Model Tree (LOLIMOT) algorithm. Real data were collected from the performance maps of the system ... Keywords: LOLIMOT, centrifugal compressor, identification, neuro-fuzzy models, nonlinear, performance maps

Najmeh Daroogheh

2009-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "identification number shown" 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

Fast library for number theory: an introduction  

Science Conference Proceedings (OSTI)

We discuss FLINT (Fast Library for Number Theory), a library to support computations in number theory, including highly optimised routines for polynomial arithmetic and linear algebra in exact rings.

William B. Hart

2010-09-01T23:59:59.000Z

142

,"New Mexico Number of Natural Gas Consumers"  

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

1: Residential" "Sourcekey","NA1501SNM8","NA1508SNM8","NA1509SNM8" "Date","New Mexico Natural Gas Number of Residential Consumers (Count)","New Mexico Natural Gas Number of...

143

Summary Protocol: Identification, Characterization, Designation, Remedial  

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

Summary Protocol: Identification, Characterization, Designation, Summary Protocol: Identification, Characterization, Designation, Remedial Action, Certification Summary Protocol: Identification, Characterization, Designation, Remedial Action, Certification Summary Protocol: Identification, Characterization, Designation, Remedial Action, Certification (January 1986) Summary Protocol: Identification, Characterization, Designation, Remedial Action, Certification (January 1986) More Documents & Publications Supplement No. 1 to the FUSRAP Summary Protocol - Designation/Elimination Protocol Pre-MARSSIM Surveys in a MARSSIM World: Demonstrating How Pre-MARSSIM Radiological Data Demonstrate Protectiveness at Formerly Utilized Sites Remedial Action Program Sites U.S. Department of Energy Guidelines for Residual Radioactive Material at

144

Number: 1 Description: What powers did ...  

Science Conference Proceedings (OSTI)

... top> Number: 10 Description: What is one of the major problems with electronic producing turbines (windmills) in California? ...

2002-11-04T23:59:59.000Z

145

Number: 1 Description: How did the ...  

Science Conference Proceedings (OSTI)

... Number: 80 Description: What part did ITT (International Telephone and Telegraph) and Anaconda Copper play in the ...

2003-03-03T23:59:59.000Z

146

A Bayesian Framework for SNP Identification  

SciTech Connect

Current proteomics techniques, such as mass spectrometry, focus on protein identification, usually ignoring most types of modifications beyond post-translational modifications, with the assumption that only a small number of peptides have to be matched to a protein for a positive identification. However, not all proteins are being identified with current techniques and improved methods to locate points of mutation are becoming a necessity. In the case when single-nucleotide polymorphisms (SNPs) are observed, brute force is the most common method to locate them, quickly becoming computationally unattractive as the size of the database associated with the model organism grows. We have developed a Bayesian model for SNPs, BSNP, incorporating evolutionary information at both the nucleotide and amino acid levels. Formulating SNPs as a Bayesian inference problem allows probabilities of interest to be easily obtained, for example the probability of a specific SNP or specific type of mutation over a gene or entire genome. Three SNP databases were observed in the evaluation of the BSNP model; the first SNP database is a disease specific gene in human, hemoglobin, the second is also a disease specific gene in human, p53, and the third is a more general SNP database for multiple genes in mouse. We validate that the BSNP model assigns higher posterior probabilities to the SNPs defined in all three separate databases than can be attributed to chance under specific evolutionary information, for example the amino acid model described by Majewski and Ott in conjunction with either the four-parameter nucleotide model by Bulmer or seven-parameter nucleotide model by Majewski and Ott.

Webb-Robertson, Bobbie-Jo M.; Havre, Susan L.; Payne, Deborah A.

2005-07-01T23:59:59.000Z

147

Combinatorial screening for the identification of Mg-based destabilized  

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

Combinatorial screening for the identification of Mg-based destabilized Combinatorial screening for the identification of Mg-based destabilized hydrogen storage materials Speaker(s): Robin Gremaud Date: October 16, 2006 - 12:00pm Location: 90-3122 Limited energy resources and increasing pollution associated with the use of fossil resources have stimulated the search for cleaner, cheaper and more efficient energy technologies. One promising technology involves hydrogen that can be used in fuel cells and is stored in metal hydrides. However, for replacing existing technologies, still a large number of problems have to be solved, demanding for extensive fundamental research in the field of material science. Our experimental strategy, aimed at finding of novel (complex) hydrides is to carry out systematic experiments for various light-weight metal-hydrides. In the standard approach followed so

148

Utah Natural Gas Number of Gas and Gas Condensate Wells (Number...  

Annual Energy Outlook 2012 (EIA)

Gas and Gas Condensate Wells (Number of Elements) Utah Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

149

Arizona Natural Gas Number of Gas and Gas Condensate Wells (Number...  

Annual Energy Outlook 2012 (EIA)

Gas and Gas Condensate Wells (Number of Elements) Arizona Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

150

Kansas Natural Gas Number of Gas and Gas Condensate Wells (Number...  

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

Gas and Gas Condensate Wells (Number of Elements) Kansas Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

151

Alaska Natural Gas Number of Gas and Gas Condensate Wells (Number...  

Annual Energy Outlook 2012 (EIA)

Gas and Gas Condensate Wells (Number of Elements) Alaska Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

152

Montana Natural Gas Number of Gas and Gas Condensate Wells (Number...  

Annual Energy Outlook 2012 (EIA)

Gas and Gas Condensate Wells (Number of Elements) Montana Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

153

Wyoming Natural Gas Number of Gas and Gas Condensate Wells (Number...  

Gasoline and Diesel Fuel Update (EIA)

Gas and Gas Condensate Wells (Number of Elements) Wyoming Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

154

Indiana Natural Gas Number of Gas and Gas Condensate Wells (Number...  

Gasoline and Diesel Fuel Update (EIA)

Gas and Gas Condensate Wells (Number of Elements) Indiana Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

155

Nevada Natural Gas Number of Gas and Gas Condensate Wells (Number...  

Annual Energy Outlook 2012 (EIA)

Gas and Gas Condensate Wells (Number of Elements) Nevada Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

156

Oregon Natural Gas Number of Gas and Gas Condensate Wells (Number...  

Annual Energy Outlook 2012 (EIA)

Gas and Gas Condensate Wells (Number of Elements) Oregon Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

157

Alabama Natural Gas Number of Gas and Gas Condensate Wells (Number...  

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

Gas and Gas Condensate Wells (Number of Elements) Alabama Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

158

Ohio Natural Gas Number of Gas and Gas Condensate Wells (Number...  

Annual Energy Outlook 2012 (EIA)

Gas and Gas Condensate Wells (Number of Elements) Ohio Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

159

Texas Natural Gas Number of Gas and Gas Condensate Wells (Number...  

Gasoline and Diesel Fuel Update (EIA)

Gas and Gas Condensate Wells (Number of Elements) Texas Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

160

Support Vector Machine Classification of Probability Models and Peptide Features for Improved Peptide Identification from Shotgun Proteomics  

Science Conference Proceedings (OSTI)

Proteomics is a rapidly advancing field offering a new perspective to biological systems. Mass spectrometry (MS) is a popular experimental approach because it allows global protein characterization of a sample in a high-throughput manner. The identification of a protein is based on the spectral signature of fragments of the constituent proteins, i.e., peptides. This peptide identification is typically performed with a computational database search algorithm; however, these database search algorithms return a large number of false positive identifications. We present a new scoring algorithm that uses a SVM to integrate database scoring metrics with peptide physiochemical properties, resulting in an improved ability to separate true from false peptide identification from MS. The Peptide Identification Classifier SVM (PICS) score using only five variables is significantly more accurate than the single best database metric, quantified as the area under a Receive Operating Characteristic curve of ~0.94 versus ~0.90.

Webb-Robertson, Bobbie-Jo M.; Oehmen, Chris S.; Cannon, William R.

2007-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "identification number shown" 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

Number of Gas and Gas Condensate Wells  

Annual Energy Outlook 2012 (EIA)

5 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ... 152 170 165 195 224 Production (million cubic feet)...

162

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

9 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ... 280 300 225 240 251 Production (million cubic feet)...

163

Production mechanisms, number concentration, size distribution...  

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

Wiley Online Library (wileyonlinelibrary.com) DOI: 10.1002asl2.441 Meeting Report Production mechanisms, number concentration, size distribution, chemical composition, and...

164

Project Registration Number Assignments (Completed) | Department...  

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

& Publications Project Registration Number Assignments (Active) Technical Standards, DOE Orders and Applicable CFRsDEAR Crosswalk - February 2, 2002 All Active DOE Technical...

165

Project Registration Number Assignments (Active) | Department...  

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

Registration Number Assignments (Completed) All Active DOE Technical Standards Document Technical Standards, DOE Orders and Applicable CFRsDEAR Crosswalk - February 2, 2002...

166

Transfer function identification in power system applications  

Science Conference Proceedings (OSTI)

This paper presents an introduction to concepts and applications of transfer function identification in power systems. The paper begins with a brief introduction to transfer function identification methods using least-squares approaches and then discusses applications which include SVC's, model validation applications, and software validation. A comparison is also made between eigenvalues obtained from transfer function identification and small signal analysis. Methods for testing the validity of identified transfer functions are also discussed.

Smith, J.R.; Fatehi, F.; Woods, C.S. (Montana State Univ., Bozeman, MT (United States)); Hauer, J.F. (Bonneville Power Administration, Portland, OR (United States)); Trudnowski, D.J. (Battelle Pacific Northwest Labs., Richland, WA (United States))

1993-08-01T23:59:59.000Z

167

Dual output acoustic wave sensor for molecular identification  

DOE Patents (OSTI)

A method of identification and quantification of absorbed chemical species by measuring changes in both the velocity and the attenuation of an acoustic wave traveling through a thin film into which the chemical species is sorbed. The dual output response provides two independent sensor responses from a single sensing device thereby providing twice as much information as a single output sensor. This dual output technique and analysis allows a single sensor to provide both the concentration and the identity of a chemical species or permits the number of sensors required for mixtures to be reduced by a factor of two.

Frye, Gregory C. (Cedar Crest, NM); Martin, Stephen J. (Albuquerque, NM)

1991-01-01T23:59:59.000Z

168

enter part number BNC / RP-BNC  

E-Print Network (OSTI)

enter part number Products 7/16 1.0/2.3 1.6/5.6 AFI AMC BNC / RP-BNC C FAKRA SMB FME HN MCX Mini ------- Product Search ------- Inventory Search Search Results for: 31-10152-RFX Results: 1 - 1 of 1 Part Number. All rights reserved. Copyright | Terms & Conditions | RF E-Mail Client | Contact Us | Amphenol

Berns, Hans-Gerd

169

Geothermal: Sponsored by OSTI -- Regional issue identification...  

Office of Scientific and Technical Information (OSTI)

issue identification and assessment (RIIA). Volume I. An analysis of the TRENDLONG MID-MID Scenario for Federal Region 10 Geothermal Technologies Legacy Collection HelpFAQ | Site...

170

Identification and Prioritization of Technical Issues | Department...  

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

Identification and Prioritization of Technical Issues Minutes from 12 December 2006 DOENRC Video Teleconference Call on Section 3116 Implementation Activities Minutes from 12...

171

Compare Activities by Number of Computers  

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

Number of Computers Number of Computers Compare Activities by ... Number of Computers Office buildings contained the most computers per square foot, followed by education and outpatient health care buildings. Education buildings were the only type with more than one computer per employee. Religious worship and food sales buildings had the fewest computers per square foot. Percent of All Computers by Building Type Figure showing percent of all computers by building type. If you need assistance viewing this page, please call 202-586-8800. Computer Data by Building Type Number of Buildings (thousand) Total Floorspace (million square feet) Number of Employees (thousand) Total Computers (thousand) Computers per Million Square Feet Computers per Thousand Employees All Buildings 4,657

172

Compendium of Experimental Cetane Number Data  

DOE Green Energy (OSTI)

In this report, we present a compilation of reported cetane numbers for pure chemical compounds. The compiled database contains cetane values for 299 pure compounds, including 156 hydrocarbons and 143 oxygenates. Cetane number is a relative ranking of fuels based on the amount of time between fuel injection and ignition. The cetane number is typically measured either in a combustion bomb or in a single-cylinder research engine. This report includes cetane values from several different measurement techniques - each of which has associated uncertainties. Additionally, many of the reported values are determined by measuring blending cetane numbers, which introduces significant error. In many cases, the measurement technique is not reported nor is there any discussion about the purity of the compounds. Nonetheless, the data in this report represent the best pure compound cetane number values available from the literature as of August 2004.

Murphy, M. J.; Taylor, J. D.; McCormick, R. L.

2004-09-01T23:59:59.000Z

173

Photon-number tomography and fidelity  

E-Print Network (OSTI)

The scheme of photon-number tomography is discussed in the framework of star-product quantization. The connection of dual quantization scheme and observables is reviewed. The quantizer and dequantizer operators and kernels of star product of tomograms in photon-number tomography scheme and its dual one are presented in explicit form. The fidelity and state purity are discussed in photon{number tomographic scheme, and the expressions for fidelity and purity are obtained in the form of integral of the product of two photon-number tomograms with integral kernel which is presented in explicit form. The properties of quantumness are discussed in terms of inequalities on state photon{number tomograms.

O. V. Man'ko

2012-12-23T23:59:59.000Z

174

Model Acceptability Measure for the Identification of Failures in Qualitative Fault Monitoring Systems  

E-Print Network (OSTI)

This paper deals with two of the main tasks of Fault Monitoring Systems (FMS): fault detection and fault identification. During fault detection, the FMS should recognize that the plant behavior is abnormal, and therefore, that the plant is not working properly. During fault identification, the FMS should conclude which type of failure has occurred. The first goal of this work is to consolidate a new fault detection technique, called enveloping, that was developed in the context of the Fuzzy Inductive Reasoning Fault Monitoring System (FIRFMS). The second and primary goal of this paper is to introduce the model acceptability measure as a tool to enhance and make more robust the fault identification process in the context of FIRFMS. The enveloping technique and the model acceptability measure are applied to an electric circuit model previously used for such purpose in the literature. It is shown that the new methods outperform the ones previously advocated in FIRFMS for that purpose 1 ...

Antoni Escobet Angela; Angela Nebot; Francois E. Cellier

1999-01-01T23:59:59.000Z

175

BIC-seq: a fast algorithm for detection of copy number alterations based on high-throughput sequencing data  

E-Print Network (OSTI)

DNA copy number alterations (CNA), which are amplifications and deletions of certain regions in the genome, play an important role in the pathogenesis of cancer and have been shown to be associated with other diseases such ...

Xi, Ruibin

176

Identification  

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

a a Bifunctional UDP-4-keto-pentose/UDP-xylose Synthase in the Plant Pathogenic Bacterium Ralstonia solanacearum Strain GMI1000, a Distinct Member of the 4,6-Dehydratase and Decarboxylase Family * □ S Received for publication, September 16, 2009, and in revised form, January 15, 2010 Published, JBC Papers in Press, January 29, 2010, DOI 10.1074/jbc.M109.066803 Xiaogang Gu ‡ , John Glushka ‡ , Yanbin Yin § , Ying Xu § , Timothy Denny ¶ , James Smith ‡ , Yingnan Jiang ‡ , and Maor Bar-Peled ‡ʈ1 From the ‡ Complex Carbohydrate Research Center, the § Computational System Biology Laboratory, Department of Biochemistry and Molecular Biology, and the Institute of Bioinformatics, and the Departments of ¶ Plant Pathogen and ʈ Plant Biology, University of Georgia, Athens, Georgia 30602 The UDP-sugar interconverting enzymes involved in UDP- GlcA metabolism are well

177

Identification  

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

Novel Novel Proteins Involved in Plant Cell-Wall Synthesis Based on Protein-Protein Interaction Data Chan Zhou, †,‡ Yanbin Yin, †,‡ Phuongan Dam, †,‡ and Ying Xu* ,†,‡,§ Computational Systems Biology Laboratory, Department of Biochemistry and Molecular Biology, and Institute of Bioinformatics, University of Georgia, Athens, Georgia 30602, BioEnergy Science Center (http:// genomicsgtl.energy.gov/centers/), Oak Ridge, Tennessee 37831, and College of Computer Science and Technology, Jilin University, Changchun, Jilin 130012, China Received April 4, 2010 The plant cell wall is mainly composed of polysaccharides, representing the richest source of biomass for future biofuel production. Currently, the majority of the cell-wall synthesis-related (CWSR) proteins are unknown even for model plant Arabidopsis thaliana. We report a computational framework

178

Stockpile Stewardship Quarterly Volume 1, Number 4  

National Nuclear Security Administration (NNSA)

1, Number 4 * February 2012 1, Number 4 * February 2012 Message from the Assistant Deputy Administrator for Stockpile Stewardship, Chris Deeney Defense Programs Stockpile Stewardship in Action Volume 1, Number 4 Inside this Issue 2 Applying Advanced Simulation Models to Neutron Tube Ion Extraction 3 Advanced Optical Cavities for Subcritical and Hydrodynamic Experiments 5 Progress Toward Ignition on the National Ignition Facility 7 Commissioning URSA Minor: The First LTD-Based Accelerator for Radiography 8 Publication Highlights 9 2011 NNSA Stewardship Science Graduate Fellowship Class S tockpile Stewardship Science is not for wimps, and

179

Fieldable Nuclear Material Identification System  

SciTech Connect

The Fieldable Nuclear Material Identification System (FNMIS), funded by the NA-241 Office of Dismantlement and Transparency, provides information to determine the material attributes and identity of heavily shielded nuclear objects. This information will provide future treaty participants with verifiable information required by the treaty regime. The neutron interrogation technology uses a combination of information from induced fission neutron radiation and transmitted neutron imaging information to provide high confidence that the shielded item is consistent with the host's declaration. The combination of material identification information and the shape and configuration of the item are very difficult to spoof. When used at various points in the warhead dismantlement sequence, the information complimented by tags and seals can be used to track subassembly and piece part information as the disassembly occurs. The neutron transmission imaging has been developed during the last seven years and the signature analysis over the last several decades. The FNMIS is the culmination of the effort to put the technology in a usable configuration for potential treaty verification purposes.

Radle, James E [ORNL; Archer, Daniel E [ORNL; Carter, Robert J [ORNL; Mullens, James Allen [ORNL; Mihalczo, John T [ORNL; Britton Jr, Charles L [ORNL; Lind, Randall F [ORNL; Wright, Michael C [ORNL

2010-01-01T23:59:59.000Z

180

Law of Large Numbers Limits for Many Server Queues  

E-Print Network (OSTI)

This work considers a many-server queueing system in which customers with i.i.d., generally distributed service times enter service in the order of arrival. The dynamics of the system is represented in terms of a process that describes the total number of customers in the system, as well as a measure-valued process that keeps track of the ages of customers in service. Under mild assumptions on the service time distribution, as the number of servers goes to infinity, a law of large numbers (or fluid) limit is established for this pair of processes. The limit is characterised as the unique solution to a coupled pair of integral equations, which admits a fairly explicit representation. As a corollary, the fluid limits of several other functionals of interest, such as the waiting time, are also obtained. Furthermore, in the time-homogeneous setting, the fluid limit is shown to converge to its equilibrium. Along the way, some results of independent interest are obtained, including a continuous mapping result and a...

Kaspi, Haya

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "identification number shown" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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to obtain the most current and comprehensive results.


181

Climate Zone Number 1 | Open Energy Information  

Open Energy Info (EERE)

Climate Zone Number 1 Climate Zone Number 1 Jump to: navigation, search A type of climate defined in the ASHRAE 169-2006 standard. Climate Zone Number 1 is defined as Very Hot - Humid(1A) with IP Units 9000 < CDD50ºF and SI Units 5000 < CDD10ºC Dry(1B) with IP Units 9000 < CDD50ºF and SI Units 5000 < CDD10ºC . The following places are categorized as class 1 climate zones: Broward County, Florida Hawaii County, Hawaii Honolulu County, Hawaii Kalawao County, Hawaii Kauai County, Hawaii Maui County, Hawaii Miami-Dade County, Florida Monroe County, Florida Retrieved from "http://en.openei.org/w/index.php?title=Climate_Zone_Number_1&oldid=21604" Category: ASHRAE Climate Zones What links here Related changes Special pages Printable version Permanent link Browse properties

182

What's Behind the Numbers? | Department of Energy  

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

What's Behind the Numbers? What's Behind the Numbers? What's Behind the Numbers? June 24, 2011 - 3:39pm Addthis What's Behind the Numbers? Dr. Richard Newell Dr. Richard Newell What does this mean for me? New website shows data on the why's, when's and how's of crude oil prices. Among the most visible prices that consumers may see on a daily basis are the ones found on the large signs at the gasoline stations alongside our streets and highways. The biggest single factor affecting gasoline prices is the cost of crude oil, the main raw material for gasoline production, which accounts for well over half the price of gasoline at the pump. But what is behind the price of crude oil? This week the U.S. Energy Information Administration (EIA) launched a new web-based assessment highlighting key factors that can affect crude oil

183

Number of Gas and Gas Condensate Wells  

Annual Energy Outlook 2012 (EIA)

3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ... 22,442 22,117 23,554 18,774 16,718 Production...

184

Number of Gas and Gas Condensate Wells  

Annual Energy Outlook 2012 (EIA)

2004 1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year... 341,678 373,304 387,772 393,327 405,048 Production...

185

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ... 1,169 1,244 1,232 1,249 1,272 Production (million...

186

Contractor: Contract Number: Contract Type: Total Estimated  

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

Number: Contract Type: Total Estimated Contract Cost: Performance Period Total Fee Earned FY2008 2,550,203 FY2009 39,646,446 FY2010 64,874,187 FY2011 66,253,207 FY2012...

187

Number of Interactions Involved in Software Failures ...  

Science Conference Proceedings (OSTI)

... Table 2. Number of variables in avionics software branches. Vars, Count, Pct, Cumulative. 1, 5691, 74.1%, 74.1%. 2, 1509, 19.6%, 93.7%. ...

188

Theorem Proving with the Real Numbers  

E-Print Network (OSTI)

This thesis discusses the use of the real numbers in theorem proving. Typically, theorem provers only support a few `discrete' datatypes such as the natural numbers. However the availability of the real numbers opens up many interesting and important application areas, such as the verification of floating point hardware and hybrid systems. It also allows the formalization of many more branches of classical mathematics, which is particularly relevant for attempts to inject more rigour into computer algebra systems. Our work is conducted in a version of the HOL theorem prover. We describe the rigorous definitional construction of the real numbers, using a new version of Cantor's method, and the formalization of a significant portion of real analysis. We also describe an advanced derived decision procedure for the `Tarski subset' of real algebra as well as some more modest but practically useful tools for automating explicit calculations and routine linear arithmetic reasoning. Finally,...

John Robert Harrison

1996-01-01T23:59:59.000Z

189

Climate Zone Number 8 | Open Energy Information  

Open Energy Info (EERE)

Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon Climate Zone Number 8 Jump to: navigation, search A type of climate defined in the ASHRAE...

190

Richardson Number Statistics in the Seasonal Thermocline  

Science Conference Proceedings (OSTI)

Statistics of Richardson number in the seasonal thermocline are determined for a simple model and from experiments over the continental shelf. The model consists of normally distributed and uncorrelated density gradient and shear (such as may be ...

Laurie Padman; Ian S. F. Jones

1985-07-01T23:59:59.000Z

191

Source codes as random number generators  

E-Print Network (OSTI)

AbstractA random number generator generates fair coin flips by processing deterministically an arbitrary source of nonideal randomness. An optimal random number generator generates asymptotically fair coin flips from a stationary ergodic source at a rate of bits per source symbol equal to the entropy rate of the source. Since optimal noiseless data compression codes produce incompressible outputs, it is natural to investigate their capabilities as optimal random number generators. In this paper we show under general conditions that optimal variable-length source codes asymptotically achieve optimal variable-length random bit generation in a rather strong sense. In particular, we show in what sense the LempelZiv algorithm can be considered an optimal universal random bit generator from arbitrary stationary ergodic random sources with unknown distributions. Index Terms Data compression, entropy, LempelZiv algorithm, random number generation, universal source coding.

Karthik Visweswariah; Student Member; Sanjeev R. Kulkarni; Senior Member; Sergio Verd

1998-01-01T23:59:59.000Z

192

Gait identification using cumulants of accelerometer data  

Science Conference Proceedings (OSTI)

This paper describes gait identification using cumulants of accelerometer data. Accelerometer data of three different walking speeds for each subject (normal, slow and fast) was acquired by a cell phone placed on the person's hip. Data analysis was based ... Keywords: accelerometer, body sensor, cumulants, gait identification, gait recognition, high-order statistics, pattern recognition

Sebastijan Sprager; Damjan Zazula

2009-11-01T23:59:59.000Z

193

Ion Stopping Powers and CT Numbers  

SciTech Connect

One of the advantages of ion beam therapy is the steep dose gradient produced near the ion's range. Use of this advantage makes knowledge of the stopping powers for all materials through which the beam passes critical. Most treatment planning systems calculate dose distributions using depth dose data measured in water and an algorithm that converts the kilovoltage X-ray computed tomography (CT) number of a given material to its linear stopping power relative to water. Some materials present in kilovoltage scans of patients and simulation phantoms do not lie on the standard tissue conversion curve. The relative linear stopping powers (RLSPs) of 21 different tissue substitutes and positioning, registration, immobilization, and beamline materials were measured in beams of protons accelerated to energies of 155, 200, and 250 MeV; carbon ions accelerated to 290 MeV/n; and iron ions accelerated to 970 MeV/n. These same materials were scanned with both kilovoltage and megavoltage CT scanners to obtain their CT numbers. Measured RLSPs and CT numbers were compared with calculated and/or literature values. Relationships of RLSPs to physical densities, electronic densities, kilovoltage CT numbers, megavoltage CT numbers, and water equivalence values converted by a treatment planning system are given. Usage of CT numbers and substitution of measured values into treatment plans to provide accurate patient and phantom simulations are discussed.

Moyers, Michael F., E-mail: MFMoyers@roadrunner.co [Department of Proton Therapy, Inc., Colton, CA (United States); Sardesai, Milind [Department of Long Beach Memorial Medical Center, Long Beach, CA (United States); Sun, Sean [Department of City of Hope National Medical Center, Duarte, CA (United States); Miller, Daniel W. [Department of Loma Linda University Medical Center, Loma Linda, CA (United States)

2010-10-01T23:59:59.000Z

194

CYBER-RELATED CRITICAL INFRASTRUCTURE IDENTIFICATION AND PROTECTION...  

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

CYBER-RELATED CRITICAL INFRASTRUCTURE IDENTIFICATION AND PROTECTION MEASURES, IG-0545 CYBER-RELATED CRITICAL INFRASTRUCTURE IDENTIFICATION AND PROTECTION MEASURES, IG-0545 In...

195

Expert system for identification of simultaneous and sequential reactor fuel failures with gas tagging  

DOE Patents (OSTI)

Failure of a fuel element in a nuclear reactor core is determined by a gas tagging failure detection system and method. Failures are catalogued and characterized after the event so that samples of the reactor's cover gas are taken at regular intervals and analyzed by mass spectroscopy. Employing a first set of systematic heuristic rules which are applied in a transformed node space allows the number of node combinations which must be processed within a barycentric algorithm to be substantially reduced. A second set of heuristic rules treats the tag nodes of the most recent one or two leakers as "background" gases, further reducing the number of trial node combinations. Lastly, a "fuzzy" set theory formalism minimizes experimental uncertainties in the identification of the most likely volumes of tag gases. This approach allows for the identification of virtually any number of sequential leaks and up to five simultaneous gas leaks from fuel elements.

Gross, Kenny C. (Bolingbrook, IL)

1994-01-01T23:59:59.000Z

196

Climate Zone Number 7 | Open Energy Information  

Open Energy Info (EERE)

Climate Zone Number 7 Climate Zone Number 7 Jump to: navigation, search A type of climate defined in the ASHRAE 169-2006 standard. Climate Zone Number 7 is defined as Very Cold with IP Units 9000 < HDD65ºF ≤ 12600 and SI Units 5000 < HDD18ºC ≤ 7000 . The following places are categorized as class 7 climate zones: Aitkin County, Minnesota Aleutians East Borough, Alaska Aleutians West Census Area, Alaska Anchorage Borough, Alaska Aroostook County, Maine Ashland County, Wisconsin Baraga County, Michigan Barnes County, North Dakota Bayfield County, Wisconsin Becker County, Minnesota Beltrami County, Minnesota Benson County, North Dakota Bottineau County, North Dakota Bristol Bay Borough, Alaska Burke County, North Dakota Burnett County, Wisconsin Carlton County, Minnesota Cass County, Minnesota

197

Microsoft Word - Document Numbering Plan.doc  

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

document Number Plan 11/3/2005 document Number Plan 11/3/2005 All documents numbers start with a 9 9 _ _ ___ | | | | | Document per chart | Generation (i.e. PSS has 1,2&3, FEEPS has 1&2) Use 0 when the document doesn't apply to any of these System 0- Non system Specific (group wide) 1- PSS 2- Reserved for PSS expansion 3- FEEPS 4- Reserved for FEEPS expansion 5- BLEPS 6- Reserved for BLEPS expansion 7- DIW 8- Reserved for future use 9- Reserved for future use 000-099 Requirements 000 - Statement of work For x.1.4.1.4 - Design Statement of Work For Beamlines - Installation Statement of Work 001-009 Reserved for Statement of Works for upgrade, revisions, add-ons, etc. 010 - Cost Estimate 011-019 Additional Cost Estimates

198

Notices OMB Control Number: 1850-0803.  

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

870 Federal Register 870 Federal Register / Vol. 78, No. 140 / Monday, July 22, 2013 / Notices OMB Control Number: 1850-0803. Type of Review: Extension without change of an existing collection of information. Respondents/Affected Public: Individuals or households. Total Estimated Number of Annual Responses: 135,000. Total Estimated Number of Annual Burden Hours: 27,000. Abstract: This is a request for a 3-year renewal of the generic clearance to allow the National Center for Education Statistics (NCES) to continue to develop, test, and improve its survey and assessment instruments and methodologies. The procedures utilized to this effect include but are not limited to experiments with levels of incentives for various types of survey operations, focus groups, cognitive laboratory

199

Climate Zone Number 3 | Open Energy Information  

Open Energy Info (EERE)

Number 3 Number 3 Jump to: navigation, search A type of climate defined in the ASHRAE 169-2006 standard. Climate Zone Number 3 is defined as Warm - Humid(3A) with IP Units 4500 < CDD50ºF ≤ 6300 and SI Units 2500 < CDD10ºC < 3500 Dry(3B) with IP Units 4500 < CDD50ºF ≤ 6300 and SI Units 2500 < CDD10ºC < 3500 Warm - Marine(3C) with IP Units CDD50ºF ≤ 4500 AND HDD65ºF ≤ 3600 and SI Units CDD10ºC ≤ 2500 AND HDD18ºC ≤ 2000 . The following places are categorized as class 3 climate zones: Abbeville County, South Carolina Adair County, Oklahoma Adams County, Mississippi Aiken County, South Carolina Alameda County, California Alcorn County, Mississippi Alfalfa County, Oklahoma Allendale County, South Carolina Amite County, Mississippi Anderson County, South Carolina

200

SPRNG Parallel Random Number Generators at NERSC  

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

SPRNG SPRNG SPRNG Description The SPRNG libraries of generators produce good quality random numbers, and are also fast. They have been subjected to some of the largest random number tests, with around 10^13 RNs per test. SPRNG provides both FORTRAN and C (also C++) interfaces for the use of the parallel random number generators. Access SPRNG v2.0 is available on Carver (gcc, intel and pgi) and Cray systems (pgi and cce). Use the module utility to load the software. module load sprng Using SPRNG On Cray systems: ftn sprng_test.F $SPRNG -lsprng On Carver: mpif90 sprng_test.F $SPRNG -lsprng Documentation On Carver there are various documents in $SPRNG/DOCS and various examples in $SPRNG/EXAMPLES. See the SPRNG web site at Florida State University for complete details. For help using SPRNG at NERSC contact the

Note: This page contains sample records for the topic "identification number shown" 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

Towards a Number Theoretic Discrete Hilbert Transform  

E-Print Network (OSTI)

This paper presents an approach for the development of a number theoretic discrete Hilbert transform. The forward transformation has been applied by taking the odd reciprocals that occur in the DHT matrix with respect to a power of 2. Specifically, the expression for a 16-point transform is provided and results of a few representative signals are provided. The inverse transform is the inverse of the forward 16-point matrix. But at this time the inverse transform is not identical to the forward transform and, therefore, our proposed number theoretic transform must be taken as a provisional result.

Kandregula, Renuka

2009-01-01T23:59:59.000Z

202

Insertion loss classEnhancing the single number rating system for duct silencers  

Science Conference Proceedings (OSTI)

Single number rating systems have been used successfully to select architectural acoustics products for many years. Recently a single number rating system was proposed to evaluate sound attenuators in HVAC applications. The proposed system does not include the very low frequencies. This paper discusses the addition of the 31 Hz octave band to the proposed standard contour for calculating insertion loss class (ILC). A number of examples are shown using actual published silencer test data how the system can be applied to common HVAC noise problems.

2005-01-01T23:59:59.000Z

203

Parallel performance of the XL Fortran random{_}number intrinsic function on Seaborg  

SciTech Connect

The Fortran intrinsic function random{_}number is shown to perform very poorly when simultaneously called from 16 tasks per node on NERSC's IBM SP Seaborg in its default runtime configuration. Setting the runtime option intrinthds=16 improves runtime performance significantly and gives good results for all possible numbers of tasks per node. It is speculated that the cause of the problem is the creation of an excessive number of threads in the default configuration. It is noted that these threads appear to be created by default, without specifying a ''thread-safe'' compiler or other user interaction.

Gerber, Richard A.

2003-07-30T23:59:59.000Z

204

Drilling Waste Management Technology Identification Module  

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

you are in this section Technology Identification you are in this section Technology Identification Home » Technology Identification Drilling Waste Management Technology Identification Module The Technology Identification Module is an interactive tool for identifying appropriate drilling waste management strategies for a given well location and circumstances. The Technology Identification Module follows the philosophy of a waste management hierarchy. Waste management options with the lowest environmental impacts are encouraged ahead of those with more significant environmental impacts. The Technology Identification Module helps identify waste management options, but users should also consider their own site-specific costs and waste volumes. How it Works Users will be asked to answer a series of questions about the location of the well site, physical features of the site that may allow or inhibit the use of various options, whether the regulatory agency with jurisdiction allows or prohibits particular options, and whether cost or the user's company policy would preclude any options. Nearly all questions are set up for only "yes" or "no" responses. Depending on how the initial questions are answered, users will face from 15 to 35 total questions. Some of these can be answered immediately, while others may require some additional investigation of other portions of this web site or external information. Suitable options will be identified as users complete the questions, and users will be able to print out a summary of suitable options when the process is completed.

205

Lowering Power using the Voltage Identification Bit  

E-Print Network (OSTI)

Voltage identification is a form of adaptive voltage scaling (AVS). The voltage-identification technique described in this application note enables certain devices in the Virtex-7 family to be operated at a lower voltage of 0.9V while delivering the same specified performance as that of a device operating at the nominal supply voltage of 1.0V. Voltage identification capable devices consume approximately 30 % lower worst case (maximum) static power and correspondingly dissipate less heat. Reduced power consumption is a desirable characteristic and one that Xilinx 7 series FPGAs fulfill in multiple ways. The primary purpose of the voltage-identification technique is to reduce the worst-case power consumption of-1C devices. However, the significance of the voltage-identification technique goes beyond an individual device dissipating less energy, it also can lower the overall system cost. Power supplies and thermal management requirements are normally specified based on the worst-case power demands of all the systems components. Although the 7 series FPGAs-1C devices are the most cost-effective, the total cost of a product is the sum of all parts, and costs associated with the power supply and thermal management can be significant. The voltage-identification technique specifically reduces worst-case power consumption, which reduces the overall costs associated with specifying a larger power supply, requiring a heat sink, adding forced air cooling, or including similar devices. This application note shows the technical aspects of implementing the voltage-identification technique and introduces a reference design for the VC707 evaluation kit. It also explains how voltage identification fits into the complete power portfolio of Virtex-7 FPGAs and highlights the benefits of using the voltage-identification technique to reduce power consumption and system costs.

Ken Chapman; Jameel Hussein

2012-01-01T23:59:59.000Z

206

Beamline Phone Numbers| Advanced Photon Source  

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

Interactive Map Interactive Map Beamlines Map Beamlines Directory Techniques Directory Sectors Directory Beamline Phone Numbers Status and Schedule Beamline Phone Numbers From on-site, dial 2, then a number listed below. From off-site, dial 630-252 and a number listed below. Sector 1 1-BM-A: 1701 1-BM-C: 5468 1-ID: 1801 Sector 2 2-BM: 1702 2-ID-B: 1628 2-ID-D: 1802 2-ID-E: 3711 Sector 3 3-ID: 1803 Sector 4 4-ID-C: 1704 4-ID-D: 1804 Sector 5 5-BM: 1705 5-ID: 1805 Sector 6 6-ID-B: 1806 6-ID-C: 1406 6-ID-D: 1606 Sector 7 7-ID-B: 1607 7-ID-C: 1707 7-ID-D: 1807 7-ID-E: 1207 Sector 8 8-ID-E: 1908 8-ID-I: 1808 Sector 9 9-BM-B: 1709 9-ID-B: 0349 9-ID-C: 1809 Column 95: 4705 Sector 10 10-BM-B: 6792 10-ID-B: 1710 Sector 11 11-BM-B: 5877 11-ID-B: 1711 11-ID-C: 1711 11-ID-D: 2162 Laser lab: 0379 Sector 12 12-BM-B: 0378 12-ID-B,C: 1712

207

Utah Number of Natural Gas Consumers  

Annual Energy Outlook 2012 (EIA)

754,554 778,644 794,880 810,442 821,525 830,219 1987-2011 Sales 754,554 821,525 830,219 1997-2011 Commercial Number of Consumers 55,821 57,741 59,502 60,781 61,976 62,885 1987-2011...

208

Michigan Number of Natural Gas Consumers  

Annual Energy Outlook 2012 (EIA)

1997-2011 Commercial Number of Consumers 254,923 253,139 252,382 252,017 249,309 249,456 1987-2011 Sales 236,447 217,325 213,995 1998-2011 Transported 18,476 31,984 35,461...

209

Illinois Number of Natural Gas Consumers  

Annual Energy Outlook 2012 (EIA)

,812,121 3,845,441 3,869,308 3,839,438 3,842,206 3,855,997 1987-2011 Sales 3,619,628 3,568,120 3,594,102 1997-2011 Transported 192,493 274,086 261,895 1997-2011 Commercial Number...

210

Wisconsin Number of Natural Gas Consumers  

Annual Energy Outlook 2012 (EIA)

,611,772 1,632,200 1,646,644 1,656,614 1,663,583 1,671,834 1987-2011 Sales 1,611,772 1,663,583 1,671,834 1997-2011 Transported 0 0 0 1997-2011 Commercial Number of Consumers...

211

New Jersey Number of Natural Gas Consumers  

U.S. Energy Information Administration (EIA)

Number of Consumers: 8,245: 8,036: 7,680: 7,871: 7,505: 7,391: 1987-2011: Sales: 7,248 : 6,282: 6,036: 1998-2011: Transported: 997 : 1,223: 1,355: 1998-2011: Average ...

212

On crossing numbers of geometric proximity graphs  

Science Conference Proceedings (OSTI)

Let P be a set of n points in the plane. A geometric proximity graph on P is a graph where two points are connected by a straight-line segment if they satisfy some prescribed proximity rule. We consider four classes of higher order proximity graphs, ... Keywords: Crossing number, Geometric graphs, Proximity graphs

Bernardo M. brego; Ruy Fabila-Monroy; Silvia Fernndez-Merchant; David Flores-Pealoza; Ferran Hurtado; Vera Sacristn; Maria Saumell

2011-05-01T23:59:59.000Z

213

Colorado Number of Natural Gas Consumers  

Gasoline and Diesel Fuel Update (EIA)

,558,911 1,583,945 1,606,602 1,622,434 1,634,587 1,645,716 1986-2011 Sales 1,558,908 1,634,582 1,645,711 1997-2011 Transported 3 5 5 1997-2011 Commercial Number of Consumers...

214

Number of Award Federal Agencies Awards Amount  

E-Print Network (OSTI)

Universities 30 2,886,684 State of Colorado** 35 2,210,660 Miscellaneous agencies 11 498 the University of Colorado and Colorado State University Colorado School of Mines Awards by Funding Agency FiscalNumber of Award Federal Agencies Awards Amount Department of Agriculture Department of Commerce 4

215

Number of Award Federal Agencies Awards Amount  

E-Print Network (OSTI)

289 13,089,070 Other Universities 31 2,399,092 State of Colorado** 27 2,139,037 Miscellaneous agencies the University of Colorado and Colorado State University Colorado School of Mines Awards by Funding Agency FiscalNumber of Award Federal Agencies Awards Amount Department of Agriculture 1 499,815 Department

216

Number of Award Federal Agencies Awards Amount  

E-Print Network (OSTI)

,739,813 State of Colorado** 26 1,846,825 Miscellaneous agencies 10 697,285 326 29,281,431 Total Awards ReceivedNumber of Award Federal Agencies Awards Amount Department of Commerce 2 25,613 Department 215,000 Environmental Protection Agency 0 - National Aeronautics and Space Administration 1 30

217

Number of Award Federal Agencies Awards Amount  

E-Print Network (OSTI)

,096,445 State of Colorado 22 1,007,618 Miscellaneous agencies 10 514,288 327 24,608,655 Total Awards ReceivedNumber of Award Federal Agencies Awards Amount Department of Commerce 3 117,227 Department,385,219 Environmental Protection Agency 1 21,602 National Aeronautics and Space Administration 5 703,140 National

218

The New Element Curium (Atomic Number 96)  

DOE R&D Accomplishments (OSTI)

Two isotopes of the element with atomic number 96 have been produced by the helium-ion bombardment of plutonium. The name curium, symbol Cm, is proposed for element 96. The chemical experiments indicate that the most stable oxidation state of curium is the III state.

Seaborg, G. T.; James, R. A.; Ghiorso, A.

1948-00-00T23:59:59.000Z

219

Vermont Number of Natural Gas Consumers  

Gasoline and Diesel Fuel Update (EIA)

34,081 34,937 35,929 37,242 38,047 38,839 1987-2011 Sales 34,081 38,047 38,839 1997-2011 Commercial Number of Consumers 4,861 4,925 4,980 5,085 5,137 5,256 1987-2011 Sales 4,861...

220

Octane Number Prediction in a Reforming Plant  

Science Conference Proceedings (OSTI)

In this work a neural network for the prediction of the complex and non-linear behavior of a Catalytic Reforming of a refinery has been developed. In a fuel, refinery reforming is a conversion process to increase octane number (RON) of the desulphurated ...

E. Chibaro

2000-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "identification number shown" 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

Michigan Number of Natural Gas Consumers  

Annual Energy Outlook 2012 (EIA)

3,193,920 3,188,152 3,172,623 3,169,026 3,152,468 3,153,895 1987-2011 Sales 3,066,542 2,952,550 2,946,507 1997-2011 Transported 127,378 199,918 207,388 1997-2011 Commercial Number...

222

Idaho Number of Natural Gas Consumers  

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

23,114 336,191 342,277 346,602 350,871 353,963 1987-2012 Sales 346,602 350,871 353,963 1997-2012 Commercial Number of Consumers 33,767 37,320 38,245 38,506 38,912 39,202 1987-2012...

223

Table B14. Number of Establishments in Building, Number of Buildings, 1999  

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

4. Number of Establishments in Building, Number of Buildings, 1999" 4. Number of Establishments in Building, Number of Buildings, 1999" ,"Number of Buildings (thousand)" ,"All Buildings","Number of Establishments in Building" ,,"One","Two to Five","Six to Ten","Eleven to Twenty","More than Twenty","Currently Unoccupied" "All Buildings ................",4657,3528,688,114,48,27,251 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",2348,1897,272,"Q","Q","Q",164 "5,001 to 10,000 ..............",1110,802,222,17,"Q","Q","Q" "10,001 to 25,000 .............",708,506,121,51,12,"Q",17 "25,001 to 50,000 .............",257,184,33,15,15,"Q","Q"

224

Video Source Identification in Lossy Wireless Networks Shaxun Chen  

E-Print Network (OSTI)

porn or racial hatred. Video source identification can be used to regulate the individual video sources

California at Davis, University of

225

Metaphor Identification in Large Texts Corpora  

E-Print Network (OSTI)

Identifying metaphorical language-use (e.g., sweet child) is one of the challenges facing natural language processing. This paper describes three novel algorithms for automatic metaphor identification. The algorithms are ...

Neuman, Yair

226

Security approaches for Radio Frequency Identification systems  

E-Print Network (OSTI)

In this thesis, I explore the challenges related to the security of the Electronic Product Code (EPC) class of Radio Frequency Identification (RFID) tags and associated data. RFID systems can be used to improve supply chain ...

Foley, Joseph Timothy, 1976-

2007-01-01T23:59:59.000Z

227

Radio Frequency Identification : regulating information privacy protection  

E-Print Network (OSTI)

As applications of Radio Frequency Identification (RFID) become more profuse, the technology itself is stirring up some controversy. Due to its potential for amassing large amounts of information about both people and ...

Laufer, Deanna (Deanna Raquel)

2007-01-01T23:59:59.000Z

228

ASSIST: access controlled ship identification streams  

Science Conference Proceedings (OSTI)

The International Maritime Organization (IMO) requires a majority of cargo and passenger ships to use the Automatic Identification System (AIS) for navigation safety and traffic control. Distributing live AIS data on the Internet can offer a global view ...

Baljeet Malhotra; Wee-Juan Tan; Jianneng Cao; Thomas Kister; Stphane Bressan; Kian-Lee Tan

2011-11-01T23:59:59.000Z

229

Hammerstein Models for Identification of Stochastic Systems  

Science Conference Proceedings (OSTI)

Identification of nonlinear stochastic systems in the class of Hammerstein models is investigated with regard for the nonlinearities of the investigated object. Hammerstein models are constructed with regard for the output noise in the form of a martingale ...

G. R. Bolkvadze

2003-01-01T23:59:59.000Z

230

Identification of Information in Decision Systems  

E-Print Network (OSTI)

Extending unique identification to non-physical objects (data, information, decisions, knowledge) is a challenging problem in systems engineering. The tools and technologies available for naming physical objects may soon ...

Datta, Shoumen

2007-01-01T23:59:59.000Z

231

Prefix-based node numbering for temporal XML  

Science Conference Proceedings (OSTI)

Prefix-based numbering (also called Dewey numbering, Dewey level order, or dynamic level numbering) is a popular method for numbering nodes in an XML data model instance. The nodes are numbered so that spatial relationships (e.g., is a node a descendant ... Keywords: Dewey numbering, XML, prefix-based numbering, temporal, versioning

Curtis E. Dyreson; Kalyan G. Mekala

2011-10-01T23:59:59.000Z

232

Battling bird flu by the numbers  

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

May » May » Battling bird flu by the numbers Battling bird flu by the numbers Lab theorists have developed a mathematical tool that could help health experts and crisis managers determine in real time whether an emerging infectious disease such as avian influenza H5N1 is poised to spread globally. May 27, 2008 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new materials. Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy

233

Contractor: Contract Number: Contract Type: Total Estimated  

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

Number: Number: Contract Type: Total Estimated Contract Cost: Performance Period Total Fee Earned FY2008 $2,550,203 FY2009 $39,646,446 FY2010 $64,874,187 FY2011 $66,253,207 FY2012 $41,492,503 FY2013 $0 FY2014 FY2015 FY2016 FY2017 FY2018 Cumulative Fee Earned $214,816,546 Fee Available $2,550,203 Minimum Fee $77,931,569 $69,660,249 Savannah River Nuclear Solutions LLC $458,687,779 $0 Maximum Fee Fee Information $88,851,963 EM Contractor Fee Site: Savannah River Site Office, Aiken, SC Contract Name: Management & Operating Contract September 2013 DE-AC09-08SR22470

234

Sensitivity in risk analyses with uncertain numbers.  

SciTech Connect

Sensitivity analysis is a study of how changes in the inputs to a model influence the results of the model. Many techniques have recently been proposed for use when the model is probabilistic. This report considers the related problem of sensitivity analysis when the model includes uncertain numbers that can involve both aleatory and epistemic uncertainty and the method of calculation is Dempster-Shafer evidence theory or probability bounds analysis. Some traditional methods for sensitivity analysis generalize directly for use with uncertain numbers, but, in some respects, sensitivity analysis for these analyses differs from traditional deterministic or probabilistic sensitivity analyses. A case study of a dike reliability assessment illustrates several methods of sensitivity analysis, including traditional probabilistic assessment, local derivatives, and a ''pinching'' strategy that hypothetically reduces the epistemic uncertainty or aleatory uncertainty, or both, in an input variable to estimate the reduction of uncertainty in the outputs. The prospects for applying the methods to black box models are also considered.

Tucker, W. Troy; Ferson, Scott

2006-06-01T23:59:59.000Z

235

AMR for low Mach number reacting flow  

Science Conference Proceedings (OSTI)

We present a summary of recent progress on the development and application of adaptive mesh refinement algorithms for low Mach number reacting flows. Our approach uses a form of the low Mach number equations based on a general equation of state that discretely conserves both mass and energy. The discretization methodology is based on a robust projection formulation that accommodates large density contrasts. The algorithm supports modeling of multicomponent systems and incorporates an operator-split treatment of stiff reaction terms. The basic computational approach is embedded in an adaptive projection framework that uses structured hierarchical grids with subcycling in time that preserves the discrete conservation properties of the underlying single-grid algorithm. We present numerical examples illustrating the application of the methodology to turbulent premixed combustion and nuclear flames in type Ia supernovae.

Bell, John B.

2004-01-16T23:59:59.000Z

236

Entanglement Distillation Protocols and Number Theory  

E-Print Network (OSTI)

We show that the analysis of entanglement distillation protocols for qudits of arbitrary dimension $D$ benefits from applying basic concepts from number theory, since the set $\\zdn$ associated to Bell diagonal states is a module rather than a vector space. We find that a partition of $\\zdn$ into divisor classes characterizes the invariant properties of mixed Bell diagonal states under local permutations. We construct a very general class of recursion protocols by means of unitary operations implementing these local permutations. We study these distillation protocols depending on whether we use twirling operations in the intermediate steps or not, and we study them both analitically and numerically with Monte Carlo methods. In the absence of twirling operations, we construct extensions of the quantum privacy algorithms valid for secure communications with qudits of any dimension $D$. When $D$ is a prime number, we show that distillation protocols are optimal both qualitatively and quantitatively.

H. Bombin; M. A. Martin-Delgado

2005-03-01T23:59:59.000Z

237

Case Numbers: TBH-0063, TBZ-0063  

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

May 21, 2008 May 21, 2008 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Initial Agency Decision Motion To Dismiss Name of Case: Richard L. Urie Dates of Filing: May 15, 2007 July 19, 2007 Case Numbers: TBH-0063 TBZ-0063 This Decision concerns a Complaint filed by Richard L. Urie (hereinafter referred to as "Mr. Urie" or "the Complainant") against Los Alamos National Laboratory (hereinafter referred to as "LANL" or "the Respondent"), his former employer, under the Department of Energy's (DOE) Contractor

238

Faster Quantum Number Factoring via Circuit Synthesis  

E-Print Network (OSTI)

A major obstacle to implementing Shor's quantum number-factoring algorithm is the large size of modular-exponentiation circuits. We reduce this bottleneck by customizing reversible circuits for modular multiplication to individual runs of Shor's algorithm. Our circuit-synthesis procedure exploits spectral properties of multiplication operators and constructs optimized circuits from the traces of the execution of an appropriate GCD algorithm. Empirically, gate counts are reduced by 4-5 times, and circuit latency is reduced by larger factors.

Igor L. Markov; Mehdi Saeedi

2013-01-15T23:59:59.000Z

239

Higgs Quantum Numbers in Weak Boson Fusion  

E-Print Network (OSTI)

Recently, the ATLAS and CMS experiments have reported the discovery of a Higgs like resonance at the LHC. The next analysis step will include the determination of its spin and CP quantum numbers or the form of its interaction Lagrangian channel-by-channel. We show how weak-boson-fusion Higgs production and associated ZH production can be used to separate different spin and CP states.

C. Englert; D. Goncalves-Netto; K. Mawatari; T. Plehn

2012-12-04T23:59:59.000Z

240

Property:PhoneNumber | Open Energy Information  

Open Energy Info (EERE)

PhoneNumber PhoneNumber Jump to: navigation, search This is a property of type String. Pages using the property "PhoneNumber" Showing 25 pages using this property. (previous 25) (next 25) 1 1st Light Energy, Inc. + 209-824-5500 + 2 21-Century Silicon, Inc. + 972-591-0713 + 3 3Degrees + 415.449.0500 + 3M + 1-888-364-3577 + 4 4C Offshore Limited + +44 (0)1502 509260 + 4th Day Energy + 877-484-3291 + @ @Ventures (California) + (650) 322-3246 + @Ventures (Massachusetts) + (978) 658-8980 + A A.J. Rose Manufacturing Company + 440-934-2859 + A.O. Smith + 414-359-4000 + A1 Sun, Inc. + (510) 526-5715 + A10 Power + 415-729-4A10 or 415-729-4210 + ABC Solar, Inc. + 1-866-40-SOLAR + ABS Alaskan Inc + (800) 235-0689 + ACME solar works + 877-226-3004 + ACORE + 202-393-0001 +

Note: This page contains sample records for the topic "identification number shown" 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

[Federal Register: April 19, 2006 (Volume 71, Number 75)] | Department...  

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

Federal Register: April 19, 2006 (Volume 71, Number 75) Federal Register: April 19, 2006 (Volume 71, Number 75) Federal Register: April 19, 2006 (Volume 71, Number 75) More...

242

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

1 1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

243

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

9 9 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

244

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

9 9 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

245

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

1 1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 7,279 6,446 3,785 3,474 3,525 Total................................................................... 7,279 6,446 3,785 3,474 3,525 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 7,279 6,446 3,785 3,474 3,525 Nonhydrocarbon Gases Removed ..................... 788 736 431

246

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

5 5 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 15,206 15,357 16,957 17,387 18,120 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 463,929 423,672 401,396 369,624 350,413 From Oil Wells.................................................. 63,222 57,773 54,736 50,403 47,784 Total................................................................... 527,151 481,445 456,132 420,027 398,197 Repressuring ...................................................... 896 818 775 714 677 Vented and Flared.............................................. 527 481 456 420 398 Wet After Lease Separation................................

247

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 9 8 7 9 6 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 368 305 300 443 331 From Oil Wells.................................................. 1 1 0 0 0 Total................................................................... 368 307 301 443 331 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 368 307 301 443 331 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

248

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 98 96 106 109 111 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 869 886 904 1,187 1,229 From Oil Wells.................................................. 349 322 288 279 269 Total................................................................... 1,218 1,208 1,193 1,466 1,499 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 5 12 23 Wet After Lease Separation................................ 1,218 1,208 1,188 1,454 1,476 Nonhydrocarbon Gases Removed .....................

249

Notices Total Estimated Number of Annual  

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

72 Federal Register 72 Federal Register / Vol. 78, No. 181 / Wednesday, September 18, 2013 / Notices Total Estimated Number of Annual Burden Hours: 10,128. Abstract: Enrollment in the Federal Student Aid (FSA) Student Aid Internet Gateway (SAIG) allows eligible entities to securely exchange Title IV, Higher Education Act (HEA) assistance programs data electronically with the Department of Education processors. Organizations establish Destination Point Administrators (DPAs) to transmit, receive, view and update student financial aid records using telecommunication software. Eligible respondents include the following, but are not limited to, institutions of higher education that participate in Title IV, HEA assistance programs, third-party servicers of eligible institutions,

250

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

9 9 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 4 4 4 4 4 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 7 7 6 6 5 Total................................................................... 7 7 6 6 5 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 7 7 6 6 5 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

251

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

3 3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

252

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

3 3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

253

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

3 3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

254

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

1 1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

255

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 380 350 400 430 280 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 1,150 2,000 2,050 1,803 2,100 Total................................................................... 1,150 2,000 2,050 1,803 2,100 Repressuring ...................................................... NA NA NA 0 NA Vented and Flared.............................................. NA NA NA 0 NA Wet After Lease Separation................................ 1,150 2,000 2,050 1,803 2,100 Nonhydrocarbon Gases Removed .....................

256

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

5 5 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

257

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

1 1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 1,502 1,533 1,545 2,291 2,386 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 899 1,064 1,309 1,464 3,401 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 899 1,064 1,309 1,464 3,401 Repressuring ...................................................... NA NA NA 0 NA Vented and Flared.............................................. NA NA NA 0 NA Wet After Lease Separation................................ 899 1,064 1,309 1,464 3,401 Nonhydrocarbon Gases Removed .....................

258

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

9 9 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

259

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

3 3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

260

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

Note: This page contains sample records for the topic "identification number shown" 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

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

3 3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 7 7 5 7 7 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 34 32 22 48 34 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 34 32 22 48 34 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 34 32 22 48 34 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

262

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

1 1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

263

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

1 1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ......................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells...................................................... 0 0 0 0 0 From Oil Wells........................................................ 0 0 0 0 0 Total......................................................................... 0 0 0 0 0 Repressuring ............................................................ 0 0 0 0 0 Vented and Flared .................................................... 0 0 0 0 0 Wet After Lease Separation...................................... 0 0 0 0 0 Nonhydrocarbon Gases Removed............................ 0 0 0 0 0 Marketed Production

264

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

265

Stockpile Stewardship Quarterly, Volume 2, Number 1  

National Nuclear Security Administration (NNSA)

1 * May 2012 1 * May 2012 Message from the Assistant Deputy Administrator for Stockpile Stewardship, Chris Deeney Defense Programs Stockpile Stewardship in Action Volume 2, Number 1 Inside this Issue 2 LANL and ANL Complete Groundbreaking Shock Experiments at the Advanced Photon Source 3 Characterization of Activity-Size-Distribution of Nuclear Fallout 5 Modeling Mix in High-Energy-Density Plasma 6 Quality Input for Microscopic Fission Theory 8 Fiber Reinforced Composites Under Pressure: A Case Study in Non-hydrostatic Behavior in the Diamond Anvil Cell 8 Emission of Shocked Inhomogeneous Materials 9 2012 NNSA Stewardship Science Academic

266

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

3 3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

267

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 17 20 18 15 15 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 1,412 1,112 837 731 467 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 1,412 1,112 837 731 467 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 1,412 1,112 837 731 467 Nonhydrocarbon Gases Removed ..................... 198 3 0 0 0 Marketed Production

268

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

269

Risk communication: Uncertainties and the numbers game  

Science Conference Proceedings (OSTI)

The science of risk assessment seeks to characterize the potential risk in situations that may pose hazards to human health or the environment. However, the conclusions reached by the scientists and engineers are not an end in themselves - they are passed on to the involved companies, government agencies, legislators, and the public. All interested parties must then decide what to do with the information. Risk communication is a type of technical communication that involves some unique challenges. This paper first defines the relationships between risk assessment, risk management, and risk communication and then explores two issues in risk communication: addressing uncertainty and putting risk number into perspective.

Ortigara, M. [ed.

1995-08-30T23:59:59.000Z

270

The New Element Berkelium (Atomic Number 97)  

DOE R&D Accomplishments (OSTI)

An isotope of the element with atomic number 97 has been discovered as a product of the helium-ion bombardment of americium. The name berkelium, symbol Bk, is proposed for element 97. The chemical separation of element 97 from the target material and other reaction products was made by combinations of precipitation and ion exchange adsorption methods making use of its anticipated (III) and (IV) oxidation states and its position as a member of the actinide transition series. The distinctive chemical properties made use of in its separation and the equally distinctive decay properties of the particular isotope constitute the principal evidence for the new element.

Seaborg, G. T.; Thompson, S. G.; Ghiorso, A.

1950-04-26T23:59:59.000Z

271

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

5 5 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

272

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

3 3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

273

Basophile: Accurate Fragment Charge State Prediction Improves Peptide Identification Rates  

SciTech Connect

In shotgun proteomics, database search algorithms rely on fragmentation models to predict fragment ions that should be observed for a given peptide sequence. The most widely used strategy (Naive model) is oversimplified, cleaving all peptide bonds with equal probability to produce fragments of all charges below that of the precursor ion. More accurate models, based on fragmentation simulation, are too computationally intensive for on-the-fly use in database search algorithms. We have created an ordinal-regression-based model called Basophile that takes fragment size and basic residue distribution into account when determining the charge retention during CID/higher-energy collision induced dissociation (HCD) of charged peptides. This model improves the accuracy of predictions by reducing the number of unnecessary fragments that are routinely predicted for highly-charged precursors. Basophile increased the identification rates by 26% (on average) over the Naive model, when analyzing triply-charged precursors from ion trap data. Basophile achieves simplicity and speed by solving the prediction problem with an ordinal regression equation, which can be incorporated into any database search software for shotgun proteomic identification.

Wang, Dong; Dasari, Surendra; Chambers, Matthew C.; Holman, Jerry D.; Chen, Kan; Liebler, Daniel; Orton, Daniel J.; Purvine, Samuel O.; Monroe, Matthew E.; Chung, Chang Y.; Rose, Kristie L.; Tabb, David L.

2013-04-08T23:59:59.000Z

274

Spectroscopy identification performance enhancement of a novel CZT/CsI hybrid system  

Science Conference Proceedings (OSTI)

New hybrid spectroscopic systems directly combine spectra from detectors with very different energy resolutions, accommodating standard analyses of the output hybrid spectrum. Simulations of a hybrid system consisting of a 2 or 4 cm{sup 3} cadmium zinc telluride detector combined with a 32.8 cm{sup 3} CsI(Tl) were evaluated for identification performance. 29 nuclides of interest for security applications were simulated as singles and unique pairs, producing 435 spectral simulations at live times of 3, 10, 30, 100 and 300 seconds. The nuclides were modeled as point sources at 25 cm with activities that provide an interesting range of statistical significance for the range of counting times. Standard nuclide identification analyses were applied to the component detectors as well as the hybrid combination. Tallies of the results were used to calculate true and false identification rates. The hybrid system was shown to provide an identification performance benefit, consistently achieving performances closest to ideal relative to the separate component detectors. The hybrid approach enables the consideration of a greater variety of measurement system solutions in terms of cost and performance. (authors)

Russ, W.; Nakazawa, D.; Hau, I.; Morichi, M. [Canberra Industries, Inc., AREVA Company (United States)

2011-07-01T23:59:59.000Z

275

THE OPERATOR FOR THE CHROMATIC NUMBER OF A GRAPH  

E-Print Network (OSTI)

We introduce an operator mapping any graph parameter ( ), nested between the stability number ...... Local chromatic number and Sperner capacity. ?ournal.

276

A system identification approach for developing and parameterising an agroforestry system model under constrained availability of data  

Science Conference Proceedings (OSTI)

This paper introduces a system identification approach to overcome the problem of insufficient data when developing and parameterising an agroforestry system model. Typically, for these complex systems the number of available data points from actual ... Keywords: Agroforestry, Calibration, Constrained parameter optimization, Model adaptation, Real-world agroforestry experiment, Validation

Karel J. Keesman; Anil Graves; Wopke van der Werf; Paul J. Burgess; Joao Palma; Christian Dupraz; Herman van Keulen

2011-12-01T23:59:59.000Z

277

Weighted trapezoidal approximation-preserving cores of a fuzzy number  

Science Conference Proceedings (OSTI)

Recently, various researchers have proved that approximations of fuzzy numbers may fail to be fuzzy numbers. In this contribution, we suggest a new weighted trapezoidal approximation of an arbitrary fuzzy number, which preserves its cores. We prove that ... Keywords: Core of fuzzy number, Fuzzy numbers, Trapezoidal fuzzy numbers, Weighted approximation

S. Abbasbandy; T. Hajjari

2010-05-01T23:59:59.000Z

278

Case Numbers: TBH-0098, TBZ-0098  

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

November 9, 2010 November 9, 2010 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Motion to Dismiss Initial Agency Decision Names of Petitioners: Mark D. Siciliano Battelle Energy Alliance LLC Dates of Filings: March 15, 2010 August 16, 2010 Case Numbers: TBH-0098 TBZ-0098 This Decision will consider a Motion to Dismiss filed by Battelle Energy Alliance LLC (Battelle), the Management and Operating Contractor for the Department of Energy's (DOE) Idaho National Laboratory (INL), in connection with the pending Complaint of Retaliation filed by Mark Siciliano against Battelle under the DOE's Contractor Employee Protection Program and its governing regulations set forth at 10 C.F.R. Part 708. The Office of Hearings and Appeals

279

Case Numbers: TBH-0073, TBH-0075  

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

9, 2008 9, 2008 DECISION AND ORDER OF THE DEPARMENT OF ENERGY Initial Agency Decision Names of Petitioners: Jonathan K. Strausbaugh Richard L. Rieckenberg Date of Filing: February 1, 2008 Case Numbers: TBH-0073 TBH-0075 This Initial Agency Decision involves two whistleblower complaints, one filed by Jonathan K. Strausbaugh (Case No. TBH-0073) and the other filed by Richard L. Rieckenberg (Case No. TBH-0075) under the Department of Energy (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. Both complainants were employees of KSL Services, Inc. ("KSL" or "the contractor"), a contractor providing technical services on the site of the DOE Los Alamos National Laboratory (LANL) in Los Alamos, New Mexico, where they were employed until June 14, 2007. In their respective

280

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

5 5 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 21,507 32,672 33,279 34,334 35,612 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 1,473,792 1,466,833 1,476,204 1,487,451 1,604,709 From Oil Wells.................................................. 139,097 148,551 105,402 70,704 58,439 Total................................................................... 1,612,890 1,615,384 1,581,606 1,558,155 1,663,148 Repressuring ...................................................... NA NA NA 0 NA Vented and Flared.............................................. NA NA NA 0 NA Wet After Lease Separation................................

Note: This page contains sample records for the topic "identification number shown" 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

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

1 1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 94 95 100 117 117 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 13,527 13,846 15,130 14,524 15,565 From Oil Wells.................................................. 42,262 44,141 44,848 43,362 43,274 Total................................................................... 55,789 57,987 59,978 57,886 58,839 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 3,290 3,166 2,791 2,070 3,704 Wet After Lease Separation................................ 52,499 54,821 57,187 55,816 55,135

282

Case Numbers: TBH-0080, TBZ-0080  

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

7, 2009 7, 2009 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Order to Show Cause Motion for Summary Judgment Initial Agency Decision Name of Cases: Billy Joe Baptist Dates of Filing: December 19, 2008 February 18, 2009 Case Numbers: TBH-0080 TBZ-0080 This decision will consider an Order to Show Cause that I issued on February 3, 2009, regarding a March 6, 2008, whistleblower complaint filed by Billy Joe Baptist (Baptist) under the Department of Energy's (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708, against his employer, CH2M-WG Idaho, LLC (CWI). I will also consider in this decision as a Motion for Summary Judgment that CWI filed on February 18, 2009 regarding this complaint. Pursuant to Part 708, an OHA attorney conducted an investigation of Baptist's whistleblower

283

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

1 1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 997 1,143 979 427 437 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 109,041 131,608 142,070 156,727 171,915 From Oil Wells.................................................. 5,339 5,132 5,344 4,950 4,414 Total................................................................... 114,380 136,740 147,415 161,676 176,329 Repressuring ...................................................... 6,353 6,194 5,975 6,082 8,069 Vented and Flared.............................................. 2,477 2,961 3,267 3,501 3,493 Wet After Lease Separation................................

284

Climate Zone Number 5 | Open Energy Information  

Open Energy Info (EERE)

5 5 Jump to: navigation, search A type of climate defined in the ASHRAE 169-2006 standard. Climate Zone Number 5 is defined as Cool- Humid(5A) with IP Units 5400 < HDD65ºF ≤ 7200 and SI Units 3000 < HDD18ºC ≤ 4000 Dry(5B) with IP Units 5400 < HDD65ºF ≤ 7200 and SI Units 3000 < HDD18ºC ≤ 4000 Marine(5C) with IP Units 5400 < HDD65ºF ≤ 7200 and SI Units 3000 < HDD18ºC ≤ 4000 . The following places are categorized as class 5 climate zones: Ada County, Idaho Adair County, Iowa Adair County, Missouri Adams County, Colorado Adams County, Illinois Adams County, Indiana Adams County, Iowa Adams County, Nebraska Adams County, Pennsylvania Adams County, Washington Albany County, New York Allegan County, Michigan Alleghany County, North Carolina

285

Case Numbers: TBD-0073, TBD-0075  

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

16, 2008 16, 2008 DECISION AND ORDER OFFICE OF HEARINGS AND APPEALS Motion to Compel Discovery Case Names: Jonathan K. Strausbaugh Richard L. Rieckenberg Date of Filing: April 2, 2008 Case Numbers: TBD-0073 TBD-0075 Pending before me is a consolidated Motion to Compel Discovery filed with the Office of Hearings and Appeals (OHA) on behalf of Jonathan K. Strausbaugh and Richard L. Rieckenberg (the complainants) by their attorney. This Motion relates to a hearing requested by the complainants under the Department of Energy's Contractor Employee Protection Program, 10 C.F.R. Part 708 (Part 708), in connection with the Part 708 complaints they filed against KSL Services, Inc. (KSL). The OHA has assigned Mr. Strausbaugh's and Mr. Rieckenberg's hearing

286

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

9 9 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 36,000 40,100 40,830 42,437 44,227 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 150,000 130,853 157,800 159,827 197,217 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 150,000 130,853 157,800 159,827 197,217 Repressuring ...................................................... NA NA NA 0 NA Vented and Flared.............................................. NA NA NA 0 NA Wet After Lease Separation................................ 150,000 130,853 157,800 159,827 197,217

287

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

3 3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year.................................... 4,359 4,597 4,803 5,157 5,526 Production (million cubic feet) Gross Withdrawals From Gas Wells ................................................ 555,043 385,915 380,700 365,330 333,583 From Oil Wells .................................................. 6,501 6,066 5,802 5,580 5,153 Total................................................................... 561,544 391,981 386,502 370,910 338,735 Repressuring ...................................................... 13,988 12,758 10,050 4,062 1,307 Vented and Flared .............................................. 1,262 1,039 1,331 1,611 2,316 Wet After Lease Separation................................

288

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

5 5 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 3,321 4,331 4,544 4,539 4,971 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 61,974 71,985 76,053 78,175 87,292 From Oil Wells.................................................. 8,451 9,816 10,371 8,256 10,546 Total................................................................... 70,424 81,802 86,424 86,431 97,838 Repressuring ...................................................... 1 0 0 2 5 Vented and Flared.............................................. 488 404 349 403 1,071 Wet After Lease Separation................................ 69,936 81,397 86,075 86,027 96,762

289

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

5 5 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 3,051 3,521 3,429 3,506 3,870 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 71,545 71,543 76,915 R 143,644 152,495 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 71,545 71,543 76,915 R 143,644 152,495 Repressuring ...................................................... NA NA NA 0 NA Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 71,545 71,543 76,915 R 143,644 152,495 Nonhydrocarbon Gases Removed

290

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

5 5 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 33,948 35,217 35,873 37,100 38,574 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 1,484,269 1,484,856 1,432,966 1,391,916 1,397,934 From Oil Wells.................................................. 229,437 227,534 222,940 224,263 246,804 Total................................................................... 1,713,706 1,712,390 1,655,906 1,616,179 1,644,738 Repressuring ...................................................... 15,280 20,009 20,977 9,817 8,674 Vented and Flared.............................................. 3,130 3,256 2,849 2,347 3,525 Wet After Lease Separation................................

291

Title, Location, Document Number Estimated Cost Description  

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

Moody to Lev, SUBJECT: NEPA 2012 APS for DOE-SRS, Dated: JAN 25 2012 Moody to Lev, SUBJECT: NEPA 2012 APS for DOE-SRS, Dated: JAN 25 2012 Title, Location, Document Number Estimated Cost Description EA Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain FONSI: uncertain EA Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain FONSI: uncertain Total Estimated Cost $65,000 Annual NEPA Planning Summary NEPA Reviews of Proposals to Implement Enterprise SRS Initiatives unknown The Savannah River Site Strategic Plan for 2011 - 2015 describes 12 initiatives that Enterprise SRS will pursue by applying SRS's management core competencies in nuclear materials. Implementation of new missions resulting from this effort will likely require NEPA review. However, until firm proposals are developed

292

Case Numbers: TBH-0087, TBZ-0087  

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

January 22, 2010 January 22, 2010 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Initial Agency Decision Motion to Dismiss Name of Case: David P. Sanchez Dates of Filing: October 30, 2009 December 21, 2009 Case Numbers: TBH-0087 TBZ-0087 This Decision will consider a Motion to Dismiss filed by Los Alamos National Laboratory ("LANL" or "the Respondent"). LANL seeks dismissal of a pending complaint filed by David P. Sanchez ("Mr. Sanchez" or "the Complainant") against his employer, Los Alamos National Security, L. L. C. ("LANS"), 1 on October 30, 2009, under the Department of Energy's (DOE) Contractor Employee Protection Program, set for that 10 C.F.R. Part 708. OHA has assigned Mr. Sanchez' hearing request Case No. TBH-0087, and the present Motion to Dismiss Case No.

293

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 5,775 5,913 6,496 5,878 5,781 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 17,741 27,632 36,637 35,943 45,963 From Oil Wells.................................................. 16 155 179 194 87 Total................................................................... 17,757 27,787 36,816 36,137 46,050 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 17,757 27,787 36,816 36,137 46,050 Nonhydrocarbon Gases Removed

294

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

9 9 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 4,000 4,825 6,755 7,606 3,460 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 156,333 150,972 147,734 157,039 176,221 From Oil Wells.................................................. 15,524 16,263 14,388 12,915 11,088 Total................................................................... 171,857 167,235 162,122 169,953 187,310 Repressuring ...................................................... 8 0 0 0 0 Vented and Flared.............................................. 206 431 251 354 241 Wet After Lease Separation................................ 171,642 166,804

295

Mo Year Report Period: EIA ID NUMBER:  

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

Version No: 2013.01 Mo Year Report Period: EIA ID NUMBER: http://www.eia.gov/survey/form/eia_14/instructions.pdf Mailing Address: Secure File Transfer option available at: (e.g., PO Box, RR) https://signon.eia.doe.gov/upload/noticeoog.jsp Electronic Transmission: The PC Electronic Zip Code - Data Reporting Option (PEDRO) is available. If interested in software, call (202) 586-9659. Email form to: OOG.SURVEYS@eia.doe.gov - - - - Fax form to: (202) 586-9772 Mail form to: Oil & Gas Survey Email address: U.S. Department of Energy Ben Franklin Station PO Box 279 Washington, DC 20044-0279 Questions? Call toll free: 1-800-638-8812 PADD 4 Type of Report (Check One ): (Thousands of dollars) (Thousands of barrels) PADD 2 PADD 3 PAD DISTRICT (a) Revision to Report:

296

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

1 1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 4,178 4,601 3,005 3,220 3,657 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 244,826 264,809 260,554 254,488 259,432 From Oil Wells.................................................. 36,290 36,612 32,509 29,871 31,153 Total................................................................... 281,117 301,422 293,063 284,359 290,586 Repressuring ...................................................... 563 575 2,150 1,785 1,337 Vented and Flared.............................................. 1,941 1,847 955 705 688 Wet After Lease Separation................................

297

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 7,068 7,425 7,700 8,600 8,500 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 241,776 224,560 224,112 194,121 212,276 From Oil Wells.................................................. 60,444 56,140 56,028 48,530 53,069 Total................................................................... 302,220 280,700 280,140 242,651 265,345 Repressuring ...................................................... 2,340 2,340 2,340 2,340 2,340 Vented and Flared.............................................. 3,324 3,324 3,324 3,324 3,324 Wet After Lease Separation................................

298

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 13,487 14,370 14,367 12,900 13,920 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 81,545 81,723 88,259 87,608 94,259 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 81,545 81,723 88,259 87,608 94,259 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 81,545 81,723 88,259 87,608 94,259 Nonhydrocarbon Gases Removed

299

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

3 3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 33,897 33,917 34,593 33,828 33,828 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 98,551 97,272 97,154 87,993 85,018 From Oil Wells.................................................. 6,574 2,835 6,004 5,647 5,458 Total................................................................... 105,125 100,107 103,158 93,641 90,476 Repressuring ...................................................... NA NA NA 0 NA Vented and Flared.............................................. NA NA NA 0 NA Wet After Lease Separation................................ 105,125 100,107 103,158

300

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

9 9 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 42,475 42,000 45,000 46,203 47,117 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 264,139 191,889 190,249 187,723 197,217 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 264,139 191,889 190,249 187,723 197,217 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 264,139 191,889 190,249 187,723 197,217 Nonhydrocarbon Gases Removed

Note: This page contains sample records for the topic "identification number shown" 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

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

3 3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 9,907 13,978 15,608 18,154 20,244 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 1,188,657 1,467,331 1,572,728 1,652,504 1,736,136 From Oil Wells.................................................. 137,385 167,656 174,748 183,612 192,904 Total................................................................... 1,326,042 1,634,987 1,747,476 1,836,115 1,929,040 Repressuring ...................................................... 50,216 114,407 129,598 131,125 164,164 Vented and Flared.............................................. 9,945 7,462 12,356 16,685 16,848

302

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

5 5 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 71 68 69 61 61 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 648 563 531 550 531 From Oil Wells.................................................. 10,032 10,751 9,894 11,055 11,238 Total................................................................... 10,680 11,313 10,424 11,605 11,768 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 1,806 2,043 1,880 2,100 2,135 Wet After Lease Separation................................ 8,875 9,271 8,545 9,504 9,633 Nonhydrocarbon Gases Removed

303

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

9 9 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 60,577 63,704 65,779 68,572 72,237 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 5,859,358 4,897,366 4,828,188 4,947,589 5,074,067 From Oil Wells.................................................. 999,624 855,081 832,816 843,735 659,851 Total................................................................... 6,858,983 5,752,446 5,661,005 5,791,324 5,733,918 Repressuring ...................................................... 138,372 195,150 212,638 237,723 284,491 Vented and Flared.............................................. 32,010 26,823 27,379 23,781 26,947

304

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

9 9 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 15,700 16,350 17,100 16,939 20,734 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 4,260,529 1,398,981 1,282,137 1,283,513 1,293,204 From Oil Wells.................................................. 895,425 125,693 100,324 94,615 88,209 Total................................................................... 5,155,954 1,524,673 1,382,461 1,378,128 1,381,413 Repressuring ...................................................... 42,557 10,838 9,754 18,446 19,031 Vented and Flared.............................................. 20,266 11,750 10,957 9,283 5,015 Wet After Lease Separation................................

305

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

306

Ordered transport and identification of particles  

DOE Patents (OSTI)

A method and apparatus are provided for application of electrical field gradients to induce particle velocities to enable particle sequence and identification information to be obtained. Particle sequence is maintained by providing electroosmotic flow for an electrolytic solution in a particle transport tube. The transport tube and electrolytic solution are selected to provide an electroosmotic radius of >100 so that a plug flow profile is obtained for the electrolytic solution in the transport tube. Thus, particles are maintained in the same order in which they are introduced in the transport tube. When the particles also have known electrophoretic velocities, the field gradients introduce an electrophoretic velocity component onto the electroosmotic velocity. The time that the particles pass selected locations along the transport tube may then be detected and the electrophoretic velocity component calculated for particle identification. One particular application is the ordered transport and identification of labeled nucleotides sequentially cleaved from a strand of DNA.

Shera, E.B.

1993-05-11T23:59:59.000Z

307

Ordered transport and identification of particles  

DOE Patents (OSTI)

A method and apparatus are provided for application of electrical field gradients to induce particle velocities to enable particle sequence and identification information to be obtained. Particle sequence is maintained by providing electroosmotic flow for an electrolytic solution in a particle transport tube. The transport tube and electrolytic solution are selected to provide an electroosmotic radius of >100 so that a plug flow profile is obtained for the electrolytic solution in the transport tube. Thus, particles are maintained in the same order in which they are introduced in the transport tube. When the particles also have known electrophoretic velocities, the field gradients introduce an electrophoretic velocity component onto the electroosmotic velocity. The time that the particles pass selected locations along the transport tube may then be detected and the electrophoretic velocity component calculated for particle identification. One particular application is the ordered transport and identification of labeled nucleotides sequentially cleaved from a strand of DNA.

Shera, E. Brooks (Los Alamos, NM)

1993-01-01T23:59:59.000Z

308

NONLINEAR SMALL-SCALE DYNAMOS AT LOW MAGNETIC PRANDTL NUMBERS  

SciTech Connect

Saturated small-scale dynamo solutions driven by isotropic non-helical turbulence are presented at low magnetic Prandtl numbers Pr{sub M} down to 0.01. For Pr{sub M} < 0.1, most of the energy is dissipated via Joule heat and, in agreement with earlier results for helical large-scale dynamos, kinetic energy dissipation is shown to diminish proportional to Pr{sup 1/2}{sub M} down to values of 0.1. In agreement with earlier work, there is, in addition to a short Golitsyn k {sup -11/3} spectrum near the resistive scale, also some evidence for a short k {sup -1} spectrum on larger scales. The rms magnetic field strength of the small-scale dynamo is found to depend only weakly on the value of Pr{sub M} and decreases by about a factor of two as Pr{sub M} is decreased from 1 to 0.01. The possibility of dynamo action at Pr{sub M} = 0.1 in the nonlinear regime is argued to be a consequence of a suppression of the bottleneck seen in the kinetic energy spectrum in the absence of a dynamo and, more generally, a suppression of kinetic energy near the dissipation wavenumber.

Brandenburg, Axel, E-mail: brandenb@nordita.org [NORDITA, AlbaNova University Center, Roslagstullsbacken 23, SE-10691 Stockholm (Sweden); Department of Astronomy, Stockholm University, SE-10691 Stockholm (Sweden)

2011-11-10T23:59:59.000Z

309

About the logic of the prime number distribution  

E-Print Network (OSTI)

There are two basic number sequences which play a major role in the prime number distribution. The first Number Sequence SQ1 contains all prime numbers of the form 6n+5 and the second Number Sequence SQ2 contains all prime numbers of the form 6n+1. All existing prime numbers seem to be contained in these two number sequences, except of the prime numbers 2 and 3. Riemanns Zeta Function also seems to indicate, that there is a logical connection between the mentioned number sequences and the distribution of prime numbers. This connection is indicated by lines in the diagram of the Zeta Function, which are formed by the points s where the Zeta Function is real. Another key role in the distribution of the prime numbers plays the number 5 and its periodic occurrence in the two number sequences SQ1 and SQ2. All non-prime numbers in SQ1 and SQ2 are caused by recurrences of these two number sequences with increasing wave-lengths in themselves, in a similar fashion as Overtones (harmonics) or Undertones derive from a fundamental frequency. On the contrary prime numbers represent spots in these two basic Number Sequences SQ1 and SQ2 where there is no interference caused by these recurring number sequences. The distribution of the non-prime numbers and prime numbers can be described in a graphical way with a -Wave Model- (or Interference Model) -- see Table 2.

Harry K. Hahn

2008-01-28T23:59:59.000Z

310

Single-bridge unit-connected HVDC generation with increased pulse number  

Science Conference Proceedings (OSTI)

A true unit-connected generator-HVdc convertor scheme is proposed which removes the need to use two bridges in series to achieve twelve-pulse operation. Moreover, the combination of a single main bridge and an auxiliary feedback dc ripple reinjection bridge is shown to increase the pulse number from 6 to 18. This is achieved purely by natural commutation and is equally valid for rectification and inversion. The theoretical waveforms are validated by extensive experimental verification.

Villablanca, M.; Arrillaga, J. (Univ. of Canterbury, Christchurch (New Zealand))

1993-04-01T23:59:59.000Z

311

A Journal of Newar Studies - Number 3, NS 1120 / 1999-2000  

E-Print Network (OSTI)

of every king is mentioned and number of years ruling the kingdom including good deeds of his period. Therefore, in the v a ~ & a l i , mentioned above, only a section of a passive sentence written in Sanskrit is readable ' Shree Pasupatinaath ycita... in conference papers and publications, I have . argued that Thangmi occupies a half-way house between a canonical Kiranti-style verbal agreement system and that of the less inflecting Tibeto-Burman languages. Moreover, I have shown evidence...

Shakya, Daya R; Manandhar, Gaurishankar

2000-01-01T23:59:59.000Z

312

A procedure for oscillatory parameter identification  

SciTech Connect

A procedure is proposed where a power system is excited with a low-level pseduo-random probing signal and the frequency, damping, magnitude, and shape of oscillatory modes are identified using spectral density estimation and frequency-domain transfer-function identification. Attention is focussed on identifying system modes in the presence of noise. Two examples cases are studied: identification of electromechanical oscillation modes in a 16-machine power system; and turbine-generator shaft modes of a 3-machine power plant feeding a series-compensated 500-kV network.

Trudnowski, D.J.; Donnelly, M.K. [Pacific Northwest Lab., Richland, WA (United States); Hauer, J.F. [Bonneville Power Administration, Portland, OR (United States)

1994-02-01T23:59:59.000Z

313

A procedure of oscillatory parameter identification  

Science Conference Proceedings (OSTI)

A procedure is proposed where a power system is excited with a low-level pseudorandom probing signal and the frequency, damping, magnitude, and shape of oscillatory modes are identified using spectral density estimation and frequency-domain transfer-function identification. Attention is focused on identifying system modes in the presence of noise. Two example cases are studied: identification of electromechanical oscillation modes in a 16-machine power system; and turbine-generator shaft modes of a 3-machine power plant feeding a series-compensated 500-kV network.

Trudnowski, D.J.; Donnelly, M.K. (Pacific Northwest Lab., Richland, WA (United States)); Hauer, J.F. (Bonneville Power Administration, Portland, OR (United States))

1994-11-01T23:59:59.000Z

314

Introduction Prior research has shown that energy savings are  

E-Print Network (OSTI)

of a HVAC system. A robust system for collecting occupancy data is necessary to develop HVAC control detectors, CO2 sensors, etc) make efficient system control difficult. Occupancy prediction can be achieved by modeling long traces of occupancy data captured by an occupancy sensing system [2], helping modify HVAC

Carreira-Perpiñán, Miguel Á.

315

FLINT Fast Library for Number Theory  

E-Print Network (OSTI)

FLINT is a C library of functions for doing number theory. It is highly optimised and can be compiled on numerous platforms. FLINT also has the aim of providing support for multicore and multiprocessor computer architectures, though we do not yet provide this facility. FLINT is currently maintained by William Hart of Warwick University in the UK. Its main authors are William Hart, Sebastian Pancratz, Fredrik Johannson, Andy Novocin and David Harvey (no longer active). FLINT 2 and following should compile on any machine with GCC and a standard GNU toolchain, however it is specially optimized for x86 (32 and 64 bit) machines. As of version 2.0 FLINT required GCC version 2.96 or later, MPIR 2.1.1 or later and MPFR 3.0.0 or later. FLINT is supplied as a set of modules, fmpz, fmpz_poly, etc., each of which can be linked to a C program making use of their functionality. All of the functions in FLINT have a corresponding test function provided in an appropriately named test le. For example, the function fmpz_poly_add located in fmpz_poly/add.c has test code in the le fmpz_poly/test/t-add.c.

William Hart; *Fredrik Johansson; Sebastian Pancratz

2011-01-01T23:59:59.000Z

316

Number of Producing Gas Wells (Summary)  

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

Count) Count) Data Series: Wellhead Price Imports Price Price of Imports by Pipeline Price of LNG Imports Exports Price Price of Exports by Pipeline Price of LNG Exports Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production Natural Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals LNG Storage Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period:

317

RFIDSim : a discrete event simulator for Radio Frequency Identification systems  

E-Print Network (OSTI)

This thesis presents RFIDSim, a discrete event process-oriented simulator designed to model Radio Frequency Identification (RFID) communication. The simulator focuses on the discovery and identification process of passive ...

Yu, Kenneth Kwan-Wai, 1979-

2003-01-01T23:59:59.000Z

318

Identification of Heart Murmurs by Spectrographic Pattern Matching  

Science Conference Proceedings (OSTI)

Skilled voiceprint?identification panelists achieved better than 80% success in the identification of heart murmurs produced by malfunctioning aortic and pulmonic valves. Present diagnostic procedures often confuse murmurs produced by the aortic and pulmonic valves necessitating confirmation by catheterizing

L. G. Kersta; M. L. Schwartz

1966-01-01T23:59:59.000Z

319

Final Progress Report: Isotope Identification Algorithm for Rapid and Accurate Determination of Radioisotopes Feasibility Study  

SciTech Connect

This is the final report of the project titled, 'Isotope Identification Algorithm for Rapid and Accurate Determination of Radioisotopes,' PMIS project number LA10-HUMANID-PD03. The goal of the work was to demonstrate principles of emulating a human analysis approach towards the data collected using radiation isotope identification devices (RIIDs). It summarizes work performed over the FY10 time period. The goal of the work was to demonstrate principles of emulating a human analysis approach towards the data collected using radiation isotope identification devices (RIIDs). Human analysts begin analyzing a spectrum based on features in the spectrum - lines and shapes that are present in a given spectrum. The proposed work was to carry out a feasibility study that will pick out all gamma ray peaks and other features such as Compton edges, bremsstrahlung, presence/absence of shielding and presence of neutrons and escape peaks. Ultimately success of this feasibility study will allow us to collectively explain identified features and form a realistic scenario that produced a given spectrum in the future. We wanted to develop and demonstrate machine learning algorithms that will qualitatively enhance the automated identification capabilities of portable radiological sensors that are currently being used in the field.

Rawool-Sullivan, Mohini [Los Alamos National Laboratory; Bounds, John Alan [Los Alamos National Laboratory; Brumby, Steven P. [Los Alamos National Laboratory; Prasad, Lakshman [Los Alamos National Laboratory; Sullivan, John P. [Los Alamos National Laboratory

2012-04-30T23:59:59.000Z

320

Tennessee Natural Gas Number of Gas and Gas Condensate Wells...  

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

Gas and Gas Condensate Wells (Number of Elements) Tennessee Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

Note: This page contains sample records for the topic "identification number shown" from the National Library of EnergyBeta (NLEBeta).
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they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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321

Virginia Natural Gas Number of Gas and Gas Condensate Wells ...  

Gasoline and Diesel Fuel Update (EIA)

Gas and Gas Condensate Wells (Number of Elements) Virginia Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

322

Arkansas Natural Gas Number of Gas and Gas Condensate Wells ...  

Gasoline and Diesel Fuel Update (EIA)

Gas and Gas Condensate Wells (Number of Elements) Arkansas Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

323

Oklahoma Natural Gas Number of Gas and Gas Condensate Wells ...  

Gasoline and Diesel Fuel Update (EIA)

Gas and Gas Condensate Wells (Number of Elements) Oklahoma Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

324

Louisiana Natural Gas Number of Gas and Gas Condensate Wells...  

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

Gas and Gas Condensate Wells (Number of Elements) Louisiana Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

325

Maryland Natural Gas Number of Gas and Gas Condensate Wells ...  

Annual Energy Outlook 2012 (EIA)

Gas and Gas Condensate Wells (Number of Elements) Maryland Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

326

Kentucky Natural Gas Number of Gas and Gas Condensate Wells ...  

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

Gas and Gas Condensate Wells (Number of Elements) Kentucky Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

327

Pennsylvania Natural Gas Number of Gas and Gas Condensate Wells...  

Gasoline and Diesel Fuel Update (EIA)

Gas and Gas Condensate Wells (Number of Elements) Pennsylvania Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

328

Colorado Natural Gas Number of Gas and Gas Condensate Wells ...  

Gasoline and Diesel Fuel Update (EIA)

Gas and Gas Condensate Wells (Number of Elements) Colorado Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

329

Michigan Natural Gas Number of Gas and Gas Condensate Wells ...  

Annual Energy Outlook 2012 (EIA)

Gas and Gas Condensate Wells (Number of Elements) Michigan Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

330

New Mexico Natural Gas Number of Underground Storage Depleted...  

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

Depleted Fields Capacity (Number of Elements) New Mexico Natural Gas Number of Underground Storage Depleted Fields Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3...

331

New Mexico Natural Gas Number of Residential Consumers - Sales...  

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

Sales (Number of Elements) New Mexico Natural Gas Number of Residential Consumers - Sales (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

332

New Mexico Natural Gas Number of Commercial Consumers - Sales...  

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

- Sales (Number of Elements) New Mexico Natural Gas Number of Commercial Consumers - Sales (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

333

New Mexico Natural Gas Number of Residential Consumers - Transported...  

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

Transported (Number of Elements) New Mexico Natural Gas Number of Residential Consumers - Transported (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

334

New Mexico Natural Gas Number of Commercial Consumers - Transported...  

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

Transported (Number of Elements) New Mexico Natural Gas Number of Commercial Consumers - Transported (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

335

New Mexico Natural Gas Number of Underground Storage Acquifers...  

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

Acquifers Capacity (Number of Elements) New Mexico Natural Gas Number of Underground Storage Acquifers Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

336

New Mexico Natural Gas Number of Industrial Consumers - Sales...  

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

Sales (Number of Elements) New Mexico Natural Gas Number of Industrial Consumers - Sales (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

337

New Mexico Natural Gas Number of Industrial Consumers - Transported...  

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

Transported (Number of Elements) New Mexico Natural Gas Number of Industrial Consumers - Transported (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

338

Runtime Identification of Microprocessor Energy Saving Opportunities  

E-Print Network (OSTI)

scaling (DVS). Also, future work in improving energy efficiency is motivated by a detailed analysis analysis of processor energy efficiency for the SPEC CPU 2000 benchmark suite. We motivate the developmentRuntime Identification of Microprocessor Energy Saving Opportunities W. L. Bircher, M. Valluri, J

John, Lizy Kurian

339

Uses of particle identification for supercollider physics  

SciTech Connect

I summarize the basic characteristics of the Superconducting Super Collider and describe the experimental environment of its high- luminosity interaction regions. I then review some of the discovery possibilities opened by the SSC, with special attention to the advantages conferred by particle identification. 16 refs., 8 figs.

Quigg, C.

1989-05-01T23:59:59.000Z

340

NON-LINEAR DYNAMICS IDENTIFICATION USING  

E-Print Network (OSTI)

to be identified and extracted from the data. The above work is applied to a real physical wind turbine data 143 5 Case Study: Identification of Wind Turbine Dynamics Using Gaussian Processes 145 5 Turbine Dynamics 147 5.3.1 About the Data 148 5.3.2 Cleaning Up Raw Data (Phase 1) 152 5.3.3 Nonlinear

Duffy, Ken

Note: This page contains sample records for the topic "identification number shown" 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

Identification and predictive control for a circulation fluidized bed boiler  

Science Conference Proceedings (OSTI)

This paper introduces the design and presents the research findings of the identification and control application for an industrial Circulation Fluidized Bed (CFB) boiler. Linear Parameter Varying (LPV) model is used in the model identification where ... Keywords: CFB boilers, Identification, LPV model, Linear models interpolation, MPC

Guoli Ji, Jiangyin Huang, Kangkang Zhang, Yucai Zhu, Wei Lin, Tianxiao Ji, Sun Zhou, Bin Yao

2013-06-01T23:59:59.000Z

342

A Bayesian approach to sparse dynamic network identification  

Science Conference Proceedings (OSTI)

Modeling and identification of high dimensional systems, involving signals with many components, poses severe challenges to off-the-shelf techniques for system identification. This is particularly so when relatively small data sets, as compared to the ... Keywords: Elastic Net, Gaussian processes, Kernel-based methods, Lasso, Linear system identification, Sparsity inducing priors

Alessandro Chiuso; Gianluigi Pillonetto

2012-08-01T23:59:59.000Z

343

Missouri Natural Gas Number of Gas and Gas Condensate ...  

U.S. Energy Information Administration (EIA)

Missouri Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6

344

Number of Marketers Serving Residential Customers, December 2002  

U.S. Energy Information Administration (EIA)

Number of Marketers Serving Residential Customers, December 2002. State/District *Total Marketers ... Gives number of marketers but no names: Georgia: 10: 10:

345

Local Energy Assurance Planning: Map of States with Number of...  

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

States with Number of Cities Selected Local Energy Assurance Planning: Map of States with Number of Cities Selected Map of the United States identifying the States with cities...

346

Property:Number of Plants included in Capacity Estimate | Open...  

Open Energy Info (EERE)

of Plants included in Capacity Estimate Jump to: navigation, search Property Name Number of Plants included in Capacity Estimate Property Type Number Retrieved from "http:...

347

Property:NEPA FundingNumber | Open Energy Information  

Open Energy Info (EERE)

Jump to: navigation, search Property Name NEPA FundingNumber Property Type String This is a property of type String. Pages using the property "NEPA FundingNumber"...

348

Automatic Electric Load Identification in  

E-Print Network (OSTI)

Abstract A microgrid is the power system of choice for the electrification of rural areas in developing countries. It should be able to adapt to changing load situations without the need for specialists to change the configuration of the microgrid controller. This paper proposes a self-configuring microgrid management system that is able to adjust both generation and demand of the system, so that also in case of growing electricity demand the grid can still be operable by disconnecting unessential loads. A crucial task for the microgrid controller is to automatically identify the connected loads on the basis of their consumption behaviors. For this, a template-matching algorithm is proposed that is based on Dynamic Time Warping, which is primarily used in speech recognition. It has been found that for load profile analysis, simple signal features such as the number of rising edges or the aggregated energy consumption in a given time window is sufficient to describe the signal. In contrast to speech recognition, frequency domain analysis is not necessary.

Self-configuring Microgrids; Friederich Kupzog; Tehseen Zia; Adeel Abbas Zaidi

2009-01-01T23:59:59.000Z

349

Property:ASHRAE 169 Climate Zone Number | Open Energy Information  

Open Energy Info (EERE)

Number Number Jump to: navigation, search This is a property of type Page. Pages using the property "ASHRAE 169 Climate Zone Number" Showing 25 pages using this property. (previous 25) (next 25) A Abbeville County, South Carolina ASHRAE 169-2006 Climate Zone + Climate Zone Number 3 + Acadia Parish, Louisiana ASHRAE 169-2006 Climate Zone + Climate Zone Number 2 + Accomack County, Virginia ASHRAE 169-2006 Climate Zone + Climate Zone Number 4 + Ada County, Idaho ASHRAE 169-2006 Climate Zone + Climate Zone Number 5 + Adair County, Iowa ASHRAE 169-2006 Climate Zone + Climate Zone Number 5 + Adair County, Kentucky ASHRAE 169-2006 Climate Zone + Climate Zone Number 4 + Adair County, Missouri ASHRAE 169-2006 Climate Zone + Climate Zone Number 5 + Adair County, Oklahoma ASHRAE 169-2006 Climate Zone + Climate Zone Number 3 +

350

Examination ofmethods to determine free-ion diffusivity and number density from analysis of electrode polarization  

Science Conference Proceedings (OSTI)

Electrode polarization analysis is frequently used to determine free-ion diffusivity and number density in ionic conductors. In the present study, this approach is critically examined in a wide variety of electrolytes, including aqueous and nonaqueous solutions, polymer electrolytes, and ionic liquids. It is shown that the electrode polarization analysis based on theMacdonald-Trukhan model [J. Chem. Phys. 124, 144903 (2006); J. Non-Cryst. Solids 357, 3064 (2011)] progressively fails to give reasonable values of free-ion diffusivity and number density with increasing salt concentration. This should be expected because the original model of electrode polarization is designed for dilute electrolytes. An empirical correction method which yields ion diffusivities in reasonable agreement with pulsed-field gradient nuclear magnetic resonance measurements is proposed. However, the analysis of free-ion diffusivity and number density from electrode polarization should still be exercised with great caution because there is no solid theoretical justification for the proposed corrections.

Wang, Yangyang [ORNL; Sun, Che-Nan [Oak Ridge National Laboratory (ORNL); Fan, Fei [ORNL; Sangoro, Joshua R [ORNL; Berman, Marc [Hunter College of the City University of New York; Greenbaum, Steve [Hunter College of the City University of New York; Zawodzinski, Thomas [University of Tennessee, Knoxville (UTK); Sokolov, Alexei P [ORNL

2013-01-01T23:59:59.000Z

351

STEPS: A Grid Search Methodology for Optimized Peptide Identification Filtering of MS/MS Database Search Results  

Science Conference Proceedings (OSTI)

For bottom-up proteomics there are a wide variety of database searching algorithms in use for matching peptide sequences to tandem MS spectra. Likewise, there are numerous strategies being employed to produce a confident list of peptide identifications from the different search algorithm outputs. Here we introduce a grid search approach for determining optimal database filtering criteria in shotgun proteomics data analyses that is easily adaptable to any search. Systematic Trial and Error Parameter Selection - referred to as STEPS - utilizes user-defined parameter ranges to test a wide array of parameter combinations to arrive at an optimal "parameter set" for data filtering, thus maximizing confident identifications. The benefits of this approach in terms of numbers of true positive identifications are demonstrated using datasets derived from immunoaffinity-depleted blood serum and a bacterial cell lysate, two common proteomics sample types.

Piehowski, Paul D.; Petyuk, Vladislav A.; Sandoval, John D.; Burnum, Kristin E.; Kiebel, Gary R.; Monroe, Matthew E.; Anderson, Gordon A.; Camp, David G.; Smith, Richard D.

2013-03-01T23:59:59.000Z

352

10 CFR Part 1017 - Identification and Protection of Unclassified Controlled  

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

0 CFR Part 1017 - Identification and Protection of Unclassified 0 CFR Part 1017 - Identification and Protection of Unclassified Controlled Nuclear Information 10 CFR Part 1017 - Identification and Protection of Unclassified Controlled Nuclear Information 10 CFR Part 1017, Identification and Protection of Unclassified Controlled Nuclear Information - Establishes the Government-wide policies and procedures for implementing the requirements of section 148 of the Atomic Energy Act of 1954 concerning identifying and protecting certain unclassified but sensitive Government information that concerns atomic energy defense programs. 10 CFR Part 1017, Identification and Protection of Unclassified Controlled Nuclear Information More Documents & Publications Summary, UCNI Document Markings - November 2011 Briefing, For Persons With Access to UCNI - April 2012

353

An improved ranking method for fuzzy numbers with integral values  

Science Conference Proceedings (OSTI)

Ranking fuzzy numbers is a very important decision-making procedure in decision analysis and applications. The last few decades have seen a large number of approaches investigated for ranking fuzzy numbers, yet some of these approaches are non-intuitive ... Keywords: Index of optimism, Integral value, Ranking fuzzy numbers

Vincent F. Yu, Luu Quoc Dat

2014-01-01T23:59:59.000Z

354

72 Los Alamos Science Number 24 1996 Russian Federation  

E-Print Network (OSTI)

inspection by signing the Nu- clear Nonproliferation Treaty (NPT). However, a number of states, as well

355

Increasing Confidence of LC-MS Identifications by Utilizing Ion Mobility Spectrometry  

SciTech Connect

Ion mobility spectrometry in conjunction with liquid chromatography separations and mass spectrometry offers a range of new possibilities for analyzing complex biological samples. To fully utilize the information obtained from these three measurement dimensions, informatics tools based on the accurate mass and time tag methodology were modified to incorporate ion mobility spectrometry drift times for peptides observed in human serum. A reference human serum database was created using 12,139 peptides, tracking the monoisotopic mass, liquid chromatography normalized elution time, and ion mobility spectrometry drift time(s) for each peptide. We demonstrate that the use of three dimensions for peak matching during the peptide identification process resulted in increased numbers of identifications and lower false discovery rates relative to the use of only the mass and normalized elution time dimensions.

Crowell, Kevin L.; Baker, Erin Shammel; Payne, Samuel H.; Ibrahim, Yehia M.; Monroe, Matthew E.; Slysz, Gordon W.; Lamarche, Brian L.; Petyuk, Vladislav A.; Piehowski, Paul D.; Danielson, William F.; Anderson, Gordon A.; Smith, Richard D.

2013-09-05T23:59:59.000Z

356

PINS Testing and Modification for Explosive Identification  

SciTech Connect

The INL's Portable Isotopic Neutron Spectroscopy System (PINS)1 non-intrusively identifies the chemical fill of munitions and sealed containers. PINS is used routinely by the U.S. Army, the Defense Threat Reduction Agency, and foreign military units to determine the contents of munitions and other containers suspected to contain explosives, smoke-generating chemicals, and chemical warfare agents such as mustard and nerve gas. The objects assayed with PINS range from softball-sized M139 chemical bomblets to 200 gallon DOT 500X ton containers. INL had previously examined2 the feasibility of using a similar system for the identification of explosives, and based on this proof-of-principle test, the development of a dedicated system for the identification of explosives in an improvised nuclear device appears entirely feasible. INL has been tasked by NNSA NA-42 Render Safe Research and Development with the development of such a system.

E.H. Seabury; A.J. Caffrey

2011-09-01T23:59:59.000Z

357

Cascade Training Technique for Particle Identification  

E-Print Network (OSTI)

The cascade training technique which was developed during our work on the MiniBooNE particle identification has been found to be a very efficient way to improve the selection performance, especially when very low background contamination levels are desired. The detailed description of this technique is presented here based on the MiniBooNE detector Monte Carlo simulations, using both artifical neural networks and boosted decision trees as examples.

Yong Liu; Ion Stancu

2006-11-27T23:59:59.000Z

358

Identification of Strategies to Leverage Public and Private Resources for National Security Workforce Development  

Science Conference Proceedings (OSTI)

This report documents the identification of strategies to leverage public and private resources for the development of an adequate national security workforce as part of the National Security Preparedness Project (NSPP).There are numerous efforts across the United States to develop a properly skilled and trained national security workforce. Some of these efforts are the result of the leveraging of public and private dollars. As budget dollars decrease and the demand for a properly skilled and trained national security workforce increases, it will become even more important to leverage every education and training dollar. The leveraging of dollars serves many purposes. These include increasing the amount of training that can be delivered and therefore increasing the number of people reached, increasing the number and quality of public/private partnerships, and increasing the number of businesses that are involved in the training of their future workforce.

None

2009-02-01T23:59:59.000Z

359

Property:NumberOfEZFeedDsirePolicies | Open Energy Information  

Open Energy Info (EERE)

NumberOfEZFeedDsirePolicies NumberOfEZFeedDsirePolicies Jump to: navigation, search Property Name NumberOfEZFeedDsirePolicies Property Type Number Description Number for query that includes EZ policies and DSIRE entries. Populated from Template:StatisticsForPlace Pages using the property "NumberOfEZFeedDsirePolicies" Showing 25 pages using this property. (previous 25) (next 25) A Aaronsburg, Pennsylvania + 0 + Abbeville County, South Carolina + 0 + Abbeville, Alabama + 0 + Abbeville, Georgia + 0 + Abbeville, Louisiana + 0 + Abbeville, Mississippi + 0 + Abbeville, South Carolina + 0 + Abbot, Maine + 0 + Abbotsford, Australia + 0 + Abbotsford, Wisconsin + 0 + Abbott, Texas + 0 + Abbottstown, Pennsylvania + 0 + Abbyville, Kansas + 0 + Abercrombie, North Dakota + 0 +

360

Scale Free Analysis and the Prime Number Theorem  

E-Print Network (OSTI)

We present an elementary proof of the prime number theorem. The relative error follows a golden ratio scaling law and respects the bound obtained from the Riemann's hypothesis. The proof is derived in the framework of a scale free nonarchimedean extension of the real number system exploiting the concept of relative infinitesimals introduced recently in connection with ultrametric models of Cantor sets. The extended real number system is realized as a completion of the field of rational numbers $Q$ under a {\\em new} nonarchimedean absolute value, which treats arbitrarily small and large numbers separately from a finite real number.

Dhurjati Prasad Datta; Anuja Roy Choudhuri

2010-01-10T23:59:59.000Z

Note: This page contains sample records for the topic "identification number shown" 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.
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361

Intelligent system for automatic feature detection and selection or identification  

DOE Patents (OSTI)

A neural network uses a fuzzy membership function, the parameters of which are adaptive during the training process, to parameterize the interconnection weights between an (n{minus}1)`th layer and an n`th layer of the network. Each j`th node in each k`th layer of the network except the input layer produces its output value y{sub k,j} according to the function shown in Equation 1 where N{sub k{minus}1} is the number of nodes in layer k{minus}1, i indexes the nodes of layer k{minus}1 and all the w{sub k,i,j} are interconnection weights. The interconnection weights to all nodes j in the n`th layer are given by w{sub n,i,j}=w{sub n,j} (i, p{sub n,j,1}, . . . , p{sub n,j},p{sub n}). The apparatus is trained by setting values for at least one of the parameters p{sub n,j,1}, . . . , p{sub n,j},Pn. Preferably the number of parameters P{sub n} is less than the number of nodes N{sub n{minus}1} in layer n{minus}1. W{sub n,j} (i,p{sub n,j,1}, . . . , p{sub n,j},Pn) can be convex in i, and it can be bell-shaped. Sample functions for w{sub n,j} (i, p{sub n,j,1}, . . . , p{sub n,j},Pn) include Equation 2, shown in the patent. 8 figs.

Sun, C.T.; Shiang, P.S.; Jang, J.S.; Fu, C.Y.

1997-09-02T23:59:59.000Z

362

Export support of renewable energy industries. Task number 1, deliverable number 3. Final report  

DOE Green Energy (OSTI)

The United States Export Council for Renewable Energy (US/ECRE), a consortium of six industry associations, promotes the interests of the renewable energy and energy efficiency member companies which provide goods and services in biomass, geothermal, hydropower, passive solar, photovoltaics, solar thermal, wind, wood energy, and energy efficiency technologies. US/ECRE`s mission is to catalyze export markets for renewable energy and energy efficiency technologies worldwide. Under this grant, US/ECRE has conducted a number of in-house activities, as well as to manage activities by member trade associations, affiliate organizations and non-member contractors and consultants. The purpose of this document is to report on task coordination and effectiveness.

NONE

1998-01-14T23:59:59.000Z

363

Export support of renewable energy industries, grant number 1, deliverable number 3. Final report  

DOE Green Energy (OSTI)

The United States Export Council for Renewable Energy (US/ECRE), a consortium of six industry associations, promotes the interests of the renewable energy and energy efficiency member companies which provide goods and services in biomass, geothermal, hydropower, passive solar, photovoltaics, solar thermal, wind, wood energy, and energy efficiency technologies. US/ECRE`s mission is to catalyze export markets for renewable energy and energy efficiency technologies worldwide. Under this grant, US/ECRE has conducted a number of in-house activities, as well as to manage activities by member trade associations, affiliate organizations and non-member contractors and consultants. The purpose of this document is to report on grant coordination and effectiveness.

NONE

1998-01-14T23:59:59.000Z

364

Nebraska Natural Gas Number of Gas and Gas Condensate Wells ...  

U.S. Energy Information Administration (EIA)

Nebraska Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9; 1980's: 15:

365

ORISE: Report shows number of health physics degrees for 2010  

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

ORISE report shows number of health physics degrees increased for graduates, decreased for undergraduates in 2010 Decreased number of B.S. degrees remains higher than levels in the...

366

Montana Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Montana Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

367

Utah Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Utah Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

368

Virginia Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Virginia Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

369

Kansas Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Kansas Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

370

Alabama Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Alabama Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

371

Michigan Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Michigan Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

372

Maryland Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Maryland Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

373

Arkansas Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Arkansas Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

374

Iowa Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Iowa Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

375

Colorado Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Colorado Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

376

Illinois Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Illinois Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

377

Nebraska Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Nebraska Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

378

Texas Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Texas Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

379

Ohio Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Ohio Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

380

Missouri Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Missouri Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

Note: This page contains sample records for the topic "identification number shown" 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

Oklahoma Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Oklahoma Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

382

Indiana Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Indiana Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

383

Wyoming Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Wyoming Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

384

Oregon Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Oregon Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

385

Kentucky Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Kentucky Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

386

Property:NumberOfMeasuringStations | Open Energy Information  

Open Energy Info (EERE)

Property Edit with form History Facebook icon Twitter icon Property:NumberOfMeasuringStations Jump to: navigation, search This is a property of type Number. Pages using the...

387

Mississippi Natural Gas Number of Gas and Gas Condensate Wells ...  

U.S. Energy Information Administration (EIA)

Mississippi Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9; 1980's:

388

Expert system for identification of simultaneous and sequential reactor fuel failures with gas tagging  

DOE Patents (OSTI)

Failure of a fuel element in a nuclear reactor core is determined by a gas tagging failure detection system and method. Failures are catalogued and characterized after the event so that samples of the reactor's cover gas are taken at regular intervals and analyzed by mass spectroscopy. Employing a first set of systematic heuristic rules which are applied in a transformed node space allows the number of node combinations which must be processed within a barycentric algorithm to be substantially reduced. A second set of heuristic rules treats the tag nodes of the most recent one or two leakers as background'' gases, further reducing the number of trial node combinations. Lastly, a fuzzy'' set theory formalism minimizes experimental uncertainties in the identification of the most likely volumes of tag gases. This approach allows for the identification of virtually any number of sequential leaks and up to five simultaneous gas leaks from fuel elements. 14 figs.

Gross, K.C.

1994-07-26T23:59:59.000Z

389

HYPERPERFECT NUMBERS WITH FIVE AND SIX DIFFERENT PRIME FACTORS  

E-Print Network (OSTI)

A natural number N is hyperperfect if there exists an integer k such that N ?1 = k[?(N)? N ? 1], where ?(N) is the sum of the positive divisors of N. The classical perfect numbers are hyperperfect numbers corresponding to k = 1. In this paper we exhibit several hyperperfect numbers with five different prime factors and the first known hyperperfect number with six different prime factors. A natural number N is said to be hyperperfect if there exists an integer k such that N ? 1 = k[?(N) ? N ? 1], where ?(N) is the sum of the positive divisors of N. The ordinary perfect numbers, for which ?(N) = 2 N, correspond to the case where k = 1. Hyperperfect numbers have been studied by Minoli [2], [3], [4], Bear [2], te Riele [6], [7], [8], McCranie, [1], and Nash [5]. Several examples have been found of hyperperfect numbers with two, three and four different prime factors and one such number with five different prime factors was discovered be te Riele [8]. In this paper we include some new hyperperfect numbers with five different prime factors and the first known example with six different prime factors as well. These numbers were

Mariano Garcia

2002-01-01T23:59:59.000Z

390

A preconditioned method for rotating flows at arbitrary mach number  

Science Conference Proceedings (OSTI)

An improved preconditioning is proposed for viscous flow computations in rotating and nonrotating frames at arbitrary Mach numbers. The key to the current method is the use of both free stream Mach number and rotating Mach number to construct a preconditioning ...

Chunhua Sheng

2011-01-01T23:59:59.000Z

391

Stable Isotope, Site-Specific Mass Tagging For Protein Identification  

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

Stable Isotope, Site-Specific Mass Tagging For Protein Stable Isotope, Site-Specific Mass Tagging For Protein Identification Stable Isotope, Site-Specific Mass Tagging For Protein Identification Proteolytic peptide mass mapping as measured by mass spectrometry provides an important method for the identification of proteins, which are usually identified by matching the measured and calculated m/z values of the proteolytic peptides. Available for thumbnail of Feynman Center (505) 665-9090 Email Stable Isotope, Site-Specific Mass Tagging For Protein Identification Proteolytic peptide mass mapping as measured by mass spectrometry provides an important method for the identification of proteins, which are usually identified by matching the measured and calculated m/z values of the proteolytic peptides. A unique identification is, however, heavily

392

Peak power identification on power bumps during test application  

Science Conference Proceedings (OSTI)

Peak power during test can seriously impact circuit performance as well as the power safety for both CUT and tester. In this paper, we propose a method of layout-aware weighted switching activity identification flow that evaluates peak current/power ... Keywords: CMOS device, peak power identification, power bumps, test application, layout-aware weighted switching activity identification flow, dynamic power model, parasitic capacitance, resistance network, power bus, power delivery path, IR-drop, commercial power sign-off analysis tool

Wei Zhao; M. Tehranipoor

2011-07-01T23:59:59.000Z

393

Identification of External Hazards for Analysis in Probabilistic Risk Assessment  

Science Conference Proceedings (OSTI)

This document reports on the assessment of current practices related to the identification of external events (hazards) that can potentially affect the safety of nuclear power plants and provides recommendations on the screening criteria used to perform this identification process. The identification process is intended for use by individual plants, and the identified external events are appropriate candidates for evaluation using probabilistic risk assessment (PRA). One of the outcomes of an external ev...

2011-12-07T23:59:59.000Z

394

Electron and Photon Reconstruction and Identification with the ATLAS Detector  

E-Print Network (OSTI)

The status of the reconstruction and identification of electrons and photons in the ATLAS detector is presented. Electrons and photons are crucial for both a thorough understanding of the detector and physics studies. An electrons identification efficiency of 64% can be reached for a jet rejection of 10^5. The electromagnetic energy scale can be estimated with a permil accuracy. The reconstruction process is described along with the identification and calibration techniques developed to obtain the required performance.

Turlay, E

2008-01-01T23:59:59.000Z

395

A Fluorescent Aerogel for Capture and Identification of Interplanetary and Interstellar Dust  

E-Print Network (OSTI)

Contemporary interstellar dust has never been analyzed in the laboratory, despite its obvious astronomical importance and its potential as a probe of stellar nucleosynthesis and galactic chemical evolution. Here we report the discovery of a novel fluorescent aerogel which is capable of capturing hypervelocity dust grains and passively recording their kinetic energies. An array of these calorimetric aerogel collectors in low earth orbit would lead to the capture and identification of large numbers of interstellar dust grains. Subject headings: astrochemistry instrumentation: detectors interplanetary medium dust, extinction meteors, meteoroids techniques: image processing 1.

Gerardo Domnguez; Andrew J. Westphal; Mark L. F. Phillips; Steven M. Jones

2003-01-01T23:59:59.000Z

396

ISOTOPE FRACTIONATION Isotopes are atoms whose nuclei contain the same number of protons but a different number of neutrons. The  

E-Print Network (OSTI)

for the utilization of stable isotopes in geology, geochemistry, biogeochemistry, paleoceanography and elsewhere____________________________ ISOTOPE FRACTIONATION ____________________________ Isotopes are atoms whose nuclei contain the same number of protons but a different number of neutrons. The term `isotope

Zeebe, Richard E.

397

Property:NumberOfUtilityCompanies | Open Energy Information  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:NumberOfUtilityCompanies Jump to: navigation, search Property Name NumberOfUtilityCompanies Property Type Number Description Number of Utility Companies. Pages using the property "NumberOfUtilityCompanies" Showing 25 pages using this property. (previous 25) (next 25) A Aaronsburg, Pennsylvania + 0 + Abbeville County, South Carolina + 0 + Abbeville, Alabama + 0 + Abbeville, Georgia + 0 + Abbeville, Louisiana + 0 + Abbeville, Mississippi + 0 + Abbeville, South Carolina + 0 + Abbot, Maine + 0 + Abbotsford, Australia + 0 + Abbotsford, Wisconsin + 0 + Abbott, Texas + 0 + Abbottstown, Pennsylvania + 0 + Abbyville, Kansas + 0 + Abercrombie, North Dakota + 0 + Aberdeen Gardens, Washington + 0 +

398

Property:NumberOfEZFeedPolicies | Open Energy Information  

Open Energy Info (EERE)

NumberOfEZFeedPolicies NumberOfEZFeedPolicies Jump to: navigation, search Property Name NumberOfEZFeedPolicies Property Type Number Pages using the property "NumberOfEZFeedPolicies" Showing 25 pages using this property. (previous 25) (next 25) A Aaronsburg, Pennsylvania + 0 + Abbeville County, South Carolina + 0 + Abbeville, Alabama + 0 + Abbeville, Georgia + 0 + Abbeville, Louisiana + 0 + Abbeville, Mississippi + 0 + Abbeville, South Carolina + 0 + Abbot, Maine + 0 + Abbotsford, Australia + 0 + Abbotsford, Wisconsin + 0 + Abbott, Texas + 0 + Abbottstown, Pennsylvania + 0 + Abbyville, Kansas + 0 + Abercrombie, North Dakota + 0 + Aberdeen Gardens, Washington + 0 + Aberdeen Proving Ground, Maryland + 0 + Aberdeen, Idaho + 0 + Aberdeen, Maryland + 0 + Aberdeen, Mississippi + 0 +

399

Property:NumberOfIncentives | Open Energy Information  

Open Energy Info (EERE)

NumberOfIncentives NumberOfIncentives Jump to: navigation, search Property Name NumberOfIncentives Property Type Number Pages using the property "NumberOfIncentives" Showing 25 pages using this property. (previous 25) (next 25) A Aaronsburg, Pennsylvania + 0 + Abbeville County, South Carolina + 0 + Abbeville, Alabama + 0 + Abbeville, Georgia + 0 + Abbeville, Louisiana + 0 + Abbeville, Mississippi + 0 + Abbeville, South Carolina + 0 + Abbot, Maine + 0 + Abbotsford, Australia + 0 + Abbotsford, Wisconsin + 0 + Abbott, Texas + 0 + Abbottstown, Pennsylvania + 0 + Abbyville, Kansas + 0 + Abercrombie, North Dakota + 0 + Aberdeen Gardens, Washington + 0 + Aberdeen Proving Ground, Maryland + 0 + Aberdeen, Idaho + 0 + Aberdeen, Maryland + 0 + Aberdeen, Mississippi + 0 +

400

Phase I - Resource Procurement and Identification | Open Energy Information  

Open Energy Info (EERE)

- Resource Procurement and Identification - Resource Procurement and Identification Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home GEA Development Phase I: Resource Procurement and Identification GEA Development Phases The Geothermal Energy Association's (GEA) Geothermal Reporting Terms and Definitions are a guideline for geothermal developers to use when submitting geothermal resource development information to GEA for public dissemination in its annual US Geothermal Power Production and Development Update. GEA's Geothermal Reporting Terms and Definitions serve to increase the consistency, accuracy, and reliability of industry information presented in the development updates. Phase I - Resource Procurement and Identification Phase II - Resource Exploration and Confirmation Phase III - Permitting and Initial Development

Note: This page contains sample records for the topic "identification number shown" 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

Millimeter-Wave Remote Biometric Identification and Tracking...  

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

- Multimedia Bookmark and Share Millimeter-Wave Remote Biometric Identification and Tracking (RBIT) System for Security Applications Argonne National Laboratory and Northwestern...

402

Secure Identification of Textiles and Other Consumer Products  

cardboard, metal, concrete, plastics, leather, wood, and paper (e.g., currency and identification cards). And the complexity of the information that can be encoded

403

Geothermal: Sponsored by OSTI -- Identification of energy and...  

Office of Scientific and Technical Information (OSTI)

Identification of energy and environmental issues in the South: views of officials from selected state agencies Geothermal Technologies Legacy Collection HelpFAQ | Site Map |...

404

Chapter 31 Identification and Listing of Hazardous Waste (Kentucky)  

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

This administrative regulation establishes the general provisions necessary for identification and listing of a hazardous waste. The regulation also establishes the criteria for identifying the...

405

Identification of Low Emissions Agricultural Pathways and Priorities...  

Open Energy Info (EERE)

Identification of Low Emissions Agricultural Pathways and Priorities for Mitigation in Agricultural Landscapes using Integrated Assessment Modeling and Scenarios Jump to:...

406

NMERI 97/29/33010 IDENTIFICATION AND PROOF TESTING ...  

Science Conference Proceedings (OSTI)

... Identification and Proof Testing of New Total Flooding Agents: Toxicity and ... to hydrolysis and cleavage can cause condensation to higher polymers. ...

2012-07-26T23:59:59.000Z

407

Power system identification toolbox: Phase two progress  

Science Conference Proceedings (OSTI)

This report describes current progress on a project funded by the Bonneville Power Administration (BPA) to develop a set of state-of-the-art analysis software (termed the Power System Identification [PSI] Toolbox) for fitting dynamic models to measured data. The project is being conducted as a three-phase effort. The first phase, completed in late 1992, involved investigating the characteristics of the analysis techniques by evaluating existing software and developing guidelines for best use. Phase Two includes extending current software, developing new analysis algorithms and software, and demonstrating and developing applications. The final phase will focus on reorganizing the software into a modular collection of documented computer programs and developing user manuals with instruction and application guidelines. Phase Two is approximately 50% complete; progress to date and a vision for the final product of the PSI Toolbox are described. The needs of the power industry for specialized system identification methods are particularly acute. The industry is currently pushing to operate transmission systems much closer to theoretical limits by using real-time, large-scale control systems to dictate power flows and maintain dynamic stability. Reliably maintaining stability requires extensive system-dynamic modeling and analysis capability, including measurement-based methods. To serve this need, the BPA has developed specialized system-identification computer codes through in-house efforts and university contract research over the last several years. To make full integrated use of the codes, as well as other techniques, the BPA has commissioned Pacific Northwest Laboratory (PNL) to further develop the codes and techniques into the PSI Toolbox.

Trudnowski, D.J.

1994-08-01T23:59:59.000Z

408

Property:NumberOfEmployees | Open Energy Information  

Open Energy Info (EERE)

NumberOfEmployees NumberOfEmployees Jump to: navigation, search Property Name NumberOfEmployees Property Type Number Description The number of employees in a company or organization. This is a property of type Number. Subproperties This property has the following 10 subproperties: A American Electric Power Co., Inc. B BMW D Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH G General Electric S Saudi Aramco T Texas Department of Transportation The Hartford V Veolia Energy W World Bank X Xcel Energy Pages using the property "NumberOfEmployees" Showing 25 pages using this property. (previous 25) (next 25) 2 21-Century Silicon, Inc. + 11 + 3 3Degrees + 51 + 3TIER + 51 + 5 5 boro biofuel + 11 + A A.O. Smith + 10,000 + A1 Sun, Inc. + 1 + A10 Power + 1 + AAON + 1,001 +

409

Obtaining material identification with cosmic ray radiography  

SciTech Connect

The passage of muons through matter is dominated by the Coulomb interaction with electrons and nuclei in the matter. The muon interaction with the electrons leads to continuous energy loss and stopping of the muons. The muon interaction with nuclei leads to angular diffusion. Using both stopped muons and angle diffusion interactions allows us to determine density and identify materials. Here we demonstrate material identification using data taken at Los Alamos with a particle tracker built from a set of sealed drift tubes with commercial electronics and software, the Mini Muon Tracker (MMT).

Morris, C. L.; Borozdin, Konstantin; Bacon, Jeffrey; Chen, Elliott; Lukic, Zarija; Milner, Edward; Miyadera, Haruo; Perry, John [Los Alamos National Laboratory, Los Alamos, NM 87545 (United States); Schwellenbach, Dave; Aberle, Derek; Dreesen, Wendi; Green, J. Andrew; McDuff, George G. [National Security Technologies, Los Alamos, NM 87544 (United States); Nagamine, Kanetada [KEK, Tsukuba, Ibaraki, 305-0801 (Japan); RIKEN, Wako, Saitama, 351-0198 (Japan) and UC-Riverside, CA 92521 (United States); Sossong, Michael [Decision Sciences, 12345 First American Way, Suite 130, Poway, CA 92064 (United States); Spore, Candace; Toleman, Nathan [Department of Chemical and Nuclear Engineering, University of New Mexico, Albuquerque, NM 87131-0001 (United States)

2012-12-15T23:59:59.000Z

410

Waveguide photon-number-resolving detectors for quantum photonic integrated circuits  

E-Print Network (OSTI)

Quantum photonic integration circuits are a promising approach to scalable quantum processing with photons. Waveguide single-photon-detectors (WSPDs) based on superconducting nanowires have been recently shown to be compatible with single-photon sources for a monolithic integration. While standard WSPDs offer single-photon sensitivity, more complex superconducting nanowire structures can be configured to have photon-number-resolving capability. In this work, we present waveguide photon-number-resolving detectors (WPNRDs) on GaAs/Al0.75Ga0.25As ridge waveguides based on a series connection of nanowires. The detection of 0-4 photons has been demonstrated with a four-wire WPNRD, having a single electrical read-out. A device quantum efficiency ~24 % is reported at 1310 nm for the TE polarization.

Sahin, D; Zhou, Z; Jahanmirinejad, S; Mattioli, F; Leoni, R; Beetz, J; Lermer, M; Kamp, M; Hfling, S; Fiore, A

2013-01-01T23:59:59.000Z

411

Mixed Variable Optimization of the Number and Composition of Heat Intercepts in a Thermal Insulation System  

E-Print Network (OSTI)

: In the literature, thermal insulation systems with a xed number of heat intercepts have been optimized with respect to intercept locations and temperatures. The number of intercepts and the types of insulators that surround them were chosen by parametric studies. This was because the optimization methods used could not treat such categorical variables. Discrete optimization variables are categorical if the objective function or the constraints can not be evaluated unless the variables take one of a prescribed enumerable set of values. The key issue is that categorical variables can not be treated as ordinary discrete variables are treated by relaxing them to continuous variables with a side constraint that they be discrete at the solution. A new mixed variable programming (MVP) algorithm makes it possible to optimize directly with respect to mixtures of discrete, continuous, and categorical decision variables. The result of applying MVP is shown here to give a 65% reduction in the ...

Michael Kokkolaras; Charless Audet; J. E. Dennis, Jr.

2000-01-01T23:59:59.000Z

412

RCRA Permit for a Hazardous Waste Management Facility Permit Number NEV HW0101 Annual Summary/Waste Minimization Report Calendar Year 2012, Nevada National Security Site, Nevada  

SciTech Connect

This report summarizes the U.S. Environmental Protection Agency (EPA) identification number of each generator from which the Permittee received a waste stream, a description and quantity of each waste stream in tons and cubic feet received at the facility, the method of treatment, storage, and/or disposal for each waste stream, a description of the waste minimization efforts undertaken, a description of the changes in volume and toxicity of waste actually received, any unusual occurrences, and the results of tank integrity assessments. This Annual Summary/Waste Minimization Report is prepared in accordance with Section 2.13.3 of Permit Number NEV HW0101, issued 10/17/10.

,

2013-02-21T23:59:59.000Z

413

RCRA Permit for a Hazardous Waste Management Facility Permit Number NEV HW0101 Annual Summary/Waste Minimization Report Calendar Year 2011  

SciTech Connect

This report summarizes the U.S. Environmental Protection Agency (EPA) identification number of each generator from which the Permittee received a waste stream; a description and quantity of each waste stream in tons and cubic feet received at the facility; the method of treatment, storage, and/or disposal for each waste stream; a description of the waste minimization efforts undertaken; a description of the changes in volume and toxicity of waste actually received; any unusual occurrences; and the results of tank integrity assessments. This Annual Summary/Waste Minimization Report is prepared in accordance with Section 2.13.3 of Permit Number NEV HW0101.

NSTec Environmental Restoration

2012-02-16T23:59:59.000Z

414

LES of Floating Wind Farms (Video Number V058)  

E-Print Network (OSTI)

The fluid dynamics video No.V058 is introduced, with brief descriptions of the numerical method used to generate the animation data, explanation of what is shown in the movies, and the main scientific findings obtained from this study.

Yang, Di; Walters, Richard; Valenciano, Miguel; Stephens, Michael; Hand, Randall; Shen, Lian

2011-01-01T23:59:59.000Z

415

Source options for nuclear weapons identification system  

Science Conference Proceedings (OSTI)

This report briefly presents the advantages and disadvantages of two timed sources of neutrons that can be used with the source-driven noise analysis method: (1) {sup 252}Cf in an ionization chamber and (2) an associated-particle sealed tube neutron generator (APSTNG). These sources can be used with frequency and time analysis methods for nuclear weapons identification, quality assurance in production, special nuclear materials assay, criticality safety, and provision of measured data for verification of neutron and gamma ray transport calculational methods. The advantages of {sup 252}Cf for a nuclear materials identification system are that it is simple, reliable, and small and that all source events are detected. The disadvantages are that it cannot be turned off, leads to small radiation doses in handling, and produces more than one neutron per fission event. The advantages of APSTNG are that it is directional, can be turned off, and has one particle per deuterium-tritium reaction. The disadvantages are that it is large and complicated compared to {sup 252}Cf.

Mihalczo, J.T.; Koehler, P.E.; Valentine, T.E.; Phillips, L.D.

1995-07-01T23:59:59.000Z

416

Person de-identification in videos  

Science Conference Proceedings (OSTI)

Advances in cameras and web technology have made it easy to capture and share large amounts of video data over to a large number of people through services like Google Street View, EveryScape, etc A large number of cameras oversee public and semi-public ...

Prachi Agrawal; P. J. Narayanan

2009-09-01T23:59:59.000Z

417

Property:GRR/SectionNumber | Open Energy Information  

Open Energy Info (EERE)

SectionNumber SectionNumber Jump to: navigation, search Property Name GRR/SectionNumber Property Type Number Description The section number of a section in the Geothermal Regulatory Roadmap. The value of this property is derived automatically by the section template and is used in sorting sections on the GRR Home page. Subproperties This property has the following 2 subproperties: G GRR/Section 6-HI-d - Oversize and/or Overweight Vehicles and Loads Permit GRR/Section 7 - Power Plant Siting/Construction Overview Pages using the property "GRR/SectionNumber" Showing 25 pages using this property. (previous 25) (next 25) G GRR/Section 1 - Land Use Overview + 1 + GRR/Section 1-AK-a - Land Use Considerations + 1 + GRR/Section 1-CA-a - State Land Use Planning + 1 +

418

T-705: Linux Kernel Weakness in Sequence Number Generation Facilitates  

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

05: Linux Kernel Weakness in Sequence Number Generation 05: Linux Kernel Weakness in Sequence Number Generation Facilitates Packet Injection Attacks T-705: Linux Kernel Weakness in Sequence Number Generation Facilitates Packet Injection Attacks August 30, 2011 - 3:46am Addthis PROBLEM: A remote user can conduct packet injection attacks. PLATFORM: Linux Kernel ABSTRACT: Linux Kernel Weakness in Sequence Number Generation Facilitates Packet Injection Attacks. reference LINKS: SecurityTracker Alert ID: 1025977 CVE-2011-3188 (under review) The Linux Kernel Archives IMPACT ASSESSMENT: Medium Discussion: A vulnerability was reported in the Linux Kernel. A remote user can conduct packet injection attacks. The kernel's sequence number generation function uses partial MD4 with 24-bits unguessable. A remote user may be able to brute-force guess a valid sequence number to inject a packet into a

419

Property:GRR/SubsectionElementNumber | Open Energy Information  

Open Energy Info (EERE)

SubsectionElementNumber SubsectionElementNumber Jump to: navigation, search Property Name GRR/SubsectionElementNumber Property Type Number Description The subsection element number of an element in the Geothermal Regulatory Roadmap. The value of this property is derived automatically by the element template and is used in sorting elements within a section. Pages using the property "GRR/SubsectionElementNumber" Showing 25 pages using this property. (previous 25) (next 25) G GRR/Elements/14-CA-b.1 - NPDES Permit Application + 1 + GRR/Elements/14-CA-b.10 - Did majority of RWQCB approve the permit + 10 + GRR/Elements/14-CA-b.11 - EPA Review of Adopted Permit + 11 + GRR/Elements/14-CA-b.12 - Were all EPA objections resolved + 12 + GRR/Elements/14-CA-b.13 - NPDES Permit issued + 13 +

420

Generating Multivariate Nonnormal Distribution Random Numbers Based on Copula Function  

E-Print Network (OSTI)

Abstract. Random numbers of multivariate nonnormal distribution are strongly requested by the area of theoretic research and application in practice. A new algorithm of generating multivariate nonnormal distribution random numbers is given based on the Copula function, and theoretic analysis suggests that the algorithm is suitable to be feasible. Furthermore, simulation shows that the empirical distribution which is formed by random numbers generating from the proposed algorithm can well approach the original distribution.

Xiaoping Hu; Jianmin He; Hongsheng Ly

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "identification number shown" 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
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421

Property:NumberOfNonCorporateOrganizations | Open Energy Information  

Open Energy Info (EERE)

NumberOfNonCorporateOrganizations NumberOfNonCorporateOrganizations Jump to: navigation, search This is a property of type Number. Pages using the property "NumberOfNonCorporateOrganizations" Showing 25 pages using this property. (previous 25) (next 25) A Aaronsburg, Pennsylvania + 0 + Abbeville County, South Carolina + 0 + Abbeville, Alabama + 0 + Abbeville, Georgia + 0 + Abbeville, Louisiana + 0 + Abbeville, Mississippi + 0 + Abbeville, South Carolina + 0 + Abbot, Maine + 0 + Abbotsford, Australia + 0 + Abbotsford, Wisconsin + 0 + Abbott, Texas + 0 + Abbottstown, Pennsylvania + 0 + Abbyville, Kansas + 0 + Abercrombie, North Dakota + 0 + Aberdeen Gardens, Washington + 0 + Aberdeen Proving Ground, Maryland + 0 + Aberdeen, Idaho + 0 + Aberdeen, Maryland + 0 + Aberdeen, Mississippi + 0 +

422

Property:NumberOfOrganizations | Open Energy Information  

Open Energy Info (EERE)

NumberOfOrganizations NumberOfOrganizations Jump to: navigation, search This is a property of type Number. Pages using the property "NumberOfOrganizations" Showing 25 pages using this property. (previous 25) (next 25) A Aaronsburg, Pennsylvania + 0 + Abbeville County, South Carolina + 0 + Abbeville, Alabama + 0 + Abbeville, Georgia + 0 + Abbeville, Louisiana + 0 + Abbeville, Mississippi + 0 + Abbeville, South Carolina + 0 + Abbot, Maine + 0 + Abbotsford, Australia + 1 + Abbotsford, Wisconsin + 0 + Abbott, Texas + 0 + Abbottstown, Pennsylvania + 0 + Abbyville, Kansas + 0 + Abercrombie, North Dakota + 0 + Aberdeen Gardens, Washington + 0 + Aberdeen Proving Ground, Maryland + 0 + Aberdeen, Idaho + 0 + Aberdeen, Maryland + 0 + Aberdeen, Mississippi + 0 + Aberdeen, North Carolina + 0 +

423

Property:NumberOfCompanies | Open Energy Information  

Open Energy Info (EERE)

NumberOfCompanies NumberOfCompanies Jump to: navigation, search This is a property of type Number. Pages using the property "NumberOfCompanies" Showing 25 pages using this property. (previous 25) (next 25) A Aaronsburg, Pennsylvania + 0 + Abbeville County, South Carolina + 0 + Abbeville, Alabama + 0 + Abbeville, Georgia + 0 + Abbeville, Louisiana + 0 + Abbeville, Mississippi + 0 + Abbeville, South Carolina + 0 + Abbot, Maine + 0 + Abbotsford, Australia + 1 + Abbotsford, Wisconsin + 0 + Abbott, Texas + 0 + Abbottstown, Pennsylvania + 0 + Abbyville, Kansas + 0 + Abercrombie, North Dakota + 0 + Aberdeen Gardens, Washington + 0 + Aberdeen Proving Ground, Maryland + 0 + Aberdeen, Idaho + 0 + Aberdeen, Maryland + 0 + Aberdeen, Mississippi + 0 + Aberdeen, North Carolina + 0 +

424

EIA Renewable Energy- Number of Companies Involved in Photovoltaic ...  

U.S. Energy Information Administration (EIA)

Renewable data table showing the number of companies involved with cell manufacturing, module/system design, prototype module and systems development, wholesale ...

425

Universal Characteristics of Fractal Fluctuations in Prime Number Distribution  

E-Print Network (OSTI)

The frequency of occurrence of prime numbers at unit number spacing intervals exhibits selfsimilar fractal fluctuations concomitant with inverse power law form for power spectrum generic to dynamical systems in nature such as fluid flows, stock market fluctuations, population dynamics, etc. The physics of long-range correlations exhibited by fractals is not yet identified. A recently developed general systems theory visualises the eddy continuum underlying fractals to result from the growth of large eddies as the integrated mean of enclosed small scale eddies, thereby generating a hierarchy of eddy circulations, or an inter-connected network with associated long-range correlations. The model predictions are as follows: (i) The probability distribution and power spectrum of fractals follow the same inverse power law which is a function of the golden mean. The predicted inverse power law distribution is very close to the statistical normal distribution for fluctuations within two standard deviations from the mean of the distribution. (ii) Fractals signify quantumlike chaos since variance spectrum represents probability density distribution, a characteristic of quantum systems such as electron or photon. (ii) Fractal fluctuations of frequency distribution of prime numbers signify spontaneous organisation of underlying continuum number field into the ordered pattern of the quasiperiodic Penrose tiling pattern. The model predictions are in agreement with the probability distributions and power spectra for different sets of frequency of occurrence of prime numbers at unit number interval for successive 1000 numbers. Prime numbers in the first 10 million numbers were used for the study.

A. M. Selvam

2008-11-12T23:59:59.000Z

426

Site: Contract Name: Contractor: Contract Number: Contract Type...  

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

Contract Name: Contractor: Contract Number: Contract Type: Total Estimated Contract Cost: Contract Period: Minimum Fee Maximum Fee Performance Period Fee Available Total Fee Paid...

427

Alterations in mitochondrial gene copy numbers following irradiation...  

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

Alterations in mitochondrial gene copy numbers following irradiation in radiosensitive mice Sumita Raha Northwestern University Abstract We have developed a quantitative real-time...

428

Alterations in mitochondrial gene copy numbers following irradiation...  

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

Alterations in mitochondrial gene copy numbers following irradiation in radiosensitive mice. Sumita Raha, Qiong Wang, Emily Mirkin, M. Beau Wanzer, Tatjana Paunesku and Gayle...

429

Federal Register Volume 64 Number 14; Friday, January 22, 1999  

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

This document is a FEMP rulemaking excerpt from the January 22, 1999, issue of the Federal Register - Volume 64 Number 14.

430

Request for Proposals Number RHB-3-23115  

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

9 National Renewable Energy Laboratory Managed and Operated by the Alliance for Sustainable Energy, LLC Request for Proposals Number RHB-3-23115 "Construction Project Management...

431

Navigating the Numbers: Greenhouse Gas Data and International...  

Open Energy Info (EERE)

Tool Summary Name: Navigating the Numbers: Greenhouse Gas Data and International Climate Policy AgencyCompany Organization: World Resources Institute Sector: Energy, Land...

432

Number, Energy Consumption, and Energy-Related Carbon ...  

U.S. Energy Information Administration (EIA)

Tabulation of changes in the number, energy consumption, and energy-related carbon emissions of U.S. households, 1980-1997.

433

Social Security Number Reduction Project | Department of Energy  

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

regarding acceptable uses of the Social Security Number (SSN). PA09BASELINEINVENTORY.xls More Documents & Publications DOE Guidance on the Use of the SSN Occupational...

434

Procedure for MOUs Between Fermilab & Foreign SUBJECT NUMBER ...  

SUBJECT: Procedure for MOUs Between Fermilab & Foreign Partners NUMBER: 4501 RESPONSIBILITY: Fermilab Chief Operating Officer REVISION: 01 APPROVED BY: Fermilab Chief ...

435

Traveling Salesman Problem Formulations with $N \\log N$ Number ...  

E-Print Network (OSTI)

Feb 13, 2013 ... Traveling Salesman Problem Formulations with $N \\log N$ Number of Binary Variables. Thomas A. Pogiatzis(tp309 ***at*** cam.ac.uk)

436

Chips, tags and scanners: Ethical challenges for radio frequency identification  

Science Conference Proceedings (OSTI)

Radio Frequency Identification (RFID) systems identify and track objects, animals and, in principle, people. The ability to gather information obtained by tracking consumer goods, government documents, monetary transactions and human beings raises a ... Keywords: RFID, business ethics, ethics, privacy, radio frequency identification, surveillance

Dara J. Glasser; Kenneth W. Goodman; Norman G. Einspruch

2007-07-01T23:59:59.000Z

437

On resampling and uncertainty estimation in Linear System Identification  

Science Conference Proceedings (OSTI)

Linear System Identification yields a nominal model parameter, which minimizes a specific criterion based on the single input-output data set. Here we investigate the utility of various methods for estimating the probability distribution of this nominal ... Keywords: Bootstrap, Model validation, Monte Carlo, Resampling, Subsampling, System identification

Simone Garatti; Robert R. Bitmead

2010-05-01T23:59:59.000Z

438

Identification of Wiener systems with binary-valued output observations  

Science Conference Proceedings (OSTI)

This work is concerned with identification of Wiener systems whose outputs are measured by binary-valued sensors. The system consists of a linear FIR (finite impulse response) subsystem of known order, followed by a nonlinear function with a known parametrization ... Keywords: Binary-valued observations, Identification, Joint identifiability, Parameter estimation, Periodic inputs, Sensor thresholds, Wiener systems

Yanlong Zhao; Le Yi Wang; G. George Yin; Ji-Feng Zhang

2007-10-01T23:59:59.000Z

439

Anaerobic Digestion Process Identification Using Recurrent Neural Network Model  

Science Conference Proceedings (OSTI)

This paper proposes the use of a Recurrent Neural Network Model (RNNM) for decentralized and centralized identification of an aerobic digestion process, carried out in a fixed bed and a recirculation tank anaerobic wastewater treatment system. The analytical ... Keywords: Recurrent neural network model, backpropagation learning, decentralized model, centralized model, system identification, anaerobic digestion bioprocess

Rosalba Galvan-Guerra; Ieroham S. Baruch

2007-11-01T23:59:59.000Z

440

Symbolic identification for fault detection in aircraft gas turbine engines  

E-Print Network (OSTI)

Symbolic identification for fault detection in aircraft gas turbine engines S Chakraborty, S Sarkar and computationally inexpensive technique of component-level fault detection in aircraft gas-turbine engines identification, gas turbine engines, language-theoretic analysis 1 INTRODUCTION The propulsion system of modern

Ray, Asok

Note: This page contains sample records for the topic "identification number shown" 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

Advances in Lee--Schetzen Method for Volterra Filter Identification  

Science Conference Proceedings (OSTI)

This paper concerns the identification of nonlinear discrete causal systems that can be approximated with the Wiener--Volterra series. Some advances in the efficient use of Lee--Schetzen (L--S) method are presented, which make practical the estimate ... Keywords: Lee--Schetzen method, Volterra filters, Wiener kernels, nonlinear system identification

Simone Orcioni; Massimiliano Pirani; Claudio Turchetti

2005-07-01T23:59:59.000Z

442

Identification of design motifs with pattern matching algorithms  

Science Conference Proceedings (OSTI)

Design patterns are important in software maintenance because they help in understanding and re-engineering systems. They propose design motifs, solutions to recurring design problems. The identification of occurrences of design motifs in large systems ... Keywords: Automata simulation, Bit-vector, Design motifs, Design patterns, Experimental validation, Identification of occurrences

Olivier Kaczor; Yann-Gal Guhneuc; Sylvie Hamel

2010-02-01T23:59:59.000Z

443

On Sojourn Times in the $M/M/1$-PS Model, Conditioned on the Number of Other Users  

E-Print Network (OSTI)

We consider the $M/M/1$-PS queue with processor sharing. We study the conditional sojourn time distribution of an arriving customer, conditioned on the number of other customers present. A new formula is obtained for the conditional sojourn time distribution, using a discrete Green's function. This is shown to be equivalent to some classic results of Pollaczeck and Vaulot from 1946. Then various asymptotic limits are studied, including large time and/or large number of customers present, and heavy traffic, where the arrival rate is only slightly less than the service rate.

Zhen, Qiang

2009-01-01T23:59:59.000Z

444

Decoherence of number states in phase-sensitive reservoirs  

E-Print Network (OSTI)

The non-unitary evolution of initial number states in general Gaussian environments is solved analytically. Decoherence in the channels is quantified by determining explicitly the purity of the state at any time. The influence of the squeezing of the bath on decoherence is discussed. The behavior of coherent superpositions of number states is addressed as well.

Alessio Serafini; Fabrizio Illuminati; Silvio De Siena

2003-01-01T23:59:59.000Z

445

NUMBER: BUSF 4.12 SECTION: Finance and Planning  

E-Print Network (OSTI)

by an unusually large number of other persons opening accounts or by other Customers. 16. The person opening1 NUMBER: BUSF 4.12 SECTION: Finance and Planning SUBJECT: University Identity Theft and Detection of the account. 3. "Customer" means a person that has a Covered Account with the University. 4. "Identity Theft

Almor, Amit

446

GTI PROJECT NUMBER 21222 CALIFORNIA NATURAL GAS PIPELINE  

E-Print Network (OSTI)

GTI PROJECT NUMBER 21222 CALIFORNIA NATURAL GAS PIPELINE ASSESSMENT Contract Number: #500 GAS PIPELINE ASSESSMENT #50010050 Legal Notice This information was prepared by Gas Technology;CALIFORNIA NATURAL GAS PIPELINE ASSESSMENT #50010050 Task 3Summary Report AssessmentofCurrentlyAvailablePipeline

447

GTI PROJECT NUMBER 21222 CALIFORNIA NATURAL GAS PIPELINE  

E-Print Network (OSTI)

GTI PROJECT NUMBER 21222 CALIFORNIA NATURAL GAS PIPELINE ASSESSMENT Contract Number: #500 GAS PIPELINE ASSESSMENT #500-10-050 Legal Notice This information was prepared by Gas Technology;CALIFORNIA NATURAL GAS PIPELINE ASSESSMENT #500-10-050 Baseline Technology Assessment for Pipeline Integrity

448

Responding to consumer fairness concerns about Number Portability policies  

Science Conference Proceedings (OSTI)

Mobile telecommunication has been growing very rapidly, surpassing the number of land lines in 2002. Competition between telecommunication companies is very intense. However, in some market segments, the indirect costs of changing carriers may reduce ... Keywords: Leventhal criteria, consumer fairness, customer loyalty, good will, mobile communications, mobile number portability, procedural justice, telecommunications

Jengchung V. Chen; William H. Ross; Shaoyu F. Huang

2007-06-01T23:59:59.000Z

449

Class Permission Numbers Instructor/Department Consent Required classes  

E-Print Network (OSTI)

into the search fields to find the correct class. Academic Institution = KCITY Term: (use the magnifying glass/13/2009 9:38 AM Page 1 Records and Enrollment > Term Processing > Class Permissions > Class Permission Numbers When a class requires department or instructor consent, you must enter a student's ID number

Zeng, Yong - Department of Mathematics and Statistics, University of Missouri

450

Property:NumberOfResourceAssessmentsEnergy | Open Energy Information  

Open Energy Info (EERE)

NumberOfResourceAssessmentsEnergy NumberOfResourceAssessmentsEnergy Jump to: navigation, search This is a property of type Number. Pages using the property "NumberOfResourceAssessmentsEnergy" Showing 25 pages using this property. (previous 25) (next 25) A Afghanistan + 1 + Albania + 0 + Algeria + 1 + Andorra + 0 + Angola + 0 + Anguilla + 0 + Antigua and Barbuda + 1 + Argentina + 0 + Armenia + 1 + Aruba + 0 + Australia + 3 + Austria + 0 + Azerbaijan + 0 + B Bahamas + 1 + Bahrain + 0 + Bangladesh + 1 + Barbados + 1 + Belarus + 0 + Belgium + 0 + Belize + 2 + Benin + 0 + Bermuda + 0 + Bhutan + 0 + Bolivia + 1 + Bosnia and Herzegovina + 0 + (previous 25) (next 25) Retrieved from "http://en.openei.org/w/index.php?title=Property:NumberOfResourceAssessmentsEnergy&oldid=314431

451

Navigating the Numbers: Greenhouse Gas Data and International Climate  

Open Energy Info (EERE)

Navigating the Numbers: Greenhouse Gas Data and International Climate Navigating the Numbers: Greenhouse Gas Data and International Climate Policy Jump to: navigation, search Tool Summary Name: Navigating the Numbers: Greenhouse Gas Data and International Climate Policy Agency/Company /Organization: World Resources Institute Sector: Energy, Land Topics: Co-benefits assessment, GHG inventory, Policies/deployment programs Resource Type: Publications Website: pdf.wri.org/navigating_numbers.pdf References: Navigating the Numbers: Greenhouse Gas Data and International Climate Policy[1] Overview "This report examines greenhouse gas (GHG) emissions at the global, national, sectoral, and fuel levels and identifies implications of the data for international cooperation on global climate change. Emissions are assessed within the broader socioeconomic context faced by countries,

452

Property:NumberOfSolarResources | Open Energy Information  

Open Energy Info (EERE)

NumberOfSolarResources NumberOfSolarResources Jump to: navigation, search This is a property of type Number. Pages using the property "NumberOfSolarResources" Showing 25 pages using this property. (previous 25) (next 25) A Afghanistan + 1 + Albania + 0 + Algeria + 1 + Andorra + 0 + Angola + 0 + Anguilla + 0 + Antigua and Barbuda + 0 + Argentina + 2 + Armenia + 0 + Aruba + 0 + Australia + 0 + Austria + 0 + Azerbaijan + 0 + B Bahamas + 0 + Bahrain + 0 + Bangladesh + 0 + Barbados + 0 + Belarus + 0 + Belgium + 0 + Belize + 0 + Benin + 0 + Bermuda + 0 + Bhutan + 2 + Bolivia + 0 + Bosnia and Herzegovina + 0 + (previous 25) (next 25) Retrieved from "http://en.openei.org/w/index.php?title=Property:NumberOfSolarResources&oldid=313617#SMWResults" What links here

453

ARM - Evaluation Product - Droplet Number Concentration Value-Added Product  

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

ProductsDroplet Number Concentration Value-Added ProductsDroplet Number Concentration Value-Added Product Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Droplet Number Concentration Value-Added Product 2005.01.01 - 2010.12.30 Site(s) SGP General Description Cloud droplet number concentration is an important factor in understanding aerosol-cloud interactions. As aerosol concentration increases, it is expected that droplet number concentration, Nd, will increase and droplet size decrease, for a given liquid water path (Twomey 1977), which will greatly affect cloud albedo as smaller droplets reflect more shortwave radiation. However, the magnitude and variability of these processes under different environmental conditions is still uncertain. McComiskey et al.

454

Identification marking by means of laser peening  

DOE Patents (OSTI)

The invention is a method and apparatus for marking components by inducing a shock wave on the surface that results in an indented (strained) layer and a residual compressive stress in the surface layer. One embodiment of the laser peenmarking system rapidly imprints, with single laser pulses, a complete identification code or three-dimensional pattern and leaves the surface in a state of deep residual compressive stress. A state of compressive stress in parts made of metal or other materials is highly desirable to make them resistant to fatigue failure and stress corrosion cracking. This process employs a laser peening system and beam spatial modulation hardware or imaging technology that can be setup to impress full three dimensional patterns into metal surfaces at the pulse rate of the laser, a rate that is at least an order of magnitude faster than competing marking technologies.

Hackel, Lloyd A. (Livermore, CA); Dane, C. Brent (Livermore, CA); Harris, Fritz (Rocklin, CA)

2002-01-01T23:59:59.000Z

455

Brief paper: Identification and control: Joint input design and H? state feedback with ellipsoidal parametric uncertainty via LMIs  

Science Conference Proceedings (OSTI)

One obstacle in connecting robust control with models generated from prediction error identification is that very few control design methods are able to directly cope with the ellipsoidal parametric uncertainty regions that are generated by such identification ... Keywords: Confidence ellipsoids, H-infinity identification, Identification for robust control, LMI optimization, Least-squares identification, Parameter uncertainty, Robust identification, Robustness to uncertainties, Uncertain linear systems

Mrta Barenthin; Hkan Hjalmarsson

2008-02-01T23:59:59.000Z

456

Phone Numbers for Beam Lines and Other Services | Stanford Synchrotron  

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

Phone Numbers for Beam Lines and Other Services Phone Numbers for Beam Lines and Other Services The local area code for SSRL is 650. All numbers listed below should be dialed as 650-926-xxxx from other area codes. When calling an onsite location from within SSRL simply dial the 4-digit extension. When calling an offsite number within the 650 area code dial, dial 9 plus the 7-digit number. To call a number in another area code dial 9-1-area code - phone number. Beam Lines Beam Line Extension 1-4 5214 1-5 5215 2-1 5221 2-2 5222 2-3 5223 3-3 5233 3-4 5234 4-1 5241 4-2 5242 4-3 5243 5-2 5252 5-3 5253 5-4 5254 6-2 5262 7-1 5271 7-2 5272 7-3 5273 8-1 5281 8-2 5282 9-1 5291 9-2 5292 9-3 5293 10-1 5101 10-2 5102 11-1 8648 11-2 8650 11-3 8656 12-2 5212 13-1 5131 13-2 5132 13-3 5133 User Labs/Services Building Lab/Service Extension

457

Table B15. Number of Establishments in Building, Floorspace, 1999  

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

5. Number of Establishments in Building, Floorspace, 1999" 5. Number of Establishments in Building, Floorspace, 1999" ,"Total Floorspace (million square feet)" ,"All Buildings","Number of Establishments in Building" ,,"One","Two to Five","Six to Ten","Eleven to Twenty","More than Twenty","Currently Unoccupied" "All Buildings ................",67338,43343,10582,3574,3260,4811,1769 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6774,5358,857,"Q","Q","Q",512 "5,001 to 10,000 ..............",8238,5952,1630,137,"Q","Q","Q" "10,001 to 25,000 .............",11153,7812,1982,784,"Q","Q",296

458

Identification of Low Emissions Agricultural Pathways and Priorities for  

Open Energy Info (EERE)

Identification of Low Emissions Agricultural Pathways and Priorities for Identification of Low Emissions Agricultural Pathways and Priorities for Mitigation in Agricultural Landscapes using Integrated Assessment Modeling and Scenarios Jump to: navigation, search Name Identification of Low Emissions Agricultural Pathways and Priorities for Mitigation in Agricultural Landscapes using Integrated Assessment Modeling and Scenarios Agency/Company /Organization CGIAR's Climate Change, Agriculture and Food Security (CCAFS), Canadian International Development Agency (CIDA), the Danish International Development Agency (DANIDA), the European Union, International Fund for Agricultural Development (IFAD) Partner International Institute for Applied Systems Analysis (IIASA) Sector Land Focus Area Agriculture Topics Background analysis, Baseline projection, Low emission development planning, -LEDS, Pathways analysis, Policies/deployment programs

459

Record Number Attend EM's Science Alliance | Department of Energy  

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

Record Number Attend EM's Science Alliance Record Number Attend EM's Science Alliance Record Number Attend EM's Science Alliance October 30, 2013 - 12:00pm Addthis A record 1,200 students and educators visited EM’s Portsmouth Gaseous Diffusion Plant for the fourth annual Science Alliance. A record 1,200 students and educators visited EM's Portsmouth Gaseous Diffusion Plant for the fourth annual Science Alliance. PIKETON, Ohio - More than 1,200 students and educators from 23 southern Ohio schools visited EM's Portsmouth Gaseous Diffusion Plant site for the fourth annual Science Alliance earlier this month. That is a record number of students and schools that participated in the science fair, which includes demonstrations related to science, technology, engineering and math (STEM) and provides the students with career

460

Property:NumberOfUnits | Open Energy Information  

Open Energy Info (EERE)

NumberOfUnits NumberOfUnits Jump to: navigation, search This is a property of type Number. Subproperties This property has the following 8 subproperties: B Black River Farm Solar Project H Hall's Warehouse Corp Solar Project L Lightning Dock Geothermal Facility S Sacramento Municipal Utility District Solar Array Sacramento Soleil Solar Project Salton Sea IV Geothermal Facility Sun Harvest Solar Project W Windy Flats Phase III Pages using the property "NumberOfUnits" Showing 25 pages using this property. (previous 25) (next 25) 3 3-D Metals + 1 + A AB Tehachapi Wind Farm + 31 + AFCEE MMR Turbines + 2 + AG Land 1 + 1 + AG Land 2 + 1 + AG Land 3 + 1 + AG Land 4 + 1 + AG Land 5 + 1 + AG Land 6 + 1 + AVTEC + 1 + Adair Wind Farm I + 1 + Adair Wind Farm II + 230 + Adams Wind Project + 12 +

Note: This page contains sample records for the topic "identification number shown" 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

ORISE: Report shows number of health physics degrees for 2010  

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

report shows number of health physics degrees increased for report shows number of health physics degrees increased for graduates, decreased for undergraduates in 2010 Decreased number of B.S. degrees remains higher than levels in the early 2000 FOR IMMEDIATE RELEASE Dec. 20, 2011 FY12-09 OAK RIDGE, Tenn.-The number of health physics graduate degrees increased for both master's and doctoral candidates in 2010, but decreased for bachelor's degrees, says a report released this year by the Oak Ridge Institute for Science and Education. The ORISE report, Health Physics Enrollments and Degrees Survey, 2010 Data, surveyed 24 academic programs with enrollment and degree data and included students majoring in health physics or in an option program equivalent to a major, such as other health physics-based programs embedded in life

462

Mailing Addresses and Information Numbers for Operations, Field, and Site  

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

About Energy.gov » Mailing Addresses and Information Numbers for About Energy.gov » Mailing Addresses and Information Numbers for Operations, Field, and Site Offices Mailing Addresses and Information Numbers for Operations, Field, and Site Offices Name Telephone Number U.S. Department of Energy Ames Site Office 111 TASF, Iowa State University Ames, Iowa 50011 515-294-9557 U.S. Department of Energy Argonne Site Office 9800 S. Cass Avenue Argonne, IL 60439 630-252-2000 U.S. Department of Energy Berkeley Site Office Berkeley National Laboratory 1 Cyclotron Road Berkeley, CA 94720 510-486-5784 U.S. Department of Energy Bonneville Power Administration P.O. Box 3621 905 NE 11th Avenue Portland, OR 97232 Bonneville Power Administration General and Regional Offices 503-230-3000 U.S. Department of Energy Brookhaven Site Office Upton, NY 11973 631-344-5050

463

Table B10. Employment Size Category, Number of Buildings, 1999  

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

0. Employment Size Category, Number of Buildings, 1999" 0. Employment Size Category, Number of Buildings, 1999" ,"Number of Buildings (thousand)" ,"All Buildings","Number of Workers" ,,"Fewer than 5 Workers","5 to 9 Workers","10 to 19 Workers","20 to 49 Workers","50 to 99 Workers","100 to 249 Workers","250 or More Workers" "All Buildings ................",4657,2376,807,683,487,174,90,39 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",2348,1567,482,226,66,"Q","Q","N" "5,001 to 10,000 ..............",1110,511,180,249,144,"Q","Q","N" "10,001 to 25,000 .............",708,250,105,146,157,46,"Q","Q"

464

A Cryptographically Secure Random Number G enerator for ... - CECM  

E-Print Network (OSTI)

*The work was supported by the MI T ACS NCE o f C a n ada . 1. Page 2. 1 Introduction. Definition 1.1 A pseudo random number generator, PRNG for short, is a.

465

Chern numbers hiding in time-of-flight images  

SciTech Connect

We present a technique for detecting topological invariants--Chern numbers--from time-of-flight images of ultracold atoms. We show that the Chern numbers of integer quantum Hall states of lattice fermions leave their fingerprints in the atoms' momentum distribution. We analytically demonstrate that the number of local maxima in the momentum distribution is equal to the Chern number in two limiting cases, for large hopping anisotropy and in the continuum limit. In addition, our numerical simulations beyond these two limits show that these local maxima persist for a range of parameters. Thus, an everyday observable in cold atom experiments can serve as a useful tool to characterize and visualize quantum states with nontrivial topology.

Zhao Erhai; Satija, Indubala I. [School of Physics, Astronomy, and Computational Sciences, George Mason University, Fairfax, Virginia 22030 (United States); Joint Quantum Institute, National Institute of Standards and Technology and University of Maryland, Gaithersburg, Maryland 20899 (United States); Bray-Ali, Noah; Williams, Carl J.; Spielman, I. B. [Joint Quantum Institute, National Institute of Standards and Technology and University of Maryland, Gaithersburg, Maryland 20899 (United States)

2011-12-15T23:59:59.000Z

466

Champernowne's Number, Strong Normality, and the X ... - CECM  

E-Print Network (OSTI)

A number ? is simply normal in the base r if every 1-string in its .... The results for [ 0, 1) are extended to R in the same way. 5. .... Science and Applications), 1988.

467

A Geometric Analysis of Renegar's Condition Number, and its ...  

E-Print Network (OSTI)

Apr 11, 2007 ... Herein we show that Renegar's condition number is bounded from above ... associated with C, where Y ? is the dual space of Y . C is said to be...

468

Two properties of condition numbers for convex programs via ...  

E-Print Network (OSTI)

has to do with the growth of the condition numbers of the linear equations arising in ...... Endow the data space with a norm as follows: Let (A, b) be the operator...

469

Improving the Accuracy of Mapping Cyclone Numbers and Frequencies  

Science Conference Proceedings (OSTI)

The uncertainties associated with the mapping of cyclone numbers and frequencies are analyzed using the 42-yr winter climatology of cyclone tracks derived from 6-hourly NCEPNCAR reanalysis. Tracking is performed using an automated procedure, ...

Olga Zolina; Sergey K. Gulev

2002-03-01T23:59:59.000Z

470

P-adic Reconstruction of Rational Numbers - Computer Science  

E-Print Network (OSTI)

P-adic Reconstruction of Rational Numbers. Paul S. Wang*. Kent State University . Department of Mathematical Sciences. Kent. Ohio U.S.A.. 44242. M.J.T. Guy.

471

On the CRAY-System Random Number Generator  

E-Print Network (OSTI)

erator Karl Entacher University of Salzburg Department of Mathematics Salzburg, Austria E-mail: Karl.Entacher@sbg.ac.at We present a theoretical and empirical analysis of the quality of the CRAY-system random number generator RANF in parallel settings. Subsequences of this generator are used to obtain parallel streams of random numbers for each processor. We use the spectral test to analyze the quality of lagged subsequences of RANF with step sizes 2 , l 1, appropriate for CRAY systems. Our results demonstrate that with increasing l, the quality of lagged subsequences is strongly reduced in comparison to the original sequence. The results are supported by a numerical Monte Carlo integration study. We also use the spectral test to exhibit the well known longrange correlations between consecutive blocks of random numbers obtained from RANF. Keywords: Random number ge

Harl Entacher

1999-01-01T23:59:59.000Z

472

Using linear congruential generators for parallel random number generation  

Science Conference Proceedings (OSTI)

Linear congruential random number generators are widely used in simulation and Monte Carlo calculations. Because they are very fast, and because they have minimal state space, they remain attractive for use in parallel computing environments. We discuss ...

M. J. Durst

1989-10-01T23:59:59.000Z

473

Adaptive low Mach number simulations of nuclear flame microphysics  

Science Conference Proceedings (OSTI)

We introduce a numerical model for the simulation of nuclear flames in Type Ia supernovae. This model is based on a low Mach number formulation that analytically removes acoustic wave propagation while retaining the compressibility effects resulting ...

J. B. Bell; M. S. Day; C. A. Rendleman; S. E. Woosley; M. A. Zingale

2004-04-01T23:59:59.000Z

474

TTRDC - Publications - TransForum Volume 11 Number 1  

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

Reducing Greenhouse Gas Emissions from U.S. Transportation ghg graph Reduction of GHG Emissions per Scenario. Larger image. Transportation is the number one cause of U.S. oil...

475

Conserved number fluctuations in a hadron resonance gas model  

E-Print Network (OSTI)

Net-baryon, net-charge and net-strangeness number fluctuations in high energy heavy-ion collisions are discussed within the framework of a hadron resonance gas (HRG) model. Ratios of the conserved number susceptibilities calculated in HRG are being compared to the corresponding experimental measurements to extract information about the freeze-out condition and the phase structure of systems with strong interactions. We emphasize the importance of considering the actual experimental acceptances in terms of kinematics (pseudorapidity ($\\eta$) and transverse momentum ($p_{T}$)), the detected charge state, effect of collective motion of particles in the system and the resonance decay contributions before comparisons are made to the theoretical calculations. In this work, based on HRG model, we report that the net-baryon number fluctuations are least affected by experimental acceptances compared to the net-charge and net-strangeness number fluctuations.

P. Garg; D. K. Mishra; P. K. Netrakanti; B. Mohanty; A. K. Mohanty; B. K. Singh; N. Xu

2013-04-26T23:59:59.000Z

476

Some ideas from the geometry of numbers - CECM  

E-Print Network (OSTI)

... are d-2 nonreal conjugates, where denotes not the discriminant of the field , but rather the discriminant of the order i.e., ... Then is a beta number (and hence ).

477

The non-commutative n-th Chern number.  

E-Print Network (OSTI)

The theory of the higher Chern numbers in the presence of strong disorder is developed. Sharp quantization and homotopy invariance conditions are provided. The relevance of the result to the field of strongly disordered topological insulators is discussed.

478

Traveling Salesman Problem Formulations with N log N Number of ...  

E-Print Network (OSTI)

time reducing the number of binary variables to O(N log2 N). The expense is the increase in the constraint set cardinality measuring at O(N2 log2 N), and in the...

479

Debunching into a bucket of lower harmonic number  

SciTech Connect

The adiabatic debunching of beam from buckets of higher harmonic number into waiting buckets of lower harmonic number is a critical step in the current scheme of operation for Tev I. The optimum choice of rf system parameters for this ''bunch coalescing'' process is not immediately obvious. In this note two examples are presented along with generalizations based upon them and experience with the Tevatron I design which can simplify the selection of appropriate parameters for different conditions.

MacLachlan, J.A.; Griffin, J.E.

1987-12-09T23:59:59.000Z

480

See Behind the Numbers at WSU Tri-Cities  

Science Conference Proceedings (OSTI)

The enrollment numbers for WSU were released this week. The enrollment at the Tri-Cities campus remained flat, but these numbers do not tell the full story of WSU Tri-Cities and the many things we have to celebrate about our local campus. WSU Tri-Cities has gone through significant growth and change over the past several years and has fostered closer ties to its alumni, the community, region and state.

Fisher, Brad; Kluse, Michael; Novich, Carolynn M.

2011-09-18T23:59:59.000Z

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481

The Stokes-Einstein Relation at Moderate Schmidt Number  

E-Print Network (OSTI)

The Stokes-Einstein relation for the self-diffusion coefficient of a spherical particle suspended in an incompressible fluid is an asymptotic result in the limit of large Schmidt number, that is, when momentum diffuses much faster than the particle. When the Schmidt number is moderate, which happens in most particle methods for hydrodynamics, deviations from the Stokes-Einstein prediction are expected. We study these corrections computationally using a recently-developed minimally-resolved method for coupling particles to an incompressible fluctuating fluid in both two and three dimensions. We find that for moderate Schmidt numbers the diffusion coefficient is reduced relative to the Stokes-Einstein prediction by an amount inversely proportional to the Schmidt number in both two and three dimensions. We find, however, that the Einstein formula is obeyed at all Schmidt numbers, consistent with linear response theory. The numerical data is in good agreement with an approximate self-consistent theory, which can be used to estimate finite-Schmidt number corrections in a variety of methods. Our results indicate that the corrections to the Stokes-Einstein formula come primarily from the fact that the particle itself diffuses together with the momentum. Our study separates effects coming from corrections to no-slip hydrodynamics from those of finite separation of time scales, allowing for a better understanding of widely observed deviations from the Stokes-Einstein prediction in particle methods such as molecular dynamics.

F. Balboa Usabiaga; X. Xie; R. Delgado-Buscalioni; A. Donev

2013-09-27T23:59:59.000Z

482

MARCH 2013 VOLUME 8 NUMBER 3 ITIFA6 (ISSN 1556-6013) APRIL 2013 VOLUME 8 NUMBER 4  

E-Print Network (OSTI)

shown in ArcMap 10.0 with substations and transmission lines (top) and its clustering result Grid Based on Self-Organizing Map," by J. Yan, et al., p. 646. For the March 2013 issue, see p. 425 Grid Based on Self-Organizing Map Jun Yan, Student Member, IEEE, Yihai Zhu, Haibo He, Senior Member

He, Haibo

483

Reference material RM 7811-7 for identification cards with high coercivity high density magnetic stripes  

E-Print Network (OSTI)

Reference material RM 7811-7 for identification cards with high coercivity high density magnetic stripes

Albrecht, M

2003-01-01T23:59:59.000Z

484

Effective dose and several factors of its identification. (Assessment of radiation hazard in space flights)  

E-Print Network (OSTI)

Effective dose and several factors of its identification. (Assessment of radiation hazard in space flights)

Farber, Yu V; Grigoriev, Yu G; Tabakova, L A

1971-01-01T23:59:59.000Z

485

Systematic Metastable Atmospheric Regime Identification in an AGCM  

Science Conference Proceedings (OSTI)

In this study the authors apply a recently developed clustering method for the systematic identification of metastable atmospheric regimes in high-dimensional datasets generated by atmospheric models. The novelty of this approach is that it ...

Christian Franzke; Illia Horenko; Andrew J. Majda; Rupert Klein

2009-07-01T23:59:59.000Z

486

Identification of performance indicators for nuclear power plants  

E-Print Network (OSTI)

Performance indicators have been assuming an increasingly important role in the nuclear industry. An integrated methodology is proposed in this research for the identification and validation of performance indicators for ...

Sui, Yu, 1973-

2001-01-01T23:59:59.000Z

487

Language identification: the long and the short of the matter  

Science Conference Proceedings (OSTI)

Language identification is the task of identifying the language a given document is written in. This paper describes a detailed examination of what models perform best under different conditions, based on experiments across three separate datasets and ...

Timothy Baldwin; Marco Lui

2010-06-01T23:59:59.000Z

488

Automatic identification of teams in R and D  

Science Conference Proceedings (OSTI)

This paper presents a system for identifying persons who have proper skills to form a specialized team capable to execute self-managed projects of research and development. Such identification is based on techniques of textual information retrieval applied ...

Fabricio Enembreck; Edson Scalabrin; Cesar Tacla; Brulio vila

2006-05-01T23:59:59.000Z

489

Error weighted classifier combination for multi-modal human identification  

E-Print Network (OSTI)

In this paper we describe a technique of classifier combination used in a human identification system. The system integrates all available features from multi-modal sources within a Bayesian framework. The framework allows ...

Ivanov, Yuri

2005-12-14T23:59:59.000Z

490

Objective Identification of Cyclones and Their Circulation Intensity, and Climatology  

Science Conference Proceedings (OSTI)

An updated procedure for objective identification and tracking of surface cyclones from gridded analyses is described. Prior smoothing of the raw data with a constant radius spatial filter is used to remove distortions related to the particular ...

Mark R. Sinclair

1997-09-01T23:59:59.000Z

491

Mutation mapping and identification by whole-genome sequencing  

E-Print Network (OSTI)

Genetic mapping of mutations in model systems has facilitated the identification of genes contributing to fundamental biological processes including human diseases. However, this approach has historically required the prior ...

Leshchiner, Ignaty

492

Improving the risk identification process for a global supply chain  

E-Print Network (OSTI)

This thesis describes a proposed risk identification process that is intended to systematically identify potential risks that could materialize within a company's supply chain that would affect component supply. The process ...

Mody, Amil

2012-01-01T23:59:59.000Z

493

Electric Vehicle Preparedness - Task 2: Identification of Joint...  

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

PROGRAM Electric Vehicle Preparedness Task 2: Identification of Joint Base Lewis McChord Vehicles for Installation of Data Loggers June 2013 Prepared for: Joint Base Lewis McChord...

494

An Automated Radar Technique for the Identification of Tropical Precipitation  

Science Conference Proceedings (OSTI)

A radar-based automated technique for the identification of tropical precipitation was developed to improve quantitative precipitation estimation during extreme rainfall events. The technique uses vertical profiles of reflectivity to identify the ...

Xiaoyong Xu; Kenneth Howard; Jian Zhang

2008-10-01T23:59:59.000Z

495

Parameter identification for chemical models in combustion problems  

Science Conference Proceedings (OSTI)

We present an algorithm for parameter identification in combustion problems modeled by partial differential equations. The method includes local mesh refinement controlled by a posteriori error estimation with respect to the error in the parameters. ...

R. Becker; M. Braack; B. Vexler

2005-08-01T23:59:59.000Z

496

Nonlinear stochastic system identification techniques for biological tissues/  

E-Print Network (OSTI)

This research develops a device capable of measuring the nonlinear dynamic mechanical properties of human tissue in vivo. The enabling technology is the use of nonlinear stochastic system identification techniques in ...

Chen, Yi, S.M. Massachusetts Institute of Technology

2010-01-01T23:59:59.000Z

497

Combinatorial screening for the identification of Mg-based destabilize...  

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

Combinatorial screening for the identification of Mg-based destabilized hydrogen storage materials Speaker(s): Robin Gremaud Date: October 16, 2006 - 12:00pm Location: 90-3122...

498

Communications device identification methods, communications methods, wireless communications readers, wireless communications systems, and articles of manufacture  

DOE Patents (OSTI)

Communications device identification methods, communications methods, wireless communications readers, wireless communications systems, and articles of manufacture are described. In one aspect, a communications device identification method includes providing identification information regarding a group of wireless identification devices within a wireless communications range of a reader, using the provided identification information, selecting one of a plurality of different search procedures for identifying unidentified ones of the wireless identification devices within the wireless communications range, and identifying at least some of the unidentified ones of the wireless identification devices using the selected one of the search procedures.

Steele, Kerry D [Kennewick, WA; Anderson, Gordon A [Benton City, WA; Gilbert, Ronald W [Morgan Hill, CA

2011-02-01T23:59:59.000Z

499

Probing Signal Design for Power System Identification  

Science Conference Proceedings (OSTI)

This paper investigates the design of effective input signals for low-level probing of power systems. In 2005, 2006, and 2008 the Western Electricity Coordinating Council (WECC) conducted four large-scale system wide tests of the western interconnected power system where probing signals were injected by modulating the control signal at the Celilo end of the Pacific DC intertie. A major objective of these tests is the accurate estimation of the inter-area electromechanical modes. A key aspect of any such test is the design of an effective probing signal that leads to measured outputs rich in information about the modes. This paper specifically studies low-level probing signal design for power-system identification. The paper describes the design methodology and the advantages of this new probing signal which was successfully applied during these tests. This probing input is a multi-sine signal with its frequency content focused in the range of the inter-area modes. The period of the signal is over two minutes providing high-frequency resolution. Up to 15 cycles of the signal are injected resulting in a processing gain of 15. The resulting system response is studied in the time and frequency domains. Because of the new probing signal characteristics, these results show significant improvement in the output SNR compared to previous tests.

Pierre, John W.; Zhou, Ning; Tuffner, Francis K.; Hauer, John F.; Trudnowski, Daniel J.; Mittelstadt, William

2010-05-31T23:59:59.000Z

500

Target Identification Using Dictionary Matching of Generalized Polarization Tensors  

E-Print Network (OSTI)

The aim of this paper is to provide a fast and efficient procedure for (real-time) target identification in imaging based on matching on a dictionary of precomputed generalized polarization tensors (GPTs). The approach is based on some important properties of the GPTs and new invariants. A new shape representation is given and numerically tested in the presence of measurement noise. The stability and resolution of the proposed identification algorithm is numerically quantified.

Habib Ammari; Thomas Boulier; Josselin Garnier; Wenjia Jing; Hynb Kang; Han Wang

2012-04-13T23:59:59.000Z