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Note: This page contains sample records for the topic "understood sanyal classification" 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

Sanyal Temperature Classification | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExplorationUT-g Grant ofRichardton Abbey

2

Category:Sanyal Temperature Classification | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160Benin: EnergyBostonFacilityCascadeJump to:ListsGeothermalpower.jpg Looking

3

Property:SanyalTempWellhead | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration JumpSanyalTempWellhead Jump to: navigation, search Property Name

4

Zachary Hensley, Jibonananda Sanyal, Joshua New Energy and Transportation Sciences Division  

E-Print Network [OSTI]

modified and evaluated using different energy models, including DOE's EnergyPlus and multiple programsZachary Hensley, Jibonananda Sanyal, Joshua New Energy and Transportation Sciences Division@ornl.gov Provenance In the scientific world, it is important for researchers to know where their data came from

Wang, Xiaorui "Ray"

5

Is the Calcite-Water Interface Understood? Direct Comparisons...  

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

Is the Calcite-Water Interface Understood? Direct Comparisons of Molecular Dynamics Simulations with Specular X-ray Reflectivity Is the Calcite-Water Interface Understood? Direct...

6

Classification Documents and Publications  

Broader source: Energy.gov [DOE]

Certain documents and publications created or issued by the Office of Classification are available from this page.

7

Security classification of information  

SciTech Connect (OSTI)

This document is the second of a planned four-volume work that comprehensively discusses the security classification of information. The main focus of Volume 2 is on the principles for classification of information. Included herein are descriptions of the two major types of information that governments classify for national security reasons (subjective and objective information), guidance to use when determining whether information under consideration for classification is controlled by the government (a necessary requirement for classification to be effective), information disclosure risks and benefits (the benefits and costs of classification), standards to use when balancing information disclosure risks and benefits, guidance for assigning classification levels (Top Secret, Secret, or Confidential) to classified information, guidance for determining how long information should be classified (classification duration), classification of associations of information, classification of compilations of information, and principles for declassifying and downgrading information. Rules or principles of certain areas of our legal system (e.g., trade secret law) are sometimes mentioned to .provide added support to some of those classification principles.

Quist, A.S.

1993-04-01T23:59:59.000Z

8

National Geothermal Resource Assessment and Classification |...  

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

Geothermal Resource Assessment and Classification National Geothermal Resource Assessment and Classification National Geothermal Resource Assessment and Classification presentation...

9

Standard Subject Classification System  

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

The order establishes the DOE Standard Subject Classification System for classifying documents and records by subject, including correspondence, directives, and forms.Cancels DOE O 0000.1.

1979-08-14T23:59:59.000Z

10

Commercial Vehicle Classification using Vehicle Signature Data  

E-Print Network [OSTI]

Traffic Measurement and Vehicle Classification with SingleG. Ritchie. Real-time Vehicle Classification using InductiveReijmers, J.J. , "On-line vehicle classification," Vehicular

Liu, Hang; Jeng, Shin-Ting; Andre Tok, Yeow Chern; Ritchie, Stephen G.

2008-01-01T23:59:59.000Z

11

Classification of Information Manual  

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

To specify responsibilities, authorities, policy, and procedures for the management of the Department of Energy (DOE) classification system. Cancels DOE O 5650.2, dated 12-12-1978. Canceled by DOE O 5650.2B, dated 12-31-1991.

1985-05-08T23:59:59.000Z

12

Position Management and Classification  

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

The order establishes departmental requirements and responsibilities for classifying positions using general schedule (GS) and federal wage system (FWS) standards and for developing and administering a sound position management and classification program within the Department. Cancels Chapter VII of DOE O 320.1.

2015-04-01T23:59:59.000Z

13

Prof. Sugata Sanyal Tata Institute of Fundamental Research  

E-Print Network [OSTI]

tongue can get you into deep water. #12;Types of professors:\\The Sage The Sage stands at the front and projects meant to carry to the next sphere of existence. #12;Types of professors:\\The Flatliner Flatliner. The Demagogue is best recognized by the confidence and star power that oozes from their pores. They are often

Sanyal, Sugata

14

Property:SanyalTempReservoir | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump

15

Classification of Information  

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

To provide specific responsibilities, standards, and procedures for the management of the Department of Energy (DOE) classification system. Cancels DOE O 5650.1, dated 7-18-78; DOE N 5650.1, dated 8-7-78; DOE N 5650.2, dated 8-7-78; DOE N 5650.3, dated 8-7-78. Canceled by DOE O 5650.2A, dated 5-8-95

1978-12-12T23:59:59.000Z

16

Classification | Department of Energy  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy UsageAUDITVehiclesTankless orAChief Medical Officer ChiefDepartmentClassification

17

Seismic event classification system  

DOE Patents [OSTI]

In the computer interpretation of seismic data, the critical first step is to identify the general class of an unknown event. For example, the classification might be: teleseismic, regional, local, vehicular, or noise. Self-organizing neural networks (SONNs) can be used for classifying such events. Both Kohonen and Adaptive Resonance Theory (ART) SONNs are useful for this purpose. Given the detection of a seismic event and the corresponding signal, computation is made of: the time-frequency distribution, its binary representation, and finally a shift-invariant representation, which is the magnitude of the two-dimensional Fourier transform (2-D FFT) of the binary time-frequency distribution. This pre-processed input is fed into the SONNs. These neural networks are able to group events that look similar. The ART SONN has an advantage in classifying the event because the types of cluster groups do not need to be pre-defined. The results from the SONNs together with an expert seismologist's classification are then used to derive event classification probabilities. 21 figures.

Dowla, F.U.; Jarpe, S.P.; Maurer, W.

1994-12-13T23:59:59.000Z

18

Seismic event classification system  

DOE Patents [OSTI]

In the computer interpretation of seismic data, the critical first step is to identify the general class of an unknown event. For example, the classification might be: teleseismic, regional, local, vehicular, or noise. Self-organizing neural networks (SONNs) can be used for classifying such events. Both Kohonen and Adaptive Resonance Theory (ART) SONNs are useful for this purpose. Given the detection of a seismic event and the corresponding signal, computation is made of: the time-frequency distribution, its binary representation, and finally a shift-invariant representation, which is the magnitude of the two-dimensional Fourier transform (2-D FFT) of the binary time-frequency distribution. This pre-processed input is fed into the SONNs. These neural networks are able to group events that look similar. The ART SONN has an advantage in classifying the event because the types of cluster groups do not need to be pre-defined. The results from the SONNs together with an expert seismologist's classification are then used to derive event classification probabilities.

Dowla, Farid U. (Castro Valley, CA); Jarpe, Stephen P. (Brentwood, CA); Maurer, William (Livermore, CA)

1994-01-01T23:59:59.000Z

19

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION JOB TITLE: CUSTODIAN (Regular; Twelve and ledges and clean fixtures. Maintain building entrances according to conditions by removing snow and ice

Endres. William J.

20

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION JOB TITLE: CUSTODIAN (9 month, part according to conditions by removing snow and ice, applying sand and salt, and removing debris. Adhere

Note: This page contains sample records for the topic "understood sanyal classification" 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

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION JOB TITLE: CUSTODIAN (9 month, full according to conditions by removing snow and ice, applying sand and salt, and removing debris. Adhere

22

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION JOB TITLE: CUSTODIAN (9 month, full and clean fixtures. Maintain building entrances according to conditions by removing snow and ice, applying

23

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION JOB TITLE: CUSTODIAN (Regular; Twelve according to conditions by removing snow and ice, applying sand and salt, and removing debris. Adhere

24

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION JOB TITLE: CUSTODIAN (12-month, full according to conditions by removing snow and ice, applying sand and salt, and removing debris. Adhere

25

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION JOB TITLE: BUILDING MECHANIC II (Pay, parking lots, elevators, snow conditions, HVAC equipment temperature control systems, pool systems, ice

26

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION JOB TITLE: CUSTODIAN/EVENT ASSOCIATE entrances according to conditions by removing snow and ice, applying sand and salt, and removing debris

27

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION JOB TITLE: CUSTODIAN (12-month, full and clean fixtures. Maintain building entrances according to conditions by removing snow and ice, applying

28

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION JOB TITLE: CUSTODIAN (12 month, part according to conditions by removing snow and ice, applying sand and salt, and removing debris. Adhere

29

Waste classification sampling plan  

SciTech Connect (OSTI)

The purpose of this sampling is to explain the method used to collect and analyze data necessary to verify and/or determine the radionuclide content of the B-Cell decontamination and decommissioning waste stream so that the correct waste classification for the waste stream can be made, and to collect samples for studies of decontamination methods that could be used to remove fixed contamination present on the waste. The scope of this plan is to establish the technical basis for collecting samples and compiling quantitative data on the radioactive constituents present in waste generated during deactivation activities in B-Cell. Sampling and radioisotopic analysis will be performed on the fixed layers of contamination present on structural material and internal surfaces of process piping and tanks. In addition, dose rate measurements on existing waste material will be performed to determine the fraction of dose rate attributable to both removable and fixed contamination. Samples will also be collected to support studies of decontamination methods that are effective in removing the fixed contamination present on the waste. Sampling performed under this plan will meet criteria established in BNF-2596, Data Quality Objectives for the B-Cell Waste Stream Classification Sampling, J. M. Barnett, May 1998.

Landsman, S.D.

1998-05-27T23:59:59.000Z

30

Classification Schemes for Collection Mediation  

E-Print Network [OSTI]

of the author. #12;Abstract Work domain analysis and work centered design is a new approach to designClassification Schemes for Collection Mediation: Work Centered Design and Cognitive Work Analysis science. #12;Classification Schemes for Collection Mediation: Cognitive Work Analysis and Work Centered

31

National Geothermal Resource Assessment and Classification |...  

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

Resource Assessment and Classification National Geothermal Resource Assessment and Classification This work will enable lower riskcost deployment of conventional and EGS...

32

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION Job Title: DIRECTOR Department: CENTER faculty in developing and assessing course goals in support of program and university learning goals for online and blended learning. Provide assistance in evaluating and implementing educational technologies

Endres. William J.

33

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION JOB TITLE: CUSTODIAN/EVENT ASSOCIATE to conditions by removing snow and ice, applying sand and salt, and removing debris. Adhere to current uniform

Endres. William J.

34

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION JOB TITLE: CUSTODIAN (12 month/40 and clean fixtures. Maintain building entrances according to conditions by removing snow and ice, applying be exercised over seasonal/temporary university employees and student assistants. QUALIFICATION REQUIREMENTS

35

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION JOB TITLE: CUSTODIAN (12 month and ice, applying sand and salt, and removing debris. Adhere to current department uniform policy supervision may be exercised over seasonal/temporary university employees and student assistants

36

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION JOB TITLE: CUSTODIAN (12 mos and clean fixtures. Maintain building entrances according to conditions by removing snow and ice, applying be exercised over seasonal/temporary university employees and student assistants. QUALIFICATION REQUIREMENTS

37

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION JOB TITLE: CUSTODIAN (9 month/20 hours and clean fixtures. Maintain building entrances according to conditions by removing snow and ice, applying be exercised over seasonal/temporary university employees and student assistants. QUALIFICATION REQUIREMENTS

38

Hierarchical classification of modulation signals  

E-Print Network [OSTI]

This thesis addresses the problem of classifying both analog and digital modulation signals using different kinds of classifiers. The classification of modulation signals has both civilian and military applications. A total of 31 statistical signal...

Kim, Nam Jin

2002-01-01T23:59:59.000Z

39

Brain MRI Classification using the Expectation Maximization  

E-Print Network [OSTI]

Brain MRI Classification using the Expectation Maximization made a brain magnetic resonance image (MRI) classification algorithm that uses a twostage applied to a set of normal brain MR images for further testing. We accomplished a working

Chen, Tsuhan

40

Reflectance Function Approximation for Material Classification  

E-Print Network [OSTI]

Reflectance Function Approximation for Material Classification Edward Wild CS 766 Final Project This report summarizes the results of a project to approximate reflectance functions and classify materials to classify materials. Classification algorithms are proposed to deal with unseen materials. Experimental

Dyer, Charles R.

Note: This page contains sample records for the topic "understood sanyal classification" 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

Updating the Classification of Geothermal Resources- Presentation  

Broader source: Energy.gov [DOE]

USGS is working with DOE, the geothermal industry, and academic partners to develop a new geothermal resource classification system.

42

Updating the Classification of Geothermal Resources  

Broader source: Energy.gov [DOE]

USGS is working with DOE, the geothermal industry, and academic partners to develop a new geothermal resource classification system.

43

Optimization Online - Classification with Guaranteed Probability of ...  

E-Print Network [OSTI]

Mar 18, 2009 ... Classification with Guaranteed Probability of Error. Marco C. ... Category 3: Applications -- Science and Engineering (Statistics ). Citation:.

Marco C. Campi

2009-03-18T23:59:59.000Z

44

Comparison: Meningioma Classification using Wavelet Packets and Normal Texture based Classification  

E-Print Network [OSTI]

Energy Based Classification Accuracy 0 20 40 60 80 100 120 F M P T Overall Meningiomas %Accuracy RawComparison: Meningioma Classification using Wavelet Packets and Normal Texture based Classification performed better were obtained from each · Classification using k-nn (leave one out). Introduction

Qureshi, Hammad

45

North Carolina State Residence Classification Manual  

E-Print Network [OSTI]

North Carolina State Residence Classification Manual A Manual to Assist the Public Higher Education Employees and Their Families 20 10. The Academic Common Market Program 20 11. Tuition Classification Governing Classification Determinations 12 A. Fundamental Principles of the Law of Domicile 12 1

Thaxton, Christopher S.

46

Hierarchical Classification of Documents with Error Control  

E-Print Network [OSTI]

Hierarchical Classification of Documents with Error Control Chun≠hung Cheng 1 , Jian Tang 2 , Ada. Classification is a function that matches a new object with one of the predefined classes. Document classification is characterized by the large number of attributes involved in the objects (documents

Fu, Ada Waichee

47

Multicriteria Inventory Classification Using A Genetic Algorithm  

E-Print Network [OSTI]

Multicriteria Inventory Classification Using A Genetic Algorithm H. Altay Guvenir a;1 , and Erdal. The new crossover technique is applied to the prob­ lem of multicriteria inventory classification. The results are compared with the classical inventory classification technique using Analytical Hierarchy

G√ľvenir, H. Altay

48

THE UNIVERSITY OF CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

1 THE UNIVERSITY OF ROCHESTER CLASSIFICATION DESCRIPTION TITLE: Web Specialist and Analyst DATE: 01 ­ Advancement Service and provide assistance in the development and management of web-based assets, direct solicitations support ­ webpages for print and e-mail marketing support, web development, Share

Portman, Douglas

49

Genetic classification of petroleum basins  

SciTech Connect (OSTI)

Rather than relying on a descriptive geologic approach, this genetic classification is based on the universal laws that control processes of petroleum formation, migration, and entrapment. Petroleum basins or systems are defined as dynamic petroleum-generating and concentrating physico-chemical systems functioning on a geologic space and time scale. A petroleum system results from the combination of a generative subsystem (or hydrocarbon kitchen), essentially controlled by chemical processes, and a migration-entrapment subsystem, controlled by physical processes. The generative subsystem provides a certain supply of petroleum to the basin during a given geologic time span. The migration-entrapment subsystem receives petroleum and distributes it in a manner that can lead either to dispersion and loss or to concentration of the regional charge into economic accumulations. The authors classification scheme for petroleum basins rests on a simple working nomenclature consisting of the following qualifiers: (1) charge factor: undercharged, normally charged, or supercharged, (2) migration drainage factor: vertically drained or laterally drained, and (3) entrapment factor: low impedance or high impedance. Examples chosen from an extensive roster of documented petroleum basins are reviewed to explain the proposed classification.

Demaison, G.; Huizinga, B.J.

1989-03-01T23:59:59.000Z

50

Generalized Jackiw-Rebbi Model and Topological Classification of Free Fermion Insulators  

E-Print Network [OSTI]

We present a new perspective to the classification of topological phases in free fermion insulators by generalizing the Jackiw-Rebbi model to arbitrary dimensions. We show that a generalized Jackiw-Rebbi model where the Dirac mass ($m$) satisfies $m(x)=-m(-x)$ is invariant under a parity transformation ($P$) that relates the $x>0$ half to the $xtopological classification of free fermion insulators. Gapless edge states are a natural consequence of our construction and their topological nature can be understood from the fact that all gapless edge states at a given interface transform similarly under $P$ (all odd or all even). A naive non-topological model for states confined to the interface will allow both even and odd states.

O. Nganba Meetei; Archana Anandakrishnan

2014-06-02T23:59:59.000Z

51

Discriminant forest classification method and system  

DOE Patents [OSTI]

A hybrid machine learning methodology and system for classification that combines classical random forest (RF) methodology with discriminant analysis (DA) techniques to provide enhanced classification capability. A DA technique which uses feature measurements of an object to predict its class membership, such as linear discriminant analysis (LDA) or Andersen-Bahadur linear discriminant technique (AB), is used to split the data at each node in each of its classification trees to train and grow the trees and the forest. When training is finished, a set of n DA-based decision trees of a discriminant forest is produced for use in predicting the classification of new samples of unknown class.

Chen, Barry Y.; Hanley, William G.; Lemmond, Tracy D.; Hiller, Lawrence J.; Knapp, David A.; Mugge, Marshall J.

2012-11-06T23:59:59.000Z

52

Geomorphic Stream Classification "A Classification of Natural Rivers", Rosgen, D.L.  

E-Print Network [OSTI]

and animals are constrained by natural channel physics #12;Stream Corridor Restoration: Principles, ProcessesGeomorphic Stream Classification "A Classification of Natural Rivers", Rosgen, D.L. #12;Why is Stream Classification Essential? Napeequa River · Physical stream channel evolution ·Similar stream types

53

Hierarchical Classification of Documents with Error Control  

E-Print Network [OSTI]

Hierarchical Classification of Documents with Error Control Chun-hung Cheng1 , Jian Tang2 , Ada Wai is a function that matches a new object with one of the predefined classes. Document classification is characterized by the large number of attributes involved in the objects (documents). The traditional method

King, Kuo Chin Irwin

54

UCSD Implementing Procedures 36/Classification of Positions  

E-Print Network [OSTI]

UCSD Implementing Procedures (HR-S-1) 36/Classification of Positions I. REFERENCES AND RELATED POLICIES A. UCSD Implementing Procedures 20 ­ Recruitment B. UC PPSM 36 - Classification of Positions C shall be obtained prior to any commitment to the concerned individual. III. PROCEDURES A. New

Tsien, Roger Y.

55

Approaching Real-time Network Traffic Classification  

E-Print Network [OSTI]

and studies. It serves as the input for Intrusion Detection Systems, provides Class-of-Service (CoS) mapping22 Approaching Real-time Network Traffic Classification ISSN 1470-5559 RR-06-12 October 2006-time Network Traffic Classification Wei Li, Kaysar Abdin, Robert Dann and Andrew Moore Department of Computer

Haddadi, Hamed

56

Towards a Real-time Transient Classification Engine  

E-Print Network [OSTI]

Transient Classification Engine J. S. Bloom 1, , D. L. StarrPTF, this classification engine is being built to not only

Bloom, Josh

2008-01-01T23:59:59.000Z

57

A complete electrical hazard classification system and its application  

SciTech Connect (OSTI)

The Standard for Electrical Safety in the Workplace, NFPA 70E, and relevant OSHA electrical safety standards evolved to address the hazards of 60-Hz power that are faced primarily by electricians, linemen, and others performing facility and utility work. This leaves a substantial gap in the management of electrical hazards in Research and Development (R&D) and specialized high voltage and high power equipment. Examples include lasers, accelerators, capacitor banks, electroplating systems, induction and dielectric heating systems, etc. Although all such systems are fed by 50/60 Hz alternating current (ac) power, we find substantial use of direct current (dc) electrical energy, and the use of capacitors, inductors, batteries, and radiofrequency (RF) power. The electrical hazards of these forms of electricity and their systems are different than for 50160 Hz power. Over the past 10 years there has been an effort to develop a method of classifying all of the electrical hazards found in all types of R&D and utilization equipment. Examples of the variation of these hazards from NFPA 70E include (a) high voltage can be harmless, if the available current is sufficiently low, (b) low voltage can be harmful if the available current/power is high, (c) high voltage capacitor hazards are unique and include severe reflex action, affects on the heart, and tissue damage, and (d) arc flash hazard analysis for dc and capacitor systems are not provided in existing standards. This work has led to a comprehensive electrical hazard classification system that is based on various research conducted over the past 100 years, on analysis of such systems in R&D, and on decades of experience. Initially, national electrical safety codes required the qualified worker only to know the source voltage to determine the shock hazard. Later, as arc flash hazards were understood, the fault current and clearing time were needed. These items are still insufficient to fully characterize all types of electrical hazards. The new comprehensive electrical hazard classification system uses a combination of voltage, shock current available, fault current available, power, energy, and waveform to classify all forms of electrical hazards. Based on this electrical hazard classification system, many new tools have been developed, including (a) work controls for these hazards, (b) better selection of PPE for R&D work, (c) improved training, and (d) a new Severity Ranking Tool that is used to rank electrical accidents and incidents with various forms of electrical energy.

Gordon, Lloyd B [Los Alamos National Laboratory; Cartelli, Laura [Los Alamos National Laboratory

2009-01-01T23:59:59.000Z

58

Hyperspectral Data Classification Using Spectral-Spatial Approaches  

E-Print Network [OSTI]

Hyperspectral Data Classification Using Spectral-Spatial Approaches Yuliya Tarabalka1 , Jón Atli classification problem AVIRIS image Spatial resolution: 20m/pix Spectral resolution: 200 bands Ground-truth data.tarabalka@nasa.gov) Spectral-Spatial Classification of Hyperspectral Data 6 #12;Introduction Classification using segmentation

Dobigeon, Nicolas

59

University Policy No.: AD2215 Classification: Administration  

E-Print Network [OSTI]

University Policy No.: AD2215 Classification: Administration Approving Authority: Board of Governors LICENSING PROGRAM POLICY Effective Date: June/90 Supersedes: Last Editorial Change: Mandated Review: 1. This statement applies to the policies and administration of trademarks registered

Victoria, University of

60

University Policy No.: AD2210 Classification: Administration  

E-Print Network [OSTI]

University Policy No.: AD2210 Classification: Administration FIELDWORK AND INTERNATIONAL Approving Authority: President TRAVEL RISK MANAGEMENT POLICY Effective Date: November/07 Supersedes: New Last Editorial Change: Mandated Review: November/14 Purpose 1. The purpose of the policy

Victoria, University of

Note: This page contains sample records for the topic "understood sanyal classification" 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

Genetic classification of petroleum systems  

SciTech Connect (OSTI)

The authors genetic classification of petroleum basins is founded on a working nomenclature that consists of combining qualifiers from each of the following three categories: (1) the charge factor (supercharged, normally charged, or undercharged), (2) the migration drainage style (vertically drained or laterally drained), and (3) the entrapment style (high impedance or low impedance). The charge factor is estimated on the basis of the richness and volumetrics of mature source rocks. The source potential index (SPI), which combines source-rock richness and thickness into a single parameter, is a convenient shortcut for comparing the petroleum potential of different source rocks containing dissimilar kerogen types and for rapidly estimating a basin's regional charging capacity. On a global scale, a general correlation exists between the magnitude of SPI and basinwide petroleum reserves. The dominant migration drainage style can be predicted from the structural and stratigraphic framework of a basin. Recognition of the dominant migration style helps to predict the location of zones of petroleum occurrence in relation to the 'hydrocarbon kitchens.' The entrapment style, which is also dependent on the structural framework and the presence of seals, describes the degree of resistance (i.e. impedance) working against dispersion of the petroleum charge. Application of these working concepts should help significantly reduce geologic risk, particularly in new ventures-type exploration.

Huizinga, B.J. (Chevron Oil Field Research Co., Richmond, CA (United States)); Demaison, G.

1991-03-01T23:59:59.000Z

62

Genetic classification of petroleum systems  

SciTech Connect (OSTI)

The authors classification so petroleum systems is founded on a simple working nomenclature that consists of combining qualifiers from each of the following three categories: (1) charge factor, (2) migration drainage style, and (3) entrapment style. The charge factor is estimated on the basis of the richness and volumetrics of mature source rocks. The source potential index (SPI), which combines source-rock richness and thickness into a single parameter, is a convenient shortcut for comparing the petroleum potential of diverse source rocks containing dissimilar kerogen types and for rapidly estimating regional charging capacity. The migration drainage style is determined from the structural and stratigraphic framework of a basin. Vertical-migration drainage, which occurs mainly through faults and fracture systems breaching a seal, is characteristic of petroleum systems contained within rift basins, deltaic sequences, salt-dome provinces, wrench basins, and fold-and-thrust belts. In contrast, lateral-migration drainage sequences, salt-dome provinces, wrench basins, and fold-and-thrust belts. In contrast, lateral-migration drainage is dominant wherever stratigraphically continuous seal-reservoir doublets extend over a very large area in tectonically stable province. The entrapment style, which is also dependent on the structural framework and the presence and effectiveness of seals, describes the degree of resistance working against dispersion of the petroleum charge. Application of these working concepts should help to significantly reduce geologic risk, particularly in news ventures-type exploration.

Demaison, G. (Stanford Univ., CA (United States)); Huizinga, B.J. (Chevron Overseas Petroleum Inc., San Ramon, CA (United States))

1991-10-01T23:59:59.000Z

63

Kelly. Segmentation and Classification of HTML Documents SEGMENTATION AND CLASSIFICATION OF HTML DOCUMENTS  

E-Print Network [OSTI]

Kelly. Segmentation and Classification of HTML Documents SEGMENTATION AND CLASSIFICATION OF HTML DOCUMENTS FOR DISPLAY ON SMALL SCREEN DEVICES Peter M. Kelly 1 1 School of Computer Science, The University of the Second Australian Undergraduate Students' Computing Conference, 2004 page 97 #12;Kelly. Segmentation

Rubinstein, Benjamin

64

Classification of Carbide Distributions using ScaleSpace Methods Classification of Carbide Distributions using Scale  

E-Print Network [OSTI]

Classification of Carbide Distributions using Scale­Space Methods #12; Classification of Carbide­structure of the steel, which in turn influences the mechanical properties. Specifi­ cally, the distribution of carbide is essential, since cracks propagate within the carbide agglomerations. In current quality control

Lindeberg, Tony

65

A Dynamical Classification of the Cosmic Web  

E-Print Network [OSTI]

A dynamical classification of the cosmic web is proposed. The large scale environment is classified into four web types: voids, sheets, filaments and knots. The classification is based on the evaluation of the deformation tensor, i.e. the Hessian of the gravitational potential, on a grid. The classification is based on counting the number of eigenvalues above a certain threshold, lambda_th at each grid point, where the case of zero, one, two or three such eigenvalues corresponds to void, sheet, filament or a knot grid point. The collection of neighboring grid points, friends-of-friends, of the same web attribute constitutes voids, sheets, filaments and knots as web objects. A simple dynamical consideration suggests that lambda_th should be approximately unity, upon an appropriate scaling of the deformation tensor. The algorithm has been applied and tested against a suite of (dark matter only) cosmological N-body simulations. In particular, the dependence of the volume and mass filling fractions on lambda_th and on the resolution has been calculated for the four web types. Also, the percolation properties of voids and filaments have been studied. Our main findings are: (a) Already at lambda_th = 0.1 the resulting web classification reproduces the visual impression of the cosmic web. (b) Between 0.2 web. (c) The dynamical nature of the suggested classification provides a robust framework for incorporating environmental information into galaxy formation models, and in particular the semi-analytical ones.

J. E. Forero-Romero; Y. Hoffman; S. Gottloeber; A. Klypin; G. Yepes

2008-09-24T23:59:59.000Z

66

The Classification of M1-78  

E-Print Network [OSTI]

The published properties of M1-78 are discussed with the purpose to resolve the object's classification as either a planetary nebula or an ultracompact HII region. A classification as a planetary nebula is rejected primarily because of the high luminosity of the object, but because of the chemical composition and expansion velocity of the nebula, a novel classification is proposed instead: that of an ultracompact HII region with a post-main sequence central star (possibly a WN star). It must therefore follow that observable ultracompact HII regions persist beyond the main sequence lifetimes of at least some massive stars, and so cannot be transient phenomena that are seen only during pre-main sequence or early main sequence evolution.

G. T. Gussie

1994-09-15T23:59:59.000Z

67

Visual classification of co-verbal gestures for gesture understanding  

E-Print Network [OSTI]

A person's communicative intent can be better understood by either a human or a machine if the person's gestures are understood. This thesis project demonstrates an expansion of both the range of co-verbal gestures a machine ...

Campbell, Lee Winston

2001-01-01T23:59:59.000Z

68

Classification and Feature Extraction in Man and Machine  

E-Print Network [OSTI]

Classification and Feature Extraction in Man and Machine Dissertation zur Erlangung des Grades stimuli and for their subsequent classification. A methodology combining human psychophysics and machine learning is introduced, where feature extractors are modeled using methods from unsupervised machine

69

Environmental and Pollution Spatial Data Classification with Support Vector Machines  

E-Print Network [OSTI]

Environmental and Pollution Spatial Data Classification with Support Vector Machines and pollution spatial data analysis and modeling. The main attention is paid to classification of spatially. Introduction Environmental and pollution data are usually spatially distributed and time dependent. At present

Gilardi, Nicolas

70

Automatic Fish Classification for Underwater Species Behavior Understanding  

E-Print Network [OSTI]

Automatic Fish Classification for Underwater Species Behavior Understanding Concetto Spampinato an automatic fish classi- fication system that operates in the natural underwater en- vironment to assist marine biologists in understanding fish behavior. Fish classification is performed by combining two types

Fisher, Bob

71

A framework for a coarse aggregate classification system  

E-Print Network [OSTI]

System 1 . 4 . . 5 . . 6 II OVERVIEW OF EXISTING CLASSIFICATION SYSTEMS . . . . 8 8 14 Soil Classification Systems Rock Classification Systems Previous Efforts in Developing an Aggregate Classification System... for Rocks . . 19 3. 1 Characterization of Aggregate Shape Based on Form Factor Proposed by Folk . . . . . . . . . . . . . . . 40 3. 2 Four Shape Categories as Described by Zingg . . 41 3. 3 Surface Texture Characterization Proposed by Kummer . . 42 4. 1...

Peapully, Srikrishna

1994-01-01T23:59:59.000Z

72

A Note on ďMultistage Methods for Freight Train ClassificationĒ  

E-Print Network [OSTI]

Freight Train ClassificationĒ. Dirk Briskorn. 1. , Florian Jaehn. 2,?. November, 2012. 1 Universitšt Siegen, Lehrstuhl fŁr Quantitative Planung, HŲlderlinstraŖe 3,

2012-11-21T23:59:59.000Z

73

EPR and Nonlocality: Understood in terms of Kuramoto Synchronisation  

E-Print Network [OSTI]

A new way of understanding the non local correlation effects observed in the 'Twin Photon' EPR experiment is presented. The theory is based on a vector version of the Kuramoto sychronisation for coupled non linear oscillators. EPR correlation is obtained without the use of superluminal signals. Bell's inequality is used to confirm that the local theory developed can still violate the inequality resolving the non local nature of the correlation.

Antony Tambyrajah

2014-10-19T23:59:59.000Z

74

Exchange coupling in metals as understood then and now  

SciTech Connect (OSTI)

The first US magnetism conference occurred in 1952 and featured an invited session on exchange coupling in metals with Zener, Slater, Wohlfarth and Van Vleck speaking. All were concerned with intra- and interatomic exchange with Zener discussing coupling via conduction electron polarization while Wohlfarth and Slater were preoccupied with itinerant ferromagnetism. Van Vleck verbalized the Hubbard Hamiltonian (prior to its derivation). That meeting may be viewed as the ultimate discussion of magnetism prior to modern day computation and many of the ideas expressed there underlie our computational activities today. Solutions of the Hubbard Hamiltonian and electronic structure calculations, as applied to magnetism, come to mind. We will concentrate on the latter here, since solving the Hubbard Hamiltonian will be of great concern elsewhere in this meeting, and we will attempt to juxtapose current findings with some of the thoughts of that pioneering meeting. 30 refs., 5 figs.

Watson, R.E. (Brookhaven National Lab., Upton, NY (USA))

1989-01-01T23:59:59.000Z

75

COMPARISON OF KERNELBASED MODELS FOR BINARY CLASSIFICATION OF ENVIRONMENTAL DATA  

E-Print Network [OSTI]

1 COMPARISON OF KERNEL­BASED MODELS FOR BINARY CLASSIFICATION OF ENVIRONMENTAL DATA V. Polishchuk ABSTRACT The task of real­world environmental data classification was approached with different models simulation -- which arise in environmental modeling, classification between two classes may be considered

76

BAYESIAN INFERENCE AND OPTIMIZATION STRATEGIES FOR SOME DETECTION AND CLASSIFICATION  

E-Print Network [OSTI]

energy function to be minimized. These segmentation and classification schemes can be used separatelyBAYESIAN INFERENCE AND OPTIMIZATION STRATEGIES FOR SOME DETECTION AND CLASSIFICATION PROBLEMS and classification problems of great importance in sonar imagery. More precisely this paper is concerned

Mignotte, Max

77

Competitive Mixture of Deformable Models for Pattern Classification \\Lambda  

E-Print Network [OSTI]

Competitive Mixture of Deformable Models for Pattern Classification \\Lambda Kwok­Wai Cheung Dit to pattern classification. Recently, we have cast a deformable model under a Bayesian framework for classification, giving promising results. However, deformable model methods are computation­ ally expensive due

Yeung, Dit-Yan

78

Distance Metric Learning for Large Margin Nearest Neighbor Classification  

E-Print Network [OSTI]

Distance Metric Learning for Large Margin Nearest Neighbor Classification Kilian Q. Weinberger}@cis.upenn.edu Abstract We show how to learn a Mahanalobis distance metric for k-nearest neigh- bor (kNN) classification in kNN classification--for example, achieving a test error rate of 1.3% on the MNIST handwritten digits

Weinberger, Kilian

79

TEXTURE CLASSIFICATION USING DISCRIMINANT WAVELET PACKET SUBBANDS Nasir Rajpoot  

E-Print Network [OSTI]

TEXTURE CLASSIFICATION USING DISCRIMINANT WAVELET PACKET SUBBANDS Nasir Rajpoot Department decomposition that are most useful for texture classification in an image. A functional measure based]. The classification of image data into different classes of texture is a challenging problem in image analysis [2

Rajpoot, Nasir

80

Biomedical Image Classification with Random Subwindows and Decision Trees  

E-Print Network [OSTI]

Biomedical Image Classification with Random Subwindows and Decision Trees Rapha¬®el Mar¬īee, Pierre a problem of biomedical image classification that involves the automatic classification of x-ray images in terms of subwindow relevance. 1 Introduction International Workshop on Computer Vision for Biomedical

Wehenkel, Louis

Note: This page contains sample records for the topic "understood sanyal classification" 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

BROWNIAN MOTION INDEXED BY A TIME SCALE DAVID GROW AND SUMAN SANYAL  

E-Print Network [OSTI]

on the proba- bility space (C0[0, ), P) and the increments Wti - Wti-1 are normally distributed with mean zero

Sanyal, Suman

82

AUTOTUNE E+ BUILDING ENERGY MODELS Joshua New, Jibonananda Sanyal, Mahabir Bhandari, and Som Shrestha  

E-Print Network [OSTI]

EnergyPlus (E+) simulations has been made publicly available. Autotune is currently being applied buildings sector. A central challenge in the domain of energy efficiency is being able to realistically of US Primary Energy Consumption (U.S. Dept. of Energy, 2010) and Production (U.S. EIA, 2009). et al

Wang, Xiaorui "Ray"

83

Supercomputer Assisted Generation of Machine Learning Agents Jibonananda Sanyal, Joshua New, and Richard Edwards  

E-Print Network [OSTI]

) with buildings consuming 74% of all electricity and 34% of all natural gas produced. The Department of Energy as an important tool in determining your energy footprint, designing energy-efficient buildings, or optimizing's Building Technologies Office has a significant stake in improving the energy footprint and efficiency

Wang, Xiaorui "Ray"

84

Geothermal Literature Review At General Us Region (Sanyal, Et Al., 2004) |  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation, searchGeauga County,Information(EC-LEDS)Et Al., 1996)Al.,

85

University Policy No.: GV0225 Classification: Governance  

E-Print Network [OSTI]

University Policy No.: GV0225 Classification: Governance Approving Authority: Board of Governors RISK MANAGEMENT POLICY Effective Date: March/07 Supersedes: April/04 Last Editorial Change: Mandated Review: Purpose 1.00 The main purpose of this policy is to provide direction to the members

Victoria, University of

86

University Policy No.: GV0215 Classification: Governance  

E-Print Network [OSTI]

University Policy No.: GV0215 Classification: Governance POLICY ON INTELLECTUAL Approving Authority Review: This policy now forms part of the Faculty Framework Agreement as Appendix D APPLICATION This policy applies to intellectual property (IP) created by members of the University in their University

Victoria, University of

87

University Policy No.: RH8100 Classification: Research  

E-Print Network [OSTI]

1 University Policy No.: RH8100 Classification: Research Approving Authority: Board of Governors RESEARCH POLICY Effective Date: January 2010 Supersedes: June 2002 Last Editorial Change: Mandated Review: January 2017 PURPOSE 1.00 The purpose of this policy is to set out the manner in which research

Victoria, University of

88

University Policy No.: AD2300 Classification: Administration  

E-Print Network [OSTI]

University Policy No.: AD2300 Classification: Administration Approving Authority: President FLAG DISPLAY POLICY Effective Date: March/08 Supersedes: June/99 Last Editorial Change: Mandated Review: March/15 PURPOSE 1.00 The purpose of this policy is to provide guidance on the display of flags

Victoria, University of

89

University Policy No.: GV0230 Classification: Governance  

E-Print Network [OSTI]

University Policy No.: GV0230 Classification: Governance POLICY ON AUDITOR INDEPENDENCE: Approving AND OTHER NON- Supersedes: May/05 AUDIT SERVICES Last Editorial Change: Mandated Review: 1. POLICY PURPOSE The main purpose of this policy is to ensure procurement of audit, tax and other non- audit services does

Victoria, University of

90

University Policy No.: GV0200 Classification: Governance  

E-Print Network [OSTI]

University Policy No.: GV0200 Classification: Governance POLICY ON HUMAN RIGHTS, EQUITY Approving: Mandated Review: 1. POLICY PURPOSE The University of Victoria's vision is to be a university of choice an active commitment to human rights, equity, fairness, and enhanced diversity. This policy responds

Victoria, University of

91

Discriminant Absorption Feature Learning for Material Classification  

E-Print Network [OSTI]

1 Discriminant Absorption Feature Learning for Material Classification Zhouyu Fu, Antonio Robles in spectral imaging by combining the use of invariant spectral absorption features and statistical machine learning techniques. Our method hinges in the relevance of spectral absorption features for material

Robles-Kelly, Antonio

92

University Policy No.: AD2200 Classification: Administration  

E-Print Network [OSTI]

University Policy No.: AD2200 Classification: Administration GUIDELINES FOR PARTICIPATION the critical issues underlying a decision to approve or not approve an international project or program. All in International Education and the University ethical policies (e.g. Harassment, Equity, Scholarly

Victoria, University of

93

University Policy No.: GV0660 Classification: Governance  

E-Print Network [OSTI]

University Policy No.: GV0660 Classification: Governance STATEMENT OF POLICY Approving Authority be appointed for her or his intellectual and administrative abilities, devotion to education and research and assessment within the Faculty or Division, including the development of curriculum, programs and plans

Victoria, University of

94

University Policy No.: GV0710 Classification: Governance  

E-Print Network [OSTI]

University Policy No.: GV0710 Classification: Governance POLICY ON CHAIRS OF Approving Authority on the basis of intellectual and administrative abilities; devotion to education, teaching and research; judgment and qualities of leadership. In a professional program, the Chair may be expected to hold

Victoria, University of

95

BLINC: Multilevel Traffic Classification in the Dark  

E-Print Network [OSTI]

the dark" ­ No port numbers ­ No payload web streaming P2P #12;3 The problem of workload characterizationBLINC: Multilevel Traffic Classification in the Dark Thomas Karagiannis, UC Riverside Konstantina ­ Why in the dark? · Traffic profiling based on TCP/UDP ports ­ Misleading · Payload

Rajamani, Sriram K.

96

HEGIS CLASSIFICATIONS (THIS DOCUMENT IS KEYWORD SEARCHABLE  

E-Print Network [OSTI]

HEGIS CLASSIFICATIONS (THIS DOCUMENT IS KEYWORD SEARCHABLE USING THE "FIND" TOOL IN YOUR ADOBE, research projects, etc. having to do with the production of food and management of natural fiber, plant, forest, and wildlife resources. 0101 Agriculture, general 0102 Agronomy (field crops, crop management

Segraves, Kari A.

97

Common occupational classification system - revision 3  

SciTech Connect (OSTI)

Workforce planning has become an increasing concern within the DOE community as the Office of Environmental Restoration and Waste Management (ER/WM or EM) seeks to consolidate and refocus its activities and the Office of Defense Programs (DP) closes production sites. Attempts to manage the growth and skills mix of the EM workforce while retaining the critical skills of the DP workforce have been difficult due to the lack of a consistent set of occupational titles and definitions across the complex. Two reasons for this difficulty may be cited. First, classification systems commonly used in industry often fail to cover in sufficient depth the unique demands of DOE`s nuclear energy and research community. Second, the government practice of contracting the operation of government facilities to the private sector has introduced numerous contractor-specific classification schemes to the DOE complex. As a result, sites/contractors report their workforce needs using unique classification systems. It becomes difficult, therefore, to roll these data up to the national level necessary to support strategic planning and analysis. The Common Occupational Classification System (COCS) is designed to overcome these workforce planning barriers. The COCS is based on earlier workforce planning activities and the input of technical, workforce planning, and human resource managers from across the DOE complex. It provides a set of mutually-exclusive occupation titles and definitions that cover the broad range of activities present in the DOE complex. The COCS is not a required record-keeping or data management guide. Neither is it intended to replace contractor/DOE-specific classification systems. Instead, the system provides a consistent, high- level, functional structure of occupations to which contractors can crosswalk (map) their job titles.

Stahlman, E.J.; Lewis, R.E.

1996-05-01T23:59:59.000Z

98

accurate molecular classification: Topics by E-print Network  

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

dynamic range selection Fernandez, Thomas 124 Proc. 12 International Conference on Pattern Recognition, Jerusalem, Israel, 1994, 467-469. A Two-Level Classification Scheme...

99

North American Industry Classification System (NAICS) Search Tool  

Broader source: Energy.gov [DOE]

The North American Industry Classification System (NAICS) is the standard used by Federal statistical agencies in classifying business establishments for the purpose of collecting, analyzing, and...

100

ON THE CLASSIFICATION OF NUCLEAR C-ALGEBRAS  

E-Print Network [OSTI]

allow us to reprove, from a handful of basic results, the classification of purely infinite nuclear C?-algebras of Kirchberg and Phillips. Received 1 October 1999;

2002-05-28T23:59:59.000Z

Note: This page contains sample records for the topic "understood sanyal classification" 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

Turbulence, orbit equivalence, and the classification of nuclear C  

E-Print Network [OSTI]

We bound the Borel cardinality of the isomorphism relation for nuclear ... These results depend intimately on the classification theory of nuclear simple C?-†...

2012-04-24T23:59:59.000Z

102

A Note on ďMultistage Methods for Freight Train ClassificationĒ  

E-Print Network [OSTI]

Nov 21, 2012 ... Abstract: The paper ďMultistage Methods for Freight Train ClassificationĒ by Jacob et al. ([2]) provides a great insight to the theory and practice†...

Dirk Briskorn

2012-11-21T23:59:59.000Z

103

automatic document classification: Topics by E-print Network  

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

Page Last Page Topic Index 1 Automatic construction of a concept hierarchy to assist Web document classification Woo Chul Cho Computer Technologies and Information Sciences...

104

Classification of multifluid CP world models  

E-Print Network [OSTI]

Various classification schemes exist for homogeneous and isotropic (CP) world models, which include pressureless matter (so-called dust) and Einstein's cosmological constant Lambda. We here classify the solutions of more general world models consisting of up to four non-interacting fluids, each with pressure P, energy density epsilon and an equation of state P = (gamma - 1) epsilon with 0 0) tends to yield the smoothest fits of the Supernova Ia data from Perlmutter et al. (1999). Adopting the SN Ia constraints, exotic negative energy density components can be fittingly included only if the universe consists of four or more fluids.

Jens Thomas; Hartmut Schulz

2000-12-20T23:59:59.000Z

105

Classification of oxide glasses: A polarizability approach  

SciTech Connect (OSTI)

A classification of binary oxide glasses has been proposed taking into account the values obtained on their refractive index-based oxide ion polarizability {alpha}{sub O2-}(n{sub 0}), optical basicity {lambda}(n{sub 0}), metallization criterion M(n{sub 0}), interaction parameter A(n{sub 0}), and ion's effective charges as well as O1s and metal binding energies determined by XPS. Four groups of oxide glasses have been established: glasses formed by two glass-forming acidic oxides; glasses formed by glass-forming acidic oxide and modifier's basic oxide; glasses formed by glass-forming acidic and conditional glass-forming basic oxide; glasses formed by two basic oxides. The role of electronic ion polarizability in chemical bonding of oxide glasses has been also estimated. Good agreement has been found with the previous results concerning classification of simple oxides. The results obtained probably provide good basis for prediction of type of bonding in oxide glasses on the basis of refractive index as well as for prediction of new nonlinear optical materials.

Dimitrov, Vesselin [Department of Silicate Technology, University of Chemical Technology and Metallurgy, 8 Kl. Ohridski Blvd., Sofia 1756 (Bulgaria); Komatsu, Takayuki [Department of Chemistry, The Nagaoka University of Technology, 1603-1 Kamitomioka-cho, Nagaoka-shi, Niigata-ken 940-2188 (Japan)]. E-mail: komatsu@chem.nagaokaut.ac.jp

2005-03-15T23:59:59.000Z

106

A classification scheme for LWR fuel assemblies  

SciTech Connect (OSTI)

With over 100 light water nuclear reactors operating nationwide, representing designs by four primary vendors, and with reload fuel manufactured by these vendors and additional suppliers, a wide variety of fuel assembly types are in existence. At Oak Ridge National Laboratory, both the Systems Integration Program and the Characteristics Data Base project required a classification scheme for these fuels. This scheme can be applied to other areas and is expected to be of value to many Office of Civilian Radioactive Waste Management programs. To develop the classification scheme, extensive information on the fuel assemblies that have been and are being manufactured by the various nuclear fuel vendors was compiled, reviewed, and evaluated. It was determined that it is possible to characterize assemblies in a systematic manner, using a combination of physical factors. A two-stage scheme was developed consisting of 79 assembly types, which are grouped into 22 assembly classes. The assembly classes are determined by the general design of the reactor cores in which the assemblies are, or were, used. The general BWR and PWR classes are divided differently but both are based on reactor core configuration. 2 refs., 15 tabs.

Moore, R.S.; Williamson, D.A.; Notz, K.J.

1988-11-01T23:59:59.000Z

107

Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification  

E-Print Network [OSTI]

Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification of Shadow original statistical classification method using a deformable template model separate natural objects man template, along admissible linear transformations, to take account shape variability. classification

Mignotte, Max

108

University Policy No.: FM5205 Classification: Financial Management  

E-Print Network [OSTI]

resources of the University. 2. CLASSIFICATION OF CAPITAL EXPENDITURES 2.1 Building Projects - Capital or room; 3.3.5 equipment and furniture requirements for the project; 3.3.6 an estimated project cost basedUniversity Policy No.: FM5205 Classification: Financial Management CAPITAL EXPENDITURES

Victoria, University of

109

Automatic Tissue Classification for the Human Head from Multispectral MRI  

E-Print Network [OSTI]

1 Automatic Tissue Classification for the Human Head from Multispectral MRI Tolga Tasdizen, David for classifying multispectral MR scans of the human head into nine tissue classes. User initialization is adopted. #12;Chapter 1 Introduction Classification of head magnetic resonance imaging (MRI) data

Utah, University of

110

Support Vector Learning for Fuzzy Rule-Based Classification Systems  

E-Print Network [OSTI]

. As a powerful machine learning approach for pattern recognition problems, support vector machine (SVM) is known1 Support Vector Learning for Fuzzy Rule-Based Classification Systems Yixin Chen, Student Member DRAFT #12;2 Abstract To design a fuzzy rule-based classification system (fuzzy classifier) with good

Chen, Yixin

111

SEMI-AUTOMATIC WEB SERVICE GENERATION AND CLASSIFICATION  

E-Print Network [OSTI]

SEMI-AUTOMATIC WEB SERVICE GENERATION AND CLASSIFICATION Automated assistance to the web service of semantic web techniques with web service technologies has enabled the emergence of so-called semantic web and classification of web services. Key words: semantic web services; web service generation; web service

112

Random Forest Classification for Training a Brain Computer Interface (BCI)  

E-Print Network [OSTI]

Random Forest Classification for Training a Brain Computer Interface (BCI) Abstract1 Brain brain activity. Most3 existing BCIs detect specific mental activity in a so-called synchronous4 paradigm extraction7 followed by a classification scheme to detect intentions from the brain8 signal. In this paper

de Freitas, Nando

113

Business Plans Classification with Locally Pruned Lazy Learning Models  

E-Print Network [OSTI]

1 Business Plans Classification with Locally Pruned Lazy Learning Models Antti Sorjamaa1 , Amaury linéaire par morceaux connue sous le nom de Locally Pruned Lazy Learning Model. Mots clefs : Lazy Learning, Classification, Leave-one-Out, Elagage. Abstract : A business plan is a document presenting in a concise form

Verleysen, Michel

114

A Unified Framework for MR Based Disease Classification  

E-Print Network [OSTI]

A Unified Framework for MR Based Disease Classification Kilian M. Pohl1,2 and Mert R. Sabuncu2 1-hippocampal gyrus. On this small size data set, our approach, which performs classification based on the MR images with the accuracy achieved by state-of-the-art techniques in schizophrenia MRI research. 1 Introduction Thanks to in

Pohl, Kilian M.

115

MARS TERRAIN IMAGE CLASSIFICATION USING CARTESIAN GENETIC PROGRAMMING  

E-Print Network [OSTI]

MARS TERRAIN IMAGE CLASSIFICATION USING CARTESIAN GENETIC PROGRAMMING J. Leitner, S. Harding, A. F to human designed approaches, a great deal of progress has been made using machine learning techniques to perform classification from images. In this work, we demonstrate the first known use of Cartesian Genetic

Fernandez, Thomas

116

Multistage Methods for Freight Train Classification Riko Jacob1  

E-Print Network [OSTI]

Multistage Methods for Freight Train Classification Riko Jacob1 , Peter M¬īarton2 , Jens Maue3 , and Marc Nunkesser3 1 Computer Science Department, TU M¬®unchen, Germany jacob@in.tum.de 2 Faculty, train classification 1 Introduction In real-world railways, a freight train consists of an engine

Riko Jacob

117

University Policy No.: HR6315 Classification: Human Resources  

E-Print Network [OSTI]

the classification, the duties and responsibilities of the position, the education and experience requiredUniversity Policy No.: HR6315 Classification: Human Resources SPECIALIST/INSTRUCTIONAL Approving in a program on a full-time basis) will normally be limited to a maximum of fourteen hours of work each week

Victoria, University of

118

Compressive Video Classification for Decision Systems with Limited Resources  

E-Print Network [OSTI]

by the introduction of efficient computational models is video classification. With the advent of digital TVCompressive Video Classification for Decision Systems with Limited Resources George Tzagkarakis, Pavlos Charalampidis, Grigorios Tsagkatakis, Jean-Luc Starck, and Panagiotis Tsakalides Commissariat `a l'¬īEnergie

Tsakalides, Panagiotis

119

Multivariate classification of infrared spectra of cell and tissue samples  

DOE Patents [OSTI]

Multivariate classification techniques are applied to spectra from cell and tissue samples irradiated with infrared radiation to determine if the samples are normal or abnormal (cancerous). Mid and near infrared radiation can be used for in vivo and in vitro classifications using at least different wavelengths.

Haaland, David M. (Albuquerque, NM); Jones, Howland D. T. (Albuquerque, NM); Thomas, Edward V. (Albuquerque, NM)

1997-01-01T23:59:59.000Z

120

A Classification of Riparian Wetland Plant Associations of Colorado  

E-Print Network [OSTI]

A Classification of Riparian Wetland Plant Associations of Colorado A Users Guide: Colorado Natural Heritage Program 254 General Services Bldg. Colorado State University Fort Collins, CO of Riparian Wetland Plant Associations of Colorado: User Guide to the Classification Project. Colorado Natural

Note: This page contains sample records for the topic "understood sanyal classification" 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

Program Transformation Mechanics A Classification of Mechanisms for Program Transformation  

E-Print Network [OSTI]

Program Transformation Mechanics A Classification of Mechanisms for Program Transformation with a Survey of Existing Transformation Systems Jonne van Wijngaarden Eelco Visser UU-CS-2003-048 Institute Transformation Mechanics A Classification of Mechanisms for Program Transformation with a Survey of Existing

Utrecht, Universiteit

122

ECG beats classification using waveform similarity and RR interval  

E-Print Network [OSTI]

1 ECG beats classification using waveform similarity and RR interval Ahmad Khoureich Ka Abstract--This paper present an electrocardiogram (ECG) beat classification method based on waveform similarity and RR. Heart beats of 128 samples data centered on the R peak are extracted from the ECG signal and thence

Boyer, Edmond

123

E-Print Network 3.0 - automated defect classification Sample...  

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

Search Sample search results for: automated defect classification Page: << < 1 2 3 4 5 > >> 1 ADC customization software module, Applied Materials, Summary: Classification...

124

E-Print Network 3.0 - achieved classification error Sample Search...  

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

classifier design, and error estimation, which together form a microarray classification pipeline... error rate, reflects how well the classification rule can approximate the...

125

Petrophysical rock classification in the Cotton Valley tight-gas sandstone reservoir with a clustering  

E-Print Network [OSTI]

Petrophysical rock classification in the Cotton Valley tight-gas sandstone reservoir classification method with field data acquired in the Cotton Valley tight-gas sandstone reservoir located

Torres-Verdín, Carlos

126

Examining the Validity of Classifications from an English Language Proficiency Assessment for English Language Learners and Native English Speakers in Fifth Grade  

E-Print Network [OSTI]

classification accuracy, but also the predictive ability of the classification for educational program

Carroll, Patricia Elaine

2012-01-01T23:59:59.000Z

127

Nonparametric Transient Classification using Adaptive Wavelets  

E-Print Network [OSTI]

Classifying transients based on multi band light curves is a challenging but crucial problem in the era of GAIA and LSST since the sheer volume of transients will make spectroscopic classification unfeasible. Here we present a nonparametric classifier that uses the transient's light curve measurements to predict its class given training data. It implements two novel components: the first is the use of the BAGIDIS wavelet methodology - a characterization of functional data using hierarchical wavelet coefficients. The second novelty is the introduction of a ranked probability classifier on the wavelet coefficients that handles both the heteroscedasticity of the data in addition to the potential non-representativity of the training set. The ranked classifier is simple and quick to implement while a major advantage of the BAGIDIS wavelets is that they are translation invariant, hence they do not need the light curves to be aligned to extract features. Further, BAGIDIS is nonparametric so it can be used for blind ...

Varughese, Melvin M; Stephanou, Michael; Bassett, Bruce A

2015-01-01T23:59:59.000Z

128

Automated Stellar Spectral Classification and Parameterization for the Masses  

E-Print Network [OSTI]

Stellar spectroscopic classification has been successfully automated by a number of groups. Automated classification and parameterization work best when applied to a homogeneous data set, and thus these techniques primarily have been developed for and applied to large surveys. While most ongoing large spectroscopic surveys target extragalactic objects, many stellar spectra have been and will be obtained. We briefly summarize past work on automated classification and parameterization, with emphasis on the work done in our group. Accurate automated classification in the spectral type domain and parameterization in the temperature domain have been relatively easy. Automated parameterization in the metallicity domain, formally outside the MK system, has also been effective. Due to the subtle effects on the spectrum, automated classification in the luminosity domain has been somewhat more difficult, but still successful. In order to extend the use of automated techniques beyond a few surveys, we present our current efforts at building a web-based automated stellar spectroscopic classification and parameterization machine. Our proposed machinery would provide users with MK classifications as well as the astrophysical parameters of effective temperature, surface gravity, mean abundance, abundance anomalies, and microturbulence.

Ted von Hippel; Carlos Allende Prieto; Chris Sneden

2002-08-08T23:59:59.000Z

129

Using QA classification to guide design and manage risk  

SciTech Connect (OSTI)

Raytheon Services Nevada has developed a classification process based on probabilistic risk assessment, using accident/impact scenarios for each system classified. Initial classification analyses were performed for the 20 systems of Package IA of the Exploratory Studies Facility (ESF). The analyses demonstrated a solid, defensible methodological basis for classification which minimizes the use of direct engineering judgment. They provide guidance for ESF design and risk management through the identification of: The critical characteristics of each system that need to be controlled; and the parts of the information base that most need to be further developed through performance assessment or other efforts.

Lathrop, J. [Strategic Insights, Los Altos, CA (United States); DeKlever, R. [Raytheon Services Nevada, Las Vegas, NV (United States); Petrie, E.H. [USDOE Nevada Field Office, Las Vegas, NV (United States)

1993-01-28T23:59:59.000Z

130

Using QA classification to guide design and manage risk  

SciTech Connect (OSTI)

Raytheon Services Nevada has developed a classification process based on probabilistic risk assessment, using accident/impact scenarios for each system classified. Initial classification analyses were performed for the 20 systems of Package 1A of the Exploratory Studies Facility (ESF). The analyses demonstrated a solid, defensible methodological basis for classification which minimizes the use of direct engineering judgment. They provide guidance for ESF design and risk management through the identification of: the critical characteristics of each system that need to be controlled; and the parts of the information base that most need to be further developed through performance assessment or other efforts.

Lathrop, J. [Strategic Insights, Los Altos, CA (United States); DeKlever, R. [Raytheon Services Nevada, Las Vegas, NV (United States); Petrie, E.H. [DOE, Las Vegas, NV (United States)

1993-12-31T23:59:59.000Z

131

CLASSIFICATION USING EFFICIENT LU DECOMPOSITION IN Zille Huma Kamal, Ajay Gupta, Leszek Lilien,  

E-Print Network [OSTI]

1 CLASSIFICATION USING EFFICIENT LU DECOMPOSITION IN SENSORNETS Zille Huma Kamal, Ajay Gupta of sensornet nodes will be consuming energy to identify the category (classification) that relates to the event applications, such as classification, need to be extremely energy-aware. The classification process is also

Gupta, Ajay

132

CLASSIFICATION AND REACTIVITY OF SECONDARY ALUMINUM PRODUCTION WASTE  

E-Print Network [OSTI]

aluminum30 production process emits seventeen (17) times less pollution to the atmosphere (see Table 1 in the ASCE Journal of Hazardous, Toxic, and Radioactive Waste November 8, 2012 #12;2 Classification

133

Machine learning for patient-adaptive ectopic beat classification  

E-Print Network [OSTI]

Physicians require automated techniques to accurately analyze the vast amount of physiological data collected by continuous monitoring devices. In this thesis, we consider one analysis task in particular, the classification ...

Wiens, Jenna Marleau

2010-01-01T23:59:59.000Z

134

Machine Learning and Rule-based Approaches to Assertion Classification  

E-Print Network [OSTI]

Objectives The authors study two approaches to assertion classification. One of these approaches, Extended NegEx (ENegEx), extends the rule-based NegEx algorithm to cover alter-association assertions; the other, Statistical ...

Uzuner, Ozlem

2009-01-01T23:59:59.000Z

135

ISpace: Interactive Volume Data Classification Techniques Using Independent Component Analysis  

E-Print Network [OSTI]

, multivariate data analysis, multimodality data, scientific visualization, seg- mentation, volume rendering 1ISpace: Interactive Volume Data Classification Techniques Using Independent Component Analysis, which uses Independent Component Analysis (ICA) and a multi- dimensional histogram of the volume data

Ma, Kwan-Liu

136

A PROPOSAL FOR THE PIRSF (PIR SUPERFAMILY) CLASSIFICATION SYSTEM  

E-Print Network [OSTI]

A PROPOSAL FOR THE PIRSF (PIR SUPERFAMILY) CLASSIFICATION SYSTEM May 30, 2003 Protein Information................................................................................. 4 D. PIR Superfamily Redefined domains might be present. PIR responded to this dilemma in 1993 by distinguishing two types

137

University Policy No.: AC1145 Classification: Academic and Students  

E-Print Network [OSTI]

and maintaining high quality programs of education and research, to ongoing improvement of those programsUniversity Policy No.: AC1145 Classification: Academic and Students Approving Authority: Senate ACADEMIC PROGRAM REVIEW Effective Date: October/04 Supersedes: November/85 Last Editorial

Victoria, University of

138

Toward a Classification Approach to Design Douglas R. Smith  

E-Print Network [OSTI]

Toward a Classification Approach to Design Douglas R. Smith Kestrel Institute, 3260 Hillview Avenue, Palo Alto, California 94304, USA smith@kestrel.edu 18 March 1996 Abstract. This paper addresses

Smith, Douglas R.

139

Multi-Class Classification with Maximum Margin Multiple Kernel  

E-Print Network [OSTI]

(named OBSCURE and UFO-MKL, respectively) are used to optimize primal versions of equivalent problems), the OBSCURE and UFO-MKL algorithms are compared against MCMKL #12;Multi-Class Classification with Maximum

Tomkins, Andrew

140

SUSTAINABILITY POLICY University Policy No: GV0800 (1794) Classification: Governance  

E-Print Network [OSTI]

SUSTAINABILITY POLICY University Policy No: GV0800 (1794) Classification: Governance Approving resources in a responsible manner, and work towards a sustainable future in cooperation with organizations to assist the University Community in incorporating Sustainability into decision making and provides

Victoria, University of

Note: This page contains sample records for the topic "understood sanyal classification" 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

Dynamic Bayesian networks for the classification of spinning discs  

E-Print Network [OSTI]

This thesis considers issues for the application of particle filters to a class of nonlinear filtering and classification problems. Specifically, we study a prototype system of spinning discs. The system combines linear ...

Schmidt, Aurora Clare, 1981-

2004-01-01T23:59:59.000Z

142

CLASSIFICATION OF QUADRATIC FORMS OVER SKEW FIELDS OF CHARACTERISTIC 2  

E-Print Network [OSTI]

CLASSIFICATION OF QUADRATIC FORMS OVER SKEW FIELDS OF CHARACTERISTIC 2 MOHAMED ABDOU ELOMARY groups." 1 #12;2 MOHAMED ABDOU ELOMARY AND JEAN-PIERRE TIGNOL Theorem A. Let F be a local or global field

143

CLASSIFICATION OF QUADRATIC FORMS OVER SKEW FIELDS OF CHARACTERISTIC 2  

E-Print Network [OSTI]

CLASSIFICATION OF QUADRATIC FORMS OVER SKEW FIELDS OF CHARACTERISTIC 2 MOHAMED ABDOU ELOMARY groups.'' 1 #12; 2 MOHAMED ABDOU ELOMARY AND JEAN­PIERRE TIGNOL Theorem A. Let F be a local or global

144

Biomedical Images Classification by Universal Nearest Neighbours Classifier  

E-Print Network [OSTI]

Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior scheme robust among different biomedical image datasets. To this aim, we compare unn performance paradigms. The results on one private and five public biomedical datasets show satisfactory performance. 1

Paris-Sud XI, Université de

145

Rank-based SLOCC classification for odd n qubits  

E-Print Network [OSTI]

We study the entanglement classification under stochastic local operations and classical communication (SLOCC) for odd n-qubit pure states. For this purpose, we introduce the rank with respect to qubit i for an odd n-qubit state. The ranks with respect to qubits 1,2,...,n give rise to the classification of the space of odd n qubits into 3^n families.

Xiangrong Li; Dafa Li

2011-06-21T23:59:59.000Z

146

An error correcting procedure for imperfect supervised, nonparametric classification  

E-Print Network [OSTI]

AN ERROR CORRECTING PROCEDJJRE FOR IMPERFECTI, Y SUPERVISED, NONPARAMETRIC CLASSIFICATION A Thesis by DENNIS RAY FERRELL Submitted to the Graduate College of Texas AAM University in partial fulfillment of the requirement for the degree...) (Head f Depart en ) (Member) (Member) PE y (Memb ei) (Member) August 1973 ABSTRACT An Error Correcting Procedure For Imperfectly Supervised, Nonparametric Classification (August 1973) Dennis Ray Ferrell, B. S. , I, omar University Directed by...

Ferrell, Dennis Ray

2012-06-07T23:59:59.000Z

147

Classification and waterfowl use of ponds in south Texas  

E-Print Network [OSTI]

LITERATURE REVIEW STUDY AREA 10 pond Formation 12 METHODS RESULTS 13 26 Pond Suruey Pond Classification Water Quality Vegetation Classification System Estuarine/intertidal/unconsolidated shore Lacustrine/limnetic/aquatic bed Lacustrine/litton'al/unconsolidated... bottom Lacustrine/littoral/aquatic bed Lacustrine/littoral/unconsolidated shore Lacustrine/limnetic s littoral/ aquatic bed Lacustrine/limnetic a littoral/ unconsolidated shore a uncon- solidated bottom 26 33 33 38 41 46 46 49 49 50 51...

McAdams, Matthew Stephen

2012-06-07T23:59:59.000Z

148

Topological classification of crystalline insulators with space group symmetry  

SciTech Connect (OSTI)

We show that in crystalline insulators, space group symmetry alone gives rise to a topological classification based on the discretization of electric polarization. Using C3 rotational symmetry as an example, we first prove that the polarization is discretized into three distinct classes, i.e., it can only take three inequivalent values. We then prove that these classes are topologically distinct. Therefore, a Z3 topological classification exists, with polarization as a topological class index. A concrete tight-binding model is derived to demonstrate the Z3 topological phase transition. Using first-principles calculations, we identify graphene on a BN substrate as a possible candidate to realize these Z3 topological states. To complete our analysis, we extend the classification of band structures to all 17 two-dimensional space groups. This work will contribute to a complete theory of symmetry-conserved topological phases and also elucidate topological properties of graphenelike systems.

Jadaun, Priyamvada [University of Texas at Austin; Xiao, Di [Carnegie Mellon University (CMU); Niu, Q. [University of Texas at Austin; Banerjee, Sanjay K. [University of Texas at Austin

2013-01-01T23:59:59.000Z

149

Classification of fossil fuels according to structural-chemical characteristics  

SciTech Connect (OSTI)

On the basis of a set of linear equations that relate the amount of major elements n{sub E} (E = C, H, O, N, S) in the organic matter of fossil fuels to structural characteristics, such as the number of cycles R, the number of atoms n{sub E}, the number of mutual chemical bonds, the degree of unsaturation of the structure {delta}, and the extent of its reduction B, a structural-chemical classification of fossil coals that is closely related to the parameters of the industrial-genetic classification (GOST 25543-88) is proposed. Structural-chemical classification diagrams are constructed for power-generating coals of Russia; coking coals; and coals designed for nonfuel purposes including the manufacture of adsorbents, synthetic liquid fuel, ion exchangers, thermal graphite, and carbon-graphite materials.

A.M. Gyul'maliev; G.S. Golovin; S.G. Gagarin [Institute for Fossil Fuels, Moscow (Russian Federation)

2007-10-15T23:59:59.000Z

150

Active Classification: Theory and Application to Underwater Inspection  

E-Print Network [OSTI]

We discuss the problem in which an autonomous vehicle must classify an object based on multiple views. We focus on the active classification setting, where the vehicle controls which views to select to best perform the classification. The problem is formulated as an extension to Bayesian active learning, and we show connections to recent theoretical guarantees in this area. We formally analyze the benefit of acting adaptively as new information becomes available. The analysis leads to a probabilistic algorithm for determining the best views to observe based on information theoretic costs. We validate our approach in two ways, both related to underwater inspection: 3D polyhedra recognition in synthetic depth maps and ship hull inspection with imaging sonar. These tasks encompass both the planning and recognition aspects of the active classification problem. The results demonstrate that actively planning for informative views can reduce the number of necessary views by up to 80% when compared to passive methods...

Hollinger, Geoffrey A; Sukhatme, Gaurav S

2011-01-01T23:59:59.000Z

151

Sugata Sanyal A tallish man in his 40's sitting on the little shadow of a makeshift  

E-Print Network [OSTI]

his weathered hand above his black dry eyes, used mainly to keep watch on goats, to examine whether. On asking, he explained that he is going to take another flight from Mumbai to Riyadh in Saudi Arabia

Sanyal, Sugata

152

Nonlinear Observer for 3D Rigid Body Motion Sergio Bras, Maziar Izadi, Carlos Silvestre, Amit Sanyal and Paulo Oliveira  

E-Print Network [OSTI]

has important applications to unmanned or manned vehicles operating in air, underwater, or in space the configuration and velocity states of a rigid body. Since most unmanned and manned vehicles can be accurately, underwater, and in space. In particular, such vehicles when operated in uncertain or poorly known

Instituto de Sistemas e Robotica

153

Finding minimum gene subsets with heuristic breadth-first search algorithm for robust tumor classification  

E-Print Network [OSTI]

Background: Previous studies on tumor classification based on gene expression profiles suggest that gene selection plays a key role in improving the classification performance. Moreover, finding important tumor-related ...

Wang, Shu-Lin; Li, Xue-Ling; Fang, Jianwen

2012-07-25T23:59:59.000Z

154

Classification concepts from object oriented software design applied to engineering design  

E-Print Network [OSTI]

classification charts, so as to make them more useful to both neophyte and experienced engineering designers. Engineering components have evolved from their basic forms into families of components and sub-components. Classification charts are often used...

Krishnamurthy, Ritesh

2002-01-01T23:59:59.000Z

155

E-Print Network 3.0 - automatic text classification Sample Search...  

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

Page: << < 1 2 3 4 5 > >> 1 Text classification Naive Bayes NB theory Evaluation of TC Web Search and Text Mining Summary: Text classification Naive Bayes NB theory Evaluation of...

156

Classification Data in Multi-Sensor Multi-Track Association C. M. Rogers  

E-Print Network [OSTI]

data at the hypothesis level, and that the difficulty in ascertaining classification similarity implies of tracks from non-cooperative targets, being observed by infra-red and radar sensors. Association, classification capability is defined. Each measurement is assigned a classification, which is inherited

Haddadi, Hamed

157

A NEW CLASS OF RAMSEY-CLASSIFICATION THEOREMS AND THEIR APPLICATIONS IN THE  

E-Print Network [OSTI]

A NEW CLASS OF RAMSEY-CLASSIFICATION THEOREMS AND THEIR APPLICATIONS IN THE TUKEY THEORY OF ULTRAFILTERS NATASHA DOBRINEN AND STEVO TODORCEVIC Abstract. Motivated by Tukey classification problems-classification theo- rems to completely classify all Rudin-Keisler equivalence classes of ultrafilters which are Tukey

Dobrinen, Natasha

158

Integrating Kinect Depth Data with a Stochastic Object Classification Framework for Forestry Robots  

E-Print Network [OSTI]

Integrating Kinect Depth Data with a Stochastic Object Classification Framework for Forestry Robots camera for a stochastic classification system for forestry robots. The images are classified as bush- ject classification system that uses only RGB camera. The system is aimed for a forestry robot

Hellström, Thomas

159

1202 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 46, NO. 5, MAY 1998 Classification of Underwater Mammals  

E-Print Network [OSTI]

1202 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 46, NO. 5, MAY 1998 Classification of Underwater Cooper, Nathan Intrator, and Harel Shouval Abstract--Underwater mammal sound classification is demon and different wavelet representations are stud- ied. The system achieves outstanding classification performance

Intrator, Nathan

160

Building Local Terrain Maps Using SpatioTemporal Classification for Semantic Robot Localization  

E-Print Network [OSTI]

of the environment. We describe how to efficiently integrate the classification results of each time stepBuilding Local Terrain Maps Using Spatio­Temporal Classification for Semantic Robot Localization Stefan Laible1 and Andreas Zell1 Abstract-- The correct classification of the surrounding ter- rain

Zell, Andreas

Note: This page contains sample records for the topic "understood sanyal classification" 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

A Robust Audio Classification and Segmentation Method Lie Lu, Hao Jiang and HongJiang Zhang  

E-Print Network [OSTI]

A Robust Audio Classification and Segmentation Method Lie Lu, Hao Jiang and HongJiang Zhang for audio classification that is capable of segmenting and classifying an audio stream into speech, music, environment sound and silence. Audio classification is processed in two steps, which makes it suitable

Jiang, Hao

162

Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification  

E-Print Network [OSTI]

Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification of Shadow√źWe present an original statistical classification method using a deformable template model to separate transformations, to take into account the shape variability. Then, the classification problem is defined as a two

Mignotte, Max

163

Audio Classification by Search of Primary Components Julien PINQUIER, Jos ARIAS and Rgine ANDRE-OBRECHT  

E-Print Network [OSTI]

Audio Classification by Search of Primary Components Julien PINQUIER, José ARIAS and Régine ANDRE broadcasts. We present three different audio classification tools that we have developed. The first one, a speech/music classification tool, is based on three original features: entropy modulation, stationary

Pinquier, Julien

164

Refinements of the Weyl tensor classification in five dimensions  

E-Print Network [OSTI]

We refine the null alignment classification of the Weyl tensor of a five-dimensional spacetime. The paper focusses on the algebraically special alignment types {\\bf {N}}, {\\bf {III}}, {\\bf {II}} and {\\bf {D}}, while types {\\bf {I}} and {\\bf {G}} are briefly discussed. A first refinement is provided by the notion of spin type of the components of highest boost weight. Second, we analyze the Segre types of the Weyl operator acting on bivector space and examine the intersection with the spin type classification. We present a full treatment for types {\\bf {N}} and {\\bf {III}}, and illustrate the classification from different viewpoints (Segre type, rank, spin type) for types {\\bf {II}} and {\\bf {D}}, paying particular attention to possible nilpotence, which is a new feature of higher dimensions. We also point out other essential differences with the four-dimensional case. In passing, we exemplify the refined classification by mentioning the special subtypes associated to certain important spacetimes, such as Myers-Perry black holes, black strings, Robinson-Trautman spacetimes, and purely electric/magnetic type {\\bf {D}} spacetimes.

Alan Coley; Sigbjorn Hervik; Marcello Ortaggio; Lode Wylleman

2012-09-22T23:59:59.000Z

165

Classification and forecasting of load curves Nolwen Huet  

E-Print Network [OSTI]

Classification and forecasting of load curves Nolwen Huet Abstract The load curve, which gives of electricity customer uses. This load curve is only available for customers with automated meter reading. For the others, EDF must estimate this curve. Usually a clustering of the load curves is performed, followed

Cuesta, Juan Antonio

166

Robust Neuroimaging-Based Classification Techniques of Autistic vs. Typically  

E-Print Network [OSTI]

abnormalities in several brain regions. Increased head size was the first observed characteristic in children1 Robust Neuroimaging-Based Classification Techniques of Autistic vs. Typically Developing Brain with autism. According to the published studies, different anatomical structures of the brain have been

Farag, Aly A.

167

Classification of the Visual Landscape for Transmission Planning1  

E-Print Network [OSTI]

. The third concept is that the specific design of transmission towers can result in a negative re- sponseClassification of the Visual Landscape for Transmission Planning1 Curtis Miller2/ , Nargis Jetha3 can be made of the visual change to the landscape due to the introduction of transmission facilities

Standiford, Richard B.

168

Classification of Two-Phase Flow Patterns by Ultrasonic Sensing  

E-Print Network [OSTI]

in addition to several other factors such as the bulk flow rate, fluid properties, and flow boundary conditions [1]. Characterization of flow patterns and identification of the associ- ated flow regimes instrumentation, both for void fraction identification and flow pattern classification. High-speed photog- raphy

Ray, Asok

169

Industrial Steam Power Cycles Final End-Use Classification  

E-Print Network [OSTI]

Final end uses of steam include two major classifications: those uses that condense the steam against heat transfer surfaces to provide heat to an item of process or service equipment; and those that require a mass flow of steam for stripping...

Waterland, A. F.

1983-01-01T23:59:59.000Z

170

Fuzzy Rough Positive Region based Nearest Neighbour Classification  

E-Print Network [OSTI]

of the main subjects in machine learning and pattern recognition, with applications in fields like spam theory to improve the FNN classifier. Fuzzy rough set theory was designed to model imperfect knowledgeFuzzy Rough Positive Region based Nearest Neighbour Classification Nele Verbiest, Chris Cornelis

Gent, Universiteit

171

Bayesian Gaussian Process Classification with the EM-EP Algorithm  

E-Print Network [OSTI]

Bayesian Gaussian Process Classification with the EM-EP Algorithm Hyun-Chul Kim and Zoubin of hyperparameters to determine various aspects of the function. Recently, the expectation propagation (EP) approach an approximate EM algorithm, the EM-EP algorithm, to learn both the latent function and the hyperparameters

Ghahramani, Zoubin

172

A Visual Analytics Approach for Correlation, Classification, and  

E-Print Network [OSTI]

are combined into a parallel coordinates based framework for enhanced multivariate visual analysis. Figure 1A Visual Analytics Approach for Correlation, Classification, and Regression Analysis Chad A. Steed Mississippi State University 1021 Balch Blvd. Stennis Space Center, MS 39529 USA T.J. Jankun-Kelly tjk

Swan II, J. Edward

173

A Visual Analytics Approach for Correlation, Classification, and Regression Analysis  

E-Print Network [OSTI]

multivariate visual analysis. The current work features an expanded version of MDX that builds on recentA Visual Analytics Approach for Correlation, Classification, and Regression Analysis Chad A. Steeda, Mississippi State University, Stennis Space Center, MS, 39529; cDepartment of Computer Science and Engineering

Swan II, J. Edward

174

Wind speed PDF classification using Dirichlet mixtures Rudy CALIF1  

E-Print Network [OSTI]

Wind speed PDF classification using Dirichlet mixtures Rudy CALIF1 , Richard EMILION2 , Ted'Orléans), UMR CNRS 6628 Université d'Orléans, France. Abstract: Wind energy production is very sensitive to instantaneous wind speed fluctuations. Thus rapid variation of wind speed due to changes in the local

Paris-Sud XI, Université de

175

Classification of two dimensional fixed sun angle solar sail trajectories  

E-Print Network [OSTI]

Classification of two dimensional fixed sun angle solar sail trajectories Stephen Wokes, Phil heliocentric trajectories for fixed sun angle solar sails are examined. The objective of this work (lightness factor) and Sun angle this phase space shows all possible solar sail trajectories. This phase

Roberts, Mark

176

ENHANCED CLOUD REGIME CLASSIFICATION FOR EVALUATION OF MODEL FAST PHYSICS  

E-Print Network [OSTI]

ENHANCED CLOUD REGIME CLASSIFICATION FOR EVALUATION OF MODEL FAST PHYSICS Wuyin Lin1 , Yangang Liu1 of Energy under Contract No. DE-AC02-98CH10886 ABSTRACT Distinct cloud regimes exist locally and globally helps identify the meteorological conditions that are closely associated with specific cloud regimes

177

Comprehensive Superfamily and Function Classification of Protein Sequences  

E-Print Network [OSTI]

on the basis of end-to-end similarity and domain architecture. The protein superfamily organization of the PIR-International Protein Sequence Database (PIR-PSD) is the only comprehensive protein classification system that is based are facilitated by the PIR Annotation and Similarity Database, which includes a pre- computed FASTA Database

178

University Policy No.: BP3400 Classification: Buildings and Properties  

E-Print Network [OSTI]

University Policy No.: BP3400 Classification: Buildings and Properties POLICY ON EXTERNAL BOOKINGS Change: Mandated Review: 1.0 Purpose The purpose of this policy is to provide guidelines for the making the proposed use is compatible with the mission and policies of the University and does not interfere

Victoria, University of

179

University Policy No.: BP3200 Classification: Buildings and Properties  

E-Print Network [OSTI]

University Policy No.: BP3200 Classification: Buildings and Properties POLICY ON THE USE OF VICTORIA CAMPUS Supersedes: Last Editorial Change: Mandated Review: 1. The authority to establish policy: 2.1 fundamental and material policy changes respecting the use of vehicles and parking; and, 2

Victoria, University of

180

University Policy No.: AC1130 Classification: Academic and Students  

E-Print Network [OSTI]

University Policy No.: AC1130 Classification: Academic and Students Approving Authority: Board Last Editorial Change: Mandated Review: 2018 PURPOSE 1.00 The purpose of this policy is to provide guidance on the establishment and governance of student awards by the university. POLICY 2.00 Student

Victoria, University of

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


181

University Policy No.: FM5105 Classification: Financial Management  

E-Print Network [OSTI]

University Policy No.: FM5105 Classification: Financial Management Approving Authority: Board of Governors PURCHASING SERVICES POLICY Effective Date: April/07 Supersedes: September/92 Last Editorial Change: September/09 Mandated Review: 1.0 PURPOSE AND SCOPE OF PURCHASING SERVICES POLICY: The purpose

Victoria, University of

182

University Policy No.: FM5110 Classification: Financial Management  

E-Print Network [OSTI]

University Policy No.: FM5110 Classification: Financial Management Approving Authority: Board of Governors POLICY ON STRATEGIC ALLIANCES Effective Date: April/03 Supersedes: September/00 Last Editorial Change: Mandated Review: 1. PURPOSE The purpose of this policy is to set out the principles

Victoria, University of

183

University Policy No.: SS9300 Classification: Safety and Security  

E-Print Network [OSTI]

University Policy No.: SS9300 Classification: Safety and Security Approving Authority: Board of Governors COMMUNICABLE DISEASES POLICY Effective Date: April/04 Supersedes: November/94 Last Editorial Change: Mandated Review: 1. POLICY PURPOSE The purpose of the policy is to provide direction

Victoria, University of

184

University Policy No.: HR6105 Classification: Human Resources  

E-Print Network [OSTI]

University Policy No.: HR6105 Classification: Human Resources EQUITY POLICY FOR FEMALE Approving in pension policies have been remedied and the introduction of a parental leave policy has greatly benefited be recognized in hiring and other personnel decisions. 5. Ensure that University policies encourage gender

Victoria, University of

185

POLAR SEA-ICE CLASSIFICATION USING ENHANCED RESOLUTION NSCAT DATA  

E-Print Network [OSTI]

POLAR SEA-ICE CLASSIFICATION USING ENHANCED RESOLUTION NSCAT DATA Q. P. Remund and D. G. Long of the scatterometer image reconstruction with filter (SIRF) algorithm. SIRF produces images of A and B where A is U is shown to have high correlation with the NSIDC SSM/I derived multiyear ice maps. INTRODUCTION Polar sea

Long, David G.

186

Group classification of a nonlinear sound wave model  

E-Print Network [OSTI]

Based on a recent classification of subalgebras of the symmetry algebra of the Zabolotskaya-Khokhlov equation, all similarity reductions of this equation into ordinary differential equations are obtained. Large classes of group invariant solutions of the equation are also determined, and some properties of these solutions are discussed.

J. C. Ndogmo

2008-06-26T23:59:59.000Z

187

University Policy No.: AC1110 Classification: Academic and Students  

E-Print Network [OSTI]

other than the university community. DEFINITIONS 2.00 EDUCATIONAL SERVICE CONTRACT means a contract://web.uvic.ca/univsec/pol_pro/pol1000/1002SA.html) 8.00 Approval of an Educational Service Contract will be granted by the Dean andUniversity Policy No.: AC1110 Classification: Academic and Students EDUCATIONAL SERVICE

Victoria, University of

188

Exploiting Monotonicity Constraints in Active Learning for Ordinal Classification  

E-Print Network [OSTI]

Utrecht University, Utrecht, The Netherlands www.cs.uu.nl #12;ISSN: 0924-3275 Department of Information and Computing Sciences Utrecht University P.O. Box 80.089 3508 TB Utrecht The Netherlands #12;Exploiting Monotonicity Constraints in Active Learning for Ordinal Classification Pieter Soons Universiteit Utrecht

Utrecht, Universiteit

189

Hazard classification criteria for non-nuclear facilities  

SciTech Connect (OSTI)

Sandia National Laboratories` Integrated Risk Management Department has developed a process for establishing the appropriate hazard classification of a new facility or operation, and thus the level of rigor required for the associated authorization basis safety documentation. This process is referred to as the Preliminary Hazard Screen. DOE Order 5481.1B contains the following hazard classification for non-nuclear facilities: high--having the potential for onsite or offsite impacts to large numbers of persons or for major impacts to the environment; moderate--having the potential for considerable onsite impacts but only minor offsite impacts to people or the environment; low--having the potential for only minor onsite and negligible offsite impacts to people or the environment. It is apparent that the application of such generic criteria is more than likely to be fraught with subjective judgment. One way to remove the subjectivity is to define health and safety classification thresholds for specific hazards that are based on the magnitude of the hazard, rather than on a qualitative assessment of possible accident consequences. This paper presents the results of such an approach to establishing a readily usable set of non-nuclear facility hazard classifications.

Mahn, J.A.; Walker, S.A.

1997-03-01T23:59:59.000Z

190

University Policy No.: AC1135 Classification: Academic and Students  

E-Print Network [OSTI]

or graduate certificate or diploma program must have a clearly defined educational objective and rationaleUniversity Policy No.: AC1135 Classification: Academic and Students POLICY FOR THE ESTABLISHMENT Approving Authority: Senate OF CERTIFICATE AND DIPLOMA Effective Date: December/07 PROGRAMS Supersedes: May

Victoria, University of

191

University Policy No.: SS9120 Classification: Safety and Security  

E-Print Network [OSTI]

, faculty and staff are provided with education and awareness programs in the areas of personal safety · providing educational and awareness programs for faculty and staff and · advising faculty and staffUniversity Policy No.: SS9120 Classification: Safety and Security POLICY ON PREVENTION

Victoria, University of

192

University Policy No.: AC1200 Classification: Academic and Students  

E-Print Network [OSTI]

University Policy No.: AC1200 Classification: Academic and Students GUIDELINES ON CONFLICT be no unfair restrictions on the educational and employment opportunities of all students nor, or applying to be enrolled, in a course or program offered by the University for credit towards

Victoria, University of

193

Fingerprinting the Datacenter: Automated Classification of Performance Crises  

E-Print Network [OSTI]

Fingerprinting the Datacenter: Automated Classification of Performance Crises Peter Bod¬īik1, Berkeley 2 Microsoft Research 3 Cornell University 4 Microsoft Abstract Contemporary datacenters comprise on a new and efficient representation of the datacenter's state called a fingerprint, constructed by statis

Woodard, Dawn B.

194

Web Page Classification on Child Suitability Carsten Eickhoff  

E-Print Network [OSTI]

Web Page Classification on Child Suitability Carsten Eickhoff Delft University of Technology Delft, Netherlands c.eickhoff@tudelft.nl Pavel Serdyukov Delft University of Technology Delft, Netherlands p.serdyukov@tudelft.nl Arjen P. de Vries Centrum Wiskunde & Informatica Amsterdam, Netherlands arjen@acm.org ABSTRACT Children

195

SIC (MUltiple SIgnal Classification) CSP (Cross-power Spectrum Phase)  

E-Print Network [OSTI]

2ch CSP ( ) 1 MU- SIC (MUltiple SIgnal Classification) CSP (Cross- power Spectrum Phase) [1, 2, 3, 4] [5, 6] [7, 8, 9, 10] [7] CSP CSP [8] [9] CSP [10] Estimation of talker's head orientation based (Kobe univ.) [11] 2ch CSP CSP CSP CSP 2 CSP GCC-PHAT (Generalized Cross- Correlation PHAse Transform

Takiguchi, Tetsuya

196

Classification of Sweden's Forest and Alpine Vegetation Using Optical  

E-Print Network [OSTI]

Classification of Sweden's Forest and Alpine Vegetation Using Optical Satellite and Inventory Data of Sweden's Forest and Alpine Vegetation Using Optical Satellite and Inventory Data. Abstract Creation photo-interpretation, or ground-based inventories. National inventories are a potential source

197

Gender classification by combining clothing, hair and facial component classifiers  

E-Print Network [OSTI]

facial images is widely used in applications like human­computer interface, demographics, and customer difficulties. The psychological experi- ment in our previous work showed that hair provides discrimi- native of these images. They get 96.3% classification accuracy on color images, and 93.5% on gray images on average. From

Lu, Bao-Liang

198

Signal Classification in Heterogeneous OFDM-based Cognitive Radio Systems  

E-Print Network [OSTI]

the spectrum awareness also called classification of various signals enabling the OFDM-based cognitive radio, also called secondary users (SUs). The SU tries to gain access to the licensed spectrum when the PU environment come from the spectrum sensing feature of the cognitive radio. The other main functions

Gesbert, David

199

Examining the Evolution and Distribution of Patent Classifications  

E-Print Network [OSTI]

Examining the Evolution and Distribution of Patent Classifications Daniel O. Kutz School of Library@indiana.edu ABSTRACT Today, more so then ever, patents play an important role in helping inventors and organizations protect their intellectual property. With a 150% increase in the number of patents granted over the last

Börner, Katy

200

Improved Classification of Medical Data Using Abductive Network Committees  

E-Print Network [OSTI]

Improved Classification of Medical Data Using Abductive Network Committees Trained on Different 3 860 4281 #12;Summary This paper demonstrates the use of abductive network classifier committees the features and forming subsets of uniform predictive quality for training individual members. The abductive

Abdel-Aal, Radwan E.

Note: This page contains sample records for the topic "understood sanyal classification" 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

Abductive Network Committees for Improved Classification of Medical Data  

E-Print Network [OSTI]

Abductive Network Committees for Improved Classification of Medical Data R. E. Abdel-Aal Center;Summary Objectives: To introduce abductive network classifier committees as an ensemble method-organizing, automatic-stopping nature, and learning approach used by abductive networks are not very conducive

Abdel-Aal, Radwan E.

202

Transient ST-Segment Episode Detection for ECG Beat Classification  

E-Print Network [OSTI]

Transient ST-Segment Episode Detection for ECG Beat Classification Suma C. Bulusu, Miad Faezipour on the application of signal processing and artificial intelligence to the heart signal known as the ECG. The Electrocardiogram (ECG) is an electrical recording of the heart behavior and is crucial to investigating cardiac

Ng, Vincent

203

Husnjak et al., 2004. Soil inventory and soil classification in Croatia ISRIC World Soil Information Country Series  

E-Print Network [OSTI]

Husnjak et al., 2004. Soil inventory and soil classification in Croatia Page 1 ISRIC World Soil Information Country Series Soil inventory and soil classification in Croatia: historical review, current classification in Croatia Page 2 Summary An historical overview of soil survey and soil classification activities

Rossiter, D G "David"

204

Semi-supervised Learning for Photometric Supernova Classification  

E-Print Network [OSTI]

We present a semi-supervised method for photometric supernova typing. Our approach is to first use the nonlinear dimension reduction technique diffusion map to detect structure in a database of supernova light curves and subsequently employ random forest classification on a spectroscopically confirmed training set to learn a model that can predict the type of each newly observed supernova. We demonstrate that this is an effective method for supernova typing. As supernova numbers increase, our semi-supervised method efficiently utilizes this information to improve classification, a property not enjoyed by template based methods. Applied to supernova data simulated by Kessler et al. (2010b) to mimic those of the Dark Energy Survey, our methods achieve (cross-validated) 96% Type Ia purity and 86% Type Ia efficiency on the spectroscopic sample, but only 56% Type Ia purity and 48% efficiency on the photometric sample due to their spectroscopic followup strategy. To improve the performance on the photometric sample...

Richards, Joseph W; Freeman, Peter E; Schafer, Chad M; Poznanski, Dovi

2011-01-01T23:59:59.000Z

205

ECG beats classification using waveform similarity and RR interval  

E-Print Network [OSTI]

This paper present an electrocardiogram (ECG) beat classification method based on waveform similarity and RR interval. The purpose of the method is to classify six types of heart beats (normal beat, atrial premature beat, paced beat, premature ventricular beat, left bundle branch block beat and right bundle branch block beat). The electrocardiogram signal is first denoised using wavelet transform based techniques. Heart beats of 128 samples data centered on the R peak are extracted from the ECG signal and thence reduced to 16 samples data to constitute a feature. RR intervals surrounding the beat are also exploited as feature. A database of annotated beats is built for the classifier for waveform comparison to unknown beats. Tested on 46 records in the MIT/BIH arrhythmia database, the method shows classification rate of 97.52%.

Ka, Ahmad Khoureich

2011-01-01T23:59:59.000Z

206

Classification of birth weights based on dichotomous variables  

E-Print Network [OSTI]

were extracted from clinical records of 185 mothers who received prenatal care from the Watauga County Health Depart- ment during 1979 and from the birth certificates of their respective new- born, Cases terminating in abortion, natural or induced...CLASSIFICATION OF BIRTH HEIGHTS BASED ON DICHOTOMOUS VARIABLES A Thesis by LYNN McIVER PERRY, JR, Submitted to the Graduate College of Texas A&M University in partial fuli'illment of the requirement. for the degree of MASTER OF SCIENCE...

Perry, Lynn McIver

1980-01-01T23:59:59.000Z

207

Cross-Language Text Classification J. Scott Olsson  

E-Print Network [OSTI]

word cj . That is, Ei,j P(ei|cj ), 1 i Ne, 1 j Nc E = 0 B @ P(e1|c1) · · · P(e1|cCross-Language Text Classification J. Scott Olsson Dept. of Mathematics University of Maryland their Czech counterparts (e.g., to discuss London more than Prague), so that, having only documents in English

Oard, Doug

208

Contextual completeness and a classification scheme for theories  

E-Print Network [OSTI]

We discuss the role of propositions, truth, context and observers in scientific theories. We introduce the concept of generalized proposition and use it to define an algorithm for the classification of any scientific theory. The algorithm assigns a number 0, 1, 2 or 3 to a given theory, thereby classifying it as of metaphysical, mathematical, classical or quantum class. The objective is to provide an impartial method of assessing the scientific status of any theory.

Jaroszkiewicz, George

2015-01-01T23:59:59.000Z

209

Classification Policy, Guidance & Reports | Department of Energy  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy UsageAUDITVehiclesTankless orAChief Medical Officer ChiefDepartment ofClassification

210

CLASSIFICATION OF FIRST-ORDER FLEXIBLE REGULAR BICYCLE POLYGONS  

E-Print Network [OSTI]

CLASSIFICATION OF FIRST-ORDER FLEXIBLE REGULAR BICYCLE POLYGONS ROBERT CONNELLY AND BAL¬īAZS CSIK¬īOS Abstract. A bicycle (n, k)-gon is an equilateral n-gon whose k-diagonals are equal. S. Tabachnikov proved that a regular n-gon is first-order flexible as a bicycle (n, k)-gon if and only if there is an integer 2 r n

Connelly, Robert

211

CLASSIFICATION OF THE MGR SURFACE ENVIRONMENTAL MONITORING SYSTEM  

SciTech Connect (OSTI)

The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) surface environmental monitoring system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333PY ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998).

J.A. Ziegler

1999-08-31T23:59:59.000Z

212

CLASSIFICATION OF THE MGR SUBSURFACE DEVELOPMENT TRANSPORTATION SYSTEM  

SciTech Connect (OSTI)

The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) subsurface development transportation structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P7 ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998).

R. Garrett

1999-08-31T23:59:59.000Z

213

Unsupervised Feature Learning for High-Resolution Satellite Image Classification  

SciTech Connect (OSTI)

The rich data provided by high-resolution satellite imagery allow us to directly model geospatial neighborhoods by understanding their spatial and structural patterns. In this paper we explore an unsupervised feature learning approach to model geospatial neighborhoods for classification purposes. While pixel and object based classification approaches are widely used for satellite image analysis, often these approaches exploit the high-fidelity image data in a limited way. In this paper we extract low-level features to characterize the local neighborhood patterns. We exploit the unlabeled feature measurements in a novel way to learn a set of basis functions to derive new features. The derived sparse feature representation obtained by encoding the measured features in terms of the learned basis function set yields superior classification performance. We applied our technique on two challenging image datasets: ORNL dataset representing one-meter spatial resolution satellite imagery representing five land-use categories and, UCMERCED dataset consisting of 21 different categories representing sub-meter resolution overhead imagery. Our results are highly promising and, in the case of UCMERCED dataset we outperform the best results obtained for this dataset. We show that our feature extraction and learning methods are highly effective in developing a detection system that can be used to automatically scan large-scale high-resolution satellite imagery for detecting large-facility.

Cheriyadat, Anil M [ORNL

2013-01-01T23:59:59.000Z

214

Classification of Flipped SU(5) Heterotic-String Vacua  

E-Print Network [OSTI]

We extend the classification of the free fermionic heterotic-string vacua to models in which the SO(10) GUT symmetry at the string scale is broken to the flipped SU(5) subgroup. In our classification method, the set of basis vectors defined by the boundary conditions which are assigned to the free fermions is fixed and the enumeration of the string vacua is obtained in terms of the Generalised GSO (GGSO) projection coefficients entering the one-loop partition function. We derive algebraic expressions for the GGSO projections for all the physical states appearing in the sectors generated by the set of basis vectors. This enables the analysis of the entire string spectrum to be programmed in to a computer code therefore, we performed a statistical sampling in the space of 2^{44} (approximately 10^{13}) flipped $SU(5)$ vacua and scanned up to 10^{12} GGSO configurations. For that purpose, two independent codes were developed based on JAVA and FORTRAN95. All the results presented here are confirmed by the two independent routines. Contrary to the corresponding Pati-Salam classification, we do not find exophobic flipped SU(5) vacua with an odd number of generations. We study the structure of exotic states appearing in the three generation models that additionally contain a viable Higgs spectrum. Moreover, we demonstrate the existence of models in which all the exotic states are confined by a hidden sector non-Abelian gauge symmetry as well as models that may admit the racetrack mechanism.

Alon E. Faraggi; John Rizos; Hasan Sonmez

2014-03-31T23:59:59.000Z

215

2015 Documentation Reporting Form: Carnegie Community2015 Documentation Reporting Form: Carnegie Community Engagement Classification (First-time applicants)Engagement Classification (First-time applicants)  

E-Print Network [OSTI]

Community Engagement Classification (First-time applicants)Engagement Classification (First-time applicants is a major research university with extensive graduate programs that is also dedicated to outstanding undergraduate and professional education. University faculty are committed to the intellectual, cultural

Firestone, Jeremy

216

Automated Classification of Stellar Spectra. II: Two-Dimensional Classification with Neural Networks and Principal Components Analysis  

E-Print Network [OSTI]

We investigate the application of neural networks to the automation of MK spectral classification. The data set for this project consists of a set of over 5000 optical (3800-5200 AA) spectra obtained from objective prism plates from the Michigan Spectral Survey. These spectra, along with their two-dimensional MK classifications listed in the Michigan Henry Draper Catalogue, were used to develop supervised neural network classifiers. We show that neural networks can give accurate spectral type classifications (sig_68 = 0.82 subtypes, sig_rms = 1.09 subtypes) across the full range of spectral types present in the data set (B2-M7). We show also that the networks yield correct luminosity classes for over 95% of both dwarfs and giants with a high degree of confidence. Stellar spectra generally contain a large amount of redundant information. We investigate the application of Principal Components Analysis (PCA) to the optimal compression of spectra. We show that PCA can compress the spectra by a factor of over 30 while retaining essentially all of the useful information in the data set. Furthermore, it is shown that this compression optimally removes noise and can be used to identify unusual spectra.

Coryn A. L. Bailer-Jones; Mike Irwin; Ted von Hippel

1998-03-05T23:59:59.000Z

217

NON RESIDENT ALIEN REQUIRED DOCUMENTS CLASSIFICATION REQUIRED ATTACHEMENTS MUST BE SUBMITTED WITH THE  

E-Print Network [OSTI]

NON RESIDENT ALIEN REQUIRED DOCUMENTS CLASSIFICATION REQUIRED ATTACHEMENTS MUST BE SUBMITTED WITH THE PAYROLL DOCUMENTS AND CITIZENSHIP STATUS FORM Permanent Resident Resident Alien Card, or I-551 Stamped

Adali, Tulay

218

E-Print Network 3.0 - accurate classification system Sample Search...  

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

and for accurate evaluation of heat... into at least two sub-zones. Classification of ice within ... Source: Toussaint, Marc - Institute for Adaptive and Neural Computation,...

219

E-Print Network 3.0 - automatic defect classification Sample...  

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

Engineering 7 AgEng Leuven 2004 Engineering the Future (International Conference of Agricultural Engineering) Summary: classification for Jonagold' apples, where...

220

Complete Classification of 1+1 Gravity Solutions  

E-Print Network [OSTI]

A classification of the maximally extended solutions for 1+1 gravity models (comprising e.g. generalized dilaton gravity as well as models with non-trivial torsion) is presented. No restrictions are placed on the topology of the arising solutions, and indeed it is found that for generic models solutions on non-compact surfaces of arbitrary genus with an arbitrary non-zero number of holes can be obtained. The moduli space of classical solutions (solutions of the field equations with fixed topology modulo gauge transformations) is parametrized explicitly.

T. Kloesch; T. Strobl

1997-11-25T23:59:59.000Z

Note: This page contains sample records for the topic "understood sanyal classification" 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

On the Classification of Low-Rank Braided Fusion Categories  

E-Print Network [OSTI]

ON THE CLASSIFICATION OF LOW-RANK BRAIDED FUSION CATEGORIES A Dissertation by PAUL JOSEPH BRUILLARD Submitted to the O ce of Graduate Studies of Texas A&M University in partial ful llment of the requirements for the degree of DOCTOR...+=p . BFC Braided Fusion Category. C0 The M uger center of the category C. Cad The adjoint subcategory. Cpt The pointed subcategory. Cop Opposite (mirror) category to C. coevX Coevaluation I! X X . C2 (G;K ) 2-cochains of G with coe cients in K . C...

Bruillard, Paul Joseph

2013-05-23T23:59:59.000Z

222

Automatic Fault Characterization via Abnormality-Enhanced Classification  

SciTech Connect (OSTI)

Enterprise and high-performance computing systems are growing extremely large and complex, employing hundreds to hundreds of thousands of processors and software/hardware stacks built by many people across many organizations. As the growing scale of these machines increases the frequency of faults, system complexity makes these faults difficult to detect and to diagnose. Current system management techniques, which focus primarily on efficient data access and query mechanisms, require system administrators to examine the behavior of various system services manually. Growing system complexity is making this manual process unmanageable: administrators require more effective management tools that can detect faults and help to identify their root causes. System administrators need timely notification when a fault is manifested that includes the type of fault, the time period in which it occurred and the processor on which it originated. Statistical modeling approaches can accurately characterize system behavior. However, the complex effects of system faults make these tools difficult to apply effectively. This paper investigates the application of classification and clustering algorithms to fault detection and characterization. We show experimentally that naively applying these methods achieves poor accuracy. Further, we design novel techniques that combine classification algorithms with information on the abnormality of application behavior to improve detection and characterization accuracy. Our experiments demonstrate that these techniques can detect and characterize faults with 65% accuracy, compared to just 5% accuracy for naive approaches.

Bronevetsky, G; Laguna, I; de Supinski, B R

2010-12-20T23:59:59.000Z

223

Early Classification of Multivariate Time Series Using a Hybrid HMM/SVM model  

E-Print Network [OSTI]

Early Classification of Multivariate Time Series Using a Hybrid HMM/SVM model Mohamed F. Ghalwash to use a shorter time interval for classification is often more favorable than having a slightly more with other models that use full time series both in training and testing. Analysis of biomedical data has

Obradovic, Zoran

224

CLASSIFICATION OF NON-HEAT GENERATING OUTDOOR OBJECTS IN THERMAL SCENES FOR AUTONOMOUS ROBOTS  

E-Print Network [OSTI]

describes a physics-based adaptive Bayesian pattern classification model that uses a passive thermal as a result of the diurnal cycle of solar energy. The model that we present will allow bots to "see beyond by the classes of objects and design our Adaptive Bayesian Classification Model. We demonstrate that our novel

Shaw, Leah B.

225

A RAMSEY-CLASSIFICATION THEOREM AND ITS APPLICATION IN THE TUKEY THEORY OF ULTRAFILTERS  

E-Print Network [OSTI]

A RAMSEY-CLASSIFICATION THEOREM AND ITS APPLICATION IN THE TUKEY THEORY OF ULTRAFILTERS NATASHA DOBRINEN AND STEVO TODORCEVIC Abstract. Motivated by a Tukey classification problem we develop here a new are Tukey re- ducible to U1: Every ultrafilter which is Tukey reducible to U1 is isomorphic to a countable

Dobrinen, Natasha

226

Machine Learning for Seismic Signal Processing: Seismic Phase Classification on a Manifold  

E-Print Network [OSTI]

Machine Learning for Seismic Signal Processing: Seismic Phase Classification on a Manifold Juan--In this research, we consider the supervised learning problem of seismic phase classification. In seismology, knowledge of the seismic activity arrival time and phase leads to epicenter localization and surface

Meyer, Francois

227

Apple Defect Detection and Quality Classification with MLP-Neural Networks  

E-Print Network [OSTI]

Apple Defect Detection and Quality Classification with MLP-Neural Networks Devrim UNAY, Bernard' apples is shown. Color, texture and wavelet features are extracted from the apple images. Principal-classifications. The European Union defines three quality classes ("extra", "I", and "II") for the fresh apples

Dupont, Stéphane

228

Classification Based Mode Decisions for Video over Networks Deepak S. Turaga and Tsuhan Chen  

E-Print Network [OSTI]

classification based approach to making such mode decisions accurately and efficiently. We first illustrateClassification Based Mode Decisions for Video over Networks Deepak S. Turaga and Tsuhan Chen Engineering Carnegie Mellon University Pittsburgh, PA 15213 Inter-Intra Decision Regions mrMAD Energy 0 10 20

Chen, Tsuhan

229

COMPRESSIVE VIDEO CLASSIFICATION IN A LOW-DIMENSIONAL MANIFOLD WITH LEARNED DISTANCE METRIC  

E-Print Network [OSTI]

COMPRESSIVE VIDEO CLASSIFICATION IN A LOW-DIMENSIONAL MANIFOLD WITH LEARNED DISTANCE METRIC George Tzagkarakis1 , Grigorios Tsagkatakis2 , Jean-Luc Starck1 and Panagiotis Tsakalides2 1 Commissariat `a l'¬īEnergie of video classification based on a set of com- pressed features, without the need of accessing the original

Tsakalides, Panagiotis

230

Hardware-Based Support Vector Machine Classification in Logarithmic Number Systems  

E-Print Network [OSTI]

for its energy-efficient properties [3,9]. Successful deployment of logarithmic functionality in neuralHardware-Based Support Vector Machine Classification in Logarithmic Number Systems Faisal M. Khan loss in classification accuracy. I. INTRODUCTION Cognitive systems capable of gathering information

Pottenger, William M.

231

Energy-Efficient Multi-Pipeline Architecture for Terabit Packet Classification  

E-Print Network [OSTI]

Energy-Efficient Multi-Pipeline Architecture for Terabit Packet Classification Weirong Jiang-pipeline architecture for energy-efficient packet classification. We optimize the HyperCuts algorithm, which Angeles, CA 90089, USA Email: {weirongj, prasanna}@usc.edu Abstract--Energy efficiency has become

Prasanna, Viktor K.

232

Wavelets and Support Vector Machines for Texture Classification Kashif Mahmood Rajpoot Nasir Mahmood Rajpoot  

E-Print Network [OSTI]

Wavelets and Support Vector Machines for Texture Classification Kashif Mahmood Rajpoot Nasir@dcs.warwick.ac.uk Abstract We present a novel texture classification algorithm using 2-D discrete wavelet transform (DWT, and a local energy function is computed corresponding to each pixel of the feature images. This feature vector

Rajpoot, Nasir

233

High-performance Architecture for Dynamically Updatable Packet Classification on FPGA  

E-Print Network [OSTI]

. Our architecture demonstrates 4√? energy efficiency while achieving 2√? throughput compared to TCAM. 1High-performance Architecture for Dynamically Updatable Packet Classification on FPGA Yun R. Qu and FPGA based implementations for packet classification have been studied over the past decade. Al

Prasanna, Viktor K.

234

Classification using Intersection Kernel Support Vector Machines is Efficient Subhransu Maji  

E-Print Network [OSTI]

Classification using Intersection Kernel Support Vector Machines is Efficient Subhransu Maji EECS classification using kernelized SVMs re- quires evaluating the kernel for a test vector and each of the support vectors. For a class of kernels we show that one can do this much more efficiently. In particular we show

O'Brien, James F.

235

CLASSIFICATION OF BIOMEDICAL HIGH-RESOLUTION MICRO-CT IMAGES FOR DIRECT VOLUME RENDERING  

E-Print Network [OSTI]

CLASSIFICATION OF BIOMEDICAL HIGH-RESOLUTION MICRO-CT IMAGES FOR DIRECT VOLUME RENDERING Maite L,cerquide,davidm,anna}@maia.ub.es ABSTRACT This paper introduces a machine learning approach into the process of direct volume rendering that generates the classification func- tion within the optical property function used for rendering. Briefly

López-Sánchez, Maite

236

kenmerk 369.075 1 RULES FOR CLASSIFICATION AND RANKING OF STAFF  

E-Print Network [OSTI]

, a new job classification system (UFO) came into force. As a result of the introduction of UFO, old job jobs are ranked. At several levels the introduction of UFO has consequences for the classification for the application of UFO is the job. This is the `cluster of tasks to be performed by the employee based

Twente, Universiteit

237

Classification with Artificial Neural Networks and Support Vector Machines: application to oil fluorescence spectra  

E-Print Network [OSTI]

(WQI), and to signal predictions in a nuclear power plant (Kim WJ, S H Chang & B H Lee 1993). They haveClassification with Artificial Neural Networks and Support Vector Machines: application to oil, and Oil fluorescence ABSTRACT: This paper reports on oil classification with fluorescence spectroscopy

Oldenburg, Carl von Ossietzky Universität

238

Associations among hydrologic classifications and fish traits to support environmental flow standards  

SciTech Connect (OSTI)

Classification systems are valuable to ecological management in that they organize information into consolidated units thereby providing efficient means to achieve conservation objectives. Of the many ways classifications benefit management, hypothesis generation has been discussed as the most important. However, in order to provide templates for developing and testing ecologically relevant hypotheses, classifications created using environmental variables must be linked to ecological patterns. Herein, we develop associations between a recent US hydrologic classification and fish traits in order to form a template for generating flow ecology hypotheses and supporting environmental flow standard development. Tradeoffs in adaptive strategies for fish were observed across a spectrum of stable, perennial flow to unstable intermittent flow. In accordance with theory, periodic strategists were associated with stable, predictable flow, whereas opportunistic strategists were more affiliated with intermittent, variable flows. We developed linkages between the uniqueness of hydrologic character and ecological distinction among classes, which may translate into predictions between losses in hydrologic uniqueness and ecological community response. Comparisons of classification strength between hydrologic classifications and other frameworks suggested that spatially contiguous classifications with higher regionalization will tend to explain more variation in ecological patterns. Despite explaining less ecological variation than other frameworks, we contend that hydrologic classifications are still useful because they provide a conceptual linkage between hydrologic variation and ecological communities to support flow ecology relationships. Mechanistic associations among fish traits and hydrologic classes support the presumption that environmental flow standards should be developed uniquely for stream classes and ecological communities, therein.

McManamay, Ryan A [ORNL; Bevelhimer, Mark S [ORNL; Frimpong, Dr. Emmanuel A, [Virginia Polytechnic Institute and State University

2014-01-01T23:59:59.000Z

239

Large-Scale Patent Classification with Min-Max Modular Support Vector Machines  

E-Print Network [OSTI]

Large-Scale Patent Classification with Min-Max Modular Support Vector Machines Xiao-Lei Chu, Chao Ma, Jing Li, Bao-Liang Lu Senior Member, IEEE, Masao Utiyama, and Hitoshi Isahara Abstract-- Patent-world patent classification typically exceeds one million, and this number increases every year. An effective

Lu, Bao-Liang

240

Using Temporal Information in an Automated Classification of Summer, Marginal Ice Zone Imagery*  

E-Print Network [OSTI]

Using Temporal Information in an Automated Classification of Summer, Marginal Ice Zone Imagery, even with the human eye. BackScatter instability causu the intensities of the fiistyear ice, multiyear ice, and open water classes to intermix, thus making an intensity-based classification invalid

Kansas, University of

Note: This page contains sample records for the topic "understood sanyal classification" 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

Model-based filtering, compression and classification of the ECG GD Clifford  

E-Print Network [OSTI]

Model-based filtering, compression and classification of the ECG GD Clifford ¬Ę¬° ¬£ , A Shoeb of this model using a nonlinear optimization, we demonstrate that an arbitrary ECG can be modeled the parameters, waveform classification is possible. 1. Introduction Conventional ECG filters are limited

McSharry, Patrick E.

242

ECG beat classification using a cost sensitive classifier Z.Zidelmal,a,  

E-Print Network [OSTI]

ECG beat classification using a cost sensitive classifier Z.Zidelmal,a, , A.Amirou,b, , D MIPS, Universit¬īe de Haute Alsace, France Abstract In this paper, we introduce a new system for ECG beat classification us- ing Support Vector Machines (SVMs) classifier with rejection. After ECG

Boyer, Edmond

243

Wetlands Research Program Technical Report WRP-DE-4 A Hydrogeomorphic Classification for Wetlands  

E-Print Network [OSTI]

Wetlands Research Program Technical Report WRP-DE-4 A Hydrogeomorphic Classification for Wetlands of the number designating technical reports of research published under the Wetlands Research Program identify;.-- Wetlands Research Program Technical Report WRP-DE-4 August 1993 A Hydrogeomorphic Classification

Gray, Matthew

244

EPA`s program for risk assessment guidelines: Cancer classification issues  

SciTech Connect (OSTI)

Issues presented are related to classification of weight of evidence in cancer risk assessments. The focus in this paper is on lines of evidence used in constructing a conclusion about potential human carcinogenicity. The paper also discusses issues that are mistakenly addressed as classification issues but are really part of the risk assessment process. 2 figs.

Wiltse, J. [Environmental Protection Agency, Washington, DC (United States)

1990-12-31T23:59:59.000Z

245

Judging Athenian Dramatic Competitions The judging procedure for Athenian dramatic contests is not well understood.1  

E-Print Network [OSTI]

. For noise in the theatre generally, see Robert W. Wallace, `Poet, Public, and "Theatrocracy": Audience Performance in Classical Athens' in Lowell Edmunds and Robert W. Wallace, Poet, Public, and Performance of the comic poet Epicharmus. Hesychius, s.v. ¬į , evidently has no other so

van Willigenburg, Stephanie

246

Is the Calcite-Water Interface Understood? Direct Comparisons of Molecular  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsingFunInfrared LandResponsesIon/SurfacePump-Testing Sign In About | CareersIs

247

Eos, Vol. 86, No. 42, 18 October 2005 to shed light on poorly understood piercement  

E-Print Network [OSTI]

-term changes in oxygen,car- bon dioxide (CO2 ),and several other measur- able parameters since the last global and Predictability (CLIVAR)/CO2 Repeat Hydrog- raphy component of the Global Earth Observ- ing System of Systems, freshwater,and CO2 .The CLIVAR/CO2 Repeat Hydrography program builds upon earlier programs (e.g.,the World

Talley, Lynne D.

248

On the use of MapReduce to build Linguistic Fuzzy Rule Based Classification Systems for Big Data  

E-Print Network [OSTI]

fuzzy rules it is able to provide an interpretable and effective classification model. This method of Education. Fuzzy Rule Based Classification Systems (FRBCSs) [4] are potent and popular tools for patternOn the use of MapReduce to build Linguistic Fuzzy Rule Based Classification Systems for Big Data

Granada, Universidad de

249

MUSIC GENRE CLASSIFICATION USING NOVEL FEATURES AND A WEIGHTED VOTING Dalwon Jang, Minho Jin, and Chang D. Yoo  

E-Print Network [OSTI]

MUSIC GENRE CLASSIFICATION USING NOVEL FEATURES AND A WEIGHTED VOTING METHOD Dalwon Jang, Minho Jin classification system based on two novel features and a weighted voting method. The proposed features, modulation classification system. 1. INTRODUCTION With the recent proliferation of digital music, there is increas- ing

Yoo, Chang D.

250

Processing of prosthetic heart valve sounds for classification. Revision 1  

SciTech Connect (OSTI)

People with serious heart conditions have had their expected life span extended considerably with the development of the prosthetic heart valve especially with the great strides made in valve design. Even though the designs are extremely reliable, the valves are mechanical and operating continuously over a long period, therefore, structural failures can occur due to fatigue. Measuring heart sounds non-invasively in a noisy environment puts more demands on the signal processing to extract the desired signals from the noise. In this paper the authors discuss acoustical signal processing techniques developed to process noisy heart valve sounds measured by a sensitive, surface contact microphone and used for the eventual classification of the valve.

Candy, J.V.; Jones, H.E.

1994-04-01T23:59:59.000Z

251

A Visual Analytics Approach for Correlation, Classification, and Regression Analysis  

SciTech Connect (OSTI)

New approaches that combine the strengths of humans and machines are necessary to equip analysts with the proper tools for exploring today's increasing complex, multivariate data sets. In this paper, a novel visual data mining framework, called the Multidimensional Data eXplorer (MDX), is described that addresses the challenges of today's data by combining automated statistical analytics with a highly interactive parallel coordinates based canvas. In addition to several intuitive interaction capabilities, this framework offers a rich set of graphical statistical indicators, interactive regression analysis, visual correlation mining, automated axis arrangements and filtering, and data classification techniques. The current work provides a detailed description of the system as well as a discussion of key design aspects and critical feedback from domain experts.

Steed, Chad A [ORNL; SwanII, J. Edward [Mississippi State University (MSU); Fitzpatrick, Patrick J. [Mississippi State University (MSU); Jankun-Kelly, T.J. [Mississippi State University (MSU)

2012-02-01T23:59:59.000Z

252

Cosmic web-type classification using decision theory  

E-Print Network [OSTI]

We propose a decision criterion for segmenting the cosmic web into different structure types (voids, sheets, filaments and clusters) on the basis of their respective probabilities and the strength of data constraints. Our approach is inspired by an analysis of games of chance where the gambler only plays if a positive expected net gain can be achieved based on some degree of privileged information. The result is a general solution for classification problems in the face of uncertainty, including the option of not committing to a class for a candidate object. As an illustration, we produce high-resolution maps of web-type constituents in the nearby Universe as probed by the Sloan Digital Sky Survey main galaxy sample. Other possible applications include the selection and labeling of objects in catalogs derived from astronomical survey data.

Leclercq, Florent; Wandelt, Benjamin

2015-01-01T23:59:59.000Z

253

Complexity Classifications for Propositional Abduction in Post's Framework  

E-Print Network [OSTI]

In this paper we investigate the complexity of abduction, a fundamental and important form of non-monotonic reasoning. Given a knowledge base explaining the world's behavior it aims at finding an explanation for some observed manifestation. In this paper we consider propositional abduction, where the knowledge base and the manifestation are represented by propositional formulae. The problem of deciding whether there exists an explanation has been shown to be \\SigPtwo-complete in general. We focus on formulae in which the allowed connectives are taken from certain sets of Boolean functions. We consider different variants of the abduction problem in restricting both the manifestations and the hypotheses. For all these variants we obtain a complexity classification for all possible sets of Boolean functions. In this way, we identify easier cases, namely \\NP-complete, \\coNP-complete and polynomial cases. Thus, we get a detailed picture of the complexity of the propositional abduction problem, hence highlighting s...

Creignou, Nadia; Thomas, Michael

2010-01-01T23:59:59.000Z

254

Classification of groundwater at the Nevada Test Site  

SciTech Connect (OSTI)

Groundwater occurring at the Nevada Test Site (NTS) has been classified according to the ``Guidelines for Ground-Water Classification Under the US Environmental Protection Agency (EPA) Ground-Water Protection Strategy`` (June 1988). All of the groundwater units at the NTS are Class II, groundwater currently (IIA) or potentially (IIB) a source of drinking water. The Classification Review Area (CRA) for the NTS is defined as the standard two-mile distance from the facility boundary recommended by EPA. The possibility of expanding the CRA was evaluated, but the two-mile distance encompasses the area expected to be impacted by contaminant transport during a 10-year period (EPA,s suggested limit), should a release occur. The CRA is very large as a consequence of the large size of the NTS and the decision to classify the entire site, not individual areas of activity. Because most activities are located many miles hydraulically upgradient of the NTS boundary, the CRA generally provides much more than the usual two-mile buffer required by EPA. The CRA is considered sufficiently large to allow confident determination of the use and value of groundwater and identification of potentially affected users. The size and complex hydrogeology of the NTS are inconsistent with the EPA guideline assumption of a high degree of hydrologic interconnection throughout the review area. To more realistically depict the site hydrogeology, the CRA is subdivided into eight groundwater units. Two main aquifer systems are recognized: the lower carbonate aquifer system and the Cenozoic aquifer system (consisting of aquifers in Quaternary valley fill and Tertiary volcanics). These aquifer systems are further divided geographically based on the location of low permeability boundaries.

Chapman, J.B.

1994-08-01T23:59:59.000Z

255

Acquisition, orthorectification, and object-based classification of unmanned aerial vehicle (UAV) imagery for rangeland monitoring  

E-Print Network [OSTI]

Acquisition, orthorectification, and object-based classification of unmanned aerial vehicle (UAV The use of unmanned aerial vehicles (UAVs) for natural resource applications has increased considerably a UAV relatively quickly and repeatedly at low altitudes. Additional advantages over piloted aircraft

256

Transductive Learning for Spatial Data Classification Michelangelo Ceci, Annalisa Appice, and Donato Malerba  

E-Print Network [OSTI]

Transductive Learning for Spatial Data Classification Michelangelo Ceci, Annalisa Appice, Italy {ceci,appice,malerba}@di.uniba.it Abstract. Learning classifiers of spatial data presents several among objects, the spatial autocorrelation and the abundance of unlabelled data which potentially convey

Malerba, Donato

257

Solar wind and geomagnetism: toward a standard classification of geomagnetic activity from 1868 to 2009  

E-Print Network [OSTI]

We examined solar activity with a large series of geomagnetic data from 1868 to 2009. We have revisited the geomagnetic activity classification scheme of Legrand and Simon (1989) and improve their scheme by lowering the ...

Zerbo, J. L.

258

A new Bayesian ensemble of trees approach for land cover classification of satellite imagery  

E-Print Network [OSTI]

projection) over Kings County, Nova Scotia, Canada, to classify the land cover. Several prediction accuracy, projection UTM) sur Kings County, Nova Scotia, Canada, pour la classification de l'occupation du sol

Ranjan, Pritam

259

Fuzzy Partitioning Using Real Coded Variable Length Genetic Algorithm for Pixel Classification  

E-Print Network [OSTI]

, fuzzy clustering, pattern recognition, remote sensing imagery, Department of Computer Science, KalyaniFuzzy Partitioning Using Real Coded Variable Length Genetic Algorithm for Pixel Classification space. Real-coded variable string length genetic fuzzy clustering with automatic evolution of clusters

Bandyopadhyay, Sanghamitra

260

CERIAS Tech Report 2007-04 SECURITY IN WIRELESS SENSOR NETWORKS -A LAYER BASED CLASSIFICATION  

E-Print Network [OSTI]

and communicational capabilities. Secondly, there is an additional risk of physical attacks such as node captureCERIAS Tech Report 2007-04 SECURITY IN WIRELESS SENSOR NETWORKS - A LAYER BASED CLASSIFICATION

Liblit, Ben

Note: This page contains sample records for the topic "understood sanyal classification" 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

A global typology of cities : classification tree analysis of urban resource consumption  

E-Print Network [OSTI]

A study was carried out to develop a typology of urban metabolic (or resource consumption) profiles for 155 globally representative cities. Classification tree analysis was used to develop a model for determining how certain ...

Saldivar-Sali, Artessa Niccola D., 1980-

2010-01-01T23:59:59.000Z

262

Classification of subsurface objects using singular values derived from signal frames  

DOE Patents [OSTI]

The classification system represents a detected object with a feature vector derived from the return signals acquired by an array of N transceivers operating in multistatic mode. The classification system generates the feature vector by transforming the real-valued return signals into complex-valued spectra, using, for example, a Fast Fourier Transform. The classification system then generates a feature vector of singular values for each user-designated spectral sub-band by applying a singular value decomposition (SVD) to the N.times.N square complex-valued matrix formed from sub-band samples associated with all possible transmitter-receiver pairs. The resulting feature vector of singular values may be transformed into a feature vector of singular value likelihoods and then subjected to a multi-category linear or neural network classifier for object classification.

Chambers, David H; Paglieroni, David W

2014-05-06T23:59:59.000Z

263

Institution Carnegie Classification All NSSE Institutions Cal State Fullerton Master's National  

E-Print Network [OSTI]

Institution Carnegie Classification All NSSE Institutions Cal State Fullerton Master's National (studying, reading, writing, rehearsing, and other activities related to your academic program) Number the national benchmarks of effective educational practice. The benchmarks are created on 100-point scales

de Lijser, Peter

264

The Robust Classification of Hyperspectral Images Using Adaptive Wavelet Kernel Support Vector Data Description  

E-Print Network [OSTI]

Detection of targets in hyperspectral images is a specific case of one-class classification. It is particularly relevant in the area of remote sensing and has received considerable interest in the past few years. The thesis proposes the use...

Kollegala, Revathi

2012-07-16T23:59:59.000Z

265

Regular maps with almost Sylow-cyclic automorphism groups, and classification of regular maps with Euler  

E-Print Network [OSTI]

Regular maps with almost Sylow-cyclic automorphism groups, and classification of regular maps with Euler characteristic -p2 Marston Abstract A regular map M is a cellular decomposition of a surface such that its * *automor

Conder, Marston

266

Real-time processing of remote sensor data as applied to Arctic ice classification  

E-Print Network [OSTI]

REAL-TIME PROCESSING OF REMOTE SENSOR DATA AS APPLIED TO ARCTIC ICE CLASSIFICATION A Thesis by JAMES AUSTIN PERMENTER partial ! Submitted to the Graduate College of Texas A)M University in fulfillment of the requirement for the degree... of MASTER OF SCIENCE December 1973 Major Subject: Electrical Engineering REAL-TIME PROCESSING OF REMOTE SENSOR DATA AS APPLIED TO ARCTIC ICE CLASSIFICATION A Thesis by James Austin Permenter Approved as to style and content by: ] ( rman of Commi...

Permenter, James Austin

1973-01-01T23:59:59.000Z

267

Comparison of value-added models for school ranking and classification: a Monte Carlo study  

E-Print Network [OSTI]

COMPARISON OF VALUE-ADDED MODELS FOR SCHOOL RANKING AND CLASSIFICATION: A MONTE CARLO STUDY A Dissertation by ZHONGMIAO WANG Submitted to the Office of Graduate Studies of Texas A&M University... AND CLASSIFICATION: A MONTE CARLO STUDY A Dissertation by ZHONGMIAO WANG Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Approved by: Co...

Wang, Zhongmiao

2009-05-15T23:59:59.000Z

268

Digital classification of composite format color-infrared aerial video imagery  

E-Print Network [OSTI]

) for large-area surveys down to individual crown/species identification for intensive studies. Befort (1986) used large-scale (1:1, 000) normal color aerial sampling photography to manually classify forest sites located in northern Idaho and eastern... may result in classifications comparable or even less accurate than 80-meter resolution products (Latty and Hoffer, 1980; Markham and Townshend, 1981). Nelson et al. (1984) achieved 50-60% classification accuracy for 13 land cover classes for a...

Palmer, Rebecca Anne

2012-06-07T23:59:59.000Z

269

Invariant Classification and Limits of Maximally Superintegrable Systems in 3D  

E-Print Network [OSTI]

The invariant classification of superintegrable systems is reviewed and utilized to construct singular limits between the systems. It is shown, by construction, that all superintegrable systems on conformally flat, 3D complex Riemannian manifolds can be obtained from singular limits of a generic system on the sphere. By using the invariant classification, the limits are geometrically motivated in terms of transformations of roots of the classifying polynomials.

J. Capel; J. Kress; S. Post

2015-01-28T23:59:59.000Z

270

Classification of heart valve condition using acoustic measurements  

SciTech Connect (OSTI)

Prosthetic heart valves and the many great strides in valve design have been responsible for extending the life spans of many people with serious heart conditions. Even though the prosthetic valves are extremely reliable, they are eventually susceptible to long-term fatigue and structural failure effects expected from mechanical devices operating over long periods of time. The purpose of our work is to classify the condition of in vivo Bjork-Shiley Convexo-Concave (BSCC) heart valves by processing acoustic measurements of heart valve sounds. The structural failures of interest for Bscc valves is called single leg separation (SLS). SLS can occur if the outlet strut cracks and separates from the main structure of the valve. We measure acoustic opening and closing sounds (waveforms) using high sensitivity contact microphones on the patient`s thorax. For our analysis, we focus our processing and classification efforts on the opening sounds because they yield direct information about outlet strut condition with minimal distortion caused by energy radiated from the valve disc.

Clark, G. [Lawrence Livermore National Lab., CA (United States)

1994-11-15T23:59:59.000Z

271

Classification of prosthetic heart valve sounds. A parametric approach  

SciTech Connect (OSTI)

People with heart problems have had their lives extended considerably with the development of the prosthetic heart valve. Great strides have been made in the development of the valves through the use of improved materials as well as efficient mechanical designs. However, since the valves operate continuously over a long period, structural failures can occur-even though they are relatively uncommon. Here the development of techniques to classify the valve either as having intact struts or as having a separated strut, commonly called single leg separation, is discussed. In this paper the signal processing techniques employed to extract the required signals/parameters are briefly reviewed and then it is shown how they can be used to simulate a synthetic heart valve database for eventual Monte Carlo testing. Next, the optimal classifier is developed under assumed conditions and its performance is compared to that of an adpative-type classifier implemented with a probabilistic neural network. Finally, the adaptive classifier is applied to a data set and its performance is analyzed. Based on synthetic data it is shown that excellent performance of the classifiers can be achieved implying a potentially robust solution to this classification problem. 21 refs., 11 figs., 1 tab.

Candy, J.V.; Jones, H.E. [Univ. of California, Livermore, CA (United States)]|[Lawrence Livermore National Lab., CA (United States)

1995-06-01T23:59:59.000Z

272

Separation and Classification of Lipids Using Differential Ion Mobility Spectrometry  

SciTech Connect (OSTI)

Correlations between the dimensions of a 2-D separation create trend lines that normally depend on structural or functional characteristics of the compound class and thus facilitate classification of unknowns. This broadly applies to conventional ion mobility spectrometry (IMS)/mass spectrometry (MS), where the major biomolecular classes (e.g., lipids, peptides, nucleotides) occupy different trend line domains. However, strong correlation between the IMS and MS separations for ions of same charge has impeded finer distinctions. Differential IMS (or FAIMS) is generally much less correlated to MS and thus should better separate the trend lines and associated domains. We report the first observation of chemical class separation by trend lines using FAIMS, here for lipids. For all lipids, FAIMS is indeed more independent of MS than conventional IMS, and subclasses (such as phospho-, glycero-, or sphingolipids) form distinct, often non-overlapping domains. Even finer categories with different functional groups or degrees of unsaturation are often separated. As expected, resolution improves in He-rich gases: at ~70% He, glycerolipid isomers with different positions of fatty acid attachment can be resolved. These results open the door for lipidomics application of FAIMS, particularly shotgun lipidomics and targeted analyses of bioactive lipids.

Shvartsburg, Alexandre A.; Isaac, Georgis; Leveque, Nathalie; Smith, Richard D.; Metz, Thomas O.

2011-04-12T23:59:59.000Z

273

Historical literature review on waste classification and categorization  

SciTech Connect (OSTI)

The Staff of the Waste Management Document Library (WMDL), in cooperation with Allen Croff have been requested to provide information support for a historical search concerning waste categorization/classification. This bibliography has been compiled under the sponsorship of Oak Ridge National Laboratory`s Chemical Technology Division to help in Allen`s ongoing committee work with the NRC/NRCP. After examining the search, Allen Croff saw the value of the search being published. Permission was sought from the database providers to allow limited publication (i.e. 20--50 copies) of the search for internal distribution at the Oak Ridge National Laboratory and for Allen Croff`s associated committee. Citations from the database providers who did not grant legal permission for their material to be published have been omitted from the literature review. Some of the longer citations have been included in an abbreviated form in the search to allow the format of the published document to be shortened from approximately 1,400 pages. The bibliography contains 372 citations.

Croff, A.G.; Richmond, A.A.; Williams, J.P.

1995-03-01T23:59:59.000Z

274

System diagnostics using qualitative analysis and component functional classification  

DOE Patents [OSTI]

A method for detecting and identifying faulty component candidates during off-normal operations of nuclear power plants involves the qualitative analysis of macroscopic imbalances in the conservation equations of mass, energy and momentum in thermal-hydraulic control volumes associated with one or more plant components and the functional classification of components. The qualitative analysis of mass and energy is performed through the associated equations of state, while imbalances in momentum are obtained by tracking mass flow rates which are incorporated into a first knowledge base. The plant components are functionally classified, according to their type, as sources or sinks of mass, energy and momentum, depending upon which of the three balance equations is most strongly affected by a faulty component which is incorporated into a second knowledge base. Information describing the connections among the components of the system forms a third knowledge base. The method is particularly adapted for use in a diagnostic expert system to detect and identify faulty component candidates in the presence of component failures and is not limited to use in a nuclear power plant, but may be used with virtually any type of thermal-hydraulic operating system.

Reifman, Jaques (Lisle, IL); Wei, Thomas Y. C. (Downers Grove, IL)

1993-01-01T23:59:59.000Z

275

System diagnostics using qualitative analysis and component functional classification  

DOE Patents [OSTI]

A method for detecting and identifying faulty component candidates during off-normal operations of nuclear power plants involves the qualitative analysis of macroscopic imbalances in the conservation equations of mass, energy and momentum in thermal-hydraulic control volumes associated with one or more plant components and the functional classification of components. The qualitative analysis of mass and energy is performed through the associated equations of state, while imbalances in momentum are obtained by tracking mass flow rates which are incorporated into a first knowledge base. The plant components are functionally classified, according to their type, as sources or sinks of mass, energy and momentum, depending upon which of the three balance equations is most strongly affected by a faulty component which is incorporated into a second knowledge base. Information describing the connections among the components of the system forms a third knowledge base. The method is particularly adapted for use in a diagnostic expert system to detect and identify faulty component candidates in the presence of component failures and is not limited to use in a nuclear power plant, but may be used with virtually any type of thermal-hydraulic operating system. 5 figures.

Reifman, J.; Wei, T.Y.C.

1993-11-23T23:59:59.000Z

276

Updating the US Hydrologic Classification: An Approach to Clustering and Stratifying Ecohydrologic Data  

SciTech Connect (OSTI)

Hydrologic classifications unveil the structure of relationships among groups of streams with differing stream flow and provide a foundation for drawing inferences about the principles that govern those relationships. Hydrologic classes provide a template to describe ecological patterns, generalize hydrologic responses to disturbance, and stratify research and management needs applicable to ecohydrology. We developed two updated hydrologic classifications for the continental US using two streamflow datasets of varying reference standards. Using only reference-quality gages, we classified 1715 stream gages into 12 classes across the US. By including more streamflow gages (n=2618) in a separate classification, we increased the dimensionality (i.e. classes) and hydrologic distinctiveness within regions at the expense of decreasing the natural flow standards (i.e. reference quality). Greater numbers of classes and higher regional affiliation within our hydrologic classifications compared to that of the previous US hydrologic classification (Poff, 1996) suggested that the level of hydrologic variation and resolution was not completely represented in smaller sample sizes. Part of the utility of classification systems rests in their ability classify new objects and stratify analyses. We constructed separate random forests to predict hydrologic class membership based on hydrologic indices or landscape variables. In addition, we provide an approach to assessing potential outliers due to hydrologic alteration based on class assignment. Departures from class membership due to disturbance take into account multiple hydrologic indices simultaneously; thus, classes can be used to determine if disturbed streams are functioning within the realm of natural hydrology.

McManamay, Ryan A [ORNL; Bevelhimer, Mark S [ORNL; Kao, Shih-Chieh [ORNL

2013-01-01T23:59:59.000Z

277

A study of supervised classification of Hipparcos variable stars using PCA and Support Vector Machines  

E-Print Network [OSTI]

We report on the automated classification of Hipparcos variable stars by a supervised classification algorithm known as Support Vector Machines. The dataset comprised about 3200 stars, each characterized by 51 features. These are the B-V and V-I colours, the skewness of the lightcurve, the median subtracted 10-percentiles and forty bins from the Fourier envelope of the lightcurve. We also tested whether the classification performance can be improved by using the most significant principal components calculated from this dataset. We show that the overall classification performance (as measured by the fraction of true positives) on the original dataset is of the order of 62%. For about 9 of the 18 different variability classes, the classification accuracy is significantly larger than 60% (up to 98%). Introducing principal components does not significantly improve this result. We further find that many of the different variability classes are not very distinct and possibly poorly defined, i.e. there exists a considerable class overlap. It is concluded that this `contamination' of the template set implies minimum errors and thus degrades the overall performance.

P. G. Willemsen; L. Eyer

2007-12-18T23:59:59.000Z

278

Quiz # 4, STAT 383, Prof. Suman Sanyal, March 25, 2009 Q10 (Page 301). Each of the following is a confidence interval for = true average  

E-Print Network [OSTI]

@clarkson.edu #12;Q12 (Page 302). Heavy-metal pollution of various ecosystem is a serious environmen- tal threat

Sanyal, Suman

279

Quiz # 7, STAT 383, Prof. Suman Sanyal, April 8, 2009 (Q2, Page 354) To decide whether the pipe welds in a nuclear power plant meet  

E-Print Network [OSTI]

welds in a nuclear power plant meet specifications, a random sample of welds is to be selected : Ķ nuclear power plants is to determine if welds

Sanyal, Suman

280

An Extraction Method for the Characterization of the Fuzzy Rule Based Classification Systems' Behavior using Data Complexity  

E-Print Network [OSTI]

be considered a new trend in the use of FRBCSs in pattern recognition. No data complexity metrics have beenAn Extraction Method for the Characterization of the Fuzzy Rule Based Classification Systems Abstract-- When dealing with problems using Fuzzy Rule Based Classification Systems it is difficult to know

Granada, Universidad de

Note: This page contains sample records for the topic "understood sanyal classification" 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

Biomedical Image Classification with Random Subwindows and Decision Trees Raphael Maree, Pierre Geurts, Justus Piater, and Louis Wehenkel  

E-Print Network [OSTI]

Biomedical Image Classification with Random Subwindows and Decision Trees Rapha¬®el Mar¬īee, Pierre Abstract In this paper, we address a problem of biomedical image classification that involves the automatic is to build a model that will be able to predict accurately the class of new, unseen images. Biomedical

Wehenkel, Louis

282

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 48, NO. 9, SEPTEMBER 2010 3521 An End-to-End Error Model for Classification  

E-Print Network [OSTI]

and for the development of robust classification methods using existing SAR instruments. Index Terms--Calibration, image-to-End Error Model for Classification Methods Based on Temporal Change or Polarization Ratio of SAR Intensities a synthetic aperture radar (SAR) intensity ratio as a classification feature. The two SAR intensities involved

Paris-Sud XI, Université de

283

Journal of Machine Learning Research 11 (2010) 491-516 Submitted 3/09; Revised 8/09; Published 2/10 Classification Using Geometric Level Sets  

E-Print Network [OSTI]

classification, an efficient scheme is developed using a logarithmic number of decision functions in the number/10 Classification Using Geometric Level Sets Kush R. Varshney KRV@MIT.EDU Alan S. Willsky WILLSKY@MIT.EDU Laboratory: Ulrike von Luxburg Abstract A variational level set method is developed for the supervised classification

Willsky, Alan S.

284

T.T.T.Nguyen, G.Armitage, A Survey of Techniques for Internet Traffic Classification using Machine Learning A Survey of Techniques for Internet Traffic  

E-Print Network [OSTI]

of their various business goals. Traffic classification may be a core part of automated intrusion detection systemsT.T.T.Nguyen, G.Armitage, A Survey of Techniques for Internet Traffic Classification using Machine Learning A Survey of Techniques for Internet Traffic Classification using Machine Learning Thuy T.T. Nguyen

Armitage, Grenville

285

Classification of "Quaternionic" Bloch-bundles: Topological Insulators of type AII  

E-Print Network [OSTI]

We provide a classification of type AII topological insulators in dimension d=1,2,3,4. Our analysis is based on the construction of a topological invariant, the FKMM-invariant, which completely classifies "Quaternionic" vector bundles (a.k.a. "symplectic" vector bundles) in dimension dtopological invariant.

Giuseppe De Nittis; Kiyonori Gomi

2014-04-23T23:59:59.000Z

286

MULTISCALE RANDOM PROJECTIONS FOR COMPRESSIVE CLASSIFICATION Marco F. Duarte,r  

E-Print Network [OSTI]

of sam- pling and compression [1, 2]. CS enables the design of new kinds of compressive imaging systems ratio test; in the case of image classification, it exploits the fact that a set of images of a fixed- quires compressive image projections, we achieve high clas- sification rates using many fewer

287

Introduction Inverting Construction Y1 Results Classification of Linear Codes with Prescribed  

E-Print Network [OSTI]

Introduction Inverting Construction Y1 Results Classification of Linear Codes with Prescribed / 14 #12;Introduction Inverting Construction Y1 Results Introduction Motivation Gaps between lower with automorphism of order 7! ­ joint work with G. Nebe) Inspired by Y. Edel, J. Bierbrauer, Inverting construction

Dettweiler, Michael

288

The evaluation of an analytical protocol for the determination of substances in waste for hazard classification  

E-Print Network [OSTI]

1 The evaluation of an analytical protocol for the determination of substances in waste for hazard The classification of waste as hazardous could soon be assessed in Europe using largely the hazard properties of its knowledge of the component constituents of a given waste will therefore be necessary. An analytical protocol

Boyer, Edmond

289

Seismic interpretation and classification of mud volcanoes of the South Caspian Basin, offshore Azerbaijan.  

E-Print Network [OSTI]

Basin. A 2D seismic grid in southeastern offshore Azerbaijan is used to define the areal distribution of mud volcanoes and to make a classification of the mud volcanoes based on characteristic seismic features. As a result detailed database for each...

Yusifov, Mehdi Zahid

2005-11-01T23:59:59.000Z

290

A CLASSIFICATION OF QUANTUM GL (2, C)'S CHRISTIAN OHN  

E-Print Network [OSTI]

A CLASSIFICATION OF QUANTUM GL (2, C)'S CHRISTIAN OHN Abstract.We show that the two-parameter standard quantum GL(2, C) (ex- cept for roots of unity) and the Jordanian quantum GL(2, C) have the "sa* *me" representation theory as the (ordinary) group GL(2, C

Ohn, Christian

291

A CLASSIFICATION OF QUANTUM GL(2, C)'S CHRISTIAN OHN  

E-Print Network [OSTI]

A CLASSIFICATION OF QUANTUM GL(2, C)'S CHRISTIAN OHN Abstract. We show that the two-parameter standard quantum GL(2, C) (ex- cept for roots of unity) and the Jordanian quantum GL(2, C) have the "same" representation theory as the (ordinary) group GL(2, C), and that they are the only quantum groups

Ohn, Christian

292

ARKTOS: An Intelligent System for SAR Sea Ice Image Classification Leen-Kiat Soh1  

E-Print Network [OSTI]

in meteorology and in global climate studies. For example, the thickness of sea ice influences the heat fluxARKTOS: An Intelligent System for SAR Sea Ice Image Classification Leen-Kiat Soh1 , Costas sea ice image analysis named ARKTOS (Advanced Reasoning using Knowledge for Typing Of Sea ice). ARKTOS

Kansas, University of

293

A Fuzzy Neural Network Approach Based on Dirichlet Tesselations for Nearest Neighbor Classification of  

E-Print Network [OSTI]

fuzzy sets to pattern classification. 1 Introduction Several models have been developed during the last­mail: andreas@theseas.ntua.gr Abstract A neural network classifier using fuzzy set representation of pattern this synergistic combination to building efficient pattern classifiers [5, 7, 9], as the application of fuzzy sets

Likas, Aristidis

294

Class-dependent rough-fuzzy granular space, dispersion index and classification  

E-Print Network [OSTI]

granular computing Soft computing Pattern recognition Remote sensing a b s t r a c t A new rough-fuzzy model for pattern classification based on granular computing is described in the present article. In this model, we propose the formulation of class-dependent granules in fuzzy environment. Fuzzy membership

Pal, Sankar Kumar

295

Classification of melanoma using tree structured wavelet Sachin V. Patwardhan a  

E-Print Network [OSTI]

method of developing tree structures utilizing the maximum channel energy criteria with a fixed energyClassification of melanoma using tree structured wavelet transforms Sachin V. Patwardhan a , Atam P. Dhawan a, *, Patricia A. Relue b a Department of Electrical and Computer Engineering, New Jersey

Relue, Patricia

296

Quasi-stationary states and a classification of the range of pair interactions  

SciTech Connect (OSTI)

Systems of long-range interacting particles present typically 'quasi-stationary' states (QSS). Investigating their lifetime for a generic pair interaction V(r{yields}{infinity}){approx}1/r{sup {gamma}} we give a classification of the range of the interactions according to the dynamical properties of the system.

Gabrielli, A. [Istituto dei Sistemi Complessi (ISC), CNR, Via dei Taurini 19, Rome (Italy); Joyce, M. [Laboratoire de Physique Nucleaire et Hautes Energies, Universite Pierre et Marie Curie (France); Marcos, B. [Laboratoire J.-A. Dieudonne, Universite de Nice-Sophia Antipolis (France)

2011-03-24T23:59:59.000Z

297

Material Classification By Drilling Diana LaBelle, John Bares, Illah Nourbakhsh  

E-Print Network [OSTI]

Material Classification By Drilling Diana LaBelle, John Bares, Illah Nourbakhsh Robotics Institute based on the physical parameters of a roof bolting drill. This paper presents our methodology, as well as early results based on drilling experiments conducted in the laboratory using a custom poured concrete

Nourbakhsh, Illah

298

Integrating an automatic classification method into the medical image retrieval process  

E-Print Network [OSTI]

the performance of the University at Buffalo Medical Text and Images Retrieval System (UBMedTIRS). This paper classification process was performed using the Image Retrieval for Medical Application (IRMA) codes3 employed to acquire the image such as x-ray, ultrasound, magnetic resonance measurement, nuclear medicine

Ruiz, Miguel E.

299

Coarse-grained Classification of Web Sites by Their Structural Properties  

E-Print Network [OSTI]

Coarse-grained Classification of Web Sites by Their Structural Properties Christoph Lindemann properties which reflect the functionality of a Web site. These structural properties consider the size, the organization, the composition of URLs, and the link structure of Web sites. Opposed to previous work, we

Lindemann, Christoph

300

Classification of hyperspectral images by tensor modeling and additive morphological decomposition  

E-Print Network [OSTI]

. AMD defines a scale-space decomposition for multivariate images without any loss of information. AMD`emes, MINES Paristech, France Abstract Pixel-wise classification in high-dimensional multivariate images is modeled as a tensor structure and tensor principal components analysis is compared as dimensional

Boyer, Edmond

Note: This page contains sample records for the topic "understood sanyal classification" 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

Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation,  

E-Print Network [OSTI]

--Canonical Correlation Analysis (CCA) is a well-known technique for finding the correlations between two sets1 Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis Liang Sun, Shuiwang Ji, Student Member, IEEE, and Jieping Ye, Member, IEEE Abstract

Ye, Jieping

302

K-Centroids-Based Supervised Classification of Texture Images using the SIRV modeling  

E-Print Network [OSTI]

analysis have shown the interest to use jointly scale-space decomposi- tion and stochastic modeling its impact on classification performances, the geometry of the cluster in the feature space should on scale-space decomposition, for the modeling of spatial dependencies characterizing the texture image

Boyer, Edmond

303

Classification of transportation packaging and dry spent fuel storage system components according to importance to safety  

SciTech Connect (OSTI)

This report provides a graded approach for classification of components used in transportation packaging and dry spent fuel storage systems. This approach provides a method for identifying, the classification of components according to importance to safety within transportation packagings and dry spent fuel storage systems. Record retention requirements are discussed to identify the documentation necessary to validate that the individual components were fabricated in accordance with their assigned classification. A review of the existing regulations pertaining to transportation packagings and dry storage systems was performed to identify current requirements The general types of transportation packagings and dry storage systems were identified. Discussions were held with suppliers and fabricators of packagings and storage systems to determine current practices. The methodology used in this report is based on Regulatory Guide 7.10, Establishing Quality Assurance Programs for Packaging Used in the Transport of Radioactive Material. This report also includes a list of generic components for each of the general types of transportation packagings and spent fuel storage systems. The safety importance of each component is discussed, and a classification category is assigned.

McConnell, J.W., Jr; Ayers, A.L. Jr; Tyacke, M.J. [Lockheed Idaho Technologies Co., Idaho Falls, ID (United States)

1996-02-01T23:59:59.000Z

304

Bag-of-Visual-Words Models for Adult Image Classification and Filtering Thomas Deselaers1  

E-Print Network [OSTI]

types of images are allowed. In the literature, different porn image filtering tech- niques were features for porn image classification are pre- sented and used in a retrieval/nearest neighbour clas model to discriminate between different classes of content-type. 2 Porn Image Identification For porn

Deselaers, Thomas

305

Investigating the effects of scale in MRF texture classification Scott Blunsden1, Louis Atallah2  

E-Print Network [OSTI]

Investigating the effects of scale in MRF texture classification Scott Blunsden1, Louis Atallah2 1 School of Informatics, University of Edinburgh, s.j.blunsden@sms.ed.ac.uk 2 The British University in Dubai/ University of Edinburgh, PO Box 502216, Dubai, UAE, latallah@inf.ed.ac.uk Keywords

Atallah, Louis

306

Chimera: Large-Scale Classification using Machine Learning, Rules, and Crowdsourcing  

E-Print Network [OSTI]

Chimera: Large-Scale Classification using Machine Learning, Rules, and Crowdsourcing Chong Sun1 has been published on how this is done in practice. In this paper we describe Chimera, our solution solutions cease to work. We describe how Chimera employs a combination of learning, rules (created by in

Doan, AnHai

307

Toward a Text Classification System for the Quality Assessment of Software Requirements Written in  

E-Print Network [OSTI]

in Natural Language Olga Ormandjieva Department of Computer Science and Software Engineering ConcordiaToward a Text Classification System for the Quality Assessment of Software Requirements Written and Software Engineering Concordia University Montreal, Canada kosseim@cse.concordia.ca Ishrar Hussain

Kosseim, Leila

308

M-FISH IMAGE REGISTRATION AND CLASSIFICATION Yu-Ping Wang  

E-Print Network [OSTI]

M-FISH IMAGE REGISTRATION AND CLASSIFICATION Yu-Ping Wang School of Computing and Engineering hybridization (M-FISH) imaging is a recently developed cytogenetic technique for cancer diagnosis and research on genetic disorders. By simultaneously viewing the multiple-labeled specimens in different color channels, M-FISH

Poirazi, Yiota

309

Automated classification of A/E/C web content R. Amor & K. Xu  

E-Print Network [OSTI]

purely on the search terms entered by the user. This means that the web pages which are found are often search en- gine. The premise behind this approach is that it is possible to accurately identify then a user searching for content in a particular area (e.g. by specifying a classification code

Amor, Robert

310

Semi-automatic classification of bird vocalizations using spectral peak tracks  

E-Print Network [OSTI]

migratory birds in the vicinity of wind turbine generators NWCC, 2004 , and ornithological measurements for aircraft bird strike avoidance, will require real time classification in the presence of noise and other by the investigator. They applied this method to vocalizations from two bird species recorded in a low noise

Maher, Robert C.

311

A Hybrid Classification Approach based on FCA and Emerging Patterns -An application for the  

E-Print Network [OSTI]

, a molecule showing an abnormally elevated expression in cancer disease [1]. Activation of this receptor can on pattern mining and can be used to characterize classes of objects w.r.t. a priori labels. In this paper and in the development of cancer. Keywords: Formal Concept Analysis, supervised classification, unsu- pervised

Paris-Sud XI, Université de

312

TOPOLOGICAL RAMSEY SPACES FROM FRAISSE CLASSES, RAMSEY-CLASSIFICATION THEOREMS, AND INITIAL STRUCTURES IN THE  

E-Print Network [OSTI]

STRUCTURES IN THE TUKEY TYPES OF P-POINTS NATASHA DOBRINEN, JOS¬īE G. MIJARES, AND TIMOTHY TRUJILLO Dedicated properties. The Ramsey-classification theorems are applied to classify the structure of the Tukey types of all ultrafilters Tukey reducible to the associated ultrafilter. Furthermore, the structure

Dobrinen, Natasha

313

Protein Classification Artificial Neural System: A filter program for database search  

SciTech Connect (OSTI)

A neural network classification method has been developed as an alternative approach to the large database search/organization problem. The system, termed Protein Classification Artificial Neural System (ProCANS), is implemented on a Cray Y-MP8/864 supercomputer for rapid superfamily classification of unknown proteins based on the information content of the neural interconnections. The system employs an n-gram hashing function for sequence encoding and modular back-propagation networks for classification. The system was developed with the first 2,724 entries in 690 superfamilies of the annotated PIR (Protein Identification Resource) protein sequence database. Three prediction sets were used to evaluate the system performance. The first consists of 651 annotated entries randomly chosen from the 690 superfamilies. The second set consists of 482 unclassified entries from the preliminary PIR database, whose superfamilies were identified by the fasta, blastp and sp database search methods. The third set is a subset of data set 2 with only superfamilies of more than 20 entries. At a low cut-off score of 0.01, the sensitivity is 92, 82 and 100%, respectively, for the three prediction sets. At a high cut-off score of 0.9, on the other hand, a close to 100% specificity is achieved with a reduced sensitivity.

Wu, C.H.; Wang, C.C.; Yazdanpanahi, I. [Univ. of Texas Health Center, Tyler, TX (United States)

1993-12-31T23:59:59.000Z

314

MAS 07 Multi-Class SVM for Forestry Classification MAS 07.1 Overview  

E-Print Network [OSTI]

MAS 07 Multi-Class SVM for Forestry Classification MAS 07.1 Overview In this project, we propose (IFN). We will show one example on a national forest near Sedan (in France), and compare our result binary SVMs. In this project we use the One-Against-All (OAA) scheme, which consists of building one SVM

California at Los Angeles, University of

315

Classification of instability modes in a model of aluminium reduction cells with a uniform magnetic field  

E-Print Network [OSTI]

(sodium aluminium fluoride) by an electric current of 350-500kA, which passes vertically down fromClassification of instability modes in a model of aluminium reduction cells with a uniform magnetic reduction cells in the presence of a uniform, vertical, background magnetic field is presented

316

Discriminative Illumination: Per-Pixel Classification of Raw Materials based on Optimal Projections of Spectral BRDF  

E-Print Network [OSTI]

Discriminative Illumination: Per-Pixel Classification of Raw Materials based on Optimal Projections training samples, after projecting to which, the spectral reflectance of different materials are maximally--is learned from training samples, after projecting to which, the spectral BRDFs of different materials can

Gu, Jinwei

317

University Policy No: BP3315 POLICY ON UNIVERSITY OF Classification: External Relations  

E-Print Network [OSTI]

1 University Policy No: BP3315 POLICY ON UNIVERSITY OF Classification: External Relations VICTORIA Editorial Change: Mandated Review: May 27, 2020 PURPOSE 1.00 The purpose of this policy is to establish") as the University's art Museum. DEFINITIONS For the purposes of this policy: 2.00 University refers specifically

Victoria, University of

318

CLASSIFICATION: Social: Anthropology TITLE: Kusunda: an Indo-Pacific language in Nepal  

E-Print Network [OSTI]

CLASSIFICATION: Social: Anthropology TITLE: Kusunda: an Indo-Pacific language in Nepal AUTHORS,247 1 #12;Kusunda: an Indo-Pacific language in Nepal 2 ABSTRACT: The Kusunda people of central Nepal both a linguistic and genetic perspective. #12;Kusunda: an Indo-Pacific language in Nepal 3 The Kusunda

Wang, William Shi-Yuan

319

Lightweight Detection and Classification for Wireless Sensor Networks in Realistic Environments  

E-Print Network [OSTI]

too complex for energy-and-cost-effective WSN nodes. This study explores how to design efficient sensing and classification al- gorithms that achieve reliable sensing performance on energy-and- cost network system. Moreover, a sen- sor node must be energy efficient. As a res

Batson, Alan

320

J. Phys. III France 2 (1992) 1925-1941 OCTOBER 1992, PAGE 1925 Classification  

E-Print Network [OSTI]

J. Phys. III France 2 (1992) 1925-1941 OCTOBER 1992, PAGE 1925 Classification Physics Abstracts 05) a thermally radiative or non-radiative ambient sink and (iii) two energy converters. The first converter (RH) transforms the energy of the black-body radiation into heat, while the second one (HW) (which has a non

Boyer, Edmond

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


321

Evaluation of Gender Classification Methods on Thermal and Near-infrared Face Images  

E-Print Network [OSTI]

Evaluation of Gender Classification Methods on Thermal and Near-infrared Face Images Cunjian Chen, the possibility of deducing gender from face images obtained in the near-infrared (NIR) and thermal (THM) spectra technologies, thermal and near-infrared images are beginning to be used in face- related applications

Ross, Arun Abraham

322

Self-learning IP Traffic Classification based on Statistical Flow Characteristics  

E-Print Network [OSTI]

and intrusion detection. The most common identification technique based on the inspection of `known port numbers or encrypted traffic. The authors of [1] propose signature-based methods to classify P2P traffic. AlthoughSelf-learning IP Traffic Classification based on Statistical Flow Characteristics Sebastian Zander1

Zander, Sebastian

323

Enhancing Mobile Object Classification Using Geo-referenced Maps and Evidential Grids  

E-Print Network [OSTI]

Enhancing Mobile Object Classification Using Geo-referenced Maps and Evidential Grids Marek Kurdej, geo-referenced maps, mobile perception, prior knowledge, evidential occupancy grid, au- tonomous, Julien Moras, Vīeronique Cherfaoui, Philippe Bonnifait Abstract-- Evidential grids have recently shown

Paris-Sud XI, Universitť de

324

CLASSIFICATION OF SUMMARIZED VIDEOS USING HIDDEN MARKOV MODELS ON COMPRESSED CHROMATICITY  

E-Print Network [OSTI]

1 CLASSIFICATION OF SUMMARIZED VIDEOS USING HIDDEN MARKOV MODELS ON COMPRESSED CHROMATICITY Science Simon Fraser University Vancouver, B.C., CANADA ABSTRACT As digital libraries and video databases grow, we need methods to assist us in the synthesis and analysis of digital video. Since

Drew, Mark S.

325

Wavelengths, Energy Level Classifications, and Energy Levels for the Spectrum of Neutral Mercury  

E-Print Network [OSTI]

Wavelengths, Energy Level Classifications, and Energy Levels for the Spectrum of Neutral Mercury E of neutral mercury Hg I for both the single isotope 198 Hg and for mercury in its natural isotopic abundance of neutral mercury for both 198 Hg and the natural isotopic mixture. Tabular data for 105 classified lines

Magee, Joseph W.

326

Classification of Annual Great Lakes Ice Cycles: Winters of 19732002* RAYMOND A. ASSEL  

E-Print Network [OSTI]

Classification of Annual Great Lakes Ice Cycles: Winters of 1973≠2002* RAYMOND A. ASSEL National (Manuscript received 12 July 2004, in final form 13 June 2005) ABSTRACT Annual seasonal average ice cover from 1973 to 2002 and associated dates of first ice, last ice, and ice duration are presented and discussed

327

Satellite SAR Remote Sensing of Great Lakes Ice Cover, Part 2. Ice Classification and Mapping  

E-Print Network [OSTI]

Satellite SAR Remote Sensing of Great Lakes Ice Cover, Part 2. Ice Classification and Mapping (freshwater) ice types using the Jet Propulsion Laboratory C-band scatterometer, together with surface-based ice physical characterization measurements and environmental parameters, were acquired concurrently

328

Proteomic and genomic data classification using decision tree based ensemble methods  

E-Print Network [OSTI]

Proteomic and genomic data classification using decision tree based ensemble methods Application Benelux Bioinformatics Conference, 2005 Geurts et al. (University of Liège) Proteomic and genomic data To appear in Bioinformatics (2005). Geurts et al. (University of Liège) Proteomic and genomic data

Wehenkel, Louis

329

Multi-class Biomedical Term Recognition and Classification Using Search Raul Rodriguez-Esteban  

E-Print Network [OSTI]

Multi-class Biomedical Term Recognition and Classification Using Search Engines Raul Rodriguez-Esteban Columbia University, USA Abstract: The talk will have two parts: (1) Automatic curation of biomedical text mined data. Biomedical text mined data has a degree of quality sometimes unsuitable for real

Baeza-Yates, Ricardo

330

Using Process Knowledge to Manage Disposal Classification of Ion-Exchange Resin - 13566  

SciTech Connect (OSTI)

It has been previously shown by EPRI [1] that Class B and C resins represent a small portion by volume of the overall generation of radioactively contaminated resins. In fact, if all of the resins were taken together the overall classification would meet Class A disposal requirements. Lowering the classification of the ion exchange resins as they are presented for disposal provides a path for minimizing the amount of waste stored. Currently there are commercial options for blending wastes from various generators for Class A disposal in development. The NRC may have by this time introduced changes and clarifications to the Branch Technical Position (BTP) on Concentration Averaging and Encapsulation [2] that may ultimately add more flexibility to what can be done at the plant level. The BTP has always maintained that mixtures of resins that are combined for ALARA purposes or operational efficiency can be classified on the basis of the mixture. This is a point often misinterpreted and misapplied. This paper will address options that can be exercised by the generator that can limit B and C waste generation by more rigorous tracking of generation and taking advantage of the normal mix of wastes. This can be achieved through the monitoring of reactor coolant chemistry data and coupled with our knowledge of radionuclide production mechanisms. This knowledge can be used to determine the overall accumulation of activity in ion-exchange resins and provides a 'real-time' waste classification determination of the resin and thereby provide a mechanism to reduce the production of waste that exceeds class A limits. It should be noted that this alternative approach, although rarely used in a nuclear power plant setting, is acknowledged in the original BTP on classification [3] as a viable option for determining radionuclide inventories for classification of waste. Also included is a discussion of an examination performed at the Byron plant to estimate radionuclide content in the final waste stream from upstream sampling of reactor coolant and fuel pool water. (authors)

Bohnsack, Jonathan N.; James, David W. [DW James Consulting, LLC 855 Village Center Drive No. 330 North Oaks, MN 55127 (United States)] [DW James Consulting, LLC 855 Village Center Drive No. 330 North Oaks, MN 55127 (United States)

2013-07-01T23:59:59.000Z

331

Group classification of systems of non-linear reaction-diffusion equations with general diffusion matrix. II. Generalized Turing systems  

E-Print Network [OSTI]

Group classification of systems of two coupled nonlinear reaction-diffusion equation with a diagonal diffusion matrix is carried out. Symmetries of diffusion systems with singular diffusion matrix and additional first order derivative terms are described.

A. G. Nikitin

2007-07-20T23:59:59.000Z

332

Electronic nose with a new feature reduction method and a multi-linear classifier for Chinese liquor classification  

SciTech Connect (OSTI)

An electronic nose (e-nose) was designed to classify Chinese liquors of the same aroma style. A new method of feature reduction which combined feature selection with feature extraction was proposed. Feature selection method used 8 feature-selection algorithms based on information theory and reduced the dimension of the feature space to 41. Kernel entropy component analysis was introduced into the e-nose system as a feature extraction method and the dimension of feature space was reduced to 12. Classification of Chinese liquors was performed by using back propagation artificial neural network (BP-ANN), linear discrimination analysis (LDA), and a multi-linear classifier. The classification rate of the multi-linear classifier was 97.22%, which was higher than LDA and BP-ANN. Finally the classification of Chinese liquors according to their raw materials and geographical origins was performed using the proposed multi-linear classifier and classification rate was 98.75% and 100%, respectively.

Jing, Yaqi; Meng, Qinghao, E-mail: qh-meng@tju.edu.cn; Qi, Peifeng; Zeng, Ming; Li, Wei; Ma, Shugen [Tianjin Key Laboratory of Process Measurement and Control, Institute of Robotics and Autonomous Systems, School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072 (China)] [Tianjin Key Laboratory of Process Measurement and Control, Institute of Robotics and Autonomous Systems, School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072 (China)

2014-05-15T23:59:59.000Z

333

Classification of semantic relations in different syntactic structures in medical text using the MeSH hierarchy  

E-Print Network [OSTI]

Two different classification algorithms are evaluated in recognizing semantic relationships of different syntactic compounds. The compounds, which include noun- noun, adjective-noun, noun-adjective, noun-verb, and verb-noun, ...

Bhooshan, Neha

2005-01-01T23:59:59.000Z

334

Classification of heart valve single leg separations from acoustic clinical measurements  

SciTech Connect (OSTI)

Our system classifies the condition (intact or single leg separated) of in vivo Bjork-Shiley Convexo-Concave (BSCC) heart valves by processing acoustic measurements of clinical heart valve opening sounds. We use spectral features as inputs to a two-stage classifier, which first classifies individual heart beats, then classifies valves. Performance is measured by probability of detection and probability of false alarm, and by confidence intervals on the probability of correct classification. The novelty of the work lies in the application of advanced techniques to real heart valve data, and extensions of published algorithms that enhance their applicability. We show that even when given a very small number of training samples, the classifier can achieve a probability of correct classification of 100%.

Clark, G.A.; Bowman, B.C.; Boruta, N.; Thomas, G.H.; Jones, H.E.; Buhl, M.R.

1994-05-01T23:59:59.000Z

335

LED-Induced Fluorescence System for Tea Classification and Quality Assessment  

E-Print Network [OSTI]

A fluorescence system is developed by using several light emitting diodes (LEDs) with different wavelengths as excitation light sources. The fluorescence detection head consists of multi LED light sources and a multimode fiber for fluorescence collection, where the LEDs and the corresponding filters can be easily chosen to get appropriate excitation wavelengths for different applications. By analyzing fluorescence spectra with the principal component analysis method, the system is utilized in the classification of four types of green tea beverages and two types of black tea beverages. Qualities of the Xihu Longjing tea leaves of different grades, as well as the corresponding liquid tea samples, are studied to further investigate the ability and application of the system in the evaluation of classification/quality of tea and other foods.

Dong, Yongjiang; Mei, Liang; Feng, Chao; Yan, Chunsheng; He, Sailing

2013-01-01T23:59:59.000Z

336

Classification of electromagnetic resonances in finite inhomogeneous three-dimensional structures  

E-Print Network [OSTI]

We present a simple and unified classification of macroscopic electromagnetic resonances in finite arbitrarily inhomogeneous isotropic dielectric 3D structures situated in free space. By observing the complex-plane dynamics of the spatial spectrum of the volume integral operator as a function of angular frequency and constitutive parameters we identify and generalize all the usual resonances, including complex plasmons, real laser resonances in media with gain, and real quasi-static resonances in media with negative permittivity and gain.

Budko, N V; Budko, Neil V.; Samokhin, Alexander B.

2005-01-01T23:59:59.000Z

337

The phylogeny and classification of the Gronotoma group s.l. of genera (Hymenoptera: Figitidae: Eucoilinae)  

E-Print Network [OSTI]

) and Lawrence Mound (from the Natural History Museum). Little did I know how important that female specimen of Ganaspidiam pusillae Weld would be in the construction of this thesis. Ironically, it was on this same trip that I realized a future studying.... Only two major bodies of work have attempted to classify all of the eucoiline genera (Dalla Torre and Kieffer, 1910; Weld, 1952), and for the most part, eucoiline classification schemes have resulted in a great deal of chaos (discussed in Nordlander...

Buffington, Matthew Louis

2000-01-01T23:59:59.000Z

338

Intelligent feature selection techniques for pattern classification of Lamb wave signals  

SciTech Connect (OSTI)

Lamb wave interaction with flaws is a complex, three-dimensional phenomenon, which often frustrates signal interpretation schemes based on mode arrival time shifts predicted by dispersion curves. As the flaw severity increases, scattering and mode conversion effects will often dominate the time-domain signals, obscuring available information about flaws because multiple modes may arrive on top of each other. Even for idealized flaw geometries the scattering and mode conversion behavior of Lamb waves is very complex. Here, multi-mode Lamb waves in a metal plate are propagated across a rectangular flat-bottom hole in a sequence of pitch-catch measurements corresponding to the double crosshole tomography geometry. The flaw is sequentially deepened, with the Lamb wave measurements repeated at each flaw depth. Lamb wave tomography reconstructions are used to identify which waveforms have interacted with the flaw and thereby carry information about its depth. Multiple features are extracted from each of the Lamb wave signals using wavelets, which are then fed to statistical pattern classification algorithms that identify flaw severity. In order to achieve the highest classification accuracy, an optimal feature space is required but itís never known a priori which features are going to be best. For structural health monitoring we make use of the fact that physical flaws, such as corrosion, will only increase over time. This allows us to identify feature vectors which are topologically well-behaved by requiring that sequential classes ďline upĒ in feature vector space. An intelligent feature selection routine is illustrated that identifies favorable class distributions in multi-dimensional feature spaces using computational homology theory. Betti numbers and formal classification accuracies are calculated for each feature space subset to establish a correlation between the topology of the class distribution and the corresponding classification accuracy.

Hinders, Mark K.; Miller, Corey A. [College of William and Mary, Department of Applied Science, Williamsburg, Virginia 23187-8795 (United States)

2014-02-18T23:59:59.000Z

339

Groenewold-Moyal product, ?*-cohomology, and classification of translation-invariant non-commutative structures  

SciTech Connect (OSTI)

The theory of ?*-cohomology is studied thoroughly and it is shown that in each cohomology class there exists a unique 2-cocycle, the harmonic form, which generates a particular Groenewold-Moyal star product. This leads to an algebraic classification of translation-invariant non-commutative structures and shows that any general translation-invariant non-commutative quantum field theory is physically equivalent to a Groenewold-Moyal non-commutative quantum field theory.

Varshovi, Amir Abbass [School of Mathematics, Institute for Research in Fundamental Sciences (IPM) and School of Physics, Institute for Research in Fundamental Sciences (IPM), Tehran (Iran, Islamic Republic of)] [School of Mathematics, Institute for Research in Fundamental Sciences (IPM) and School of Physics, Institute for Research in Fundamental Sciences (IPM), Tehran (Iran, Islamic Republic of)

2013-07-15T23:59:59.000Z

340

The development of a signal processing network for a real-time Arctic sea ice classification system  

E-Print Network [OSTI]

THE DEVELOPMENT OF A SIGNAL PROCESSING NETWORK FOR A REAL-TIME ARCTIC SEA ICE CLASSIFICATION SYSTEM A Thesis by WILLIAM DOUGLAS NORDHAUS Submitted to the Graduate College of Texas A)M University in partial fulfillment of the requirement... for the degree of MASTER OF SCIENCE August 1973 Major Subject: Electrical Engineering THE DEVELOPMENT OF A SIGNAL PROCESSING NETWORK FOR A REAL-TIME ARCTIC SEA ICE CLASSIFICATION SYSTEM A Thesis by William Douglas Nordhaus Approved as to style...

Nordhaus, William D

1973-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "understood sanyal classification" 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

Recursive Partitioning Analysis for New Classification of Patients With Esophageal Cancer Treated by Chemoradiotherapy  

SciTech Connect (OSTI)

Background: The 7th edition of the American Joint Committee on Cancer staging system does not include lymph node size in the guidelines for staging patients with esophageal cancer. The objectives of this study were to determine the prognostic impact of the maximum metastatic lymph node diameter (ND) on survival and to develop and validate a new staging system for patients with esophageal squamous cell cancer who were treated with definitive chemoradiotherapy (CRT). Methods: Information on 402 patients with esophageal cancer undergoing CRT at two institutions was reviewed. Univariate and multivariate analyses of data from one institution were used to assess the impact of clinical factors on survival, and recursive partitioning analysis was performed to develop the new staging classification. To assess its clinical utility, the new classification was validated using data from the second institution. Results: By multivariate analysis, gender, T, N, and ND stages were independently and significantly associated with survival (p < 0.05). The resulting new staging classification was based on the T and ND. The four new stages led to good separation of survival curves in both the developmental and validation datasets (p < 0.05). Conclusions: Our results showed that lymph node size is a strong independent prognostic factor and that the new staging system, which incorporated lymph node size, provided good prognostic power, and discriminated effectively for patients with esophageal cancer undergoing CRT.

Nomura, Motoo, E-mail: excell@hkg.odn.ne.jp [Department of Radiology, Kansai Medical University, Hirakata (Japan) [Department of Radiology, Kansai Medical University, Hirakata (Japan); Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya (Japan); Department of Radiation Oncology, Aichi Cancer Center Hospital, Nagoya (Japan); Shitara, Kohei [Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya (Japan)] [Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya (Japan); Kodaira, Takeshi [Department of Radiation Oncology, Aichi Cancer Center Hospital, Nagoya (Japan)] [Department of Radiation Oncology, Aichi Cancer Center Hospital, Nagoya (Japan); Kondoh, Chihiro; Takahari, Daisuke; Ura, Takashi [Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya (Japan)] [Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya (Japan); Kojima, Hiroyuki; Kamata, Minoru [Department of Radiology, Kansai Medical University, Hirakata (Japan)] [Department of Radiology, Kansai Medical University, Hirakata (Japan); Muro, Kei [Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya (Japan)] [Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya (Japan); Sawada, Satoshi [Department of Radiology, Kansai Medical University, Hirakata (Japan)] [Department of Radiology, Kansai Medical University, Hirakata (Japan)

2012-11-01T23:59:59.000Z

342

Context-based automated defect classification system using multiple morphological masks  

DOE Patents [OSTI]

Automatic detection of defects during the fabrication of semiconductor wafers is largely automated, but the classification of those defects is still performed manually by technicians. This invention includes novel digital image analysis techniques that generate unique feature vector descriptions of semiconductor defects as well as classifiers that use these descriptions to automatically categorize the defects into one of a set of pre-defined classes. Feature extraction techniques based on multiple-focus images, multiple-defect mask images, and segmented semiconductor wafer images are used to create unique feature-based descriptions of the semiconductor defects. These feature-based defect descriptions are subsequently classified by a defect classifier into categories that depend on defect characteristics and defect contextual information, that is, the semiconductor process layer(s) with which the defect comes in contact. At the heart of the system is a knowledge database that stores and distributes historical semiconductor wafer and defect data to guide the feature extraction and classification processes. In summary, this invention takes as its input a set of images containing semiconductor defect information, and generates as its output a classification for the defect that describes not only the defect itself, but also the location of that defect with respect to the semiconductor process layers.

Gleason, Shaun S. (Knoxville, TN); Hunt, Martin A. (Knoxville, TN); Sari-Sarraf, Hamed (Lubbock, TX)

2002-01-01T23:59:59.000Z

343

Processing of prosthetic heart valve sounds for single leg separation classification  

SciTech Connect (OSTI)

Efforts are concentrated on the sounds corresponding to the heart valve opening cycle. Valve opening and closing acoustics present additional information about the outlet strut condition---the structural component implicated in valve failure. The importance of the opening sound for single leg separation detection/classification is based on the fact that as the valve opens, the disk passively hits the outlet strut. The opening sounds thus yield direct information about outlet strut condition with minimal amount of disturbance caused by the energy radiated from the disk. Hence the opening sound is a very desirable acoustic signal to extract. Unfortunately, the opening sounds have much lower signal levels relative to the closing sounds and therefore noise plays a more significant role than during the closing event. Because of this it is necessary to screen the sounds for outliers in order to insure a high sensitivity of classification. Because of the sharp resonances appearing in the corresponding spectrum, a parametric processing approach is developed based on an autoregressive model which was selected to characterize the sounds emitted by the Bjork--Shiley convexo--concave (BSCC) valve during opening cycle. First the basic signals and the extraction process used to create an ensemble of heart valve sounds are briefly discussed. Next, a {ital beat} {ital monitor} capable of rejecting beats that fail to meet an acceptance criteria based on their spectral content is developed. Various approaches that have been utilized to enhance the screened data and produce a reliable {ital heart} {ital valve} {ital spectrogram} which displays the individual sounds (power) as a function of beat number and temporal frequency are discussed. Once estimated, the spectrogram and associated parameters are used to develop features supplied to the various classification schemes. Finally, future work aimed at even further signal enhancement and improved classifier performance is discussed.

Candy, J.V.; Jones, H.E. [University of California, Lawrence Livermore National Laboratory, P.O. Box 808, L-495, Livermore, California 94550 (United States)

1995-06-01T23:59:59.000Z

344

Classification of heart valve sounds from experiments in an anechoic water tank  

SciTech Connect (OSTI)

In vivo studies in both sheep and humans were plagued by a number of problems including movement artifacts, biological noise, low signal-to-noise ratio (SNR), chest-wall reverberation, and limited bandwidth recordings as discussed by [1]. To overcome these problems it was decided to record heart valve sounds under controlled conditions deep in an anechoic water tank, free from reverberation noise. The main goal of this experiment was to obtain measurements of ''pure'' heart valve sounds free of the scattering effects of the body. Experiments were conducted at the Transdec facility in San Diego [2]. We used a high quality hydrophone together with a wide-band data acquisition system [2]. We recorded sounds from 100 repetitions of the opening-closing cycles on each of 50 different heart valves, including 21 SLS valves and 29 intact valves. The power spectrum of the opening and closing phases of each cycle were calculated and outlier spectra removed as described by Candy [2]. In this report, we discuss the results of our classification of the heart valve sound measurements. The goal of this classification task was to apply the fundamental classification algorithms developed for the clinical data in 1994 and 1996 to the measurements from the anechoic water tank. From the beginning of this project, LLNL's responsibility has been to process and classify the heart valve sounds. For this experiment, however, we processed both the opening sounds and closing sounds for comparison purposes. The results of this experiment show that the classifier did not perform well because of low signal-to-noise ratio and excessive variability in signal power from beat-to-beat for a given valve.

Axelrod, M C; Clark, G A; Scott, D

1999-06-01T23:59:59.000Z

345

Classification of heart valve sounds from experiments in an anechoic water tank  

SciTech Connect (OSTI)

In vivo studies in both sheep and humans were plagued by a number of problems including movement artifacts, biological noise, low signal-to-noise ratio (SNR), chest-wall reverberation, and limited bandwidth recordings as discussed by [1]. To overcome these problems it was decided to record heart valve sounds under controlled conditions deep in an anechoic water tank, free from reverberation noise, including surface reflections. Experiments were conducted in a deep water tank at the Transdec facility in San Diego, which satisfies these requirements. The Transdec measurements are free of reverberations, but not totally free of acoustic and electrical noise. We used a high quality hydrophone together with a wide-band data acquisition system [2]. We recorded sounds from 100 repetitions of the opening-closing cycles on each of 50 different heart valves, including 21 SLS valves and 29 intact valves. The power spectrum of the opening and closing phases of each cycle were calculated and outlier spectra removed as described by Candy [2]. In this report, we discuss the results of our classification of the heart valve sound measurements. The goal of this classification task was to apply the fundamental classification algorithms developed for the clinical data in 1994 and 1996 to the measurements from the anechoic water tank. From the beginning of this project, LLNL's responsibility has been to process and classify the heart valve opening sounds. For this experiment, however, we processed both the opening sounds and closing sounds for comparison purposes. The results of this experiment show that the classifier did not perform well. We believe this is because of low signal-to-noise ratio and excessive variability in signal power from beat-to-beat for a given valve.

Axelrod, M C; Clark, G A; Scott, D

1999-06-01T23:59:59.000Z

346

The ESO Nearby Abell Cluster Survey VIII. Morphological and spectral classification of galaxies  

E-Print Network [OSTI]

We have determined the morphological types of 2295 galaxies from the ESO Nearby Abell Cluster Survey (ENACS) from CCD images made with the Dutch telescope on La Silla. The reliability of our classification appears to be quite comparable to that of other classifiers. Recalibration of the ENACS spectral classification shows that early- and late- type galaxies can be distinguished from their spectra with 83% reliability. Ellipticals and S0 galaxies cannot be distinguished spectrally, while spectral classification of late spirals has a reliability of 70%. We derive average pseudo-colors and linestrengths from the ENACS spectra for the galaxies of different morphological types, considering bright (M -20) subsets of the galaxies without emission lines (non-ELG) separately. We find a strong and significant correlation between the average color and the average strength of the metal absorption lines. The average metallicity decreases and the average color gets bluer towards later Hubble type. In each morphological class the faint galaxies are bluer and less metal-rich than the bright ones. This extends the well-established color-magnitude relation of early-type galaxies to (late) spirals. Bright early spirals may, on average, have somewhat stronger H-delta absorption than the other galaxies, which could be due to recent starformation. The galaxies with emission lines (ELG) have a bluer spectral continuum than the non-ELG, and the amount of blueing hardly depends on morphological type. The fraction of ELG depends strongly on morphological type but it varies very little with projected distance from the cluster center.

T. Thomas; P. Katgert

2005-10-10T23:59:59.000Z

347

Classification of coryneform bacteria based on morphological characteristics and numerical taxonomy  

E-Print Network [OSTI]

for the degree of MASTER OF SCIENCE August 1971 Ma)or Subject: Food Technology CLASSIFICATION OF CORYNEFOPM BACTL'RIA BASED ONMOiRPHOLOGICAL CHARACTFRISTICS iQlD NUMiERICAL TAXONOMY A Thesis by PAUL WESLEY JUDKINS Approved as to st le and content by... by utilizing numerical analysis and visual characteristics. Marine isolates used in the study were gram- positive, catalase-positive, non-sporeforming, pleomorphic rods and were compared with type cultures of the Cor ebacteriaceae to determine similarities...

Judkins, Paul Wesley

1971-01-01T23:59:59.000Z

348

Tight bounds on the size of neural networks for classification problems  

SciTech Connect (OSTI)

This paper relies on the entropy of a data-set (i.e., number-of-bits) to prove tight bounds on the size of neural networks solving a classification problem. First, based on a sequence of geometrical steps, the authors constructively compute an upper bound of O(mn) on the number-of-bits for a given data-set - here m is the number of examples and n is the number of dimensions (i.e., R{sup n}). This result is used further in a nonconstructive way to bound the size of neural networks which correctly classify that data-set.

Beiu, V. [Los Alamos National Lab., NM (United States); Pauw, T. de [Universite Catholique de Louvain, Louvain-la-Neuve (Belgium). Dept. de Mathematique

1997-06-01T23:59:59.000Z

349

Understanding Classification  

Energy Savers [EERE]

n n d d e e r r s s t t a a n n d d i i n n g g C C l l a a s s s s i i f f i i c c a a t t i i o o n n O O f f f f i i c c e e o o f f C C l l a a s s s s i i f f i i c c a a t t...

350

Understanding Classification  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartment of EnergyofProject is on Track| DepartmentPinakin PatelCooperation |Russiann n d

351

AUTOMATED CLASSIFICATION OF VARIABLE STARS IN THE ASTEROSEISMOLOGY PROGRAM OF THE KEPLER SPACE MISSION  

SciTech Connect (OSTI)

We present the first results of the application of supervised classification methods to the Kepler Q1 long-cadence light curves of a subsample of 2288 stars measured in the asteroseismology program of the mission. The methods, originally developed in the framework of the CoRoT and Gaia space missions, are capable of identifying the most common types of stellar variability in a reliable way. Many new variables have been discovered, among which a large fraction are eclipsing/ellipsoidal binaries unknown prior to launch. A comparison is made between our classification from the Kepler data and the pre-launch class based on data from the ground, showing that the latter needs significant improvement. The noise properties of the Kepler data are compared to those of the exoplanet program of the CoRoT satellite. We find that Kepler improves on CoRoT by a factor of 2-2.3 in point-to-point scatter.

Blomme, J.; Debosscher, J.; De Ridder, J.; Aerts, C. [Instituut voor Sterrenkunde, Katholieke Universiteit Leuven, Celestijnenlaan 200D, B-3001 Leuven (Belgium); Gilliland, R. L. [Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218 (United States); Christensen-Dalsgaard, J.; Kjeldsen, H. [Department of Physics and Astronomy, Aarhus University, DK-8000 Aarhus C (Denmark); Brown, T. M. [Las Cumbres Observatory Global Telescope, Goleta, CA 93117 (United States); Borucki, W. J.; Koch, D. [NASA Ames Research Center, MS 244-30, Moffett Field, CA 94035 (United States); Jenkins, J. M. [SETI Institute/NASA Ames Research Center, MS 244-30, Moffett Field, CA 94035 (United States); Kurtz, D. W. [Jeremiah Horrocks Institute of Astrophysics, University of Central Lancashire, PR1 2HE (United Kingdom); Stello, D.; Derekas, A. [Sydney Institute for Astronomy (SIfA), School of Physics, University of Sydney, NSW 2006 (Australia); Stevens, I. R. [School of Physics and Astronomy, University of Birmingham, Edgbaston B15 2TT (United Kingdom); Suran, M. D. [Astronomical Institute of the Romanian Academy, Str. Cutitul de Argint 5, RO 40557, Bucharest, RO (Romania)

2010-04-20T23:59:59.000Z

352

Analysis of Quantum Particle Automata for Solving the Density Classification Problem  

E-Print Network [OSTI]

To advance our understanding of Quantum Cellular Automata in problem solving through parallel and distributed computing, this research quantized the density classification problem and adopted the Quantum Particle Automata (QPA) to solve the quantized problem. In order to solve this problem, the QPA needed a unitary operator to carry out the QPA evolution and a boundary partition to make the classification decisions. We designed a Genetic Algorithm (GA) to search for the unitary operators and the boundary partitions to classify the density of binary inputs with length 5. The GA was able to find more than one unitary operator that can transform the QPA in ways such that when the particle was measured, it was more likely to collapse to the basis states that were on the correct side of the boundary partition for the QPA to decide if the binary input had majority density 0 or majority density 1. We analyzed these solutions and found that the QPA evolution dynamic was driven by a particular parameter $\\theta$ of the unitary operator: a small $\\theta$ gave the particle small mass hence fast evolution while large $\\theta$ had the opposite effect. While these results are encouraging, scaling these solutions for binary inputs of arbitrary length of $n$ requires additional analysis, which we will investigate in our future work.

Tina Yu; Radel Ben-Av

2015-01-16T23:59:59.000Z

353

Multi-class Fruit Classification using RGB-D Data for Indoor Robots Lixing Jiang, Artur Koch, Sebastian A. Scherer and Andreas Zell  

E-Print Network [OSTI]

Multi-class Fruit Classification using RGB-D Data for Indoor Robots Lixing Jiang, Artur Koch to classify fruits under varying pose and lighting conditions tailored for an object recognition system information for the classification task. The unified approach is validated using two multi-class RGB-D fruit

Zell, Andreas

354

This paper proposes a method for classification and discrimina-tion of textures based on the energies of image subbands. We  

E-Print Network [OSTI]

, the dimension of the discriminant space and number of energy mea- sures used for classification. We hopeAbstract This paper proposes a method for classification and discrimina- tion of textures based on the energies of image subbands. We show that even with this relatively simple feature set, effective texture

Chang, Shih-Fu

355

Facial Expression Classification Using RBF AND Back-Propagation Neural Networks R.Q.Feitosa1,2  

E-Print Network [OSTI]

of Computer Engineering e-mail: [raul, marley]@ele.puc -rio.br, tuler@inf.puc-rio.br, [diogo, sam. The classification system is based on attributes extracted from human faces images using the principal component analysis (PCA) technique. Well-framed images were used in order to simplify the face detection on the image

356

course is recommended; i.e., freshman-100, sophomore-200, junior-300, and senior-400. The 500 classification  

E-Print Network [OSTI]

Development works with clients both on and off-campus, to develop and dissemi- nate educational programs-credit programs. The CEU is a recognized unit of measurement of a non-credit continuing education experience even classification indicates courses of graduate performance-level which are generally for graduate students

Gering, Jon C.

357

Hierarchical object-based classification of ultra-high-resolution digital mapping camera (DMC) imagery for rangeland mapping and assessment  

E-Print Network [OSTI]

and is in the process of changing from film to digital aerial image acquisition. Cur- rently, only broad land useHierarchical object-based classification of ultra-high-resolution digital mapping camera (DMC, MSC3JER, NMSU, Las Cruces, NM 88003-8003, USA Ultra-high-resolution digital aerial imagery has great

358

Ice Classification in the Southern Ocean Using ERS-1 Scatterometer David S.Early, David G. Long  

E-Print Network [OSTI]

Ice Classification in the Southern Ocean Using ERS-1 Scatterometer Data David S.Early, David G for classifying Southern Ocean sea ice from enhanced resolution ERS-1 scat- terometer images is presented of a measure of the anisotropy, is used to further help delineate sea ice types. Ice 'l'ype Backscatter feange

Long, David G.

359

Journal of Coastal Research | 20 | 1 | 155-165 | West Palm Beach, Florida I Winter 2004 l Classification of Coasts  

E-Print Network [OSTI]

- dertaking, a branch of typology that calls for multivariate analysis. Secondly, the specific user needs must Classification of Coasts Rhodes W. Fairbridge NASA Goddard Institute for Space Studies New York, NY 10025, U, constrained by two headlands? The use of GIS, Geo- graphical Information Systems, is a methodology well suited

360

A classification theorem on Fano bundles Roberto Mu~noz, Gianluca Occhetta, and Luis E. Sola Conde  

E-Print Network [OSTI]

A classification theorem on Fano bundles Roberto Mu~noz, Gianluca Occhetta, and Luis E. Sol¬īa Conde;2 ROBERTO MU~NOZ, GIANLUCA OCCHETTA, AND LUIS E. SOL¬īA CONDE (P2) Q3 = LG(1, 3) G(1, 3), (P3) P3 = G(1, 4)Q

Occhetta, Gianluca

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


361

3D Local Binary Pattern for PET image classification by SVM Application to early Alzheimer disease diagnosis  

E-Print Network [OSTI]

3D Local Binary Pattern for PET image classification by SVM Application to early Alzheimer disease of Fluorodeoxyglucose PET scans might become a possibility to make early diagnosis more efficient. Temporal and parietal lobes are the main location of medical findings. We have clues that in PET images these lobes contain

Paris-Sud XI, Université de

362

Toward a Classification of the Ranks and Border Ranks of All (3,3,3) Trilinear Forms  

E-Print Network [OSTI]

are then interpreted geometrically as elements of certain secant varieties of Veronese and Segre varieties. Using this, I describe some of the techniques used to arrive at the classification of all (3,3,3) presented by Kok Omn Ng. The main result of this thesis is a...

Allums, Derek

2011-08-08T23:59:59.000Z

363

2008 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 21, NO. 4, APRIL 2012 SpectralSpatial Classification of Hyperspectral  

E-Print Network [OSTI]

­Spatial Classification of Hyperspectral Data Based on a Stochastic Minimum Spanning Forest Approach Kévin Bernard, Yuliya is proposed. In particular, the notion of sto- chastic minimum spanning forest (MSF) is introduced spanning forest (MSF), multiple classifiers, stochastic. I. INTRODUCTION HYPERSPECTRAL imaging can

Boyer, Edmond

364

Postprint of article in Journal of Systems and Software 85 (4): 960973 (2012) EClass: an execution classification approach to improving  

E-Print Network [OSTI]

: an execution classification approach to improving the energy-efficiency of software via machine learning Avenue, Hong Kong A B S T R A C T Energy efficiency at the software level has gained much attention energy them- selves. 1 Introduction Unlocking energy efficiency in performing activities is a universal

365

ROBUST SPEECH / MUSIC CLASSIFICATION IN AUDIO DOCUMENTS Julien PINQUIER, Jean-Luc ROUAS and Regine ANDR E-OBRECHT  

E-Print Network [OSTI]

- efficients are extracted and energy is computed in 40 per- ceptual channels. This energy is then filteredROBUST SPEECH / MUSIC CLASSIFICATION IN AUDIO DOCUMENTS Julien PINQUIER, Jean-Luc ROUAS and R energy. The relevance of these features is studied in a first experiment based on a development corpus

Pinquier, Julien

366

Joint Segmentation and Classification of Human Actions in Video Minh Hoai Zhen-Zhong Lan Fernando De la Torre  

E-Print Network [OSTI]

Joint Segmentation and Classification of Human Actions in Video Minh Hoai Zhen-Zhong Lan Fernando@gmail.com, ftorre@cs.cmu.edu Abstract Automatic video segmentation and action recognition has been a long-standing problem in computer vision. Much work in the literature treats video segmentation and action recognition

De la Torre, Fernando

367

IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 11, NO. 4, JULY 2007 443 Segmentation and Classification of Dot  

E-Print Network [OSTI]

Yeshaya Abstract--Signal segmentation and classification of fluorescence in situ hybridization (FISH classifier (NBC) or a multilayer perceptron is accomplished. When applied to a FISH image database, dot hybridization (FISH), image segmentation, multilayer perceptron (MLP), naive Bayesian classifier (NBC). I

Lerner, Boaz

368

Abstract-This paper deals to the suitability of Complexity Measure of ECG signals for the classification of cardiac  

E-Print Network [OSTI]

Abstract- This paper deals to the suitability of Complexity Measure of ECG signals algorithms used in both surface ECG monitors and in implantable cardiovertor/defibrillators rely on simple to ECG classification mainly because of the poor results obtained. However, one of the advantages

Ayesta, Urtzi

369

Non-parallel semi-supervised classification based on kernel spectral Siamak Mehrkanoon and Johan A. K. Suykens  

E-Print Network [OSTI]

-parallel hyper- planes were determined via solving two generalized eigen- value problem and the method is termedNon-parallel semi-supervised classification based on kernel spectral clustering Siamak Mehrkanoon and Johan A. K. Suykens Abstract-- In this paper, a non-parallel semi-supervised al- gorithm based on kernel

370

Classification of $SU(4) \\times SU(2) \\times U(1)$ Heterotic-String Models  

E-Print Network [OSTI]

The free fermionic construction of the heterotic string in four dimensions produced a large space of three generation models with the underlying $SO(10)$ embedding of the Standard Model states. The $SO(10)$ symmetry is broken to a subgroup directly at the string scale. Over the past few years free fermionic models with the Pati-Salam and flipped $SU(5)$ subgroups have been classified. In this paper we extend this classification program to models in which the $SO(10)$ symmetry is broken at the string level to the $SU(4)\\times SU(2)_L\\times U(1)_R$ (SU421) subgroup. The subspace of free fermionic models that we consider corresponds to symmetric ${\\mathbb{Z}}_2 \\times {\\mathbb{Z}}_2$ orbifolds. We provide a general argument that shows that this class of SU421 free fermionic models cannot produce viable three generation models.

Alon E. Faraggi; Hasan Sonmez

2014-12-09T23:59:59.000Z

371

Classification of Kac representations in the logarithmic minimal models LM(1,p)  

E-Print Network [OSTI]

For each pair of positive integers r,s, there is a so-called Kac representation (r,s) associated with a Yang-Baxter integrable boundary condition in the lattice approach to the logarithmic minimal model LM(1,p). We propose a classification of these representations as finitely-generated submodules of Feigin-Fuchs modules, and present a conjecture for their fusion algebra which we call the Kac fusion algebra. The proposals are tested using a combination of the lattice approach and applications of the Nahm-Gaberdiel-Kausch algorithm. We also discuss how the fusion algebra may be extended by inclusion of the modules contragredient to the Kac representations, and determine polynomial fusion rings isomorphic to the conjectured Kac fusion algebra and its contragredient extension.

Jorgen Rasmussen

2010-12-23T23:59:59.000Z

372

Classification of magnetized star--planet interactions: bow shocks, tails, and inspiraling flows  

E-Print Network [OSTI]

Close-in exoplanets interact with their host stars gravitationally as well as via their magnetized plasma outflows. The rich dynamics that arises may result in distinct observable features. Our objective is to study and classify the morphology of the different types of interaction that can take place between a giant close-in planet (a Hot Jupiter) and its host star, based on the physical parameters that characterize the system. We perform 3D magnetohydrodynamic numerical simulations to model the star--planet interaction, incorporating a star, a Hot Jupiter, and realistic stellar and planetary outflows. We explore a wide range of parameters and analyze the flow structures and magnetic topologies that develop. Our study suggests the classification of star--planet interactions into four general types, based on the relative magnitudes of three characteristic length scales that quantify the effects of the planetary magnetic field, the planetary outflow, and the stellar gravitational field in the interaction region...

Matsakos, Titos; KŲnigl, Arieh

2015-01-01T23:59:59.000Z

373

Validation and Simplification of the Radiation Therapy Oncology Group Recursive Partitioning Analysis Classification for Glioblastoma  

SciTech Connect (OSTI)

Purpose: Previous recursive partitioning analysis (RPA) of patients with malignant glioma (glioblastoma multiforme [GBM] and anaplastic astrocytoma [AA]) produced six prognostic groups (I-VI) classified by six factors. We sought here to determine whether the classification for GBM could be improved by using an updated Radiation Therapy Oncology Group (RTOG) GBM database excluding AA and by considering additional baseline variables. Methods and Materials: The new analysis considered 42 baseline variables and 1,672 GBM patients from the expanded RTOG glioma database. Patients receiving radiation only were excluded such that all patients received radiation+carmustine. 'Radiation dose received' was replaced with 'radiation dose assigned.' The new RPA models were compared with the original model by applying them to a test dataset comprising 488 patients from six other RTOG trials. Fitness of the original and new models was evaluated using explained variation. Results: The original RPA model explained more variations in survival in the test dataset than did the new models (20% vs. 15%) and was therefore chosen for further analysis. It was reduced by combining Classes V and VI to produce three prognostic classes (Classes III, IV, and V+VI), as Classes V and VI had indistinguishable survival in the test dataset. The simplified model did not further improve performance (explained variation 18% vs. 20%) but is easier to apply because it involves only four variables: age, performance status, extent of resection, and neurologic function. Applying this simplified model to the updated GBM database resulted in three distinct classes with median survival times of 17.1, 11.2, and 7.5 months for Classes III, IV, and V+VI, respectively. Conclusions: The final model, the simplified original RPA model combining Classes V and VI, resulted in three distinct prognostic groups defined by age, performance status, extent of resection, and neurologic function. This classification will be used in future RTOG GBM trials.

Li Jing [University of Texas MD Anderson Cancer Center, Houston, TX (United States); Wang Meihua; Won, Minhee [RTOG Statistical Center, Philadelphia, PA (United States); Shaw, Edward G. [Wake Forest University School of Medicine, Winston-Salem, NC (United States); Coughlin, Christopher [Federal Bureau of Prisons, Butner, NC (United States); Curran, Walter J. [Emory Clinic, Atlanta, GA (United States); Mehta, Minesh P., E-mail: mehta@humonc.wisc.edu [University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI (United States)

2011-11-01T23:59:59.000Z

374

Solid waste bin detection and classification using Dynamic Time Warping and MLP classifier  

SciTech Connect (OSTI)

Highlights: ē Solid waste bin level detection using Dynamic Time Warping (DTW). ē Gabor wavelet filter is used to extract the solid waste image features. ē Multi-Layer Perceptron classifier network is used for bin image classification. ē The classification performance evaluated by ROC curve analysis. - Abstract: The increasing requirement for Solid Waste Management (SWM) has become a significant challenge for municipal authorities. A number of integrated systems and methods have introduced to overcome this challenge. Many researchers have aimed to develop an ideal SWM system, including approaches involving software-based routing, Geographic Information Systems (GIS), Radio-frequency Identification (RFID), or sensor intelligent bins. Image processing solutions for the Solid Waste (SW) collection have also been developed; however, during capturing the bin image, it is challenging to position the camera for getting a bin area centralized image. As yet, there is no ideal system which can correctly estimate the amount of SW. This paper briefly discusses an efficient image processing solution to overcome these problems. Dynamic Time Warping (DTW) was used for detecting and cropping the bin area and Gabor wavelet (GW) was introduced for feature extraction of the waste bin image. Image features were used to train the classifier. A Multi-Layer Perceptron (MLP) classifier was used to classify the waste bin level and estimate the amount of waste inside the bin. The area under the Receiver Operating Characteristic (ROC) curves was used to statistically evaluate classifier performance. The results of this developed system are comparable to previous image processing based system. The system demonstration using DTW with GW for feature extraction and an MLP classifier led to promising results with respect to the accuracy of waste level estimation (98.50%). The application can be used to optimize the routing of waste collection based on the estimated bin level.

Islam, Md. Shafiqul, E-mail: shafique@eng.ukm.my [Dept. of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangore (Malaysia); Hannan, M.A., E-mail: hannan@eng.ukm.my [Dept. of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangore (Malaysia); Basri, Hassan [Dept. of Civil and Structural Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangore (Malaysia); Hussain, Aini; Arebey, Maher [Dept. of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangore (Malaysia)

2014-02-15T23:59:59.000Z

375

Robust Machine Learning Applied to Astronomical Datasets I: Star-Galaxy Classification of the SDSS DR3 Using Decision Trees  

E-Print Network [OSTI]

We provide classifications for all 143 million non-repeat photometric objects in the Third Data Release of the Sloan Digital Sky Survey (SDSS) using decision trees trained on 477,068 objects with SDSS spectroscopic data. We demonstrate that these star/galaxy classifications are expected to be reliable for approximately 22 million objects with r machine learning environment Data-to-Knowledge and supercomputing resources enabled extensive investigation of the decision tree parameter space. This work presents the first public release of objects classified in this way for an entire SDSS data release. The objects are classified as either galaxy, star or nsng (neither star nor galaxy), with an associated probability for each class. To demonstrate how to effectively make use of these classifications, we perform several important tests. First, we detail selection criteria within the probability space defined by the three classes to extract samples of stars and galaxies to a given completeness and efficiency. Second, we investigate the efficacy of the classifications and the effect of extrapolating from the spectroscopic regime by performing blind tests on objects in the SDSS, 2dF Galaxy Redshift and 2dF QSO Redshift (2QZ) surveys. Given the photometric limits of our spectroscopic training data, we effectively begin to extrapolate past our star-galaxy training set at r ~ 18. By comparing the number counts of our training sample with the classified sources, however, we find that our efficiencies appear to remain robust to r ~ 20. As a result, we expect our classifications to be accurate for 900,000 galaxies and 6.7 million stars, and remain robust via extrapolation for a total of 8.0 million galaxies and 13.9 million stars. [Abridged

Nicholas M. Ball; Robert J. Brunner; Adam D. Myers; David Tcheng

2006-06-21T23:59:59.000Z

376

INFRARED CLASSIFICATION AND LUMINOSITIES FOR DUSTY ACTIVE GALACTIC NUCLEI AND THE MOST LUMINOUS QUASARS  

SciTech Connect (OSTI)

Mid-infrared spectroscopic measurements from the Infrared Spectrometer (IRS) on Spitzer are given for 125 hard X-ray active galactic nuclei (AGNs; 14-195 keV) from the Swift Burst Alert Telescope (BAT) sample and for 32 AGNs with black hole masses (BHMs) from reverberation mapping. The 9.7 {mu}m silicate feature in emission or absorption defines an infrared AGN classification describing whether AGNs are observed through dust clouds, indicating that 55% of the BAT AGNs are observed through dust. The mid-infrared dust continuum luminosity is shown to be an excellent indicator of intrinsic AGN luminosity, scaling closely with the hard X-ray luminosity, log {nu}L{sub {nu}}(7.8 {mu}m)/L(X) = -0.31 {+-} 0.35, and independent of classification determined from silicate emission or absorption. Dust luminosity scales closely with BHM, log {nu}L{sub {nu}}(7.8 {mu}m) = (37.2 {+-} 0.5) + 0.87 log BHM for luminosity in erg s{sup -1} and BHM in M{sub Sun }. The 100 most luminous type 1 quasars as measured in {nu}L{sub {nu}}(7.8 {mu}m) are found by comparing Sloan Digital Sky Survey (SDSS) optically discovered quasars with photometry at 22 {mu}m from the Wide-Field Infrared Survey Explorer (WISE), scaled to rest frame 7.8 {mu}m using an empirical template determined from IRS spectra. The most luminous SDSS/WISE quasars have the same maximum infrared luminosities for all 1.5 < z < 5, reaching total infrared luminosity L{sub IR} = 10{sup 14.4} L{sub Sun }. Comparing with dust-obscured galaxies from Spitzer and WISE surveys, we find no evidence of hyperluminous obscured quasars whose maximum infrared luminosities exceed the maximum infrared luminosities of optically discovered quasars. Bolometric luminosities L{sub bol} estimated from rest-frame optical or ultraviolet luminosities are compared to L{sub IR}. For the local AGN, the median log L{sub IR}/L{sub bol} = -0.35, consistent with a covering factor of 45% for the absorbing dust clouds. For the SDSS/WISE quasars, the median log L{sub IR}/L{sub bol} = 0.1, with extremes indicating that ultraviolet-derived L{sub bol} can be seriously underestimated even for type 1 quasars.

Weedman, Daniel; Sargsyan, Lusine; Houck, James; Barry, Donald [Astronomy Department, Cornell University, Ithaca, NY 14853 (United States); Lebouteiller, Vianney, E-mail: dweedman@isc.astro.cornell.edu [Laboratoire AIM, CEA/DSM-CNRS-Universite Paris Diderot, DAPNIA/Service d'Astrophysique, Saclay, F-91191 Gif-sur-Yvette Cedex (France)

2012-12-20T23:59:59.000Z

377

EXPLORING THE VARIABLE SKY WITH LINEAR. III. CLASSIFICATION OF PERIODIC LIGHT CURVES  

SciTech Connect (OSTI)

We describe the construction of a highly reliable sample of ?7000 optically faint periodic variable stars with light curves obtained by the asteroid survey LINEAR across 10,000 deg{sup 2} of the northern sky. The majority of these variables have not been cataloged yet. The sample flux limit is several magnitudes fainter than most other wide-angle surveys; the photometric errors range from ?0.03 mag at r = 15 to ?0.20 mag at r = 18. Light curves include on average 250 data points, collected over about a decade. Using Sloan Digital Sky Survey (SDSS) based photometric recalibration of the LINEAR data for about 25 million objects, we selected ?200,000 most probable candidate variables with r < 17 and visually confirmed and classified ?7000 periodic variables using phased light curves. The reliability and uniformity of visual classification across eight human classifiers was calibrated and tested using a catalog of variable stars from the SDSS Stripe 82 region and verified using an unsupervised machine learning approach. The resulting sample of periodic LINEAR variables is dominated by 3900 RR Lyrae stars and 2700 eclipsing binary stars of all subtypes and includes small fractions of relatively rare populations such as asymptotic giant branch stars and SX Phoenicis stars. We discuss the distribution of these mostly uncataloged variables in various diagrams constructed with optical-to-infrared SDSS, Two Micron All Sky Survey, and Wide-field Infrared Survey Explorer photometry, and with LINEAR light-curve features. We find that the combination of light-curve features and colors enables classification schemes much more powerful than when colors or light curves are each used separately. An interesting side result is a robust and precise quantitative description of a strong correlation between the light-curve period and color/spectral type for close and contact eclipsing binary stars (? Lyrae and W UMa): as the color-based spectral type varies from K4 to F5, the median period increases from 5.9 hr to 8.8 hr. These large samples of robustly classified variable stars will enable detailed statistical studies of the Galactic structure and physics of binary and other stars and we make these samples publicly available.

Palaversa, Lovro; Eyer, Laurent; Rimoldini, Lorenzo [Observatoire Astronomique de l'Universitť de GenŤve, 51 chemin des Maillettes, CH-1290 Sauverny (Switzerland); Ivezi?, éeljko; Loebman, Sarah; Hunt-Walker, Nicholas; VanderPlas, Jacob; Westman, David; Becker, Andrew C. [Department of Astronomy, University of Washington, P.O. Box 351580, Seattle, WA 98195-1580 (United States); Ruědjak, Domagoj; Sudar, Davor; Boěi?, Hrvoje [Hvar Observatory, Faculty of Geodesy, Ka?i?eva 26, 10000 Zagreb (Croatia); Galin, Mario [Faculty of Geodesy, Ka?i?eva 26, 10000 Zagreb (Croatia); Kroflin, Andrea; Mesari?, Martina; Munk, Petra; Vrbanec, Dijana [Department of Physics, Faculty of Science, University of Zagreb, Bijeni?ka cesta 32, 10000 Zagreb (Croatia); Sesar, Branimir [Division of Physics, Mathematics, and Astronomy, Caltech, Pasadena, CA 91125 (United States); Stuart, J. Scott [Lincoln Laboratory, Massachusetts Institute of Technology, 244 Wood Street, Lexington, MA 02420-9108 (United States); Srdo?, Gregor, E-mail: lovro.palaversa@unige.ch [Saröoni 90, 51216 Viökovo (Croatia); and others

2013-10-01T23:59:59.000Z

378

SPECTRAL CLASSIFICATION OF THE BRIGHTEST OBJECTS IN THE GALACTIC STAR-FORMING REGION W40  

SciTech Connect (OSTI)

We present high signal-to-noise, moderate resolution (R Almost-Equal-To 2000) near-infrared spectra, as well as 10 {mu}m imaging, for the brightest members of the central stellar cluster in the W40 H II region, obtained using the SpeX and MIRSI instruments at NASA's Infrared Telescope Facility. Using these observations combined with archival Spitzer Space Telescope data, we have determined the spectral classifications, extinction, distances, and spectral energy distributions (SEDs) for the brightest members of the cluster. Of the eight objects observed, we identify four main-sequence (MS) OB stars (one late-O, three early-B), two Herbig Ae/Be stars, and two low-mass young stellar objects (Class II). Strong He I absorption at 1.083 {mu}m in the MS star spectra strongly suggests that at least some of these sources are in fact close binaries. Two out of the four MS stars also show significant infrared excesses typical of circumstellar disks. Extinctions and distances were determined for each MS star by fitting model stellar atmospheres to the SEDs. We estimate a distance to the cluster of between 455 and 535 pc, which agrees well with earlier (but far less precise) distance estimates. We conclude that the late-O star we identify is the dominant source of Lyman continuum luminosity needed to power the W40 H II region and is the likely source of the stellar wind that has blown a large ( Almost-Equal-To 4 pc) pinched-waist bubble observed in wide-field mid-IR images. We also suggest that 3.6 cm radio emission observed from some of the sources in the cluster is likely not due to emission from ultracompact H II regions, as suggested in other work, due to size constraints based on our derived distance to the cluster. Finally, we also present a discussion of the curious source IRS 3A, which has a very strong mid-IR excess (despite its B3 MS classification) and appears to be embedded in a dusty envelope roughly 2700 AU in size.

Shuping, R. Y. [Space Science Institute, Boulder, CO (United States); Vacca, William D. [Universities Space Research Association, Stratospheric Observatory for Infrared Astronomy, NASA Ames Research Center, MS 211-3, Moffett Field, CA 94035 (United States); Kassis, Marc [W. M. Keck Observatory, 65-1120 Mamalahoa Hwy., Kamuela, HI 96743 (United States); Yu, Ka Chun, E-mail: rshuping@spacescience.org [Denver Museum of Nature and Science, 2001 Colorado, Denver, CO 80205-5798 (United States)

2012-10-01T23:59:59.000Z

379

Classification of ISO SWS 01 spectra of proto-planetary nebulae: a search for precursors of planetary nebulae with [WR] central stars  

E-Print Network [OSTI]

We have analyzed ISO SWS 01 observations for 61 proto-planetary nebulae candidates and classified their spectra according to their dominant chemistry. On the basis of our classification and the more general classification of SWS 01 spectra by Kraemer et al. (2002) we discuss the connection between proto-planetary nebulae candidates and planetary nebulae, with emphasis on possible precursors of planetary nebulae with [WR] central stars.

R. Szczerba; G. Stasi{?}ska; N. Si{ů}dmiak; S. K. G{ů}rny

2002-12-10T23:59:59.000Z

380

The XMM large scale structure survey: optical vs. X-ray classifications of active galactic nuclei and the unified scheme  

E-Print Network [OSTI]

Our goal is to characterize AGN populations by comparing their X-ray and optical classifications. We present a sample of 99 spectroscopically identified X-ray point sources in the XMM-LSS survey which are significantly detected in the [2-10] keV band, and with more than 80 counts. We performed an X-ray spectral analysis for all of these 99 X-ray sources. Introducing the fourfold point correlation coefficient, we find only a mild correlation between the X-ray and the optical classifications, as up to 30% of the sources have differing X-ray and optical classifications: on one hand, 10% of the type 1 sources present broad emission lines in their optical spectra and strong absorption in the X-rays. These objects are highly luminous AGN lying at high redshift and thus dilution effects are totally ruled out, their discrepant nature being an intrinsic property. Their X-ray luminosities and redshifts distributions are consistent with those of the unabsorbed X-ray sources with broad emission lines. On the other hand, ...

Garcet, O; Gosset, E; Sprimont, P G; Surdej, J; Borkowski, V; Tajer, M; Pacaud, F; Pierre, M; Chiappetti, L; MacCagni, D; Page, M J; Carrera, F J; Tedds, J A; Mateos, S; Krumpe, M; Contini, T; Corral, A; Ebrero, J; Gavignaud, I; Schwope, A; Le FŤvre, O; Polletta, M; Rosen, S; Lonsdale, C; Watson, M; Borczyk, W; Všisšnen, P

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "understood sanyal classification" from the National Library of EnergyBeta (NLEBeta).
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381

Development of an auditable safety analysis in support of a radiological facility classification  

SciTech Connect (OSTI)

In recent years, U.S. Department of Energy (DOE) facilities commonly have been classified as reactor, non-reactor nuclear, or nuclear facilities. Safety analysis documentation was prepared for these facilities, with few exceptions, using the requirements in either DOE Order 5481.1B, Safety Analysis and Review System; or DOE Order 5480.23, Nuclear Safety Analysis Reports. Traditionally, this has been accomplished by development of an extensive Safety Analysis Report (SAR), which identifies hazards, assesses risks of facility operation, describes and analyzes adequacy of measures taken to control hazards, and evaluates potential accidents and their associated risks. This process is complicated by analysis of secondary hazards and adequacy of backup (redundant) systems. The traditional SAR process is advantageous for DOE facilities with appreciable hazards or operational risks. SAR preparation for a low-risk facility or process can be cost-prohibitive and quite challenging because conventional safety analysis protocols may not readily be applied to a low-risk facility. The DOE Office of Environmental Restoration and Waste Management recognized this potential disadvantage and issued an EM limited technical standard, No. 5502-94, Hazard Baseline Documentation. This standard can be used for developing documentation for a facility classified as radiological, including preparation of an auditable (defensible) safety analysis. In support of the radiological facility classification process, the Uranium Mill Tailings Remedial Action (UMTRA) Project has developed an auditable safety analysis document based upon the postulation criteria and hazards analysis techniques defined in DOE Order 5480.23.

Kinney, M.D. [Roy F. Weston, Inc., Rockville, MD (United States); Young, B. [Dept. of Energy, Albuquerque, NM (United States)

1995-03-01T23:59:59.000Z

382

Classification and grading of design products for the Yucca Mountain project  

SciTech Connect (OSTI)

The US Department of Energy faces some unique challenges in its site characterization effort to determine if Yucca Mountain is suitable to house this nation`s first high-level radioactive waste repository. Facilities are being designed and constructed for both surface-based testing (SBT), which includes drilling a number of test holes and excavating trenches and test pits into the mountain, and the Exploratory Studies Facility (ESF), which will be an extensive underground test laboratory. During construction and testing, the Yucca Mountain Project (YMP) must ensure that the ability to safely store waste for 10,000 yr is not compromised. The YMP has initiated a determination of {open_quotes}important to waste isolation{close_quotes} (ITWI) effort to determine which items and activities are important to the gathering of valid test data and which could have an effect on the natural barriers. Concerns include the potential effects of changing the site`s normal water patterns, introducing foreign materials, damaging the unexcavated rock, etc. The project has now entered into the phase in which the design organizations perform detailed QA classification analyses on their designs and a YMP assessment team reviews those analyses. Raytheon Services Nevada has been responsible for designing, classifying, and grading SBT and the initial ESF systems.

DeKlever, R.C.; Bullock, R.L. [Raytheon Services Nevada, Las Vegas (United States); Verna, B.J. [Department of Energy, Washington, DC (United States)

1993-12-01T23:59:59.000Z

383

Classification of qubit entanglement: SL(2,C) versus SU(2) invariance  

E-Print Network [OSTI]

The role of SU(2) invariants for the classification of multiparty entanglement is discussed and exemplified for the Kempe invariant I_5 of pure three-qubit states. It is found to being an independent invariant only in presence of both W-type entanglement and threetangle. In this case, constant I_5 admits for a wide range of both threetangle and concurrences. Furthermore, the present analysis indicates that an SL^3 orbit of states with equal tangles but continuously varying I_5 must exist. This means that I_5 provides no information on the entanglement in the system in addition to that contained in the tangles (concurrences and threetangle) themselves. Together with the numerical evidence that I_5 is an entanglement monotone this implies that SU(2) invariance or the monotone property are too weak requirements for the characterization and quantification of entanglement for systems of three qubits, and that SL(2,C) invariance is required. This conclusion can be extended to general multipartite systems (including higher local dimension) because the entanglement classes of three-qubit systems appear as subclasses.

A. Osterloh

2008-09-11T23:59:59.000Z

384

Hazard classification for the supercritical water oxidation test bed. Revision 1  

SciTech Connect (OSTI)

A hazard classification of ``routinely accepted by the public`` has been determined for the operation of the supercritical water oxidation test bed at the Idaho National Engineering Laboratory. This determination is based on the fact that the design and proposed operation meet or exceed appropriate national standards so that the risks are equivalent to those present in similar activities conducted in private industry. Each of the 17 criteria for hazards ``routinely accepted by the public,`` identified in the EG and G Idaho, Inc., Safety Manual, were analyzed. The supercritical water oxidation (SCWO) test bed will treat simulated mixed waste without the radioactive component. It will be designed to operate with eight test wastes. These test wastes have been chosen to represent a broad cross-section of candidate mixed wastes anticipated for storage or generation by DOE. In particular, the test bed will generate data to evaluate the ability of the technology to treat chlorinated waste and other wastes that have in the past caused severe corrosion and deposition in SCWO reactors.

Ramos, A.G.

1994-10-01T23:59:59.000Z

385

SSD-Optimized Workload Placement with Adaptive Learning and Classification in HPC Environments  

SciTech Connect (OSTI)

In recent years, non-volatile memory devices such as SSD drives have emerged as a viable storage solution due to their increasing capacity and decreasing cost. Due to the unique capability and capacity requirements in large scale HPC (High Performance Computing) storage environment, a hybrid config- uration (SSD and HDD) may represent one of the most available and balanced solutions considering the cost and performance. Under this setting, effective data placement as well as movement with controlled overhead become a pressing challenge. In this paper, we propose an integrated object placement and movement framework and adaptive learning algorithms to address these issues. Specifically, we present a method that shuffle data objects across storage tiers to optimize the data access performance. The method also integrates an adaptive learning algorithm where real- time classification is employed to predict the popularity of data object accesses, so that they can be placed on, or migrate between SSD or HDD drives in the most efficient manner. We discuss preliminary results based on this approach using a simulator we developed to show that the proposed methods can dynamically adapt storage placements and access pattern as workloads evolve to achieve the best system level performance such as throughput.

Wan, Lipeng [ORNL; Lu, Zheng [The University of Tennessee; Cao, Qing [University of Tennessee, Knoxville (UTK); Wang, Feiyi [ORNL; Oral, H Sarp [ORNL; Settlemyer, Bradley W [ORNL

2014-01-01T23:59:59.000Z

386

The Fundamental Properties of Galaxies and a New Galaxy Classification System  

E-Print Network [OSTI]

We present in this paper a new three-dimensional galaxy classification system designed to account for the diversity of galaxy properties in the nearby universe. To construct this system we statistically analyse a sample of >22,000 galaxies at v<15,000 km/s (z<0.05) with Spearman rank and principal component analyses. Fourteen major galaxy properties are considered, including: Hubble type, size, colour, surface brightness, magnitude, stellar mass, internal velocities, HI gas content, and an index that measures dynamical disturbances. We find, to a high degree, that most galaxy properties are correlated, with in particular Hubble type, colour, and stellar mass all strongly related. We argue that this tight 3-way correlation is a result of evolutionary processes that depend on galaxy mass, as we show that the relation between colour and mass is independent of Hubble type. Various principal component analyses reveal that most of the variation in nearby galaxy properties can be accounted for by eigenvectors dominated by: (i) the scale of a galaxy, such as its stellar mass, (ii) the spectral type, and (iii) the degree of dynamical disturbances. We suggest that these three properties: mass, star formation, and interactions/mergers are the major features that determine a galaxy's physical state, and should be used to classify galaxies. As shown in Conselice (2003), these properties are measurable within the CAS (concentration, asymmetry, clumpiness) structural system, thus providing an efficient mechanism for classifying galaxies in optical light within a physical meaningful framework. We furthermore discuss the fraction and number density of galaxies in the nearby universe as a function of Hubble type, for comparison with higher redshift populations.

Christopher J. Conselice

2006-11-04T23:59:59.000Z

387

A RECOMMENDED PASQUILL-GIFFORD STABILITY CLASSIFICATION METHOD FOR SAFETY BASIS ATMOSPHERIC DISPERSION MODELING AT SRS  

SciTech Connect (OSTI)

Several of the most common methods for estimating Pasquill-Gifford (PG) stability (turbulence) class were evaluated for use in modeling the radiological consequences of SRS accidental releases using the MELCOR Accident Consequence Code System, Ver. 2 (MACCS2). Evaluation criteria included: (1) the ability of the method to represent diffusion characteristics above a predominantly forested landscape at SRS, (2) suitability of the method to provide data consistent with the formulation of the MACCS2 model, and (3) the availability of onsite meteorological data to support implementation of the method The evaluation resulted in a recommendation that PG stability classification for regulatory applications at SRS should be based on measurements of the standard deviation of the vertical component of wind direction fluctuations, {sigma}{sub e}, collected from the 61-m level of the SRS meteorological towers, and processed in full accordance with EPA-454/R-99-005 (EPA, 2000). This approach provides a direct measurement that is fundamental to diffusion and captures explicitly the turbulence generated by both mechanical and buoyant forces over the characteristic surface (forested) of SRS. Furthermore, due to the potentially significant enhancement of horizontal fluctuations in wind direction from the occurrence of meander at night, the use of {sigma}{sub e} will ensure a reasonably conservative estimate of PG stability class for use in dispersion models that base diffusion calculations on a single value of PG stability class. Furthermore, meteorological data bases used as input for MACCS2 calculations should contain hourly data for five consecutive annual periods from the most recent 10 years.

Hunter, C.

2012-03-28T23:59:59.000Z

388

Modeling and identification of parallel nonlinear systems: Structural classification and parameter estimation methods  

SciTech Connect (OSTI)

Structural classification and parameter estimation (SCPE) methods are used for studying single-input single-output (SISO) parallel linear-nonlinear-linear (LNL), linear-nonlinear (LN), and nonlinear-linear (NL) system models from input-output (I-O) measurements. The uniqueness of the I-O mappings (see the definition of the I-O mapping in Section 3-A) of some model structures is discussed. The uniqueness of the I-O mappings (see the definition of the I-O mapping in Section 3-A) of some model structures is discussed. The uniqueness of I-O mappings of different models tells them in what conditions different model structures can be differentiated from one another. Parameter uniqueness of the I-O mapping of a given structural model is also discussed, which tells the authors in what conditions a given model's parameters can be uniquely estimated from I-O measurements. These methods are then generalized so that they can be used to study single-input multi-output (SIMO), multi-input single-output (MISO), as well as multi-input multi-output (MIMO) nonlinear system models. Parameter estimation of the two-input single-output nonlinear system model (denoted as the 2f-structure in 2 cited references), which was left unsolved previously, can now be obtained using the newly derived algorithms. Applications of SCPE methods for modeling visual cortical neurons, system fault detection, modeling and identification of communication networks, biological systems, and natural and artificial neural networks are also discussed. The feasibility of these methods is demonstrated using simulated examples. SCPE methods presented in this paper can be further developed to study more complicated block-structures models, and will therefore have future potential for modeling and identifying highly complex multi-input multi-output nonlinear systems.

Chen, H.W. (Los Alamos National Lab., NM (United States). Biophysics Group M715)

1995-01-01T23:59:59.000Z

389

ACTIVE LEARNING TO OVERCOME SAMPLE SELECTION BIAS: APPLICATION TO PHOTOMETRIC VARIABLE STAR CLASSIFICATION  

SciTech Connect (OSTI)

Despite the great promise of machine-learning algorithms to classify and predict astrophysical parameters for the vast numbers of astrophysical sources and transients observed in large-scale surveys, the peculiarities of the training data often manifest as strongly biased predictions on the data of interest. Typically, training sets are derived from historical surveys of brighter, more nearby objects than those from more extensive, deeper surveys (testing data). This sample selection bias can cause catastrophic errors in predictions on the testing data because (1) standard assumptions for machine-learned model selection procedures break down and (2) dense regions of testing space might be completely devoid of training data. We explore possible remedies to sample selection bias, including importance weighting, co-training, and active learning (AL). We argue that AL-where the data whose inclusion in the training set would most improve predictions on the testing set are queried for manual follow-up-is an effective approach and is appropriate for many astronomical applications. For a variable star classification problem on a well-studied set of stars from Hipparcos and Optical Gravitational Lensing Experiment, AL is the optimal method in terms of error rate on the testing data, beating the off-the-shelf classifier by 3.4% and the other proposed methods by at least 3.0%. To aid with manual labeling of variable stars, we developed a Web interface which allows for easy light curve visualization and querying of external databases. Finally, we apply AL to classify variable stars in the All Sky Automated Survey, finding dramatic improvement in our agreement with the ASAS Catalog of Variable Stars, from 65.5% to 79.5%, and a significant increase in the classifier's average confidence for the testing set, from 14.6% to 42.9%, after a few AL iterations.

Richards, Joseph W.; Starr, Dan L.; Miller, Adam A.; Bloom, Joshua S.; Butler, Nathaniel R.; Berian James, J. [Astronomy Department, University of California, Berkeley, CA 94720-7450 (United States); Brink, Henrik [Dark Cosmology Centre, Juliane Maries Vej 30, 2100 Copenhagen O (Denmark); Long, James P.; Rice, John, E-mail: jwrichar@stat.berkeley.edu [Statistics Department, University of California, Berkeley, CA 94720-7450 (United States)

2012-01-10T23:59:59.000Z

390

A support vector machine classifier reduces interscanner variation in the HRCT classification of regional disease pattern in diffuse lung disease: Comparison to a Bayesian classifier  

SciTech Connect (OSTI)

Purpose: To investigate the effect of using different computed tomography (CT) scanners on the accuracy of high-resolution CT (HRCT) images in classifying regional disease patterns in patients with diffuse lung disease, support vector machine (SVM) and Bayesian classifiers were applied to multicenter data. Methods: Two experienced radiologists marked sets of 600 rectangular 20 Multiplication-Sign 20 pixel regions of interest (ROIs) on HRCT images obtained from two scanners (GE and Siemens), including 100 ROIs for each of local patterns of lungs-normal lung and five of regional pulmonary disease patterns (ground-glass opacity, reticular opacity, honeycombing, emphysema, and consolidation). Each ROI was assessed using 22 quantitative features belonging to one of the following descriptors: histogram, gradient, run-length, gray level co-occurrence matrix, low-attenuation area cluster, and top-hat transform. For automatic classification, a Bayesian classifier and a SVM classifier were compared under three different conditions. First, classification accuracies were estimated using data from each scanner. Next, data from the GE and Siemens scanners were used for training and testing, respectively, and vice versa. Finally, all ROI data were integrated regardless of the scanner type and were then trained and tested together. All experiments were performed based on forward feature selection and fivefold cross-validation with 20 repetitions. Results: For each scanner, better classification accuracies were achieved with the SVM classifier than the Bayesian classifier (92% and 82%, respectively, for the GE scanner; and 92% and 86%, respectively, for the Siemens scanner). The classification accuracies were 82%/72% for training with GE data and testing with Siemens data, and 79%/72% for the reverse. The use of training and test data obtained from the HRCT images of different scanners lowered the classification accuracy compared to the use of HRCT images from the same scanner. For integrated ROI data obtained from both scanners, the classification accuracies with the SVM and Bayesian classifiers were 92% and 77%, respectively. The selected features resulting from the classification process differed by scanner, with more features included for the classification of the integrated HRCT data than for the classification of the HRCT data from each scanner. For the integrated data, consisting of HRCT images of both scanners, the classification accuracy based on the SVM was statistically similar to the accuracy of the data obtained from each scanner. However, the classification accuracy of the integrated data using the Bayesian classifier was significantly lower than the classification accuracy of the ROI data of each scanner. Conclusions: The use of an integrated dataset along with a SVM classifier rather than a Bayesian classifier has benefits in terms of the classification accuracy of HRCT images acquired with more than one scanner. This finding is of relevance in studies involving large number of images, as is the case in a multicenter trial with different scanners.

Chang, Yongjun; Lim, Jonghyuck; Kim, Namkug; Seo, Joon Beom [Department of Radiology, University of Ulsan College of Medicine, 388-1 Pungnap2-dong, Songpa-gu, Seoul 138-736 (Korea, Republic of); Lynch, David A. [Department of Radiology, National Jewish Medical and Research Center, Denver, Colorado 80206 (United States)

2013-05-15T23:59:59.000Z

391

The XMM large scale structure survey: optical vs. X-ray classifications of active galactic nuclei and the unified scheme  

E-Print Network [OSTI]

Our goal is to characterize AGN populations by comparing their X-ray and optical classifications. We present a sample of 99 spectroscopically identified X-ray point sources in the XMM-LSS survey which are significantly detected in the [2-10] keV band, and with more than 80 counts. We performed an X-ray spectral analysis for all of these 99 X-ray sources. Introducing the fourfold point correlation coefficient, we find only a mild correlation between the X-ray and the optical classifications, as up to 30% of the sources have differing X-ray and optical classifications: on one hand, 10% of the type 1 sources present broad emission lines in their optical spectra and strong absorption in the X-rays. These objects are highly luminous AGN lying at high redshift and thus dilution effects are totally ruled out, their discrepant nature being an intrinsic property. Their X-ray luminosities and redshifts distributions are consistent with those of the unabsorbed X-ray sources with broad emission lines. On the other hand, 25/32 are moderate luminosity AGN, which are both unabsorbed in the X-rays and only present narrow emission lines in their optical spectra. The majority of them have an optical spectrum which is representative of the host galaxy. We finally infer that dilution of the AGN by the host galaxy seems to account for their nature. 5/25 have been defined as Seyfert 2. In conclusion, most of these 32 discrepant cases can be accounted for by the standard AGN unified scheme, as its predictions are not met for only 12% of the 99 X-ray sources. ABRIDGED

O. Garcet; P. Gandhi; E. Gosset; P. G. Sprimont; J. Surdej; V. Borkowski; M. Tajer; F. Pacaud; M. Pierre; L. Chiappetti; D. Maccagni; M. J. Page; F. J. Carrera; J. A. Tedds; S. Mateos; M. Krumpe; T. Contini; A. Corral; J. Ebrero; I. Gavignaud; A. Schwope; O. Le Fevre; M. Polletta; S. Rosen; C. Lonsdale; M. Watson; W. Borczyk; P. Vaisanen

2007-09-13T23:59:59.000Z

392

GIS Framework for Large River Geomorphic Classification to Aid in the Evaluation of Flow-Ecology Relationships  

SciTech Connect (OSTI)

Assessing the environmental benefits of proposed flow modification to large rivers provides invaluable insight into future hydropower project operations and relicensing activities. Providing a means to quantitatively define flow-ecology relationships is integral in establishing flow regimes that are mutually beneficial to power production and ecological needs. To compliment this effort an opportunity to create versatile tools that can be applied to broad geographic areas has been presented. In particular, integration with efforts standardized within the ecological limits of hydrologic alteration (ELOHA) is highly advantageous (Poff et al. 2010). This paper presents a geographic information system (GIS) framework for large river classification that houses a base geomorphic classification that is both flexible and accurate, allowing for full integration with other hydrologic models focused on addressing ELOHA efforts. A case study is also provided that integrates publically available National Hydrography Dataset Plus Version 2 (NHDPlusV2) data, Modular Aquatic Simulation System two-dimensional (MASS2) hydraulic data, and field collected data into the framework to produce a suite of flow-ecology related outputs. The case study objective was to establish areas of optimal juvenile salmonid rearing habitat under varying flow regimes throughout an impounded portion of the lower Snake River, USA (Figure 1) as an indicator to determine sites where the potential exists to create additional shallow water habitat. Additionally, an alternative hydrologic classification useable throughout the contiguous United States which can be coupled with the geomorphic aspect of this framework is also presented. This framework provides the user with the ability to integrate hydrologic and ecologic data into the base geomorphic aspect of this framework within a geographic information system (GIS) to output spatiotemporally variable flow-ecology relationship scenarios.

Vernon, Christopher R.; Arntzen, Evan V.; Richmond, Marshall C.; McManamay, R. A.; Hanrahan, Timothy P.; Rakowski, Cynthia L.

2013-02-01T23:59:59.000Z

393

Auto Defect Classification (ADC) Value for Patterned Wafer Inspection Systems in PLY Within a High Volume Wafer Manufacturing Fabrication Facility  

E-Print Network [OSTI]

.* * Since ADC classification is done from the "Patch" images from inspectors (about 1/4 um resolution average recipe, and the resolution of the SEM is one order of magnitude better approx. 30nm. ) So getting valuable data that you can trust from... with Excursion Detection example. Financial charts highlighting opportunity for baseline yield improvement of $10.8M yearly. Assumptions Without ADC If React within 1day to excursion Dram Chip value (ASP for 1Gb DRAM in 2008) $1.50 $1.50 Dram...

Durniak, John

2010-05-14T23:59:59.000Z

394

Relative Dating and Classification of Minerals and Rocks Based on Statistical Calculations Related to Their Potential Energy Index  

E-Print Network [OSTI]

Index of proportionality of atomic weights of chemical elements is proposed for determining the relative age of minerals and rocks. Their chemical analysis results serve to be initial data for calculations. For rocks of different composition the index is considered to be classification value as well. Crystal lattice energy change in minerals and their associations can be measured by the index value change, thus contributing to the solution of important practical problems. There was determined the effect of more rapid increase of potential energy of limestone with relatively low lattice energy as compared with the others.

Labushev, Mikhail M

2012-01-01T23:59:59.000Z

395

An Adaptive Landscape Classification Procedure using Geoinformatics and Artificial Neural Networks  

SciTech Connect (OSTI)

The Adaptive Landscape Classification Procedure (ALCP), which links the advanced geospatial analysis capabilities of Geographic Information Systems (GISs) and Artificial Neural Networks (ANNs) and particularly Self-Organizing Maps (SOMs), is proposed as a method for establishing and reducing complex data relationships. Its adaptive and evolutionary capability is evaluated for situations where varying types of data can be combined to address different prediction and/or management needs such as hydrologic response, water quality, aquatic habitat, groundwater recharge, land use, instrumentation placement, and forecast scenarios. The research presented here documents and presents favorable results of a procedure that aims to be a powerful and flexible spatial data classifier that fuses the strengths of geoinformatics and the intelligence of SOMs to provide data patterns and spatial information for environmental managers and researchers. This research shows how evaluation and analysis of spatial and/or temporal patterns in the landscape can provide insight into complex ecological, hydrological, climatic, and other natural and anthropogenic-influenced processes. Certainly, environmental management and research within heterogeneous watersheds provide challenges for consistent evaluation and understanding of system functions. For instance, watersheds over a range of scales are likely to exhibit varying levels of diversity in their characteristics of climate, hydrology, physiography, ecology, and anthropogenic influence. Furthermore, it has become evident that understanding and analyzing these diverse systems can be difficult not only because of varying natural characteristics, but also because of the availability, quality, and variability of spatial and temporal data. Developments in geospatial technologies, however, are providing a wide range of relevant data, and in many cases, at a high temporal and spatial resolution. Such data resources can take the form of high-dimensional data arrays, which can difficult to fully use. Establishing relationships among high-dimensional datasets through neurocomputing based patterning methods can help 1) resolve large volumes of data into a meaningful form; 2) provide an approach for inferring landscape processes in areas that have limited data available but that exhibit similar landscape characteristics; and 3) discover the value of individual variables or groups of variables that contribute to specific processes in the landscape.

Coleman, Andre M.

2008-08-01T23:59:59.000Z

396

EFFICIENT SELECTION AND CLASSIFICATION OF INFRARED EXCESS EMISSION STARS BASED ON AKARI AND 2MASS DATA  

SciTech Connect (OSTI)

The selection of young stellar objects (YSOs) based on excess emission in the infrared is easily contaminated by post-main-sequence stars and various types of emission line stars with similar properties. We define in this paper stringent criteria for an efficient selection and classification of stellar sources with infrared excess emission based on combined Two Micron All Sky Survey (2MASS) and AKARI colors. First of all, bright dwarfs and giants with known spectral types were selected from the Hipparcos Catalogue and cross-identified with the 2MASS and AKARI Point Source Catalogues to produce the main-sequence and the post-main-sequence tracks, which appear as expected as tight tracks with very small dispersion. However, several of the main-sequence stars indicate excess emission in the color space. Further investigations based on the SIMBAD data help to clarify their nature as classical Be stars, which are found to be located in a well isolated region on each of the color-color (C-C) diagrams. Several kinds of contaminants were then removed based on their distribution in the C-C diagrams. A test sample of Herbig Ae/Be stars and classical T Tauri stars were cross-identified with the 2MASS and AKARI catalogs to define the loci of YSOs with different masses on the C-C diagrams. Well classified Class I and Class II sources were taken as a second test sample to discriminate between various types of YSOs at possibly different evolutionary stages. This helped to define the loci of different types of YSOs and a set of criteria for selecting YSOs based on their colors in the near- and mid-infrared. Candidate YSOs toward IC 1396 indicating excess emission in the near-infrared were employed to verify the validity of the new source selection criteria defined based on C-C diagrams compiled with the 2MASS and AKARI data. Optical spectroscopy and spectral energy distributions of the IC 1396 sample yield a clear identification of the YSOs and further confirm the criteria defined for exploring the nature and properties of unknown excess emission sources in the infrared without optical identification.

Huang Yafang; Li Jinzeng [National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing 100012 (China); Rector, Travis A. [University of Alaska, 3211 Providence Drive, Anchorage, AK 99508 (United States); Mallamaci, Carlos C., E-mail: ljz@nao.cas.cn [Observatorio Astronomico Felix Aguilar, Universidad Nacional de San Juan (Argentina)

2013-05-15T23:59:59.000Z

397

A method for EIA scoping of wave energy converters-based on classification of the used technology  

SciTech Connect (OSTI)

During the first decade of the 21st Century the World faces spread concern for global warming caused by rise of green house gasses produced mainly by combustion of fossil fuels. Under this latest spin all renewable energies run parallel in order to achieve sustainable development. Among them wave energy has an unequivocal potential and technology is ready to enter the market and contribute to the renewable energy sector. Yet, frameworks and regulations for wave energy development are not fully ready, experiencing a setback caused by lack of understanding of the interaction of the technologies and marine environment, lack of coordination from the competent Authorities regulating device deployment and conflicts of maritime areas utilization. The EIA within the consent process is central in the realization of full scale devices and often is the meeting point for technology, politics and public. This paper presents the development of a classification of wave energy converters that is based on the different impact the technologies are expected to have on the environment. This innovative classification can be used in order to simplify the scoping process for developers and authorities.

Margheritini, Lucia, E-mail: lm@civil.aau.dk [Aalborg University, Department of Civil Engineering, Sohngardsholmsvej 57, DK - 9000, Aalborg (Denmark); Hansen, Anne Merrild, E-mail: merrild@plan.aau.dk [Aalborg University, Department of Planning and Development, Fibigerstraede 13, DK - 9220, Aalborg (Denmark); Frigaard, Peter, E-mail: pf@civil.aau.dk [Aalborg University, Department of Civil Engineering, Sohngardsholmsvej 57, DK - 9000, Aalborg (Denmark)

2012-01-15T23:59:59.000Z

398

Classification of quantum phases and topology of logical operators in an exactly solved model of quantum codes  

E-Print Network [OSTI]

Searches for possible new quantum phases and classifications of quantum phases have been central problems in physics. Yet, they are indeed challenging problems due to the computational difficulties in analyzing quantum many-body systems and the lack of a general framework for classifications. While frustration-free Hamiltonians, which appear as fixed point Hamiltonians of renormalization group transformations, may serve as representatives of quantum phases, it is still difficult to analyze and classify quantum phases of arbitrary frustration-free Hamiltonians exhaustively. Here, we address these problems by sharpening our considerations to a certain subclass of frustration-free Hamiltonians, called stabilizer Hamiltonians, which have been actively studied in quantum information science. We propose a model of frustration-free Hamiltonians which covers a large class of physically realistic stabilizer Hamiltonians, constrained to only three physical conditions; the locality of interaction terms, translation symmetries and scale symmetries, meaning that the number of ground states does not grow with the system size. We show that quantum phases arising in two-dimensional models can be classified exactly through certain quantum coding theoretical operators, called logical operators, by proving that two models with topologically distinct shapes of logical operators are always separated by quantum phase transitions.

Beni Yoshida

2011-04-03T23:59:59.000Z

399

A Physical Approach to the Identification of High-z Mergers: Morphological Classification in the Stellar Mass Domain  

E-Print Network [OSTI]

At z>1, the distinction between merging and 'normal' star-forming galaxies based on single band morphology is often hampered by the presence of large clumps which result in a disturbed, merger-like appearance even in rotationally supported disks. In this paper we discuss how a classification based on canonical, non-parametric structural indices measured on resolved stellar mass maps, rather than on single-band images, reduces the misclassification of clumpy but not merging galaxies. We calibrate the mass-based selection of mergers using the MIRAGE hydrodynamical numerical simulations of isolated and merging galaxies which span a stellar mass range of $10^{9.8}$-$10^{10.6}M_{sun}$ and merger ratios between 1:1-1:6.3. These simulations are processed to reproduce the typical depth and spatial resolution of observed HUDF data. We test our approach on a sample of real z~2 galaxies with kinematic classification into disks or mergers and on ~100 galaxies in the HUDF field with photometric/spectroscopic redshift betw...

Cibinel, Anna; Perret, Valentin; Bournaud, Frederic; Daddi, Emanuele; Pannella, Maurilio; Elbaz, David; Amram, Philippe; Duc, Pierre-Alain

2015-01-01T23:59:59.000Z

400

(Teff,log g,[Fe/H]) Classification of Low-Resolution Stellar Spectra using Artificial Neural Networks  

E-Print Network [OSTI]

New generation large-aperture telescopes, multi-object spectrographs, and large format detectors are making it possible to acquire very large samples of stellar spectra rapidly. In this context, traditional star-by-star spectroscopic analysis are no longer practical. New tools are required that are capable of extracting quickly and with reasonable accuracy important basic stellar parameters coded in the spectra. Recent analyses of Artificial Neural Networks (ANNs) applied to the classification of astronomical spectra have demonstrated the ability of this concept to derive estimates of temperature and luminosity. We have adapted the back-propagation ANN technique developed by von Hippel et al. (1994) to predict effective temperatures, gravities and overall metallicities from spectra with resolving power ~ 2000 and low signal-to-noise ratio. We show that ANN techniques are very effective in executing a three-parameter (Teff,log g,[Fe/H]) stellar classification. The preliminary results show that the technique is even capable of identifying outliers from the training sample.

Shawn Snider; Yuan Qu; Carlos Allende Prieto; Ted von Hippel; Timothy C. Beers; Chistopher Sneden; David L. Lambert

1999-12-19T23:59:59.000Z

Note: This page contains sample records for the topic "understood sanyal classification" from the National Library of EnergyBeta (NLEBeta).
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401

REVISITING THE LONG/SOFT-SHORT/HARD CLASSIFICATION OF GAMMA-RAY BURSTS IN THE FERMI ERA  

SciTech Connect (OSTI)

We perform a statistical analysis of the temporal and spectral properties of the latest Fermi gamma-ray bursts (GRBs) to revisit the classification of GRBs. We find that the bimodalities of duration and the energy ratio (E{sub peak}/Fluence) and the anti-correlation between spectral hardness (hardness ratio (HR), peak energy, and spectral index) and duration (T{sub 90}) support the long/soft-short/hard classification scheme for Fermi GRBs. The HR-T{sub 90} anti-correlation strongly depends on the spectral shape of GRBs and energy bands, and the bursts with the curved spectra in the typical BATSE energy bands show a tighter anti-correlation than those with the power-law spectra in the typical BAT energy bands. This might explain why the HR-T{sub 90} correlation is not evident for those GRB samples detected by instruments like Swift with a narrower/softer energy bandpass. We also analyze the intrinsic energy correlation for the GRBs with measured redshifts and well-defined peak energies. The current sample suggests E{sub p,rest} = 2455 Multiplication-Sign (E{sub iso}/10{sup 52}){sup 0.59} for short GRBs, significantly different from that for long GRBs. However, both the long and short GRBs comply with the same E{sub p,rest}-L{sub iso} correlation.

Zhang Fuwen; Yan Jingzhi; Wei Daming [Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210008 (China); Shao Lang, E-mail: fwzhang@pmo.ac.cn [Department of Physics, Hebei Normal University, Shijiazhuang 050016 (China)

2012-05-10T23:59:59.000Z

402

SALTSTONE VAULT CLASSIFICATION SAMPLES MODULAR CAUSTIC SIDE SOLVENT EXTRACTION UNIT/ACTINIDE REMOVAL PROCESS WASTE STREAM APRIL 2011  

SciTech Connect (OSTI)

Savannah River National Laboratory (SRNL) was asked to prepare saltstone from samples of Tank 50H obtained by SRNL on April 5, 2011 (Tank 50H sampling occurred on April 4, 2011) during 2QCY11 to determine the non-hazardous nature of the grout and for additional vault classification analyses. The samples were cured and shipped to Babcock & Wilcox Technical Services Group-Radioisotope and Analytical Chemistry Laboratory (B&W TSG-RACL) to perform the Toxic Characteristic Leaching Procedure (TCLP) and subsequent extract analysis on saltstone samples for the analytes required for the quarterly analysis saltstone sample. In addition to the eight toxic metals - arsenic, barium, cadmium, chromium, mercury, lead, selenium and silver - analytes included the underlying hazardous constituents (UHC) antimony, beryllium, nickel, and thallium which could not be eliminated from analysis by process knowledge. Additional inorganic species determined by B&W TSG-RACL include aluminum, boron, chloride, cobalt, copper, fluoride, iron, lithium, manganese, molybdenum, nitrate/nitrite as Nitrogen, strontium, sulfate, uranium, and zinc and the following radionuclides: gross alpha, gross beta/gamma, 3H, 60Co, 90Sr, 99Tc, 106Ru, 106Rh, 125Sb, 137Cs, 137mBa, 154Eu, 238Pu, 239/240Pu, 241Pu, 241Am, 242Cm, and 243/244Cm. B&W TSG-RACL provided subsamples to GEL Laboratories, LLC for analysis for the VOCs benzene, toluene, and 1-butanol. GEL also determines phenol (total) and the following radionuclides: 147Pm, 226Ra and 228Ra. Preparation of the 2QCY11 saltstone samples for the quarterly analysis and for vault classification purposes and the subsequent TCLP analyses of these samples showed that: (1) The saltstone waste form disposed of in the Saltstone Disposal Facility in 2QCY11 was not characteristically hazardous for toxicity. (2) The concentrations of the eight RCRA metals and UHCs identified as possible in the saltstone waste form were present at levels below the UTS. (3) Most of the inorganic species measured in the leachate do not exceed the MCL, SMCL or TW limits. (4) The inorganic waste species that exceeded the MCL by more than a factor of 10 were nitrate, nitrite and the sum of nitrate and nitrite. (5) Analyses met all quality assurance specifications of US EPA SW-846. (6) The organic species (benzene, toluene, 1-butanol, phenol) were either not detected or were less than reportable for the vault classification samples. (7) The gross alpha and radium isotopes could not be determined to the MCL because of the elevated background which raised the detection limits. (8) Most of the beta/gamma activity was from 137Cs and its daughter 137mBa. (9) The concentration of 137Cs and 90Sr were present in the leachate at concentrations 1/40th and 1/8th respectively than in the 2003 vault classification samples. The saltstone waste form placed in the Saltstone Disposal Facility in 2QCY11 met the SCHWMR R.61-79.261.24(b) RCRA metals requirements for a nonhazardous waste form. The TCLP leachate concentrations for nitrate, nitrite and the sum of nitrate and nitrite were greater than 10x the MCLs in SCDHEC Regulations R.61-107.19, Part I A, which confirms the Saltstone Disposal Facility classification as a Class 3 Landfill. The saltstone waste form placed in the Saltstone Disposal Facility in 2QCY11 met the R.61-79.268.48(a) non wastewater treatment standards.

Eibling, R.

2011-09-28T23:59:59.000Z

403

Towards a Real-time Transient Classification Engine J. S. Bloom1, , D. L. Starr1,2, N. R. Butler1, P. Nugent1,3, M. Rischard1, D. Eads4, and  

E-Print Network [OSTI]

-throughput imaging data streams. Described herein, the Transient Classification Project at Berkeley will be making large imaging surveys of the static sky is a maturing endeavor. Star-galaxy classification Bailey, this workshop).While interested primarily in supernovae, the deep lens survey (2; see Becker

Geddes, Cameron Guy Robinson

404

The Use of Decision Threshold Adjustment in Classification for Cancer Prediction James J. Chen1, Chen-An Tsai2, Hojin Moon1, Hongshik Ahn3, John J. Young1,  

E-Print Network [OSTI]

The Use of Decision Threshold Adjustment in Classification for Cancer Prediction James J. Chen1 #12;INTRODUCTION Classification/prediction (machine learning) has been a widely used data mining technique in many areas of research and applications. Class prediction has been used to predict the activity

Ahn, Hongshik

405

while I1 is unstable. The difference between I and I1 could easily be understood by utilizing the approach presented in  

E-Print Network [OSTI]

of this research. References and Notes (1) M. J. S. Dewar, "The Molecular Orbital Theory of Organic Chemistry", (2) W. L. Jorgensen and L. Salem, "The Organic Chemist's Book of Orbit- (3) J. A. Pople and D. L Chemistry", Hoit, Rinehartand Winston, New York. N.Y., 1972. The value of k is chosen to be -39.69 e

Schlegel, H. Bernhard

406

Making Ourselves Understood: The Role of Previous Experience, Stereotypes, Communication Accommodation, and Anxiety in Americans' Perceptions of Communication with Chinese Students  

E-Print Network [OSTI]

This study examined American students' perceptions of communication with Chinese international students in two parts. First, studies were conducted to explore the stereotypes American students have about Chinese students. ...

Ruble, Racheal A.

2011-12-31T23:59:59.000Z

407

Conceptualisations of citizenship in Sweden and the United Kingdom: an empirical study and analysis of how Ďcitizenshipí is understood in policy and by policy-makers.†  

E-Print Network [OSTI]

This empirical study identifies and analyses what conceptualisations of citizenship emerge in policy thinking around naturalisation and how these conceptualisations have been articulated in citizenship policy and by policy-makers in the two specific...

McIver, Scott Iain

2010-01-01T23:59:59.000Z

408

The need for a characteristics-based approach to radioactive waste classification as informed by advanced nuclear fuel cycles using the fuel-cycle integration and tradeoffs (FIT) model  

SciTech Connect (OSTI)

This study explores the impact of wastes generated from potential future fuel cycles and the issues presented by classifying these under current classification criteria, and discusses the possibility of a comprehensive and consistent characteristics-based classification framework based on new waste streams created from advanced fuel cycles. A static mass flow model, Fuel-Cycle Integration and Tradeoffs (FIT), was used to calculate the composition of waste streams resulting from different nuclear fuel cycle choices. Because heat generation is generally the most important factor limiting geological repository areal loading, this analysis focuses on the impact of waste form heat load on waste classification practices, although classifying by metrics of radiotoxicity, mass, and volume is also possible. Waste streams generated in different fuel cycles and their possible classification based on the current U.S. framework and international standards are discussed. It is shown that the effects of separating waste streams are neglected under a source-based radioactive waste classification system. (authors)

Djokic, D. [Department of Nuclear Engineering, University of California, Berkeley, 3115B Etcheverry Hall, Berkeley, CA 94720-1730 (United States); Piet, S.; Pincock, L.; Soelberg, N. [Idaho National Laboratory - INL, 2525 North Fremont Avenue, Idaho Falls, ID 83415 (United States)

2013-07-01T23:59:59.000Z

409

GUIDANCE FOR THE PROPER CHARACTERIZATION AND CLASSIFICATION OF LOW SPECIFIC ACTIVITY MATERIALS AND SURFACE CONTAMINATED OBJECTS FOR DISPOSAL  

SciTech Connect (OSTI)

Regulatory concerns over the proper characterization of certain waste streams led CH2M HILL Plateau Remediation Company (CHPRC) to develop written guidance for personnel involved in Decontamination & Decommissioning (D&D) activities, facility management and Waste Management Representatives (WMRs) involved in the designation of wastes for disposal on and off the Hanford Site. It is essential that these waste streams regularly encountered in D&D operations are properly designated, characterized and classified prior to shipment to a Treatment, Storage or Disposal Facility (TSDF). Shipments of waste determined by the classification process as Low Specific Activity (LSA) or Surface Contaminated Objects (SCO) must also be compliant with all applicable U.S. Department of Transportation (DOE) regulations as well as Department of Energy (DOE) orders. The compliant shipment of these waste commodities is critical to the Hanford Central Plateau cleanup mission. Due to previous problems and concerns from DOE assessments, CHPRC internal critiques as well as DOT, a management decision was made to develop written guidance and procedures to assist CHPRC shippers and facility personnel in the proper classification of D&D waste materials as either LSA or SCO. The guidance provides a uniform methodology for the collection and documentation required to effectively characterize, classify and identify candidate materials for shipping operations. A primary focus is to ensure that waste materials generated from D&D and facility operations are compliant with the DOT regulations when packaged for shipment. At times this can be difficult as the current DOT regulations relative to the shipment of LSA and SCO materials are often not clear to waste generators. Guidance is often sought from NUREG 1608/RAMREG-003 [3]: a guidance document that was jointly developed by the DOT and the Nuclear Regulatory Commission (NRC) and published in 1998. However, NUREG 1608 [3] is now thirteen years old and requires updating to comply with the newer DOT regulations. Similar challenges present themselves throughout the nuclear industry in both commercial and government operations and therefore, this is not only a Hanford Site problem. Shipping radioactive wastes as either LSA or SCO rather than repacking it is significantly cheaper than other DOT radioactive materials shipping classifications particularly when the cost of packages is included. Additionally, the need to 'repackage' materials for transport can often increase worker exposure, necessitated by 'repackaging' waste materials into DOT 7 A Type A containers.

PORTSMOUTH JH; BLACKFORD LT

2012-02-13T23:59:59.000Z

410

A Novel Interface for Higher-Dimensional Classification of Volume Data Fan-Yin Tzeng Eric B. Lum Kwan-Liu Ma  

E-Print Network [OSTI]

rendering of MRI head with a 1-D transfer function. Middle: 2-D transfer function. Right: 10-D the actual classification. For example, for the MRI head data set (also shown in Figure 2), it is difficult to specify a one-dimensional transfer function that differentiates the brain and the region near the skull

Ma, Kwan-Liu

411

Waste Classification based on Waste Form Heat Generation in Advanced Nuclear Fuel Cycles Using the Fuel-Cycle Integration and Tradeoffs (FIT) Model - 13413  

SciTech Connect (OSTI)

This study explores the impact of wastes generated from potential future fuel cycles and the issues presented by classifying these under current classification criteria, and discusses the possibility of a comprehensive and consistent characteristics-based classification framework based on new waste streams created from advanced fuel cycles. A static mass flow model, Fuel-Cycle Integration and Tradeoffs (FIT), was used to calculate the composition of waste streams resulting from different nuclear fuel cycle choices. This analysis focuses on the impact of waste form heat load on waste classification practices, although classifying by metrics of radiotoxicity, mass, and volume is also possible. The value of separation of heat-generating fission products and actinides in different fuel cycles is discussed. It was shown that the benefits of reducing the short-term fission-product heat load of waste destined for geologic disposal are neglected under the current source-based radioactive waste classification system, and that it is useful to classify waste streams based on how favorable the impact of interim storage is in increasing repository capacity. (authors)

Djokic, Denia [Department of Nuclear Engineering, University of California - Berkeley, 4149 Etcheverry Hall, Berkeley, CA 94720-1730 (United States)] [Department of Nuclear Engineering, University of California - Berkeley, 4149 Etcheverry Hall, Berkeley, CA 94720-1730 (United States); Piet, Steven J.; Pincock, Layne F.; Soelberg, Nick R. [Idaho National Laboratory - INL, 2525 North Fremont Avenue, Idaho Falls, ID 83415 (United States)] [Idaho National Laboratory - INL, 2525 North Fremont Avenue, Idaho Falls, ID 83415 (United States)

2013-07-01T23:59:59.000Z

412

Support Vector Machines Issues in the classification of text documents Learning Boolean Weights Learning Real-Valued Web Search and Text Mining  

E-Print Network [OSTI]

Support Vector Machines Issues in the classification of text documents Learning Boolean Weights Vector Machines and Learning to Rank Alexander Gray Georgia Institute of Technology, College of Computing 2011 Gray: Support Vector Machines and Learning to Rank 1 / 59 #12;Support Vector Machines Issues

Gray, Alexander

413

Waste Classification based on Waste Form Heat Generation in Advanced Nuclear Fuel Cycles Using the Fuel-Cycle Integration and Tradeoffs (FIT) Model  

SciTech Connect (OSTI)

This study explores the impact of wastes generated from potential future fuel cycles and the issues presented by classifying these under current classification criteria, and discusses the possibility of a comprehensive and consistent characteristics-based classification framework based on new waste streams created from advanced fuel cycles. A static mass flow model, Fuel-Cycle Integration and Tradeoffs (FIT), was used to calculate the composition of waste streams resulting from different nuclear fuel cycle choices. This analysis focuses on the impact of waste form heat load on waste classification practices, although classifying by metrics of radiotoxicity, mass, and volume is also possible. The value of separation of heat-generating fission products and actinides in different fuel cycles is discussed. It was shown that the benefits of reducing the short-term fission-product heat load of waste destined for geologic disposal are neglected under the current source-based radioactive waste classification system , and that it is useful to classify waste streams based on how favorable the impact of interim storage is in increasing repository capacity.

Denia Djokic; Steven J. Piet; Layne F. Pincock; Nick R. Soelberg

2013-02-01T23:59:59.000Z

414

Technical report TR2011-11-23, 2011, HCI Lab, Texas State University Automated Classification and Scoring of Smooth Pursuit Eye Movements  

E-Print Network [OSTI]

and Scoring of Smooth Pursuit Eye Movements in Presence of Fixations and Saccades Alex Karpov Department Science Texas State University-San Marcos ok11@txstate.edu Abstract Ternary eye movement classification, which separates fixations, saccades, and smooth pursuit from the raw eye positional data, is extremely

Oleg, Komogortsev - Department of Computer Science, Texas State University

415

iProClass: An Integrated Protein Classification Database for Wu, C. H., Chen, Y., Huang, H., Barker, W.C.  

E-Print Network [OSTI]

/site) levels, as well as structural/functional classifications and features of proteins. The PIR superfamily than 266,000 non- redundant PIR and Swiss-Prot proteins organized with more than 30,000 superfamilies-relational system and available for sequence/text search and report retrieval at http://pir

416

Biodiesel: a case study of the impact of new rules regarding the classification and labelling of physical and chemical properties of chemicals  

E-Print Network [OSTI]

Biodiesel: a case study of the impact of new rules regarding the classification and labelling.janes@ineris.fr, guy.marlair@ineris.fr, patricia.rotureau@ineris.fr 1. Introduction Biodiesel and any co-products or intermediate chemicals produced and used from the biodiesel industry fall under the scope of the regulation

Paris-Sud XI, Université de

417

By the National Wetlands Working Group / Edited by B.G. Warner and C.D.A. Rubec The Canadian Wetland Classification System  

E-Print Network [OSTI]

By the National Wetlands Working Group / Edited by B.G. Warner and C.D.A. Rubec The Canadian Wetland Classification System Second Edition #12; 1997 by the Wetlands Research Centre, University Wetlands Conservation Council (Canada) · Wetlands Research Centre, University of Waterloo Copies

Laval, Université

418

LES REVUES D'EXCELLENCE EN ECONOMIE ET EN GESTION : DISCORDANCES ENTRE LA CLASSIFICATION DE L'AERES ET LES FACTEURS  

E-Print Network [OSTI]

1 LES REVUES D'EXCELLENCE EN ECONOMIE ET EN GESTION : DISCORDANCES ENTRE LA CLASSIFICATION DE L'AERES novembre 2009 En 2008, l'agence d'évaluation de la recherche et de l'enseignement supérieur (AERES 109 revues parmi les 594 (18%) revues classées A, B ou C par l'AERES ont des facteurs d'impact par

Paris-Sud XI, Université de

419

Induced Radioactivity and Waste Classification of Reactor Zone Components of the Chernobyl Nuclear Power Plant Unit 1 After Final Shutdown  

SciTech Connect (OSTI)

The dismantlement of the reactor core materials and surrounding structural components is a major technical concern for those planning closure and decontamination and decommissioning of the Chernobyl Nuclear Power Plant (NPP). Specific issues include when and how dismantlement should be accomplished and what the radwaste classification of the dismantled system would be at the time it is disassembled. Whereas radiation levels and residual radiological characteristics of the majority of the plant systems are directly measured using standard radiation survey and radiochemical analysis techniques, actual measurements of reactor zone materials are not practical due to high radiation levels and inaccessibility. For these reasons, neutron transport analysis was used to estimate induced radioactivity and radiation levels in the Chernobyl NPP Unit 1 reactor core materials and structures.Analysis results suggest that the optimum period of safe storage is 90 to 100 yr for the Unit 1 reactor. For all of the reactor components except the fuel channel pipes (or pressure tubes), this will provide sufficient decay time to allow unlimited worker access during dismantlement, minimize the need for expensive remote dismantlement, and allow for the dismantled reactor components to be classified as low- or medium-level radioactive waste. The fuel channel pipes will remain classified as high-activity waste requiring remote dismantlement for hundreds of years due to the high concentration of induced {sup 63}Ni in the Zircaloy pipes.

Bylkin, Boris K. [Russian Research Center 'Kurchatov Institute' (Russian Federation); Davydova, Galina B. [Russian Research Center 'Kurchatov Institute' (Russian Federation); Zverkov, Yuri A. [Russian Research Center 'Kurchatov Institute' (Russian Federation); Krayushkin, Alexander V. [Russian Research Center 'Kurchatov Institute' (Russian Federation); Neretin, Yuri A. [Chernobyl Nuclear Power Plant (Ukraine); Nosovsky, Anatoly V. [Slavutych Division of the International Chernobyl Center (Ukraine); Seyda, Valery A. [Chernobyl Nuclear Power Plant (Ukraine); Short, Steven M. [Pacific Northwest National Laboratory (United States)

2001-10-15T23:59:59.000Z

420

DOE Launches New Energy Efficiency and Renewable Energy Advisory...  

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

York City Department of Transportation Subir Sanyal President and Manager of Reservoir Engineering Services, GeothermEx, Inc. Maxine Savitz General Manager, Honeywell...

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


421

ORNL researchers develop 'Autotune' software to make it quicker...  

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

efficiency, if widely implemented, could significantly impact energy and environmental sustainability at local to national scales. ORNL buildings researchers Sanyal and...

422

Engraving Print Classification  

SciTech Connect (OSTI)

A print is a mark, or drawing, made in or upon a plate, stone, woodblock or other material which is cover with ink and then is press usually into a paper reproducing the image on the paper. Engraving prints usually are image composed of a group of binary lines, specially those are made with relief and intaglio techniques. Varying the number and the orientation of lines, the drawing of the engraving print is conformed. For this reason we propose an application based on image processing methods to classify engraving prints.

Hoelck, Daniel [Instituto de Fisica, P. Universidad Catolica de Valparaiso, Av. Brasil 2905, Valparaiso (Chile); Barbe, Joaquim [Grupo Felix Klein, Facultad de Ciencias, Universidad de Santiago de Chile, Av. Lib. Bernardo O'Higgins 3363 (Chile)

2008-04-15T23:59:59.000Z

423

Methods for data classification  

DOE Patents [OSTI]

The present invention provides methods for classifying data and uncovering and correcting annotation errors. In particular, the present invention provides a self-organizing, self-correcting algorithm for use in classifying data. Additionally, the present invention provides a method for classifying biological taxa.

Garrity, George (Okemos, MI); Lilburn, Timothy G. (Front Royal, VA)

2011-10-11T23:59:59.000Z

424

Complex System Classification  

E-Print Network [OSTI]

The use of terms such as ďEngineering SystemsĒ, ďSystem of systemsĒ and others have been coming into greater use over the past decade to denote systems of importance but with implied higher complexity than for the term ...

Magee, Christopher

2004-07-24T23:59:59.000Z

425

Position Management and Classification  

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

The Order establishes Departmental requirements and responsibilities for classifying positions using the General Schedule (GS) and the Federal Wage System (FWS) standards.

2014-10-30T23:59:59.000Z

426

Matched-pair classification  

SciTech Connect (OSTI)

Following an analogous distinction in statistical hypothesis testing, we investigate variants of machine learning where the training set comes in matched pairs. We demonstrate that even conventional classifiers can exhibit improved performance when the input data has a matched-pair structure. Online algorithms, in particular, converge quicker when the data is presented in pairs. In some scenarios (such as the weak signal detection problem), matched pairs can be generated from independent samples, with the effect not only doubling the nominal size of the training set, but of providing the structure that leads to better learning. A family of 'dipole' algorithms is introduced that explicitly takes advantage of matched-pair structure in the input data and leads to further performance gains. Finally, we illustrate the application of matched-pair learning to chemical plume detection in hyperspectral imagery.

Theiler, James P [Los Alamos National Laboratory

2009-01-01T23:59:59.000Z

427

Rare-earth elements in the atmosphere of the magnetic chemically peculiar star HD 144897. New classification of the Nd III spectrum  

E-Print Network [OSTI]

We have obtained a UVES spectrum of a slowly rotating strongly magnetic Ap star, HD 144897, that exhibits very large overabundances of rare-earth elements. Here we present a detailed spectral analysis of this object, also taking into account effects of non-uniform vertical distribution (stratification) of chemical elements. We have determined the photospheric abundances of 40 ions. For seven elements (Mg, Si, Ca, Ti, Cr, Mn, Fe), we have obtained a stratification model that allow us to produce a satisfactory fit to the observed profiles of spectral lines of various strength. REEs abundances, that for the first time in the literature have been determined from the lines of the first and second ions, have been found typically four dex larger than solar abundances. Our analysis of REE spectral lines provide a strong support to the laboratory line classification and determination of the atomic parameters. The only remarkable exception is Nd III, for which spectral synthesis was found to be inconsistent with the observations. We have therefore performed a revision of the Nd III classification. We have confirmed the energies for 11 out of 24 odd energy levels classified previously, and we have derived the energies for additional 24 levels of Nd III, thereby increasing substantially the number of classified Nd III lines with corrected wavelengths and atomic parameters.

T. Ryabchikova; A. Ryabtsev; O. Kochukhov; S. Bagnulo

2006-04-26T23:59:59.000Z

428

Development of submicron particle size classification and collection techniques for nuclear facility off-gas streams. [Diffusion battery and electrofluidized bed  

SciTech Connect (OSTI)

High efficiency particulate air (HEPA) filters are an essential part of nuclear facility off-gas cleanup systems. However, HEPA-rated sampling filters are not the most appropriate samplers for the particle penetrating off-gas cleanup systems. Previous work at the Idaho Chemical Processing Plant (ICPP) estimated perhaps 5% of the radioactivity that challenged sampling filters penetrated them in the form of submicron particles - typically less than 0.2 microns. Accordingly, to evaluate these penetrating aerosols more fully, a suitable robust monitoring system for size differentiation and measurement of submicron particles was developed. A literature survey revealed that the diffusion battery was the best choice for particle size classification and that the electrofluidized bed was the best method for particle collection in ICPP off-gas streams. This report describes the laboratory study and in-plant demonstration of these two techniques.

Hohorst, F.A.; Fernandez, S.J.

1981-02-01T23:59:59.000Z

430

Rare-earth elements in the atmosphere of the magnetic chemically peculiar star HD 144897. New classification of the Nd III spectrum  

E-Print Network [OSTI]

We have obtained a UVES spectrum of a slowly rotating strongly magnetic Ap star, HD 144897, that exhibits very large overabundances of rare-earth elements. Here we present a detailed spectral analysis of this object, also taking into account effects of non-uniform vertical distribution (stratification) of chemical elements. We have determined the photospheric abundances of 40 ions. For seven elements (Mg, Si, Ca, Ti, Cr, Mn, Fe), we have obtained a stratification model that allow us to produce a satisfactory fit to the observed profiles of spectral lines of various strength. REEs abundances, that for the first time in the literature have been determined from the lines of the first and second ions, have been found typically four dex larger than solar abundances. Our analysis of REE spectral lines provide a strong support to the laboratory line classification and determination of the atomic parameters. The only remarkable exception is Nd III, for which spectral synthesis was found to be inconsistent with the ob...

Ryabchikova, T A; Kochukhov, O; Ryabtsov, A V

2006-01-01T23:59:59.000Z

431

MULTI-WAVELENGTH OBSERVATIONS OF SUPERNOVA 2011ei: TIME-DEPENDENT CLASSIFICATION OF TYPE IIb AND Ib SUPERNOVAE AND IMPLICATIONS FOR THEIR PROGENITORS  

SciTech Connect (OSTI)

We present X-ray, UV/optical, and radio observations of the stripped-envelope, core-collapse supernova (SN) 2011ei, one of the least luminous SNe IIb or Ib observed to date. Our observations begin with a discovery within {approx}1 day of explosion and span several months afterward. Early optical spectra exhibit broad, Type II-like hydrogen Balmer profiles that subside rapidly and are replaced by Type Ib-like He-rich features on a timescale of one week. High-cadence monitoring of this transition suggests absorption attributable to a high-velocity ({approx}> 12, 000 km s{sup -1}) H-rich shell, which is likely present in many Type Ib events. Radio observations imply a shock velocity of v Almost-Equal-To 0.13 c and a progenitor star average mass-loss rate of M-dot {approx}1.4 Multiplication-Sign 10{sup -5} M{sub sun} yr{sup -1} (assuming wind velocity v{sub w} = 10{sup 3} km s{sup -1}). This is consistent with independent constraints from deep X-ray observations with Swift-XRT and Chandra. Overall, the multi-wavelength properties of SN 2011ei are consistent with the explosion of a lower-mass (3-4 M{sub Sun }), compact (R{sub *} {approx}< 1 Multiplication-Sign 10{sup 11} cm), He-core star. The star retained a thin hydrogen envelope at the time of explosion, and was embedded in an inhomogeneous circumstellar wind suggestive of modest episodic mass loss. We conclude that SN 2011ei's rapid spectral metamorphosis is indicative of time-dependent classifications that bias estimates of the relative explosion rates for Type IIb and Ib objects, and that important information about a progenitor star's evolutionary state and mass loss immediately prior to SN explosion can be inferred from timely multi-wavelength observations.

Milisavljevic, Dan; Margutti, Raffaella; Soderberg, Alicia M.; Chomiuk, Laura; Sanders, Nathan E. [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States)] [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); Pignata, Giuliano; Bufano, Filomena [Departamento de Ciencias Fisicas, Universidad Andres Bello, Avda. Republica 252, Santiago (Chile)] [Departamento de Ciencias Fisicas, Universidad Andres Bello, Avda. Republica 252, Santiago (Chile); Fesen, Robert A.; Parrent, Jerod T. [Department of Physics and Astronomy, Dartmouth College, 6127 Wilder Lab, Hanover, NH 03755 (United States)] [Department of Physics and Astronomy, Dartmouth College, 6127 Wilder Lab, Hanover, NH 03755 (United States); Parker, Stuart [Parkdale Observatory, 225 Warren Road, RDl Oxford, Canterbury 7495 (New Zealand)] [Parkdale Observatory, 225 Warren Road, RDl Oxford, Canterbury 7495 (New Zealand); Mazzali, Paolo [Max-Planck-Institut fuer Astrophysik, Karl-Schwarzschild-Strasse 1, D-85748 Garching (Germany)] [Max-Planck-Institut fuer Astrophysik, Karl-Schwarzschild-Strasse 1, D-85748 Garching (Germany); Pian, Elena [Kavli Institute for Theoretical Physics, Kohn Hall, University of California at Santa Barbara, Santa Barbara, CA 93106-4030 (United States)] [Kavli Institute for Theoretical Physics, Kohn Hall, University of California at Santa Barbara, Santa Barbara, CA 93106-4030 (United States); Pickering, Timothy; Buckley, David A. H.; Crawford, Steven M.; Gulbis, Amanda A. S.; Hettlage, Christian [South African Astronomical Observatory, P.O. Box 9, Observatory 7935, Cape Town (South Africa)] [South African Astronomical Observatory, P.O. Box 9, Observatory 7935, Cape Town (South Africa); Hooper, Eric; Nordsieck, Kenneth H. [Department of Astronomy, University of Wisconsin, Madison, WI 53706 (United States)] [Department of Astronomy, University of Wisconsin, Madison, WI 53706 (United States); O'Donoghue, Darragh, E-mail: dmilisav@cfa.harvard.edu [Southern African Large Telescope, P.O. Box 9, Observatory 7935, Cape Town (South Africa)] [Southern African Large Telescope, P.O. Box 9, Observatory 7935, Cape Town (South Africa); and others

2013-04-10T23:59:59.000Z

432

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

Hydraulic Fracturing and Horizontal Gas Well Drilling Reference List Updated June 23, 2011. References to popular press and advocacy groups, both of which are numerous and described in detail elsewhere of Hydraulic Fracturing in the Shale Plays (2010). Tudor Pickering Holt & Co with Reservoir Research Partners

433

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

years experience in a food service operation. One year experience ordering and maintaining inventories: Excellent communication, customer service and interpersonal skills. Demonstrated familiarity with food items or 4B) (12 month, full-time, 1 st shift) DEPARTMENT: DINING SERVICES HOURLY RATE: $16.21 (Appendix A

Endres. William J.

434

Rapid classification of biological components  

DOE Patents [OSTI]

A method is disclosed for analyzing a biological sample by antibody profiling for identifying forensic samples or for detecting the presence of an analyte. In an illustrative embodiment of the invention, the analyte is a drug, such as marijuana, cocaine, methamphetamine, methyltestosterone, or mesterolone. The method involves attaching antigens to the surface of a solid support in a preselected pattern to form an array wherein the locations of the antigens are known; contacting the array with the biological sample such that a portion of antibodies in the sample reacts with and binds to antigens in the array, thereby forming immune complexes; washing away antibodies that do form immune complexes; and detecting the immune complexes, thereby forming an antibody profile. Forensic samples are identified by comparing a sample from an unknown source with a sample from a known source. Further, an assay, such as a test for illegal drug use, can be coupled to a test for identity such that the results of the assay can be positively correlated to the subject's identity.

Thompson, Vicki S.; Barrett, Karen B.; Key, Diane E.

2006-01-24T23:59:59.000Z

435

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

for maintenance and custodial operations. Prepare maintenance and custodial inspection reports. Conduct RATE: $18.78 EXEMPT (Y/N): NO SUPERVISOR: ASSOCIATE ATHLETIC DIRECTOR, FACILITIES & OPERATIONS SUMMARY: Accountable for supervision and maintenance of all operating units in the SDC, MacInnes Ice Arena, Child Care

Endres. William J.

436

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

, pumps, heating systems, plumbing, etc. Conduct daily operational inspections of doors, snow conditions

437

Rapid classification of biological components  

DOE Patents [OSTI]

A method is disclosed for analyzing a biological sample by antibody profiling for identifying forensic samples or for detecting the presence of an analyte. In an illustrative embodiment of the invention, the analyte is a drug, such as marijuana, Cocaine (crystalline tropane alkaloid), methamphetamine, methyltestosterone, or mesterolone. The method involves attaching antigens of the surface of a solid support in a preselected pattern to form an array wherein the locations of the antigens are known; contacting the array with the biological sample such that a portion of antibodies in the sample reacts with and binds to antigens in the array, thereby forming immune complexes; washing away antibodies that do not form immune complexes; and detecting the immune complexes, thereby forming an antibody profile. Forensic samples are identified by comparing a sample from an unknown source with a sample from a known source. Further, an assay, such as a test for illegal drug use, can be coupled to a test for identity such that the results of the assay can be positively correlated to a subject's identity.

Thompson, Vicki S. (Idaho Falls, ID); Barrett, Karen B. (Meridian, ID); Key, Diane E. (Idaho Falls, ID)

2010-03-23T23:59:59.000Z

438

Rapid classification of biological components  

DOE Patents [OSTI]

A method is disclosed for analyzing a biological sample by antibody profiling for identifying forensic samples or for detecting the presence of an analyte. In an illustrative embodiment of the invention, the analyte is a drug, such as marijuana, cocaine (crystalline tropane alkaloid), methamphetamine, methyltestosterone, or mesterolone. The method involves attaching antigens to a surface of a solid support in a preselected pattern to form an array wherein the locations of the antigens are known; contacting the array with the biological sample such that a portion of antibodies in the sample reacts with and binds to antigens in the array, thereby forming immune complexes; washing away antibodies that do not form immune complexes; and detecting the immune complexes, thereby forming an antibody profile. Forensic samples are identified by comparing a sample from an unknown source with a sample from a known source. Further, an assay, such as a test for illegal drug use, can be coupled to a test for identity such that the results of the assay can be positively correlated to a subject's identity.

Thompson, Vicki S. (Idaho Falls, ID); Barrett, Karen B. (Meridian, ID); Key, Diane E. (Idaho Falls, ID)

2010-03-23T23:59:59.000Z

439

Classification of macroscopic quantum effects  

E-Print Network [OSTI]

We review canonical experiments on systems that have pushed the boundary between the quantum and classical worlds towards much larger scales, and discuss their unique features that enable quantum coherence to survive. Because the types of systems differ so widely, we use a case by case approach to identifying the different parameters and criteria that capture their behaviour in a quantum mechanical framework. We find it helpful to categorise systems into three broad classes defined by mass, spatio-temporal coherence, and number of particles. The classes are not mutually exclusive and in fact the properties of some systems fit into several classes. We discuss experiments by turn, starting with interference of massive objects like macromolecules and micro-mechanical resonators, followed by self-interference of single particles in complex molecules, before examining the striking advances made with superconducting qubits. Finally, we propose a theoretical basis for quantifying the macroscopic features of a system to lay the ground for a more systematic comparison of the quantum properties in disparate systems.

Tristan Farrow; Vlatko Vedral

2014-06-03T23:59:59.000Z

440

Video occupant detection and classification  

DOE Patents [OSTI]

A system for determining when it is not safe to arm a vehicle airbag by storing representations of known situations as observed by a camera at a passenger seat; and comparing a representation of a camera output of the current situation to the stored representations to determine the known situation most closely represented by the current situation. In the preferred embodiment, the stored representations include the presence or absence of a person or infant seat in the front passenger seat of an automobile.

Krumm, John C. (Albuquerque, NM)

1999-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "understood sanyal classification" 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

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

support for MTRI programs focused on the application of programming and geospatial analysis to solving governmental and societal needs through sponsored research. The ability to connect geospatial models research projects. Understand geospatial and remote sensing concepts that enable appropriate integration

442

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

. Experience with GIS and geospatial analysis. Experience with data collection and analysis. Experience of sensor and information technology through mathematical and statistical analysis. The position is based

443

Nonlinear classification of Banach spaces  

E-Print Network [OSTI]

Hilbert space when p> 2. We then build upon the method of this proof to show that a quasi-Banach space coarsely embeds into a Hilbert space if and only if it is isomorphic to a subspace of L0(??) for some probability space (?,B,??)....

Randrianarivony, Nirina Lovasoa

2005-11-01T23:59:59.000Z

444

Frugal hypothesis testing and classification  

E-Print Network [OSTI]

The design and analysis of decision rules using detection theory and statistical learning theory is important because decision making under uncertainty is pervasive. Three perspectives on limiting the complexity of decision ...

Varshney, Kush R. (Kush Raj)

2010-01-01T23:59:59.000Z

445

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

areas and buildings to maintain the various structures including electrical systems, machines, pumps, and sweat fittings, and perform routine carpentry, plumbing, and electrical work. Conduct monthly readings to maintain a neat, clean and well-organized area. Perform general maintenance and repair work in the assigned

446

Classification I September 20, 2005  

E-Print Network [OSTI]

: Thesis comments and corrections Subject: IRIS In-kind contributions etc Subject: neighbourhood components, Mr. Roweis Subject: your phd thesis Subject: depth draft & volume paper & volume reviews Subject: Re of projected gradient methods Subject: Re: image restoration Subject: blind deconvolution Subject: L1-norm

Roweis, Sam

447

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

of datacenter power, cooling, and storage systems. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. Architect and implement datacenter systems including various switching arrays. Experience configuring and managing datacenter equipment such as PDUs, UPSs, AC units, KVM

Endres. William J.

448

Mixtec plant nomenclature and classification  

E-Print Network [OSTI]

Capsicum pubescens L. , SOLANACEAE yutu tuyaía kuŠn: la matade chile amarillo (PIN) tuyaía: chili plants (JAM) chŠía:nikaíndi yaía: chilar (CAB) tuyaía (COI) Clethra mexicana

de Avila, Alejandro

2010-01-01T23:59:59.000Z

449

Defect Classification Using Machine Learning  

SciTech Connect (OSTI)

Laser-induced damage growth on the surface of fused silica optics has been extensively studied and has been found to depend on a number of factors including fluence and the surface on which the damage site resides. It has been demonstrated that damage sites as small as a few tens of microns can be detected and tracked on optics installed a fusion-class laser, however, determining the surface of an optic on which a damage site resides in situ can be a significant challenge. In this work demonstrate that a machine-learning algorithm can successfully predict the surface location of the damage site using an expanded set of characteristics for each damage site, some of which are not historically associated with growth rate.

Carr, A; Kegelmeyer, L; Liao, Z M; Abdulla, G; Cross, D; Kegelmeyer, W P; Raviza, F; Carr, C W

2008-10-24T23:59:59.000Z

450

Automated classification of power signals  

E-Print Network [OSTI]

The Non-Intrusive Load Monitor (NILM) is a device that utilizes voltage and current measurements to monitor an entire system from a single reference point. The NILM and associated software convert the V/I signal to spectral ...

Proper, Ethan R. (Ethan Richard)

2008-01-01T23:59:59.000Z

451

Texas Show Steer Breed Classification  

E-Print Network [OSTI]

. Blaze or streak face. A wide strip of white down the face to the muzzle. Bos indicus (zebu). Subspecies of cattle originating in south Asia; has a prominent hump on top or in front of shoulder. Bos taurus. Subspecies of cattle; originated in west...

Cleere, Jason; Mazurkiewicz, Jim; Hammack, Stephen P.

2008-02-28T23:59:59.000Z

452

Position Classification | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen OwnedofDepartmentEnergy General Paducah3220.3DOEconstruction12,1, 2015

453

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

, operating and maintenance instructions, and procedure manuals. Ability to complete routine reports. Ability standard bulk mail, process and distribute incoming/outgoing mail and shipments in a timely, efficient. Sort and dispatch bulk mailings for university departments and organizations. Operate mailing equipment

Endres. William J.

454

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

academic information and reports from Banner and Discoverer. Operate basic office equipment including personal computers, printers, copy machine, and fax machine. Arrange for rooms, equipment, and misc. QUALIFICATION REQUIREMENTS: To perform this job successfully, an individual must be able to perform each

Endres. William J.

455

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

of food service to include food preparation and production, including customer service, equipment. Operate all equipment used in preparation and production of menu items employing safety procedures be exercised over student assistants and other support staff. QUALIFICATION REQUIREMENTS: To perform this job

Endres. William J.

456

E-Print Network 3.0 - ajith abraham mario Sample Search Results  

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

mario Page: << < 1 2 3 4 5 > >> 1 Security Scheme for Malicious Node Detection in Mobile Ad Hoc Networks Summary: , Dhaval Gada1 , Rajat Gogri1 , Zalak Dedhia1 , Sugata Sanyal2 ,...

457

E-Print Network 3.0 - ajith abraham katrin Sample Search Results  

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

katrin Page: << < 1 2 3 4 5 > >> 1 Security Scheme for Malicious Node Detection in Mobile Ad Hoc Networks Summary: , Dhaval Gada1 , Rajat Gogri1 , Zalak Dedhia1 , Sugata Sanyal2 ,...

458

Assessment of Exploitable Geothermal Resources Using Magmatic...  

Open Energy Info (EERE)

parameter in the magmatic transfer method. The method of magmatic heat transfer (Smith and Shaw, 1975; Sanyal et al., 2002) was applied in the main volcanic complexes of the...

459

International Journal of Computer Applications (0975 8887) Volume 40 No.15, February 2012  

E-Print Network [OSTI]

of Technology Kolkata, India Rituparna Chaki West Bengal University of Technology Kolkata, India Sugata Sanyal comes in the form of sending useless control traffic and forces the nodes to forgo their sleep cycles so

Sanyal, Sugata

460

The effects of grazing regime on coyote-sheep relationships in southwest Texas  

E-Print Network [OSTI]

OF SCIENCE December T975 Major Subject: Wildlife and Fisheries Science THE EFFECTS OF GRAZING REGIME ON COYOTE-SHEEP RELATIONSHIPS IN SOUTHWEST TEXAS A Thesis by NIKHIL KRISHNAJIBAN SANYAL Approved as to style and content by: Chairman of Committee... (Head of Department ( Member ( Member December 1975 ABSTRACT The Effects of Grazing Regime on Coyote-Sheep Relationships In Southwest Texas. ( December 1975 ivikhil Krishnajiban Sanyal, B. Sc. (Honors) University of Gauhati Chairman of Advisory...

Sanyal, Nikhil Krishnajiban

1975-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "understood sanyal classification" 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

Robustness of RISMC Insights under Alternative Aleatory/Epistemic Uncertainty Classifications: Draft Report under the Risk-Informed Safety Margin Characterization (RISMC) Pathway of the DOE Light Water Reactor Sustainability Program  

SciTech Connect (OSTI)

The Risk-Informed Safety Margin Characterization (RISMC) pathway is a set of activities defined under the U.S. Department of Energy (DOE) Light Water Reactor Sustainability Program. The overarching objective of RISMC is to support plant life-extension decision-making by providing a state-of-knowledge characterization of safety margins in key systems, structures, and components (SSCs). A technical challenge at the core of this effort is to establish the conceptual and technical feasibility of analyzing safety margin in a risk-informed way, which, unlike conventionally defined deterministic margin analysis, would be founded on probabilistic characterizations of uncertainty in SSC performance. In the context of probabilistic risk assessment (PRA) technology, there has arisen a general consensus about the distinctive roles of two types of uncertainty: aleatory and epistemic, where the former represents irreducible, random variability inherent in a system, whereas the latter represents a state of knowledge uncertainty on the part of the analyst about the system which is, in principle, reducible through further research. While there is often some ambiguity about how any one contributing uncertainty in an analysis should be classified, there has nevertheless emerged a broad consensus on the meanings of these uncertainty types in the PRA setting. However, while RISMC methodology shares some features with conventional PRA, it will nevertheless be a distinctive methodology set. Therefore, the paradigms for classification of uncertainty in the PRA setting may not fully port to the RISMC environment. Yet the notion of risk-informed margin is based on the characterization of uncertainty, and it is therefore critical to establish a common understanding of uncertainty in the RISMC setting.

Unwin, Stephen D.; Eslinger, Paul W.; Johnson, Kenneth I.

2012-09-20T23:59:59.000Z

462

On the classification of fusion rings  

E-Print Network [OSTI]

The fusion rules and modular matrix of a rational conformal field theory obey a list of properties. We use these properties to classify rational conformal field theories with not more than six primary fields and small values of the fusion coefficients. We give a catalogue of fusion rings which can arise for these field theories. It is shown that all such fusion rules can be realized by current algebras. Our results support the conjecture that all rational conformal field theories are related to current algebras.

D. Gepner; A. Kapustin

1994-10-13T23:59:59.000Z

463

Photon level chemical classification using digital compressive ...  

E-Print Network [OSTI]

Oct 12, 2012 ... dynamic chemical processes, is the time required to collect and analyze hyperspectral ..... Section 3.2 for more information) using functions from Matlab 7.13 ..... ically simulated score plot for the n-hexane/methylcyclohexane.

David S. Wilcox

2012-11-09T23:59:59.000Z

464

Terrain Characterization and Classification with a Mobile  

E-Print Network [OSTI]

, commonly known categories, such as gravel, sand, or as- phalt. Terrain characterization, on the other hand aims at associating terrain with well-defined categories, such as gravel, sand, or dirt. A related for a turn is lower when driving over sand or wet grass than when driving on packed dirt or asphalt. In order

Borenstein, Johann

465

Miminum Exposure in Classification Scenarios Nicolas Anciaux*,**  

E-Print Network [OSTI]

in the event of data breaches. 1. INTRODUCTION A massive digitalization of personal information is currently for example Plug servers4 , Personal Data Servers [6], Nori5 , or Personal Data Ecosystem6 . This thriving +30 210 8203 519 mvazirg@aueb.gr ABSTRACT Personal information about applicants is often requested

Paris-Sud XI, Université de

466

Validating Collective Classification Using Cohorts , Abdullah Sonmez  

E-Print Network [OSTI]

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

Pratt, Vaughan

467

Fire Classifications Fires involving the ordinary  

E-Print Network [OSTI]

, plastics, etc. Fires involving combustible or flammable liquids such as gasoline, kerosene, oils, grease is protected by various devices such as smoke detectors, sprinkler systems, and manual fire alarm pull stations. Manual pull stations are strategically located throughout the University. Usually located by each exit

Jia, Songtao

468

General Engineer / Physical Scientist (Classification Analyst)  

Broader source: Energy.gov [DOE]

A successful candidate in this position will serve as a General Engineer or Physical Scientist in the Materials Control & Accountability and Information Security Branch, Office of Assistant...

469

Solar Panel Anomaly Detection and Classification.  

E-Print Network [OSTI]

??The number of solar panels deployed worldwide has rapidly increased. Solar panels are often placed in areas not easily accessible. It is also difficult forÖ (more)

Hu, Bo

2012-01-01T23:59:59.000Z

470

QRS classification using support vector machine.  

E-Print Network [OSTI]

??An electrocardiogram (ECG or EKG) is a test that shows the nature of heart conditions by measuring electrical activity of the heart. This has beenÖ (more)

Kadkhodayan, Triti

2015-01-01T23:59:59.000Z

471

A fundamental approach for storage commodity classification  

E-Print Network [OSTI]

W/m 2 K) ?H c Heat of Combustion (J/kg) ?H g Heat ofvarious impetuses (i.e. heat of combustion) for burning to am ? f ) and effective heat of combustion, ?H c [24]. The HRR

Gollner, Michael J.

2010-01-01T23:59:59.000Z

472

Multiclass Classification of Distributed Memory Parallel Computations  

E-Print Network [OSTI]

95616 b Abstract High Performance Computing (HPC) is a ?eldorganizing maps, High performance computing, Communicationpowerful known High Performance Computing (HPC) systems in

Whalen, Sean; Peisert, Sean; Bishop, Matt

2012-01-01T23:59:59.000Z

473

A fundamental approach for storage commodity classification  

E-Print Network [OSTI]

Combustion (J/kg) ?H g Heat of Gasification (J/kg) k ThermalH c ) to the heat of gasification (?H g ) shown in table 2.3and ?H g is its heat of gasification. Polymer ?H c (kJ/g) ?H

Gollner, Michael J.

2010-01-01T23:59:59.000Z

474

Electrochemical Biosensors: Recommended Definitions and Classification  

E-Print Network [OSTI]

of the general signiģcance of the word, a transducer provides bidirectional signal transfer (non-electrical to electrical and vice versa); the transducer part of a sensor is also called a detector, sensor or electrode, but the term transducer is preferred... with an electrochemical transducer (Table 2). It is considered to be a chemically modiģed electrode (CME) [4,5] as electronic conducting, semiconducting or ionic conducting material is coated with a biochemical ģlm. A biosensor is an integrated receptorĪtransducer device...

Wilson, George S.; Thé venot, Daniel R.; Toth, Klara; Durst, Richard A.

1999-01-01T23:59:59.000Z

475

Functional data analysis: classification and regression  

E-Print Network [OSTI]

processes, one needs to write X(t) as a function X(?,t) of two variables ? and t. For fixed t ? T, the function X(?,t) is a measurable map from ? into R. For fixed ? ? ?, the function X(?,?) becomes a sample path of the 3 stochastic process. Denoted by ?(t... substructure. The di?culty in implementing the idea is that information of the structure of P X is rarely available. An alternative in FDA setting to avoid the di?culty is to consider function spaces where sample paths reside in. With fixed ?, a sample path X(?,t...

Lee, Ho-Jin

2005-11-01T23:59:59.000Z

476

A Reduction from Apprenticeship Learning to Classification  

E-Print Network [OSTI]

, if the learned classifier has error rate , the difference between the value of the apprentice's policy, called the apprentice, is able to observe another agent, called the expert, behaving in a Markov Decision Process (MDP). The goal of the apprentice is to learn a policy that is at least as good as the expert

Schapire, Robert

477

Leveraging Interlingual Classification to Improve Web Search  

E-Print Network [OSTI]

of the doc- uments. Our experimental results on German and French languages show the effectiveness of using or French) using data from an assisting language (e.g., English). There are two general approaches, which are aligned in multiple languages. The ODP categories are available in a broad variety

Dumais, Susan

478

Position Management and Classification (Informational Purposes Only)  

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

This draft has been scheduled for final review before the Directives Review Board on 02/5/2015. All major comments and concerns should be provided to your DRB representative by 02/3/2015, following your organization process. If you do not know who your representative is, please see the list of DRB members. If your office is represented by Ingrid Kolb, Director, Office of Management, please submit your major concerns and comments to the DRB Liaison, Camille Beben (Camille.Beben@hq.doe.gov; 202-586-1014).

2015-01-26T23:59:59.000Z

479

Presented by Campus Services Object Code Classifications  

E-Print Network [OSTI]

) Decrease expense from the wrong object code (From) Example: Expensed a service contract that covered 12

Stephens, Graeme L.

480

Linear feature selection for multipopulation classification  

E-Print Network [OSTI]

0. 308 0. 798 -0. 015 0. 008 0. 654 -0. 015 1. 027 (15. 666 46. 514 5. 721 42. 077) P pl ' 2-~D' d dh' d th 0. 406 0. 197 0. 035 0. 144 0 197 1. 020 -0. 04242 0. 919 0. 035 -0. 044 0. 629 -0. 118 0. 144 0. 919 -0. 118 1. 122 (17. 336 46. 110... function p. (x) = (2n) (Z. ~ exp ? ? (x ? W. ) Z. (x ? p ) , i=1, 2, 3. -n/2 -1/2 1 T -1 i i i i i We assume that the mean vectors Wl, p, W3 and covariance matrices Z]Z2Z3 are known with Z, i =1, 2, 3, positive definite 1 The symbol ~ ( is used...

Havens, Kathryn Anne

1974-01-01T23:59:59.000Z

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


481

Characterization and classification of malicious Web traffic  

E-Print Network [OSTI]

Microsoft, Redmond, WA, USA c KeyLogic Systems, Morgantown, WV, USA a r t i c l e i n f o Article history

Goseva-Popstojanova, Katerina

482

Classification with Guaranteed Probability of Error  

E-Print Network [OSTI]

Like pulling down one end of a rope wrapped around a pulley lifts the other end, ... by the ideal GEM algorithm, except that the artificial unknown region is not introduced. ...... An optimum character recognition system using decision functions.

2009-03-16T23:59:59.000Z

483

Classification of Seafloor Habitats using Genetic Programming  

E-Print Network [OSTI]

habitats. The initial motivation to use GP for this task came from a work on diesel engine diagnosis [11 are not made or distributed for profit or commercial advantage and that copies bear this notice and the full

Fernandez, Thomas

484

Groundwater Classification and Standards (North Carolina)  

Broader source: Energy.gov [DOE]

The rules established in this Subchapter 2L of North Carolina Administrative Code Title 15A are intended to maintain and preserve the quality of the groundwaters, prevent and abate pollution and...

485

Universal Membrane Classification Scheme: Maximizing the Return...  

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

at high temperatures, allowing for conduction at high temperature-low RH, micronano-engineering approach - by designing physical structure of materials ( ie pores, or...

486

Optimization Online - Dimensionality Reduction for Classification ...  

E-Print Network [OSTI]

Citation: This paper is published in Lecture Notes in Artificial Intelligence 5139, p411-418, Springer. Download: Entry Submitted: 04/23/2008. Entry Accepted:†...

Frank Plastria

487

Supervised classification of microbiota mitigates mislabeling errors  

E-Print Network [OSTI]

of DNA sequencing technologies and concomitant advances in bioinfor- matics methods are revolutionizing to be useless, but what if only a few of the labels are wrong? After intentionally mislabeling samples

Kelley, Scott

488

Bovine enteroviruses: classification and serological characterization  

E-Print Network [OSTI]

purified and subsequently reserotyped using plaque reduction and virus neutralization test. The results of serotyping remained unchanged suggesting intramolecular recombination following multiple infection with bovine enterovirus serotypes... through seven (BEV 1-7) received from Dr. S. B. Mohanty. Each reference virus types was b further plaque purified in our laboratory. Virus pools of each BEV type were produced in monolayers of bov1ne turbinate (Bttu) cells, titrated and stored at -90 C...

Samal, Siba Kumar

1981-01-01T23:59:59.000Z

489

Graphene, its Homologues and Their Classification  

E-Print Network [OSTI]

Using tight binding model, lattice QFT and group theory methods, we study a class of lattice QFT models that are cousins of graphene; and which are classified by finite dimensional ADE Lie groups containing the usual crystallographic symmetries as discrete subgroups. We show in particular that the electronic properties of the 1D lattice poly-acetylene chain are given by a SU(2) model and those of the well known 2D graphene by SU(3). We also give two other models classified by SU(4) and SO(6) symmetries; they respectively describe 3D diamond and 3D lattice with octahedral sites. It is shown as well that the dispersion energies of this set of models are completely characterized by the roots of the Lie algebras underlying the symmetry groups. Other features, such as SO(5) lattice involving sp^{3}d hybridization as well as the relation between the 4D hyperdiamond, having a SU(5) symmetry and the 4D lattice QCD, are also discussed.

Lalla Btissam Drissi; El Hassan Saidi

2011-06-29T23:59:59.000Z

490

Classification Training Institute | Department of Energy  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy UsageAUDITVehiclesTankless orAChief Medical Officer ChiefDepartment

491

WNClASSIflfO CLASSIFICATION CANCELLED  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism inS-4500IIVasudhaSurface.Laboratory30, 2014WIPP's ScottWNClASSIflfO ^

492

Waste Classification FAQ DRAFT.docx  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism inS-4500IIVasudhaSurface.Laboratory30,WP-073.99 4.22 3.96Department

493

EPA - UIC Well Classifications | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address:011-DNA Jump37. It is classified as ASHRAEDuvalJustice webpage JumpNPDES Program

494

National Geothermal Resource Assessment and Classification  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in3.pdfEnergy HealthCommentsAugust 2012NEVADA SPARKSNVEnergyDesign and TestingProgram

495

Office of Classification | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen OwnedofDepartment ofJaredOakscience-based,OHAGas and OilDepartment of361 Page

496

hybrid approach for classification based multimedia retrieval  

E-Print Network [OSTI]

Feng,Y. 3rd International Conference on Semantic and Digital Media Technologies, SAMT 2008, Koblenz, Germany

Feng, Y.

497

Investigating a Breach of Research Integrity Classification  

E-Print Network [OSTI]

the procedures set out in the Integrity in Scholarly Activity Policy and the Procedures for Protected Disclosure of these procedures. Page 1 of 6 #12;c) "Dean" means the dean(s) of the faculty(ies) in which the Respondent holds to the Protected Disclosure Coordinator: a) an inquiry regarding a breach of Research integrity; b) an allegation

de Leon, Alex R.

498

Assistant, Associate, or Full Professor Classification Information  

E-Print Network [OSTI]

400060 Working Title Assistant, Associate, or Full Professor Advertised Employing Department Statistics of Months Employed Per Year 9 Summary of Duties and Responsibilities The Department of Statistics at Iowa Appointment Type Faculty - Tenure-Eligible Base of Employment B - Faculty (9 Months) Full or Part Time Full

Carriquiry, Alicia

499

Benefits Summary - Temporary Job Classification | Argonne National  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground8.0.1Vulture ChemistryBeller,

500

ARM - Evaluation Product - Cloud Classification VAP  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcal Documentation(AVIRIS) ProductsAirborne Visible/Infrared Imaging Spectrometer (AVIRIS)ProductsCloud