Sample records for work classification wage

  1. From Higher Education to Work in West Virginia Summary results for work participation and wages with

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    From Higher Education to Work in West Virginia 2011 Summary results for work participation and Economic Research College of Business and Economics West Virginia University © Copyright 2013 WVU Research Corporation Funding for this research was provided by the West Virginia Higher Education Policy Commission

  2. WORKING PAPER N 2008 -06 Trade, technology adoption and wage inequalities

    E-Print Network [OSTI]

    Boyer, Edmond

    . Keywords: Firm heterogeneity, trade reforms, technology adoption, skill premium, plant panel data. JELWORKING PAPER N° 2008 - 06 Trade, technology adoption and wage inequalities: theory and evidence Maria Bas JEL Codes: F10, F12, F41 Keywords: firm heterogeneity, trade reforms, technology adoption

  3. Davis-Bacon Act Wage Rates for ARRA-Funded State Energy Program...

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

    Davis-Bacon Act Wage Rates for ARRA-Funded State Energy Program Projects Involving Residential Weatherization Work Davis-Bacon Act Wage Rates for ARRA-Funded State Energy Program...

  4. Economic Reforms and Gender-based Wage Inequality in the Presence of Factor Market Distortions

    E-Print Network [OSTI]

    Bandyopadhyay, Antar

    1 Economic Reforms and Gender-based Wage Inequality in the Presence of Factor Market Distortions-based wage inequality. The analysis finds that credit market reform and tariff reform produce favourable reforms, general equilibrium. JEL classifications: D50, J16, F21. The authors are thankful to Prof

  5. DAVIS-BACON ACT WAGE RATES FOR ARRA-FUNDED ENERGY EFFICIENCY...

    Energy Savers [EERE]

    (EECBG) PROGRAM PROJECTS INCLUDING RESIDENTIAL WEATHERIZATION WORK DAVIS-BACON ACT WAGE RATES FOR ARRA-FUNDED ENERGY EFFICIENCY AND CONSERVATION BLOCK GRANT (EECBG) PROGRAM...

  6. DAVIS-BACON ACT WAGE RATES FOR ARRA-FUNDED STATE ENERGY PROGRAM...

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

    PROGRAM (SEP) PROJECTS INCLUDING RESIDENTIAL WEATHERIZATION WORK DAVIS-BACON ACT WAGE RATES FOR ARRA-FUNDED STATE ENERGY PROGRAM (SEP) PROJECTS INCLUDING RESIDENTIAL...

  7. An exploratory study of the effects of job characteristics on wage determination and wage differentials between workers in male-dominated and female-dominated occupations

    E-Print Network [OSTI]

    Allen, William Keith

    1984-01-01T23:59:59.000Z

    in construct validity. Past studies in the area of wage determination and wage differentials have ttvually looked at wage differentials between men and women. After the introduction of legislation such as the Equal Pay Act of 1963 and Title VII of the Civil... the passage oi' the Equal Pay Act of 1963 and at that time it wss not unusual to find men receiving higher wages than women for virtually the same work). The results of studies by McNulty (1967) and Buckley (1971) support Fuchs' (1971) findings...

  8. Optimal taxation with endogenous wages

    E-Print Network [OSTI]

    Stantcheva, Stefanie

    2014-01-01T23:59:59.000Z

    This thesis consists of three chapters on optimal tax theory with endogenous wages. Chapter 1 studies optimal linear and nonlinear income taxation when firms do not know workers' abilities, and competitively screen them ...

  9. Position Management and Classification

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

    2015-04-01T23:59:59.000Z

    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.

  10. Davis-Bacon Act Wage Rates for ARRA-Funded Energy Efficiency and Conservation Block Grants Program Projects Involving Residential Weatherization Work

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No53197 This work wasofFederalDepartment's6,ENERGY EFFICIENCY

  11. High Wage Jobs Tax Credit (New Mexico)

    Broader source: Energy.gov [DOE]

    A taxpayer who is an eligible employer may apply for and receive a tax credit for each new high-wage economic-based job. The credit amount equals 10% of the wages and benefits paid for each new...

  12. WAGES, FLEXIBLE EXCHANGE RATES, AND MACROECONOMIC POLICY*

    E-Print Network [OSTI]

    WAGES, FLEXIBLE EXCHANGE RATES, AND MACROECONOMIC POLICY* JEFFREY SACHS In an open economy with a floaLing exchange rate, the efficacy of fiscal and monetary policy depends fundamentally on the wage rate depreciation, while fiscal expansion has no output effect. These results hold only when real wages

  13. WageWorks Screen Shot(s)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >Internship Program TheSiteEureka AnalyticsLargeHome Page

  14. La protection des working poor en Grande-Bretagne. Des Wages Councils au salaire minimum interprofessionnel , in, Brigitte LESTRADE, directrice de publication, Travail et Prcarit, les Working poor en Europe, Paris : l'Harmattan collection Logiques

    E-Print Network [OSTI]

    Boyer, Edmond

    Europe, Paris : l'Harmattan collection »Logiques Sociales », 2011, pp. 241-257. 1 hal-01018541,version1 et Précarité, les « Working poor » en Europe, Paris : l'Harmattan collection »Logiques Sociales

  15. EMPLOYEE RIGHTSUNDER THE FAIR LABOR STANDARDS ACT THE UNITED STATES DEPARTMENT OF LABOR WAGE AND HOUR DIVISION

    E-Print Network [OSTI]

    Subramanian, Venkat

    EMPLOYEE RIGHTSUNDER THE FAIR LABOR STANDARDS ACT THE UNITED STATES DEPARTMENT OF LABOR WAGE AND HOUR DIVISION FEDERAL MINIMUM WAGE At least 1 times your regular rate of pay for all hours worked over be assessed for each child labor violation that causes the death or serious injury of any minor employee

  16. Evolution of gender wage gap in Peru, 1997-2000

    E-Print Network [OSTI]

    Montes, Jose L.

    2009-05-15T23:59:59.000Z

    . The wage differential due to gender, and not to differences in labor characteristics, is called discrimination. The goal of this project is to estimate the evolution of the wages differentials and wage discrimination between males and females in Peru within...

  17. How to Find More Supernovae with Less Work: Object Classification Techniques for Difference Imaging

    E-Print Network [OSTI]

    Bailey, Stephen; Aragon, Cecilia; Romano, Raquel; Thomas, Rollin C.; Weaver, Benjamin A.; Wong, Daniel

    2007-01-01T23:59:59.000Z

    How to Find More Supernovae with Less Work: Object Classi?methods: statistical supernovae: general techniques:for objects such as supernovae, active galactic nuclei,

  18. Do U.S. tariff reductions explain rising wage inequality?: The case of U.S. tariffs on imports from countries having free trade agreements with the U.S.

    E-Print Network [OSTI]

    Kitaoka, Hisaya

    2008-07-28T23:59:59.000Z

    source......................................................................................................... 24 B. Consistent industrial classification code (ASM-HK)......................................... 25 C. Panel data...: Mandated wage methodology............................................................... 102 Appendix II: ASM-HK code..................................................................................... 104 Appendix III: Description of ASM-HK code...

  19. Varieties of Inequality: Allocation, Distribution, and the Wage Disadvantages of Immigrant Workers

    E-Print Network [OSTI]

    Kesler, Christel

    2007-01-01T23:59:59.000Z

    of time since migration on wage percentile Men Effecton wage percentile Years since migrationWomen Effect on wage percentile Years since migration Sweden

  20. An Interplant Test of the Efficiency Wage Hypothesis

    E-Print Network [OSTI]

    Cappelli, Peter; Chauvin, Keith

    1991-08-01T23:59:59.000Z

    The analysis that follows tests the shirking model of efficiency wages by examining the relationship between rates of employee discipline and relative wage premiums across plants within the same firm. The structure of this ...

  1. Outsourcing and wage inequality in the home country

    E-Print Network [OSTI]

    Hsu, Kuang-Chung

    2009-05-15T23:59:59.000Z

    Happened to the Outsourcing Effect on Wage Inequality in the 1970s? I find that, in the 1970s, white-collar workers wages deteriorated and blue-collar workers wages were non-decreasing. R&D workers always benefit from outsourcing. Except computers...

  2. National Poverty Center Working Paper Series October, 2005

    E-Print Network [OSTI]

    Shyy, Wei

    National Poverty Center Working Paper Series #05-22 October, 2005 The Changing Pattern of Wage, Northwestern University This paper is available online at the National Poverty Center Working Paper Series of the National Poverty Center or any sponsoring agency. #12;The Changing Pattern of Wage Growth for Low Skilled

  3. Academic Achievement And Work In West

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    Average June 2009 Revised: December 2009 Prepared for the West Virginia Higher Education Policy Commission The Past Decade With ACT Score Available ..............................................5 2. Work .......................................................................................9 5. Annualized Wages For W.Va. Public Higher Education Graduates By ACT Score

  4. Security classification of information

    SciTech Connect (OSTI)

    Quist, A.S.

    1993-04-01T23:59:59.000Z

    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.

  5. Wage adjustment, competitiveness and unemployment East Germany after unification

    E-Print Network [OSTI]

    Pfeifer, Holger

    Wage adjustment, competitiveness and unemployment East Germany after unification Werner Smolny years after unification large differences of the labor market situation in East and West Germany persist adjustment in East Germany and the resulting development of competitiveness and unemployment differentials

  6. Wage inequality and the role of pre-market skills

    E-Print Network [OSTI]

    Steinberger, Michael Douglas

    2005-01-01T23:59:59.000Z

    This dissertation consists of three empirical studies, each using a measure of pre-market skills to examine an aspect of wage inequality in the U.S. labor market. Chapter One analyzes the factors associated with the change ...

  7. 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.

  8. 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.

  9. The Within-Job Motherhood Wage Penalty in Norway, 19791996

    E-Print Network [OSTI]

    Petersen, Trond; Penner, Andrew M.; Hgnsnes, Geir

    2010-01-01T23:59:59.000Z

    S. , & Paik, I. (2007). Getting a job: Is there a motherhood112, 12971338. Within-Job Motherhood Wage Penalty in NorwayNew York: New Press. Within-Job Motherhood Wage Penalty in

  10. Brain MRI Classification using the Expectation Maximization

    E-Print Network [OSTI]

    Chen, Tsuhan

    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

  11. Position Management and Classification

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

    2014-10-30T23:59:59.000Z

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

  12. Inequality at Work: The Effect of Peer Salaries on Job Satisfaction

    E-Print Network [OSTI]

    Card, David; Mas, Alexandre; Moretti, Enrico; Saez, Emmanuel

    2010-01-01T23:59:59.000Z

    Kuhn (2007). Does Pay Inequality A?ect Worker E?ort? Ex-Wage Structure and Earnings Inequality, Handbook of LaborNBER WORKING PAPER SERIES INEQUALITY AT WORK: THE EFFECT OF

  13. Individual and structural explanations of wage determination among employed women

    E-Print Network [OSTI]

    Colberg, Edli Erwin

    1983-01-01T23:59:59.000Z

    APPENDIX I. THE TREATMENT% OF INDEPENDENT VARIABLES IN THE MULTIPLE DUMMY ~SION ANALYSIS. . . . . . . . . . . . . . . . 102 APPENDIX II. THE MEASUREMENT OF LABOR FORCE ATTACHMENT. . 107 110 LIST OF TABLES TABLE 1. Hourly Wages by Formal Education.... ? tically over the past four decades. The rate of female parti- cipation in the labor force has more than doubled, increasing from approximately twenty-five percent in 1940 to over fifty per- cent in 1980 (U. S. Department of Labor, 1980). A corresponding...

  14. The Within-Job Motherhood Wage Penalty in Norway, 19791996

    E-Print Network [OSTI]

    Petersen, Trond; Penner, Andrew M.; Hgnsnes, Geir

    2010-01-01T23:59:59.000Z

    arbeid, velferdsstat. Oslo, Norway: Universitetsforlaget.NOS C 6. Oslo-Kongsvinger, Norway: Statistisk Sentralbyr.Job Motherhood Wage Penalty in Norway 28 Datta Gupta, N. , &

  15. Impacts of Trade on Wage Inequality in Los Angeles: Analysis Using Matched Employer-Employee Data

    E-Print Network [OSTI]

    Rigby, David L.; Breau, Sebastien

    2006-01-01T23:59:59.000Z

    1059. Chakravorty, S. 1996. Urban inequality revisited - TheP. B. 1989. Measuring inequality: a methodological handbook.outsourcing, and wage inequality. American Economic Review

  16. The Impact of Trade on Wage Inequality in Developing Countries: Technology vs. Comparative Advantage

    E-Print Network [OSTI]

    Bandyopadhyay, Antar

    The Impact of Trade on Wage Inequality in Developing Countries: Technology vs. Comparative: Wages, Inequality, Trade, Technology Transfer First draft, 20.09.2014 Summary During the expansion of world trade since the 1980s, measures of inequality have risen not only in developed countries, but also

  17. Wage and Job Dynamics After Welfare Reform: The Importance of Job Skills

    E-Print Network [OSTI]

    Shyy, Wei

    Wage and Job Dynamics After Welfare Reform: The Importance of Job Skills Rucker C. Johnson), and the Office of the Vice-President for Research at the University of Michigan. #12;Wage and Job Dynamics After Welfare Reform: The Importance of Job Skills Abstract I use data from employers and longitudinal data from

  18. A Thermodynamic Classification of Real Numbers

    E-Print Network [OSTI]

    Thomas Garrity

    2009-03-15T23:59:59.000Z

    A new classification scheme for real numbers is given, motivated by ideas from statistical mechanics in general and work of Knauf and of Fiala and Kleban in particular. Critical for this classification of a real number will be the Diophantine properties of its continued fraction expansion.

  19. HIV classification using coalescent theory

    SciTech Connect (OSTI)

    Zhang, Ming [Los Alamos National Laboratory; Letiner, Thomas K [Los Alamos National Laboratory; Korber, Bette T [Los Alamos National Laboratory

    2008-01-01T23:59:59.000Z

    Algorithms for subtype classification and breakpoint detection of HIV-I sequences are based on a classification system of HIV-l. Hence, their quality highly depend on this system. Due to the history of creation of the current HIV-I nomenclature, the current one contains inconsistencies like: The phylogenetic distance between the subtype B and D is remarkably small compared with other pairs of subtypes. In fact, it is more like the distance of a pair of subsubtypes Robertson et al. (2000); Subtypes E and I do not exist any more since they were discovered to be composed of recombinants Robertson et al. (2000); It is currently discussed whether -- instead of CRF02 being a recombinant of subtype A and G -- subtype G should be designated as a circulating recombination form (CRF) nd CRF02 as a subtype Abecasis et al. (2007); There are 8 complete and over 400 partial HIV genomes in the LANL-database which belong neither to a subtype nor to a CRF (denoted by U). Moreover, the current classification system is somehow arbitrary like all complex classification systems that were created manually. To this end, it is desirable to deduce the classification system of HIV systematically by an algorithm. Of course, this problem is not restricted to HIV, but applies to all fast mutating and recombining viruses. Our work addresses the simpler subproblem to score classifications of given input sequences of some virus species (classification denotes a partition of the input sequences in several subtypes and CRFs). To this end, we reconstruct ancestral recombination graphs (ARG) of the input sequences under restrictions determined by the given classification. These restritions are imposed in order to ensure that the reconstructed ARGs do not contradict the classification under consideration. Then, we find the ARG with maximal probability by means of Markov Chain Monte Carlo methods. The probability of the most probable ARG is interpreted as a score for the classification. To our knowledge, this particular problem was not addressed up to now. The software package Lamarc Kuhner et al. (2000) allows for sampling ARGs, but it assumes that recombination events only involve one breakpoint. However, in HIV recombinants usually have more than one breakpoint. Moreover, Lamarc does not perform an explicit breakpoint detection, but tries to find them by chance. Although this approach is suitable for most situations, it will not lead to satisfying results in case of highly recombining viruses with multiple breakpoints.

  20. 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.

  1. Wage differentials between East and West Germany Are they related to the location or to the people?

    E-Print Network [OSTI]

    Pfeifer, Holger

    Wage differentials between East and West Germany Are they related to the location or to the people help from the Federal Government large wage differences between East and West Germany still persist. We their income in both, East and West Germany, the effect of the location can be identified. The results indicate

  2. National Geothermal Resource Assessment and Classification |...

    Office of Environmental Management (EM)

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

  3. War and Wages: The Strength of Instrumental Variables and Their Sensitivity to Unobserved Biases

    E-Print Network [OSTI]

    Small, Dylan

    War and Wages: The Strength of Instrumental Variables and Their Sensitivity to Unobserved Biases during World War II on subsequent earnings, in which birth cohorts of very similar but not identical age were differently "encouraged" to serve in the war. A striking feature of this example is that those who

  4. Forthcoming in the American Journal of Agricultural Economics Efficiency Wages, Deferred Payments, and

    E-Print Network [OSTI]

    Perloff, Jeffrey M.

    practices in agriculture differ from those in other labor markets. For example, it may explain why some directly by the firm producing the final good.1 In contrast in agriculture, one in eight workers nationallyForthcoming in the American Journal of Agricultural Economics Efficiency Wages, Deferred Payments

  5. Class Discovery in Galaxy Classification

    E-Print Network [OSTI]

    David Bazell; David J. Miller

    2004-06-14T23:59:59.000Z

    In recent years, automated, supervised classification techniques have been fruitfully applied to labeling and organizing large astronomical databases. These methods require off-line classifier training, based on labeled examples from each of the (known) object classes. In practice, only a small batch of labeled examples, hand-labeled by a human expert, may be available for training. Moreover, there may be no labeled examples for some classes present in the data, i.e. the database may contain several unknown classes. Unknown classes may be present due to 1) uncertainty in or lack of knowledge of the measurement process, 2) an inability to adequately ``survey'' a massive database to assess its content (classes), and/or 3) an incomplete scientific hypothesis. In recent work, new class discovery in mixed labeled/unlabeled data was formally posed, with a proposed solution based on mixture models. In this work we investigate this approach, propose a competing technique suitable for class discovery in neural networks, and evaluate both methods for classification and class discovery on several astronomical data sets. Our results demonstrate up to a 57% reduction in classification error compared to a standard neural network classifier that uses only labeled data.

  6. Featureless Classification of Light Curves

    E-Print Network [OSTI]

    Kgler, Sven Dennis; Polsterer, Kai Lars

    2015-01-01T23:59:59.000Z

    In the era of rapidly increasing amounts of time series data, classification of variable objects has become the main objective of time-domain astronomy. Classification of irregularly sampled time series is particularly difficult because the data can not be represented naturally as a plain vector which directly can be fed into a classifier. In the literature, various statistical features derived from time series serve as a representation. Typically, the usefulness of the derived features is judged in an empirical fashion according to their predictive power. In this work, an alternative to the feature-based approach is investigated. In this new representation the time series is described by a density model. Similarity between each pair of time series is quantified by the distance between their respective models. The density model captures all the information available, also including measurement errors. Hence, we view this model as a generalisation to the static features which directly can be derived, e.g., as ...

  7. Program Title Electrical Safe Work Practices

    E-Print Network [OSTI]

    Pawlowski, Wojtek

    Program Title Electrical Safe Work Practices Program No. Classification Occupational Safety the next scheduled outage: ______________________________________________________________________________ _____________________________________________________________________________________ _____________________________________________________________________________________ ___________________________________________ __________________ Requester/Title Date PART II: TO BE COMPLETED BY THE ELECTRICALLY QUALIFIED PERSONS DOING THE WORK: (1

  8. Standard Subject Classification System

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

    1979-08-14T23:59:59.000Z

    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.

  9. MARS TERRAIN IMAGE CLASSIFICATION USING CARTESIAN GENETIC PROGRAMMING

    E-Print Network [OSTI]

    Fernandez, Thomas

    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

  10. Is There Really an Export Wage Premium? A Case Study of Los Angeles Using Matched Employer-Employee Data

    E-Print Network [OSTI]

    Breau, Sebastien; Rigby, David L.

    2006-01-01T23:59:59.000Z

    wage inequality: How much do exports matter? In Innovation,A.B. and J. Wagner 1997. Exports and success in GermanP. and N.N. Lundin 2003. Exports as an indicator on or

  11. The Role of Social Partners in Bargaining over Non-wage Issues across Austria, Greece and Italy.

    E-Print Network [OSTI]

    Rodriguez dAcri, Costanza; Johnston, Alison; Kornelakis, Andreas

    2009-01-01T23:59:59.000Z

    the bargaining over non-wage issues has developed within three European economies: Austria, Greece and Italy. Each is representative of a different variant of corporatism, and therefore we look at the ability of social partners with variable institutional...

  12. Genetic classification of petroleum basins

    SciTech Connect (OSTI)

    Demaison, G.; Huizinga, B.J.

    1989-03-01T23:59:59.000Z

    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.

  13. Impact of 2001 Building Technology, state and community programs on United States employment and wage income

    SciTech Connect (OSTI)

    MJ Scott; DJ Hostick; DB Elliott

    2000-03-20T23:59:59.000Z

    The Department of Energy Office of Building Technology, State and Community Programs (BTS) is interested in assessing the potential economic impacts of its portfolio of programs on national employment and income. A special purpose version of the IMPLAN input-output model allied In Build is used in this study of all 38 BTS programs included in the FY2001 federal budget. Energy savings, investments, and impacts on U.S. national employment and wage income are reported by program for selected years to the year 2030. Energy savings from these programs have the potential of creating a total of nearly 332,000 jobs and about $5.3 billion in wage income (1995$) by the year 2030. Because the required investments to achieve these savings are capital intensive, the net effect after investment is 304,000 jobs and $5.0 billion.

  14. Automatic Model Classification of Measured Internet Traffic Yi Zeng and Thomas M. Chen

    E-Print Network [OSTI]

    Chen, Thomas M.

    issues for future work. II. MODEL-LIBRARY TRAFFIC CLASSIFICATION Many traffic models have been developed Model 2 module ... Model library Fig. 1. General model classification system In the general case with NAutomatic Model Classification of Measured Internet Traffic Yi Zeng and Thomas M. Chen Department

  15. The Process of Fixing the British National Minimum Wage, 1997-2007

    E-Print Network [OSTI]

    Brown, William

    The second challenge was to produce recommendations that the government would accept. Here a great deal depended on the Commissions research and consultation activity. Both Commission staff and Treasury officials had access to the standard survey data... inflation. 14 Figure 1 - Growth in Adult NMW Compared with Average Wages and Price Inflation, 1999-2007 Source: LPC estimates based on ONS data, AEI including bonuses (ONS code LNMQ), RPIX (ONS code...

  16. FACULTY WAGE/STUDENT PERSONNEL HIRE FORM Preparer Name

    E-Print Network [OSTI]

    Acton, Scott

    Hours Rotation Plan Earnings Policy Element Entries Entry Values Pay Value Salary Administration Change _______________________ Date Prepared _______________________ Date Entered Oracle Data Element Future Value People Form Periods (LOV) *only if pay basis is goal Number of Work Months (LOV) EIT Oracle Time Management Autogen

  17. Davis-Bacon Labor Rates for Weatherization Work in Multifamily Buildings

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE) Weatherization Assistance Program Notice 10-04 deals with labor rates (wages) for weatherization work in large multifamily buildings that comply with the Davis-Bacon Act requirements of the 2009 Recovery Act.

  18. DUTY STATEMENT CLASSIFICATION

    E-Print Network [OSTI]

    studies, environmental impact reports, and Commission reports. (E) #12;CLASSIFICATION: Planner I - EFS of Environmental Impact Reports submitted to the Commission and prepares assessments of those sections. (M) 5 TITLE: Biologist DIVISION: Siting, Transmission & Environmental Protection DATE PREPARED: October 3

  19. Classification | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13, 2014 Building AmericaEnergyandClassification Classification

  20. Commercial Vehicle Classification using Vehicle Signature Data

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

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

  1. Infinite dimensional discrimination and classification

    E-Print Network [OSTI]

    Shin, Hyejin

    2007-09-17T23:59:59.000Z

    classification methodologies for such data have been suggested and supporting theory is quite limited. The focus of this dissertation is on discrimination and classification in this infinite dimensional setting. The methodology and theory we develop are based...

  2. Classification of Information Manual

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

    1985-05-08T23:59:59.000Z

    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.

  3. Genetic classification of petroleum systems

    SciTech Connect (OSTI)

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

    1991-03-01T23:59:59.000Z

    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.

  4. Genetic classification of petroleum systems

    SciTech Connect (OSTI)

    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

    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.

  5. Labor Market Institutions and the Industry Wage Distribution: Evidence from Austria, Norway, and the U.S.

    E-Print Network [OSTI]

    Barth, Erling; Zweimuller, Josef

    1992-01-01T23:59:59.000Z

    2 Occl Occ2 Occ3 Occ4 Occ6 NORWAY coeff. std.dev. US UNIONof log Wages Austria Norway U.S. union U.S. non-unionin the U.S. is high and low in Norway. Within the U.S. ,pay

  6. Classification of Information

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

    1978-12-12T23:59:59.000Z

    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

  7. Seismic event classification system

    DOE Patents [OSTI]

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

    1994-01-01T23:59:59.000Z

    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.

  8. Seismic event classification system

    DOE Patents [OSTI]

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

    1994-12-13T23:59:59.000Z

    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.

  9. The economic impacts of noxious facilities on wages and property values: An exploratory analysis

    SciTech Connect (OSTI)

    Nieves, L.A.; Hemphill, R.C.; Clark, D.E.

    1991-05-01T23:59:59.000Z

    Recent assessments of socioeconomic impacts resulting from the location of potentially hazardous facilities have concentrated on the issue of negative public perceptions and their resulting economic consequences. This report presents an analysis designed to answer the question: Can economic impacts resulting from negative perceptions of noxious facilities'' be identified and measured To identify the impacts of negative perceptions, data on noxious facilities sited throughout the United States were compiled, and secondary economic and demographic data sufficient to analyze the economic impacts on the surrounding study areas were assembled. This study uses wage rate and property value differentials to measure impacts on social welfare so that the extent to which noxious facilities and their associated activities have affected surrounding areas can be determined.

  10. The economic impacts of noxious facilities on wages and property values: An exploratory analysis

    SciTech Connect (OSTI)

    Nieves, L.A.; Hemphill, R.C.; Clark, D.E.

    1991-05-01T23:59:59.000Z

    Recent assessments of socioeconomic impacts resulting from the location of potentially hazardous facilities have concentrated on the issue of negative public perceptions and their resulting economic consequences. This report presents an analysis designed to answer the question: Can economic impacts resulting from negative perceptions of ``noxious facilities`` be identified and measured? To identify the impacts of negative perceptions, data on noxious facilities sited throughout the United States were compiled, and secondary economic and demographic data sufficient to analyze the economic impacts on the surrounding study areas were assembled. This study uses wage rate and property value differentials to measure impacts on social welfare so that the extent to which noxious facilities and their associated activities have affected surrounding areas can be determined.

  11. MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION

    E-Print Network [OSTI]

    Endres. William J.

    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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. Second Proof Work, Power, and Energy

    E-Print Network [OSTI]

    Kostic, Milivoje M.

    ) energy sources, such as solar energy, wind, water flows, ocean and tidal waves, and biomassSecond Proof Work, Power, and Energy M. KOSTIC Northern Illinois University DeKalb, Illinois, United States 1. Basic Concepts 2. Forms, Classifications, and Conservation of Energy 3. Work

  2. Waste classification sampling plan

    SciTech Connect (OSTI)

    Landsman, S.D.

    1998-05-27T23:59:59.000Z

    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.

  3. Incremental Accelerated Gradient Methods for SVM Classification ...

    E-Print Network [OSTI]

    2013-05-02T23:59:59.000Z

    SVM Classification: Study of the Constrained ... Vector Machines (SVM) for online classification tasks. ...... A Library for Support Vector Machines [8]. 11.

  4. Benefits Summary - Temporary Job Classification | Argonne National...

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

    Temporary Job Classification Download a summary of benefits offered to employees in the temporary job classification (at least 6 months term and 20 hoursweek). 2015 Long Term...

  5. WORKING TEMP: HOW TEMPORARY EMPLOYEES FIND MEANING THROUGH LIFE COURSE NARRATIVES

    E-Print Network [OSTI]

    Zirkle, Brian L.

    2011-04-25T23:59:59.000Z

    and West Germany developed into economic powers, many US companies proved incapable of effectively responding to the increased competition and changes in the market. Strong unions, relatively high wages, quality benefit 8 packages, and large numbers... internal and external are blurring, as work associations span beyond and between organizational boundaries (Jensen, 2004, p. 72). However, even among constructionists there are varying interpretations of the quality of these new identities. Some argue...

  6. Burning Down the Shelf: Standardized Classification, Folksonomies, and Ontological Politics

    E-Print Network [OSTI]

    Lau, Andrew J.

    2008-01-01T23:59:59.000Z

    of Dewey Decimal Classification (DDC), Library of Congressstudies in critical classification. Library Resources and

  7. Gender classification by combining clothing, hair and facial component classifiers

    E-Print Network [OSTI]

    Lu, Bao-Liang

    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

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

    E-Print Network [OSTI]

    Swan II, J. Edward

    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

  9. Classification of two dimensional fixed sun angle solar sail trajectories

    E-Print Network [OSTI]

    Roberts, Mark

    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

  10. The Effect of OCR Errors on Stylistic Text Classification Sterling Stuart Stein

    E-Print Network [OSTI]

    The Effect of OCR Errors on Stylistic Text Classification Sterling Stuart Stein Linguistic retrieval; Taghva and Coombs [1] found that a search engine could be made to work well over OCR documents

  11. On the algebraic classification of spacetimes

    E-Print Network [OSTI]

    V. Pravda

    2005-12-15T23:59:59.000Z

    We briefly overview the Petrov classification in four dimensions and its generalization to higher dimensions.

  12. A thermodynamic classification of pairs of real numbers via the Triangle Multi-dimensional continued fraction

    E-Print Network [OSTI]

    Thomas Garrity

    2012-05-25T23:59:59.000Z

    A new classification scheme for pairs of real numbers is given, generalizing earlier work of the author that used continued fraction, which in turn was motivated by ideas from statistical mechanics in general and work of Knauf and Fiala and Kleban in particular. Critical for this classification are the number theoretic and geometric properties of the triangle map, a type of multi-dimensional continued fraction.

  13. MultiCriteria Clustering & Classification

    E-Print Network [OSTI]

    Libre de Bruxelles, Universit

    An Extension of the K-Means' algorithm MultiCriteria Ordered Clustering 6 MCDA Classification : Sorting MCDACriteria Comparison : motivation A MCDA approach for grouping problems 5 MCDA Clustering Multicriteria Clustering

  14. Lecture Ch. 8 Cloud Classification

    E-Print Network [OSTI]

    Russell, Lynn

    clouds Middle clouds Grayish, block the sun, sometimes patchy Sharp outlines, rising, bright white1 Lecture Ch. 8 Cloud Classification Descriptive approach to clouds Drop Growth and Precipitation Processes Microphysical characterization of clouds Complex (i.e. Real) Clouds Examples

  15. MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION

    E-Print Network [OSTI]

    Endres. William J.

    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

  16. 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

  17. 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

  18. 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

  19. 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

  20. Hierarchical classification of modulation signals

    E-Print Network [OSTI]

    Kim, Nam Jin

    2002-01-01T23:59:59.000Z

    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...

  1. Working Paper

    E-Print Network [OSTI]

    2010-07-16T23:59:59.000Z

    Jul 2, 2010 ... Working Paper. Branch and Bound Algorithms for ...... interest when evaluating the performance. First, each derived subproblem means usage...

  2. Topological classification of crystalline insulators with space group symmetry

    SciTech Connect (OSTI)

    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

    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.

  3. Deterministic Model for Acute Myelogenous Leukemia Classification

    E-Print Network [OSTI]

    Chronopoulos, Anthony T.

    Deterministic Model for Acute Myelogenous Leukemia Classification Monica Madhukar that the proposed system robustly segments and classifies Acute Myelogenous Leukemia based on complete microscopic/backup service to the physician Keywords- Classification; Segmentation; Acute Myelogenous leukemia; Feature

  4. Reflectance Function Approximation for Material Classification

    E-Print Network [OSTI]

    Dyer, Charles R.

    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

  5. Maturing Software Engineering Knowledge through Classifications

    E-Print Network [OSTI]

    Basili, Victor R.

    Maturing Software Engineering Knowledge through Classifications: A Case Study on Unit Testing contribution to advancing knowledge in both science and engineering. It is a way of investigating Engineering knowledge, as classifications constitute an organized structure of knowledge items. Till date

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

    E-Print Network [OSTI]

    Qureshi, Hammad

    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

  7. Optimization Online - Classification with Guaranteed Probability of ...

    E-Print Network [OSTI]

    Marco C. Campi

    2009-03-18T23:59:59.000Z

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

  8. Multicriteria Inventory Classification Using A Genetic Algorithm

    E-Print Network [OSTI]

    Güvenir, H. Altay

    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

  9. Hierarchical Classification of Documents with Error Control

    E-Print Network [OSTI]

    Fu, Ada Waichee

    Hierarchical Classification of Documents with Error Control Chunhung 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

  10. Remote Sensing Ayman F. Habib Image Classification

    E-Print Network [OSTI]

    Habib, Ayman

    1 Remote Sensing Ayman F. Habib 1 Chapter 6 Image Classification Remote Sensing Ayman F. Habib 2. Unsupervised classification. Accuracy assessment. #12;2 Remote Sensing Ayman F. Habib 3 Image Classification of image pixels is based on their digital numbers/grey values in one or more spectral bands. Remote Sensing

  11. THE UNIVERSITY OF CLASSIFICATION DESCRIPTION

    E-Print Network [OSTI]

    Portman, Douglas

    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

  12. MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION

    E-Print Network [OSTI]

    MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION Job Title: STAFF ASSISTANT (N6) Department: J. ROBERT VAN PELT LIBRARY Hourly Rate: MINIMUM $12.65 MAXIMUM $16.20 Supervisor: STRATEGIC INITIATIVES LIBRARIAN SUMMARY: This position participates in a variety of digital library and service

  13. MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION

    E-Print Network [OSTI]

    Endres. William J.

    MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION JOB TITLE: BUILDING MECHANIC II (pay: Accountable for supervision and maintenance of all operating units in the SDC, MacInnes Ice Arena, Child Care, maintenance, sanitation, customer services and enforcement of SDC, MacInnes Ice Arena, Child Care Center

  14. Working Copy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengtheningWildfires may contribute more to &83 3.3At DOE Working At

  15. Working Copy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengtheningWildfires may contribute more to &83 3.3At DOE Working

  16. Work Plan

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abigpresented in theWork & Life

  17. WORKING PAPER N 2012 -12

    E-Print Network [OSTI]

    Boyer, Edmond

    : an Evaluation of the 2003 French Reform MATTHIEU BUNEL, YANNICK L'HORTY www.tepp.eu TEPP - Institute for Labor Security Contributions on Employment: an Evaluation of the 2003 French Reform MATTHIEU BUNEL* and YANNICK L decided to reform the system managing the different minimum wage regulations and the targeted reductions

  18. Fermilab at Work | Work Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist.New Mexico Feb. 13, 2013 NAME:Job Opportunities JoinWork Resources

  19. MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION

    E-Print Network [OSTI]

    Endres. William J.

    , carpentry, painting, and plumbing duties; perform work on heating, ventilation, air conditioning, automatic work on heating, ventilation, automatic temperature control and various equipment and machinery

  20. Automated unsupervised classification of the Sloan Digital Sky Survey stellar spectra using k-means clustering

    E-Print Network [OSTI]

    Almeida, J Sanchez

    2012-01-01T23:59:59.000Z

    (Abridged) This paper explores the use of k-means clustering as a tool for automated unsupervised classification of massive stellar spectral catalogs. The classification criteria are defined by the data and the algorithm, with no prior physical framework. We work with a representative set of stellar spectra associated with the SDSS SEGUE and SEGUE-2 programs. We classify the original spectra as well as the spectra with the continuum removed. The second set only contains spectral lines, and it is less dependent on uncertainties of the flux calibration. The classification of the spectra with continuum renders 16 major classes. Roughly speaking, stars are split according to their colors, with enough finesse to distinguish dwarfs from giants of the same effective temperature, but with difficulties to separate stars with different metallicities. Overall, there is no one-to-one correspondence between the classes we derive and the MK types. The classification of spectra without continuum renders 13 classes, the colo...

  1. Discriminant forest classification method and system

    DOE Patents [OSTI]

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

    2012-11-06T23:59:59.000Z

    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.

  2. University Policy No.: AD2530 Classification: Administration

    E-Print Network [OSTI]

    Victoria, University of

    University Policy No.: AD2530 Classification: Administration PHOTOCOPY AND FACSIMILE (FAX may be obtained through library managed machines or through the use of personal accounts. 1

  3. 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

  4. Experimental Evidence of Tax Framing Effects on the Work/Leisure Decision

    E-Print Network [OSTI]

    Gamage, David; Hayashi, Andrew; Nakamura, Brent K

    2010-01-01T23:59:59.000Z

    Screen Page 30 of 32 Bonus Condition Screen Leisure Taskframed as a low wage plus a bonus than when the returns areframed as a low wage plus a bonus than when the returns are

  5. Hierarchical Classification of Documents with Error Control

    E-Print Network [OSTI]

    King, Kuo Chin Irwin

    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

  6. Oil Classification with Fluorescence Spectroscopy Engineering Physics

    E-Print Network [OSTI]

    Oldenburg, Carl von Ossietzky Universitt

    detected by these channels. The investigation used three methods to examine crude oil, heavy oil, sludge1 Oil Classification with Fluorescence Spectroscopy Engineering Physics Master of Engineering and classification of oil spills on water surfaces. It is an overview of the laser remote sensor technique

  7. Classification of Unexploded Ordnance Laurens Sander Beran

    E-Print Network [OSTI]

    Oldenburg, Douglas W.

    Classification of Unexploded Ordnance by Laurens Sander Beran B.Sc., The University of Victoria degree at the University of British Columbia, I agree that the Library shall make it freely available and clutter. In the statistical classification framework, model parameters are basis vectors within a multi

  8. Approaching Real-time Network Traffic Classification

    E-Print Network [OSTI]

    Haddadi, Hamed

    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

  9. Spectral classification of stars based on LAMOST spectra

    E-Print Network [OSTI]

    Liu, Chao; Zhang, Bo; Wan, Jun-Chen; Deng, Li-Cai; Hou, Yonghui; Wang, Yuefei; Yang, Ming; Zhang, Yong

    2015-01-01T23:59:59.000Z

    In this work, we select the high signal-to-noise ratio spectra of stars from the LAMOST data andmap theirMK classes to the spectral features. The equivalentwidths of the prominent spectral lines, playing the similar role as the multi-color photometry, form a clean stellar locus well ordered by MK classes. The advantage of the stellar locus in line indices is that it gives a natural and continuous classification of stars consistent with either the broadly used MK classes or the stellar astrophysical parameters. We also employ a SVM-based classification algorithm to assignMK classes to the LAMOST stellar spectra. We find that the completenesses of the classification are up to 90% for A and G type stars, while it is down to about 50% for OB and K type stars. About 40% of the OB and K type stars are mis-classified as A and G type stars, respectively. This is likely owe to the difference of the spectral features between the late B type and early A type stars or between the late G and early K type stars are very we...

  10. Slide 1

    Office of Environmental Management (EM)

    K: Fair Labor Standards Act (FLSA) - Exempt vs. Non; Min Wage; OT. Service: Service Contract Act (SCA) - Classification; Wage Determinations. Construction: Davis-Bacon...

  11. RECOD at ImageCLEF 2011: Medical Modality Classification using Genetic Programming

    E-Print Network [OSTI]

    Fernandez, Thomas

    of storage and processing power makes possible the use of intelligent computer systems for image manipulation of the power of different but potentially complementary descriptors. In this work we propose the use of Genetic classification using genetic programming. In Section 4 we present ex- perimental setup and results for the Image

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

    E-Print Network [OSTI]

    Doan, AnHai

    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

  13. Coarse-grained Classification of Web Sites by Their Structural Properties

    E-Print Network [OSTI]

    Lindemann, Christoph

    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

  14. Davis-Bacon Act Wage Rates for ARRA-Funded State Energy Program Projects

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No53197 This work wasofFederalDepartment's6,ENERGY

  15. Designing programs that check their work \\Lambda Manuel Blum

    E-Print Network [OSTI]

    Plotkin, Joshua B.

    Designing programs that check their work \\Lambda Manuel Blum Comp. Sci. Division U. of California Classification D.2.4 F.2.0 F.3.1 G.3 Abstract A program correctness checker is an algorithm for checking the output of a computation. That is, given a program and an instance on which the program is run

  16. Tags vs Shelves: From Social Tagging to Social Classification

    E-Print Network [OSTI]

    Hammerton, James

    mechanism and (iii) existing classification systems such as the Library of Congress Classification System libraries and librarians have performed the task of classification for centuries, the process of man- uallyTags vs Shelves: From Social Tagging to Social Classification Arkaitz Zubiaga NLP & IR Group

  17. MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION

    E-Print Network [OSTI]

    and provide a variety of building occupant needs. Responsible for first line building energy management with and operate the building system HVAC energy management system. Perform janitorial work as required. Demonstrated ability to independently organize and prioritize work assignments. Demonstrated ability to read

  18. University Policy No.: AD2215 Classification: Administration

    E-Print Network [OSTI]

    Victoria, University of

    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

  19. University Policy No.: AD2210 Classification: Administration

    E-Print Network [OSTI]

    Victoria, University of

    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

  20. IDENTIFYING ROOF FALL PREDICTORS USING FUZZY CLASSIFICATION

    SciTech Connect (OSTI)

    Bertoncini, C. A.; Hinders, M. K. [NDE Lab, College of William and Mary, Williamsburg, VA, 23187-8795 (United States)

    2010-02-22T23:59:59.000Z

    Microseismic monitoring involves placing geophones on the rock surfaces of a mine to record seismic activity. Classification of microseismic mine data can be used to predict seismic events in a mine to mitigate mining hazards, such as roof falls, where properly bolting and bracing the roof is often an insufficient method of preventing weak roofs from destabilizing. In this study, six months of recorded acoustic waveforms from microseismic monitoring in a Pennsylvania limestone mine were analyzed using classification techniques to predict roof falls. Fuzzy classification using features selected for computational ease was applied on the mine data. Both large roof fall events could be predicted using a Roof Fall Index (RFI) metric calculated from the results of the fuzzy classification. RFI was successfully used to resolve the two significant roof fall events and predicted both events by at least 15 hours before visual signs of the roof falls were evident.

  1. Audio classification from time-frequency texture

    E-Print Network [OSTI]

    Slotine, Jean-Jacques E.

    Time-frequency representations of audio signals often resemble texture images. This paper derives a simple audio classification algorithm based on treating sound spectrograms as texture images. The algorithm is inspired ...

  2. Inclination-Independent Galaxy Classification

    E-Print Network [OSTI]

    Jeremy Bailin; William E. Harris

    2008-03-09T23:59:59.000Z

    We present a new method to classify galaxies from large surveys like the Sloan Digital Sky Survey using inclination-corrected concentration, inclination-corrected location on the color-magnitude diagram, and apparent axis ratio. Explicitly accounting for inclination tightens the distribution of each of these parameters and enables simple boundaries to be drawn that delineate three different galaxy populations: Early-type galaxies, which are red, highly concentrated, and round; Late-type galaxies, which are blue, have low concentrations, and are disk dominated; and Intermediate-type galaxies, which are red, have intermediate concentrations, and have disks. We have validated our method by comparing to visual classifications of high-quality imaging data from the Millennium Galaxy Catalogue. The inclination correction is crucial to unveiling the previously unrecognized Intermediate class. Intermediate-type galaxies, roughly corresponding to lenticulars and early spirals, lie on the red sequence. The red sequence is therefore composed of two distinct morphological types, suggesting that there are two distinct mechanisms for transiting to the red sequence. We propose that Intermediate-type galaxies are those that have lost their cold gas via strangulation, while Early-type galaxies are those that have experienced a major merger that either consumed their cold gas, or whose merger progenitors were already devoid of cold gas (the ``dry merger'' scenario).

  3. Materials and methods Evolutionary classification of C. elegans proteins. For classification of C. ele-

    E-Print Network [OSTI]

    Yu, Haiyuan

    Materials and methods Evolutionary classification of C. elegans proteins. For classification of C the ORFeome library (1) and transformed into E. coli strain DH5 in 96 well format. Up to 12 single colonies- propriate concentration. AD-ORFeome 1.0 and AD-wrmcDNA libraries. The two Gal4 activation do- main (AD

  4. A complete electrical hazard classification system and its application

    SciTech Connect (OSTI)

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

    2009-01-01T23:59:59.000Z

    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.

  5. A Dynamical Classification of the Cosmic Web

    E-Print Network [OSTI]

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

    2008-09-24T23:59:59.000Z

    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.

  6. Going to Work: Understanding Work Schedules

    E-Print Network [OSTI]

    Hoffman, Rosemarie

    2000-07-20T23:59:59.000Z

    have to work: John, Joyce, Jessie and Mary are full- time employees, and Jan is part-time. Each employee is required to report to This is an example of a work schedule that tells you when and what you have to do: It is best to arrive at least 5 to 15... John, Jessie Joyce Mary Wednesday Joyce, Mary John Jan Thursday Jessie, Joyce Jan Mary Friday Jan, Jessie Joyce John Saturday Mary, Joyce John Jessie Please answer the following questions about the work schedule: 1. What week is this work schedule...

  7. The Classification of M1-78

    E-Print Network [OSTI]

    G. T. Gussie

    1994-09-15T23:59:59.000Z

    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.

  8. Nonlinear classification of Banach spaces

    E-Print Network [OSTI]

    Randrianarivony, Nirina Lovasoa

    2005-11-01T23:59:59.000Z

    immediately from here. 24 3. For a subspace Y of X,wehavefZ\\Y;Z 2 cof(X)g cof(Y ). Hence: Y (t)= inf y2S Y sup W2cof(Y ) inf w2W kwk t ky + wk?1 inf y2S Y sup Z2cof(X) inf z2Z\\Y kzk t ky + zk?1 inf y2S Y sup Z2cof(X) inf z2Z kzk t ky + zk?1 inf x2S X sup... characterization of all quasi-Banach spaces that coarsely embed into a Hilbert space. The techniques used here rely on the classical work of Schoenberg [S] regarding the theory of positive and negative de nite kernels; and on the work of Aharoni, Maurey...

  9. THE PHOTOMETRIC CLASSIFICATION SERVER FOR Pan-STARRS1

    SciTech Connect (OSTI)

    Saglia, R. P.; Bender, R.; Seitz, S.; Senger, R.; Snigula, J.; Phleps, S.; Wilman, D. [Max Planck Institute for Extraterrestrial Physics, Giessenbachstrasse, Postfach 1312, 85741 Garching (Germany); Tonry, J. L.; Burgett, W. S.; Chambers, K. C.; Heasley, J. N.; Kaiser, N.; Magnier, E. A.; Morgan, J. S. [Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822 (United States); Greisel, N. [University Observatory Munich, Ludwig-Maximilians Universitaet, Scheinerstrasse 1, 81679 Munich (Germany); Bailer-Jones, C. A. L.; Klement, R. J.; Rix, H.-W.; Smith, K. [Max Planck Institute for Astronomy, Koenigstuhl 17, D-69117 Heidelberg (Germany); Green, P. J. [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); and others

    2012-02-20T23:59:59.000Z

    The Pan-STARRS1 survey is obtaining multi-epoch imaging in five bands (g{sub P1} r{sub P1} i{sub P1} z{sub P1} y{sub P1}) over the entire sky north of declination -30 deg. We describe here the implementation of the Photometric Classification Server (PCS) for Pan-STARRS1. PCS will allow the automatic classification of objects into star/galaxy/quasar classes based on colors and the measurement of photometric redshifts for extragalactic objects, and will constrain stellar parameters for stellar objects, working at the catalog level. We present tests of the system based on high signal-to-noise photometry derived from the Medium-Deep Fields of Pan-STARRS1, using available spectroscopic surveys as training and/or verification sets. We show that the Pan-STARRS1 photometry delivers classifications and photometric redshifts as good as the Sloan Digital Sky Survey (SDSS) photometry to the same magnitude limits. In particular, our preliminary results, based on this relatively limited data set down to the SDSS spectroscopic limits, and therefore potentially improvable, show that stars are correctly classified as such in 85% of cases, galaxies in 97%, and QSOs in 84%. False positives are less than 1% for galaxies, Almost-Equal-To 19% for stars, and Almost-Equal-To 28% for QSOs. Moreover, photometric redshifts for 1000 luminous red galaxies up to redshift 0.5 are determined to 2.4% precision (defined as 1.48 Multiplication-Sign Median|z{sub phot} - z{sub spec}|/(1 + z)) with just 0.4% catastrophic outliers and small (-0.5%) residual bias. For bluer galaxies up to the same redshift, the residual bias (on average -0.5%) trend, percentage of catastrophic failures (1.2%), and precision (4.2%) are higher, but still interestingly small for many science applications. Good photometric redshifts (to 5%) can be obtained for at most 60% of the QSOs of the sample. PCS will create a value-added catalog with classifications and photometric redshifts for eventually many millions of sources.

  10. QEP WORKING GROUP CHARGES Assessment Working Group

    E-Print Network [OSTI]

    Liu, Paul

    and a framework that details timelines, leadership, resource allocation, and an assessment plan that is clearlyQEP WORKING GROUP CHARGES Assessment Working Group The topic of the QEP should fit should be supported by a thorough understanding of the institutional context and by assessment data

  11. Review: [Untitled] Reviewed Work(s)

    E-Print Network [OSTI]

    Elman, Benjamin

    Review: [Untitled] Reviewed Work(s): Dodonæus in Japan: Translation and the Scientific Mind to leading academic journals and scholarly literature from around the world. The Archive is supported-for-profit organization with a mission to help the scholarly community take advantage of advances in technology. For more

  12. New Decision Support Tool for Acute Lymphoblastic Leukemia Classification

    E-Print Network [OSTI]

    Chronopoulos, Anthony T.

    New Decision Support Tool for Acute Lymphoblastic Leukemia Classification Monica Madhukar affected by Acute Lymphoblastic Leukemia. The results show that the proposed system robustly segments and classifies acute lymphoblastic leukemia based on complete microscopic blood images. Keywords: Classification

  13. Seismic Facies Classification And Identification By Competitive Neural Networks

    E-Print Network [OSTI]

    Saggaf, Muhammad M.

    2000-01-01T23:59:59.000Z

    We present an approach based on competitive networks for the classification and identification of reservoir facies from seismic data. This approach can be adapted to perform either classification of the seismic facies based ...

  14. Automatic Fish Classification for Underwater Species Behavior Understanding

    E-Print Network [OSTI]

    Fisher, Bob

    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

  15. Classification and Feature Extraction in Man and Machine

    E-Print Network [OSTI]

    to the SH. A piecewise linear extension as in the K-means classifier seems however less adapted to model classification. Furthermore, the comparison of the classification algorithms indicates that the Support Vector

  16. Ris-R-1556(EN) ACCUWIND -Classification of

    E-Print Network [OSTI]

    Ris-R-1556(EN) ACCUWIND - Classification of Five Cup Anemometers According to IEC61400-12-1 T generators to make classifications according to annex I and J of the standard IEC 61400-12-1 on power

  17. 163 SDSU Curriculum Guide 2010 COURSE CLASSIFICATION SYSTEM --EXAMPLES

    E-Print Network [OSTI]

    Ponce, V. Miguel

    163 SDSU Curriculum Guide 2010 COURSE CLASSIFICATION SYSTEM -- EXAMPLES Course Classification of business and other machines; accounting, geography, foreign languages, home economics, psychology, library, cartography, audiovisual, mathematics, library science, police science. C-16 Science laboratories Laboratories

  18. automatic vehicle classification: Topics by E-print Network

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

    Keywords: Document Classification, Document Structure, Technical Document, Support Vector Machine, Vector in the electronic format, needs an automatic...

  19. A framework for a coarse aggregate classification system

    E-Print Network [OSTI]

    Peapully, Srikrishna

    1994-01-01T23:59:59.000Z

    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...

  20. Guaranteed annual wages

    E-Print Network [OSTI]

    Weber, Donald Albert

    1957-01-01T23:59:59.000Z

    in the world, wms in a serious soon omio slump in 1937? At, that time, U? S? Steel had 260, %R employees on 17 7'guaranteed Annual Wag~ill It Workt?" ~Sio ~S +~s i , Narch 2, 1955, Vol. 66, No. 5, p, 7, 5? 6. 70 its payrolls If the company would have...

  1. School quality and wages

    E-Print Network [OSTI]

    Speakman, Robert B., Jr.

    2007-04-25T23:59:59.000Z

    to a College Degree Over a High School Degree...........................................................................................133 1 CHAPTER I#0;#3;#0;#3; #0;#3;#0;#3; INTRODUCTION Introduction During the 2000-2001 school year, $738 billion... that we believe that spending matters and the presumption must be that extra spending buys something of value, i.e., higher quality schools.3 #0;#3;#0;#3;#0;#3;#0;#3;#0;#3;#0;#3;#0;#3;#0;#3; This dissertation follows the style and format of the Journal...

  2. BAYESIAN INFERENCE AND OPTIMIZATION STRATEGIES FOR SOME DETECTION AND CLASSIFICATION

    E-Print Network [OSTI]

    Mignotte, Max

    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

  3. Competitive Mixture of Deformable Models for Pattern Classification \\Lambda

    E-Print Network [OSTI]

    Yeung, Dit-Yan

    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

  4. Distance Metric Learning for Large Margin Nearest Neighbor Classification

    E-Print Network [OSTI]

    Weinberger, Kilian

    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

  5. TEXTURE CLASSIFICATION USING DISCRIMINANT WAVELET PACKET SUBBANDS Nasir Rajpoot

    E-Print Network [OSTI]

    Rajpoot, Nasir

    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

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

    SciTech Connect (OSTI)

    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

    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.

  7. University Policy No.: GV0225 Classification: Governance

    E-Print Network [OSTI]

    Victoria, University of

    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

  8. University Policy No.: GV0215 Classification: Governance

    E-Print Network [OSTI]

    Victoria, University of

    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

  9. University Policy No.: RH8100 Classification: Research

    E-Print Network [OSTI]

    Victoria, University of

    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

  10. University Policy No.: AD2300 Classification: Administration

    E-Print Network [OSTI]

    Victoria, University of

    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

  11. University Policy No.: GV0230 Classification: Governance

    E-Print Network [OSTI]

    Victoria, University of

    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

  12. University Policy No.: GV0200 Classification: Governance

    E-Print Network [OSTI]

    Victoria, University of

    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

  13. Large margin classification in infinite neural networks

    E-Print Network [OSTI]

    Saul, Lawrence K.

    Large margin classification in infinite neural networks Youngmin Cho and Lawrence K. Saul, CA 92093-0404 Abstract We introduce a new family of positive-definite kernels for large margin classi- fication in support vector machines (SVMs). These kernels mimic the computation in large neural networks

  14. Text Classification for Intelligent Portfolio Management

    E-Print Network [OSTI]

    , earnings summaries, and Beta value (risk) associated with the individual holdings in their stock portfolioText Classification for Intelligent Portfolio Management Young-Woo Seo Joseph Giampapa Katia Sycara management, software agents that eval- uate the risks associated with the individual companies of a portfolio

  15. Classification and Utilization of Abstractions for Optimization

    E-Print Network [OSTI]

    Yi, Qing

    Classification and Utilization of Abstractions for Optimization Dan Quinlan1 , Markus Schordan2.sabjornsen@fys.uio.no Abstract. We define a novel approach to optimize the use of libraries within applications. We propose that library-defined abstractions be clas- sified to support their automated optimization and by leveraging

  16. Workload State Classification With Automation During Simulated

    E-Print Network [OSTI]

    Kaber, David B.

    Workload State Classification With Automation During Simulated Air Traffic Control David B. Kaber and Carlene M. Perry Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State to dynamically apply automation to information pro- cessing functions in aviation systems. This research examined

  17. HIERARCHICAL BAYESIAN LEARNING FOR ELECTRICAL TRANSIENT CLASSIFICATION

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    . An application to electrical transient classifi- cation for non-intrusive load monitoring is introduced, supervised classification, curve fitting, smooth transition regression model, non intrusive appliance load of electrical transients are useful in the context of non intrusive load monitoring (NILM). Ma- chine learning

  18. HEGIS CLASSIFICATIONS (THIS DOCUMENT IS KEYWORD SEARCHABLE

    E-Print Network [OSTI]

    Segraves, Kari A.

    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

  19. Common occupational classification system - revision 3

    SciTech Connect (OSTI)

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

    1996-05-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    De la Torre, Fernando

    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

  1. A Deep Non-Linear Feature Mapping for Large-Margin kNN Classification Renqiang Min

    E-Print Network [OSTI]

    Bonner, Anthony

    stay closer while making dissimilar data points move farther apart us- ing additional similarity of Toronto zhaolei.zhang@utoronto.ca Abstract KNN is one of the most popular data mining methods for classification, but it often fails to work well with inap- propriate choice of distance metric or due

  2. Team work: Construction

    E-Print Network [OSTI]

    Berdichevsky, Victor

    Team work: Construction Management The Division of Engineering Technology in an construction technology area, an associate degree in construction science, or college- level course work equivalent to an associate degree in construction related area

  3. Work with Biological Materials

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

    Work with Biological Materials Print Planning A complete Experiment Safety Sheet (ESS) is required before work can be done at the ALS. This ESS is either a part of the proposal...

  4. Interagency Sustainability Working Group

    Broader source: Energy.gov [DOE]

    The Interagency Sustainability Working Group (ISWG) is the coordinating body for sustainable buildings in the federal government.

  5. AUTOMATIC UNSUPERVISED CLASSIFICATION OF ALL SLOAN DIGITAL SKY SURVEY DATA RELEASE 7 GALAXY SPECTRA

    SciTech Connect (OSTI)

    Almeida, J. Sanchez; Aguerri, J. A. L.; Munoz-Tunon, C.; De Vicente, A., E-mail: jos@iac.e, E-mail: jalfonso@iac.e, E-mail: cmt@iac.e, E-mail: angelv@iac.e [Instituto de Astrofisica de Canarias, E-38205 La Laguna, Tenerife (Spain)

    2010-05-01T23:59:59.000Z

    Using the k-means cluster analysis algorithm, we carry out an unsupervised classification of all galaxy spectra in the seventh and final Sloan Digital Sky Survey data release (SDSS/DR7). Except for the shift to rest-frame wavelengths and the normalization to the g-band flux, no manipulation is applied to the original spectra. The algorithm guarantees that galaxies with similar spectra belong to the same class. We find that 99% of the galaxies can be assigned to only 17 major classes, with 11 additional minor classes including the remaining 1%. The classification is not unique since many galaxies appear in between classes; however, our rendering of the algorithm overcomes this weakness with a tool to identify borderline galaxies. Each class is characterized by a template spectrum, which is the average of all the spectra of the galaxies in the class. These low-noise template spectra vary smoothly and continuously along a sequence labeled from 0 to 27, from the reddest class to the bluest class. Our Automatic Spectroscopic K-means-based (ASK) classification separates galaxies in colors, with classes characteristic of the red sequence, the blue cloud, as well as the green valley. When red sequence galaxies and green valley galaxies present emission lines, they are characteristic of active galactic nucleus activity. Blue galaxy classes have emission lines corresponding to star formation regions. We find the expected correlation between spectroscopic class and Hubble type, but this relationship exhibits a high intrinsic scatter. Several potential uses of the ASK classification are identified and sketched, including fast determination of physical properties by interpolation, classes as templates in redshift determinations, and target selection in follow-up works (we find classes of Seyfert galaxies, green valley galaxies, as well as a significant number of outliers). The ASK classification is publicly accessible through various Web sites.

  6. Classification: //Dell SecureWorks/Confidential -Limited External Distribution: Better TogetherMay 13, 2014

    E-Print Network [OSTI]

    Sura, Philip

    "Universities emerge as key hacking target" July 17, 2013 - America's universities, among the most open," said Rodney Petersen, who heads the cybersecurity program at Educause, a nonprofit alliance of schools

  7. Work Area Policy

    E-Print Network [OSTI]

    2005-04-19T23:59:59.000Z

    POLICY X.X.X. Volume V, Information Technology. Chapter 6, Acceptable Safety Work Locations. Issuing Office: Department of Mathematics. Responsible...

  8. INL @ work: Archaeologist

    SciTech Connect (OSTI)

    Lowrey, Dino

    2008-01-01T23:59:59.000Z

    INL @ work features jobs performed at the lab. For more information about INL careers, visit http://www.facebook.com/idahonationallaboratory.

  9. Job or Work Formulas

    E-Print Network [OSTI]

    Bailey, Charlotte M

    2014-09-16T23:59:59.000Z

    Job or Work Problems. (Needed equations or formulas). Worker's rate = 1 total time alone. Examples: Joe completes a job in 11 hours; his rate is job/hour.

  10. INL @ work: Archaeologist

    ScienceCinema (OSTI)

    Lowrey, Dino

    2013-05-28T23:59:59.000Z

    INL @ work features jobs performed at the lab. For more information about INL careers, visit http://www.facebook.com/idahonationallaboratory.

  11. Work Authorization System

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

    1999-04-20T23:59:59.000Z

    It establishes a work authorization and control process for work performed by designated management and operating (M&O), management and integrating (M&I), environmental restoration management contracts (ERMC) and other contracts determined by the Procurement Executive (hereafter referred to as M&O contractors). Cancels DOE O 5700.7C. Canceled by DOE O 412.1A.

  12. WORKPLACE GUIDES GLOBAL WORKING

    E-Print Network [OSTI]

    Roelleke, Thomas

    of Stonewall good practice publications profiles some of the employers paving the way for gay staff to work do arise. This guide provides clear, practical tips on how gay employees can access internationalWORKPLACE GUIDES GLOBAL WORKING Supporting lesbian, gay and bisexual staff on overseas assignments

  13. Work Authorization System

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

    2005-04-21T23:59:59.000Z

    To establish a work authorization and control process for work performed by designated site and facility management contractors, and other contractors as determined by the procurement executive, consistent with the budget execution and program evaluation requirements of the Department of Energy's (DOE's) Planning, Programming, Budgeting, and Evaluation process. Cancels DOE O 412.1.

  14. Work Authorization System

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

    2005-04-21T23:59:59.000Z

    To establish a work authorization and control process for work performed by designated site and facility management contractors, and other contractors as determined by the procurement executive, consistent with the budget execution and program evaluation requirements of the Department of Energy's Planning, Programming, Budgeting, and Evaluation process. Admin Chg 1, dated 5-21-2014, cancels DOE O 412.1A.

  15. 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...

  16. ClusterSculptor: Software for Expert-Steered Classification of...

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

    and intuitive framework to aid scientists in data classification. ClusterSculptor uses k-means as the overall clustering engine, but allows tuning its parameters interactively,...

  17. Alternating local search based VNS for linear classification

    E-Print Network [OSTI]

    2007-06-29T23:59:59.000Z

    We consider the linear classification method consisting of separating two sets of points in d-space ..... code called. CPLEX 9 by way of the CPLEXINT library [4].

  18. University Policy No.: AC1145 Classification: Academic and Students

    E-Print Network [OSTI]

    Victoria, University of

    University Policy No.: AC1145 Classification: Academic and Students Approving Authority, interdisciplinary programs, divisions, and the library) will undergo a review every five to seven years

  19. University Policy No.: IM7400 Classification: Information Management

    E-Print Network [OSTI]

    Victoria, University of

    University Policy No.: IM7400 Classification: Information Management POLICY ON THE DISTRIBUTIONPherson Library Petch Sedgewick Student Union Theatre University Centre Visual Arts 1.2 Off

  20. University Policy No.: AC1150 Classification: Academic and Students

    E-Print Network [OSTI]

    Victoria, University of

    University Policy No.: AC1150 Classification: Academic and Students TEACHING, portfolios, references, library resources, laboratories and equipment) related to the subject matter

  1. Artificial Neural Networks as a Tool for Galaxy Classification

    E-Print Network [OSTI]

    Ofer Lahav

    1996-12-10T23:59:59.000Z

    We describe an Artificial Neural Network (ANN) approach to classification of galaxy images and spectra. ANNs can replicate the classification of galaxy images by a human expert to the same degree of agreement as that between two human experts, to within 2 T-type units. Similar methods are applied to classification of galaxy spectra. In particular, Principal Component Analysis of galaxy spectra can be used to compress the data, to suppress noise and to provide input to the ANNs. These and other classification methods will soon be applied to the Anglo-Australian 2-degree-Field (2dF) redshift survey of 250,000 galaxies.

  2. 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...

  3. ON THE CLASSIFICATION OF NUCLEAR C-ALGEBRAS

    E-Print Network [OSTI]

    2002-05-28T23:59:59.000Z

    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;

  4. Turbulence, orbit equivalence, and the classification of nuclear C

    E-Print Network [OSTI]

    2012-04-24T23:59:59.000Z

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

  5. automatic text classification: Topics by E-print Network

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

    California at Santa Barbara, University of 19 Arabic Text Classification Using Maximum Entropy CiteSeer Summary: Abstract: In organizations, a large amount of...

  6. 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...

  7. Hazard Classification for Fuel Supply Shutdown Facility

    SciTech Connect (OSTI)

    BENECKE, M.W.

    2000-09-07T23:59:59.000Z

    Final hazard classification for the 300 Area N Reactor fuel storage facility resulted in the assignment of Nuclear Facility Hazard Category 3 for the uranium metal fuel and feed material storage buildings (303-A, 303-B, 303-G, 3712, and 3716). Radiological for the residual uranium and thorium oxide storage building and an empty former fuel storage building that may be used for limited radioactive material storage in the future (303-K/3707-G, and 303-E), and Industrial for the remainder of the Fuel Supply Shutdown buildings (303-F/311 Tank Farm, 303-M, 313-S, 333, 334 and Tank Farm, 334-A, and MO-052).

  8. Classification of multifluid CP world models

    E-Print Network [OSTI]

    Jens Thomas; Hartmut Schulz

    2000-12-20T23:59:59.000Z

    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.

  9. Classification of Fermi Gamma-RAY Bursts

    E-Print Network [OSTI]

    Horvath, I; Hakkila, J; Bagoly, Z; Preece, R D

    2015-01-01T23:59:59.000Z

    The Fermi GBM Catalog has been recently published. Previous classification analyses of the BATSE, RHESSI, BeppoSAX, and Swift databases found three types of gamma-ray bursts. Now we analyzed the GBM catalog to classify the GRBs. PCA and Multiclustering analysis revealed three groups. Validation of these groups, in terms of the observed variables, shows that one of the groups coincides with the short GRBs. The other two groups split the long class into a bright and dim part, as defined by the peak flux. Additional analysis is needed to determine whether this splitting is only a mathematical byproduct of the analysis or has some real physical meaning.

  10. Office of Classification | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial602 1,39732onMake YourDepartment ofC T O B EOff-Grid or/2012Classification

  11. Clean Energy Works (Oregon)

    Broader source: Energy.gov [DOE]

    Clean Energy Works began in 2009 as a pilot program run by the City of Portland. In 2010, the US department of Energy awarded $20 million to create a statewide nonprofit to expand the program...

  12. How Fusion Energy Works

    Broader source: Energy.gov [DOE]

    Fusion energy is the energy source of the sun and all of the stars. As part of How Energy Works, we'll cover everything from fuel sources to plasma physics and beyond.

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

    E-Print Network [OSTI]

    Mignotte, Max

    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

  14. Using Unlabelled Data To Update Classification Rules With Applications In Food Authenticity Studies

    E-Print Network [OSTI]

    Washington at Seattle, University of

    library . . . . . . . . . . . 3 2 Average correct classification rates for the five meat groupsUsing Unlabelled Data To Update Classification Rules With Applications In Food Authenticity Studies programme. #12;Abstract A classification method is developed to classify samples when both labelled

  15. Classification of integrable super-systems using the SsTools environment ?

    E-Print Network [OSTI]

    Wolf, Thomas

    Program Library, Queen's University of Belfast, N. Ireland; see also [1] _______ ? Subject classification Classification of integrable super-systems using the SsTools environment. ____________________________________________________________________________ Abstract A classification problem is proposed for supersymmetric evolutionary PDE that s* *at- isfy

  16. Environment to Environment (E2E) Communication Systems for Collaborative Work

    E-Print Network [OSTI]

    Reif, Rafael

    Environment to Environment (E2E) Communication Systems for Collaborative Work Ish Rishabh irishabh with intelligent sensing of environments, to provide effective bi-directional communication which is free from, connecting environments, sentient communication. ACM Classification Keywords H5.1. Multimedia information

  17. Fermilab: Science at Work

    ScienceCinema (OSTI)

    Brendan Casey; Herman White; Craig Hogan; Denton Morris; Mary Convery; Bonnie Fleming; Deborah Harris; Dave Schmitz; Brenna Flaugher; Aron Soha

    2013-02-14T23:59:59.000Z

    Six days. Three frontiers. One amazing lab. From 2010 to 2012, a film crew followed a group of scientists at the Department of Energy's Fermilab and filmed them at work and at home. This 40-minute documentary shows the diversity of the people, research and work at Fermilab. Viewers catch a true behind-the-scenes look of the United States' premier particle physics laboratory while scientists explain why their research is important to them and the world.

  18. Explosives Classifications Tracking System User Manual

    SciTech Connect (OSTI)

    Genoni, R.P.

    1993-10-01T23:59:59.000Z

    The Explosives Classification Tracking System (ECTS) presents information and data for U.S. Department of Energy (DOE) explosives classifications of interest to EM-561, Transportation Management Division, other DOE facilities, and contractors. It is intended to be useful to the scientist, engineer, and transportation professional, who needs to classify or transport explosives. This release of the ECTS reflects upgrading of the software which provides the user with an environment that makes comprehensive retrieval of explosives related information quick and easy. Quarterly updates will be provided to the ECTS throughout its development in FY 1993 and thereafter. The ECTS is a stand alone, single user system that contains unclassified, publicly available information, and administrative information (contractor names, product descriptions, transmittal dates, EX-Numbers, etc.) information from many sources for non-decisional engineering and shipping activities. The data is the most up-to-date and accurate available to the knowledge of the system developer. The system is designed to permit easy revision and updating as new information and data become available. These, additions and corrections are welcomed by the developer. This user manual is intended to help the user install, understand, and operate the system so that the desired information may be readily obtained, reviewed, and reported.

  19. Multivariate classification of infrared spectra of cell and tissue samples

    DOE Patents [OSTI]

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

    1997-01-01T23:59:59.000Z

    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.

  20. Multistage Methods for Freight Train Classification Riko Jacob1

    E-Print Network [OSTI]

    Riko Jacob

    Multistage Methods for Freight Train Classification Riko Jacob1 , Peter M´arton2 , 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

  1. Compressive Video Classification for Decision Systems with Limited Resources

    E-Print Network [OSTI]

    Tsakalides, Panagiotis

    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'´Energie

  2. Program Transformation Mechanics A Classification of Mechanisms for Program Transformation

    E-Print Network [OSTI]

    Utrecht, Universiteit

    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

  3. Business Plans Classification with Locally Pruned Lazy Learning Models

    E-Print Network [OSTI]

    Verleysen, Michel

    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

  4. A Unified Framework for MR Based Disease Classification

    E-Print Network [OSTI]

    Pohl, Kilian M.

    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

  5. 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

  6. University Policy No.: FM5205 Classification: Financial Management

    E-Print Network [OSTI]

    Victoria, University of

    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

  7. ON FEATURE BASED AUTOMATIC CLASSIFICATION OF SINGLE AND MULTITONE SIGNALS

    E-Print Network [OSTI]

    Arabshahi, Payman

    ON FEATURE BASED AUTOMATIC CLASSIFICATION OF SINGLE AND MULTITONE SIGNALS Arindam K. Das, Payman of interest has not been previ- ously observed; it is not part of a library of known signals; and no automated demonstrating the feasibility of the above features for au- tomatic classification purposes of single

  8. Multi-Evidence, Multi-Criteria, Lazy Associative Document Classification

    E-Print Network [OSTI]

    Zaki, Mohammed Javeed

    Multi-Evidence, Multi-Criteria, Lazy Associative Document Classification Adriano Velosoa , Wagner to be applied at classification time. Our method is able to perform evidence enhancement by link forwarding approach using documents from the ACM Digital Library and from a Brazilian Web directory. Our approach

  9. DISCRIMINATION AND CLASSIFICATION OF UXO USING MAGNETOMETRY: INVERSION AND ERROR

    E-Print Network [OSTI]

    Sambridge, Malcolm

    DISCRIMINATION AND CLASSIFICATION OF UXO USING MAGNETOMETRY: INVERSION AND ERROR ANALYSIS USING for the different solutions didn't even overlap. Introduction A discrimination and classification strategy ambiguity and possible remanent magnetization the recovered dipole moment is compared to a library

  10. Insights from Machine Learning Applied to Human Visual Classification

    E-Print Network [OSTI]

    Insights from Machine Learning Applied to Human Visual Classification Arnulf B. A. Graf and Felix A to understand visual classification in humans using both psy- chophysical and machine learning techniques). On an algorithmic level, however, methods and understanding of brain processes are still limited. Here we report

  11. Statistical traffic classification by Boosting Support Vector Machines

    E-Print Network [OSTI]

    Statistical traffic classification by Boosting Support Vector Machines Gabriel Gmez Sena Facultad years, traffic classification based on the statistical properties of flows has become an important topic. In this paper we statistically analyze the data length of the first few segments exchanged by a transport flow

  12. Automatic Tissue Classification for the Human Head from Multispectral MRI

    E-Print Network [OSTI]

    Utah, University of

    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

  13. Novel Artificial Neural Networks For Remote-Sensing Data Classification

    E-Print Network [OSTI]

    Michel, Howard E.

    Novel Artificial Neural Networks For Remote-Sensing Data Classification Xiaoli Tao* and Howard E artificial neural network architectures applied to multi-class classification problems of remote-sensing data. These approaches are 1) a spiking-neural-network model for the partitioning of data into clusters, and 2) a neuron

  14. Support Vector Learning for Fuzzy Rule-Based Classification Systems

    E-Print Network [OSTI]

    Chen, Yixin

    . 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

  15. Network sampling and classification: An investigation of network model representations

    E-Print Network [OSTI]

    Needleman, Daniel

    only one or two connectivity patterns of an observed network--such as degree distribution, or diameterNetwork sampling and classification: An investigation of network model representations Edoardo M: Connectivity pattern Network type Network metrics Network sampling Network classification Methods

  16. Protein Sequence Classification Using Probabilistic Motifs and Neural Networks

    E-Print Network [OSTI]

    Blekas, Konstantinos

    Protein Sequence Classification Using Probabilistic Motifs and Neural Networks Konstantinos Blekas classification is the sequence encoding scheme that must be used in order to feed the network. To deal with this prob- lem we propose a method that maps a protein sequence into a numerical feature space using

  17. AUTOMATED UNSUPERVISED CLASSIFICATION OF THE SLOAN DIGITAL SKY SURVEY STELLAR SPECTRA USING k-MEANS CLUSTERING

    SciTech Connect (OSTI)

    Sanchez Almeida, J.; Allende Prieto, C., E-mail: jos@iac.es, E-mail: callende@iac.es [Instituto de Astrofisica de Canarias, E-38205 La Laguna, Tenerife (Spain)

    2013-01-20T23:59:59.000Z

    Large spectroscopic surveys require automated methods of analysis. This paper explores the use of k-means clustering as a tool for automated unsupervised classification of massive stellar spectral catalogs. The classification criteria are defined by the data and the algorithm, with no prior physical framework. We work with a representative set of stellar spectra associated with the Sloan Digital Sky Survey (SDSS) SEGUE and SEGUE-2 programs, which consists of 173,390 spectra from 3800 to 9200 A sampled on 3849 wavelengths. We classify the original spectra as well as the spectra with the continuum removed. The second set only contains spectral lines, and it is less dependent on uncertainties of the flux calibration. The classification of the spectra with continuum renders 16 major classes. Roughly speaking, stars are split according to their colors, with enough finesse to distinguish dwarfs from giants of the same effective temperature, but with difficulties to separate stars with different metallicities. There are classes corresponding to particular MK types, intrinsically blue stars, dust-reddened, stellar systems, and also classes collecting faulty spectra. Overall, there is no one-to-one correspondence between the classes we derive and the MK types. The classification of spectra without continuum renders 13 classes, the color separation is not so sharp, but it distinguishes stars of the same effective temperature and different metallicities. Some classes thus obtained present a fairly small range of physical parameters (200 K in effective temperature, 0.25 dex in surface gravity, and 0.35 dex in metallicity), so that the classification can be used to estimate the main physical parameters of some stars at a minimum computational cost. We also analyze the outliers of the classification. Most of them turn out to be failures of the reduction pipeline, but there are also high redshift QSOs, multiple stellar systems, dust-reddened stars, galaxies, and, finally, odd spectra whose nature we have not deciphered. The template spectra representative of the classes are publicly available in the online journal.

  18. An automated classification approach to ranking photospheric proxies of magnetic energy build-up

    E-Print Network [OSTI]

    Al-Ghraibah, Amani; McAteer, R T James

    2015-01-01T23:59:59.000Z

    We study the photospheric magnetic field of ~2000 active regions in solar cycle 23 to search for parameters indicative of energy build-up and subsequent release as a solar flare. We extract three sets of parameters: snapshots in space and time- total flux, magnetic gradients, and neutral lines; evolution in time- flux evolution; structures at multiple size scales- wavelet analysis. This combines pattern recognition and classification techniques via a relevance vector machine to determine whether a region will flare. We consider classification performance using all 38 extracted features and several feature subsets. Classification performance is quantified using both the true positive rate and the true negative rate. Additionally, we compute the true skill score which provides an equal weighting to true positive rate and true negative rate and the Heidke skill score to allow comparison to other flare forecasting work. We obtain a true skill score of ~0.5 for any predictive time window in the range 2-24hr, with ...

  19. Working group report: Neutrino physics

    E-Print Network [OSTI]

    2009-01-01T23:59:59.000Z

    Working group report: Neutrino physics Acknowledgements TheWorking group report: Neutrino physics Coordinators: SANDHYAthe report of the neutrino physics working group at WHEPP-X.

  20. Historical literature review on waste classification and categorization

    SciTech Connect (OSTI)

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

    1995-03-01T23:59:59.000Z

    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.

  1. Enhanced radiological work planning

    SciTech Connect (OSTI)

    DECKER, W.A.

    1999-05-21T23:59:59.000Z

    The purpose of this standard is to provide Project Hanford Management Contractors (PHMC) with guidance for ensuring radiological considerations are adequately addressed throughout the work planning process. Incorporating radiological controls in the planning process is a requirement of the Hanford Site Radiological Control Manual (HSRCM-I), Chapter 3, Part 1. This standard is applicable to all PHMC contractors and subcontractors. The essential elements of this standard will be incorporated into the appropriate site level work control standard upon implementation of the anticipated revision of the PHMC Administration and Procedure System.

  2. Work breakdown structure guide

    SciTech Connect (OSTI)

    Not Available

    1987-02-06T23:59:59.000Z

    Utilization of the work breakdown structure (WBS) technique is an effective aid in managing Department of Energy (DOE) programs and projects. The technique provides a framework for project management by focusing on the products that are being developed or constructed to solve technical problems. It assists both DOE and contractors in fulfilling their management responsibilities. This document provides guidance for use of the WBS technique for product oriented work identification and definition. It is one in a series of policy and guidance documents supporting DOE's project manaagement system.

  3. Work with Biological Materials

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengtheningWildfires may contribute more to &83 3.3 Table3Work withWork

  4. Working With Berkeley Lab

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abigpresented in theWorkBusiness1:Working with

  5. Net-Zero Energy Buildings: A Classification System Based on Renewable Energy Supply Options

    SciTech Connect (OSTI)

    Pless, S.; Torcellini, P.

    2010-06-01T23:59:59.000Z

    A net-zero energy building (NZEB) is a residential or commercial building with greatly reduced energy needs. In such a building, efficiency gains have been made such that the balance of energy needs can be supplied with renewable energy technologies. Past work has developed a common NZEB definition system, consisting of four well-documented definitions, to improve the understanding of what net-zero energy means. For this paper, we created a classification system for NZEBs based on the renewable sources a building uses.

  6. Public Works Transportation Infrastructure Study

    E-Print Network [OSTI]

    Minnesota, University of

    Public Works Transportation Infrastructure Study Minneapolis City of Lakes Minneapolis Public Works Transportation Infrastructure Study #12;Public Works Transportation Infrastructure Study Minneapolis City Works Transportation Infrastructure Study Minneapolis City of Lakes Background: · Currently, funding

  7. Nonparametric Transient Classification using Adaptive Wavelets

    E-Print Network [OSTI]

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

    2015-01-01T23:59:59.000Z

    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 ...

  8. WORK PROGRAMME 2009 COOPERATION

    E-Print Network [OSTI]

    Milano-Bicocca, Universit

    _______ 15 SSH-2009 - 4.1.1. Competition and collaboration in access to oil, gas and mineral resourcesWORK PROGRAMME 2009 COOPERATION THEME 8 SOCIO-ECONOMIC SCIENCES AND HUMANITIES (European Commission and the Humanities Page 1 of 38 OBJECTIVE_______________________________________________________________ 3 I CONTEXT

  9. WORK PROGRAMME 2009 COOPERATION

    E-Print Network [OSTI]

    Milano-Bicocca, Universit

    )........................................ 46 Area 2.3.3 Industrial biotechnology: novel high added-value bio-products and bio-processes ..................................................................................................................... 48 Area 2.3.5 Environmental biotechnologyWORK PROGRAMME 2009 COOPERATION THEME 2 FOOD, AGRICULTURE AND FISHERIES, AND BIOTECHNOLOGY

  10. WORK PROGRAMME 2010 COOPERATION

    E-Print Network [OSTI]

    Milano-Bicocca, Universit

    )........................................ 53 Area 2.3.3 Industrial biotechnology: novel high added-value bio-products and bio-processes ..................................................................................................................... 58 Area 2.3.5 Environmental biotechnologyWORK PROGRAMME 2010 COOPERATION THEME 2 FOOD, AGRICULTURE AND FISHERIES, AND BIOTECHNOLOGY

  11. Work Force Discipline

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

    1983-03-23T23:59:59.000Z

    The order provides guidance and procedures and states responsibilities for maintaining work force discipline in DOE. Chg 1, dated 3-11-85; Chg 2, dated 1-6-86; Chg 3, dated 3-21-89; Chg 4, dated 8-2-90; Chg 5, dated 3-9-92; Chg 6, dated 8-21-92, cancels Chg 5.

  12. National Geothermal Resource Assessment and Classification |...

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

    This work will enable lower riskcost deployment of conventional and EGS geothermal power. USGS is also supporting GTP input to DOE National Energy Modeling by providing resource...

  13. Using QA classification to guide design and manage risk

    SciTech Connect (OSTI)

    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

    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.

  14. Using QA classification to guide design and manage risk

    SciTech Connect (OSTI)

    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

    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.

  15. Construction work process management

    E-Print Network [OSTI]

    Soares, Jorge Barbosa

    1994-01-01T23:59:59.000Z

    within an organization. TQM started in the 1940s with the application of Statistical Process Control (SPC) to manufacturing (Tenner and De Toro 1992). During World War II, SPC was largely used in the production of weapons. Dr. Joseph Juran describes...: Stuart D. Anderson (Chair of Committee) V&ctor L. Wdlson (Member) Charles H Samson (Member) Ignacio Rodrigue -It rbe (Department Head) Charles D. M ul1 an (Member) August 1994 Major Subject: Civil Engineering ABSTRACT Construction Work...

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

    E-Print Network [OSTI]

    Gupta, Ajay

    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

  17. Validating Collective Classification Using Cohorts , Abdullah Sonmez

    E-Print Network [OSTI]

    Pratt, Vaughan

    in ecology to the cycles of energy and chemistry that drive weather and environmental change. We build]. General analysis of network data started with a statistical approach based on random graphs [5]. Work toolkit [15], and a book that covers several aspects in depth [16]. Recent work on validation

  18. Invariant classification of orthogonally separable Hamiltonian systems in Euclidean space

    E-Print Network [OSTI]

    Joshua T. Horwood; Raymond G. McLenaghan; Roman G. Smirnov

    2006-05-07T23:59:59.000Z

    The problem of the invariant classification of the orthogonal coordinate webs defined in Euclidean space is solved within the framework of Felix Klein's Erlangen Program. The results are applied to the problem of integrability of the Calogero-Moser model.

  19. 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

  20. 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

  1. 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

  2. On Equivalence Relationships Between Classification and Ranking Algorithms

    E-Print Network [OSTI]

    Rudin, Cynthia

    We demonstrate that there are machine learning algorithms that can achieve success for two separate tasks simultaneously, namely the tasks of classification and bipartite ranking. This means that advantages gained from ...

  3. Dynamic Bayesian networks for the classification of spinning discs

    E-Print Network [OSTI]

    Schmidt, Aurora Clare, 1981-

    2004-01-01T23:59:59.000Z

    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 ...

  4. Toward a Classification Approach to Design Douglas R. Smith

    E-Print Network [OSTI]

    Smith, Douglas R.

    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

  5. Machine Learning and Rule-based Approaches to Assertion Classification

    E-Print Network [OSTI]

    Uzuner, Ozlem

    2009-01-01T23:59:59.000Z

    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 ...

  6. ISpace: Interactive Volume Data Classification Techniques Using Independent Component Analysis

    E-Print Network [OSTI]

    Ma, Kwan-Liu

    , 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

  7. Classification of Two-Phase Flow Patterns by Ultrasonic Sensing

    E-Print Network [OSTI]

    Ray, Asok

    (e.g., petrochemical processes and nuclear power plants). This concept of flow pattern classification are critical for design, analysis, and operation in a variety of industries such as petrochemical processes

  8. Classification of Certain Compact Riemannian Manifolds with Harmonic Curvature a...

    E-Print Network [OSTI]

    Derdzinski, Andrzej

    Classification of Certain Compact Riemannian Manifolds with Harmonic Curvature a... Derdzinski and University Library provides access to digitized documents strictly for noncommercial educational, research) requires prior written permission from the Goettingen State- and University Library. Each copy of any part

  9. Galaxy Classification by Human Eyes and by Artificial Neural Networks

    E-Print Network [OSTI]

    Ofer Lahav

    1995-05-19T23:59:59.000Z

    The rapid increase in data on galaxy images at low and high redshift calls for re-examination of the classification schemes and for new automatic objective methods. Here we present a classification method by Artificial Neural Networks. We also show results from a comparative study we carried out using a new sample of 830 APM digitised galaxy images. These galaxy images were classified by 6 experts independently. It is shown that the ANNs can replicate the classification by a human expert almost to the same degree of agreement as that between two human experts, to within 2 $T$-type units. Similar methods can be applied to automatic classification of galaxy spectra. We illustrate it by Principal Component Analysis of galaxy spectra, and discuss future large surveys.

  10. Machine learning for patient-adaptive ectopic beat classification

    E-Print Network [OSTI]

    Wiens, Jenna Marleau

    2010-01-01T23:59:59.000Z

    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 ...

  11. Multi-Class Classification with Maximum Margin Multiple Kernel

    E-Print Network [OSTI]

    Tomkins, Andrew

    (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

  12. Pattern Classification Using a Quantum System Dan Ventura

    E-Print Network [OSTI]

    Martinez, Tony R.

    Pattern Classification Using a Quantum System Dan Ventura Brigham Young University Department of Computer Science Provo, UT 84602 USA ventura@cs.byu.edu http://axon.cs.byu.edu/Dan We consider and compare

  13. Classification of London's public transport users using smart card data

    E-Print Network [OSTI]

    Ortega-Tong, Meisy A. (Meisy Andrea)

    2013-01-01T23:59:59.000Z

    Understanding transit users in terms of their travel patterns can support the planning and design of better services. User classification can improve market research through more targeted access to groups of interest. It ...

  14. ORISE: Work Smart Standards

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparencyDOENurseResourcesThe Value The U.S. DepartmentWork Smart

  15. Work with Biological Materials

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengtheningWildfires may contribute more to &83 3.3 Table3Work with

  16. Work plan (Nov

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abigpresented in theWork &ARM STM Cloud

  17. Work with Biological Materials

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abigpresented in theWork &ARM STM

  18. Work with Biological Materials

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abigpresented in theWork &ARM STMWork with

  19. Working Group Reports

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abigpresented in theWorkBusiness1: Model4:

  20. Working Together | Jefferson Lab

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abigpresented in theWorkBusiness1:

  1. Removal of testa from food grade copra by air classification

    E-Print Network [OSTI]

    Lopitakwong, Rommanee

    1975-01-01T23:59:59.000Z

    REMOVAL OF TESTA FROM FOOD GRADE COPRA BY AIR CLASSIFICATION A Thesi. s by ROMMANEE LOPITAKWONG Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE December... 1975 Major Subject: Food Technology REMOVAL OF TESTA FROM FOOD GRADE COPRA BY AIR CLASSIFICATION A Thesis by ROMMANEE LOPITAKWONG Approved as to style and content by: (Ch irman of Comm'ttee) ad of Dep tment) Member) (Member) December 1975...

  2. Atomic Classification of 6D SCFTs

    E-Print Network [OSTI]

    Jonathan J. Heckman; David R. Morrison; Tom Rudelius; Cumrun Vafa

    2015-05-04T23:59:59.000Z

    We use F-theory to classify possibly all six-dimensional superconformal field theories (SCFTs). This involves a two step process: We first classify all possible tensor branches allowed in F-theory (which correspond to allowed collections of contractible spheres) and then classify all possible configurations of seven-branes wrapped over them. We describe the first step in terms of "atoms" joined into "radicals" and "molecules," using an analogy from chemistry. The second step has an interpretation via quiver-type gauge theories constrained by anomaly cancellation. A very surprising outcome of our analysis is that all of these tensor branches have the structure of a linear chain of intersecting spheres with a small amount of possible decoration at the two ends. The resulting structure of these SCFTs takes the form of a generalized quiver consisting of ADE-type nodes joined by conformal matter. A collection of highly non-trivial examples involving E8 small instantons probing an ADE singularity is shown to have an F-theory realization. This yields a classification of homomorphisms from ADE subgroups of SU(2) into E8 in purely geometric terms, largely matching results obtained in the mathematics literature from an intricate group theory analysis.

  3. Classification of Seafloor Habitats using Genetic Programming

    E-Print Network [OSTI]

    Fernandez, Thomas

    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

  4. Working Group Report: Sensors

    SciTech Connect (OSTI)

    Artuso, M.; et al.,

    2013-10-18T23:59:59.000Z

    Sensors play a key role in detecting both charged particles and photons for all three frontiers in Particle Physics. The signals from an individual sensor that can be used include ionization deposited, phonons created, or light emitted from excitations of the material. The individual sensors are then typically arrayed for detection of individual particles or groups of particles. Mounting of new, ever higher performance experiments, often depend on advances in sensors in a range of performance characteristics. These performance metrics can include position resolution for passing particles, time resolution on particles impacting the sensor, and overall rate capabilities. In addition the feasible detector area and cost frequently provides a limit to what can be built and therefore is often another area where improvements are important. Finally, radiation tolerance is becoming a requirement in a broad array of devices. We present a status report on a broad category of sensors, including challenges for the future and work in progress to solve those challenges.

  5. How NIF Works

    ScienceCinema (OSTI)

    None

    2010-09-01T23:59:59.000Z

    The National Ignition Facility, located at Lawrence Livermore National Laboratory, is the world's largest laser system... 192 huge laser beams in a massive building, all focused down at the last moment at a 2 millimeter ball containing frozen hydrogen gas. The goal is to achieve fusion... getting more energy out than was used to create it. It's never been done before under controlled conditions, just in nuclear weapons and in stars. We expect to do it within the next 2-3 years. The purpose is threefold: to create an almost limitless supply of safe, carbon-free, proliferation-free electricity; examine new regimes of astrophysics as well as basic science; and study the inner-workings of the U.S. stockpile of nuclear weapons to ensure they remain safe, secure and reliable without the need for underground testing. More information about NIF can be found at:

  6. The regulation of irregular work in Japan : from collusion to conflict

    E-Print Network [OSTI]

    Cisneros, Nathan (Nathan Burley)

    2014-01-01T23:59:59.000Z

    Japan's labor markets are clearly segmented between regular and irregular workers. Regular workers enjoy employment stability, good wages and promotion, and access to good pensions and health plans. Irregular workers-contract, ...

  7. Work Experience Guidance for Managers

    E-Print Network [OSTI]

    Work Experience Guidance for Managers When approached with a request for work experience, managers. Any queries regarding CRB checks should be directed to your designated HR Manager. When a work any work, paid or unpaid: Before 7am or after 7pm For more than two hours on a school day or Sunday

  8. High Temperature Membrane Working Group

    Broader source: Energy.gov [DOE]

    This presentation provides an overview of the High Temperature Membrane Working Group Meeting in May 2007.

  9. Video Shoot Scope of Work

    Broader source: Energy.gov [DOE]

    Video Shoot Scope of Work, from the Tool Kit Framework: Small Town University Energy Program (STEP).

  10. Active Classification: Theory and Application to Underwater Inspection

    E-Print Network [OSTI]

    Hollinger, Geoffrey A; Sukhatme, Gaurav S

    2011-01-01T23:59:59.000Z

    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...

  11. Classification of lepton mixing matrices from finite residual symmetries

    E-Print Network [OSTI]

    Renato M. Fonseca; Walter Grimus

    2014-08-19T23:59:59.000Z

    Assuming that neutrinos are Majorana particles, we perform a complete classification of all possible mixing matrices which are fully determined by residual symmetries in the charged-lepton and neutrino mass matrices. The classification is based on the assumption that the residual symmetries originate from a finite flavour symmetry group. The mathematical tools which allow us to accomplish this classification are theorems on sums of roots of unity. We find 17 sporadic cases plus one infinite series of mixing matrices associated with three-flavour mixing, all of which have already been discussed in the literature. Only the infinite series contains mixing matrices which are compatible with the data at the 3 sigma level.

  12. Classification of fossil fuels according to structural-chemical characteristics

    SciTech Connect (OSTI)

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

    2007-10-15T23:59:59.000Z

    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.

  13. Significance of Classification Techniques in Prediction of Learning Disabilities

    E-Print Network [OSTI]

    Balakrishnan, Julie M David And Kannan

    2010-01-01T23:59:59.000Z

    The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age children. LDs affect about 10 percent of all children enrolled in schools. The problems of children with specific learning disabilities have been a cause of concern to parents and teachers for some time. Decision trees and clustering are powerful and popular tools used for classification and prediction in Data mining. Different rules extracted from the decision tree are used for prediction of learning disabilities. Clustering is the assignment of a set of observations into subsets, called clusters, which are useful in finding the different signs and symptoms (attributes) present in the LD affected child. In this paper, J48 algorithm is used for constructing the decision tree and K-means algorithm is used for creating the clusters. By applying these classification techniques, LD in any child can be identified.

  14. ALGORITHMIC CLASSIFICATION OF DRAINAGE NETWORKS ON MARS AND ITS RELATION TO MARTIAN GEOLOGICAL UNITS. T. F. Stepinski1

    E-Print Network [OSTI]

    Vilalta, Ricardo

    ALGORITHMIC CLASSIFICATION OF DRAINAGE NETWORKS ON MARS AND ITS RELATION TO MARTIAN GEOLOGICAL locations covering 16 major geological units. The classification is quantitative and objective with an existing division into geological units. A morphological interpretation for this emergent classification

  15. Working Papers in Trade and Development

    E-Print Network [OSTI]

    that the underlying causes of deforestation in Indonesia are complex, and cover various aspects of market failure, deforestation, plantation, mining, climate change JEL classification: Q23, Q54, Q56, Q58 #12;1 Forest Land Use

  16. Flexible Work Arrangements Manager Guidelines

    E-Print Network [OSTI]

    Jones, Michelle

    Flexible Work Arrangements Manager Guidelines The Ohio State University Office of Human Resources Page 1 of 2 Flexible Work Arrangement ­ Manager Assessment Issued 07/15/10 When you receive a proposal your manager to review for a decision. Remember that granting a flexible work arrangement may help

  17. Water Resources Working Group Report

    E-Print Network [OSTI]

    Sheridan, Jennifer

    Water Resources Working Group Report This report provided content for the Wisconsin Initiative in February 2011. #12;Water Resources Working Group Wisconsin Initiative on Climate Change Impacts October 2010 #12;Water Resources Working Group Members WICCI Tim Asplund (Co-Chair) - Wisconsin Department

  18. Classification concepts from object oriented software design applied to engineering design

    E-Print Network [OSTI]

    Krishnamurthy, Ritesh

    2002-01-01T23:59:59.000Z

    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...

  19. Rock Classification in Organic Shale Based on Petrophysical and Elastic Rock Properties Calculated from Well Logs

    E-Print Network [OSTI]

    Aranibar Fernandez, Alvaro A

    2015-01-05T23:59:59.000Z

    classification method was then applied to the field examples from the Haynesville shale and Woodford shales for rock classification. The estimates of porosity, TOC, bulk modulus, shear modulus, and volumetric concentrations of minerals were obtained...

  20. Surface Myoelectric Signal Classification Using the AR-GARCH Model Ghulam Rasoolb,

    E-Print Network [OSTI]

    Bouaynaya, Nidhal

    signals. In the pattern classification paradigm for controlling myoelectric prosthesis, the autoregressive, it is normally assumed that the necessary control information can be extracted from the surface myoelectric, myoelectric control. 1. Introduction The pattern classification for myoelectric control is based

  1. Classification of power quality disturbances using time-frequency ambiguity plane and

    E-Print Network [OSTI]

    Mamishev, Alexander

    Classification of power quality disturbances using time-frequency ambiguity plane and neural disturbances in power systems is an important task in power system monitoring and protection, This paper discussed. Keywords -- Power Quality Disturbances, Classification, Ambiguity Plane, Modified Fisher

  2. Text classification Naive Bayes NB theory Evaluation of TC Web Search and Text Mining

    E-Print Network [OSTI]

    Gray, Alexander

    Bayes NB theory Evaluation of TC Take-away today Text classification: definition & relevance theory Evaluation of TC Take-away today Text classification: definition & relevance to information: definition & relevance to information retrieval Naive Bayes: simple baseline text classifier Theory

  3. Performance comparison of feature extraction algorithms for target detection and classification q

    E-Print Network [OSTI]

    Ray, Asok

    Pattern classification Unattended ground sensors: border control a b s t r a c t This paper addresses

  4. Electrochemical Biosensors: Recommended Definitions and Classification

    E-Print Network [OSTI]

    Wilson, George S.; Thé venot, Daniel R.; Toth, Klara; Durst, Richard A.

    1999-01-01T23:59:59.000Z

    Paris XII-Val de Marne, Faculte de Sciences et de Technologie, Centre d'Enseignement et de Recherche sur l'Eau, la Ville et l'Environnement (Cereve), 61 Avenue du Ge ne ral de Gaulle, 94010 Cre teil Cedex, France 2 Technical University... Membership of the Working Party for the present project during 19931999 was as follows: D. R. The venot, R. P. Buck, K. Cammann, R. A. Durst, K. Toth and G. S. Wilson. Republication or reproduction of this report or its storage and/or dissemination...

  5. Catalog, Classification Training Institute | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To Wisdom:EnergyJoshuaThis work plan proposes

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

    E-Print Network [OSTI]

    Hellström, Thomas

    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

  7. 1202 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 46, NO. 5, MAY 1998 Classification of Underwater Mammals

    E-Print Network [OSTI]

    Intrator, Nathan

    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

  8. Building Local Terrain Maps Using SpatioTemporal Classification for Semantic Robot Localization

    E-Print Network [OSTI]

    Zell, Andreas

    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

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

    E-Print Network [OSTI]

    Jiang, Hao

    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

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

    E-Print Network [OSTI]

    Mignotte, Max

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

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

    E-Print Network [OSTI]

    Pinquier, Julien

    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

  12. What Those Call Numbers Mean: The Library of Congress Classification System

    E-Print Network [OSTI]

    Hutcheon, James M.

    What Those Call Numbers Mean: The Library of Congress Classification System The call number system that we use in this library, which is called the Library of Congress Classification System subject areas. If you know what letter indicates the classification for the subject you need, you can find

  13. Effective Graph Classification Based on Topological and Label Attributes , Murat Semerci2

    E-Print Network [OSTI]

    Zaki, Mohammed Javeed

    online 12 June 2012 in Wiley Online Library (wileyonlinelibrary.com). Abstract: Graph classificationEffective Graph Classification Based on Topological and Label Attributes Geng Li1 , Murat Semerci2 propose an alternative approach to graph classification that is based on feature vectors constructed from

  14. Predicting Library of Congress Classifications From Library of Congress Subject Headings

    E-Print Network [OSTI]

    Frank, Eibe

    Predicting Library of Congress Classifications From Library of Congress Subject Headings Eibe Frank This paper addresses the problem of automatically assigning a Library of Congress Classification (LCC and training data from a large library catalog to learn a model which maps from sets of LCSH to classifications

  15. U.S. Geological Survey Library Classification By R. Scott Sasscer

    E-Print Network [OSTI]

    Torgersen, Christian

    U.S. Geological Survey Library Classification System By R. Scott Sasscer U.S. Geological Survey classification system is a tool for classifying and retrieving geoscience library materials. The index promotes.S. Geological Survey Library classification system / by R. Scott Sasscer. p. cm. (U.S. Geological Survey

  16. LETTER Communicated by Christopher Williams Prototype Classification: Insights from Machine Learning

    E-Print Network [OSTI]

    LETTER Communicated by Christopher Williams Prototype Classification: Insights from Machine-of-class prototype classification using algorithms from machine learning that satisfy a set of invariance properties. We report a simple yet general approach to express different types of linear classification

  17. Stream classification using hierarchical artificial neural networks: A fluvial hazard management tool

    E-Print Network [OSTI]

    Vermont, University of

    Stream classification using hierarchical artificial neural networks: A fluvial hazard management-in-Chief Keywords: Stream classification Artificial neural networks Kohonen self-organizing maps Counterpropagation. In this research, we apply non-parametric, clus- tering and classification artificial neural networks to assimilate

  18. SOUND CLASSIFICATION IN A SMART ROOM ENVIRONMENT: AN APPROACH USING GMM AND HMM METHODS

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    be hospitalized at home and smart information systems would be needed in order to assist human operatorsSOUND CLASSIFICATION IN A SMART ROOM ENVIRONMENT: AN APPROACH USING GMM AND HMM METHODS Michel suited for sound classification. Until now, GMMs are frequently used for sound classification in smart

  19. University Policy No.: AC1110 Classification: Academic and Students

    E-Print Network [OSTI]

    Victoria, University of

    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

  20. Group classification of heat conductivity equations with a nonlinear source

    E-Print Network [OSTI]

    Zhdanov, Renat

    Group classification of heat conductivity equations with a nonlinear source R.Z. Zhdanov Institute. It is shown that there are three, seven, twenty eight and twelve inequivalent classes of partial differential to the class under study and admitting symmetry group of the dimension higher than four is locally equivalent

  1. Exploiting Monotonicity Constraints in Active Learning for Ordinal Classification

    E-Print Network [OSTI]

    Utrecht, Universiteit

    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

  2. Geometrical classification of Killing tensors on bidimensional flat manifolds

    E-Print Network [OSTI]

    C. Chanu; L. Degiovanni; R. G. McLenaghan

    2006-08-31T23:59:59.000Z

    Valence two Killing tensors in the Euclidean and Minkowski planes are classified under the action of the group which preserves the type of the corresponding Killing web. The classification is based on an analysis of the system of determining partial differential equations for the group invariants and is entirely algebraic. The approach allows to classify both characteristic and non characteristic Killing tensors.

  3. 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

  4. University Policy No.: BP3400 Classification: Buildings and Properties

    E-Print Network [OSTI]

    Victoria, University of

    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

  5. University Policy No.: BP3200 Classification: Buildings and Properties

    E-Print Network [OSTI]

    Victoria, University of

    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

  6. University Policy No.: AC1130 Classification: Academic and Students

    E-Print Network [OSTI]

    Victoria, University of

    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

  7. University Policy No.: FM5105 Classification: Financial Management

    E-Print Network [OSTI]

    Victoria, University of

    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

  8. University Policy No.: FM5110 Classification: Financial Management

    E-Print Network [OSTI]

    Victoria, University of

    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

  9. University Policy No.: SS9300 Classification: Safety and Security

    E-Print Network [OSTI]

    Victoria, University of

    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

  10. University Policy No.: HR6105 Classification: Human Resources

    E-Print Network [OSTI]

    Victoria, University of

    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

  11. Group classification of a nonlinear sound wave model

    E-Print Network [OSTI]

    J. C. Ndogmo

    2008-06-26T23:59:59.000Z

    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.

  12. Storage Device Performance Prediction with Selective Bagging Classification and Regression

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Storage Device Performance Prediction with Selective Bagging Classification and Regression Tree Lei}@eng.wayne.edu, cheneh@ustc.edu.cn Abstract. Storage device performance prediction is a key element of self-managed storage systems and application planning tasks, such as data assignment and configuration. Based

  13. Occupant Classification System for Automotive Airbag Suppression Michael E. Farmer

    E-Print Network [OSTI]

    Occupant Classification System for Automotive Airbag Suppression Michael E. Farmer§ and Anil K@cse.msu.edu Abstract The introduction of airbags into automobiles has significantly improved the safety of the occupants. Unfortunately, airbags can also cause fatal injuries if the occupant is a child smaller (in

  14. Wind speed PDF classification using Dirichlet mixtures Rudy CALIF1

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Wind speed PDF classification using Dirichlet mixtures Rudy CALIF1 , Richard EMILION2 , Ted'Orlans), UMR CNRS 6628 Universit d'Orlans, 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

  15. Hazard classification criteria for non-nuclear facilities

    SciTech Connect (OSTI)

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

    1997-03-01T23:59:59.000Z

    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.

  16. Improved Classification of Medical Data Using Abductive Network Committees

    E-Print Network [OSTI]

    Abdel-Aal, Radwan E.

    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

  17. Morphological Image Analysis and Its Application to Sunspot Classification

    E-Print Network [OSTI]

    van Dyk, David

    magnetic polarity. The classification and tracking of sunspots is an active undertaking of solar both of their future evo- lution and of explosive associated events higher in the solar atmosphere, such as solar flares and coronal mass ejections. To aid in this prediction, sunspot groups are manually

  18. A Visual Analytics Approach for Correlation, Classification, and

    E-Print Network [OSTI]

    Swan II, J. Edward

    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

  19. 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 of accurate vegetation maps from optical satellite data requires use of reference data to aid

  20. Automatic learning for the classification of primary frequency control behaviour

    E-Print Network [OSTI]

    Wehenkel, Louis

    types of expected or unexpected behaviours. The proposed approach is based on automatic learning whichAutomatic learning for the classification of primary frequency control behaviour Bertrand. Abstract-- In this paper we propose a methodology based on supervised automatic learning in order

  1. Industrial Steam Power Cycles Final End-Use Classification

    E-Print Network [OSTI]

    Waterland, A. F.

    1983-01-01T23:59:59.000Z

    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...

  2. Examining the Evolution and Distribution of Patent Classifications

    E-Print Network [OSTI]

    Brner, Katy

    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

  3. Classification and forecasting of load curves Nolwen Huet

    E-Print Network [OSTI]

    Cuesta, Juan Antonio

    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

  4. Archives Research Assistant Classification: Student Assistant 3 (LSA 3)

    E-Print Network [OSTI]

    Archives Research Assistant Classification: Student Assistant 3 (LSA 3) Salary: $9.50 - $9.69 Hours: 15-20 per week The University of Oregon Libraries invites application for a part-time, temporary Archives Research Assistant in Knight Library's Special Collections and University Archives. The student

  5. University Policy No.: IM7305 Classification: Information Management

    E-Print Network [OSTI]

    Victoria, University of

    University Policy No.: IM7305 Classification: Information Management COPYRIGHT AND THE USE OF VIDEO of Victoria Libraries, McPherson Library Loan Policy (Policy 2550, section 2.1.2); "Fair Dealing" means a fair as it has in the University of Victoria Libraries, McPherson Library Loan Policy (Policy 2550, section 2

  6. University Policy No.: IM7300 Classification: Information Management

    E-Print Network [OSTI]

    Victoria, University of

    University Policy No.: IM7300 Classification: Information Management POLICY ON COPYRIGHT. The Act is available for you to read at the reference desks of the McPherson Library, the Diana Priestly Law Library, and the Curriculum Laboratory. Computer programs are usually licensed rather than

  7. Insights from Machine Learning Applied to Human Visual Classification

    E-Print Network [OSTI]

    Insights from Machine Learning Applied to Human Visual Classification Arnulf B. A. Graf and Felix A both psy- chophysical and machine learning techniques. Frontal views of human faces were used processes are still limited. Here we report on a study combining psychophysical and ma- chine learning

  8. Robust Neuroimaging-Based Classification Techniques of Autistic vs. Typically

    E-Print Network [OSTI]

    Farag, Aly A.

    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

  9. Morphological Classification of Galaxies Using Artificial Neural Networks

    E-Print Network [OSTI]

    Nicholas M. Ball

    2001-10-22T23:59:59.000Z

    The results of morphological galaxy classifications performed by humans and by automated methods are compared. In particular, a comparison is made between the eyeball classifications of 454 galaxies in the Sloan Digital Sky Survey (SDSS) commissioning data (Shimasaku et al. 2001) with those of supervised artificial neural network programs constructed using the MATLAB Neural Network Toolbox package. Networks in this package have not previously been used for galaxy classification. It is found that simple neural networks are able to improve on the results of linear classifiers, giving correlation coefficients of the order of 0.8 +/- 0.1, compared with those of around 0.7 +/- 0.1 for linear classifiers. The networks are trained using the resilient backpropagation algorithm, which, to the author's knowledge, has not been specifically used in the galaxy classification literature. The galaxy parameters used and the network architecture are both important, and in particular the galaxy concentration index, a measure of the concentration of light towards the centre of the galaxy, is the most significant parameter. Simple networks are briefly applied to 29,429 galaxies with redshifts from the SDSS Early Data Release. They give an approximate ratio of types E/S0:Sp:Irr of 14 +/- 5 : 86 +/- 12 : 0 +/- 0.1, which broadly agrees with the well known approximate ratios of 20:80:1 observed at low redshift.

  10. Classification of the Visual Landscape for Transmission Planning1

    E-Print Network [OSTI]

    Standiford, Richard B.

    . 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

  11. Test-Cost Sensitive Classification on Data with Missing Values

    E-Print Network [OSTI]

    Yang, Qiang

    Test-Cost Sensitive Classification on Data with Missing Values Qiang Yang, Senior Member, IEEE values on several data sets. Index Terms--Cost-sensitive learning, decision trees, naive Bayes. 1, Charles Ling, Xiaoyong Chai, and Rong Pan Abstract--In the area of cost-sensitive learning, inductive

  12. Fuzzy Rough Positive Region based Nearest Neighbour Classification

    E-Print Network [OSTI]

    Gent, Universiteit

    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

  13. THE CLASSIFICATION OF EXCEPTIONAL CDQL WEBS ON COMPACT COMPLEX SURFACES

    E-Print Network [OSTI]

    Pereira, Jorge Vitrio

    THE CLASSIFICATION OF EXCEPTIONAL CDQL WEBS ON COMPACT COMPLEX SURFACES J. V. PEREIRA AND L. PIRIO Abstract. Codimension one webs are configurations of finitely many codi- mension one foliations in general equation among the first integrals of the foliations defining the web reminiscent of Abel's addition the

  14. Knowledge Transformation for Cross-Domain Sentiment Classification

    E-Print Network [OSTI]

    Li, Tao

    Knowledge Transformation for Cross-Domain Sentiment Classification Tao Li School of Computer With the explosion of user-generated web2.0 content in the form of blogs, wikis and discussion forums, the Internet domain, thereby build- ing high-quality sentiment models without manual effort? We outline a novel

  15. Context-Aware Query Classification Huanhuan Cao1

    E-Print Network [OSTI]

    Yang, Qiang

    Context-Aware Query Classification Huanhuan Cao1 Derek Hao Hu2 Dou Shen3 Daxin Jiang4 Jian-Tao Sun {derekhh, qyang}@cse.ust.hk 3,4 {doushen, djiang, jtsun}@microsoft.com ABSTRACT Understanding users' search become one of the most popular tools for Web users to find their desired information. As a result

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

    E-Print Network [OSTI]

    Takiguchi, Tetsuya

    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

  17. CLASSIFICATION AND REACTIVITY OF SECONDARY ALUMINUM PRODUCTION WASTE

    E-Print Network [OSTI]

    environment.14 Keywords: Landfills, aluminum, hydrogen, salt cake, dross, calorimeter, waste disposal15 16 17CLASSIFICATION AND REACTIVITY OF SECONDARY ALUMINUM PRODUCTION WASTE Navid H. Jafari Student Member and Reactivity of Secondary Aluminum Production Waste1 Navid H. Jafari1 , Timothy D. Stark2 and Ralph Roper3 2 3

  18. Integration of Local and Global Shape Analysis for Logo Classification

    E-Print Network [OSTI]

    Samet, Hanan

    Integration of Local and Global Shape Analysis for Logo Classification Jan Neumann, Hanan Samet@il.ibm.com Abstract. A comparison is made of global and local methods for the shape analysis of logos in an image metric on the logos. As representatives for the two classes of methods, we use the negative shape method

  19. AUTOMATIC TV LOGO DETECTION AND CLASSIFICATION IN BROADCAST VIDEOS

    E-Print Network [OSTI]

    AUTOMATIC TV LOGO DETECTION AND CLASSIFICATION IN BROADCAST VIDEOS Nedret OZAY, Bulent SANKUR In this study1 , we present a fully automatic TV logo iden- tification system. TV logos are detected in static of a logo candidate is established, TV logos are recognized via their subspace fea- tures. Comparative

  20. TOWARDS VERTICAL VELOCITY AND HYDROMETEOR CLASSIFICATION FROM ARM WIND PROFILERS

    E-Print Network [OSTI]

    - 98CH10886 with the U.S. Department of Energy. The publisher by accepting the manuscriptTOWARDS VERTICAL VELOCITY AND HYDROMETEOR CLASSIFICATION FROM ARM WIND PROFILERS Scott Giangrande Department/Atmospheric Sciences Division Brookhaven National Laboratory U.S. Department of Energy Office

  1. Defining work from operational principles

    E-Print Network [OSTI]

    R. Gallego; J. Eisert; H. Wilming

    2015-04-20T23:59:59.000Z

    In recent years we have witnessed a concentrated effort to make sense of thermodynamics for small-scale systems. One of the main difficulties is that, at the nano-scale, thermal fluctuations of energy in general render it conceptually difficult to distinguish work from heat. Despite of several attempts to resolve this issue, many of which inspired by quantum information theory, there is still remarkable little consensus on it. In this work, we attempt to define work in a strictly operational way. In our resource-theoretic approach, agents wish to agree upon how much work needs to be invested to effect a transition from one state of an arbitrary quantum work-storage device to another. We introduce basic operational principles, and deduce from them a strict set of mathematical properties that any reasonable function quantifying such work has to fulfil. One of those generalises strong sub-additivity, a key property in quantum information theory, to the domain of thermodynamics. We show that one work quantifier fulfilling all the required properties is the difference of the non-equilibrium free energy of the initial and final state of the work-storage system. More generally, for any work quantifier fulfilling the stated properties, we can derive a quantitative second law in the sense of bounding the work that can be performed using some non-equilibrium resource by the work that is needed to create it. We furthermore discuss the role of path dependence for work quantifiers and the connection to the concept of probability-distributions of work. Our mathematical results can be formulated abstractly and carry over to other resource theories than quantum thermodynamics.

  2. Work For Others (Non-Department of Energy Funded Work)

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

    2001-01-03T23:59:59.000Z

    Work for Others (WFO) is the performance of work for non-Department of Energy (DOE) entities by DOE/National Nuclear Security Administration (NNSA) and/or their respective contractor personnel or the use of DOE/NNSA facilities that is not directly funded by DOE appropriations. WFO has the following objectives. Cancels DOE O 481.1.

  3. Work For Others (Non-Department of Energy Funded Work)

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

    2001-09-28T23:59:59.000Z

    Work for Others (WFO) is the performance of work for non-Department of Energy (DOE) entities by DOE/National Nuclear Security Administration (NNSA) and/or their respective contractor personnel or the use of DOE/NNSA facilities that is not directly funded by DOE appropriations. Cancels DOE O 481.1A.

  4. Social Work and Women's Studies Social work engages with individuals,

    E-Print Network [OSTI]

    and Women's Studies can lead to careers in child and youth protection services, women's shelters, sexualSocial Work and Women's Studies Social work engages with individuals, families, communities a positive difference in the lives of others. In your fourth year, you will apply what you have learned

  5. Coping with Hot Work Environments

    E-Print Network [OSTI]

    Smith, David

    2005-04-28T23:59:59.000Z

    exposed to these conditions. A hot work environment can impair safety and health. Both workers and their employers are responsi- ble for taking steps to prevent heat stress in the work- place. How Your Body Handles Heat Humans are warm-blooded, which... evaporation. Wiping sweat from the skin with a cloth also prevents cooling from evaporation. In hot, humid conditions, hard work becomes harder. The sweat glands release moisture and essential David W. Smith, Extension Safety Program The Texas A...

  6. Radiation Safety Work Control Form

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

    Radiation Safety Work Control Form (see instructions on pg-3) Rev. May 2014 Area: Form : Date: Preliminary Applicability Screen: (a) Will closing the beam line injection stoppers...

  7. Infrared Thermography (IRT) Working Group

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

    Infrared Thermography (IRT) Working Group Sco McWilliams U.S. Photovoltaic Manufacturing Consor;um (PVMC) Infrared Thermography Infrared Thermography (IRT) has been demonstrated...

  8. Surveillance Guides - Work Control Process

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

    established and is utilized to effectively plan, authorize, and execute the identified work for the facility or activity. Both workers and management demonstrate a commitment to...

  9. INL @ work: Nuclear Reactor Operator

    SciTech Connect (OSTI)

    Russell, Patty

    2008-01-01T23:59:59.000Z

    INL @ work features jobs at the Idaho National Laboratory. Learn more about careers and energy research at INL's facebook site http://www.facebook.com/idahonationallaboratory

  10. Construction Work in Progress (Kansas)

    Broader source: Energy.gov [DOE]

    This Act allows nuclear power plants to qualify for recovery of Construction Work in Progress (CWIP) and other preconstruction expenditures in rates. Previously, nuclear power plants were excluded...

  11. INL @ work: Nuclear Reactor Operator

    ScienceCinema (OSTI)

    Russell, Patty

    2013-05-28T23:59:59.000Z

    INL @ work features jobs at the Idaho National Laboratory. Learn more about careers and energy research at INL's facebook site http://www.facebook.com/idahonationallaboratory

  12. work

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

    to 9,500 after the first quarter of this year through a reduction in the support service contract. Fund management followed administrative controls that met the expectations...

  13. FY 1994 Annual Work Plan

    SciTech Connect (OSTI)

    Not Available

    1993-10-01T23:59:59.000Z

    This is the third Office of Inspector General (OIG)Annual Work Plan. Its purpose is to summarize work completed in Fiscal Year (FY) 1993, identify ongoing projects from previous fiscal years which the OIG intends to continue into FY 1994, and announce planned projects which the OIG intends to begin in FY 19994.

  14. Working With Radiation For Research

    E-Print Network [OSTI]

    Jia, Songtao

    working with radiation The radiation badge is not a protective device It cannot shield you from Negative Exponential Protection From Radiation #12;18 Time Distance Shielding Basic Principles #121 Working With Radiation For Research Thomas Cummings Junior Physicist Environmental Health

  15. Hazardous Working Policy November 2012

    E-Print Network [OSTI]

    Doran, Simon J.

    for: The management of University workers performing hazardous tasks or working in hazardous areas;2 Hazardous Areas: are areas where a University worker may be exposed to risks that are considered greater1 Hazardous Working Policy November 2012 Introduction The University of Surrey acknowledges

  16. Radiological Work Planning and Procedures

    E-Print Network [OSTI]

    Kurtz, J E

    2000-01-01T23:59:59.000Z

    Each facility is tasked with maintaining personnel radiation exposure as low as reasonably achievable (ALARA). A continued effort is required to meet this goal by developing and implementing improvements to technical work documents (TWDs) and work performance. A review of selected TWDs from most facilities shows there is a need to incorporate more radiological control requirements into the TWD. The Radioactive Work Permit (RWP) provides a mechanism to place some of the requirements but does not provide all the information needed by the worker as he/she is accomplishing the steps of the TWD. Requiring the engineers, planners and procedure writers to put the radiological control requirements in the work steps would be very easy if all personnel had a strong background in radiological work planning and radiological controls. Unfortunately, many of these personnel do not have the background necessary to include these requirements without assistance by the Radiological Control organization at each facility. In add...

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

    E-Print Network [OSTI]

    Rossiter, D G "David"

    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

  18. Work for Others (Non-Department of Energy Funded Work)

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

    2005-01-24T23:59:59.000Z

    Work for Others is the performance of work for non-Department of Energy (DOE) entities by DOE/National Nuclear Security Administration (NNSA) and/or their respective contractor personnel or the use of DOE/NNSA facilities that is not directly funded by DOE appropriations. Cancels DOE O 481.1B. Certified 1-13-11. Admin Chg 1, dated 3-14-11.

  19. RCRA corrective action: Work plans

    SciTech Connect (OSTI)

    Not Available

    1995-02-01T23:59:59.000Z

    This Information Brief describes the work plans that owners/operators may have to prepare in conjunction with the performance of corrective action for compliance with RCRA guidelines. In general, the more complicated the performance of corrective action appears from the remedial investigation and other analyses, the more likely it is that the regulator will impose work plan requirements. In any case, most owner/operators will prepare work plans in conjunction with the performance of corrective action processes as a matter of best engineering management practices.

  20. Semi-supervised Learning for Photometric Supernova Classification

    E-Print Network [OSTI]

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

    2011-01-01T23:59:59.000Z

    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...

  1. A Multi-Dimensional Classification Model for Scientific Workflow Characteristics

    SciTech Connect (OSTI)

    Ramakrishnan, Lavanya; Plale, Beth

    2010-04-05T23:59:59.000Z

    Workflows have been used to model repeatable tasks or operations in manufacturing, business process, and software. In recent years, workflows are increasingly used for orchestration of science discovery tasks that use distributed resources and web services environments through resource models such as grid and cloud computing. Workflows have disparate re uirements and constraints that affects how they might be managed in distributed environments. In this paper, we present a multi-dimensional classification model illustrated by workflow examples obtained through a survey of scientists from different domains including bioinformatics and biomedical, weather and ocean modeling, astronomy detailing their data and computational requirements. The survey results and classification model contribute to the high level understandingof scientific workflows.

  2. Classification of birth weights based on dichotomous variables

    E-Print Network [OSTI]

    Perry, Lynn McIver

    1980-01-01T23:59:59.000Z

    in contructing classification/ discrimination models has been to treat qualitative data as if they were continuous and app'Iy techniques such as Fisher's Linear Discrimi'nant Function (LDF), some authors recently have advocated the reverse procedure ? convert... of Fishers' Linear Discriminant Function (LDF). Although the coasnon practice is clearly to treat qualitative data as if they were continuous and use Fishers' LDF, some authors have advocated the reverse procedure, which consists of converting continuous...

  3. Classification Policy, Guidance & Reports | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13, 2014 Building AmericaEnergyand AssurancesChristineClassification

  4. Classification/Declassification of Government Documents | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13, 2014 Building AmericaEnergyandClassification

  5. Utility Security & Resiliency: Working Together

    Broader source: Energy.gov [DOE]

    Presentationgiven at the Federal Utility Partnership Working Group (FUPWG) Fall 2008 meetingdiscusses Edison Electric Institute (EEI), including its key security objectives, key activities, cybersecurity activities, and spare transformer equipment program (STEP).

  6. Recovery Act Funds at Work

    Broader source: Energy.gov [DOE]

    Funds from the American Recovery and Reinvestment Act of 2009 (Recovery Act) are being put to work to improve safety, reliability, and service in systems across the country. Here are case studies from a variety of Recovery Act programs.

  7. FY 1994 Annual Work Plan

    SciTech Connect (OSTI)

    Not Available

    1993-09-30T23:59:59.000Z

    In accordance with the Inspector General`s Strategic Planning Policy directive, the Office of Inspector General (OIG) annually updates its Strategic Plan with budgetary and program guidance for the next fiscal year. The program guidance identifies and establishes priorities for OIG coverage of important DOE issues and operations, provides the basis for assigning OIG resources, and is the source for issues covered in Assistant Inspectors General annual work plans. The Office of the Assistant Inspector General for Audits (AIGA) publishes an Annual Work Plan in September of each year. The plan includes the OIG program guidance and shows the commitment of resources necessary to accomplish the assigned work and meet our goals. The program guidance provides the framework within which the AIGA work will be planned and accomplished. Audits included in this plan are designed to help insure that the requirements of our stakeholders have been considered and blended into a well balanced audit program.

  8. CSREES Nutrient Management Working Meeting

    E-Print Network [OSTI]

    planning process Nutrient management training P-Indexes and tools developed Educational materials #12Welcome CSREES Nutrient Management Working Meeting May 4 and 5, 2004 Atlanta, GA #12;University Objectives Information Sharing Among States Nutrient management regulations Nutrient management

  9. Classification of Flipped SU(5) Heterotic-String Vacua

    E-Print Network [OSTI]

    Alon E. Faraggi; John Rizos; Hasan Sonmez

    2014-03-31T23:59:59.000Z

    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.

  10. LibShortText: A Library for Short-text Classification and Analysis LibShortText: A Library for Short-text Classification and

    E-Print Network [OSTI]

    Lin, Chih-Jen

    LibShortText: A Library for Short-text Classification and Analysis LibShortText: A Library for Short-text Classification and Analysis Hsiang-Fu Yu rofuyu@cs.utexas.edu Department of Computer Science University, Taipei 106, Taiwan Editor: Editor name Abstract LibShortText is an open source library for short

  11. Work for Others (Non-Department of Energy Funded Work)

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

    2005-01-24T23:59:59.000Z

    Work for Others is the performance of work for non-Department of Energy (DOE) entities by DOE/National Nuclear Security Administration (NNSA) and/or their respective contractor personnel or the use of DOE/NNSA facilities that is not directly funded by DOE appropriations. Cancels DOE O 481.1B. Certified 1-13-11. Admin Chg 1, dated 3-14-11, cancels DOE O 481.1C. Admin Chg 2, dated 3-9-15, cancels DOE O 481.1C Admin Chg 1

  12. Kinematic classifications of local interacting galaxies: implications for the merger/disk classifications at high-z

    E-Print Network [OSTI]

    Hung, Chao-Ling; Yuan, Tiantian; Larson, Kirsten L; Casey, Caitlin M; Smith, Howard A; Sanders, D B; Kewley, Lisa J; Hayward, Christopher C

    2015-01-01T23:59:59.000Z

    The classification of galaxy mergers and isolated disks is key for understanding the relative importance of galaxy interactions and secular evolution during the assembly of galaxies. The kinematic properties of galaxies as traced by emission lines have been used to suggest the existence of a significant population of high-z star-forming galaxies consistent with isolated rotating disks. However, recent studies have cautioned that post-coalescence mergers may also display disk-like kinematics. To further investigate the robustness of merger/disk classifications based on kinematic properties, we carry out a systematic classification of 24 local (U)LIRGs spanning a range of galaxy morphologies: from isolated spiral galaxies, ongoing interacting systems, to fully merged remnants. We artificially redshift the WiFeS observations of these local (U)LIRGs to z=1.5 to make a realistic comparison with observations at high-z, and also to ensure that all galaxies have the same spatial sampling of ~900 pc. Using both kineme...

  13. Radiological Work Planning and Procedure

    SciTech Connect (OSTI)

    KURTZ, J.E.

    2000-01-01T23:59:59.000Z

    Each facility is tasked with maintaining personnel radiation exposure as low as reasonably achievable (ALARA). A continued effort is required to meet this goal by developing and implementing improvements to technical work documents (TWDs) and work performance. A review of selected TWDs from most facilities shows there is a need to incorporate more radiological control requirements into the TWD. The Radioactive Work Permit (RWP) provides a mechanism to place some of the requirements but does not provide all the information needed by the worker as he/she is accomplishing the steps of the TWD. Requiring the engineers, planners and procedure writers to put the radiological control requirements in the work steps would be very easy if all personnel had a strong background in radiological work planning and radiological controls. Unfortunately, many of these personnel do not have the background necessary to include these requirements without assistance by the Radiological Control organization at each facility. In addition, there seems to be confusion as to what should be and what should not be included in the TWD.

  14. Master of Social Work Program School of Social Work

    E-Print Network [OSTI]

    Su, Xiao

    within are intended to guide and facilitate the educational experience of our graduate students, details of Social Work Program Overview 11 Mission and Goals 11 General Organization and Administration Professional and Academic Advising for MSW Students 28 Concerns about the MSW Program 28 General University

  15. CFCC working group meeting: Proceedings

    SciTech Connect (OSTI)

    NONE

    1997-12-31T23:59:59.000Z

    This report is a compilation of the vugraphs presented at this meeting. Presentations covered are: CFCC Working Group; Overview of study on applications for advanced ceramics in industries for the future; Design codes and data bases: The CFCC program and its involvement in ASTM, ISO, ASME, and military handbook 17 activities; CFCC Working Group meeting (McDermott Technology); CFCC Working Group meeting (Textron); CFCC program for DMO materials; Developments in PIP-derived CFCCs; Toughened Silcomp (SiC-Si) composites for gas turbine engine applications; CFCC program for CVI materials; Self-lubricating CFCCs for diesel engine applications; Overview of the CFCC program`s supporting technologies task; Life prediction methodologies for CFCC components; Environmental testing of CFCCs in combustion gas environments; High-temperature particle filtration ORNL/DCC CRADA; HSCT CMC combustor; and Case study -- CFCC shroud for industrial gas turbines.

  16. Long working distance interference microscope

    DOE Patents [OSTI]

    Sinclair, Michael B.; DeBoer, Maarten P.; Smith, Norman F.

    2004-04-13T23:59:59.000Z

    Disclosed is a long working distance interference microscope suitable for three-dimensional imaging and metrology of MEMS devices and test structures on a standard microelectronics probe station. The long working distance of 10-30 mm allows standard probes or probe cards to be used. This enables nanometer-scale 3-D height profiles of MEMS test structures to be acquired across an entire wafer. A well-matched pair of reference/sample objectives is not required, significantly reducing the cost of this microscope, as compared to a Linnik microinterferometer.

  17. Arbeidslivets lover Act relating to working environment,

    E-Print Network [OSTI]

    Johansen, Tom Henning

    Arbeidslivets lover Act relating to working environment, working hours and employment protection, etc. (Working Environment Act). as subsequently amended, last by the Act of 14. December 2012 No. 80.notification................................................................... 6 Chapter 3. Working environment measures..................................... 6 Section.3

  18. Neural frame classification 1 Walter J Freeman Origin, structure, and role of background EEG activity

    E-Print Network [OSTI]

    Freeman, Walter J.

    -1244 from the National Aeronautics and Space Administration, and EIA- 0130352 from the National Science International Database and Brain Dynamics Centre #12;Neural frame classification

  19. Tip sheet: Expanded Library of Congress Call Number Classification system Call Number Subject Matter

    E-Print Network [OSTI]

    Kambhampati, Patanjali

    Tip sheet: Expanded Library of Congress Call Number Classification system Call Number Subject R: Medicine T: Technology U: Military Science Z: Bibliography. Library Science. Information

  20. Federal Utility Partnership Working Group

    Broader source: Energy.gov [DOE]

    The Federal Utility Partnership Working Group (FUPWG) establishes partnerships and facilitates communications among Federal agencies, utilities, and energy service companies. The group develops strategies to implement cost-effective energy efficiency and water conservation projects through utility incentive programs at Federal sites.

  1. Groupware Toolkits for Synchronous Work

    E-Print Network [OSTI]

    Greenberg, Saul

    sessions. A set of groupware programming abstractions allows develop- ers to control the behaviour's work- ing style. We illustrate the many ways these components can be designed by drawing on our own conventional single-user GUI toolkits are available, implementing even the simplest systems can be lengthy

  2. FINAL Announcement International Brainstorming Work-

    E-Print Network [OSTI]

    FINAL Announcement 1st International Brainstorming Work- shop on Waste to Energy in India Organized, though in an energy in-efficient way. Organic MSW is identified as one of the potential sources on food versus fuel intensifies, biomass can provide added income to farmers with- out compromising

  3. WORKING PAPER N 2010 -11

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    WORKING PAPER N 2010 - 11 Taxation of early retirement windows and delaying retirement: the French-5472 halshs-00809758,version1-9Apr2013 #12;Taxation of early retirement windows and delaying retirement increased the mandatory retirement age and simultaneously it set a tax levied on early retirement windows

  4. WORKING PAPER N 2010 -7

    E-Print Network [OSTI]

    Boyer, Edmond

    WORKING PAPER N 2010 - 7 Health and Early Retirement: Evidence from French Data for individuals-5472 halshs-00809723,version1-9Apr2013 #12;1 Health and Early Retirement: Evidence from French Data in the retirement decision. Significant links between professional paths, retirement age and retirement conditions

  5. How Minds Work Brains, Ontologies &

    E-Print Network [OSTI]

    Memphis, University of

    or software agent is a virtual machine implemented on another virtual machine The minds of humans or animals are virtual machines implemented on brains #12;Brains, Ontologies & Virtual Machines 13 Virtual1 How Minds Work Brains, Ontologies & Virtual Machines Stan Franklin Computer Science Division

  6. Inside Michigan Work First Programs

    E-Print Network [OSTI]

    Shyy, Wei

    Inside Michigan Work First Programs April, 2000 Poverty and Social Policy Welfare Michigan Program and Vicki Enright of the Michigan Department of Career Development who provided additional comments. Also Associate Program on Poverty and Social Welfare Policy University of Michigan 540 East Liberty Street, Suite

  7. My PhD Plan Completed Work

    E-Print Network [OSTI]

    Ruina, Andy L.

    Background My PhD Plan Completed Work Planned Work Hierarchical Biped Control A Exam Matthew Kelly August 4, 2014 Matthew Kelly Hierarchical Biped Control 1 / 34 #12;Background My PhD Plan Completed Work Planned Work Table of Contents 1 Background 2 My PhD Plan 3 Completed Work 4 Planned Work Push Hold Free

  8. On the Classification of Low-Rank Braided Fusion Categories

    E-Print Network [OSTI]

    Bruillard, Paul Joseph

    2013-05-23T23:59:59.000Z

    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...

  9. Complete Classification of 1+1 Gravity Solutions

    E-Print Network [OSTI]

    T. Kloesch; T. Strobl

    1997-11-25T23:59:59.000Z

    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.

  10. September 2012, Work Force Retention Work Group Status Overview

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideo »UsageSecretary of Energy Advisory10MEASUREMENTSensors,8, 200810Work Force

  11. Work Force Retention Work Group Charter | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently20,000 Russian Nuclear Warheads|ofEvents »SSL BasicsKawtarSue CangeWendeWoodWork Force

  12. Automatic Fault Characterization via Abnormality-Enhanced Classification

    SciTech Connect (OSTI)

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

    2010-12-20T23:59:59.000Z

    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.

  13. Hazard categorization and classification for the sodium storage facility

    SciTech Connect (OSTI)

    Van Keuren, J.C.

    1994-08-30T23:59:59.000Z

    The Sodium Storage Facility is planned to be constructed in the 400 area for long term storage of sodium from the Fast Flux Test Facility (FFTF). It will contain four large sodium storage tanks. Three of the tanks have a capacity of 80,000 gallons of sodium each, and the fourth will hold 52,500 gallons. The tanks will be connected by piping with each other and to the FFTF. Sodium from the FFTF primary and secondary Heat Transport Systems (HTS), Interim Decay Storage (IDS), and the Fuel Storage Facility (FSF) will be transferred to the facility, and stored there in a frozen state pending final disposition. A Hazard Classification has been performed in order to evaluate the potential toxic consequences of a sodium fire according to the provisions of DOE Order 5481.1B. The conclusion of these evaluations is that the Sodium Storage Facility meets the requirements of the lowest Hazard Category, i.e., radiological facility, and the Hazard Classification is recommended to be moderate.

  14. Hyperspectral landcover classification for the Yakima Training Center, Yakima, Washington

    SciTech Connect (OSTI)

    Steinmaus, K.L.; Perry, E.M.; Petrie, G.M.; Irwin, D.E.; Foote, H.P.; Wurstner, S.K.; Stephen, A.J.

    1998-04-01T23:59:59.000Z

    The US Department of Energy`s (DOE`s) Pacific Northwest National Laboratory (PNNL) was tasked in FY97-98 to conduct a multisensor feature extraction project for the Terrain Modeling Project Office (TMPO) of the National Imagery and Mapping Agency (NIMA). The goal of this research is the development of near-autonomous methods to remotely classify and characterize regions of military interest, in support of the TMPO of NIMA. These methods exploit remotely sensed datasets including hyperspectral (HYDICE) imagery, near-infrared and thermal infrared (Daedalus 3600), radar, and terrain datasets. The study site for this project is the US Army`s Yakima Training Center (YTC), a 326,741-acre training area located near Yakima, Washington. Two study areas at the YTC were selected to conduct and demonstrate multisensor feature extraction, the 2-km x 2-km Cantonment Area and the 3-km x 3-km Choke Point area. Classification of the Cantonment area afforded a comparison of classification results at different scales.

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

    E-Print Network [OSTI]

    Chen, Tsuhan

    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

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

    E-Print Network [OSTI]

    Tsakalides, Panagiotis

    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'´Energie of video classification based on a set of com- pressed features, without the need of accessing the original

  17. Hardware-Based Support Vector Machine Classification in Logarithmic Number Systems

    E-Print Network [OSTI]

    Pottenger, William M.

    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

  18. Energy-Efficient Multi-Pipeline Architecture for Terabit Packet Classification

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    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

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

    E-Print Network [OSTI]

    Rajpoot, Nasir

    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

  20. High-performance Architecture for Dynamically Updatable Packet Classification on FPGA

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    . 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

  1. Classification using Intersection Kernel Support Vector Machines is Efficient Subhransu Maji

    E-Print Network [OSTI]

    O'Brien, James F.

    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

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

    SciTech Connect (OSTI)

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

    1990-12-31T23:59:59.000Z

    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.

  3. G-Structures Local Equivalence and Classification of Co-frames

    E-Print Network [OSTI]

    Patrick, George

    Motivation G-Structures Local Equivalence and Classification of Co-frames Solution Summary and Further Results Local Equivalence and Classification of Finite Type G-Structures Ivan Struchiner1 1 and Infinite Dimensional Ivan Struchiner Equivalence of G-Structures #12;Motivation G-Structures Local

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

    E-Print Network [OSTI]

    López-Sánchez, Maite

    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

  5. Statistics & Gene Expression Data Analysis Note 8: Binary Regression Outcomes and classification probabilities

    E-Print Network [OSTI]

    West, Mike

    classification, validation, prognosis Binary regression models Linear regression model based on regression Standard statistical models transform from real-value to (0, 1) using a specified non-linear functionStatistics & Gene Expression Data Analysis Note 8: Binary Regression Outcomes and classification

  6. Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification , Shih-Fu Chang

    E-Print Network [OSTI]

    Chang, Shih-Fu

    Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification Yadong Mu , Gang Hua , Wei the efficiency of non-linear kernel SVM in very large scale visual classification prob- lems. Our key idea be transformed into solving a linear SVM over the hash bits. The proposed Hash-SVM enjoys dramatic storage cost

  7. PROGRESSIVE CLASSIFICATION IN THE COMPRESSED DOMAIN FOR LARGE EOS SATELLITE DATABASES 1

    E-Print Network [OSTI]

    Kontoyiannis, Ioannis

    PROGRESSIVE CLASSIFICATION IN THE COMPRESSED DOMAIN FOR LARGE EOS SATELLITE DATABASES 1 Vittorio for classifying large images that is more accurate and less computationally expensive than the classical pixel­by­pixel approach. This approach, called progressive classification, is well suited for analyzing large images

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

    E-Print Network [OSTI]

    Kansas, University of

    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

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

    E-Print Network [OSTI]

    Shaw, Leah B.

    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

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

    E-Print Network [OSTI]

    Lu, Bao-Liang

    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

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

    E-Print Network [OSTI]

    Obradovic, Zoran

    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

  12. STRUCTURAL DAMAGE CLASSIFICATION COMPARISON USING SUPPORT VECTOR MACHINE AND BAYESIAN MODEL SELECTION

    E-Print Network [OSTI]

    Boyer, Edmond

    STRUCTURAL DAMAGE CLASSIFICATION COMPARISON USING SUPPORT VECTOR MACHINE AND BAYESIAN MODEL, CA, USA 92093-0085 mdtodd@ucsd.edu ABSTRACT Since all damage identification strategies inevitably in the decision-making process of damage detection, classification, and prognosis, which employs training data (or

  13. Classification of Melanoma Lesions Using Wavelet-based Texture Analysis Rahil Garnavi, Mohammad Aldeen

    E-Print Network [OSTI]

    Bailey, James

    Classification of Melanoma Lesions Using Wavelet-based Texture Analysis Rahil Garnavi, Mohammad for classification of melanoma. The method applies tree-structured wavelet transform on different color chan- nels and hidden naive bayes to classify melanoma in a test set of 102 images, which resulted in an accuracy of 88

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

    E-Print Network [OSTI]

    Relue, Patricia

    Classification of melanoma using tree structured wavelet transforms Sachin V. Patwardhan a , Atam P developed and evaluated for the classification of skin lesion images into melanoma and dysplastic nevus in discriminating melanoma from dysplastic nevus. The results are also compared with those obtained using another

  15. A Source Classification Algorithm for Astronomical X-ray Imagery of Stellar Clusters

    E-Print Network [OSTI]

    Salvaggio, Carl

    A Source Classification Algorithm for Astronomical X-ray Imagery of Stellar Clusters by Susan M of Dissertation: A Source Classification Algorithm for Astronomical X-ray Imagery of Stellar Clusters I, Susan M. Hojnacki, hereby grant permission to Wallace Memorial Library of R.I.T. to reproduce my dissertation

  16. On the synergy between texture classification and deformation process sequence selection for

    E-Print Network [OSTI]

    Zabaras, Nicholas J.

    On the synergy between texture classification and deformation process sequence selection properties. This paper demonstrates the synergy between classification of FCC polycrystal tex- ture and multi are adaptively selected from the database is employed. Key words: Texture library, materials-by-design, data

  17. VEGETATION CLASSIFICATION USING SEASONAL VARIATIONS OF SCATTEROMETER DATA AT C-BAND AND

    E-Print Network [OSTI]

    Long, David G.

    VEGETATION CLASSIFICATION USING SEASONAL VARIATIONS OF SCATTEROMETER DATA AT C-BAND AND KU for submission to the university library. Date Dr. David Long Chair, Graduate Committee Accepted of Engineering and Technology #12;ABSTRACT VEGETATION CLASSIFICATION USING SEASONAL VARIATIONS OF SCATTEROMETER

  18. Computational analysis of microarray gene expression profiles: clustering, classification, and beyond

    E-Print Network [OSTI]

    Dai, Yang

    Computational analysis of microarray gene expression profiles: clustering, classification) the discovery of gene clusters, and (3) the classification of biological samples. In addition, we discuss how inch, and a library of thousands of genes is placed on a single chip. To probe the global gene

  19. Enhancing the detection and classification of coral reef and associated benthic habitats

    E-Print Network [OSTI]

    Rundquist, Donald C.

    Enhancing the detection and classification of coral reef and associated benthic habitats. Rundquist, M. Lawson, and R. Perk (2007), Enhancing the detection and classification of coral reef and Atkinson, 2000]. Holden and LeDrew [1999] have shown that a high-resolution in situ spectral library can

  20. Simultaneous Segmentation and Grading of Hippocampus for Patient Classification with Alzheimer's

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Simultaneous Segmentation and Grading of Hippocampus for Patient Classification with Alzheimer library used during our experiments was composed by 2 populations, 50 Cognitively Normal subjects (CN of the HC at the same time resulted in an efficient patient classification with a success rate of 90

  1. REMOTE SENSING TECHNIQUES FOR LAND USE CLASSIFICATION OF RIO JAUCA WATERSHED USING IKONOS IMAGES

    E-Print Network [OSTI]

    Gilbes, Fernando

    REMOTE SENSING TECHNIQUES FOR LAND USE CLASSIFICATION OF RIO JAUCA WATERSHED USING IKONOS IMAGES-Mayagez E-mail: edwinmm80@yahoo.com Key words: GIS, remote sensing, land use, supervised classification resource and supplies water to the metropolitan area. Remote sensing techniques can be used to assess

  2. kenmerk 369.075 1 RULES FOR CLASSIFICATION AND RANKING OF STAFF

    E-Print Network [OSTI]

    Twente, Universiteit

    , 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

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

    E-Print Network [OSTI]

    Meyer, Francois

    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

  4. Data-driven classification of ventilated lung tissues using electrical impedance tomography

    E-Print Network [OSTI]

    Adler, Andy

    Data-driven classification of ventilated lung tissues using electrical impedance tomography Camille for identifying ventilated lung regions utilizing electrical impedance tomography (EIT) images rely on dividing of a data-driven classification method to identify ventilated lung ROI based on forming k clusters from

  5. Fermilab | Fermilab at Work | Home

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMFormsGasReleaseSpeechesHall A This photophoto Fermilab at Work Main

  6. HEADQUARTERS MEDIATION PROGRAM MEDIATION WORKS!

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaefer To: CongestionDevelopmentHEADQUARTERS MEDIATION PROGRAM MEDIATION WORKS!

  7. Working with SRNL - Technology Partnerships

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengtheningWildfires may contribute more to &83 3.3AtWorking SRNL

  8. Working with SRNL - Technology Partnerships

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengtheningWildfires may contribute more to &83 3.3AtWorking SRNL13/2015

  9. Working with SRNL - Technology Transfer

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengtheningWildfires may contribute more to &83 3.3AtWorking

  10. Perma Works | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal PwerPerkins County, Nebraska: Energy Resources Jump to: navigation, search EquivalentPerma Works

  11. Radiation Safety Work Control Form

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)IntegratedSpeedingTechnicalPurchase, Delivery, andSmartRadiationRadiation Safety Work

  12. Chapter 20. Work Breakdown and Coordination

    E-Print Network [OSTI]

    Brookhaven National Laboratory - Experiment 821

    Chapter 20. Work Breakdown and Coordination Revised March 1994 The leadership responsibility to level 4 of the work breakdown is shown below. The work breakdown was done by the ten technical teams. We breakdown for commissioning with beam. -- 404 -- #12; Work Breakdown and Coordination 405 #12; 406 Work

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

    E-Print Network [OSTI]

    Yoo, Chang D.

    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

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

    E-Print Network [OSTI]

    Granada, Universidad de

    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

  15. A semi-empirical library of galaxy spectra for Gaia classification based on SDSS data and PEGASE models

    E-Print Network [OSTI]

    Tsalmantza, P; Kontizas, M; Bailer-Jones, C A L; Rocca-Volmerange, B; Livanou, E; Bellas-Velidis, I; Kontizas, E; Vallenari, A

    2011-01-01T23:59:59.000Z

    Aims:This paper is the third in a series implementing a classification system for Gaia observations of unresolved galaxies. The system makes use of template galaxy spectra in order to determine spectral classes and estimate intrinsic astrophysical parameters. In previous work we used synthetic galaxy spectra produced by PEGASE.2 code to simulate Gaia observations and to test the performance of Support Vector Machine (SVM) classifiers and parametrizers. Here we produce a semi-empirical library of galaxy spectra by fitting SDSS spectra with the previously produced synthetic libraries. We present (1) the semi-empirical library of galaxy spectra, (2) a comparison between the observed and synthetic spectra, and (3) first results of claassification and parametrization experiments with simulated Gaia spectrophotometry of this library. Methods: We use chi2-fitting to fit SDSS galaxy spectra with the synthetic library in order to construct a semi-empirical library of galaxy spectra in which (1) the real spectra are ex...

  16. Reduce Steam Trap Failures at Chambers Works

    E-Print Network [OSTI]

    Kouba, C.

    2010-01-01T23:59:59.000Z

    automatically within SAP ? Survey performed and work orders created ? Surveyor/Team Leader coordinates repair work ? Use backlog of work to justify number of mechanics ? Prioritize work for mechanics ? Repair Mechanics work across the site ? SAP Work Order... history updated for individual traps ? Surveyor updates excel spreadsheet with repair history ? Monthly reports sent to area and site management 10/20/2010 11Piloted Solution Key Learnings ? SAP Cumbersome and slows repair process ? Use SAP...

  17. Undergraduate Program Time Limits and Work Schedules

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

    appointments, post-master's appointments, and GRA students working on a thesis or dissertation are excluded from the 30-hour per week work restriction. Summer students All...

  18. Federal Utility Partnership Working Group Utility Partners

    Broader source: Energy.gov [DOE]

    Federal Utility Partnership Working Group (FUPWG) utility partners are eager to work closely with Federal agencies to help achieve energy management goals.

  19. Federal Utility Partnership Working Group Meeting Chairman's...

    Office of Environmental Management (EM)

    Meeting Chairman's Corner Federal Utility Partnership Working Group Meeting Chairman's Corner Presentation-given at the Fall 2012 Federal Utility Partnership Working Group (FUPWG)...

  20. Federal Utility Partnership Working Group Meeting: Washington...

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

    Federal Utility Partnership Working Group Meeting: Washington Update fupwgspring12unruh.pdf More Documents & Publications Federal Utility Partnership Working Group Meeting:...

  1. Federal Utility Partnership Working Group Participants | Department...

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

    Participants Federal Utility Partnership Working Group Participants The following Federal agencies have participated in the Federal Utility Partnership Working Group or engaged in...

  2. Federal Utility Partnership Working Group Seminar: Chairman's...

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

    Federal Utility Partnership Working Group Seminar: Chairman's Corner Federal Utility Partnership Working Group Seminar: Chairman's Corner Presentation covers the Federal Utility...

  3. Federal Utility Partnership Working Group Meeting: Washington...

    Energy Savers [EERE]

    Federal Utility Partnership Working Group Meeting: Washington Update Federal Utility Partnership Working Group Meeting: Washington Update Presentation-given at the Fall 2012...

  4. Covariance evaluation work at LANL

    SciTech Connect (OSTI)

    Kawano, Toshihiko [Los Alamos National Laboratory; Talou, Patrick [Los Alamos National Laboratory; Young, Phillip [Los Alamos National Laboratory; Hale, Gerald [Los Alamos National Laboratory; Chadwick, M B [Los Alamos National Laboratory; Little, R C [Los Alamos National Laboratory

    2008-01-01T23:59:59.000Z

    Los Alamos evaluates covariances for nuclear data library, mainly for actinides above the resonance regions and light elements in the enUre energy range. We also develop techniques to evaluate the covariance data, like Bayesian and least-squares fitting methods, which are important to explore the uncertainty information on different types of physical quantities such as elastic scattering angular distribution, or prompt neutron fission spectra. This paper summarizes our current activities of the covariance evaluation work at LANL, including the actinide and light element data mainly for the criticality safety study and transmutation technology. The Bayesian method based on the Kalman filter technique, which combines uncertainties in the theoretical model and experimental data, is discussed.

  5. FY 1996 annual work plan

    SciTech Connect (OSTI)

    NONE

    1995-09-30T23:59:59.000Z

    In April 1994, the Department of Energy (DOE) Strategic Plan was issued. This Plan presents the Department`s strategic outlook in response to a changing world. It discusses the Department`s unique capabilities; its mission, vision, and core values; and key customer and stakeholder considerations. The DOE Strategic Plan lists business strategies and critical success factors which are intended to aid the Department in accomplishing its mission and reaching its vision of itself in the future. The Office of Inspector General (OIG) has an important role in carrying out the goals and objectives of the Secretary`s Strategic Plan. The ultimate goal of the OIG is to facilitate positive change by assisting its customers, responsible Government officials, in taking actions to improve programs and operations. The Inspector General annually issues his own Strategic Plan that contains program guidance for the next fiscal year. As part of its responsibility in carrying out the OIG mission, the Office of the Deputy Inspector General for Audit Services (Office of Audit Services) publishes an Annual Work Plan that sets forth audits that are planned for the next fiscal year. Selection of these audits is based on the overall budget of the Department, analyses of trends in Departmental operations, guidance contained in the agency`s strategic plans, statutory requirements, and the expressed needs and audit suggestions of Departmental program managers and OIG managers and staff. This work plan includes audits that are carried over from FY 1995 and audits scheduled to start during FY 1996. Audits included in the plan will be performed by OIG staff.

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

    SciTech Connect (OSTI)

    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

    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.

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

    SciTech Connect (OSTI)

    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)

    2013-01-01T23:59:59.000Z

    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 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. This chapter provides a detailed description of the system as well as a discussion of key design aspects and critical feedback from domain experts.

  8. Cosmic web-type classification using decision theory

    E-Print Network [OSTI]

    Leclercq, Florent; Wandelt, Benjamin

    2015-01-01T23:59:59.000Z

    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.

  9. Complexity Classifications for Propositional Abduction in Post's Framework

    E-Print Network [OSTI]

    Creignou, Nadia; Thomas, Michael

    2010-01-01T23:59:59.000Z

    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...

  10. Classification of groundwater at the Nevada Test Site

    SciTech Connect (OSTI)

    Chapman, J.B.

    1994-08-01T23:59:59.000Z

    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.

  11. EFCOG Work Management Sub-Working Group Session on Overview and...

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

    EFCOG Work Management Sub-Working Group Session on Overview and Results from WP&C Assist Visits across Complex EFCOG Work Management Sub-Working Group Session on Overview and...

  12. Relationships among Perceived Working Hours, General Stress, Work Centrality, Job Control, Job Demands, and Work Condition Constraints

    E-Print Network [OSTI]

    Kim, Se Hoon

    2014-06-27T23:59:59.000Z

    Although working hours are generally regarded as a major indicator of stress, little exploration has been done about how working hours influence stress with the relevant individual and job characteristics. The purpose of this study was to examine...

  13. Automatic classification of documents with an in-depth analysis of information extraction and automatic summarization

    E-Print Network [OSTI]

    Hohm, Joseph Brandon, 1982-

    2004-01-01T23:59:59.000Z

    Today, annual information fabrication per capita exceeds two hundred and fifty megabytes. As the amount of data increases, classification and retrieval methods become more necessary to find relevant information. This thesis ...

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

    E-Print Network [OSTI]

    Zerbo, J. L.

    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 ...

  15. Approches Statistique et Linguistique Pour la Classification de Textes d'Opinion Portant sur les Films

    E-Print Network [OSTI]

    collection textuelle les textes porteurs d'opinion, ou encore localiser les passages porteurs d'opi- nion baiss...) ; la classification d'opinion, qui a pour but d'attribuer une tiquette au texte selon l'opi

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

    E-Print Network [OSTI]

    Oldenburg, Carl von Ossietzky Universitt

    methods to examine crude oils, heavy refined oils, and sludge oils: the channels relationships method (CRMClassification with Artificial Neural Networks and Support Vector Machines: application to oil, and Oil fluorescence ABSTRACT: This paper reports on oil classification with fluorescence spectroscopy

  17. Comparing and Combining Semantic Verb Classifications Oliver Culo, Katrin Erk, Sebastian Pado+,

    E-Print Network [OSTI]

    Pad, Sebastian

    Comparing and Combining Semantic Verb Classifications Oliver Culo, Katrin Erk, Sebastian Pad version of FrameNet (Erk et al., 2003); however, while Schulte im Walde classifies the manner of motion

  18. Some Extensions of the K-Means Algorithm for Image Segmentation and Pattern Classification

    E-Print Network [OSTI]

    Marroquin, Jose L.

    1993-01-01T23:59:59.000Z

    In this paper we present some extensions to the k-means algorithm for vector quantization that permit its efficient use in image segmentation and pattern classification tasks. It is shown that by introducing state ...

  19. CENTROID-BASED TEXTURE CLASSIFICATION USING THE SIRV REPRESENTATION Aurelien Schutz, Lionel Bombrun and Yannick Berthoumieu

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    ) and unsupervised k-means methods assume that (i) textured images are sorted in k sub- collections of samples, i, to quality check of manufactured pieces by comparison of internal structures. Among classification methods

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

    E-Print Network [OSTI]

    Liblit, Ben

    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

  1. A Field Demonstration of an Instrument Performing Automatic Classification of Geologic

    E-Print Network [OSTI]

    -sensitive classifications of geologic surfaces in mesoscale scenes. A series of tests at the Cima Volcanic Fields in the Mojave Desert, California demonstrate mesoscale surficial mapping at two distinct sites of geologic

  2. FUNDRAISING AND GIFT ACCEPTANCE University Policy No: ER4105 Classification: External Relations

    E-Print Network [OSTI]

    Victoria, University of

    1 FUNDRAISING AND GIFT ACCEPTANCE University Policy No: ER4105 Classification: External Relations.01 For Gifts-in-kind to the Library or to the University of Victoria Art Collection, authority may be delegated

  3. Data driven process monitoring based on neural networks and classification trees

    E-Print Network [OSTI]

    Zhou, Yifeng

    2005-11-01T23:59:59.000Z

    of this dissertation is to develop process monitoring schemes that can be applied to complex process systems. Neural networks have been a popular tool for modeling and pattern classification for monitoring of process systems. However, due to the prohibitive...

  4. Classification of subsurface objects using singular values derived from signal frames

    DOE Patents [OSTI]

    Chambers, David H; Paglieroni, David W

    2014-05-06T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Bandyopadhyay, Sanghamitra

    , 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

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

    E-Print Network [OSTI]

    Saldivar-Sali, Artessa Niccola D., 1980-

    2010-01-01T23:59:59.000Z

    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 ...

  7. Digital classification of composite format color-infrared aerial video imagery

    E-Print Network [OSTI]

    Palmer, Rebecca Anne

    1989-01-01T23:59:59.000Z

    million acres). However, the overall agreement on a township basis (down to 1000 acres) was only 634 (Bryant et al. , 1980). Landsat imagery can also be used in multitemporal analyses, usually resulting in a more accurate classification than...

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

    E-Print Network [OSTI]

    Permenter, James Austin

    1973-01-01T23:59:59.000Z

    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...

  9. Invariant Classification and Limits of Maximally Superintegrable Systems in 3D

    E-Print Network [OSTI]

    J. Capel; J. Kress; S. Post

    2015-01-28T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    2013-01-01T23:59:59.000Z

    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.

  11. Parametrization and Classification of 20 Billion LSST Objects: Lessons from SDSS

    SciTech Connect (OSTI)

    Ivezic, Z.; /Washington U., Seattle, Astron. Dept.; Axelrod, T.; /Large Binocular Telescope, Tucson; Becker, A.C.; /Washington U., Seattle, Astron. Dept.; Becla, J.; /SLAC; Borne, K.; /George Mason U.; Burke, David L.; /SLAC; Claver, C.F.; /NOAO, Tucson; Cook, K.H.; /LLNL, Livermore; Connolly, A.; /Washington U., Seattle, Astron. Dept.; Gilmore, D.K.; /SLAC; Jones, R.L.; /Washington U., Seattle, Astron. Dept.; Juric, M.; /Princeton, Inst. Advanced Study; Kahn, Steven M.; /SLAC; Lim, K-T.; /SLAC; Lupton, R.H.; /Princeton U.; Monet, D.G.; /Naval Observ., Flagstaff; Pinto, P.A.; /Arizona U.; Sesar, B.; /Washington U., Seattle, Astron. Dept.; Stubbs, Christopher W.; /Harvard U.; Tyson, J.Anthony; /UC, Davis

    2011-11-10T23:59:59.000Z

    The Large Synoptic Survey Telescope (LSST) will be a large, wide-field ground-based system designed to obtain, starting in 2015, multiple images of the sky that is visible from Cerro Pachon in Northern Chile. About 90% of the observing time will be devoted to a deep-wide-fast survey mode which will observe a 20,000 deg{sup 2} region about 1000 times during the anticipated 10 years of operations (distributed over six bands, ugrizy). Each 30-second long visit will deliver 5{sigma} depth for point sources of r {approx} 24.5 on average. The co-added map will be about 3 magnitudes deeper, and will include 10 billion galaxies and a similar number of stars. We discuss various measurements that will be automatically performed for these 20 billion sources, and how they can be used for classification and determination of source physical and other properties. We provide a few classification examples based on SDSS data, such as color classification of stars, color-spatial proximity search for wide-angle binary stars, orbital-color classification of asteroid families, and the recognition of main Galaxy components based on the distribution of stars in the position-metallicity-kinematics space. Guided by these examples, we anticipate that two grand classification challenges for LSST will be (1) rapid and robust classification of sources detected in difference images, and (2) simultaneous treatment of diverse astrometric and photometric time series measurements for an unprecedentedly large number of objects.

  12. Classification and storage of wastewater from floor finish removal operations

    SciTech Connect (OSTI)

    Hunt, C.E.

    1996-05-01T23:59:59.000Z

    This study evaluates the wastewater generated from hard surface floor finish removal operations at Lawrence Livermore Laboratory in order to determine if this wastewater is a hazardous waste, either by statistical evaluation, or other measurable regulatory guidelines established in California Regulations. This research also comparatively evaluates the 55 gallon drum and other portable tanks, all less than 1,000 gallons in size in order to determine which is most effective for the management of this waste stream at Lawrence Livermore Laboratory. The statistical methods in SW-846 were found to be scientifically questionable in their application to hazardous waste determination. In this statistical evaluation, the different data transformations discussed in the regulatory guidance document were applied along with the log transformation to the population of 18 samples from 55 gallon drums. Although this statistical evaluation proved awkward in its application, once the data is collected and organized on a spreadsheet this statistical analysis can be an effective tool which can aid the environmental manager in the hazardous waste classification process.

  13. System diagnostics using qualitative analysis and component functional classification

    DOE Patents [OSTI]

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

    1993-01-01T23:59:59.000Z

    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.

  14. System diagnostics using qualitative analysis and component functional classification

    DOE Patents [OSTI]

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

    1993-11-23T23:59:59.000Z

    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.

  15. Toward the classification of the realistic free fermionic models

    SciTech Connect (OSTI)

    Faraggi, A.E.

    1997-08-01T23:59:59.000Z

    The realistic free fermionic models have had remarkable success in providing plausible explanations for various properties of the Standard Model which include the natural appearance of three generations, the explanation of the heavy top quark mass and the qualitative structure of the fermion mass spectrum in general, the stability of the proton and more. These intriguing achievements makes evident the need to understand the general space of these models. While the number of possibilities is large, general patterns can be extracted. In this paper the author presents a detailed discussion on the construction of the realistic free fermionic models with the aim of providing some insight into the basic structures and building blocks that enter the construction. The role of free phases in the determination of the phenomenology of the models is discussed in detail. The author discusses the connection between the free phases and mirror symmetry in (2,2) models and the corresponding symmetries in the case of (2,0) models. The importance of the free phases in determining the effective low energy phenomenology is illustrated in several examples. The classification of the models in terms of boundary condition selection rules, real world-sheet fermion pairings, exotic matter states and the hidden sector is discussed.

  16. Multiverse Scenarios in Cosmology: Classification, Cause, Challenge, Controversy, and Criticism

    E-Print Network [OSTI]

    Ruediger Vaas

    2010-01-05T23:59:59.000Z

    Multiverse scenarios in cosmology assume that other universes exist "beyond" our own universe. They are an exciting challenge both for empirical and theoretical research as well as for philosophy of science. They could be necessary to understand why the big bang occurred, why (some of) the laws of nature and the values of certain physical constants are the way they are, and why there is an arrow of time. This essay clarifies competing notions of "universe" and "multiverse"; it proposes a classification of different multiverse types according to various aspects how the universes are or are not separated from each other; it reviews the main reasons for assuming the existence of other universes: empirical evidence, theoretical explanation, and philosophical arguments; and, finally, it argues that some attempts to criticize multiverse scenarios as "unscientific", insisting on a narrow understanding of falsification, is neither appropriate nor convincing from a philosophy of science point of view. -- Keywords: big bang, universe, multiverse, cosmic inflation, time, quantum gravity, string theory, laws of nature, physical constants, fine-tuning, anthropic principle, philosophy of science, metaphysics, falsificationism

  17. Separation and Classification of Lipids Using Differential Ion Mobility Spectrometry

    SciTech Connect (OSTI)

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

    2011-04-12T23:59:59.000Z

    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.

  18. Developmental defects in zebrafish for classification of EGF pathway inhibitors

    SciTech Connect (OSTI)

    Pruvot, Benoist; Cur, Yoann; Djiotsa, Joachim; Voncken, Audrey; Muller, Marc, E-mail: m.muller@ulg.ac.be

    2014-01-15T23:59:59.000Z

    One of the major challenges when testing drug candidates targeted at a specific pathway in whole animals is the discrimination between specific effects and unwanted, off-target effects. Here we used the zebrafish to define several developmental defects caused by impairment of Egf signaling, a major pathway of interest in tumor biology. We inactivated Egf signaling by genetically blocking Egf expression or using specific inhibitors of the Egf receptor function. We show that the combined occurrence of defects in cartilage formation, disturbance of blood flow in the trunk and a decrease of myelin basic protein expression represent good indicators for impairment of Egf signaling. Finally, we present a classification of known tyrosine kinase inhibitors according to their specificity for the Egf pathway. In conclusion, we show that developmental indicators can help to discriminate between specific effects on the target pathway from off-target effects in molecularly targeted drug screening experiments in whole animal systems. - Highlights: We analyze the functions of Egf signaling on zebrafish development. Genetic blocking of Egf expression causes cartilage, myelin and circulatory defects. Chemical inhibition of Egf receptor function causes similar defects. Developmental defects can reveal the specificity of Egf pathway inhibitors.

  19. Elmira Stove Works: Order (2011-CE-1407)

    Broader source: Energy.gov [DOE]

    DOE ordered Elmira Stove Works to pay a $6,000 civil penalty after finding Elmira Stove Works had failed to certify that certain models of refrigerator-freezers comply with the applicable energy conservation standard.

  20. From Higher Education To Work In West

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    From Higher Education To Work In West Virginia 2009 Summary Results For Work Participation Virginia Higher Education Policy Commission By George W. Hammond, Associate Director Adam Hoffer, Graduate Virginia Higher Education Policy Commission. Opinions expressed herein are the responsibility