National Library of Energy BETA

Sample records for work classification wage

  1. Exploring the Effects of Right-to-Work Laws on Private Wages

    E-Print Network [OSTI]

    Roberts, Anthony J; Habans, Robert A

    2015-01-01

    2010. "Earnings Inequality and Subnational Political EconomyOur Models of Ascriptive Inequality." American SociologicalLabor and Racial Wage Inequality in the United States."

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

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

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

  3. Efficient Packet Classification with Digest This work supported by the National Science Foundation under Grant EIA-0130344 and the generous

    E-Print Network [OSTI]

    Efficient Packet Classification with Digest Caches This work supported by the National Science a digest cache-based algorithm for efficient packet classification in network devices. The digest cache

  4. Introduction/Motivation Background/Notation Classification Results/Future Work/References Classifying Pairs of Fuchsian Groups

    E-Print Network [OSTI]

    Broughton, S. Allen

    Introduction/Motivation Background/Notation Classification Results/Future Work Regional Meeting at University of Tucson April 2007 #12;Introduction/Motivation Background/Notation Classification Results/Future Work/References Outline 1 Introduction/Motivation Motivation 1 - extension

  5. 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...

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

  7. FEDERAL MINIMUM WAGE $7.25BEGINNING JULY 24, 2009

    E-Print Network [OSTI]

    Rock, Chris

    -866-487-9243) TTY: 1-877-889-5627 WWW.WAGEHOUR.DOL.GOV EMPLOYEE RIGHTS UNDER THE FAIR LAbOR STANDARDS AcT THE UNITED STATES DEPARTMENT OF LABOR WAGE AND HOUR DIVISION WHDU.S. Wage and Hour Division U.S. Department of Labor CREDIT ENFORCEMENT ADDITIONAL INFORMATION At least 1½ times your regular rate of pay for all hours worked

  8. Position Management and Classification

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

    2015-04-01

    The order establishes departmental requirements and responsibilities for classifying positions using the general schedule (GS) and federal wage system (FWS) standards and to develop and administer a sound position management and classification program. Supersedes DOE O 325.2, dated 4-1-15.

  9. Position Management and Classification

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

    2015-04-01

    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. Canceled by DOE O 325.2 Chg 1 (Admin Chg), 9-1-15.

  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 Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based| Department8, 20153Daniel Boff About UsWorkDavid G. FrantzDavid(ARRA)

  11. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopmentat LENA|UpcomingVisit UsNewsNationalQualityCurrent

  12. 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

    2007-01-01

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

  13. Policy Flash 2015-04 - Class Deviation: Min Wage | Department...

    Office of Environmental Management (EM)

    4 - Class Deviation: Min Wage Policy Flash 2015-04 - Class Deviation: Min Wage DATE: October 21, 2014 TO: Procurement Directors FROM: Director, Contract and Financial Assistance...

  14. Do Frictions Matter in the Labor Market? Accessions, Separations, and Minimum Wage Effects

    E-Print Network [OSTI]

    Dube, Arindrajit; Lester, T. William; Reich, Michael

    2011-01-01

    churn­ ing. B y altering the wage distribution, the minimum wage policy can affect equilibrium separation rates.

  15. Financial Policy Manual 2406 SALARY AND WAGE PAYMENTS

    E-Print Network [OSTI]

    George, Edward I.

    Financial Policy Manual Page 1 2406 SALARY AND WAGE PAYMENTS Effective: December 1986 Revised: May the circumstances under which the Comptroller will make salary and wage payments and to identify the methods for ensuring that salary or wage payments made to an employee are in accordance with existing human resource

  16. Welfare Effects of Minimum Wage and Other Government Policies

    E-Print Network [OSTI]

    Perloff, Jeffrey M.

    measures. #12;Do government programs such as minimum wage laws, Aid to the Families with De- pendent effects of the minimum wage. Most of the enormous 1 Dalton (1920) suggested that all common welfare government policies and market conditions when evaluating the effects of the minimum wage laws. As Freeman

  17. Security classification of information

    SciTech Connect (OSTI)

    Quist, A.S.

    1993-04-01

    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.

  18. Updating the Classification of Geothermal Resources- Presentation

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  19. Updating the Classification of Geothermal Resources

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  20. Final Report on MAPPR Project: The Detroit Living Wage Ordinance: Will it Reduce Urban Poverty?

    E-Print Network [OSTI]

    Riley, Shawn J.

    Final Report on MAPPR Project: The Detroit Living Wage Ordinance: Will it Reduce Urban Poverty? David Neumark May 30, 2001 #12;Detroit's Living Wage Ordinance The Detroit Living Wage Ordinance passed in the fall of 1998. As in other major urban areas passing living wage ordinances in the 1990s, Detroit

  1. Outsourcing and wage inequality in the home country 

    E-Print Network [OSTI]

    Hsu, Kuang-Chung

    2009-05-15

    This dissertation consists of three essays, which mainly talk about the wage inequality caused by outsourcing in the source countries like the US. The title of the first essay is “Does Outsourcing Always Benefit Skilled ...

  2. Position Management and Classification

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

    2014-10-30

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

  3. Hourly Wage and Fringe Benefit Rates FY16 WAGE SUPPLEMENT Issued 10-01-15

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (JournalvivoHigh energyHighlandWorkshop-Summer 2014to PLAs Hourly Wage and

  4. Creating and Visualizing Fuzzy Document Classification

    E-Print Network [OSTI]

    Fink, Eugene

    Creating and Visualizing Fuzzy Document Classification Judith Gelernter Dong Cao Raymond Lu Eugene@cs.cmu.edu Abstract--Fuzzy classification ranks items by degree rather than assigning them either within or without of a category. The novelty of our work is in integrating fuzzy classification algorithms with an interface

  5. Acclimatizing Taxonomic Semantics for Hierarchical Content Classification

    E-Print Network [OSTI]

    Liu, Huan

    Acclimatizing Taxonomic Semantics for Hierarchical Content Classification Lei Tang Dept. of Comp in con- tent classification. However, we observe through empirical study that the performance semantics-based hierarchy does not work well in con- tent classification, and how it could be improved

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

    E-Print Network [OSTI]

    Perloff, Jeffrey M.

    is consistent with efficiency-wage theory and inconsistent with several alternative explanations. According are consistent with the data from a randomized national survey of agricultural workers. If the efficiency-wage

  7. ON THE CLASSIFICATION OF NUCLEAR C -ALGEBRAS

    E-Print Network [OSTI]

    2002-05-28

    ON THE CLASSIFICATION OF NUCLEAR C?-ALGEBRAS. MARIUS DADARLAT and S?REN EILERS. 1. Introduction. Two of the most influential works on ...

  8. CISC controls and the union/non-union wage ratio

    E-Print Network [OSTI]

    Shulenburger, David E.; McLean, Robert; Rasch, Sara B.

    1984-06-01

    . The estimating equation specified, then, is of the following form: (1) lnWij= c o ClUij + c2U2ij + c 3 (%AU)ij + c4V j + c5R j + c6Mij + c7Bij + c8C +. . . + cnC + eij; where lnW - - natural og of union + non-union craft wages U - - percent unionized V... in 1972 and 1973 (after substituting the 1972 and 1973 values of the independent variables). Thus, we can simulate the effect of controls on the wage ratio. Table 2 reports the results of that simulation. As shown by the first row of the table...

  9. Framing Change: Social Movement Framing in University Living Wage Movements 

    E-Print Network [OSTI]

    Metcalf, Laurie D.

    2010-01-14

    of these living wage movements, two cases, Texas A&M University and Georgetown University, were selected for this study to examine through the lens of the social movement framing perspective. Data for the cases included interviews with activists and administrators...

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

    E-Print Network [OSTI]

    Brown, William

    Minimum Wage, 1997-2007 William Brown Abstract The British National Minimum Wage was introduced in 1999 under the guidance of a Low Pay Commission constructed on a basis of ‘social partnership’. The paper analyses its conduct over its first... in The British Journal of Industrial Relations during 2009 All enquiries to William Brown, (william.brown@econ.cam.ac.uk), Faculty of Economics, Cambridge University 2 The Process of Fixing the British National Minimum Wage, 1997...

  11. The Within-Job Motherhood Wage Penalty in Norway, 1979–1996

    E-Print Network [OSTI]

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

    2010-01-01

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

  12. A Thermodynamic Classification of Real Numbers

    E-Print Network [OSTI]

    Thomas Garrity

    2009-03-15

    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.

  13. Labor Standards/Wage and Hour Laws | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested Parties - WAPA PublicLED ADOPTION REPORT LED8-14DepartmentLabor Standards/Wage

  14. 21/01/2015 07:14The Hives of Others: Bees Wage War across Species -Scientific American Page 1 of 4http://www.scientificamerican.com/article/the-hives-of-others-bees-wage-war-across-species/

    E-Print Network [OSTI]

    West, Stuart

    21/01/2015 07:14The Hives of Others: Bees Wage War across Species - Scientific American Page 1 of 4http://www.scientificamerican.com/article/the-hives-of-others-bees-wage-war-across-species/ O I L S E L American Volume 312, Issue 2 » Advances The Hives of Others: Bees Wage War across Species Australian

  15. ENCUMBRANCES Salaries and wages are now being encumbered on the General Ledger System.

    E-Print Network [OSTI]

    Harms, Kyle E.

    SALARY ENCUMBRANCES #12;Salaries and wages are now being encumbered on the General Ledger System of three ways as follows: The first way to view an encumbered salary or wage is to use the V ESL way to view encumbered salaries is by using the V OSL transaction, which will display the following

  16. 2010 -2011 Quarterly Wage Comparison for FAU graduates Table of Contents

    E-Print Network [OSTI]

    Fernandez, Eduardo

    2010 - 2011 Quarterly Wage Comparison for FAU graduates #12;Table of Contents Executive Summary post-graduation outcome data, including the average quarterly earnings for State University System (SUS SUS institution were included in the major table. The average quarterly wage earned by FAU graduates

  17. Automatic classification of eclipsing binaries light curves using neural networks

    E-Print Network [OSTI]

    L. M. Sarro; C. Sánchez-Fernández; A. Giménez

    2005-11-11

    In this work we present a system for the automatic classification of the light curves of eclipsing binaries. This system is based on a classification scheme that aims to separate eclipsing binary sistems according to their geometrical configuration in a modified version of the traditional classification scheme. The classification is performed by a Bayesian ensemble of neural networks trained with {\\em Hipparcos} data of seven different categories including eccentric binary systems and two types of pulsating light curve morphologies.

  18. HIV classification using coalescent theory

    SciTech Connect (OSTI)

    Zhang, Ming; Letiner, Thomas K; Korber, Bette T

    2008-01-01

    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.

  19. 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.

  20. Wage earnings of Chinese in the United States: individual and contextual determinants 

    E-Print Network [OSTI]

    Qin, Bibin

    2006-04-12

    The objective of this dissertation is to identify both individual and contextual characteristics that may affect the wage earnings of Chinese in the U.S. labor market. The major individual characteristics include education, labor experience...

  1. Revised Davis-Bacon Wage Determinations for the Weatherization Assistance Program

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE) Weatherization Assistance Program Notice 10-07 deals with wage determinations for states and U.S. territories that were issued by the U.S. Department of Labor for a new category of wage earners for weatherization that grantees will use to comply with the Davis-Bacon Act requirements under the 2009 Recovery Act

  2. WORKING TITLES GUIDELINES HUMAN RESOURCES

    E-Print Network [OSTI]

    Su, Xiao

    titles for staff indicate an employee's functional responsibility, particularly when the classification are commonly used on business cards and in directories and in other correspondence with constituents the classification title. B. Working titles may be used to better communicate an employee's area of responsibility

  3. Exploring the Effects of Right-to-Work Laws on Private Wages

    E-Print Network [OSTI]

    Roberts, Anthony J; Habans, Robert A

    2015-01-01

    utilize propensity-score matching (PSM) to observe the wageto estimates from the PSM approach, private workers in RTWof a propensity score matching (PSM) procedure designed to

  4. 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...

  5. Agents of change or cogs in the machine? Reexamining the influence of female managers on the gender wage gap

    E-Print Network [OSTI]

    Srivastava, SB; Sherman, EL

    2015-01-01

    of Organizations and Inequality. ” Social PsychologyGender Segregation and Wage Inequality Among Managers, 1980-Conservation of Gender Inequality: Considering Employment. ”

  6. Featureless Classification of Light Curves

    E-Print Network [OSTI]

    Kügler, Sven Dennis; Polsterer, Kai Lars

    2015-01-01

    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. Standard Subject Classification System

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

    1979-08-14

    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.

  8. Engineering rock mass classifications

    SciTech Connect (OSTI)

    Bieniawski, Z.T.

    1989-01-01

    This book is a reference on rock mass classification, consolidating into one handy source information widely scattered through the literature. Includes new, unpublished material and case histories. Presents the fundamental concepts of classification schemes and critically appraises their practical application in industrial projects such as tunneling and mining.

  9. University Policy No.: RH8205 Classification: Research

    E-Print Network [OSTI]

    Victoria, University of

    which requires, as a condition of deducting expenses, that the type of research carried out under the #12;research project be a type of research that is different from the type of research work ordinarilyUniversity Policy No.: RH8205 Classification: Research RESEARCH GRANTS IN LIEU OF Approving

  10. 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

  11. SPECTRAL-SPATIAL CLASSIFICATION OF HYPERSPECTRAL IMAGES USING HIERARCHICAL OPTIMIZATION

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    classified. In this work, we propose to use a Hierarchical Step-Wise Optimization (HSWO) method for including spatial depen- dencies into a classification procedure. HSWO is a segmen- tation approach, which

  12. Quantum Support Vector Machine for Big Data Classification

    E-Print Network [OSTI]

    Mohseni, Masoud

    Supervised machine learning is the classification of new data based on already classified training examples. In this work, we show that the support vector machine, an optimized binary classifier, can be implemented on a ...

  13. 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

  14. 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.

    2006-01-01

    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

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

    E-Print Network [OSTI]

    Rodriguez d’Acri, Costanza; Johnston, Alison; Kornelakis, Andreas

    2009-01-01

    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...

  16. International Migration, Self-Selection, and the Distribution of Wages: Evidence from Mexico and the United States

    E-Print Network [OSTI]

    Chiquiar, Daniel; Hanson, Gordon H.

    2002-01-01

    Rural Economy in Migration from Western Mexico: 1965-1994. ”in the states of Mexico where migration to the United StatesU.S. migration may raise wage dispersion in Mexico. Combined

  17. AUTOMATIC MIXED PIXEL CLASSIFICATION (AMPC): UNSUPERVISED MIXED PIXEL CLASSIFICATION

    E-Print Network [OSTI]

    Chang, Chein-I

    13 AUTOMATIC MIXED PIXEL CLASSIFICATION (AMPC): UNSUPERVISED MIXED PIXEL CLASSIFICATION The automatic mixed pixel classification (AMPC) considered in this chapter is fully computer automated and can be implemented to automatically detect and classify targets with no human intervention. Like the automatic

  18. Information-Theoretic Measures for Objective Evaluation of Classifications

    E-Print Network [OSTI]

    Hu, Bao-Gang; Yuan, XiaoTong

    2011-01-01

    This work presents a systematic study of objective evaluations of abstaining classifications using Information-Theoretic Measures (ITMs). First, we define objective measures for which they do not depend on any free parameter. This definition provides technical simplicity for examining "objectivity" or "subjectivity" directly to classification evaluations. Second, we propose twenty four normalized ITMs, derived from either mutual information, divergence, or cross-entropy, for investigation. Contrary to conventional performance measures that apply empirical formulas based on users' intuitions or preferences, the ITMs are theoretically more sound for realizing objective evaluations of classifications. We apply them to distinguish "error types" and "reject types" in binary classifications without the need for input data of cost terms. Third, to better understand and select the ITMs, we suggest three desirable features for classification assessment measures, which appear more crucial and appealing from the viewpoi...

  19. Lecture outline Classification

    E-Print Network [OSTI]

    Terzi, Evimaria

    ;Naïve Bayes Classifier: Example · X' = (HomeOwner = No, MaritalStatus = Married, Income=120K) · Need on training data · Test phase: ­ For test record X', compute the class Y' that maximizes the posterior probability Pr(Y'|X') Wednesday, October 30, 13 #12;Bayes Classification: Example X'=(Home Owner=No, Marital

  20. Lecture outline Classification

    E-Print Network [OSTI]

    Terzi, Evimaria

    Classification: Example X'=(Home Owner=No, Marital Status=Married, AnnualIncome=120K) Compute: Pr(Yes|X'), Pr discretize? #12;Naïve Bayes Classifier: Example · X' = (HomeOwner = No, MaritalStatus = Married, Income=120K: ­ For test record X', compute the class Y' that maximizes the posterior probability Pr(Y'|X') #12;Bayes

  1. Classification of Information Manual

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

    1985-05-08

    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.

  2. Materials Classification & Accelerated Property Predictions using...

    Office of Scientific and Technical Information (OSTI)

    Materials Classification & Accelerated Property Predictions using Machine Learning Citation Details In-Document Search Title: Materials Classification & Accelerated Property...

  3. Office of Classification | Department of Energy

    Office of Environmental Management (EM)

    Classification Officers, HQ Classification Representatives, Secret Original Classifiers, Top Secret Derivative Classifiers, HQ Derivative Classifiers and HQ UCNI Reviewing...

  4. 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.

  5. FACULTY WAGE/STUDENT PERSONNEL HIRE FORM Preparer Name

    E-Print Network [OSTI]

    Acton, Scott

    Effective Date First Name Last Name Suffix Employee Number Gender Hire Date (Start Date) Social Security_type (Directory Address) Address_line2 Town_or_city Zip Code Country Date From Date To Phones Type (LOV Family Role Code Position Organization Work Title Appointment Type Position Number Grade Employee Type

  6. Working Paper #7 Louisiana Forest Products Laboratory

    E-Print Network [OSTI]

    Wu, Qinglin

    -rich communities. Further, secondary forest products wages often exceed average wages of other jobs in rural areas companies (12). In addition, export oriented timber related #12;3 companies may offer rural communities

  7. Classification of Information

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

    1978-12-12

    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

  8. 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 Fuels DataEnergy Webinar:I DueBETOoffor use with DOEClassification Classification

  9. Seismic event classification system

    DOE Patents [OSTI]

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

    1994-01-01

    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.

  10. Seismic event classification system

    DOE Patents [OSTI]

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

    1994-12-13

    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.

  11. Lagrangian Methods Of Cosmic Web Classification

    E-Print Network [OSTI]

    Fisher, J D; Johnson, M S T

    2015-01-01

    The cosmic web defines the large scale distribution of matter we see in the Universe today. Classifying the cosmic web into voids, sheets, filaments and nodes allows one to explore structure formation and the role environmental factors have on halo and galaxy properties. While existing studies of cosmic web classification concentrate on grid based methods, this work explores a Lagrangian approach where the V-web algorithm proposed by Hoffman et al. (2012) is implemented with techniques borrowed from smoothed particle hydrodynamics. The Lagrangian approach allows one to classify individual objects (e.g. particles or halos) based on properties of their nearest neighbours in an adaptive manner. It can be applied directly to a halo sample which dramatically reduces computational cost and potentially allows an application of this classification scheme to observed galaxy samples. Finally, the Lagrangian nature admits a straight forward inclusion of the Hubble flow negating the necessity of a visually defined thresh...

  12. 15.03.05 2015 CPTC Wage Schedule Final.xlsx

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-InspiredAtmosphericdevicesPPO RetireesLecturersO β+-DecayBeFCPTC Hourly Wage

  13. Hierarchical Classification Web Content Susan Dumais

    E-Print Network [OSTI]

    Chen, Hao

    organizations. Since th century, librarians classification systems Dewey and Library Congress subject headings classification methods to supplement human effort in creating structured knowledge hierarchies. A wide rangeHierarchical Classification Web Content Susan Dumais Microsoft Research One Microsoft Way Redmond

  14. Short Papers___________________________________________________________________________________________________ Automatic Classification of

    E-Print Network [OSTI]

    Lyons, Michael J.

    ___________________________________________________________________________________________________ Automatic Classification of Single Facial Images Michael J. Lyons, Julien Budynek, and Shigeru Akamatsu image sets are presented for the classification of sex, ªrace,º and expression. A visual interpretation single digital images. The examples chosen to demonstrate our method are facial expression, sex

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

    E-Print Network [OSTI]

    2013-05-02

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

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

    E-Print Network [OSTI]

    Atallah, Louis

    in Dubai/ University of Edinburgh, PO Box 502216, Dubai, UAE, latallah@inf.ed.ac.uk Keywords:Texture, Classification, Scale, MRF Abstract This work sheds the light on an important problem that faces real-world of real-world data classification is given with a summary and future directions. 1 Introduction The use

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

    E-Print Network [OSTI]

    Lau, Andrew J.

    2008-01-01

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

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

    E-Print Network [OSTI]

    Barth, Erling; Zweimuller, Josef

    1992-01-01

    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

  19. The many uses of classification: Enriched thesauri

    E-Print Network [OSTI]

    Soergel, Dagobert

    The many uses of classification: Enriched thesauri as knowledge sources Dagobert Soergel College of Information Studies University of Maryland ds52@umail.umd.edu #12;Classification everywhere concept maps Ontologies, Taxonomies Classification under any other name is still classification #12;Is SIG/CR everywhere

  20. Hierarchical classification of modulation signals 

    E-Print Network [OSTI]

    Kim, Nam Jin

    2002-01-01

    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. 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.

    1991-05-01

    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.

  2. 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.

    1991-05-01

    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.

  3. Detection, classification and localization of seabed objects with a virtual time reversal mirror

    E-Print Network [OSTI]

    Dumortier, Alexis Jean Louis

    2009-01-01

    The work presented in this thesis addresses the problem of the detection, classification and localization of seabed objects in shallow water environments using a time reversal approach in a bistatic configuration. The ...

  4. 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

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

    E-Print Network [OSTI]

    Thomas Garrity

    2012-05-25

    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.

  6. Sandia National Laboratories: Working with Sandia: Procurement...

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

    Prop & Direct Change Attachments (MS Word) Posters Equal Employment Opportunity Davis-Bacon Wage Poster State DBA Poster Requirements (MS Excel) Safety The construction community...

  7. Quantum computing for pattern classification

    E-Print Network [OSTI]

    Maria Schuld; Ilya Sinayskiy; Francesco Petruccione

    2014-12-11

    It is well known that for certain tasks, quantum computing outperforms classical computing. A growing number of contributions try to use this advantage in order to improve or extend classical machine learning algorithms by methods of quantum information theory. This paper gives a brief introduction into quantum machine learning using the example of pattern classification. We introduce a quantum pattern classification algorithm that draws on Trugenberger's proposal for measuring the Hamming distance on a quantum computer (CA Trugenberger, Phys Rev Let 87, 2001) and discuss its advantages using handwritten digit recognition as from the MNIST database.

  8. 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

  9. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricNCubictheThepresented in the7 Table7Work &Work Plan

  10. FEATURE SELECTION AND CLASSIFICATION OF

    E-Print Network [OSTI]

    Kuncheva, Ludmila I.

    in the veterinary domain is important with regard to agriculture, the health sector and the economy, various feature selection techniques were applied and compared in this study in order to select a reducedFEATURE SELECTION AND CLASSIFICATION OF NON-TRADITIONAL DATA. EXAMPLES FROM VETERINARY MEDICINE Zo

  11. Collected Works

    E-Print Network [OSTI]

    Turner, Lance

    2011-04-26

    The collection of work presented here illustrates the constant struggle individuals face in understanding the repercussions of their past, the weight of their decisions in the present moment, and the possibilities of the ...

  12. Flying Insect Classification with Inexpensive Yanping Chen

    E-Print Network [OSTI]

    Zordan, Victor

    Flying Insect Classification with Inexpensive Sensors Yanping Chen Department of Computer Science and extrinsic to the insect's flight behavior, and that a Bayesian classification approach allows us to efficiently learn classification models that are very robust to overfitting. We demonstrate our findings

  13. Sequential Pattern Classification Without Explicit Feature Extraction

    E-Print Network [OSTI]

    Krovi, Venkat

    classification framework of SVM. We present experiments with off­line digit images where the pixels are simplySequential Pattern Classification Without Explicit Feature Extraction by Hansheng Lei October 21st. A suitable similarity measure can also be used to increase the classification efficiency of traditional

  14. Style Consistent Classification of Isogenous Patterns

    E-Print Network [OSTI]

    Nagy, George

    a basis for more accurate classification of a group (field) of digitized characters from the same sourceStyle Consistent Classification of Isogenous Patterns Prateek Sarkar, Member, IEEE Computer Society they share the same, albeit unknown, style. Style constrained classifiers achieve higher classification

  15. Automatic Detection and Classification of Sunspot Images

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    Automatic Detection and Classification of Sunspot Images Thomas C. M. Lee tlee with Alex Young and the SaFeDe Solar Imaging Group JSM 2007 ­ p. 1/2 #12;Outline Title: Automatic Detection and Classification of Sunspot Images JSM 2007 ­ p. 2/2 #12;Outline Title: Automatic Detection and Classification

  16. thesis work

    E-Print Network [OSTI]

    Toback, David

    thesis work Aggie student given award for thesis on particle physics&M. Wagner accepted the Universities Research Association (URA) Thesis Award June 4 for his doctoral,500 award, is given each year to the most outstanding doctoral thesis written on research conducted

  17. Topological classification of RNA structures

    E-Print Network [OSTI]

    Michael Bon; Graziano Vernizzi; Henri Orland; A. Zee

    2006-07-21

    We present a novel topological classification of RNA secondary structures with pseudoknots. It is based on the topological genus of the circular diagram associated to the RNA base-pair structure. The genus is a positive integer number, whose value quantifies the topological complexity of the folded RNA structure. In such a representation, planar diagrams correspond to pure RNA secondary structures and have zero genus, whereas non planar diagrams correspond to pseudoknotted structures and have higher genus. We analyze real RNA structures from the databases wwPDB and Pseudobase, and classify them according to their topological genus. We compare the results of our statistical survey with existing theoretical and numerical models. We also discuss possible applications of this classification and show how it can be used for identifying new RNA structural motifs.

  18. Working Draft

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-Sessions |discussed how saving energy5 Worker Righs, Issue 2 Working Capital

  19. Spinors and the Weyl Tensor Classification in Six Dimensions

    E-Print Network [OSTI]

    Carlos Batista; Bruno Carneiro da Cunha

    2013-06-05

    A spinorial approach to 6-dimensional differential geometry is constructed and used to analyze tensor fields of low rank, with special attention to the Weyl tensor. We perform a study similar to the 4-dimensional case, making full use of the SO(6) symmetry to uncover results not easily seen in the tensorial approach. Using spinors, we propose a classification of the Weyl tensor by reinterpreting it as a map from 3-vectors to 3-vectors. This classification is shown to be intimately related to the integrability of maximally isotropic subspaces, establishing a natural framework to generalize the Goldberg-Sachs theorem. We work in complexified spaces, showing that the results for any signature can be obtained by taking the desired real slice.

  20. 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

  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.

    2012-11-06

    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.: AD2210 Classification: Administration

    E-Print Network [OSTI]

    Victoria, University of

    University Policy No.: AD2210 Classification: Administration FIELDWORK AND INTERNATIONAL: includes all University of Victoria administrators, faculty, staff, and students while such individuals

  3. University Policy No.: AD2215 Classification: Administration

    E-Print Network [OSTI]

    Victoria, University of

    University Policy No.: AD2215 Classification: Administration Approving Authority: Board Review: 1. This statement applies to the policies and administration of trademarks registered

  4. OROZCO et al.: HEAD POSE CLASSIFICATION IN CROWDED SCENES 1 Head Pose Classification in Crowded Scenes

    E-Print Network [OSTI]

    Gong, Shaogang

    attempts have been made on head pose estimation in low-resolution images by treating the problem as a multi for head pose classification given low resolution images. In their approach, 360 head pose in c 2009OROZCO et al.: HEAD POSE CLASSIFICATION IN CROWDED SCENES 1 Head Pose Classification in Crowded

  5. Classification of remotely sensed imagery using stochastic gradient boosting as a refinement of classification tree analysis

    E-Print Network [OSTI]

    Lawrence, Rick L.

    trees) are increasingly being used for analysis and classification of remotely sensed digital imageryClassification of remotely sensed imagery using stochastic gradient boosting as a refinement of classification tree analysis Rick Lawrencea,*, Andrew Bunna , Scott Powellb , Michael Zambona a Department

  6. Multiclass Support Vector Classification via Regression Multiclass Support Vector Classification via Regression

    E-Print Network [OSTI]

    Huang, Su-Yun

    Multiclass Support Vector Classification via Regression Multiclass Support Vector Classification via Regression Pei-Chun Chen peichun@stat.sinica.edu.tw Institute of Statistical Science Academia classification is considered and resolved through the mul- tiresponse linear regression approach. Scores are used

  7. Seoul, South Korea -classification deteriorating slope stability -Robert Hack 1 SLOPE STABILITY CLASSIFICATION

    E-Print Network [OSTI]

    Hack, Robert

    Seoul, South Korea - classification deteriorating slope stability - Robert Hack 1 SLOPE STABILITY CLASSIFICATION OF TIME DEPENDENT DETERIORATING SLOPES Seoul, Korea, 29 February 2008 Robert Hack Engineering) The Netherlands #12;Seoul, South Korea - classification deteriorating slope stability - Robert Hack 2 Jan van

  8. Rule-based classification using classification tree analysis (CTA) is increasingly applied to remotely sensed data. CTA

    E-Print Network [OSTI]

    Lawrence, Rick L.

    for classification of remotely sensed data. Introduction The classification of digital imagery to extract useful theAbstract Rule-based classification using classification tree analysis (CTA) is increasingly applied. Results are then used for image classification. Software implementations of CTA offer differ- ent

  9. 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 faucets and drains, replacing ceiling tiles, door knobs, and floor tiles and installing shelving. Perform work on heating, ventilation, automatic temperature control and various equipment and machinery

  10. Expression Microarray Classification using Topic Models Manuele Bicego

    E-Print Network [OSTI]

    Bicego, Manuele

    Expression Microarray Classification using Topic Models Manuele Bicego , Pietro Lovato, Barbara - Verona, Italy ABSTRACT Classification of samples in expression microarray experi- ments represents the expression microarray classification task is cast into this probabilistic context, providing a parallelism

  11. Automatic Musical Genre Classification Of Audio Signals

    E-Print Network [OSTI]

    Tzanetakis, George

    genre classification for digitally available music has been performed manually. Therefore techniquesAutomatic Musical Genre Classification Of Audio Signals George Tzanetakis Computer Science to structure the increasing amounts of music available in digital form on the Web and are important for music

  12. 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

  13. On learning hierarchical classifications Russell Greiner

    E-Print Network [OSTI]

    Schuurmans, Dale

    On learning hierarchical classifications Russell Greiner Siemens Corporate Research 755 College in Cognitive Science University of Pennsylvania Philadelphia, PA 19104­6228 daes@linc.cis.upenn.edu Abstract Many significant real­world classification tasks involve a large number of categories which

  14. Hierarchical Classification of Web Content Susan Dumais

    E-Print Network [OSTI]

    Fan, Jianping

    classification methods to supplement human effort in creating structured knowledge hierarchies. A wide rangeHierarchical Classification of Web Content Susan Dumais Microsoft Research One Microsoft Way Redmond, WA 99802 USA sdumais@microsoft.com Hao Chen Computer Science Division University of California

  15. On learning hierarchical classifications Russell Greiner

    E-Print Network [OSTI]

    Greiner, Russell

    On learning hierarchical classifications Russell Greiner Siemens Corporate Research 755 College in Cognitive Science University of Pennsylvania Philadelphia, PA 19104-6228 daes@linc.cis.upenn.edu Abstract Many significant real-world classification tasks involve a large number of categories which

  16. Mismatch String Kernels for SVM Protein Classification

    E-Print Network [OSTI]

    Noble, William Stafford

    machines (SVMs) in a discriminative approach to the protein classification problem. These kernels measure efficiently using a mismatch tree data structure and report experiments on a benchmark SCOP dataset, where we savings. 1 Introduction A fundamental problem in computational biology is the classification of proteins

  17. AUTOMATIC MIXED PIXEL CLASSIFICATIO (AMPC): ANOMALY CLASSIFICATION

    E-Print Network [OSTI]

    Chang, Chein-I

    14 AUTOMATIC MIXED PIXEL CLASSIFICATIO (AMPC): ANOMALY CLASSIFICATION In Chapter 13, one type of AMPC, automatic target detection and classification (ATDC) is investigated, which does not require any, an automatic thresholding method and four target discrimination measures are introduced in this chapter

  18. Oil Classification with Fluorescence Spectroscopy Engineering Physics

    E-Print Network [OSTI]

    Oldenburg, Carl von Ossietzky Universität

    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

  19. Integrated Pedestrian Classification and Orientation Estimation

    E-Print Network [OSTI]

    Gavrila, Dariu M.

    Integrated Pedestrian Classification and Orientation Estimation Markus Enzweiler1 Dariu M. Gavrila2, The Netherlands Abstract This paper presents a novel approach to single-frame pedestrian classification) in a Bayesian fashion. This mixture-of-experts formulation approximates the probability density of pedestrian

  20. Visual Exploration of Uncertainty in Remotesensing Classification

    E-Print Network [OSTI]

    Utrecht, Universiteit

    Visual Exploration of Uncertainty in Remote­sensing Classification Frans J.M. van der Wel Utrecht analysis of remotely­sensed data aims at acquiring insight as to the stability of possible classifications for an overwhelming flow of data on the appearance and condition of our planet. The data yielded by remote sensing can

  1. Marine and Estuarine Ecosystem and Habitat Classification

    E-Print Network [OSTI]

    Marine and Estuarine Ecosystem and Habitat Classification Rebecca J. Allee Megan Dethier Dail Brown Administration National Marine Fisheries Service NOAA Technical Memorandum NMFS-F/SPO-43 July 2000 #12;A copy-WestHighway Silver Spring, MD 20910 #12;Marine and Estuarine Ecosystem and Habitat Classification Rebecca J. Allee

  2. top of the logistical problems implied by waging war in such a landlocked, mountainous country, this decision was due to the continuously poor performance of the Royal Lao

    E-Print Network [OSTI]

    Solovey, Mark

    top of the logistical problems implied by waging war in such a landlocked, mountainous country Cravens (eds.), Cold War Social Science: Knowledge Production, Liberal Democracy, and Human Nature (New York: Palgrave Macmillan, 2012), xv þ270 pp. About 20 years ago an orthodoxy about `Cold War social

  3. Various forms of indexing HDMR for modelling multivariate classification problems

    SciTech Connect (OSTI)

    Aksu, Ça?r?; Tunga, M. Alper

    2014-12-10

    The Indexing HDMR method was recently developed for modelling multivariate interpolation problems. The method uses the Plain HDMR philosophy in partitioning the given multivariate data set into less variate data sets and then constructing an analytical structure through these partitioned data sets to represent the given multidimensional problem. Indexing HDMR makes HDMR be applicable to classification problems having real world data. Mostly, we do not know all possible class values in the domain of the given problem, that is, we have a non-orthogonal data structure. However, Plain HDMR needs an orthogonal data structure in the given problem to be modelled. In this sense, the main idea of this work is to offer various forms of Indexing HDMR to successfully model these real life classification problems. To test these different forms, several well-known multivariate classification problems given in UCI Machine Learning Repository were used and it was observed that the accuracy results lie between 80% and 95% which are very satisfactory.

  4. Quantum support vector machine for big data classification

    E-Print Network [OSTI]

    Patrick Rebentrost; Masoud Mohseni; Seth Lloyd

    2014-07-10

    Supervised machine learning is the classification of new data based on already classified training examples. In this work, we show that the support vector machine, an optimized binary classifier, can be implemented on a quantum computer, with complexity logarithmic in the size of the vectors and the number of training examples. In cases when classical sampling algorithms require polynomial time, an exponential speed-up is obtained. At the core of this quantum big data algorithm is a non-sparse matrix exponentiation technique for efficiently performing a matrix inversion of the training data inner-product (kernel) matrix.

  5. Automated Detection and Classification of Positive vs. Negative Robot Interactions With Children With Autism

    E-Print Network [OSTI]

    Mataric, Maja J.

    Automated Detection and Classification of Positive vs. Negative Robot Interactions With Children modeling Permission to make digital or hard copies of all or part of this work for personal or classroom endeavors is to develop robot systems that can aid in the di- agnosis and treatment of ASD, providing

  6. Classification of urban & industrial soils in the World Reference Base for Soil Resources

    E-Print Network [OSTI]

    Classification of urban & industrial soils in the World Reference Base for Soil Resources: Working, Industrial, Traffic and Mining Areas (SUITMA) of the International Union of Soil Science (IUSS), 09­11 July . . . . . . . . . . . . . . . . . . . . . . . . . . 3 3 Urban and industrial soils in the current WRB 4 3.1 Natural Soils

  7. 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

  8. Modifying Kernels Using Label Information Improves SVM Classification Performance

    E-Print Network [OSTI]

    Toronto, University of

    , we solve protein remote homology detec- tion problem and handwritten digit classification problem digit classification and two mismatch-string kernels as base ker- nels [6] for protein classification. We present our experi- mental results for digit classification and protein homology detection

  9. 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

  10. A Comparison of Evolvable Hardware Architectures for Classification Tasks

    E-Print Network [OSTI]

    Glette, Kyrre

    accuracy. For the electromyographic (EMG) signal classification, [5] showed that EHW approaches can perform

  11. Audio Classification using Extended Baum-Welch Transformations

    E-Print Network [OSTI]

    of sources, including speech, music, coughing, laughter, etc. Classification has become an important tool

  12. Real-time Classification for The Palomar Transient Factory

    E-Print Network [OSTI]

    Real-time Classification for The Palomar Transient Factory Joseph Richards UC Berkeley Department;Transient Classification Project (TCP) J. Richards Classification for PTF 2 #12;Outline 1 Palomar Transient for PTF? J. Richards Classification for PTF 3 #12;Palomar Transient Factory (PTF) Fully-automated survey

  13. Representation, Organization, Classification, and Meaning-Making

    E-Print Network [OSTI]

    Toronto, University of

    1 Representation, Organization, Classification, and Meaning-Making Description Fundamental epistemological and ontological issues in the use of knowledge and information in human activities. Analysis, department store, grocery store, children's library, a menu, a store catalogue) and analyze that organization

  14. IDENTIFYING ROOF FALL PREDICTORS USING FUZZY CLASSIFICATION

    SciTech Connect (OSTI)

    Bertoncini, C. A.; Hinders, M. K.

    2010-02-22

    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.

  15. Multivariate Approaches to Classification in Extragalactic Astronomy

    E-Print Network [OSTI]

    Fraix-Burnet, Didier; Chattopadhyay, Asis Kumar

    2015-01-01

    Clustering objects into synthetic groups is a natural activity of any science. Astrophysics is not an exception and is now facing a deluge of data. For galaxies, the one-century old Hubble classification and the Hubble tuning fork are still largely in use, together with numerous mono-or bivariate classifications most often made by eye. However, a classification must be driven by the data, and sophisticated multivariate statistical tools are used more and more often. In this paper we review these different approaches in order to situate them in the general context of unsupervised and supervised learning. We insist on the astrophysical outcomes of these studies to show that multivariate analyses provide an obvious path toward a renewal of our classification of galaxies and are invaluable tools to investigate the physics and evolution of galaxies.

  16. A material segmentation and classification system

    E-Print Network [OSTI]

    Wong, Jennifer L

    2013-01-01

    In this thesis, I developed a material segmentation and classification system that takes in images of an object and identifies the material composition of the object's surface. The 3D surface is first segmented into regions ...

  17. Photon level chemical classification using digital compressive ...

    E-Print Network [OSTI]

    David S. Wilcox

    2012-11-09

    Oct 12, 2012 ... programmable binary optical filters designed to minimize the error in the chemical classification (or con- ...... troscopy, thus highlighting the power of compressive detection. ... Since the mirror switching time of our DMD.

  18. Vapor Retarder Classification - Building America Top Innovation...

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

    vapor retarder classification. Air-tight and well-insulated homes have little or no tolerance for drying if they get wet; moisture control is critical. This Top Innovation profile...

  19. On the Consistency of Multiclass Classification Methods

    E-Print Network [OSTI]

    Tewari, Ambuj

    On the Consistency of Multiclass Classification Methods Ambuj Tewari1 and Peter L. Bartlett2 1 Springer-Verlag Berlin Heidelberg 2005 #12;144 A. Tewari and P.L. Bartlett guarantee that if the -risk of f

  20. Linear feature selection for multipopulation classification 

    E-Print Network [OSTI]

    Havens, Kathryn Anne

    1974-01-01

    ) December 1974 ABSTRACT Linear Feature Selection for Multipopulation Classification. (December 1974) Kathryn A. Havens, B. S. , Lamar University Chairman of Advisory Committee: Dr. L. F. Guseman, Jr. A classification procedure for n...-dimensional normally distributed observation vectors which belong to one of three populations is de- scribed. In particular, a computational procedure is presented for finding a lxn vector B which minimizes the probability of misclassification with respect...

  1. 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

  2. A complete electrical hazard classification system and its application

    SciTech Connect (OSTI)

    Gordon, Lloyd B; Cartelli, Laura

    2009-01-01

    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.

  3. A Dynamical Classification of the Cosmic Web

    E-Print Network [OSTI]

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

    2008-09-24

    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.

  4. 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 Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based| Department8, 20153Daniel Boff About UsWorkDavid G.

  5. The Classification of M1-78

    E-Print Network [OSTI]

    G. T. Gussie

    1994-09-15

    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.

  6. Classification rule with simple select SQL statement

    E-Print Network [OSTI]

    H, Spits Warnars H L

    2010-01-01

    A simple sql statement can be used to search learning or rule in relational database for data mining purposes particularly for classification rule. With just only one simple sql statement, characteristic and classification rule can be created simultaneously. Collaboration sql statement with any other application software will increase the ability for creating t-weight as measurement the typicality of each record in the characteristic rule and d-weight as measurement the discriminating behavior of the learned classification/discriminant rule, specifically for further generalization in characteristic rule. Handling concept hierarchy into tables based on concept tree will influence for the successful simple sql statement and by knowing the right standard knowledge to transform each of concept tree in concept hierarchy into one table as to transform concept hierarchy into table, the simple sql statement can be run properly.

  7. Classification and reconstruction of three-dimensional microstructures using

    E-Print Network [OSTI]

    Zabaras, Nicholas J.

    Classification and reconstruction of three-dimensional microstructures using support vector of reconstructed microstructures with available experimental re- sults. Combination of classification methodology-dimensional microstructures experimentally characterized by combining digitized serial sections or through methods like X

  8. Perceptually Based Techniques for Semantic Image Classification and Retrieval

    E-Print Network [OSTI]

    Pappas, Thrasyvoulos N.

    Perceptually Based Techniques for Semantic Image Classification and Retrieval Dejan Depalov, Schaumburg, IL, 60196 ABSTRACT The accumulation of large collections of digital images has created the need semantically, according to meaningful categories. We present a new approach for semantic classification

  9. Cell-Graph Mining for Breast Tissue Modelling and Classification

    E-Print Network [OSTI]

    Bystroff, Chris

    metrics for tissue characteriza- tion and classification. We segmented the digital images of histopaCell-Graph Mining for Breast Tissue Modelling and Classification C.C¸ agatay Bilgin a, C¸ igdem

  10. 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

  11. Seismic Facies Classification And Identification By Competitive Neural Networks

    E-Print Network [OSTI]

    Saggaf, Muhammad M.

    2000-01-01

    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 ...

  12. 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

  13. Abductive Network Committees for Improved Classification of Medical Data

    E-Print Network [OSTI]

    Abdel-Aal, Radwan E.

    Abductive Network Committees for Improved Classification of Medical Data R. E. Abdel-Aal Center standard medical datasets. Methods: Two standard 2-class medical datasets (Pima Indians Diabetes and Heart mining and machine learning techniques for classification, association detection, sequential

  14. 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

  15. Learning of Optimal Illumination for Material Classification

    E-Print Network [OSTI]

    Hamprecht, Fred A.

    Learning of Optimal Illumination for Material Classification Markus Jehle, Christoph Sommer, Bernd.Jehle, Christoph.Sommer, Bernd.Jaehne}@iwr.uni-heidelberg.de Abstract. We present a method to classify materials classifier different materials, which vary in appearance (which itself depends on the patterns of incoming

  16. North Carolina State Residence Classification Manual

    E-Print Network [OSTI]

    McLaughlin, Richard M.

    North Carolina State Residence Classification Manual A Manual to Assist the Public Higher Education Institutions of North Carolina in the Matter of State Residence Fall 2011 #12;North Carolina State Residence. Ross pursuant to The University of North Carolina Policy Manual Sec. 900.1 for use by con- stituent

  17. 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 to dynamically apply automation to information pro- cessing functions in aviation systems. This research examined manual control or 1 of 4 different forms of automation. Traffic volume was either low (3 aircraft

  18. CLASSIFICATION OF DIVISION -GRADED ALTERNATIVE ALGEBRAS

    E-Print Network [OSTI]

    Yoshii, Yoji

    CLASSIFICATION OF DIVISION Zn -GRADED ALTERNATIVE ALGEBRAS Yoji Yoshii Department of Mathematical division Zn-graded alternative algebras, is classified in this paper. Using the result, we can complete -graded alternative algebras. It turns out that they are strongly prime, and so one can apply Slater

  19. Investigating a Breach of Research Integrity Classification

    E-Print Network [OSTI]

    Calgary, University of

    hi Investigating a Breach of Research Integrity Classification Research Table of Contents Purpose 1 of this procedure is to outline the process by which an allegation of a breach of Research integrity, as defined, post- doctoral fellows, and any other person who conducts research under the auspices or jurisdiction

  20. Multivariate Autoregressive Models for Classification of Spontaneous

    E-Print Network [OSTI]

    Anderson, Charles W.

    Multivariate Autoregressive Models for Classification of Spontaneous Electroencephalogram During University Fort Collins, CO 80523 Abstract This article explores the use of scalar and multivariate, eigenvalues of a correlation matrix, and the Karhunen­Loâ??eve trans­ form of the multivariate AR coefficients

  1. Multivariate Statistical Tests for Comparing Classification Algorithms

    E-Print Network [OSTI]

    Alpaydýn, Ethem

    Multivariate Statistical Tests for Comparing Classification Algorithms Olcay Taner Yildiz1 , ¨Ozlem these in a single number, we propose to collect multivariate statistics and use multivariate tests on them rate (tpr) and false positive rate (fpr) and a multivariate test can also use such two values instead

  2. Light-water reactor accident classification

    SciTech Connect (OSTI)

    Washburn, B.W.

    1980-02-01

    The evolution of existing classifications and definitions of light-water reactor accidents is considered. Licensing practice and licensing trends are examined with respect to terms of art such as Class 8 and Class 9 accidents. Interim definitions, consistent with current licensing practice and the regulations, are proposed for these terms of art.

  3. Bayesian fluorescence in situ hybridisation signal classification

    E-Print Network [OSTI]

    Lerner, Boaz

    hybridisation (FISH) signals for the detection of genetic abnormalities. Based on well-discriminating features hybridisation (FISH); Gaussian mixture model; Naive Bayesian classifier; Signal classification Artificial.artmed.2003.11.005 #12;1. Introduction Fluorescence in situ hybridisation (FISH) allows selective staining

  4. Entanglement classification with matrix product states

    E-Print Network [OSTI]

    M. Sanz; I. L. Egusquiza; R. Di Candia; H. Saberi; L. Lamata; E. Solano

    2015-04-28

    Entanglement is widely considered the cornerstone of quantum information and an essential resource for relevant quantum effects, such as quantum teleportation, quantum cryptography, or the speed-up of quantum computing, as in Shor's algorithm. However, up to now, there is no general characterization of entanglement for many-body systems. In this sense, it is encouraging that quantum states connected by stochastic local operations assisted with classical communication (SLOCC), which perform probabilistically the same quantum tasks, can be collected into entanglement classes. Nevertheless, there is an infinite number of classes for four or more parties that may be gathered, in turn, into a finite number of entanglement families. Unfortunately, we have not been able to relate all classes and families to specific properties or quantum information tasks, although a few of them have certainly raised experimental interest. Here, we present a novel entanglement classification for quantum states according to their matrix-product-state structure, exemplified for the symmetric subspace. The proposed classification relates entanglement families to the interaction length of Hamiltonians, establishing the first connection between entanglement classification and condensed matter. Additionally, we found a natural nesting property in which the families for $N$ parties carry over to the $N+1$ case. We anticipate our proposal to be a starting point for the exploration of the connection between entanglement classification properties and condensed-matter models.

  5. SUPPORT VECTOR MACHINE CLASSIFICATION 18th July, 2006

    E-Print Network [OSTI]

    Wand, Matt

    of research is computer- aided mail sorting. Figure 1 shows 3 sets of handwritten digits. Suppose that someSUPPORT VECTOR MACHINE CLASSIFICATION M.P. Wand1 18th July, 2006 Support vector machines emerged in the mid-1990s as a flexible and powerful means of classification. Classification is a very old problem

  6. Matrix Completion for Multi-label Image Classification

    E-Print Network [OSTI]

    Instituto de Sistemas e Robotica

    Matrix Completion for Multi-label Image Classification Ricardo S. Cabral, Fernando De la Torre and browse digital images via semantic keywords. This paper for- mulates image categorization as a multi-label classification problem using recent advances in matrix completion. Under this setting, classification of testing

  7. A multiscale texture analysis procedure for improved forest stand classification

    E-Print Network [OSTI]

    Coburn, Craig

    classes from digital remotely sensed data based on their spectral properties alone. These classificationA multiscale texture analysis procedure for improved forest stand classification C. A. COBURN of image texture in image classification has increased. Current approaches to image texture analysis rely

  8. 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}@ics.forth.gr Abstract--In this paper, we address the problem of video classification from a set of compressed features

  9. Generic Image Classification Using Visual Knowledge on the Web

    E-Print Network [OSTI]

    Yanai, Keiji

    mining, image gathering, image classification 1. INTRODUCTION Permission to make digital or hard copiesGeneric Image Classification Using Visual Knowledge on the Web Keiji Yanai Department of Computer@cs.uec.ac.jp ABSTRACT In this paper, we describe a generic image classification sys- tem with an automatic knowledge

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

    E-Print Network [OSTI]

    Oldenburg, Douglas W.

    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-UXOs dug per UXO). The discrimination and classification methodology depends on the magnitude of the recov

  11. Experiments in Multimodality Image Classification and Data Fusion

    E-Print Network [OSTI]

    Farag, Aly A.

    Experiments in Multimodality Image Classification and Data Fusion Aly A. Farag, Refaat M. Mohamed report the results of some experiments on image classification and data fusion of remote sensing images different algorithms for image classification, and an image fusion algorithm have been implemented

  12. Introduction/Motivation Fuchsian Groups -Background Classification Program Results/References Classification of Pairs of Fuchsian Groups

    E-Print Network [OSTI]

    Broughton, S. Allen

    Introduction/Motivation Fuchsian Groups - Background Classification Program Results Seminar - March 2, 2009 #12;Introduction/Motivation Fuchsian Groups - Background Classification Program Results/References Outline 1 Introduction/Motivation Motivation 1 - extension of actions Motivation 2

  13. 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)

    2012-02-01

    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.

  14. W.A. SERDIJN: "A CLASSIFICATION OF ELECTRONIC SIGNAL-PROCESSING FUNCTIONS" 1 A classification of electronic signal-processing

    E-Print Network [OSTI]

    Serdijn, Wouter A.

    W.A. SERDIJN: "A CLASSIFICATION OF ELECTRONIC SIGNAL-PROCESSING FUNCTIONS" 1 A classification classification of electronic signal-processing functions is proposed. Electronic signals can either be 1 sources, wave- shaping circuits, digital logic functions, digital memories, power supplies, and converters

  15. Nonderivative modified gravity: a classification

    SciTech Connect (OSTI)

    Comelli, D.; Nesti, F.; Pilo, L. E-mail: fabrizio.nesti@irb.hr

    2014-11-01

    We analyze the theories of gravity modified by a generic nonderivative potential built from the metric, under the minimal requirement of unbroken spatial rotations. Using the canonical analysis, we classify the potentials V according to the number of degrees of freedom (DoF) that propagate at the nonperturbative level. We then compare the nonperturbative results with the perturbative DoF propagating around Minkowski and FRW backgrounds. A generic V implies 6 propagating DoF at the non-perturbative level, with a ghost on Minkowski background. There exist potentials which propagate 5 DoF, as already studied in previous works. Here, no V with unbroken rotational invariance admitting 4 DoF is found. Theories with 3 DoF turn out to be strongly coupled on Minkowski background. Finally, potentials with only the 2 DoF of a massive graviton exist. Their effect on cosmology is simply equivalent to a cosmological constant. Potentials with 2 or 5 DoF and explicit time dependence appear to be a further viable possibility.

  16. Classification of Distributed Data Using Topic Modeling and Maximum Variation Sampling

    SciTech Connect (OSTI)

    Patton, Robert M; Beaver, Justin M; Potok, Thomas E

    2011-01-01

    From a management perspective, understanding the information that exists on a network and how it is distributed provides a critical advantage. This work explores the use of topic modeling as an approach to automatically determine the classes of information that exist on an organization's network, and then use the resultant topics as centroid vectors for the classification of individual documents in order to understand the distribution of information topics across the enterprise network. The approach is tested using the 20 Newsgroups dataset.

  17. CLASSIFICATION OF GRAPH C -ALGEBRAS AND LEAVITT

    E-Print Network [OSTI]

    Tomforde, Mark

    with the position of the unit. They accomplished this classification by describing moves on matrices that preserve that if A and B are irreducible square {0, 1} matrices, with coker(I-A) = coker(I- A) and det(I -A) = det(I -B), then XA is flow equivalent to XB. Since K0(OA) = coker(I - At ) = coker(I - A) and det(I - At ) = det

  18. Complexity Classification of Local Hamiltonian Problems

    E-Print Network [OSTI]

    Cubitt, Toby; Montanaro, Ashley

    2015-06-02

    constraint satisfaction problems. Index Terms—Hamiltonian complexity; QMA-completeness. I. INTRODUCTION Constraint satisfaction problems (CSPs) are ubiquitous in computer science and have been intensively studied since the early days of complexity theory. A... Complexity classification of local Hamiltonian problems Toby Cubitt Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK. tsc25@cam.ac.uk Ashley Montanaro Department of Computer Science, University...

  19. Economic Impacts of the Labor Intensive Works Program in Yemen

    E-Print Network [OSTI]

    Christian, Sikandra

    2015-01-01

    Ozler, B. 2008. “Local inequality and project choice: Theory28 Appendix II: Proof of Inequality 1.19 Increase in secondby measuring the change in inequality of wage income in the

  20. How to Find More Supernovae with Less Work: Object ClassificationTechn...

    Office of Scientific and Technical Information (OSTI)

    for maintaining a reasonable false positive rate in the automatedtransient alert pipelines of upcoming projects such as PanSTARRS andLSST. Authors: Bailey, Stephen ; Aragon,...

  1. How to Find More Supernovae with Less Work: Object ClassificationTechniques

    Office of Scientific and Technical Information (OSTI)

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing(Journal Article)lasers (JournalArchitectures.Thesis/Dissertation:Warminghigh tc|for

  2. How to Find More Supernovae with Less Work: Object ClassificationTechniques

    Office of Scientific and Technical Information (OSTI)

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing(Journal Article)lasers (JournalArchitectures.Thesis/Dissertation:Warminghigh tc|forfor

  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. Construction work process management 

    E-Print Network [OSTI]

    Soares, Jorge Barbosa

    1994-01-01

    for organizationand project-level work processes. Data to support the analysis were collected through a mailed questionnaire sent to construction executives and managers who were asked to provide information on organizational and project work processes, respectively....

  5. Team work: Construction

    E-Print Network [OSTI]

    Berdichevsky, Victor

    teamwork outside the classroom as well. Construction Management at Wayne StateTeam work: Construction Management The Division of Engineering Technology! Your coursework is just the beginning. Construction management students work

  6. Cross-ontological analytics for alignment of different classification schemes

    DOE Patents [OSTI]

    Posse, Christian (Seattle, WA); Sanfilippo, Antonio P (Richland, WA); Gopalan, Banu (Cleveland, OH); Riensche, Roderick M (Richland, WA); Baddeley, Robert L (Richland, WA)

    2010-09-28

    Quantification of the similarity between nodes in multiple electronic classification schemes is provided by automatically identifying relationships and similarities between nodes within and across the electronic classification schemes. Quantifying the similarity between a first node in a first electronic classification scheme and a second node in a second electronic classification scheme involves finding a third node in the first electronic classification scheme, wherein a first product value of an inter-scheme similarity value between the second and third nodes and an intra-scheme similarity value between the first and third nodes is a maximum. A fourth node in the second electronic classification scheme can be found, wherein a second product value of an inter-scheme similarity value between the first and fourth nodes and an intra-scheme similarity value between the second and fourth nodes is a maximum. The maximum between the first and second product values represents a measure of similarity between the first and second nodes.

  7. Administering Work Force Discipline

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

    2015-05-14

    The order provides requirements and responsibilities for administering work force discipline and corrective actions. Supersedes DOE O 3750.1.

  8. Appointment Future work

    E-Print Network [OSTI]

    Phillips, David

    1/17 Appointment scheduling Example: a glaucoma clinic Future work Appointment scheduling #12;2/17 Appointment scheduling Example: a glaucoma clinic Future work Have you heard this one? So: a glaucoma clinic Future work Have you heard this one? So a mathematician walks into a room full

  9. Methodological Research Future Work

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    Outline Background Methodological Research Results Future Work New Dataset 1878 PCA for 1000 rmfs Background Methodological Research Results Future Work New Dataset 1878 PCA for 1000 rmfs Background Quasar Analysis Future Work Doubly-intractable Distribution Other Calibration Uncertainty New Dataset

  10. Combining Supervised and Unsupervised Learning for GIS Classification

    E-Print Network [OSTI]

    Torres-Moreno, Juan-Manuel; Alexandre, Frdéric

    2009-01-01

    This paper presents a new hybrid learning algorithm for unsupervised classification tasks. We combined Fuzzy c-means learning algorithm and a supervised version of Minimerror to develop a hybrid incremental strategy allowing unsupervised classifications. We applied this new approach to a real-world database in order to know if the information contained in unlabeled features of a Geographic Information System (GIS), allows to well classify it. Finally, we compared our results to a classical supervised classification obtained by a multilayer perceptron.

  11. School quality and wages 

    E-Print Network [OSTI]

    Speakman, Robert B., Jr.

    2007-04-25

    This dissertation examines the literature that attempts to measure the relationship between school quality and earnings. I begin by developing a simple economic model that predicts that, everything else being equal and with comparisons being made...

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

    E-Print Network [OSTI]

    Victoria, University of

    University Policy No.: AC1110 Classification: Academic and Students EDUCATIONAL SERVICE services and includes: · Development of educational materials in any form, including digital · Management

  13. 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

  14. 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

  15. Alternating local search based VNS for linear classification

    E-Print Network [OSTI]

    2007-06-29

    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].

  16. 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

  17. Minimal dynamics and the classification of C*-algebras

    E-Print Network [OSTI]

    2009-09-26

    Oct 6, 2009 ... noncommutative partitions of unity. It generalizes the usual .... Toms AS (2008) On the classification problem for nuclear C?-algebras. Ann Math.

  18. 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...

  19. Classification of multifluid CP world models

    E-Print Network [OSTI]

    Jens Thomas; Hartmut Schulz

    2000-12-20

    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.

  20. Classification of Fermi Gamma-RAY Bursts

    E-Print Network [OSTI]

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

    2015-01-01

    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.

  1. Classification Training Institute Catalog | 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-in electric vehicle (PEV) charging stationConstructionPolicyClassification

  2. 12/11/2014 13:21Bees Wage Surprisingly Violent Wars--And Females Do the Fighting Page 1 of 11http://news.nationalgeographic.com/news/2014/11/141110-bees-warfare-hives-australia-insects-animals-science/

    E-Print Network [OSTI]

    West, Stuart

    12/11/2014 13:21Bees Wage Surprisingly Violent Wars--And Females Do the Fighting Page 1 of 11http Surprisingly Violent Wars-- And Females Do the Fighting Scientists are puzzled as to why bees fight when the Fighting Page 2 of 11http://news.nationalgeographic.com/news/2014/11/141110-bees

  3. TO BE USED BY NON-RESIDENT ALIENS ONLY Special Instructions for Form W-4 for Nonresident Aliens. A nonresident alien subject to wage withholding must give the employer a

    E-Print Network [OSTI]

    Zallen, Richard

    TO BE USED BY NON-RESIDENT ALIENS ONLY Special Instructions for Form W-4 for Nonresident Aliens. A nonresident alien subject to wage withholding must give the employer a completed Form W-4 to enable the employer to calculate how much income tax to withhold. In completing the form, nonresident aliens should

  4. Classification of KdV vessels with constant parameters and two dimensional outer space

    E-Print Network [OSTI]

    Andrey Melnikov

    2014-07-06

    In this article we classify vessels producing solutions of some completely integrable PDEs, presenting a \\textit{unified} approach for them. The classification includes such important examples as Korteweg-de Vries (KdV) and evolutionary Non Linear Schr\\" odingier (ENLS) equations. In fact, employing basic matrix algebra techniques it is shown that there are exactly two canonical forms of such vessels, so that each canonical form generalize either KdV or ENLS equations. Particularly, Dirac canonical systems, whose evolution was recently inserted into the vessel theory, are shown to be equivalent to the ENLS equation in the sense of vessels. This work is important as a first step to classification of completely integrable PDEs, which are solvable by the theory of vessels. We note that a recent paper of the author, published in Journal of Mathematical Physics, showed that initial value problem with analytic initial potential for the KdV equation has at least a "narrowing" in time solution. The presented classification, inherits this idea and a similar theorem can be easily proved for the presented PDEs. Finally, the the resuts of the work serve as a basis for the investigation of the following problems: 1. hierarchy of the generalized KdV, ENLS equations (by generalizing the vessel equations), 2. new completely integrable PDEs (by changing the dimension of the outer space), 3. addressing the question of integrability of a given arbitrary PDE (the future classification will create a list of solvable by vessels equations, which may eventually include many existing classes of PDEs).

  5. INL @ work: Archaeologist

    ScienceCinema (OSTI)

    Lowrey, Dino

    2013-05-28

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

  6. Work Area Policy

    E-Print Network [OSTI]

    2005-04-19

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

  7. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricNCubictheThepresented in the7 Table7WorkWork withWork

  8. 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

  9. 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

  10. header for SPIE use Evolving forest fire burn severity classification algorithms

    E-Print Network [OSTI]

    Fernandez, Thomas

    header for SPIE use Evolving forest fire burn severity classification algorithms for multi, to the classification of forest fire burn severity using Landsat 7 ETM+ multispectral imagery. The details. Keywords: Multispectral imagery, Genetic programming, Supervised classification, Forest fire, Wildfire. 1

  11. Colour Invariant Head Pose Classification in Low Resolution Video

    E-Print Network [OSTI]

    Oxford, University of

    Colour Invariant Head Pose Classification in Low Resolution Video Ben Benfold and Ian Reid,ian}@robots.ox.ac.uk Abstract This paper presents an algorithm for the classification of head pose in low res- olution video, a pose estimation from a low resolution head image can be used to determine whether or not a close

  12. 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

  13. Discovering Discriminative Cell Attributes for HEp-2 Specimen Image Classification

    E-Print Network [OSTI]

    Sanderson, Conrad

    Discovering Discriminative Cell Attributes for HEp-2 Specimen Image Classification Arnold Wiliem1 in developing Computer Aided Diagnostic (CAD) systems for improving the reliability and consistency of pathology- ther step by focussing on the specimen image classification problem itself. Our system is able

  14. Classification of Signature-only Signature Models Zhengjun Cao

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    Classification of Signature-only Signature Models Zhengjun Cao Department of Mathematics, Shanghai classification. Keywords signing party, verifying party, lucidity of a message's content, method of producing Pk, consequence of updating Sk. 1 Introduction There are about sixty digital signature models introduced

  15. Information Analysis of a Spatial Database for Ecological Land classification

    E-Print Network [OSTI]

    Dozier, Jeff

    Information Analysis of a Spatial Database for Ecological Land classification Frank W. Davis:An ecologicalland classification was developed for a complex region in southern California using geographic. The analysis was weakened by map errors, especially errors in the digital elevation data. Nevertheless

  16. Automated Text Classification in the DMOZ Lachlan Henderson

    E-Print Network [OSTI]

    Sanner, Scott

    Automated Text Classification in the DMOZ Hierarchy Lachlan Henderson November 6, 2009 Abstract The growth in the availability of on-line digital text documents has prompted considerable interest in Information Retrieval and Text Classification. Automation of the management of this wealth of textual data

  17. Texture Classification and Verification Using Bispectral Estimates at All

    E-Print Network [OSTI]

    Sidorov, Nikita

    Texture Classification and Verification Using Bispectral Estimates at All the Frequencies and Statistics Group School of Mathematics, The University of Manchester #12;1 Texture Classification 3220 Email: jingsong.yuan@manchester.ac.uk Abstract Digitized texture images can often be considered

  18. 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

  19. SHADOW IDENTIFICATION AND CLASSIFICATION USING INVARIANT COLOR MODELS

    E-Print Network [OSTI]

    Cavallaro, Andrea

    SHADOW IDENTIFICATION AND CLASSIFICATION USING INVARIANT COLOR MODELS Elena Salvador, Andrea in digital images. The proce- dure is divided into two levels: first, shadow candidate regions are extracted of the classification stage. Experimental results show that the method succeeds in detecting and classifying shadows

  20. MUSIC GENRE CLASSIFICATION WITH TAXONOMY School of Computer Science

    E-Print Network [OSTI]

    Li, Tao

    MUSIC GENRE CLASSIFICATION WITH TAXONOMY Tao Li School of Computer Science Florida International Rochester, NY, 14627 ABSTRACT Automatic music genre classification is a fundamental compo- nent of music with the emergence of digital music on the Internet. Although consider- able research has been conducted in automatic

  1. Database Classification by Hybrid Method combining Supervised and Unsupervised Learnings

    E-Print Network [OSTI]

    Avignon et des Pays de Vaucluse, Université de

    contained in unlabeled signals of a Geographic Information System (GIS), allow to well classify it. Finally : Minimerror, hybrid method, classification, un- supervised learning, Geographic Information System. I classifications. We applied this new approach to a real-world database in order to know if the information

  2. Towards Automatic Classification of Discourse Elements in Essays Jill Burstein

    E-Print Network [OSTI]

    Marcu, Daniel

    Towards Automatic Classification of Discourse Elements in Essays Jill Burstein ETS Technologies MS classification to identify thesis statements. This method yields results that are much closer to human improve their writing skills, writing evaluation systems need to provide feedback that is specific to each

  3. Vibration-based Terrain Classification Using Support Vector Machines

    E-Print Network [OSTI]

    Zell, Andreas

    Vibration-based Terrain Classification Using Support Vector Machines Christian Weiss, Holger Fr a method for terrain classification based on vibration induced in the vehicle's body. An accelerometer mounted on the vehicle measures the vibration perpendicular to the ground surface. We experimentally

  4. 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

  5. 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

  6. CLASSIFICATION OF EXPRESSION PATTERNS USING ARTIFICIAL NEURAL NETWORKS

    E-Print Network [OSTI]

    Ringnér, Markus

    understanding of how and why classification of a partic- ular problem gives good results. We hope this chapter a classification procedure shown to give good results and use the publicly available data set of small round blue on how to reduce high-dimensional array data to make the search for good ANNs more efficient. This is fol

  7. Examining the Evolution and Distribution of Patent Classifications

    E-Print Network [OSTI]

    Börner, Katy

    Examining the Evolution and Distribution of Patent Classifications Daniel O. Kutz School of Library and Information Science Indiana University 1320 E. 10th St., LI 011 Bloomington, IN 47405 dokutz the classification of more than 2.5 million patents in an attempt to improve understanding of how an assignee

  8. Environmental and Pollution Spatial Data Classification with Support Vector Machines

    E-Print Network [OSTI]

    Gilardi, Nicolas

    Environmental and Pollution Spatial Data Classification with Support Vector Machines and pollution spatial data analysis and modeling. The main attention is paid to classification of spatially be chosen by minimizing testing error. Real data on sediments pollution in the Geneva lake are used. 1

  9. Improving the Fisher Kernel for Large-Scale Image Classification

    E-Print Network [OSTI]

    Kim, Tae-Kyun

    classification the FK was shown to extend the popular bag-of-visual-words (BOV) by going beyond count statistics. However, in practice, this enriched representation has not yet shown its superiority over the BOV classification to date has been to describe images with bag-of-visual-words (BOV) histograms and to classify them

  10. Channel-aware Distributed Classification in Wireless Sensor Networks

    E-Print Network [OSTI]

    Valenti, Matthew C.

    University, Morgantown, WV, USA 2011 SPIE Defense, Security, and Sensing Signal Processing, Sensor Fusion, and Problem Statement 2 System Model of Our Distributed Classification WSN 3 Fusion Rule Derivation 4 Distributed Classification WSN 3 Fusion Rule Derivation 4 Numerical Analysis 5 Conclusions M. Fanaei et al

  11. 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)

    1997-01-01

    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.

  12. A Thesaurus-Based Semantic Classification of English Collocations

    E-Print Network [OSTI]

    A Thesaurus-Based Semantic Classification of English Collocations Chung-chi Huang, Chiung-hui Tseng.jschang}@gmail.com Abstract We propose a new method for organizing the numerous collocates into semantic thesaurus categories. The approach introduces a thesaurus-based semantic classification model automatically learning semantic

  13. Detection and Classification of Ash Dieback on Large-Scale

    E-Print Network [OSTI]

    Detection and Classification of Ash Dieback on Large-Scale Color Aerial Photographs Ralph J of Agriculture 1966 #12;Croxton, Ralph J. 1966. Detection and classification of ash dieback on large- scale. Forest Serv. Res. Paper PSW-35) Aerial color photographs were taken at two scales over ash stands in New

  14. AutoODC: Automated Generation of Orthogonal Defect Classifications

    E-Print Network [OSTI]

    Ng, Vincent

    data are reported by users or developers during system development, operation and maintenance valuable in-process feedback to system development and maintenance. Conducting ODC classification classification and analysis of defect data bridge the gap between causal analysis and statistical quality control

  15. Treatment-Based Traffic Classification for Residential Wireless Networks

    E-Print Network [OSTI]

    Kinicki, Robert E.

    provide no QoS support (e.g., the 5th generation Apple Airport Extreme IEEE 802.11n wireless router [101 Treatment-Based Traffic Classification for Residential Wireless Networks Feng Li, Mark Claypool concurrently over bottlenecked wireless access points (APs). This paper presents Classification and Treatment

  16. 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

  17. Automatic Computation of the Complete Root Classification for a Parametric

    E-Print Network [OSTI]

    Jeffrey, David

    Automatic Computation of the Complete Root Classification for a Parametric Polynomial Songxin Liang, Canada Abstract An improved algorithm, together with its implementation, is presented for the automatic) for references. Our present goal is to compute automat- ically the Complete Root Classification (CRC

  18. 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

  19. Ancient Ceramics: Computer aided Classification Dorrit Porter1

    E-Print Network [OSTI]

    Hamburg,.Universität

    Ancient Ceramics: Computer aided Classification Dorrit Porter1 , Peter Werner2 und Sven Utcke1 1 Objekte 1 #12;Ancient Ceramics: Computer aided Classification Dorrit Porter1 , Peter Werner2 , and Sven; rotationally symmetric objects 1 Introduction Ceramics usually have a short period of life, while at the same

  20. KINSHIP CLASSIFICATION BY MODELING FACIAL FEATURE HEREDITY Ruogu Fang1

    E-Print Network [OSTI]

    Chen, Tsuhan

    Company ABSTRACT We propose a new, challenging, problem in kinship classification: recognizing the family are interested in the problem of kinship family classification: Given a set of families, each with a set that a query person belongs to from a set of families. We propose a novel framework for recognizing kinship

  1. 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

  2. Work Authorization System

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

    2005-04-21

    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.

  3. Work Authorization System

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

    2005-04-21

    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.

  4. Mathematical Future work

    E-Print Network [OSTI]

    Phillips, David

    1/15 Mathematical modeling Example: Glaucoma clinic Future work Scheduling and resource planning;2/15 Mathematical modeling Example: Glaucoma clinic Future work So a mathematician walks into a room full of healthcare providers... · Mathematical modeling · A model for the glaucoma clinic · Future possibilities #12

  5. Work Authorization System

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

    1999-04-20

    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.

  6. Scalable Work Stealing

    SciTech Connect (OSTI)

    Dinan, James S.; Larkins, D. B.; Sadayappan, Ponnuswamy; Krishnamoorthy, Sriram; Nieplocha, Jaroslaw

    2009-11-14

    Irregular and dynamic parallel applications pose significant challenges to achieving scalable performance on large-scale multicore clusters. These applications often require ongoing, dynamic load balancing in order to maintain efficiency. While effective at small scale, centralized load balancing schemes quickly become a bottleneck on large-scale clusters. Work stealing is a popular approach to distributed dynamic load balancing; however its performance on large-scale clusters is not well understood. Prior work on work stealing has largely focused on shared memory machines. In this work we investigate the design and scalability of work stealing on modern distributed memory systems. We demonstrate high efficiency and low overhead when scaling to 8,192 processors for three benchmark codes: a producer-consumer benchmark, the unbalanced tree search benchmark, and a multiresolution analysis kernel.

  7. Historical literature review on waste classification and categorization

    SciTech Connect (OSTI)

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

    1995-03-01

    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.

  8. DOE Publishes Petition of CSA Group for Classification as a Nationally...

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

    for Classification as a Nationally Recognized Certification Program for Small Electric Motors DOE Publishes Petition of CSA Group for Classification as a Nationally Recognized...

  9. Tea classification based on artificial olfaction using bionic olfactory neural network

    E-Print Network [OSTI]

    Yang, X L; Fu, J; Lou, Z G; Wang, L Y; Li, G; Freeman, Walter J III

    2006-01-01

    J.W. : Electronic Nose Based Tea Quality Standardization.Tea Classification Based on Artificial Olfaction Usingof elec- tronic nose-brain for tea classification using the

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

    E-Print Network [OSTI]

    Al-Ghraibah, Amani; McAteer, R T James

    2015-01-01

    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 ...

  11. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricNCubictheThepresented in the7 Table7WorkWork with

  12. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricNCubictheThepresented in the7 Table7WorkWork

  13. On the Pursuit of Generalizations for the Petrov Classification and the Goldberg-Sachs Theorem

    E-Print Network [OSTI]

    Carlos Batista

    2014-05-16

    The Petrov classification is an important algebraic classification for the Weyl tensor valid in 4-dimensional space-times. In this thesis such classification is generalized to manifolds of arbitrary dimension and signature. This is accomplished by interpreting the Weyl tensor as a linear operator on the bundle of p-forms, for any p, and computing the Jordan canonical form of this operator. Throughout this work the spaces are assumed to be complexified, so that different signatures correspond to different reality conditions, providing a unified treatment. A higher-dimensional generalization of the so-called self-dual manifolds is also investigated. The most important result related to the Petrov classification is the Goldberg-Sachs theorem. Here are presented two partial generalizations of such theorem valid in even-dimensional manifolds. One of these generalizations states that certain algebraic constraints on the Weyl operator imply the existence of an integrable maximally isotropic distribution. The other version of the generalized Goldberg-Sachs theorem states that these algebraic constraints imply the existence of a null congruence whose optical scalars obey special restrictions. On the pursuit of these results the spinorial formalism in 6 dimensions was developed from the very beginning, using group representation theory. Since the spinors are full of geometric significance and are suitable tools to deal with isotropic structures, it should not come as a surprise that they provide a fruitful framework to investigate the issues treated on this thesis. In particular, the generalizations of the Goldberg-Sachs theorem acquire an elegant form in terms of the pure spinors.

  14. Putting Science to Work

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

    that 'bright kid' whose advice I have always sought and mostly followed." Putting Science to Work SafeTy remINDer Filigenzi, Gergel on the Job for TTED T wo new ORNL staff...

  15. 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.

  16. Clean Energy Works

    Broader source: Energy.gov [DOE]

    Through Clean Energy Works, homeowners can finance up to $30,000 at a fixed interest rate for home energy efficiency retrofits for a variety of measures. Customers have varying lender and loan op...

  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

    2013-02-14

    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. Fermilab: Science at Work

    SciTech Connect (OSTI)

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

    2013-02-01

    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.

  19. 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...

  20. Work breakdown structure guide

    SciTech Connect (OSTI)

    Not Available

    1987-02-06

    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.

  1. Work/Life Balance

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopmentatabout Who Works for NIF & PS? TheWindows,Work

  2. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricNCubictheThepresented in the7 Table7Work

  3. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricNCubictheThepresented in1: Model or Working Group

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricNCubictheThepresented in1: Model or Working

  5. A classification of multiple antenna channels Joseph J. Boutros, Fatma KharratKammoun, and Hugues Randriambololona

    E-Print Network [OSTI]

    Randriam, Hugues

    antenna digital transmissions [1] made us focus the application of our Hermitian forms classificationA classification of multiple antenna channels Joseph J. Boutros, Fatma Kharrat­Kammoun, and Hugues,fkharrat,randriam}@enst.fr Abstract--- We propose a new classification of multiple antenna channels. The classification is performed

  6. A classification of multiple antenna channels Joseph J. Boutros, Fatma Kharrat-Kammoun, and Hugues Randriambololona

    E-Print Network [OSTI]

    Randriam, Hugues

    antenna digital transmissions [1] made us focus the application of our Hermitian forms classificationA classification of multiple antenna channels Joseph J. Boutros, Fatma Kharrat-Kammoun, and Hugues,fkharrat,randriam}@enst.fr Abstract-- We propose a new classification of multiple antenna channels. The classification is performed

  7. Journal of Classification 27 (2010) DOI: 10.1007/s00357-010--

    E-Print Network [OSTI]

    Wand, Matt

    2010-01-01

    on digitized images and financial credit approval based on applicant attributes. Classification has an enormousJournal of Classification 27 (2010) DOI: 10.1007/s00357-010- - Parsimonious Classification Via a classification algorithm based on generalized linear mixed model (GLMM) technology. The algorithm incorporates

  8. Intelligent Fusion of Structural and Citation-Based Evidence for Text Classification

    E-Print Network [OSTI]

    Fernandez, Thomas

    . Our empirical experiments using documents from the ACM digital library and the ACM classification classification effectiveness. Experiments were performed on the ACM Digital Library using the ACM classificationIntelligent Fusion of Structural and Citation-Based Evidence for Text Classification Baoping Zhang

  9. Automatic Parallelization of Classification Systems based on Support Vector Machines: Comparison and Application to JET Database

    E-Print Network [OSTI]

    Automatic Parallelization of Classification Systems based on Support Vector Machines: Comparison and Application to JET Database

  10. A Characteristics-Based Approach to Radioactive Waste Classification in Advanced Nuclear Fuel Cycles

    E-Print Network [OSTI]

    Djokic, Denia

    2013-01-01

    International   Atomic   Energy   Agency,   General   Safety   Guide   No.   GSG-­?1,   “Classification  of  Radioactive  Waste”,  

  11. Experiments in Web Page Classification for Semantic Web Asad Satti, Nick Cercone, Vlado Keselj

    E-Print Network [OSTI]

    Keselj, Vlado

    Experiments in Web Page Classification for Semantic Web Asad Satti, Nick Cercone, Vlado Keselj address the problem of web page classification within the framework of automatic annotation for Semantic-known classification algorithms are evaluated on the task of web-page classification using the text of web pages. When

  12. GIS Framework for Large River Geomorphic Classification to Aid...

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

    GIS Framework for Large River Geomorphic Classification to Aid in the Evaluation of Flow-Ecology Relationships CR Vernon EV Arntzen MC Richmond RA McManamay 1 TP Hanrahan CL...

  13. 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

  14. Classification of distressed couples: implications for clinical intervention 

    E-Print Network [OSTI]

    Cozzi, Jebber Jake

    1998-01-01

    This study relates marital therapy outcome to an empirically-derived classification system for distressed marriages, based on measures of individual and marital functioning. Results of a hierarchical agglomerative cluster analysis identified four...

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

    E-Print Network [OSTI]

    Ortega-Tong, Meisy A. (Meisy Andrea)

    2013-01-01

    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 ...

  16. Multi-Class Classification with Maximum Margin Multiple Kernel

    E-Print Network [OSTI]

    Mohri, Mehryar

    (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

  17. Title/Topic: Research Misconduct Functional Classification: Research

    E-Print Network [OSTI]

    Harms, Kyle E.

    1 Title/Topic: Research Misconduct Number: 69 Functional Classification: Research Monitoring Unit: Initially Issued: March 1, 2006 Last Revised: Last Reviewed: RESEARCH MISCONDUCT I. Introduction* *Federal law requires Federal agencies sponsoring research to require an awardee institution to have

  18. A framework for a coarse aggregate classification system 

    E-Print Network [OSTI]

    Peapully, Srikrishna

    1994-01-01

    Coarse aggregates are the major constituents of concrete or asphalt mixtures and are widely used in various construction purposes. A classification system for these aggregates would provide a systematic means of aggregate identification which could...

  19. An Analytical Method For Multi-class Molecular Cancer Classification

    E-Print Network [OSTI]

    Poggio, Tomaso

    Institute / Massachusetts Institute of Technology Center for Genome Research, Cambridge, MA 02139 Vector Machines. We apply this methodology to the diagnosis of multiple common adult malignancies using using standard clinical and histopathologic approaches. Molecular approaches to cancer classification

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

    E-Print Network [OSTI]

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

    2006-05-07

    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.

  1. Particle Size Classification of Glass Particles Using Aerodynamic Jet Vectoring

    E-Print Network [OSTI]

    Smith, Barton L.

    Particle Size Classification of Glass Particles Using Aerodynamic Jet Vectoring Zachary E. Humes blowing and suction control flows­flows that are a fraction of the jet flow rate­to sharply change

  2. Land capability classification of minesoils in East Texas 

    E-Print Network [OSTI]

    Barth, Amy Kristen

    2002-01-01

    for the post-mine land. A land capability classification specific to minesoils will facilitate the design of appropriate land uses or alternative uses for reclaimed mine areas based on observed limitations. The proposed system is similar to the Land...

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

    E-Print Network [OSTI]

    Uzuner, Ozlem

    2009-01-01

    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 ...

  4. Atomic Classification of 6D SCFTs

    E-Print Network [OSTI]

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

    2015-07-11

    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.

  5. Atomic Classification of 6D SCFTs

    E-Print Network [OSTI]

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

    2015-05-04

    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.

  6. Work Force Discipline

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

    1983-03-23

    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.

  7. TEAM PROJECT: WORKING PROTOTYPE

    E-Print Network [OSTI]

    .) Value: the report is worth 10% of the Team Project grade. #12;Next steps: You will evaluateTEAM PROJECT: WORKING PROTOTYPE Due: Week of April 5-8 at time to be scheduled with GTA Format that will be polished into the final project for which you will create a final report and give a final presentation

  8. WORKING PAPER Resource Economics

    E-Print Network [OSTI]

    WORKING PAPER 2008-07 REPA Resource Economics & Policy Analysis Research Group Department of Economics University of Victoria Forest-mill integration: a transaction costs perspective Kurt Niquidet, Moeltne, and Johnson) 2003-06 ­ Climate Change and Forest Ecosystem Sinks: Economic Analysis (van Kooten

  9. Civil Works Environmental Desk

    E-Print Network [OSTI]

    US Army Corps of Engineers

    Civil Works Environmental Desk Reference Prepared by the Institute for Water Resources U.S. Army to address economic, social, institutional, and environmental needs in water resources planning and policy for conducting economic, social, environmental, and institutional analyses. These methods were essential

  10. Classification and waterfowl use of ponds in south Texas 

    E-Print Network [OSTI]

    McAdams, Matthew Stephen

    1987-01-01

    CLASSIFICATION AND WATERFOWL USE OF PONDS IN SOUTH TEXAS A Thesis . by MATTHEW STEPHEN McADAMS Submitted to the Graduate College of Texas A&M University in partial fulfillment of the recpxirements for the degree of MASTER OF SCIENCE August... 1987 Major Subject: Wildlife and Fisheries Sciences CLASSIFICATION AND WATERFOWL USE OF PONDS IN SOUTH TEXAS A Thesis by MATTHEW STEPHEN M ADAMS Approved as to style and content by: William H. Kiel, Jr. (Chair of Committee) Robert D. Baker...

  11. New Approaches to Object Classification in Synoptic Sky Surveys

    E-Print Network [OSTI]

    C. Donalek; A. Mahabal; S. G. Djorgovski; S. Marney; A. Drake; E. Glikman; M. J. Graham; R. Williams

    2008-10-27

    Digital synoptic sky surveys pose several new object classification challenges. In surveys where real-time detection and classification of transient events is a science driver, there is a need for an effective elimination of instrument-related artifacts which can masquerade as transient sources in the detection pipeline, e.g., unremoved large cosmic rays, saturation trails, reflections, crosstalk artifacts, etc. We have implemented such an Artifact Filter, using a supervised neural network, for the real-time processing pipeline in the Palomar-Quest (PQ) survey. After the training phase, for each object it takes as input a set of measured morphological parameters and returns the probability of it being a real object. Despite the relatively low number of training cases for many kinds of artifacts, the overall artifact classification rate is around 90%, with no genuine transients misclassified during our real-time scans. Another question is how to assign an optimal star-galaxy classification in a multi-pass survey, where seeing and other conditions change between different epochs, potentially producing inconsistent classifications for the same object. We have implemented a star/galaxy multipass classifier that makes use of external and a priori knowledge to find the optimal classification from the individually derived ones. Both these techniques can be applied to other, similar surveys and data sets.

  12. Point Vortices: Finding Periodic Orbits and their Topological Classification

    E-Print Network [OSTI]

    Spencer A. Smith

    2015-10-22

    The motion of point vortices constitutes an especially simple class of solutions to Euler's equation for two dimensional, inviscid, incompressible, and irrotational fluids. In addition to their intrinsic mathematical importance, these solutions are also physically relevant. Rotating superfluid helium can support rectilinear quantized line vortices, which in certain regimes are accurately modeled by point vortices. Depending on the number of vortices, it is possible to have either regular integrable motion or chaotic motion. Thus, the point vortex model is one of the simplest and most tractable fluid models which exhibits some of the attributes of weak turbulence. The primary aim of this work is to find and classify periodic orbits, a special class of solutions to the point vortex problem. To achieve this goal, we introduce a number of algorithms: Lie transforms which ensure that the equations of motion are accurately solved; constrained optimization which reduces close return orbits to true periodic orbits; object-oriented representations of the braid group which allow for the topological comparison of periodic orbits. By applying these ideas, we accumulate a large data set of periodic orbits and their associated attributes. To render this set tractable, we introduce a topological classification scheme based on a natural decomposition of mapping classes. Finally, we consider some of the intriguing patterns which emerge in the distribution of periodic orbits in phase space. Perhaps the most enduring theme which arises from this investigation is the interplay between topology and geometry. The topological properties of a periodic orbit will often force it to have certain geometric properties.

  13. Making energy mortgages work

    SciTech Connect (OSTI)

    Luboff, J.A.

    1995-05-01

    At a time when many energy efficiency projects face an uncertain future, home energy ratings and energy mortgages are receiving more attention than ever. Will enthusiasm in the industry and new programs from conventional lenders and the federal government finally open up the market? This article describes the energy morgage marketplace, how energy mortages work, and what the future holds. Topics include the following: Who`s who and what`s what in the EM marketplace; initial Freddie Mac and Fannie Mae guidelines; past and present home energy rating system; how do you score a house; how an energy mortage works; energy improvement loans; sample rating certificate; fixing the system; Colorado`s conventional market approach; US DOE`s pilot group; energy mortages set to take off.

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

    E-Print Network [OSTI]

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

    2006-06-21

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

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0Photos andSeminarsDesign RenewableNational SecurityWork

  16. Winter 2014 Working Groups

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopmentatabout Who Works for NIF & PS? TheWindows, Doors,

  17. Working With Us | NREL

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopmentatabout Who Works for NIF & PS?

  18. ORISE: Working with ORISE

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you notHeatMaRIEdioxideUser WorkEPVisiting Us If you are visiting theOak

  19. Service and Repair Work

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopment Top Scientific Impact SinceService and Repair Work

  20. TRU TeamWorks

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With LivermoreSustainableDEPARTMENT OFEnergy- EnergyTri-State, 2004 By

  1. TRU TeamWorks

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With LivermoreSustainableDEPARTMENT OFEnergy- EnergyTri-State, 2004

  2. TRU TeamWorks

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With LivermoreSustainableDEPARTMENT OFEnergy- EnergyTri-State, 20041,

  3. TRU TeamWorks

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With LivermoreSustainableDEPARTMENT OFEnergy- EnergyTri-State, 20041,3

  4. TRU TeamWorks

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With LivermoreSustainableDEPARTMENT OFEnergy- EnergyTri-State,

  5. TRU TeamWorks

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With LivermoreSustainableDEPARTMENT OFEnergy- EnergyTri-State,2 WIPP

  6. TRU TeamWorks

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With LivermoreSustainableDEPARTMENT OFEnergy- EnergyTri-State,2 WIPP9,

  7. Work Force Restructuring Activities

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyThe U.S.Lacledeutilities.EnergyKirstin AlberiComputerMathewsWeiWork Force

  8. TeamWorks.cdr

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S. Coal StocksSuppliersmillion core hours toJune 2013September

  9. How It Works

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation CurrentHenry Bellamy, Ph.D.Food Drive HolidayHours UsedFire 1GetHowHow It Works

  10. Coping with Hot Work Environments 

    E-Print Network [OSTI]

    Smith, David

    2005-04-28

    Many people work under hot, humid conditions. Summer heat is a particular hazard to agricultural producers who work long hours under the sun. However, other people working in hot yards, gardens, kitchens or industry jobs are also exposed...

  11. Morphological Classification of Galaxies by Shapelet Decomposition in the Sloan Digital Sky Survey II: Multiwavelength Classification

    E-Print Network [OSTI]

    B. C. Kelly; T. A. McKay

    2004-12-15

    We describe the application of the `shapelet' linear decomposition of galaxy images to multi-wavelength morphological classification using the $u,g,r,i,$ and $z$-band images of 1519 galaxies from the Sloan Digital Sky Survey. We utilize elliptical shapelets to remove to first-order the effect of inclination on morphology. After decomposing the galaxies we perform a principal component analysis on the shapelet coefficients to reduce the dimensionality of the spectral morphological parameter space. We give a description of each of the first ten principal component's contribution to a galaxy's spectral morphology. We find that galaxies of different broad Hubble type separate cleanly in the principal component space. We apply a mixture of Gaussians model to the 2-dimensional space spanned by the first two principal components and use the results as a basis for classification. Using the mixture model, we separate galaxies into three classes and give a description of each class's physical and morphological properties. We find that the two dominant mixture model classes correspond to early and late type galaxies, respectively. The third class has, on average, a blue, extended core surrounded by a faint red halo, and typically exhibits some asymmetry. We compare our method to a simple cut on $u-r$ color and find the shapelet method to be superior in separating galaxies. Furthermore, we find evidence that the $u-r=2.22$ decision boundary may not be optimal for separation between early and late type galaxies, and suggest that the optimal cut may be $u-r \\sim 2.4$.

  12. How NIF Works

    ScienceCinema (OSTI)

    None

    2010-09-01

    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:

  13. Working Group Report: Sensors

    SciTech Connect (OSTI)

    Artuso, M.; et al.,

    2013-10-18

    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.

  14. 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)

    2007-10-15

    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.

  15. A Brief Summary of Dictionary Learning Based Approach for Classification

    E-Print Network [OSTI]

    Shu, Kong

    2012-01-01

    This note presents some representative methods which are based on dictionary learning (DL) for classification. We do not review the sophisticated methods or frameworks that involve DL for classification, such as online DL and spatial pyramid matching (SPM), but rather, we concentrate on the direct DL-based classification methods. Here, the "so-called direct DL-based method" is the approach directly deals with DL framework by adding some meaningful penalty terms. By listing some representative methods, we can roughly divide them into two categories, i.e. (1) directly making the dictionary discriminative and (2) forcing the sparse coefficients discriminative to push the discrimination power of the dictionary. From this taxonomy, we can expect some extensions of them as future researches.

  16. Statistics and classification of the microwave zebra patterns associated with solar flares

    SciTech Connect (OSTI)

    Tan, Baolin; Tan, Chengming; Zhang, Yin [Key Laboratory of Solar Activity, National Astronomical Observatories of Chinese Academy of Sciences, Beijing 100012 (China); Mészárosová, H.; Karlický, M., E-mail: bltan@nao.cas.cn [Astronomical Institute of the Academy of Sciences of the Czech Republic, Ondrejov 15165 (Czech Republic)

    2014-01-10

    The microwave zebra pattern (ZP) is the most interesting, intriguing, and complex spectral structure frequently observed in solar flares. A comprehensive statistical study will certainly help us to understand the formation mechanism, which is not exactly clear now. This work presents a comprehensive statistical analysis of a big sample with 202 ZP events collected from observations at the Chinese Solar Broadband Radio Spectrometer at Huairou and the Ond?ejov Radiospectrograph in the Czech Republic at frequencies of 1.00-7.60 GHz from 2000 to 2013. After investigating the parameter properties of ZPs, such as the occurrence in flare phase, frequency range, polarization degree, duration, etc., we find that the variation of zebra stripe frequency separation with respect to frequency is the best indicator for a physical classification of ZPs. Microwave ZPs can be classified into three types: equidistant ZPs, variable-distant ZPs, and growing-distant ZPs, possibly corresponding to mechanisms of the Bernstein wave model, whistler wave model, and double plasma resonance model, respectively. This statistical classification may help us to clarify the controversies between the existing various theoretical models and understand the physical processes in the source regions.

  17. 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).

  18. 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.

  19. Clean Energy Works Oregon (CEWO)

    Broader source: Energy.gov [DOE]

    Presents Clean Energy Works Oregon's program background and the four easy steps to lender selection.

  20. 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

  1. WNClASSIflfO CLASSIFICATION CANCELLED

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricN A 035(92/02) nerg *415, 2014October 8,WNClASSIflfO ^

  2. Waste Classification FAQ DRAFT.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricN A 035(92/02) nergFeet)Department of

  3. Feature Shape and Elevation Based Road Classification and Extraction on High Spatial

    E-Print Network [OSTI]

    Carbonara, Joaquin

    Feature Shape and Elevation Based Road Classification and Extraction on High Spatial Resolution #12; 2 Abstract: Classification and extraction of geospatial features from high spatial resolution. However, the conventional method of human interpretation and digitizing cannot fulfill the requirements

  4. Sporocarp Ontogeny in Panus (Basidiomycotina): Evolution and Classification David S. Hibbett; Shigeyuki Murakami; Akihiko Tsuneda

    E-Print Network [OSTI]

    Hibbett, David S.

    Sporocarp Ontogeny in Panus (Basidiomycotina): Evolution and Classification David S. Hibbett on the screen or printed page of such transmission. The JSTOR Archive is a trusted digital repository providing. SPOROCARPONTOGENY IN PANUS(BASIDIOMYCOTINA): EVOLUTION AND CLASSIFICATION' DAVIDS. HIBBETT,~ MURAKAMI

  5. Efficient Packet Classification with Digest Caches Francis Chang, Wu-chang Feng, Wu-chi Feng

    E-Print Network [OSTI]

    3-1 Chapter 3 Efficient Packet Classification with Digest Caches Francis Chang, Wu-chang Feng, Wu of digest caches for efficient packet classification. The goal of digest caches is similar to Bloom. Digest caches, however, allow tradi

  6. 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 Gordon W. Paynter Department of Computer Science The INFOMINE Project, Science Library University This paper addresses the problem of automatically assigning a Library of Congress Classification (LCC

  7. Applications (Classification, Advisory, and License) and Documentation Part 748page 1 Export Administration Regulations

    E-Print Network [OSTI]

    Bernstein, Daniel

    Applications (Classification, Advisory, and License) and Documentation Part 748­page 1 Export in writing or electronically, for classifications, advisory opinions or licenses subject to the Export Consistent with section 12(c) of the Export Administration Act, as amended, information obtained

  8. AUDIO GENRE CLASSIFICATION USING PERCUSSIVE PATTERN CLUSTERING COMBINED WITH TIMBRAL FEATURES

    E-Print Network [OSTI]

    Tzanetakis, George

    characterize different genres and styles of music directly from audio signals. In previous research, timbralAUDIO GENRE CLASSIFICATION USING PERCUSSIVE PATTERN CLUSTERING COMBINED WITH TIMBRAL FEATURES Emiru features. Index Terms-- Audio genre classification, Percussive sound, Dynamic programming, Pattern

  9. Molecular cancer classification using an meta-sample-based regularized robust coding method

    E-Print Network [OSTI]

    Wang, Shu-Lin; Sun, Liuchao; Fang, Jianwen

    2014-12-03

    , its efficiency needs to be improved when analyzing large-scale GEP data. Results In this paper we present the meta-sample-based regularized robust coding classification (MRRCC), a novel effective cancer classification technique that combines the idea...

  10. Interview: LaborWorks@NeighborWorks Provides Vermont Contractors...

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

    LaborWorks@NeighborWorks is a nonprofit temporary labor pool formed to assist professional contractors involved with the HEAT Squad during busy periods when they couldn't keep up...

  11. University Policy No.: FM5510 Classification: Financial Management

    E-Print Network [OSTI]

    Victoria, University of

    Services operation are to provide consistent high quality, efficient food service to the University and Operations by March 1 for the following fiscal year. 1.4 The General Manager of Housing, FoodUniversity Policy No.: FM5510 Classification: Financial Management Approving Authority: Vice

  12. Fingerprinting the Datacenter: Automated Classification of Performance Crises

    E-Print Network [OSTI]

    Woodard, Dawn B.

    Fingerprinting the Datacenter: Automated Classification of Performance Crises Peter Bod´ik1, Berkeley 2 Microsoft Research 3 Cornell University 4 Microsoft Abstract Contemporary datacenters comprise on a new and efficient representation of the datacenter's state called a fingerprint, constructed by statis

  13. The Legal Classification of Identity-Based Christoph Sorge

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    The Legal Classification of Identity-Based Signatures Christoph Sorge University of Paderborn 33098 of future identity-based signature schemes. 1 Introduction Digital signatures are among the most widely used verification of a digital signature guarantees integrity and authenticity of the corresponding message. Non

  14. 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

  15. 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

  16. Automatic Classification of Digestive Organs in Wireless Capsule Endoscopy Videos

    E-Print Network [OSTI]

    Lee, Jeongkyu

    Automatic Classification of Digestive Organs in Wireless Capsule Endoscopy Videos Jeongkyu Lee1. University of North Texas Denton, TX 76203 {jhoh,xyuan}@cse.unt.edu 3 Division of Digestive Diseases UTSW the assessment time, it is critical to develop a technique to automatically discriminate digestive organs

  17. 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

  18. Wind speed PDF classification using Dirichlet mixtures Rudy CALIF1

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  19. Industrial Steam Power Cycles Final End-Use Classification 

    E-Print Network [OSTI]

    Waterland, A. F.

    1983-01-01

    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...

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

    E-Print Network [OSTI]

    Yang, Qiang

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

  1. A Classification of SQL Injection Attacks and Countermeasures

    E-Print Network [OSTI]

    Orso, Alessandro "Alex"

    A Classification of SQL Injection Attacks and Countermeasures William G.J. Halfond, Jeremy Viegas|jeremyv|orso}@cc.gatech.edu ABSTRACT SQL injection attacks pose a serious security threat to Web appli- cations: they allow attackers methods to address the SQL injection problem, current approaches either fail to address the full scope

  2. Letter to the Editor Ecosystem services: Multiple classification systems

    E-Print Network [OSTI]

    Vermont, University of

    population's information about the world, especially when it comes to ecosystem services, is extremelyLetter to the Editor Ecosystem services: Multiple classification systems are needed In a recent to enrich our thinking about ecosystem services rather than a problem to be defined away. Let us start

  3. What's the Code? Automatic Classification of Source Code Archives

    E-Print Network [OSTI]

    Giles, C. Lee

    show that source code can be accurately and automatically classified into topical categories and canWhat's the Code? Automatic Classification of Source Code Archives Secil Ugurel1, Robert Krovetz2, C.psu.edu 2NECResearchInstitute 4 IndependenceWay, Princeton,NJ 08540 {krovetz, dpennock, compuman} @research

  4. Relational Classification Through ThreeState Epidemic Aram Galstyan

    E-Print Network [OSTI]

    Information Sciences Institute University of Southern California Marina del Rey, CA, U.S.A. cohen of scientists is a challeng- ing task that requires fusing information from var- ious heterogeneous sourcesRelational Classification Through Three­State Epidemic Dynamics Aram Galstyan Information Sciences

  5. What's the code? Automatic Classification of Source Code Archives

    E-Print Network [OSTI]

    Giles, C. Lee

    What's the code? Automatic Classification of Source Code Archives Secil Ugurel 1 , Robert Krovetz 2, zha} @cse.psu.edu 2 NEC Research Institute 4 Independence Way, Princeton, NJ 08540 {krovetz, dpennock, compuman} @research.nj.nec.com 3 School of Information Sciences and Technology The Pennsylvania State

  6. Harmonium Models for Semantic Video Representation and Classification

    E-Print Network [OSTI]

    keywords and color-histogram features, and perform classification using these latent topics under a unified. Video data contain multifari- ous data types including image frames, transcript text, speech, audio signal, each bearing correlated and com- plementary information essential to the analysis and re- trieval

  7. A Comparative Study on Content-Based Music Genre Classification

    E-Print Network [OSTI]

    Li, Tao

    and composers have been influenced by music in other genres. However, it has been observed that audio signals classification, DWCHs1 . DWCHs capture the local and global information of music signals simultaneously by computing histograms on their Daubechies wavelet coefficients. Effectiveness of this new feature

  8. THE CLASSIFICATION OF DEHN SURGERIES ON 2-BRIDGE KNOTS

    E-Print Network [OSTI]

    Brittenham, Mark

    THE CLASSIFICATION OF DEHN SURGERIES ON 2-BRIDGE whether a given surgery on a 2-bridge knot is * *reducible, toroidal, Seifert fibered, or hyperbolic are non-hyperbolic. Let Kp=q be a 2-bridge* * knot associated to the rational number p=q. When p 1

  9. THE CLASSIFICATION OF DEHN SURGERIES ON 2-BRIDGE KNOTS

    E-Print Network [OSTI]

    Brittenham, Mark

    THE CLASSIFICATION OF DEHN SURGERIES ON 2-BRIDGE KNOTS Mark Brittenham and Ying-Qing Wu Abstract. We will determine whether a given surgery on a 2-bridge knot is reducible, toroidal, Seifert bered-hyperbolic. Let Kp=q be a 2-bridge knot associated to the rational number p=q. When p 1 mod q, K is a torus knot

  10. 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

  11. Support Vector Machine Classification of Microarray Gene Expression Data

    E-Print Network [OSTI]

    Noble, William Stafford

    using expression data. In addition, SVM performance is compared to four standard machine learningSupport Vector Machine Classification of Microarray Gene Expression Data UCSC-CRL-99-09 Michael P 95065 mpbrown,bgrundy,dave,haussler @cse.ucsc.edu ß Center for Molecular Biology of RNA Department

  12. Classification of perturbations for membranes with bending 10October 1996

    E-Print Network [OSTI]

    Wiese, Kay Jörg

    EISEVIER Classification of perturbations for membranes with bending 10October 1996 Physics a manifold with van- ishing tension but with bending rigidity. In this case r(x) is the amplitude structure. The goal is to find the eigen- operators of the renormalization-group flow. The paper

  13. 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

  14. HIGH PRECISION FREQUENCY ESTIMATION FOR HARPSICHORD TUNING CLASSIFICATION

    E-Print Network [OSTI]

    Dixon, Simon

    HIGH PRECISION FREQUENCY ESTIMATION FOR HARPSICHORD TUNING CLASSIFICATION Dan Tidhar, Matthias of conservative transcription, and show that existing high-precision pitch estimation techniques are sufficient that "sound good" together) is de- rived from the sharing of partial frequencies. As musical instruments

  15. OUTLIER ESTIMATION AND DETECTION APPLICATION TO SKIN LESION CLASSIFICATION

    E-Print Network [OSTI]

    OUTLIER ESTIMATION AND DETECTION APPLICATION TO SKIN LESION CLASSIFICATION S. Sigurdsson£ , J the project Signal and Image Processing for Telemedicine (SITE). Outliers are defined as an input pattern be rewritten as Ô´ Рܵ Ô¼´ Рܵ´½ ¬ µ·¬ (2) where ¬ ¼ ½ ´ ½µ . 3. NETWORK ARCHITECTURE AND INFERENCE

  16. Bayesian network models for hierarchical text classification from a thesaurus

    E-Print Network [OSTI]

    de Campos, Luis M.

    Bayesian network models for hierarchical text classification from a thesaurus Luis M. de Campos to be classified, automatically generates an ordered set of appropriate descriptors extracted from a thesaurus. The method creates a Bayesian network to model the thesaurus and uses probabilistic inference to select

  17. Geometrical classification of Killing tensors on bidimensional flat manifolds

    E-Print Network [OSTI]

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

    2006-08-31

    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.

  18. AutoODC: Automated Generation of Orthogonal Defect Classifications

    E-Print Network [OSTI]

    Ng, Vincent

    data are reported by users or developers during system development, operation and maintenance and analysis, provides valuable in­process feedback to system development and maintenance. Conducting ODC classification and analysis of defect data bridge the gap between causal analysis and statistical quality control

  19. FRAME BASED KERNEL METHODS FOR AUTOMATIC CLASSIFICATION IN HYPERSPECTRAL DATA

    E-Print Network [OSTI]

    Hirn, Matthew

    FRAME BASED KERNEL METHODS FOR AUTOMATIC CLASSIFICATION IN HYPERSPECTRAL DATA John J. Benedetto, instead of (orthonormal) bases. Our frames are data-dependent and are based on endmember demixing schemes propose a new kernel and frame based dimension reduc- ing algorithm by exploiting the synergy between

  20. A Rule-Based Classification Algorithm for Uncertain Data

    E-Print Network [OSTI]

    Tu, Yicheng

    A Rule-Based Classification Algorithm for Uncertain Data Biao Qin, Yuni Xia Department of Computer uncertain data interval and probability distribution function. Based on the new measures, the optimal and decision errors, unreliable data transmission and data staling. For example, in location based services

  1. The Software Invention Cube: a Classification Scheme for Software Inventions

    E-Print Network [OSTI]

    Klint, Paul

    The Software Invention Cube: a Classification Scheme for Software Inventions Jan A. Bergstra.science.uva.nl/~janb and Paul Klint Centrum voor Wiskunde en Informatica (CWI), Software Engineering Department and Informatics system aims at protecting inventions. The requirement that a software invention should make `a technical

  2. Hierarchical classification with reject option for live fish recognition

    E-Print Network [OSTI]

    Fisher, Bob

    Hierarchical classification with reject option for live fish recognition Phoenix X. Huang@inf.ed.ac.uk Robert B. Fisher University of Edinburgh rbf@inf.ed.ac.uk Abstract A live fish recognition system. We present a novel Balance-Enforced Optimized Tree with Reject op- tion (BEOTR) for live fish

  3. Interactive Multiscale Classification of High-Resolution Remote Sensing Images

    E-Print Network [OSTI]

    Gosselin, Philippe-Henri

    1 Interactive Multiscale Classification of High-Resolution Remote Sensing Images Jefersson Alex dos~ao Abstract The use of remote sensing images (RSIs) as a source of information in agribusiness applications in space occupation. However, the identification and recognition of crop regions in remote sensing images

  4. ReportTechnical Classification of Semantic Concepts to Support

    E-Print Network [OSTI]

    . For the classification of studio vs. non-studio, football vs. ice hockey, computer graphics vs. nat- ural scenes as the high spread of these representations make them interesting for comparison across countries or years. 1- bolic connotation from the annotation scheme. The items are studio/non-studio, football/ice hockey

  5. Classification of prostate magnetic resonance spectra using support vector machine

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    to Biomedical Signal Processing and Control December 12, 2011 hal-00650862,version1-12Dec2011 Author manuscript, published in "Biomedical Signal Processing and Control (2011) 1-8" DOI : 10.1016/j.bspc.2011.09.003 #12;pre-processed- tomatic classification with and without quantification of metabolite signals. The dataset is composed

  6. Tissue Classification of Noisy MR Brain Images Using Constrained GMM

    E-Print Network [OSTI]

    Goldberger, Jacob

    Tissue Classification of Noisy MR Brain Images Using Constrained GMM Amit Ruf1 , Hayit Greenspan1. The presented algorithm is used to segment 3D, T1­weighted, simulated and real MR images of the brain into three , and Jacob Goldberger2 1 Department of Biomedical Engineering, Tel-Aviv University, ISRAEL, 2 School

  7. A Conceptual Framework for ERP Benefit Classification: A Literature Review

    E-Print Network [OSTI]

    Wieringa, Roel

    A Conceptual Framework for ERP Benefit Classification: A Literature Review Silja Eckartz*, Maya resource planning (ERP) benefits, carried out according to the guidelines by Webster et al. (2002 in the identification, realization and assessment of ERP benefits. Special focus is put on benefits management in cross

  8. Itemset Based Sequence Classification Cheng Zhou1,2

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    of Antwerp, Belgium 2 National University of Defense Technology, China Cheng.Zhou@student.ua.ac.be Abstract. Sequence classification is an important task in data mining. We address the problem of sequence has been an important problem in statistical machine learning and data mining. The sequence

  9. 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

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

    E-Print Network [OSTI]

    Pereira, Jorge Vitório

    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

  11. Classification of Commodity Price Forecast With Random Forests and Bayesian

    E-Print Network [OSTI]

    Freitas, Nando de

    on the sentiment of price39 forecasts and reports for commodities such as gold, natural gas or most commonly oil or natural gas can impact everything from the21 critical business decisions made within nationsClassification of Commodity Price Forecast Sentiment With Random Forests and Bayesian Optimization

  12. Classification of Energy Consumption in Buildings with Outlier Detection

    E-Print Network [OSTI]

    Yao, Xin

    1 Classification of Energy Consumption in Buildings with Outlier Detection Xiaoli Li, Chris P is to enable a building management system to be used for forecasting and detection of abnormal energy use. First, an outlier detection method is proposed to identify abnormally high or low energy use in building

  13. ENHANCED CLOUD REGIME CLASSIFICATION FOR EVALUATION OF MODEL FAST PHYSICS

    E-Print Network [OSTI]

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

  14. Land Cover Classification with Multi-Sensor Fusion of Partly Missing Data

    E-Print Network [OSTI]

    Aksoy, Selim

    Land Cover Classification with Multi-Sensor Fusion of Partly Missing Data We describe how decision a system that uses decision tree-based tools for seamless acquisition of knowledge for classification during both training and classification to handle cases where one or more measurements do not exist

  15. 3DString: A Feature String Kernel for 3D Object Classification on Voxelized Data

    E-Print Network [OSTI]

    Kriegel, Hans-Peter

    3DString: A Feature String Kernel for 3D Object Classification on Voxelized Data Johannes AÃ?falg-Maximilians-University Munich, Germany {assfalg|kb|kriegel}@dbs.ifi.lmu.de ABSTRACT Classification of 3D objects remains which allows to combine it with an M-tree for handling of large volumes of data. Classification

  16. ReVision: Automated Classification, Analysis and Redesign of Chart Images

    E-Print Network [OSTI]

    O'Brien, James F.

    ReVision: Automated Classification, Analysis and Redesign of Chart Images Manolis Savva, Nicholas an image classification ac- curacy of 96% across ten chart categories. It also accurately extracts marks alternative chart designs and retarget content to different visual styles. ACM Classification: H5

  17. Mammography Classification by an Association Rule-based Osmar R. Zaiane

    E-Print Network [OSTI]

    Zaiane, Osmar R.

    Mammography Classification by an Association Rule-based Classifier Osmar R. Za¨iane Department: acoman@cs.ualberta.ca ABSTRACT This paper proposes a new classification method based on association rule in a classification model. The experimen- tal results show that the method performs well reaching over 80% in accuracy

  18. Comparison of Kernel Estimators, Perceptrons, and RadialBasis Functions for OCR and Speech Classification

    E-Print Network [OSTI]

    Alpaydýn, Ethem

    ­basis functions for the problems of classification of handwritten digits and speech phonemes. By taking two Classification Ethem Alpaydin, Fikret G¨urgen Department of Computer Engineering, Boâ??gazi¸ci University, TR­80815 networks. Four criteria are taken for comparison: Correct classification of the test set, network size

  19. Monitoring urban land cover change: An expert system approach to land cover classification

    E-Print Network [OSTI]

    Ramsey, Michael

    such as land use data, spatial texture, and digital elevation models (DEMs) to obtain greater classificationMonitoring urban land cover change: An expert system approach to land cover classification with Landsat Thematic Mapper (TM) data to derive a land cover classification for the semiarid Phoenix

  20. A Fingerprint Classification Technique Using Directional Images Meltem Ballan and F. Ayhan Sakarya

    E-Print Network [OSTI]

    Evans, Brian L.

    A Fingerprint Classification Technique Using Directional Images Meltem Ballan and F. Ayhan Sakarya directional histograms. The technique enhances the digitized image using adaptive clipping and image matching classification methods, such as Galton and Henry Classification [2], rely on point patterns in fingerprints which

  1. Acyclic Subgraph based Descriptor Spaces for Chemical Compound Retrieval and Classification

    E-Print Network [OSTI]

    Minnesota, University of

    Acyclic Subgraph based Descriptor Spaces for Chemical Compound Retrieval and Classification Nikil Wale and George Karypis Department of Computer Science/Digital Technology Center , University of the new descriptors in the context of SVM-based classification and ranked-retrieval on 28 classification

  2. Spatial Contextual Noise Removal for Post Classification Smoothing of Remotely Sensed Images

    E-Print Network [OSTI]

    Zhang, Kang

    context. The strategy is demonstrated through the classification of a benchmark digital aerial photographSpatial Contextual Noise Removal for Post Classification Smoothing of Remotely Sensed Images Yu information in remote sensing imagery and the limited classification ability based on spectral analysis

  3. On the integration of regional classification systems for the National Map

    E-Print Network [OSTI]

    Bittner, Thomas

    : Ontology, Classification and delineation systems, National Map 1 Introduction Categorial (digital or non-digital (Omernik, 2004). For the integration of digital maps from different sources, classification systemsOn the integration of regional classification systems for the National Map Thomas Bittner

  4. YouTubeEvent: on Large-Scale Video Event Classification Bingbing Ni

    E-Print Network [OSTI]

    Cortes, Corinna

    YouTubeEvent: on Large-Scale Video Event Classification Bingbing Ni Advanced Digital Sciences the problem of general event classification from uncontrolled YouTube videos. It is a challenging task due from YouTube to represent these categories. To improve classification per- formance, video content

  5. MUSIC GENRES CLASSIFICATION USING TEXT CATEGORIZATION METHOD Kai Chen, Sheng Gao, Yongwei Zhu, Qibin Sun

    E-Print Network [OSTI]

    Sun, Qibin

    the large digital music database has arisen as a crucial problem. Automatic music type classification couldMUSIC GENRES CLASSIFICATION USING TEXT CATEGORIZATION METHOD Kai Chen, Sheng Gao, Yongwei Zhu.a-star.edu.sg ABSTRACT Automatic music genre classification is one of the most challenging problems in music information

  6. Unsupervised Classification Strategies How much forest cover exists along the Illinois River?

    E-Print Network [OSTI]

    Frank, Thomas D.

    ;#12;#12;Digital Image Classification The objective of digital image classification is to partition feature spaceUnsupervised Classification Strategies How much forest cover exists along the Illinois River into decision regions, then to assign pixels in an image to the most likely feature category. #12;Digital Image

  7. A Universal Source Thesaurus as a Classification Generator The construction of a Universal Source Thesaurus (UST)

    E-Print Network [OSTI]

    Soergel, Dagobert

    Thesaurus (UST) is suggested. Unlike a universal classification, UST's main purpose would not be to serveA Universal Source Thesaurus as a Classification Generator The construction of a Universal Source in the construction of special schemes; (b) serve as a concordance between a great many classification schemes

  8. 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

  9. 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

  10. 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

  11. The MultiRank Bootstrap Algorithm: Semi-Supervised Political Blog Classification and Ranking Using Semi-

    E-Print Network [OSTI]

    Cohen, William W.

    The MultiRank Bootstrap Algorithm: Semi-Supervised Political Blog Classification and Ranking Using: Semi-Supervised Political Blog Classification and Ranking Using Semi-Supervised Link Classification present a new, intuitive semi-supervised learning algo- rithm for classifying political blogs in a blog

  12. Cost-Sensitive Classification with Genetic Programming Jin Li, Xiaoli Li and Xin Yao

    E-Print Network [OSTI]

    Yao, Xin

    Cost-Sensitive Classification with Genetic Programming Jin Li, Xiaoli Li and Xin Yao The Centre.Yao}@cs.bham.ac.uk Abstract- Cost-sensitive classification is an attractive topic in data mining. Although genetic programming exploited to ad- dress cost-sensitive classification in the literature, where the costs of misclassification

  13. Word Classification: An Experimental Approach with Nave Bayes ding@cs.umb.edu

    E-Print Network [OSTI]

    Ding, Wei

    Word Classification: An Experimental Approach with Naïve Bayes Wei Ding ding@cs.umb.edu University 77058 USA Abstract Word classification is of significant interest in the domain of natural language presents an experimental method using Naïve Bayes for word classification. The method is based on combing

  14. IBLStreams: A System for Instance-Based Classification and Regression on Data Streams

    E-Print Network [OSTI]

    Hüllermeier, Eyke

    IBLStreams: A System for Instance-Based Classification and Regression on Data Streams Ammar Shaker to classification and regression problems. In comparison to model-based methods for learning on data streams. Keywords: Data streams, classification, regression, instance-based learn- ing, concept drift. 1 #12

  15. Cancer classification by gradient LDA technique using microarray gene expression data

    E-Print Network [OSTI]

    Cancer classification by gradient LDA technique using microarray gene expression data Alok Sharma a) Dimensionality reduction Cancer classification Feature selection Feature extraction a b s t r a c t Cancer techniques are applied for cancer classification, they face the small sample size (SSS) problem of gene

  16. Target-dependent Churn Classification in Microblogs Hadi Amiri and Hal Daume III

    E-Print Network [OSTI]

    Daume III, Hal

    Target-dependent Churn Classification in Microblogs Hadi Amiri and Hal Daume III Computational regression) do not perform as well on churn classification as on other text classification problems. We investigate demographic, content, and context churn indicators in microblogs and examine factors that make

  17. Statistics and Classification of the Microwave Zebra Patterns Associated with Solar Flares

    E-Print Network [OSTI]

    Tan, Baolin; Zhang, Yin; Meszarosova, H; Karlicky, M

    2013-01-01

    The microwave zebra pattern (ZP) is the most interesting, intriguing, and complex spectral structure frequently observed in solar flares. A comprehensive statistical study will certainly help us to understand the formation mechanism, which is not exactly clear now. This work presents a comprehensive statistical analysis on a big sample with 202 ZP events collected from observations at the Chinese Solar Broadband Radio Spectrometer at Huairou and the Ondrejov Radiospectrograph in Czech Republic at frequencies of 1.00 - 7.60 GHz during 2000 - 2013. After investigating the parameter properties of ZPs, such as the occurrence in flare phase, frequency range, polarization degree, duration, etc., we find that the variation of zebra stripe frequency separation with respect to frequency is the best indicator for a physical classification of ZPs. Microwave ZPs can be classified into 3 types: equidistant ZP, variable-distant ZP, and growing-distant ZP, possibly corresponding to mechanisms of Bernstein wave model, whistl...

  18. ISOLATING CONTENT AND METADATA FROM WEBLOGS USING CLASSIFICATION AND RULE-BASED APPROACHES

    SciTech Connect (OSTI)

    Marshall, Eric J.; Bell, Eric B.

    2011-09-04

    The emergence and increasing prevalence of social media, such as internet forums, weblogs (blogs), wikis, etc., has created a new opportunity to measure public opinion, attitude, and social structures. A major challenge in leveraging this information is isolating the content and metadata in weblogs, as there is no standard, universally supported, machine-readable format for presenting this information. We present two algorithms for isolating this information. The first uses web block classification, where each node in the Document Object Model (DOM) for a page is classified according to one of several pre-defined attributes from a common blog schema. The second uses a set of heuristics to select web blocks. These algorithms perform at a level suitable for initial use, validating this approach for isolating content and metadata from blogs. The resultant data serves as a starting point for analytical work on the content and substance of collections of weblog pages.

  19. The MultiRank Bootstrap Algorithm: Semi-Supervised Political Blog Classification and Ranking Using Semi-Supervised Link Classification

    E-Print Network [OSTI]

    Murphy, Robert F.

    The MultiRank Bootstrap Algorithm: Semi-Supervised Political Blog Classification and Ranking Using-supervised learning algorithm for classifying political blogs in a blog network and ranking them within predicted.6% using only 2 seed blogs. Introduction We propose a novel algorithm that both classifies political blogs

  20. KHAMIS, LAMPERT: CO-CLASSIFICATION WITH OUTPUT SPACE REGULARIZATION 1 CoConut: Co-Classification with Output

    E-Print Network [OSTI]

    Daume III, Hal

    KHAMIS, LAMPERT: CO-CLASSIFICATION WITH OUTPUT SPACE REGULARIZATION 1 CoConut: Co, otherwise independent, data samples. The method we present, named CoConut, is based on the idea of adding on the class labels. CoConut can build on existing classi- fiers without making any assumptions on how

  1. 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

  2. Editors' Corner Welcome to the second

    E-Print Network [OSTI]

    Neri, Peter

    ,policyrelevantresearchexaminingawhole rangeoflabourmarketissuesbasedprimarilyaroundfourthemes: Education,SkillsandLabourMobility InequalityintheLabourMarket HealthandWork Wage

  3. Defining work from operational principles

    E-Print Network [OSTI]

    R. Gallego; J. Eisert; H. Wilming

    2015-04-20

    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.

  4. Defining work from operational principles

    E-Print Network [OSTI]

    R. Gallego; J. Eisert; H. Wilming

    2015-09-25

    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 fulfill. We show that one work quantifier satisfying 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. The appropriate treatment of correlations turns out to be essential to obtain such second laws and we discuss their role in detail. 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 are general enough to carry over to other resource theories than quantum thermodynamics.

  5. Towards a Real-time Transient Classification Engine

    SciTech Connect (OSTI)

    Nugent, Peter E; Bloom, Josh; Starr, Dan; Butler, Nat; Nugent, Peter; Rischard, M.; Eads, D.; Poznanski, Dovi

    2008-02-22

    Temporal sampling does more than add another axis to the vector of observables. Instead, under the recognition that how objects change (and move) in time speaks directly to the physics underlying astronomical phenomena, next-generation wide-field synoptic surveys are poised to revolutionize our understanding of just about anything that goes bump in the night (which is just about everything at some level). Still, even the most ambitious surveys will require targeted spectroscopic follow-up to fill in the physical details of newly discovered transients. We are now building a new system intended to ingest and classify transient phenomena in near real-time from high-throughput imaging data streams. Described herein, the Transient Classification Project at Berkeley will be making use of classification techniques operating on"features" extracted from time series and contextual (static) information. We also highlight the need for a community adoption of a standard representation of astronomical time series data (i.e.,"VOTimeseries").

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

    SciTech Connect (OSTI)

    Ramakrishnan, Lavanya; Plale, Beth

    2010-04-05

    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.

  7. One goal of examing satellite images is to derive maps of earth Digital Image Classification Has Two Components

    E-Print Network [OSTI]

    Frank, Thomas D.

    One goal of examing satellite images is to derive maps of earth #12;Digital Image Classification Image Classification The objective of digital image classification is to partition feature space Has Two Components The training stage supervised unsupervised The classification stage parallelepiped

  8. Abstract--Classification of power quality (PQ) related voltage and current waveform disturbances is a key task for power

    E-Print Network [OSTI]

    Mamishev, Alexander

    and the classification performance of proposed system is evaluated. Fourth, a digital signal processor (DSP) based1 Abstract--Classification of power quality (PQ) related voltage and current waveform disturbances paper) presents a case study of PQ event classification with the proposed method. The classification

  9. AUTOMATED DEFECT CLASSIFICATION USING AN ARTIFICIAL NEURAL NETWORK

    SciTech Connect (OSTI)

    Chady, T.; Caryk, M. [Szczecin University of Technology, Department of Electrical Engineering (Poland); Piekarczyk, B. [Technic-Control, Szczecin (Poland)

    2009-03-03

    The automated defect classification algorithm based on artificial neural network with multilayer backpropagation structure was utilized. The selected features of flaws were used as input data. In order to train the neural network it is necessary to prepare learning data which is representative database of defects. Database preparation requires the following steps: image acquisition and pre-processing, image enhancement, defect detection and feature extraction. The real digital radiographs of welded parts of a ship were used for this purpose.

  10. THE CLASSIFICATION OF DEHN SURGERIES ON 2BRIDGE KNOTS

    E-Print Network [OSTI]

    Brittenham, Mark

    THE CLASSIFICATION OF DEHN SURGERIES ON 2­BRIDGE KNOTS Mark Brittenham and Ying­Qing Wu Abstract. We will determine whether a given surgery on a 2­bridge knot is reducible, toroidal, Seifert fibered surgeries are non­hyperbolic. Let K p=q be a 2­bridge knot associated to the rational number p=q. When p j

  11. Reconstruction-classification method for quantitative photoacoustic tomography

    E-Print Network [OSTI]

    Malone, Emma; Cox, Ben T; Arridge, Simon R

    2015-01-01

    We propose a combined reconstruction-classification method for simultaneously recovering absorption and scattering in turbid media from images of absorbed optical energy. This method exploits knowledge that optical parameters are determined by a limited number of classes to iteratively improve their estimate. Numerical experiments show that the proposed approach allows for accurate recovery of absorption and scattering in 2 and 3 dimensions, and delivers superior image quality with respect to traditional reconstruction-only approaches.

  12. CLASSIFICATION OF THE MGR WASTE TREATMENT BUILDING VENTILATION SYSTEM

    SciTech Connect (OSTI)

    S.E. Salzman

    1999-08-31

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

  13. CLASSIFICATION OF FIRST-ORDER FLEXIBLE REGULAR BICYCLE POLYGONS

    E-Print Network [OSTI]

    Connelly, Robert

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

  14. Interagency Sustainability Working Group | Department of Energy

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

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

  15. Interagency Sustainability Working Group | Department of Energy

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

    Program Areas Sustainable Buildings & Campuses Interagency Sustainability Working Group Interagency Sustainability Working Group The Interagency Sustainability Working Group...

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

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

    2001-09-28

    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.

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

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

    2001-01-03

    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.

  18. Ad Hoc Curriculum Implementation Working Group Ad Hoc Working Group

    E-Print Network [OSTI]

    Brown, Sally

    Ad Hoc Curriculum Implementation Working Group MINUTES Ad Hoc Working Group 4 December 2002 Friedman on her visit next week. ONE CURRICULUM OR TWO? Information presented by Trudeau shows that PSE and other programs cannot be merged into a single curriculum. The Faculty Senate website states

  19. UAS Detection Classification and Neutralization: Market Survey 2015

    SciTech Connect (OSTI)

    Birch, Gabriel Carisle; Griffin, John Clark; Erdman, Matthew Kelly

    2015-07-01

    The purpose of this document is to briefly frame the challenges of detecting low, slow, and small (LSS) unmanned aerial systems (UAS). The conclusion drawn from internal discussions and external reports is the following; detection of LSS UAS is a challenging problem that can- not be achieved with a single detection modality for all potential targets. Classification of LSS UAS, especially classification in the presence of background clutter (e.g., urban environment) or other non-threating targets (e.g., birds), is under-explored. Though information of avail- able technologies is sparse, many of the existing options for UAS detection appear to be in their infancy (when compared to more established ground-based air defense systems for larger and/or faster threats). Companies currently providing or developing technologies to combat the UAS safety and security problem are certainly worth investigating, however, no company has provided the statistical evidence necessary to support robust detection, identification, and/or neutralization of LSS UAS targets. The results of a market survey are included that highlights potential commercial entities that could contribute some technology that assists in the detection, classification, and neutral- ization of a LSS UAS. This survey found no clear and obvious commercial solution, though recommendations are given for further investigation of several potential systems.

  20. The cultural work of microwork

    E-Print Network [OSTI]

    Irani, L

    2015-01-01

    divisions of labor in high-technology work. Among computerservice, in historical high-technology discourses throughthe present moment of high-technology entrepreneurialism and

  1. 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...

  2. INL @ work: Nuclear Reactor Operator

    ScienceCinema (OSTI)

    Russell, Patty

    2013-05-28

    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

  3. Ajay K. Agrawal Work: Home

    E-Print Network [OSTI]

    Carver, Jeffrey C.

    · Lean premixed combustion of alternate fuels (synthetic gas, bio-fuels) · Low-emission combustion Worked with staff engineers to analyze fuel composition effects on lean premixed combustion

  4. Attachment 1 - Performance Work Statement

    National Nuclear Security Administration (NNSA)

    federal and state laws and regulations; DOE orders, standards, and recommendations; and industry standards and best practices are incorporated into the work scope. 3.2.5.4...

  5. 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

  6. February 8, 2015 16:49 World Scientific Review Volume -9in x 6in "time-series classification" page 1 Sparse Representation for Time-Series Classification

    E-Print Network [OSTI]

    Ray, Asok

    February 8, 2015 16:49 World Scientific Review Volume - 9in x 6in "time-series classification" page:49 World Scientific Review Volume - 9in x 6in "time-series classification" page 2 2 S. Bahrampour and N. M

  7. 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

  8. Improved Correlation of the Neuropathologic Classification According to Adapted World Health Organization Classification and Outcome After Radiotherapy in Patients With Atypical and Anaplastic Meningiomas

    SciTech Connect (OSTI)

    Combs, Stephanie E., E-mail: Stephanie.Combs@med.uni-heidelberg.de [Department of Radiation Oncology, University Hospital of Heidelberg, Heidelberg (Germany); Schulz-Ertner, Daniela [Radiologisches Institut, Markuskrankenhaus Frankfurt, Frankfurt am Main (Germany); Debus, Juergen [Department of Radiation Oncology, University Hospital of Heidelberg, Heidelberg (Germany); Deimling, Andreas von; Hartmann, Christian [Department of Neuropathology, Institute for Pathology, University Hospital of Heidelberg, Heidelberg (Germany); Clinical Cooperation Unit Neuropathology, German Cancer Research Center, Heidelberg (Germany)

    2011-12-01

    Purpose: To evaluate the correlation between the 1993 and 2000/2007 World Health Organization (WHO) classification with the outcome in patients with high-grade meningiomas. Patients and Methods: Between 1985 and 2004, 73 patients diagnosed with atypical or anaplastic meningiomas were treated with radiotherapy. Sections from the paraffin-embedded tumor material from 66 patients (90%) from 13 different pathology departments were re-evaluated according to the first revised WHO classification from 1993 and the revised classifications from 2000/2007. In 4 cases, the initial diagnosis meningioma was not reproducible (5%). Therefore, 62 patients with meningiomas were analyzed. Results: All 62 tumors were reclassified according to the 1993 and 2000/2007 WHO classification systems. Using the 1993 system, 7 patients were diagnosed with WHO grade I meningioma (11%), 23 with WHO grade II (37%), and 32 with WHO grade III meningioma (52%). After scoring using the 2000/2007 system, we found 17 WHO grade I meningiomas (27%), 32 WHO grade II meningiomas (52%), and 13 WHO grade III meningiomas (21%). According to the 1993 classification, the difference in overall survival was not statistically significant among the histologic subgroups (p = .96). Using the 2000/2007 WHO classifications, the difference in overall survival became significant (p = .02). Of the 62 reclassified patients 29 developed tumor progression (47%). No difference in progression-free survival was observed among the histologic subgroups (p = .44). After grading according to the 2000/2007 WHO classifications, significant differences in progression-free survival were observed among the three histologic groups (p = .005). Conclusion: The new 2000/2007 WHO classification for meningiomas showed an improved correlation between the histologic grade and outcome. This classification therefore provides a useful basis to determine the postoperative indication for radiotherapy. According to our results, a comparison of the published data for future treatment decision-making remains difficult when the histologic diagnosis has not been based on the new improved classification system.

  9. The work value of information

    E-Print Network [OSTI]

    Oscar C. O. Dahlsten; Renato Renner; Elisabeth Rieper; Vlatko Vedral

    2009-08-04

    We present quantitative relations between work and information that are valid both for finite sized and internally correlated systems as well in the thermodynamical limit. We suggest work extraction should be viewed as a game where the amount of work an agent can extract depends on how well it can guess the micro-state of the system. In general it depends both on the agent's knowledge and risk-tolerance, because the agent can bet on facts that are not certain and thereby risk failure of the work extraction. We derive strikingly simple expressions for the extractable work in the extreme cases of effectively zero- and arbitrary risk tolerance respectively, thereby enveloping all cases. Our derivation makes a connection between heat engines and the smooth entropy approach. The latter has recently extended Shannon theory to encompass finite sized and internally correlated bit strings, and our analysis points the way to an analogous extension of statistical mechanics.

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

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

    2005-01-24

    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.

  11. Radioactive Contamination Control Work Practices

    SciTech Connect (OSTI)

    WAGGONER, L.O.

    2002-10-01

    At Hanford, loose radioactive material can be found in plant systems, rooms, ventilation ducts, fuel pools, and outside radiological work facilities. Work practices used to accomplish radiological work in nuclear facilities often concern keeping radioactive contamination from spreading. This is not an easy task as the contamination activity levels can be very high and the material can be very unstable. Most of the time, the contamination is not visible, so we have to rely on surveys taken by Radiological Controls personnel to tell workers where the contamination is located and the activity levels present. The work practices used by workers are critical in controlling contamination spread, but it is impossible to document all of the work practices a worker should use. Many times, something will happen during the job that could result in a contamination spread. We rely on the workers knowledge and experience to realize when a potential spread of contamination is occurring, and take the actions necessary to prevent it from happening. It is important that a worker understand the concepts of contamination control in order to make the right decisions when work is accomplished. In facilities that work with ''fissile'' materials there is increased concern that nothing be done that increases the chance that a ''criticality accident'' might occur during work. Criticality safety personnel need to be consulted and approve contamination control practices that could increase the potential for a criticality accident. This Workshop includes a discussion of fundamental contamination control practices and new techniques used for radiological work. This is intended to be very informative and include hands-on exercises to provide the attendees with an appreciation of the methods being used to confine contamination spread.

  12. Weyl Tensor Classification in Four-dimensional Manifolds of All Signatures

    E-Print Network [OSTI]

    Carlos Batista

    2013-02-07

    It is well known that the classification of the Weyl tensor in Lorentzian manifolds of dimension four, the so called Petrov classification, was a great tool to the development of general relativity. Using the bivector approach it is shown in this article a classification for the Weyl tensor in all four-dimensional manifolds, including all signatures and the complex case, in an unified and simple way. The important Petrov classification then emerges just as a particular case in this scheme. The boost weight classification is also extended here to all signatures as well to complex manifolds. For the Weyl tensor in four dimensions it is established that this last approach produces a classification equivalent to the one generated by the bivector method.

  13. RCRA corrective action: Work plans

    SciTech Connect (OSTI)

    Not Available

    1995-02-01

    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.

  14. FY 1994 Annual Work Plan

    SciTech Connect (OSTI)

    Not Available

    1993-09-30

    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.

  15. Attachment 1 - Performance Work Statement

    National Nuclear Security Administration (NNSA)

    including TTR. Waste acceptance services will be performed at the NNSS and at waste generator sites. DE-SOL-0005982 Attachment 1 Page 1 2. Scope of Work 2.1 Requirement: The EPS...

  16. Task Conceptions and Work Arrangements 

    E-Print Network [OSTI]

    Scott, W Richard; Dornbusch, Sanford M; Evashwick, Connie J; Magnani, Leonard; Sagatun, Inger

    2015-08-12

    , University of Bergen, Norway. TECHNICAL REPORT #47 TASK CONCEPTION'S AND WORK ARRANGEMENTS For well over half a century sociologists have been engaged in the study of organizations. But until the last few years, there has been relatively little systematic...

  17. Principle of Minimal Work Fluctuations

    E-Print Network [OSTI]

    Gaoyang Xiao; Jiangbin Gong

    2015-06-03

    Understanding and manipulating work fluctuations in microscale and nanoscale systems are of both fundamental and practical interest. For example, in considering the Jarzynski equality $\\langle e^{-\\beta W} \\rangle=e^{-\\beta \\Delta F}$, a change in the fluctuations of $e^{-\\beta W}$ may impact on how fast the statistical average of $e^{-\\beta W}$ converges towards the theoretical value $e^{-\\beta \\Delta F}$, where $W$ is the work, $\\beta$ is the inverse temperature, and $\\Delta F$ is free energy difference between two equilibrium states. Motivated by our previous study aiming at the suppression of work fluctuations, here we obtain a principle of minimal work fluctuations. In brief, adiabatic processes as treated in quantum and classical adiabatic theorems yield the minimal fluctuations in $e^{-\\beta W}$. In the quantum domain, if a system initially prepared at thermal equilibrium is subject to a work protocol but isolated from a bath during the time evolution, then a quantum adiabatic process without energy level crossing (or an assisted adiabatic process reaching the same final states as in a conventional adiabatic process) yields the minimal fluctuations in $e^{-\\beta W}$, where $W$ is the quantum work defined by two energy measurements in the beginning and at the end of the process. In the classical domain where the classical work protocol is realizable by an adiabatic process, then the classical adiabatic process also yields the minimal fluctuations in $e^{-\\beta W}$. Numerical experiments based on a Landau-Zener process confirm our theory in the quantum domain, and our theory in the classical domain explains our previous numerical findings regarding the suppression of classical work fluctuations [G.~Y.~Xiao and J.~B.~Gong, Phys. Rev. E {\\bf 90}, 052132 (2014)].

  18. 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

  19. Machine Learning Approaches for High-resolution Urban Land Cover Classification: A Comparative Study

    SciTech Connect (OSTI)

    Vatsavai, Raju [ORNL] [ORNL; Chandola, Varun [ORNL] [ORNL; Cheriyadat, Anil M [ORNL] [ORNL; Bright, Eddie A [ORNL] [ORNL; Bhaduri, Budhendra L [ORNL] [ORNL; Graesser, Jordan B [ORNL] [ORNL

    2011-01-01

    The proliferation of several machine learning approaches makes it difficult to identify a suitable classification technique for analyzing high-resolution remote sensing images. In this study, ten classification techniques were compared from five broad machine learning categories. Surprisingly, the performance of simple statistical classification schemes like maximum likelihood and Logistic regression over complex and recent techniques is very close. Given that these two classifiers require little input from the user, they should still be considered for most classification tasks. Multiple classifier systems is a good choice if the resources permit.

  20. Symmetry classification of quasi-linear PDE's containing arbitrary functions

    E-Print Network [OSTI]

    Giampaolo Cicogna

    2007-02-02

    We consider the problem of performing the preliminary "symmetry classification'' of a class of quasi-linear PDE's containing one or more arbitrary functions: we provide an easy condition involving these functions in order that nontrivial Lie point symmetries be admitted, and a "geometrical'' characterization of the relevant system of equations determining these symmetries. Two detailed examples will elucidate the idea and the procedure: the first one concerns a nonlinear Laplace-type equation, the second a generalization of an equation (the Grad-Schl\\"uter-Shafranov equation) which is used in magnetohydrodynamics.

  1. Complete Classification of 1+1 Gravity Solutions

    E-Print Network [OSTI]

    T. Kloesch; T. Strobl

    1997-11-25

    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.

  2. CLASSIFICATION OF THE MGR SITE ELECTRICAL POWER SYSTEM

    SciTech Connect (OSTI)

    J.A. Ziegler

    1999-08-31

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

  3. Classification of Energy Flow Observables in Narrow Jets

    E-Print Network [OSTI]

    Guy Gur-Ari; Michele Papucci; Gilad Perez

    2011-01-14

    We present a classification of energy flow variables for highly collimated jets. Observables are constructed by taking moments of the energy flow and forming scalars of a suitable Lorentz subgroup. The jet shapes are naturally arranged in an expansion in both angular and energy resolution, allowing us to derive the natural observables for describing an N-particle jet. We classify the leading variables that characterize jets with up to 4 particles. We rediscover the familiar jet mass, angularities, and planar flow, which dominate the lowest order substructure variables. We also discover several new observables and we briefly discuss their physical interpretation.

  4. New York University -Stern School of Business Working paper CeDER-11-01

    E-Print Network [OSTI]

    Provost, Foster

    ' Classifications David Martens Faculty of Applied Economics, University of Antwerp, Belgium David, Instance Level Explanation, Text mining, Comprehensibility 1. Introduction Document classification aims for this paper, and different from many data mining applications, the document classification data representation

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

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

    2005-01-24

    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

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

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OF APPLICABLE DIRECTIVES Pursuant to theDepartmentWork Force Retention Work Group

  7. Radiological Work Planning and Procedure

    SciTech Connect (OSTI)

    KURTZ, J.E.

    2000-01-01

    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.

  8. Working memory MARK D'ESPOSITO*

    E-Print Network [OSTI]

    subjects is usually six to seven digits (Lezak, 1995). In contrast, long-term memory is prop- erly defined underpinnings of memory function. The most common theoretical classification of mem- ory distinguishes short-term and long-term memory. In clinical practice, the terms short-term and long-term memory are used imprecisely

  9. 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

  10. Automatic Fault Characterization via Abnormality-Enhanced Classification

    SciTech Connect (OSTI)

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

    2010-12-20

    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.

  11. Pattern classification and associative recall by neural networks

    SciTech Connect (OSTI)

    Chiueh, Tzi-Dar.

    1989-01-01

    The first part of this dissertation discusses a new classifier based on a multilayer feed-forward network architecture. The main idea is to map irregularly-distributed prototypes in a classification problem to codewords that are organized in some way. Then the pattern classification problem is transformed into a threshold decoding problem, which is easily solved using simple hard-limiter neurons. At first the author proposes the new model and introduce two families of good internal representation codes. Then some analyses and software simulation concerning the storage capacity of this new model are done. The results show that the new classifier is much better than the classifier based on the Hopfield model in terms of both the storage capacity and the ability to classify correlated prototypes. A general model for neural network associative memories with a feedback structure is proposed. Many existing neural network associative memories can be expressed as special cases of this general model. Among these models, there is a class of associative memories, called correlation associative memories, that are capable of storing a large number of memory patterns. If the function used in the evolution equation is monotonically nondecreasing, then a correlation associative memory can be proved to be asymptotically stable in both the synchronous and asynchronous updating modes. Of these correlation associative memories, one stands out because of its VLSI implementation feasibility and large storage capacity. This memory uses the exponentiation function in its evolution equation; hence it is called exponential correlation associative memory (ECAM).

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

    Energy Savers [EERE]

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

  13. Coiled tubing working life prediction

    SciTech Connect (OSTI)

    Wu, J.

    1995-12-31

    Failure of coiled tubing, due to the repeated bending and plastic deformation of coiled tubing on and off the reel and gooseneck, is of great concern in coiled tubing operations. This paper discusses the coiled tubing working life based on one of the coiled tubing life models published in the literature, and compares the results with other models. Certain agreements are found among these models. A group of curves is presented to illustrate the coiled tubing working life affected by coiled tubing size and wall thickness, internal pressure, yield strength, reel diameter, gooseneck radius, operation condition (corrosion) and butt-welded connection (stress concentration). The results show that coiled tubing life can be greatly increased by increasing CT wall thickness and CT strength, while the coiled tubing working life decreases under high internal pressure, corrosion, and butt-weld conditions. These curves can be easily used in estimating coiled tubing life for the field use.

  14. Long working distance interference microscope

    DOE Patents [OSTI]

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

    2004-04-13

    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.

  15. A fast, large-scale learning method for protein sequence classification

    E-Print Network [OSTI]

    Pavlovic, Vladimir

    A fast, large-scale learning method for protein sequence classification Pavel Kuksa, Pai-Hsi Huang spatial sample kernels (SSSK). The approach offers state-of-the-art accuracy for sequence classification]: Applications; I.5.2. [Pattern Recognition]: De- corresponding author Permission to make digital or hard copies

  16. Automatic classification of the acrosome status of boar spermatozoa using digital image processing and LVQ

    E-Print Network [OSTI]

    Petkov, Nicolai

    Automatic classification of the acrosome status of boar spermatozoa using digital image processing-intact (class 1) or acrosome- damaged (class 2). Such classification is important for the estimation for semen quality control in an artificial insemination center. Keywords: acrosome assessment, digital image

  17. Mutual information-based SVM-RFE for diagnostic classification of digitized mammograms

    E-Print Network [OSTI]

    Kim, Saejoon

    Mutual information-based SVM-RFE for diagnostic classification of digitized mammograms Sejong Yoon diagnosis (CADx) systems for digitized mammograms solve the problem of classification between benign Received in revised form 15 June 2009 Available online 7 July 2009 Communicated by Y. Ma Keywords: Digital

  18. HARMONY: Efficiently Mining the Best Rules for Classification Jianyong Wang and George Karypis

    E-Print Network [OSTI]

    Minnesota, University of

    HARMONY: Efficiently Mining the Best Rules for Classification Jianyong Wang and George Karypis Department of Computer Science, Digital Technology Center, & Army HPC Research Center University of Minnesota. However, a fundamental limitation with many rule-based classifiers is that they find the classification

  19. EXPLORING THE EFFECT OF RHYTHMIC STYLE CLASSIFICATION ON AUTOMATIC TEMPO ESTIMATION

    E-Print Network [OSTI]

    Plumbley, Mark

    EXPLORING THE EFFECT OF RHYTHMIC STYLE CLASSIFICATION ON AUTOMATIC TEMPO ESTIMATION Matthew E. P. Davies and Mark D. Plumbley Centre for Digital Music, Queen Mary, University of London Mile End Rd, E1 4 audio signals. We demonstrate how the use of a simple 1-NN classification method, able to determine

  20. PERCEPTUAL FEATURE SELECTION FOR SEMANTIC IMAGE CLASSIFICATION Dejan Depalov, Thrasyvoulos N. Pappas

    E-Print Network [OSTI]

    Pappas, Thrasyvoulos N.

    PERCEPTUAL FEATURE SELECTION FOR SEMANTIC IMAGE CLASSIFICATION Dejan Depalov, Thrasyvoulos N collections of digital images. The goal is to organize the contents semantically, according to mean- ingful categories. In recent papers we introduced a new approach for semantic image classification that relies

  1. Statistical Classification for Discrimination of Unexploded Ordnance: A Tutorial L. S. Beran*

    E-Print Network [OSTI]

    Oldenburg, Douglas W.

    Statistical Classification for Discrimination of Unexploded Ordnance: A Tutorial L. S. Beran* , D to approximately $16 billion. These methods require the acquisition of digital geophysical data and subsequent to discriminate between UXO and clutter. We describe classification algorithms which have been applied

  2. Image Set Classification Using Holistic Multiple Order Statistics Features and Localized Multi-Kernel Metric Learning

    E-Print Network [OSTI]

    Moulin, Pierre

    Image Set Classification Using Holistic Multiple Order Statistics Features and Localized Multi-Kernel Metric Learning Jiwen Lu1 , Gang Wang1,2 , and Pierre Moulin3 1 Advanced Digital Sciences Center viewpoints or under varying illuminations. While a number of image set classification methods have been

  3. SONG-LEVEL FEATURES AND SUPPORT VECTOR MACHINES FOR MUSIC CLASSIFICATION

    E-Print Network [OSTI]

    Ellis, Dan

    ,dpwe}@ee.columbia.edu ABSTRACT Searching and organizing growing digital music collec- tions requires automatic classificationSONG-LEVEL FEATURES AND SUPPORT VECTOR MACHINES FOR MUSIC CLASSIFICATION Michael I. Mandel improves clas- sification. Further gains are also seen when using Sup- Permission to make digital or hard

  4. SUPERVISED AND UNSUPERVISED MRF BASED 3D SCENE CLASSIFICATION IN MULTIPLE VIEW

    E-Print Network [OSTI]

    SUPERVISED AND UNSUPERVISED MRF BASED 3D SCENE CLASSIFICATION IN MULTIPLE VIEW AIRBORNE OBLIQUE Classification in 3D object space Basic idea Supervised approach Unsupervised approah Experiments: data and results Discussion CONTENTS #12; State-of-the-Art digital camera hardware and processing stimuate

  5. THE CLASSIFICATION OF DIGITAL COVERING SPACES Laurence Boxer and Ismet KARACA

    E-Print Network [OSTI]

    Boxer, Laurence

    THE CLASSIFICATION OF DIGITAL COVERING SPACES Laurence Boxer and Ismet KARACA Abstract Classification. Primary 55N35, 68R10, 68U05, 68U10. Key words and phrases. digital image, digital topology. In this paper we classify digital covering spaces using the conjugacy class corre- sponding to a digital

  6. Theoretical and Experimental Analysis of a Two-Stage System for Classification

    E-Print Network [OSTI]

    Sperduti, Alessandro

    Theoretical and Experimental Analysis of a Two-Stage System for Classification Nicola Giusti a popular approach to multicategory classification tasks: a two-stage system based on a first (global to the recognition of handwritten digits. In one system, the first classifier is a fuzzy basis functions network

  7. Tissue Classification using Cluster Features for Lesion Detection in Digital Cervigrams

    E-Print Network [OSTI]

    Huang, Xiaolei

    Tissue Classification using Cluster Features for Lesion Detection in Digital Cervigrams Xiaolei, tissue classification, lesion detection, digital cervigrams, cervical cancer 1. INTRODUCTION To make of different tissue types in digitized uterine cervix images using mean-shift clustering and support vector

  8. Exploring the effect of rhythmic style classification on automatic tempo estimation

    E-Print Network [OSTI]

    Plumbley, Mark

    Exploring the effect of rhythmic style classification on automatic tempo estimation Matthew E. P. Davies and Mark D. Plumbley Centre for Digital Music, Queen Mary, University of London Mile End Rd, E1 4 in musical audio signals. We demonstrate how the use of a simple 1-NN classification method, able

  9. Feature Set Reduction for Document Classification Problems Karel Fuka, Rudolf Hanka

    E-Print Network [OSTI]

    McCallum, Andrew

    Feature Set Reduction for Document Classification Problems Karel Fuka, Rudolf Hanka Medical With a growing amount of electronic documents available, there is a need to classify documents automatically. In growing text classification applications, important-term selection is a critical task for the classifier

  10. Automatic classification of citation function Simone Teufel Advaith Siddharthan Dan Tidhar

    E-Print Network [OSTI]

    Teufel, Simone

    Automatic classification of citation function Simone Teufel Advaith Siddharthan Dan Tidhar Natural relationship between citation func- tion and sentiment classification. 1 Introduction Why do researchers cite of science, and in- formation sciences (library sciences) for decades (Garfield, 1979; Small, 1982; White

  11. AISEC: an Artificial Immune System for E-mail Classification Andrew Secker

    E-Print Network [OSTI]

    Timmis, Jon

    of continuous learning for the purposes of two-class classification and is illustrated here on the taskAISEC: an Artificial Immune System for E-mail Classification Andrew Secker Computing Laboratory-interesting without the need for re-training. Comparisons are drawn with a naïve Bayesian classifier and it is shown

  12. English and Chinese Bilingual Topic Aspect Classification: Exploring Similarity Measures, Optimal LSA Dimensions,

    E-Print Network [OSTI]

    Oard, Doug

    analysis thus leads directly to a need for bilingual topic aspect classification as a prerequisite taskEnglish and Chinese Bilingual Topic Aspect Classification: Exploring Similarity Measures, Optimal LSA Dimensions, and Centroid Correction of Translated Training Examples Yejun Wu School of Library

  13. 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

  14. 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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université 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

  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. 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

  18. 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

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

    SciTech Connect (OSTI)

    Wiltse, J.

    1990-12-31

    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.

  20. An Automatic Hierarchical Image Classification Scheme Jing Huang S Ravi Kumar y Ramin Zabih z

    E-Print Network [OSTI]

    Zabih, Ramin

    in such a process. Image Classification. One approach to this problem is to orga- nize the digital libraryAn Automatic Hierarchical Image Classification Scheme Jing Huang S Ravi Kumar y Ramin Zabih z Department of Computer Science Cornell University Ithaca, NY 14853. Abstract Organizing images into semantic

  1. Multi-modal Classification in Digital News Libraries Ming-yu Chen

    E-Print Network [OSTI]

    Multi-modal Classification in Digital News Libraries Ming-yu Chen School of Computer Science School of Computer Science Carnegie Mellon University Pittsburgh PA, USA 15213 +1 412 268 1448 alex@cs.cmu.edu ABSTRACT This paper describes a comprehensive approach to construct robust multi-modal video classification

  2. Image Classification by a Probabilistic Model Learned from Imperfect Training Data on the Web

    E-Print Network [OSTI]

    Yanai, Keiji

    Image Classification by a Probabilistic Model Learned from Imperfect Training Data on the Web Keiji Yanai Department of Computer Science, The University of Electro-Communications 1-5-1 Chofugaoka, Chofu-shi, Tokyo, 182-8585 JAPAN yanai@cs.uec.ac.jp ABSTRACT Current approaches to image classification require

  3. Discriminating Against New Classes: One-Class versus Multi-Class Classification

    E-Print Network [OSTI]

    Frank, Eibe

    Discriminating Against New Classes: One-Class versus Multi-Class Classification Kathryn Hempstalk group of observations, in the sense of belonging to a new, previously unseen `attacker' class. One possible approach to this kind of verification problem is one-class classification, learning a description

  4. A Generic Machine-Learning Tool for Online Whole Brain Classification from fMRI

    E-Print Network [OSTI]

    Koppel, Moshe

    A Generic Machine-Learning Tool for Online Whole Brain Classification from fMRI Ori Cohen1 generic machine learning (ML) tool for real- time fMRI whole brain classification, which can be used informa- tion gain for isolating the most relevant voxels in the brain and a support vector machine

  5. 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

  6. Utilizing a Value of Information Framework to Improve Ore Collection and Classification Procedures

    E-Print Network [OSTI]

    Utilizing a Value of Information Framework to Improve Ore Collection and Classification Procedures utilizes a value of information decision framework to provide mine managers guidance regarding the purchase and subsequent classification. We utilize a value of information framework that can potentially enable a decision

  7. Incorporating Camera Metadata for Attended Region Detection and Consumer Photo Classification

    E-Print Network [OSTI]

    Fan, Jianping

    Incorporating Camera Metadata for Attended Region Detection and Consumer Photo Classification Zhong significantly differ from the pictures that are taken by a surveillance camera or a vi- sion sensor on a robot. Keywords Camera metadata, attended regions, image classification. 1. INTRODUCTION The consumer photos

  8. 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

  9. Semantic Film Preview Classification Using Low-Level Computable Features Zeeshan Rasheed Yaser Sheikh Mubarak Shah

    E-Print Network [OSTI]

    Sheikh, Yaser Ajmal

    Semantic Film Preview Classification Using Low-Level Computable Features Zeeshan Rasheed Yaser Orlando, Fl 32826, USA Abstract This paper presents a framework for the classification of feature films- mantic film interpretation, currently using low-level video features and knowledge of ubiquitous

  10. EVALUATION OF FREQUENTLY USED AUDIO FEATURES FOR CLASSIFICATION OF MUSIC INTO PERCEPTUAL CATEGORIES

    E-Print Network [OSTI]

    Widmer, Gerhard

    extra-musical) sources of information for useful music classification. 1. INTRODUCTION Music InformationEVALUATION OF FREQUENTLY USED AUDIO FEATURES FOR CLASSIFICATION OF MUSIC INTO PERCEPTUAL CATEGORIES Tim Pohle1 , Elias Pampalk1 and Gerhard Widmer1,2 1 Austrian Research Institute for Artificial

  11. PRE-FIGHT DETECTION Classification of Fighting Situations Using Heirachical AdaBoost

    E-Print Network [OSTI]

    Fisher, Bob

    PRE-FIGHT DETECTION Classification of Fighting Situations Using Heirachical AdaBoost Scott J@inf.ed.ac.uk Keywords: Fight, Pre Fight, Cuboid, AdaBoost. Abstract: Abstract: This paper investigates the detection and classification of fighting and pre and post fighting events when viewed from a video camera. Specifically we

  12. 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

  13. Automatic classification of mammography reports by BI-RADS breast tissue composition class

    E-Print Network [OSTI]

    Rubin, Daniel L.

    Automatic classification of mammography reports by BI-RADS breast tissue composition class Bethany tissue composition partially predicts breast cancer risk, classification of mammography reports by breast for using the unstructured text of mammography reports to classify them into BI-RADS breast tissue

  14. Flow Classification by Histograms or How to Go on Safari in the Internet

    E-Print Network [OSTI]

    Emilion, Richard

    Flow Classification by Histograms or How to Go on Safari in the Internet Augustin Soule , Kavé aggregated Internet traffic flows efficiently, we need to be able to categorize flows into distinct classes method for Internet flow classification. We show that our method is powerful in that it is capable

  15. Combination of Multiple Distance Measures for Protein Fold Classification Chendra Hadi Suryanto, Hideitsu Hino, Kazuhiro Fukui

    E-Print Network [OSTI]

    Fukui, Kazuhiro

    Combination of Multiple Distance Measures for Protein Fold Classification Chendra Hadi Suryanto. In this paper, we propose a new approach to protein fold classification, by introducing the concept of large demonstrate the effectiveness of the proposed method by classifying 27 fold classes of proteins in the Ding

  16. 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

  17. Multi-Cue Pedestrian Classification With Partial Occlusion Handling Markus Enzweiler1

    E-Print Network [OSTI]

    Gavrila, Dariu M.

    Multi-Cue Pedestrian Classification With Partial Occlusion Handling Markus Enzweiler1 Angela for pedestrian classification with partial occlusion handling. The framework involves a set of component sets, with both partially occluded and non-occluded pedestrians, we obtain significant performance

  18. 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-Mayagüez 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

  19. 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 of biomedical high- resolution 3D images. More concretely, it proposes a learn- ing pipeline process and refinements. KEYWORDS Machine Learning, Biomedical 3D Images, Classification, CRF (Conditional Random Fields

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

    E-Print Network [OSTI]

    Oldenburg, Carl von Ossietzky Universität

    be applied to predict the profit, market movements, and price level based on the market's historical datasetClassification with Artificial Neural Networks and Support Vector Machines: application to oil, and Oil fluorescence ABSTRACT: This paper reports on oil classification with fluorescence spectroscopy