Sample records for rankings compare find

  1. Finding approximately rank-one submatrices with the nuclear norm ...

    E-Print Network [OSTI]

    2010-11-08T23:59:59.000Z

    We propose a convex optimization formulation with the nuclear norm and l1-norm to find a large approximately rank-one submatrix of a given nonnegative matrix ...

  2. Finding approximately rank-one submatrices with the nuclear norm ...

    E-Print Network [OSTI]

    Xuan Vinh Doan

    2010-11-08T23:59:59.000Z

    Nov 8, 2010 ... Abstract: We propose a convex optimization formulation with the nuclear norm and $\\ell_1$-norm to find a large approximately rank-one ...

  3. Finding the largest low-rank clusters with Ky Fan 2-k-norm and l1-norm

    E-Print Network [OSTI]

    2014-03-21T23:59:59.000Z

    k largest approximately rank-one submatrix blocks of a given nonnegative matrix that has low-rank ... We analyze low-rank and sparsity structures of the optimal.

  4. Finding the largest low-rank clusters with Ky Fan 2-k-norm and l1-norm

    E-Print Network [OSTI]

    Xuan Vinh Doan

    2014-03-24T23:59:59.000Z

    Mar 24, 2014 ... Abstract: We propose a convex optimization formulation with the Ky Fan 2-k-norm and l1-norm to fi nd k largest approximately rank-one ...

  5. Comparative Corporate Governance: Findings from a Workshop, March 14-15, 2008

    E-Print Network [OSTI]

    Huberty, Mark; Newsome, Akasemi; Street, Alex; Ziegler, J. Nicholas

    2008-01-01T23:59:59.000Z

    of Chicago, ‘‘Corporate Governance: History withoutComparative Corporate Governance Findings from a Workshopon Comparative Corporate Governance, March 14-15, 2008

  6. Comparative ranking of 0. 1 to 10 MW(e) solar thermal electric power systems. Volume I. Summary of results. Final report

    SciTech Connect (OSTI)

    Thornton, J.P.; Brown, K.C.; Finegold, J.G.; Gresham, J.B.; Herlevich, F.A.; Kowalik, J.S.; Kriz, T.A.

    1980-08-01T23:59:59.000Z

    This report is part of a two-volume set summarizing the results of a comparative ranking of generic solar thermal concepts designed specifically for electric power generation. The original objective of the study was to project the mid-1990 cost and performance of selected generic solar thermal electric power systems for utility applications and to rank these systems by criteria that reflect their future commercial acceptance. This study considered plants with rated capacities of 1 to 10 MW(e), operating over a range of capacity factors from the no-storage case to 0.7 and above. Later, the study was extended to include systems with capacities from 0.1 to 1 MW(e), a range that is attractive to industrial and other non-utility applications. This volume summarizes the results for the full range of capacities from 0.1 to 10 MW(e). Volume II presents data on performance and cost and ranking methodology.

  7. Comparative ranking of 0. 1-10 MW/sub e/ solar thermal electric power systems. Volume II. Supporting data. Final report

    SciTech Connect (OSTI)

    Thornton, J.P.; Brown, K.C.; Finegold, J.G.; Gresham, J.B.; Herlevich, F.A.; Kriz, T.A.

    1980-07-01T23:59:59.000Z

    This report is part of a two-volume set summarizing the results of a comparative ranking of generic solar thermal concepts designed specifically for electric power generation. The original objective of the study was to project the mid-1990 cost and performance of selected generic solar thermal electric power systems for utility applications and to rank these systems by criteria that reflect their future commercial acceptance. This study considered plants with rated capacities of 1-10 MW/sub e/, operating over a range of capacity factors from the no-storage case to 0.7 and above. Later, the study was extended to include systems with capacities from 0.1 to 1 MW/sub e/, a range that is attractive to industrial and other nonutility applications. Volume I summarizes the results for the full range of capacities from 0.1 to 1.0 MW/sub e/. Volume II presents data on the performance and cost and ranking methodology.

  8. Tensor Rank.

    E-Print Network [OSTI]

    Erdtman, Elias

    2012-01-01T23:59:59.000Z

    ?? This master's thesis addresses numerical methods of computing the typical ranks of tensors over the real numbers and explores some properties of tensors over… (more)

  9. Probabilistic rank aggregation for multiple SVM ranking.

    E-Print Network [OSTI]

    Cheung, Chi Wai

    2009-01-01T23:59:59.000Z

    ??Learning to rank is a fast growing research problem in Machine Learning and Information Retrieval. Ranking Support Vector Machine (RSVM) is a widely adopted ranking… (more)

  10. Female Team Overall Name Age Rank Time Rank Time Rank Time Pace Rank Time Rank Time Pace Time

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    Female Team Overall Name Age Rank Time Rank Time Rank Time Pace Rank Time Rank Time Pace Time 1 Amy:56:27.6 Deborah Mc Eligot Deborah Storrings Male Team Overall Name Age Rank Time Rank Time Rank Time Pace Rank Time Rank Time Pace Time 1 Macon Fessenden 20 1 5:42.2 2 0:26.9 1 34:29.7 3:23 1 0:12.8 1 17:41.1 3

  11. On the Global Optimality for Linear Constrained Rank Minimization ...

    E-Print Network [OSTI]

    Xin Liu

    2014-11-10T23:59:59.000Z

    Nov 10, 2014 ... Abstract: The rank minimization with linear equality constraints has two closely related models, the low rank approximation model, that is to find ...

  12. Introduction Positive finite rank . . .

    E-Print Network [OSTI]

    Li, Chi-Kwong

    Introduction Positive finite rank . . . Positive finite rank . . . Positive finite rank . . . ¯� I qixf1981@sxu.edu.cn #12;Introduction Positive finite rank . . . Positive finite rank . . . Positive finite rank . . . ¯� I K 12 19 £ ¶w« ' 4 ò � 1 Introduction · In quantum mechanics, a quantum system

  13. PageRank of integers

    E-Print Network [OSTI]

    K. M. Frahm; A. D. Chepelianskii; D. L. Shepelyansky

    2012-05-29T23:59:59.000Z

    We build up a directed network tracing links from a given integer to its divisors and analyze the properties of the Google matrix of this network. The PageRank vector of this matrix is computed numerically and it is shown that its probability is inversely proportional to the PageRank index thus being similar to the Zipf law and the dependence established for the World Wide Web. The spectrum of the Google matrix of integers is characterized by a large gap and a relatively small number of nonzero eigenvalues. A simple semi-analytical expression for the PageRank of integers is derived that allows to find this vector for matrices of billion size. This network provides a new PageRank order of integers.

  14. PageRank model of opinion formation on Ulam networks

    E-Print Network [OSTI]

    L. Chakhmakhchyan; D. Shepelyansky

    2013-11-03T23:59:59.000Z

    We consider a PageRank model of opinion formation on Ulam networks, generated by the intermittency map and the typical Chirikov map. The Ulam networks generated by these maps have certain similarities with such scale-free networks as the World Wide Web (WWW), showing an algebraic decay of the PageRank probability. We find that the opinion formation process on Ulam networks have certain similarities but also distinct features comparing to the WWW. We attribute these distinctions to internal differences in network structure of the Ulam and WWW networks. We also analyze the process of opinion formation in the frame of generalized Sznajd model which protects opinion of small communities.

  15. Haemers' Minimum Rank.

    E-Print Network [OSTI]

    Tims, Geoff

    2013-01-01T23:59:59.000Z

    ??Haemers' minimum rank was first defined by Willem Haemers in 1979. He created this graph parameter as an upper bound for the Shannon capacity of… (more)

  16. Rank Estimation in ReducedRank Regression Efstathia Bura

    E-Print Network [OSTI]

    Bura, Efstathia

    Rank Estimation in Reduced­Rank Regression Efstathia Bura Department of Statistics, The George, University of Minnesota, St. Paul, MN 55108 E­mail: dennis@stat.umn.edu Reduced rank regression assumes that the coe#cient matrix in a multi­ variate regression model is not of full rank. The unknown rank

  17. Rank Project Name Directorate,

    E-Print Network [OSTI]

    Rank Project Name Directorate, Dept/Div and POC Cost Savings Payback (Years) Waste Reduction 1 NATIONAL LABORATORY FY02 Funded Pollution Prevention Projects 0.4 Years (~5 months) #12;

  18. Low rank matrix completion

    E-Print Network [OSTI]

    Nan, Feng, S.M. Massachusetts Institute of Technology

    2009-01-01T23:59:59.000Z

    We consider the problem of recovering a low rank matrix given a sampling of its entries. Such problems are of considerable interest in a diverse set of fields including control, system identification, statistics and signal ...

  19. Intermediate rank and property RD.

    E-Print Network [OSTI]

    Sylvain Barré; Mikael Pichot

    We introduce concepts of intermediate rank for countable groups that "interpolate" between consecutive values of the classical (integer-valued) rank. Various classes of groups are proved to have intermediate rank behaviors. We are especially interested in interpolation between rank 1 and rank 2. For instance, we construct groups "of rank 7/4". Our setting is essentially that of non positively curved spaces, where concepts of intermediate rank include polynomial rank, local rank, and mesoscopic rank. The resulting framework has interesting connections to operator algebras. We prove property RD in many cases where intermediate rank occurs. This gives a new family of groups satisfying the Baum-Connes conjecture. We prove that the reduced $C^*$-algebras of groups of rank 7/4 have stable rank 1.

  20. Rank Aggregation: Together We're Strong Frans Schalekamp Anke van Zuylen

    E-Print Network [OSTI]

    Schalekamp, Frans

    Rank Aggregation: Together We're Strong Frans Schalekamp Anke van Zuylen Abstract We consider the problem of finding a ranking of a set of elements that is "closest to" a given set of input rank- ings to the input rankings, where the Kendall-tau distance is defined as the sum over all input rankings

  1. Full Rank Rational Demand Systems

    E-Print Network [OSTI]

    LaFrance, Jeffrey T; Pope, Rulon D.

    2006-01-01T23:59:59.000Z

    as a nominal income full rank QES. R EFERENCES (A.84)S. G. Donald. “Inferring the Rank of a Matrix. ” Journal of97-102. . “A Demand System Rank Theorem. ” Econometrica 57 (

  2. SUBTRACTING A BEST RANK-1 APPROXIMATION MAY INCREASE TENSOR RANK

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    SUBTRACTING A BEST RANK-1 APPROXIMATION MAY INCREASE TENSOR RANK Alwin Stegeman Heymans Institute, fax: +33 4 92 94 28 98, pcomon@unice.fr ABSTRACT Is has been shown that a best rank-R approximation be solved by consecutively computing and substracting best rank-1 approximations. The reason

  3. Rank and directional entropy Rank and directional entropy

    E-Print Network [OSTI]

    Robinson Jr., E. Arthur (Robbie)

    Rank and directional entropy Rank and directional entropy E. Arthur (Robbie) Robinson (Joint work with Ayse Sahin) The George Washington University Talk at KIAS, Seoul, Korea. September 27, 2010 #12;Rank and directional entropy Outline 1 Introduction 2 Finite rank, Z case 3 The formal definition 4 The Z2 case 5

  4. SFP-Rank: Significant Frequent Pattern Analysis for Effective Ranking

    E-Print Network [OSTI]

    Ng, Wilfred Siu Hung

    SFP-Rank: Significant Frequent Pattern Analysis for Effective Ranking Yuanfeng Song, Wilfred Ng. Ranking documents in terms of their relevance to a given query is fundamental to many real domains has given rise to the development of many efficient ranking models. While most existing research

  5. Real Waring Rank Greg Blekherman

    E-Print Network [OSTI]

    California at Berkeley, University of

    Real Waring Rank Greg Blekherman September 29, 2012 Tensors and their Geometry in High Dimensions such decomposition exists is the rank of f . Illustrative example: 2x3 - 6xy2 = (x + -1y)3 + (x - -1y)3. Over C a generic form has unique rank, given by the Alexander-Hirschowitz theorem. Call rank r typical for forms

  6. Reordering MPI Ranks

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories » Removing nuclear waste, oneReordering MPI Ranks

  7. Rank one and finite rank perturbations - survey and open problems

    E-Print Network [OSTI]

    Constanze Liaw

    2012-05-20T23:59:59.000Z

    We survey the relationships of rank one self-adjoint and unitary perturbations as well as finite rank unitary perturbations with various branches of analysis and mathematical physics. We include the case of non-inner characteristic operator functions. For rank one perturbations and non-inner characteristic functions, we prove a representation formula for the adjoint of the Clark operator. Throughout we mention many open problems at varying levels of difficulty.

  8. Reduced Rank Models for Contingency Tables

    E-Print Network [OSTI]

    Jan de Leeuw; Peter van der Heijden

    2011-01-01T23:59:59.000Z

    Solution problem 73-14, Rank factorization of nonnegativein Great Britain Reduced rank models for contingency tablesclass analysis; Reduced rank models. 1. INTRODUCTION In

  9. Ranking forestry journals using the h-index

    E-Print Network [OSTI]

    Vanclay, Jerome K

    2007-01-01T23:59:59.000Z

    An expert ranking of forestry journals was compared with journal impact factors and h-indices computed from ISI and internet-based data. Citations reported by Google Scholar appear to offer the most efficient way to rank all journals objectively, in a manner consistent with other indicators. A ranking of 180 forestry journals is presented, on the basis of an h-index computed from data supplied by Google Scholar.

  10. Low-rank coal research

    SciTech Connect (OSTI)

    Weber, G. F.; Laudal, D. L.

    1989-01-01T23:59:59.000Z

    This work is a compilation of reports on ongoing research at the University of North Dakota. Topics include: Control Technology and Coal Preparation Research (SO{sub x}/NO{sub x} control, waste management), Advanced Research and Technology Development (turbine combustion phenomena, combustion inorganic transformation, coal/char reactivity, liquefaction reactivity of low-rank coals, gasification ash and slag characterization, fine particulate emissions), Combustion Research (fluidized bed combustion, beneficiation of low-rank coals, combustion characterization of low-rank coal fuels, diesel utilization of low-rank coals), Liquefaction Research (low-rank coal direct liquefaction), and Gasification Research (hydrogen production from low-rank coals, advanced wastewater treatment, mild gasification, color and residual COD removal from Synfuel wastewaters, Great Plains Gasification Plant, gasifier optimization).

  11. Commuting differential operators of rank 2 with polynomial coefficients

    E-Print Network [OSTI]

    Vardan Oganesyan

    2014-09-29T23:59:59.000Z

    In this paper we study self-adjoint commuting ordinary differential operators with polynomial coefficients. These operators define commutative subalgebras of the first Weyl algebra. We find new examples of commuting operators of rank 2.

  12. Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization

    E-Print Network [OSTI]

    Recht, Benjamin

    The affine rank minimization problem consists of finding a matrix of minimum rank that satisfies a given system of linear equality constraints. Such problems have appeared in the literature of a diverse set of fields ...

  13. REPRESENTATIONS OF RANK 3 ALGEBRAS .

    E-Print Network [OSTI]

    Benkart, Georgia

    2006-01-01T23:59:59.000Z

    ??The class of rank 3 algebras includes the Jordan algebra of a symmetric bilinear form, the trace zero elements of a Jordan algebra of degree… (more)

  14. Rank-Stability and Rank-Similarity of Link-Based Web Ranking Algorithms in Authority-Connected Graphs

    E-Print Network [OSTI]

    Moran, Shlomo

    Rank-Stability and Rank-Similarity of Link-Based Web Ranking Algorithms in Authority@cs.technion.ac.il) Department of Computer Science, Technion, Haifa, Israel Abstract. Web search algorithms that rank Web pages's prevailing link-based ranking algorithms rank Web pages by using the dominant eigenvector of certain matrices

  15. How to rank the top500 list?

    E-Print Network [OSTI]

    Wang, Lin-Wang

    2008-01-01T23:59:59.000Z

    HOW TO RANK THE TOP500 LIST? Lin-Wang Wang Computationalone question emerged: how to rank the computers according tothe first 10 computers. Old rank (based on speed) New rank (

  16. Tripartite entanglement transformations and tensor rank

    E-Print Network [OSTI]

    Eric Chitambar; Runyao Duan; Yaoyun Shi

    2008-05-19T23:59:59.000Z

    Understanding the nature of multipartite entanglement is a central mission of quantum information theory. To this end, we investigate the question of tripartite entanglement convertibility. We find that there exists no easy criterion to determine whether a general tripartite transformation can be performed with a nonzero success probability and in fact, the problem is NP-hard. Our results are based on the connections between multipartite entanglement and tensor rank (also called Schmidt rank), a key concept in algebraic complexity theory. Not only does this relationship allow us to characterize the general difficulty in determining possible entanglement transformations, but it also enables us to observe the previously overlooked fact that {\\em the Schmidt rank is not an additive entanglement measure}. As a result, we improve some best known transformation rates between specific tripartite entangled states. In addition, we find obtaining the most efficient algorithm for matrix multiplication to be precisely equivalent to determining the optimal rate of conversion between the Greenberger-Horne-Zeilinger state and a triangular distribution of three Einstein-Podolsky-Rosen states.

  17. On the Low Rank Solutions for Linear Matrix Inequalities Yongwei Huang

    E-Print Network [OSTI]

    Zhang, Shuzhong

    On the Low Rank Solutions for Linear Matrix Inequalities Wenbao Ai Yongwei Huang Shuzhong Zhang September 2006 Abstract In this paper we present a polynomial-time procedure to find a low rank solution for a system of Linear Matrix Inequalities (LMI). The existence of such a low rank solution was shown in Au

  18. Ranking species in mutualistic networks

    E-Print Network [OSTI]

    Domínguez-García, Virginia

    2015-01-01T23:59:59.000Z

    Understanding the architectural subtleties of ecological networks, believed to confer them enhanced stability and robustness, is a subject of outmost relevance. Mutualistic interactions have been profusely studied and their corresponding bipartite networks, such as plant-pollinator networks, have been reported to exhibit a characteristic "nested" structure. Assessing the importance of any given species in mutualistic networks is a key task when evaluating extinction risks and possible cascade effects. Inspired in a recently introduced algorithm --similar in spirit to Google's PageRank but with a built-in non-linearity-- here we propose a method which --by exploiting their nested architecture-- allows us to derive a sound ranking of species importance in mutualistic networks. This method clearly outperforms other existing ranking schemes and can become very useful for ecosystem management and biodiversity preservation, where decisions on what aspects of ecosystems to explicitly protect need to be made.

  19. POLYTOPES OF MINIMUM POSITIVE SEMIDEFINITE RANK 1 ...

    E-Print Network [OSTI]

    2012-05-23T23:59:59.000Z

    The positive semidefinite (psd) rank of a polytope is the smallest k for which the cone ... characterize those polytopes whose psd rank equals this lower bound. 1.

  20. Low-Rank Approximation for Link-Based Ranking Anonymous Author(s)

    E-Print Network [OSTI]

    de Freitas, Nando

    050 051 052 053 Low-Rank Approximation for Link-Based Ranking Anonymous Author(s) Affiliation Address email Abstract Given a graph G, ranking the importance of nodes by PageRank and the similar- ity of node pairs by SimRank are two fundamental problems in link-base ranking for many applications such as search

  1. Rank three bipartite entangled states are distillable

    E-Print Network [OSTI]

    Lin Chen; Yi-Xin Chen

    2008-03-07T23:59:59.000Z

    We prove that the bipartite entangled state of rank three is distillable. So there is no rank three bipartite bound entangled state. By using this fact, We present some families of rank four states that are distillable. We also analyze the relation between the low rank state and the Werner state.

  2. FP-Rank: An Effective Ranking Approach Based on Frequent Pattern Analysis

    E-Print Network [OSTI]

    Ng, Wilfred Siu Hung

    FP-Rank: An Effective Ranking Approach Based on Frequent Pattern Analysis Yuanfeng Song, Kenneth. Ranking documents in terms of their relevance to a given query is fundamental to many real on developing efficient ranking models. While ranking mod- els are usually trained based on given training

  3. NONNEGATIVE RANK FACTORIZATION VIA RANK REDUCTION BO DONG, MATTHEW M. LIN, AND MOODY T. CHU

    E-Print Network [OSTI]

    NONNEGATIVE RANK FACTORIZATION VIA RANK REDUCTION BO DONG, MATTHEW M. LIN, AND MOODY T. CHU possible is called the nonnegative rank of A. Computing the exact nonnegative rank and the corresponding factorization are known to be NP-hard. Even if the nonnegative rank is known a priori, no simple numerical

  4. TT--Rank: TimeRank: Time--Aware Authority RankingAware Authority Ranking KlausKlaus BerberichBerberich,, MichalisMichalis VazirgiannisVazirgiannis, Gerhard, Gerhard WeikumWeikum

    E-Print Network [OSTI]

    TT--Rank: TimeRank: Time--Aware Authority RankingAware Authority Ranking KlausKlaus BerberichObjectives BasicsBasics TT--Rank: TimeRank: Time--aware Authority Rankingaware Authority Ranking ExperimentsExperiments ConclusionsConclusions Ongoing and future workOngoing and future work #12;10/16/2004 WAW 2004: T-Rank: Time

  5. Tensor rank : some lower and upper bounds

    E-Print Network [OSTI]

    Forbes, Michael Andrew

    2011-01-01T23:59:59.000Z

    The results of Strassen [25] and Raz [19] show that good enough tensor rank lower bounds have implications for algebraic circuit/formula lower bounds. We explore tensor rank lower and upper bounds, focusing on explicit ...

  6. Split Rank of Triangle and Quadrilateral Inequalities

    E-Print Network [OSTI]

    2009-06-04T23:59:59.000Z

    Jun 4, 2009 ... facet-defining inequalities for (1) have a finite split rank? We prove that the split rank of all the facet-defining inequalities of conv(P(R, f)) is finite ...

  7. Penalty Decomposition Methods for Rank Minimization ?

    E-Print Network [OSTI]

    2010-11-22T23:59:59.000Z

    Nov 22, 2010 ... In this paper we consider general rank minimization problems with rank appearing in either objective ...... a M. The similar phenomenon as above can be observed in Table 3 for FPCA. We also ..... tion to system identification.

  8. Commuting higher rank ordinary differential operators

    E-Print Network [OSTI]

    Andrey E. Mironov

    2012-04-10T23:59:59.000Z

    In this paper we discuss some results related to commuting ordinary differential operators of rank greater than one.

  9. Rank Modulation with Multiplicity Anxiao (Andrew) Jiang

    E-Print Network [OSTI]

    Jiang, Anxiao "Andrew"

    Rank Modulation with Multiplicity Anxiao (Andrew) Jiang Computer Science and Eng. Dept. Texas A&M University College Station, TX 77843 yuewang@cse.tamu.edu Abstract--Rank modulation is a scheme that uses-change memories, etc. An extension of rank modulation is studied in this paper, where multiple cells can have

  10. EQUATIONS FOR LOWER BOUNDS ON BORDER RANK

    E-Print Network [OSTI]

    Hauenstein, Jonathan

    EQUATIONS FOR LOWER BOUNDS ON BORDER RANK JONATHAN D. HAUENSTEIN, CHRISTIAN IKENMEYER, AND J of bilinear maps of border rank at most r. We apply these methods to several cases including the case r = 6 multiplication operator M2, which gives a new proof that the border rank of the multiplication of 2 Ă? 2 matrices

  11. MORLEY RANK IN HOMOGENEOUS MODELS ALEXEI KOLESNIKOV

    E-Print Network [OSTI]

    Kolesnikov, Alexei

    MORLEY RANK IN HOMOGENEOUS MODELS ALEXEI KOLESNIKOV AND G.V.N.G. KRISHNAMURTHI Abstract. We define an appropriate analog of the Morley rank in a totally transcendental homogeneous model with type diagram D. We-extensions of rank . This is surprising, because the proof of the statement in the first-order case depends heavily

  12. Lie rank in groups of finite Morley rank with solvable local subgroups

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Lie rank in groups of finite Morley rank with solvable local subgroups Adrien Deloro and ´Eric Jaligot August 5, 2013 Abstract We prove a general dichotomy theorem for groups of finite Morley rank with solvable local subgroups and of Pr¨ufer p-rank at least 2, leading either to some p-strong embedding

  13. Fixed Rank Kriging A Fixed Rank Prediction Algorithm for Massive Spatial

    E-Print Network [OSTI]

    Gilbes, Fernando

    Fixed Rank Kriging A Fixed Rank Prediction Algorithm for Massive Spatial Data with Application, 2010 1 / 24 #12;Fixed Rank Kriging Outline Spatial model, assumptions and some implementation challenges. Summary of Fixed Rank Kriging by Cressie and Johannesson (2008). Propose algorithm to estimate

  14. Recovery of Low Rank Matrices Under Affine Constraints via a Smoothed Rank Function

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Recovery of Low Rank Matrices Under Affine Constraints via a Smoothed Rank Function Mohammadreza Jutten, Fellow, IEEE Abstract--In this paper, the problem of matrix rank mini- mization under affine constraints is addressed. The state-of-the- art algorithms can recover matrices with a rank much less than

  15. MEAN DIMENSION, MEAN RANK, AND VON NEUMANN-L UCK RANK

    E-Print Network [OSTI]

    Li, Hanfeng

    MEAN DIMENSION, MEAN RANK, AND VON NEUMANN-L ¨UCK RANK HANFENG LI AND BINGBING LIANG Abstract. We introduce an invariant, called mean rank, for any module M of the integral group ring of a discrete amenable group , as an analogue of the rank of an abelian group. It is shown that the mean dimension

  16. RANK-ONE TENSOR PROPERTY FROM RANK-ONE BALANCED-UNFOLDINGS AND APPLICATIONS

    E-Print Network [OSTI]

    RANK-ONE TENSOR PROPERTY FROM RANK-ONE BALANCED-UNFOLDINGS AND APPLICATIONS YUNING YANG , YUNLONG FENG , XIAOLIN HUANG , AND JOHAN A. K. SUYKENS Abstract. This paper explores the rank properties X, if log2(d) of the balanced-unfolding matrices of X are rank-1, then the tensor itself must

  17. Find 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4:EpitaxialtransatlanticUnified| Department ofFind R&D

  18. Find Standards

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4:EpitaxialtransatlanticUnified| Department ofFind R&DStandards

  19. Coal rank trends in eastern Kentucky

    SciTech Connect (OSTI)

    Hower, J.C.; Trinkle, E.J.

    1984-12-01T23:59:59.000Z

    Examination of coal rank (by vitrinite maximum reflectance) for eastern Kentucky coals has revealed several regional trends. Coal rank varies from high volatile C (0.5% R/sub max/) to medium volatile bituminous (1.1% R/sub max/), and generally increases to the southeast. One east-west-trending rank high and at least four north-south-trending rank highs interrupt the regional increase. The east-west-trending rank high is associated with the Kentucky River faults in northeastern Kentucky. It is the only rank high clearly associated with a fault zone. The four north-south-trending rank highs are parallel with portions of major tectonic features such as the Eastern Kentucky syncline. Overall, though, the association of north-south-trending rank highs with tectonic expression is not as marked as that with the anomaly associated with the Kentucky River faults. It is possible that the rank trends are related to basement features with subdued surface expression. Rank generally increases with depth, and regional trends observed in one coal are also seen in overlying and underlying coals. The cause of the regional southeastward increase in rank is likely to be the combined influence of greater depth of burial and proximity to late Paleozoic orogenic activity. The anomalous trends could be due to increased depth of burial, but are more likely to have resulted from tectonic activity along faults and basement discontinuities. The thermal disturbances necessary to increase the coal rank need not have been great, perhaps on the order of 10-20/sup 0/C (18-36/sup 0/F) above the metamorphic temperatures of the lower rank coals.

  20. Fitting Reduced Rank Regression Models by Alternating Maximum Likelihoods

    E-Print Network [OSTI]

    Jan de Leeuw

    2011-01-01T23:59:59.000Z

    Fitting longitudinal reduced rank regression models byA J . (1965). Reduced-rank regression for the multivariateFITTING LONGITUDINAL REDUCED RANK REGRESSION MODELS BY

  1. Polytopes of Minimum Positive Semidefinite Rank

    E-Print Network [OSTI]

    Joăo Gouveia

    2012-05-29T23:59:59.000Z

    May 29, 2012 ... Abstract: The positive semidefinite (psd) rank of a polytope is the smallest $k$ for which the cone of $k \\times k$ real symmetric psd matrices ...

  2. Grothendieck inequalities for semidefinite programs with rank ...

    E-Print Network [OSTI]

    Jop Briet

    2010-11-08T23:59:59.000Z

    Nov 8, 2010 ... Grothendieck inequalities for semidefinite programs with rank constraint. Jop Briet(j.briet ***at*** cwi.nl) Fernando M. de Oliveira ...

  3. Higher rank Killing tensors and Calogero model

    E-Print Network [OSTI]

    Anton Galajinsky

    2012-03-10T23:59:59.000Z

    (n+2)-dimensional Lorentzian spacetime which admits irreducible Killing tensors of rank up to n is constructed by applying the Eisenhart lift to the Calogero model.

  4. Provable Low-Rank Tensor Recovery

    E-Print Network [OSTI]

    2014-02-26T23:59:59.000Z

    Feb 26, 2014 ... ?Department of Industrial Engineering and Operations Research, ... rank, which here we refer to as the sum-of-nuclear-norms (SNN), has been ...

  5. Top for economics Rank Business School

    E-Print Network [OSTI]

    Lin, Xiaodong

    Top for economics Rank Business School 1 University of Chicago: Booth Rutgers Business School University of Toronto: Rotman Cranfield School of Management University of California at Irvine: Merage University of Rochester: Simon Columbia/London Business School 2 3 4 5 6 7 8 9 10 Rank Business School 1

  6. Rank-Sparsity Incoherence for Matrix Decomposition

    E-Print Network [OSTI]

    Chandrasekaran, Venkat

    Suppose we are given a matrix that is formed by adding an unknown sparse matrix to an unknown low-rank matrix. Our goal is to decompose the given matrix into its sparse and low-rank components. Such a problem arises in a ...

  7. Universal Emergence of PageRank

    E-Print Network [OSTI]

    K. M. Frahm; B. Georgeot; D. L. Shepelyansky

    2011-10-19T23:59:59.000Z

    The PageRank algorithm enables to rank the nodes of a network through a specific eigenvector of the Google matrix, using a damping parameter $\\alpha \\in ]0,1[$. Using extensive numerical simulations of large web networks, with a special accent on British University networks, we determine numerically and analytically the universal features of PageRank vector at its emergence when $\\alpha \\rightarrow 1$. The whole network can be divided into a core part and a group of invariant subspaces. For $ \\alpha \\rightarrow 1$ the PageRank converges to a universal power law distribution on the invariant subspaces whose size distribution also follows a universal power law. The convergence of PageRank at $ \\alpha \\rightarrow 1$ is controlled by eigenvalues of the core part of the Google matrix which are extremely close to unity leading to large relaxation times as for example in spin glasses.

  8. Symmetric Informationally Complete Measurements of Arbitrary Rank

    E-Print Network [OSTI]

    D. M. Appleby

    2006-11-27T23:59:59.000Z

    There has been much interest in so-called SIC-POVMs: rank 1 symmetric informationally complete positive operator valued measures. In this paper we discuss the larger class of POVMs which are symmetric and informationally complete but not necessarily rank 1. This class of POVMs is of some independent interest. In particular it includes a POVM which is closely related to the discrete Wigner function. However, it is interesting mainly because of the light it casts on the problem of constructing rank 1 symmetric informationally complete POVMs. In this connection we derive an extremal condition alternative to the one derived by Renes et al.

  9. Rank Reduction for the Local Consistency Problem

    E-Print Network [OSTI]

    Jianxin Chen; Zhengfeng Ji; Alexander Klyachko; David W. Kribs; Bei Zeng

    2012-02-09T23:59:59.000Z

    We address the problem of how simple a solution can be for a given quantum local consistency instance. More specifically, we investigate how small the rank of the global density operator can be if the local constraints are known to be compatible. We prove that any compatible local density operators can be satisfied by a low rank global density operator. Then we study both fermionic and bosonic versions of the N-representability problem as applications. After applying the channel-state duality, we prove that any compatible local channels can be obtained through a global quantum channel with small Kraus rank.

  10. Rank Distance Bicodes and their Generalization

    E-Print Network [OSTI]

    W. B. Vasantha Kandasamy; Florentin Smarandache; N. Suresh Babu; R. S. Selvaraj

    2010-04-16T23:59:59.000Z

    This book has four chapters. In chapter one we just recall the notion of RD codes, MRD codes, circulant rank codes and constant rank codes and describe their properties. In chapter two we introduce few new classes of codes and study some of their properties. In this chapter we introduce the notion of fuzzy RD codes and fuzzy RD bicodes. Rank distance m-codes are introduced in chapter three and the property of m-covering radius is analysed. Chapter four indicates some applications of these new classes of codes.

  11. Low-rank coal oil agglomeration

    DOE Patents [OSTI]

    Knudson, Curtis L. (Grand Forks, ND); Timpe, Ronald C. (Grand Forks, ND)

    1991-01-01T23:59:59.000Z

    A low-rank coal oil agglomeration process. High mineral content, a high ash content subbituminous coals are effectively agglomerated with a bridging oil which is partially water soluble and capable of entering the pore structure, and usually coal derived.

  12. Minimum rank of graphs that allow loops.

    E-Print Network [OSTI]

    Mikkelson, Rana C.

    2008-01-01T23:59:59.000Z

    ??The traditional "minimum rank problem" for simple graphs associates a set of symmetric matrices, the zero-nonzero pattern of whose off-diagonal entries are described by the… (more)

  13. Maximal rank of extremal marginal tracial states

    E-Print Network [OSTI]

    Hiromichi Ohno

    2009-11-18T23:59:59.000Z

    States on coupled quantum system whose restrictions to each subsystems are normalized traces are called marginal tracial states. We investigate extremal marginal tracial states and maximal rank of such states. Diagonal marginal tracial states are also considered.

  14. ON THE BEST RANK-1 AND RANK-(R1, R2, . . . , RN ) APPROXIMATION OF HIGHER-ORDER TENSORS

    E-Print Network [OSTI]

    ON THE BEST RANK-1 AND RANK-(R1, R2, . . . , RN ) APPROXIMATION OF HIGHER-ORDER TENSORS LIEVEN DE generalization of the best rank-R approximation problem for matrices, namely, the approximation of a given higher-order tensor, in an optimal least- squares sense, by a tensor that has prespecified column rank value, row rank

  15. Low-Rank Regularization for Learning Gene Expression Programs

    E-Print Network [OSTI]

    Ye, Guibo; Tang, Mengfan; Cai, Jian-Feng; Nie, Qing; Xie, Xiaohui; Muldoon, Mark R

    2013-01-01T23:59:59.000Z

    8 | Issue 12 | e82146 Low-Rank for Learning Gene Expressiona convex relaxation of the rank of W [22,23]. Since nuclearcall (3) the linear low-rank model in the following. The

  16. Degrees of Freedom of Rank-Deficient MIMO Interference Networks

    E-Print Network [OSTI]

    Krishnamurthy, Sundar Rajan; Ramakrishnan, Abinesh; Jafar, Syed Ali

    2015-01-01T23:59:59.000Z

    X Kc | Y 1 ) + K 2 Figure rank interference n Outer n bound:the degrees of freedom of rank deficient interference chan-of 2-user and 3-user rank-deficient mimo interference

  17. Signed-Rank Tests for Censored Matched Pairs

    E-Print Network [OSTI]

    Dorota M. Dabrowska

    2011-01-01T23:59:59.000Z

    Z . (1967), The Theory of Rank Tests, New York: AcademicT. R. (1982), " A Class of Rank Test Procedures for Censored1983), " A Modified Wilcoxon Rank Sum Test for Paired Data,"

  18. Ranking Outlier Nodes in Subspaces of Attributed Graphs

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    . Our graph outlier ranking (GOutRank) introduces scoring functions based on these selected subgraphs by looking at the most promising objects first. They 1http://www.ipd.kit.edu/~muellere/GOutRank/ allow users

  19. The Constant Rank Condition and Second Order Constraint ...

    E-Print Network [OSTI]

    2009-11-13T23:59:59.000Z

    Nov 13, 2009 ... The Constant Rank condition for feasible points of nonlinear ... stant Rank condition is, in addition, a second order constraint qualification.

  20. On Low Rank Matrix Approximations with Applications to Synthesis ...

    E-Print Network [OSTI]

    2011-05-23T23:59:59.000Z

    a given matrix by a matrix of specified (low rank) in the uniform norm. ... Note that in the existing literature on low rank approximation of matrices the empha-.

  1. The generating rank of the symplectic grassmannians

    E-Print Network [OSTI]

    Blok, Rieuwert J.

    . Blok Department of Mathematics and Statistics Bowling Green State University Bowling Green, OH 43403 U and Statistics Bowling Green State University Bowling Green, OH 43403 Tel.: +1 (419) 372-7455 FAX : +1 (419) 372, the generating rank of a geometry equals the dimension of the universal embedding of that geometry, if it exists

  2. Low-rank coal oil agglomeration

    DOE Patents [OSTI]

    Knudson, C.L.; Timpe, R.C.

    1991-07-16T23:59:59.000Z

    A low-rank coal oil agglomeration process is described. High mineral content, a high ash content subbituminous coals are effectively agglomerated with a bridging oil which is partially water soluble and capable of entering the pore structure, and is usually coal-derived.

  3. The Abstract Domain of Segmented Ranking Functions

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    function by abstract in- terpretation. We build our work on their proposed general framework, and we designThe Abstract Domain of Segmented Ranking Functions Caterina Urban ´Ecole Normale Sup´erieure - CNRS - INRIA, Paris, France urban@di.ens.fr Abstract. We present a parameterized abstract domain for proving

  4. Rank Project Name Directorate, Dept/Div

    E-Print Network [OSTI]

    Devalver High Energy Nuclear Physics, CAD (M. Van Essendelft) $953 $4,000.00 0.24 20 cylinders (haz waste,000 $830.00 7.23 6 liters of industrial waste 8 Disposal of #6 Fuel Oil * EENS (Yousif Celebi $500 $4Rank Project Name Directorate, Dept/Div and POC Cost Savings Payback (Years) Waste Reduction 1

  5. Rank Project Name Directorate, Dept/Div

    E-Print Network [OSTI]

    waste 2 Motion Lights Energy Sciences & Technology, EENS (Dave Elling) $3,200 $7,000.00 0.46 Energy Light Source, NSLS (John Aloi) $1,500 $5,200.00 0.29 200 gallons corrosive waste 6 Electronic RecyclingRank Project Name Directorate, Dept/Div and POC Cost Savings Payback (Years) Waste Reduction 1

  6. Rank Synopses for Efficient Time Travel on the Web Graph

    E-Print Network [OSTI]

    Rank Synopses for Efficient Time Travel on the Web Graph Klaus Berberich, Srikanta Bedathur}@mpi-inf.mpg.de ProblemProblem SolutionSolution ExperimentsExperiments Step 1: PageRank Normalization We normalize PageRank scores computed on Gt ( Vt, Et ) (i.e., the graph at time t ) dividing by the lower bound PageRank score

  7. A RANK FORMULA FOR ACYLINDRICAL SPLITTINGS RICHARD WEIDMANN

    E-Print Network [OSTI]

    Weidmann, Richard

    A RANK FORMULA FOR ACYLINDRICAL SPLITTINGS RICHARD WEIDMANN Dedicated to Michel Boileau on the occasion of his 60th birthday Abstract. We prove a rank formula for arbitrary acylindrical graphs of groups in the rank of its fundamental group. Introduction Grushko's Theorem states that the rank of groups

  8. INTERMEDIATE RANK AND PROPERTY RD SYLVAIN BARRE AND MIKAEL PICHOT

    E-Print Network [OSTI]

    Barré, Sylvain

    INTERMEDIATE RANK AND PROPERTY RD SYLVAIN BARR´E AND MIKA¨EL PICHOT Abstract. We introduce concepts of intermediate rank for countable groups that "interpolate" between consecutive values of the classical (integer-valued) rank. Var- ious classes of groups are proved to have intermediate rank behaviors. We are especially

  9. Multi-Rank Adaptive Beamforming with Linear and Quadratic Constraints

    E-Print Network [OSTI]

    Pezeshki, Ali

    Multi-Rank Adaptive Beamforming with Linear and Quadratic Constraints Henry Cox, Ali Pezeshki the signal is either rank-one of unknown orientation in a subspace or multi-rank. Only signal. The unifying component is the multi-rank MVDR beamformer followed by post processing. Detection statistics

  10. A CHARACTERIZATION OF HOMOGENEOUS SPACES WITH POSITIVE HYPERBOLIC RANK

    E-Print Network [OSTI]

    Connell, Christopher

    A CHARACTERIZATION OF HOMOGENEOUS SPACES WITH POSITIVE HYPERBOLIC RANK CHRISTOPHER CONNELL Abstract to be a rank one symmetric space. In particular, we show rigidity if such a space has positive hyperbolic rank greater than equal to that of its "abelian direction." The notion of hyperbolic-rank extends the notion

  11. A NOTION OF RANK FOR RIGHT CONGRUENCES ON VICTORIA GOULD

    E-Print Network [OSTI]

    Gould, Victoria

    A NOTION OF RANK FOR RIGHT CONGRUENCES ON SEMIGROUPS VICTORIA GOULD Abstract. We introduce a new notion of rank for a semigroup S. The rank is associated with pairs (I ; #26;), where #26; is a right congruence and I is a #26;-saturated right ideal. We allow I to be the empty set; in this case the rank

  12. Web Page Rank Prediction with Markov Models Michalis Vazirgiannis

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Web Page Rank Prediction with Markov Models Michalis Vazirgiannis INRIA Futurs Orsay, France a method for predicting the rank- ing position of a Web page. Assuming a set of successive past top-k rankings, we study the evolution of Web pages in terms of ranking trend sequences used for Markov Models

  13. Differentiability properties of Rank Linear Utilities G. Carlier

    E-Print Network [OSTI]

    Carlier, Guillaume

    Differentiability properties of Rank Linear Utilities G. Carlier April 8, 2006 Abstract We study generalize the rank dependent expected utility and are called rank-linear utilities in deci- sion theory results generalize those obtained for the rank dependent expected utility in [1]. The author wishes

  14. A system using implicit feedback and Top Ranking Sentences to help users find relevant web documents

    E-Print Network [OSTI]

    White, R.W.

    White,R.W. Jose,J.M. Ruthven,I.G. 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2002) : Tampere, Finland, 11-15 August 2002 ACM Press

  15. A RANK FOR RIGHT CONGRUENCES ON INVERSE VICTORIA GOULD

    E-Print Network [OSTI]

    Gould, Victoria

    A RANK FOR RIGHT CONGRUENCES ON INVERSE SEMIGROUPS VICTORIA GOULD Abstract. The sandwich rank, or S­rank, of a right congruence # on a semi­ group S is the Cantor­Bendixson rank of # in the lattice of right congruences RC of S with respect to a topology we call the finite type topology. If ev­ ery # # RC possesses S­rank

  16. not changed might have its name changed solely owing to a shift in rank. This is especially unfortunate because rank

    E-Print Network [OSTI]

    Poff, N. LeRoy

    not changed might have its name changed solely owing to a shift in rank. This is especially unfortunate because rank assignment is subjective and of dubious value (e.g. [2]). Rank-based nomenclature of introducing cumbersome new categories (Parvorder, Cohort, Infraclass, etc.) and/or causing a cascade of rank

  17. Breast Cancer Research Finding Answers. Finding Cures.

    E-Print Network [OSTI]

    Kowalczykowski, Stephen C.

    Breast Cancer Research Finding Answers. Finding Cures. Thanks to improvements in treatment and early detection, more and more women are surviving breast cancer. In fact, the five-year survival rate for women with breast cancer today is 90%, up from only 63% in the 1960s. While progress has clearly been

  18. Nuclear Facility Risk Ranking | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProvedDecemberInitiativesNational Environmental PolicySky |NewsFacility Risk Ranking

  19. Quantifier rank spectrum of L-infinity-omega

    E-Print Network [OSTI]

    Ackerman, Nathaniel Leedom

    2006-01-01T23:59:59.000Z

    In Part A we will study the quantifier rank spectrum of sentences of L!1,!. We will show that there are scattered sentences with models of arbitrarily high but bounded quantifier rank. We will also consider the case of ...

  20. Lower bounds for the Chvátal-Gomory rank

    E-Print Network [OSTI]

    Sebastian Pokutta, Gautier Stauffer

    2011-03-16T23:59:59.000Z

    bounds on the Chvátal-Gomory rank and develop a simpler method. We provide new families of polytopes in the 0/1 cube with high rank and we describe a ...

  1. Graded Relevance Ranking for Synonym Discovery Andrew Yates

    E-Print Network [OSTI]

    the pointwise mutual information (PMI) between the 16-term windows that a given pair of terms appear in. When used to rank synonym candidates, this method ranks them by the PMI between a target term and each

  2. Rank-Based Estimation for GARCH Processes Beth Andrews

    E-Print Network [OSTI]

    Andrews, Beth

    Rank-Based Estimation for GARCH Processes Beth Andrews Northwestern University September 7, 2011 Abstract We consider a rank-based technique for estimating GARCH model parameters, some of which are scale transformations of conventional GARCH parameters. The estimators are obtained by minimizing a rank-based residual

  3. Development of scientific and geopolitical criteria to rank geoengineering schemes

    E-Print Network [OSTI]

    Polz, Martin

    Development of scientific and geopolitical criteria to rank geoengineering schemes · My background;Proliferation of schemes #12;>15 Years of press coverage on Geo-engineering but no science SO Do we know enough to rank schemes? #12;Ranking geo-engineering schemes Boyd (2008) Nature Geosciences #12;Rationale

  4. Learning to Rank and Quadratic Assignment Thomas Mensink

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Learning to Rank and Quadratic Assignment Thomas Mensink TVPA - XRCE & LEAR - INRIA Grenoble NICTA Sydney, Australia Abstract In this paper we show that the optimization of several ranking of quadratic assignment problems. Both the task of test-time predic- tion of the best ranking and the task

  5. REDUCED RANK DETECTION SCHEMES FOR DS-CDMA COMMUNICATION SYSTEMS

    E-Print Network [OSTI]

    Southern California, University of

    REDUCED RANK DETECTION SCHEMES FOR DS-CDMA COMMUNICATION SYSTEMS Wanshi Chen Ericsson Wireless 90089­2565 e-mail: ubli@usc.edu Abstract -- Several reduced-rank detection schemes for direct- sequence to the multistage linear receiver scheme based on the Cayley Hamilton theorem. The analysis of the reduced rank

  6. Rank/sparsity minimization and latent variable graphical model selection

    E-Print Network [OSTI]

    Parrilo, Pablo A.

    Rank/sparsity minimization and latent variable graphical model selection Pablo A. Parrilo · Complication: latent variables · Rank/sparsity decomposition, and generalizations · Convex optimization cond. on other vars. 1 3 2 4 Sparse Low-rank Concentration matrix #12;Proposal for modeling · Decompose

  7. Dominance rank relationships among wild female African elephants, Loxodonta africana

    E-Print Network [OSTI]

    Alberts, Susan C

    Dominance rank relationships among wild female African elephants, Loxodonta africana ELIZABETH A-differentiated social relationships; however, little is known about the nature of their dominance rank relationships results best support the third outcome: dominance rank relationships were transi- tive within families

  8. DEMONSTRATION RANK VIA THE SVD AND ROW ECHELON FORM

    E-Print Network [OSTI]

    Foster, Leslie

    OUTLINES DEMONSTRATION RANK VIA THE SVD AND ROW ECHELON FORM TWO TWISTS AND A TEST NUMERICAL RANK VIA THE SVD AND ROW ECHELON FORM TWO TWISTS AND A TEST NUMERICAL RESULTS CONCLUSIONS GOAL rank construct a basis for the null space. LESLIE FOSTER MATHEMATICS SAN JOSE STATE UNIVERSITY FOSTER

  9. Full-rank Tilings of F 2 Do Not Exist

    E-Print Network [OSTI]

    Goldberg, Bennett

    Full-rank Tilings of F 8 2 Do Not Exist #3; Ari Trachtenberg y Alexander Vardy z February 3, 2003 Abstract We show that there are no full-rank tilings of F 8 2 , using a carefully designed exhaustive search. This solves an open problem posed in [5] and implies that a full-rank perfect binary code

  10. Borovik-Poizat rank and stability Jeffrey Burdges*

    E-Print Network [OSTI]

    Cherlin, Gregory

    Borovik-Poizat rank and stability Jeffrey Burdges Borovik proposed an axiomatic treatment of Morley rank in groups, later modi- fied by Poizat, who showed that in the context of groups the resulting notion of rank provides a characterization of groups of finite Morley

  11. Panel 1 - comparative evaluation of deposition technologies

    SciTech Connect (OSTI)

    Fenske, G.R.; Stodolsky, F. [Argonne National Lab., IL (United States); Benson, D.K.; Pitts, R.J. [National Renewable Energy Lab., Golden, CO (United States); Bhat, D.G. [GTE Valenite Corp., Troy, MI (United States); Yulin Chen [Allison Gas Turbine Division, GM, Indianapolis, IN (United States); Gat, R.; Sunkara, M.K. [Case Western Reserve Univ., Cleveland, OH (United States); Kelly, M. [Stanford Univ., CA (United States); Lawler, J.E. [Univ. of Wisconsin, Madison (United States); Nagle, D.C. [Martin Marietta Labs., Baltimore, MD (United States); Outka, D. [Sandia National Laboratories, Livermore, CA (United States); Revankar, G.S. [Deere & Co., Moline, IL (United States); Subramaniam, V.V. [Ohio State Univ., Columbus (United States); Wilbur, P.J. [Colorado State Univ., Fort Collins (United States); Mingshow Wong [Northwestern Univ., Evanston, IL (United States); Woolam, W.E. [Southwest Research Inst., Arlington, VA (United States)

    1993-01-01T23:59:59.000Z

    This working group attempted to evaluate/compare the different types of deposition techniques currently under investigation for depositing diamond and diamond-like carbon films. A table lists the broad types of techniques that were considered for depositing diamond and diamond-like carbon films. After some discussion, it was agreed that any evaluation of the various techniques would be dependent on the end application. Thus the next action was to list the different areas where diamond and DLC films could find applications in transportation. These application areas are listed in a table. The table intentionally does not go into great detail on applications because that subject is dealt with specifically by Panel No. 4 - Applications To Transportation. The next action concentrated on identifying critical issues or limitations that need to be considered in evaluating the different processes. An attempt was then made to rank different broad categories of deposition techniques currently available or under development based on the four application areas and the limitations. These rankings/evaluations are given for diamond and DLC techniques. Finally, the working group tried to identify critical development and research issues that need to be incorporated into developing a long-term program that focuses on diamond/DLC coatings for transportation needs. 5 tabs.

  12. Intro to Least Squares Problems (LSQ) Full rank, m = n Full rank, m>n

    E-Print Network [OSTI]

    2014-10-19T23:59:59.000Z

    Oct 19, 2014 ... doesn't have an exact solution – maybe A isn't full rank, or m > n, or for whatever reason b isn't in the column-space of A, i.e. b /? col(A).

  13. Large rank Wilson loops in N=2 superconformal QCD at strong coupling

    E-Print Network [OSTI]

    Benedict Fraser; S. Prem Kumar

    2012-02-28T23:59:59.000Z

    We compute the expectation values of circular Wilson loops in large representations at strong coupling, in the large-N limit of the N=2 superconformal theory with SU(N) gauge group and 2N hypermultiplets. Employing Pestun's matrix integral, we focus attention on symmetric and antisymmetric representations with ranks of order N. We find that large rank antisymmetric loops are independent of the coupling at strong 't Hooft coupling while symmetric Wilson loops grow exponentially with it. Symmetric loops display a non-analyticity as a function of the rank, characterized by the splitting of a single matrix model eigenvalue from the continuum, bearing close resemblance to Bose-Einstein condensation in an ideal gas. We discuss implications of these for a putative large-N string dual. The method of calculation we adopt makes explicit the connection to Fermi and Bose gas descriptions and also suggests a tantalizing connection of the above system to a multichannel Kondo model.

  14. Platts top 250 global energy company rankings

    SciTech Connect (OSTI)

    Mullen, T.; Leonard, M.

    2005-12-01T23:59:59.000Z

    Revenues and profits for many firms surged last year over previous years. The turnaround from last year's global survey is dramatic. Asset- and revenue-rich integrated oil and gas companies dominate the top rungs of the 2005 Platts Top 250 Global Energy Company Rankings. The following industry segments were analyzed: diversified utilities; exploration and production; electric utilities; gas utilities; integrated oil and gas companies; refining and marketing; independent power producers; coal and consumable fuel companies and storage and transfer companies; The total combined revenue for the coal and consumable fuels sector was $74.7 billion. Leaders in this sector were: Yanzhou Coal Mining Co., CONSOl Energy Inc., Peabody Energy Corp., PT Bumi Resources Tbk, Cameco Corp., and Arch Coal. 14 tabs.

  15. Tensor Rank and Stochastic Entanglement Catalysis for Multipartite Pure States

    E-Print Network [OSTI]

    Lin Chen; Eric Chitambar; Runyao Duan; Zhengfeng Ji; Andreas Winter

    2010-11-10T23:59:59.000Z

    The tensor rank (also known as generalized Schmidt rank) of multipartite pure states plays an important role in the study of entanglement classifications and transformations. We employ powerful tools from the theory of homogeneous polynomials to investigate the tensor rank of symmetric states such as the tripartite state $\\ket{W_3}=\\tfrac{1}{\\sqrt{3}}(\\ket{100}+\\ket{010}+\\ket{001})$ and its $N$-partite generalization $\\ket{W_N}$. Previous tensor rank estimates are dramatically improved and we show that (i) three copies of $\\ket{W_3}$ has rank either 15 or 16, (ii) two copies of $\\ket{W_N}$ has rank $3N-2$, and (iii) $n$ copies of $\\ket{W_N}$ has rank O(N). A remarkable consequence of these results is that certain multipartite transformations, impossible even probabilistically, can become possible when performed in multiple copy bunches or when assisted by some catalyzing state. This effect is impossible for bipartite pure states.

  16. CO2 Sequestration Potential of Texas Low-Rank Coals

    SciTech Connect (OSTI)

    Duane A. McVay; Walter B. Ayers Jr; Jerry L. Jensen

    2006-07-01T23:59:59.000Z

    The objectives of this project are to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (ECBM) recovery as an added benefit of sequestration. The main objectives for this reporting period were to (1) estimate the potential for CO{sub 2} sequestration in, and methane production from, low-rank coals of the Lower Calvert Bluff Formation of the Wilcox Group in the east-central Texas region, (2) quantify uncertainty associated with these estimates, (3) conduct reservoir and economic analyses of CO{sub 2} sequestration and ECBM production using horizontal wells, and (4) compare the results with those obtained from previous studies of vertical wells. To estimate the total volumes of CO{sub 2} that may be sequestered in, and total volumes of methane that can be produced from, the Wilcox Group low-rank coals in east-central Texas, we used data provided by Anadarko Petroleum Corporation, data obtained during this research, and results of probabilistic simulation modeling studies we conducted. For the analysis, we applied our base-case coal seam characteristics to a 2,930-mi{sup 2} (1,875,200-ac) area where Calvert Bluff coal seams range between 4,000 and 6,200 ft deep. Results of the probabilistic analysis indicate that potential CO{sub 2} sequestration capacity of the coals ranges between 27.2 and 49.2 Tcf (1.57 and 2.69 billion tons), with a mean value of 38 Tcf (2.2 billion tons), assuming a 72.4% injection efficiency. Estimates of recoverable methane resources, assuming a 71.3% recovery factor, range between 6.3 and 13.6 Tcf, with a mean of 9.8 Tcf. As part of the technology transfer for this project, we presented the paper SPE 100584 at the 2006 SPE Gas Technology Symposium held in Calgary, Alberta, Canada, on May 15-18, 2006. Also, we submitted an abstract to be considered for inclusion in a special volume dedicated to CO{sub 2} sequestration in geologic media, which is planned for publication by the American Association of Petroleum Geologists.

  17. Half-prophets and Robbins' Problem of Minimizing the Expected Rank

    E-Print Network [OSTI]

    Thomas S. Ferguson; F. Thomas Bruss

    2011-01-01T23:59:59.000Z

    1993) Minimizing the expected rank with full information. J.Optimal selection based on relative ranks, Israel Journal ofMinimizing the Expected Rank F. THOMAS BRUSS ? , Universit´

  18. THE UNIVERSITY OF TEXAS AT AUSTIN Date: ______________ RECOMMENDATION FOR CHANGE IN ACADEMIC RANK/STATUS

    E-Print Network [OSTI]

    Hofmann, Hans A.

    IN ACADEMIC RANK/STATUS Name: ___________________________ Present Rank: ________________________ Years of Academic Service (Include AY 2013-14 in each count): At UT Austin since: ________ In present rank

  19. HPGMG 1.0: A Benchmark for Ranking High Performance Computing Systems

    E-Print Network [OSTI]

    Adams, Mark

    2014-01-01T23:59:59.000Z

    for Ranking High Performance Computing Systems Mark F. Adamsmetric for ranking high performance computing systems. HPLmetric for ranking high performance computing systems. When

  20. CO2 Sequestration Potential of Texas Low-Rank Coals

    SciTech Connect (OSTI)

    Duane A. McVay; Walter B. Ayers Jr; Jerry L. Jensen

    2006-03-01T23:59:59.000Z

    The objectives of this project are to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (ECBM) recovery as an added benefit of sequestration. In this reporting period we revised all of the economic calculations, participated in technology transfer of project results, and began working on project closeout tasks in anticipation of the project ending December 31, 2005. In this research, we conducted five separate simulation investigations, or cases. These cases are (1) CO{sub 2} sequestration base case scenarios for 4,000-ft and 6,200-ft depth coal beds in the Lower Calvert Bluff Formation of east-central Texas, (2) sensitivity study of the effects of well spacing on sequestration, (3) sensitivity study of the effects of injection gas composition, (4) sensitivity study of the effects of injection rate, and (5) sensitivity study of the effects of coal dewatering prior to CO{sub 2} injection/sequestration. Results show that, in most cases, revenue from coalbed methane production does not completely offset the costs of CO{sub 2} sequestration in Texas low-rank coals, indicating that CO{sub 2} injection is not economically feasible for the ranges of gas prices and carbon credits investigated. The best economic performance is obtained with flue gas (13% CO{sub 2} - 87% N{sub 2}) injection, as compared to injection of 100% CO{sub 2} and a mixture of 50% CO{sub 2} and 50% N{sub 2}. As part of technology transfer for this project, we presented results at the West Texas Geological Society Fall Symposium in October 2005 and at the COAL-SEQ Forum in November 2005.

  1. Peak finding using biorthogonal wavelets

    SciTech Connect (OSTI)

    Tan, C.Y.

    2000-02-01T23:59:59.000Z

    The authors show in this paper how they can find the peaks in the input data if the underlying signal is a sum of Lorentzians. In order to project the data into a space of Lorentzian like functions, they show explicitly the construction of scaling functions which look like Lorentzians. From this construction, they can calculate the biorthogonal filter coefficients for both the analysis and synthesis functions. They then compare their biorthogonal wavelets to the FBI (Federal Bureau of Investigations) wavelets when used for peak finding in noisy data. They will show that in this instance, their filters perform much better than the FBI wavelets.

  2. Optimization Online - Provable Low-Rank Tensor Recovery

    E-Print Network [OSTI]

    Bo Huang

    2014-02-26T23:59:59.000Z

    Feb 26, 2014 ... Abstract: In this paper, we rigorously study tractable models for provably recovering low-rank tensors. Unlike their matrix-based predecessors, ...

  3. Optimization Online - Forbidden minor characterizations for low-rank ...

    E-Print Network [OSTI]

    Marianna Eisenberg-Nagy

    2012-05-09T23:59:59.000Z

    May 9, 2012 ... Forbidden minor characterizations for low-rank optimal solutions to semidefinite programs over the elliptope. Marianna Eisenberg-Nagy ...

  4. Characterizing partition functions of the vertex model by rank growth

    E-Print Network [OSTI]

    Alexander Schrijver

    2012-11-15T23:59:59.000Z

    We characterize which graph invariants are partition functions of a vertex model over the complex numbers, in terms of the rank growth of associated `connection matrices'.

  5. Optimization Online - Guaranteed Minimum-Rank Solutions of ...

    E-Print Network [OSTI]

    Benjamin Recht

    2007-06-28T23:59:59.000Z

    Jun 28, 2007 ... Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization. Benjamin Recht(brecht ***at*** caltech.edu)

  6. ALGEBRAS OF REAL RANK ZERO M. Dadarlat and G. Gong

    E-Print Network [OSTI]

    1997-08-11T23:59:59.000Z

    A sweeping conjecture of Elliott asserts that the simple nuclear C*-algebras ... The results available so far suggest that the nuclear C*-algebras of real rank.

  7. Optimization Online - Sufficient Conditions for Low-rank Matrix ...

    E-Print Network [OSTI]

    Lingchen Kong

    2011-06-15T23:59:59.000Z

    Jun 15, 2011 ... This class of optimization problems is $NP$-hard and a popular approach replaces the rank function with the nuclear norm of the matrix ...

  8. RECOVERING LOW-RANK AND SPARSE COMPONENTS OF ...

    E-Print Network [OSTI]

    2009-12-31T23:59:59.000Z

    Dec 31, 2009 ... a convex relaxation problem where the widely-acknowledged nuclear norm and l1 norm are utilized to induce low-rank and sparsity.

  9. SUFFICIENT CONDITIONS FOR LOW-RANK MATRIX RECOVERY ...

    E-Print Network [OSTI]

    2011-06-15T23:59:59.000Z

    Jun 15, 2011 ... is -hard and a popular approach replaces the rank function with the nuclear norm of the matrix variable. In this paper, we extend the ...

  10. Proceedings of the sixteenth biennial low-rank fuels symposium

    SciTech Connect (OSTI)

    Not Available

    1991-01-01T23:59:59.000Z

    Low-rank coals represent a major energy resource for the world. The Low-Rank Fuels Symposium, building on the traditions established by the Lignite Symposium, focuses on the key opportunities for this resource. This conference offers a forum for leaders from industry, government, and academia to gather to share current information on the opportunities represented by low-rank coals. In the United States and throughout the world, the utility industry is the primary user of low-rank coals. As such, current experiences and future opportunities for new technologies in this industry were the primary focuses of the symposium.

  11. EA-1790: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding4: Finding

  12. EA-1793: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding4:Finding

  13. Chemical comminution and deashing of low-rank coals

    DOE Patents [OSTI]

    Quigley, David R. (Idaho Falls, ID)

    1992-01-01T23:59:59.000Z

    A method of chemically comminuting a low-rank coal while at the same time increasing the heating value of the coal. A strong alkali solution is added to a low-rank coal to solubilize the carbonaceous portion of the coal, leaving behind the noncarbonaceous mineral matter portion. The solubilized coal is precipitated from solution by a multivalent cation, preferably calcium.

  14. Scott Ranks of Counterexamples to Vaught's David Marker

    E-Print Network [OSTI]

    Marker, David

    is scattered, i.e., for any countable fragment there are only countably many -types. Dave Marker (UIC) Scott for -stable theories. (Shelah) If T is not -stable, then I(T, 1) = 21 . Dave Marker (UIC) Scott Ranks) If is a counterexample to Vaught's Conjecture, then for all Scott rank at least . In particular, I

  15. A fast, constantorder, symbol ranking text Peter Fenwick

    E-Print Network [OSTI]

    Fenwick, Peter

    capable of efficient hardware implementation. The compressor is based on a conventional setA fast, constant­order, symbol ranking text compressor Peter Fenwick Technical Report 145 ISSN 1173, New Zealand peter­f@cs.auckland.ac.nz Abstract Recent work on ``symbol ranking'' text compressors

  16. MIXING RANK-ONE ACTIONS OF LOCALLY COMPACT ABELIAN GROUPS

    E-Print Network [OSTI]

    Silva, Cesar E.

    MIXING RANK-ONE ACTIONS OF LOCALLY COMPACT ABELIAN GROUPS Alexandre I. Danilenko and Cesar E. Silva that such transformations are mixing of all orders [Ka], [Ry1] and have minimal self-joinings of all orders [Ki], [Ry1 this progress, not so many concrete examples of rank-one mixing ac- tions are known. Most of them were obtained

  17. Chemical comminution and deashing of low-rank coals

    DOE Patents [OSTI]

    Quigley, David R.

    1992-12-01T23:59:59.000Z

    A method of chemically comminuting a low-rank coal while at the same time increasing the heating value of the coal. A strong alkali solution is added to a low-rank coal to solubilize the carbonaceous portion of the coal, leaving behind the noncarbonaceous mineral matter portion. The solubilized coal is precipitated from solution by a multivalent cation, preferably calcium.

  18. Sierpinski Rank and Universal Sequences Joint work with Dr Yann Peresse and Dr James Mitchell

    E-Print Network [OSTI]

    St Andrews, University of

    Sierpi´nski Rank and Universal Sequences James Hyde Joint work with Dr Yann Peresse and Dr James Mitchell The University of St Andrews #12;Definintion of Sierpi´nski Rank Definition The Sierpi´nski rank-generated subsemigroup of S. Countable = rank = Sierpi´nski rank Another way of looking at Sierpi´nski rank

  19. EA-1871: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8:4:2:FindingFindingFindingFinding

  20. Device independent Schmidt rank witness by using Hardy paradox

    E-Print Network [OSTI]

    Amit Mukherjee; Arup Roy; Some Sankar Bhattacharya; Subhadipa Das; Md. Rajjak Gazi; Manik Banik

    2014-07-08T23:59:59.000Z

    Schmidt rank of bipartite pure state serves as a testimony of entanglement. It is a monotone under local operation + classical communications (LOCC) and puts restrictions in LOCC convertibility of quantum states. Identifying the Schmidt rank of an unknown quantum state therefore seek importance from information theoretic perspective. In this work it is shown that a modified version of Hardy's argument, which reveals the contradiction of quantum theory with local realism, turns out to be useful for inspecting the minimal Schmidt rank of the unknown state and hence also the minimal dimension of the system. Use of Hardy's test in such task provides a practical advantage: the Schmidt rank can be determined without knowing the detailed functioning of the experimental devices i.e., Hardy's test suffices to be a device independent Schmidt rank witness.

  1. Rank Extraction in Tin-Oxide Sensor Arrays Page 1 of 23 Rank Extraction in Tin-Oxide Sensor Arrays

    E-Print Network [OSTI]

    Roppel, Thaddeus A.

    Rank Extraction in Tin-Oxide Sensor Arrays Page 1 of 23 Rank Extraction in Tin-Oxide Sensor Arrays the amount of data to be processed. This work is a first example in feature extraction from tin-oxide sensors element array of tin-oxide sensors is presented. Results are extrapolated to other arrays of chemical

  2. Upgrading low rank coal using the Koppelman Series C process

    SciTech Connect (OSTI)

    Merriam, N.W., Western Research Institute

    1998-01-01T23:59:59.000Z

    Development of the K-Fuel technology began after the energy shortage of the early 1970s in the United States led energy producers to develop the huge deposits of low-sulfur coal in the Powder River Basin (PRB) of Wyoming. PRB coal is a subbituminous C coal containing about 30 wt % moisture and having heating values of about 18.6 megajoules/kg (8150 Btu/lb). PRB coal contains from 0.3 to 0.5 wt % sulfur, which is nearly all combined with the organic matrix in the coal. It is in much demand for boiler fuel because of the low-sulfur content and the low price. However, the low-heating value limits the markets for PRB coal to boilers specially designed for the high- moisture coal. Thus, the advantages of the low-sulfur content are not available to many potential customers having boilers that were designed for bituminous coal. This year about 250 million tons of coal is shipped from the Powder River Basin of Wyoming. The high- moisture content and, consequently, the low-heating value of this coal causes the transportation and combustion of the coal to be inefficient. When the moisture is removed and the heating value increased the same bundle of energy can be shipped using one- third less train loads. Also, the dried product can be burned much more efficiently in boiler systems. This increase in efficiency reduces the carbon dioxide emissions caused by use of the low-heating value coal. Also, the processing used to remove water and restructure the coal removes sulfur, nitrogen, mercury, and chlorides from the coal. This precombustion cleaning is much less costly than stack scrubbing. PRB coal, and other low-rank coals, tend to be highly reactive when freshly mined. These reactive coals must be mixed regularly (every week or two) when fresh, but become somewhat more stable after they have aged for several weeks. PRB coal is relatively dusty and subject to self-ignition compared to bituminous coals. When dried using conventional technology, PRB coal is even more dusty and more susceptible to spontaneous combustion than the raw coal. Also, PRB coal, if dried at low temperature, typically readsorbs about two- thirds of the moisture removed by drying. This readsorption of moisture releases the heat of adsorption of the water which is a major cause of self- heating of low-rank coals at low temperature.

  3. Next Generation Nuclear Plant Phenomena Identification and Ranking Tables (PIRTs) Volume 1: Main Report

    SciTech Connect (OSTI)

    Ball, Sydney J [ORNL

    2008-03-01T23:59:59.000Z

    A phenomena identification and ranking table (PIRT) process was conducted for the Next Generation Nuclear Plant (NGNP) design. This design (in the conceptual stage) is a modular high-temperature gas-cooled reactor (HTGR) that generates both electricity and process heat for hydrogen production. Expert panels identified safety-relevant phenomena, ranked their importance, and assessed the knowledge levels in the areas of accidents and thermal fluids, fission-product transport and dose, high-temperature materials, graphite, and process heat for hydrogen production. This main report summarizes and documents the process and scope of the reviews, noting the major activities and conclusions. The identified phenomena, analyses, rationales, and associated ratings of the phenomena, plus a summary of each panel's findings, are presented. Individual panel reports for these areas are provided as attached volumes to this main report and provide considerably more detail about each panel's deliberations as well as a more complete listing of the phenomena that were evaluated.

  4. Comparative Fellowships

    E-Print Network [OSTI]

    Watkins, Joseph C.

    Comparative Genomics IGERT Graduate Fellowships & Training Integrative Graduate Education for genomics, including genotyping, sequencing, microarray research, and computers for biocomputing needs. · Genomic Analysis and Technology Core · Biotechnology Computing Facility · Protemics Analysis Lab · Bio5

  5. Test Comparability

    E-Print Network [OSTI]

    Keller, Christine; Shulenburger, David E.

    2010-01-01T23:59:59.000Z

    KU ScholarWorks | http://kuscholarworks.ku.edu Test Comparability 2010 by Christine Keller and David Shulenburger This work has been made available by the University of Kansas Libraries’ Office of Scholarly Communication and Copyright. Please... and Shulenburger, David. “Test comparability,” with Christine Keller in the Letters section of Change, September/October 2010, p. 6. Published version: http://www.changemag.org/Archives/Back%20 Issues/September-October%202010/letters-to-editor.html Terms of Use...

  6. 2011-12 At A Glance RANKINGS & RECOGNITION

    E-Print Network [OSTI]

    Ward, Karen

    "" " " 53 " Computer Science" " " 26 " Electrical Engineering" " " 100 " Industrial Engineering" " " 27" " " 6 " Industrial Engineering" " " 19 " Manufacturing Engineering" " 16 " Mechanical Engineering"" " 202011-12 At A Glance RANKINGS & RECOGNITION Top Engineering Schools for Hispanics (Hispanic Business

  7. Ranks of Elliptic Curves via Class Groups of Number Fields

    E-Print Network [OSTI]

    2012-11-21T23:59:59.000Z

    state-of-the art methods to compute the rank assuming there is no rational point of order ... p /? S of K, we have valuation ordp : K ?? Kp ? Z ? {?}. If L is a ...

  8. Physics high-ranking Journals (category 2) Advances in Physics

    E-Print Network [OSTI]

    Physics high-ranking Journals (category 2) Advances in Physics Annual Review of Astronomy and Astrophysics Annual Review of Nuclear and Particle Science Applied Physics Letters Astronomy & Astrophysics Astronomy and Astrophysics Review Astrophysical Journal European Physical Journal D. Atomic, Molecular

  9. New lower bounds and asymptotics for the cp-rank

    E-Print Network [OSTI]

    Immanuel M. Bomze

    2014-06-13T23:59:59.000Z

    Jun 13, 2014 ... Abstract: Let $p_n$ denote the largest possible cp-rank of an $n\\times n$ completely positive matrix. This matrix parameter has its significance ...

  10. Design and implementation of parallel simulation ranking and selection procedures.

    E-Print Network [OSTI]

    Wu, Yang

    2013-01-01T23:59:59.000Z

    ??Conventional simulation ranking-and-selection(R&S) procedures are designed and implemented for serial computing environment. However, today's growth of computing power relies more on parallelism rather than faster… (more)

  11. Canada's top-ranked digestive health research institute opens

    E-Print Network [OSTI]

    Thompson, Michael

    network Canada's top-ranked digestive health research institute opens McMaster innovates the grand opening of the Farncombe Family Digestive Health Research Institute. The creation of this unique

  12. Rank-based SLOCC classification for odd n qubits

    E-Print Network [OSTI]

    Xiangrong Li; Dafa Li

    2011-06-21T23:59:59.000Z

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

  13. Higher-Rank Numerical Ranges of Unitary and Normal Matrices

    E-Print Network [OSTI]

    Man-Duen Choi; John A. Holbrook; David W. Kribs; Karol Zyczkowski

    2007-01-31T23:59:59.000Z

    We verify a conjecture on the structure of higher-rank numerical ranges for a wide class of unitary and normal matrices. Using analytic and geometric techniques, we show precisely how the higher-rank numerical ranges for a generic unitary matrix are given by complex polygons determined by the spectral structure of the matrix. We discuss applications of the results to quantum error correction, specifically to the problem of identification and construction of codes for binary unitary noise models.

  14. On the kernelization of ranking r-CSP in tournaments

    E-Print Network [OSTI]

    Perez, Anthony

    2012-01-01T23:59:59.000Z

    A Ranking r-Constraint Satisfaction Problem (ranking r-CSP) consists of a ground set of vertices V, an arity r > 2, a parameter k and a constraint system c, where c is a function which maps rankings of r-sized subsets of V to {0,1}. The objective is to decide if there exists a ranking ? of the vertices satisfying all but at most k constraints. Famous ranking r-CSP include the Feedback Arc Set in Tournaments and Betweenness in Tournaments problems. We consider these problems from the kernelization viewpoint. We first prove that Feedback Arc Set in Bipartite Tournaments admits a kernel with O(k^2) vertices, improving the previous bound of O(k^3) vertices. Next, we prove that so-called l_r-simply characterized ranking r-CSP admit linear vertex-kernels whenever they admit constant-factor approximation algorithms. This implies that r-Betweenness in Tournaments and r-Transitive Feedback Arc Set In Tournaments admit linear vertex-kernels. Finally, we consider another generalization of Feedback Arc Set in Tournaments...

  15. EA-1786: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding4: Finding of6: Finding of

  16. EA-1787: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding4: Finding of6: Finding

  17. EA-1788: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding4: Finding of6: Finding8:

  18. EA-1791: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding4: FindingFinal1: Finding

  19. EA-1867: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8:4:2:FindingFinding ofFinding of

  20. EA-1869: Final Environmental Assessment and Finding of No Significant

    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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8:4:2:FindingFinding ofFinding

  1. EA-1870: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8:4:2:FindingFindingFinding of No

  2. EA-1916: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final EnvironmentalFinding ofFinding ofDepartmentFinding of

  3. EA-1921: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final EnvironmentalFinding ofFindingFinding of No Significant

  4. EA-1925: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final EnvironmentalFinding ofFindingFinding of NoOctober

  5. EA-1928: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final EnvironmentalFinding ofFindingFinding ofPlant

  6. EA-1944: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final EnvironmentalFindingDraftFinding of4: Finding of No

  7. EA-1947: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final EnvironmentalFindingDraftFinding of4:Finding of No

  8. Rank-r latent models for cross-covariance Jacob A. Wegelin

    E-Print Network [OSTI]

    Washington at Seattle, University of

    Rank-r latent models for cross-covariance Jacob A. Wegelin Thomas S. Richardson University of Gaussian rank-r latent models for cross-covariance. We show by construction that any variance-covariance matrix for the ob- served variables induced by rank-r reduced-rank regression can be induced by a rank

  9. How to Find

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickr FlickrGuidedCH2MLLC HistoryVeterans |VirtualLoveApplyDownload,Find

  10. Find People | ORNL

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest Region service area. TheEPSCI HomeTours, Programs and EventsFiber LasersFind

  11. Find Theses and Dissertations

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4:EpitaxialtransatlanticUnified| Department ofFind

  12. ALLAN, VERBEEK: RANKING USER-ANNOTATED IMAGES 1 Ranking user-annotated images for multiple

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , for example, the user enters the search terms `cat' and `dog', we can quickly find potentially-relevant images, and that performance when searching for multiple terms can be increased by learning a new combined model and taking be increased by rejecting images from `untrustwor- thy' users. We focus on search queries for multiple terms

  13. Rank and Set Restrictions for Homogeneity Analysis in R: The "homals" Package

    E-Print Network [OSTI]

    Mair, Patrick; Leeuw, Jan de

    2008-01-01T23:59:59.000Z

    Rank and Set Restrictions for Homogeneity Analysis in R:various extensions in terms of rank restrictions (nonlinearSection 2.1) in terms of rank restrictions (Section 2.2) and

  14. Low-rank approximations with sparse factors II: penalized methods with discrete Newton-like iterations

    E-Print Network [OSTI]

    Simon, Horst

    2011-01-01T23:59:59.000Z

    H. Zha, and H. Simon. Low-rank Approximations with Sparse5) H. Simon and H. Zhao Low-rank matrix approximation usingZhang. Matrices with low-rank-plus-shift structure: partial

  15. Rank and Set Restrictions for Homogeneity Analysis in R: The "homals" Package

    E-Print Network [OSTI]

    Patrick Mair; Jan de Leeuw

    2011-01-01T23:59:59.000Z

    Rank and Set Restrictions for Homogeneity Analysis in R:various extensions in terms of rank restrictions (nonlinearSection 2.1) in terms of rank restrictions (Section 2.2) and

  16. Finding Extreme Subdwarfs

    E-Print Network [OSTI]

    J. L. Marshall

    2007-12-06T23:59:59.000Z

    I develop a new technique to identify M-type extreme subdwarfs (esdMs) and demonstrate that it is substantially more efficient than previous methods. I begin by obtaining spectroscopy and improved photometry of a sample of 54 late-type halo candidates using the rNLTT reduced proper motion (RPM) diagram. From spectroscopy, I find that four of these are esdMs, three of which were previously unknown. From the improved photometry, I show that all four lie in a narrow RPM corridor that contains only 4 non-esdMs. Hence, with good photometry (i.e., without spectroscopy), it appears possible to select esdM candidates with a 50% esdM yield. This is more than an order of magnitude more efficient than previous methods.

  17. EA-1642: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action PlanMitigation0: Finding

  18. EA-1678: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action50:0: Finding of

  19. EA-1689: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action50:0:0: Finding

  20. EA-1714: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: Revised Draft0: Finding of

  1. EA-1719: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: Revised Draft0: Finding

  2. EA-1725: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: Revised Draft0:: Finding of

  3. EA-1739: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: RevisedMonroe, LA |Finding

  4. EA-1758: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: RevisedMonroe,Mitigation: Finding

  5. EA-1897: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final Environmental AssessmentFinalFinalDraftFinding

  6. EA-1904: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final EnvironmentalFinding of NoDraft

  7. EA-1933: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final EnvironmentalFinding

  8. EA-1934: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final EnvironmentalFindingDraft Environmental

  9. Modified Phenomena Identification and Ranking Table (PIRT) for Uncertainty Analysis

    SciTech Connect (OSTI)

    Gol-Mohamad, Mohammad P.; Modarres, Mohammad; Mosleh, Ali [University of Maryland, College Park, MD 20742 (United States)

    2006-07-01T23:59:59.000Z

    This paper describes a methodology of characterizing important phenomena, which is also part of a broader research by the authors called 'Modified PIRT'. The methodology provides robust process of phenomena identification and ranking process for more precise quantification of uncertainty. It is a two-step process of identifying and ranking methodology based on thermal-hydraulics (TH) importance as well as uncertainty importance. Analytical Hierarchical Process (AHP) has been used for as a formal approach for TH identification and ranking. Formal uncertainty importance technique is used to estimate the degree of credibility of the TH model(s) used to represent the important phenomena. This part uses subjective justification by evaluating available information and data from experiments, and code predictions. The proposed methodology was demonstrated by developing a PIRT for large break loss of coolant accident LBLOCA for the LOFT integral facility with highest core power (test LB-1). (authors)

  10. Phenomena Identification and Ranking Technique (PIRT) Panel Meeting Summary Report

    SciTech Connect (OSTI)

    Mark Holbrook

    2007-07-01T23:59:59.000Z

    Phenomena Identification and Ranking Technique (PIRT) is a systematic way of gathering information from experts on a specific subject and ranking the importance of the information. NRC, in collaboration with DOE and the working group, conducted the PIRT exercises to identify safety-relevant phenomena for NGNP, and to assess and rank the importance and knowledge base for each phenomenon. The overall objective was to provide NRC with an expert assessment of the safety-relevant NGNP phenomena, and an overall assessment of R and D needs for NGNP licensing. The PIRT process was applied to five major topical areas relevant to NGNP safety and licensing: (1) thermofluids and accident analysis (including neutronics), (2) fission product transport, (3) high temperature materials, (4) graphite, and (5) process heat for hydrogen cogeneration.

  11. Nonlocal and controlled unitary operators of Schmidt rank three

    E-Print Network [OSTI]

    Lin Chen; Li Yu

    2014-06-23T23:59:59.000Z

    Implementing nonlocal unitary operators is an important and hard question in quantum computing and cryptography. We show that any bipartite nonlocal unitary operator of Schmidt rank three on the $(d_A \\times d_B)$-dimensional system is locally equivalent to a controlled unitary when $d_A$ is at most three. This operator can be locally implemented assisted by a maximally entangled state of Schmidt rank $r=\\min\\{d_A^2,d_B\\}$. We further show that stochastic-equivalent nonlocal unitary operators are indeed locally equivalent, and propose a sufficient condition on which nonlocal and controlled unitary operators are locally equivalent. We also provide the solution to a special case of a conjecture on the ranks of multipartite quantum states.

  12. E-Print Network 3.0 - adaptive rank penalized Sample Search Results

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

    rank penalized Search Powered by Explorit Topic List Advanced Search Sample search results for: adaptive rank penalized Page: << < 1 2 3 4 5 > >> 1 Prediction of high dimensional...

  13. Function: GTP:-tensorrank -find the rank of a tensor or an elements of the type 'gradedpolynom' Calling Sequence

    E-Print Network [OSTI]

    Ablamowicz, Rafal

    and &C[K]. Type ?cliprod for help. 5 > p:=a*(Id &t Id &t e2)-3*(e1we2 &t e2 &t e2we1 )+b*4*(Id &t e2 &t e1)- Id &t e1we2 &t e1we2; p a ( )( )Id &t Id &t e2 3 ( )( )e1we2 &t e2 &t e2we1 4 b ( )( )Id &t e2 &t e1- +:= ( )( )Id &t e1we2 &t e1we2- > tensorrank(p); 3 > p:=&t(e1,e2,e3)-&t(e1,e2); :=p -( )( )e1

  14. Worldsheet Interpretation of the Level-Rank Duality

    E-Print Network [OSTI]

    Soroush, Masoud

    2015-01-01T23:59:59.000Z

    Level-rank duality relates the observables of two different Chern-Simons theories in which the roles of the Chern-Simons level and the rank of the gauge group are exchanged. In this note, we explore the consequences of this duality in the realm of topological string theory. We show that this duality induces a number of identities between the open Gromov-Witten invariants of the geometries associated with a knot ${\\cal K}$ and its mirror image $\\tilde{\\cal K}$. We show how these identities arise both in the A-model and in the dual B-model.

  15. Rank-ordered Multifractal Spectrum for Intermittent Fluctuations

    E-Print Network [OSTI]

    Tom Chang; Cheng-chin Wu

    2007-12-27T23:59:59.000Z

    We describe a new method that is both physically explicable and quantitatively accurate in describing the multifractal characteristics of intermittent events based on groupings of rank-ordered fluctuations. The generic nature of such rank-ordered spectrum leads it to a natural connection with the concept of one-parameter scaling for monofractals. We demonstrate this technique using results obtained from a 2D MHD simulation. The calculated spectrum suggests a crossover from the near Gaussian characteristics of small amplitude fluctuations to the extreme intermittent state of large rare events.

  16. Placental findings in cord accidents

    E-Print Network [OSTI]

    Parast, Mana M

    2012-01-01T23:59:59.000Z

    Placental findings in cord accidents. BMC Pregnancy andPlacental findings in cord accidents Mana M Parast Fromfor stillbirth. “Cord accident,” defined by obstruction of

  17. EA-1576: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADA andDriving5-FEB.55: Finding4: Final6: Finding

  18. EA-1676: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action50:0: Finding of No6: Finding

  19. EA-1682: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action50:0:0: Finding of No2: Finding

  20. EA-1684: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action50:0:0: Finding ofFinding of No

  1. EA-1685: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action50:0:0: Finding ofFinding5:

  2. EA-1700: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action50:0:0:6: FindingFinalFinding

  3. EA-1720: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: Revised Draft0: Finding0: Finding

  4. EA-1727: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: Revised Draft0:: Finding7: Finding

  5. EA-1770: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding of NoFinding of No

  6. EA-1772: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding of NoFinding of

  7. EA-1772: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding of NoFinding ofproposed

  8. EA-1774: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding of NoFindingImpact |:

  9. EA-1776: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding of NoFindingImpact |:6:

  10. EA-1777: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding of NoFindingImpact |:6:7:

  11. EA-1782: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding ofDraftDepartmentFinding

  12. EA-1784: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding4: Finding of No

  13. EA-1785: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding4: Finding of

  14. EA-1789: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding4: Finding of6:

  15. EA-1792: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding4:Finding of

  16. EA-1797: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding4:Finding5:Department7:

  17. EA-1809: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8: Final2: Finding ofFinalFinding

  18. EA-1823: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8: Final2:Final||FindingFinding of

  19. EA-1849: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8:4: RecordFinding ofFinalFinding

  20. EA-1863: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8:4:2:Finding ofDraftFinalFinding

  1. EA-1864: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8:4:2:FindingFinding of No

  2. EA-1866: Final Environmental Assessment and Finding of No Significant

    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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8:4:2:FindingFinding of NoImpact |

  3. EA-1885: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final Environmental Assessment EA-1875:4: DraftFindingFinding

  4. EA-1909: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final EnvironmentalFinding of NoDraft5:FinalDraftFinalFinding

  5. EA-1913: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final EnvironmentalFinding ofFinding of No

  6. EA-1935: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final EnvironmentalFindingDraft Environmental5: FinalFinding

  7. EA-1939: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final EnvironmentalFindingDraftFinding of No Significant

  8. High School Math Contest Rankings November 16, 2013

    E-Print Network [OSTI]

    Boas, Harold P.

    2013 High School Math Contest Rankings November 16, 2013 Sweepstakes Sweepstakes Points School School of Advancement Isil Nal fourth 50 Quail Valley Middle School Isil Nal Fifth 49 Whatley Home School Willaim Whatley Sixth 43 Westwood High School Zheng Chen seventh 28 LASA Sarah Harrelson Eighth 27

  9. Phenomena identification and ranking tables (PIRT) for LBLOCA

    SciTech Connect (OSTI)

    Shaw, R.A.; Dimenna, R.A.; Larson, T.K.; Wilson, G.E.

    1987-01-01T23:59:59.000Z

    The US Nuclear Regulatory Commission is sponsoring a program to provide validated reactor safety computer codes with quantified uncertainties. The intent is to quantify the accuracy of the codes for use in best estimate licensing applications. One of the tasks required to complete this program involves the identification and ranking of thermal-hydraulic phenomena that occur during particular accidents. This paper provides detailed tables of phenomena and importance ranks for a PWR LBLOCA. The phenomena were identified and ranked according to perceived impact on peak cladding temperature. Two approaches were used to complete this task. First, a panel of experts identified the physical processes considered to be most important during LBLOCA. A second team of experienced analysts then, in parallel, assembled complete tables of all plausible LBLOCA phenomena, regardless of perceived importance. Each phenomenon was then ranked in importance against every other phenomenon associated with a given component. The results were placed in matrix format and solved for the principal eigenvector. The results as determined by each method are presented in this report.

  10. Low rank extremal PPT states and unextendible product bases

    E-Print Network [OSTI]

    Jon Magne Leinaas; Jan Myrheim; Per Řyvind Sollid

    2010-03-05T23:59:59.000Z

    It is known how to construct, in a bipartite quantum system, a unique low rank entangled mixed state with positive partial transpose (a PPT state) from an unextendible product basis (a UPB), defined as an unextendible set of orthogonal product vectors. We point out that a state constructed in this way belongs to a continuous family of entangled PPT states of the same rank, all related by non-singular product transformations, unitary or non-unitary. The characteristic property of a state $\\rho$ in such a family is that its kernel $\\Ker\\rho$ has a generalized UPB, a basis of product vectors, not necessarily orthogonal, with no product vector in $\\Im\\rho$, the orthogonal complement of $\\Ker\\rho$. The generalized UPB in $\\Ker\\rho$ has the special property that it can be transformed to orthogonal form by a product transformation. In the case of a system of dimension $3\\times 3$, we give a complete parametrization of orthogonal UPBs. This is then a parametrization of families of rank 4 entangled (and extremal) PPT states, and we present strong numerical evidence that it is a complete classification of such states. We speculate that the lowest rank entangled and extremal PPT states also in higher dimensions are related to generalized, non-orthogonal UPBs in similar ways.

  11. Stabilized thermally beneficiated low rank coal and method of manufacture

    DOE Patents [OSTI]

    Viall, Arthur J. (Colstrip, MT); Richards, Jeff M. (Colstrip, MT)

    2000-01-01T23:59:59.000Z

    A process for reducing the spontaneous combustion tendencies of thermally beneficiated low rank coals employing heat, air or an oxygen containing gas followed by an optional moisture addition. Specific reaction conditions are supplied along with knowledge of equipment types that may be employed on a commercial scale to complete the process.

  12. Poincare Polinomials of Hyperbolic Lie Algebras of Rank Three

    E-Print Network [OSTI]

    Meltem Gungormez

    2005-07-06T23:59:59.000Z

    In view of a previous work, we explicitly give the Poincare polinomials of 19 Hyperbolic Lie algebras of rank 3. It is seen that every one of these polinomials is expressed as the ratio of Poincare polinomial of $B_3$ Lie algebra and a polinomial of finite degree.

  13. Stabilized thermally beneficiated low rank coal and method of manufacture

    DOE Patents [OSTI]

    Viall, Arthur J. (Colstrip, MT); Richards, Jeff M. (Colstrip, MT)

    1999-01-01T23:59:59.000Z

    A process for reducing the spontaneous combustion tendencies of thermally beneficiated low rank coals employing heat, air or an oxygen containing gas followed by an optional moisture addition. Specific reaction conditions are supplied along with knowledge of equipment types that may be employed on a commercial scale to complete the process.

  14. Stabilized thermally beneficiated low rank coal and method of manufacture

    DOE Patents [OSTI]

    Viall, A.J.; Richards, J.M.

    1999-01-26T23:59:59.000Z

    A process is described for reducing the spontaneous combustion tendencies of thermally beneficiated low rank coals employing heat, air or an oxygen containing gas followed by an optional moisture addition. Specific reaction conditions are supplied along with knowledge of equipment types that may be employed on a commercial scale to complete the process. 3 figs.

  15. SampleRank: Training Factor Graphs with Atomic Gradients

    E-Print Network [OSTI]

    McCallum, Andrew

    a user-provided loss function to distribute stochastic gradients across an MCMC chain. As a result, parameter updates can be computed between arbitrary MCMC states. Sam- pleRank is not only faster than CD- expensive gradients between the ground-truth and samples along an MCMC chain yielding a stochastic

  16. Lignites and Low Rank Coals Conference: Proceedings 2001

    SciTech Connect (OSTI)

    None

    2002-02-01T23:59:59.000Z

    EPRI and the Technische Vereinigung des Grosskraftswerkbetreiber (Technical Association of Large Power Plant Operators) (VGB) jointly held a Conference on Lignites and Low Rank Coals in Wiesbaden, Germany, May 16-18, 2001. These Proceedings include the plenary papers, technical session papers, and rapporteurs' summaries from the conference.

  17. The blowup formula for higher rank Donaldson invariants

    E-Print Network [OSTI]

    Culler, Lucas Howard

    2014-01-01T23:59:59.000Z

    In this thesis, I study the relationship between the higher rank Donaldson invariants of a smooth 4-manifold X and the invariants of its blowup X#CP2 . This relationship can be expressed in terms of a formal power series ...

  18. Professor (Open Rank) Department of Nuclear, Plasma, and Radiological Engineering

    E-Print Network [OSTI]

    Ma, Yi

    Professor (Open Rank) Department of Nuclear, Plasma, and Radiological Engineering University of Illinois at Urbana-Champaign The Department of Nuclear, Plasma, and Radiological Engineering-qualified candidates with background in areas related to reactor power engineering and other nuclear applications

  19. Robust video denoising using low rank matrix completion , Chaoqiang Liu

    E-Print Network [OSTI]

    Shen, Zuowei

    Robust video denoising using low rank matrix completion Hui Ji , Chaoqiang Liu , Zuowei Shen video denoising algorithms assume a sin- gle statistical model of image noise, e.g. additive Gaussian white noise, which often is violated in practice. In this pa- per, we present a new patch-based video

  20. Learning to Rank using Markov Random Fields Antonino Freno and Tiziano Papini and Michelangelo Diligenti

    E-Print Network [OSTI]

    Boyer, Edmond

    Learning to Rank using Markov Random Fields Antonino Freno and Tiziano Papini and Michelangelo, papinit, diligmic}@dii.unisi.it Abstract--Learning to rank from examples is an important task in modern to manually devise high-performing ranking functions. This paper presents a novel approach to learning-to-rank

  1. A Rank-Corrected Procedure for Matrix Completion with Fixed Basis Coefficients

    E-Print Network [OSTI]

    Chaudhuri, Sanjay

    A Rank-Corrected Procedure for Matrix Completion with Fixed Basis Coefficients Weimin Miao, Shaohua address low-rank matrix completion problems with fixed basis coefficients, which include the low-rank correlation matrix completion in various fields such as the financial market and the low-rank density matrix

  2. Linear Rank-Width of Trees Mamadou Moustapha Kant Isolde Adler

    E-Print Network [OSTI]

    Fondements et Applications, Université Paris 7

    Linear Rank-Width of Trees Mamadou Moustapha Kanté Isolde Adler November 8, 2012 Linear rank-width is the linearised version of the complexity graph pa- rameter rank-width. While, path-width, the linearised version of tree-width is well-studied, less is known about linear rank-width. We will show that path

  3. M2-RANK DIFFERENCES FOR OVERPARTITIONS JEREMY LOVEJOY AND ROBERT OSBURN

    E-Print Network [OSTI]

    Osburn, Robert

    M2-RANK DIFFERENCES FOR OVERPARTITIONS JEREMY LOVEJOY AND ROBERT OSBURN In memory of Oliver Atkin and Swinnerton-Dyer to deduce formulas for rank differences. The study of rank differences was initiated by Atkin function. Since then, other types of rank differences for statistics associated to partitions have been

  4. Rank Distributions I picked up this hand at the club yesterday (October 9, 2011)

    E-Print Network [OSTI]

    Martin, Jeremy L.

    Rank Distributions I picked up this hand at the club yesterday (October 9, 2011): 543 853 K43 K hand for gin rummy. How rare is it to pick up a hand with cards of only five different ranks? Quick notation: Let's describe the rank distribution of a hand by listing the number of ranks that contribute

  5. Torsion cohomology for solvable groups of finite rank.

    E-Print Network [OSTI]

    Karl Lorensen

    We define a class $\\mathcal{U}$ of solvable groups of finite abelian section rank which includes all such groups that are virtually torsion-free as well as those that are finitely generated. Assume that $G$ is a group in $\\mathcal{U}$ and $A$ a $\\mathbb ZG$-module. If $A$ is $\\mathbb Z$-torsion-free and has finite $\\mathbb Z$-rank, we stipulate a condition on $A$ that guarantees that $H^n(G,A)$ and $H_n(G,A)$ must be finite for $n\\geq 0$. Moreover, if the underlying abelian group of $A$ is a ?ernikov group, we identify a similar condition on $A$ that ensures that $H^n(G,A)$ must be a ?ernikov group for all $n\\geq 0$.

  6. Optical ranked-order filtering using threshold decomposition

    DOE Patents [OSTI]

    Allebach, J.P.; Ochoa, E.; Sweeney, D.W.

    1987-10-09T23:59:59.000Z

    A hybrid optical/electronic system performs median filtering and related ranked-order operations using threshold decomposition to encode the image. Threshold decomposition transforms the nonlinear neighborhood ranking operation into a linear space-invariant filtering step followed by a point-to-point threshold comparison step. Spatial multiplexing allows parallel processing of all the threshold components as well as recombination by a second linear, space-invariant filtering step. An incoherent optical correlation system performs the linear filtering, using a magneto-optic spatial light modulator as the input device and a computer-generated hologram in the filter plane. Thresholding is done electronically. By adjusting the value of the threshold, the same architecture is used to perform median, minimum, and maximum filtering of images. A totally optical system is also disclosed. 3 figs.

  7. Optical ranked-order filtering using threshold decomposition

    DOE Patents [OSTI]

    Allebach, Jan P. (West Lafayette, IN); Ochoa, Ellen (Pleasanton, CA); Sweeney, Donald W. (Alamo, CA)

    1990-01-01T23:59:59.000Z

    A hybrid optical/electronic system performs median filtering and related ranked-order operations using threshold decomposition to encode the image. Threshold decomposition transforms the nonlinear neighborhood ranking operation into a linear space-invariant filtering step followed by a point-to-point threshold comparison step. Spatial multiplexing allows parallel processing of all the threshold components as well as recombination by a second linear, space-invariant filtering step. An incoherent optical correlation system performs the linear filtering, using a magneto-optic spatial light modulator as the input device and a computer-generated hologram in the filter plane. Thresholding is done electronically. By adjusting the value of the threshold, the same architecture is used to perform median, minimum, and maximum filtering of images. A totally optical system is also disclosed.

  8. Higher rank Wilson loops from a matrix model

    E-Print Network [OSTI]

    Sean A. Hartnoll; S. Prem Kumar

    2006-05-16T23:59:59.000Z

    We compute the circular Wilson loop of N=4 SYM theory at large N in the rank k symmetric and antisymmetric tensor representations. Using a quadratic Hermitian matrix model we obtain expressions for all values of the 't Hooft coupling. At large and small couplings we give explicit formulae and reproduce supergravity results from both D3 and D5 branes within a systematic framework.

  9. Low-rank coal oil agglomeration product and process

    DOE Patents [OSTI]

    Knudson, Curtis L. (Grand Forks, ND); Timpe, Ronald C. (Grand Forks, ND); Potas, Todd A. (Plymouth, MN); DeWall, Raymond A. (Grand Forks, ND); Musich, Mark A. (Grand Forks, ND)

    1992-01-01T23:59:59.000Z

    A selectively-sized, raw, low-rank coal is processed to produce a low ash and relative water-free agglomerate with an enhanced heating value and a hardness sufficient to produce a non-decrepitating, shippable fuel. The low-rank coal is treated, under high shear conditions, in the first stage to cause ash reduction and subsequent surface modification which is necessary to facilitate agglomerate formation. In the second stage the treated low-rank coal is contacted with bridging and binding oils under low shear conditions to produce agglomerates of selected size. The bridging and binding oils may be coal or petroleum derived. The process incorporates a thermal deoiling step whereby the bridging oil may be completely or partially recovered from the agglomerate; whereas, partial recovery of the bridging oil functions to leave as an agglomerate binder, the heavy constituents of the bridging oil. The recovered oil is suitable for recycling to the agglomeration step or can serve as a value-added product.

  10. On the dimension of subspaces with bounded Schmidt rank

    E-Print Network [OSTI]

    T. S. Cubitt; A. Montanaro; A. Winter

    2007-06-05T23:59:59.000Z

    We consider the question of how large a subspace of a given bipartite quantum system can be when the subspace contains only highly entangled states. This is motivated in part by results of Hayden et al., which show that in large d x d--dimensional systems there exist random subspaces of dimension almost d^2, all of whose states have entropy of entanglement at least log d - O(1). It is also related to results due to Parthasarathy on the dimension of completely entangled subspaces, which have connections with the construction of unextendible product bases. Here we take as entanglement measure the Schmidt rank, and determine, for every pair of local dimensions dA and dB, and every r, the largest dimension of a subspace consisting only of entangled states of Schmidt rank r or larger. This exact answer is a significant improvement on the best bounds that can be obtained using random subspace techniques. We also determine the converse: the largest dimension of a subspace with an upper bound on the Schmidt rank. Finally, we discuss the question of subspaces containing only states with Schmidt equal to r.

  11. Low-rank coal oil agglomeration product and process

    DOE Patents [OSTI]

    Knudson, C.L.; Timpe, R.C.; Potas, T.A.; DeWall, R.A.; Musich, M.A.

    1992-11-10T23:59:59.000Z

    A selectively-sized, raw, low-rank coal is processed to produce a low ash and relative water-free agglomerate with an enhanced heating value and a hardness sufficient to produce a non-degradable, shippable fuel. The low-rank coal is treated, under high shear conditions, in the first stage to cause ash reduction and subsequent surface modification which is necessary to facilitate agglomerate formation. In the second stage the treated low-rank coal is contacted with bridging and binding oils under low shear conditions to produce agglomerates of selected size. The bridging and binding oils may be coal or petroleum derived. The process incorporates a thermal deoiling step whereby the bridging oil may be completely or partially recovered from the agglomerate; whereas, partial recovery of the bridging oil functions to leave as an agglomerate binder, the heavy constituents of the bridging oil. The recovered oil is suitable for recycling to the agglomeration step or can serve as a value-added product.

  12. Finding

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment ofDepartment ofofOxford SiteToledo SiteTonawanda North - Consequences ofr t l--

  13. Preliminary Phenomena Identification and Ranking Tables (PIRT) for SBWR start-up stability

    SciTech Connect (OSTI)

    Rohatgi, U.S.; Cheng, H.S.; Khan, H.J.; Wulff, K.W.

    1997-03-01T23:59:59.000Z

    Phenomena Identification and Ranking Tables (PIRT) have been developed for start-up transient for SBWP. The information used for PIRT came from RAMONA-4B and TRACG analyses of the transient and from related small scale tests. The transient was divided into four distinct phases, namely, Subcooled Core Heat-up, Subcooled Chimney, Saturated Chimney and Power Ascension. The assessment criterion selected was Minimum Critical Power Ratio. The SBWR system was divided into ten components. A total of 33 distinct phenomena among the components were identified. The Phase I has 28 ranked phenomena with 17 low, 6 medium and 5 high ranking. The Phase II has 39 ranked phenomena with 18 low, 13 median and 8 high ranking. The Phase III has 47 ranked phenomena with 22 low, 10 medium and 15 high ranking. The Phase IV has 46 ranked phenomena with 16 low, 12 medium and 18 high ranking. 12 refs., 22 figs., 21 tabs.

  14. Modified Hazard Ranking System/Hazard Ranking System for sites with mixed radioactive and hazardous wastes: Software documentation

    SciTech Connect (OSTI)

    Stenner, R.D.; Peloquin, R.A.; Hawley, K.A.

    1986-11-01T23:59:59.000Z

    The mHRS/HRS software package was developed by the Pacific Northwest Laboratory (PNL) under contract with the Department of Energy (DOE) to provide a uniform method for DOE facilities to use in performing their Conservation Environmental Response Compensation and Liability Act (CERCLA) Phase I Modified Hazard Ranking System or Hazard Ranking System evaluations. The program is designed to remove the tedium and potential for error associated with the performing of hand calculations and the interpreting of information on tables and in reference books when performing an evaluation. The software package is designed to operate on a microcomputer (IBM PC, PC/XT, or PC/AT, or a compatible system) using either a dual floppy disk drive or a hard disk storage system. It is written in the dBASE III language and operates using the dBASE III system. Although the mHRS/HRS software package was developed for use at DOE facilities, it has direct applicability to the performing of CERCLA Phase I evaluations for any facility contaminated by hazardous waste. The software can perform evaluations using either the modified hazard ranking system methodology developed by DOE/PNL, the hazard ranking system methodology developed by EPA/MITRE Corp., or a combination of the two. This document is a companion manual to the mHRS/HRS user manual. It is intended for the programmer who must maintain the software package and for those interested in the computer implementation. This manual documents the system logic, computer programs, and data files that comprise the package. Hardware and software implementation requirements are discussed. In addition, hand calculations of three sample situations (problems) with associated computer runs used for the verification of program calculations are included.

  15. Rank deficiency and Tikhonov regularization in the inverse problem for gravitational-wave bursts

    E-Print Network [OSTI]

    Malik Rakhmanov

    2006-09-19T23:59:59.000Z

    Coherent techniques for searches of gravitational-wave bursts effectively combine data from several detectors, taking into account differences in their responses. The efforts are now focused on the maximum likelihood principle as the most natural way to combine data, which can also be used without prior knowledge of the signal. Recent studies however have shown that straightforward application of the maximum likelihood method to gravitational waves with unknown waveforms can lead to inconsistencies and unphysical results such as discontinuity in the residual functional, or divergence of the variance of the estimated waveforms for some locations in the sky. So far the solutions to these problems have been based on rather different physical arguments. Following these investigations, we now find that all these inconsistencies stem from rank deficiency of the underlying network response matrix. In this paper we show that the detection of gravitational-wave bursts with a network of interferometers belongs to the category of ill-posed problems. We then apply the method of Tikhonov regularization to resolve the rank deficiency and introduce a minimal regulator which yields a well-conditioned solution to the inverse problem for all locations on the sky.

  16. Scoping Studies to Evaluate the Benefits of an Advanced Dry Feed System on the Use of Low-Rank Coal

    SciTech Connect (OSTI)

    Rader, Jeff; Aguilar, Kelly; Aldred, Derek; Chadwick, Ronald; Conchieri, John; Dara, Satyadileep; Henson, Victor; Leininger, Tom; Liber, Pawel; Liber, Pawel; Lopez-Nakazono, Benito; Pan, Edward; Ramirez, Jennifer; Stevenson, John; Venkatraman, Vignesh

    2012-03-30T23:59:59.000Z

    The purpose of this project was to evaluate the ability of advanced low rank coal gasification technology to cause a significant reduction in the COE for IGCC power plants with 90% carbon capture and sequestration compared with the COE for similarly configured IGCC plants using conventional low rank coal gasification technology. GE’s advanced low rank coal gasification technology uses the Posimetric Feed System, a new dry coal feed system based on GE’s proprietary Posimetric Feeder. In order to demonstrate the performance and economic benefits of the Posimetric Feeder in lowering the cost of low rank coal-fired IGCC power with carbon capture, two case studies were completed. In the Base Case, the gasifier was fed a dilute slurry of Montana Rosebud PRB coal using GE’s conventional slurry feed system. In the Advanced Technology Case, the slurry feed system was replaced with the Posimetric Feed system. The process configurations of both cases were kept the same, to the extent possible, in order to highlight the benefit of substituting the Posimetric Feed System for the slurry feed system.

  17. Environmental restoration risk-based prioritization work package planning and risk ranking methodology. Revision 2

    SciTech Connect (OSTI)

    Dail, J.L.; Nanstad, L.D.; White, R.K.

    1995-06-01T23:59:59.000Z

    This document presents the risk-based prioritization methodology developed to evaluate and rank Environmental Restoration (ER) work packages at the five US Department of Energy, Oak Ridge Field Office (DOE-ORO) sites [i.e., Oak Ridge K-25 Site (K-25), Portsmouth Gaseous Diffusion Plant (PORTS), Paducah Gaseous Diffusion Plant (PGDP), Oak Ridge National Laboratory (ORNL), and the Oak Ridge Y-12 Plant (Y-12)], the ER Off-site Program, and Central ER. This prioritization methodology was developed to support the increased rigor and formality of work planning in the overall conduct of operations within the DOE-ORO ER Program. Prioritization is conducted as an integral component of the fiscal ER funding cycle to establish program budget priorities. The purpose of the ER risk-based prioritization methodology is to provide ER management with the tools and processes needed to evaluate, compare, prioritize, and justify fiscal budget decisions for a diverse set of remedial action, decontamination and decommissioning, and waste management activities. The methodology provides the ER Program with a framework for (1) organizing information about identified DOE-ORO environmental problems, (2) generating qualitative assessments of the long- and short-term risks posed by DOE-ORO environmental problems, and (3) evaluating the benefits associated with candidate work packages designed to reduce those risks. Prioritization is conducted to rank ER work packages on the basis of the overall value (e.g., risk reduction, stakeholder confidence) each package provides to the ER Program. Application of the methodology yields individual work package ``scores`` and rankings that are used to develop fiscal budget requests. This document presents the technical basis for the decision support tools and process.

  18. Auxiliary rank-3 "massless" spin-2 field in de Sitter space

    E-Print Network [OSTI]

    Elmizadeh, Marjan

    2015-01-01T23:59:59.000Z

    In Ref. \\cite{binegar}, from the group theoretical point of view, it was shown that the linear conformal gravity can be written in terms of a mixed symmetry tensor field of rank-3. It was proved that this kind of tensor field in de Sitter background associates with two unitary irreducible representations (UIR) of the de Sitter group. The important fact is that one of the them has a flat limit, namely, in zero curvature coincides to the UIR of Poincar\\'e group which has been studied in Ref. \\cite{fatemi}. However, the second one which is named as auxiliary field, becomes significant in the study of conformal gravity in de Sitter background. In this paper we will study the second representation in details by finding its field equations, solutions and also the conformally invariant two-point function.

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

    E-Print Network [OSTI]

    Bruillard, Paul Joseph

    2013-05-23T23:59:59.000Z

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

  20. Sequoia ranked third in TOP500 list | National Nuclear Security

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNational Nuclearhas 'Natitude'SecurityAdministration ranked third in TOP500 list

  1. EA-1744: Finding of No Significant Impact | 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:Year in Review: TopEnergy DOEDealingVehicle1 Closing the2-A Dynegy-A Duke42S:32:FinalFinding of

  2. EA-1903: Finding of No Significant Impact | 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:Year in Review: TopEnergy DOEDealingVehicle1 Closing the2-A Dynegy-A7: H.Q6 New891:2:Finding of

  3. EA-1956: Finding of No Significant Impact | 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:Year in Review: TopEnergy DOEDealingVehicle1 Closing the2-AFinalErrata Sheet6: Finding of No

  4. EA-1965: Finding of No Significant Impact | 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:Year in Review: TopEnergy DOEDealingVehicle1 Closing the2-AFinalErrata Sheet6: Finding5:

  5. EA-1984: Finding of No Significant Impact | 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:Year in Review: TopEnergy DOEDealingVehicle1 Closing the2-AFinalErrata4:Department of4: Finding

  6. EA-1994: Finding of No Significant Impact | 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:Year in Review: TopEnergy DOEDealingVehicle1 Closing the2-AFinalErrata4:DepartmentFinalFinding

  7. Findings of No Significant Impact (FONSI) | 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:YearRound-UpHeat PumpRecordFederal Registry CommentsOverview »FINDING OF NO SIGNIFICANTNovember 5,

  8. Findings of No Significant Impact (FONSI) | 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:YearRound-UpHeat PumpRecordFederal Registry CommentsOverview »FINDING OF NO SIGNIFICANTNovember

  9. Findings of No Significant Impact (FONSI) | 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:YearRound-UpHeat PumpRecordFederal Registry CommentsOverview »FINDING OF NO

  10. Finding Alternative Water Sources for Power Plants with Google Earth |

    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:YearRound-UpHeat PumpRecordFederal Registry CommentsOverview » FinancingEnergy Find the

  11. Findings of No Significant Impact (FONSI) | 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:YearRound-UpHeat PumpRecordFederal Registry CommentsOverview »FINDING OF NO SIGNIFICANT

  12. EA-1584: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADA andDriving5-FEB.55: Finding4: Final6:

  13. EA-1640: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action PlanMitigation0: Finding of No

  14. EA-1656: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action50: FinalDepartment ofFinding

  15. EA-1663: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action50: FinalDepartmentFinding of

  16. EA-1670: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action50:0: Finding of No Significant

  17. EA-1677: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action50:0: Finding of No6:

  18. EA-1680: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action50:0:0: Finding of No

  19. EA-1683: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action50:0:0: Finding of

  20. EA-1690: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action50:0:0: FindingProduction0:

  1. EA-1692: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action50:0:0: FindingProduction0:2:

  2. EA-1696: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action50:0:0:6: Finding of No

  3. EA-1697: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action50:0:0:6: Finding of NoFinal7:

  4. EA-1698: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action50:0:0:6: Finding of

  5. EA-1699: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action50:0:0:6: Finding

  6. EA-1706: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation Action50:0:0:6:MitigationFinding of

  7. EA-1710: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: Revised Draft0: Finding of No

  8. EA-1711: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: Revised Draft0: Finding of No1:

  9. EA-1712: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: Revised Draft0: Finding of No1:2:

  10. EA-1713: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: Revised Draft0: Finding of No1:2:3:

  11. EA-1715: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: Revised Draft0: Finding of5:

  12. EA-1716: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: Revised Draft0: Finding of5:6:

  13. EA-1717: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: Revised Draft0: Finding of5:6:7:

  14. EA-1718: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: Revised Draft0: Finding of5:6:7:8:

  15. EA-1723: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: Revised Draft0:: Finding of No

  16. EA-1726: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: Revised Draft0:: Finding of6:

  17. EA-1729: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: Revised Draft0::9: Finding of No

  18. EA-1731: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: Revised Draft0::9: Finding

  19. EA-1736: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: RevisedMonroe, LA |Finding of No

  20. EA-1737: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: RevisedMonroe, LA |Finding of7:

  1. EA-1742: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: RevisedMonroe, LA2: Finding of No

  2. EA-1743: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: RevisedMonroe, LA2: Finding of No3:

  3. EA-1746: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: RevisedMonroe, LA2: Finding of6:

  4. EA-1747: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: RevisedMonroe, LA2: Finding of6:7:

  5. EA-1748: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: RevisedMonroe, LA2: Finding

  6. EA-1759: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: RevisedMonroe,Mitigation:9: Finding

  7. EA-1763: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding of No Significant Impact

  8. EA-1767: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding of No Significant7:

  9. EA-1779: Finding of No Significant Impact and Environmental Assessment |

    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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding ofDraftDepartment of

  10. EA-1800: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8: Final EnvironmentalFinding of

  11. EA-1801: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8: Final EnvironmentalFinding1:

  12. EA-1802: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8: Final2: Finding of No

  13. EA-1804: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8: Final2: Finding of NoFinal4:

  14. EA-1807: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8: Final2: Finding of NoFinal4:7:

  15. EA-1810: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8: Final2: FindingAvailability0:

  16. EA-1818: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8: Final2:Final||Finding of No

  17. EA-1819: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8: Final2:Final||Finding of No9:

  18. EA-1820: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8: Final2:Final||Finding of No9:0:

  19. EA-1827: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8:4: Record Hill Wind7: Finding of

  20. EA-1832: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8:4: Record Hill2: Finding of No

  1. EA-1833: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8:4: Record Hill2: Finding of No3:

  2. EA-1834: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8:4: Record Hill2: Finding of

  3. EA-1836: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8:4: Record Hill2: Finding6:

  4. EA-1837: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8:4: Record Hill2: Finding6:7:

  5. EA-1840: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8:4: Record Hill2:CA |Finding of

  6. EA-1846: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8:4: Record Hill2:CAFinalFinding

  7. EA-1848: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8:4: RecordFinding of No

  8. EA-1853: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8:4:2: Notice of ScopingFinding of

  9. EA-1862: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8:4:2:Finding of

  10. EA-1881: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final Environmental Assessment EA-1875: FinalImpactofFinding

  11. EA-1884: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final Environmental Assessment EA-1875:4: DraftFinding of No

  12. EA-1887: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final Environmental Assessment EA-1875:4:Final7: Finding of

  13. EA-1894: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final Environmental AssessmentFinalFinal EnvironmentalFinding

  14. EA-1900: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final EnvironmentalFinding of No Significant Impact EA-1900:

  15. EA-1905: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final EnvironmentalFinding of NoDraft5: Final

  16. EA-1906: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final EnvironmentalFinding of NoDraft5:

  17. EA-1907: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final EnvironmentalFinding of NoDraft5:Final

  18. EA-1938: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final EnvironmentalFindingDraft Environmental5:Final8:

  19. EA-1960: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final9: Draft Environmental Assessment EA-1959:Finding of No

  20. EA-1964: FInding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final9: Draft Environmental AssessmentFInding of No

  1. EA-2003: Finding of No Significant Impact | 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:YearRound-UpHeat Pump Models |Conduct,Final9: DraftPlant, Amarillo, Texas |2: FinalFinalFinding of

  2. E-Print Network 3.0 - accurate low-rank matrix Sample Search...

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

    low-rank matrix Search Powered by Explorit Topic List Advanced Search Sample search results for: accurate low-rank matrix Page: << < 1 2 3 4 5 > >> 1 Robust PCA Based Extended...

  3. Analog Rank-Order Filter using multiple-winners-take-all.

    E-Print Network [OSTI]

    Dake, Luthuli Edem

    2012-01-01T23:59:59.000Z

    ??I present an analog VLSI Rank Order Filter (ROF), capable of ranking a wide array of inputs. Implementation is achieved using two multiple-winners-take-all blocks that… (more)

  4. From seven to eleven: Completely positive matrices with high cp-rank

    E-Print Network [OSTI]

    2014-06-19T23:59:59.000Z

    rank. An n × n matrix M is said to be completely positive if there exists a ... cp-rank of M, cpr M, is the minimum number of columns in such a nonnegative factor V ...

  5. On the exact separation of rank inequalities for the maximum stable ...

    E-Print Network [OSTI]

    2014-08-23T23:59:59.000Z

    Aug 23, 2014 ... known for the problem can be seen as rank inequalities in which G[U] is ... In this work, we first formulate the separation problem of rank ...

  6. SMALL CHV´ATAL RANK 1. Introduction The study of integer hulls ...

    E-Print Network [OSTI]

    2007-06-22T23:59:59.000Z

    of rational polyhedra called the small Chvátal rank (SCR). The SCR of ... SCR of A is bounded above by the Chvátal rank of A and is hence finite. We exhibit ...

  7. BETO Ranks High in Biofuels Digest's Top 125 in the Advanced...

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

    BETO Ranks High in Biofuels Digest's Top 125 in the Advanced Bioeconomy BETO Ranks High in Biofuels Digest's Top 125 in the Advanced Bioeconomy February 6, 2015 - 4:18pm Addthis...

  8. Advanced Acid Gas Separation Technology for the Utilization of Low Rank Coals

    SciTech Connect (OSTI)

    Kloosterman, Jeff

    2012-12-31T23:59:59.000Z

    Air Products has developed a potentially ground-breaking technology – Sour Pressure Swing Adsorption (PSA) – to replace the solvent-based acid gas removal (AGR) systems currently employed to separate sulfur containing species, along with CO{sub 2} and other impurities, from gasifier syngas streams. The Sour PSA technology is based on adsorption processes that utilize pressure swing or temperature swing regeneration methods. Sour PSA technology has already been shown with higher rank coals to provide a significant reduction in the cost of CO{sub 2} capture for power generation, which should translate to a reduction in cost of electricity (COE), compared to baseline CO{sub 2} capture plant design. The objective of this project is to test the performance and capability of the adsorbents in handling tar and other impurities using a gaseous mixture generated from the gasification of lower rank, lignite coal. The results of this testing are used to generate a high-level pilot process design, and to prepare a techno-economic assessment evaluating the applicability of the technology to plants utilizing these coals.

  9. Finitely Generated Rank-Ordered Sets as a Model for Type: Dieter Spreen

    E-Print Network [OSTI]

    Spreen, Dieter

    by ESPRIT BRA 7232 1 #12;Rank-preserving functions are such that each approximation of a function value

  10. CO2 Sequestration Potential of Texas Low-Rank Coals

    SciTech Connect (OSTI)

    Duane McVay; Walter Ayers, Jr.; Jerry Jensen; Jorge Garduno; Gonzola Hernandez; Rasheed Bello; Rahila Ramazanova

    2006-08-31T23:59:59.000Z

    Injection of CO{sub 2} in coalbeds is a plausible method of reducing atmospheric emissions of CO{sub 2}, and it can have the additional benefit of enhancing methane recovery from coal. Most previous studies have evaluated the merits of CO{sub 2} disposal in high-rank coals. The objective of this research was to determine the technical and economic feasibility of CO{sub 2} sequestration in, and enhanced coalbed methane (ECBM) recovery from, low-rank coals in the Texas Gulf Coast area. Our research included an extensive coal characterization program, including acquisition and analysis of coal core samples and well transient test data. We conducted deterministic and probabilistic reservoir simulation and economic studies to evaluate the effects of injectant fluid composition (pure CO{sub 2} and flue gas), well spacing, injection rate, and dewatering on CO{sub 2} sequestration and ECBM recovery in low-rank coals of the Calvert Bluff formation of the Texas Wilcox Group. Shallow and deep Calvert Bluff coals occur in two, distinct, coalbed gas petroleum systems that are separated by a transition zone. Calvert Bluff coals < 3,500 ft deep are part of a biogenic coalbed gas system. They have low gas content and are part of a freshwater aquifer. In contrast, Wilcox coals deeper than 3,500 ft are part of a thermogenic coalbed gas system. They have high gas content and are part of a saline aquifer. CO{sub 2} sequestration and ECBM projects in Calvert Bluff low-rank coals of East-Central Texas must be located in the deeper, unmineable coals, because shallow Wilcox coals are part of a protected freshwater aquifer. Probabilistic simulation of 100% CO{sub 2} injection into 20 feet of Calvert Bluff coal in an 80-acre 5-spot pattern indicates that these coals can store 1.27 to 2.25 Bcf of CO{sub 2} at depths of 6,200 ft, with an ECBM recovery of 0.48 to 0.85 Bcf. Simulation results of flue gas injection (87% N{sub 2}-13% CO{sub 2}) indicate that these same coals can store 0.34 to 0.59 Bcf of CO{sub 2} with an ECBM recovery of 0.68 to 1.20 Bcf. Economic modeling of CO{sub 2} sequestration and ECBM recovery indicates predominantly negative economic indicators for the reservoir depths (4,000 to 6,200 ft) and well spacings investigated, using natural gas prices ranging from $2 to $12 per Mscf and CO{sub 2} credits based on carbon market prices ranging from $0.05 to $1.58 per Mscf CO{sub 2} ($1.00 to $30.00 per ton CO{sub 2}). Injection of flue gas (87% N{sub 2} - 13% CO{sub 2}) results in better economic performance than injection of 100% CO{sub 2}. CO{sub 2} sequestration potential and methane resources in low-rank coals of the Lower Calvert Bluff formation in East-Central Texas are significant. The potential CO{sub 2} sequestration capacity of the coals ranges between 27.2 and 49.2 Tcf (1.57 and 2.69 billion tons), with a mean value of 38 Tcf (2.2 billion tons), assuming a 72.4% injection efficiency. Estimates of recoverable methane resources range between 6.3 and 13.6 Tcf, with a mean of 9.8 Tcf, assuming a 71.3% recovery factor. Moderate increases in gas prices and/or carbon credits could generate attractive economic conditions that, combined with the close proximity of many CO{sub 2} point sources near unmineable coalbeds, could enable commercial CO{sub 2} sequestration and ECBM projects in Texas low-rank coals. Additional studies are needed to characterize Wilcox regional methane coalbed gas systems and their boundaries, and to assess potential of other low-rank coal beds. Results from this study may be transferable to other low-rank coal formations and regions.

  11. Rank-Constrained Solutions to Linear Matrix Equations using PowerFactorization

    E-Print Network [OSTI]

    Leahy, Richard M.

    Rank-Constrained Solutions to Linear Matrix Equations using PowerFactorization Authors: Justin P at Urbana-Champaign This is an author preprint of: J. P. Haldar, D. Hernando. "Rank-Constrained Solutions the IEEE. 1 #12;Abstract: Algorithms to construct/recover low-rank matrices satisfying a set of linear

  12. HOW TO RANK THE TOP500 LIST? Lin-Wang Wang

    E-Print Network [OSTI]

    Geddes, Cameron Guy Robinson

    HOW TO RANK THE TOP500 LIST? Lin-Wang Wang Computational Research Division Lawrence Berkeley twice a year for 15 years. So far, the ranking of this list is based solely on the total speed of the computer. With the increased emphasize on power efficiency, one question emerged: how to rank the computers

  13. Rank Tests for the Observability of Discrete-Time Jump Linear Systems with Inputs

    E-Print Network [OSTI]

    Rank Tests for the Observability of Discrete-Time Jump Linear Systems with Inputs Ehsan Elhamifar of rank tests on the parameters of the JLS when the discrete state sequence is arbitrary. Our key verify observ- ability by checking a number of rank tests that is only quadratic in the number

  14. THE UNIVERSITY OF TEXAS AT AUSTIN Date: RECOMMENDATION FOR CHANGE IN ACADEMIC RANK/STATUS

    E-Print Network [OSTI]

    Texas at Austin, University of

    THE UNIVERSITY OF TEXAS AT AUSTIN Date: RECOMMENDATION FOR CHANGE IN ACADEMIC RANK/STATUS Name: EID: Present Rank: Years of Academic Service (Include AY 2014-15 in each count): At UT Austin since: In Present Rank: In Probationary Status (TT only): (month/day/year) (# of years) (# of full

  15. Rank-Related Fitness Differences and Their Demographic Pathways in Semi-Free-Ranging

    E-Print Network [OSTI]

    Blomquist, Greg

    Rank-Related Fitness Differences and Their Demographic Pathways in Semi-Free-Ranging Rhesus survival. We use resampling techniques and van Tienderen's (2000) elasticity path analysis to identify rank-free-ranging rhesus macaque population. Higher-ranking population segments grew at greater rates for some portions

  16. THE UNIVERSITY OF TEXAS AT AUSTIN Date: RECOMMENDATION FOR CHANGE IN ACADEMIC RANK/STATUS

    E-Print Network [OSTI]

    Johnston, Daniel

    THE UNIVERSITY OF TEXAS AT AUSTIN Date: RECOMMENDATION FOR CHANGE IN ACADEMIC RANK/STATUS Name: EID: Present Rank: Years of Academic Service (Include AY 2014-15 in each count): At UT Austin since: In Present Rank: In Probationary Status (TT only): (month/day/year) (# of years) (# of years) Primary Department

  17. TENSOR RANK: MATCHING POLYNOMIALS AND SCHUR DIMA GRIGORIEV, MIKHAIL MUZYCHUK, AND ILYA PONOMARENKO

    E-Print Network [OSTI]

    Grigoriev, Dima

    TENSOR RANK: MATCHING POLYNOMIALS AND SCHUR RINGS DIMA GRIGORIEV, MIKHAIL MUZYCHUK, AND ILYA PONOMARENKO Abstract. We study the polynomial equations vanishing on tensors of a given rank. By means equations on the coefficients of A to vanish on tensors of a given rank. Further, we reduce the study

  18. Efficient and Secure Ranked Multi-Keyword Search on Encrypted Cloud Data

    E-Print Network [OSTI]

    Yanikoglu, Berrin

    Efficient and Secure Ranked Multi-Keyword Search on Encrypted Cloud Data Cengiz Ă?rencik Faculty and reveal information about sensitive search terms. A related protocol, Private Information Retrieval (PIR-preserving ranked keyword search scheme based on PIR that allows multi-keyword queries with rank- ing capability

  19. Low-rank coal research: Volume 3, Combustion research: Final report. [Great Plains

    SciTech Connect (OSTI)

    Mann, M. D.; Hajicek, D. R.; Zobeck, B. J.; Kalmanovitch, D. P.; Potas, T. A.; Maas, D. J.; Malterer, T. J.; DeWall, R. A.; Miller, B. G.; Johnson, M. D.

    1987-04-01T23:59:59.000Z

    Volume III, Combustion Research, contains articles on fluidized bed combustion, advanced processes for low-rank coal slurry production, low-rank coal slurry combustion, heat engine utilization of low-rank coals, and Great Plains Gasification Plant. These articles have been entered individually into EDB and ERA. (LTN)

  20. Ranking Structured Documents: A Large Margin Based Approach for Patent Prior Art Search

    E-Print Network [OSTI]

    Gomes, Carla P.

    Ranking Structured Documents: A Large Margin Based Approach for Patent Prior Art Search Yunsong Guo propose an approach for automatically rank- ing structured documents applied to patent prior art search. Our model, SVM Patent Ranking (SVMP R) incorporates margin constraints that di- rectly capture

  1. Ranking Bias in Deep Web Size Estimation Using Capture Recapture Method

    E-Print Network [OSTI]

    Lu, Jianguo

    Ranking Bias in Deep Web Size Estimation Using Capture Recapture Method Jianguo Lu Preprint submitted to Elsevier March 12, 2010 #12;Ranking Bias in Deep Web Size Estimation Using Capture Recapture, Canada. email: jlu@uwindsor.ca Abstract Many deep web data sources are ranked data sources, i

  2. Finding beam focus errors automatically

    SciTech Connect (OSTI)

    Lee, M.J.; Clearwater, S.H.; Kleban, S.D.

    1987-01-01T23:59:59.000Z

    An automated method for finding beam focus errors using an optimization program called COMFORT-PLUS. The steps involved in finding the correction factors using COMFORT-PLUS has been used to find the beam focus errors for two damping rings at the SLAC Linear Collider. The program is to be used as an off-line program to analyze actual measured data for any SLC system. A limitation on the application of this procedure is found to be that it depends on the magnitude of the machine errors. Another is that the program is not totally automated since the user must decide a priori where to look for errors. (LEW)

  3. On the natural radionuclides distribution in Romanian coals of different type and rank

    SciTech Connect (OSTI)

    Georgescu, I.I.; Barca, F.; Panaitescu, C. [Univ. Politehnica Bucharest (Romania)

    1995-12-31T23:59:59.000Z

    The paper presents the natural radionuclides distribution in the Romanian coals of different type and rank, from peats to bituminous coals, in comparison with their concentrations in the sedimentary metamorphic rocks. Discussions are carried out on the following principal elements that include the natural radioactive isotopes: K, La, Sm, Lu, Re and the natural radioactive families of U, Ra, and Th. The stable microelements ppm in the coals were investigated by the Instrumental Neutron Activation Analysis (INAA), carried out at the VVRS 2 Reactor of the Atomic Physics Institute of Bucharest (Romania), as well as by UV spectral analysis. They have indicated a maximum concentration of these elements in the lignites. It must be outlined that the peats have the lowest concentration of these elements, taking into account the ionic exchange possibility into the peat beds. The concentration of the macro- and microelements included in the metamorphic rocks and in the terrestrial crust as a whole is compared with obtained results.

  4. One-dimensional Brownian particle systems with rank dependent drifts

    E-Print Network [OSTI]

    Pal, Soumik

    2007-01-01T23:59:59.000Z

    We study interacting systems of linear Brownian motions whose drift vector at every time point is determined by the relative ranks of the coordinate processes at that time. Our main objective has been to study the long range behavior of the spacings between the particles in increasing order. For finite systems, we characterize drifts for which the spacing system remains stable, and show its convergence to a unique stationary joint distribution given by independent exponential distributions with varying means. We also study one particular countably infinite system, where only the minimum Brownian particle gets a constant upward drift, and prove that independent and identically distributed exponential spacings remain stationary under the dynamics of such a process. Some related conjectures in this direction have also been discussed.

  5. CO2 SEQUESTRATION POTENTIAL OF TEXAS LOW-RANK COALS

    SciTech Connect (OSTI)

    Duane A. Mcvay; Walter B. Ayers, Jr.; Jerry L. Jensen

    2004-02-01T23:59:59.000Z

    The objectives of this project are to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (CBM) recovery as an added benefit of sequestration. The primary objectives for this reporting period were to construct a coal geological model for reservoir analysis and to continue modeling studies of CO{sub 2} sequestration performance in coalbed methane reservoirs under various operational conditions. Detailed correlation of coal zones is important for reservoir analysis and modeling. Therefore, we interpreted and created isopleth maps of coal occurrences, and correlated individual coal seams within the coal bearing subdivisions of the Wilcox Group--the Hooper, Simsboro and Calvert Bluff formations. Preliminary modeling studies were run to determine if gravity effects would affect the performance of CO{sub 2} sequestration in coalbed methane reservoirs. Results indicated that gravity could adversely affect sweep efficiency and, thus, volumes of CO{sub 2} sequestered and methane produced in thick, vertically continuous coals. Preliminary modeling studies were also run to determine the effect of injection gas composition on sequestration in low-rank coalbeds. Injected gas composition was varied from pure CO{sub 2} to pure N{sub 2}, and results show that increasing N{sub 2} content degrades CO{sub 2} sequestration and methane production performance. We have reached a Data Exchange Agreement with Anadarko Petroleum Corporation. We are currently incorporating the Anadarko data into our work, and expect these data to greatly enhance the accuracy and value of our studies.

  6. CO2 Sequestration Potential of Texas Low-Rank Coals

    SciTech Connect (OSTI)

    Duane A. McVay; Walter B. Ayers, Jr; Jerry L. Jensen

    2006-05-01T23:59:59.000Z

    The objectives of this project are to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (ECBM) recovery as an added benefit of sequestration. The main objectives for this reporting period were to (1) determine the effects of permeability anisotropy on performance of CO{sub 2} sequestration and ECBM production in the Lower Calvert Bluff Formation (LCB) of the Wilcox Group coals in east-central Texas, and (2) begin reservoir and economic analyses of CO{sub 2} sequestration and ECBM production using horizontal wells. To evaluate the effects of permeability anisotropy on CO{sub 2} sequestration and ECBM in LCB coal beds, we conducted deterministic reservoir modeling studies of 100% CO{sub 2} gas injection for the 6,200-ft depth base case (Case 1b) using the most likely values of the reservoir parameters. Simulation results show significant differences in the cumulative volumes of CH{sub 4} produced and CO{sub 2} injected due to permeability anisotropy, depending on the orientation of injection patterns relative to the orientation of permeability anisotropy. This indicates that knowledge of the magnitude and orientation of permeability anisotropy will be an important consideration in the design of CO{sub 2} sequestration and ECBM projects. We continued discussions with Anadarko Petroleum regarding plans for additional coal core acquisition and laboratory work to further characterize Wilcox low-rank coals. As part of the technology transfer for this project, we submitted the paper SPE 100584 for presentation at the 2006 SPE Gas Technology Symposium to be held in Calgary, Alberta, Canada on May 15-18, 2006.

  7. Low rank positive partial transpose states and their relation to product vectors

    E-Print Network [OSTI]

    Leif Ove Hansen; Andreas Hauge; Jan Myrheim; Per Řyvind Sollid

    2011-04-08T23:59:59.000Z

    It is known that entangled mixed states that are positive under partial transposition (PPT states) must have rank at least four. In a previous paper we presented a classification of rank four entangled PPT states which we believe to be complete. In the present paper we continue our investigations of the low rank entangled PPT states. We use perturbation theory in order to construct rank five entangled PPT states close to the known rank four states, and in order to compute dimensions and study the geometry of surfaces of low rank PPT states. We exploit the close connection between low rank PPT states and product vectors. In particular, we show how to reconstruct a PPT state from a sufficient number of product vectors in its kernel. It may seem surprising that the number of product vectors needed may be smaller than the dimension of the kernel.

  8. Relative risk-relative ranking in Defense and Energy Department cleanup programs: Comparison of methods, results, and role in priority setting

    SciTech Connect (OSTI)

    Turkeltaub, R. [Office of the Deputy Under Secretary of Defense, Washington, DC (United States); Treichel, L.C. [Dept. of Energy, Germantown, MD (United States). Office of Environmental Restoration; Rowe, W.D. Jr.; Strohl, A.R. [Booz Allen and Hamilton, McLean, VA (United States)

    1996-12-31T23:59:59.000Z

    This paper demonstrates how the Department of Energy (DOE) enhanced their Environmental Restoration Program by modifying the Department of Defense (DoD) Cleanup Program`s Relative Risk Site Evaluation Primer in order to create their own framework, the Relative Ranking Evaluation Framework for EM-40 Release Sites, Facilities and Buildings. In addition, this paper discusses and compares the two frameworks and presents the results of relative risk/relative ranking site evaluations for both agencies through July 1996. The status of agency efforts to implement their respective frameworks also is discussed along with plans for strengthening these initiatives in the coming year.

  9. Writing audit findings: Be reasonable

    SciTech Connect (OSTI)

    Girvin, N.W.

    1992-05-01T23:59:59.000Z

    A customary approach to auditing and reporting deficiencies is to keep a running list of those that are found, evaluate the severity of each, and based on the evidence, document findings or observations or concerns in an audit report. The report is issued and the auditee is normally requested to address root cause'' as part of their corrective action. This paper describes a root problems'' approach to documenting audit findings that is designed not only to put the QA auditor in a more favorable light, but to more effectively enable the auditee to identify root cause and meaningful corrective action. The positive results of this approach are considerable. You will have fewer findings but those you do have will be substantial. You will cite requirements that sound reasonable and make arguments difficult. If some of the supporting deficiencies (examples) prove to be incorrect, you will still have ample support for the original finding. You will be seen as reasonable individual who can help lead the auditee towards identification of root cause without taking away part of the responsibility. You even have a fair chance of fostering a sense of commitment to quality improvement on the auditee's part. This in itself, is its own reward.

  10. Writing audit findings: Be reasonable!

    SciTech Connect (OSTI)

    Girvin, N.W.

    1992-05-01T23:59:59.000Z

    A customary approach to auditing and reporting deficiencies is to keep a running list of those that are found, evaluate the severity of each, and based on the evidence, document findings or observations or concerns in an audit report. The report is issued and the auditee is normally requested to address ``root cause`` as part of their corrective action. This paper describes a ``root problems`` approach to documenting audit findings that is designed not only to put the QA auditor in a more favorable light, but to more effectively enable the auditee to identify root cause and meaningful corrective action. The positive results of this approach are considerable. You will have fewer findings but those you do have will be substantial. You will cite requirements that sound reasonable and make arguments difficult. If some of the supporting deficiencies (examples) prove to be incorrect, you will still have ample support for the original finding. You will be seen as reasonable individual who can help lead the auditee towards identification of root cause without taking away part of the responsibility. You even have a fair chance of fostering a sense of commitment to quality improvement on the auditee`s part. This in itself, is its own reward.

  11. Petrographic characterization of Kentucky coals: relationship between sporinite spectral fluorescence and coal rank of selected western Kentucky coals. Final report, Part I. [Vitrinite

    SciTech Connect (OSTI)

    Poe, S.H.; Hower, J.C.

    1983-01-01T23:59:59.000Z

    A total of 43 coal samples were analyzed - the majority from western Kentucky, with a few from Pennsylvania for comparative purposes - using quantitative fluorescence microscopy of sporinite to determine if coal rank as determined by vitrinite maximum reflectance could be predicted by data gathered from selected fluorescence parameters. All eight parameters (wavelength of highest intensity, area under curve to the left of the peak, area in the blue wavelengths (400 to 500 nm), green (500 to 570 nm), yellow (570 to 630 nm), blue-red ratio, and red-green ratio were found to statistically predict coal rank. The general research hypothesis, which included all the variables, had a R/sup 2/ = 0.354. The results of the step-wise regression yielded red and yellow (collective R/sup 2/ = 0.341) as the best predictor variables of coal rank. The individual parameters of area of red wavelength and blue-red ratio accounted for the greatest variance in predicting coal rank, while the parameter yellow area was the least predictive of coal rank. 31 references, 7 figures, 5 tables.

  12. Catalytic steam gasification reactivity of HyperCoals produced from different rank of coals at 600-775{degree}C

    SciTech Connect (OSTI)

    Atul Sharma; Ikuo Saito; Toshimasa Takanohashi [National Institute of Advanced Industrial Science and Technology, Ibaraki (Japan). Advanced Fuel Group, Energy Technology Research Institute

    2008-11-15T23:59:59.000Z

    HyperCoal is a clean coal with ash content <0.05 wt %. HyperCoals were prepared from a brown coal, a sub-bituminous coal, and a bituminous raw coal by solvent extraction method. Catalytic steam gasification of these HyperCoals was carried out with K{sub 2}CO{sub 3} at 775, 700, 650, and 600 {degree}C, and their rates were compared. HyperCoals produced from low-rank coals were more reactive than those produced from the high-rank coals. XRD measurements were carried out to understand the difference in gasification reactivity of HyperCoals. Arrhenius plot of ln (k) vs 1/T in the temperature range 600-825{degree}C was a curve rather than a straight line. The point of change was observed at 700{degree}C for HyperCoals from low-rank coals and at 775{degree}C for HyperCoals from high-rank coals. Using HyperCoal produced from low-rank coals as feedstock, steam gasification of coal may be possible at temperatures less than 650{degree}C. 22 refs., 6 figs., 2 tabs.

  13. CO2 Sequestration Potential of Texas Low-Rank Coals

    SciTech Connect (OSTI)

    Duane A. McVay; Walter B. Ayers, Jr.; Jerry L. Jensen

    2004-04-01T23:59:59.000Z

    The objectives of this project are to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (CBM) recovery as an added benefit of sequestration. The primary objectives for this reporting period were to construct a coal geological model for reservoir analysis and to continue acquisition of data pertinent to coal characterization that would help in determining the feasibility of carbon dioxide sequestration. Structural analysis and detailed correlation of coal zones are important for reservoir analysis and modeling. Evaluation of existing well logs indicates local structural complexity that complicates interpretations of continuity of the Wilcox Group coal zones. Therefore, we have begun searching for published structural maps for the areas of potential injection CO{sub 2}, near the coal-fired power plants. Preliminary evaluations of data received from Anadarko Petroleum Corporation suggest that coal properties and gas content and chemical composition vary greatly among coal seams. We are assessing the stratigraphic and geographic distributions and the weight of coal samples that Anadarko has provided to select samples for further laboratory analysis. Our goal is to perform additional isotherm analyses with various pure and/or mixed gases to enhance our characterization model. Additionally, we are evaluating opportunities for field determination of permeability with Anadarko, utilizing one of their wells.

  14. CO2 SEQUESTRATION POTENTIAL OF TEXAS LOW-RANK COALS

    SciTech Connect (OSTI)

    Duane A. McVay; Walter B. Ayers, Jr.; Jerry L. Jensen

    2003-02-01T23:59:59.000Z

    The objectives of this project are to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (CBM) recovery as an added benefit of sequestration. The main objectives for this reporting period were to work on Tasks 1 and 2, which consisted of the following subtasks: review literature on CO{sub 2} sequestration and the effect of CO{sub 2} injection on methane production from coalbeds; acquire information on power plant flue gas emissions; acquire data on Texas coal occurrences and properties and formation water quality; construct a digital base map; and select geographic areas and geologic formations for study. Flue gas information, including volumes and compositions, were obtained for major Texas power plants and other industrial sources, such as cement plants. We evaluated and obtained computer mapping software and began building a digital base map that will be used to depict industrial emissions, coal occurrence, and water quality information. Digital data sets allow us to superpose data for visualization and for assessment of CO{sub 2}sequestration issues.

  15. Low-rank coal research. Quarterly report, January--March 1990

    SciTech Connect (OSTI)

    Not Available

    1990-08-01T23:59:59.000Z

    This document contains several quarterly progress reports for low-rank coal research that was performed from January-March 1990. Reports in Control Technology and Coal Preparation Research are in Flue Gas Cleanup, Waste Management, and Regional Energy Policy Program for the Northern Great Plains. Reports in Advanced Research and Technology Development are presented in Turbine Combustion Phenomena, Combustion Inorganic Transformation (two sections), Liquefaction Reactivity of Low-Rank Coals, Gasification Ash and Slag Characterization, and Coal Science. Reports in Combustion Research cover Fluidized-Bed Combustion, Beneficiation of Low-Rank Coals, Combustion Characterization of Low-Rank Coal Fuels, Diesel Utilization of Low-Rank Coals, and Produce and Characterize HWD (hot-water drying) Fuels for Heat Engine Applications. Liquefaction Research is reported in Low-Rank Coal Direct Liquefaction. Gasification Research progress is discussed for Production of Hydrogen and By-Products from Coal and for Chemistry of Sulfur Removal in Mild Gas.

  16. EA-1916: Notice of Availability of a Finding of No Significant Impact |

    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:YearRound-UpHeat Pump Models |Conduct,Final EnvironmentalFinding ofFinding ofDepartmentFinding

  17. Rank Transforms and Tests of Interaction for Repeated Measures Experiments with Various Covariance Structures.

    E-Print Network [OSTI]

    Bryan, Jennifer Joanne

    2009-01-01T23:59:59.000Z

    ??The covariance structure of a repeated measures design can be simple or very complicated. In analyzing repeated measures, rank transformations can be an alternative to… (more)

  18. Exact Low-rank Matrix Recovery via Nonconvex Mp-Minimization

    E-Print Network [OSTI]

    Lingchen Kong

    2011-04-21T23:59:59.000Z

    Apr 21, 2011 ... Abstract: The low-rank matrix recovery (LMR) arises in many fields such as signal and image processing, statistics, computer vision, system ...

  19. Four Generated Rank 2 Arithmetically Cohen-Macaulay Vector Bundles on General Sextic Surfaces.

    E-Print Network [OSTI]

    Deng, Wei

    2013-01-01T23:59:59.000Z

    ??In this dissertation, we compute the dimension of the moduli space, of four generated indecomposable rank 2 arithmetically Cohen-Macaulay: ACM for short) bundles on a… (more)

  20. Necessary and Sufficient Conditions for Success of the Nuclear Norm Heuristic for Rank Minimization

    E-Print Network [OSTI]

    Recht, Ben

    Necessary and Sufficient Conditions for Success of the Nuclear Norm Heuristic for Rank Minimization this distribution satisfy our conditions for success with overwhelming probability provided the number

  1. Optimization Online - An FPTAS for Optimizing a Class of Low-Rank ...

    E-Print Network [OSTI]

    Shashi Mittal

    2011-09-07T23:59:59.000Z

    Sep 7, 2011 ... An FPTAS for Optimizing a Class of Low-Rank Functions Over a Polytope. Shashi Mittal (mshashi ***at*** alum.mit.edu) Andreas S. Schulz ...

  2. AROUND KING'S RANK-ONE THEOREMS: FLOWS AND ELISE JANVRESSE, THIERRY DE LA RUE, AND VALERY RYZHIKOV

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    AROUND KING'S RANK-ONE THEOREMS: FLOWS AND Zn -ACTIONS ´ELISE JANVRESSE, THIERRY DE LA RUE, AND VALERY RYZHIKOV Abstract. We study the generalizations of Jonathan King's rank-one theo- rems (Weak-Closure Theorem and rigidity of factors) to the case of rank-one R-actions (flows) and rank-one Zn-actions. We

  3. CO2 SEQUESTRATION POTENTIAL OF TEXAS LOW-RANK COALS

    SciTech Connect (OSTI)

    Duane A. McVay; Walter B. Ayers Jr.; Jerry L. Jensen

    2003-10-01T23:59:59.000Z

    The objectives of this project are to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (CBM) recovery as an added benefit of sequestration. The main objective for this reporting period was to further characterize the three areas selected as potential CO{sub 2} sequestration sites. Well-log data are critical for defining depth, thickness, number, and grouping of coal seams at the proposed sequestration sites. Thus, we purchased 12 hardcopy well logs (in addition to 15 well logs obtained during previous quarter) from a commercial source and digitized them to make coal-occurrence maps and cross sections. Detailed correlation of coal zones is important for reservoir analysis and modeling. Thus, we correlated and mapped Wilcox Group subdivisions--the Hooper, Simsboro and Calvert Bluff formations, as well as the coal-bearing intervals of the Yegua and Jackson formations in well logs. To assess cleat properties and describe coal characteristics, we made field trips to Big Brown and Martin Lake coal mines. This quarter we also received CO{sub 2} and methane sorption analyses of the Sandow Mine samples, and we are assessing the results. GEM, a compositional simulator developed by the Computer Modeling Group (CMG), was selected for performing the CO{sub 2} sequestration and enhanced CBM modeling tasks for this project. This software was used to conduct preliminary CO{sub 2} sequestration and methane production simulations in a 5-spot injection pattern. We are continuing to pursue a cooperative agreement with Anadarko Petroleum, which has already acquired significant relevant data near one of our potential sequestration sites.

  4. CO2 Sequestration Potential of Texas Low-Rank Coals

    SciTech Connect (OSTI)

    Duane A. McVay; Walter B. Ayers Jr; Jerry L. Jensen

    2003-07-01T23:59:59.000Z

    The objective of this project is to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (CBM) recovery as an added benefit of sequestration. The main objectives for this reporting period were to further characterize the three areas selected as potential test sites, to begin assessing regional attributes of natural coal fractures (cleats), which control coalbed permeability, and to interview laboratories for coal sample testing. An additional objective was to initiate discussions with an operating company that has interests in Texas coalbed gas production and CO{sub 2} sequestration potential, to determine their interest in participation and cost sharing in this project. Well-log data are critical for defining depth, thickness, number, and grouping of coal seams at the proposed sequestration sites. Therefore, we purchased 15 well logs from a commercial source to make coal-occurrence maps and cross sections. Log suites included gamma ray (GR), self potential (SP), resistivity, sonic, and density curves. Other properties of the coals in the selected areas were collected from published literature. To assess cleat properties and describe coal characteristics, we made field trips to a Jackson coal outcrop and visited Wilcox coal exposures at the Sandow surface mine. Coal samples at the Sandow mine were collected for CO{sub 2} and methane sorption analyses. We contacted several laboratories that specialize in analyzing coals and selected a laboratory, submitting the Sandow Wilcox coals for analysis. To address the issue of cost sharing, we had fruitful initial discussions with a petroleum corporation in Houston. We reviewed the objectives and status of this project, discussed data that they have already collected, and explored the potential for cooperative data acquisition and exchange in the future. We are pursuing a cooperative agreement with them.

  5. CO2 SEQUESTRATION POTENTIAL OF TEXAS LOW-RANK COALS

    SciTech Connect (OSTI)

    Duane A. McVay; Walter B. Ayers Jr.; Jerry L. Jensen

    2005-05-01T23:59:59.000Z

    The objectives of this project are to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (CBM) recovery as an added benefit of sequestration. The main objective for this reporting period was to perform pressure transient testing to determine permeability of deep Wilcox coal to use as additional, necessary data for modeling performance of CO{sub 2} sequestration and enhanced coalbed methane recovery. To perform permeability testing of the Wilcox coal, we worked with Anadarko Petroleum Corporation in selecting the well and intervals to test and in designing the pressure transient test. Anadarko agreed to allow us to perform permeability tests in coal beds in an existing shut-in well (Well APCT2). This well is located in the region of the Sam K. Seymour power station, a site that we earlier identified as a major point source of CO{sub 2} emissions. A service company, Pinnacle Technologies Inc. (Pinnacle) was contracted to conduct the tests in the field. Intervals tested were 2 coal beds with thicknesses of 3 and 7 feet, respectively, at approximately 4,100 ft depth in the Lower Calvert Bluff Formation of the Wilcox Group in east-central Texas. Analyses of pressure transient test data indicate that average values for coalbed methane reservoir permeability in the tested coals are between 1.9 and 4.2 mD. These values are in the lower end of the range of permeability used in the preliminary simulation modeling. These new coal fracture permeability data from the APCT2 well, along with the acquired gas compositional analyses and sorption capacities of CO{sub 2}, CH{sub 4}, and N{sub 2}, complete the reservoir description phase of the project. During this quarter we also continued work on reservoir and economic modeling to evaluate performance of CO{sub 2} sequestration and enhanced coalbed methane recovery.

  6. Find Jobs | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power SystemsResourcesFLASH2011-11-OPAMFY 2007 TotalFinalJobs Find Jobs Clean energy jobs can be

  7. CO2 SEQUESTRATION POTENTIAL OF TEXAS LOW-RANK COALS

    SciTech Connect (OSTI)

    Duane A. McVay; Walter B. Ayers, Jr.; Jerry L. Jensen

    2004-07-01T23:59:59.000Z

    The objectives of this project are to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (CBM) recovery as an added benefit of sequestration. The main tasks for this reporting period were to correlate well logs and refine coal property maps, evaluate methane content and gas composition of Wilcox Group coals, and initiate discussions concerning collection of additional, essential data with Anadarko. To assess the volume of CO{sub 2} that may be sequestered and volume of methane that can be produced in the vicinity of the proposed Sam Seymour sequestration site, we used approximately 200 additional wells logs from Anadarko Petroleum Corp. to correlate and map coal properties of the 3 coal-bearing intervals of Wilcox group. Among the maps we are making are maps of the number of coal beds, number of coal beds greater than 5 ft thick, and cumulative coal thickness for each coal interval. This stratigraphic analysis validates the presence of abundant coal for CO{sub 2} sequestration in the Wilcox Group in the vicinity of Sam Seymour power plant. A typical wellbore in this region may penetrate 20 to 40 coal beds with cumulative coal thickness between 80 and 110 ft. Gas desorption analyses of approximately 75 coal samples from the 3 Wilcox coal intervals indicate that average methane content of Wilcox coals in this area ranges between 216 and 276 scf/t, basinward of the freshwater boundary indicated on a regional hydrologic map. Vitrinite reflectance data indicate that Wilcox coals are thermally immature for gas generation in this area. Minor amounts of biogenic gas may be present, basinward of the freshwater line, but we infer that most of the Wilcox coalbed gas in the deep coal beds is migrated thermogenic gas. Analysis based on limited data suggest that sites for CO{sub 2} sequestration and enhanced coalbed gas recovery should be located basinward of the Wilcox freshwater contour, where methane content is high and the freshwater aquifer can be avoided.

  8. HEALTH, SAFETY AND ENVIRONMENT MANAGEMENT SYSTEM : A METHOD FOR RANKING IMPACTS IN SMALL AND MEDIUM

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    99-57 HEALTH, SAFETY AND ENVIRONMENT MANAGEMENT SYSTEM : A METHOD FOR RANKING IMPACTS IN SMALL AND MEDIUM ENTERPRISES A. Accorsi', J.P. Pineau, A. Prats l. INERIS, Vemeuil-en-Halatte, France Key words : safety management System, ranking, health, safety, environment ABSTRACT ELF ATOCHEM and INERIS have

  9. EXPERIENCE USING PHENOMENA IDENTIFICATION AND RANKING TECHNIQUE (PIRT) FOR NUCLEAR ANALYSIS.

    SciTech Connect (OSTI)

    DIAMOND, DAVID J.

    2006-06-30T23:59:59.000Z

    THE PHENOMENA IDENTIFICATION AND RANKING TECHNIQUE (PIRT) IS A SYSTEMATIC WAY OF GATHERING INFORMATION FROM EXPERTS ON A SPECIFIC SUBJECT, AND RANKING THE IMPORTANCE OF THE INFORMATION, IN ORDER TO MEET SOME DECISION MAKING OBJECTIVE. IT HAS BEEN APPLIED TO MANY NUCLEAR TECHONLOGY ISSUES INCLUDING NUCLEAR ANALYSIS IN ORDER TO HELP GUIDE RESEARCH OR DEVELOP REGULATORY REQUIREMENTS.

  10. Determining factors behind the PageRank log-log plot Yana Volkovich

    E-Print Network [OSTI]

    Boucherie, Richard J.

    - tion through a stochastic equation inspired by the original definition of PageRank. Further, we use agreement with experimental data on three different sam- ples of the Web. Keywords PageRank, Power law, Recursive stochastic equations, Re- gular variation, Web graph MSC 2000 90B15, 68P10, 60J80 1. INTRODUCTION

  11. Multi-energy CT Based on a Prior Rank, Intensity and Sparsity Model (PRISM)

    E-Print Network [OSTI]

    Soatto, Stefano

    Multi-energy CT Based on a Prior Rank, Intensity and Sparsity Model (PRISM) Hao Gao1 , Hengyong Yu2 spectrum. Besides, the energy-dependent intensity information can be incorporated into the PRISM in terms on the generalized rank and sparsity of a multi-energy image, and intensity/spectral characteristics of base

  12. ROBUST VIDEO RESTORATION BY JOINT SPARSE AND LOW RANK MATRIX APPROXIMATION

    E-Print Network [OSTI]

    Shen, Zuowei

    ROBUST VIDEO RESTORATION BY JOINT SPARSE AND LOW RANK MATRIX APPROXIMATION HUI JI, SIBIN HUANG, ZUOWEI SHEN, AND YUHONG XU Abstract. This paper presents a new video restoration scheme based domain, we formulate the video restoration problem as a joint sparse and low-rank matrix approximation

  13. Tenure-Track Faculty (All Ranks) Assistant Professor/Associate Professor/Full Professor

    E-Print Network [OSTI]

    Tenure-Track Faculty (All Ranks) Assistant Professor/Associate Professor/Full Professor Mechanical for both teaching and research are being sought. Candidates for the rank of Assistant Professor should have- and nano-systems, advanced energy technologies, bio-inspired systems and robotics, and plasma science

  14. Level-rank duality of untwisted and twisted D-branes

    E-Print Network [OSTI]

    Stephen G. Naculich; Howard J. Schnitzer

    2006-02-07T23:59:59.000Z

    Level-rank duality of untwisted and twisted D-branes of WZW models is explored. We derive the relation between D0-brane charges of level-rank dual untwisted D-branes of su(N)_K and sp(n)_k, and of level-rank dual twisted D-branes of su(2n+1)_2k+1. The analysis of level-rank duality of twisted D-branes of su(2n+1)_2k+1 is facilitated by their close relation to untwisted D-branes of sp(n)_k. We also demonstrate level-rank duality of the spectrum of an open string stretched between untwisted or twisted D-branes in each of these cases.

  15. Higher Rank Conformal Fields in the $Sp(2M)$ Symmetric Generalized Space-Time

    E-Print Network [OSTI]

    O. A. Gelfond; M. A. Vasiliev

    2005-05-19T23:59:59.000Z

    We study various $Sp(2M)$ invariant field equations corresponding to rank $r$ tensor products of the Fock (singleton) representation of $Sp(2M)$. These equations are shown to describe localization on ``branes'' of different dimensions embedded into the generalized space-time $\\M_M$ with matrix (i.e., ``central charge'') coordinates. The case of bilinear tensor product is considered in detail. The conserved currents built from bilinears of rank 1 fields in $\\M_M$ are shown to satisfy the field equations of the rank 2 fields in $\\M_M$. Also, the rank 2 fields in $\\M_M$ are shown to be equivalent to the rank 1 fields in $\\M_{2M}$.

  16. Query Routing: Finding Ways in the Maze of the Deep Web Govind Kabra Chengkai Li Kevin Chen-Chuan Chang

    E-Print Network [OSTI]

    Li, Chengkai

    Query Routing: Finding Ways in the Maze of the Deep Web Govind Kabra Chengkai Li Kevin Chen-occurrence framework for ranking and select- ing Deep Web sources that provide information relevant to users requirement. Given the huge number of heterogeneous Deep Web data sources, the end users may not know

  17. CO2 SEQUESTRATION POTENTIAL OF TEXAS LOW-RANK COALS

    SciTech Connect (OSTI)

    Duane A. McVay; Walter B. Ayers Jr; Jerry L. Jensen

    2004-11-01T23:59:59.000Z

    The objectives of this project are to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (CBM) recovery as an added benefit of sequestration. there were two main objectives for this reporting period. first, they wanted to collect wilcox coal samples from depths similar to those of probable sequestration sites, with the objective of determining accurate parameters for reservoir model description and for reservoir simulation. The second objective was to pursue opportunities for determining permeability of deep Wilcox coal to use as additional, necessary data for modeling reservoir performance during CO{sub 2} sequestration and enhanced coalbed methane recovery. In mid-summer, Anadarko Petroleum Corporation agreed to allow the authors to collect Wilcox Group coal samples from a well that was to be drilled to the Austin Chalk, which is several thousand feet below the Wilcox. In addition, they agreed to allow them to perform permeability tests in coal beds in an existing shut-in well. Both wells are in the region of the Sam K. Seymour power station, a site that they earlier identified as a major point source of CO{sub 2}. They negotiated contracts for sidewall core collection and core analyses, and they began discussions with a service company to perform permeability testing. To collect sidewall core samples of the Wilcox coals, they made structure and isopach maps and cross sections to select coal beds and to determine their depths for coring. On September 29, 10 sidewall core samples were obtained from 3 coal beds of the Lower Calvert Bluff Formation of the Wilcox Group. The samples were desorbed in 4 sidewall core canisters. Desorbed gas samples were sent to a laboratory for gas compositional analyses, and the coal samples were sent to another laboratory to measure CO{sub 2}, CH{sub 4}, and N{sub 2} sorption isotherms. All analyses should be finished by the end of December. A preliminary report shows methane content values for the desorbed coal samples ranged between 330 and 388 scf/t., on ''as received'' basis. Residual gas content of the coals was not included in the analyses, which results in an approximate 5-10% underestimation of in-situ gas content. Coal maps indicate that total coal thickness is 40-70 ft in the Lower Calvert Bluff Formation of the Wilcox Group in the vicinity of the Sam K. Seymour power plant. A conservative estimate indicates that methane in place for a well on 160-acre spacing is approximately 3.5 Bcf in Lower Calvert Bluff coal beds. When they receive sorption isotherm data from the laboratory, they will determine the amount of CO{sub 2} that it may be possible to sequester in Wilcox coals. In December, when the final laboratory and field test data are available, they will complete the reservoir model and begin to simulate CO{sub 2} sequestration and enhanced CH{sub 4} production.

  18. CO2 Sequestration Potential of Texas Low-Rank Coals

    SciTech Connect (OSTI)

    Duane A. McVay; Walter B. Ayers Jr; Jerry L. Jensen

    2005-10-01T23:59:59.000Z

    The objectives of this project are to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (ECBM) recovery as an added benefit of sequestration. The main objectives for this reporting period were to perform reservoir simulation and economic sensitivity studies to (1) determine the effects of injection gas composition, (2) determine the effects of injection rate, and (3) determine the effects of coal dewatering prior to CO{sub 2} injection on CO{sub 2} sequestration in the Lower Calvert Bluff Formation (LCB) of the Wilcox Group coals in east-central Texas. To predict CO{sub 2} sequestration and ECBM in LCB coal beds for these three sensitivity studies, we constructed a 5-spot pattern reservoir simulation model and selected reservoir parameters representative of a typical depth, approximately 6,200-ft, of potential LCB coalbed reservoirs in the focus area of East-Central Texas. Simulation results of flue gas injection (13% CO{sub 2} - 87% N{sub 2}) in an 80-acre 5-spot pattern (40-ac well spacing) indicate that LCB coals with average net thickness of 20 ft can store a median value of 0.46 Bcf of CO{sub 2} at depths of 6,200 ft, with a median ECBM recovery of 0.94 Bcf and median CO{sub 2} breakthrough time of 4,270 days (11.7 years). Simulation of 100% CO{sub 2} injection in an 80-acre 5-spot pattern indicated that these same coals with average net thickness of 20 ft can store a median value of 1.75 Bcf of CO{sub 2} at depths of 6,200 ft with a median ECBM recovery of 0.67 Bcf and median CO{sub 2} breakthrough time of 1,650 days (4.5 years). Breakthrough was defined as the point when CO{sub 2} comprised 5% of the production stream for all cases. The injection rate sensitivity study for pure CO{sub 2} injection in an 80-acre 5-spot pattern at 6,200-ft depth shows that total volumes of CO{sub 2} sequestered and methane produced do not have significant sensitivity to injection rate. The main difference is in timing, with longer breakthrough times resulting as injection rate decreases. Breakthrough times for 80-acre patterns (40-acre well spacing) ranged from 670 days (1.8 years) to 7,240 days (19.8 years) for the reservoir parameters and well operating conditions investigated. The dewatering sensitivity study for pure CO{sub 2} injection in an 80-acre 5-spot pattern at 6,200-ft depth shows that total volumes of CO{sub 2} sequestered and methane produced do not have significant sensitivity to dewatering prior to CO{sub 2} injection. As time to start CO{sub 2} injection increases, the time to reach breakthrough also increases. Breakthrough times for 80-acre patterns (40-acre well spacing) ranged from 850 days (2.3 years) to 5,380 days (14.7 years) for the reservoir parameters and well injection/production schedules investigated. Preliminary economic modeling results using a gas price of $7-$8 per Mscf and CO{sub 2} credits of $1.33 per ton CO{sub 2} indicate that injection of flue gas (87% N{sub 2}-13% CO{sub 2}) and 50% N{sub 2}-50% CO{sub 2} are more economically viable than injecting 100% CO{sub 2}. Results also indicate that injection rate and duration and timing of dewatering prior to CO{sub 2} injection have no significant effect on the economic viability of the project(s).

  19. Single channel flow blockage accident phenomena identification and ranking table (PIRT) for the advanced Candu reactor

    SciTech Connect (OSTI)

    Popov, N.K.; Abdul-Razzak, A.; Snell, V.G.; Langman, V. [Atomic Energy of Canada Ltd., 2251 Speakman Drive, Mississauga, Ontario, L5K 1B2 (Canada); Sills, H. [Consultant, Deep River, Ontario (Canada)

    2004-07-01T23:59:59.000Z

    The Advanced Candu Reactor (ACRTM) is an evolutionary advancement of the current Candu 6{sup R} reactor, aimed at producing electrical power for a capital cost and at a unit-energy cost significantly less than that of the current reactor designs. The ACR retains the modular concept of horizontal fuel channels surrounded by a heavy water moderator, as with all Candu reactors. However, ACR uses slightly enriched uranium (SEU) fuel, compared to the natural uranium used in Candu 6. This achieves the twin goals of improved economics (e.g., via reductions in the heavy water requirements and the use of a light water coolant), as well as improved safety. This paper documents the results of Phenomena Identification and Ranking Table (PIRT) results for a very limited frequency, beyond design basis event of the ACR design. This PIRT is developed in a highly structured process of expert elicitation that is well supported by experimental data and analytical results. The single-channel flow blockage event in an ACR reactor assumes a severe flow blockage of one of the reactor fuel channels, which leads to a reduction of the flow in the affected channel, leading to fuel cladding and fuel temperature increase. The paper outlines the design characteristics of the ACR reactor that impact the PIRT process and computer code applicability. It also describes the flow blockage phenomena, lists all components and systems that have an important role during the event, discusses the PIRT process and results, and presents the finalized PIRT tables. (authors)

  20. An epidermal equivalent assay for identification and ranking potency of contact sensitizers

    SciTech Connect (OSTI)

    Gibbs, Susan, E-mail: S.Gibbs@VUMC.nl [Department of Dermatology, VU University Medical Centre, Dept of Oral Cell Biology, ACTA, Amsterdam (Netherlands); Corsini, Emanuela [Laboratory of Toxicology, DiSFeB, Universitŕ degli Studi di Milano (Italy); Spiekstra, Sander W. [Department of Dermatology, VU University Medical Centre, Dept of Oral Cell Biology, ACTA, Amsterdam (Netherlands); Galbiati, Valentina [Laboratory of Toxicology, DiSFeB, Universitŕ degli Studi di Milano (Italy); Fuchs, Horst W. [CellSystems GmbH, Troisdorf (Germany); DeGeorge, George; Troese, Matthew [MB Research Labs, Spinnerstown, PA (United States); Hayden, Patrick; Deng, Wei [MatTek Corporation, Ashland, MA (United States); Roggen, Erwin [3Rs Management and Consultancy (Denmark)

    2013-10-15T23:59:59.000Z

    The purpose of this study was to explore the possibility of combining the epidermal equivalent (EE) potency assay with the assay which assesses release of interleukin-18 (IL-18) to provide a single test for identification and classification of skin sensitizing chemicals, including chemicals of low water solubility or stability. A protocol was developed using different 3D-epidermal models including in house VUMC model, epiCS® (previously EST1000™), MatTek EpiDerm™ and SkinEthic™ RHE and also the impact of different vehicles (acetone:olive oil 4:1, 1% DMSO, ethanol, water) was investigated. Following topical exposure for 24 h to 17 contact allergens and 13 non-sensitizers a robust increase in IL-18 release was observed only after exposure to contact allergens. A putative prediction model is proposed from data obtained from two laboratories yielding 95% accuracy. Correlating the in vitro EE sensitizer potency data, which assesses the chemical concentration which results in 50% cytotoxicity (EE-EC{sub 50}) with human and animal data showed a superior correlation with human DSA{sub 05} (?g/cm{sup 2}) data (Spearman r = 0.8500; P value (two-tailed) = 0.0061) compared to LLNA data (Spearman r = 0.5968; P value (two-tailed) = 0.0542). DSA{sub 05} = induction dose per skin area that produces a positive response in 5% of the tested population Also a good correlation was observed for release of IL-18 (SI-2) into culture supernatants with human DSA{sub 05} data (Spearman r = 0.8333; P value (two-tailed) = 0.0154). This easily transferable human in vitro assay appears to be very promising, but additional testing of a larger chemical set with the different EE models is required to fully evaluate the utility of this assay and to establish a definitive prediction model. - Highlights: • A potential epidermal equivalent assay to label and classify sensitizers • Il-18 release distinguishes sensitizers from non sensitizers • IL-18 release can rank sensitizer potency • EC50 (chemical concentration causing 50% decrease in cell viability) ranks potency • In vitro: human DSA{sub 05} correlation is better than in vitro: LLNA correlation.

  1. Regional Transmission Projects: Finding Solutions

    SciTech Connect (OSTI)

    The Keystone Center

    2005-06-15T23:59:59.000Z

    The Keystone Center convened and facilitated a year-long Dialogue on "Regional Transmission Projects: Finding Solutions" to develop recommendations that will help address the difficult and contentious issues related to expansions of regional electric transmission systems that are needed for reliable and economic transmission of power within and across regions. This effort brought together a cross-section of affected stakeholders and thought leaders to address the problem with the collective wisdom of their experience and interests. Transmission owners sat at the table with consumer advocates and environmental organizations. Representatives from regional transmission organizations exchanged ideas with state and federal regulators. Generation developers explored common interests with public power suppliers. Together, the Dialogue participants developed consensus solutions about how to begin unraveling some of the more intractable issues surrounding identification of need, allocation of costs, and reaching consensus on siting issues that can frustrate the development of regional transmission infrastructure. The recommendations fall into three broad categories: 1. Recommendations on appropriate institutional arrangements and processes for achieving regional consensus on the need for new or expanded transmission infrastructure 2. Recommendations on the process for siting of transmission lines 3. Recommendations on the tools needed to support regional planning, cost allocation, and siting efforts. List of Dialogue participants: List of Dialogue Participants: American Electric Power American Transmission Company American Wind Energy Association California ISO Calpine Corporation Cinergy Edison Electric Institute Environmental Defense Federal Energy Regulatory Commission Great River Energy International Transmission Company ISO-New England Iowa Public Utility Board Kanner & Associates Midwest ISO National Association of Regulatory Utility Commissioners National Association of State Utility Consumer Advocates National Grid Northeast Utilities PA Office of Consumer Advocates Pacific Gas & Electric Corporation Pennsylvania Public Utility Commission PJM Interconnection The Electricity Consumers Resource Council U.S. Department of Energy US Department of the Interior Van Ness Feldman Western Interstate Energy Board Wind on the Wires Wisconsin Public Service Commission Xcel Energy

  2. NREL Publishes Gearbox Reliability Collaborative Findings Report...

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

    NREL Publishes Gearbox Reliability Collaborative Findings Report NREL Publishes Gearbox Reliability Collaborative Findings Report October 3, 2011 - 12:56pm Addthis This is an...

  3. Sandia National Laboratories: Sandia Releases First Findings...

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

    Releases First Findings from Its Continuous Reliability Enhancement for Wind (CREW) Database Sandia Releases First Findings from Its Continuous Reliability Enhancement for Wind...

  4. On Some Computations of Higher Rank Refined Donaldson-Thomas Invariants

    E-Print Network [OSTI]

    Wu-yen Chuang; Chien-Hsun Wang

    2014-09-08T23:59:59.000Z

    We present some computations of higher rank refined Donaldson-Thomas invariants on local curve geometries, corresponding to local D6-D2-D0 or D4-D2-D0 configurations. A refined wall-crossing formula for invariants with higher D6 or D4 ranks is derived and verified to agree with the existing formulas under the unrefined limit. Using the formula, refined invariants on the $(-1,-1)$ and $(-2,0)$ local rational curve with higher D6 or D4 ranks are computed.

  5. The cohomology of virtually torsion-free solvable groups of finite rank.

    E-Print Network [OSTI]

    Peter Kropholler; Karl Lorensen

    Assume that $G$ is a virtually torsion-free solvable group of finite rank and $A$ a $\\mathbb ZG$-module whose underlying abelian group is torsion-free and has finite rank. We stipulate a condition on $A$ that ensures that $H^n(G,A)$ and $H_n(G,A)$ are finite for all $n\\geq 0$. Using this property for cohomology in dimension two, we deduce two results concerning the presence of near supplements and complements in solvable groups of finite rank. As an application of our near-supplement theorem, we obtain a new result regarding the homological dimension of solvable groups.

  6. EA-1774-S1: Final Environmental Assessment and Finding of No Significant

    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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3: Finding of NoFindingImpact |

  7. Empirical likelihood analysis of the rank estimator for the censored accelerated failure time model

    E-Print Network [OSTI]

    Zhou, Mai

    with censored data, including Tsiatis (1990), Wei et al. (1990), Ritov (1991), Lai & Ying (1991) and Ying (1993 of the rank-based estimator is given by Lai & Ying (1991), Ying (1993) and several subsequent papers including

  8. Rank-1 accelerated illumination recovery in scanning diffractive imaging by transparency estimation.

    SciTech Connect (OSTI)

    Wu, Hau-Tieng

    2014-08-07T23:59:59.000Z

    Illumination retrieval in scanning diffractive imaging a.k.a. ptychography is challenging when the specimen is weakly scattering or surrounded by empty space. We describe a rank-1 acceleration method for weakly scattering or piecewise smooth specimens.

  9. Low-rank coal research. Quarterly technical progress report, April-June 1984

    SciTech Connect (OSTI)

    Not Available

    1984-08-01T23:59:59.000Z

    Papers in the quarterly technical progress report for the period April-June, 1984, of the Low-Rank Coal Research project have been entered individually into EDB and ERA (17 items). (LTN)

  10. Max-min optimizations on the rank and inertia of a linear Hermitian ...

    E-Print Network [OSTI]

    2010-10-29T23:59:59.000Z

    Eq. (1.8) is the well-known Sylvester's law of inertia. ...... M. Fazel, P.A. Parrilo, Guaranteed minimum rank Solutions to linear matrix equations via nuclear norm.

  11. The Tensor Rank of the Tripartite State $\\ket{W}^{\\otimes n}$}

    E-Print Network [OSTI]

    Nengkun Yu; Eric Chitambar; Cheng Guo; Runyao Duan

    2009-10-24T23:59:59.000Z

    Tensor rank refers to the number of product states needed to express a given multipartite quantum state. Its non-additivity as an entanglement measure has recently been observed. In this note, we estimate the tensor rank of multiple copies of the tripartite state $\\ket{W}=\\tfrac{1}{\\sqrt{3}}(\\ket{100}+\\ket{010}+\\ket{001})$. Both an upper bound and a lower bound of this rank are derived. In particular, it is proven that the tensor rank of $\\ket{W}^{\\otimes 2}$ is seven, thus resolving a previously open problem. Some implications of this result are discussed in terms of transformation rates between $\\ket{W}^{\\otimes n}$ and multiple copies of the state $\\ket{GHZ}=\\tfrac{1}{\\sqrt{2}}(\\ket{000}+\\ket{111})$.

  12. An Efficient Gauss-Newton Algorithm for Symmetric Low-Rank ...

    E-Print Network [OSTI]

    XIN LIU

    2014-06-02T23:59:59.000Z

    Jun 2, 2014 ... Abstract: We derive and study a Gauss-Newton method for computing a symmetric low-rank product that is the closest to a given symmetric ...

  13. An FPTAS for optimizing a class of low-rank functions over a polytope

    E-Print Network [OSTI]

    Mittal, Shashi

    We present a fully polynomial time approximation scheme (FPTAS) for optimizing a very general class of non-linear functions of low rank over a polytope. Our approximation scheme relies on constructing an approximate ...

  14. Multi-Pareto-Ranking Evolutionary Algorithm Wahabou Abdou, Christelle Bloch, Damien Charlet, and Francois Spies

    E-Print Network [OSTI]

    Boyer, Edmond

    Multi-Pareto-Ranking Evolutionary Algorithm Wahabou Abdou, Christelle Bloch, Damien Charlet to define the selection probability of each Pareto front hal-00940119,version1- #12;2 W. Abdou, C. Bloch, D

  15. Confluent KZ equations for sl_N with Poincare rank 2 at infinity

    E-Print Network [OSTI]

    Hajime Nagoya; Juanjuan Sun

    2010-10-10T23:59:59.000Z

    We construct confluent KZ equations with Poincare rank 2 at infinity for the case of sl_N and the integral representation for the solutions. Hamiltonians of these confluent KZ equations are derived from suitable quantization of dlog tau constructed in the theory of monodromy preserving deformation by Jimbo, Miwa and Ueno. Our confluent KZ equations may be viewed as a quantization of monodromy preserving deformation with Poincare rank 2 at infinity.

  16. Low-rank coal study. Volume 4. Regulatory, environmental, and market analyses

    SciTech Connect (OSTI)

    Not Available

    1980-11-01T23:59:59.000Z

    The regulatory, environmental, and market constraints to development of US low-rank coal resources are analyzed. Government-imposed environmental and regulatory requirements are among the most important factors that determine the markets for low-rank coal and the technology used in the extraction, delivery, and utilization systems. Both state and federal controls are examined, in light of available data on impacts and effluents associated with major low-rank coal development efforts. The market analysis examines both the penetration of existing markets by low-rank coal and the evolution of potential markets in the future. The electric utility industry consumes about 99 percent of the total low-rank coal production. This use in utility boilers rose dramatically in the 1970's and is expected to continue to grow rapidly. In the late 1980's and 1990's, industrial direct use of low-rank coal and the production of synthetic fuels are expected to start growing as major new markets.

  17. Low-rank coal research, Task 5.1. Topical report, April 1986--December 1992

    SciTech Connect (OSTI)

    Not Available

    1993-02-01T23:59:59.000Z

    This document is a topical progress report for Low-Rank Coal Research performed April 1986 - December 1992. Control Technology and Coal Preparation Research is described for Flue Gas Cleanup, Waste Management, Regional Energy Policy Program for the Northern Great Plains, and Hot-Gas Cleanup. Advanced Research and Technology Development was conducted on Turbine Combustion Phenomena, Combustion Inorganic Transformation (two sections), Liquefaction Reactivity of Low-Rank Coals, Gasification Ash and Slag Characterization, and Coal Science. Combustion Research is described for Atmospheric Fluidized-Bed Combustion, Beneficiation of Low-Rank Coals, Combustion Characterization of Low-Rank Fuels (completed 10/31/90), Diesel Utilization of Low-Rank Coals (completed 12/31/90), Produce and Characterize HWD (hot-water drying) Fuels for Heat Engine Applications (completed 10/31/90), Nitrous Oxide Emission, and Pressurized Fluidized-Bed Combustion. Liquefaction Research in Low-Rank Coal Direct Liquefaction is discussed. Gasification Research was conducted in Production of Hydrogen and By-Products from Coals and in Sulfur Forms in Coal.

  18. Comparative Physiology A

    E-Print Network [OSTI]

    confirm earlier findings that Abbreviations: HS horizontal system; VS vertical system giant vertical cells contribute to the visual control of yaw movements (for review see Hausen 1981). Much less is known about VS

  19. Unsupervised Rank Aggregation with Domain-Specific Expertise Alexandre Klementiev, Dan Roth, Kevin Small, and Ivan Titov

    E-Print Network [OSTI]

    Titov, Ivan

    Unsupervised Rank Aggregation with Domain-Specific Expertise Alexandre Klementiev, Dan Roth, Kevin of judges is re- peatedly asked to (partially) rank sets of objects according to given criteria, and assume that the judges' expertise depends on the objects' domain. Learning to aggregate their rankings with the goal

  20. Extracting Experimental Information from Large Matrixes. 1. A New Algorithm for the Application of Matrix Rank Analysis

    E-Print Network [OSTI]

    Epstein, Irving R.

    of Matrix Rank Analysis Ga´bor Peintler,*, Istva´n Nagypa´l, Attila Jancso´, Irving R. Epstein algorithm for the application of matrix rank analysis to extract significant experimental information from. Introduction Matrix rank analysis (MRA) of spectroscopic data is a widely used method to determine the number

  1. CONSTRUCTION OF LOW RANK VECTOR BUNDLES ON P4 N. MOHAN KUMAR, CHRIS PETERSON, AND A. PRABHAKAR RAO

    E-Print Network [OSTI]

    Kumar, N. Mohan

    CONSTRUCTION OF LOW RANK VECTOR BUNDLES ON P4 AND P5 N. MOHAN KUMAR, CHRIS PETERSON, AND A. PRABHAKAR RAO Abstract. We describe a technique which permits a uniform construction of a number of low rank bundles, both known and new. In characteristic two, we obtain rank two bundles on P5. In characteristic p

  2. STAFF TRAVEL SURVEY 2006 KEY FINDINGS Survey introduction

    E-Print Network [OSTI]

    Brierley, Andrew

    routes. · Car users are most likely to be encouraged to car share if help is given in finding suitable car sharing partners. How do you usually travel to work? Almost half of all staff (46%) drive to work alone. Another 23% car share, giving a total of 70% staff using a car to travel to work. Comparing

  3. Next Generation Nuclear Plant Phenomena Identification and Ranking Tables (PIRTs) Volume 5: Graphite PIRTs

    SciTech Connect (OSTI)

    Burchell, Timothy D [ORNL; Bratton, Rob [Idaho National Laboratory (INL); Marsden, Barry [University of Manchester, UK; Srinivasan, Makuteswara [U.S. Nuclear Regulatory Commission; Penfield, Scott [Technology Insights; Mitchell, Mark [PBMR (Pty) Ltd.; Windes, Will [Idaho National Laboratory (INL)

    2008-03-01T23:59:59.000Z

    Here we report the outcome of the application of the Nuclear Regulatory Commission (NRC) Phenomena Identification and Ranking Table (PIRT) process to the issue of nuclear-grade graphite for the moderator and structural components of a next generation nuclear plant (NGNP), considering both routine (normal operation) and postulated accident conditions for the NGNP. The NGNP is assumed to be a modular high-temperature gas-cooled reactor (HTGR), either a gas-turbine modular helium reactor (GTMHR) version [a prismatic-core modular reactor (PMR)] or a pebble-bed modular reactor (PBMR) version [a pebble bed reactor (PBR)] design, with either a direct- or indirect-cycle gas turbine (Brayton cycle) system for electric power production, and an indirect-cycle component for hydrogen production. NGNP design options with a high-pressure steam generator (Rankine cycle) in the primary loop are not considered in this PIRT. This graphite PIRT was conducted in parallel with four other NRC PIRT activities, taking advantage of the relationships and overlaps in subject matter. The graphite PIRT panel identified numerous phenomena, five of which were ranked high importance-low knowledge. A further nine were ranked with high importance and medium knowledge rank. Two phenomena were ranked with medium importance and low knowledge, and a further 14 were ranked medium importance and medium knowledge rank. The last 12 phenomena were ranked with low importance and high knowledge rank (or similar combinations suggesting they have low priority). The ranking/scoring rationale for the reported graphite phenomena is discussed. Much has been learned about the behavior of graphite in reactor environments in the 60-plus years since the first graphite rectors went into service. The extensive list of references in the Bibliography is plainly testament to this fact. Our current knowledge base is well developed. Although data are lacking for the specific grades being considered for Generation IV (Gen IV) concepts, such as the NGNP, it is fully expected that the behavior of these graphites will conform to the recognized trends for near isotropic nuclear graphite. Thus, much of the data needed is confirmatory in nature. Theories that can explain graphite behavior have been postulated and, in many cases, shown to represent experimental data well. However, these theories need to be tested against data for the new graphites and extended to higher neutron doses and temperatures pertinent to the new Gen IV reactor concepts. It is anticipated that current and planned future graphite irradiation experiments will provide the data needed to validate many of the currently accepted models, as well as providing the needed data for design confirmation.

  4. Upgrading low-rank coals using the liquids from coal (LFC) process

    SciTech Connect (OSTI)

    Nickell, R.E.; Hoften, S.A. van

    1993-12-31T23:59:59.000Z

    Three unmistakable trends characterize national and international coal markets today that help to explain coal`s continuing and, in some cases, increasing share of the world`s energy mix: the downward trend in coal prices is primarily influenced by an excess of increasing supply relative to increasing demand. Associated with this trend are the availability of capital to expand coal supplies when prices become firm and the role of coal exports in international trade, especially for developing nations; the global trend toward reducing the transportation cost component relative to the market, preserves or enhances the producer`s profit margins in the face of lower prices. The strong influence of transportation costs is due to the geographic relationships between coal producers and coal users. The trend toward upgrading low grade coals, including subbituminous and lignite coals, that have favorable environmental characteristics, such as low sulfur, compensates in some measure for decreasing coal prices and helps to reduce transportation costs. The upgrading of low grade coal includes a variety of precombustion clean coal technologies, such as deep coal cleaning. Also included in this grouping are the coal drying and mild pyrolysis (or mild gasification) technologies that remove most of the moisture and a substantial portion of the volatile matter, including organic sulfur, while producing two or more saleable coproducts with considerable added value. SGI International`s Liquids From Coal (LFC) process falls into this category. In the following sections, the LFC process is described and the coproducts of the mild pyrolysis are characterized. Since the process can be applied widely to low rank coals all around the world, the characteristics of coproducts from three different regions around the Pacific Rim-the Powder River Basin of Wyoming, the Beluga Field in Alaska near the Cook Inlet, and the Bukit Asam region in south Sumatra, Indonesia - are compared.

  5. Risk-Based Ranking Experiences for Cold War Legacy Facilities in the United States

    SciTech Connect (OSTI)

    Droppo, James G.

    2003-05-01T23:59:59.000Z

    Over the past two decades, a number of government agencies in the United States have faced increasing public scrutiny for their efforts to address the wide range of potential environmental issues related to Cold War legacies. Risk-based ranking was selected as a means of defining the relative importance of issues. Ambitious facility-wide risk-based ranking applications were undertaken. However, although facility-wide risk-based ranking efforts can build invaluable understanding of the potential issues related to Cold War legacies, conducting such efforts is difficult because of the potentially enormous scope and the potentially strong institutional barriers. The U.S. experience is that such efforts are worth undertaking to start building a knowledge base and infrastructure that are based on a thorough understanding of risk. In both the East and the West, the legacy of the Cold War includes a wide range of potential environmental issues associated with large industrial complexes of weapon production facilities. The responsible agencies or ministries are required to make decisions that could benefit greatly from information on the relative importance of these potential issues. Facility-wide risk-based ranking of potential health and environmental issues is one means to help these decision makers. The initial U.S. risk-based ranking applications described in this chapter were “ground-breaking” in that they defined new methodologies and approaches to meet the challenges. Many of these approaches fit the designation of a population-centred risk assessment. These U.S. activities parallel efforts that are just beginning for similar facilities in the countries of the former Soviet Union. As described below, conducting a facility-wide risk-based ranking has special challenges and potential pitfalls. Little guidance exists to conduct major risk-based rankings. For those considering undertaking such efforts, the material contained in this chapter should be useful background information.

  6. Low-rank coal study : national needs for resource development. Volume 2. Resource characterization

    SciTech Connect (OSTI)

    Not Available

    1980-11-01T23:59:59.000Z

    Comprehensive data are presented on the quantity, quality, and distribution of low-rank coal (subbituminous and lignite) deposits in the United States. The major lignite-bearing areas are the Fort Union Region and the Gulf Lignite Region, with the predominant strippable reserves being in the states of North Dakota, Montana, and Texas. The largest subbituminous coal deposits are in the Powder River Region of Montana and Wyoming, The San Juan Basin of New Mexico, and in Northern Alaska. For each of the low-rank coal-bearing regions, descriptions are provided of the geology; strippable reserves; active and planned mines; classification of identified resources by depth, seam thickness, sulfur content, and ash content; overburden characteristics; aquifers; and coal properties and characteristics. Low-rank coals are distinguished from bituminous coals by unique chemical and physical properties that affect their behavior in extraction, utilization, or conversion processes. The most characteristic properties of the organic fraction of low-rank coals are the high inherent moisture and oxygen contents, and the correspondingly low heating value. Mineral matter (ash) contents and compositions of all coals are highly variable; however, low-rank coals tend to have a higher proportion of the alkali components CaO, MgO, and Na/sub 2/O. About 90% of the reserve base of US low-rank coal has less than one percent sulfur. Water resources in the major low-rank coal-bearing regions tend to have highly seasonal availabilities. Some areas appear to have ample water resources to support major new coal projects; in other areas such as Texas, water supplies may be constraining factor on development.

  7. TE Connectivity Finds Answers in Tomography

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

    TE Connectivity Finds Answers in Tomography TE Connectivity Finds Answers in Tomography Print Thursday, 22 August 2013 10:50 TE Connectivity is a world leader in connectivity-the...

  8. doi:10.1093/nar/gkq813 The Comparative Toxicogenomics Database: update 2011

    E-Print Network [OSTI]

    Allan Peter Davis; Benjamin L. King; Susan Mockus; Cynthia G. Murphy; Cynthia Saraceni-richards; Michael Rosenstein; Thomas Wiegers; Carolyn J. Mattingly

    2010-01-01T23:59:59.000Z

    The Comparative Toxicogenomics Database (CTD) is a public resource that promotes understanding about the interaction of environmental chemicals with gene products, and their effects on human health. Biocurators at CTD manually curate a triad of chemical–gene, chemical–disease and gene–disease relationships from the literature. These core data are then integrated to construct chemical–gene–disease networks and to predict many novel relationships using different types of associated data. Since 2009, we dramatically increased the content of CTD to 1.4 million chemical–gene–disease data points and added many features, statistical analyses and analytical tools, including GeneComps and ChemComps (to find comparable genes and chemicals that share toxicogenomic profiles), enriched Gene Ontology terms associated with chemicals, statistically ranked chemical–disease inferences, Venn diagram tools to discover overlapping and unique attributes of any set of chemicals, genes or disease, and enhanced gene pathway data content, among other features. Together, this wealth of expanded chemical–gene–disease data continues to help users generate testable hypotheses about the molecular mechanisms of environmental diseases. CTD is freely available at

  9. Finding Structure via Compression Jason L. Hutchens

    E-Print Network [OSTI]

    Structurevia Compression Jason L. Hutchens and Michael D. Alder (1998) Finding Structure via Compression. In D.M.W

  10. Fossil Energy Word Find | 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:YearRound-UpHeat PumpRecordFederal7.pdfFlash_2010_-24.pdfOverviewPlans

  11. Floodplain Assessment and Statement of Findings

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in3.pdf Flash2006-53.pdf0.pdf Flash2008-50.pdf5.pdfTechnologies Program (VTP) (FactFloatingand

  12. NREL Publishes Gearbox Reliability Collaborative Findings Report |

    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 RankCombustion | Department ofT ib l L d F S i DOEToward aInnovationHydrogen DeliveryEnergy NREL

  13. Comparing greenhouse gasses

    E-Print Network [OSTI]

    Reilly, John M.; Babiker, Mustafa H.M.; Mayer, Monika.

    Controlling multiple substances that jointly contribute to climate warming requires some method to compare the effects of the different gases because the physical properties (radiative effects, and persistence in the ...

  14. Mechanical code comparator

    DOE Patents [OSTI]

    Peter, Frank J. (Albuquerque, NM); Dalton, Larry J. (Bernalillo, NM); Plummer, David W. (Albuquerque, NM)

    2002-01-01T23:59:59.000Z

    A new class of mechanical code comparators is described which have broad potential for application in safety, surety, and security applications. These devices can be implemented as micro-scale electromechanical systems that isolate a secure or otherwise controlled device until an access code is entered. This access code is converted into a series of mechanical inputs to the mechanical code comparator, which compares the access code to a pre-input combination, entered previously into the mechanical code comparator by an operator at the system security control point. These devices provide extremely high levels of robust security. Being totally mechanical in operation, an access control system properly based on such devices cannot be circumvented by software attack alone.

  15. Eigenvalue statistics for random Schrodinger operators with non rank one perturbations

    E-Print Network [OSTI]

    Peter D. Hislop; M. Krishna

    2014-09-08T23:59:59.000Z

    We prove that certain natural random variables associated with the local eigenvalue statistics for generalized lattice Anderson models constructed with finite-rank perturbations are compound Poisson distributed. This distribution is characterized by the fact that the Levy measure is supported on at most a finite set determined by the rank. The proof relies on a Minami-type estimate for finite-rank perturbations. For Anderson-type continuum models on $\\R^d$, we prove a similar result for certain natural random variables associated with the local eigenvalue statistics. We prove that the compound Poisson distribution associated with these random variables has a Levy measure whose support is at most the set of positive integers.

  16. Level-Rank Duality in Chern-Simons Theory from a Non-Supersymmetric Brane Configuration

    E-Print Network [OSTI]

    Adi Armoni; Edwin Ireson

    2014-08-20T23:59:59.000Z

    We derive level-rank duality in pure Chern-Simons gauge theories from a non-supersymmetric Seiberg duality by using a non-supersymmetric brane configuration in type IIB string theory. The brane configuration consists of fivebranes, N D3 antibranes and an O3 plane. By swapping the fivebranes we derive a 3d non-supersymmetric Seiberg duality. After level shifts from loop effects, this identifies the IR of Sp(2N)_{2k-2N+2} and Sp(2k-2N+2)_{-2N} pure Chern-Simons theories, which is a level-rank pair. We also derive level-rank duality in a Chern-Simons theory based on a unitary group.

  17. Low-rank coal study. Volume 5. RD and D program evaluation

    SciTech Connect (OSTI)

    Not Available

    1980-11-01T23:59:59.000Z

    A national program is recommended for research, development, and demonstration (RD and D) of improved technologies for the enviromentally acceptable use of low-rank coals. RD and D project recommendations are outlined in all applicable technology areas, including extraction, transportation, preparation, handling and storage, conventional combustion and environmental control technology, fluidized bed combustion, gasification, liquefaction, and pyrolysis. Basic research topics are identified separately, as well as a series of crosscutting research activities addressing environmental, economic, and regulatory issues. The recommended RD and D activities are classified into Priority I and Priority II categories, reflecting their relative urgency and potential impact on the advancement of low-rank coal development. Summaries of ongoing research projects on low-rank coals in the US are presented in an Appendix, and the relationships of these ongoing efforts to the recommended RD and D program are discussed.

  18. Low-rank coal study: national needs for resource development. Volume 3. Technology evaluation

    SciTech Connect (OSTI)

    Not Available

    1980-11-01T23:59:59.000Z

    Technologies applicable to the development and use of low-rank coals are analyzed in order to identify specific needs for research, development, and demonstration (RD and D). Major sections of the report address the following technologies: extraction; transportation; preparation, handling and storage; conventional combustion and environmental control technology; gasification; liquefaction; and pyrolysis. Each of these sections contains an introduction and summary of the key issues with regard to subbituminous coal and lignite; description of all relevant technology, both existing and under development; a description of related environmental control technology; an evaluation of the effects of low-rank coal properties on the technology; and summaries of current commercial status of the technology and/or current RD and D projects relevant to low-rank coals.

  19. An algorithm for improving Non-Local Means operators via low-rank approximation

    E-Print Network [OSTI]

    Victor May; Yosi Keller; Nir Sharon; Yoel Shkolnisky

    2014-11-20T23:59:59.000Z

    We present a method for improving a Non Local Means operator by computing its low-rank approximation. The low-rank operator is constructed by applying a filter to the spectrum of the original Non Local Means operator. This results in an operator which is less sensitive to noise while preserving important properties of the original operator. The method is efficiently implemented based on Chebyshev polynomials and is demonstrated on the application of natural images denoising. For this application, we provide a comprehensive comparison of our method with leading denoising methods.

  20. Process to improve boiler operation by supplemental firing with thermally beneficiated low rank coal

    DOE Patents [OSTI]

    Sheldon, Ray W. (Huntley, MT)

    2001-01-01T23:59:59.000Z

    The invention described is a process for improving the performance of a commercial coal or lignite fired boiler system by supplementing its normal coal supply with a controlled quantity of thermally beneficiated low rank coal, (TBLRC). This supplemental TBLRC can be delivered either to the solid fuel mill (pulverizer) or directly to the coal burner feed pipe. Specific benefits are supplied based on knowledge of equipment types that may be employed on a commercial scale to complete the process. The thermally beneficiated low rank coal can be delivered along with regular coal or intermittently with regular coal as the needs require.

  1. Transportation costs for new fuel forms produced from low rank US coals

    SciTech Connect (OSTI)

    Newcombe, R.J.; McKelvey, D.G. (TMS, Inc., Germantown, MD (USA)); Ruether, J.A. (USDOE Pittsburgh Energy Technology Center, PA (USA))

    1990-09-01T23:59:59.000Z

    Transportation costs are examined for four types of new fuel forms (solid, syncrude, methanol, and slurry) produced from low rank coals found in the lower 48 states of the USA. Nine low rank coal deposits are considered as possible feedstocks for mine mouth processing plants. Transportation modes analyzed include ship/barge, pipelines, rail, and truck. The largest potential market for the new fuel forms is coal-fired utility boilers without emission controls. Lowest cost routes from each of the nine source regions to supply this market are determined. 12 figs.

  2. Virtual Optical Comparator

    SciTech Connect (OSTI)

    Thompson, Greg

    2008-10-20T23:59:59.000Z

    The Virtual Optical Comparator, VOC, was conceived as a result of the limitations of conventional optical comparators and vision systems. Piece part designs for mechanisms have started to include precision features on the face of parts that must be viewed using a reflected image rather than a profile shadow. The VOC concept uses a computer generated overlay and a digital camera to measure features on a video screen. The advantage of this system is superior edge detection compared to traditional systems. No vinyl charts are procured or inspected. The part size and expensive fixtures are no longer a concern because of the range of the X-Y table of the Virtual Optical Comparator. Product redesigns require only changes to the CAD image overlays; new vinyl charts are not required. The inspection process is more ergonomic by allowing the operator to view the part sitting at a desk rather than standing over a 30 inch screen. The procurement cost for the VOC will be less than a traditional comparator with a much smaller footprint with less maintenance and energy requirements.

  3. Rank Petroleum

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,InformationU.S.Feet) Year Weekly77a.REVISIONreports7.

  4. A Novel Approach for Comparative Genomics

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A Novel Approach for Comparative Genomics & Annotation Transfer Alban MANCHERON Raluca URICARU Eric is genome comparison good for?" Genome comparison is crucial for genome annotation, regulatory motifs identification, and vaccine design aims at finding genomic regions either specific to or in one

  5. ORISE: Forensic scientist finds truth in fingerprints

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

    Forensic scientist finds truth in fingerprints For more than 30 years, Imogene Van Buren has searched for truth in the friction ridges of fingerprints. She has identified victims...

  6. EA-1611-S1: Finding of No Significant Impact | 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:Year in Review: TopEnergy DOEDealingVehicle1 Closing the2-A Dynegy-A Duke EnergyFinding of No

  7. EA-1616-S1: Finding of No Significant Impact | 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:Year in Review: TopEnergy DOEDealingVehicle1 Closing the2-A Dynegy-A Duke EnergyFinding

  8. EA-1642S: Finding of No Significant Impact | 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:Year in Review: TopEnergy DOEDealingVehicle1 Closing the2-A Dynegy-A Duke42S: Finding of No

  9. Finding Energy Efficiency and Savings on a Kentucky Farm | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeat PumpRecordFederal Registry CommentsOverview » FinancingEnergy Find

  10. Finding of No Significant Impact, Federal Register, 73 FR 2017, January 11,

    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:YearRound-UpHeat PumpRecordFederal Registry CommentsOverview »FINDING OF NO SIGNIFICANT IMPACT2008

  11. EA-1440-S2: Finding of No Signficant Impact | 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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADA andDriving5-FEB. 15,61:1: Finding15:40-S2:

  12. EA-1761: Finding of No Significant Impact and Floodplain Statement of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7: RevisedMonroe,Mitigation:9:Findings

  13. EA-1800: Notice of Availability of the Finding of No Significant Impact |

    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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8: Final EnvironmentalFinding

  14. EA-1861: DOE Notice of Availability of the Finding of No Significant Impact

    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:YearRound-UpHeat Pump Models |Conduct, Parent(CRADAMitigation7:3:8:4:2:Finding of No Significant0:|

  15. Affinity-Driven Prediction and Ranking of Products in Online Product Review Sites

    E-Print Network [OSTI]

    Aixin, Sun

    Affinity-Driven Prediction and Ranking of Products in Online Product Review Sites Hui Li herolee@pmail.ntu.edu.sg Sourav S Bhowmick assourav@ntu.edu.sg Aixin Sun axsun@ntu.edu.sg School of Computer Engineering Nanyang applications. In this paper, we identify and ana- lyze an array of features that exert effect on product affin

  16. THE ODD MOMENTS OF RANKS AND CRANKS GEORGE E. ANDREWS, SONG HENG CHAN, AND BYUNGCHAN KIM

    E-Print Network [OSTI]

    THE ODD MOMENTS OF RANKS AND CRANKS GEORGE E. ANDREWS, SONG HENG CHAN, AND BYUNGCHAN KIM Abstract by National Security Agency, NSA grant award 101015. Song Heng Chan was partially supported by Nanyang of Education, Science and Technology (NRF2011-0009199). 1 #12;2 GEORGE E. ANDREWS, SONG HENG CHAN

  17. Task 27 -- Alaskan low-rank coal-water fuel demonstration project

    SciTech Connect (OSTI)

    NONE

    1995-10-01T23:59:59.000Z

    Development of coal-water-fuel (CWF) technology has to-date been predicated on the use of high-rank bituminous coal only, and until now the high inherent moisture content of low-rank coal has precluded its use for CWF production. The unique feature of the Alaskan project is the integration of hot-water-drying (HWD) into CWF technology as a beneficiation process. Hot-water-drying is an EERC developed technology unavailable to the competition that allows the range of CWF feedstock to be extended to low-rank coals. The primary objective of the Alaskan Project, is to promote interest in the CWF marketplace by demonstrating the commercial viability of low-rank coal-water-fuel (LRCWF). While commercialization plans cannot be finalized until the implementation and results of the Alaskan LRCWF Project are known and evaluated, this report has been prepared to specifically address issues concerning business objectives for the project, and outline a market development plan for meeting those objectives.

  18. I U.S. News and World Report ranked NJIT among top

    E-Print Network [OSTI]

    Bieber, Michael

    , received a patent for a new method of separating a gas from a gaseous mixture that can be used in fuel cellI U.S. News and World Report ranked NJIT among top national universities. I Princeton Review named universities in an annual study by The Cen- ter at the University of Florida. I The university placed among

  19. CONTENT-ADAPTIVE SPEECH ENHANCEMENT BY A SPARSELY-ACTIVATED DICTIONARY PLUS LOW RANK DECOMPOSITION

    E-Print Network [OSTI]

    Ellis, Dan

    CONTENT-ADAPTIVE SPEECH ENHANCEMENT BY A SPARSELY-ACTIVATED DICTIONARY PLUS LOW RANK DECOMPOSITION.papadopoulos[at]lss.supelec.fr dpwe[at]ee.columbia.edu ABSTRACT One powerful approach to speech enhancement employs strong models, we proposed a speech enhancement model that decomposes the spectrogram into sparse activation

  20. Speech enhancement by low-rank and convolutive dictionary spectrogram decomposition

    E-Print Network [OSTI]

    Ellis, Dan

    Speech enhancement by low-rank and convolutive dictionary spectrogram decomposition Zhuo Chen1 Computer Science Institute, Berkeley, CA, USA zc2204@columbia.edu Abstract A successful speech enhancement, performance will suffer. In previous work, we proposed a speech enhance- ment framework based on decomposing

  1. QoS-aware Optimization Strategy for Security Ranking in SSL Protocol , Zhe Tang 1

    E-Print Network [OSTI]

    Wu, Jie

    QoS-aware Optimization Strategy for Security Ranking in SSL Protocol Fang Qi 1 , Zhe Tang 1 socket layer protocol (SSL) is to provide confidentiality and data integrity between two communicating entities. Since the most computationally expensive step in the SSL handshake protocol is the server's RSA

  2. The Problem Montana ranks third in the nation for brain injury

    E-Print Network [OSTI]

    Vonessen, Nikolaus

    The Problem Montana ranks third in the nation for brain injury fatalities, and is home to a large population of brain injury survivors suffering from the chronic effects of a these injuries. In addition, Montana has a high percentage of veterans, many returning home with TBIs. The most common causes for brain

  3. LOW RANK SOLUTION OF LYAPUNOV EQUATIONS JING-REBECCA LI AND JACOB WHITE

    E-Print Network [OSTI]

    Li, Jing-Rebecca

    @cims.nyu.edu). The research of this author was supported by the National Science Foundation and the Semiconductor Research of Technology, Room 36-817, Cam- bridge, MA 02139-4307 (white@mit.edu). 260 #12;LOW RANK SOLUTION OF LYAPUNOV

  4. Building Fuzzy Thematic Clusters and Mapping Them to Higher Ranks in a Taxonomy

    E-Print Network [OSTI]

    Mirkin, Boris

    , Moscow, RF 3 Computer Science Department and Centre for Artificial Intelligence (CENTRIA), Faculdade de as a query set. To lift a query set to higher ranks of the taxonomy, we develop an original recursive a framework for representation of the activities of an organization or any other system under consideration

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

    E-Print Network [OSTI]

    Twente, Universiteit

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

  6. Ship Detection in Satellite Imagery Using Rank-Order Grayscale Hit-or-Miss Transforms

    E-Print Network [OSTI]

    Theiler, James

    Ship Detection in Satellite Imagery Using Rank-Order Grayscale Hit-or-Miss Transforms Neal R. Harvey*, Reid Porter, James Theiler Space & Remote Sensing Sciences Group, Los Alamos National Laboratory, Los Alamos, NM 87545, USA ABSTRACT Ship detection from satellite imagery is something that has great

  7. StochasticAnalysisofWebPageRanking University of Twente, The Netherlands

    E-Print Network [OSTI]

    Al Hanbali, Ahmad

    StochasticAnalysisofWebPageRanking University of Twente, The Netherlands CTIT PhD thesis series of Twente, The Netherlands CTIT PhD thesis series number 09-139 Beta dissertation series D118 ISBN 978 / SOR P.O. Box 217, 7500 AE Enschede The Netherlands CTIT PhD Thesis Series 09-139 Centre for Telematics

  8. Ecological ranking of Phanerozoic biodiversity crises: ecological and taxonomic severities are decoupled

    E-Print Network [OSTI]

    Lyubomirsky, Ilya

    Ecological ranking of Phanerozoic biodiversity crises: ecological and taxonomic severities extensive analyses of the taxonomic severity of major biodiversity crises in geologic time. In contrast, we propose here an alternative analysis of the ecological severity of biodiversity crises. It is clear

  9. Coal rank trends in western Kentucky coal field and relationship to hydrocarbon occurrence

    SciTech Connect (OSTI)

    Hower, J.C.; Rimmer, S.M.; Williams, D.A.; Beard, J.G. (Univ. of Kentucky, Lexington (USA))

    1989-09-01T23:59:59.000Z

    Extensive oil and gas development has occurred in the high volatile C bituminous region north of the Rough Creek fault zone, but few pools are known within the Webster syncline south of the fault zone. The rank of the Middle Pennsylvanian coals can be used to estimate the level of maturation of the Devonian New Albany Shale, a likely source rock for much of the oil and gas in the coal field. Based on relatively few data points, previous studies on the maturation of the New Albany Shale, which lies about 1 km below the Springfield coal, indicate an equivalent medium volatile bituminous (1.0-1.2% R{sub max}) rank in the Fluorspar district. New Albany rank decreases to an equivalent high volatile B/C (0.6% R{sub max}) north of the Rough Creek fault zone. Whereas the shale in the latter region is situated within the oil generation window, the higher rank region is past the peak of the level of maturation of the New Albany Shale. The significance of the New Albany reflectancy is dependent on the suppression of vitrinite reflectance in organic-rich shales. The possibility of reflectance suppression would imply that the shales could be more mature than studies have indicated.

  10. Low-rank coal research: Volume 2, Advanced research and technology development: Final report

    SciTech Connect (OSTI)

    Mann, M.D.; Swanson, M.L.; Benson, S.A.; Radonovich, L.; Steadman, E.N.; Sweeny, P.G.; McCollor, D.P.; Kleesattel, D.; Grow, D.; Falcone, S.K.

    1987-04-01T23:59:59.000Z

    Volume II contains articles on advanced combustion phenomena, combustion inorganic transformation; coal/char reactivity; liquefaction reactivity of low-rank coals, gasification ash and slag characterization, and fine particulate emissions. These articles have been entered individually into EDB and ERA. (LTN)

  11. Exploiting the Deep Web with DynaBot: Matching, Probing, and Ranking

    E-Print Network [OSTI]

    Rocco, Daniel

    Exploiting the Deep Web with DynaBot: Matching, Probing, and Ranking Daniel Rocco University, CA, USA critchlow1@llnl.gov ABSTRACT We present the design of Dynabot, a guided Deep Web discovery system. Dynabot's modular architecture sup- ports focused crawling of the Deep Web with an empha- sis

  12. Upgrading of low-rank coals for conventional and advanced combustion systems

    SciTech Connect (OSTI)

    Young, B.C.; Musich, M.A.; Jones, M.L.

    1993-12-31T23:59:59.000Z

    Low-rank coals, subbituminous, lignitic, and brown coals, have a ubiquitous presence in the world, being found in all continents. Close to half of the world`s estimated coal resources are low- rank coals. Many countries have no alternative economic source of energy. In the lower 48 states of the United States, there are 220 billion tons of economically recoverable reserves of lignite and subbituminous coal. Add to this quantity 5 trillion tons of predominantly subbituminous coal in Alaska, and the combined amount represents the largest supply of the lowest-cost fuels available for generating electric power in the United States. However, to use these coals cost-effectively and in an environmentally acceptable way, it is imperative that their properties and combustion/gasification behavior be well understood. The Energy and Environmental Research Center (EERC) takes a cradle-to-grave approach (i.e., mining, precleaning, combustion/gasification, postcleaning, and reuse and disposal of residues) for all aspects of coal processing and utilization. The environmental impact of these activities must be matched with the appropriate technologies. Experience over many years has shown that variations in coal and ash properties have a critical impact on design, reliability and efficiency of operation, and environmental compliance when low-rank coals are burned in conventional systems. This chapter reviews the significant technical issues of beneficiation, which includes reduction in moisture as well as ash (including sulfur), in relation to low-rank coal properties and their impact on conventional and advanced power systems. Finally, the development and utilization of low-rank coal resources are briefly discussed in view of policy, economic, and strategic issues.

  13. Ferroelectric optical image comparator

    DOE Patents [OSTI]

    Butler, M.A.; Land, C.E.; Martin, S.J.; Pfeifer, K.B.

    1993-11-30T23:59:59.000Z

    A ferroelectric optical image comparator has a lead lanthanum zirconate titanate thin-film device which is constructed with a semi-transparent or transparent conductive first electrode on one side of the thin film, a conductive metal second electrode on the other side of the thin film, and the second electrode is in contact with a nonconducting substrate. A photoinduced current in the device represents the dot product between a stored image and an image projected onto the first electrode. One-dimensional autocorrelations are performed by measuring this current while displacing the projected image. 7 figures.

  14. Going To Work: Finding a Job

    E-Print Network [OSTI]

    Hoffman, Rosemarie

    2000-01-07T23:59:59.000Z

    This publication offers basic rules for finding a job, including committing time for the search; contacting friends, relatives and former bosses; checking in more than one place; and keeping records on the job hunt....

  15. On rank 2 vector bundles on Fano manifolds Roberto Mu~noz, Gianluca Occhetta, and Luis E. Sola Conde

    E-Print Network [OSTI]

    Occhetta, Gianluca

    On rank 2 vector bundles on Fano manifolds Roberto Mu~noz, Gianluca Occhetta, and Luis E. Sol´a~NOZ, GIANLUCA OCCHETTA, AND LUIS E. SOL´A CONDE setting of rank two vector bundles on Fano manifolds of Picard

  16. On low-rank updates to the singular value and Tucker decompositions

    SciTech Connect (OSTI)

    O'Hara, M J

    2009-10-06T23:59:59.000Z

    The singular value decomposition is widely used in signal processing and data mining. Since the data often arrives in a stream, the problem of updating matrix decompositions under low-rank modification has been widely studied. Brand developed a technique in 2006 that has many advantages. However, the technique does not directly approximate the updated matrix, but rather its previous low-rank approximation added to the new update, which needs justification. Further, the technique is still too slow for large information processing problems. We show that the technique minimizes the change in error per update, so if the error is small initially it remains small. We show that an updating algorithm for large sparse matrices should be sub-linear in the matrix dimension in order to be practical for large problems, and demonstrate a simple modification to the original technique that meets the requirements.

  17. Propagating modes of non-Abelian tensor gauge field of second rank

    E-Print Network [OSTI]

    Spyros Konitopoulos; George Savvidy

    2007-06-06T23:59:59.000Z

    In the recently proposed extension of the YM theory, non-Abelian tensor gauge field of the second rank is represented by a general tensor whose symmetric part describes the propagation of charged gauge boson of helicity two and its antisymmetric part - the helicity zero charged gauge boson. On the non-interacting level these polarizations are similar to the polarizations of the graviton and of the Abelian antisymmetric B field, but the interaction of these gauge bosons carrying non-commutative internal charges cannot be directly identified with the interaction of gravitons or B field. Our intention here is to illustrate this result from different perspectives which would include Bianchi identity for the corresponding field strength tensor and the analysis of the second-order partial differential equation which describes in this theory the propagation of non-Abelian tensor gauge field of the second rank.

  18. Thirteenth biennial lignite symposium: technology and utilization of low-rank coals proceedings. Volume 2

    SciTech Connect (OSTI)

    Jones, M.L. (ed.)

    1986-02-01T23:59:59.000Z

    These proceedings are the collected manuscripts from the 1985 Lignite Symposium held at Bismarck, North Dakota on May 21-23, 1985. Sponsorship of the thirteenth biennial meeting was by the United States Department of Energy, the University of North Dakota Energy Research Center, and the Texas University Coal Research Consortium. Seven technical sessions plus two luncheons and a banquet were held during the two and a half day meeting. The final half day included tours of the Great Plains Gasification Plant; Basin Electric's Antelope Valley Power Station; and the Freedom Mine. Sessions covered diverse topics related to the technology and use of low-rank coals including coal development and public policy, combustion, gasification, environmental systems for low-rank coal utilization, liquefaction, beneficiation and coal mining and coal inorganics. All the papers have been entered individually into EDB and ERA.

  19. Thirteenth biennial lignite symposium: technology and utilization of low-rank coals proceedings. Volume 1

    SciTech Connect (OSTI)

    Jones, M.L. (ed.)

    1986-02-01T23:59:59.000Z

    These proceedings are the collected manuscripts from the 1985 Lignite Symposium held at Bismarck, North Dakota on May 21-23. Sponsorship of the thirteenth biennial meeting was by the United States Department of Energy, the University of North Dakota Energy Research Center, and the Texas University Coal Research Consortium. Seven technical sessions were held during the two and a half day meeting. The final half day included tours of the Great Plains Gasification Plant; Basin Electric's Antelope Valley Power Station; and the Freedom Mine. Sessions covered diverse topics related to the technology and use of low-rank coals including coal development and public policy, combustion, gasification, environmental systems for low-rank coal utilization, liquefaction, beneficiation and coal mining and coal inorganics. Twenty-four papers have been entered individually into EDB and ERA.

  20. Low-rank coal research under the UND/DOE cooperative agreement. Quarterly technical progress report, April 1983-June 1983

    SciTech Connect (OSTI)

    Wiltsee, Jr., G. A.

    1983-01-01T23:59:59.000Z

    Progress reports are presented for the following tasks: (1) gasification wastewater treatment and reuse; (2) fine coal cleaning; (3) coal-water slurry preparation; (4) low-rank coal liquefaction; (5) combined flue gas cleanup/simultaneous SO/sub x/-NO/sub x/ control; (6) particulate control and hydrocarbons and trace element emissions from low-rank coals; (7) waste characterization; (8) combustion research and ash fowling; (9) fluidized-bed combustion of low-rank coals; (10) ash and slag characterization; (11) organic structure of coal; (12) distribution of inorganics in low-rank coals; (13) physical properties and moisture of low-rank coals; (14) supercritical solvent extraction; and (15) pyrolysis and devolatilization.

  1. Automatic Photo Ranking Based on Esthetics Rules of Photography Wai-Seng Ng

    E-Print Network [OSTI]

    Ouhyoung, Ming

    ranking is effective. Furthermore, 2000 photos from dpchal- lenge website are used for training (1000 of cap- turing light on a light-sensitive medium, such as films or electronic e-mail: markng@cmlab.csie.ntu.edu.tw e-mail: photo@cmlab.csie.ntu.edu.tw e-mail: chyei@cmlab.csie.ntu.edu.tw §e-mail: ¶e-mail: e

  2. Process for clean-burning fuel from low-rank coal

    DOE Patents [OSTI]

    Merriam, Norman W. (Laramie, WY); Sethi, Vijay (Laramie, WY); Brecher, Lee E. (Laramie, WY)

    1994-01-01T23:59:59.000Z

    A process for upgrading and stabilizing low-rank coal involving the sequential processing of the coal through three fluidized beds; first a dryer, then a pyrolyzer, and finally a cooler. The fluidizing gas for the cooler is the exit gas from the pyrolyzer with the addition of water for cooling. Overhead gas from pyrolyzing is likely burned to furnish the energy for the process. The product coal exits with a tar-like pitch sealant to enhance its safety during storage.

  3. Discrete and continuous exponential transforms of simple Lie groups of rank two

    E-Print Network [OSTI]

    Iryna Kashuba; Jiri Patera

    2007-02-05T23:59:59.000Z

    We develop and describe continuous and discrete transforms of class functions on compact simple Lie group $G$ as their expansions into series of uncommon special functions, called here $\\E$-functions in recognition of the fact that the functions generalize common exponential functions. The rank of $G$ is the number of variables in the $\\E$-functions. A uniform discretization of the decomposition problem is described on lattices of any density and symmetry admissible for the Lie group $G$.

  4. Private quantum codes: introduction and connection with higher rank numerical ranges

    E-Print Network [OSTI]

    D. W. Kribs; S. Plosker

    2014-07-05T23:59:59.000Z

    We give a brief introduction to private quantum codes, a basic notion in quantum cryptography and key distribution. Private code states are characterized by indistinguishability of their output states under the action of a quantum channel, and we show that higher rank numerical ranges can be used to describe them. We also show how this description arises naturally via conjugate channels and the bridge between quantum error correction and cryptography.

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

    E-Print Network [OSTI]

    Wang, Zhongmiao

    2009-05-15T23:59:59.000Z

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

  6. BETO Ranks High in Biofuels Digest's Top 125 in the Advanced Bioeconomy |

    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 DataCombinedDepartment2015ServicesEfficiency |OperationalMonthly News

  7. Finding scientific articles 1. Find a specific article using google scholar or

    E-Print Network [OSTI]

    Schweik, Charles M.

    are connected through UMass ­ most articles are only available through academic libraries #12;Finding scientific#12;Finding scientific articles 1. Find a specific article using google scholar or web of science by searching for author name + title, year or journal name Note: you can only download articles if you

  8. Modified hazard ranking system for sites with mixed radioactive and hazardous wastes. User manual.

    SciTech Connect (OSTI)

    Hawley, K.A.; Peloquin, R.A.; Stenner, R.D.

    1986-04-01T23:59:59.000Z

    This document describes both the original Hazard Ranking System and the modified Hazard Ranking System as they are to be used in evaluating the relative potential for uncontrolled hazardous substance facilities to cause human health or safety problems or ecological or environmental damage. Detailed instructions for using the mHRS/HRS computer code are provided, along with instructions for performing the calculations by hand. Uniform application of the ranking system will permit the DOE to identify those releases of hazardous substances that pose the greatest hazard to humans or the environment. However, the mHRS/HRS by itself cannot establish priorities for the allocation of funds for remedial action. The mHRS/HRS is a means for applying uniform technical judgment regarding the potential hazards presented by a facility relative to other facilities. It does not address the feasibility, desirability, or degree of cleanup required. Neither does it deal with the readiness or ability of a state to carry out such remedial action, as may be indicated, or to meet other conditions prescribed in CERCLA. 13 refs., 13 figs., 27 tabs.

  9. Comparative gene identification in mammalian, fly, and fungal genomes

    E-Print Network [OSTI]

    Lin, Michael F. (Michael Fong-Jay)

    2006-01-01T23:59:59.000Z

    An important step in genome interpretation is the accurate identification of protein-coding genes. One approach to gene identification is comparative analysis of the genomes of several related species, to find genes that ...

  10. Finding Acceptable Solutions Faster Using Inadmissible Information

    E-Print Network [OSTI]

    Ruml, Wheeler

    explicit estimation search (EES), a bounded suboptimal search algorithm that uses unbiased cost(n)+h(n) becomes f (n) = g(n)+w·h(n). The weight, w, increases the importance of h (estimated cost of reaching attempt to find a solution quickly while guaranteeing that its cost does not exceed optimal by more than

  11. Proof positive : finding the cause of AIDS

    E-Print Network [OSTI]

    Rulison, Megan R. (Megan Rebecca)

    2008-01-01T23:59:59.000Z

    In 2008, it will have been 25 years since HIV was first isolated from a patient with AIDS. In the early 1980s, when the mysterious disease of the immune system spread across the globe, scientists began a race to find the ...

  12. An interesting finding in sup 229 Th

    SciTech Connect (OSTI)

    Reich, C.W.

    1990-01-01T23:59:59.000Z

    Work at INEL has recently established that the first excited states of {sup 229}Th forms a closely spaced doublet with the ground state, the separation being 1 {plus minus} 4 electron volts. A discussion of the data and the reasoning supporting this unprecedented finding is given. Some potential applications are briefly mentioned. 27 refs., 3 figs., 2 tabs.

  13. Atlas Finding Aid Contents/Index

    E-Print Network [OSTI]

    Ward, Karen

    Atlas Finding Aid Contents/Index A (1) City & State Atlas A (2) Astronomy Atlas A (3) U.S. Atlas A (4) Water Atlas A (5) South America & Central America A (6) Africa, Asia, &, Antarctica A (7) Mexico A (8) Geologic Atlases A (9) Environment / Forest & Desert A (10) Historic Atlases A (11) World Atlases

  14. Find us on Facebook myscienceacademy.org

    E-Print Network [OSTI]

    Chiao, Jung-Chih

    Find us on Facebook myscienceacademy.org 144,123 people like myscienceacademy.org. Facebook social In Recommendations Log in to Facebook to see your friends' recommendations. 24 Places That Look Not Normal this. 10 Famous Drug Myths 559 people recommend this. Facebook social plugin Share by Email · reddit

  15. Brain Imaging Findings in Neuropathic Pain

    E-Print Network [OSTI]

    Apkarian, A. Vania

    Brain Imaging Findings in Neuropathic Pain Paul Y. Geha, MD and A. Vania Apkarian, PhD* Address (posther- petic neuralgia), then the spinal cord (postspinal cord injury pain), to the brain itself mechanisms; hence, they assume implicitly or explicitly that the rest of the brain passively responds

  16. Island-finding ability of marine turtles

    E-Print Network [OSTI]

    Hays, Graeme

    of the equatorial Atlantic. To test the hypothesis that turtles use wind-borne cues to locate Ascension Island we back to the island. These find- ings strongly support the hypothesis that wind-borne cues are used that hatch- ling loggerhead turtles (Caretta caretta) have the ability to perceive the inclination

  17. How to find local vacancies in Cheshire,

    E-Print Network [OSTI]

    How to find local vacancies in Cheshire, North West and North Midlands areas This guide is part and workshops. To look at full-time graduate vacancies, part-time jobs and placement opportunities look at www careers website with online job matching service by region www.graduateadvantage.co.uk vacancy information

  18. How to find local vacancies in

    E-Print Network [OSTI]

    How to find local vacancies in Manchester & the North West This hand out is part of the Jobseeking vacancies, part-time jobs and placement opportunities look at www.mmu.ac.uk/careers/coves. The Careers.graduateadvantage.co.uk vacancy information and support services for graduates in the West Midlands area, including Staffordshire

  19. Spectral measures associated to rank two Lie groups and finite subgroups of $GL(2,\\mathbb{Z})$

    E-Print Network [OSTI]

    David E. Evans; Mathew Pugh

    2014-04-07T23:59:59.000Z

    Spectral measures for fundamental representations of the rank two Lie groups $A_2$, $C_2$ and $G_2$ have been studied. Since these groups have rank two, these spectral measures can be defined as measures over their maximal torus $\\mathbb{T}^2$ and are invariant under an action of the corresponding Weyl group, which are all subgroups of $GL(2,\\mathbb{Z})$. Here we consider spectral measures invariant under an action of the other finite subgroups of $GL(2,\\mathbb{Z})$, which are all associated fundamental representations of other rank two Lie groups.

  20. Commercial Building Energy Asset Score: Pilot Findings and Program...

    Office of Environmental Management (EM)

    Score: Pilot Findings and Program Update Commercial Building Energy Asset Score: Pilot Findings and Program Update The webinar was held on April 16, 2014, to share the findings...