National Library of Energy BETA

Sample records for rankings compare find

  1. Finding True Beliefs: Applying Rank-Dependent Expected Utility Theory

    E-Print Network [OSTI]

    Chen, Yiling

    -making that incorporates probability weighting and non-linear utility functions, to the analysis of the quadratic scoringFinding True Beliefs: Applying Rank-Dependent Expected Utility Theory to Proper Scoring Rules-value maximizers. Thus, we apply rank-dependent expected utility theory, a more general model of decision

  2. O B J E C T I V E : T he student should be able to rank, identify, and compare the types of coal.

    E-Print Network [OSTI]

    Johnson, Cari

    O B J E C T I V E : T he student should be able to rank, identify, and compare the types of coal. C worksheet. 3. Using tongs, hold a piece of each type of coal in a flame for the class to see. 4. Ask observations of the four types of coal burning below: Coal Identification Worksheet Coal-Related Activities

  3. Comparing the College of Charleston to Other Institutions: Average Salaries of Instructional Staff by Rank South Carolina Institutions

    E-Print Network [OSTI]

    Kunkle, Tom

    of Instructional Staff by Rank South Carolina Institutions Aspirational Peers Institutional Research and Planning,684 Public Citadel Military College of South Carolina $73,035 $90,468 $74,052 $60,489 $48,170 $92,421 $71,226 $59,994 $45,819 University of South CarolinaColumbia $85,626 $124,524 $84

  4. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouthReport for the t-) S/,,5 'a C O M P R E H E N S I551 - g--Finding

  5. Ranking nodes in growing networks: When PageRank fails

    E-Print Network [OSTI]

    Mariani, Manuel Sebastian; Zhang, Yi-Cheng

    2015-01-01

    PageRank is arguably the most popular ranking algorithm which is being applied in real systems ranging from information to biological and infrastructure networks. Despite its outstanding popularity and broad use in different areas of science, the relation between the algorithm's efficacy and properties of the network on which it acts has not yet been fully understood. We study here PageRank's performance on a network model supported by real data, and show that realistic temporal effects make PageRank fail in individuating the most valuable nodes for a broad range of model parameters. Results on real data are in qualitative agreement with our model-based findings. This failure of PageRank reveals that the static approach to information filtering is inappropriate for a broad class of growing systems, and suggest that time-dependent algorithms that are based on the temporal linking patterns of these systems are needed to better rank the nodes.

  6. Low rank matrix completion

    E-Print Network [OSTI]

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

    2009-01-01

    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 ...

  7. Rank Project Name Directorate,

    E-Print Network [OSTI]

    ,000 0.5 400 lbs industrial waste, eliminates potential for oil contaminated run-off 3 RetrofitRank Project Name Directorate, Dept/Div and POC Cost Savings Payback (Years) Waste Reduction 1 Minimization of Silver Waste from Silver-Staining Electrophoretic Mini-Gels Life Sciences, Biology (B

  8. Rank Journal title Eigenfactor

    E-Print Network [OSTI]

    Rank Journal title 2014 Total Cites 2014 Impact Factor 5-Year Impact Factor Immediacy Index 2013 Articles Cited Half-life Eigenfactor® Score Article Influence® Score 1 JOURNAL OF ECONOMIC LITERATURE 5861 ACADEMY OF MANAGEMENT JOURNAL 22351 6.448 9.812 0.653 72 >10.0 0.02813 5.738 5 QUARTERLY JOURNAL

  9. Rank Journal title Eigenfactor

    E-Print Network [OSTI]

    Rank Journal title 2013 Total Cites 2013 Impact Factor 5-Year Impact Factor Immediacy Index 2013 Articles Cited Half-life Eigenfactor® Score Article Influence® Score 1 JOURNAL OF ECONOMIC LITERATURE 5479 JOURNAL OF ECONOMICS 16827 5.966 9.126 0.775 40 >10.0 0.05316 14.78 5 ACADEMY OF MANAGEMENT JOURNAL 19426

  10. Nuclear Engineering Program Ranking

    E-Print Network [OSTI]

    Evans, Paul G.

    Nuclear Engineering Program Ranking 2 Enrollment Approximately 200 undergraduate students and 120 in Nuclear Engineering (BS) · Bachelor of Science in Engineering Physics (BS) · Master of Science in Nuclear Engineering and Engineering Physics (MS) · Doctor of Philosophy in Nuclear Engineering and Engineering Physics

  11. Guide to journal rankings 1. What are journal rankings?

    E-Print Network [OSTI]

    McCusker, Guy

    Opus Guide to journal rankings 1. What are journal rankings? Journal rankings are metrics that provide information on how a journal performs in comparison with other journals in the same discipline. Articles in high impact journals are more likely to be cited. Good citation counts are often considered

  12. Rank Equilibration and Political Behavior 

    E-Print Network [OSTI]

    Anderson, Bo; Zelditch, Morris Jr

    2015-07-14

    /plain; charset=UTF-8 RANK EQUILIBRATION AND POLITICAL BEHAVIOR by Bo Anderson and Morris Zelditch, Jr0 TR #9 Rank Equilibration end Political Behavior* 1« Introduction The terra ,,status politics" refers to a way of conceptualizing some aspects o...

  13. MATH 51 LECTURE NOTES: HOW GOOGLE RANKS WEB PAGES

    E-Print Network [OSTI]

    Easton, Robert W.

    MATH 51 LECTURE NOTES: HOW GOOGLE RANKS WEB PAGES BRIAN WHITE During a typical use of a search engine, (1) the user types a word, (2) the engine finds all web pages that contain the given word, and (3 of doing step 3, that is, a better way of ranking web pages. Google's method is called the Page

  14. Low-rank coal research

    SciTech Connect (OSTI)

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

    1989-01-01

    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).

  15. Random Walker Ranking for NCAA Division I-A Football

    E-Print Network [OSTI]

    Callaghan, T; Mucha, P J; Callaghan, Thomas; Porter, Mason A.; Mucha, Peter J.

    2003-01-01

    We develop a one-parameter family of ranking systems for NCAA Division I-A football teams based on a collection of voters, each with a single vote, executing independent random walks on a network defined by the teams (vertices) and the games played (edges). The virtue of this class of ranking systems lies in the simplicity of its explanation. We discuss the statistical properties of the randomly walking voters and relate them to the community structure of the underlying network. We compare the results of these rankings for recent seasons with Bowl Championship Series standings and component rankings. To better understand this ranking system, we also examine the asymptotic behaviors of the aggregate of walkers. Finally, we consider possible generalizations to this ranking algorithm.

  16. Do PageRank-based author rankings outperform simple citation counts?

    E-Print Network [OSTI]

    Fiala, Dalibor; Žitnik, Slavko; Bajec, Marko

    2015-01-01

    The basic indicators of a researcher's productivity and impact are still the number of publications and their citation counts. These metrics are clear, straightforward, and easy to obtain. When a ranking of scholars is needed, for instance in grant, award, or promotion procedures, their use is the fastest and cheapest way of prioritizing some scientists over others. However, due to their nature, there is a danger of oversimplifying scientific achievements. Therefore, many other indicators have been proposed including the usage of the PageRank algorithm known for the ranking of webpages and its modifications suited to citation networks. Nevertheless, this recursive method is computationally expensive and even if it has the advantage of favouring prestige over popularity, its application should be well justified, particularly when compared to the standard citation counts. In this study, we analyze three large datasets of computer science papers in the categories of artificial intelligence, software engineering,...

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

    E-Print Network [OSTI]

    2012-05-23

    M ? rank M. In Exam- ple 2.3 we saw that the first inequality may be strict. We now ..... Let Si denote the ith row of SP . Since rank SP = n+ 1, we have ? n+2.

  18. Low rank approximations of matrices and tensors

    E-Print Network [OSTI]

    Friedland, Shmuel

    Low rank approximations of matrices and tensors S. Friedland, V. Mehrmann, A. Miedlar and M, 2008 S. Friedland, V. Mehrmann, A. Miedlar and M. Nkengla Low rank approximations of matrices and tensors #12;Overview S. Friedland, V. Mehrmann, A. Miedlar and M. Nkengla Low rank approximations

  19. Find Clear

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

    p align"left">

    Find Clear Slide Title Duration Status myMail@adobe.com http:Adobe.com More Info>>

  20. On Boolean matrices with full factor rank

    SciTech Connect (OSTI)

    Shitov, Ya

    2013-11-30

    It is demonstrated that every (0,1)-matrix of size n×m having Boolean rank n contains a column with at least ?n/2?1 zero entries. This bound is shown to be asymptotically optimal. As a corollary, it is established that the size of a full-rank Boolean matrix is bounded from above by a function of its tropical and determinantal ranks. Bibliography: 16 titles.

  1. Personalized PageRank Solution Paths

    E-Print Network [OSTI]

    2015-04-13

    gorithms to estimate the solution path as a function of the sparsity and propose .... see shortly, we actually are describing degree normalized. PageRank values.

  2. Find Books

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES OctoberEvanServices » Incentives & Financing »FindBooks

  3. Find Preprints

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES OctoberEvanServices » Incentives & Financing|Preprints Find

  4. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES OctoberEvanServices » Incentives &Reports Find Reports Most

  5. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES OctoberEvanServices » Incentives &Reports Find Reports

  6. The generating rank of the symplectic grassmannians

    E-Print Network [OSTI]

    Blok, Rieuwert J.

    The generating rank of the symplectic grassmannians: hyperbolic and isotropic geometry Rieuwert J.S.A. blokr@member.ams.org Accepted: March 7 2006 Key Words: symplectic geometry, grassmannian, generating to the symplectic group Sp2n(F) has generating rank 2n k - 2n k-2 when Char(F) = 2. #12;1 Introduction Generating

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

    E-Print Network [OSTI]

    Cohen, William W.

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

  8. Find Jobs | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterFinancial Opportunities Financial OpportunitiesJobs Find Jobs Clean

  9. Rank Quantization Mountain View, CA, USA

    E-Print Network [OSTI]

    Singh, Jaswinder Pal

    Rank Quantization Ravi Kumar Google Mountain View, CA, USA ravi.k53@gmail.com Ronny Lempel Yahoo and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post

  10. Low-rank coal oil agglomeration

    DOE Patents [OSTI]

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

    1991-01-01

    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.

  11. 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 of Strathclyde Business School University of Pretoria, Gibs IMD 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10 Top/WHU Beisheim Tsinghua University/Insead Top for international business Rank Business School 1 2 3 4 5 6 7 8 9

  12. Presidential Rank Awards Announced | 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 RankADVANCED MANUFACTURINGEnergy Bills andOrderNATIONAL CHAIRSEnergyPresidential Rank Awards Announced

  13. Groundwater contaminant plume ranking. [UMTRA Project

    SciTech Connect (OSTI)

    Not Available

    1988-08-01

    Containment plumes at Uranium Mill Tailings Remedial Action (UMTRA) Project sites were ranked to assist in Subpart B (i.e., restoration requirements of 40 CFR Part 192) compliance strategies for each site, to prioritize aquifer restoration, and to budget future requests and allocations. The rankings roughly estimate hazards to the environment and human health, and thus assist in determining for which sites cleanup, if appropriate, will provide the greatest benefits for funds available. The rankings are based on the scores that were obtained using the US Department of Energy's (DOE) Modified Hazard Ranking System (MHRS). The MHRS and HRS consider and score three hazard modes for a site: migration, fire and explosion, and direct contact. The migration hazard mode score reflects the potential for harm to humans or the environment from migration of a hazardous substance off a site by groundwater, surface water, and air; it is a composite of separate scores for each of these routes. For ranking the containment plumes at UMTRA Project sites, it was assumed that each site had been remediated in compliance with the EPA standards and that relict contaminant plumes were present. Therefore, only the groundwater route was scored, and the surface water and air routes were not considered. Section 2.0 of this document describes the assumptions and procedures used to score the groundwater route, and Section 3.0 provides the resulting scores for each site. 40 tabs.

  14. 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

    2013-01-01

    8 | Issue 12 | e82146 Low-Rank for Learning Gene ExpressionWe will call (3) the linear low-rank model in the following.so is its square root K 2 . Low-rank regularized nonlinear

  15. Rank-finiteness for modular categories

    E-Print Network [OSTI]

    Paul Bruillard; Siu-Hung Ng; Eric C. Rowell; Zhenghan Wang

    2015-05-27

    We prove a rank-finiteness conjecture for modular categories: up to equivalence, there are only finitely many modular categories of any fixed rank. Our technical advance is a generalization of the Cauchy theorem in group theory to the context of spherical fusion categories. For a modular category $\\mathcal{C}$ with $N=ord(T)$, the order of the modular $T$-matrix, the Cauchy theorem says that the set of primes dividing the global quantum dimension $D^2$ in the Dedekind domain $\\mathbb{Z}[e^{\\frac{2\\pi i}{N}}]$ is identical to that of $N$.

  16. Spectral thresholding quantum tomography for low rank states

    E-Print Network [OSTI]

    Cristina Butucea; Madalin Guta; Theodore Kypraios

    2015-04-30

    The estimation of high dimensional quantum states is an important statistical problem arising in current quantum technology applications. A key example is the tomography of multiple ions states, employed in the validation of state preparation in ion trap experiments \\cite{Haffner2005}. Since full tomography becomes unfeasible even for a small number of ions, there is a need to investigate lower dimensional statistical models which capture prior information about the state, and to devise estimation methods tailored to such models. In this paper we propose several new methods aimed at the efficient estimation of low rank states in multiple ions tomography. All methods consist in first computing the least squares estimator, followed by its truncation to an appropriately chosen smaller rank. The latter is done by setting eigenvalues below a certain "noise level" to zero, while keeping the rest unchanged, or normalising them appropriately. We show that (up to logarithmic factors in the space dimension) the mean square error of the resulting estimators scales as $r\\cdot d/N$ where $r$ is the rank, $d=2^k$ is the dimension of the Hilbert space, and $N$ is the number of quantum samples. Furthermore we establish a lower bound for the asymptotic minimax risk which shows that the above scaling is optimal. The performance of the estimators is analysed in an extensive simulations study, with emphasis on the dependence on the state rank, and the number of measurement repetitions. We find that all estimators perform significantly better that the least squares, with the "physical estimator" (which is a bona fide density matrix) slightly outperforming the other estimators.

  17. Rank Project Name Directorate, Dept/Div

    E-Print Network [OSTI]

    gallons industrial waste 7 Oil-free Vacuum Pumps and new Catalyst EENS, Environmental Sciences Dept. (L. Nunnermacker) $6,000 $3,516 1.7 50 pounds of hazardous waste 8 Bulk Motor Oil F&A, Staff Services (H. HauptmanRank Project Name Directorate, Dept/Div and POC Cost Savings Payback (Years) Waste Reduction 1

  18. Rank Project Name Directorate, Dept/Div

    E-Print Network [OSTI]

    Electronic Recycling Procurement & Property Management (John Collins) $3,500 TBD N/A 10 tons of e-waste 7 Oil,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

  19. Ranking websites through prioritized web accessibility barriers

    E-Print Network [OSTI]

    Brajnik, Giorgio

    of these comments apply as well to the current WCAG 2.0 draft, to Section 508 and to the Italian official technical criteria in WCAG 2.0), or when they do it (like priority levels in WCAG 1.0) they do not depend on specificRanking websites through prioritized web accessibility barriers Giorgio Brajnik Dip. di Matematica

  20. Low-rank coal oil agglomeration

    DOE Patents [OSTI]

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

    1991-07-16

    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.

  1. Atomic Representations of Rank 2 Graph Algebras

    E-Print Network [OSTI]

    Davidson, Ken

    Atomic Representations of Rank 2 Graph Algebras Kenneth R. Davidson a , Stephen C. Power b , Dilian University, Lancaster LA1 4YF, U.K. Abstract We provide a detailed analysis of atomic -representations- posed into a direct sum or direct integral of irreducible atomic representations. The building blocks

  2. Link Analysis Ranking Algorithms, Theory, and Experiments #

    E-Print Network [OSTI]

    Rosenthal, Jeffrey S.

    and the widespread accessibility of the Web has led to surge of research activity in the area of information retrieval on the World Wide Web. The seminal papers of Kleinberg [31], and Brin and Page [9] introduced Link Analysis Ranking, where hyperlink structures are used to determine the relative authority of a Web page

  3. Asymptotics of spherical superfunctions on rank one Riemannian symmetric superspaces

    E-Print Network [OSTI]

    Alexander Alldridge; Wolfgang Palzer

    2014-11-21

    We compute the Harish-Chandra $c$-function for a generic class of rank-one purely non-compact Riemannian symmetric superspaces $X=G/K$ in terms of Euler $\\Gamma$ functions, proving that it is meromorphic. Compared to the even case, the poles of the $c$-function are shifted into the right half-space. We derive the full asymptotic Harish-Chandra series expansion of the spherical superfunctions on $X$. In the case where the multiplicity of the simple root is an even negative number, they have a closed expression as Jacobi polynomials for an unusual choice of parameters.

  4. Higher rank stable pairs and virtual localization

    E-Print Network [OSTI]

    Artan Sheshmani

    2015-02-08

    We introduce a higher rank analog of the Pandharipande-Thomas theory of stable pairs on a Calabi-Yau threefold $X$. More precisely, we develop a moduli theory for frozen triples given by the data $O^r(-n)\\rightarrow F$ where $F$ is a sheaf of pure dimension 1. The moduli space of such objects does not naturally determine an enumerative theory: that is, it does not naturally possess a perfect symmetric obstruction theory. Instead, we build a zero-dimensional virtual fundamental class by hand, by truncating a deformation-obstruction theory coming from the moduli of objects in the derived category of $X$. This yields the first deformation-theoretic construction of a higher-rank enumerative theory for Calabi-Yau threefolds. We calculate this enumerative theory for local $\\mathbb{P}^1$ using the Graber-Pandharipande virtual localization technique.

  5. Finding a Needle in the Haystack: A Technique for Ranking Matches between Components

    E-Print Network [OSTI]

    Claypool, Kajal

    Tansalarak and Kajal Claypool Department of Computer Science, University of Massachusetts ­ Lowell fntansala a well­studied problem, resulting in many different matching techniques such as keyword, facet, signature qualitative and quantitative analysis to evaluate the QoM of two given components based on component

  6. Finding a Needle in the Haystack: A Technique for Ranking Matches between Components

    E-Print Network [OSTI]

    Claypool, Kajal

    Tansalarak and Kajal Claypool Department of Computer Science, University of Massachusetts - Lowell ntansala such as keyword, facet, signature and specification matching techniques. How- ever, each matching technique. In partic- ular, we provide qualitative and quantitative analysis to evaluate the QoM of two given

  7. Finding Relevant Documents Using Top Ranking Sentences : An Evaluation of Two Alternative Schemes

    E-Print Network [OSTI]

    White, R.W.

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

  8. CALCULATING RANKS, NULL SPACES AND PSEUDOINVERSE SOLUTIONS FOR

    E-Print Network [OSTI]

    Foster, Leslie

    CONFERENCE 2009, OCT. 26-31, 2009, M #12;ALGORITM SPQR_NULL SPQR_NULL: returns accurate numerical rank

  9. Random Walker Ranking for NCAA Division I-A Football

    E-Print Network [OSTI]

    Porter, Mason A.

    Random Walker Ranking for NCAA Division I-A Football Thomas Callaghan, Peter J. Mucha, and Mason A the top two NCAA Division I-A college football teams in a National Championship game at the end of each in accurately ranking or even agreeing on a ranking methodology for college football lies in two factors

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

    E-Print Network [OSTI]

    Murphy, Robert F.

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

  11. 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

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

    E-Print Network [OSTI]

    Adams, Mark

    2014-01-01

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

  13. Low rank approach to computing first and higher order derivatives using automatic differentiation

    SciTech Connect (OSTI)

    Reed, J. A.; Abdel-Khalik, H. S. [North Carolina State Univ., Dept. of Nuclear Engineering, Raleigh, NC 27695-7909 (United States); Utke, J. [Mathematics and Computer Science Div., Argonne National Laboratory, Argonne, IL 60439 (United States)

    2012-07-01

    This manuscript outlines a new approach for increasing the efficiency of applying automatic differentiation (AD) to large scale computational models. By using the principles of the Efficient Subspace Method (ESM), low rank approximations of the derivatives for first and higher orders can be calculated using minimized computational resources. The output obtained from nuclear reactor calculations typically has a much smaller numerical rank compared to the number of inputs and outputs. This rank deficiency can be exploited to reduce the number of derivatives that need to be calculated using AD. The effective rank can be determined according to ESM by computing derivatives with AD at random inputs. Reduced or pseudo variables are then defined and new derivatives are calculated with respect to the pseudo variables. Two different AD packages are used: OpenAD and Rapsodia. OpenAD is used to determine the effective rank and the subspace that contains the derivatives. Rapsodia is then used to calculate derivatives with respect to the pseudo variables for the desired order. The overall approach is applied to two simple problems and to MATWS, a safety code for sodium cooled reactors. (authors)

  14. Lowest-rank Solutions of Continuous and Discrete Lyapunov ...

    E-Print Network [OSTI]

    Ziyan Luo

    2012-10-09

    Oct 9, 2012 ... Abstract: The low-rank solutions of continuous and discrete Lyapunov equations are of great importance but generally difficult to achieve in ...

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

    SciTech Connect (OSTI)

    Not Available

    1991-01-01

    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.

  16. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding8: Finding0: Finding

  17. Characterization of Logics Over Ranked Tree Thomas Place

    E-Print Network [OSTI]

    Doyen, Laurent

    Characterization of Logics Over Ranked Tree Languages Thomas Place LSV, ENS-Cachan, CNRS, INRIA combinations of 1 over ranked trees. In particular, we provide effective characterizations of those three logics using algebraic identities. Characterizations had already been obtained for those logics over

  18. Distribution of ranks of ?-decay half-lives

    E-Print Network [OSTI]

    Juan Miguel Campanario

    2010-11-21

    I studied the distribution of ranks of values of 2949 {\\beta}-decay half-lives according to an empirical beta law with two exponents. {\\beta}-decay half-life ranks showed good fit to a beta function with two exponents.

  19. Chemical comminution and deashing of low-rank coals

    DOE Patents [OSTI]

    Quigley, David R. (Idaho Falls, ID)

    1992-01-01

    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.

  20. Chemical comminution and deashing of low-rank coals

    DOE Patents [OSTI]

    Quigley, David R.

    1992-12-01

    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.

  1. Computable structures of Scott rank # CK familiar classes

    E-Print Network [OSTI]

    Calvert, Wesley

    Computable structures of Scott rank # CK 1 in familiar classes W. Calvert, S. S. Goncharov, and J. F. Knight # July 6, 2005 Abstract There are familiar examples of computable structures having various computable Scott ranks. There are also familiar structures, such as the Harrison ordering

  2. Rankings of Academic Journals and Institutions in Economics

    E-Print Network [OSTI]

    Rankings of Academic Journals and Institutions in Economics Pantelis Kalaitzidakis University European Economic Association is gratefully acknowledged. #12;1 Introduction There has been a lot of recent research literature on rankings of economics departments throughout the world. They serve as signals tools

  3. Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination

    E-Print Network [OSTI]

    Zhang, Liqing

    IEEEProof Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination Qibin--CANDECOMP/PARAFAC (CP) tensor factorization of incomplete data is a powerful technique for tensor completion through explicitly capturing the multilinear latent factors. The existing CP algorithms require the tensor rank

  4. Knowledge based ranking algorithm for comparative assessment of post-closure care needs of closed landfills

    SciTech Connect (OSTI)

    Sizirici, Banu; Tansel, Berrin; Kumar, Vivek

    2011-06-15

    Post-closure care (PCC) activities at landfills include cap maintenance; water quality monitoring; maintenance and monitoring of the gas collection/control system, leachate collection system, groundwater monitoring wells, and surface water management system; and general site maintenance. The objective of this study was to develop an integrated data and knowledge based decision making tool for preliminary estimation of PCC needs at closed landfills. To develop the decision making tool, 11 categories of parameters were identified as critical areas which could affect future PCC needs. Each category was further analyzed by detailed questions which could be answered with limited data and knowledge about the site, its history, location, and site specific characteristics. Depending on the existing knowledge base, a score was assigned to each question (on a scale 1-10, as 1 being the best and 10 being the worst). Each category was also assigned a weight based on its relative importance on the site conditions and PCC needs. The overall landfill score was obtained from the total weighted sum attained. Based on the overall score, landfill conditions could be categorized as critical, acceptable, or good. Critical condition indicates that the landfill may be a threat to the human health and the environment and necessary steps should be taken. Acceptable condition indicates that the landfill is currently stable and the monitoring should be continued. Good condition indicates that the landfill is stable and the monitoring activities can be reduced in the future. The knowledge base algorithm was applied to two case study landfills for preliminary assessment of PCC performance.

  5. Comparing the College of Charleston to Other Institutions: Rank of Instructional Staff South Carolina Institutions

    E-Print Network [OSTI]

    Kunkle, Tom

    of Instructional Staff South Carolina Institutions Aspirational Peers Institutional Research and Planning 2014 College of South Carolina 186 56 62 53 15 Clemson University 1,101 335 280 241 5 Coastal Carolina University 410 69 107 120 11 University of South CarolinaColumbia 1,507 342 487 471 158

  6. Peak finding using biorthogonal wavelets

    SciTech Connect (OSTI)

    Tan, C.Y.

    2000-02-01

    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.

  7. 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:FinancingPetroleum12, 2015ExecutiveFluorescent LampFort Collins, Colorado on3of EnergyWord Find

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

    E-Print Network [OSTI]

    Bataillon, Thomas

    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. Appendix 14 CSKT Sensitive Species and Heritage Program Ranks for

    E-Print Network [OSTI]

    lemming Wolverine Gray wolf Fisher Grizzly bear River Otter Lynx Montana Natural Heritage Program Ranks Botrychium lineare Linearleaf Moonwort G1 S1 C Botrychium montanum Mountain Moonwort G3 S3 SENSITIVE

  10. Introduction Florida ranks second among the states in fresh market

    E-Print Network [OSTI]

    Ma, Lena

    corn, tomatoes and watermelons. Florida ranks second in fresh market value of strawberry, sweet pepper.5 % of the state's total value. Other major crops with a lesser proportion of the 2009 crop value were strawberry

  11. Linear rank inequalities on five or more variables

    E-Print Network [OSTI]

    Dougherty, Randall; Zeger, Kenneth

    2009-01-01

    Ranks of subspaces of vector spaces satisfy all linear inequalities satisfied by entropies (including the standard Shannon inequalities) and an additional inequality due to Ingleton. It is known that the Shannon and Ingleton inequalities generate all such linear rank inequalities on up to four variables, but it has been an open question whether additional inequalities hold for the case of five or more variables. Here we give a list of 24 inequalities which, together with the Shannon and Ingleton inequalities, generate all linear rank inequalities on five variables. We also give a partial list of linear rank inequalities on six variables and general results which produce such inequalities on an arbitrary number of variables; we prove that there are essentially new inequalities at each number of variables beyond four (a result also proved recently by Kinser).

  12. NETL's New Supercomputer Ranks Among the World's Top 100 | Department...

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

    Computer for Energy and the Environment (HPCEE) is not only on the TOP500 list as one of the top 100 supercomputers in the world--currently ranked at 55--but it is...

  13. Nuclear norm penalized LAD estimator for low rank matrix recovery

    E-Print Network [OSTI]

    Wei, Wenzhe

    2015-01-01

    In the thesis we propose a novel method for low rank matrix recovery. We study the framework using absolute deviation loss function and nuclear penalty. While nuclear norm penalty is widely utilized heuristic method for ...

  14. Test Comparability

    E-Print Network [OSTI]

    Keller, Christine; Shulenburger, David E.

    2010-01-01

    stream_size 3106 stream_content_type text/plain stream_name Test Comparability ChangeJuly (2).pdf.txt stream_source_info Test Comparability ChangeJuly (2).pdf.txt Content-Encoding UTF-8 Content-Type text/plain; charset=UTF-8... 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 share...

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

    SciTech Connect (OSTI)

    Ball, Sydney J

    2008-03-01

    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.

  16. EA-1943: 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: AlternativeCommunication3-E Wholesale Power Rate Schedule8: FinalFindingMitigation ActionFinding

  17. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN |Finding ofFinding of No

  18. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN |Finding ofFinding of

  19. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN |FindingProduction2: Finding

  20. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding ofFinding of

  1. EA-1708: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding8: Finding of No

  2. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding8: Finding of

  3. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding8: Finding of5:

  4. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding8: Finding

  5. EA-1722: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding8: Finding0::

  6. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding8:5: Finding

  7. EA-1762: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe,: Finding2: Finding

  8. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe,: Finding2: Finding3:

  9. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault,Deliverables |5: FindingFinding

  10. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault,Deliverables |5: FindingFinding1:

  11. EA-1824: 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartment ofDepartmentFinding4: Finding of

  12. EA-1929: 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:FinancingPetroleum Based|Department of Energy 8: DOEFinding ofofFinding5: Finding

  13. 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

  14. Evaluating ranking methods on heterogeneous digital library collections

    E-Print Network [OSTI]

    Canévet, Olivier; Marian, Ludmila; Chonavel, Thierry

    In the frame of research in particle physics, CERN has been developing its own web-based software /Invenio/ to run the digital library of all the documents related to CERN and fundamental physics. The documents (articles, photos, news, thesis, ...) can be retrieved through a search engine. The results matching the query of the user can be displayed in several ways: sorted by latest first, author, title and also ranked by word similarity. The purpose of this project is to study and implement a new ranking method in Invenio: distributed-ranking (D-Rank). This method aims at aggregating several ranking scores coming from different ranking methods into a new score. In addition to query-related scores such as word similarity, the goal of the work is to take into account non-query-related scores such as citations, journal impact factor and in particular scores related to the document access frequency in the database. The idea is that for two equally query-relevant documents, if one has been more downloaded for inst...

  15. Dear Rector Simos E. Simopoulos, We are pleased to inform you that your university is ranked excellently in the 2013 Performance Ranking of Scientific Papers for World Universities.

    E-Print Network [OSTI]

    Psarrakos, Panayiotis

    excellently in the 2013 Performance Ranking of Scientific Papers for World Universities. http Performance Ranking of Scientific Papers for World Universities. 72 for Civil Engineering 88 for Chemical Ranking of Scientific Papers for World Universitie is released by the National Taiwan University Ranking

  16. On the Balance of a Set of Ranks 

    E-Print Network [OSTI]

    Zelditch, Morris Jr; Anderson, Bo

    2015-07-13

    the balance o f a s e t o f ranks. A theory o f rank balance i s concerned w ith s itu a t io n s in which a c to r s , s ta tu s e s , or c o l le c t iv e s are ranked in se v e r a l d if fe r e n t ways which can be regarded as in c o n... s is t e n t ? Some examples are: the Negro p r o fe s s io n a l, the w ealthy Jew, the im poverished Boston Brahmin, the $5,000 a year Harvard Ph»D. I t i s w id ely supposed th at d iscrep a n c ies o f th is kind are a source o f s t r a...

  17. A network-based ranking system for American college football

    E-Print Network [OSTI]

    Park, J; Park, Juyong

    2005-01-01

    American college football faces a conflict created by the desire to stage national championship games between the best teams of a season when there is no conventional playoff system to decide which those teams are. Instead, ranking of teams is based on their record of wins and losses during the season, but each team plays only a small fraction of eligible opponents, making the system underdetermined or contradictory or both. It is an interesting challenge to create a ranking system that at once is mathematically well-founded, gives results in general accord with received wisdom concerning the relative strengths of the teams, and is based upon intuitive principles, allowing it to be accepted readily by fans and experts alike. Here we introduce a one-parameter ranking method that satisfies all of these requirements and is based on a network representation of college football schedules.

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

    SciTech Connect (OSTI)

    Mark Holbrook

    2007-07-01

    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.

  19. Using Lotkaian Informetrics for Ranking in Digital Libraries

    E-Print Network [OSTI]

    Schaer, Philipp

    2011-01-01

    The purpose of this paper is to propose the use of models, theories and laws in bibliometrics and scientometrics to enhance information retrieval processes, especially ranking. A common pattern in many man-made data sets is Lotka's Law which follows the well-known power-law distributions. These informetric distributions can be used to give an alternative order to large and scattered result sets and can be applied as a new ranking mechanism. The polyrepresentation of information in Digital Library systems is used to enhance the retrieval quality, to overcome the drawbacks of the typical term-based ranking approaches and to enable users to explore retrieved document sets from a different perspective.

  20. Rank-ordered Multifractal Spectrum for Intermittent Fluctuations

    E-Print Network [OSTI]

    Tom Chang; Cheng-chin Wu

    2007-12-27

    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.

  1. Enhancing Invenio Digital Library With An External Relevance Ranking Engine

    E-Print Network [OSTI]

    Glauner, Patrick Oliver

    Invenio is a comprehensive web-based free digital library software suite originally developed at CERN. In order to improve its information retrieval and word similarity ranking capabilities, the goal of this thesis is to enhance Invenio by bridging it with modern external information retrieval systems. In the first part a comparison of various information retrieval systems such as Solr and Xapian is made. In the second part a system-independent bridge for word similarity ranking is designed and implemented. Subsequently, Solr and Xapian are integrated in Invenio via adapters to the bridge. In the third part scalability tests are performed. Finally, a future outlook is briefly discussed.

  2. 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:FinancingPetroleum Based|Department of Energy 8: DOEFinding ofofFinding5: Finding of8: Finding

  3. EA-1948: 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:FinancingPetroleum Based|Department of Energy 8: DOEFindingDraft4: Finding ofFindingFinding of

  4. Analysis of Some Methods for Reduced Rank Gaussian Process Regression

    E-Print Network [OSTI]

    Analysis of Some Methods for Reduced Rank Gaussian Process Regression Joaquin Qui~nonero-Candela1 there is strong motivation for using Gaussian Pro- cesses (GPs) due to their excellent performance in regression-effective ap- proximations to GPs, both for classification and for regression. In this paper we analyze one

  5. Alexandria Digital Library Project Spatial Search, Ranking, and

    E-Print Network [OSTI]

    Janée, Greg

    #12;Alexandria Digital Library Project 11 Proposed solution Geodetic box Defined by N/S/E/W edgesAlexandria Digital Library Project Spatial Search, Ranking, and Interoperability Greg Janée and James Frew University of California, Santa Barbara #12;Alexandria Digital Library Project 2 Background

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

    DOE Patents [OSTI]

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

    2000-01-01

    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.

  7. Rank Aggregation via Nuclear Norm Minimization David F. Gleich

    E-Print Network [OSTI]

    Lim, Lek-Heng

    ] for Supported by the Natural Sciences and Engineering Research Council of Canada and the Dept. of Energy's John@uchicago.edu ABSTRACT The process of rank aggregation is intimately intertwined with the structure of skew. Categories and Subject Descriptors H.3.5 [Information Storage and Retrieval]: On-line in- formation Services

  8. Scalable K-Means by Ranked Retrieval Andrei Broder

    E-Print Network [OSTI]

    Cortes, Corinna

    Scalable K-Means by Ranked Retrieval Andrei Broder Google 1600 Amphitheater Parkway Mountain View, CA 94043 broder @google.com Lluis Garcia-Pueyo Google 1600 Amphitheater Parkway Mountain View, CA 94043 lgpueyo@google.com Vanja Josifovski Google 1600 Amphitheater Parkway Mountain View, CA 94043

  9. 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

    2013-01-01

    67–103. 11. Christley S, Nie Q, Xie X (2009) Incorporating1 , Jian-Feng Cai 3 , Qing Nie 2,4 , Xiaohui Xie 1,4 * 1Ye G, Tang M, Cai J-F, Nie Q, Xie X (2013) Low-Rank

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

    DOE Patents [OSTI]

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

    1999-01-26

    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.

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

    DOE Patents [OSTI]

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

    1999-01-01

    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. Find Articles/Databases

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES OctoberEvanServices » Incentives & Financing »Find

  13. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES OctoberEvanServices » Incentives &Reports Find

  14. Find eBooks

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES OctoberEvanServices » Incentives &ReportseBooks Find eBooks

  15. top-ranked. The College of Business Administration (CBA) at the

    E-Print Network [OSTI]

    Grissino-Mayer, Henri D.

    -ranked. The College of Business Administration (CBA) at the University of Tennessee, Knoxville, consists

  16. EA-1611: 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:FinancingPetroleum Based| Department8,DepartmentFinal Environmental AssessmentEnergyFinding of

  17. EA-1613: 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:FinancingPetroleum Based| Department8,DepartmentFinal Environmental AssessmentEnergyFinding3:

  18. EA-1631: 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:FinancingPetroleum Based| Department8,DepartmentFinal EnvironmentalFinalMitigation1: Finding of No

  19. EA-1634: 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:FinancingPetroleum Based| Department8,DepartmentFinal EnvironmentalFinalMitigation1: Finding of

  20. EA-1635: 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:FinancingPetroleum Based| Department8,DepartmentFinal EnvironmentalFinalMitigation1: Finding of5:

  1. 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:FinancingPetroleum Based| Department8,DepartmentFinal EnvironmentalFinalMitigation1:Impact |Finding

  2. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN | Department ofFinding of No

  3. EA-1658: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN | Department ofFinding of

  4. EA-1664: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN | Department ofFinding

  5. EA-1665: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN | Department ofFindingImpact

  6. EA-1673: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN | DepartmentEA-1673: Finding

  7. EA-1679: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN |Finding of No Significant

  8. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN |Finding

  9. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN |FindingProduction

  10. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN |FindingProduction2:6:

  11. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding of No Significant

  12. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding of No Significant9:

  13. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding of No

  14. EA-1704: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding of Noof

  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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding8:

  16. EA-1728: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding8:5:7:

  17. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe, LA |Finding of No

  18. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe, LA |Finding

  19. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe, LA0: Finding of

  20. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe, LA0: Finding6:

  1. EA-1752: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe, LA0:Finding

  2. EA-1753: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe, LA0:Finding3:

  3. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe,: Finding of No

  4. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe,: Finding of9:

  5. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe,: Finding2:

  6. EA-1769: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe,: Finding2:Impact |

  7. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe,: Finding2:Impact |0:

  8. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe,: Finding2:Impact

  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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe,:Department6: Finding

  10. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault,Deliverables |5: Finding of No

  11. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault,Deliverables |5: Finding of No6:

  12. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault,Deliverables |5: Finding of

  13. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault,Deliverables |5: Finding of8:

  14. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault,DeliverablesDraftFinding of No

  15. EA-1795: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault,DeliverablesDraftFinding

  16. EA-1812: 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartment ofDepartment of0: Finding

  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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartment ofDepartmentFinding of No

  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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartment ofDepartmentFinding of

  19. 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartment ofDepartmentFinding

  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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartmentSaginaw, MI |32: 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartmentSaginaw, MI |32: Finding of No3:

  2. 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartmentSaginaw, MI |32: Finding of6:

  3. EA-1839: 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartmentSaginaw, MI |32: Finding

  4. 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartmentSaginaw, MI |32: FindingCA

  5. 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartmentSaginaw, MI |32:FinalFinding

  6. 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartmentSaginaw, MI |32:FinalFinding8:

  7. EA-2004: 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: Alternative Fuels DataEnergy Webinar:IAbout Us|ofElizabethEnergy85: Finding

  8. 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)

    1990-01-01

    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.

  9. Optical ranked-order filtering using threshold decomposition

    DOE Patents [OSTI]

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

    1987-10-09

    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.

  10. Denoising MR Spectroscopic Imaging Data with Low-Rank Approximations

    E-Print Network [OSTI]

    Do, Minh N.

    1 Denoising MR Spectroscopic Imaging Data with Low-Rank Approximations Hien M. Nguyen, Member, IEEE- temporal imaging data as well. Index Terms--MR spectroscopy, MR spectroscopic imaging, denoising, low spectroscopic (MRS) signal in (k, t)-space can be expressed as s(k, t) = (r, f)e-i2k·r e-i2ft drdf + (k, t), (1

  11. EM's Huizenga Receives Presidential Rank Award | 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:FinancingPetroleum Based|DepartmentStatementof EnergyQuality AssuranceTop1Seriesof

  12. 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.

    1992-11-10

    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.

  13. 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)

    1992-01-01

    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.

  14. EA-1976: 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: AlternativeCommunication3-E Wholesale Power Rate Schedule8:5: Finding ofFinding of No Significant

  15. EA-1440: 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:FinancingPetroleum Based| Department8,Department of2E:\BILLS\H6.PP91: Final3:38:Finding: Finding of

  16. EA-1533: 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:FinancingPetroleum Based| Department8,Department of2E:\BILLS\H6.PP91:Finding of No33: FinalFinding

  17. EA-1539: 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:FinancingPetroleum Based| Department8,Department of2E:\BILLS\H6.PP91:Finding of No33:9: Finding of

  18. EA-1562: 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:FinancingPetroleum Based| Department8,Department of2E:\BILLS\H6.PP91:Finding of No33:9:Finding of

  19. 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:FinancingPetroleum Based| Department8,Department of2E:\BILLS\H6.PP91:Finding6: Finding of No

  20. EA-1602: 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:FinancingPetroleum Based| Department8,Department of2E:\BILLS\H6.PP91:Finding6:Mitigation2: Finding

  1. EA-1605: 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:FinancingPetroleum Based| Department8,Department of2E:\BILLS\H6.PP91:Finding6:Mitigation2:Finding

  2. EA-1705: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding ofFinding of No

  3. EA-1709: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding8: Finding of No9:

  4. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding8: Finding of No9:3:

  5. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding8: Finding of5:6:

  6. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding8: Finding of5:6:8:

  7. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding8:5: Finding of No

  8. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding8:5:7: Finding of No

  9. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding8:5:7:9: Finding of

  10. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding8:5:7:9: Finding

  11. EA-1826: 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartment ofDepartmentFinding4:FinalFinding

  12. EA-1888: 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:FinancingPetroleum Based|Department of Energy 8: DOE NoticeFinal Environmental7: FindingFinding

  13. 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:FinancingPetroleum Based|Department of Energy 8: DOEFinding ofofFinding ofDepartmentFinding of

  14. EA-1922: 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:FinancingPetroleum Based|Department of Energy 8: DOEFinding ofofFinding ofDepartmentFinding

  15. 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:FinancingPetroleum Based|Department of Energy 8: DOEFinding ofofFinding5: Finding of No

  16. 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:FinancingPetroleum Based|Department of Energy 8: DOEFinding ofofFinding5:2: DraftFinding of No

  17. 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:FinancingPetroleum Based|Department of Energy 8: DOEFinding ofofFinding5:2:DraftFinal8: Finding

  18. 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:FinancingPetroleum Based|Department of Energy 8: DOEFindingDraft4: Finding ofFinding of No

  19. EA-1954: 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:FinancingPetroleum Based|Department of Energy 8: DOEFindingDraft4: FindingLine; BentonFinding

  20. EA-1991: 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:FinancingPetroleum Based|Department of Energy 8:Final78: Sand Creeknautical milesFindingFinding

  1. EA-2001: 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: Alternative Fuels DataEnergy Webinar:IAbout Us|ofElizabethEnergy85: Finding ofFinding of

  2. EA-2017: 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: Alternative Fuels DataEnergy Webinar:IAbout Us|ofElizabethEnergy85: FindingPublicFinding

  3. 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.

    1986-11-01

    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.

  4. Find Internships | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterFinancial Opportunities Financial Opportunities

  5. Discoveries far from the lamppost with matrix elements and ranking

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Debnath, Dipsikha; Gainer, James S.; Matchev, Konstantin T.

    2015-04-01

    The prevalence of null results in searches for new physics at the LHC motivates the effort to make these searches as model-independent as possible. We describe procedures for adapting the Matrix Element Method for situations where the signal hypothesis is not known a priori. We also present general and intuitive approaches for performing analyses and presenting results, which involve the flattening of background distributions using likelihood information. The first flattening method involves ranking events by background matrix element, the second involves quantile binning with respect to likelihood (and other) variables, and the third method involves reweighting histograms by the inversemore »of the background distribution.« less

  6. Discoveries far from the lamppost with matrix elements and ranking

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Debnath, Dipsikha; Gainer, James S.; Matchev, Konstantin T.

    2015-04-01

    The prevalence of null results in searches for new physics at the LHC motivates the effort to make these searches as model-independent as possible. We describe procedures for adapting the Matrix Element Method for situations where the signal hypothesis is not known a priori. We also present general and intuitive approaches for performing analyses and presenting results, which involve the flattening of background distributions using likelihood information. The first flattening method involves ranking events by background matrix element, the second involves quantile binning with respect to likelihood (and other) variables, and the third method involves reweighting histograms by the inverse of the background distribution.

  7. 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.

    1995-06-01

    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.

  8. 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

    2012-03-30

    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.

  9. 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

    2006-08-31

    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.

  10. Ranking of Chemicals Measured in Emissions from R&D Facilities

    SciTech Connect (OSTI)

    Ballinger, Marcel Y.; Duchsherer, Cheryl J.

    2011-04-01

    The Pacific Northwest National Laboratory (PNNL) operates a number of multidisciplinary laboratory research facilities for the U. S. Department of Energy and has sampled air chemical emissions from some of these facilities since 1998. The primary purpose of this sampling is to obtain data to compare estimated release fractions to those used for emissions estimates, verifying that methods used to determine compliance with air regulations and permits conservatively predict actual emissions. Sampling also identifies and quantifies emissions of air toxics to compare with compliance limits established by regulatory agencies. Hundreds of samples have been taken from four different buildings (325, 329, 331, and EMSL) over a 10-year time period. Results from initial sampling campaigns were evaluated and reported by Woodruff, Benar, and McCarthy (2000) who summarized the compliance approach used by PNNL and described sampling and analytical measurements for the first sampling campaigns. Conclusions reported in this paper were that none of the measurements of the target compounds exceeded an acceptable source impact level (ASIL) (Washington Administrative Code, Chapter 173-460) even using significant overestimation factors, and that an average release fraction calculated from the data provided reasonable validation of the factor used in compliance assessments. Subsequent analysis compared chemical signatures from the buildings (Ballinger, Duchsherer, and Metoyer 2008). Results from this analysis showed that stack emissions from three of the four buildings had relatively similar chemical signatures but the fourth building differed from the other three significantly using the developed metric. This paper presents additional analyses of the measured air chemical emissions to 1) rank the chemical compounds that present the greatest risk to a potential downstream receptor and 2) determine whether the sampling parameters and detection limits provided sufficient resolution to verify compliance at potential receptor locations. The ranking method includes chemical-specific parameters such as measured concentrations, detection limits, and regulatory limits plus building-specific parameters such as location, stack flow-rate, and distance to receptors.

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

    SciTech Connect (OSTI)

    Kloosterman, Jeff

    2012-12-31

    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.

  12. Program Distinctions U.S. News & World Report Ranking: #11 MBA Supply Chain Program, nationwide, (2015)

    E-Print Network [OSTI]

    Neimark, Alexander V.

    2015-01-01

    ) American Pharmaceuticals-Global Transportation Organization (GTO) (D. Klock) Managing the Outsourced Report Ranking (SCM/Operations Management Specialty): #20 (2013) Gartner SCM Program Ranking: #9 Management (ISM) scholarships (2011-2015) Council of Supply Chain Management Professionals (CSCMP

  13. Find Trainings | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuelsof Energy Services » ProgramPolicy andResearchDataDepartment ofofClean

  14. Low Rank Solutions of Time Dependent Stochastic PDEs Alessio Spantini1

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Low Rank Solutions of Time Dependent Stochastic PDEs Alessio Spantini1 Advisors: Lionel Mathelin2/29/2013 Spantini (MIT) Low Rank Solutions of SPDE ACDL Quals 1 / 20 #12;Outline 1 Motivation 2 General Formulation and Methodology 3 Numerical Example 4 Conclusions Spantini (MIT) Low Rank Solutions of SPDE ACDL Quals 2 / 20 #12

  15. 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

  16. 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

  17. POP: Person Re-Identification Post-Rank Optimisation Chunxiao Liu1

    E-Print Network [OSTI]

    Huang, Jianwei

    POP: Person Re-Identification Post-Rank Optimisation Chunxiao Liu1 , Chen Change Loy2 , Shaogang-rank OPtimisation (POP) method, which allows a user to quickly refine their search by either "one-shot" or a couple- of-the-art distance metric learning based ranking models, even with just "one shot" feedback

  18. 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.

    1987-04-01

    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)

  19. Ranking of sabotage/tampering avoidance technology alternatives

    SciTech Connect (OSTI)

    Andrews, W.B.; Tabatabai, A.S.; Powers, T.B.; Daling, P.M.; Fecht, B.A.; Gore, B.F.; Overcast, T.D.; Rankin, W.R.; Schreiber, R.E.; Tawil, J.J.

    1986-01-01

    Pacific Northwest Laboratory conducted a study to evaluate alternatives to the design and operation of nuclear power plants, emphasizing a reduction of their vulnerability to sabotage. Estimates of core melt accident frequency during normal operations and from sabotage/tampering events were used to rank the alternatives. Core melt frequency for normal operations was estimated using sensitivity analysis of results of probabilistic risk assessments. Core melt frequency for sabotage/tampering was estimated by developing a model based on probabilistic risk analyses, historic data, engineering judgment, and safeguards analyses of plant locations where core melt events could be initiated. Results indicate the most effective alternatives focus on large areas of the plant, increase safety system redundancy, and reduce reliance on single locations for mitigation of transients. Less effective options focus on specific areas of the plant, reduce reliance on some plant areas for safe shutdown, and focus on less vulnerable targets.

  20. Waste oils utilized as coal liquefaction solvents on differing ranks of coal

    SciTech Connect (OSTI)

    Orr, E.C.; Shi, Y.; Liang, J.

    1995-12-31

    To determine the feasibility of using different waste oils as solvent media for coals of differing rank, oil from automobile crankcases, oil derived from the vacuum pyrolysis of waste rubber tires, and oil derived from the vacuum pyrolysis of waste plastics, have been heated to 430{degrees}C with coal in tubing reactors a hydrotreated for 1 hour. Analysis of the solvents indicates the presence of heavy metals in the waste automobile oil. Analysis of the plastic oil shows the presence of iron and calcium. The analysis of the tire oil shows the presence of zinc. Conversion yields are compared and results of analysis for the presence of metals in the liquid products are reported.

  1. Ranking on Cross Domain Manifold forRanking on Cross-Domain Manifold for Sketch-based 3D model Retrieval

    E-Print Network [OSTI]

    Ohbuchi, Ryutarou

    printers,... ­ User generated. T i bl 3D h· Trimble 3D warehouse... 3D model retrieval is essentialRanking on Cross Domain Manifold forRanking on Cross-Domain Manifold for Sketch-based 3D model Retrieval Takahiko FuruyaRyutarou Ohbuchi University of Yamanashi #12;IntroductionIntroduction 3D models

  2. Ranking on Cross Domain Manifold forRanking on Cross-Domain Manifold for Sketch-based 3D model Retrieval

    E-Print Network [OSTI]

    Ohbuchi, Ryutarou

    printers,... ­ User generated. T i bl 3D h· Trimble 3D warehouse... 3D model retrieval is essential scanners, 3D printers,... ­ User generated. T i bl 3D h· Trimble 3D warehouse... 3D model retrievalRanking on Cross Domain Manifold forRanking on Cross-Domain Manifold for Sketch-based 3D model

  3. 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

    2011-04-08

    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.

  4. Finding a Job in Mathematics

    E-Print Network [OSTI]

    Below we have attempted to collect a number of links to information on finding jobs ... (Purdue); The National Security Agency is reputed to be the world's largest ...

  5. EA-1378: 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: AlternativeCommunication3-E Wholesale Power Rate Schedule Duke-3-E91: Finding ofEnergy

  6. EA-1183: 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:FinancingPetroleum Based| Department8,Department of2E:\BILLS\H6.PP91: Final3: Finding of No

  7. EA-1212: 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:FinancingPetroleum Based| Department8,Department of2E:\BILLS\H6.PP91: Final3: Finding of

  8. EA-1236: 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:FinancingPetroleum Based| Department8,Department of2E:\BILLS\H6.PP91: Final3: Finding

  9. EA-1301: 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:FinancingPetroleum Based| Department8,Department of2E:\BILLS\H6.PP91: Final3: Finding262:0:

  10. EA-1426: 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:FinancingPetroleum Based| Department8,Department of2E:\BILLS\H6.PP91: Final3:38:Finding of No

  11. EA-1499: 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:FinancingPetroleum Based| Department8,Department of2E:\BILLS\H6.PP91:Finding of No Significant

  12. EA-1535: 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:FinancingPetroleum Based| Department8,Department of2E:\BILLS\H6.PP91:Finding of No33:

  13. EA-1570: 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:FinancingPetroleum Based| Department8,Department of2E:\BILLS\H6.PP91:Finding of

  14. EA-1732: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8: Finding8:5:7:9:FinalNext

  15. EA-1740: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe, LA0: Finding of No

  16. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe, LA0: Finding of No2:

  17. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe, LA0: Finding of4:

  18. EA-1745: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe, LA0: Finding of4:5:

  19. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe, LA0: Finding6:7:

  20. EA-1750: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe, LA0:Finding of No

  1. EA-1754: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe, LA0:Finding3:4:

  2. EA-1756: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe, LA0:Finding3:4:5:6:

  3. EA-1760: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe,: Finding of9:0:

  4. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault,Deliverables |5: Finding of8:9:

  5. 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartment of Energy 6: Sempra7: Finding

  6. 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartment ofDepartment of0: Finding of No

  7. EA-1812: 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartment ofDepartment of0: FindingColorado

  8. EA-1814: 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartment ofDepartment of0:FinalFinding of

  9. EA-1815: 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartment ofDepartment of0:FinalFinding

  10. EA-1816: 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartment ofDepartment of0:FinalFinding6:

  11. 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartment ofDepartment of0:FinalFinding6:8:

  12. 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartmentSaginaw, MI |32: Finding of No3:4:

  13. 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartmentSaginaw, MI |32: Finding of6:7:

  14. EA-1845: 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartmentSaginaw, MI |32:FinalFinding of No

  15. EA-1854: 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartmentSaginaw,Energy 9:2:4: Finding

  16. EA-1859: 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:FinancingPetroleum Based|Department of Energy 8: DOE Notice of Availability andFinalFinding of

  17. 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:FinancingPetroleum Based|Department of Energy 8: DOE Notice ofFinal EnvironmentalImpactFinding

  18. EA-1882: 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:FinancingPetroleum Based|Department of Energy 8: DOE Notice ofFinal70:Draftof Public2: Finding

  19. 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:FinancingPetroleum Based|Department of Energy 8: DOE Notice ofFinal70:DraftofDraftFinalFinding

  20. 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:FinancingPetroleum Based|Department of Energy 8: DOE NoticeFinal Environmental7: Finding of No

  1. 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:FinancingPetroleum Based|Department of Energy 8: DOE NoticeFinalof EnergyFinalFinding of No

  2. 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:FinancingPetroleum Based|Department of Energy 8: DOE NoticeFinalofDepartment2:DraftFinalFinding

  3. 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:FinancingPetroleum Based|Department of Energy 8: DOEFinding of No SignificantFinalFinding of No

  4. EA-1917: 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:FinancingPetroleum Based|Department of Energy 8: DOEFinding ofofFinding of No Significant

  5. 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:FinancingPetroleum Based|Department of Energy 8: DOEFinding ofofFinding5:2:

  6. EA-1937: 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:FinancingPetroleum Based|Department of Energy 8: DOEFinding ofofFinding5:2:Draft

  7. EA-1942: 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:FinancingPetroleum Based|Department of Energy 8: DOEFindingDraft EnvironmentalFinalFinding of

  8. 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:FinancingPetroleum Based|Department of Energy 8: DOEFindingDraft4: Finding of No Significant

  9. EA-1958: 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:FinancingPetroleum Based|Department of Energy 8: DOEFindingDraft4:Final EnvironmentalFinding of

  10. EA-1969: 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:FinancingPetroleum Based|Department of Energy 8:Final Environmental Assessment8:Finding of No

  11. EA-1975: 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:FinancingPetroleum Based|Department of Energy 8:Final EnvironmentalFinalDraftFinding of No

  12. EA-1988: 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:FinancingPetroleum Based|Department of Energy 8:Final78: Sand Creeknautical milesFinding of No

  13. 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:FinancingPetroleum Based|Department of Energy 8:Final78: SandDepartment of2: FinalFinalFinding

  14. Find Financing for Energy Efficiency Upgrades | 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:FinancingPetroleum12, 2015Executive Order14,EnergyFinancing and Investing in TribalFind

  15. Finding & Sharing Information about Energy Efficiency | 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:FinancingPetroleum12, 2015Executive Order14,EnergyFinancing and Investing inEnergy Finding

  16. 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: Alternative Fuelsof Energy Services » ProgramPolicy andResearchDataDepartmentFindings of No

  17. EA-1985: 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: Alternative Fuels DataEnergy Webinar:IAbout Us|ofElizabethEnergy85: Finding of No

  18. IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 21, NO. 2, FEBRUARY 2013 291 Classification and Ranking Approaches to

    E-Print Network [OSTI]

    Alpaydýn, Ethem

    this both as a classification and a ranking problem and employ the perceptron, the margin infused relaxed, language modeling, ranking per- ceptron, ranking support vector machine (SVM), margin infused relaxed

  19. FINDING BALANCE: ENHANCING PHYSICAL, EMOTIONAL,

    E-Print Network [OSTI]

    FINDING BALANCE: ENHANCING PHYSICAL, EMOTIONAL, AND SOCIAL WELL-BEING 3rd Annual Conference for psychologists requesting CE credits TOPICS INCLUDE: How finding "balance" can support our physical, emotional, and social well-being Balance exercises and physical fitness to prevent injuries and cognitive decline

  20. Find a Job | Careers | NREL

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you not find whatGasEnergyfeature photoTheory ChalkboardFiberFindFind a

  1. RESEARCH GIVES EDGE TO FINDING

    E-Print Network [OSTI]

    Angenent, Lars T.

    home revisited. COVER STORY Séamus Davis and the path to faculty renewal BY BILL STEELE A look at whatSÉAMUS DAVIS AND HIS FANTASTIC MACHINE RESEARCH GIVES EDGE TO FINDING NEXT GENERATION OF FACULTY 14

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

    SciTech Connect (OSTI)

    Not Available

    1990-08-01

    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.

  3. CO2 SEQUESTRATION POTENTIAL OF TEXAS LOW-RANK COALS

    SciTech Connect (OSTI)

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

    2005-05-01

    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.

  4. 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

    2008-11-15

    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.

  5. Conversion of Low-Rank Wyoming Coals into Gasoline by Direct...

    Office of Scientific and Technical Information (OSTI)

    of Low-Rank Wyoming Coals into Gasoline by Direct Liquefaction Polyakov, Oleg 01 COAL, LIGNITE, AND PEAT Under the cooperative agreement program of DOE and funding from...

  6. IR ranking proposal and new beam parameter sets for the LHC upgrade the view of HHH

    E-Print Network [OSTI]

    Scandale, Walter

    2007-01-01

    We propose a ranking for the interaction-region (IR) optics based on the presentations and results from the first two days of the LUMI’06 workshop.

  7. Gauge invariant Lagrangian for non-Abelian tensor gauge fields of fourth rank

    E-Print Network [OSTI]

    G. Savvidy; T. Tsukioka

    2005-12-31

    Using generalized field strength tensors for non-Abelian tensor gauge fields one can explicitly construct all possible Lorentz invariant quadratic forms for rank-4 non-Abelian tensor gauge fields and demonstrate that there exist only two linear combinations of them which form a gauge invariant Lagrangian. Together with the previous construction of independent gauge invariant forms for rank-2 and rank-3 tensor gauge fields this construction proves the uniqueness of early proposed general Lagrangian up to rank-4 tensor fields. Expression for the coefficients of the general Lagrangian is presented in a compact form.

  8. RANKING NATIONAL FOOTBALL LEAGUE TEAMS USING GOOGLE'S ANJELA Y. GOVAN AND CARL D. MEYER

    E-Print Network [OSTI]

    H is H = 0 0 1/3 1/3 1/3 0 0 0 0 0 0 1 0 0 0 1/2 0 1/2 0 0 1/2 0 0 1/2 0 2.3. The rank they are displayed as the result of a web search. In this work we expand Google's idea of webpage ranking to ranking the query relevant web sites and displays them according to their predetermined rank. In order to calculate

  9. CO2 SEQUESTRATION POTENTIAL OF TEXAS LOW-RANK COALS

    SciTech Connect (OSTI)

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

    2004-07-01

    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.

  10. New Accessibility Observatory to provide annual rankings for cities

    E-Print Network [OSTI]

    Weiblen, George D

    DIES Accelerating the pace of transportation innovation NOvember 2013 Catalystcts.umn.edu Major American cities get--in specific locations and compare that with the cost of managing blowing and drifting snow on the roadway safety, improved visibility, fewer snow plow trips, lower salt usage, and fewer traffic slowdowns

  11. Writing audit findings: Be reasonable!

    SciTech Connect (OSTI)

    Girvin, N.W.

    1992-05-01

    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.

  12. Writing audit findings: Be reasonable

    SciTech Connect (OSTI)

    Girvin, N.W.

    1992-05-01

    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.

  13. Finding CDs with Library Search

    E-Print Network [OSTI]

    Chrispell, John

    from the menu, enter your search terms, and click the green magnifying glass to search. Click details your search terms, limit to Sound Recordings, then click Search. Click the title to see what the tracksFinding CDs with Library Search BEGIN YOUR SEARCH AT http://library.tulane.edu Select Audio & Video

  14. Deputy Administrator Greg Delwiche receives Presidential Rank Award

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you not find what you were lookingAbout this site

  15. Time and Energy Optimal List Ranking Algorithms on the k-Channel Broadcast

    E-Print Network [OSTI]

    Nakano, Koji

    Time and Energy Optimal List Ranking Algorithms on the k-Channel Broadcast Communication Model Koji- nels. The main contribution of this paper is to present time and energy optimal list ranking algorithms Nakano School of Information Science Japan Advanced Insitute of Science and Technology Tatsunokuchi

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

    E-Print Network [OSTI]

    Qiu, Robert Caiming

    Necessary and Sufficient Conditions for Success of the Nuclear Norm Heuristic for Rank Minimization that yield exact solutions. A popular heuristic algorithm replaces the rank function with the nuclear norm of this heuristic to non-symmetric matrices introduced by Fazel in [8] minimizes the nuclear norm, *Center

  17. Biological Question Answering with Syntactic and Semantic Feature Matching an Improved Mean Reciprocal Ranking Measurement

    E-Print Network [OSTI]

    Chu, Hao-hua

    . An improved mean reciprocal rank (MRR) measurement, mean average reciprocal rank (MARR), and an efficient formula to reduce the computational complexity of the MARR are proposed to address the same score problem. With our syntactic and semantic features, our system achieves a Top-1 MARR of 74.11% and Top-5 MARR of 76

  18. Mixed Membership Models for Rank Data: Investigating Structure in Irish Voting Data

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    the population. Thus, mixed membership models provide a method for model-based soft clustering of data. The mixed21 Mixed Membership Models for Rank Data: Investigating Structure in Irish Voting Data Isobel ........................................................................ 444 21.3.1 The Plackett-Luce Model for Rank Data ............................................ 445 21

  19. Low-rank coal research: Volume 1, Control technology, liquefaction, and gasification: Final report

    SciTech Connect (OSTI)

    Weber, G.F.; Collings, M.E.; Schelkoph, G.L.; Steadman, E.N.; Moretti, C.J.; Henke, K.R.; Rindt, J.R.; Hetland, M.D.; Knudson, C.L.; Willson, W.G.

    1987-04-01

    Volume I contains articles on SO/sub x//NO/sub x/ control, waste management, low-rank direct liquefaction, hydrogen production from low-rank coals, and advanced wastewater treatment. These articles have been entered individually into EDB and ERA. (LTN)

  20. The Effect of Ad Rank on the Performance of Keyword Advertising Campaigns

    E-Print Network [OSTI]

    Jansen, James

    The Effect of Ad Rank on the Performance of Keyword Advertising Campaigns Bernard J. Jansen and Zhe on the performance of keyword advertising cam- paigns. We examined a large-scale data file comprised of nearly 7 tests to examine the effect of ad rank on critical keyword advertising metrics, including clicks, cost

  1. Unit Computation in Purely Cubic Function Fields of Unit Rank 1

    E-Print Network [OSTI]

    Scheidler, Renate

    Unit Computation in Purely Cubic Function Fields of Unit Rank 1 Renate Scheidler .1 and Andreas for computing the fundamen- tal unit and regulator of a purely cubic congruence function field of unit rank 1 cubic lattice which is used for calculating the fundamental unit and regulator of a purely cubic number

  2. A PECULIARITY OF THE WILCOXON-MANN-WHITNEY RANK-SUM TEST

    E-Print Network [OSTI]

    A PECULIARITY OF THE WILCOXON-MANN-WHITNEY RANK-SUM TEST Scotia Canada B3H 3C3 Keywords: intransitivity, rank-sum test, Behrens-Mann-Whitney test is a test of relative location whenever the two distributions are symmetric. By con- trast

  3. Fast matrix algebra for dense matrices with rank-deficient off-diagonal blocks

    E-Print Network [OSTI]

    Martinsson, Gunnar

    CHAPTER 2 Fast matrix algebra for dense matrices with rank-deficient off-diagonal blocks Chapter whose off diagonal blocks are of low (numerical) rank. The primary focus is on matrix inversion, but algorithms for matrix-vector and matrix-matrix multiplication are also described. 2.1. Introduction All

  4. Distributing medicine using PageRank Department of Mathematics and Computer Science

    E-Print Network [OSTI]

    Goddard, Wayne

    Background Approach Results Distributing medicine using PageRank Paul Horn Department October 7, 2010 Horn Distributing medicine using PageRank #12;Background Approach Results The Problem Disease breaks out! We need to stop it before it becomes an epidemic! We want to distribute medicine so

  5. RankSQL: Query Algebra and Optimization for Relational Top-k Queries

    E-Print Network [OSTI]

    Ilyas, Ihab Francis

    RankSQL: Query Algebra and Optimization for Relational Top-k Queries Chengkai Li1 Kevin Chen systems (RDBMS), by extending relational algebra and query optimization. Previously, top-k query and principled framework to support efficient evaluations of ranking (top-k) queries in relational database

  6. CO2 SEQUESTRATION POTENTIAL OF TEXAS LOW-RANK COALS

    SciTech Connect (OSTI)

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

    2004-11-01

    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.

  7. Threat to the point: improving the value of comparative extinction risk analysis for conservation action

    E-Print Network [OSTI]

    Davidson, Ana

    Threat to the point: improving the value of comparative extinction risk analysis for conservation, QLD 4072, Australia Abstract Comparative extinction risk analysis is a common approach for assessing application (species ranking). We conclude that the use of threats in comparative extinction risk analysis

  8. ARM - Research Highlights: Notable Findings

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Comments?govInstrumentsnoaacrnBarrow, Alaska OutreachCalendarPress ReleasesHighlightsNotable Research Findings

  9. Impact of cost constraints on aesthetic ranking following Target Value Design exercises 

    E-Print Network [OSTI]

    Rybkowski, Zofia K.; Munankami, Manish; Gottipati, Udaya; Lavy, Sarel; Ferná ndez-Solis, Jose

    2011-07-13

    stream_source_info RYBKOWSKI et al._Impact of cost constraints on aesthetic ranking following TVD exercises.pdf.txt stream_content_type text/plain stream_size 23905 Content-Encoding UTF-8 stream_name RYBKOWSKI et al._Impact of cost... constraints on aesthetic ranking following TVD exercises.pdf.txt Content-Type text/plain; charset=UTF-8 IMPACT OF COST CONSTRAINTS ON AESTHETIC RANKING FOLLOWING TARGET VALUE DESIGN EXERCISES Zofia K. Rybkowski1, Manish Munankami2, Udaya...

  10. Equation of motion for incompressible mixed fluid driven by evaporation and its application to online rankings

    E-Print Network [OSTI]

    Kumiko Hattori; Tetsuya Hattori

    2008-05-17

    We give a unique classical solution to initial value problem for a system of partial differential equations for the densities of components of one dimensional incompressible fluid mixture driven by evaporation. Motivated by the known fact that the solution appears as an infinite particle limit of stochastic ranking processes, which is a simple stochastic model of time evolutions of e.g., Amazon Sales Ranks, we collected data from the web and performed statistical fits to our formula. The results suggest that the fluid equations and solutions may have an application in the analysis of online rankings.

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

    SciTech Connect (OSTI)

    Wu, Hau-Tieng

    2014-08-07

    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.

  12. DRIMust: a web server for discovering rank imbalanced motifs using suffix trees

    E-Print Network [OSTI]

    Mandel-Gutfreund, Yael

    DRIMust: a web server for discovering rank imbalanced motifs using suffix trees Limor Leibovich1 present a new web application, named DRIMust, freely ac- cessible through the website http

  13. reduction of topological stable rank in inductive limits of c*-algebras

    E-Print Network [OSTI]

    2004-03-23

    finite direct sums of C*-algebras of continuous functions from com- ..... [II] G. A. Elliott, On the classification of C*-algebras of real rank zero, preprint. [12] D. E. ...

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

    E-Print Network [OSTI]

    Dake, Luthuli Edem

    2000-01-01

    , resolution, area, dynamic range and supply voltage performance. Designs are also offered for a variable rank of filter, which can be programmed at high speeds by a binary word....

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

    SciTech Connect (OSTI)

    Not Available

    1984-08-01

    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)

  16. A Probabilistic Lexical Model for Ranking Textual Inferences Eyal Shnarch and Ido Dagan

    E-Print Network [OSTI]

    Goldberger, Jacob

    of cell phones may be harmful for youngsters. This can be done by rank- ing the corpus passages a claim such as cellular radiation is dangerous for children, or to learn more about it from a newswire

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

    E-Print Network [OSTI]

    Wang, Zhongmiao

    2009-05-15

    A “Value-Added” definition of school effectiveness calls for the evaluation of schools based on the unique contribution of schools to individual student academic growth. The estimates of value-added school effectiveness are usually used for ranking...

  18. ALL p-LOCAL FINITE GROUPS OF RANK TWO FOR ODD PRIME p ...

    E-Print Network [OSTI]

    ... S = 71+2+and all the rank two elementary abelian subgroups are F-rad* *ical, ..... subgroup of B(3, r; fi, fl, ffi), (B* *(3, r; fi, fl, ffi)), is = .

  19. Summary Of Findings Peer Review of the FY2001 GPRA Assumptions

    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:Financing ToolInternational Affairs, Before the CommitteeYears 2003 - 2008 Findings - Peer Review

  20. Summary Of Findings Per Review of the FY '03 GPRA Assumptions

    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:Financing ToolInternational Affairs, Before the CommitteeYears 2003 - 2008 Findings - Peer

  1. 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:FinancingPetroleum Based| Department8,DepartmentFinal EnvironmentalFinalMitigation1:ImpactFinding

  2. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe,: Finding

  3. EA-1849-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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartmentSaginaw, MIEnergyFinding of No

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

    SciTech Connect (OSTI)

    Not Available

    1993-02-01

    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.

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

    SciTech Connect (OSTI)

    Not Available

    1980-11-01

    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.

  6. 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

  7. THE STRUCTURE OF COHOMOLOGY OF LINE BUNDLES ON THE FLAG VARIETIES FOR SOME GROUPS OF RANK 2

    E-Print Network [OSTI]

    Lin, Zongzhu

    ON THE FLAG VARIETIES FOR SOME GROUPS OF RANK 2 MAY, 1989 ZONGZHU LIN, B.S., HARBIN SHIPBUILDING ENGINEERING

  8. Regional Transmission Projects: Finding Solutions

    SciTech Connect (OSTI)

    The Keystone Center

    2005-06-15

    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

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

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

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

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

    SciTech Connect (OSTI)

    Droppo, James G.

    2003-05-01

    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.

  11. EA-1440-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:FinancingPetroleum Based| Department8,Department of2E:\BILLS\H6.PP91: Final3:38:Finding ofFinding

  12. Chemical structure and properties of low-rank coals treated by hydrothermal process

    SciTech Connect (OSTI)

    Ohki, A.; Xie, X.F.; Nakajima, Tsunenori; Maeda, Shigeru [Kagoshima Univ., Korimoto, Kagoshima (Japan). Dept. of Applied Chemistry and Chemical Engineering

    1998-12-31

    Several methods for upgrading low-rank coals, in which the hygroscopicity is irreversibly reduced into a level for high-rank coals, have been developed. A hydrothermal treatment of coal, such as hot water drying (HWD), is one of the most promising upgrading methods. The HWD method involves a treatment of low-rank coals under high temperature (300-350 C) and high pressure (80-180 kg/cm{sup 2}). Two low-rank coals, Loy Yang coal and Yallourn coal were hydrothermally treated at 150--350 C. The chemical structure and properties of these treated coals have been examined. The analysis of coal includes hygroscopicity, elemental analysis, the content of oxygenic functional groups measured by chemical analysis, FTIR analysis, CP/MAS {sup 13}C NMR analysis, specific surface area, maceral composition, and vitrinite reflectance. When the low-rank coals are hydrothermally treated, the hygroscopicity of coal remarkably decreases. The content of carboxyl group in coal greatly decreases as heat treatment temperature (HTT) is raised. The difference in carboxyl group content in the 350 C-treated coal between from the chemical analysis and from {sup 13}C NMR and FTIR analyses is explained. From these results, the change in chemical structure and properties of coal during the hydrothermal treatment is discussed.

  13. 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:Financing Tool Fits the Bill Financing Tool Fits the Bill SomeofMathematicianThingsFloating Rateand

  14. Intrinsic Classes in the Union of European Football Associations Soccer Team Ranking

    E-Print Network [OSTI]

    Ausloos, Marcel

    2014-01-01

    A strong structural regularity of classes is found in soccer teams ranked by the Union of European Football Associations (UEFA) for the time interval 2009-2014. It concerns 424 to 453 teams according to the 5 competition seasons. The analysis is based on the rank-size theory considerations, the size being the UEFA coefficient at the end of a season. Three classes emerge: (i) the few "top" teams, (ii) 300 teams, (iii) the rest of the involved teams (about 150) in the tail of the distribution. There are marked empirical laws describing each class. A 3-parameter Lavalette function is used to describe the concave curving as the rank increases, and to distinguish the the tail from the central behavior.

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

    SciTech Connect (OSTI)

    Not Available

    1980-11-01

    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.

  16. 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 ...

  17. Mechanical code comparator

    DOE Patents [OSTI]

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

    2002-01-01

    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.

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

    SciTech Connect (OSTI)

    Newcombe, R.J.; McKelvey, D.G. ); Ruether, J.A. )

    1990-09-01

    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.

  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

    2014-11-20

    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)

    2001-01-01

    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. MFR PAPER 1230 Finding Fish With Satellites

    E-Print Network [OSTI]

    sensors, fishing vessels , spotter pilots, research vessels, and offshore oil platforms were used Investigation? A. It is an attempt to find out if satellites can help fishermen find fish. Our assumption

  2. Disentangling the effects of forage, social rank, and risk on movement autocorrelation of elephants using

    E-Print Network [OSTI]

    Getz, Wayne M.

    Disentangling the effects of forage, social rank, and risk on movement autocorrelation of elephants random movements are more common when ecological conditions are good. Periodograms of socially dominant to thirst, hunger, fear, or reproductive drive--can be inferred by referencing points on its movement path

  3. Fourier sparsity, spectral norm, and the Log-rank conjecture Hing Yin Tsang*

    E-Print Network [OSTI]

    Xie, Ning

    Fourier sparsity, spectral norm, and the Log-rank conjecture Hing Yin Tsang* hytsang@cse.cuhk.edu.hk Abstract--We study Boolean functions with sparse Fourier spectrum or small spectral norm, and show for such functions is exactly the Fourier sparsity of f. Let d = deg2(f) be the F2-degree of f and DCC (f ) stand

  4. A Characterization of the Set of Species Trees that Produce Anomalous Ranked Gene Trees

    E-Print Network [OSTI]

    Rosenberg, Noah

    A Characterization of the Set of Species Trees that Produce Anomalous Ranked Gene Trees James H characterize the set of unranked species tree topologies that give rise to ARGTs, showing that this set generalizes beyond the specific five-taxon case. Here, we perform a complete characterization of the set

  5. 2006 Nature Publishing Group Rank-related maternal effects of androgens on

    E-Print Network [OSTI]

    French, Jeffrey A.

    to high concentrations of androgens during fetal life. A number of sexually dimorphic behaviours exhibited shown to occur in birds. They also suggest an organizational mechanism for the development of female bird (for example, social rank and aggressive interactions) can influence the amount of androgen

  6. Improving System Energy Efficiency with Memory Rank Subsetting JUNG HO AHN, Seoul National University

    E-Print Network [OSTI]

    Kozyrakis, Christos

    4 Improving System Energy Efficiency with Memory Rank Subsetting JUNG HO AHN, Seoul National interfaces are not well tailored to achieve high energy efficiency and performance in modern chip-multiprocessor-based computer systems. Their suboptimal performance and energy inefficiency can have a significant impact

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

    E-Print Network [OSTI]

    Caverlee, James

    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

  8. Web Service Discovery via Semantic Association Ranking and Hyperclique Pattern Discovery

    E-Print Network [OSTI]

    Xiong, Hui

    Web Service Discovery via Semantic Association Ranking and Hyperclique Pattern Discovery Aabhas V.bornhoevd@sap.com Abstract Semantic Web technology is a promising first step for automated web service discovery. Most current approaches for web service discovery cater to semantic web services, i.e., web services that have

  9. North Carolina Coastal Plain savannas rank among the most species rich communities in the

    E-Print Network [OSTI]

    Krings, Alexander

    North Carolina Coastal Plain savannas rank among the most species rich communities in the world floristic inventory of a North Carolina savanna: Big Savannah (Pender Co.) (Shelingoski et al. 2005 & Shunk (1928), AK thanks: Donna Wright (North Carolina State University) for thoughtful discussions

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

    E-Print Network [OSTI]

    Fazel, Maryam

    Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization Benjamin theory and practice. A recent heuristic introduced in [9] minimizes the nuclear norm over the affine subset. For an m × n matrix X, the nuclear norm is equal to the sum of the singular values of X X := r i

  11. College of Engineering: Open Rank Faculty Department of Nuclear, Plasma, and Radiological Engineering

    E-Print Network [OSTI]

    Lee, Tonghun

    College of Engineering: Open Rank Faculty Department of Nuclear, Plasma, and Radiological Engineering University of Illinois at Urbana-Champaign The Department of Nuclear, Plasma, and Radiological. Well-qualified candidates with background in areas related to nuclear applications including nuclear

  12. Why HKUST Engineering? World Rankings of HKUST School of Engineering 4

    E-Print Network [OSTI]

    #12;Why HKUST Engineering? World Rankings of HKUST School of Engineering 4 World-Class Professors 5 for Engineering Education Innovation (E˛I) 8 Center for Global & Community Engagement (GCE) 9 Center for Industry Engagement & Internship (IEI) 9 Dynamic Programs New "Engineering PLUS" Education with Increased Flexibility

  13. Why HKUST Engineering? World Rankings of HKUST & School of Engineering 4

    E-Print Network [OSTI]

    1 #12;2 Content Why HKUST Engineering? World Rankings of HKUST & School of Engineering 4 World Learning Experience E˛I Center for Engineering Education Innovation (E˛I) 10 GCE Center for Global "" New "Engineering PLUS" Education with Increased Flexibility 13 Programs Major Programs 16

  14. Handling parameter ranking, equalities and bounds in adaptive control of blending

    E-Print Network [OSTI]

    be formulated in various applications where non- reactive components are blended and linearly impactHandling parameter ranking, equalities and bounds in adaptive control of blending systems Mériam in the production of com- mercial fuels by blending. The control problem under consideration is a multi

  15. Impact Of Ranking Of Organic Search Results On The Incrementality Of Search Ads

    E-Print Network [OSTI]

    Cortes, Corinna

    Impact Of Ranking Of Organic Search Results On The Incrementality Of Search Ads David X. Chan Results On The Incrementality Of Search Ads Abstract 1 Introduction 2 Methodology 3 MetaAnalysis Results 4 that on average 89% of the visits to the advertiser's site from search ad

  16. RAProp: Ranking Tweets by Exploiting the Tweet/User/Web Ecosystem Srijith Ravikumar

    E-Print Network [OSTI]

    Kambhampati, Subbarao

    additional information from the Twit- ter ecosystem that consists of users, tweets, and the web pages that tweets link to. This information is obtained by modeling the Twitter ecosystem as a three-layer graphRAProp: Ranking Tweets by Exploiting the Tweet/User/Web Ecosystem by Srijith Ravikumar A Thesis

  17. 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.

    1987-04-01

    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)

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

    E-Print Network [OSTI]

    Mirkin, Boris

    Building Fuzzy Thematic Clusters and Mapping Them to Higher Ranks in a Taxonomy Boris Mirkin1 in a University department by mapping them to a related hierarchical taxonomy such as Classification of Com- puter of the organization and present them as the compo- nents fuzzy membership profiles over the subjects of the taxonomy

  19. Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation

    E-Print Network [OSTI]

    Jaillet, Patrick

    Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov comes at a cost of poor scalability in the data size. To improve its scalability, this paper presents with larger data). As a result, our LMA method can trade off between the size of the support set and the or

  20. Multiple-Food Recognition Considering Co-occurrence Employing Manifold Ranking

    E-Print Network [OSTI]

    Yanai, Keiji

    Multiple-Food Recognition Considering Co-occurrence Employing Manifold Ranking Yuji Matsuda-y@mm.cs.uec.ac.jp, yanai@cs.uec.ac.jp Abstract In this paper, we propose a method to recog- nize food images which include multiple food items considering co-occurrence statistics of food items. The proposed method employs

  1. MODULI SPACES OF RANK 2 ACM BUNDLES ON PRIME FANO THREEFOLDS

    E-Print Network [OSTI]

    Faenzi, Daniele

    MODULI SPACES OF RANK 2 ACM BUNDLES ON PRIME FANO THREEFOLDS MARIA CHIARA BRAMBILLA AND DANIELE arithmetically Cohen-Macaulay (ACM), because they correspond to maximal Cohen- Macaulay modules over the coordinate ring of X. It is known that an ACM bundle must be a direct sum of line bundles if X = Pn (see [39

  2. BrowseRank: Letting Web Users Vote for Page Importance Yuting Liu*

    E-Print Network [OSTI]

    Ma, Zhi-Ming

    BrowseRank: Letting Web Users Vote for Page Importance Yuting Liu* School of Science Beijing is to exploit the link graph of the web and to build a model based on that graph. For instance, Page added and deleted by web con- tent creators. In this paper, we propose computing page impor- tance

  3. Reduced fusion systems over 2-groups of sectional rank at most 4

    E-Print Network [OSTI]

    Oliver, Bob

    Reduced fusion systems over 2-groups of sectional rank at most 4 Bob Oliver Author address on fusion systems 5 1.1. Essential subgroups in fusion systems 7 1.2. Reduced fusion systems 8 1.2. Essential pairs of type (II) 29 3.3. Essential subgroups of index 2 in S 47 Chapter 4. Fusion systems over 2

  4. Generalized Multivariate Rank Type Test Statistics via Spatial U-Quantiles

    E-Print Network [OSTI]

    Serfling, Robert

    Generalized Multivariate Rank Type Test Statistics via Spatial U-Quantiles Weihua Zhou1 University for location have been extended over the years to the multivariate setting, including recent robust rotation invariant "spatial" versions. Here we introduce a broad class of rotation invariant multivariate spatial

  5. Best Friends: Alliances, Friend Ranking, and the MySpace Social Network

    E-Print Network [OSTI]

    Liben-Nowell, David

    Best Friends: Alliances, Friend Ranking, and the MySpace Social Network Peter DeScioli Economic friendship is caused by cognitive systems that function to create alliances for potential disputes. Because an ally's support can be undermined by a stronger outside relationship, the alliance model predicts

  6. Statistical Monitoring of Time-to-Failure Data Using Rank Tests

    E-Print Network [OSTI]

    Zhou, Shiyu

    statistics, we derived the generic formulae for the operating characteristic functions of the control chartStatistical Monitoring of Time-to-Failure Data Using Rank Tests Zhiguo Li,a * Shiyu Zhou,b Crispian of the fast development of information technology, the critical failure events and maintenance events

  7. RESQ: Rank-Energy Selective Query Forwarding for Distributed Search Systems

    E-Print Network [OSTI]

    decisions. Using a large-scale query log and publicly-available energy price time series, we demonstrate ranking query results and savings in temporally- and spatially-varying energy prices. Categories Deviation = $52.78/mWh Average = $111.87/mWh Figure 1: Energy price temporal and spatial varia- tion: (top

  8. Algebras of relations of various ranks, some current trends and applications

    E-Print Network [OSTI]

    Andréka, Hajnal

    logic is the world of Boole- an algebras (BA's for short). BA theory was immensely successful in helpingAlgebras of relations of various ranks, some current trends and applications Hajnal Andr´eka, Judit structuralist approach to logic: relation algebras, cylindric algebras, polyadic algebras, and Boolean algebras

  9. Adopting Web 2.0 for Instruction: The Effects of Faculty Rank and Employment Status

    E-Print Network [OSTI]

    Yu, Alex

    (employment rank and %FTE) on their interest in learning about Web 2.0 technologies (blogs and podcasts Learning Technologies Institute Arizona State University 2009, April Paper presented at the Annual meeting of the American Educational Research Association, San Diego, CA. RUNNING HEAD: Technology adoption and employment

  10. Improved Working Set Selection for LaRank Matthias Tuma1,

    E-Print Network [OSTI]

    Igel, Christian

    , with intermittent reprocess optimization steps on examples currently included. Working set selection for one reprocess step chooses the most violating pair among variables corresponding to a random ex- ample. WeRank's building blocks is the random selection of examples for reprocess-type optimiza- tion steps. Random example

  11. 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

  12. Comparative Ethnic Studies Certificate

    E-Print Network [OSTI]

    Saldin, Dilano

    , grassroots social movements, and popular cultures shape social identities. The certificate program is open, and/or service learning, students in Comparative Ethnic Studies analyze the social processes by which: Asian, Arab, Euro- American and Latino Identity. 3 cr. Modern and contemporary social and cultural

  13. Comparative Ethnic Studies

    E-Print Network [OSTI]

    Collins, Gary S.

    : Foundations of Comparative Ethnic Studies CES 209: Hip Hop Around the Globe CES 260: Race and Racism in US and Sexuality CES 301: Race and Global Inequality CES 446: Racism and Anti-Racism in Global Context CES 491: Theories of Racism and Ethnic Conflicts W ST 201: Critical Frameworks in Gender Studies Math Requirement

  14. Math 453 Abstract Algebra sample 1. Find gcd(123,745) 2. Find the ...

    E-Print Network [OSTI]

    2015-09-18

    Math 453 Abstract Algebra sample. 1. Find gcd(123,745). 2. Find the inverse of 23 in Z71. 3. Find the last two digits of 15100. 4. Prove that the set of all 2 × 2 ...

  15. Battelle Columbus Laboratories Director's Final Findings and...

    Office of Environmental Management (EM)

    Name Battelle Columbus Laboratories Director's Final Findings and Orders, October 4, 1995 State Ohio Agreement Type Federal Facility Agreement Legal Driver(s) FFCAct Scope...

  16. Portsmouth Gaseous Diffusion Plant Director's Final Findings...

    Office of Environmental Management (EM)

    Portsmouth Gaseous Diffusion Plant Director's Final Findings and Orders, October 4, 1995 State Ohio Agreement Type Federal Facility Agreement Legal Driver(s) FFCAct Scope Summary...

  17. Ferroelectric optical image comparator

    DOE Patents [OSTI]

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

    1993-11-30

    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.

  18. Comparative systems biology across an evolutionary gradient within...

    Office of Scientific and Technical Information (OSTI)

    effect of ecology from the effect of evolutionary divergence and rank the different cellular functions in terms of their rates of evolution. Our ranking also revealed that...

  19. 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)

    1994-01-01

    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.

  20. Mini-Rank: Adaptive DRAM Architecture for Improving Memory Power Efficiency Hongzhong Zheng

    E-Print Network [OSTI]

    Zhang, Zhao

    mini-rank for DDRx (DDR/DDR2/DDR3) DRAMs, which uses a small bridge chip on each DRAM DIMM to break. Conventional DDRx (DDR/DDR2/DDR3) memories generally consume less power than the FB-DIMM. However, their power besides the use of double data transfer. A DDR3-1066 memory bus, for example, runs at 533MHz and may

  1. NETL's New Supercomputer Ranks Among the World's Top 100 | 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 RankADVANCED MANUFACTURING OFFICESpecialAPPENDIX FOrigin ofAllen Lichvar FE GPP ProjectsofDepartment

  2. LOW-COMPLEXITY MULTIUSER DETECTION AND REDUCED-RANK WIENER FILTERS FOR ULTRA-WIDEBAND MULTIPLE ACCESS

    E-Print Network [OSTI]

    Tian, Zhi "Gerry"

    LOW-COMPLEXITY MULTIUSER DETECTION AND REDUCED-RANK WIENER FILTERS FOR ULTRA-WIDEBAND MULTIPLE the large user capacity planned for ultra- wideband (UWB) systems motivates multiuser detection (MUD of chip-rate samples. This model enables low-complexity MUD, of which we ex- amine a reduced-rank Wiener

  3. EA-1815: 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartment ofDepartment of0:FinalFinding of|

  4. 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:FinancingPetroleum Based|Department of Energy 8: DOE Notice of Availability andFinalFinding|

  5. EECBG Success Story: Finding Six-Figure ROI from Energy Efficiency |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based|Department of EnergyDepartment of Energy Finding Six-Figure ROI

  6. Finding Six-Figure ROI From Energy Efficiency | 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:FinancingPetroleum12, 2015Executive Order14,EnergyFinancing and InvestingThree-ComponentFinding

  7. Extraction of iron and calcium from low rank coal by supercritical carbon dioxide with entrainers

    SciTech Connect (OSTI)

    Iwai, Y.; Okamoto, N.; Ohta, S.; Arai, Y.; Sakanishi, K. [Kyushu University, Fukuoka (Japan). Dept. of Chemical Engineering

    2007-03-15

    Iron and calcium were extracted from low rank coal with supercritical carbon dioxide and methanol, ethanol, acetic acid, acetyl acetone, ethanol and acetic acid, or acetyl acetone and water entrainers at 313.2 K and 15.0 MPa. The low rank coal used in this study was Berau coal from Indonesia. The addition of methanol, ethanol, or acetic acid entrainers in supercritical carbon dioxide showed very limited effect on enhancement of the recovery rates of Fe. The recovery rates of Fe from dried coal by supercritical carbon dioxide with acetyl acetone were low however, the addition of acetyl acetone with water in supercritical carbon dioxide remarkably enhanced the recovery rates of Fe. Water seems to play an important role in extracting Fe from coal with supercritical carbon dioxide and acetyl acetone. On the other hand, the extraction rates of Ca with supercritical carbon dioxide and water, methanol, ethanol, and acetyl acetone entrainers were very low. The addition of acetic acid with or without water in supercritical carbon dioxide slightly enhanced the recovery rates of Ca. The addition of acetic acid with ethanol in supercritical carbon dioxide remarkably enhanced the recovery rates of Ca. The effect of carbon dioxide flow rate and coal particle size on the recovery rates of Fe were examined. The recovery rate of Fe increased with increasing carbon dioxide flow rate and with decreasing particle size of the low rank coal.

  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.

    1986-04-01

    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. Low-rank coal drying technologies current status and new developments

    SciTech Connect (OSTI)

    Karthikeyan, M.; Wu, Z.H.; Mujumdar, A.S. [National University of Singapore, Singapore (Singapore). Dept. of Civil Engineering

    2009-07-01

    Despite their vast reserves, low-rank coals are considered undesirable because their high moisture content entails high transportation costs, potential safety hazards in transportation and storage, and the low thermal efficiency obtained in combustion of such coals. Their high moisture content, greater tendency to combust spontaneously, high degree of weathering, and the dusting characteristics restrict widespread use of such coals. The price of coal sold to utilities depends upon the heating value of the coal. Thus, removal of moisture from low-rank coals (LRC) is an important operation. Furthermore, LRC can be used cost effectively for pyrolysis, gasification, and liquefaction processes. This article provides an overview the diverse processes both those that utilize conventional drying technologies and those that are not yet commercialized and hence in need of RD. Relative merits and limitations of the various technologies and the current state of their development are presented. Drying characteristics of low-rank coal as well as factors affecting drying characteristics of coal samples are also discussed.

  10. G:\\envplanning\\LRDP\\Final EIR\\findings_NODs\\LRDP Findings.doc 11/24/03 CERTIFICATION OF THE FINAL EIR, FINDINGS, AND APPROVAL OF

    E-Print Network [OSTI]

    Ullrich, Paul

    G:\\envplanning\\LRDP\\Final EIR\\findings_NODs\\LRDP Findings.doc 11/24/03 CERTIFICATION OF THE FINAL LRDP CEQA FINDINGS PAGE 2 G:\\envplanning\\LRDP\\Final EIR\\findings_NODs\\LRDP Findings.doc 11

  11. 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.

    1983-01-01

    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.

  12. Finding Hierarchical Heavy Hitters in Data Streams

    E-Print Network [OSTI]

    Cormode, Graham

    . The problem we study in this paper is that of finding Hierarchical Heavy Hitters (HHH): given a hierarchy and a fraction , we want to find all HHH nodes that have a total num- ber of descendants in the data stream that are HHH nodes. The resulting summary gives a topological "cartogram" of the hierarchical data. We present

  13. Experiences Using Static Analysis to Find Bugs

    E-Print Network [OSTI]

    Cortes, Corinna

    , FindBugs, code quality, bug patterns, software defects, software quality ! 1 INTRODUCTION SOFTWARE to improve software quality, including testing, code review, and for- mal specification. Find with relatively simple techniques and to help us understand how such tools can be incorporated into the software

  14. ANNUAL CONFERENCE ON SUCCESSFUL AGING FINDING BALANCE

    E-Print Network [OSTI]

    3RD ANNUAL CONFERENCE ON SUCCESSFUL AGING FINDING BALANCE: ENHANCING PHYSICAL, EMOTIONAL, and how to improve them. Finding Balance Supports Our Well-Being. Dr. Glisky will talk about how balance in humans; Evolutionary medicine. Balance Exercises and Fitness to Prevent Injuries and Cognitive Decline

  15. 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, But Are Actually Real 183,768 people recommend this. NASA rover Curiosity finds water in Mars s report 1,823 people

  16. Asynchronous parallel status comparator

    DOE Patents [OSTI]

    Arnold, J.W.; Hart, M.M.

    1992-12-15

    Disclosed is an apparatus for matching asynchronously received signals and determining whether two or more out of a total number of possible signals match. The apparatus comprises, in one embodiment, an array of sensors positioned in discrete locations and in communication with one or more processors. The processors will receive signals if the sensors detect a change in the variable sensed from a nominal to a special condition and will transmit location information in the form of a digital data set to two or more receivers. The receivers collect, read, latch and acknowledge the data sets and forward them to decoders that produce an output signal for each data set received. The receivers also periodically reset the system following each scan of the sensor array. A comparator then determines if any two or more, as specified by the user, of the output signals corresponds to the same location. A sufficient number of matches produces a system output signal that activates a system to restore the array to its nominal condition. 4 figs.

  17. Asynchronous parallel status comparator

    DOE Patents [OSTI]

    Arnold, Jeffrey W. (828 Hickory Ridge Rd., Aiken, SC 29801); Hart, Mark M. (223 Limerick Dr., Aiken, SC 29803)

    1992-01-01

    Apparatus for matching asynchronously received signals and determining whether two or more out of a total number of possible signals match. The apparatus comprises, in one embodiment, an array of sensors positioned in discrete locations and in communication with one or more processors. The processors will receive signals if the sensors detect a change in the variable sensed from a nominal to a special condition and will transmit location information in the form of a digital data set to two or more receivers. The receivers collect, read, latch and acknowledge the data sets and forward them to decoders that produce an output signal for each data set received. The receivers also periodically reset the system following each scan of the sensor array. A comparator then determines if any two or more, as specified by the user, of the output signals corresponds to the same location. A sufficient number of matches produces a system output signal that activates a system to restore the array to its nominal condition.

  18. Co-pyrolysis of low rank coals and biomass: Product distributions

    SciTech Connect (OSTI)

    Soncini, Ryan M.; Means, Nicholas C.; Weiland, Nathan T.

    2013-10-01

    Pyrolysis and gasification of combined low rank coal and biomass feeds are the subject of much study in an effort to mitigate the production of green house gases from integrated gasification combined cycle (IGCC) systems. While co-feeding has the potential to reduce the net carbon footprint of commercial gasification operations, the effects of co-feeding on kinetics and product distributions requires study to ensure the success of this strategy. Southern yellow pine was pyrolyzed in a semi-batch type drop tube reactor with either Powder River Basin sub-bituminous coal or Mississippi lignite at several temperatures and feed ratios. Product gas composition of expected primary constituents (CO, CO{sub 2}, CH{sub 4}, H{sub 2}, H{sub 2}O, and C{sub 2}H{sub 4}) was determined by in-situ mass spectrometry while minor gaseous constituents were determined using a GC-MS. Product distributions are fit to linear functions of temperature, and quadratic functions of biomass fraction, for use in computational co-pyrolysis simulations. The results are shown to yield significant nonlinearities, particularly at higher temperatures and for lower ranked coals. The co-pyrolysis product distributions evolve more tar, and less char, CH{sub 4}, and C{sub 2}H{sub 4}, than an additive pyrolysis process would suggest. For lignite co-pyrolysis, CO and H{sub 2} production are also reduced. The data suggests that evolution of hydrogen from rapid pyrolysis of biomass prevents the crosslinking of fragmented aromatic structures during coal pyrolysis to produce tar, rather than secondary char and light gases. Finally, it is shown that, for the two coal types tested, co-pyrolysis synergies are more significant as coal rank decreases, likely because the initial structure in these coals contains larger pores and smaller clusters of aromatic structures which are more readily retained as tar in rapid co-pyrolysis.

  19. Liquid CO{sub 2}/Coal Slurry for Feeding Low Rank Coal to Gasifiers

    SciTech Connect (OSTI)

    Marasigan, Jose; Goldstein, Harvey; Dooher, John

    2013-09-30

    This study investigates the practicality of using a liquid CO{sub 2}/coal slurry preparation and feed system for the E-Gas™ gasifier in an integrated gasification combined cycle (IGCC) electric power generation plant configuration. Liquid CO{sub 2} has several property differences from water that make it attractive for the coal slurries used in coal gasification-based power plants. First, the viscosity of liquid CO{sub 2} is much lower than water. This means it should take less energy to pump liquid CO{sub 2} through a pipe compared to water. This also means that a higher solids concentration can be fed to the gasifier, which should decrease the heat requirement needed to vaporize the slurry. Second, the heat of vaporization of liquid CO{sub 2} is about 80% lower than water. This means that less heat from the gasification reactions is needed to vaporize the slurry. This should result in less oxygen needed to achieve a given gasifier temperature. And third, the surface tension of liquid CO{sub 2} is about 2 orders of magnitude lower than water, which should result in finer atomization of the liquid CO{sub 2} slurry, faster reaction times between the oxygen and coal particles, and better carbon conversion at the same gasifier temperature. EPRI and others have recognized the potential that liquid CO{sub 2} has in improving the performance of an IGCC plant and have previously conducted systemslevel analyses to evaluate this concept. These past studies have shown that a significant increase in IGCC performance can be achieved with liquid CO{sub 2} over water with certain gasifiers. Although these previous analyses had produced some positive results, they were still based on various assumptions for liquid CO{sub 2}/coal slurry properties. This low-rank coal study extends the existing knowledge base to evaluate the liquid CO{sub 2}/coal slurry concept on an E-Gas™-based IGCC plant with full 90% CO{sub 2} capture. The overall objective is to determine if this technology could be used to reduce the cost and improve the efficiency of IGCC plants. The study goes beyond the systems-level analyses and initial lab work that formed the bases of previous studies and includes the following tasks: performing laboratory tests to quantify slurry properties; developing an engineering design of a liquid CO{sub 2} slurry preparation and feed system; conducting a full IGCC plant techno-economic analysis for Powder River Basin (PRB) coal and North Dakota lignite in both water and liquid CO{sub 2} slurries; and identifying a technology development plan to continue the due diligence to conduct a comprehensive evaluation of this technology. The initial task included rheology tests and slurry data analyses that would increase the knowledge and understanding of maximum solids loading capability for both PRB and lignite. Higher coal concentrations have been verified in liquid CO{sub 2} over water slurries, and a coal concentration of 75% by weight in liquid CO{sub 2} has been estimated to be achievable in a commercial application. In addition, lower slurry viscosities have been verified in liquid CO{sub 2} at the same solids loading, where the liquid CO{sub 2}/coal slurry viscosity has been measured to be about a factor of 10 lower than the comparable water slurry and estimated to be less than 100 centipoise in a commercial application. In the following task, an engineering design of a liquid CO{sub 2}/coal slurry preparation and mixing system has been developed for both a batch and continuous system. The capital cost of the design has also been estimated so that it could be used in the economic analysis. An industry search and survey has been conducted to determine if essential components required to construct the feed system are available from commercial sources or if targeted R&D efforts are required. The search and survey concluded that commercial sources are available for selected components that comprise both the batch and continuous type systems. During normal operation, the fuel exits the bottom of the coal silo and is fed to a rod mill fo

  20. A special case of the Buchsbaum-Eisenbud-Horrocks rank conjecture

    E-Print Network [OSTI]

    Erman, Daniel

    2009-01-01

    The Buchsbaum-Eisenbud-Horrocks rank conjecture proposes lower bounds for the Betti numbers of a graded module M based on the codimension of M. We prove a special case of this conjecture via Boij-Soederberg theory. More specifically, we show that the conjecture holds for graded modules where the regularity of M is small relative to the minimal degree of a first syzygy of M. Our approach also yields an asymptotic lower bound for the Betti numbers of powers of an ideal generated in a single degree.

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

    SciTech Connect (OSTI)

    Adams, Mark; Brown, Jed; Shalf, John; Straalen, Brian Van; Strohmaier, Erich; Williams, Sam

    2014-05-05

    This document provides an overview of the benchmark ? HPGMG ? for ranking large scale general purpose computers for use on the Top500 list [8]. We provide a rationale for the need for a replacement for the current metric HPL, some background of the Top500 list and the challenges of developing such a metric; we discuss our design philosophy and methodology, and an overview of the specification of the benchmark. The primary documentation with maintained details on the specification can be found at hpgmg.org and the Wiki and benchmark code itself can be found in the repository https://bitbucket.org/hpgmg/hpgmg.

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

    DOE Patents [OSTI]

    Merriam, N.W.; Sethi, V.; Brecher, L.E.

    1994-06-21

    A process is described 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. 1 fig.

  3. Can Recruiting Rankings Predict the Success of NCAA Division I Football Teams? An Examination of the Relationships among Rivals and Scouts Recruiting Rankings and Jeff Sagarin End-of-Season Ratings in Collegiate Football

    E-Print Network [OSTI]

    Herda, Trent J.; Ryan, Eric D.; DeFreitas, Jason M.; Costa, Pablo B.; Herda, Ashley A.; Hoge, Katherine M.; Weir, Joseph P.; Cramer, Joel T.

    2009-10-01

    The purpose of the present study was to examine the relationships among National Collegiate Athletic Association (NCAA) Division I football teams' 2002 recruiting rankings from the Rivals (RIV) and Scouts (SCO) recruiting services and the Jeff...

  4. Evaluation and Ranking of Geothermal Resources for Electrical Generation or Electrical Offset in Idaho, Montana, Oregon and Washington. Volume I.

    SciTech Connect (OSTI)

    Bloomquist, R. Gordon

    1985-06-01

    The objective was to consolidate and evaluate all geologic, environmental, and legal and institutional information in existing records and files, and to apply a uniform methodology to the evaluation and ranking of sites to allow the making of creditable forecasts of the supply of geothermal energy which could be available in the region over a 20 year planning horizon. A total of 1265 potential geothermal resource sites were identified from existing literature. Site selection was based upon the presence of thermal and mineral springs or wells and/or areas of recent volcanic activity and high heat flow. 250 sites were selected for detailed analysis. A methodology to rank the sites by energy potential, degree of developability, and cost of energy was developed. Resource developability was ranked by a method based on a weighted variable evaluation of resource favorability. Sites were ranked using an integration of values determined through the cost and developability analysis. 75 figs., 63 tabs.

  5. Relationship between Particle Size Distribution of Low-Rank Pulverized Coal and Power Plant Performance

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Ganguli, Rajive; Bandopadhyay, Sukumar

    2012-01-01

    The impact of particle size distribution (PSD) of pulverized, low rank high volatile content Alaska coal on combustion related power plant performance was studied in a series of field scale tests. Performance was gauged through efficiency (ratio of megawatt generated to energy consumed as coal), emissions (SO 2 , NO x , CO), and carbon content of ash (fly ash and bottom ash). The study revealed that the tested coal could be burned at a grind as coarse as 50% passing 76 microns, with no deleterious impact on power generation andmore »emissions. The PSD’s tested in this study were in the range of 41 to 81 percent passing 76 microns. There was negligible correlation between PSD and the followings factors: efficiency, SO 2 , NO x , and CO. Additionally, two tests where stack mercury (Hg) data was collected, did not demonstrate any real difference in Hg emissions with PSD. The results from the field tests positively impacts pulverized coal power plants that burn low rank high volatile content coals (such as Powder River Basin coal). These plants can potentially reduce in-plant load by grinding the coal less (without impacting plant performance on emissions and efficiency) and thereby, increasing their marketability. « less

  6. Finding Hidden Oil and Gas Reserves

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES OctoberEvanServices » Incentives &ReportseBooks FindFinding

  7. Finding Algorithms in Scientific Articles Sumit Bhatia

    E-Print Network [OSTI]

    Giles, C. Lee

    Finding Algorithms in Scientific Articles Sumit Bhatia , Prasenjit Mitra and C. Lee Giles,giles}@ist.psu.edu ABSTRACT Algorithms are an integral part of computer science literature. How- ever, none of the current search engines offer specialized algorithm search facility. We describe a vertical search engine

  8. 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

  9. Application Deadline: Where you'll find

    E-Print Network [OSTI]

    de Leon, Alex R.

    Application Deadline: January 15 Where you'll find some of our alumni · PhD (Mathematical Finance and operations research, with applications to biology, energy finance, geoscience and medicine · Number theory, and applications to biology, medicine and oil & gas industry You could be working on these research problems

  10. Automated Filament Finding and Selection from Cryo

    E-Print Network [OSTI]

    Illinois at Urbana-Champaign, University of

    Automated Filament Finding and Selection from Cryo Electron Micrographs Y. Zhu, B. Carragher, and C N Mathews Urbana, IL 61801 techreports@itg.uiuc.edu http://www.itg.uiuc.edu #12;AUTOMATED FILAMENT and selecting filamentous structures from images of this kind. Images are acquired in defocus pairs; a near

  11. Vermont's Changing Forests Key Findings on the

    E-Print Network [OSTI]

    Keeton, William S.

    1 Vermont's Changing Forests Key Findings on the Health of Forested Ecosystems from the Vermont Members Anne Archie, USDA Forest Service Douglas Lantagne, University of Vermont Ed O'Leary, Vermont, USDA Farm Service Agency Charles Scott, USDA Forest Service Steven Sinclair, Vermont Agency of Natural

  12. 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) SAN ANTONIO QUICK FINDER MAPS F 1373 .B46 F4 1990 33. A (1) SURFACE WATER RESOURCES OF TEXAS MAPS G

  13. Finding Music Scores with Library Search

    E-Print Network [OSTI]

    Chrispell, John

    Multiple Sources from the menu, enter your search terms, and click the green magnifying glass to search in the Popular Resources box. Enter your search terms, limit to Music Scores, then click Search. Click the titleFinding Music Scores with Library Search BEGIN YOUR SEARCH AT http://library.tulane.edu Select

  14. DOE SBIR Phase II Final Report: Distributed Relevance Ranking in Heterogeneous Document Collections

    SciTech Connect (OSTI)

    Abe Lederman

    2007-01-08

    This report contains the comprehensive summary of the work performed on the SBIR Phase II project (“Distributed Relevance Ranking in Heterogeneous Document Collections”) at Deep Web Technologies (http://www.deepwebtech.com). We have successfully completed all of the tasks defined in our SBIR Proposal work plan (See Table 1 - Phase II Tasks Status). The project was completed on schedule and we have successfully deployed an initial production release of the software architecture at DOE-OSTI for the Science.gov Alliance's search portal (http://www.science.gov). We have implemented a set of grid services that supports the extraction, filtering, aggregation, and presentation of search results from numerous heterogeneous document collections. Illustration 3 depicts the services required to perform QuickRank™ filtering of content as defined in our architecture documentation. Functionality that has been implemented is indicated by the services highlighted in green. We have successfully tested our implementation in a multi-node grid deployment both within the Deep Web Technologies offices, and in a heterogeneous geographically distributed grid environment. We have performed a series of load tests in which we successfully simulated 100 concurrent users submitting search requests to the system. This testing was performed on deployments of one, two, and three node grids with services distributed in a number of different configurations. The preliminary results from these tests indicate that our architecture will scale well across multi-node grid deployments, but more work will be needed, beyond the scope of this project, to perform testing and experimentation to determine scalability and resiliency requirements. We are pleased to report that a production quality version (1.4) of the science.gov Alliance's search portal based on our grid architecture was released in June of 2006. This demonstration portal is currently available at http://science.gov/search30 . The portal allows the user to select from a number of collections grouped by category and enter a query expression (See Illustration 1 - Science.gov 3.0 Search Page). After the user clicks “search” a results page is displayed that provides a list of results from the selected collections ordered by relevance based on the query expression the user provided. Our grid based solution to deep web search and document ranking has already gained attention within DOE, other Government Agencies and a fortune 50 company. We are committed to the continued development of grid based solutions to large scale data access, filtering, and presentation problems within the domain of Information Retrieval and the more general categories of content management, data mining and data analysis.

  15. Improvement of thermal properties of low-rank coals treated by hydrothermal process

    SciTech Connect (OSTI)

    Xie, X.F.; Ohki, A.; Maeda, S.

    1999-07-01

    Australian low-rank coals, Loy Yang coal, Yallourn coal and Indonesian Adaro coal are hydrothermally treated at 200-350 C. The simultaneous TG/DTA is used to investigate the thermal properties, which include the volatile release profile under a nitrogen atmosphere and the burning profile under an air atmosphere. It is found that the temperature of volatile matter combustion (Ti1) of the hot water dried coals (upgraded coals) increases with heat treatment temperature (HTT), whereas the temperature of char combustion (Ti2), the temperature of maximum reaction (Tmax) and the temperature of char burn out (Tout) do not have large increase on the HTT. These results suggest that the HWD process can raise the volatile matter ignition temperature, resulting in improving the spontaneous ignition temperature, but it still maintains the original combustion behavior. Results from TG-DTA measurements are consistent with those determined by FTIR and solid state {sup 13}C CP/MAS NMR.

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

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

    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...

  17. Finite Model Finding for Parameterized Verification

    E-Print Network [OSTI]

    Lisitsa, Alexei

    2010-01-01

    In this paper we investigate to which extent a very simple and natural "reachability as deducibility" approach, originated in the research in formal methods in security, is applicable to the automated verification of large classes of infinite state and parameterized systems. The approach is based on modeling the reachability between (parameterized) states as deducibility between suitable encodings of states by formulas of first-order predicate logic. The verification of a safety property is reduced to a pure logical problem of finding a countermodel for a first-order formula. The later task is delegated then to the generic automated finite model building procedures. In this paper we first establish the relative completeness of the finite countermodel finding method (FCM) for a class of parameterized linear arrays of finite automata. The method is shown to be at least as powerful as known methods based on monotonic abstraction and symbolic backward reachability. Further, we extend the relative completeness of ...

  18. http://www.patent.gov.uk/patent/p-find/p-find-number Patents status information

    E-Print Network [OSTI]

    Colquhoun, David

    http://www.patent.gov.uk/patent/p-find/p-find-number Patents status information FULL DETAILS2409644 dated 06.07.2005 Examination requested 31.12.2004 Grant of Patent (Notification under Section 18(4)) 22.11.2005 Publication of notice in the Patents and Designs Journal (Section 25(1)) 21.12.2005 Title

  19. Local-global alignment for finding 3D similarities in protein structures

    DOE Patents [OSTI]

    Zemla, Adam T. (Brentwood, CA)

    2011-09-20

    A method of finding 3D similarities in protein structures of a first molecule and a second molecule. The method comprises providing preselected information regarding the first molecule and the second molecule. Comparing the first molecule and the second molecule using Longest Continuous Segments (LCS) analysis. Comparing the first molecule and the second molecule using Global Distance Test (GDT) analysis. Comparing the first molecule and the second molecule using Local Global Alignment Scoring function (LGA_S) analysis. Verifying constructed alignment and repeating the steps to find the regions of 3D similarities in protein structures.

  20. Best Possible Strategy for Finding Ground States

    SciTech Connect (OSTI)

    Franz, Astrid; Hoffmann, Karl Heinz; Salamon, Peter

    2001-06-04

    Finding the ground state of a system with a complex energy landscape is important for many physical problems including protein folding, spin glasses, chemical clusters, and neural networks. Such problems are usually solved by heuristic search methods whose efficacy is judged by empirical performance on selected examples. We present a proof that, within the large class of algorithms that simulate a random walk on the landscape, threshold accepting is the best possible strategy. In particular, it can perform better than simulated annealing and Tsallis statistics. Our proof is the first example of a provably optimal strategy in this area.

  1. Comparative Architecture The NASA-ESA Comparative Architecture Assessment

    E-Print Network [OSTI]

    Rathbun, Julie A.

    The NASA-ESA Comparative Architecture Assessment #12;The NASA-ESA Comparative Architecture studying lunar outpost architecture concepts, including habitation, mobility and communication systems, to support U.S. lunar exploration and science objectives. Elements of a surface architecture will rely

  2. Evaluation and Ranking of Geothermal Resources for Electrical Generation or Electrical Offset in Idaho, Montana, Oregon and Washington. Volume II.

    SciTech Connect (OSTI)

    Bloomquist, R. Gordon

    1985-06-01

    This volume contains appendices on: (1) resource assessment - electrical generation computer results; (2) resource assessment summary - direct use computer results; (3) electrical generation (high temperature) resource assessment computer program listing; (4) direct utilization (low temperature) resource assessment computer program listing; (5) electrical generation computer program CENTPLANT and related documentation; (6) electrical generation computer program WELLHEAD and related documentation; (7) direct utilization computer program HEATPLAN and related documentation; (8) electrical generation ranking computer program GEORANK and related documentation; (9) direct utilization ranking computer program GEORANK and related documentation; and (10) life cycle cost analysis computer program and related documentation. (ACR)

  3. ALGORITHMS FOR CONSTRUCTING COMPARATIVE MAPS

    E-Print Network [OSTI]

    Kleinberg, Jon

    (i.e. that the segments are homeologous). The construction of comparative maps between the genomes and phylogenetic relationships among species as well as fundamental principles of genome evolution. Comparative maps allow us to use structural and functional information about one genome to make predictions about

  4. Liquefaction of calcium-containing subbituminous coals and coals of lower rank

    DOE Patents [OSTI]

    Gorbaty, Martin L. (Sanwood, NJ); Taunton, John W. (Seabrook, TX)

    1980-01-01

    A process for the treatment of a calcium-containing subbituminous coal and coals of lower rank to form insoluble, thermally stable calcium salts which remain within the solids portions of the residue on liquefaction of the coal, thereby suppressing the formation scale, made up largely of calcium carbonate deposits, e.g., vaterite, which normally forms within the coal liquefaction reactor (i.e., coal liquefaction zone), e.g., on reactor surfaces, lines, auxiliary equipment and the like. A solution of a compound or salt characterized by the formula MX, where M is a Group IA metal of the Periodic Table of the Elements, and X is an anion which is capable of forming water-insoluble, thermally stable calcium compounds, is maintained in contact with a particulate coal feed sufficient to impregnate said salt or compound into the pores of the coal. On separation of the impregnated particulate coal from the solution, the coal can be liquefied in a coal liquefaction reactor (reaction zone) at coal liquefaction conditions without significant formation of vaterite or other forms of calcium carbonate on reactor surfaces, auxiliary equipment and the like; and the Group IA metal which remains within the liquefaction bottoms catalyzes the reaction when the liquefaction bottoms are subjected to a gasification reaction.

  5. Reservoir characterization based on tracer response and rank analysis of production and injection rates

    SciTech Connect (OSTI)

    Refunjol, B.T.; Lake, L.W.

    1997-08-01

    Quantification of the spatial distribution of properties is important for many reservoir-engineering applications. But, before applying any reservoir-characterization technique, the type of problem to be tackled and the information available should be analyzed. This is important because difficulties arise in reservoirs where production records are the only information for analysis. This paper presents the results of a practical technique to determine preferential flow trends in a reservoir. The technique is a combination of reservoir geology, tracer data, and Spearman rank correlation coefficient analysis. The Spearman analysis, in particular, will prove to be important because it appears to be insightful and uses injection/production data that are prevalent in circumstances where other data are nonexistent. The technique is applied to the North Buck Draw field, Campbell County, Wyoming. This work provides guidelines to assess information about reservoir continuity in interwell regions from widely available measurements of production and injection rates at existing wells. The information gained from the application of this technique can contribute to both the daily reservoir management and the future design, control, and interpretation of subsequent projects in the reservoir, without the need for additional data.

  6. Low-rank separated representation surrogates of high-dimensional stochastic functions: Application in Bayesian inference

    SciTech Connect (OSTI)

    Validi, AbdoulAhad, E-mail: validiab@msu.edu

    2014-03-01

    This study introduces a non-intrusive approach in the context of low-rank separated representation to construct a surrogate of high-dimensional stochastic functions, e.g., PDEs/ODEs, in order to decrease the computational cost of Markov Chain Monte Carlo simulations in Bayesian inference. The surrogate model is constructed via a regularized alternative least-square regression with Tikhonov regularization using a roughening matrix computing the gradient of the solution, in conjunction with a perturbation-based error indicator to detect optimal model complexities. The model approximates a vector of a continuous solution at discrete values of a physical variable. The required number of random realizations to achieve a successful approximation linearly depends on the function dimensionality. The computational cost of the model construction is quadratic in the number of random inputs, which potentially tackles the curse of dimensionality in high-dimensional stochastic functions. Furthermore, this vector-valued separated representation-based model, in comparison to the available scalar-valued case, leads to a significant reduction in the cost of approximation by an order of magnitude equal to the vector size. The performance of the method is studied through its application to three numerical examples including a 41-dimensional elliptic PDE and a 21-dimensional cavity flow.

  7. Landfill aeration worldwide: Concepts, indications and findings

    SciTech Connect (OSTI)

    Ritzkowski, M.; Stegmann, R.

    2012-07-15

    Highlights: Black-Right-Pointing-Pointer Different landfill aeration concepts and accordant application areas are described. Black-Right-Pointing-Pointer Examples of full scale projects are provided for Europe, North-America and Asia. Black-Right-Pointing-Pointer Major project findings are summarised, including prospects and limitations. Black-Right-Pointing-Pointer Inconsistencies between laboratory and full scale results have been elaborated. Black-Right-Pointing-Pointer An explanatory approach in connection with the inconsistencies is provided. - Abstract: The creation of sustainable landfills is a fundamental goal in waste management worldwide. In this connection landfill aeration contributes towards an accelerated, controlled and sustainable conversion of conventional anaerobic landfills into a biological stabilized state associated with a minimised emission potential. The technology has been successfully applied to landfills in Europe, North America and Asia, following different strategies depending on the geographical region, the specific legislation and the available financial resources. Furthermore, methodologies for the incorporation of landfill aeration into the carbon trade mechanisms have been developed in recent years. This manuscript gives an overview on existing concepts for landfill aeration; their application ranges and specifications. For all of the described concepts examples from different countries worldwide are provided, including details regarding their potentials and limitations. Some of the most important findings from these aeration projects are summarised and future research needs have been identified. It becomes apparent that there is a great demand for a systematisation of the available results and implications in order to further develop and optimise this very promising technology. The IWWG (International Waste Working Group) Task Group 'Landfill Aeration' contributes towards the achievement of this goal.

  8. Comparing Business and Household Sector Innovation in Consumer Products: Findings from a Representative Study in the United Kingdom

    E-Print Network [OSTI]

    von Hippel, Eric A.

    In a first survey of its type, we measure development and modification of consumer products by product users in a representative sample of 1,173 UK consumers age 18 and older. We estimate this previously unmeasured type ...

  9. A Framework for Comparative Assessments of Energy Efficiency Policy Measures

    SciTech Connect (OSTI)

    Blum, Helcio; Atkinson, Barbara; Lekov, Alex

    2011-05-24

    When policy makers propose new policies, there is a need to assess the costs and benefits of the proposed policy measures, to compare them to existing and alternative policies, and to rank them according to their effectiveness. In the case of equipment energy efficiency regulations, comparing the effects of a range of alternative policy measures requires evaluating their effects on consumers’ budgets, on national energy consumption and economics, and on the environment. Such an approach should be able to represent in a single framework the particularities of each policy measure and provide comparable results. This report presents an integrated methodological framework to assess prospectively the energy, economic, and environmental impacts of energy efficiency policy measures. The framework builds on the premise that the comparative assessment of energy efficiency policy measures should (a) rely on a common set of primary data and parameters, (b) follow a single functional approach to estimate the energy, economic, and emissions savings resulting from each assessed measure, and (c) present results through a set of comparable indicators. This framework elaborates on models that the U.S. Department of Energy (DOE) has used in support of its rulemakings on mandatory energy efficiency standards. In addition to a rigorous analysis of the impacts of mandatory standards, DOE compares the projected results of alternative policy measures to those projected to be achieved by the standards. The framework extends such an approach to provide a broad, generic methodology, with no geographic or sectoral limitations, that is useful for evaluating any type of equipment energy efficiency market intervention. The report concludes with a demonstration of how to use the framework to compare the impacts estimated for twelve policy measures focusing on increasing the energy efficiency of gas furnaces in the United States.

  10. SourceRank: Relevance and Trust Assessment for Deep Web Sources Based on Inter-Source Agreement

    E-Print Network [OSTI]

    Kambhampati, Subbarao

    SourceRank: Relevance and Trust Assessment for Deep Web Sources Based on Inter-Source Agreement. Existing methods have two deficiencies for applying to the open col- lections like the deep web. First query in the deep web, the agreements between theses an- swer sets are likely to be helpful in assessing

  11. SourceRank: Relevance and Trust Assessment for Deep Web Sources Based on Inter-Source Agreement

    E-Print Network [OSTI]

    Kambhampati, Subbarao

    SourceRank: Relevance and Trust Assessment for Deep Web Sources Based on Inter-Source Agreement Tempe AZ USA 85287 rajub@asu.edu, rao@asu.edu ABSTRACT One immediate challenge in searching the deep web-similarity-based relevance assess- ment. When applied to the deep web these methods have two deficiencies. First

  12. An SVD-free Approach to a Class of Structured Low Rank Matrix Optimization Problems with Application to System Identification

    E-Print Network [OSTI]

    on the nuclear norm. We represent the desired structure by a linear map, termed mutation, that we characterize, the algorithm is SVD-free, which leads to improved scalability. The idea relies on restating the nuclear norm be conveniently expressed by the rank of an appropriate matrix. In particular, nuclear norm optimization methods

  13. Sorting and Searching Behind the Curtain Private Outsourced Sort and Frequency-Based Ranking of Search Results Over Encrypted Data*

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    Sorting and Searching Behind the Curtain Private Outsourced Sort and Frequency-Based Ranking of Search Results Over Encrypted Data* Foteini Baldimtsi1 and Olga Ohrimenko2 1 Boston University the problem of private outsourced sorting of encrypted data. We start by proposing a novel sorting protocol

  14. Innovation Tournaments: An Analysis of Rank, Diffusion and Survival in Motion Pictures Arthur De Vany, W. David Walls

    E-Print Network [OSTI]

    White, Douglas R.

    MBS 93-37 Innovation Tournaments: An Analysis of Rank, Diffusion and Survival in Motion Pictures Arthur De Vany, W. David Walls This is a study of competition in the motion picture theatrical market that the motion picture market resembles a tournament in which Schumpeterian creative destruction operates

  15. Forest Products Marketing on the Internet "When history is written, the creation of the Internet may be ranked

    E-Print Network [OSTI]

    Forest Products Marketing on the Internet Bob Smith "When history is written, the creation of the Internet may be ranked alongside Johann Gutenberg's printing press and Marconi's radio as among the major attention in the past year than the Internet. Every major newspaper, magazine, and television station have

  16. Enhancer Identification through Comparative Genomics

    E-Print Network [OSTI]

    Visel, Axel; Bristow, James; Pennacchio, Len A.

    2006-01-01

    through Comparative Genomics Axel Visel, James Bristow andWalnut Creek, CA 94598 USA. Genomics Division, MS 84-171,Len A. Pennacchio, Genomics Division, One Cyclotron Road, MS

  17. A Nearest Neighbor Approach to Label Ranking based on Generalized Labelwise Loss Minimization

    E-Print Network [OSTI]

    Hüllermeier, Eyke

    decomposition (LWD) is introduced in Section 4. Section 5 is devoted to a general discussion of similarities, in which LWD is compared with existing decomposition techniques in a systematic way. The paper end

  18. Disunion in the Ranks: Soldiers, Citizenship, and Mutiny in the Union Army 

    E-Print Network [OSTI]

    Romansky, Thaddeus Michael

    2015-04-23

    This dissertation is the first scholarly study to comparatively analyze the mutinies of Anglo, immigrant and African American soldiers in the Union Army. Those collective and individual military protest actions were part ...

  19. Universality, Correlations, and Rankings in the Brazilian Universities National Admission Examinations

    E-Print Network [OSTI]

    da Silva, Roberto; Barbosa, Marcia C

    2015-01-01

    The scores obtained by students that have performed the ENEM exam, the Brazilian High School National Examination used to admit students at the Brazilian universities, is analyzed. The average high school's scores are compared between different disciplines through the Pearson correlation coefficient. The results show a very large correlation between the performance in the different subjects. Even thought the students' scores in the ENEM due to the standardization form a Gaussian, we show that the high schools' scores form a bimodal distribution that can not be used to evaluate and compare performance over time. We also show that this high schools distribution reflects the correlation between school performance and economic level of the students. The ENEM's scores are compared with a Brazilian non standardized exam, the entrance exam at the Universidade Federal do Rio Grande do Sul. The comparison of the performance of the same individuals in both tests is compared showing that the two tests not only select di...

  20. Low-rank coal research. Final technical report, April 1, 1988--June 30, 1989, including quarterly report, April--June 1989

    SciTech Connect (OSTI)

    Not Available

    1989-12-31

    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).

  1. Finding Nonoverlapping Substructures of a Sparse Matrix

    SciTech Connect (OSTI)

    Pinar, Ali; Vassilevska, Virginia

    2005-08-11

    Many applications of scientific computing rely on computations on sparse matrices. The design of efficient implementations of sparse matrix kernels is crucial for the overall efficiency of these applications. Due to the high compute-to-memory ratio and irregular memory access patterns, the performance of sparse matrix kernels is often far away from the peak performance on a modern processor. Alternative data structures have been proposed, which split the original matrix A into A{sub d} and A{sub s}, so that A{sub d} contains all dense blocks of a specified size in the matrix, and A{sub s} contains the remaining entries. This enables the use of dense matrix kernels on the entries of A{sub d} producing better memory performance. In this work, we study the problem of finding a maximum number of nonoverlapping dense blocks in a sparse matrix, which is previously not studied in the sparse matrix community. We show that the maximum nonoverlapping dense blocks problem is NP-complete by using a reduction from the maximum independent set problem on cubic planar graphs. We also propose a 2/3-approximation algorithm that runs in linear time in the number of nonzeros in the matrix. This extended abstract focuses on our results for 2x2 dense blocks. However we show that our results can be generalized to arbitrary sized dense blocks, and many other oriented substructures, which can be exploited to improve the memory performance of sparse matrix operations.

  2. A Linear Programming Heuristic for Learning a Linear Model to Rank Order Data

    E-Print Network [OSTI]

    Magdon-Ismail, Malik

    · · · xN T w. Since the scale of the weights w is irrelevant, we can equivalently formulate the problem as finding w to satisfy the N - 1 constraints (xi - xi+1)T 1 for i = 1, . . . , N - 1. When suggest the || w ||. Our heuristic is thus to solve the optimization problem min w, || w || + C N-1 i=1 i

  3. Advanced CO{sub 2} Capture Technology for Low Rank Coal IGCC System

    SciTech Connect (OSTI)

    Alptekin, Gokhan

    2013-09-30

    The overall objective of the project is to demonstrate the technical and economic viability of a new Integrated Gasification Combined Cycle (IGCC) power plant designed to efficiently process low rank coals. The plant uses an integrated CO{sub 2} scrubber/Water Gas Shift (WGS) catalyst to capture over90 percent capture of the CO{sub 2} emissions, while providing a significantly lower cost of electricity (COE) than a similar plant with conventional cold gas cleanup system based on SelexolTM technology and 90 percent carbon capture. TDA’s system uses a high temperature physical adsorbent capable of removing CO{sub 2} above the dew point of the synthesis gas and a commercial WGS catalyst that can effectively convert CO in The overall objective of the project is to demonstrate the technical and economic viability of a new Integrated Gasification Combined Cycle (IGCC) power plant designed to efficiently process low rank coals. The plant uses an integrated CO{sub 2} scrubber/Water Gas Shift (WGS) catalyst to capture over90 percent capture of the CO{sub 2} emissions, while providing a significantly lower cost of electricity (COE) than a similar plant with conventional cold gas cleanup system based on SelexolTM technology and 90 percent carbon capture. TDA’s system uses a high temperature physical adsorbent capable of removing CO{sub 2} above the dew point of the synthesis gas and a commercial WGS catalyst that can effectively convert CO in bituminous coal the net plant efficiency is about 2.4 percentage points higher than an Integrated Gasification Combined Cycle (IGCC) plant equipped with SelexolTM to capture CO{sub 2}. We also previously completed two successful field demonstrations: one at the National Carbon Capture Center (Southern- Wilsonville, AL) in 2011, and a second demonstration in fall of 2012 at the Wabash River IGCC plant (Terra Haute, IN). In this project, we first optimized the sorbent to catalyst ratio used in the combined WGS and CO{sub 2} capture process and confirmed the technical feasibility in bench-scale experiments. In these tests, we did not observe any CO breakthrough both during adsorption and desorption steps indicating that there is complete conversion of CO to CO{sub 2} and H{sub 2}. The overall CO conversions above 90 percent were observed. The sorbent achieved a total CO{sub 2} loading of 7.82 percent wt. of which 5.68 percent is from conversion of CO into CO{sub 2}. The results of the system analysis suggest that the TDA combined shift and high temperature PSA-based Warm Gas Clean-up technology can make a substantial improvement in the IGCC plant thermal performance for a plant designed to achieve near zero emissions (including greater than 90 percent carbon capture). The capital expenses are also expected to be lower than those of Selexol. The higher net plant efficiency and lower capital and operating costs result in substantial reduction in the COE for the IGCC plant equipped with the TDA combined shift and high temperature PSA-based carbon capture system.

  4. Ranking low cost sorbents for mercury capture from simulated flue gases

    SciTech Connect (OSTI)

    H. Revata Seneviratne; Cedric Charpenteau; Anthe George; Marcos Millan; Denis R. Dugwell; Rafael Kandiyoti

    2007-12-15

    Coal fired utility boilers are the largest anthropogenic source of mercury release to the atmosphere, and mercury abatement legislation is already in place in the USA. The present study aimed to rank low cost mercury sorbents (char and activated carbon from the pyrolysis of scrap tire rubber and two coal fly ashes from UK power plants) against Norit Darco HgTM for mercury retention by using a novel bench-scale reactor. In this scheme, a fixed sorbent bed was tested for mercury capture efficiency from a simulated flue gas stream. Experiments with a gas stream of only mercury and nitrogen showed that while the coal ashes were the most effective in mercury capture, char from the pyrolysis of scrap tire rubber was as effective as the commercial sorbent Norit Darco HgTM. Tests conducted at 150{sup o}C, with a simulated flue gas mix that included N{sub 2}, NO, NO{sub 2}, CO{sub 2}, O{sub 2}, SO{sub 2} and HCl, showed that all the sorbents captured approximately 100% of the mercury in the gas stream. The introduction of NO and NO{sub 2} was found to significantly improve the mercury capture, possibly by reactions between NOx and the mercury. Since the sorbents' efficiency decreased with increasing test temperature, physical sorption could be the initial step in the mercury capture process. As the sorbents were only exposed to 64 ng of mercury in the gas stream, the mercury loadings on the samples were significantly less than their equilibrium capacities. The larger capacities of the activated carbons due to their more microporous structure were therefore not utilized. Although the sorbents have been characterized by BET surface area analysis and XRD analysis, further analysis is needed in order to obtain a more conclusive correlation of how the characteristics of the different sorbents correlate with the observed variations in mercury capture ability. 34 refs., 8 figs., 6 tabs.

  5. Environmental Scientists Find Antibiotics, Bacteria, Resistance Genes in Feedlot Dust

    E-Print Network [OSTI]

    Rock, Chris

    Environmental Scientists Find Antibiotics, Bacteria, Resistance Genes in Feedlot Dust :: Texas Tech Today http://today.ttu.edu/2015/01/environmental-scientists-find-antibiotics Print Email + Font - Font Environmental Scientists Find Antibiotics, Bacteria, Resistance Genes

  6. District-school leadership for organizational learning : finding the balance

    E-Print Network [OSTI]

    Umekubo, Lisa Ann

    2012-01-01

    Learning: Finding the Balance Lisa A. Umekubo, a researcher/Learning: Finding the Balance CVESD has made an impact byLearning: Finding the Balance CVESD has made an impact by

  7. What is VuFind? VuFind is a newer inter-

    E-Print Network [OSTI]

    Lee, Tonghun

    to narrow by color, price, etc. #12;Basic Searching: 1. Enter search term(s) in box, use " " to searchFind is now the default catalog for the University of Illinois, you can still search the Classic Catalog. Certain types of searches need to be done in the Classic Catalog; they are listed to the right. Vu

  8. ULTRA-DEEP WATER ADVISORY COMMITTEE FINDINGS AND

    Energy Savers [EERE]

    ULTRA-DEEP WATER ADVISORY COMMITTEE FINDINGS AND RECOMMENDATIONS 2014 ULTRA-DEEPWATER ADVISORY COMMITTEE COMMITTEE FINDINGS AND RECOMMENDATIONS i Table of Contents Research and...

  9. Study Finds 54 Gigawatts of Offshore Wind Capacity Technically...

    Energy Savers [EERE]

    Study Finds 54 Gigawatts of Offshore Wind Capacity Technically Possible by 2030 Study Finds 54 Gigawatts of Offshore Wind Capacity Technically Possible by 2030 September 11, 2014 -...

  10. Innovative Financing Solutions: Finding Money for Your Energy...

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

    to find funding for your energy efficiency projects focusing on l-p agreements. Author: Energy Star Innovative Financing Solutions: Finding Money for Your Energy Efficiency...

  11. Jefferson Lab finds its man Mont (Inside Business) | Jefferson...

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

    https:www.jlab.orgnewsarticlesjefferson-lab-finds-its-man-mont-inside-business Jefferson Lab finds its man Mont Hugh Montgomery Hugh Montgomery, a British nuclear physicist...

  12. Phase comparator apparatus and method

    DOE Patents [OSTI]

    Coffield, F.E.

    1985-02-01

    This invention finds especially useful application for interferometer measurements made in plasma fusion devices (e.g., for measuring the line integral of electron density in the plasma). Such interferometers typically use very high intermediate frequencies (e.g., on the order of 10 to 70 MHz) and therefore the phase comparison circuitry should be a high speed circuit with a linear transfer characteristic so as to accurately differentiate between small fractions of interference fringes.

  13. Effect of coal rank and process conditions on temperature distribution in a liquefaction reactor

    SciTech Connect (OSTI)

    Nalitham, R.V.; Moniz, M.

    1986-04-01

    The temperature distribution in a liquefaction reactor in the integrated TSL process is studied. The effects of gas and slurry superficial velocities, process solvent characteristics, reactor length, and catalyst sulfiding agent on the exotherm and temperature difference in the reactor are studied. A substantial temperature difference is observed with subbituminous coal as compared with bituminous coal, at comparable reactor conditions. Some of the factors that are believed to have contributed to the large exotherm and temperature difference in the reactor are slow kinetics and high reaction heat for subbituminous coal conversion and pyrrhotite catalysis.

  14. OXIDATION OF MERCURY ACROSS SCR CATALYSTS IN COAL-FIRED POWER PLANTS BURNING LOW RANK FUELS

    SciTech Connect (OSTI)

    Constance Senior

    2004-12-31

    The objectives of this program were to measure the oxidation of mercury in flue gas across SCR catalyst in a coal-fired power plant burning low rank fuels using a slipstream reactor containing multiple commercial catalysts in parallel and to develop a greater understanding of mercury oxidation across SCR catalysts in the form of a simple model. The Electric Power Research Institute (EPRI) and Argillon GmbH provided co-funding for this program. REI used a multicatalyst slipstream reactor to determine oxidation of mercury across five commercial SCR catalysts at a power plant that burned a blend of 87% subbituminous coal and 13% bituminous coal. The chlorine content of the blend was 100 to 240 {micro}g/g on a dry basis. Mercury measurements were carried out when the catalysts were relatively new, corresponding to about 300 hours of operation and again after 2,200 hours of operation. NO{sub x}, O{sub 2} and gaseous mercury speciation at the inlet and at the outlet of each catalyst chamber were measured. In general, the catalysts all appeared capable of achieving about 90% NO{sub x} reduction at a space velocity of 3,000 hr{sup -1} when new, which is typical of full-scale installations; after 2,200 hours exposure to flue gas, some of the catalysts appeared to lose NO{sub x} activity. For the fresh commercial catalysts, oxidation of mercury was in the range of 25% to 65% at typical full-scale space velocities. A blank monolith showed no oxidation of mercury under any conditions. All catalysts showed higher mercury oxidation without ammonia, consistent with full-scale measurements. After exposure to flue gas for 2,200 hours, some of the catalysts showed reduced levels of mercury oxidation relative to the initial levels of oxidation. A model of Hg oxidation across SCRs was formulated based on full-scale data. The model took into account the effects of temperature, space velocity, catalyst type and HCl concentration in the flue gas.

  15. Comparing Online Community Structure of Patients of Chronic Diseases

    E-Print Network [OSTI]

    Maddali, Hanuma Teja; Margolis, Peter

    2015-01-01

    In this paper we compare the social network structure of people talking about Crohn's disease, Cystic Fibrosis, and Type 1 diabetes on Facebook and Twitter. We find that the Crohn's community's contributors are most emotional on Facebook and Twitter and most negative on Twitter, while the T1D community's communication network structure is most cohesive.

  16. BIODIVERSITY Comparing latitudinal and upstream

    E-Print Network [OSTI]

    García-Berthou, Emili

    BIODIVERSITY RESEARCH Comparing latitudinal and upstream­ downstream gradients: life history traits holbrooki) along latitudinal and upstream­downstream river gradients and to assess the effects of age° of latitude in the Mediterranean region and seven sites along the upstream­downstream gradient in three

  17. Comparative Genomics of Mycobacterium Tuberculosis

    E-Print Network [OSTI]

    Brutlag, Doug

    Comparative Genomics of Mycobacterium Tuberculosis #12;My Questions · What is TB ­ What in the literature. · Emphasize that genomics techniques are not limited to hereditary diseases. #12;Methods · Deciphering the biology of Mycobacterium Tuberculosis from the complete genome sequence, Stuart Cole et al

  18. Innovative Financing Solutions: Finding Money for Your Energy Efficiency

    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 RankADVANCED MANUFACTURING OFFICE INDUSTRIAL TECHNICAL ASSISTANCEPueblo, New Mexico | DepartmentDepartment

  19. EA-1606: 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:FinancingPetroleum Based| Department8,DepartmentFinal Environmental Assessment EA-1606:

  20. EA-1617: 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:FinancingPetroleum Based| Department8,DepartmentFinal EnvironmentalFinal

  1. EA-1628: 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:FinancingPetroleum Based| Department8,DepartmentFinal EnvironmentalFinalMitigation Action

  2. EA-1640: 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:FinancingPetroleum Based| Department8,DepartmentFinal EnvironmentalFinalMitigation1:Impact |

  3. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN | Department

  4. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN | DepartmentEA-1673:7:

  5. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN

  6. EA-1732: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:

  7. EA-1733: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe, LA |

  8. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe,:

  9. EA-1775: 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe,:Department

  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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault, MN8:Monroe,:Department6:

  11. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault,

  12. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault,Deliverables | Department

  13. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault,Deliverables | Department2:4:

  14. 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:FinancingPetroleum Based| Department8,DepartmentFinalin Fairbault,Deliverables

  15. EA-1796: 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:FinancingPetroleum Based| Department8,DepartmentFinalin

  16. 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartment of Energy 6:

  17. 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartment of Energy

  18. 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartment of EnergyFinal

  19. 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartment of

  20. 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartment

  1. EA-1828: 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartmentSaginaw, MI | Department

  2. EA-1829: 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartmentSaginaw, MI |

  3. 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartmentSaginaw,

  4. EA-1851: 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartmentSaginaw,Energy 9:

  5. 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartmentSaginaw,Energy 9:2:

  6. EA-1855: 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:FinancingPetroleum Based| Department8,DepartmentFinalinDepartmentSaginaw,Energy

  7. EA-1858: 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:FinancingPetroleum Based|Department of Energy 8: DOE Notice of Availability and Notice

  8. 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:FinancingPetroleum Based|Department of Energy 8: DOE Notice of AvailabilityFinal

  9. 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:FinancingPetroleum Based|Department of Energy 8: DOE Notice of

  10. 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:FinancingPetroleum Based|Department of Energy 8: DOE Notice ofFinal Environmental

  11. 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:FinancingPetroleum Based|Department of Energy 8: DOE Notice ofFinal

  12. EA-1886: 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:FinancingPetroleum Based|Department of Energy 8: DOE NoticeFinal Environmental

  13. EA-1890: 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:FinancingPetroleum Based|Department of Energy 8: DOE NoticeFinal

  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:FinancingPetroleum Based|Department of Energy 8: DOE NoticeFinalof

  15. EA-1901: 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:FinancingPetroleum Based|Department of Energy 8: DOE NoticeFinalofDepartment

  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:FinancingPetroleum Based|Department of Energy 8: DOEFinding of No Significant

  17. 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:FinancingPetroleum Based|Department of Energy 8: DOEFinding of No

  18. EA-1912: 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:FinancingPetroleum Based|Department of Energy 8: DOEFinding of NoDraft Environmental

  19. 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:FinancingPetroleum Based|Department of Energy 8: DOEFinding of NoDraftFinal

  20. 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:FinancingPetroleum Based|Department of Energy 8: DOEFinding ofof PotentialFinal