Sample records for unknown keywords dataset

  1. Enter Keyword(s) Today's Ecology Top

    E-Print Network [OSTI]

    Enter Keyword(s) Today's Ecology Top News OMG's Business Ecology Initiative BEI Reaches 250 Member Advertisement Ecology Topics Botany Climate Research Ecology Environment Environmental Microbiology Environmental Monitoring Environmental Research Fisheries Research Marine Biology Meteorology Molecular Ecology

  2. MATERIALS ENGINEERING KEYWORDS: beryllium, stainless

    E-Print Network [OSTI]

    Abdou, Mohamed

    MATERIALS ENGINEERING KEYWORDS: beryllium, stainless steel, heat conductance EXPERIMENTAL SURFACES SUBJECTED TO NONUNIFORM THERMAL DEFORMATIONS ROBERT DEAN ABELSON and MOHAMED A. ABDOU* University of California, Los Angeles Mechanical and Aerospace Engineering Department 43-133 Engineering IV, Box 951597

  3. Keyword Search and Oblivious Pseudorandom Functions

    E-Print Network [OSTI]

    Singh, Jaswinder Pal

    interest. Keywords: Secure keyword search, oblivious pseudorandom functions, private information retrieval, secure two-party protocols, privacy-preserving protocols 1 Introduction Keyword search (KS and receive the records associated with these keywords. A natural question in the area of secure computation

  4. Keyword Search and Oblivious Pseudorandom Functions

    E-Print Network [OSTI]

    Ishai, Yuval

    , as a corollary, give improved constructions of OPRFs that may be of inde­ pendent interest. Keywords: Secure keyword search, oblivious pseudorandom functions, private information retrieval, secure two the records associated with these keywords. A natural question in the area of secure computation is the design

  5. The SKA and the Unknown Unknowns

    E-Print Network [OSTI]

    Wilkinson, Peter

    2015-01-01T23:59:59.000Z

    As new scientists and engineers join the SKA project and as the pressures come on to maintain costs within a chosen envelope it is worth restating and updating the rationale for the 'Exploration of the Unknown' (EoU). Maintaining an EoU philosophy will prove a vital ingredient for realizing the SKA's discovery potential. Since people make the discoveries enabled by technology a further axis in capability parameter space, the'human bandwidth' is emphasised. Using the morphological approach pioneered by Zwicky, a currently unexploited region of observational parameter space can be identified viz: time variable spectral patterns on all spectral and angular scales, one interesting example would be 'spectral transients'. We should be prepared to build up to 10 percent less collecting area for a given overall budget in order to enhance the ways in which SKA1 can be flexibly utilized.

  6. FISSION REACTORS KEYWORDS: core-barrel vibra-

    E-Print Network [OSTI]

    Demazière, Christophe

    FISSION REACTORS KEYWORDS: core-barrel vibra- tions, in-core neutron noise, shell- mode vibrations CALCULATION OF THE NEUTRON NOISE INDUCED BY SHELL-MODE CORE-BARREL VIBRATIONS IN A 1-D, TWO-GROUP, TWO-REGION SLAB REACTOR MODEL CARL SUNDE,* CHRISTOPHE DEMAZI?RE, and IMRE PÁZSIT Chalmers University of Technology

  7. Multi-Keyword Sponsored Search Peerapong Dhangwatnotai

    E-Print Network [OSTI]

    Sandholm, Tuomas W.

    keywords when we discuss search advertising with multiple search terms. When a user enters a search term search engines' mechanism for allocating im- pressions generated from different search terms. This mech- anism is equivalent to running an independent GSP auc- tion for each search term only when the number

  8. REACTOR SAFETY KEYWORDS: best estimate plus

    E-Print Network [OSTI]

    Hoppe, Fred M.

    REACTOR SAFETY KEYWORDS: best estimate plus uncertainty analysis, epistemic error and aleatory phe- nomena that underlie the safety analyses. The use of BE codes within the reactor technology in advance and that result from a variety of operating conditions or states. These arise because the reactor

  9. HEGIS CLASSIFICATIONS (THIS DOCUMENT IS KEYWORD SEARCHABLE

    E-Print Network [OSTI]

    Segraves, Kari A.

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

  10. GIS keyword | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489InformationFrenchtown, NewG2 EnergyGIS keyword Home >

  11. Unknown: Multifocal scalp hair loss

    E-Print Network [OSTI]

    Shamsadini, Sadollah; Esfandiarpoor, Iraj; Zeinali, Hamid; Kalantari, Behjat; Ebrahimi, Hoseiali

    2006-01-01T23:59:59.000Z

    Unknown: Multifocal scalp hair loss Sadllah Shamsadini 1 ,four patches of scalp hair loss. What is your diagnosis?

  12. Rapid automatic keyword extraction for information retrieval and analysis

    DOE Patents [OSTI]

    Rose, Stuart J (Richland, WA); Cowley,; Wendy E (Richland, WA); Crow, Vernon L (Richland, WA); Cramer, Nicholas O (Richland, WA)

    2012-03-06T23:59:59.000Z

    Methods and systems for rapid automatic keyword extraction for information retrieval and analysis. Embodiments can include parsing words in an individual document by delimiters, stop words, or both in order to identify candidate keywords. Word scores for each word within the candidate keywords are then calculated based on a function of co-occurrence degree, co-occurrence frequency, or both. Based on a function of the word scores for words within the candidate keyword, a keyword score is calculated for each of the candidate keywords. A portion of the candidate keywords are then extracted as keywords based, at least in part, on the candidate keywords having the highest keyword scores.

  13. UNKNOWN

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group currentBradleyTableSelling7 AugustAFRICAN3uj: ;;IDEC. i'

  14. UNKNOWN

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group currentBradleyTableSelling7 AugustAFRICAN3uj: ;;IDEC. i'Journal of

  15. UNKNOWN

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group currentBradleyTableSelling7 AugustAFRICAN3uj: ;;IDEC. i'Journal ofDOI:

  16. Unknown

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

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

  17. Unknown

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

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

  18. Unknown

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

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

  19. Unknown

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

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

  20. Unknown

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

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

  1. Distributed Information Retrieval using Keyword Auctions Djoerd Hiemstra

    E-Print Network [OSTI]

    Hiemstra, Djoerd

    , and proposes solutions based on keyword auctions. 1 Introduction After the burst of the dot-com bubble

  2. GPS RINEX Files - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author University of...

  3. Surprise Valley water geochmical data - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author Lawrence...

  4. Welcome - OpenEI Datasets

    Open Energy Info (EERE)

    Search for a topic or click on a statistic to dive into our datasets. This is a featured section Placeholder OpenEI Datasets statistics 1k datasets 2 organizations 0 related items...

  5. Organizations - OpenEI Datasets

    Open Energy Info (EERE)

    ernateenergypromotioncentre Alternate Energy Promotion Centre 1 Dataset View Alternate Energy Promotion Centre alternativefuelsdatacenter Alternative Fuels Data Center 1...

  6. Authorized Private Keyword Search over Encrypted Data in Cloud Computing

    E-Print Network [OSTI]

    Hou, Y. Thomas

    Authorized Private Keyword Search over Encrypted Data in Cloud Computing Ming Li, Shucheng Yu, Ning,ncao,wjlou}@ece.wpi.edu Dept. of CS, University of Arkansas at Little Rock, email: sxyu1@ualr.edu Abstract--In cloud computing In recent years, cloud computing is gaining much mo- mentum in the IT industry. Especially, we have seen

  7. Fuzzy Keyword Search over Encrypted Data in Cloud Computing

    E-Print Network [OSTI]

    Hou, Y. Thomas

    Fuzzy Keyword Search over Encrypted Data in Cloud Computing Jin Li, Qian Wang, Cong Wang, Ning Cao}@ece.wpi.edu Abstract--As Cloud Computing becomes prevalent, more and more sensitive information are being centralized in Cloud Computing as it greatly affects system usability, rendering user searching experiences very

  8. Indexing and Keyword Search to Ease Navigation in Lecture Videos

    E-Print Network [OSTI]

    Subhlok, Jaspal

    Indexing and Keyword Search to Ease Navigation in Lecture Videos Tayfun Tuna, Jaspal Subhlok@uh.edu, shah@cs.uh.edu Abstract----Lecture videos have been commonly used to supplement in-class teaching and for distance learning. Videos recorded during in-class teaching and made accessible online are a versatile

  9. Buildings Performance Database - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    data. The platform enables users to perform statistical analysis on an anonymous dataset of tens of thousands of commercial and residential buildings from across the country....

  10. Property:OpenEI/Tool/Keyword | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with form History Facebook icon Twitter iconNumOfPlants Jump to:Tool/Keyword Jump

  11. Massive Datasets in Astronomy

    E-Print Network [OSTI]

    Robert J. Brunner; S. George Djorgovski; Thomas A. Prince; Alex S. Szalay

    2001-06-26T23:59:59.000Z

    Astronomy has a long history of acquiring, systematizing, and interpreting large quantities of data. Starting from the earliest sky atlases through the first major photographic sky surveys of the 20th century, this tradition is continuing today, and at an ever increasing rate. Like many other fields, astronomy has become a very data-rich science, driven by the advances in telescope, detector, and computer technology. Numerous large digital sky surveys and archives already exist, with information content measured in multiple Terabytes, and even larger, multi-Petabyte data sets are on the horizon. Systematic observations of the sky, over a range of wavelengths, are becoming the primary source of astronomical data. Numerical simulations are also producing comparable volumes of information. Data mining promises to both make the scientific utilization of these data sets more effective and more complete, and to open completely new avenues of astronomical research. Technological problems range from the issues of database design and federation, to data mining and advanced visualization, leading to a new toolkit for astronomical research. This is similar to challenges encountered in other data-intensive fields today. These advances are now being organized through a concept of the Virtual Observatories, federations of data archives and services representing a new information infrastructure for astronomy of the 21st century. In this article, we provide an overview of some of the major datasets in astronomy, discuss different techniques used for archiving data, and conclude with a discussion of the future of massive datasets in astronomy.

  12. Brady's Geothermal Field Seismic Network Metadata - Datasets...

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author University of...

  13. PoroTomo Subtask 3.5 GPS Data Analysis - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author University of...

  14. Porotomo Subtask 3.4 Raw Data - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author University of...

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

    E-Print Network [OSTI]

    Yanikoglu, Berrin

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

  16. IMPROVING MULTI-LATTICE ALIGNMENT BASED SPOKEN KEYWORD SPOTTING Hui Lin, Alex Stupakov and Jeff Bilmes

    E-Print Network [OSTI]

    Noble, William Stafford

    , such as when- ever it is inconvenient, unsafe, or impossible for the user to enter a search query using and the utterance being searched is beneficial for spoken keyword spotting. In this paper, we introduce several im- prove the performance of spoken keyword spotting. Index Terms-- Spoken keyword spotting, lattice

  17. Defining the Problem Known Environment Unknown Environment Improvements Reinforcement Learning

    E-Print Network [OSTI]

    Kjellstrm, Hedvig

    Defining the Problem Known Environment Unknown Environment Improvements Reinforcement Learning Beloningsbaserad Inlarning Defining the Problem Known Environment Unknown Environment Improvements 1 Defining the Problem Framework Role of Reward Simplifying Assumptions Central Concepts 2 Known Environment Bellmans

  18. Clearing a Pile of Unknown Objects using Interactive Perception

    E-Print Network [OSTI]

    Katz, Dov

    Clearing a Pile of Unknown Objects using Interactive Perception Dov Katz, Moslem Kazemi, J. Andrew of clearing a pile of unknown objects using an autonomous interactive perception approach. Our robot hypothesizes the boundaries of objects in a pile of unknown objects (object segmentation) and verifies its

  19. 2012-2013 Keywords: Routing and spectrum allocation (RSA), flexible optical networks

    E-Print Network [OSTI]

    Varvarigo, Emmanouel "Manos"

    , "Conserving Transmission Power in Wireless Ad Hoc Networks" #12;), flexible optical networks WDM (FWDM) . (RSA) (RWA). FWDM Matlab. 2: Keywords: Routing and spectrum allocation (RSA), flexible optical networks

  20. KEYWORDS: geospatial clustering, web service, Web GIS, spatial data mining, clustering 1 INTRODUCTION

    E-Print Network [OSTI]

    1 KEYWORDS: geospatial clustering, web service, Web GIS, spatial data mining, clustering 1 in disease surveillance, spatial epidemiology, population genetics, landscape ecology, crime analysis

  1. Smart Marketing or Bait & Switch? Competitors' Brands as Keywords in Online Advertising

    E-Print Network [OSTI]

    Jansen, James

    keyword advertising works as follows. When a searcher enters a query into a search engine, all or part College, PA 16803, USA jjansen@acm.org ABSTRACT The business models of major Internet search engines depend on online advertising, primarily in the form of search engine keyword advertising. In recent years

  2. Visualization Fusion: Hurricane Isabel Dataset Naeem Shareef

    E-Print Network [OSTI]

    Crawfis, Roger

    Visualization Fusion: Hurricane Isabel Dataset Ming Jiang Naeem Shareef Caixia Zhang Roger Crawfis in developing visualization techniques for the Hurricane Isabel dataset is to engender better understand- ing of the underlying physical phenomenon. We want the visualization to produce novel insights into how a hurricane

  3. Multi-unit Auctions with Unknown Supply [Extended Abstract

    E-Print Network [OSTI]

    Saberi, Amin

    Multi-unit Auctions with Unknown Supply [Extended Abstract] Mohammad Mahdian Microsoft Research Redmond, WA, USA mahdian@microsoft.com Amin Saberi Stanford University Stanford, CA, USA saberi

  4. Defining the Problem Known Environment Unknown Environment Improvements Reinforcement Learning

    E-Print Network [OSTI]

    Kjellstrm, Hedvig

    Defining the Problem Known Environment Unknown Environment Improvements Reinforcement Learning Beloningsbaserad Inlarning #12;Defining the Problem Known Environment Unknown Environment Improvements 1 Defining the Problem Framework Role of Reward Simplifying Assumptions Central Concepts 2 Known Environment Bellman

  5. Defining the Problem Known Environment Unknown Environment Improvements Reinforcement Learning

    E-Print Network [OSTI]

    Kjellstrm, Hedvig

    Defining the Problem Known Environment Unknown Environment Improvements Reinforcement Learning Beloningsbaserad Inlarning #12;Defining the Problem Known Environment Unknown Environment Improvements 1 Defining the Problem Framework Role of Reward Simplifying Assumptions Central Concepts 2 Known Environment Bellmans

  6. Gravity Survey of the Carson Sink - Data and Maps - Datasets...

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author University of...

  7. A new bed elevation dataset for Greenland

    E-Print Network [OSTI]

    2013-01-01T23:59:59.000Z

    and bed data set for the Greenland ice sheet 1. Measure-bed elevation dataset for Greenland J. L. Bamber 1 , J. A.face mass balance of the Greenland ice sheet revealed by

  8. Exploiting Parallelism to Accelerate Keyword Search On Deep-web Sources

    E-Print Network [OSTI]

    Agrawal, Gagan

    Exploiting Parallelism to Accelerate Keyword Search On Deep-web Sources Tantan Liu Fan Wang Gagan,wangfa,agrawal}@cse.ohio-state.edu Abstract. Increasingly, biological data is being shared over the deep web. Many biological queries can only that exploits parallelization for accelerating search over multiple deep web data sources. An interactive, two

  9. An algorithm for recognising the exterior square of a matrix Keywords: matrix, exterior square, algorithm

    E-Print Network [OSTI]

    Greenhill, Catherine

    vector space, with respect to a canonical basis, is called the exterior square of X. Note that all vectorAn algorithm for recognising the exterior square of a matrix Keywords: matrix, exterior square the exterior square of a matrix. The approach involves manipulation of the equations which relate the entries

  10. Salt marsh geomorphology: Physical and ecological effects on landform Keywords: salt marsh geomorphology; AGU Chapman Conference

    E-Print Network [OSTI]

    Fagherazzi, Sergio

    Editorial Salt marsh geomorphology: Physical and ecological effects on landform Keywords: salt marsh geomorphology; AGU Chapman Conference Evidence that the three-dimensional structure of salt marsh, and the ratio of marsh edge:marsh interior have all been shown to affect the distribution and density of salt

  11. Spoken Keyword Spotting via Multi-Lattice Alignment Hui Lin, Alex Stupakov and Jeff Bilmes

    E-Print Network [OSTI]

    Bilmes, Jeff

    , or impossible for the user to enter a search query using a standard keyboard. For example, speech queries and a second phone lattice repre- senting a long utterance needing to be searched. We implement this joint representation. Index Terms: speech lattice, keyword spotting, graphical mod- els, lattice alignment 1

  12. Computer-Assisted Keyword and Document Set Discovery from Unstructured Text

    E-Print Network [OSTI]

    . 2 Reframing the Statistical Problem Define a reference set, R, as a set of documents, each of which keywords in ad hoc ways, given the lack of formal statistical methods to help. Paradoxically, this often language to evade authorities, seek political advantage, or express creativity; generic web searching; e

  13. Privacy-Preserving Keyword Search Over Encrypted Data in Cloud Computing

    E-Print Network [OSTI]

    Hou, Y. Thomas

    Privacy-Preserving Keyword Search Over Encrypted Data in Cloud Computing Wenhai Sun, Wenjing Lou, Y computing era, because many believe that sensitive data has to be encrypted before outsourcing to the cloud@mail.xidian.edu.cn S. Jajodia et al. (eds.), Secure Cloud Computing, DOI 10.1007/978-1-4614-9278-8__9, Springer

  14. System for identifying known materials within a mixture of unknowns

    DOE Patents [OSTI]

    Wagner, J.S.

    1999-07-20T23:59:59.000Z

    One or both of two methods and systems are used to determine concentration of a known material in an unknown mixture on the basis of the measured interaction of electromagnetic waves upon the mixture. One technique is to utilize a multivariate analysis patch technique to develop a library of optimized patches of spectral signatures of known materials containing only those pixels most descriptive of the known materials by an evolutionary algorithm. Identity and concentration of the known materials within the unknown mixture is then determined by minimizing the residuals between the measurements from the library of optimized patches and the measurements from the same pixels from the unknown mixture. Another technique is to train a neural network by the genetic algorithm to determine the identity and concentration of known materials in the unknown mixture. The two techniques may be combined into an expert system providing cross checks for accuracy. 37 figs.

  15. Method for identifying known materials within a mixture of unknowns

    DOE Patents [OSTI]

    Wagner, John S. (Albuquerque, NM)

    2000-01-01T23:59:59.000Z

    One or both of two methods and systems are used to determine concentration of a known material in an unknown mixture on the basis of the measured interaction of electromagnetic waves upon the mixture. One technique is to utilize a multivariate analysis patch technique to develop a library of optimized patches of spectral signatures of known materials containing only those pixels most descriptive of the known materials by an evolutionary algorithm. Identity and concentration of the known materials within the unknown mixture is then determined by minimizing the residuals between the measurements from the library of optimized patches and the measurements from the same pixels from the unknown mixture. Another technique is to train a neural network by the genetic algorithm to determine the identity and concentration of known materials in the unknown mixture. The two techniques may be combined into an expert system providing cross checks for accuracy.

  16. System for identifying known materials within a mixture of unknowns

    DOE Patents [OSTI]

    Wagner, John S. (Albuquerque, NM)

    1999-01-01T23:59:59.000Z

    One or both of two methods and systems are used to determine concentration of a known material in an unknown mixture on the basis of the measured interaction of electromagnetic waves upon the mixture. One technique is to utilize a multivariate analysis patch technique to develop a library of optimized patches of spectral signatures of known materials containing only those pixels most descriptive of the known materials by an evolutionary algorithm. Identity and concentration of the known materials within the unknown mixture is then determined by minimizing the residuals between the measurements from the library of optimized patches and the measurements from the same pixels from the unknown mixture. Another technique is to train a neural network by the genetic algorithm to determine the identity and concentration of known materials in the unknown mixture. The two techniques may be combined into an expert system providing cross checks for accuracy.

  17. U.S. Life Cycle Inventory Database Dataset Additions -Type / Category Dataset Name

    E-Print Network [OSTI]

    U.S. Life Cycle Inventory Database Dataset Additions - Type / Category Dataset Name Chemical Manufacturing Polylactide Biopolymer Resin, at plant Chemical Manufacturing Recycled Postconsumer HDPE Pellet) Chemical Manufacturing Soy biodiesel, production, at plant Soy oil, refined, at plant Soy-based polyol

  18. Model-Based Testing with a General Purpose Keyword-Driven Test Automation Tuomas Pajunen, Tommi Takala, and Mika Katara

    E-Print Network [OSTI]

    Memon, Atif M.

    . The tests are built as sequences of keywords, and keywords are automatically translated into concrete lowModel-Based Testing with a General Purpose Keyword-Driven Test Automation Framework Tuomas Pajunen mika.katara@tut.fi Abstract--Model-based testing (MBT) is a relatively new approach to software testing

  19. Stochastic Online Learning for Network Optimization under Unknown Random Weights

    E-Print Network [OSTI]

    Zhao, Qing

    the results to general network optimization problems (e.g., minimum spanning tree and dominating set minimum spanning tree and minimum (connected) dominating set. Consider a communication network where1 Stochastic Online Learning for Network Optimization under Unknown Random Weights Keqin Liu

  20. Electrical Resistivity Imaging for Unknown Bridge Foundation Depth Determination

    E-Print Network [OSTI]

    Arjwech, Rungroj

    2012-02-14T23:59:59.000Z

    and spread footings. Both known to unknown foundations were investigated. The geotechnical test site is used as an experimental site for 2D and 3D ERI. The data acquisition is carried out along 2D profile with a linear array in the dipole-dipole configuration...

  1. Overall, in this case, Prob(happy, unknown employment)

    E-Print Network [OSTI]

    Aerts, Diederik

    Overall, in this case, Prob(happy, unknown employment) = |M U(t) |cemployedl|2 Prob(employed) + |M U(t) |c employed l|2 Prob( employed). It should be clear that in such a case" reasoner is still uncertain about whether she will be employed. The crucial difference is that in this case

  2. Photometric Stereo with General, Unknown Lighting Ronen Basri

    E-Print Network [OSTI]

    Jacobs, David

    Photometric Stereo with General, Unknown Lighting Ronen Basri£ David Jacobs Dept. of Computer properties of an object using multiple images taken with a fixed viewpoint and variable lighting conditions. This work has primarily relied on the presence of a single point source of light in each image. In this pa

  3. Remote implementations of partially unknown quantum operations of multiqubits

    E-Print Network [OSTI]

    An Min Wang

    2006-10-13T23:59:59.000Z

    We propose and prove the protocol of remote implementations of partially unknown quantum operations of multiqubits belonging to the restricted sets. Moreover, we obtain the general and explicit forms of restricted sets and present evidence of their uniqueness and optimization. In addition, our protocol has universal recovery operations that can enhance the power of remote implementations of quantum operations.

  4. Iterative blind separation of Gaussian data of unknown order

    E-Print Network [OSTI]

    Mueller, Amy, 1980-

    2003-01-01T23:59:59.000Z

    A method for blind separation of noisy jointly Gaussian multivariate signals X is presented, where X = AP + N, X is an observed set of vectors, A is the mixing matrix, P is the unknown signal matrix, and N is white noise. ...

  5. NREL EFM DATA: Disaggregated Residential Load Cost Data - Datasets...

    Open Energy Info (EERE)

    Open Data Catalog Dataset Activity Stream NREL EFM DATA: Disaggregated Residential Load Cost Data The following data-set is for a benchmark residential home for all TMY3 locations...

  6. Interferometric distillation and determination of unknown two-qubit entanglement

    E-Print Network [OSTI]

    S. -S. B. Lee; H. -S. Sim

    2010-06-08T23:59:59.000Z

    We propose a scheme for both distilling and quantifying entanglement, applicable to individual copies of an arbitrary unknown two-qubit state. It is realized in a usual two-qubit interferometry with local filtering. Proper filtering operation for the maximal distillation of the state is achieved, by erasing single-qubit interference, and then the concurrence of the state is determined directly from the visibilities of two-qubit interference. We compare the scheme with full state tomography.

  7. Form:Dataset | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489Information HydroFontana,dataset name below to add to the

  8. Froissart Bound on Inelastic Cross Section Without Unknown Constants

    E-Print Network [OSTI]

    Martin, Andr

    2015-01-01T23:59:59.000Z

    Assuming that axiomatic local field theory results hold for hadron scattering, Andr\\'e Martin and S. M. Roy recently obtained absolute bounds on the D-wave below threshold for pion-pion scattering and thereby determined the scale of the logarithm in the Froissart bound on total cross sections in terms of pion mass only. Previously, Martin proved a rigorous upper bound on the inelastic cross-section $\\sigma_{inel}$ which is one-fourth of the corresponding upper bound on $\\sigma_{tot}$, and Wu, Martin,Roy and Singh improved the bound by adding the constraint of a given $\\sigma_{tot}$. Here we use unitarity and analyticity to determine, without any high energy approximation, upper bounds on energy averaged inelastic cross sections in terms of low energy data in the crossed channel. These are Froissart-type bounds without any unknown coefficient or unknown scale factors and can be tested experimentally. Alternatively, their asymptotic forms,together with the Martin-Roy absolute bounds on pion-pion D-waves below t...

  9. Data series subtraction with unknown and unmodeled background noise

    E-Print Network [OSTI]

    Stefano Vitale; Giuseppe Congedo; Rita Dolesi; Valerio Ferroni; Mauro Hueller; Daniele Vetrugno; William Joseph Weber; Heather Audley; Karsten Danzmann; Ingo Diepholz; Martin Hewitson; Natalia Korsakova; Luigi Ferraioli; Ferran Gibert; Nikolaos Karnesis; Miquel Nofrarias; Henri Inchauspe; Eric Plagnol; Oliver Jennrich; Paul W. McNamara; Michele Armano; James Ira Thorpe; Peter Wass

    2014-08-04T23:59:59.000Z

    LISA Pathfinder (LPF), ESA's precursor mission to a gravitational wave observatory, will measure the degree to which two test-masses can be put into free-fall, aiming to demonstrate a residual relative acceleration with a power spectral density (PSD) below 30 fm/s$^2$/Hz$^{1/2}$ around 1 mHz. In LPF data analysis, the measured relative acceleration data series must be fit to other various measured time series data. This fitting is required in different experiments, from system identification of the test mass and satellite dynamics to the subtraction of noise contributions from measured known disturbances. In all cases, the background noise, described by the PSD of the fit residuals, is expected to be coloured, requiring that we perform such fits in the frequency domain. This PSD is unknown {\\it a priori}, and a high accuracy estimate of this residual acceleration noise is an essential output of our analysis. In this paper we present a fitting method based on Bayesian parameter estimation with an unknown frequency-dependent background noise. The method uses noise marginalisation in connection with averaged Welch's periodograms to achieve unbiased parameter estimation, together with a consistent, non-parametric estimate of the residual PSD. Additionally, we find that the method is equivalent to some implementations of iteratively re-weighted least-squares fitting. We have tested the method both on simulated data of known PSD, and to analyze differential acceleration from several experiments with the LISA Pathfinder end-to-end mission simulator.

  10. Remote implementation of partially unknown operations and its entanglement costs

    E-Print Network [OSTI]

    Shu-Hui Luo; An-Min Wang

    2013-01-24T23:59:59.000Z

    We present the generalized version of Wang's protocol[A.M.Wang, Phys.Rev.A 74,032317 (2006)] for the remote implementation(sometimes referred to as quantum remote control) of partially unknown quantum operations. The protocol only requires no more than half of the entanglements used in Bidirectional Quantum State Teleportation. We also propose a protocol for another form of quantum remote control. It can remotely implement a unitary operation which is a combination of the projective representations of a group. Moreover, we prove that the Schmidt rank of the entanglements cannot not be less than the number of controlled parameters of the operations, which for the first time gives a lower bound on entanglement costs in remote implementation of quantum operations.

  11. Optimal transfer of an unknown state via a bipartite operation

    E-Print Network [OSTI]

    Yang Liu; Yu Guo; D. L. Zhou

    2012-09-11T23:59:59.000Z

    A fundamental task in quantum information science is to transfer an unknown state from particle $A$ to particle $B$ (often in remote space locations) by using a bipartite quantum operation $\\mathcal{E}^{AB}$. We suggest the power of $\\mathcal{E}^{AB}$ for quantum state transfer (QST) to be the maximal average probability of QST over the initial states of particle $B$ and the identifications of the state vectors between $A$ and $B$. We find the QST power of a bipartite quantum operations satisfies four desired properties between two $d$-dimensional Hilbert spaces. When $A$ and $B$ are qubits, the analytical expressions of the QST power is given. In particular, we obtain the exact results of the QST power for a general two-qubit unitary transformation.

  12. Simulated NMIS Imaging Data for an Unknown Object

    SciTech Connect (OSTI)

    Walker, Mark E [ORNL; Mihalczo, John T [ORNL

    2012-04-01T23:59:59.000Z

    This report presents simulated Nuclear Materials Identification System (NMIS) imaging data for an unclassified object, whose characteristics are initially unknown to the reader. This data will be used to test various analysis capabilities and was created with a simple deterministic ray-tracing algorithm. NMIS is a time-dependent coincidence counting system that is used to characterize both fissile and non-fissile materials undergoing nondestructive assay. NMIS characterizes materials by interrogating them with neutrons, either from an associated-particle deuterium-tritium (DT) neutron generator, which produces a time and directionally tagged monoenergetic beam of 14.1 MeV neutrons, or a time-tagged spontaneous fission source in an ionization chamber.

  13. World Net Nuclear Electric Power Generation, 1980-2007 - Datasets...

    Open Energy Info (EERE)

    U.S. Energy Information ... World Net Nuclear Electric ... Dataset Activity Stream World Net Nuclear Electric Power Generation, 1980-2007 International data showing world net...

  14. Framework for Interactive Parallel Dataset Analysis on the Grid

    SciTech Connect (OSTI)

    Alexander, David A.; Ananthan, Balamurali; /Tech-X Corp.; Johnson, Tony; Serbo, Victor; /SLAC

    2007-01-10T23:59:59.000Z

    We present a framework for use at a typical Grid site to facilitate custom interactive parallel dataset analysis targeting terabyte-scale datasets of the type typically produced by large multi-institutional science experiments. We summarize the needs for interactive analysis and show a prototype solution that satisfies those needs. The solution consists of desktop client tool and a set of Web Services that allow scientists to sign onto a Grid site, compose analysis script code to carry out physics analysis on datasets, distribute the code and datasets to worker nodes, collect the results back to the client, and to construct professional-quality visualizations of the results.

  15. Distributed and Parallel Databases An Efficient Privacy-Preserving Multi-Keyword Search over Encrypted Cloud Data with

    E-Print Network [OSTI]

    Yanikoglu, Berrin

    -Preserving Multi-Keyword Search over Encrypted Cloud Data with Ranking Article Type: SI: Secure and Privacy. Provided that the security and randomization parameters are appropriately chosen, both search terms security and privacy requirements that essentially disallow linking queries featuring identical search

  16. Version: 6/16/98 Keywords: wavy surface flow, finite element, longwave analysis, weakly-nonlinear analysis

    E-Print Network [OSTI]

    McCready, Mark J.

    Version: 6/16/98 Keywords: wavy surface flow, finite element, longwave analysis, weakly and drag are found, from finite element calculations, to increase as amplitude to approximately the third wavelength problem is solved numerically with a finite element formulation providing qualitative trends

  17. Age correlation of petroleum of unknown source using biological markers

    SciTech Connect (OSTI)

    Moldowan, J.M.; Jacobson, S.R.; Lee, C.Y. (Chevron Oil Field Research Co., Richmond, CA (USA)); Huizinga, B.J. (Chevron Overseas Petroleum, Inc., San Ramon, CA (USA))

    1990-05-01T23:59:59.000Z

    Determination of age constraints on petroleums from unknown sources provides a means of choosing among possible source rock candidates, predicting migration scenarios for oil, and determining the timing of its emplacement in the reservoir. A number of parameters used to assign such age constraints to petroleum have been suggested by geochemists. However, any constraining marker, regardless of age, may not be found in a particular facies because the parent organisms are absent in those sediments. Thus, the presence of a specific age correlation marker may be significant whereas its absence may not. The authors have investigated two markers for their age-correlation significance. Oleanane, a marker related to pentacyclic triterpanes in flowering plants (angiosperms) occurs in many Late Cretaceous or younger rocks and oils, even though angiosperm fossils are known in older rocks. A survey of a sequence of middle to upper Cretaceous rocks from Wyoming provides an example of a Late Cretaceous age for the onset of oleanane. However, a level of uncertainty exists for older Cretaceous rocks where a trace component with many similarities to oleanane (which could in fact be oleanane) can occur. C{sub 30}-steranes (24-n-propylcholestanes) have been used as a widely occurring marker for marine organic input to petroleum. A recent report postulates the origin of C{sub 30}-steranes from marine Sarcinochrysidales order of Chrysophycase (golden brown algae). Although the fossil record of these algae has not been recorded, their sample base indicates that C{sub 30} steranes, and therefore their parent organisms, originate in the Middle Ordovician.

  18. PoroTomo Subtask 3.4 Analysis of existing InSAR data - Datasets...

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author University of...

  19. NREL EFM DATA: Disaggregated Residential Load Cost Data - Datasets...

    Open Energy Info (EERE)

    NREL EFM DATA: Disaggregated Residential Load Cost Data The following data-set is for a benchmark residential home for all TMY3 locations across all utilities in the US. The data...

  20. Development of Regional Wind Resource and Wind Plant Output Datasets...

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

    50-47676 March 2010 Development of Regional Wind Resource and Wind Plant Output Datasets Final Subcontract Report 15 October 2007 - 15 March 2009 3TIER Seattle, Washington National...

  1. State Energy Data System (SEDS) Complete Dataset through 2009...

    Open Energy Info (EERE)

    State Energy Data System (SEDS) Complete Dataset through 2009 The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a...

  2. Determining Mountaintop Mining Locations in West Virginia Using Elevation Datasets

    E-Print Network [OSTI]

    Rowland, Danny

    2009-11-18T23:59:59.000Z

    Determining Mountaintop Mining Locations in West Virginia Using Elevation Datasets Danny Rowland Haskell Indian Nations University Image from: http://www.colorado.edu/geography/cartpro/cartography2/spring2006/syphers.../projects/westvirginia/whatis.htm Image from: http://washingtonindependent.com/49008/congress-takes-on-mountaintop-mining Mountaintop Mining Operation 2 Elevation datasets: NED & SRTM West Virginia NED SRTM Elevation Change Over ~30 Year Period 20021970s SRTM Subtracted from...

  3. Message Terminating Algorithms for Anonymous Rings of Unknown Israel Cidon \\Lambda and Yuval Shavitt

    E-Print Network [OSTI]

    Shavitt, Yuval

    Message Terminating Algorithms for Anonymous Rings of Unknown Size Israel Cidon \\Lambda and Yuval Abstract We consider a ring of an unknown number of anonymous processors. We focus on message terminating algorithms, i.e., algorithms that terminate when no more messages are present in the system

  4. Quasi-optimal Coverage Algorithm for Simple Robot in an Unknown Environment

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Quasi-optimal Coverage Algorithm for Simple Robot in an Unknown Environment Dominique DUHAUT Lab algorithm to make a quasi-optimal coverage of an unknown environment. Under some hypothesis, we demonstrate that it is possible to build a map of the environment and to cover it, without passing two times in the same space

  5. Source localisation in an unknown reverberant environment using compressive sampling in the

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    case where the Green function of the medium is known [1]. In the case of a reverberant environmentSource localisation in an unknown reverberant environment using compressive sampling a source localisation method dealing with an unknown reverberant environment. The measured acoustic field

  6. Bayesian evidence as a tool for comparing datasets

    E-Print Network [OSTI]

    Phil Marshall; Nutan Rajguru; Anze Slosar

    2007-10-30T23:59:59.000Z

    We introduce a new conservative test for quantifying the consistency of two or more datasets. The test is based on the Bayesian answer to the question, ``How much more probable is it that all my data were generated from the same model system than if each dataset were generated from an independent set of model parameters?''. We make explicit the connection between evidence ratios and the differences in peak chi-squared values, the latter of which are more widely used and more cheaply calculated. Calculating evidence ratios for three cosmological datasets (recent CMB data (WMAP, ACBAR, CBI, VSA), SDSS and the most recent SNe Type 1A data) we find that concordance is favoured and the tightening of constraints on cosmological parameters is indeed justified.

  7. The Wind Integration National Dataset (WIND) toolkit (Presentation)

    SciTech Connect (OSTI)

    Caroline Draxl: NREL

    2014-01-01T23:59:59.000Z

    Regional wind integration studies require detailed wind power output data at many locations to perform simulations of how the power system will operate under high penetration scenarios. The wind datasets that serve as inputs into the study must realistically reflect the ramping characteristics, spatial and temporal correlations, and capacity factors of the simulated wind plants, as well as being time synchronized with available load profiles.As described in this presentation, the WIND Toolkit fulfills these requirements by providing a state-of-the-art national (US) wind resource, power production and forecast dataset.

  8. DECOMPOSITION OF MULTIVARIATE DATASETS WITH STRUCTURE/ORDERING

    E-Print Network [OSTI]

    analysis. However, contrary to Fourier decomposition these new variables are located in frequency as well as location (space, time, wavelength etc). 1 Introduction The maximum autocorrelation factor (MAF) analysisDECOMPOSITION OF MULTIVARIATE DATASETS WITH STRUCTURE/ORDERING OF OBSERVATIONS OR VARIABLES USING

  9. Eastern Renewable Generation Integration Study Solar Dataset (Presentation)

    SciTech Connect (OSTI)

    Hummon, M.

    2014-04-01T23:59:59.000Z

    The National Renewable Energy Laboratory produced solar power production data for the Eastern Renewable Generation Integration Study (ERGIS) including "real time" 5-minute interval data, "four hour ahead forecast" 60-minute interval data, and "day-ahead forecast" 60-minute interval data for the year 2006. This presentation provides a brief overview of the three solar power datasets.

  10. A Multivariate Probabilistic Method for Comparing Two Clinical Datasets

    E-Print Network [OSTI]

    Hauskrecht, Milos

    A Multivariate Probabilistic Method for Comparing Two Clinical Datasets Yuriy Sverchkov yus24@pitt a concise and math- ematically grounded description of multivariate differences between a pair of clinical (ICUs), or within the same ICU during different periods, may show systematically different outcomes

  11. Vision-based guidance and control of a hovering vehicle in unknown, gps-denied environments

    E-Print Network [OSTI]

    Andrews, Gregory

    This paper describes the system architecture and core algorithms for a quadrotor helicopter that uses vision data to navigate an unknown, indoor, GPS-denied environment. Without external sensing, an estimation system that ...

  12. unknown title

    E-Print Network [OSTI]

    Composite fuel tanks lightweight vehicles allowing alternative fuels to be carried onboard plastics autos Composite fuel tanks lightweight vehicles allowing alternative fuels to be carried onboard Alternative fuel vehicles using gaseous material (i.e., compressed natural gas [CNG], hydrogen, etc.) require strong, safe, lightweight tanks to maintain normal vehicle size, weight, and driving ranges. Traditional alternative fuel tanks are made of common grade steel and, over time, the gas can migrate into the metal. This makes the metal brittle, fatiguing it to the point that gas, such as hydrogen, can leak from the tank. 1 Higher quality steel can prevent embrittlement, but can raise the

  13. unknown title

    E-Print Network [OSTI]

    Virtuelle Realitt; Xd Vrml; G. Zachmann; Verhalten Und Animationen; Vorteile Von Xd

    ? Die Spezifikation von VRML ist an einigen Stellen nicht eindeutig ? In X3D przisiert ? X3D hat 100+ Knoten (aufgeteilt in Components / Profiles) ? VRML hat nur 54 Knoten ? X3D hat 3 verschiedene sog. "File Encodings": ? Classic: sieht aus wie VRML; Suffix =.wrl oder.x3dv- Jede Software, die X3D lesen kann, kann (im Prinzip) auch VRML lesen

  14. unknown title

    E-Print Network [OSTI]

    Geoffrey J. Barnes Andrea Litva

    The social impact of land contamination: reflections on the development of a community advocacy and counselling service following the Weston village incident

  15. unknown title

    E-Print Network [OSTI]

    C. Scoglio; J. C. De Oliveira; G. Uhl

    2001-01-01T23:59:59.000Z

    www.elsevier.com/locate/comnet Optimal policy for label switched path setup in MPLS networks q T. Anjali a,*

  16. unknown title

    E-Print Network [OSTI]

    unknown authors

    2012-01-01T23:59:59.000Z

    Graphene coating makes carbon nanotube aerogels superelastic and resistant to fatigue Kyu Hun Kim, Youngseok Oh and M. F. Islam* Lightweight materials that are both highly compressible and resilient under large cyclic strains can be used in a variety of applications 18. Carbon nanotubes offer a

  17. unknown title

    E-Print Network [OSTI]

    unknown authors

    In this study, our main focus is on finding alternative fuel resources and utilizing them to eliminate their negative effects. Because of the limitations of petroleum products, the used engine oils can be used in engine as engine oil after purifying it. Production of gasoline like fuel from used engine oil is involving chemical filtrations and blending process. The GLF is produced from waste engine lubrication oil (WLO) using the pyrolitic distillation method. Firstly, the WLO collected in a tank was particulates removed by a refining process. The refined lubrication oil samples were taken into a reactor and blended with some catalysts, and purified from dust, heavy carbon soot, metal particles, gum-type materials and other impurities. A fuel production system mainly consisting of a seven main parts using are waste oil storage tank, filters, a reactor, oil pump, a product storage tank, thermostats and control panel. The characteristic such as density, viscosity, flash point, heating value, sulphur content and distillation of the GLF are deliberated. The gasoline like fuel can be used in gasoline engine without any problem and increases the engine performance.

  18. unknown title

    E-Print Network [OSTI]

    David C. Kramer; Brent K. Lok; Russ R. Krug

    seen many phases of evolution. As it continues to evolve at an ever-increasing rate, base oil performance is making a larger contribution to finished lubricant performance. Turbine oils are perhaps the most dramatic example because they typically contain over 99 % base oil. Early lubrication began with animal fats and oils and slowly evolved to petroleum-based oils. Many generations of refining processes have since improved on Mother Nature. Early processes such as acid treating and solvent extraction improved the quality of base oils by removing some or most of the worst molecules from the oil. Later processes like hydrotreating, catalytic hydrocracking, catalytic dewaxing, and modern wax hydroisomerization transformed feed molecules into molecules with improved lubricating qualities. Modern wax hydroisomerization, in particular, makes base oils with very low impurities and typically water-white appearance. Now, about one third of all base oils manufactured in North America are of such high quality. Looking to the future, the trend is toward even higher base oil purity, higher viscosity index (V.I.), lower volatility, and longer life. The distinction between heavily processed mineral oils and traditional synthetic oils will continue to blur. The evolution and future of base oil technology will be discussed in more detail in this paper.

  19. unknown title

    E-Print Network [OSTI]

    unknown authors

    The need for used oil conservation, recycling, and ultimate nonpolluting disposal has been a matter of increasing concern since the early 1960s. The oil embargo of 1974, the energy crisis which emerged in 1979, and as much as a tenfold increase in the price of imported crude oil have even more strongly emphasized the need for oil conservation and recycling. The U.S. Environmental Protection Agency (EPA) estimates that the U.S. annually generates approximately 1.O billion gallons of recoverable used oil (Table I). * Approximately 70 million gallons are rerefined as lubricating oils. An estimated 60 million gallons are reprocessed for use as metalworking oils and other industrial oils and an estimated 150 million gallons are sprayed on roads and for other uses. Approximately 500 million gallons are used as fuel, usually mixed with virgin residual and distillate fuels.

  20. unknown title

    E-Print Network [OSTI]

    unknown authors

    2008-01-01T23:59:59.000Z

    is a schematic of the fission theory for formation of planets and major moons. The left column is the

  1. unknown title

    E-Print Network [OSTI]

    Lalmuanpuia Vanchhawng; P. C. Rohmingliana; R. K. Thapa; R. Mishra; B. K. Sahoo; B. Zoliana; Y. S. Mayya

    2011-01-01T23:59:59.000Z

    Radon ( 222 Rn), being a radioactive gas has its parent nucleus originated from 238 U. From 238 U there is a series of 14 decays to form a stable nucleus of 206 Pb. The equilibrium factor in its simple term may be defined as ratio of the amount of progeny nucleus to that of a parent nucleus. Measurement of Equilibrium Factor (F-factor) for radon has been carried out in 24 dwellings in Aizawl City, which were specifically selected according to the site location and materials used for construction of the dwellings. In measuring F-factor for radon we have made use of absorber-mounted nuclear track detectors (LR-115) which selectively register the tracks due to alpha emissions from 214 Po which is the 222 Rn progeny species. This detector is termed as DRPS (direct radon progeny sensor). DRPS is used for estimating the Equilibrium Equivalent Radon Concentration (EERC). The concentration of 222 Rn is measured by using Solid State Nuclear Track Detector (LR-115) mounted in a BARC type twin cup dosimeter. The F-factor for radon is then calculated using the measured EERC and measured concentrations of radon. Our measurement shows the F-factor for radon in Aizawl city is 0.3, which is close to the worldwide value (0.4) for indoor conditions. Key words: DRPS; EERC; equilibrium factor; radon; progeny, SSNTD.

  2. Organic aerosol components observed in Northern Hemispheric datasets from Aerosol Mass Spectrometry

    E-Print Network [OSTI]

    Kroll, Jesse

    In this study we compile and present results from the factor analysis of 43 Aerosol Mass Spectrometer (AMS) datasets (27 of the datasets are reanalyzed in this work). The components from all sites, when taken together, ...

  3. Blind source separation of convolutive mixtures of non circular linearly modulated signals with unknown baud

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Blind source separation of convolutive mixtures of non circular linearly modulated signals addresses the problem of blind separation of convolutive mix- tures of BPSK and circular linearly modulated theoretical statements. Keywords: Blind source separation, Convolutive mixture, Constant Modulus Algorithm

  4. DEVise: Integrated Querying and Visual Exploration of Large Datasets (DEMO ABSTRACT)

    E-Print Network [OSTI]

    Liblit, Ben

    DEVise: Integrated Querying and Visual Exploration of Large Datasets (DEMO ABSTRACT) M. Livny, R of large tabular datasets (possibly containing or referencing multi­ media objects) from several sources meta­data summarizing the entire dataset, to large subsets of the actual data, to individual data

  5. Wind Integration Datasets from the National Renewable Energy Laboratory (NREL)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Wind Integration Datasets provide time-series wind data for 2004, 2005, and 2006. They are intended to be used by energy professionals such as transmission planners, utility planners, project developers, and university researchers, helping them to perform comparisons of sites and estimate power production from hypothetical wind plants. NREL cautions that the information from modeled data may not match wind resource information shown on NREL;s state wind maps as they were created for different purposes and using different methodologies.

  6. Filtergraph: An Interactive Web Application for Visualization of Astronomy Datasets

    E-Print Network [OSTI]

    Burger, Dan; Pepper, Joshua; Siverd, Robert J; Paegert, Martin; De Lee, Nathan M

    2013-01-01T23:59:59.000Z

    Filtergraph is a web application being developed and maintained by the Vanderbilt Initiative in Data-intensive Astrophysics (VIDA) to flexibly and rapidly visualize a large variety of astronomy datasets of various formats and sizes. The user loads a flat-file dataset into Filtergraph which automatically generates an interactive data portal that can be easily shared with others. From this portal, the user can immediately generate scatter plots of up to 5 dimensions as well as histograms and tables based on the dataset. Key features of the portal include intuitive controls with auto-completed variable names, the ability to filter the data in real time through user-specified criteria, the ability to select data by dragging on the screen, and the ability to perform arithmetic operations on the data in real time. To enable seamless data visualization and exploration, changes are quickly rendered on screen and visualizations can be exported as high quality graphics files. The application is optimized for speed in t...

  7. Parton distributions based on a maximally consistent dataset

    E-Print Network [OSTI]

    Juan Rojo

    2014-09-10T23:59:59.000Z

    The choice of data that enters a global QCD analysis can have a substantial impact on the resulting parton distributions and their predictions for collider observables. One of the main reasons for this has to do with the possible presence of inconsistencies, either internal within an experiment or external between different experiments. In order to assess the robustness of the global fit, different definitions of a conservative PDF set, that is, a PDF set based on a maximally consistent dataset, have been introduced. However, these approaches are typically affected by theory biases in the selection of the dataset. In this contribution, after a brief overview of recent NNPDF developments, we propose a new, fully objective, definition of a conservative PDF set, based on the Bayesian reweighting approach. Using the new NNPDF3.0 framework, we produce various conservative sets, which turn out to be mutually in agreement within the respective PDF uncertainties, as well as with the global fit. We explore some of their implications for LHC phenomenology, finding also good consistency with the global fit result. These results provide a non-trivial validation test of the new NNPDF3.0 fitting methodology, and indicate that possible inconsistencies in the fitted dataset do not affect substantially the global fit PDFs.

  8. A method for teleporting an unknown quantum state and its application

    E-Print Network [OSTI]

    Feng-Li Yan; Hai-Rui Huo

    2005-04-28T23:59:59.000Z

    We suggest a method for teleporting an unknown quantum state. In this method the sender Alice first uses a Controlled-Not operation on the particle in the unknown quantum state and an ancillary particle which she wants to send to the receiver Bob. Then she sends ancillary particle to Bob. When Alice is informed by Bob that the ancillary particle is received, she performs a local measurement on the particle and sends Bob the outcome of the local measurement via a classical channel. Depending on the outcome Bob can restore the unknown quantum state, which Alice destroyed, on the ancillary particle successfully. As an application of this method we propose a quantum secure direct communication protocol.

  9. Going Home Through an Unknown Street \\Lambda Alejandro L'opezOrtiz y Sven Schuierer z

    E-Print Network [OSTI]

    López-Ortiz, Alex

    consider the problem of a robot traversing an unknown polygon with the aid of standard visibility. The robot has to find a path from a starting point s to a target point t. We provide upper and lower bounds on the ratio of the distance traveled by the robot in comparison to the length of a shortest path. Since

  10. Ontology based Holonic Diagnostic System (OHDS) for the Research and Control of Unknown Diseases

    E-Print Network [OSTI]

    Ulieru, Mihaela

    Ontology based Holonic Diagnostic System (OHDS) for the Research and Control of Unknown Diseases Alberta, Canada Email: ulieru@ucalgary.ca Abstract - This paper presents an Ontology-based Holonic Diagnostic System (OHDS) that combines the advantages of the holonic paradigm with multi-agent system

  11. Kalman filtering with unknown inputs via optimal state estimation of singular systems

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    1 Kalman filtering with unknown inputs via optimal state estimation of singular systems M. DAROUACH de Lorraine, 54400 COSNES ET ROMAIN, FRANCE A new method for designing a Kalman filter for linear the Kalman filter, it is generally assumed that all system parameters, noise covariances, and inputs

  12. Fault-Tolerant Exploration of an Unknown Dangerous Graph by Scattered Agents

    E-Print Network [OSTI]

    Flocchini, Paola

    Fault-Tolerant Exploration of an Unknown Dangerous Graph by Scattered Agents Paola Flocchini1 a network where there are dangerous sites (black holes) that eliminate any incoming searcher without leaving a discernible trace. Dangerous graph exploration (Dge) extends the Bhs problem to include dangerous links (black

  13. Direct adaptive suppression of multiple unknown vibrations using an inertial actuator

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    principle and the Youla- Kucera parametrization. Index Terms-- direct adaptive regulation, internal model realization are practically constant. The correspond- ing "control plant model" to be used for control design are in the context of an adaptive regulation problem with a known plant model and an unknown disturbance model

  14. TURBO EQUALIZATIONWITH AN UNKNOWN CHANNEL SeongwookSong', Andrew C. Singer2,Koeng-MoSun?

    E-Print Network [OSTI]

    Singer, Andrew C

    TURBO EQUALIZATIONWITH AN UNKNOWN CHANNEL SeongwookSong', Andrew C. Singer2,Koeng-MoSun? l t 2Univ the method of turbo equalization originally de- veloped by Douillard, et al. [3]. In its original form, turbo and without training data. The resultingjoint channeland data estimator is shown to outperform standard turbo

  15. Evaluation of Hierarchical Clustering Algorithms for Document Datasets

    E-Print Network [OSTI]

    Karypis, George

    of Computer Science University of Minnesota Minneapolis, MN 55455 yzhao@cs.umn.edu George Karypis Department of Computer Science University of Minnesota Minneapolis, MN 55455 karypis@cs.umn.edu ABSTRACT Fast and high9, 2002, McLean, Virginia, USA. Copyright 2002 ACM 1-58113-492-4/02/0011 ...$5.00. Keywords Hierarchical

  16. Collection and Analysis of Two Complex Ecological Datasets

    E-Print Network [OSTI]

    Fisher, Bob

    the ChiRoPing and Fish4Knowledge EU funded research projects. Categories and Subject Descriptors I.2 Analysis: Time-varying imagery, Object recognition Keywords Biological video analysis; bat tracking; fish 55 For more information, see: www.chiroping.org Fish4Knowledge Fish4Knowledge2 collected and analysed

  17. Fact #858 February 2, 2015 Retail Gasoline Prices in 2014 Experienced the Largest Decline since 2008 Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Retail Gasoline Prices in 2014 Experienced the Largest Decline since 2008

  18. Constructing Collaborative Desktop Storage Caches for Large Scientific Datasets

    SciTech Connect (OSTI)

    Vazhkudai, Sudharshan S [ORNL; Ma, Xiaosong [ORNL; Freeh, Vincent W [ORNL; Strickland, Jonathan W [ORNL; Tammineedi, Nandan [ORNL; Simon, Tyler A [ORNL; Scott, Stephen L [ORNL

    2006-08-01T23:59:59.000Z

    High-end computing is suffering a data deluge from experiments, simulations, and apparatus that creates overwhelming application dataset sizes. This has led to the proliferation of high-end mass storage systems, storage area clusters, and data centers. These storage facilities offer a large range of choices in terms of capacity and access rate, as well as strong data availability and consistency support. However, for most end-users, the "last mile" in their analysis pipeline often requires data processing and visualization at local computers, typically local desktop workstations. End-user workstations-despite having more processing power than ever before-are ill-equipped to cope with such data demands due to insufficient secondary storage space and I/O rates. Meanwhile, a large portion of desktop storage is unused. We propose the FreeLoader framework, which aggregates unused desktop storage space and I/O bandwidth into a shared cache/scratch space, for hosting large, immutable datasets and exploiting data access locality. This article presents the FreeLoader architecture, component design, and performance results based on our proof-of-concept prototype. Its architecture comprises contributing benefactor nodes, steered by a management layer, providing services such as data integrity, high performance, load balancing, and impact control. Our experiments show that FreeLoader is an appealing low-cost solution to storing massive datasets by delivering higher data access ratesthan traditional storage facilities, namely, local or remote shared file systems, storage systems, and Internet data repositories. In particular, we present novel data striping techniques that allow FreeLoader to efficiently aggregate a workstation's network communication bandwidth and local I/O bandwidth. In addition, the performance impact on the native workload of donor machines is small and can be effectively controlled. Further, we show that security features such as data encryptions and integrity checks can be easily added as filters for interested clients. Finally, we demonstrate how legacy applications can use the FreeLoader API to store and retrieve datasets.

  19. Afghanistan Pakistan High Resolution Wind Resource - Datasets - OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEE JumpAeroWind Inc. Place:AerospatialeAffton,Datasets

  20. Biofuel Enduse Datasets from the Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

    Holdings include datasets, models, and maps. This is a very new resource, but the collections will grow due to both DOE contributions and individuals data uploads. Currently the Biofuel Enduse collection includes 133 items. Most of these are categorized as literature, but 36 are listed as datasets and ten as models.

  1. Study of solar and other unknown anti-neutrino fluxes with Borexino at LNGS

    E-Print Network [OSTI]

    G. Bellini; Borexino Collaboration

    2010-09-30T23:59:59.000Z

    We report on the search for anti-neutrinos of yet unknown origin with the Borexino detector at the Laboratori Nazionali del Gran Sasso. In particular, a hypothetical anti-neutrino flux from the Sun is investigated. Anti-neutrinos are detected through the neutron inverse $\\beta$ decay reaction in a large liquid organic scintillator target. We set a new upper limit for a hypothetical solar $\\bar{\

  2. Title: Subspace Clustering of Microarray Data based on Domain Transformation Keywords: gene expression, subspace clustering, inverted index, gene-gene rela-

    E-Print Network [OSTI]

    McLeod, Dennis

    of Southern California, Los Angeles, USA #12;Subspace Clustering of Microarray Data based on DomainTitle: Subspace Clustering of Microarray Data based on Domain Transformation Keywords: gene framework that supports the identi- fication of useful knowledge based on data clustering. With the recent

  3. Maxim > App Notes > BATTERY MANAGEMENT INTERFACE CIRCUITS Keywords: USB, USB Charger, Li+ USB charger, Lithium Ion USB charger, NiMH USB charger, USB battery

    E-Print Network [OSTI]

    Allen, Jont

    charger, Lithium Ion USB charger, NiMH USB charger, USB battery charger, charging batteries from USB, and cabling. An overview of nickel metal hydride (NiMH) and lithium battery technologies, charging methodsMaxim > App Notes > BATTERY MANAGEMENT INTERFACE CIRCUITS Keywords: USB, USB Charger, Li+ USB

  4. Reconstruction of an unknown cavity with Robin boundary condition inside a heat conductor

    E-Print Network [OSTI]

    Gen Nakamura; Haibing Wang

    2015-05-22T23:59:59.000Z

    Active thermography is a non-destructive testing technique to detect the internal structure of a heat conductor, which is widely applied in industrial engineering. In this paper, we consider the problem of identifying an unknown cavity with Robin boundary condition inside a heat conductor from boundary measurements. To set up the inverse problem mathematically, we first state the corresponding forward problem and show its well-posedness in an anisotropic Sobolev space by the integral equation method. Then, taking the Neumann-to-Dirichlet map as mathematically idealized measured data for the active thermography, we present a linear sampling method for reconstructing the unknown Robin-type cavity and give its mathematical justification by using the layer potential argument. In addition, we analyze the indicator function used in this method and show its pointwise asymptotic behavior by investigating the reflected solution of the fundamental solution. From our asymptotic analysis, we can establish a pointwise reconstruction scheme for the boundary of the cavity, and can also know the distance to the unknown cavity as we probe it from its inside.

  5. ComSIS Vol. 1, No. 1, February 2004 75 Network Models of Massive Datasets

    E-Print Network [OSTI]

    Butenko, Sergiy

    , biotechnology, medicine, finance, astrophysics, ecology, geographical information systems, etc. [2, 10 in data mining, which essentially represents partitioning the set of elements of a certain dataset

  6. Protein interaction network topology uncovers melanogenesis regulatory network components within functional genomics datasets

    E-Print Network [OSTI]

    Ho, Hsiang; Milenkovi?, Tijana; Memievi?, Vesna; Aruri, Jayavani; Prulj, Nataa; Ganesan, Anand K

    2010-01-01T23:59:59.000Z

    components within functional genomics datasets BMC SystemssiRNA-based functional genomics of pigmentation identifiesrelated functional genomics data. J R Soc Interface Motulsky

  7. Feedstock Production Datasets from the Bioenergy Knowledge Discovery Framework

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about] Holdings include datasets, models, and maps and the collections are growing due to both DOE contributions and data uploads from individuals.

  8. Biofuel Distribution Datasets from the Bioenergy Knowledge Discovery Framework

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about] Holdings include datasets, models, and maps and the collections are growing due to both DOE contributions and individuals' data uploads.

  9. Biofuel Production Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

    Holdings include datasets, models, and maps and the collections arel growing due to both DOE contributions and data uploads from individuals.

  10. Feedstock Logistics Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. Holdings include datasets, models, and maps. [from https://www.bioenergykdf.net/content/about

  11. MATCH: Metadata Access Tool for Climate and Health Datasets

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    MATCH is a searchable clearinghouse of publicly available Federal metadata (i.e. data about data) and links to datasets. Most metadata on MATCH pertain to geospatial data sets ranging from local to global scales. The goals of MATCH are to: 1) Provide an easily accessible clearinghouse of relevant Federal metadata on climate and health that will increase efficiency in solving research problems; 2) Promote application of research and information to understand, mitigate, and adapt to the health effects of climate change; 3) Facilitate multidirectional communication among interested stakeholders to inform and shape Federal research directions; 4) Encourage collaboration among traditional and non-traditional partners in development of new initiatives to address emerging climate and health issues. [copied from http://match.globalchange.gov/geoportal/catalog/content/about.page

  12. Programming with Keywords Greg Little

    E-Print Network [OSTI]

    aware of tend to be pretty obvious and mechanical manipulations of ideas coughed up from my subconscious

  13. THERMAL HYDRAULICS KEYWORDS: thermal hydraulics,

    E-Print Network [OSTI]

    Smith, Barton L.

    -fluid modeling of nuclear reactor systems. Thermal-hydraulic analysis codes such as RELAP5-3D ~Ref. 1! and FLICA regions of the system. In fact, the CFD code FLUENT has previously been coupled to RELAP5-3D ~Refs. 3

  14. THERMAL HYDRAULICS KEYWORDS: neutron activation,

    E-Print Network [OSTI]

    Pzsit, Imre

    measurements of pro- duced heat. This is also true for power reactors, especially pressurized water reactors determination of the feedwater flow. The ca- lorimetric measurement of the total power is also used to normalize for deter- mining both gross power and nuclear parameters. Flow measurements can be based on intrusive meth

  15. keyword | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapersWindey Wind Home Rmckeel's Homeguidance

  16. OpenEI Community - keyword

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil and GasOff<div/0 en The Energybegun!

  17. Parallel Processing of Large Datasets from NanoLC-FTICR-MS Measurements

    E-Print Network [OSTI]

    van Nieuwpoort, Rob V.

    for these biomarkers Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) is a powerful tool becauseParallel Processing of Large Datasets from NanoLC-FTICR-MS Measurements Y. E. M. van der Burgt, I parallel processing of large mass spectral datasets in a distributed computing environment is demonstrated

  18. Comparing GPU Implementations of Bilateral and Anisotropic Diffusion Filters for 3D Biomedical Datasets

    SciTech Connect (OSTI)

    Howison, Mark

    2010-05-06T23:59:59.000Z

    We compare the performance of hand-tuned CUDA implementations of bilateral and anisotropic diffusion filters for denoising 3D MRI datasets. Our tests sweep comparable parameters for the two filters and measure total runtime, memory bandwidth, computational throughput, and mean squared errors relative to a noiseless reference dataset.

  19. Decentralized K-means using randomized Gossip protocols for clustering large datasets

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Decentralized K-means using randomized Gossip protocols for clustering large datasets Jerome Fellus datasets distributed over a network of computational units using a decentralized K-means algorithm with a centralized K-means, provided a bound on the number of messages each node has to send is met. We provide

  20. Portable total reflection x-ray fluorescence analysis in the identification of unknown laboratory hazards

    SciTech Connect (OSTI)

    Liu, Ying, E-mail: liu.ying.48r@st.kyoto-u.ac.jp; Imashuku, Susumu; Sasaki, Nobuharu; Ze, Long; Kawai, Jun [Department of Materials Science and Engineering, Kyoto University, Yoshida-Honmachi, Sakyo-ku, Kyoto 606-8501 (Japan); Takano, Shotaro; Sohrin, Yoshiki [Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto 611-0011 (Japan); Seki, Hiroko; Miyauchi, Hiroya [Kyoto Prefectural Technology Center for Small and Medium Enterprises, Chudojiminami machi, Shimogyo-ku, Kyoto 600-8813 (Japan)

    2014-05-15T23:59:59.000Z

    In this study, a portable total reflection x-ray fluorescence (TXRF) spectrometer was used to analyze unknown laboratory hazards that precipitated on exterior surfaces of cooling pipes and fume hood pipes in chemical laboratories. With the aim to examine the accuracy of TXRF analysis for the determination of elemental composition, analytical results were compared with those of wavelength-dispersive x-ray fluorescence spectrometry, scanning electron microscope and energy-dispersive x-ray spectrometry, energy-dispersive x-ray fluorescence spectrometry, inductively coupled plasma atomic emission spectrometry, x-ray diffraction spectrometry (XRD), and x-ray photoelectron spectroscopy (XPS). Detailed comparison of data confirmed that the TXRF method itself was not sufficient to determine all the elements (Z?>?11) contained in the samples. In addition, results suggest that XRD should be combined with XPS in order to accurately determine compound composition. This study demonstrates that at least two analytical methods should be used in order to analyze the composition of unknown real samples.

  1. Fact #871: May 4, 2015 Most Manufacturers Have Positive CAFE Credit Balances at the End of Model Year 2013 Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Most Manufacturers Have Positive CAFE Credit Balances at the End of Model Year 2013

  2. Fact #834: August 18, 2014 About Two-Thirds of Transportation Energy Use is Gasoline for Light Vehicles Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #834: About Two-Thirds of Transportation Energy Use is Gasoline for Light Vehicles

  3. Fact #857 January 26, 2015 Number of Partner Workplaces Offering Electric Vehicle Charging More Than Tripled Since 2011 Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Number of Partner Workplaces Offering Electric Vehicle Charging More Than Tripled Since 2011

  4. Fact #837: September 8, 2014 Gap between Net Imports and Total Imports of Petroleum is Widening Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #837: Gap between Net Imports and Total Imports of Petroleum is Widening

  5. Fact #845: November 3, 2014 From 1970 to 2013 the Share of Older Vehicles in Operation has Increased Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #845:From 1970 to 2013 the Share of Older Vehicles in Operation has Increased

  6. Fact #844: October 27, 2014 Electricity Generated from Coal has Declined while Generation from Natural Gas has Grown Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #844:Electricity Generated from Coal has Declined while Generation from Natural Gas has Grown

  7. Fact #868: April 13, 2015 Automotive Technology Has Improved Performance and Fuel Economy of New Light Vehicles Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Automotive Technology Has Improved Performance and Fuel Economy of New Light Vehicles

  8. Spatial Clustering of Galaxies in Large Datasets Alexander S. Szalay, Department of Physics and Astronomy, Johns Hopkins University

    E-Print Network [OSTI]

    Narasayya, Vivek

    surveys using the Karhunen-Loeve transform as a case study. These large, homogenous datasets are alsoSpatial Clustering of Galaxies in Large Datasets Alexander S. Szalay, Department of Physics Microsoft Way Redmond, WA 98052 #12;Spatial Clustering of Galaxies in Large Datasets Alexander S. Szalaya

  9. The solar rotation rate from inversion of the first GONG datasets T. Corbard 1 , G. Berthomieu 1 , J. Provost 1

    E-Print Network [OSTI]

    Corbard, Thierry

    The solar rotation rate from inversion of the first GONG datasets T. Corbard 1 , G. Berthomieu 1 gives some results obtained by inverting the first GONG datasets for the rotational splittings of the so called averaging kernels Ÿ(r 0 ; ¯ 0 ; r; ¯) defined in Corbard et al. (1996). 2. GONG datasets

  10. Investigating the Selection of Example Sentences for Unknown Target Words in ICALL Reading Texts for L2 German

    E-Print Network [OSTI]

    Segler, Thomas M.

    2007-06-26T23:59:59.000Z

    This thesis considers possible criteria for the selection of example sentences for difficult or unknown words in reading texts for students of German as a Second Language (GSL). The examples are intended to be provided ...

  11. Simple scheme for encoding and decoding a qubit in unknown state for various topological codes

    E-Print Network [OSTI]

    Justyna ?odyga; Pawe? Mazurek; Andrzej Grudka; Micha? Horodecki

    2014-11-29T23:59:59.000Z

    We present a scheme for encoding and decoding an unknown state for CSS codes, based on syndrome measurements. We illustrate our method by means of Kitaev toric code, defected-lattice code, topological subsystem code and Haah 3D code. The protocol is local whenever in a given code the crossings between the logical operators consist of next neighbour pairs, which holds for the above codes. For subsystem code we also present scheme in a noisy case, where we allow for bit and phase-flip errors on qubits as well as state preparation and syndrome measurement errors. Similar scheme can be built for two other codes. We show that the fidelity of the protected qubit in the noisy scenario in a large code size limit is of $1-\\mathcal{O}(p)$, where $p$ is a probability of error on a single qubit. Regarding Haah code we provide noiseless scheme, leaving the noisy case as an open problem.

  12. Information and treatment of unknown correlations in the combination of measurements using the BLUE method

    E-Print Network [OSTI]

    Andrea Valassi; Roberto Chierici

    2014-01-15T23:59:59.000Z

    We discuss the effect of large positive correlations in the combinations of several measurements of a single physical quantity using the Best Linear Unbiased Estimate (BLUE) method. We suggest a new approach for comparing the relative weights of the different measurements in their contributions to the combined knowledge about the unknown parameter, using the well-established concept of Fisher information. We argue, in particular, that one We discuss the effect of large positive correlations in the combinations of several measurements of a single physical quantity using the Best Linear Unbiased Estimate (BLUE) method. We suggest a new approach for comparing the relative weights of the different measurements in their contributions to the combined knowledge about the unknown parameter, using the well-established concept of Fisher information. We argue, in particular, that one contribution to information comes from the collective interplay of the measurements through their correlations and that this contribution cannot be attributed to any of the individual measurements alone. We show that negative coefficients in the BLUE weighted average invariably indicate the presence of a regime of high correlations, where the effect of further increasing some of these correlations is that of reducing the error on the combined estimate. In these regimes, we stress that assuming fully correlated systematic uncertainties is not a truly conservative choice, and that the correlations provided as input to BLUE combinations need to be assessed with extreme care instead. In situations where the precise evaluation of these correlations is impractical, or even impossible, we provide tools to help experimental physicists perform more conservative combinations.

  13. Equilibrium Response and Transient Dynamics Datasets from VEMAP: Vegetation/Ecosystem Modeling and Analysis Project

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Users of the VEMAP Portal can access input files of numerical data that include monthly and daily files of geographic data, soil and site files, scenario files, etc. Model results from Phase I, the Equilibrium Response datasets, are available through the NCAR anonymous FTP site at http://www.cgd.ucar.edu/vemap/vresults.html. Phase II, Transient Dynamics, include climate datasets, models results, and analysis tools. Many supplemental files are also available from the main data page at http://www.cgd.ucar.edu/vemap/datasets.html.

  14. New ORNL, N.C. State, LanzaTech DNA dataset is potent, accessible...

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

    Ron Walli Communications 865.576.0226 New ORNL, N.C. State, LanzaTech DNA dataset is potent, accessible tool Dawn Klingeman of Oak Ridge National Laboratory's Biosciences Division...

  15. First all-sky search for continuous gravitational waves from unknown sources in binary systems

    E-Print Network [OSTI]

    Aasi, J; Abbott, R; Abbott, T; Abernathy, M R; Accadia, T; Acernese, F; Ackley, K; Adams, C; Adams, T; Addesso, P; Adhikari, R X; Affeldt, C; Agathos, M; Aggarwal, N; Aguiar, O D; Ain, A; Ajith, P; Alemic, A; Allen, B; Allocca, A; Amariutei, D; Andersen, M; Anderson, R; Anderson, S B; Anderson, W G; Arai, K; Araya, M C; Arceneaux, C; Areeda, J; Aston, S M; Astone, P; Aufmuth, P; Aulbert, C; Austin, L; Aylott, B E; Babak, S; Baker, P T; Ballardin, G; Ballmer, S W; Barayoga, J C; Barbet, M; Barish, B C; Barker, D; Barone, F; Barr, B; Barsotti, L; Barsuglia, M; Barton, M A; Bartos, I; Bassiri, R; Basti, A; Batch, J C; Bauchrowitz, J; Bauer, Th S; Behnke, B; Bejger, M; Beker, M G; Belczynski, C; Bell, A S; Bell, C; Bergmann, G; Bersanetti, D; Bertolini, A; Betzwieser, J; Beyersdorf, P T; Bilenko, I A; Billingsley, G; Birch, J; Biscans, S; Bitossi, M; Bizouard, M A; Black, E; Blackburn, J K; Blackburn, L; Blair, D; Bloemen, S; Blom, M; Bock, O; Bodiya, T P; Boer, M; Bogaert, G; Bogan, C; Bond, C; Bondu, F; Bonelli, L; Bonnand, R; Bork, R; Born, M; Boschi, V; Bose, Sukanta; Bosi, L; Bradaschia, C; Brady, P R; Braginsky, V B; Branchesi, M; Brau, J E; Briant, T; Bridges, D O; Brillet, A; Brinkmann, M; Brisson, V; Brooks, A F; Brown, D A; Brown, D D; Brckner, F; Buchman, S; Bulik, T; Bulten, H J; Buonanno, A; Burman, R; Buskulic, D; Buy, C; Cadonati, L; Cagnoli, G; Bustillo, J Caldern; Calloni, E; Camp, J B; Campsie, P; Cannon, K C; Canuel, B; Cao, J; Capano, C D; Carbognani, F; Carbone, L; Caride, S; Castiglia, A; Caudill, S; Cavagli, M; Cavalier, F; Cavalieri, R; Celerier, C; Cella, G; Cepeda, C; Cesarini, E; Chakraborty, R; Chalermsongsak, T; Chamberlin, S J; Chao, S; Charlton, P; Chassande-Mottin, E; Chen, X; Chen, Y; Chincarini, A; Chiummo, A; Cho, H S; Chow, J; Christensen, N; Chu, Q; Chua, S S Y; Chung, S; Ciani, G; Clara, F; Clark, J A; Cleva, F; Coccia, E; Cohadon, P -F; Colla, A; Collette, C; Colombini, M; Cominsky, L; Constancio, M; Conte, A; Cook, D; Corbitt, T R; Cordier, M; Cornish, N; Corpuz, A; Corsi, A; Costa, C A; Coughlin, M W; Coughlin, S; Coulon, J -P; Countryman, S; Couvares, P; Coward, D M; Cowart, M; Coyne, D C; Coyne, R; Craig, K; Creighton, J D E; Creighton, T D; Crowder, S G; Cumming, A; Cunningham, L; Cuoco, E; Dahl, K; Canton, T Dal; Damjanic, M; Danilishin, S L; D'Antonio, S; Danzmann, K; Dattilo, V; Daveloza, H; Davier, M; Davies, G S; Daw, E J; Day, R; Dayanga, T; Debreczeni, G; Degallaix, J; Delglise, S; Del Pozzo, W; Denker, T; Dent, T; Dereli, H; Dergachev, V; De Rosa, R; DeRosa, R T; DeSalvo, R; Dhurandhar, S; Daz, M; Di Fiore, L; Di Lieto, A; Di Palma, I; Di Virgilio, A; Donath, A; Donovan, F; Dooley, K L; Doravari, S; Dossa, S; Douglas, R; Downes, T P; Drago, M; Drever, R W P; Driggers, J C; Du, Z; Dwyer, S; Eberle, T; Edo, T; Edwards, M; Effler, A; Eggenstein, H; Ehrens, P; Eichholz, J; Eikenberry, S S; Endr\\Hoczi, G; Essick, R; Etzel, T; Evans, M; Evans, T; Factourovich, M; Fafone, V; Fairhurst, S; Fang, Q; Farinon, S; Farr, B; Farr, W M; Favata, M; Fehrmann, H; Fejer, M M; Feldbaum, D; Feroz, F; Ferrante, I; Ferrini, F; Fidecaro, F; Finn, L S; Fiori, I; Fisher, R P; Flaminio, R; Fournier, J -D; Franco, S; Frasca, S; Frasconi, F; Frede, M; Frei, Z; Freise, A; Frey, R; Fricke, T T; Fritschel, P; Frolov, V V; Fulda, P; Fyffe, M; Gair, J; Gammaitoni, L; Gaonkar, S; Garufi, F; Gehrels, N; Gemme, G; Genin, E; Gennai, A; Ghosh, S; Giaime, J A; Giardina, K D; Giazotto, A; Gill, C; Gleason, J; Goetz, E; Goetz, R; Gondan, L; Gonzlez, G; Gordon, N; Gorodetsky, M L; Gossan, S; Goler, S; Gouaty, R; Grf, C; Graff, P B; Granata, M; Grant, A; Gras, S; Gray, C; Greenhalgh, R J S; Gretarsson, A M; Groot, P; Grote, H; Grover, K; Grunewald, S; Guidi, G M; Guido, C; Gushwa, K; Gustafson, E K; Gustafson, R; Hammer, D; Hammond, G; Hanke, M; Hanks, J; Hanna, C; Hanson, J; Harms, J; Harry, G M; Harry, I W; Harstad, E D; Hart, M; Hartman, M T; Haster, C -J; Haughian, K; Heidmann, A; Heintze, M; Heitmann, H; Hello, P; Hemming, G; Hendry, M; Heng, I S; Heptonstall, A W; Heurs, M; Hewitson, M; Hild, S; Hoak, D; Hodge, K A; Holt, K; Hooper, S; Hopkins, P; Hosken, D J; Hough, J; Howell, E J; Hu, Y; Huerta, E; Hughey, B; Husa, S; Huttner, S H; Huynh, M; Huynh-Dinh, T; Ingram, D R; Inta, R; Isogai, T; Ivanov, A; Iyer, B R; Izumi, K; Jacobson, M; James, E; Jang, H; Jaranowski, P; Ji, Y; Jimnez-Forteza, F; Johnson, W W; Jones, D I; Jones, R; Jonker, R J G; Ju, L; K, Haris; Kalmus, P; Kalogera, V; Kandhasamy, S; Kang, G; Kanner, J B; Karlen, J; Kasprzack, M; Katsavounidis, E; Katzman, W; Kaufer, H; Kawabe, K; Kawazoe, F; Kflian, F; Keiser, G M; Keitel, D; Kelley, D B; Kells, W; Khalaidovski, A; Khalili, F Y; Khazanov, E A; Kim, C; Kim, K; Kim, N; Kim, N G; Kim, Y -M; King, E J; King, P J; Kinzel, D L; Kissel, J S; Klimenko, S; Kline, J; Koehlenbeck, S; Kokeyama, K; Kondrashov, V; Koranda, S

    2014-01-01T23:59:59.000Z

    We present the first results of an all-sky search for continuous gravitational waves from unknown spinning neutron stars in binary systems using LIGO and Virgo data. Using a specially developed analysis program, the TwoSpect algorithm, the search was carried out on data from the sixth LIGO Science Run and the second and third Virgo Science Runs. The search covers a range of frequencies from 20 Hz to 520 Hz, a range of orbital periods from 2 to ~2,254 h and a frequency- and period-dependent range of frequency modulation depths from 0.277 to 100 mHz. This corresponds to a range of projected semi-major axes of the orbit from ~0.6e-3 ls to ~6,500 ls assuming the orbit of the binary is circular. While no plausible candidate gravitational wave events survive the pipeline, upper limits are set on the analyzed data. The most sensitive 95% confidence upper limit obtained on gravitational wave strain is 2.3e-24 at 217 Hz, assuming the source waves are circularly polarized. Although this search has been optimized for ci...

  16. First all-sky search for continuous gravitational waves from unknown sources in binary systems

    E-Print Network [OSTI]

    The LIGO Scientific Collaboration; the Virgo Collaboration; J. Aasi; B. P. Abbott; R. Abbott; T. Abbott; M. R. Abernathy; T. Accadia; F. Acernese; K. Ackley; C. Adams; T. Adams; P. Addesso; R. X. Adhikari; C. Affeldt; M. Agathos; N. Aggarwal; O. D. Aguiar; A. Ain; P. Ajith; A. Alemic; B. Allen; A. Allocca; D. Amariutei; M. Andersen; R. Anderson; S. B. Anderson; W. G. Anderson; K. Arai; M. C. Araya; C. Arceneaux; J. Areeda; S. M. Aston; P. Astone; P. Aufmuth; C. Aulbert; L. Austin; B. E. Aylott; S. Babak; P. T. Baker; G. Ballardin; S. W. Ballmer; J. C. Barayoga; M. Barbet; B. C. Barish; D. Barker; F. Barone; B. Barr; L. Barsotti; M. Barsuglia; M. A. Barton; I. Bartos; R. Bassiri; A. Basti; J. C. Batch; J. Bauchrowitz; Th. S. Bauer; B. Behnke; M. Bejger; M. G. Beker; C. Belczynski; A. S. Bell; C. Bell; G. Bergmann; D. Bersanetti; A. Bertolini; J. Betzwieser; P. T. Beyersdorf; I. A. Bilenko; G. Billingsley; J. Birch; S. Biscans; M. Bitossi; M. A. Bizouard; E. Black; J. K. Blackburn; L. Blackburn; D. Blair; S. Bloemen; M. Blom; O. Bock; T. P. Bodiya; M. Boer; G. Bogaert; C. Bogan; C. Bond; F. Bondu; L. Bonelli; R. Bonnand; R. Bork; M. Born; V. Boschi; Sukanta Bose; L. Bosi; C. Bradaschia; P. R. Brady; V. B. Braginsky; M. Branchesi; J. E. Brau; T. Briant; D. O. Bridges; A. Brillet; M. Brinkmann; V. Brisson; A. F. Brooks; D. A. Brown; D. D. Brown; F. Brckner; S. Buchman; T. Bulik; H. J. Bulten; A. Buonanno; R. Burman; D. Buskulic; C. Buy; L. Cadonati; G. Cagnoli; J. Caldern Bustillo; E. Calloni; J. B. Camp; P. Campsie; K. C. Cannon; B. Canuel; J. Cao; C. D. Capano; F. Carbognani; L. Carbone; S. Caride; A. Castiglia; S. Caudill; M. Cavagli; F. Cavalier; R. Cavalieri; C. Celerier; G. Cella; C. Cepeda; E. Cesarini; R. Chakraborty; T. Chalermsongsak; S. J. Chamberlin; S. Chao; P. Charlton; E. Chassande-Mottin; X. Chen; Y. Chen; A. Chincarini; A. Chiummo; H. S. Cho; J. Chow; N. Christensen; Q. Chu; S. S. Y. Chua; S. Chung; G. Ciani; F. Clara; J. A. Clark; F. Cleva; E. Coccia; P. -F. Cohadon; A. Colla; C. Collette; M. Colombini; L. Cominsky; M. Constancio Jr.; A. Conte; D. Cook; T. R. Corbitt; M. Cordier; N. Cornish; A. Corpuz; A. Corsi; C. A. Costa; M. W. Coughlin; S. Coughlin; J. -P. Coulon; S. Countryman; P. Couvares; D. M. Coward; M. Cowart; D. C. Coyne; R. Coyne; K. Craig; J. D. E. Creighton; T. D. Creighton; S. G. Crowder; A. Cumming; L. Cunningham; E. Cuoco; K. Dahl; T. Dal Canton; M. Damjanic; S. L. Danilishin; S. D'Antonio; K. Danzmann; V. Dattilo; H. Daveloza; M. Davier; G. S. Davies; E. J. Daw; R. Day; T. Dayanga; G. Debreczeni; J. Degallaix; S. Delglise; W. Del Pozzo; T. Denker; T. Dent; H. Dereli; V. Dergachev; R. De Rosa; R. T. DeRosa; R. DeSalvo; S. Dhurandhar; M. Daz; L. Di Fiore; A. Di Lieto; I. Di Palma; A. Di Virgilio; A. Donath; F. Donovan; K. L. Dooley; S. Doravari; S. Dossa; R. Douglas; T. P. Downes; M. Drago; R. W. P. Drever; J. C. Driggers; Z. Du; S. Dwyer; T. Eberle; T. Edo; M. Edwards; A. Effler; H. Eggenstein; P. Ehrens; J. Eichholz; S. S. Eikenberry; G. Endr?czi; R. Essick; T. Etzel; M. Evans; T. Evans; M. Factourovich; V. Fafone; S. Fairhurst; Q. Fang; S. Farinon; B. Farr; W. M. Farr; M. Favata; H. Fehrmann; M. M. Fejer; D. Feldbaum; F. Feroz; I. Ferrante; F. Ferrini; F. Fidecaro; L. S. Finn; I. Fiori; R. P. Fisher; R. Flaminio; J. -D. Fournier; S. Franco; S. Frasca; F. Frasconi; M. Frede; Z. Frei; A. Freise; R. Frey; T. T. Fricke; P. Fritschel; V. V. Frolov; P. Fulda; M. Fyffe; J. Gair; L. Gammaitoni; S. Gaonkar; F. Garufi; N. Gehrels; G. Gemme; E. Genin; A. Gennai; S. Ghosh; J. A. Giaime; K. D. Giardina; A. Giazotto; C. Gill; J. Gleason; E. Goetz; R. Goetz; L. Gondan; G. Gonzlez; N. Gordon; M. L. Gorodetsky; S. Gossan; S. Goler; R. Gouaty; C. Grf; P. B. Graff; M. Granata; A. Grant; S. Gras; C. Gray; R. J. S. Greenhalgh; A. M. Gretarsson; P. Groot; H. Grote; K. Grover; S. Grunewald; G. M. Guidi; C. Guido; K. Gushwa; E. K. Gustafson; R. Gustafson; D. Hammer; G. Hammond; M. Hanke; J. Hanks; C. Hanna; J. Hanson; J. Harms; G. M. Harry; I. W. Harry; E. D. Harstad; M. Hart; M. T. Hartman; C. -J. Haster; K. Haughian; A. Heidmann; M. Heintze; H. Heitmann; P. Hello; G. Hemming; M. Hendry; I. S. Heng; A. W. Heptonstall; M. Heurs; M. Hewitson; S. Hild; D. Hoak; K. A. Hodge; K. Holt; S. Hooper; P. Hopkins; D. J. Hosken; J. Hough; E. J. Howell; Y. Hu; E. Huerta; B. Hughey; S. Husa; S. H. Huttner; M. Huynh; T. Huynh-Dinh; D. R. Ingram; R. Inta; T. Isogai; A. Ivanov; B. R. Iyer; K. Izumi; M. Jacobson; E. James; H. Jang; P. Jaranowski; Y. Ji; F. Jimnez-Forteza; W. W. Johnson; D. I. Jones; R. Jones; R. J. G. Jonker; L. Ju; Haris K; P. Kalmus; V. Kalogera; S. Kandhasamy; G. Kang; J. B. Kanner; J. Karlen; M. Kasprzack; E. Katsavounidis; W. Katzman; H. Kaufer; K. Kawabe; F. Kawazoe; F. Kflian; G. M. Keiser; D. Keitel; D. B. Kelley; W. Kells; A. Khalaidovski

    2014-09-17T23:59:59.000Z

    We present the first results of an all-sky search for continuous gravitational waves from unknown spinning neutron stars in binary systems using LIGO and Virgo data. Using a specially developed analysis program, the TwoSpect algorithm, the search was carried out on data from the sixth LIGO Science Run and the second and third Virgo Science Runs. The search covers a range of frequencies from 20 Hz to 520 Hz, a range of orbital periods from 2 to ~2,254 h and a frequency- and period-dependent range of frequency modulation depths from 0.277 to 100 mHz. This corresponds to a range of projected semi-major axes of the orbit from ~0.6e-3 ls to ~6,500 ls assuming the orbit of the binary is circular. While no plausible candidate gravitational wave events survive the pipeline, upper limits are set on the analyzed data. The most sensitive 95% confidence upper limit obtained on gravitational wave strain is 2.3e-24 at 217 Hz, assuming the source waves are circularly polarized. Although this search has been optimized for circular binary orbits, the upper limits obtained remain valid for orbital eccentricities as large as 0.9. In addition, upper limits are placed on continuous gravitational wave emission from the low-mass x-ray binary Scorpius X-1 between 20 Hz and 57.25 Hz.

  17. 2 1/2 D visual servoing with respect to planar contours having complex and unknown shapes

    E-Print Network [OSTI]

    Cipolla, Roberto

    2 1/2 D visual servoing with respect to planar contours having complex and unknown shapes E. Malis with arbitrary contours of any shape and without any prior knowl- edge of their models. The system is first shown complex shapes such as leaves, keys and coastal outlines of islands. Experiments using a ship mockup

  18. Simultaneous state and unknown inputs estimation with PI and PMI observers for Takagi Sugeno model with unmeasurable premise

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Simultaneous state and unknown inputs estimation with PI and PMI observers for Takagi Sugeno model-- In this paper, a proportional integral (PI) and a proportional multiple integral observer (PMI) are proposed and PMI observers developed for linear systems. The state estimation error is written as a perturbed

  19. Fact #850: December 8, 2014 Automatic Transmissions have closed the Fuel Economy Gap with Manual Transmissions- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #850: December 8, 2014 Automatic Transmissions have closed the Fuel Economy Gap with Manual Transmissions

  20. Fact #851: December 15, 2014 The Average Number of Gears used in Transmissions Continues to Rise Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #851: December 15, 2014 The Average Number of Gears used in Transmissions Continues to Rise

  1. Fact #838: September 15, 2014 Net Imports of Petroleum were Only 33% of U.S. Consumption in 2013- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #838: Net Imports of Petroleum were Only 33% of U.S. Consumption in 2013

  2. Fact #839: September 22, 2014 World Petroleum Consumption Continues to Rise despite Declines from the United States and Europe- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #839: World Petroleum Consumption Continues to Rise despite Declines from the United States and Europe

  3. Fact #846: November 10, 2014 Trucks Move 70% of all Freight by Weight and 74% of Freight by Value Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #846:Trucks Move 70% of all Freight by Weight and 74% of Freight by Value

  4. Fact #853 December 29, 2014 Stop/Start Technology is in nearly 5% of All New Light Vehicles Produced- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #853: December 29, 2014 Stop/Start Technology is in nearly 5% of All New Light Vehicles Produced

  5. Development of Regional Wind Resource and Wind Plant Output Datasets: Final Subcontract Report, 15 October 2007 - 15 March 2009

    SciTech Connect (OSTI)

    3TIER, Seattle, Washington

    2010-03-01T23:59:59.000Z

    This report describes the development of the necessary and needed wind and solar datasets used in the Western Wind and Solar Integration Study (WWSIS).

  6. 5D-ODETLAP: A NOVEL FIVE-DIMENSIONAL COMPRESSION METHOD ON TIME-VARYING MULTIVARIABLE GEOSPATIAL DATASET

    E-Print Network [OSTI]

    Franklin, W. Randolph

    5D-ODETLAP: A NOVEL FIVE-DIMENSIONAL COMPRESSION METHOD ON TIME-VARYING MULTIVARIABLE GEOSPATIAL dimensional (5D) geospatial dataset consists of several multivariable 4D datasets, which are sequences of time technique for 5D geospatial data as a whole, instead of applying 3D compression method on each 3D slice

  7. Stumbl: Using Facebook to Collect Rich Datasets for Opportunistic Networking Research

    E-Print Network [OSTI]

    Gesbert, David

    Stumbl: Using Facebook to Collect Rich Datasets for Opportunistic Networking Research Theus, mobility and communication ties. Stumbl is a Facebook application that provides participating users with a user-friendly interface to report their daily face-to-face meetings with other Facebook friends

  8. Sensing the Air We Breathe the OpenSense Zurich Dataset Jason Jingshi Li1

    E-Print Network [OSTI]

    Dalang, Robert C.

    pollution is a signifi- cant challenge for the sustainability of our environment. We quickly survey the air pollution modeling problem, introduce a new dataset of mobile air quality measurements in Zurich, and discuss the challenges of making sense of these data. Introduction Urban outdoor air pollution currently

  9. Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets Tomasz Stepinski

    E-Print Network [OSTI]

    Ding, Wei

    Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets Wei Ding Tomasz. Several geospatial feature vari- ables are fused together, and the vector of their values at each spatial cell is considered as a transaction to be used in association analysis. The concept of emerging

  10. Automatic Diabetic Macular Edema Detection in Fundus Images Using Publicly Available Datasets

    SciTech Connect (OSTI)

    Giancardo, Luca [ORNL; Meriaudeau, Fabrice [ORNL; Karnowski, Thomas Paul [ORNL; Li, Yaquin [University of Tennessee, Knoxville (UTK); Garg, Seema [University of North Carolina; Tobin Jr, Kenneth William [ORNL; Chaum, Edward [University of Tennessee, Knoxville (UTK)

    2011-01-01T23:59:59.000Z

    Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy. In a large scale screening environment DME can be assessed by detecting exudates (a type of bright lesions) in fundus images. In this work, we introduce a new methodology for diagnosis of DME using a novel set of features based on colour, wavelet decomposition and automatic lesion segmentation. These features are employed to train a classifier able to automatically diagnose DME. We present a new publicly available dataset with ground-truth data containing 169 patients from various ethnic groups and levels of DME. This and other two publicly available datasets are employed to evaluate our algorithm. We are able to achieve diagnosis performance comparable to retina experts on the MESSIDOR (an independently labelled dataset with 1200 images) with cross-dataset testing. Our algorithm is robust to segmentation uncertainties, does not need ground truth at lesion level, and is very fast, generating a diagnosis on an average of 4.4 seconds per image on an 2.6 GHz platform with an unoptimised Matlab implementation.

  11. A Common UniversityA Common University Dataset for Canada (CUDC)

    E-Print Network [OSTI]

    Garousi, Vahid

    extent of consensus among templates evaluate suitability of Canadian Undergraduate Survey Consortium survey items in current common university dataset templates #12;11/18/2008 6 May 2008: Steering Group and principles consensus template coordination of student surveys NSSE: improving the survey and how it is used

  12. Investigating Gait Recognition in the Short-Wave Infrared (SWIR) Spectrum: Dataset and Challenges

    E-Print Network [OSTI]

    Ross, Arun Abraham

    Investigating Gait Recognition in the Short-Wave Infrared (SWIR) Spectrum: Dataset and Challenges that can confound recognition accuracy. In the context of automated human gait recognition, evaluation has literature has explored recognition in the passive thermal band. The advent of sophisticated sensors has

  13. SOIL MOISTURE CHARACTERIZATION USING MULTI-ANGULAR POLARIMETRIC RADARSAT-2 DATASETS

    E-Print Network [OSTI]

    Boyer, Edmond

    SOIL MOISTURE CHARACTERIZATION USING MULTI-ANGULAR POLARIMETRIC RADARSAT-2 DATASETS Hongquan Wang to be a solution to improve the effectiveness of bare soil char- acterization. However, the potential single and multiple incidence angle acquisitions is investigated against in situ soil moisture

  14. Bionimbus: a cloud for managing, analyzing and sharing large genomics datasets

    E-Print Network [OSTI]

    Grossman, Robert

    Bionimbus: a cloud for managing, analyzing and sharing large genomics datasets Allison P Heath,1 Megan E McNerney,1,2 Kevin P White,1,3,4 Robert L Grossman1,3,5 1 Institute for Genomics and Systems petabyte-scale cloud- based computing platforms containing these data, along with tools and resources

  15. Analyzing Massive Astrophysical Datasets: Can Pig/Hadoop or a Relational DBMS Help?

    E-Print Network [OSTI]

    Anderson, Richard

    Analyzing Massive Astrophysical Datasets: Can Pig/Hadoop or a Relational DBMS Help? Sarah Loebman1 distributed DBMS and in the Pig/Hadoop system. We compare the performance of the tools to each other of subatomic particles to the evolution of the universe. These simulations produce an ever more massive amount

  16. test dataset - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin: EnergyWyandanch,Eaga SolarZoloHomeimprovesecurity Hometest

  17. Fact #869: April 20, 2015 Gasoline Direct Injection Captures 38% Market Share in Just Seven Years from First Significant Use Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Gasoline Direct Injection Captures 38% Market Share in Just Seven Years from First Significant Use

  18. Advancements in Wind Integration Study Data Modeling: The Wind Integration National Dataset (WIND) Toolkit; Preprint

    SciTech Connect (OSTI)

    Draxl, C.; Hodge, B. M.; Orwig, K.; Jones, W.; Searight, K.; Getman, D.; Harrold, S.; McCaa, J.; Cline, J.; Clark, C.

    2013-10-01T23:59:59.000Z

    Regional wind integration studies in the United States require detailed wind power output data at many locations to perform simulations of how the power system will operate under high-penetration scenarios. The wind data sets that serve as inputs into the study must realistically reflect the ramping characteristics, spatial and temporal correlations, and capacity factors of the simulated wind plants, as well as be time synchronized with available load profiles. The Wind Integration National Dataset (WIND) Toolkit described in this paper fulfills these requirements. A wind resource dataset, wind power production time series, and simulated forecasts from a numerical weather prediction model run on a nationwide 2-km grid at 5-min resolution will be made publicly available for more than 110,000 onshore and offshore wind power production sites.

  19. Production of BaBar Skimmed Analysis Datasets Using the Grid

    SciTech Connect (OSTI)

    Brew, C.A.J.; /Rutherford; Wilson, F.F.; /Rutherford; Castelli, G.; /Rutherford; Adye, T.; /Rutherford; Roethel, W.; /Rutherford; Luppi, E.; /INFN, Ferrara; Andreotti, D.; /INFN, Ferrara; Smith, D.; /SLAC; Khan, A.; /Brunel U.; Barrett, M.; /Brunel U.; Barlow, R.; /Manchester U.; Bailey, D.; /Manchester U.

    2011-11-10T23:59:59.000Z

    The BABAR Collaboration, based at Stanford Linear Accelerator Center (SLAC), Stanford, US, has been performing physics reconstruction, simulation studies and data analysis for 8 years using a number of compute farms around the world. Recent developments in Grid technologies could provide a way to manage the distributed resources in a single coherent structure. We describe enhancements to the BABAR experiment's distributed skimmed dataset production system to make use of European Grid resources and present the results with regard to BABAR's latest cycle of skimmed dataset production. We compare the benefits of a local and Grid-based systems, the ease with which the system is managed and the challenges of integrating the Grid with legacy software. We compare job success rates and manageability issues between Grid and non-Grid production.

  20. Integrative analysis of transcriptomic and proteomic data of Shewanella oneidensis: missing value imputation using temporal datasets

    SciTech Connect (OSTI)

    Torres-Garca, Wandaliz [Arizona State University; Brown, Steven D [ORNL; Johnson, Roger [Arizona State University; Zhang, Weiwen [Arizona State University; Runger, George [Arizona State University; Meldrum, Deirdre [Arizona State University

    2011-01-01T23:59:59.000Z

    Despite significant improvements in recent years, proteomic datasets currently available still suffer large number of missing values. Integrative analyses based upon incomplete proteomic and transcriptomic da-tasets could seriously bias the biological interpretation. In this study, we applied a non-linear data-driven stochastic gradient boosted trees (GBT) model to impute missing proteomic values for proteins experi-mentally undetected, using a temporal transcriptomic and proteomic dataset of Shewanella oneidensis. In this dataset, genes expression was measured after the cells were exposed to 1 mM potassium chromate for 5-, 30-, 60-, and 90-min, while protein abundance was measured only for 45- and 90-min samples. With the goal of elucidating the relationship between temporal gene expression and protein abundance data, and then using it to impute missing proteomic values for samples of 45-min (which does not have cognate transcriptomic data) and 90-min, we initially used nonlinear Smoothing Splines Curve Fitting (SSCF) to identify temporal relationships among transcriptomic data at different time points and then imputed missing gene expression measurements for the sample at 45-min. After the imputation was validated by biological constrains (i.e. operons), we used a data-driven Gradient Boosted Trees (GBT) model to uncover possible non-linear relationships between temporal transcriptomic and proteomic data, and to impute protein abundance for the proteins experimentally undetected in the 45- and 90-min sam-ples, based on relevant predictors such as temporal mRNA gene expression data, cellular roles, molecular weight, sequence length, protein length, guanine-cytosine (GC) content and triple codon counts. The imputed protein values were validated using biological constraints such as operon, regulon and pathway information. Finally, we demonstrated that such missing value imputation improved characterization of the temporal response of S. oneidensis to chromate.

  1. New Visualization Tools for Environmental Sensor Networks: Using Google Earth as an Interface to Micro-Climate and Multimedia Datasets

    E-Print Network [OSTI]

    Sean Askay

    2006-01-01T23:59:59.000Z

    to Micro-Climate and Multimedia Datasets A Thesis submittedof micro-climate and multimedia data, there existed noJames Reserve's sensor and multimedia networks. At the time

  2. On Optimizing Joint Inversion of Constrained Geophysical Datasets Anibal Sosa1 Leticia Velazquez1;2, Aaron Velasco3,

    E-Print Network [OSTI]

    Ward, Karen

    of Texas at El Paso, El Paso, Texas 79968-0514, USA 3Department of Geological Sciences, The University) algorithm to characterize 1D earth structure using geophysical datasets with two different optimization

  3. FY13 Summary Report on the Augmentation of the Spent Fuel Composition Dataset for Nuclear Forensics: SFCOMPO/NF

    SciTech Connect (OSTI)

    Brady Raap, Michaele C.; Lyons, Jennifer A.; Collins, Brian A.; Livingston, James V.

    2014-03-31T23:59:59.000Z

    This report documents the FY13 efforts to enhance a dataset of spent nuclear fuel isotopic composition data for use in developing intrinsic signatures for nuclear forensics. A review and collection of data from the open literature was performed in FY10. In FY11, the Spent Fuel COMPOsition (SFCOMPO) excel-based dataset for nuclear forensics (NF), SFCOMPO/NF was established and measured data for graphite production reactors, Boiling Water Reactors (BWRs) and Pressurized Water Reactors (PWRs) were added to the dataset and expanded to include a consistent set of data simulated by calculations. A test was performed to determine whether the SFCOMPO/NF dataset will be useful for the analysis and identification of reactor types from isotopic ratios observed in interdicted samples.

  4. KEYWORDS: H-pile, group effect, press-in method, deep foundation ABSTRACT: A novel foundation system comprising steel H-piles is described. Using the press-in

    E-Print Network [OSTI]

    Bolton, Malcolm

    KEYWORDS: H-pile, group effect, press-in method, deep foundation ABSTRACT: A novel foundation system comprising steel H-piles is described. Using the press-in method, continuous walls of H-piles can force of the individual piles. This construction tech- nique represents an efficient foundation solution

  5. ISOLATION AND UTILIZATION OF ACETYL-CoA CARBOXYLASE FROM OIL PALM (Elaeis guineensis) MESOCARP Keywords: acetyl-CoA carboxylase, gene isolation, biotin carboxylase, biodegradable plastics, oil palm.

    E-Print Network [OSTI]

    Sinskey, Anthony J.

    ISOLATION AND UTILIZATION OF ACETYL-CoA CARBOXYLASE FROM OIL PALM (Elaeis guineensis) MESOCARP 97 Keywords: acetyl-CoA carboxylase, gene isolation, biotin carboxylase, biodegradable plastics, oil palm; Accepted: 7 November 2007. ISOLATION AND UTILIZATION OF ACETYL-CoA CARBOXYLASE FROM OIL PALM (Elaeis

  6. Models Datasets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'. William HirstLong-Term Market Penetration of

  7. SEARCH The Oregonian Enter Keyword(s) FIND A BUSINESS Enter Keyword More From The Oregonian | Subscribe To The Oregonian

    E-Print Network [OSTI]

    McGraw, Kevin J.

    plotted, threatens Yakima crops Agriculture losses from climate change in Washington's Yakima Valley could and Washington State University extrapolated the effects of warming to the region by applying data from bad droughts going back 80 years. The computer projections indicate as much as a 70 percent reduction

  8. Unknown (Native) 5

    E-Print Network [OSTI]

    James R. Manhart

    2011-08-10T23:59:59.000Z

    capabilities and code validation, a model of the GT-MHR reactor pressure vessel (RPV) was developed. Based on the currently available data, a model of the NGNP RPV was then developed through modifying the GT-MHR RPV model. For both RPV models, coolant outlet...

  9. Four unknown constants

    E-Print Network [OSTI]

    2009-02-27T23:59:59.000Z

    Purdue University. West Lafayette, IN 47907 banuelos@math.purdue.edu. 1 Four inequalities. Let ? ? R2 be an arbitrary simply connected domain in the plane.

  10. Testing for the Possible Influence of Unknown Climate Forcings upon Global Temperature Increases from 1950-2000

    SciTech Connect (OSTI)

    Anderson, Bruce T.; Knight, Jeff R.; Ringer, Mark A.; Yoon, Jin-Ho; Cherchi, Annalisa

    2012-10-15T23:59:59.000Z

    Global-scale variations in the climate system over the last half of the twentieth century, including long-term increases in global-mean near-surface temperatures, are consistent with concurrent human-induced emissions of radiatively active gases and aerosols. However, such consistency does not preclude the possible influence of other forcing agents, including internal modes of climate variability or unaccounted for aerosol effects. To test whether other unknown forcing agents may have contributed to multidecadal increases in global-mean near-surface temperatures from 1950 to 2000, data pertaining to observed changes in global-scale sea surface temperatures and observed changes in radiatively active atmospheric constituents are incorporated into numerical global climate models. Results indicate that the radiative forcing needed to produce the observed long-term trends in sea surface temperaturesand global-mean near-surface temperaturesis provided predominantly by known changes in greenhouse gases and aerosols. Further, results indicate that less than 10% of the long-term historical increase in global-mean near-surface temperatures over the last half of the twentieth century could have been the result of internal climate variability. In addition, they indicate that less than 25%of the total radiative forcing needed to produce the observed long-term trend in global-mean near-surface temperatures could have been provided by changes in net radiative forcing from unknown sources (either positive or negative). These results, which are derived from simple energy balance requirements, emphasize the important role humans have played in modifying the global climate over the last half of the twentieth century.

  11. Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    a purpose and need statement is put together for the Grande Prairie Wind Project. PDF CHP Units in Washington State This is data taken from the website http:www.eea-inc.com...

  12. Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision hasda62829c05b No revision hasDatabus - QSubmit Order

  13. Assessing Spatial and Attribute Errors of Input Data in Large National Datasets for use in Population Distribution Models

    SciTech Connect (OSTI)

    Patterson, Lauren A [ORNL; Urban, Marie L [ORNL; Myers, Aaron T [ORNL; Bhaduri, Budhendra L [ORNL; Bright, Eddie A [ORNL; Coleman, Phil R [ORNL

    2007-01-01T23:59:59.000Z

    Geospatial technologies and digital data have developed and disseminated rapidly in conjunction with increasing computing performance and internet availability. The ability to store and transmit large datasets has encouraged the development of national datasets in geospatial format. National datasets are used by numerous agencies for analysis and modeling purposes because these datasets are standardized, and are considered to be of acceptable accuracy. At Oak Ridge National Laboratory, a national population model incorporating multiple ancillary variables was developed and one of the inputs required is a school database. This paper examines inaccuracies present within two national school datasets, TeleAtlas North America (TANA) and National Center of Education Statistics (NCES). Schools are an important component of the population model, because they serve as locations containing dense clusters of vulnerable populations. It is therefore essential to validate the quality of the school input data, which was made possible by increasing national coverage of high resolution imagery. Schools were also chosen since a 'real-world' representation of K-12 schools for the Philadelphia School District was produced; thereby enabling 'ground-truthing' of the national datasets. Analyses found the national datasets not standardized and incomplete, containing 76 to 90% of existing schools. The temporal accuracy of enrollment values of updating national datasets resulted in 89% inaccuracy to match 2003 data. Spatial rectification was required for 87% of the NCES points, of which 58% of the errors were attributed to the geocoding process. Lastly, it was found that by combining the two national datasets together, the resultant dataset provided a more useful and accurate solution. Acknowledgment Prepared by Oak Ridge National Laboratory, P.O. Box 2008, Oak Ridge, Tennessee 37831-6285, managed by UT-Battelle, LLC for the U. S. Department of Energy undercontract no. DEAC05-00OR22725. Copyright This manuscript has been authored by employees of UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the U.S. Department of Energy. Accordingly, the United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.

  14. The Earth System Grid Center for Enabling Technologies: Focusing Technologies on Climate Datasets and Resource Needs

    SciTech Connect (OSTI)

    Williams, Dean N. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

    2007-09-26T23:59:59.000Z

    This report discusses a project that used prototyping technology to access and analyze climate data. This project was initially funded under the DOEs Next Generation Internet (NGI) program, with follow-on support from BER and the Mathematical, Information, and Computational Sciences (MICS) office. In this prototype, we developed Data Grid technologies for managing the movement and replication of large datasets, and applied these technologies in a practical setting (i.e., an ESG-enabled data browser based on current climate data analysis tools), achieving cross-country transfer rates of more than 500 Mb/s. Having demonstrated the potential for remotely accessing and analyzing climate data located at sites across the U.S., we won the Hottest Infrastructure award in the Network Challenge event. While the ESG I prototype project substantiated a proof of concept (Turning Climate Datasets into Community Resources), the SciDAC Earth System Grid (ESG) II project made this a reality. Our efforts targeted the development of metadata technologies (standard schema, XML metadata extraction based on netCDF, and a Metadata Catalog Service), security technologies (Web-based user registration and authentication, and community authorization), data transport technologies (GridFTPenabled OPeNDAP-G for high-performance access, robust multiple file transport and integration with mass storage systems, and support for dataset aggregation and subsetting), as well as web portal technologies to provide interactive access to climate data holdings. At this point, the technology was in place and assembled, and ESG II was poised to make a substantial impact on the climate modelling community.

  15. FISSION REACTORS KEYWORDS: high-temperature

    E-Print Network [OSTI]

    Yildiz, Bilge

    that is directly cou- pled to an advanced gas-cooled reactor (AGR) is pro- posed in this paper. The system features conversion system, and the progress in the electrolysis cell materials field can help the econom- ical by a supercritical CO2 ~SCO2! power conversion system that is directly coupled to an advanced gas-cooled reactor

  16. TRITIUM SYSTEMS KEYWORDS: tritium fuel cycle, re-

    E-Print Network [OSTI]

    Abdou, Mohamed

    FUSION REACTORS WILLIAM KUAN and MOHAMED A. ABDOU* University of California at Los Angeles, School in detail by Abdou et al.1 The value Lr is the required tritium breeding ratio ~TBR!, and La a simplified first-order linear system model, which made use of mean tritium residence times*E-mail: abdou

  17. Inky : Internet keywords with user feedback

    E-Print Network [OSTI]

    Chou, Victoria H. (Victoria Hsiao-tsung)

    2008-01-01T23:59:59.000Z

    The web today is accessed primarily through graphical user interfaces although some of its functionality can be more efficiently invoked through a command line interface. This thesis presents Inky, a sloppy command line ...

  18. Keywords Matrix Factorizations and Updates, Block Structured ...

    E-Print Network [OSTI]

    2010-08-11T23:59:59.000Z

    Aug 11, 2010 ... T i Di ?ggT = Ai ?DT i Di ?ddT = VT i Vi ?ddT. (72) with a vector d = 1 ?n. (DT i v?

  19. Keyword query interpretation over structured data

    E-Print Network [OSTI]

    Nejdl, Wolfgang

    Write TID AID PID Paper TID Cite TID PID1 V = {Author, Write, Paper, Cite} E = {Author.TID -> Write.AID, Paper.TID -> Write.PID, Paper.TID -> Cite.PID1, Paper.TID -> Cite.PID2} Primary keys: Author.TID, Write.TID. Paper.TID, Cite.TID Text attributes: Author.Name, Paper.Title 7 PID TID Title PID1 PID2 Elena Demidova

  20. The Market for Keywords and Ran Spiegler

    E-Print Network [OSTI]

    Levit, Anna

    match" function determines the probability with which a firm will enter the consumer's search pool outcome. We provide necessary and sufficient conditions, in terms of the underlying search cost of their wants and their actual wants. Consumers consult a search engine by entering a query, which is typically

  1. Index des mots-cls Keywords index

    E-Print Network [OSTI]

    Boyer, Edmond

    , 445 circum-Mediterranean firs, 823 climate, 439 climate change, 823 climate gradient, 1 climatic maximal light driven electron flow, 163 mechanical property, 317 mechanical strength, 129 Mediterranean

  2. International H2O Project (IHOP) 2002: Datasets Related to Atmospheric Moisture and Rainfall Prediction

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Schanot, Allen [IHOP 2002 PI; Friesen, Dick [IHOP 2002 PI

    IHOP 2002 was a field experiment that took place over the Southern Great Plains of the United States from 13 May to 25 June 2002. The chief aim of IHOP_2002 was improved characterization of the four-dimensional (4-D) distribution of water vapor and its application to improving the understanding and prediction of convection. The region was an optimal location due to existing experimental and operational facilities, strong variability in moisture, and active convection [copied from http://www.eol.ucar.edu/projects/ihop/]. The project's master list of data identifies 146 publicly accessible datasets.

  3. Evaluating socio-economic state of a country analyzing airtime credit and mobile phone datasets

    E-Print Network [OSTI]

    Gutierrez, Thoralf; Blondel, Vincent D

    2013-01-01T23:59:59.000Z

    Reliable statistical information is important to make political decisions on a sound basis and to help measure the impact of policies. Unfortunately, statistics offices in developing countries have scarce resources and statistical censuses are therefore conducted sporadically. Based on mobile phone communications and history of airtime credit purchases, we estimate the relative income of individuals, the diversity and inequality of income, and an indicator for socioeconomic segregation for fine-grained regions of an African country. Our study shows how to use mobile phone datasets as a starting point to understand the socio-economic state of a country, which can be especially useful in countries with few resources to conduct large surveys.

  4. A 20-Year Dataset of Downwelling Longwave Flux at the Arctic Surface from TOVS Satellite Data

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032) -Less isNFebruaryOctober 2, AlgeriaQ1 Q2 Q3 Ut NOTICE20-Year Dataset

  5. Energy Generation by State and Technology (2009) - Datasets - OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOEHazel Crest,EnergySerranopolis Jump to:Econ IncIRENADelhiFocusDatasets

  6. Evaluation of Global Monsoon Precipitation Changes based on Five Reanalysis Datasets

    SciTech Connect (OSTI)

    Lin, Renping; Zhou, Tianjun; Qian, Yun

    2014-02-01T23:59:59.000Z

    With the motivation to identify whether or not a reasonably simulated atmospheric circulation would necessarily lead to a successful reproduction of monsoon precipitation, the performances of five sets of reanalysis data (NCEP2, ERA40, JRA25, ERA-Interim and MERRA) in reproducing the climatology, interannual variation and long-term trend of global monsoon (GM) precipitation are comprehensively evaluated. In order to better understand the variability and long-term trend of GM precipitation, we also examined the major components of water budget, including evaporation, water vapor convergence and the change in local water vapor storage, based on five reanalysis datasets. The results show that all five reanalysis data reasonably reproduce the climatology of GM precipitation. The ERA-Interim (NCEP2) shows the highest (lowest) skill among the five datasets. The observed GM precipitation shows an increasing tendency during 1979-2001 along with a strong interannual variability, which is reasonably reproduced by the five sets of reanalysis data. The observed increasing trend of GM precipitation is dominated by the contribution from the North African, North American and Australian monsoons. All five data fail in reproducing the increasing tendency of North African monsoon precipitation. The wind convergence term in water budget equation dominate the GM precipitation variation, indicating a consistency between the GM precipitation and the seasonal change of prevailing wind.

  7. Fact #854 January 5, 2015 Driving Ranges for All-Electric Vehicles in Model Year 2014 Vary from 62 to 265 Miles Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Driving Ranges for All-Electric Vehicles in Model Year 2014 Vary from 62 to 265 Miles

  8. Fact #848: November 24, 2014 Nearly Three-Fourths of New Cars have Fuel Economy above 25 Miles per Gallon- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #848: November 24, 2014 Nearly Three-Fourths of New Cars have Fuel Economy above 25 Miles per Gallon

  9. Fact #863 March 9, 2015 Crude Oil Accounts for the Majority of Primary Energy Imports while Exports are Mostly Petroleum Products Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Crude Oil Accounts for the Majority of Primary Energy Imports while Exports are Mostly Petroleum Products

  10. Fact #836: September 1, 2014 Non-OPEC Countries Supply Nearly Two-thirds of U.S. Petroleum Imports Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #836: Non-OPEC Countries Supply Nearly Two-thirds of U.S. Petroleum Imports

  11. Fact #832: August 4, 2014 Over Half of the Refueling Stations in the U.S. and Canada Sell Diesel Fuel- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #832: Over Half of the Refueling Stations in the U.S. and Canada Sell Diesel Fuel

  12. Fact #849: December 1, 2014 Midsize Hybrid Cars Averaged 51% Better Fuel Economy than Midsize Non-Hybrid Cars in 2014- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #849: December 1, 2014 Midsize Hybrid Cars Averaged 51% Better Fuel Economy than Midsize Non-Hybrid Cars in 2014

  13. Low-altitude remote sensing dataset of DEM and RGB mosaic for AB corridor on July 13 2013 and L2 corridor on July 21 2013

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Baptiste Dafflon

    Low-altitude remote sensing dataset including DEM and RGB mosaic for AB (July 13 2013) and L2 corridor (July 21 2013)

  14. Fact #852 December 22, 2014 Turbocharged Engines Account for 64.7% of all Four-Cylinder Gasoline Car Engines in 2014- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #852 December 22, 2014 Turbocharged Engines Account for 64.7% of all Four-Cylinder Gasoline Car Engines in 2014

  15. Efficacy and Toxicity of Chemoradiotherapy Using Intensity-Modulated Radiotherapy for Unknown Primary of Head and Neck

    SciTech Connect (OSTI)

    Sher, David J., E-mail: dsher@lroc.harvard.edu [Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA (United States); Balboni, Tracy A. [Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA (United States); Haddad, Robert I. [Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA (United States); Department of Medicine, Brigham and Women's Hospital, Boston, MA (United States); Norris, Charles M. [Department of Surgery, Division of Otolaryngology, Brigham and Women's Hospital, Boston, MA (United States); Posner, Marshall R. [Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA (United States); Department of Medicine, Brigham and Women's Hospital, Boston, MA (United States); Wirth, Lori J. [Department of Medical Oncology, Massachusetts General Hospital, Boston, MA (United States); Goguen, Laura A.; Annino, Donald [Department of Surgery, Division of Otolaryngology, Brigham and Women's Hospital, Boston, MA (United States); Tishler, Roy B. [Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA (United States)

    2011-08-01T23:59:59.000Z

    Purpose: No single standard treatment paradigm is available for head-and-neck squamous cell carcinoma of an unknown primary (HNCUP). Bilateral neck radiotherapy with mucosal axis irradiation is widely used, with or without chemotherapy and/or surgical resection. Intensity-modulated radiotherapy (IMRT) is a highly conformal method for delivering radiation that is becoming the standard of care and might reduce the long-term treatment-related sequelae. We report the Dana-Farber Cancer Institute experience with IMRT-based treatment for HNCUP. Patients and Materials: A retrospective study of all patients treated at the Dana-Farber Cancer Institute for HNCUP with IMRT between August 2004 and January 2009. The primary endpoint was overall survival; the secondary endpoints were locoregional and distant control, and acute and chronic toxicity. Results: A total of 24 patients with HNCUP were included. Of these patients, 22 had Stage N2 disease or greater. All patients underwent neck computed tomography, positron emission tomography-computed tomography, and examination under anesthesia with directed biopsies. Of the 24 patients, 22 received concurrent chemotherapy, and 7 (29%) also underwent induction chemotherapy. The median involved nodal dose was 70 Gy, and the median mucosal dose was 60 Gy. With a median follow-up of 2.1 years, the 2-year actuarial overall survival and locoregional control rate was 92% and 100%, respectively. Only 25% of the patients had Grade 2 xerostomia, although 11 patients (46%) required esophageal dilation for stricture. Conclusion: In a single-institution series, IMRT-based chemoradiotherapy for HNCUP was associated with superb overall survival and locoregional control. The xerostomia rates were promising, but the aggressive therapy was associated with significant rates of esophageal stenosis.

  16. Functional outcome and survival after radiotherapy of metastatic spinal cord compression in patients with cancer of unknown primary

    SciTech Connect (OSTI)

    Rades, Dirk [Department of Radiation Oncology, University Hospital Schleswig-Holstein, Luebeck (Germany)]. E-mail: Rades.Dirk@gmx.net; Fehlauer, Fabian [Department of Radiation Oncology, University Medical Center Hamburg-Eppendorf, Hamburg (Germany); Veninga, Theo [Department of Radiation Oncology, Dr. Bernard Verbeeten Institute, Tilburg (Netherlands); Stalpers, Lukas J.A. [Department of Radiotherapy, Academic Medical Center, Amsterdam (Netherlands); Basic, Hiba [Department of Radiotherapy, University Hospital, Sarajevo (Bosnia and Herzegowina); Hoskin, Peter J. [Department of Clinical Oncology, Mount Vernon Cancer Centre, Northwood (United Kingdom); Rudat, Volker [Department of Radiation Oncology, St. Josef Hospital, Ruhr University, Bochum (Germany); Karstens, Johann H. [Department of Radiation Oncology, Hannover Medical School (Germany); Schild, Steven E. [Department of Radiation Oncology, Mayo Clinic, Scottsdale, Arizona (United States); Dunst, Juergen [Department of Radiation Oncology, University Hospital Schleswig-Holstein, Luebeck (Germany)

    2007-02-01T23:59:59.000Z

    Purpose: Patients with cancer of unknown primary (CUP) account for about 10% of patients with metastatic spinal cord compression (MSCC). This study aims to define the appropriate radiation regimen for these patients. Methods and Materials: Data of 143 CUP patients irradiated for MSCC were retrospectively evaluated. Short-course radiotherapy (RT) (1x8 Gy, 5x4 Gy, n = 68) and long-course RT (10x3 Gy, 15x2.5 Gy, 20x2 Gy, n = 75) plus 8 further potential prognostic factors (age, gender, performance status, visceral metastases, other bone metastases, number of involved vertebrae, ambulatory status, time of developing motor deficits before RT) were compared for functional outcome and survival. Results: Improvement of motor function occurred in 10% of patients, no further progression of motor deficits in 57%, and deterioration in 33%. On multivariate analysis, functional outcome was positively associated with slower development of motor deficits (p < 0.001), absence of visceral metastases (p = 0.008) and other bone metastases (p = 0.027), and ambulatory status (p = 0.054), not with the radiation regimen (p = 0.74). Recurrence of MSCC in the irradiated region occurred in 7 patients after median 6 months. Median survival was 4 months. On multivariate analysis, better survival was significantly associated with absence of visceral metastases (p < 0.001), absence of other bone metastases (p = 0.005), ambulatory status (p = 0.001), and slower development of motor deficits (p = 0.030). Conclusions: For MSCC treatment in patients with CUP, no significant difference was observed between short-course and long-course RT regarding functional outcome and survival. Short-course RT appears preferable, at least for patients with a poor predicted survival, as it is more patient convenient and more cost-effective.

  17. Using Graphs for Fast Error Term Approximation of Time-varying Datasets

    SciTech Connect (OSTI)

    Nuber, C; LaMar, E C; Pascucci, V; Hamann, B; Joy, K I

    2003-02-27T23:59:59.000Z

    We present a method for the efficient computation and storage of approximations of error tables used for error estimation of a region between different time steps in time-varying datasets. The error between two time steps is defined as the distance between the data of these time steps. Error tables are used to look up the error between different time steps of a time-varying dataset, especially when run time error computation is expensive. However, even the generation of error tables itself can be expensive. For n time steps, the exact error look-up table (which stores the error values for all pairs of time steps in a matrix) has a memory complexity and pre-processing time complexity of O(n2), and O(1) for error retrieval. Our approximate error look-up table approach uses trees, where the leaf nodes represent original time steps, and interior nodes contain an average (or best-representative) of the children nodes. The error computed on an edge of a tree describes the distance between the two nodes on that edge. Evaluating the error between two different time steps requires traversing a path between the two leaf nodes, and accumulating the errors on the traversed edges. For n time steps, this scheme has a memory complexity and pre-processing time complexity of O(nlog(n)), a significant improvement over the exact scheme; the error retrieval complexity is O(log(n)). As we do not need to calculate all possible n2 error terms, our approach is a fast way to generate the approximation.

  18. \\\\server05\\productn\\C\\CJP\\14-1\\CJP102.txt unknown Seq: 1 24-FEB-05 17:48 REGULATING OFFSHORE WIND POWER AND

    E-Print Network [OSTI]

    Firestone, Jeremy

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97 R C. DIFFERENCES IN THE E.U. AND U.S. WITH RESPECT TO OFFSHORE WIND FARMS\\\\server05\\productn\\C\\CJP\\14-1\\CJP102.txt unknown Seq: 1 24-FEB-05 17:48 REGULATING OFFSHORE WIND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 R A. OFFSHORE AQUACULTURE (MARICULTURE) . . . . . . . . . . . 74 R B. OFFSHORE WIND POWER

  19. Distributed Broadcast Scheduling in Mobile Ad Hoc Networks with Unknown Guang Tan, Stephen A. Jarvis, James W. J. Xue, and Simon D. Hammond

    E-Print Network [OSTI]

    Jarvis, Stephen

    Distributed Broadcast Scheduling in Mobile Ad Hoc Networks with Unknown Topologies Guang Tan. In this paper we study the distributed broadcast schedul- ing problem in ad hoc networks. In broadcasting is a fundamental communication task in mobile ad hoc networks, and minimizing broadcasting time (or latency

  20. An Interactive Visualization Model for Large High-dimensional Datasets Division of Computing and Mathematics,University of Houston-Clear Lake,

    E-Print Network [OSTI]

    Ding, Wei

    An Interactive Visualization Model for Large High-dimensional Datasets Wei Ding Division of complex data, which is especially helpful for analysis of large high dimensional datasets. However, existing methods often lose simplicity and clarity while rendering large amount of complex data

  1. Volume rendering at interactive frame rates remains a chal-lenge, especially with today's increasingly large datasets. We pro-

    E-Print Network [OSTI]

    Crawfis, Roger

    Abstract Volume rendering at interactive frame rates remains a chal- lenge, especially with today's increasingly large datasets. We pro- pose a framework, using concepts from Image-Based Rendering (IBR), that decreases the required framerate for the volume ren- derer significantly. All the volume renderer needs

  2. Volume rendering at interactive frame rates remains a chal-lenge, especially with today's increasingly large datasets. We pro-

    E-Print Network [OSTI]

    Mueller, Klaus

    1 Abstract Volume rendering at interactive frame rates remains a chal- lenge, especially with today's increasingly large datasets. We pro- pose a framework, using concepts from Image-Based Rendering (IBR), that decreases the required framerate for the volume ren- derer significantly. All the volume renderer needs

  3. The exploration of massive multi-wavelength astronomical datasets: the case of AGNS in the Chandra Source Catalog

    E-Print Network [OSTI]

    D?Abrusco, Raffaele

    library. Different datasets obtained starting from samples of AGNs selected with different methods classification is available.This approach yields two advantages over the traditional study of low- dimensional.g., classification indices). A technique already applied to the problem of extraction of optical candidate quasars

  4. A graphical presentation of signal delays in the datasets of Weihs et al

    E-Print Network [OSTI]

    Morgan, Peter

    2012-01-01T23:59:59.000Z

    A graphical presentation of the timing of avalanche photodiode events in the datasets from the experiment of Weihs et al. [Phys. Rev. Lett. 81, 5039 (1998)] makes manifest the existence of two types of signal delay: (1) The introduction of rapid switching of the input to a pair of transverse electro-optical modulators causes a delay of approximately 20 nanoseconds for a proportion of coincident avalanche photodiode events; this effect has been previously noted, but a different cause is suggested by the data as considered here. (2) There are delays that depend on in which avalanche photodiode an event occurs; this effect has also been previously noted even though it is only strongly apparent when the relative time difference between avalanche photodiode events is near the stated 0.5 nanosecond accuracy of the timestamps (but it is identifiable because of 75 picosecond resolution). The cause of the second effect is a difference between signal delays for the four avalanche photodiodes, for which correction can b...

  5. A Faster Parallel Algorithm and Efficient Multithreaded Implementations for Evaluating Betweenness Centrality on Massive Datasets

    SciTech Connect (OSTI)

    Madduri, Kamesh; Ediger, David; Jiang, Karl; Bader, David A.; Chavarra-Miranda, Daniel

    2009-05-29T23:59:59.000Z

    We present a new lock-free parallel algorithm for computing betweenness centrality of massive small-world networks. With minor changes to the data structures, our algorithm also achieves better spatial cache locality compared to previous approaches. Betweenness centrality is a key algorithm kernel in the HPCS SSCA#2 Graph Analysis benchmark, which has been extensively used to evaluate the performance of emerging high-performance computing architectures for graph-theoretic computations. We design optimized implementations of betweenness centrality and the SSCA#2 benchmark for two hardware multithreaded systems: a Cray XMT system with the ThreadStorm processor, and a single-socket Sun multicore server with the UltraSparc T2 processor. For a small-world network of 134 million vertices and 1.073 billion edges, the 16-processor XMT system and the 8-core Sun Fire T5120 server achieve TEPS scores (an algorithmic performance count for the SSCA#2 benchmark) of 160 million and 90 million respectively, which corresponds to more than a 2X performance improvement over the previous parallel implementations. To better characterize the performance of these multithreaded systems, we correlate the SSCA#2 performance results with data from the memory-intensive STREAM and RandomAccess benchmarks. Finally, we demonstrate the applicability of our implementation to analyze massive real-world datasets by computing approximate betweenness centrality for a large-scale IMDb movie-actor network.

  6. A Faster Parallel Algorithm and Efficient Multithreaded Implementations for Evaluating Betweenness Centrality on Massive Datasets

    SciTech Connect (OSTI)

    Madduri, Kamesh; Ediger, David; Jiang, Karl; Bader, David A.; Chavarria-Miranda, Daniel

    2009-02-15T23:59:59.000Z

    We present a new lock-free parallel algorithm for computing betweenness centralityof massive small-world networks. With minor changes to the data structures, ouralgorithm also achieves better spatial cache locality compared to previous approaches. Betweenness centrality is a key algorithm kernel in HPCS SSCA#2, a benchmark extensively used to evaluate the performance of emerging high-performance computing architectures for graph-theoretic computations. We design optimized implementations of betweenness centrality and the SSCA#2 benchmark for two hardware multithreaded systems: a Cray XMT system with the Threadstorm processor, and a single-socket Sun multicore server with the UltraSPARC T2 processor. For a small-world network of 134 million vertices and 1.073 billion edges, the 16-processor XMT system and the 8-core Sun Fire T5120 server achieve TEPS scores (an algorithmic performance count for the SSCA#2 benchmark) of 160 million and 90 million respectively, which corresponds to more than a 2X performance improvement over the previous parallel implementations. To better characterize the performance of these multithreaded systems, we correlate the SSCA#2 performance results with data from the memory-intensive STREAM and RandomAccess benchmarks. Finally, we demonstrate the applicability of our implementation to analyze massive real-world datasets by computing approximate betweenness centrality for a large-scale IMDb movie-actor network.

  7. In academia Not in academia Not working or studying Unknown *PhD students received their award in financial year 2003/04.

    E-Print Network [OSTI]

    Rambaut, Andrew

    In academia Not in academia Not working or studying Unknown *PhD students received their award in financial year 2003/04. SP-5666/01-2013/PE Wave 1 PhD Wave 2 Wave 3 Wave 5 Wave 4 2009 2010 2011 2013 2012 PhD students (cohort 2003/04) join Wave 1 of BSCT Total cohort 2003/04 Former PhD students (cohort

  8. Use of datasets derived from time-series AVHRR imagery as surrogates for land cover maps in predicting species' distributions

    E-Print Network [OSTI]

    Egbert, Stephen L.; Martí nez-Meyer, Enrique; Ortega-Huerta, Miguel; Peterson, A. Townsend

    2002-06-01T23:59:59.000Z

    to be the case, it may be possible to use AVHRR, MODIS, or similar imagery, either in raw form or as easily and cheaply derived datasets, as direct inputs to models that predict species distributions. II. METHODS In this pilot analysis, we selected... for Advanced Computational Infrastructure, Earth System Science (NPACI/ESS) Thrust. E.M-M. was supported by a graduate fellowship from the Direccion General de Asuntos del Personal Academico of the National University of Mexico (UNAM...

  9. Indoor carbon dioxide concentrations and sick building syndrome symptoms in the BASE study revisited: Analyses of the 100 building dataset

    SciTech Connect (OSTI)

    Erdmann, Christine A.; Steiner, Kate C.; Apte, Michael G.

    2002-02-01T23:59:59.000Z

    In previously published analyses of the 41-building 1994-1996 USEPA Building Assessment Survey and Evaluation (BASE) dataset, higher workday time-averaged indoor minus outdoor CO{sub 2} concentrations (dCO{sub 2}) were associated with increased prevalence of certain mucous membrane and lower respiratory sick building syndrome (SBS) symptoms, even at peak dCO{sub 2} concentrations below 1,000 ppm. For this paper, similar analyses were performed using the larger 100-building 1994-1998 BASE dataset. Multivariate logistic regression analyses quantified the associations between dCO{sub 2} and the SBS symptoms, adjusting for age, sex, smoking status, presence of carpet in workspace, thermal exposure, relative humidity, and a marker for entrained automobile exhaust. Adjusted dCO{sub 2} prevalence odds ratios for sore throat and wheeze were 1.17 and 1.20 per 100-ppm increase in dCO{sub 2} (p <0.05), respectively. These new analyses generally support our prior findings. Regional differences in climate, building design, and operation may account for some of the differences observed in analyses of the two datasets.

  10. VecFinder: Automated de novo identification and removal of vector and adapter sequence from genomic datasets

    SciTech Connect (OSTI)

    Zhang, Michael Y.; Tu, Hank; Shapiro, Harris; Platt, Darren

    2007-05-04T23:59:59.000Z

    High-throughput Sanger sequencing requires DNA to be inserted into bacterial vectors for biological amplification. Adapter or linker oligonucleotides may also be attached to target DNA fragments to facilitate insertion into the vector. These vector and adapter sequences are sequenced concomitantly with the target, or insert, sequence and represent contamination which must be removed from the dataset prior to analysis. Removal of such contamination can be accomplished by screening the dataset against the known sequence of the vector and adapter used to generate the data. However, often in the case of public or collaborator datasets, information regarding these contaminant sequences may be incorrect or absent, resulting in an incomplete screening. We've created a piece of software, VecFinder, which is able to identify the sequence of the vector and adapter from the read sequences alone and subsequently remove it. This alleviates the dependence on the library creators to provide the vector and adapter sequences used for the library. It also automates the previously manual task of identifying and screening the adapter or linker sequence, which can be tedious and time-consuming

  11. Projecting Continental U.S. Water Stress Based on Global Datasets

    SciTech Connect (OSTI)

    Parish, Esther S [ORNL; Kodra, Evan [Northeastern University; Steinhaeuser, Karsten [University of Minnesota; Ganguly, Auroop R [Northeastern University

    2012-01-01T23:59:59.000Z

    Human populations may be adversely impacted by water stress, a situation which is commonly defined as a per capita water availability of less than 1700 cubic meters of freshwater per person per year. Water stress may result from either overuse of available freshwater resources or a reduction in the amount of available water due to decreases in rainfall and stored water supplies. Analyzing the interrelationship between human populations and water availability is complicated by the uncertainties associated with climate change projections and population projections. We have developed a simple methodology to integrate disparate climate and population data sources and develop first-order per capita water availability projections at the global scale. Simulations from the coupled land-ocean-atmosphere Community Climate System Model version 3 (CCSM3) forced with a range of hypothetical greenhouse gas emissions scenarios have been used to project grid-based changes in precipitation minus evapotranspiration as proxies for changes in runoff, or fresh water supply. Population growth changes, according to Intergovernmental Panel on Climate Change (IPCC) storylines, have been used as proxies for changes in fresh water demand by 2025, 2050 and 2100. These freshwater supply and demand projections have then been combined to yield estimates of per capita water availability aggregated by U.S. watershed. Results suggest that important insights might be extracted from the use of the process developed here, including the identification of potentially vulnerable areas in need of more detailed analysis. This high-level analysis also illustrates the relative importance of population growth versus climate change in in altering future freshwater supplies. However, these are only exemplary insights and, as such, could be considered hypotheses that should be rigorously tested with multiple climate models, multiple observational climate datasets, and more comprehensive population growth projections.

  12. Accurate Analysis of Large Datasets of Protein-Ligand Binding Geometries Using a Linear Clustering Method Based on MapReduce

    E-Print Network [OSTI]

    Maccabe, Barney

    are traditionally scored based on energy values. A protein-ligand complex selected because Accurate Analysis of Large Datasets of Protein-Ligand Binding Geometries for classifying protein-ligand binding geometries in molecular docking. We analyze results

  13. Constructing a Merged CloudPrecipitation Radar Dataset for Tropical Convective Clouds during the DYNAMO/AMIE Experiment at Addu Atoll

    E-Print Network [OSTI]

    of observations from three radars--the S-band dual-polarization Doppler radar (S-Pol), the C-band Shared Mobile, and radiative heating rate retrievals. With this dataset the full spectrum of tropical convective clouds during, U.S. Department of Energy, Washington, D.C. Corresponding author address: Dr. Zhe Feng, Pacific

  14. Figure 1. Inner Asia and Mongolia showing active survey datasets. (1) Darkhat-Muron, (2) the Khanui and Terhiyn Valleys, and (3) Baga Gazaryn Chuluu.

    E-Print Network [OSTI]

    George Mason University

    Figure 1. Inner Asia and Mongolia showing active survey datasets. (1) Darkhat- Muron, (2 of Sciences, Ulanbataar, Mongolia 1. MOTIVATION AND PURPOSE Inner Asia is the heartland of the Old World is essential. We define Inner Asia as composed of Mongolia, Inner Mongolia, Tibet, Manchuria, Eastern Turkestan

  15. National Library of Energy : Main View : Search Results for Keyword...

    Office of Scientific and Technical Information (OSTI)

    site. Website Policies and Important Links Search capabilities provided by DOEOSTI Deep Web Technologies Source Status Additional Results Available There are more results...

  16. Keywords: Lagrangian, drifter, temperature sensor, conductivity, gelbstoff, fluorometer, trajectories, Spiekeroog

    E-Print Network [OSTI]

    Oldenburg, Carl von Ossietzky Universitt

    barrier tidal flats and offshore areas by tidal fluxes. With the intention to design a drifter suitable island from the east, Spiekeroog island (Figure 1). The exploration of coastal currents Oldenburg #12;698 O. Puncken, T. Badewien & R. Reuter This is done with a concept similar to a "message

  17. Keywords: Aerodynamics, Phase Relationship, Photogram-metry, Odonata, Wing Kinematics

    E-Print Network [OSTI]

    Acton, Scott

    device that is within 1 inch to 1.5 feet in size and utilizes PNO[ HZ H WYPTHY` TVKL MVY TV[PVU ;OPZ compensated for lost force production by manipulating phase difference in a manner that increased lift

  18. Instruction Guide Shopping Using the Product Keyword Search

    E-Print Network [OSTI]

    Sheremet, Alexandru

    powerful search engine. Start with by entering an item into the search field and follow the steps outlined the Home/Shop tab at the top to start your search 3. To start searching for an item, enter the item in the search field include specific search terms, such as "latex-free gloves" instead of just "gloves

  19. Instruction Guide Shopping Using the Product Keyword Search

    E-Print Network [OSTI]

    Pilyugin, Sergei S.

    and add them to your cart. The Product Search is a very powerful search engine. Start with by entering in the flyout menu. 3. To start searching for an item, enter the item in the search field. Include specific search terms, such as "latex-free gloves" instead of just "gloves". The system is flexible with search

  20. National Library of Energy : Main View : Search Results for Keyword:

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem Not Found Item Not Found TheHot electron dynamicsAspenNOTRECSIVEP ev Tin

  1. National Library of Energy : Main View : Search Results for Keyword:

    Office of Scientific and Technical Information (OSTI)

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

  2. National Library of Energy : Main View : Search Results for Keyword:

    Office of Scientific and Technical Information (OSTI)

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

  3. National Library of Energy : Main View : Search Results for Keyword:

    Office of Scientific and Technical Information (OSTI)

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

  4. National Library of Energy : Main View : Search Results for Keyword:

    Office of Scientific and Technical Information (OSTI)

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

  5. National Library of Energy : Main View : Search Results for Keyword:

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronicCurves | SciTechLagrangeEnergy, Office"protein folding"

  6. National Library of Energy : Main View : Search Results for Keyword:

    Office of Scientific and Technical Information (OSTI)

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

  7. National Library of Energy : Main View : Search Results for Keyword:

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronicCurves | SciTechLagrangeEnergy, Office"proteinaerogel filters

  8. National Library of Energy : Main View : Search Results for Keyword:

    Office of Scientific and Technical Information (OSTI)

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

  9. National Library of Energy : Main View : Search Results for Keyword:

    Office of Scientific and Technical Information (OSTI)

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

  10. National Library of Energy : Main View : Search Results for Keyword:

    Office of Scientific and Technical Information (OSTI)

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

  11. National Library of Energy : Main View : Search Results for Keyword:

    Office of Scientific and Technical Information (OSTI)

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

  12. National Library of Energy : Main View : Search Results for Keyword:

    Office of Scientific and Technical Information (OSTI)

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

  13. DEVELOPING AND EXPLOITING A UNIQUE DATASET FROM SOUTH AFRICAN GOLD MINES FOR SOURCE CHARACTERIZATION AND WAVE PROPAGATION

    SciTech Connect (OSTI)

    Julia, J; Nyblade, A; Gok, R; Walter, W; Linzer, L; Durrheim, R

    2009-07-06T23:59:59.000Z

    In this project, we are developing and exploiting a unique seismic dataset to address the characteristics of small seismic events and the associated seismic signals observed at local (< 200 km) and regional (< 2000 km) distances. The dataset is being developed using mining-induced events from three deep gold mines in South Africa recorded on in-mine networks (< 1 km) composed of tens of high-frequency sensors, a network of four broadband stations installed as part of this project at the surface around the mines (1-10 km), and a network of existing broadband seismic stations at local/regional distances (50-1000 km) from the mines. Data acquisition has now been completed and includes: (1) {approx}2 years (2007 and 2008) of continuous recording by the surface broadband array, and (2) tens of thousands of mine tremors in the -3.4 < ML < 4.4 local magnitude range. Events with positive magnitudes are generally well recorded by the surface-mine stations, while magnitudes of 3.0 and larger are seen at regional distances (up to {approx} 600 km) in high-pass filtered recordings. We have now completed the quality control of the in-mine data gathered at the three gold mines included in this project. The quality control consisted of: (1) identification and analysis of outliers among the P- and S-wave travel-time picks reported by the in-mine network operator and (2) verification of sensor orientations. The outliers have been identified through a 'Wadati filter' that searches for the largest subset of P- and S-wave travel-time picks consistent with a medium of uniform wave-speed. They have observed that outliers are generally picked at a few select stations. They have also detected that trigger times were mistakenly reported as origin times by the in-mine network operator, and corrections have been obtained from the intercept times in the Wadati diagrams. Sensor orientations have been verified through rotations into the local ray-coordinate system and, when possible, corrected by correlating waveforms obtained from theoretical and empirical rotation angles. Full moment tensor solutions have been obtained for selected events within the Savuka network volume, with moment magnitudes in the 0.5 < M{sub W} < 2.6 range. The solutions were obtained by inverting P-, SV-, and SH-spectral amplitudes measured on the theoretically rotated waveforms with visually assigned polarities. Most of the solutions have a non-zero implosive contribution (47 out of 76), while a small percentage is purely deviatoric (10 out of 76). The deviatoric moment tensors range from pure double couple to pure non-double couple mechanisms. We have also calibrated the regional stations for seismic coda-derived source spectra and moment magnitude using the envelope methodology of Mayeda et al. (2003). they tie the coda M{sub w} to independent values from waveform modeling. The resulting coda-based source spectra of shallow mining-related events show significant spectral peaking that is not seen in deeper tectonic earthquakes. This coda peaking may be an independent method of identifying shallow events and is similar to coda peaking with previously observed for Nevada explosions, where the frequency of the observed spectral peak correlates with the depth of burial (Murphy et al., 2009).

  14. Fact #872: May 11, 2015 Study Finds More than 60% of Millennials and Generation Xers Use the Internet to Find a Car Dealer While Less than Half of Baby Boomers Did Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Study Finds More than 60% of Millennials and Generation Xers Use the Internet to Find a Car Dealer While Less than Half of Baby Boomers Did

  15. Fact #843: October 20, 2014 Cumulative Plug-in Electric Vehicle Sales are Two and a Half Times Higher than Hybrid Electric Vehicle Sales in the First 45 Months since Market Introduction Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #843: Cumulative Plug-in Electric Vehicle Sales are Two and a Half Times Higher than Hybrid Electric Vehicle Sales in the First 45 Months since Market Introduction

  16. Experimental Datasets - Optimization Online

    E-Print Network [OSTI]

    2005-03-29T23:59:59.000Z

    Mar 29, 2005 ... Preprint in Russian, see also the next paper in English, data and code in kcl, also ... Preprint in Russian, data and code in varcomp and in tdlib.

  17. Massive Datasets in Astronomy

    E-Print Network [OSTI]

    Brunner, R J; Prince, T A; Szalay, A S; Brunner, Robert J.; Prince, Thomas A.; Szalay, Alex S.

    2001-01-01T23:59:59.000Z

    Astronomy has a long history of acquiring, systematizing, and interpreting large quantities of data. Starting from the earliest sky atlases through the first major photographic sky surveys of the 20th century, this tradition is continuing today, and at an ever increasing rate. Like many other fields, astronomy has become a very data-rich science, driven by the advances in telescope, detector, and computer technology. Numerous large digital sky surveys and archives already exist, with information content measured in multiple Terabytes, and even larger, multi-Petabyte data sets are on the horizon. Systematic observations of the sky, over a range of wavelengths, are becoming the primary source of astronomical data. Numerical simulations are also producing comparable volumes of information. Data mining promises to both make the scientific utilization of these data sets more effective and more complete, and to open completely new avenues of astronomical research. Technological problems range from the issues of dat...

  18. Stalking the Wild Dataset

    E-Print Network [OSTI]

    Tsang, Daniel C

    2015-01-01T23:59:59.000Z

    data, now migrated to the Web without the need to downloaddatabase, click on DataInsight-Web on left menu. Time-seriesthe years that follow." - Web site. Making ConnectionsNOTE:

  19. Models and Datasets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'. William HirstLong-Term Market Penetration

  20. SU-E-I-87: Automated Liver Segmentation Method for CBCT Dataset by Combining Sparse Shape Composition and Probabilistic Atlas Construction

    SciTech Connect (OSTI)

    Li, Dengwang [Shandong Normal University, Jinan, Shandong Province (China); Liu, Li [Shandong Normal University, Jinan, Shandong (China); Chen, Jinhu; Li, Hongsheng [Shandong Cancer Hospital and Institute, Jinan, Shandong (China)

    2014-06-01T23:59:59.000Z

    Purpose: The aiming of this study was to extract liver structures for daily Cone beam CT (CBCT) images automatically. Methods: Datasets were collected from 50 intravenous contrast planning CT images, which were regarded as training dataset for probabilistic atlas and shape prior model construction. Firstly, probabilistic atlas and shape prior model based on sparse shape composition (SSC) were constructed by iterative deformable registration. Secondly, the artifacts and noise were removed from the daily CBCT image by an edge-preserving filtering using total variation with L1 norm (TV-L1). Furthermore, the initial liver region was obtained by registering the incoming CBCT image with the atlas utilizing edge-preserving deformable registration with multi-scale strategy, and then the initial liver region was converted to surface meshing which was registered with the shape model where the major variation of specific patient was modeled by sparse vectors. At the last stage, the shape and intensity information were incorporated into joint probabilistic model, and finally the liver structure was extracted by maximum a posteriori segmentation.Regarding the construction process, firstly the manually segmented contours were converted into meshes, and then arbitrary patient data was chosen as reference image to register with the rest of training datasets by deformable registration algorithm for constructing probabilistic atlas and prior shape model. To improve the efficiency of proposed method, the initial probabilistic atlas was used as reference image to register with other patient data for iterative construction for removing bias caused by arbitrary selection. Results: The experiment validated the accuracy of the segmentation results quantitatively by comparing with the manually ones. The volumetric overlap percentage between the automatically generated liver contours and the ground truth were on an average 88%95% for CBCT images. Conclusion: The experiment demonstrated that liver structures of CBCT with artifacts can be extracted accurately for following adaptive radiation therapy. This work is supported by National Natural Science Foundation of China (No. 61201441), Research Fund for Excellent Young and Middle-aged Scientists of Shandong Province (No. BS2012DX038), Project of Shandong Province Higher Educational Science and Technology Program (No. J12LN23), Jinan youth science and technology star (No.20120109)

  1. Low-altitude remote sensing dataset of DEM and RGB mosaic for AB corridor on July 13 2013 and L2 corridor on July 21 2013

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Baptiste Dafflon

    Low-altitude remote sensing dataset including DEM and RGB mosaic for AB (July 13 2013) and L2 corridor (July 21 2013).Processing flowchart for each corridor:Ground control points (GCP, 20.3 cm square white targets, every 20 m) surveyed with RTK GPS. Acquisition of RGB pictures using a Kite-based platform. Structure from Motion based reconstruction using hundreds of pictures and GCP coordinates. Export of DEM and RGB mosaic in geotiff format (NAD 83, 2012 geoid, UTM zone 4 north) with pixel resolution of about 2 cm, and x,y,z accuracy in centimeter range (less than 10 cm). High-accuracy and high-resolution inside GCPs zone for L2 corridor (500x20m), AB corridor (500x40) DEM will be updated once all GCPs will be measured. Only zones between GCPs are accurate although all the mosaic is provided.

  2. World Climate Research Programme (WCRP) Coupled Model Intercomparison Project phase 3 (CMIP3): Multi-Model Dataset Archive at PCMDI (Program for Climate Model Diagnosis and Intercomparison)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    In response to a proposed activity of the WCRP's Working Group on Coupled Modelling (WGCM),PCMDI volunteered to collect model output contributed by leading modeling centers around the world. Climate model output from simulations of the past, present and future climate was collected by PCMDI mostly during the years 2005 and 2006, and this archived data constitutes phase 3 of the Coupled Model Intercomparison Project (CMIP3). In part, the WGCM organized this activity to enable those outside the major modeling centers to perform research of relevance to climate scientists preparing the Fourth Asssessment Report (AR4) of the Intergovernmental Panel on Climate Change (IPCC). The IPCC was established by the World Meteorological Organization and the United Nations Environmental Program to assess scientific information on climate change. The IPCC publishes reports that summarize the state of the science. This unprecedented collection of recent model output is officially known as the WCRP CMIP3 multi-model dataset. It is meant to serve IPCC's Working Group 1, which focuses on the physical climate system - atmosphere, land surface, ocean and sea ice - and the choice of variables archived at the PCMDI reflects this focus. A more comprehensive set of output for a given model may be available from the modeling center that produced it. As of November 2007, over 35 terabytes of data were in the archive and over 303 terabytes of data had been downloaded among the more than 1200 registered users. Over 250 journal articles, based at least in part on the dataset, have been published or have been accepted for peer-reviewed publication. Countries from which models have been gathered include Australia, Canada, China, France, Germany and Korea, Italy, Japan, Norway, Russia, Great Britain and the United States. Models, variables, and documentation are collected and stored. Check http://www-pcmdi.llnl.gov/ipcc/data_status_tables.htm to see at a glance the output that is available. (Description taken from http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php)

  3. "The Exchange." Nguyen Quang Phuc, date unknown.

    E-Print Network [OSTI]

    Barrett, Jeffrey A.

    refugees detained in camps in Asia after the Vietnam War. Project Ngoc donated their rich materials' Spring 2012 exhibit, Hope of Freedom: Project Ngoc's Decade of Dedication. This inspiring exhibit chronicles the history and wide-reaching impact of Project Ngoc (Project Pearl), a UCI student

  4. WinterSpring 2013 BOSTONIA unknowns clouding

    E-Print Network [OSTI]

    Goldberg, Bennett

    newspapers and TV news until the internet era," says Fiedler (COM'71). "The Lack Professor will oversee of development and talent at Bravo TV and host of Watch What Happens Live, declared, "I'm so proud." (See page 60 & Bailey and Disney on Ice. As the music soared and the danc- ers were lifted aloft to fly over the ice

  5. Reuse Knowns and Unknowns Bill Frakes

    E-Print Network [OSTI]

    Christian, Eric

    . You need to measure reuse and document the payoff. 3. A phased implementation model is often a good plan. 4. You need to provide education. 5. Methods for domain engineering.. 6. Reuse design guidelines measures in finance models. 4. How to assure component safety. 5. How to measure component reliability. 6

  6. Robust strategies in an evolving unknown environment

    E-Print Network [OSTI]

    Combettes, Patrick Louis

    . 2) A state in S gives the distribution of fishes over the planet (Sestri Levante area) and the position of other fishing boats. The DM has to choose where to go fishing at each period. 3) S is the size of these prices. 2) A state in S gives the distribution of fishes over the planet (Sestri Levante area

  7. Learning Unknown Event Models Matthew Molineaux1

    E-Print Network [OSTI]

    Gupta, Kalyan Moy

    , which describes how the environment changes. We relax the completeness assumption; events occur in our an autonomous underwater vehicle (AUV) that detects an unexpected underwater oil plume for which it has no model of assumptions about the initial state. DISCOVERHISTOR

  8. Interval Analysis for Unknown Dependencies and Genetic

    E-Print Network [OSTI]

    : Power Systems Engineering Research Center Cornell University 428 Phillips Hall Ithaca, New York 14853 given to MidAmerican Energy for its support of this project. Thanks are also given to our industry advisors: O. Dale Stevens, II, MidAmerican Energy Co. John Thomas Chatelain, MidAmerican Energy Co. #12

  9. Overview of the HUPO Plasma Proteome Project: Results from the pilot phase with 35 collaborating laboratories and multiple analytical groups, generating a core dataset of 3020 proteins and a publicly-available database

    SciTech Connect (OSTI)

    Omenn, Gilbert; States, David J.; Adamski, Marcin; Blackwell, Thomas W.; Menon, Rajasree; Hermjakob, Henning; Apweiler, Rolf; Haab, Brian B.; Simpson, Richard; Eddes, James; Kapp, Eugene; Moritz, Rod; Chan, Daniel W.; Rai, Alex J.; Admon, Arie; Aebersold, Ruedi; Eng, Jimmy K.; Hancock, William S.; Hefta, Stanley A.; Meyer, Helmut; Paik, Young-Ki; Yoo, Jong-Shin; Ping, Peipei; Pounds, Joel G.; Adkins, Joshua N.; Qian, Xiaohong; Wang, Rong; Wasinger, Valerie; Wu, Chi Yue; Zhao, Xiaohang; Zeng, Rong; Archakov, Alexander; Tsugita, Akira; Beer, Ilan; Pandey, Akhilesh; Pisano, Michael; Andrews, Philip; Tammen, Harald; Speicher, David W.; Hanash, Samir M.

    2005-08-13T23:59:59.000Z

    HUPO initiated the Plasma Proteome Project (PPP) in 2002. Its pilot phase has (1) evaluated advantages and limitations of many depletion, fractionation, and MS technology platforms; (2) compared PPP reference specimens of human serum and EDTA, heparin, and citrate-anticoagulated plasma; and (3) created a publicly-available knowledge base (www.bioinformatics. med.umich.edu/hupo/ppp; www.ebi.ac.uk/pride). Thirty-five participating laboratories in 13 countries submitted datasets. Working groups addressed (a) specimen stability and protein concentrations; (b) protein identifications from 18 MS/MS datasets; (c) independent analyses from raw MS-MS spectra; (d) search engine performance, subproteome analyses, and biological insights; (e) antibody arrays; and (f) direct MS/SELDI analyses. MS-MS datasets had 15 710 different International Protein Index (IPI) protein IDs; our integration algorithm applied to multiple matches of peptide sequences yielded 9504 IPI proteins identified with one or more peptides and 3020 proteins identified with two or more peptides (the Core Dataset). These proteins have been characterized with Gene Ontology, InterPro, Novartis Atlas, OMIM, and immunoassay based concentration determinations. The database permits examination of many other subsets, such as 1274 proteins identified with three or more peptides. Reverse protein to DNA matching identified proteins for 118 previously unidentified ORFs. We recommend use of plasma instead of serum, with EDTA (or citrate) for anticoagulation. To improve resolution, sensitivity and reproducibility of peptide identifications and protein matches, we recommend combinations of depletion, fractionation, and MS/MS technologies, with explicit criteria for evaluation of spectra, use of search algorithms, and integration of homologous protein matches. This Special Issue of PROTEOMICS presents papers integral to the collaborative analysis plus many reports of supplementary work on various aspects of the PPP workplan. These PPP results on complexity, dynamic range, incomplete sampling, false-positive matches, and integration of diverse datasets for plasma and serum proteins lay a foundation for development and validation of circulating protein biomarkers in health and disease.

  10. Contribution of Road Grade to the Energy Use of Modern Automobiles Across Large Datasets of Real-World Drive Cycles: Preprint

    SciTech Connect (OSTI)

    Wood, E.; Burton, E.; Duran, A.; Gonder, J.

    2014-01-01T23:59:59.000Z

    Understanding the real-world power demand of modern automobiles is of critical importance to engineers using modeling and simulation to inform the intelligent design of increasingly efficient powertrains. Increased use of global positioning system (GPS) devices has made large scale data collection of vehicle speed (and associated power demand) a reality. While the availability of real-world GPS data has improved the industry's understanding of in-use vehicle power demand, relatively little attention has been paid to the incremental power requirements imposed by road grade. This analysis quantifies the incremental efficiency impacts of real-world road grade by appending high fidelity elevation profiles to GPS speed traces and performing a large simulation study. Employing a large real-world dataset from the National Renewable Energy Laboratory's Transportation Secure Data Center, vehicle powertrain simulations are performed with and without road grade under five vehicle models. Aggregate results of this study suggest that road grade could be responsible for 1% to 3% of fuel use in light-duty automobiles.

  11. Associations of indoor carbon dioxide concentrations and environmental susceptibilities with mucous membrane and lower respiratory building related symptoms in the BASE study: Analyses of the 100 building dataset

    SciTech Connect (OSTI)

    Erdmann, Christine A.; Apte, Michael G.

    2003-09-01T23:59:59.000Z

    Using the US EPA 100 office-building BASE Study dataset, they conducted multivariate logistic regression analyses to quantify the relationship between indoor CO{sub 2} concentrations (dCO{sub 2}) and mucous membrane (MM) and lower respiratory system (LResp) building related symptoms, adjusting for age, sex, smoking status, presence of carpet in workspace, thermal exposure, relative humidity, and a marker for entrained automobile exhaust. In addition, they tested the hypothesis that certain environmentally-mediated health conditions (e.g., allergies and asthma) confer increased susceptibility to building related symptoms within office buildings. Adjusted odds ratios (ORs) for statistically significant, dose-dependent associations (p < 0.05) for dry eyes, sore throat, nose/sinus congestion, and wheeze symptoms with 100 ppm increases in dCO{sub 2} ranged from 1.1 to 1.2. These results suggest that increases in the ventilation rates per person among typical office buildings will, on average, reduce the prevalence of several building related symptoms by up to 70%, even when these buildings meet the existing ASHRAE ventilation standards for office buildings. Building occupants with certain environmentally-mediated health conditions are more likely to experience building related symptoms than those without these conditions (statistically significant ORs ranged from 2 to 11).

  12. CHP Units in Washington State - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    CHP Units in Washington State This is data taken from the website http:www.eea-inc.comchpdataStatesWA.html on 232015 regarding the Cogeneration units in Washington State....

  13. Hydrogen Compatibility of Materials - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    the Technical Reference and the Technical Database is provided by the Safety, Codes and Standards program element of the Hydrogen and Fuel Cells Program, Office of Energy...

  14. Buildings Energy Data Book - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomassSustainable andBucoda, Washington: Energy(B2G) (Smart Grid Project)

  15. DOE Facility Database - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOE Facility Database Data and Resources DOE Facility DatabaseCSV Preview

  16. Annual Coal Consumption by Country - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat Place:Alvan2809328°,AnfuNorth, Texas: EnergyAnnouncingAnnual

  17. NREL RSF Weather Data 2011 - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer PlantMunhall, Pennsylvania: Energy Resources JumpNEFAppropriationReference ManualRSF Weather

  18. NREL Residential Buildings Group Partners - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer PlantMunhall, Pennsylvania: Energy Resources JumpNEFAppropriationReference ManualRSF

  19. Bhutan Solar Resources - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass ConversionsSouth Carolina:Energy LLC Place:BeverlyBeyWatchBhutan Solar

  20. Conductance Steamflow relationship - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, clickInformationNew| Open EnergyInformation Faulds,Concordia,

  1. Constructing a Merged Cloud-Precipitation Radar Dataset for Tropical Convective Clouds during the DYNAMO/AMIE Experiment at Addu Atoll

    SciTech Connect (OSTI)

    Feng, Zhe; McFarlane, Sally A.; Schumacher, Courtney; Ellis, Scott; Comstock, Jennifer M.; Bharadwaj, Nitin

    2014-05-16T23:59:59.000Z

    To improve understanding of the convective processes key to the Madden-Julian-Oscillation (MJO) initiation, the Dynamics of the MJO (DYNAMO) and Atmospheric Radiation Measurement MJO Investigation Experiment (AMIE) collected four months of observations from three radars, the S-band Polarization Radar (S-Pol), the C-band Shared Mobile Atmospheric Research & Teaching Radar (SMART-R), and Ka-band Zenith Radar (KAZR) on Addu Atoll in the tropical Indian Ocean. This study compares the measurements from the S-Pol and SMART-R to those from the more sensitive KAZR in order to characterize the hydrometeor detection capabilities of the two scanning precipitation radars. Frequency comparisons for precipitating convective clouds and non-precipitating high clouds agree much better than non-precipitating low clouds for both scanning radars due to issues in ground clutter. On average, SMART-R underestimates convective and high cloud tops by 0.3 to 1.1 km, while S-Pol underestimates cloud tops by less than 0.4 km for these cloud types. S-Pol shows excellent dynamic range in detecting various types of clouds and therefore its data are well suited for characterizing the evolution of the 3D cloud structures, complementing the profiling KAZR measurements. For detecting non-precipitating low clouds and thin cirrus clouds, KAZR remains the most reliable instrument. However, KAZR is attenuated in heavy precipitation and underestimates cloud top height due to rainfall attenuation 4.3% of the time during DYNAMO/AMIE. An empirical method to correct the KAZR cloud top heights is described, and a merged radar dataset is produced to provide improved cloud boundary estimates, microphysics and radiative heating retrievals.

  2. dataset | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapersWindey Wind Home Rmckeel's picturecontest Homedataset Home

  3. datasets | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapersWindey Wind Home Rmckeel's picturecontest Homedataset

  4. About - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEE Jump to: navigation, search40Georgia:SL JumpAREGAbout CKAN

  5. BP-12 Final Models Datasets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperationalAugustDecade Later: Are WeOverview:R A

  6. OpenEI Community - dataset

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil and GasOff

  7. OpenEI Community - datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil and GasOff

  8. From Key Numbers to Keywords: How Automation Has Transformed the Law

    E-Print Network [OSTI]

    Hanson, F. Allan

    2002-01-01T23:59:59.000Z

    HeinOnline -- 94 Law Libr. J. 563 2002 HeinOnline -- 94 Law Libr. J. 564 2002 HeinOnline -- 94 Law Libr. J. 565 2002 HeinOnline -- 94 Law Libr. J. 566 2002 HeinOnline -- 94 Law Libr. J. 567 2002 HeinOnline -- 94 Law Libr. J. 568 2002 Hein...Online -- 94 Law Libr. J. 569 2002 HeinOnline -- 94 Law Libr. J. 570 2002 HeinOnline -- 94 Law Libr. J. 571 2002 HeinOnline -- 94 Law Libr. J. 572 2002 HeinOnline -- 94 Law Libr. J. 573 2002 HeinOnline -- 94 Law Libr. J. 574 2002 HeinOnline -- 94 Law Libr. J...

  9. Private Information Retrieval by Keywords Benny Chor \\Lambda Niv Gilboa y Moni Naor z

    E-Print Network [OSTI]

    Private information retrieval (PIR) schemes enable a user to access one or more servers that hold copies or computational sense) on the identity of the item retrieved by the user. All known PIR schemes assume underlying PIR scheme (including single server schemes). The transformation requires no modification

  10. KeyQuery --A Front End for the Automatic Translation of Keywords into Structured Queries

    E-Print Network [OSTI]

    Erwig, Martin

    pages. For example, a user wants to buy a Honda car and he likes red and blue colors. So he might input ``red blue Honda'' to search the Internet to find some information. The default relation between'', and ``Honda'' will be returned as a result. Other useful pages, which contain only ``red'' and ``Honda

  11. Keywords: Monolithic Graphene, Low-Power, Switching )LOH]PVY )HUKNHW +YHPU )PHZ +VWPUN 7YVSL

    E-Print Network [OSTI]

    Acton, Scott

    electrostatic control of the device gate. Previous experi- ments demonstrated TFETs of other materials with the Landauer transport model, provide a good understanding of the device structure. According to the simulation/OFF current ratio. The data suggest that careful design strategy is required to balance the trade-offs among

  12. Keyword-Parameter ? Ist in Python prinzipiell Call-by-Reference

    E-Print Network [OSTI]

    Kein Rckgabetyp Deklariert; Groe Flexibilitt; Groe Gefahr; Prof Dr; G. Zachmann; Informatik Ws; Einfhrung Python; Prof Dr; G. Zachmann; Informatik Ws; Einfhrung Python; Funktion Bekommt Referenz (zeiger; Keine Kopie Des Wertes

    dadurch werden sie modularer und einfacher zu warten. ? Funktionen werden mit der def-Anweisung definiert def add ( x, y): return x+y ? Funktionsaufrufe erfolgen durch Angabe des Funktionsnamens und der Funktionsargumente

  13. Keywords: Congestion Control, Congestion Notification, FECN, enhanced FECN, BCN, and DCN

    E-Print Network [OSTI]

    Jain, Raj

    control has traditionally been handled at the transport (TCP) layer [15]. TCP NewReno, TCP SACK, and TCP Vegas for wired networks, I-TCP, MTCP and Freeze TCP for wireless networks, TCP-F, ELFN, and ATCP for ad developed that control all traffic regardless of the transport (or even network) protocol. Datacenter

  14. Keywords: Copyright Protection, Digital Watermark, Spread Spectrum, A Secure Robust Digital Image Watermark

    E-Print Network [OSTI]

    Genve, Universit de

    is also outlined. 1. INTRODUCTION Digital media have become common and haveincreasingly taken overand have for favoring digital media. Infrastructure such as computers, printers and high rate digital transmission an ecient cost-eective means of distributing digital media. The popularity of the World Wide Web has clearly

  15. Keywords: Copyright Protection, Digital Watermark, Spread Spectrum, A Secure Robust Digital Image Watermark

    E-Print Network [OSTI]

    Genve, Universit de

    used for this purpose is also outlined. 1. INTRODUCTION Digital media have become common and have number of technical reasons for favoring digital media. Infrastructure such as computers, printers widespread. Digital networks also provide an efficient costeffective means of distributing digital media

  16. Keywords: Agents, Cellular models, Discrete event simula-tion, DEVS, human agent models, Mediterranean landscape.

    E-Print Network [OSTI]

    - plained by climate change or human-caused degradation of the landscape. Finally, by placing model villages, Mediterranean landscape. ABSTRACT The Mediterranean Landscape Dynamics (MEDLAND) pro- ject seeks to better an- other while providing flexibility for either model to be changed in a systematic fashion

  17. Keywords: Photovoltaic System, fault-tolerance, recon-figurable PV panel

    E-Print Network [OSTI]

    Pedram, Massoud

    plants, and satellites. The output power of a PV cell (also called solar cell) is dependent on the solar: naehyuck@elpl.snu.ac.kr). output power of a PV cell increases as solar irradiance increases and temperature irradiance level and temperature. Figure 1 shows PV cell output current-voltage and power

  18. National Library of Energy : Main View : Search Results for Keyword: "3d

    Office of Scientific and Technical Information (OSTI)

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

  19. National Library of Energy : Main View : Search Results for Keyword: "clean

    Office of Scientific and Technical Information (OSTI)

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

  20. National Library of Energy : Main View : Search Results for Keyword: "earth

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronicCurves | SciTechLagrangeEnergy,neutronsystem models" earth

  1. National Library of Energy : Main View : Search Results for Keyword: "higgs

    Office of Scientific and Technical Information (OSTI)

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

  2. National Library of Energy : Main View : Search Results for Keyword: "high

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronicCurves | SciTechLagrangeEnergy,neutronsystem models"performance

  3. National Library of Energy : Main View : Search Results for Keyword: "light

    Office of Scientific and Technical Information (OSTI)

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

  4. National Library of Energy : Main View : Search Results for Keyword: "oil

    Office of Scientific and Technical Information (OSTI)

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

  5. National Library of Energy : Main View : Search Results for Keyword: carbon

    Office of Scientific and Technical Information (OSTI)

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

  6. National Library of Energy : Main View : Search Results for Keyword: gamma

    Office of Scientific and Technical Information (OSTI)

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

  7. Modeling Topic Specific Credibility in Twitter Byungkyu Kang, John O'Donovan,

    E-Print Network [OSTI]

    California at Santa Barbara, University of

    users who tweeted about the topic "Libya". Results show that the social model outperfoms hybrid credibility ratings on the "Libya" dataset. Author Keywords Credibility, Trust, Microblogs, Data Mining

  8. Methods for characterizing, classifying, and identifying unknowns in samples

    DOE Patents [OSTI]

    Grate, Jay W.; Wise, Barry M.

    2003-08-12T23:59:59.000Z

    Disclosed is a method for taking the data generated from an array of responses from a multichannel instrument, and determining the characteristics of a chemical in the sample without the necessity of calibrating or training the instrument with known samples containing the same chemical. The characteristics determined by the method are then used to classify and identify the chemical in the sample. The method can also be used to quantify the concentration of the chemical in the sample.

  9. Methods for characterizing, classifying, and identifying unknowns in samples

    DOE Patents [OSTI]

    Grate, Jay W [West Richland, WA; Wise, Barry M [Manson, WA

    2002-01-01T23:59:59.000Z

    Disclosed is a method for taking the data generated from an array of responses from a multichannel instrument, and determining the characteristics of a chemical in the sample without the necessity of calibrating or training the instrument with known samples containing the same chemical. The characteristics determined by the method are then used to classify and identify the chemical in the sample. The method can also be used to quantify the concentration of the chemical in the sample.

  10. Going Home Through an Unknown Street Christian Icking

    E-Print Network [OSTI]

    López-Ortiz, Alex

    . Secondly, we assume that the location of the goal is known to the robot. We prove a lower bound of 2 was supported by the DFG-Projects "Diskrete Probleme", No. Ot 64/8-2, and "Kompetitive Bahnplanung", No. Kl 655 system (robot) with a vision system can move freely inside a room with opaque walls, its aim is to find

  11. Robotic Searching for Stationary, Unknown and Transient Radio Sources

    E-Print Network [OSTI]

    Kim, Chang Young

    2012-07-16T23:59:59.000Z

    . . . . . . . . . . . . . . . . . . . . 17 D. Analysis of Common Searching Strategies . . . . . . . . . . 19 1. The Slap Method Versus The Random Walk . . . . . 19 a. The Slap Method (SM) . . . . . . . . . . . . . . . 19 b. Random Walk . . . . . . . . . . . . . . . . . . . . 23 2... the target. The dashed line is a robot trajectory. . . . . . . . . . . . . . . . . . . 13 2 (a) A sample motion plan for the slap method. (b) An illustration of how a tour (line l) intersects the circle of the target. . . . . . . . . 20 3 An illustration...

  12. Dispersion and exploration algorithms for robots in unknown environments

    E-Print Network [OSTI]

    Gini, Maria

    in the case of hazardous spills, participate in decontamination and decommissioning efforts immediately after a nuclear disaster, execute search and rescue operations, and find survivors in collapsed structures

  13. Immune Inspired Memory Algorithms Applied to Unknown Motif Detection

    E-Print Network [OSTI]

    Aickelin, Uwe

    . Wilson, P. Birkin and U. Aickelin. Oil Price Trackers Inspired by Immune Memory. AISB 2006 Bristol, intuitive and meaningful manner. Motifs help identify relationships in the data and they can aid. W. O. Wilson, P. Birkin and U. Aickelin. Price Trackers Inspired by Im- mune Memory. 5th

  14. arabidopsis unknown small: Topics by E-print Network

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

    become more costlier because of the cost of structures required to support the wind generator. And also if the threat from the market is not addressed both technically and...

  15. The 1995 ABBOT LVCSR system for multiple unknown microphones

    E-Print Network [OSTI]

    Kershaw, Dan; Robinson, Tony; Renals, Steve

    the guise of the CU-CON system. The emphasis of the paper is on the changes made to the 1994 ABBOT system, specifically to accommodate the H3 task. This includes improved acoustic modelling using limited word-internal context-dependent models, training...

  16. Nonlinear Adaptive Control for Bioreactors with Unknown Kinetics

    E-Print Network [OSTI]

    Bernard, Olivier

    in the in- dustry for the last decades, with different purposes: ei- ther to produce some chemical compounds of the bioprocess: stabilization towards a chosen operat- ing point, even unreachable in open loop. Then, we de

  17. THE KNOWN UNKNOWNS OF MOBILE A Research Agenda

    E-Print Network [OSTI]

    Sadeh, Norman M.

    , and life-cycle cost Staffing 1. Improved technical (output) efficiency Capacity utilization rate: less

  18. Online Pricing of Secondary Spectrum Access with Unknown Demand Function

    E-Print Network [OSTI]

    Starobinski, David

    consider a set-up consistent with the The authors are affiliated with the Department of Electrical contracts and are not subjected to on-line pric- ing. On the other hand, SUs are admitted and priced

  19. PLATFORMS FOR THE DESIGN OF PLATFORMS: COLLABORATING IN THE UNKNOWN

    E-Print Network [OSTI]

    Boyer, Edmond

    - such as `smart grids', home networking or new bio-materials - are currently looking for platforms to help them Gawer for fruitful discussions on Platform design and to the participants of the Platforms, Markets, the architecture of industry is tending to loosen or even disappear: `smart grids' in electricity supply, bio

  20. Property:Plants with Unknown Planned Capacity | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal PwerPerkinsInformationInformationMarine/Riverline Conditions

  1. Associations of indoor carbon dioxide concentrations, VOCS, environmental susceptibilities with mucous membrane and lower respiratory sick building syndrome symptoms in the BASE study: Analyses of the 100 building dataset

    SciTech Connect (OSTI)

    Apte, M.G.; Erdmann, C.A.

    2002-10-01T23:59:59.000Z

    Using the 100 office-building Building Assessment Survey and Evaluation (BASE) Study dataset, we performed multivariate logistic regression analyses to quantify the associations between indoor minus outdoor CO{sub 2} (dCO{sub 2}) concentrations and mucous membrane (MM) and lower respiratory system (Lresp) Sick Building Syndrome (SBS) symptoms, adjusting for age, sex, smoking status, presence of carpet in workspace, thermal exposure, relative humidity, and a marker for entrained automobile exhaust. Using principal components analysis we identified a number of possible sources of 73 measured volatile organic compounds in the office buildings, and assessed the impact of these VOCs on the probability of presenting the SBS symptoms. Additionally we included analysis adjusting for the risks for predisposition of having SBS symptoms associated with the allergic, asthmatic, and environmentally sensitive subpopulations within the office buildings. Adjusted odds ratios (ORs) for statistically significant, dose-dependant associations (p<0.05) for dry eyes, sore throat, nose/sinus congestion, and wheeze symptoms with 100-ppm increases in dCO{sub 2} ranged from 1.1 to 1.2. These results suggest that increases in the ventilation rates per person among typical office buildings will, on average significantly reduce the prevalence of several SBS symptoms, up to 80%, even when these buildings meet the existing ASHRAE ventilation standards for office buildings. VOC sources were observed to play an role in direct association with mucous membrane and lower respiratory irritation, and possibly to be indirectly involved in indoor chemical reactions with ozone that produce irritating compounds associated with SBS symptoms. O-xylene, possibly emitted from furniture coatings was associated with shortness of breath (OR at the maximum concentration = 8, p < 0.05). The environmental sensitivities of a large subset of the office building population add to the overall risk of SBS symptoms (ORs ranging from 2 to above 11) within the buildings.

  2. Nepal: Applications of Renewable Energy Technologies - Datasets...

    Open Energy Info (EERE)

    Alternate Energy Promotion Centre There is no description for this organization Social Google+ Twitter Facebook License Creative Commons Attribution 4.0 Open Data...

  3. A new bed elevation dataset for Greenland

    E-Print Network [OSTI]

    2013-01-01T23:59:59.000Z

    the high reso- lution surface topography with the bed datasurface. We estimate this uncertainty using a bootstrap approach for two classes of bed topography:

  4. Category:Datasets | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here. Category:Conceptual Model Add.png Add aTechniques page?

  5. Index of /datasets/files/39

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump to:Unconventional GasBusinessesMinnesota:

  6. Index of /datasets/files/41

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump to:Unconventional

  7. Widget:DatasetsRedirect | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri GlobalJump to:WestwoodCreatePage Jump to: navigation, search This

  8. Index of /datasets/files/39/pub

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEIHesperia,IDGWP WindSatelliteInSAR Jump to:Efficiencypub [ICO] Name

  9. Index of /datasets/files/41/pub

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEIHesperia,IDGWP WindSatelliteInSAR Jump to:Efficiencypub [ICO] Name/

  10. Index of /datasets/files/961/pub

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server DirectoryARCHIVE/ 02-Jul-2013

  11. Category:Datasets | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovation inOpen EnergyCallawayCaparaAcademic InstitutionsEdit History

  12. NREL: Transmission Grid Integration - Wind Integration Datasets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReportTransmission Planning andStudy PhaseWind

  13. Template:DatasetValue | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries PvtStratosolar Jump to:HoldingsTechint Spasource History ViewDatabusNav

  14. Upload Data - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperativeCROSS-VALIDATION OF SWERA's

  15. Privacy-aware BedTree Based Solution for Fuzzy Multi-keyword Search over Encrypted Data

    E-Print Network [OSTI]

    Chuah, Mooi-Choo "Mooi"

    about data storage and maintenance. Furthermore, they can enjoy the increased data availability provided sometimes have typos or use slightly different formats e.g. "data-mining" versus "data mining". Thus, fuzzy

  16. A hybrid keyword and patent class methodology for selecting relevant sets of patents for a technological field

    E-Print Network [OSTI]

    Benson, Christopher Lee

    This paper presents a relatively simple, objective and repeatable method for selecting sets of patents that are representative of a specific technological domain. The methodology consists of using search terms to locate ...

  17. Description: Start | Grid View | Browse by Day OR Group/Topical | Author Index | Keyword Index | Personal Scheduler

    E-Print Network [OSTI]

    Gilchrist, James F.

    Knowlton (172b) COAL Direct Chemical Looping Process: Metallurigical Coke and PRB COAL Conversions L. - S

  18. 24CSI Communications J U L Y 2 0 0 5 Keywords: Sensors, Sensor Networks, Grid computing,

    E-Print Network [OSTI]

    Buyya, Rajkumar

    , Grid computing, SensorML, SensorWeb. 1. Introduction Recent advances in electronic circuit miniaturization and micro-electromechanical systems (MEMS) have led to the creation of small sensor nodes which in the technology landscape is grid computing, which is essentially the federation of heterogeneous computational

  19. Laboratory or Service Center Name Web Presence or Contact Details Keywords Agri-genomics Laboratory http://agl.tamu.edu/

    E-Print Network [OSTI]

    Behmer, Spencer T.

    irradiation, Food safety, Dosimetry plans Tick Research Laboratory http://ticsys.tamu.edu/ Ticks, Pest Control Improvement Laboratory http://cottonimprovementlab.tamu.edu/ Cotton, Crop Imrovement, Fiber Quality Food Engineering Laboratory http://baen.tamu.edu/foodengineering/FEngr/F Engr.html Food Engineering, Food Storage

  20. NREL GIS Data: Global Offshore Wind - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    bleenergylaboratorynrel National Renewable Energy Laboratory (NREL) There is no description for this organization Social Google+ Twitter Facebook License License Not Specified...

  1. Wind Resources by Class and Country At 50m - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown ofNationwideWTEDBird,Wilsonville, Oregon: EnergyWindCooperatives Jumpto

  2. Solar Resources by Class and Country - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt LtdShawangunk, NewSingapore Jump to: navigation,Panels PlusCaliforniaSolar

  3. STIL2 Swedish Office Buildings Survey - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |Rippey Jump to:WY) JumpLandSRT Jump to:STIL2 Swedish Office

  4. Vehicle Routing in a Forestry Commissioning Operation using

    E-Print Network [OSTI]

    Qu, Rong

    Vehicle Routing in a Forestry Commissioning Operation using Ant Colony Optimisation Edward Kent where con- straints have been produced from a real world forestry commissioning dataset. In the problem. Keywords: Ant Colony Optimisation; Forestry Commissioning; Inter- route Constraints 1 Introduction

  5. Feasibility and value of fully 3D Monte Carlo reconstruction in Single Photon Emission Computed Tomography

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Emission Computed Tomography (SPECT) images is degraded by physical effects, namely photon attenuation datasets are currently under investigation. Keywords : single photon emission computed tomography; Monte Emission Computed Tomography (SPECT), the qualitative and quantitative accuracy of images is degraded

  6. PRISM Privacy-Preserving Search in MapReduce Erik-Oliver Blass1

    E-Print Network [OSTI]

    encrypted keyword search or Private Information Retrieval (PIR), fall short of meeting real-world cloud re of parallel instances of PIR on small datasets. Each PIR instance on a small dataset is efficiently solved of cloud computing unfortunately come with a high cost in terms of new security and privacy exposures

  7. To users of the Western Wind Dataset: We have run into some issues on the wind dataset. For many uses of the dataset

    E-Print Network [OSTI]

    % in the Westconnect footprint (AZ, WY, CO, NV, NM) and 20% in the rest of WECC. If you #12;use this forecast data

  8. The South East Asian Climate Assessment & Dataset system

    E-Print Network [OSTI]

    Stoffelen, Ad

    harvests by 40% BMKG: SACA&D General Introduction p.4 #12;Large regional variations source: IPCC (2007 & international policy makers agricultural sector (food security) water management insurance sector aid&D operationally Climate Services - what information is in the database? - how to extract and present information

  9. California Household Transportation Survey - Datasets - OpenEI...

    Open Energy Info (EERE)

    from more than 42,500 households via multiple data-collection methods, including computer-assisted telephone interviewing, online and mail surveys, wearable and in-vehicle...

  10. Nuclear Mass Datasets and Models at nuclearmasses.org

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    This online repository for nuclear mass information allows nuclear researchers to upload their own mass values, store then, share them with colleagues, and, in turn, visualize and analyze the work of others. The Resources link provides access to published information or tools on other websites. The Contributions page is where users will find software, documents, experimental mass data sets, and theoretical mass models that have been uploaded for sharing with the scientific community.

  11. Exploring Labeled Spatial Datasets Using Association Analysis (Demo Paper)

    E-Print Network [OSTI]

    Ding, Wei

    attributes. The system consists of several core components including discriminative data mining, similarity of ESTATE in the domains of ecology and sociology. The ecology application is to discover the associations on the contrast data mining, a technique for identification of discriminative patterns associative itemsets

  12. aster dataset zoom: Topics by E-print Network

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

    click once on the bar next to "Bounding Box" and a window will appear in which you can enter 6 Web site. Alternative Name panicled aster, Aster lanceolatus CiteSeer Summary: aster...

  13. National Hydrography Dataset Goals Fiscal Year 2014-2015-2016

    E-Print Network [OSTI]

    Torgersen, Christian

    discoveries in surface water science. The National Geospatial Program will work increasingly to integrate NHD science. NHD will provide a geospatial framework that will allow for an increasing number of geospatial information, a data structure that allows for flow analysis, a comprehensive inventory of water surface

  14. Outlier Detection in Smart Environment Structured Power Datasets

    E-Print Network [OSTI]

    Cook, Diane J.

    in the energy consumption is clearly observed in this past decade, and so is the rise in the need for energy, Data Mining. I. INTRODUCTION Household electricity consumption is a direct contributor to the household not cause great impact to the rising household energy consumption. As a result, much of global consumption

  15. Comparison of wind stress algorithms, datasets and oceanic power input

    E-Print Network [OSTI]

    Yuan, Shaoyu

    2009-01-01T23:59:59.000Z

    If the ocean is in a statistically steady state, energy balance is a strong constraint, suggesting that the energy input into the world ocean is dissipated simultaneously at the same rate. Energy conservation is one of the ...

  16. Archiving a Complex Dataset:: IST-3 - A case study

    E-Print Network [OSTI]

    Drever, Jonathan

    2014-08-26T23:59:59.000Z

    and health information stored, strict confidentiality and security was paramount, and anonymity preserved....

  17. Swedish Energy Agency - Organizations - OpenEI Datasets

    Open Energy Info (EERE)

    Office Buildings Survey The STIL2 project has performed a survey of high performance office buildings in Sweden to provide energy efficiency data for non-residential premises....

  18. View-Dependent Visualization for Analysis of Large Datasets

    E-Print Network [OSTI]

    Overby, Derek Robert

    2012-02-14T23:59:59.000Z

    such as computer security (sometimes referred to as cyber-security) [34] [47] and biological studies [2]. 14 B. Visualization Techniques In this section we briefly review related work in glyph visualization techniques and interactive visual analysis methods...

  19. Nanostructure Determination by Co-Refining Models to Multiple Datasets

    SciTech Connect (OSTI)

    Billinge, Simon

    2011-05-31T23:59:59.000Z

    The results of the work are contained in the publications resulting from the grant (which are listed below). Here I summarize the main findings from the last period of the award, 2006-2007: Published a paper in Science with Igor Levin outlining the Nanostructure Problem, our inability to solve structure at the nanoscale. Published a paper in Nature demonstrating the first ever ab-initio structure determination of a nanoparticle from atomic pair distribution function (PDF) data. Published one book and 3 overview articles on PDF methods and the nanostructure problem. Completed a project that sought to find a structural response to the presence of the so-called intermediate phase in network glasses which appears close to the rigidity percolation threshold in these systems. The main result was that we did not see convincing evidence for this, which drew into doubt the idea that GexSe1-x glasses were a model system exhibiting rigidity percolation.

  20. Federating LHCb datasets using the DIRAC File catalog

    E-Print Network [OSTI]

    Haen, Christophe; Frank, Markus; Tsaregorodtsev, Andrei

    2015-01-01T23:59:59.000Z

    In the distributed computing model of LHCb the File Catalog (FC) is a central component that keeps track of each file and replica stored on the Grid. It is federating the LHCb data files in a logical namespace used by all LHCb applications. As a replica catalog, it is used for brokering jobs to sites where their input data is meant to be present, but also by jobs for finding alternative replicas if necessary. The LCG File Catalog (LFC) used originally by LHCb and other experiments is now being retired and needs to be replaced. The DIRAC File Catalog (DFC) was developed within the framework of the DIRAC Project and presented during CHEP 2012. From the technical point of view, the code powering the DFC follows an Aspect oriented programming (AOP): each type of entity that is manipulated by the DFC (Users, Files, Replicas, etc) is treated as a separate 'concern' in the AOP terminology. Hence, the database schema can also be adapted to the needs of a Virtual Organization. LHCb opted for a highly tuned MySQL datab...

  1. Earth System Grid II, Turning Climate Datasets into Community Resources

    SciTech Connect (OSTI)

    Middleton, Don

    2006-08-01T23:59:59.000Z

    The Earth System Grid (ESG) II project, funded by the Department of Energys Scientific Discovery through Advanced Computing program, has transformed climate data into community resources. ESG II has accomplished this goal by creating a virtual collaborative environment that links climate centers and users around the world to models and data via a computing Grid, which is based on the Department of Energys supercomputing resources and the Internet. Our projects success stems from partnerships between climate researchers and computer scientists to advance basic and applied research in the terrestrial, atmospheric, and oceanic sciences. By interfacing with other climate science projects, we have learned that commonly used methods to manage and remotely distribute data among related groups lack infrastructure and under-utilize existing technologies. Knowledge and expertise gained from ESG II have helped the climate community plan strategies to manage a rapidly growing data environment more effectively. Moreover, approaches and technologies developed under the ESG project have impacted datasimulation integration in other disciplines, such as astrophysics, molecular biology and materials science.

  2. Data Quality Mining: Employing Classifiers for Assuring consistent Datasets

    E-Print Network [OSTI]

    Appelrath, Hans-Jrgen

    .g. wind power and biogas plants, and combined heat and power generation together with the conventional

  3. Computational strategies for understanding underwater optical image datasets

    E-Print Network [OSTI]

    Kaeli, Jeffrey W

    2013-01-01T23:59:59.000Z

    A fundamental problem in autonomous underwater robotics is the high latency between the capture of image data and the time at which operators are able to gain a visual understanding of the survey environment. Typical ...

  4. Predicting Weather Regime Transitions in Northern Hemisphere Datasets

    E-Print Network [OSTI]

    Kondrashov, D.; Shen, J.; Berk, R.; D., F

    2006-01-01T23:59:59.000Z

    R, DAndrea F, Ghil M (2007) Weather regime prediction usingA case study. Mon. Weather Rev. , 120, 16161627. Kimoto M,D, Ide K, Ghil M (2004) Weather regimes and preferred

  5. Predicting Weather Regime Transitions in Northern Hemisphere Datasets

    E-Print Network [OSTI]

    D. Kondrashov; J. Shen; R. Berk; F. D

    2011-01-01T23:59:59.000Z

    R, DAndrea F, Ghil M (2007) Weather regime prediction usingA case study. Mon. Weather Rev. , 120, 16161627. Kimoto M,D, Ide K, Ghil M (2004) Weather regimes and preferred

  6. Predicting Weather Regime Transitions in Northern Hemisphere Datasets

    E-Print Network [OSTI]

    Kondrashov, Dmitri; Shen, Jie; Berk, Richard; D'Andrea, F.; Ghil, M.

    2006-01-01T23:59:59.000Z

    R, D'Andrea F, Ghil M (2007) Weather regime prediction usingA case study. Mon. Weather Rev. , 120, 1616-1627. Kimoto M ,D, Ide K , Ghil M (2004) Weather regimes and preferred

  7. Non-Cooperative Facial Recognition Video Dataset Collection Plan

    SciTech Connect (OSTI)

    Kimura, Marcia L.; Erikson, Rebecca L.; Lombardo, Nicholas J.

    2013-08-31T23:59:59.000Z

    The Pacific Northwest National Laboratory (PNNL) will produce a non-cooperative (i.e. not posing for the camera) facial recognition video data set for research purposes to evaluate and enhance facial recognition systems technology. The aggregate data set consists of 1) videos capturing PNNL role players and public volunteers in three key operational settings, 2) photographs of the role players for enrolling in an evaluation database, and 3) ground truth data that documents when the role player is within various camera fields of view. PNNL will deliver the aggregate data set to DHS who may then choose to make it available to other government agencies interested in evaluating and enhancing facial recognition systems. The three operational settings that will be the focus of the video collection effort include: 1) unidirectional crowd flow 2) bi-directional crowd flow, and 3) linear and/or serpentine queues.

  8. Linked data about: /lod/resource/datasets/373/

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant Jump to:Landowners and WindLighting ControlWyoming:RhodeLienHwaLinked Open

  9. De-anonymization attack on geolocated datasets Sbastien Gambs

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    , with the advent of ubiquitous devices and smart- phones equipped with positioning capacities such as GPS, more of cellular towers, to conduct market or sociolog- ical studies or to analyze the flow of traffic inside points of interests (such as his home and place of work) [?, ?, ?, ?], to predict his past, current

  10. Dataset Descriptions and Results Various StatLog partners

    E-Print Network [OSTI]

    Taylor, Charles C.

    British engineering company, and comes from the general area of credit management, that is to say to assess the risk enables the bank to improve their pricing, marketing and debt recovery procedures debts are pursued. Although it might be thought that the proper end product in this application

  11. An Assessment of the DARPA IDS Evaluation Dataset Using Snort

    E-Print Network [OSTI]

    California at Davis, University of

    . They built a small network intending to simulate an Air Force base connected to the Internet, producing not evaluate traditional, signature based, off-the-shelf intrusion detection systems. We performed target (and its audit logs), defining a security policy for the target network, and testing more recent

  12. Index of /datasets/files/39/pub/documentation

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump to:Unconventional

  13. DOE Launches New Dataset on its Environmental Reviews | 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 DataDepartment of Energy Your Density Isn't Your Destiny: Theof"Wave theJulyD&DDepartment offorEnergy Lab ReceivesEnergy

  14. Wind Integration National Dataset (WIND) Toolkit | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartment of EnergyThe U.S. DepartmentEnergyWilliam E.Much asPhoto4,

  15. OpenEI:Projects/Datasets Improvements | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympia Green FuelsperCivicVersionNeutral point of

  16. OpenEI:Projects/Datasets Patterns | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympia Green FuelsperCivicVersionNeutral point

  17. OpenEI - Organizations - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer PlantMunhall,Missouri: EnergyExcellenceOfficeOhio: Energy Resourcesen) OpenOpenBarter

  18. NREL: Transmission Grid Integration - Solar Integration National Dataset

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReport AvailableForecastingNewsToolkit

  19. Technology Development and Field Trials of EGS Drilling Systems - Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries PvtStratosolar Jump to:HoldingsTechint Spa Jump to:Technologiefabrik- OpenEI

  20. Technology Development and Field Trials of EGS Drilling Systems - Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries PvtStratosolar Jump to:HoldingsTechint Spa Jump to:Technologiefabrik- OpenEI-

  1. Colorado thermal spring water geothermometry (public dataset) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.png El CERCollier TechnologiesColoradoColoradoCourts

  2. Energy API and dataset overview | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision| OpenElectromagneticElmwoodEnerSpectivesolarAPI and

  3. Tactile robotic mapping of unknown surfaces: An application to oil well exploration

    E-Print Network [OSTI]

    Mazzini, Francesco

    World oil demand and advanced oil recovery techniques have made it economically attractive to rehabilitate previously abandoned oil wells. This requires relatively fast mapping of the shape and location of the down-hole ...

  4. Entity Linking at the Tail: Sparse Signals, Unknown Entities, and Phrase Models

    E-Print Network [OSTI]

    Hunt, Galen

    Nave Bayes PPP Achieves 95% Precision, with over 60% recall 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0.3 0) PPP (word) PPP (phrase) Most entities on web are "tail" entities More confounds; more uniform prior

  5. Detecting the Violation of Factorial Invariance with an Unknown Reference Variable

    E-Print Network [OSTI]

    Jung, Eunju

    2014-08-04T23:59:59.000Z

    . In the second study, overall, the backward approach also showed best performance under 99% confidence level (? = 0.01) in both partial metric invariance (PMI) and partial scalar invariance (PSI) conditions. The performance of the forward approach was comparable...

  6. ANALYTICAL REDUNDANCY FOR SYSTEMS WITH UNKNOWN INPUTS -APPLICATION TO FAULTS DETECTION

    E-Print Network [OSTI]

    Boyer, Edmond

    -00144067,version1-29Mar2014 Author manuscript, published in "Control Theory and Advanced Technology 9, 3 the inconsistency between the actual plant variables and the mathematical model. They are computed from the plant observations and with the model of this plant ; they are ideally zero but become non-zero if the actual system

  7. Introduction The purpose of this work is to enable extraction of unknown

    E-Print Network [OSTI]

    Berning, Torsten

    of single step el- ectrode kinetics is not sufficient to account for the dynamic response of the fuel cell The fuel cell model is implemented using a 2D finite volume approach, taking into account variations across. Conclusions A 2D finite volume based HTPEM fuel cell model capable of simulating impedance spectra

  8. k-Zero Day Safety: A Network Security Metric for Measuring the Risk of Unknown Vulnerabilities

    E-Print Network [OSTI]

    Wang, Lingyu

    systems at nuclear power plants, implanted heart de brillators, and military satellites. One of the main. However, the scale and severity of security threats to computer networks have continued to grow at an ever

  9. k-Zero Day Safety: A Network Security Metric for Measuring the Risk of Unknown Vulnerabilities

    E-Print Network [OSTI]

    Noel, Steven

    but also industrial control systems at nuclear power plants, implanted heart defibrillators, and military are increasingly dependent. However, the scale and severity of security threats to computer networks have continued

  10. Defending against the Unknown Enemy: Applying FlipIt to System Security

    E-Print Network [OSTI]

    Bowers, Kevin D.

    2012-01-01T23:59:59.000Z

    Most cryptographic systems carry the basic assumption that entities are able to preserve the secrecy of their keys. With attacks today showing ever increasing sophistication, however, this tenet is eroding. Advanced ...

  11. FODDIS et al Identification of the unknown pollution source in the

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    and model design of carbon tetrachloride pollution in the Alsatian aquifer has been the subject of various strategies in polluted aquifers. This work aims at studying the spreading of a dangerous chemical - carbon tetrachloride (CCl4) - that contaminated a part of the Alsatian aquifer (France) because of a tanker accident

  12. ACTIVE VISION FOR NAVIGATING UNKNOWN ENVIRONMENTS: AN EVOLUTIONARY ROBOTICS APPROACH FOR SPACE RESEARCH

    E-Print Network [OSTI]

    Cangelosi, Angelo

    , below the solar panel in front. Another pair is looking backward, below the solar panel in the back future, autonomous robots are expected to be the principal actors in the exploration of Solar System of the time. Nowadays, the time delay that affects the communication between the Earth and other Solar System

  13. Bayesian method for testing TTBT compliance with unknown intercept and slope. Scientific report number 101

    SciTech Connect (OSTI)

    Baek, J.; Gray, H.L.; McCartor, G.D.; Woodward, W.A.

    1992-09-19T23:59:59.000Z

    In this report the authors examine the Bayesian method for testing for compliance to a given threshold studies by Nicholson, Mensing and Gray. It is noted that although this test and accompanying confidence intervals are valid for single event, it is incorrect to apply it or the confidence intervals to repeated events at the same site unless the number of calibration events is large. Since in any foreseeable future the number of calibration events is likely to be small, this report studies the applicability of the Bayesian test in this case. The results suggest that in many instances the Bayesian method examined here should be used on repeated events with caution if the number of calibration events is less than three.

  14. Can you explain the key objectives of your research project, `The Land Unknown'?

    E-Print Network [OSTI]

    Pillow, Jonathan

    of ice flow processes.Through other funding sources from NASA and the Department of Energy (Do represent realistic maps of the subglacial bed using a statistical model of bed morphology (Dr John Goff a statistical framework and manages the execution of thousands of ice sheet simulations over high performance

  15. Epigenetics and metabolism in 2014: Metabolic programmingknowns, unknowns and possibilities

    E-Print Network [OSTI]

    Ozanne, Susan E.

    2014-12-09T23:59:59.000Z

    Unit, Level 4, Institute of Metabolic Science, Addenbrookes Hospital, Hills Road, Cambridge, CB2 0QQ, UK seo10@cam.ac.uk Acknowledgements S.E. Ozanne is receiving grants from the British Heart Foundation (PG/13/46/30329), Diabetes UK (12...

  16. Calculation Methods for the Heat Release Rate of Materials of Unknown Composition

    E-Print Network [OSTI]

    Biteau, Hubert; Steinhaus, Thomas; Simeoni, Albert; Schemel, Christopher; Marlair, Guy; Bal, Nicolas; Torero, Jose L

    The Heat Release Rate (HRR) is a critical parameter to characterise a fire. Different methods have been developed to estimate it. The most widespread techniques are based on mass balance. If the heat of combustion of the ...

  17. Maximum-likelihood Detection of Orthogonal Space-time Block Coded OFDM in Unknown

    E-Print Network [OSTI]

    Ma, Wing-Kin "Ken"

    -DECD, SPC-MULT, SPC-STCD, SPC-BLND This work is supported by National Science Council, R.O.C., under Grants

  18. STRUCTURAL AND FUNCTIONAL STUDIES OF THREE PROTEINS OF UNKNOWN FUNCTION ENCODED BY CHLAMYDIA TRACHOMATIS

    E-Print Network [OSTI]

    Kemege, Kyle Evan

    2013-05-31T23:59:59.000Z

    Infections by chlamydial species are of significant impact to global public health, causing sexually transmitted infections, blinding trachoma and pneumonia. Despite its importance, there are many aspects of chlamydial ...

  19. Flow routing with unknown rating curves using a state-space reservoir-cascade-type formulation

    E-Print Network [OSTI]

    Szilagyi, Jozsef

    Jozsef Szilagyi*,1 , Gabor Balint, Balazs Gauzer, Peter Bartha National Hydrological Forecasting Center. Szilagyi). 1 On leave from the Conservation and Survey Division, University of Nebraska-Lincoln, 113) and Szilagyi (2003), respectively, both in a state-space formulation. The state-space description of the linear

  20. Microbes in thawing permafrost: the unknown variable in the climate change equation

    SciTech Connect (OSTI)

    Graham, David E [ORNL; Wallenstein, Matthew D [Colorado State University, Fort Collins; Vishnivetskaya, T. [University of Tennessee, Knoxville (UTK); Waldrop, Mark P. [U.S. Geological Survey, Menlo Park, CA; Phelps, Tommy Joe [ORNL; Pfiffner, Susan M. [University of Tennessee, Knoxville (UTK); Onstott, T. C. [Princeton University; Whyte, Lyle [McGill University, Montreal, Quebec; Rivkina, Elizaveta [Institute of Physicochemical and Biological Problems in Soil Science, Russian Academy of Sciences; Gilichinsky, David A [Institute of Physicochemical and Biological Problems in Soil Science, Russian Academy of Sciences; Elias, Dwayne A [ORNL; Mackelprang, Rachel [U.S. Department of Energy, Joint Genome Institute; Verberkmoes, Nathan C [ORNL; Hettich, Robert {Bob} L [ORNL; Wagner, Dirk [Alfred Wegener Institute for Polar and Marine Research, Potsdam, Germany; Wullschleger, Stan D [ORNL; Jansson, Janet [Lawrence Berkeley National Laboratory (LBNL)

    2012-01-01T23:59:59.000Z

    Considering that 25% of Earth s terrestrial surface is underlain by permafrost (ground that has been continuously frozen for at least 2 years), our understanding of the diversity of microbial life in this extreme habitat is surprisingly limited. Taking into account the total mass of perennially frozen sediment (up to several hundred meters deep), permafrost contains a huge amount of buried, ancient organic carbon (Tarnocai et al., 2009). In addition, permafrost is warming rapidly in response to global climate change (Romanovsky et al., 2010), potentially leading to widespread thaw and a larger, seasonally thawed soil active layer. This concern has prompted the question: will permafrost thawing lead to the release of massive amounts of carbon dioxide (CO2) and methane (CH4) into the atmosphere? This question can only be answered by understanding how the microbes residing in permafrost will respond to thaw, through processes such as respiration, fermentation, methanogenesis and CH4 oxidation (Schuur et al., 2009). Predicting future carbon fluxes is complicated by the diversity of permafrost environments, ranging from high mountains, southern boreal forests, frozen peatlands and Pleistocene ice complexes (yedoma) up to several hundred meters deep, which vary widely in soil composition, soil organic matter (SOM) quality, hydrology and thermal regimes (Figure 1). Permafrost degradation can occur in many forms: thaw can progress downward from seasonally-thawed active layer soils in warming climates or laterally because of changes in surface or groundwater flow paths (Grosse et al., 2011). Permafrost degradation can sometimes lead to dramatic changes in ecosystem structure and function

  1. A unified framework for resource-bounded autonomous agents interacting with unknown environments

    E-Print Network [OSTI]

    Ortega, Pedro Alejandro Jr

    2011-07-12T23:59:59.000Z

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 3.3 Axiom R5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 3.4 Axiom R6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 3.5 Axiom R 7... . . . . . . . . . . . . . . . . . . . . . . . . . . 67 6.3.2 Costs of Construction . . . . . . . . . . . . . . . . . . . . . . . . 68 6.4 Historical Remarks & References . . . . . . . . . . . . . . . . . . . . . . 69 7 Boundedness 71 7.1 An Example of Boundedness...

  2. Metal-Organic Frameworks Based on Previously Unknown Zr8/Hf Cubic

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

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

  3. On-line Pricing of Secondary Spectrum Access with Unknown Demand Function and

    E-Print Network [OSTI]

    Alanyali, Murat

    Distribution Huseyin Mutlu, Murat Alanyali, and David Starobinski Department of Electrical and Computer in the literature [35]. Recent works introduced pric- ing strategies specifically tailored for secondary access

  4. A nonlinear observer to estimate unknown parameters during the synchronization of chaotic systems

    E-Print Network [OSTI]

    L. Torres

    2014-06-20T23:59:59.000Z

    This paper proposes an Extended-Kalman-Filter-like observer for parameter estimation during synchronization of chaotic systems. The exponential stability of the observer is guaranteed by a persistent excitation condition. This approach is shown to be suitable for various classical chaotic systems and several simulations are presented accordingly.

  5. Methods for detecting and correcting inaccurate results in inductively coupled plasma-atomic emission spectrometry

    DOE Patents [OSTI]

    Chan, George C. Y. (Bloomington, IN); Hieftje, Gary M. (Bloomington, IN)

    2010-08-03T23:59:59.000Z

    A method for detecting and correcting inaccurate results in inductively coupled plasma-atomic emission spectrometry (ICP-AES). ICP-AES analysis is performed across a plurality of selected locations in the plasma on an unknown sample, collecting the light intensity at one or more selected wavelengths of one or more sought-for analytes, creating a first dataset. The first dataset is then calibrated with a calibration dataset creating a calibrated first dataset curve. If the calibrated first dataset curve has a variability along the location within the plasma for a selected wavelength, errors are present. Plasma-related errors are then corrected by diluting the unknown sample and performing the same ICP-AES analysis on the diluted unknown sample creating a calibrated second dataset curve (accounting for the dilution) for the one or more sought-for analytes. The cross-over point of the calibrated dataset curves yields the corrected value (free from plasma related errors) for each sought-for analyte.

  6. Start | Grid View | Browse by Day OR Group/Topical | Author Index | Keyword Index | Personal Scheduler Active Constraint Regions for Economically Optimal Operation of Distillation

    E-Print Network [OSTI]

    Skogestad, Sigurd

    Scheduler Active Constraint Regions for Economically Optimal Operation of Distillation Columns Tuesday and operation of distillation columns has been widely studied, as illustrated by for example Skogestad (1993 operation of distillation columns has been studied relatively little. The issue of active constraints

  7. Start | Grid View | Browse by Day OR Group/Topical | Author Index | Keyword Index | Personal Scheduler Optimal Design of Energy-Efficient Integrated Distillation Processes for

    E-Print Network [OSTI]

    Skogestad, Sigurd

    Scheduler Optimal Design of Energy-Efficient Integrated Distillation Processes for Multicomponent Ideal Optimal design of energy-efficient integrated distillation processes for multicomponent ideal and non, The Netherlands The dividing wall distillation columns (DWC) find increased use in industrial practice

  8. Start | Grid View | Browse by Day OR Group/Topical | Author Index | Keyword Index | Personal Scheduler Active Vapor Split Control for Fully Coupled Columns: Experimental Studies

    E-Print Network [OSTI]

    Skogestad, Sigurd

    and Technology, Trondheim, Norway Abstract The idea of a 4-product fully coupled distillation column has existed, is rather rudimentary. However, even with such a simple valve design, we can ensure a stable column distillation columns." AIChE Journal 44(11): 2565-2568. Dejanovic, I., L. Matijasevic, et al. (2010). "Dividing

  9. Dialogue, equality and trust are keywords in our relations with our employees and all our collaboration partners www.risoe.dk

    E-Print Network [OSTI]

    (b) Methodology From model runs to conclusions #12;Analysing the Impact of Wind Power Scope of All-Island Grid Study work-stream 2(b) Impacts of renewable generation on All-Island power system conventional plants Detailed model of system operation #12;Analysing the Impact of Wind Power Methodology

  10. Dialogue, equality and trust are keywords in our relations with our employees and all our collaboration partners www.risoe.dk

    E-Print Network [OSTI]

    on wind turbine rotors using simple vortex tube analysis Free wake lifting line (FWLL) analysis wing induces velocities perpendicular to the freestream at the airfoil. This results in a force. This results in a force in the free stream-direction: induced drag. No actual lift from the winglets

  11. A comparative study of retrieval effectiveness from a scientific document database with computer-generated indexing and manually generated keyword-based indexing

    E-Print Network [OSTI]

    Mishra, Jayanta Kumar

    1999-01-01T23:59:59.000Z

    The primary objective of this study was to examine the effectiveness of a full text indexing and retrieval system for a scientific document database. The secondary objective was to assess the completeness of the manual indexes that are already...

  12. General Assembly Meeting: October 6th, 2013 Keywords: Labor/USLAC and Sun Services, divestment from fossil fuels, grading mode changes,

    E-Print Network [OSTI]

    Royer, Dana

    : This document was signed under Doug Bennet, and part of this document states that this type of committee

  13. Dialogue, equality and trust are keywords in our relations with our employees and all our collaboration partners www.risoe.dk

    E-Print Network [OSTI]

    .Karlsson@risoe.dk Balancing Energy Systems of Fluctuating Nature Electricity from wind Nordic Energy System Hydro inflow France - Kenneth.Karlsson@risoe.dk The Nordic Power System Power mix Denmark, Norway, Sweden and Finland Waste Seasonal fluctuation - storage capacity Coal and gas plant - heat bindings Mainly base load

  14. Analyzing the Dynamics of Chemical Networking Protocols

    E-Print Network [OSTI]

    Vetter, Thomas

    from several well-established fields, such as model linearization proposed in Metabolic Control congestion control protocol and highlight formerly unknown protocol features. Keywords: dynamic analysis;1 Introduction Predicting and controlling the dynamics of communication protocols are difficult but important

  15. LDPC-Coded MIMO Systems With Unknown Block Fading Channels: Soft MIMO Detector Design, Channel Estimation, and Code Optimization

    E-Print Network [OSTI]

    Zheng, Jun; Rao, Bhaskar D

    2006-01-01T23:59:59.000Z

    multiple-output (MIMO) system, soft-input soft-output MIMOLDPC)-coded MIMO systems employing a soft iterative receiverLDPC-coded MIMO system with optimal soft MIMO detector over

  16. Structure-based inference of molecular functions of proteins of unknown function from Berkeley Structural Genomics Center

    E-Print Network [OSTI]

    Shin, Dong Hae

    2008-01-01T23:59:59.000Z

    2002). J Struct Funct Genomics. 2. 121-127 5. Chen, S. ,2003). J Struct Funct Genomics. 4. 31-34 25. Kim, J.S. ,R. (2003). J Struct Funct Genomics. 4. 129-135 3. Chandonia,

  17. Identification of Unknown Interface Locations in a Source/Shield System Using the Mesh Adaptive Direct Search Method

    SciTech Connect (OSTI)

    Armstrong, Jerawan C. [Los Alamos National Laboratory; Favorite, Jeffrey A. [Los Alamos National Laboratory

    2012-06-20T23:59:59.000Z

    The Levenberg-Marquardt (or simply Marquardt) and differential evolution (DE) optimization methods were recently applied to solve inverse transport problems. The Marquardt method is fast but convergence of the method is dependent on the initial guess. While it has been shown to work extremely well at finding an optimum independent of the initial guess, the DE method does not provide a global optimal solution in some problems. In this paper, we apply the Mesh Adaptive Direct Search (MADS) algorithm to solve the inverse problem of material interface location identification in one-dimensional spherical radiation source/shield systems, and we compare the results obtained by MADS to those obtained by Levenberg-Marquardt and DE.

  18. Usefulness of Computed Tomography Perfusion in Treatment of an Acute Stroke Patient with Unknown Time of Symptom Onset

    E-Print Network [OSTI]

    Fesmire, Francis M; England, Bryan S; Shell, Jared S; Devlin, Thomas G; Buchheit, Ron C

    2014-01-01T23:59:59.000Z

    ischemic stroke using computed tomography perfusion-derivedUsefulness of Computed Tomography Perfusion in Treatment oftime of symptom onset. Computed tomography angiogram (CTA)

  19. Computer vision-based localization and mapping of an unknown, uncooperative and spinning target for spacecraft proximity operations

    E-Print Network [OSTI]

    Tweddle, Brent Edward

    2013-01-01T23:59:59.000Z

    Prior studies have estimated that there are over 100 potential target objects near the Geostationary Orbit belt that are spinning at rates of over 20 rotations per minute. For a number of reasons, it may be desirable to ...

  20. Modeling fMRI data generated by overlapping cognitive processes with unknown onsets using Hidden Process Models

    E-Print Network [OSTI]

    Gordon, Geoffrey J.

    different numbers and types of underlying mental processes. We describe the HPM framework and its learning algorithm to train HPMs from fMRI data, and an inference algorithm that applies an HPM to infer the probable identities and start times of processes to explain additional observed data. The HPM learning algorithm

  1. WORKING PAPER N 2013 27 Evaluating the law of one price using micro panel data

    E-Print Network [OSTI]

    Boyer, Edmond

    François-Charles Wolff Patrice Guillotreau JEL Codes: L11, Q22, R32 Keywords: Fish, Commodity price, Local This paper investigates spatial variations in product prices using an exhaustive micro dataset on fish transactions. The data record all transactions between vessels and wholesalers that occur on local fish markets

  2. An Empirical Evaluation of Different Initializations on the Number of K-means

    E-Print Network [OSTI]

    Amorim, Renato Cordeiro de

    An Empirical Evaluation of Different Initializations on the Number of K-means Iterations Renato of iterations K-Means takes to converge under different initializations. We have ex- perimented with seven using the Ward criterion when applied to real datasets. Keywords: K-Means, K-Means++, iK-Means, Build

  3. Feature selection in high dimensional regression problems for genomics

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Feature selection in high dimensional regression problems for genomics Julie Hamon1,2,3 , Clarisse, France julien.jacques@lifl.fr Abstract. In the context of genomic selection in animal breeding and "closed to real" datasets. Keywords: Feature selection, combinatorial optimization, regression, genomic. 1

  4. ORIGINAL ARTICLE David A. Yuen Zachary A. Garbow

    E-Print Network [OSTI]

    Erlebacher, Gordon

    here the issues faced by earth sci- entists in analyzing and visualizing large datasets over a GRID on the ground, thus exemplifying WEB-IS as a viable middleware on a GRID network for geosciences. Keywords Data. Inexpensive memory, increasingly large storage media, faster processors and improved data

  5. Survival Analysis of Click Logs Si-Chi Chin

    E-Print Network [OSTI]

    Street, Nick

    Survival Analysis of Click Logs Si-Chi Chin Information Science The University of Iowa Iowa City and Subject Descriptors: H.4 [Information Systems Applications]: Miscellaneous General Terms: Theory Keywords: Clickthrough Logs, Kaplan-Meier Survival Anal- ysis, Click Curve Visualization 1. INTRODUCTION AND DATASET

  6. TEMPORAL PATTERN DISCOVERY FOR ANOMALY DETECTION IN A SMART HOME

    E-Print Network [OSTI]

    Cook, Diane J.

    TEMPORAL PATTERN DISCOVERY FOR ANOMALY DETECTION IN A SMART HOME Vikramaditya Jakkula , Diane J, cook}@eecs.wsu.edu Keywords: Knowledge discovery, smart homes, anomaly detection, temporal relations and relations on smart home datasets [10]. This paper describes a method of discovering temporal relations

  7. Supplemental Note 1. Access to datasets.................................................................pg. 5 Table S1: Accession IDs and internet URLs for access to datasets

    E-Print Network [OSTI]

    Lonardi, Stefano

    statistics of barley HICF map S2.2 Selection of "gene-bearing" BAC clones Supplemental Note 3. Genomic and assembly statistics S3.3 Genomic shotgun sequencing and assembly Table S5: Summary of barley WGS sequencing: Statistics of whole genome shotgun sequence assembly Figure S2: Coverage of barley full length cDNAs (fl

  8. Start | Grid View | Browse by Day OR Group/Topical | Author Index | Keyword Index | Personal Scheduler Optimal Operation of a CO2 Capturing Plant for a Wide Range of Disturbances

    E-Print Network [OSTI]

    Skogestad, Sigurd

    flowrate coming from the power plant) change over the expected operating window. Dynamic simulation. The stripping column uses a large fraction, about 15-30% of the net power generated in the power plant. Optimal Scheduler Optimal Operation of a CO2 Capturing Plant for a Wide Range of Disturbances Tuesday, October 18

  9. Clustering Large Datasets in Arbitrary Metric Spaces Venkatesh Ganti \\Lambda Raghu Ramakrishnan Johannes Gehrke y

    E-Print Network [OSTI]

    French, James C.

    French x Department of Computer Science, University of Virginia, Charlottesville Abstract Clustering requires O(mn) comparisons between characters. In contrast, computing the Euclidean distance between two n

  10. Protein interaction network topology uncovers melanogenesis regulatory network components within functional genomics datasets

    E-Print Network [OSTI]

    Ho, Hsiang; Milenkovic, Tijana; Memisevic, Vesna; Aruri, Jayavani; Przulj, Natasa; Ganesan, Anand K

    2010-01-01T23:59:59.000Z

    currently available meth- ods can identify components ofsimilar to it (see Meth- ods). Thus, the clusters containvalue = 0.009; see Meth- ods). Note that the relatively low

  11. Integrating Heterogeneous Healthcare Datasets and Visual Analytics for Disease Bio-surveillance and Dynamics

    SciTech Connect (OSTI)

    Ramanathan, Arvind [ORNL] [ORNL; Pullum, Laura L [ORNL] [ORNL; Steed, Chad A [ORNL] [ORNL; Quinn, Shannon [University of Pittsburgh School of Medicine, Pittsburgh PA] [University of Pittsburgh School of Medicine, Pittsburgh PA; Chennubhotla, Chakra [University of Pittsburgh School of Medicine, Pittsburgh PA] [University of Pittsburgh School of Medicine, Pittsburgh PA; Parker, Tara L [ORNL] [ORNL

    2013-01-01T23:59:59.000Z

    n this paper, we present an overview of the big data chal- lenges in disease bio-surveillance and then discuss the use of visual analytics for integrating data and turning it into knowl- edge. We will explore two integration scenarios: (1) combining text and multimedia sources to improve situational awareness and (2) enhancing disease spread model data with real-time bio-surveillance data. Together, the proposed integration methodologies can improve awareness about when, where and how emerging diseases can affect wide geographic regions.

  12. HDF5-FastQuery: Accelerating Complex Queries on HDF Datasets UsingFast Bitmap Indices

    SciTech Connect (OSTI)

    Gosink, Luke; Shalf, John; Stockinger, Kurt; Wu, Kesheng; Bethel,Wes

    2005-12-07T23:59:59.000Z

    Large scale scientific data is often stored in scientific data formats such as FITS, netCDF and HDF. These storage formats are of particular interest to the scientific user community since they provide multi-dimensional storage and retrieval. However, one of the drawbacks of these storage formats is that they do not support semantic indexing which is important for interactive data analysis where scientists look for features of interests such as ''Find all supernova explosions where energy >105 and temperature >106''. In this paper we present a novel approach called HDF5-FastQuery to accelerate the data access of large HDF5 files by introducing multi-dimensional semantic indexing. Our implementation leverages an efficient indexing technology called ''bitmapindexing'' that has been widely used in the database community. Bitmapindices are especially well suited for interactive exploration of large-scale read-only data. Storing the bitmap indices into the HDF5 file has the following advantages: (a) Significant performance speedup of accessing subsets of multi-dimensional data and (b) portability of the indices across multiple computer platforms. We will present an API that simplifies the execution of queries on HDF5 files for general scientific applications and data analysis. The design is flexible enough to accommodate the use of arbitrary indexing technology for semantic range queries. We will also provide a detailed performance analysis of HDF5-FastQuery for both synthetic and scientific data. The results demonstrate that our proposed approach for multi-dimensional queries is up to a factor of 2 faster than HDF5.

  13. HDF5-FastQuery: Accelerating Complex Queries on HDF Datasets usingFast Bitmap Indices

    SciTech Connect (OSTI)

    Gosink, Luke; Shalf, John; Stockinger, Kurt; Wu, Kesheng; Bethel,Wes

    2006-03-30T23:59:59.000Z

    Large scale scientific data is often stored in scientific data formats such as FITS, netCDF and HDF. These storage formats are of particular interest to the scientific user community since they provide multi-dimensional storage and retrieval. However, one of the drawbacks of these storage formats is that they do not support semantic indexing which is important for interactive data analysis where scientists look for features of interests such as ''Find all supernova explosions where energy > 10{sup 5} and temperature > 10{sup 6}''. In this paper we present a novel approach called HDF5-FastQuery to accelerate the data access of large HDF5 files by introducing multi-dimensional semantic indexing. Our implementation leverages an efficient indexing technology called bitmap indexing that has been widely used in the database community. Bitmap indices are especially well suited for interactive exploration of large-scale read only data. Storing the bitmap indices into the HDF5 file has the following advantages: (a) Significant performance speedup of accessing subsets of multi-dimensional data and (b) portability of the indices across multiple computer platforms. We will present an API that simplifies the execution of queries on HDF5 files for general scientific applications and data analysis. The design is flexible enough to accommodate the use of arbitrary indexing technology for semantic range queries. We will also provide a detailed performance analysis of HDF5-FastQuery for both synthetic and scientific data. The results demonstrate that our proposed approach for multi-dimensional queries is up to a factor of 2 faster than HDF5.

  14. Comparing*the*spatial*structure*of*1" variability*in*two*datasets*against*each*2"

    E-Print Network [OSTI]

    Dommenget, Dietmar

    *Annular*Mode*(SAM).*These*modes*are*assumed*to*be*quasi;fixed*spatial*patterns*36" (Wallace* and* Gutzler*think*of*the*climate*variability*as*a*multi;variate*stochastic*process,*38" which*has*a*continuum*of;variate* stochastic*41" process,* often* the* question* arises:* What* are* the* differences* in* the* spatial

  15. CLICKS: An Effective Algorithm for Mining Subspace Clusters in Categorical Datasets

    E-Print Network [OSTI]

    Zaki, Mohammed Javeed

    and Subject Descriptors: H.2.8 [Database Management]: Database Applications - Data Mining General Terms. This work was supported in part by NSF CAREER Award IIS-0092978, NSF grants EIA-0103708 & EMT-0432098

  16. Bedmap2: improved ice bed, surface and thickness datasets for Antarctica

    E-Print Network [OSTI]

    2013-01-01T23:59:59.000Z

    Subglacial topography inferred from ice surface ter- rainSubglacial topography inferred from ice surface ter- rainsurface eleva- tion, ice thickness and subglacial topography

  17. Quality-Controlled Upper-Air Sounding Dataset for DYNAMO/CINDY/AMIE: Development and Corrections

    SciTech Connect (OSTI)

    Ciesielski, Paul; Yu, Hungjui; Johnson, Richard; Yoneyama, Kunio; Katsumata, Masaki; Long, Charles N.; Wang, Junhong; Loehrer, Scot; Young, Kate; Williams, S.; Brown, William; Braun, John; Van Hove, Terese

    2014-04-01T23:59:59.000Z

    The upper-air sounding network for DYNAMO (Dynamics of the Madden-Julian Oscillation or MJO) has provided an unprecedented set of observations for studying the MJO over the Indian Ocean (IO) where coupling of this oscillation with deep convection first occurs. With 72 sounding sites and dropsonde data from 13 aircraft mission, the sonde network covers the tropics from Eastern African to the West Pacific. In total nearly 26,000 sondes were collected from this network during the experiments 6-month extended observing period (from October 2011 to March 2012). Slightly more than half of the sondes, collected from 33 sites, are at high vertical resolution. Rigorous post-field phase processing of the sonde data included several levels of quality checks and a variety of corrections which address a number of issues (e.g., daytime dry bias, baseline surface data errors, ship deck-heating effects, artificial dry spikes in slow ascent sondes). Because of the importance of an accurate description of the moisture field in meeting the scientific goals of the experiments, particular attention is given to humidity correction and its validation. The humidity corrections, though small relative to some previous field campaigns, produced high fidelity moisture analyses in which sonde precipitable water compared well with independent estimates. An assessment of model operational analyses moisture using corrected sonde data shows an overall good agreement with the exception at upper-levels where model moisture and clouds are more abundant than the sounding data would indicate.

  18. Interactive Hierarchical Dimension Ordering, Spacing and Filtering for Exploration of High Dimensional Datasets

    E-Print Network [OSTI]

    Yang, Jing

    axes for Paral- lel Coordinates [Inselberg and Dimsdale 1990; Wegman 1990], 200 subwindows [Inselberg and Dimsdale 1990; Wegman 1990], Star Glyphs [Siegel et al. 1972], Circle Segments [Ankerst et al

  19. Impact Assessment of Satellite-Derived Leaf Area Index Datasets Using a General Circulation Model

    E-Print Network [OSTI]

    Xue, Yongkang

    source (i.e., Advanced Very High Resolution Radiometer measurements) on a general circulation model: 10.1175/JCLI4054.1 © 2007 American Meteorological Society #12;Very High Resolution Radiometer (AVHRR radiative energy into latent and sensible heat fluxes, which results in discernable warming and decrease

  20. A Parallel Statistical Learning Approach to the Prediction of Building Energy Consumption Based on Large Datasets

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    A Parallel Statistical Learning Approach to the Prediction of Building Energy Consumption Based consumption of buildings based on historical performances is an important approach to achieve energy efficiency. A simulation method is here introduced to obtain sufficient clean historical consumption data

  1. Network methods for describing sample relationships in genomic datasets: application to Huntington's disease

    E-Print Network [OSTI]

    Oldham, Michael C; Langfelder, Peter; Horvath, Steve

    2012-01-01T23:59:59.000Z

    Authors contributions MCO and SH designed the SampleNetworkand drafted the manuscript. MCO created the SampleNetworkand the R tutorial; MCO performed the data analysis. PL

  2. Multimodal dataset: Localising face-evoked responses using MEG, EEG, sMRI and

    E-Print Network [OSTI]

    Henson, Rik

    channel CTF Omega system; the sMRI data were acquired using a phased-array headcoil on a Siemens Sonata 1 transformation, random #12;2 phase permutation, inverse transformation and outline-masking of each face. Thus-weighted structural MRI of a young male was acquired on a 1.5T Siemens Sonata via an MDEFT sequence

  3. Designing a Secure Storage Repository for Sharing Scientific Datasets using Public Clouds

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    later, or revoking this permission alto- gether. An electricity consumer with a smart power grid utility concern about the associated loss of control over private data hosted in the Cloud. In this paper, we, motivated by the smart power grid domain. Our repository model allows users to securely store and share

  4. A fast and recursive algorithm for clustering large datasets with k-medians

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    tech- niques such as k-means, trimmed k-means and PAM (partitioning around medoids). Finally, this new of the k-means algorithms. They are very fast and only require O(kn) operations, where n is the sample size by the barycenters of the elements belonging to each cluster. A major drawback of the k-means algorithms

  5. The Natural Materials Browser: Using a Tablet Interface for Exploring Volumetric Materials Science Datasets

    E-Print Network [OSTI]

    Hollerer, Tobias

    The Natural Materials Browser: Using a Tablet Interface for Exploring Volumetric Materials Science angus.forbes@sista.arizona.edu Tony Fast Department of Materials Science Georgia Institute of Technology Barbara holl@cs.ucsb.edu ABSTRACT We present a novel tablet application, the Natural Materials Browser

  6. E-Print Network 3.0 - aster dataset flyover Sample Search Results

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

    - Department of Geosciences, Universitetet i Oslo; Raup, Bruce H. - National Snow and Ice Data Center, University of Colorado at Boulder Collection: Geosciences 53 Wing...

  7. Community Health Map: A geospatial and multivariate data visualization tool for public health datasets

    E-Print Network [OSTI]

    Shneiderman, Ben

    on health care. The U.S. Department of Health and Human Services keeps track of a variety of health care that enables users to visualize health care data in multivariate space as well as geospatially. It is designed a compre- hensible and powerful interface for policy makers to visualize health care quality, public health

  8. OpenEI: Datasets in the OpenEnergyInfo Data Repository

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Open Energy Information initiative (OpenEI) is a platform to connect the world's energy data. It is a linked open data platform bringing together energy information to provide improved analyses, unique visualizations, and real-time access to data. OpenEI follows guidelines set by the White House Open Government Initiative , which is focused on transparency, collaboration, and participation. OpenEI strives to provide open access to this energy information, with the ultimate goal of spurring creativity and driving innovation in the energy sector.[Copied from the OpenEI Wiki main page]. It features a wiki, a blog, a list of information gateways, and a browsing list of deposited data sets.

  9. Custom Visual Exploration of the InfoVis Dataset Kyle Hatcher Mike Bailey

    E-Print Network [OSTI]

    Bailey, Mike

    year, and seeing if the dot-com bubble became apparent. At first, we just set the year to the most dots which can be filtered based on numerous criteria set with the GUI. Our GUI is shown here. The GUI of the dots. In Section C, the user can control what color mapping is used to the display the variable

  10. An Overview of Visualization techniques for the Analysis of Large datasets

    E-Print Network [OSTI]

    Gorban, Alexander N.

    ://www.cs.umd.edu/hcil/ #12;Visible Human - animation #12;Information Visualization Compact graphical presentation Large: animation software visualisation visualisation environments volume rendering and visualization computer graphics visual programming image processing virtual reality Scientific Visualisation

  11. Application of RAD-BCG calculator to Hanford's 300 area shoreline characterization dataset

    SciTech Connect (OSTI)

    Antonio, Ernest J.; Poston, Ted M.; Tiller, Brett L.; Patton, Gene W.

    2003-07-01T23:59:59.000Z

    Abstract. In 2001, a multi-agency study was conducted to characterize potential environmental effects from radiological and chemical contaminants on the near-shore environment of the Columbia River at the 300 Area of the U.S. Department of Energys Hanford Site. Historically, the 300 Area was the location of nuclear fuel fabrication and was the main location for research and development activities from the 1940s until the late 1980s. During past waste handling practices uranium, copper, and other heavy metals were routed to liquid waste streams and ponds near the Columbia River shoreline. The Washington State Department of Health and the Pacific Northwest National Laboratorys Surface Environmental Surveillance Project sampled various environmental components including river water, riverbank spring water, sediment, fishes, crustaceans, bivalve mollusks, aquatic insects, riparian vegetation, small mammals, and terrestrial invertebrates for analyses of radiological and chemical constituents. The radiological analysis results for water and sediment were used as initial input into the RAD-BCG Calculator. The RAD-BCG Calculator, a computer program that uses an Excel spreadsheet and Visual Basic software, showed that maximum radionuclide concentrations measured in water and sediment were lower than the initial screening criteria for concentrations to produce dose rates at existing or proposed limits. Radionuclide concentrations measured in biota samples were used to calculate site-specific bioaccumulation coefficients (Biv) to test the utility of the RAD-BCG-Calculators site-specific screening phase. To further evaluate site-specific effects, the default Relative Biological Effect (RBE) for internal alpha particle emissions was reduced by half and the programs kinetic/allometric calculation approach was initiated. The subsequent calculations showed the initial RAD-BCG Calculator results to be conservative, which is appropriate for screening purposes.

  12. Extracting Skull-Face Models from MRI datasets for use in Craniofacial

    E-Print Network [OSTI]

    Maddock, Steve

    to Esmeralda and my little Alan, To my mother Margarita who taught me to be generous... To my father Jorge who

  13. U.S. Department of Energy (DOE) - Organizations - OpenEI Datasets

    Open Energy Info (EERE)

    a purpose and need statement is put together for the Grande Prairie Wind Project. PDF CHP Units in Washington State This is data taken from the website http:www.eea-inc.com...

  14. Speciation within bonneted bats (genus Eumops): The complexity of morphological, mitochondrial, and nuclear datasets in systematics

    E-Print Network [OSTI]

    McDonough, Molly M.; Ammerman, Loren K.; Timm, Robert M.; Genoways, Hugh H.; Larsen, Peter A.; Baker, Robert J.

    2008-10-01T23:59:59.000Z

    We phylogenetically analyze cytochrome-b gene sequences and Amplified Fragment Length Polymorphisms (AFLPs) from populations of the karyotypically variable Wagners bonneted bat, Eumops glaucinus, and the Florida bonneted ...

  15. Swimming Upstream: Identifying Proteomic Signals that Drive Transcriptional Changes using the Interactome and Multiple -Omics Datasets

    E-Print Network [OSTI]

    Huang, Shao-shan Carol

    Signaling and transcription are tightly integrated processes that underlie many cellular responses to the environment. A network of signaling events, often mediated by post-translational modification on proteins, can lead ...

  16. Datasets: Phylogenetic assessment of filoviruses: how many lineages of Marburg virus?

    E-Print Network [OSTI]

    Peterson, A. Townsend; Holder, Mark T.

    2012-06-08T23:59:59.000Z

    for the Filoviridae: using coalescent simulations, we ascertain that two Marburg isolates (termed the RAVN strain) represent a quite-distinct lineage that should be considered in studies of biogeography and host associations, and may merit recognition at the level...

  17. Bayesian inference for outlier detection in vibration spectra with small learning dataset

    E-Print Network [OSTI]

    Verleysen, Michel

    of periodograms has been the subject of many works in statistical estimation and signal processing, as a means to rotating machines often focusses on specific faults, such as rotor/stator contact (Peng et al., 2005

  18. Bayesian inference for outlier detection in vibration spectra with small learning dataset

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    estimation and signal processing, as a means to denoise periodograms (see 2). In this litterature, a bayesian, such as rotor/stator contact (Peng et al., 2005), rotor unbalance, blade defects (Kharyton, 2009), bearing

  19. Development of Thermophysical Property Datasets, Benchmark Niyama Results, and A Simulation

    E-Print Network [OSTI]

    Beckermann, Christoph

    focuses on five such corrosion-resistant alloys: super-austenitic stainless steel CN3MN, duplex stainless, is commonly used to predict shrinkage porosity defects in steel castings. Unfortunately steels CD3MN and CD4MCuN, and nickel-based alloys CW6MC and N3M. Casting trials are performed

  20. CORRESPONDENCE Open Access On the amyloid datasets used for training PAFIG

    E-Print Network [OSTI]

    Kaski, Samuel

    are proteins capable of forming aberrant intramolecular contact sites, characteristic of beta zipper-2105/14/351 #12;Background Amyloids are proteins capable of forming aberrant intra- molecular contact sites that are characteristic of the beta zipper configuration, and can lead to fibrils instead of the functional structure

  1. Building a scalable global data processing pipeline for large astronomical photometric datasets

    E-Print Network [OSTI]

    Doyle, Paul

    2015-01-01T23:59:59.000Z

    Astronomical photometry is the science of measuring the flux of a celestial object. Since its introduction, the CCD has been the principle method of measuring flux to calculate the apparent magnitude of an object. Each CCD image taken must go through a process of cleaning and calibration prior to its use. As the number of research telescopes increases the overall computing resources required for image processing also increases. Existing processing techniques are primarily sequential in nature, requiring increasingly powerful servers, faster disks and faster networks to process data. Existing High Performance Computing solutions involving high capacity data centres are complex in design and expensive to maintain, while providing resources primarily to high profile science projects. This research describes three distributed pipeline architectures, a virtualised cloud based IRAF, the Astronomical Compute Node (ACN), a private cloud based pipeline, and NIMBUS, a globally distributed system. The ACN pipeline proce...

  2. MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets

    E-Print Network [OSTI]

    Wisconsin at Madison, University of

    information is required to parameterize land surface processes in regional-to-global scale Earth system models

  3. Preliminary firn-densification model with 38-site dataset M. K. Spencer,1

    E-Print Network [OSTI]

    Creyts, Timothy T.

    that densification rates are function- ally dependent on temperature, density and overburden load, and that power-densification modeling based on hot isostatic pressing with power- law creep is investigated using depth^density data free to vary during a data inversion using 38 depth^density profiles from locations collectively

  4. Protein interaction network topology uncovers melanogenesis regulatory network components within functional genomics datasets

    E-Print Network [OSTI]

    Ho, Hsiang; Milenkovic, Tijana; Memisevic, Vesna; Aruri, Jayavani; Przulj, Natasa; Ganesan, Anand K

    2010-01-01T23:59:59.000Z

    cells: lessons from the tyrosinase gene family. Histolregulators, such as tyrosinase, the rate- limiting enzyme inproduction is compared to tyrosinase siRNA to control for

  5. Bedmap2: improved ice bed, surface and thickness datasets for Antarctica

    E-Print Network [OSTI]

    2013-01-01T23:59:59.000Z

    of the Potential Sea-Level Rise from a Col- lapse of theof floating ice and sea level rise, Geophys. Res. Lett. ,contribution to sea-level rise (58 m) are simi- lar to those

  6. Bedmap2: improved ice bed, surface and thickness datasets for Antarctica

    E-Print Network [OSTI]

    2013-01-01T23:59:59.000Z

    Antarctica (MOA) image map: Digital media, National Snow andmodel of Antarctica: Digital media, National Snow and IceThickness, 20092011: Digital media, NASA Distributed Active

  7. Brady Geothermal 1D seismic velocity model - Datasets - OpenEI...

    Open Energy Info (EERE)

    1025. Number is 262. Title is "Brady 1D seismic velocity http:geothermaldata.orgdatasetbrady-1d-seismic-velocity-model-ambient-noise-prelim-prelim-brady-median-vpvsqs-model...

  8. Selling Into the Sun: Price Premium Analysis of a Multi-State Dataset of Solar Homes

    Broader source: Energy.gov [DOE]

    Homes with solar photovoltaic (PV) systems have multiplied in the United States recently, reaching more than half a million in 2014, in part due to plummeting PV costs and innovative financing options. As PV systems become an increasingly common feature of U.S. homes, the ability to assess the value of these homes appropriately will become increasingly important. At the same time, capturing the value of PV to homes will be important for facilitating a robust residential PV market. Appraisers and real estate agents have made strides toward valuing PV homes, and several limited studies have suggested the presence of PV home premiums; however, gaps remain in understanding these premiums for housing markets nationwide. To fill these gaps, researchers from Lawrence Berkeley National Laboratory (LBNL) and their collaborators from other institutions conducted the most comprehensive PV home premium analysis to date. The study more than doubles the number of PV home sales previously analyzed, examines transactions in eight states, and spans the years 20022013. The results impart confidence that PV consistently adds value across a variety of states, housing and PV markets, and home types.

  9. Integrative analysis of heterogeneous genomic datasets to discover genetic etiology of autism spectrum disorders

    E-Print Network [OSTI]

    Nazeen, Sumaiya

    2014-01-01T23:59:59.000Z

    Understanding the genetic background of complex diseases is crucial to medical research, with implications to diagnosis, treatment and drug development. As molecular approaches to this challenge are time consuming and ...

  10. iSAX: disk-aware mining and indexing of massive time series datasets

    E-Print Network [OSTI]

    Shieh, Jin; Keogh, Eamonn

    2009-01-01T23:59:59.000Z

    on both indexing and data mining problems. Finally, in Sect.0125-6 iSAX: disk-aware mining and indexing of massive timeCurrent research in indexing and mining time series data has

  11. Index of /datasets/files/41/pub/PUBID8_3849

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is

  12. Index of /datasets/files/41/pub/PUBID8_3850

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is

  13. Index of /datasets/files/41/pub/PUBID8_3851

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is

  14. Index of /datasets/files/41/pub/PUBID8_3852

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is

  15. Index of /datasets/files/41/pub/PUBID8_3853

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is

  16. Index of /datasets/files/41/pub/PUBID8_3855

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is

  17. Index of /datasets/files/41/pub/PUBID8_3856

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is

  18. Index of /datasets/files/41/pub/PUBID8_3857

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  19. Index of /datasets/files/41/pub/PUBID8_3858

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  20. Index of /datasets/files/41/pub/PUBID8_3859

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  1. Index of /datasets/files/41/pub/PUBID8_3860

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  2. Index of /datasets/files/41/pub/PUBID8_3861

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  3. Index of /datasets/files/41/pub/PUBID8_3862

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  4. Index of /datasets/files/41/pub/PUBID8_3863

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  5. Index of /datasets/files/41/pub/PUBID8_3865

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  6. Index of /datasets/files/41/pub/PUBID8_3866

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  7. Index of /datasets/files/41/pub/PUBID8_3867

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  8. Index of /datasets/files/41/pub/PUBID8_3868

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  9. Index of /datasets/files/41/pub/PUBID8_3869

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  10. Index of /datasets/files/41/pub/PUBID8_3870

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  11. Index of /datasets/files/41/pub/PUBID8_3871

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  12. Index of /datasets/files/41/pub/PUBID8_3872

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  13. Index of /datasets/files/41/pub/PUBID8_3874

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  14. Index of /datasets/files/41/pub/PUBID8_3875

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  15. Index of /datasets/files/41/pub/PUBID8_3876

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  16. Index of /datasets/files/41/pub/PUBID8_3878

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  17. Index of /datasets/files/41/pub/PUBID8_3879

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  18. Index of /datasets/files/41/pub/PUBID8_3880

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  19. Index of /datasets/files/41/pub/PUBID8_3882

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509

  20. Index of /datasets/files/41/pub/PUBID8_3883

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 Varnish cache server Directory Listing This is509