National Library of Energy BETA

Sample records for unknown keywords dataset

  1. Keyword programming in Java

    E-Print Network [OSTI]

    Little, Danny Greg

    Keyword programming is a novel technique for reducing the need to remember details of programming language syntax and APIs, by translating a small number of unordered keywords provided by the user into a valid expression. ...

  2. Spatial Keyword Query (SKQ)

    E-Print Network [OSTI]

    Papadias, Dimitris

    S contains keywords {"Starbucks", "Boardway", "Cinema"} 3 #12;Types of Query Single object oriented SKQ o", "Starbucks"} Result = {o7, o9 } 10 #12;m Closest Keywords Query (mCK Query) Query input o a set of keywords., ICDE'09 Example Input: q. = {"Cinema", "Starbucks"} Result = {o7, o9 } 11 #12;localitySearch Query

  3. Programming with keywords

    E-Print Network [OSTI]

    Little, Greg (Danny Greg)

    2007-01-01

    Modern applications provide interfaces for scripting, but many users do not know how to write script commands. However, many users are familiar with the idea of entering keywords into a web search engine. Hence, if a user ...

  4. Life forms: A keyword entry

    E-Print Network [OSTI]

    Helmreich, Stefan

    We deliver a "keyword" account of the term life form as it has been used in natural philosophy and biology over the last two hundred years, beginning with its appearance in German as Lebensform. We argue that life form ...

  5. MATERIALS ENGINEERING KEYWORDS: beryllium, stainless

    E-Print Network [OSTI]

    Abdou, Mohamed

    MATERIALS ENGINEERING KEYWORDS: beryllium, stainless steel, heat conductance EXPERIMENTAL MEASUREMENT OF THE INTERFACE HEAT CONDUCTANCE BETWEEN NONCONFORMING BERYLLIUM AND TYPE 316 STAINLESS STEEL In fusion blanket designs that employ beryllium as a neutron multiplier, the interface conductance h plays

  6. test dataset - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    test dataset Data and Resources Unnamed resourceinp More info Download Additional Info Field Value Package Relationships Relationship Dataset License License Not Specified Share on...

  7. THERMAL HYDRAULICS KEYWORDS: neutron activation,

    E-Print Network [OSTI]

    Pázsit, Imre

    THERMAL HYDRAULICS KEYWORDS: neutron activation, flow measurements, evaluation methods FLOWACT, FLOW RATE MEASUREMENTS IN PIPES WITH THE PULSED-NEUTRON ACTIVATION METHOD PER LINDÉN,* GUDMAR GROSSHÖG- neutron activation (PNA) in a specially designed test loop. A stationary neutron generator was used

  8. The SKA and the Unknown Unknowns

    E-Print Network [OSTI]

    Wilkinson, Peter

    2015-01-01

    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.

  9. 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-REGION SLAB REACTOR MODEL CARL SUNDE,* CHRISTOPHE DEMAZIÈRE, and IMRE PÁZSIT Chalmers University of Technology. 5 gives a self-contained description of the principles of fluctuation analysis for the diagnostics

  10. 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

  11. IDENTIFICATION OF RELIABLE PREDICTOR MODELS FOR UNKNOWN SYSTEMS: A

    E-Print Network [OSTI]

    Campi, Marco

    IDENTIFICATION OF RELIABLE PREDICTOR MODELS FOR UNKNOWN SYSTEMS: A DATA-CONSISTENCY APPROACH BASED mechanism ­ DGM), a selected family of models, with which we want to describe the observed data (the data, that is a statement of probability that the computed model will be consistent with future unknown data. Keywords

  12. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePowerEdistoWhiskeyFootprintGEXA Corp. (Delaware) Jump to:GIS keyword Home >

  13. Quantitative analysis of the evolution of novelty in cinema through crowdsourced keywords

    E-Print Network [OSTI]

    Sreenivasan, Sameet

    2013-01-01

    The generation of novelty is central to any creative endeavor. Novelty generation and the relationship between novelty and individual hedonic value have long been subjects of study in social psychology. However, few studies have utilized large-scale datasets to quantitatively investigate these issues. Here we consider the domain of American cinema and explore these questions using a database of films spanning a 70 year period. We use crowdsourced keywords from the Internet Movie Database as a window into the contents of films, and prescribe novelty scores for each film based on occurrence probabilities of individual keywords and keyword-pairs. These scores provide revealing insights into the dynamics of novelty in cinema. We investigate how novelty influences the revenue generated by a film, and find a statistically significant relationship that resembles the Wundt-Berlyne curve. We also study the statistics of keyword occurrence and the aggregate distribution of keywords over a 100 year period.

  14. 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)

    2012-03-06

    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.

  15. Unknown

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

    Mechanical El Stanford University Stanford, CA 94305 K. Bergey University of Oklahoma Aero Engineering Department Norman, OK 73069 Ir. Jos Beurskens Programme Manager for...

  16. Unknown

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

    R. Lynette & Assoc., Inc. 15042 NE 40th Street Suite 206 Redmond, WA 98052 P. H. Madsen Riso National Laboratory Postbox 49 DK-4000 Roskilde DENMARK D. Malcolm R. Lynette &...

  17. Unknown

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

    & Assoc., Inc. 15042 NE 40th Street Suite 206 Redmond, WA 98052 Peter Hauge Madsen Riso National Laboratory Postbox 49 DK-4000 Roskilde DENW David Malcolm R. Lynette &...

  18. Unknown

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

    Laboratories Albuquerque, NM 87185 ABSTRACT The LIFE2 computer code is a fatiguefracture analysis code that is specialized to the analysis of wind turbine components. The...

  19. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouth DakotaRobbins and700, 1. .&. ' , c 1afr a .w-wnRonlauJOURNAL

  20. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouth DakotaRobbins and700, 1. .&. ' , c 1afr a

  1. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouth DakotaRobbins and700, 1. .&. ' , c 1afr aDOI:

  2. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0 - 19Portal University of ColoradoEnergy,1750

  3. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With WIPPfinalUnexpectedof Rochester | National NuclearScientific and

  4. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With WIPPfinalUnexpectedof Rochester | National NuclearScientific

  5. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With WIPPfinalUnexpectedof Rochester | National NuclearScientific*

  6. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With WIPPfinalUnexpectedof Rochester | National

  7. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With WIPPfinalUnexpectedof Rochester | NationalProceedinsw of the

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

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

    Search: Keyword: microelectromechanical OR mems OR mem Did you mean ? Create new alert from this search New Search My Selections (0) Alerts Source Status Activity Indicator 0 top...

  9. Synthesis of regional English using a keyword lexicon. 

    E-Print Network [OSTI]

    Fitt, Steve; Isard, Stephen

    1999-01-01

    We discuss the use of an accent-independent keyword lexicon to synthesise speakers with different regional accents. The paper describes the system architecture and the transcription system used in the lexicon, and then ...

  10. MCN: A New Semantics towards Effective XML Keyword Search

    E-Print Network [OSTI]

    Ling, Tok Wang

    . The critical issue of XML keyword search is how to find meaningful query re- sults. In both tree model @auction name "John""Mike" name "gem" item name "rue" photo provider photo provider "Mike" "John" photos "John" "Mike" photo provider photo provider "Mike" "John" photos persons 2 4 5 6 7 8 13 14 18 19 29 30

  11. Top-Down XML Keyword Query Processing Junfeng Zhou1

    E-Print Network [OSTI]

    New South Wales, University of

    keyword query w.r.t. LCA/SLCA/ELCA semantics. By "top-down", we mean that we visit all common ancestor (CA to define meaningful results, for which the basic semantics is Lowest Common Ancestor (LCA). Based on LCA, the most widely adopted query semantics are Exclusive LCA (ELCA) [3,7,10,23,27] and Smallest LCA (SLCA) [3

  12. Siphoning Hidden-Web Data through Keyword-Based Interfaces

    E-Print Network [OSTI]

    Freire, Juliana

    Siphoning Hidden-Web Data through Keyword-Based Interfaces SBBD 2004 Luciano Barbosa* *OGI/OHSU L. Barbosa, J. Freire Juliana Freire*! ! Univesity of Utah #12;L. Barbosa, J. Freire 2SBBD 2004 - Siphoning Hidden/Deep/Invisible Web #12;L. Barbosa, J. Freire 3SBBD 2004 - Siphoning Hidden-Web Data through

  13. Unambiguous discrimination between two unknown qudit states

    E-Print Network [OSTI]

    Tao Zhou

    2011-11-15

    We consider the unambiguous discrimination between two unknown qudit states in $n$-dimensional ($n\\geqslant2$) Hilbert space. By equivalence of unknown pure states to known mixed states and with the Jordan-basis method, we demonstrate that the optimal success probability of the discrimination between two unknown states is independent of the dimension $n$. We also give a scheme for a physical implementation of the programmable state discriminator that unambiguously discriminate between two unknown states with optimal probability of success.

  14. Object Semantics for XML Keyword Search Thuy Ngoc Le #1

    E-Print Network [OSTI]

    Ling, Tok Wang

    .1.1.1 Bill Kennedy Professor 1.1 Paper 1.1.1.2 PID 002 Title Clinton & Kennedy Student 1.1.2 PID 001 Stu_No 12745 Title keyword search Paper 1.1.2.1 PID 001 Title Clinton & Kennedy Root 1 Name Student 1.2.1 Paper 1.2.1.1 Bill Kennedy Professor 1.2 Paper 1.2.1.2 PID 002 Title Clinton & Kennedy Student 1.2.2 PID

  15. A Dataset Search Engine for the Research Document Corpus

    E-Print Network [OSTI]

    Cormode, Graham

    -paper relationships, and find relevant datasets and their properties. I. INTRODUCTION Progress in science is made, PubMed, arXiv, Citeseer, Google Scholar, ACM Digital Library and IEEE CS Digital library. These present a search-engine like interface which allows users to search papers via keywords, or via faceted

  16. A Dataset Search Engine for the Research Document Corpus

    E-Print Network [OSTI]

    Greenberg, Albert

    -paper relationships, and find relevant datasets and their properties. I. INTRODUCTION Progress in science is made, PubMed, arXiv, Citeseer, Google Scholar, ACM Digital Library and IEEE CS Digital library. These present a search-engine like interface which allow users to search papers via keywords, or via faceted

  17. Value-based Customer Grouping from Large Retail Data-sets Alexander Strehl and Joydeep Ghosh

    E-Print Network [OSTI]

    Strehl, Alexander

    on a real retail industry data-set of several thousand customers and products, to demonstrate the power of the proposed technique. Keywords: Data mining, clustering, graph partitioning, retail marketing 1. INTRODUCTIONValue-based Customer Grouping from Large Retail Data-sets Alexander Strehl and Joydeep Ghosh

  18. The Pollution Effect: Optimizing Keyword Auctions by Favoring Relevant Advertising

    E-Print Network [OSTI]

    Linden, Greg; Chickering, Max

    2011-01-01

    Most search engines sell slots to place advertisements on the search results page through keyword auctions. Advertisers offer bids for how much they are willing to pay when someone enters a search query, sees the search results, and then clicks on one of their ads. Search engines typically order the advertisements for a query by a combination of the bids and expected clickthrough rates for each advertisement. In this paper, we extend a model of Yahoo's and Google's advertising auctions to include an effect where repeatedly showing less relevant ads has a persistent impact on all advertising on the search engine, an impact we designate as the pollution effect. In Monte-Carlo simulations using distributions fitted to Yahoo data, we show that a modest pollution effect is sufficient to dramatically change the advertising rank order that yields the optimal advertising revenue for a search engine. In addition, if a pollution effect exists, it is possible to maximize revenue while also increasing advertiser, and pub...

  19. Massive Datasets in Astronomy

    E-Print Network [OSTI]

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

    2001-06-26

    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.

  20. Discovering Point Sources in Unknown Environments

    E-Print Network [OSTI]

    Ferguson, Thomas S.

    - ted from the yet-to-be-located source. We will refer to the information from the range sensorDiscovering Point Sources in Unknown Environments Yanina Landa1 , Nicolay M. Tanushev2 , Richard of Texas at Austin, {nicktan,ytsai}@math.utexas.edu 3 Institute for Computational and Appplied Mathematics

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

    E-Print Network [OSTI]

    Jansen, James

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

  2. 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

  3. The Learnability of Unknown Quantum Measurements

    E-Print Network [OSTI]

    Hao-Chung Cheng; Min-Hsiu Hsieh; Ping-Cheng Yeh

    2015-01-03

    Quantum machine learning has received significant attention in recent years, and promising progress has been made in the development of quantum algorithms to speed up traditional machine learning tasks. In this work, however, we focus on investigating the information-theoretic upper bounds of sample complexity - how many training samples are sufficient to predict the future behaviour of an unknown target function. This kind of problem is, arguably, one of the most fundamental problems in statistical learning theory and the bounds for practical settings can be completely characterised by a simple measure of complexity. Our main result in the paper is that, for learning an unknown quantum measurement, the upper bound, given by the fat-shattering dimension, is linearly proportional to the dimension of the underlying Hilbert space. Learning an unknown quantum state becomes a dual problem to ours, and as a byproduct, we can recover Aaronson's famous result [Proc. R. Soc. A 463:3089-3144 (2007)] solely using a classical machine learning technique. In addition, other famous complexity measures like covering numbers and Rademacher complexities are derived explicitly. We are able to connect measures of sample complexity with various areas in quantum information science, e.g. quantum state/measurement tomography, quantum state discrimination and quantum random access codes, which may be of independent interest. Lastly, with the assistance of general Bloch-sphere representation, we show that learning quantum measurements/states can be mathematically formulated as a neural network. Consequently, classical ML algorithms can be applied to efficiently accomplish the two quantum learning tasks.

  4. 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

  5. The Catalog View Feature dataset

    E-Print Network [OSTI]

    The Catalog View Feature dataset Hydrography Geometric network HYDRO_NET Polygon feature class defines by FIPS 103, next six digits is a randomly assigned sequential number unique within a CatalogingSeep FCode 485 Water IntakeOutflow Resolution Resolution FCode 48500 Water IntakeOutflow FCode 487 Waterfall

  6. An Adaptive Algorithm for Selecting Profitable Keywords for Search-Based Advertising Services

    E-Print Network [OSTI]

    Rusmevichientong, Paat

    An Adaptive Algorithm for Selecting Profitable Keywords for Search-Based Advertising Services Paat@cs.cornell.edu ABSTRACT Increases in online search activities have spurred the growth of search-based advertising services on their search queries. In most search-based advertising services, a company selects a set of keywords

  7. An Adaptive Algorithm for Selecting Profitable Keywords for Search-Based Advertising Services

    E-Print Network [OSTI]

    Rusmevichientong, Paat

    An Adaptive Algorithm for Selecting Profitable Keywords for Search-Based Advertising Services Paat of search-based advertising services offered by search engines, enabling companies to promote their products a stylized model of keyword selection in search-based advertising services. Assuming known profits

  8. 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

  9. Unknown Word Extraction for Chinese Documents Keh-Jiann Chen

    E-Print Network [OSTI]

    Unknown Word Extraction for Chinese Documents Keh-Jiann Chen Institute of Information science@iis.sinica.edu.tw Abstract There is no blank to mark word boundaries in Chinese text. As a result, identifying words is difficult, because of segmentation ambiguities and occurrences of unknown words. Conventionally unknown

  10. Matchmaking, datasets and physics analysis

    E-Print Network [OSTI]

    Donno, Flavia; Eulisse, Giulio; Mazzucato, Mirco; Steenberg, Conrad; CERN. Geneva. IT Department; 10.1109/ICPPW.2005.48

    2005-01-01

    Grid enabled physics analysis requires a workload management system (WMS) that takes care of finding suitable computing resources to execute data intensive jobs. A typical example is the WMS available in the LCG2 (also referred to as EGEE-0) software system, used by several scientific experiments. Like many other current grid systems, LCG2 provides a file level granularity for accessing and analysing data. However, application scientists such as high energy physicists often require a higher abstraction level for accessing data, i.e. they prefer to use datasets rather than files in their physics analysis. We have improved the current WMS (in particular the Matchmaker) to allow physicists to express their analysis job requirements in terms of datasets. This required modifications to the WMS and its interface to potential data catalogues. As a result, we propose a simple data location interface that is based on a Web service approach and allows for interoperability of the WMS with new dataset and file catalogues...

  11. The treatment of vowels preceding 'r' in a keyword lexicon of English. 

    E-Print Network [OSTI]

    Fitt, Susan

    1999-01-01

    Work is progressing on a keyword lexicon aimed at enabling the synthesis of various regional accents of English. This paper focuses on a particular issue, that of vowels before orthographic 'r'. These vowels are discussed ...

  12. Siphoning Hidden-Web Data through Keyword-Based Interfaces Luciano Barbosa1

    E-Print Network [OSTI]

    Freire, Juliana

    Siphoning Hidden-Web Data through Keyword-Based Interfaces Luciano Barbosa1 Juliana Freire12 1 results (or, as many as possible). We propose a new approach to siphon hidden data that automatically

  13. QUANTIFYING THE VALUE OF PRONUNCIATION LEXICONS FOR KEYWORD SEARCH IN LOW RESOURCE LANGUAGES

    E-Print Network [OSTI]

    Povey, Dan

    The authors, listed here in alphabetical order, were supported by DARPA BOLT contract No ¯ HR0011-12-C-0015 in large vocabulary continuous speech recognition (LVCSR) systems that support keyword search (KWS) in low

  14. Fall 2012 focal follow FAD GPS dataset 

    E-Print Network [OSTI]

    Alvard, Michael

    2014-06-11

    Dataset includes 23 GPS files that describe fishing trips made by Dominican fishers to fish aggregating devices. Files are in RData file format....

  15. Electrical Resistivity Imaging for Unknown Bridge Foundation Depth Determination 

    E-Print Network [OSTI]

    Arjwech, Rungroj

    2012-02-14

    as suitable to investigate unknown bridge foundations. The objective of the present study is to apply advanced 2D electrical resistivity imaging (ERI) in order to identify depth of unknown bridge foundations. A survey procedure is carried out in mixed terrain...

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

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License License Not Specified Author Swedish Energy Agency Contact OpenEI User...

  17. 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

  18. Answering Why-Not Questions on Spatial Keyword Top-k Queries

    E-Print Network [OSTI]

    Xu, Jianliang

    a top- 10 spatial query with keyword "coffee." However, surprisingly, the Starbucks cafe down the street, is not in the result. Bob wonders why the Starbucks cafe is not in the result? Are there better options? Is something be adjusted so that the Starbucks cafe, and perhaps other relevant cafes, appears on the result? Several

  19. 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

  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 objects based on their distance, GeoClustering: A Web Service for Geospatial Clustering J. Wang, X. Wang, we present a geospatial clustering web service called GeoClustering. With this service, users

  1. Enabling Efficient Fuzzy Keyword Search over Encrypted Data in Cloud Computing

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    Enabling Efficient Fuzzy Keyword Search over Encrypted Data in Cloud Computing Jin Li1 , Qian Wang1, wjlou}@ece.wpi.edu Abstract. As Cloud Computing becomes prevalent, more and more sensitive information in Cloud Computing as it greatly affects system usability, rendering user searching expe- riences very

  2. Enabling E#cient Fuzzy Keyword Search over Encrypted Data in Cloud Computing

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    Enabling E#cient Fuzzy Keyword Search over Encrypted Data in Cloud Computing Jin Li 1 , Qian Wang 1, wjlou}@ece.wpi.edu Abstract. As Cloud Computing becomes prevalent, more and more sensitive information in Cloud Computing as it greatly a#ects system usability, rendering user searching expe­ riences very

  3. Event Photo Mining from Twitter Using Keyword Bursts and Image Clustering

    E-Print Network [OSTI]

    Yanai, Keiji

    Event Photo Mining from Twitter Using Keyword Bursts and Image Clustering Takamu Kaneko and Keiji people to post and read not only short messages but also photos from anywhere. Since mi- croblogs on various events over the world. Especially, photos posted to microblogs are useful to understand what hap

  4. Version: 7/12/98 Keywords: engineering curriculum, engineering careers, engineering method

    E-Print Network [OSTI]

    McCready, Mark J.

    with the philosophy and within the financial means of their company. Engineers are result driven and the detail are the usually the first two chemical engineering courses, verify that the basic conservation laws are satisfiedVersion: 7/12/98 Keywords: engineering curriculum, engineering careers, engineering method Defining

  5. 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

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

    E-Print Network [OSTI]

    Noble, William Stafford

    , 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

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

    E-Print Network [OSTI]

    Pedram, Massoud

    1 Keywords: Photovoltaic System, fault-tolerance, recon- figurable PV panel Photovoltaic (PV and the advancement of PV device technologies. PV systems have been widely deployed in electric vehicles, homes, power plants, and satellites. The output power of a PV cell (also called solar cell) is dependent on the solar

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

    DOE Patents [OSTI]

    Wagner, J.S.

    1999-07-20

    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.

  9. Autonomous flight in unstructured and unknown indoor environments

    E-Print Network [OSTI]

    Bachrach, Abraham Galton

    2009-01-01

    This thesis presents the design, implementation, and validation of a system that enables a micro air vehicle to autonomously explore and map unstructured and unknown indoor environments. Such a vehicle would be of considerable ...

  10. The 1995 ABBOT LVCSR system for multiple unknown microphones 

    E-Print Network [OSTI]

    Kershaw, Dan; Robinson, Tony; Renals, Steve

    of the phone classes, which are used as observation probabilities within an HMM. This paper describes the system which participated in the November 1995 ARPA Hub-3 multiple unknown microphones (MUM) evaluation of continuous speech recognition systems, under...

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

    DOE Patents [OSTI]

    Wagner, John S. (Albuquerque, NM)

    2000-01-01

    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.

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

    DOE Patents [OSTI]

    Wagner, John S. (Albuquerque, NM)

    1999-01-01

    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.

  13. Photometric Stereo with General, Unknown Lighting Ronen Basri

    E-Print Network [OSTI]

    Daume III, Hal

    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

  14. Online Bipartite Matching with Unknown Distributions Chinmay Karande

    E-Print Network [OSTI]

    Cortes, Corinna

    Online Bipartite Matching with Unknown Distributions Chinmay Karande Google Research Mountain View, CA chinmayk@google.com Aranyak Mehta Google Research Mountain View, CA aranyak@google.com Pushkar Research, Mountain View Permission to make digital or hard copies of all or part of this work for personal

  15. Handling Advertisements of Unknown Quality in Search Advertising

    E-Print Network [OSTI]

    Olston, Christopher

    Handling Advertisements of Unknown Quality in Search Advertising Sandeep Pandey Christopher Olston@yahoo-inc.com Abstract We consider how a search engine should select advertisements to display with search results well the displayed advertisements appeal to users. The main difficulty stems from new ad- vertisements

  16. Proportional Hazards Regression with Unknown Link Function By WEI WANG

    E-Print Network [OSTI]

    Wang, Jane-Ling

    Proportional Hazards Regression with Unknown Link Function By WEI WANG Harvard Medical School@amss.ac.cn The University of Hong Kong, Hong Kong qhwang@hku.hk Summary Proportional hazards regression model assumes of the covariates. Traditional ap- proaches, such as the Cox proportional hazards model, focus on estimating

  17. Pbm: A new dataset for blog mining

    E-Print Network [OSTI]

    Aziz, Mehwish

    2012-01-01

    Text mining is becoming vital as Web 2.0 offers collaborative content creation and sharing. Now Researchers have growing interest in text mining methods for discovering knowledge. Text mining researchers come from variety of areas like: Natural Language Processing, Computational Linguistic, Machine Learning, and Statistics. A typical text mining application involves preprocessing of text, stemming and lemmatization, tagging and annotation, deriving knowledge patterns, evaluating and interpreting the results. There are numerous approaches for performing text mining tasks, like: clustering, categorization, sentimental analysis, and summarization. There is a growing need to standardize the evaluation of these tasks. One major component of establishing standardization is to provide standard datasets for these tasks. Although there are various standard datasets available for traditional text mining tasks, but there are very few and expensive datasets for blog-mining task. Blogs, a new genre in web 2.0 is a digital...

  18. Injecting Utility into Anonymized Datasets Daniel Kifer

    E-Print Network [OSTI]

    Kifer, Dan

    Injecting Utility into Anonymized Datasets Daniel Kifer Department of Computer Science Cornell@cs.cornell.edu ABSTRACT Limiting disclosure in data publishing requires a careful balance between privacy and utility. On the other hand, the utility of such data has not been well-studied. In this paper we will discuss

  19. Journal of Electronic Commerce Research, VOL 12, NO 1, 2011 BIDDING ON THE BUYING FUNNEL FOR SPONSORED SEARCH AND KEYWORD

    E-Print Network [OSTI]

    Jansen, James

    engine marketing 1. Introduction Search engine marketing (a.k.a., keyword advertising, pay use of search engine advertisements (a.k.a., sponsored results, sponsored links) that appear

  20. Color and perceptual variation revisited: Unknown facts, alien modalities, and perfect psychosemantics

    E-Print Network [OSTI]

    Cohe, J

    2006-01-01

    Revisited: Unknown Facts, Alien Modalities, and Perfectunwarranted optimism. 7 Alien Modalities A related objection

  1. 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

    2014-08-04

    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.

  2. Assimilating GRACE, hydrology and hydro-meteorology datasets for estimating

    E-Print Network [OSTI]

    Stuttgart, Universität

    1 Assimilating GRACE, hydrology and hydro-meteorology datasets for estimating monthly water storage from grace (M/t) #12;Datasets for assimilation: Geodesy 7 Power-law of the time-variable gravity field [mm/month] #12;Datasets for assimilation: Hydro-meteorology 9 Evapotranspiration (ETa) from era

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

    E-Print Network [OSTI]

    Shu-Hui Luo; An-Min Wang

    2013-01-24

    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.

  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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar Energy LLCLtd Jump to: navigation, searchsource History View NewCleanDatasets

  5. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThinWarsaw,What Is a SmallAnchorTextDatasetsRedirect Jump to:

  6. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank,Cammack Village,8199089°,AnalyticalCuttings Analysis JumpDCDataDatasets

  7. From Revisiting the LCA-based Approach to a New Semantics-based Approach for XML Keyword Search

    E-Print Network [OSTI]

    Ling, Tok Wang

    From Revisiting the LCA-based Approach to a New Semantics-based Approach for XML Keyword Search for data-centric XML documents are based on the compu- tation of Lowest Common Ancestors (LCA), such as SLCA and MLCA. In this paper, we show that the LCA is not always a correct search model for processing

  8. 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

  9. VIVDR -Vortex-induced vibration data repository An overview of available riser datasets

    E-Print Network [OSTI]

    riser model datasets Overview of datasets Uniform Linearly sheared Available datasets #12;ExxonMobil 10m long riser model datasets #12;99 ExxonMobil 10m long riser model datasets Experimental setup: rotating;1010 ExxonMobil 10m long riser model datasets Experimental setup: rotating test rig simulates riser

  10. Rhode Island High Resolution Wind Resource - Datasets - OpenEI...

    Open Energy Info (EERE)

    Detailed license and usage information for this dataset Preview Download 50m GIS NREL Rhode Island energy high resoltuion renewable shapefile wind wind data wind...

  11. 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

    2007-01-10

    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.

  12. A Dataset availability The ``public domain'' datasets are listed below with an anonymous ftp address. If you do

    E-Print Network [OSTI]

    Taylor, Charles C.

    APPENDICES A Dataset availability The ``public domain'' datasets are listed below with an anonymous of the classical statistical algorithms are available in standard statistical packages. Here we list some public is a Fortran program available from J. Hermans, Dept. of Medical Statistics, Niels Bohrweg 1, 2333 CA Leiden

  13. Dynamics of Electricity Markets with Unknown Utility Functions: An Extremum Seeking Control Approach

    E-Print Network [OSTI]

    Ma, Kai; Hu, Guoqiang; Spanos, Costas J

    2014-01-01

    of demand response in electricity markets,” Electric Powerthe dynamics of electricity markets with unknown utilityvolatility in the electricity markets and consider more

  14. The Multi-robot Coverage Problem for Optimal Coordinated Search with an Unknown Number of Robots

    E-Print Network [OSTI]

    Minnesota, University of

    The Multi-robot Coverage Problem for Optimal Coordinated Search with an Unknown Number of Robots of Minnesota Minneapolis, MN 55455 Email: {hjmin|npapas}@cs.umn.edu Abstract-- This work presents a novel multi-robot coverage scheme for an unknown number of robots; it focuses on optimizing the number of robots and each

  15. A biped static balance control and torque pattern learning under unknown periodic external forces

    E-Print Network [OSTI]

    Ito, Satoshi

    A biped static balance control and torque pattern learning under unknown periodic external forces balancing task in which an unknown external force is exerted, using so-called `ankle strategy' model. When an external force is pe- riodic, a human adaptively maintains the balance, next learns how much force should

  16. A Bottom-up Merging Algorithm for Chinese Unknown Word Extraction

    E-Print Network [OSTI]

    A Bottom-up Merging Algorithm for Chinese Unknown Word Extraction Wei-Yun Ma Institute, Academia Sinica kchen@iis.sinica.edu.tw Abstract Statistical methods for extracting Chinese unknown words of characters with no delimiters to mark word boundaries. Therefore the initial step for Chinese processing

  17. Positioning Unknown Words in a Thesaurus by Using Information Extracted from a Corpus

    E-Print Network [OSTI]

    Positioning Unknown Words in a Thesaurus by Using Information Extracted from a Corpus Na extracted from a large corpus. A suitable area (if the thesaurus for an unknown woM ix estimated l)y inte- grating the human intuition I)urled in the thesaurus and statistical data extracted from the corpus

  18. Seer: A Chemistry Web Portal for Scientific Literature and Datasets

    E-Print Network [OSTI]

    Mitra, Prasenjit

    SQL for datasets and Fedora as a storage middleware that connects to both front- end (application servers) and back-end (physical storage). Search and management of objects in Fedora is achieved by OAI-PMH compliant

  19. Activity Stream - STIL2 Swedish Office Buildings Survey - Datasets...

    Open Energy Info (EERE)

    over 1 year ago Jay Huggins created the dataset STIL2 Swedish Office Buildings Survey over 1 year ago License License Not Specified Author Swedish Energy Agency Contact OpenEI User...

  20. Confronting the Unknown: Tejanas in the Transformation of Spanish and Mexican Texas, 1735-1836 

    E-Print Network [OSTI]

    Rincones, Cassandra

    2015-05-12

    Confronting the Unknown: Tejanas in the Transformation of Spanish and Mexican Texas, 1735-1836 sheds light on Tejana legal and social roles in this tumultuous period. Despite great strides in the field of Borderlands history ...

  1. Vision-based guidance and control of a hovering vehicle in unknown environments

    E-Print Network [OSTI]

    Ahrens, Spencer Greg

    2008-01-01

    This thesis presents a methodology, architecture, hardware implementation, and results of a system capable of controlling and guiding a hovering vehicle in unknown environments, emphasizing cluttered indoor spaces. Six-axis ...

  2. Closing the loop: Linking Datasets to Publications and Back

    E-Print Network [OSTI]

    Alberto Accomazzi; Guenther Eichhorn; Arnold Rots

    2006-11-17

    With the mainstream adoption of references to datasets in astronomical manuscripts, researchers today are able to provide direct links from their papers to the original data that were used in their study. Following a process similar to the verification of references in manuscripts, publishers have been working with the NASA Astrophysics Data System (ADS) to validate and maintain links to these datasets. Similarly, many astronomical data centers have been tracking publications based on the observations that they archive, and have been working with the ADS to maintain links between their datasets and the bibliographic records in question. In addition to providing a valuable service to ADS users, maintaining these correlations allows the data centers to evaluate the scientific impact of their missions. Until recently, these two activities have evolved in parallel on independent tracks, with ADS playing a central role in bridging the connection between publishers and data centers. However, the ADS is now implementing the capability for all parties involved to find out which data links have been published with which manuscripts, and vice versa. This will allow data centers to periodically harvest the ADS to find out if there are new papers which reference datasets available in their archives. In this paper we summarize the state of the dataset linking project and describe the new harvesting interface.

  3. CROSS-WORD SUB-WORD UNITS FOR LOW-RESOURCE KEYWORD SPOTTING William Hartmann, Lori Lamel, and Jean-Luc Gauvain

    E-Print Network [OSTI]

    CROSS-WORD SUB-WORD UNITS FOR LOW-RESOURCE KEYWORD SPOTTING William Hartmann, Lori Lamel, and Jean-Luc Gauvain Spoken Language Processing Group, LIMSI-CNRS 91403 Orsay, France {hartmann, lamel, gauvain

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

    SciTech Connect (OSTI)

    Caroline Draxl: NREL

    2014-01-01

    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.

  5. A Survey of Current Datasets for Vision and Language Research

    E-Print Network [OSTI]

    Francis Ferraro; Nasrin Mostafazadeh; Ting-Hao; Huang; Lucy Vanderwende; Jacob Devlin; Michel Galley; Margaret Mitchell

    2015-08-19

    Integrating vision and language has long been a dream in work on artificial intelligence (AI). In the past two years, we have witnessed an explosion of work that brings together vision and language from images to videos and beyond. The available corpora have played a crucial role in advancing this area of research. In this paper, we propose a set of quality metrics for evaluating and analyzing the vision & language datasets and categorize them accordingly. Our analyses show that the most recent datasets have been using more complex language and more abstract concepts, however, there are different strengths and weaknesses in each.

  6. Visualization of Very Large Oceanography Time-Varying Volume Datasets

    E-Print Network [OSTI]

    Laidlaw, David

    Visualization of Very Large Oceanography Time-Varying Volume Datasets Sanghun Park1 , Chandrajit://grmanet.sogang.ac.kr/~ihm Abstract. This paper presents two visualization techniques suitable for huge oceanography time generated in the field of oceanography. The model has a resolution of 1/6 degree (2160 by 960 points

  7. Global Sediment Thickness Dataset updated for the Australian-Antarctic

    E-Print Network [OSTI]

    Müller, Dietmar

    Global Sediment Thickness Dataset updated for the Australian-Antarctic Southern Ocean Joanne author: jo.whittaker@utas.edu.au Key Points - Global minimum sediment thickness compilation updated for Australia Antarctica - Sediment thicknesses computed from seismic reflection and refraction data - Sediment

  8. Estimating Dataset Size Requirements for Classifying DNA Microarray Data

    E-Print Network [OSTI]

    Poggio, Tomaso

    + . + Whitehead Institute / Massachusetts Institute of Technology Center for Genome Research, Cambridge, MA 02139 approaches based on machine learning algorithms applied to DNA microarray data have been shown to have to extrapolate error statistics for larger datasets. Power calculations [Adcock 1997] are a standard approach

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

    SciTech Connect (OSTI)

    Hummon, M.

    2014-04-01

    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. Sensitivity of Steel Casting Simulation Results to Alloy Property Datasets

    E-Print Network [OSTI]

    Beckermann, Christoph

    1 Sensitivity of Steel Casting Simulation Results to Alloy Property Datasets Kent D. Carlson these groupings to other casting simulation results, because such grouping neglects property variation effects. The effects of four property variations are studied here: (1) solidification shrinkage; (2) liquidus

  11. Generalized unknown morpheme guessing for hybrid POS tagging Jeongwon Cha and Geunbae Lee and Jong-Hyeok Lee

    E-Print Network [OSTI]

    Generalized unknown morpheme guessing for hybrid POS tagging of Korean* Jeongwon Cha and Geunbae anal- ysis and POS (Part-of-Speech) tagging are caused by unknown morphemes. This paper presents hybrid POS tagging system. The generalized unknown mor- pheme guessing is based on a combination

  12. 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, ...

  13. 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

  14. Bayesian Design for the Normal Linear Model with Unknown Error Variance

    E-Print Network [OSTI]

    of specific design criteria to specific prior assumptions on the variance has been demonstrated, but a general, 1985; Pilz, 1991) defined Bayesian optimal design criteria as functions OE(X) of the posteriorBayesian Design for the Normal Linear Model with Unknown Error Variance Isabella Verdinelli

  15. A Note on Bayesian Design for the Normal Linear Model with Unknown Error Variance

    E-Print Network [OSTI]

    the assumption of known variance. The insensitivity of specific design criteria to prior assumptions thought. Some Key Words: Bayesian design criteria; Design for prediction; Linear model; Expected Utility known coincides with the one that minimizes OE(X) for oe 2 unknown. A number of optimal design criteria

  16. Discovering Unknown Genes Technical Report FIU-SCIS-2015-01-20-3

    E-Print Network [OSTI]

    Robinson, Michael

    [5]. The main characteristic of Human Genome data is its large size. The Genome Project started, and others. Of the 3.2 billion bases present in the Human Genome we find genes in about 2% of the genome that represents the known 2% of the human genome and the black section represents the unknown 98% called "Dark

  17. Particle Filter-based Trajectory Estimation with Passive UHF RFID Fingerprints in Unknown Environments

    E-Print Network [OSTI]

    Zell, Andreas

    Particle Filter-based Trajectory Estimation with Passive UHF RFID Fingerprints in Unknown approach to esti- mating the trajectory of a robot by means of inexpensive passive RFID tags and odometry), where map building and estimating the trajectory of the robot are performed concur- rently. A crucial

  18. Abstract Planning with Unknown Object Quantities and Properties Siddharth Srivastava and Neil Immerman and Shlomo Zilberstein

    E-Print Network [OSTI]

    Zilberstein, Shlomo

    01003 Abstract State abstraction has been widely used for state aggregation in approaches to AI search common. For instance, consider a simplified recycling problem where a recycling robot must pick up objects from a set of unknown number of bins, perform a sensing action to determine recyclability

  19. ADAPTIVE CALIBRATION AND CONTROL OF CASCADE PROCESSES WITH UNKNOWN MEASUREMENT MODEL AND ACTUATOR DYNAMICS AND ITS

    E-Print Network [OSTI]

    Li, Perry Y.

    ADAPTIVE CALIBRATION AND CONTROL OF CASCADE PROCESSES WITH UNKNOWN MEASUREMENT MODEL AND ACTUATOR the material being processed goes through a sequence of processing units. The output of an upstream processing unit is fed into the input of the unit downstream. In many cases, the variables of interests are only

  20. Orientation Refinement of Virus Structures with Unknown Symmetry Yongchang Ji, Dan C. Marinescu

    E-Print Network [OSTI]

    Baker, Timothy S.

    Orientation Refinement of Virus Structures with Unknown Symmetry Yongchang Ji, Dan C. Marinescu, in particular the structure determina- tion of viruses and other large macromolecular complexes leads to data determina- tion of viruses, the orientation refinement. 1. Introduction and Motivation Viruses are large

  1. Finding Relevant Concepts for Unknown Terms Using a Web-based Approach

    E-Print Network [OSTI]

    . Previous research on automatic thesaurus construction most focused on extracting relevant terms for each relevant concepts for unknown terms. 1. INTRODUCTION It has been well recognized that a thesaurus retrieval systems. One of the important functions of a thesaurus is to provide the information of term

  2. Target localization in unknown environments using static wireless sensors and mobile robots

    E-Print Network [OSTI]

    Henderson, Thomas C.

    localization in unknown environments using a prior-deployed static wireless sensor network (WSN). The goal the global maxima. It is assumed that there is no global coordinate frame for the region i.e. the WSN-densities and obstacle- filled regions. Index Terms--RSSI, Target Localization, Virtual Topological Gradient, WSN

  3. Robust Machine Learning Applied to Terascale Astronomical Datasets

    E-Print Network [OSTI]

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

    2007-10-24

    We present recent results from the Laboratory for Cosmological Data Mining (http://lcdm.astro.uiuc.edu) at the National Center for Supercomputing Applications (NCSA) to provide robust classifications and photometric redshifts for objects in the terascale-class Sloan Digital Sky Survey (SDSS). Through a combination of machine learning in the form of decision trees, k-nearest neighbor, and genetic algorithms, the use of supercomputing resources at NCSA, and the cyberenvironment Data-to-Knowledge, we are able to provide improved classifications for over 100 million objects in the SDSS, improved photometric redshifts, and a full exploitation of the powerful k-nearest neighbor algorithm. This work is the first to apply the full power of these algorithms to contemporary terascale astronomical datasets, and the improvement over existing results is demonstrable. We discuss issues that we have encountered in dealing with data on the terascale, and possible solutions that can be implemented to deal with upcoming petascale datasets.

  4. Dataset used to improve liquid water absorption models in the microwave

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

    Turner, David

    2015-12-14

    Two datasets, one a compilation of laboratory data and one a compilation from three field sites, are provided here. These datasets provide measurements of the real and imaginary refractive indices and absorption as a function of cloud temperature. These datasets were used in the development of the new liquid water absorption model that was published in Turner et al. 2015.

  5. Volume Wires : A Framework for Empirical Non-linear Deformation of Volumetric Datasets

    E-Print Network [OSTI]

    Jones, Mark W.

    Volume Wires : A Framework for Empirical Non-linear Deformation of Volumetric Datasets S.J. Walton a new framework for non-linear, non-reconstructive deformation of volumetric datasets. Traditional techniques for deforming volumetric datasets non-linearly usually involve a reconstruction stage, where a new

  6. 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.

  7. 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

  8. Siphon++: A Hidden-Web Crawler for Keyword-Based Karane Vieira1, Luciano Barbosa2, Juliana Freire2, Altigran Silva1

    E-Print Network [OSTI]

    Freire, Juliana

    Siphon++: A Hidden-Web Crawler for Keyword-Based Interfaces Karane Vieira1, Luciano Barbosa2. THE HIDDEN-WEB CRAWLER Figure 1 shows the architecture of Siphon++, the proposed adap- tive crawler. Siphon of the Siphon++. which discovers features of the index, and a heuristic component, which derives the queries

  9. 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

  10. SEC: Accounting Board Is Dragging Feet -WSJ http://www.wsj.com/articles/sec-accounting-board-is-dragging-feet-1418605107?KEYWORDS=sec+accounting+board+is

    E-Print Network [OSTI]

    Grissino-Mayer, Henri D.

    #12;SEC: Accounting Board Is Dragging Feet - WSJ http://www.wsj.com/articles/sec-accounting-board-is-dragging-feet-1418605107?KEYWORDS=sec+accounting+board+is SEC: Accounting Board Is Dragging Feet Commission Officials officials publicly took issue with the Public Company Accounting Oversight Board at a conference last week

  11. 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

  12. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (UtilityMichigan)data book Homefuel efficiencyhackinginternational

  13. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for download onst,/0 enBigWater Power

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

    E-Print Network [OSTI]

    Jung, Eunju

    2014-08-04

    DETECTING THE VIOLATION OF FACTORIAL INVARIANCE WITH AN UNKNOWN REFERENCE VARIABLE A Dissertation by EUNJU JUNG Submitted to the Office of Graduate and Professional Studies of Texas A&M University in partial fulfillment... Factor Analysis PFI Partial Factorial Invariance PMI Partial Metric Invariance PSI Partial Scalar Invariance ST-IM Standardization Identification Method RV Reference Variable RV-IM Reference Variable Identification Method VRV-IM Variation...

  15. The Unknown Ecology of an Environmental Pathogen: Buruli ulcer Disease in West Africa

    E-Print Network [OSTI]

    Campbell, Lindsay P.

    2013-11-20

    GIS DAY 2013 THE UNKNOWN ECOLOGY OF AN ENVIRONMENTAL PATHOGEN: BURULI ULCER DISEASE IN WEST AFRICA LINDSAY CAMPBELL ECOLOGY AND EVOLUTIONARY BIOLOGY UNIVERSITY OF KANSAS Buruli Ulcer Disease (BU) ? Mycobacterium ulcerans (MU) ? Environmental... Africa using a correlative modeling approach Images courtesy of Lindsay Campbell and http://www.who.int/buruli/photos Occurrence Data ? Laboratory confirmed cases ? (1997 – 2006) ? Sampling bias ? Random points ? 3 data sets ? ~275 locations...

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

    E-Print Network [OSTI]

    Gen Nakamura; Haibing Wang

    2015-05-22

    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.

  17. 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

  18. 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

  19. Discovering Multidimensional Patterns in Large Datasets by Knowledge Scouts

    E-Print Network [OSTI]

    Michalski, Ryszard S.

    mining and machine learning programs with standard data and knowledge management operations data mining applications. Keywords: Data Mining, Knowledge Discovery, Knowledge Scouts, Inductive Projects Agency under Grant No. F49620-95-1-0462 administered by the Air Force Office of Scientific

  20. 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

    SI Guide Supplemental Note 1. Access to datasets.................................................................pg. 5 Table S1: Accession IDs and internet URLs for access to datasets Supplemental Note 2. Physical map statistics of barley HICF map S2.2 Selection of "gene-bearing" BAC clones Supplemental Note 3. Genomic

  1. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon:OGE EnergyOklahoma:VisualizingOpenEIDatasetsDatasets

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  3. 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 individualsÆ 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.

  4. Reconstruction of signals with unknown spectra in information field theory with parameter uncertainty

    SciTech Connect (OSTI)

    Ensslin, Torsten A.; Frommert, Mona [Max-Planck-Institut fuer Astrophysik, Karl-Schwarzschild-Str. 1, 85741 Garching (Germany)

    2011-05-15

    The optimal reconstruction of cosmic metric perturbations and other signals requires knowledge of their power spectra and other parameters. If these are not known a priori, they have to be measured simultaneously from the same data used for the signal reconstruction. We formulate the general problem of signal inference in the presence of unknown parameters within the framework of information field theory. To solve this, we develop a generic parameter-uncertainty renormalized estimation (PURE) technique. As a concrete application, we address the problem of reconstructing Gaussian signals with unknown power-spectrum with five different approaches: (i) separate maximum-a-posteriori power-spectrum measurement and subsequent reconstruction, (ii) maximum-a-posteriori reconstruction with marginalized power-spectrum, (iii) maximizing the joint posterior of signal and spectrum, (iv) guessing the spectrum from the variance in the Wiener-filter map, and (v) renormalization flow analysis of the field-theoretical problem providing the PURE filter. In all cases, the reconstruction can be described or approximated as Wiener-filter operations with assumed signal spectra derived from the data according to the same recipe, but with differing coefficients. All of these filters, except the renormalized one, exhibit a perception threshold in case of a Jeffreys prior for the unknown spectrum. Data modes with variance below this threshold do not affect the signal reconstruction at all. Filter (iv) seems to be similar to the so-called Karhune-Loeve and Feldman-Kaiser-Peacock estimators for galaxy power spectra used in cosmology, which therefore should also exhibit a marginal perception threshold if correctly implemented. We present statistical performance tests and show that the PURE filter is superior to the others, especially if the post-Wiener-filter corrections are included or in case an additional scale-independent spectral smoothness prior can be adopted.

  5. 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

    2010-01-01

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

  6. 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

  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. 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

  11. GAMIDENT: a program to aid in the identification of unknown materials by gamma-ray spectroscopy

    SciTech Connect (OSTI)

    Howerton, R.J.; Eggens, C.J.

    1980-01-04

    A computer code, called GAMIDENT, was written to help identify isotopes by their gamma-ray emissions and thus to assist in the non-destructive assay of unknown materials. The program searches a file (called GAMIN) of gamma-ray spectra, from both radioactive decays and neutron captures, for matches with observed photon energies. This report describes the search procedure used, outlines the use of the code, and gives examples. The code is designed for operation at the Lawrence Livermore Laboratory on a CDC-7600 computer. It is written in standard Fortran (ANSI) as much as possible, but it contains some LRLTRAN instructions required to make use of the Livermore Timesharing System. The code uses about 30,000 words of SCM and about 550,000 words of LCM. Typical problems run in less than 30 seconds. The source program and the data file are available on request.

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

    E-Print Network [OSTI]

    Segler, Thomas M.

    2007-06-26

    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 ...

  13. A Novel Industry Grade Dataset for Fault Prediction based on Model-Driven Developed

    E-Print Network [OSTI]

    A Novel Industry Grade Dataset for Fault Prediction based on Model-Driven Developed Automotive a novel industry dataset on static software and change metrics for Matlab/Simulink models and their corresponding auto-generated C source code. The data set comprises data of three automotive projects developed

  14. A First Look at Inter-Data Center Traffic Characteristics via Yahoo! Datasets

    E-Print Network [OSTI]

    Zhang, Zhi-Li

    A First Look at Inter-Data Center Traffic Characteristics via Yahoo! Datasets Yingying Chen1 2 Arizona State University Abstract--Effectively managing multiple data centers and their traffic the anonymized NetFlow datasets collected at the border routers of five major Yahoo! data centers. Our

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

    SciTech Connect (OSTI)

    Howison, Mark

    2010-05-06

    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.

  16. World of Warcraft Avatar History Dataset Yeng-Ting Lee12

    E-Print Network [OSTI]

    Chen, Sheng-Wei

    World of Warcraft Avatar History Dataset Yeng-Ting Lee12 , Kuan-Ta Chen2 , Yun-Maw Cheng3 History (WoWAH) dataset, which comprises the records of 91, 065 avatars. The data includes the avatars on the Internet. In [26], it is reported that over 55% of Internet users are also online Permission to make

  17. Haptic Navigation in Volumetric Datasets Dirk Bartz1 and Ozlem Gurvit2

    E-Print Network [OSTI]

    Bartz, Dirk

    Haptic Navigation in Volumetric Datasets Dirk Bartz1 and ¨Ozlem G¨urvit2 1 WSI/GRIS, University for the interactive visual exploration of volumetric datasets. However, the usual display is oriented on surface information, such as the surface of volumetric objects. The actual volumetric information is difficult

  18. Impact Assessment of Satellite-Derived Leaf Area Index Datasets Using a General Circulation Model

    E-Print Network [OSTI]

    Xue, Yongkang

    Impact Assessment of Satellite-Derived Leaf Area Index Datasets Using a General Circulation Model the impact of two different remote sensing­derived leaf area index (RSLAI) datasets retrieved from the same using the RSLAI and other satellite-derived land surface products showed sub- stantial improvements

  19. 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; Brückner, F; Buchman, S; Bulik, T; Bulten, H J; Buonanno, A; Burman, R; Buskulic, D; Buy, C; Cadonati, L; Cagnoli, G; Bustillo, J Calderón; 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; Cavaglià, 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; Deléglise, S; Del Pozzo, W; Denker, T; Dent, T; Dereli, H; Dergachev, V; De Rosa, R; DeRosa, R T; DeSalvo, R; Dhurandhar, S; Díaz, 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; González, G; Gordon, N; Gorodetsky, M L; Gossan, S; Goßler, S; Gouaty, R; Gräf, 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; Jiménez-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; Kéfélian, 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

    2014-01-01

    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...

  20. Fact #901: November 30, 2015 States Assessing Fees on Electric Vehicles to Make Up For Lost Fuel Tax Revenue- Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for States Assessing Fees on Electric Vehicles to Make Up For Lost Fuel Tax Revenue

  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 #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

  3. 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

  4. 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

  5. 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

  6. 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

  7. Page 1 TXCRDC Notes on Datasets Available in CRDCs Texas A&M University Census Research Data Center

    E-Print Network [OSTI]

    Bermúdez, José Luis

    Center Datasets Available in Census Research Data Centers Overview This document brings together short descriptions of many of the data sets that are widely used in Census research data centers around the country Datasets General Data Sets (including most Census Data Sets) Datasets from the National Center for Health

  8. 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

  9. 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.

  10. INTERANNUAL VARIABILITY OF THE MARS THERMOSPHERE: NEW SIMULATIONS AND COMPARISONS WITH RECENT MARS DATASETS.

    E-Print Network [OSTI]

    Bougher, Stephen W.

    . R. Mur- phy, Department of Astronomy, New Mexico State University, USA (murphy@nmsu.edu), R. Lillis sense the atmosphere. These datasets provide a limited (spatial and temporal) clima- tological database

  11. Evaluation and integration of ancillary datasets for coastal wetland landcover classification using Landsat TM Imagery 

    E-Print Network [OSTI]

    Hinson, James Mithland

    1993-01-01

    Ancillary data were compared with ground-truth data for use in separating saline and fresh wetland-landcover classes exhibiting similar spectral signatures. Two ancillary datasets, United States Fish and Wildlife Service (USFWS) National Wetland...

  12. Multivariate Visual Explanation for High Dimensional Datasets Scott Barlowe, Tianyi Zhang, Yujie Liu, Jing Yang

    E-Print Network [OSTI]

    Ras, Zbigniew W.

    Multivariate Visual Explanation for High Dimensional Datasets Scott Barlowe, Tianyi Zhang, Yujie at Charlotte djacobs1@uncc.edu ABSTRACT Understanding multivariate relationships is an important task in multivariate data analysis. Unfortunately, existing multivariate vi- sualization systems lose effectiveness

  13. Precipitation climatology over India: validation with observations and reanalysis datasets and spatial trends

    E-Print Network [OSTI]

    2015-01-01

    long-term daily gridded precipitation dataset for asia based10.1007/s00382-015-2597-y Precipitation climatology over DP (2012) Urban precipitation extremes: how reliable are

  14. Face Synthesis and Recognition from a Single Image under Arbitrary Unknown Lighting using a Spherical Harmonic Basis Morphable Model

    E-Print Network [OSTI]

    Samaras, Dimitris

    of lighting conditions can be approxi- mated accurately by a 9 dimensional linear subspace. This led to faceFace Synthesis and Recognition from a Single Image under Arbitrary Unknown Lighting using that the set of images of a convex Lambertian object obtained under a wide variety of lighting conditions can

  15. Anorexia nervosa (AN), a disorder of unknown aetiol-ogy, is characterized by restricted eating and a relent-

    E-Print Network [OSTI]

    California at San Diego, University of

    Anorexia nervosa (AN), a disorder of unknown aetiol- ogy, is characterized by restricted eating nervosa Walter H. Kaye*, Julie L. Fudge and Martin Paulus§ Abstract | Individuals with anorexia nervosa.1038/nrn2682 Published online 15 July New insights into symptoms and neurocircuit function of anorexia

  16. The use of a new logistic regression model for predicting the outcome of pregnancies of unknown location

    E-Print Network [OSTI]

    .8, a positive predictive value of 27.5% and a negative predictive value of 99.4%. CONCLUSIONS: The logisticThe use of a new logistic regression model for predicting the outcome of pregnancies of unknown, London UK. E-mail: gcondous@hotmail.com BACKGROUND: The aim of this study was to generate and evaluate

  17. Combining Weather Data for a Dataset Sufficient for Generating High-Resolution Weather Prediction Models

    SciTech Connect (OSTI)

    Fox, Jared B.; Ghan, Steven J.

    2004-03-01

    Assessments of the effects of climate change typically require information at scales of 10 km or less. In regions with complex terrain, much of the spatial variability in climate (temperature, precipitation, and snow water) occurs on scales below 10 km. Since the typical global climate model simulations grid size is more than 200 km, it is necessary to develop models with much higher resolution. Unfortunately, no datasets currently produced are both highly accurate and provide data at a sufficiently high resolution. As a result, current global climate models are forced to ignore the important climate variations that occur below the 200 km scale. This predicament prompted the creation of a global hybrid dataset with information for precipitation, temperature, and relative humidity. The resulting dataset illustrated the importance of having high-resolution datasets and gives clear proof that regions with complex terrain require a fine resolution grid to give an accurate represent at ion of their climatology. For example, the Andes Mountains in Chile cause a temperature shift of more than 25C within the same area as a single 2.5 grid cell from the NCEP dataset. Fortunately the CRU, U.D., GPCP, and NCEP datasets, when hybridized, are able to provide both precision and satisfactory resolution with global coverage. This composite will enable the development of both high-resolution models and quality empirical downscaling methods--both of which are necessary for scientists to more accurately predict the effects of global climate change. Without accurate long-term forecasts, climatologists and policy makers will not have the tools they need to effectively reduce the negative effects human activity have on the earth.

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. The role of metadata in managing large environmental science datasets. Proceedings

    SciTech Connect (OSTI)

    Melton, R.B.; DeVaney, D.M.; French, J. C.

    1995-06-01

    The purpose of this workshop was to bring together computer science researchers and environmental sciences data management practitioners to consider the role of metadata in managing large environmental sciences datasets. The objectives included: establishing a common definition of metadata; identifying categories of metadata; defining problems in managing metadata; and defining problems related to linking metadata with primary data.

  5. 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

  6. Preliminary firn-densification model with 38-site dataset M. K. Spencer,1

    E-Print Network [OSTI]

    Creyts, Timothy T.

    in a simple physical model for different stages of time-dependent firn densification. Our model works as well-dependent uncertainties, and because different models may perform better in different tempera- ture, accumulation, densityPreliminary firn-densification model with 38-site dataset M. K. Spencer,1 R. B. Alley,1 T. T

  7. Eective detection of remote homologues by searching in sequence dataset of a protein domain fold

    E-Print Network [OSTI]

    Srinivasan, N.

    E¡ective detection of remote homologues by searching in sequence dataset of a protein domain fold S in protein sequence databases to detect evolutionary relationships. We describe here a sensitive protocol to a fold. We have assessed this protocol by exploring the relationships we detect among sequences known

  8. Unbiased Metric Learning: On the Utilization of Multiple Datasets and Web Images for Softening Bias

    E-Print Network [OSTI]

    Torresani, Lorenzo

    collectors. Biases like these can have downstream effects in the use of vision datasets in the construction.g., Caltech 101 [7], PASCAL VOC [4], LabelMe [20] and SUN09 [3]) that en- able researchers to evaluate, such as illumination condition, different imaging sys- tem and preference of database collectors. Bias inevitably leads

  9. 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

  10. Experience with 3D Optical Flow on Gated MRI Cardiac Datasets

    E-Print Network [OSTI]

    Barron, John

    ventricular chamber which pumps oxygenated blood to the body, as these are good indicators of heart function of points on a surface while generic 3D optical ow is 3D volumetric motion. We present two sim- ple contain 20 volumes of 3D volumetric data for one synchronized heart beat, with each 3D vol- ume dataset

  11. Designing a Secure Storage Repository for Sharing Scientific Datasets using Public Clouds

    E-Print Network [OSTI]

    Hwang, Kai

    Designing a Secure Storage Repository for Sharing Scientific Datasets using Public Clouds Alok present an architecture for a secure data repository service designed on top of a public Cloud and Protection General Terms Public Clouds, Secure Cloud Storage, Access Control, Data Repository, eEngineering 1

  12. Exploring a Geographical Dataset with GEOLIS Olivier Bedel, Sebastien Ferre and Olivier Ridoux

    E-Print Network [OSTI]

    Ferré, Sébastien

    process of geographical data. GEOLIS re- lies on Logical Information Systems (LIS), which are based, Geographical Information Systems (GIS) provide tools to explore and analyse it. Geographical informationExploring a Geographical Dataset with GEOLIS Olivier Bedel, S´ebastien Ferr´e and Olivier Ridoux

  13. Segmentation of Biological Volume Datasets Using a Level-Set Framework

    E-Print Network [OSTI]

    Breen, David E.

    from standard 3D imaging devices, and are all noisy samplings of complex biological struc- tures models of complex structures from noisy datasets generated from 3D imaging ??? Support from NSF #ACI-00-20219 and #ACI-99-82273, the NIH/NSF Human Brain Project, and the Caltech SURF Program. Thanks also go to Dr

  14. Nitrogen concentration and isotope dataset for environmental samples from 2012 and 2013, Barrow, Alaska

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

    Jeff Heikoop; Heather Throckmorton

    2015-05-15

    Dataset includes nitrate concentrations for polygonal active layer samples, snowmelt; ammonium concentrations for active layer samples; nitrate isotopes for active layer samples, snowmelt, permafrost; ammonium isotopes for active layer samples; and nitrogen isotopes for soils and dissolved organic nitrogen extracted from soil pore waters.

  15. Nitrogen concentration and isotope dataset for environmental samples from 2012 and 2013, Barrow, Alaska

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

    Jeff Heikoop; Heather Throckmorton

    Dataset includes nitrate concentrations for polygonal active layer samples, snowmelt; ammonium concentrations for active layer samples; nitrate isotopes for active layer samples, snowmelt, permafrost; ammonium isotopes for active layer samples; and nitrogen isotopes for soils and dissolved organic nitrogen extracted from soil pore waters.

  16. Sharing and integration of cognitive neuroscience data: Metric and pattern matching across heterogeneous ERP datasets

    E-Print Network [OSTI]

    Dou, Dejing

    heterogeneous ERP datasets Haishan Liu a,n , Gwen Frishkoff b , Robert Frank c , Dejing Dou a a Department in the sharing and integration of data from electrophysiological (ERP) studies of human brain function. The first challenge, ERP metric matching, is to identify correspondences among distinct summary features (``metrics

  17. TRICTRAC Video Dataset: Public HDTV Synthetic Soccer Video Sequences With Ground Truth.

    E-Print Network [OSTI]

    Piater, Justus H.

    monitoring, marketing and sport analysis. In order to enhance these technologies, an objective performance with the ground truth. One of the contributions of the TRICTRAC project is the supply to the video processing and Surveillance (PETS) workshop deals with these issues since 2000. It proposes datasets for surveillance, sports

  18. damidseq pipeline: an automated pipeline for processing DamID sequencing datasets

    E-Print Network [OSTI]

    Marshall, Owen J.; Brand, Andrea H.

    2015-06-25

    of DamID-seq datasets with normalisation based on read-counts alone can lead to high background and the loss of bound signal. DamID-seq thus presents novel challenges in terms of normalisation and background minimisation. We describe here damidseq_pipeline...

  19. The Natural Materials Browser: Using a Tablet Interface for Exploring Volumetric Materials Science Datasets

    E-Print Network [OSTI]

    California at Santa Barbara, University of

    The Natural Materials Browser: Using a Tablet Interface for Exploring Volumetric Materials Science, that allows a user to interact with volumetric datasets cre- ated from a series of natural materials samples. The data samples ­ high resolution meso-scale volumetric images of nutshells gath- ered via micro

  20. 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 petabyte-scale cloud- based computing platforms containing these data, along with tools and resources to analyze it. Methods Bionimbus is an open source cloud- computing platform that is based primarily upon

  1. Capabilities of satellite precipitation datasets to estimate heavy precipitation rates at different temporal accumulations

    E-Print Network [OSTI]

    AghaKouchak, Amir

    Capabilities of satellite precipitation datasets to estimate heavy precipitation rates at different as alternative sources of precipitation information has been argued in numerous studies. Future developments in satellite precipitation algorithms as well as utilization of satellite data in operational applications rely

  2. Precipitation Characteristics of the South American Monsoon System Derived from Multiple Datasets

    E-Print Network [OSTI]

    Bookhagen, Bodo

    Precipitation Characteristics of the South American Monsoon System Derived from Multiple Datasets and is characterized by pronounced seasonality in precipitation during the austral summer. This study compares several statistical properties of daily gridded precipitation from different data (1998­2008): 1) Physical Sci- ences

  3. 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 efficace pour les zones urbanisées. 1 INTRODUCTION The press-in method of pile installation is a modern

  4. 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

  5. Efficient Computation of Multiple XML Keyword Queries

    E-Print Network [OSTI]

    Liu, Chengfei

    to the structure and rich semantics of XML data. As such, a family of LCA (Low- est Common Ancestor) based approaches have been proposed, such as, SLCA (Smallest LCA)[12,9] and ELCA (Exclusive LCA)[5,13,15]. We

  6. HEGIS CLASSIFICATIONS (THIS DOCUMENT IS KEYWORD SEARCHABLE

    E-Print Network [OSTI]

    Raina, Ramesh

    , community, and regional planning 0299 Other, specify 0300 AREA STUDIES Subject field designations which Transportation and public utilities 0511 Real estate 0512 Insurance 0513 International business 0514 Secretarial

  7. INDEXING WORKSHOP: HOW TO ASSIGN KEYWORDS

    E-Print Network [OSTI]

    Sternberg, Virginia

    2012-01-01

    kind of dictionary (or thesaurus). This use of normal termsarbitrary term taken from a thesaurus. We are developing aone and record it in the thesaurus. List the rejected terms

  8. Efficient Interactive Fuzzy Keyword Search Shengyue Ji

    E-Print Network [OSTI]

    Li, Guoliang

    return answers after a user submits a complete query. Users often feel "left in the dark" when they have is held by the International World Wide Web Conference Com- mittee (IW3C2). Distribution of these papers, often the user feels "left in the dark" when issuing queries, and has to use a try- and-see approach

  9. 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

  10. FISSION REACTORS KEYWORDS: high-temperature

    E-Print Network [OSTI]

    Yildiz, Bilge

    REACTORS WITH SUPERCRITICAL CO2 CYCLES BILGE YILDIZ,* KATHERINE J. HOHNHOLT, and MUJID S. KAZIMI-temperature steam electrolysis (HTSE) supported by a supercritical CO2 (SCO2) recompression Brayton cycle by a supercritical CO2 ~SCO2! power conversion system that is directly coupled to an advanced gas-cooled reactor

  11. Diverse Keyword Extraction from Conversations Maryam Habibi

    E-Print Network [OSTI]

    - tween words can be obtained from a manually- constructed thesaurus such as WordNet, or from Wikipedia

  12. Unknown 2 (Cultivated) 2 

    E-Print Network [OSTI]

    Hugh D. Wilson

    2011-08-10

    ), Nueces Delta Mitigation Project, and Mustang Island, Texas. Analysis focused on black-bellied plover (Pluvialis squatarola), long-billed curlew (Numenitus americanus, peeps (Calidris sandpipers), willet (Cataptrophorus semipalmatus), great blue heron...

  13. Erythroderma of unknown etiology

    E-Print Network [OSTI]

    Altiner, Ahmet; Chu, Julie; Patel, Rishi; Latkowski, Jo-Ann; Schaffer, Julie; Sanders, Scott

    2011-01-01

    family history of atopy and psoriasis. Physical examinationdiagnosis such as psoriasis or atopic dermatitis. However,with erythroderma found psoriasis to be the most common

  14. Unknown shrub (Native) 3 

    E-Print Network [OSTI]

    Hugh D. Wilson

    2011-08-10

    Plankton communities are influenced, in part, by water exchange with adjacent estuarine and oceanic ecosystems. Reduced advective transport through tidal passes or with adjacent bay systems can affect chemical processes and biological interactions...

  15. Four unknown constants

    E-Print Network [OSTI]

    2009-02-27

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

  16. Unknown (Native) 5 

    E-Print Network [OSTI]

    James R. Manhart

    2011-08-10

    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...

  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. Improved Dosimetric and Clinical Outcomes With Intensity-Modulated Radiotherapy for Head-and-Neck Cancer of Unknown Primary Origin

    SciTech Connect (OSTI)

    Chen, Allen M.; Li Baoqing; Farwell, D. Gregory; Marsano, Joseph; Vijayakumar, Srinivasan; Purdy, James A.

    2011-03-01

    Purpose: To compare differences in dosimetric, clinical, and quality-of-life endpoints among a cohort of patients treated by intensity-modulated radiotherapy (IMRT) and conventional radiotherapy (CRT) for head-and-neck cancer of unknown primary origin. Methods and Materials: The medical records of 51 patients treated by radiation therapy for squamous cell carcinoma of the head and neck presenting as cervical lymph node metastasis of occult primary origin were reviewed. Twenty-four patients (47%) were treated using CRT, and 27 (53%) were treated using IMRT. The proportions of patients receiving concurrent chemotherapy were 54% and 63%, respectively. Results: The 2-year estimates of overall survival, local-regional control, and disease-specific survival for the entire patient population were 86%, 89%, and84%, respectively. There were no significant differences in any of these endpoints with respect to radiation therapy technique (p > 0.05 for all). Dosimetric analysis revealed that the use of IMRT resulted in significant improvements with respect to mean dose and V30 to the contralateral (spared) parotid gland. In addition, mean doses to the ipsilateral inner and middle ear structures were significantly reduced with IMRT (p < 0.05 for all). The incidence of severe xerostomia in the late setting was 58% and 11% among patients treated by CRT and IMRT, respectively (p < 0.001). The percentages of patients who were G-tube dependent at 6 months after treatment were 42% and 11%, respectively (p < 0.001). Conclusions: IMRT results in significant improvements in the therapeutic ratio among patients treated by radiation therapy for head-and-neck cancer of unknown primary origin.

  19. 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

    2012-10-15

    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 temperatures—and global-mean near-surface temperatures—is 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.

  20. 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.

    2013-10-01

    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.

  1. Fact #888: August 31, 2015 Historical Gas Prices - Dataset | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12, 2015Executive Order14, 20111,FY 2007TrafficDepartmentin 2014 - Dataset

  2. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on77 PAGEMission MissionModeling distributed generation in8 May

  3. 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

  4. 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.

    2014-03-31

    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.

  5. Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    matter smaller than 2.5m and smaller than... CSV State Energy Efficient Appliance Rebate Program (SEEARP) reports database The State Energy Efficient Appliance Rebate Program...

  6. Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    License Info DISCLAIMER NOTICE This GIS data was developed by the National Renewable Energy Laboratory... ZIP Wind: wind power density maps at 50m above ground and 1km...

  7. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, Alabama (UtilityInstruments Inc JumpIowa: EnergyDarkEnergy2007)DataHub project Find

  8. 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)

    2007-09-26

    This report discusses a project that used prototyping technology to access and analyze climate data. This project was initially funded under the DOE’s 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.

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

    E-Print Network [OSTI]

    Gutierrez, Thoralf; Blondel, Vincent D

    2013-01-01

    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.

  10. 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.

  11. 3D Covalent Organic Framework Materials database (Dataset) | SciTech

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnicalInformation4563 LLNL Small-scale Friction(TechnicalRandomConnect Dataset: 3D

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

    SciTech Connect (OSTI)

    Lin, Renping; Zhou, Tianjun; Qian, Yun

    2014-02-01

    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.

  13. \\\\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

  14. \\\\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

    \\\\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 PRODUCTION . . . . . . . . . . . . . . . 75 R C. POTENTIAL CONNECTIONS AMONG OFFSHORE WIND POWER, MARINE

  15. Teleportation of a two-qubit arbitrary unknown state using a four-qubit genuine entangled state with the combination of bell-state measurements

    SciTech Connect (OSTI)

    Dong, Li; Xiu, Xiao-Ming, E-mail: xiuxiaomingdl@126.com [Dalian University of Technology, School of Physics and Optoelectronic Technology (China)] [Dalian University of Technology, School of Physics and Optoelectronic Technology (China); Ren, Yuan-Peng [Bohai University, Higher Professional Technical Institute (China)] [Bohai University, Higher Professional Technical Institute (China); Gao, Ya-Jun [Bohai University, College of Mathematics and Physics (China)] [Bohai University, College of Mathematics and Physics (China); Yi, X. X. [Dalian University of Technology, School of Physics and Optoelectronic Technology (China)] [Dalian University of Technology, School of Physics and Optoelectronic Technology (China)

    2013-01-15

    We propose a protocol transferring an arbitrary unknown two-qubit state using the quantum channel of a four-qubit genuine entangled state. Simplifying the four-qubit joint measurement to the combination of Bell-state measurements, it can be realized more easily with currently available technologies.

  16. 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

  17. 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

  18. 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

  19. Neutron-g Pulse Shape Discrimination with NE213 Liquid Scintillator: Comparison of Different Sampling Rate/Bit Resolution Digital Acquisition Systems Datasets

    E-Print Network [OSTI]

    Neutron-g Pulse Shape Discrimination with NE213 Liquid Scintillator: Comparison of Different Sampling Rate/Bit Resolution Digital Acquisition Systems Datasets

  20. 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

  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)

  2. 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

    2015-04-07

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

  3. 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

  4. 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

  5. A Parallel Formulation of the Spatial Auto-Regression Model for Mining Large Geo-Spatial Datasets

    E-Print Network [OSTI]

    Boley, Daniel

    , Parallel Formulation, Spatial Data Mining 1 Introduction. Explosive growth in the size of spatial databases-spatial datasets is important for many application domains such as regional economics, ecology and environmental Supercomputing Institute. Electrical and Computer Engineering Department, University of Minnesota, Twin

  6. This paper evaluates and compares four volume rendering algorithms that have become rather popular for rendering datasets

    E-Print Network [OSTI]

    Bartz, Dirk

    popular for rendering datasets described on uniform rectilinear grids: raycasting, splatting, shear, and (ii) that with the infinitely thin surface the polygon mesh models the true object structures cloud-like phenomena, (ii) smoothly varying flow fields, or (iii) structures of varying depth (and

  7. Texas A&M University Census Research Data Center Initiative Datasets Available in Census Research Data Centers

    E-Print Network [OSTI]

    Bermúdez, José Luis

    Texas A&M University Census Research Data Center Initiative Datasets Available in Census Research Data Centers Overview This document brings together short descriptions of many of the data sets that are widely used in Census research data centers around the country. To be clear, the compilation here

  8. 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

  9. Pluijmers, Y. and H.J. Onsrud, Commercial Sector Perspectives Regarding Legal Methods For Protecting Spatial Datasets, Proceedings of GIS/LIS `97, 402-404

    E-Print Network [OSTI]

    Onsrud, Harlan J.

    originality and innovation over vested interests in ownership, when in conflict, because doing so will create, if protection of interests in datasets goes too far in shielding data producers, innovation and advancement that explores the protection of intellectual property in geographic datasets in the commercial sector. A survey

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

    E-Print Network [OSTI]

    Morgan, Peter

    2012-01-01

    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...

  11. Testing reanalysis datasets in Antarctica: Trends, persistence properties and trend significance

    E-Print Network [OSTI]

    Wang, Yang; Havlin, Shlomo

    2015-01-01

    The reanalysis datasets provide very important sources for investigating the climate dynamics and climate changes in Antarctica. In this paper, three major reanalysis data are compared with Antarctic station data over the last 35 years: the National Centers for Environmental Prediction and the National Center for Atmospheric Research reanalysis (NCEP1), NCEP-DOE Reanalysis 2 (NCEP2), and the European Centre for Medium-Range Weather Forecasts Interim Re-Analysis (ERA-Interim). In our assessment, we compare the linear trends, the fluctuations around the trends, the persistence properties and the significance level of warming trends in the reanalysis data with the observational ones. We find that NCEP1 and NCEP2 show spurious warming trends in all parts of Antarctica except the Peninsula, while ERA-Interim is quite reliable except at Amundsen-Scott. To investigate the persistence of the data sets, we consider the lag-1 autocorrelation $C(1)$ and the Hurst exponent. While $C(1)$ varies quite erratically in differ...

  12. Visualization and quantification of evolving datasets. Final report: 8-1-93 - 4-30-97

    SciTech Connect (OSTI)

    Zabusky, N.; Silver, D.

    1999-07-20

    The material below is the final technical/progress report of the Laboratory for Visiometrics and Modeling (Vizlab) in visiometrics for the grant entitled Visualization and Quantification of Evolving Phenomena. This includes coordination with DOE supported scientists at Los Alamos National Laboratory (LANL) and Princeton Plasma Physics Laboratory (PPPL), and with theoretical and computational physicists at the National Institute of Fusion Science (NIFS) in Nagoya, Japan and the Institute of Laser Engineering (ILE) in Osaka, Japan. The authors research areas included: Enhancement and distribution of the DAVID environment, this is a 2D visualization environment incorporating many advanced quantifications and diagnostics useful for prediction, understanding, and reduced model formation; Feature extraction, tracking and quantification of 3D time-dependent datasets of non-linear and turbulent simulations both compressible and incompressible. This work is applicable to all 3D time-varying simulations; Visiometrics in shock-interface interactions and mixing for the Richtmyer-Meshkov (RM) environment. This work highlights reduced models for nonlinear evolutions and the role of density stratified interfaces (contact discontinuities) and has application to supernova physics, laser fusion and supersonic combustion. The collaborative projects included areas of (1) Feature extraction, tracking and quantification in 3D turbulence: compressible and incompressible; (2) Numerical Tokamak Project (NTP); (3) Data projection and reduced modeling for shock-interface interactions and mixing. (The Richtmyer-Meshkov (RM) environment relevant to laser fusion and combustion).

  13. 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.

    2002-02-01

    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.

  14. Aggie Band - Unknown Date - 10 

    E-Print Network [OSTI]

    Unknown

    2006-11-22

    in the interlayer of smectites: 1) exchanging interlayer cations, 2) selecting natural bentonites with different cation exchange capacities (CEC), and 3) reducing charge density of a high CEC smectite. Six bentonites were fractionated, with their major...

  15. Aggie Band - Unknown Date - 19 

    E-Print Network [OSTI]

    Unknown

    2006-11-22

    3044g3290uni0020g3288g3276g3299 g3404uni0031g3398g4666uni0031g3398g1848g4667g4672 g3043g3298g3281 g3043g3267 g4673g3398g1848g4672 g3043g3298g3281 g3043g3267 g4673 g2870.???????????????..(eq.1.6) If V = 0 barb2right straight-line IPR, V = 0.8 barb2... on the inflow performance relationship (IPR), the well vertical lift performance (VLP), and the facilities network performance (Economides et al., 1993). 5 Fig. 1.2?A production system (Economides et al., 1993) uni2206g1868 g3404 uni2206g1868g3045g3032...

  16. Radiation Therapy in the Management of Head-and-Neck Cancer of Unknown Primary Origin: How Does the Addition of Concurrent Chemotherapy Affect the Therapeutic Ratio?

    SciTech Connect (OSTI)

    Chen, Allen M.; Farwell, D. Gregory; Lau, Derick H.; Li Baoqing; Luu, Quang; Donald, Paul J.

    2011-10-01

    Purpose: To determine how the addition of cisplatin-based concurrent chemotherapy to radiation therapy influences outcomes among a cohort of patients treated for head-and-neck cancer of unknown primary origin. Methods and Materials: The medical records of 60 consecutive patients treated by radiation therapy for squamous cell carcinoma of the head and neck presenting as cervical lymph node metastasis of occult primary origin were reviewed. Thirty-two patients (53%) were treated by concurrent chemoradiation, and 28 patients (47%) were treated by radiation therapy alone. Forty-five patients (75%) received radiation therapy after surgical resection, and 15 patients (25%) received primary radiation therapy. Thirty-five patients (58%) were treated by intensity-modulated radiotherapy. Results: The 2-year estimates of overall survival, local-regional control, and progression-free survival were 89%, 89%, and 79%, respectively, among patients treated by chemoradiation, compared to 90%, 92%, and 83%, respectively, among patients treated by radiation therapy alone (p > 0.05, for all). Exploratory analysis failed to identify any subset of patients who benefited from the addition of concurrent chemotherapy to radiation therapy. The use of concurrent chemotherapy was associated with a significantly increased incidence of Grade 3+ acute and late toxicity (p < 0.001, for both). Conclusions: Concurrent chemoradiation is associated with significant toxicity without a clear advantage to overall survival, local-regional control, and progression-free survival in the treatment of head-and-neck cancer of unknown primary origin. Although selection bias cannot be ignored, prospective data are needed to further address this question.

  17. Keyword Publications Company Profiles Thesaurus Cited References Indexes

    E-Print Network [OSTI]

    --more clumsily and with less success--are struggling to lift the best hammer they can find. All this activity their studies of wild chimpanzees at two field sites in Tanzania. (Goodall's research station at Gombe

  18. Search forKeyword More Make TBO your

    E-Print Network [OSTI]

    Richardson, Martin C.

    in Comcast after its stock dropped 12 percent. WORLD Oil Sets Record Oil prices set a new record Tuesday. Light crude for September delivery climbed 70 cents to $46.75 in New York trading. On an inflation-adjusted basis, though, oil is still about $10, or 18 percent, cheaper than it was just prior to the first Gulf

  19. Efficient XML Keyword Search: From Graph Model to Tree Model

    E-Print Network [OSTI]

    Ling, Tok Wang

    to finding the lowest common ancestor (LCA) of that set of nodes, which can be efficiently addressed by node ancestor (LCA), i.e. node 0.0.1. Calculating the LCA simply requires c

  20. Exploiting Correlated Keywords to Improve Approximate Information Filtering

    E-Print Network [OSTI]

    Tryfonopoulos, Christos

    , Christos Tryfonopoulos, and Gerhard Weikum Databases and Information Systems Department Max-Planck Institut- scribe to information sources and be notified whenever new documents of interest are published. In approximate infor- mation filtering only selected information sources, that are likely to publish documents

  1. KEYWORDS: MINICELL, FTSZ, ASYMMETRIC CELL DIVISION, NANOCHASSIS, E. COLI, OPERON

    E-Print Network [OSTI]

    Huang, Wei

    the patient. Although many drug-delivery vehicles have been developed to address this issue of off membranes, bacteria present an alternative, but biosafety concerns limit applications. To work around in energy, the environment, information processing, manufacturing, and health and medicine. Unfortunately

  2. 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...

  3. 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

  4. Keywords Climate Stewardship (IBTrACS) Project Introduction

    E-Print Network [OSTI]

    Kossin, James P.

    was developed by NOAA's National Climatic Data Center under the auspices of the World Data Center.H. Levinson (), K.R. Knapp, H. J. Diamond, and J.P. Kossin NOAA National Climatic Data Center, Asheville, NC Cyclones and Climate Change, DOI 10.1007/978-90-481-3109-9_26, © Springer Science + Business Media B

  5. This video will explain how to do Advanced Keyword Searching.

    E-Print Network [OSTI]

    Capogna, Luca

    , AND and AND NOT) to execute this search. By placing an OR between search terms, you will find records containing any one or both of the terms. This will broaden your search considerably. #12;So, if you use connectors to combine the two search statements. If you enter the search as (heart or cardiac or cardio

  6. Instruction Guide Shopping Using the Product Keyword Search

    E-Print Network [OSTI]

    Sin, Peter

    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

  7. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg,Energy LLCALLETE Inc dEA EIS ReportNumberOfUnits Jump

  8. Development and analysis of a 12-year daily 1-km forest fire dataset across North America from NOAA/AVHRR data

    E-Print Network [OSTI]

    Li, Zhanqing

    Development and analysis of a 12-year daily 1-km forest fire dataset across North America from NOAA Forest Service, Fire Sciences Laboratory, P.O. Box 8089, Missoula, MT 59807, United States g NOAA forests play a significant role in the global carbon cycle. While forest fires in North America (NA) have

  9. 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

  10. A Long-Term, High-Resolution Wetland Dataset over the Amazon Basin, Downscaled from a Multiwavelength Retrieval Using SAR Data

    E-Print Network [OSTI]

    A Long-Term, High-Resolution Wetland Dataset over the Amazon Basin, Downscaled from Matiere en Astrophysique, CNRS, Observatoire de Paris, Paris, France FABRICE PAPA Laboratoire d'Etude en Rayonnement et de la Matiere en Astrophysique, CNRS, Observatoire de Paris, France (Manuscript received 29

  11. Abstract--In this study, we analyzed a dataset of time-series vital-signs data collected by standard Propaq travel monitor

    E-Print Network [OSTI]

    Abstract--In this study, we analyzed a dataset of time-series vital-signs data collected combination of the automatically-collected and -qualified vital signs provides the best discrimination between of the vital-signs variables, and used the area under the receiver operating characteristic curve (ROC AUC

  12. Proposed Plan for the R-Area Bingham Pump Outage Pits (643-8G, -9G, -10G) and R-Area Unknown Pits No.1, No.2, No.3 (RUNK-1, -2, -3)

    SciTech Connect (OSTI)

    Mundy, S.

    2002-07-31

    The purpose of this proposed plan is to describe the preferred remedial alternative for the R-Area Bingham Pump Outage Pits (R BPOPs) and the R-Area Unknowns (RUNKs) operable unit (OU) and to provide for public involvement in the decision-making process.

  13. Robust Machine Learning Applied to Astronomical Datasets II: Quantifying Photometric Redshifts for Quasars Using Instance-Based Learning

    E-Print Network [OSTI]

    Nicholas M. Ball; Robert J. Brunner; Adam D. Myers; Natalie E. Strand; Stacey L. Alberts; David Tcheng; Xavier Llorà

    2007-03-23

    We apply instance-based machine learning in the form of a k-nearest neighbor algorithm to the task of estimating photometric redshifts for 55,746 objects spectroscopically classified as quasars in the Fifth Data Release of the Sloan Digital Sky Survey. We compare the results obtained to those from an empirical color-redshift relation (CZR). In contrast to previously published results using CZRs, we find that the instance-based photometric redshifts are assigned with no regions of catastrophic failure. Remaining outliers are simply scattered about the ideal relation, in a similar manner to the pattern seen in the optical for normal galaxies at redshifts z < ~1. The instance-based algorithm is trained on a representative sample of the data and pseudo-blind-tested on the remaining unseen data. The variance between the photometric and spectroscopic redshifts is sigma^2 = 0.123 +/- 0.002 (compared to sigma^2 = 0.265 +/- 0.006 for the CZR), and 54.9 +/- 0.7%, 73.3 +/- 0.6%, and 80.7 +/- 0.3% of the objects are within delta z < 0.1, 0.2, and 0.3 respectively. We also match our sample to the Second Data Release of the Galaxy Evolution Explorer legacy data and the resulting 7,642 objects show a further improvement, giving a variance of sigma^2 = 0.054 +/- 0.005, and 70.8 +/- 1.2%, 85.8 +/- 1.0%, and 90.8 +/- 0.7% of objects within delta z < 0.1, 0.2, and 0.3. We show that the improvement is indeed due to the extra information provided by GALEX, by training on the same dataset using purely SDSS photometry, which has a variance of sigma^2 = 0.090 +/- 0.007. Each set of results represents a realistic standard for application to further datasets for which the spectra are representative.

  14. Quantifying and relating land-surface and subsurface variability in permafrost environments using lidar and surface geophsical datasets

    SciTech Connect (OSTI)

    Hubbard, Susan S [Lawrence Berkeley National Laboratory (LBNL); Gangodagmage, C [Los Alamos National Laboratory (LANL); Dafflon, B [Lawrence Berkeley National Laboratory (LBNL); Wainwright, H [Lawrence Berkeley National Laboratory (LBNL); Peterson, J [Lawrence Berkeley National Laboratory (LBNL); Gusmeroli, A [University of Alaska, Fairbanks; Ulrich, Craig [Lawrence Berkeley National Laboratory (LBNL); Wu, Yuxin [Lawrence Berkeley National Laboratory (LBNL); Wilson, Cathy [Los Alamos National Laboratory (LANL); Rowland, J [Los Alamos National Laboratory (LANL); Tweedie, Craig [University of Texas, El Paso; Wullschleger, Stan D [ORNL

    2013-01-01

    The complexity of permafrost dynamics and its critical impact on climate feedbacks warrant continued development of advanced high-latitude terrestrial ecosystem characterization and monitoring approaches. In this study, we explore the value of remote sensing and surface geophysical data for characterizing land surface and subsurface properties and their linkages in an Alaskan Coastal Plain ecosystem. We base our study on data collected at the end of the 2011 growing season in the Barrow Environmental Observatory, where a nested suite of measurements were collected within a polygon-dominated region including: surface ground penetrating radar, electromagnetic, and electrical resistance tomography data; thaw depth, soil temperature and moisture content, soil texture, soil carbon and nitrogen content, and major and trace cations. Previously-collected lidar data were also available for the study. Analysis of the datasets, individually and in combination, revealed the utility of the methods for characterizing critical land-surface and subsurface properties and associated spatial zonation. Lidar analysis was performed to extract geomorphic metrics (such as slope, curvature, and directed distance of polygons), which potentially indicate drainage potential and permafrost deformation state. Cluster analysis of these lidar-obtained attributes suggested that the land surface can be grouped into three spatially coherent zones, each having a dominant geomorphic expression including: a high centered polygon zone, a low centered polygon zone and a transitional zone. Comparison of the geophysical attributes from radar, electrical resistance tomography, and electromagnetic data with point measurements suggests that the surface geophysical data can provide very high-resolution information about subsurface properties that affect ecosystem feedbacks to climate, such as thaw depth and moisture content. Cluster analysis suggested that the geophysical attributes also varied spatially in a systematic way, suggesting the presence of three laterally distinct subsurface zones. Analysis of zone-based subsurface point measurements suggests that the geophysically-defined zones have unique distributions of hydrological, thermal, and geochemical properties and that the subsurface (geophysically-based) and land-surface (lidar-based) zonation is consistent. Although the close linkage between land surface (polygonal geomorphology) and subsurface (active layer) variability revealed through our study is not surprising, to our knowledge this is the first study to document such relationships using high resolution and non-invasive approaches. This study suggests the potential of using coincident lidar and surface geophysical measurements to quantify land surface and subsurface properties (respectively) and their linkages, which are likely to play a role in terrestrial ecosystem evolution and feedbacks to climate. These findings open the way for future research focused on using combined geophysical and remote sensing datasets to estimate subsurface and land-surface properties in high resolution and over large regions as is needed for process understanding and numerical model initialization in high latitude terrestrial ecosystems.

  15. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on77 PAGEMission MissionModeling distributed generation in8

  16. 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

  17. 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

  18. Treatment Planning Constraints to Avoid Xerostomia in Head-and-Neck Radiotherapy: An Independent Test of QUANTEC Criteria Using a Prospectively Collected Dataset

    SciTech Connect (OSTI)

    Moiseenko, Vitali, E-mail: vmoiseenko@bccancer.bc.ca [Department of Medical Physics, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada); Wu, Jonn [Department of Radiation Oncology, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada); Hovan, Allan [Department of Oral Oncology, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada); Saleh, Ziad; Apte, Aditya; Deasy, Joseph O. [Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY (United States); Harrow, Stephen [Department of Radiation Oncology, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada); Rabuka, Carman; Muggli, Adam [Department of Oral Oncology, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada); Thompson, Anna [Department of Radiation Oncology, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada)

    2012-03-01

    Purpose: The severe reduction of salivary function (xerostomia) is a common complication after radiation therapy for head-and-neck cancer. Consequently, guidelines to ensure adequate function based on parotid gland tolerance dose-volume parameters have been suggested by the QUANTEC group and by Ortholan et al. We perform a validation test of these guidelines against a prospectively collected dataset and compared with a previously published dataset. Methods and Materials: Whole-mouth stimulated salivary flow data from 66 head-and-neck cancer patients treated with radiotherapy at the British Columbia Cancer Agency (BCCA) were measured, and treatment planning data were abstracted. Flow measurements were collected from 50 patients at 3 months, and 60 patients at 12-month follow-up. Previously published data from a second institution, Washington University in St. Louis (WUSTL), were used for comparison. A logistic model was used to describe the incidence of Grade 4 xerostomia as a function of the mean dose of the spared parotid gland. The rate of correctly predicting the lack of xerostomia (negative predictive value [NPV]) was computed for both the QUANTEC constraints and Ortholan et al. recommendation to constrain the total volume of both glands receiving more than 40 Gy to less than 33%. Results: Both datasets showed a rate of xerostomia of less than 20% when the mean dose to the least-irradiated parotid gland is kept to less than 20 Gy. Logistic model parameters for the incidence of xerostomia at 12 months after therapy, based on the least-irradiated gland, were D{sub 50} = 32.4 Gy and and {gamma} = 0.97. NPVs for QUANTEC guideline were 94% (BCCA data), and 90% (WUSTL data). For Ortholan et al. guideline NPVs were 85% (BCCA) and 86% (WUSTL). Conclusion: These data confirm that the QUANTEC guideline effectively avoids xerostomia, and this is somewhat more effective than constraints on the volume receiving more than 40 Gy.

  19. Robust strategies in an evolving unknown environment

    E-Print Network [OSTI]

    Combettes, Patrick Louis

    , S contains the prices of gaz, oil, coal, wind energy... You are not influencing the evolution of these prices ressources, S contains the prices of gaz, oil, coal, wind energy... You are not influencing the evolution(s,j) is increasing in |s -j|. 4) You sell a few products online, and need to decide products and prices for your

  20. Reconstructing MEG Sources with Unknown Correlations

    E-Print Network [OSTI]

    Sahani, Maneesh

    ) is a non-invasive technique for detecting and characterising these magnetic fields. MEG sensors use super-conducting

  1. DBSCAN 2D Tutorial Unknown Author

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    . from GammaCAP import SimTools # The simulation package from GammaCAP import Stats # The statistics package which contains DBSCAN # Here is where you should specify the path to the Fermi Diffuse Model in the primary paper. In [3]: plt.figure(0,figsize=(12,3)) def GenHist(x, xlab,ylab,sp,label=''): plt.subplot(1

  2. 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

  3. 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

  4. 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.

  5. 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

    2015-04-07

    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.

  6. 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)

  7. A condensed version of this article appears as H.J. Onsrud, "Liability in the Use of GIS and Geographical Datasets" in: P. Longley, M. Goodchild, D. Maguire, and D. Rhind (eds.), Geographical Information

    E-Print Network [OSTI]

    Onsrud, Harlan J.

    in the use of geographic information systems and geographic datasets by Harlan J. Onsrud, Department of great interest and concern in the geographic information system (GIS) community. Use of GIS data, and services related to computerized geographic information systems is complicated by legal theory

  8. 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.

    2003-09-01

    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).

  9. 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.

    2014-01-01

    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.

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

    Open Energy Info (EERE)

    RSF Weather Data 2011 A csv containing hourly weather data at NREL's Research and Support Facility (RSF) for 2011. Data and Resources NREL RSF Weather Data 2011CSV Preview Download...

  11. Buildings Energy Data Book - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    a variety of data sets and includes statistics on residential and commercial building energy consumption. Data tables contain statistics related to construction, building...

  12. Hydrogen Compatibility of Materials - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    and fatigue resistance are high priorities to ensure the safe design of load-bearing structures. To support the needs of the hydrogen community, Sandia National Laboratories...

  13. 253.perlbmk, ref.535 Datasets profile vs. Reference Dataset

    E-Print Network [OSTI]

    Minnesota, University of

    applications. #12;Resolve Memory Leaks Long Running Server Applications 07/26/98 2 Index Terms dynamic memory

  14. Conductance Steamflow relationship - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    rates. Darajat is a vapor geothermal field located in West Java, Indonesia. First production from the field was started in 1994 and additional capacity was added in 2000 and...

  15. DOE Facility Database - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    DOE Facility Database Data and Resources DOE Facility DatabaseCSV Preview Download Research and Develo... User Facilities Additional Info Field Value Author U.S. Office of...

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

    Open Energy Info (EERE)

    Annual Coal Consumption by Country Total annual coal consumption by country from 1980 to 2012 (available as Quadrillion Btu). Downloaded from the Energy Information Administration...

  17. Bhutan Solar Resources - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    Bhutan Solar Resources GIS data for Bhutan's direct normal irradiance (DNI), global horizontal irradianc, and latitude tilt. Data and Resources Bhutan Direct normal irradianceZIP...

  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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPI Ventures Ltd Jump to: navigation, search Name: NPIProgram

  19. 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

    2014-05-16

    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.

  20. Welcome - 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEtGeorgia: Energy Resources Jump to:Search Your Data Search Popular Tags

  1. About - OpenEI Datasets

    Open Energy Info (EERE)

    and Netherland government portals, as well as city and municipal sites in the US, UK, Argentina, Finland and elsewhere. CKAN: http:ckan.org CKAN Tour: http:ckan.orgtour...

  2. Fluxnet Synthesis Dataset Collaboration Infrastructure

    E-Print Network [OSTI]

    Agarwal, Deborah A.

    2009-01-01

    the next few months. The ancillary data describing the sitesto all available site ancillary data as well as summarythe user. Changes to site ancillary information can also be

  3. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O DBiomassBudget BasicDeliveringOverview: ProgressR8

  4. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (UtilityMichigan)data book Home Graham7781's picture Submitted

  5. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (UtilityMichigan)data book Home Graham7781's picture Submitteddatasets

  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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for download onst,/0 en BigArtby

  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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for download onst,/0 en BigArtby

  8. Inverting the Point Process Model for Fast Phonetic Keyword Search Keith Kintzley1

    E-Print Network [OSTI]

    on 163 hours of audio (nearly 150,000,000x real-time). However, achieving this search speed requires evaluation provides some insight. This system recorded an average query time of 0.0041 sec per hour of speech (878,000x real-time) and an index size of 0.327 MB per hour of speech. However, these numbers do

  9. SealScope Project Keywords: Seal quality, statistical process control, control chart, quality control, packaging.

    E-Print Network [OSTI]

    Davis, Jesse

    control, packaging. Settings of the project: For many packaged products, especially in the food industry of consumption. Shelf-life depends on the initial quality of the product before packaging and the eventual loss is the quality of the packaging. The most important characteristics of the packaging with respect to optimal

  10. The importance of tidal creek ecosystems Keywords: Estuary; Tidal creek; Pollution

    E-Print Network [OSTI]

    Mallin, Michael

    . They are most abundant along the Atlantic Seaboard from New Jersey to Florida, and along the Gulf Coast). Tidal creeks are especially abundant in low-energy systems such as protected areas behind barrier. As an example, the four southernmost coastal counties in North Carolina (Onslow, Pender, New Hanover

  11. A Cloud Speaker Authentication System Based on Keyword Verification and Speaker Verification

    E-Print Network [OSTI]

    and Speech Processing (ROCLING 2013) 226 #12;Precision Recall Android Windows 7 (MySQL) Linux Fedora

  12. KEYRY: A Keyword-Based Search Engine over Relational Databases Based on a Hidden Markov

    E-Print Network [OSTI]

    Velegrakis, Yannis

    .title SELECT * FROM movie JOIN actor ON ... Sam Worthington, Zoe Saldana, Sigourney Weaver, ... Fig. 1. KEYRY

  13. IEEE TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING 1 Keyword Extraction and Clustering for Document

    E-Print Network [OSTI]

    , such as `chocolate', `pistol', or `lighter'. What would then be the most helpful 3­5 Wikipedia pages to recommend

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

    E-Print Network [OSTI]

    Hanson, F. Allan

    2002-01-01

    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...

  15. 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

  16. Keyword for classification: Agent-Based Modelling and Simulation, Retail Productivity, Management Practices, Shopping Behavior.

    E-Print Network [OSTI]

    Aickelin, Uwe

    for Organisational Strategy, Learning & Change, Leeds University Business School University of Leeds Leeds, LS2 9JT UK Email: h.celia@leeds.ac.uk; c.w.clegg@leeds.ac.uk #12;2 MULTI-AGENT SIMULATION AND MANAGEMENT for Modelling the Impact of Management Practices As a result of a literature review we have undertaken (Siebers

  17. Predictive Entropy Search for Bayesian Optimization with Unknown Constraints

    E-Print Network [OSTI]

    Hernández-Lobato, José Miguel; Gelbart, Michael A.; Hoffman, Matthew W.; Adams, Ryan P.; Ghahramani, Zoubin

    2015-06-01

    package1, and the prediction time is computed as the average time of 1000 predictions, each for a batch of size 128. The net- work is trained on the MNIST digit classification task with 1https://github.com/nitishsrivastava/deepnet momentum-based stochastic... gradient descent for 5000 iter- ations. The objective is reported as the classification error rate on the validation set. As above, we treat constraint violations as the worst possible value (in this case a classi- fication error of 1.0). Figure 3(a) shows...

  18. How do Humans Determine Reflectance Properties under Unknown Illumination?

    E-Print Network [OSTI]

    Variations in Lighting: Psychophysics & Computation. Colocated with CVPR 2001. Kauai, Hawaii, December 2001

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

    E-Print Network [OSTI]

    Kim, Chang Young

    2012-07-16

    of the transient target localization problem such as Single Robot Single Target (SRST), Multiple Robots Single Target (MRST), Single Robot Multiple Targets (SRMT) and Multiple Robots Multiple Targets (MRMT). We propose the expected searching time (EST) as a primary...

  20. Microbes in Thawing Permafrost: The Unknown Variable in the Climate...

    Office of Scientific and Technical Information (OSTI)

    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...

  1. Microbes in thawing permafrost: the unknown variable in the climate...

    Office of Scientific and Technical Information (OSTI)

    and Biological Problems in Soil Science, Russian Academy of Sciences U.S. Department of Energy, Joint Genome Institute Bob L ORNL Alfred Wegener Institute for Polar and Marine...

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

    DOE Patents [OSTI]

    Grate, Jay W.; Wise, Barry M.

    2003-08-12

    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.

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

    DOE Patents [OSTI]

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

    2002-01-01

    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.

  4. Syllables and the M Language : improving unknown word guessing

    E-Print Network [OSTI]

    Jacokes, M. Brian (Michael Brian)

    2008-01-01

    Despite the huge amount of computer data that exists today, the task of sharing information between organizations is still tackled largely on a case-by-case basis. The M Language is a data language that improves data sharing ...

  5. Towards Predictable Precision Manipulation of Unknown Objects with Underactuated Fingers

    E-Print Network [OSTI]

    Haller, Gary L.

    , precision manipulation, kinematic analysis 1 Introduction The ability to use the fingers to manipulate- vated by a study of parallel mechanisms. Inspired by the end-effector motion and system reconfiguration the manipulation planning problem. Although mechanical design of robotic hands has largely focused

  6. Complete and Fast Unknown Tag Identification in Large RFID Systems

    E-Print Network [OSTI]

    Xiao, Bin

    applications such as ware- house management, object tracking, and inventory control. In these applications, active or passive RFID tags are attached to objects (e.g., persons and products). Every tag has an unique

  7. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo,AltFuelVehicle2FlatDemandMonth3 Jump to: navigation, searchPhone Jump to:Plants with

  8. Discovering a previously unknown mechanism that halts solar eruptions

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB PacketDiesel pricesCenter atDirectory Searchablebefore they blast

  9. Discovering a previously unknown mechanism that halts solar eruptions

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

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

  10. 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.

    2002-10-01

    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.

  11. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power CompanyCROSS-VALIDATION OF

  12. Afghanistan Pakistan High Resolution Wind Resource - Datasets...

    Open Energy Info (EERE)

    Pakistan High Resolution Wind Resource This shapefile containing 50 meter height data has been validated by NREL and wind energy meteorological consultants. However, the data is...

  13. Wind Integration National Dataset (WIND) Toolkit

    Office of Energy Efficiency and Renewable Energy (EERE)

    For utility companies, grid operators and other stakeholders interested in wind energy integration, collecting large quantities of high quality data on wind energy resources is vitally important....

  14. A new bed elevation dataset for Greenland

    E-Print Network [OSTI]

    2013-01-01

    S. : A new ice thick- ness and bed data set for theto measure ice thick- ness in areas of warm and fractured

  15. A new bed elevation dataset for Greenland

    E-Print Network [OSTI]

    2013-01-01

    pathways in Antarc- tica to small ice-sheet changes,flown extensively in Antarc- tica including surveys over the

  16. Scale Invariant Metrics of Volumetric Datasets

    E-Print Network [OSTI]

    Raskar, Ramesh

    Nature reveals itself in similar structures of different scales. A child and an adult share similar organs yet dramatically differ in size. Comparing the two is a challenging task to a computerized approach as scale and ...

  17. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al., 2013) | Open EnergyDBpediaValue Jump to: navigation,

  18. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res. Bd.County, Arkansas:

  19. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res. Bd.County, Arkansas:documentation

  20. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 ThrottledARCHIVE/

  1. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines lightGeospatial ToolkitSMARTS

  2. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePowerEdistoWhiskeyFootprint Ventures Jump to:45 - Well PermitCountry Jump

  3. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam:on Openei |source Historypub [ICO] Name Last modified Size

  4. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam:on Openei |source Historypub [ICO] Name Last modified Size/

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

    E-Print Network [OSTI]

    Bermúdez, José Luis

    Biomolecular NMR Laboratory http://biobionmr.tamu.edu/ Nuclear Magnetic Resonance, Biology, Biophysics http://www.humandimensionslab.org/ Human, Relationship, Natural Resources, Conservation Knowledge Engineering Laboratory http://kelab.tamu.edu/ Environmental Science, Environmental Management, Landscape

  6. 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

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

    E-Print Network [OSTI]

    Benson, Christopher L.

    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 ...

  8. 24CSI Communications J U L Y 2 0 0 5 Keywords: Sensors, Sensor Networks, Grid computing,

    E-Print Network [OSTI]

    Melbourne, University of

    miniaturization and micro-electromechanical systems (MEMS) have led to the creation of small sensor nodes which include environment monitoring with prediction and early warning of natural disasters, and missile. This powerful combination would enable, for example, effective early warning of natural disasters

  9. 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

  10. Conference program and abstracts. International Biogeography Society 6th Biennial Meeting – 9-13 January 2013, Miami, Florida, USA

    E-Print Network [OSTI]

    2012-01-01

    in Mexico. Keywords: spatial ecology, migration, hotspots,Mexico. Information for this species showed an incomplete genetic structure, unknown origin and controversial migration

  11. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEtGeorgia:Illinois: Energy ResourcesTurboPower IncHomesWindWind Resources by

  12. Observational Datasets We use two different satellite soil moisture datasets, one derived from the Advanced Microwave

    E-Print Network [OSTI]

    Guichard, Francoise

    the Advanced Microwave Scanning Radiometer Earth Observing system (AMSRE) on the Aqua satellite and another from overpasses of satellites with passive microwave sensors onboard as a starting point is done by using motionvectors derived from geostationary data to propagate the microwave rainfall

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

    E-Print Network [OSTI]

    Manufacturing Polylactide Biopolymer Resin, at plant Chemical Manufacturing Recycled Postconsumer HDPE Pellet Recycled Postconsumer PET Flake Recycled Postconsumer PET Pellet Waste Management and Remediation Service Bole Only slash in the Woods, INW Delimbing, slide boom delimber Felling, feller buncher, > 200 HP, INW

  14. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing Capacity forSilicium deEnergyCompany Limited SPC JumpSolar Resources by

  15. Incorporating uncertainty in spatial structure for viability predictions: a case study of California sea lions (Zalophus

    E-Print Network [OSTI]

    Gerber, Leah R.

    State University, Tempe, AZ, USA 2 CICIMAR-IPN, La Paz Baja California Sur, Mexico Keywords California) and Holmes & Fagan (2002) modified and tested a DA method for datasets corrupted by observation error

  16. QUT Digital Repository: http://eprints.qut.edu.au/

    E-Print Network [OSTI]

    Liang, Huizhi "Elly"

    @student.qut.edu.au r.nayak@qut.edu.au Abstract The maintenance dataset provided by SunWater contains information about proposed. . Keywords: Text Mining, Clustering, Semantic Network, Association Rule Mining, pump failure mode for extracting useful information from the maintenance dataset that is collected by SunWater. Sun

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

    E-Print Network [OSTI]

    , that the increased power production from the main wing is exactly balanced by the power consumption of the flow out on wind turbine rotors using simple vortex tube analysis · Free wake lifting line (FWLL) analysis XI & XX meeting June 14.th 2007: Can winglets increase Cp? Why try putting winglets on wind turbines

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

    E-Print Network [OSTI]

    Storage SOFC power plant Surplus wind used for hydrogen production Transport =0,85 =0,88 =0,55 =0,35 =0 wind power if the wind turbines are grid connected ? Can you guide "surplus" wind power electrons.Karlsson@risoe.dk Balancing Energy Systems of Fluctuating Nature Electricity from wind Nordic Energy System Hydro inflow

  19. 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

    , Applied Cybernetics, Trondheim, Norway, 2Norwegian University of Science and Technology, Department of Chemical Engineering, Norwegian University of Science and Technology, Trondheim, Norway, Igor Dejanovic University of Technology, Delft, Netherlands Abstract for AIChE Annual Meeting 2011, separations division

  20. Start | Grid View | Browse by Day OR Group/Topical | Author Index | Keyword Index | Personal Scheduler Controlled Variables Selection for a Gas-to-Liquids Process

    E-Print Network [OSTI]

    Skogestad, Sigurd

    for converting natural gas to economical, clean and high quality liquid fuels. A GTL plant has 3 main parts (i. Nominally, the optimal ratios of oxygen and water to hydrocarbons (fresh natural gas and recycle of natural gas is also a degree of freedom and it is tried to maximize the variable income of the plant

  1. 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

    1999-01-01

    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...

  2. Regression analysis with missing data and unknown colored noise: application to the MICROSCOPE space mission

    E-Print Network [OSTI]

    Baghi, Q; Bergé, J; Christophe, B; Touboul, P; Rodrigues, M

    2015-01-01

    The analysis of physical measurements often copes with highly correlated noises and interruptions caused by outliers, saturation events or transmission losses. We assess the impact of missing data on the performance of linear regression analysis involving the fit of modeled or measured time series. We show that data gaps can significantly alter the precision of the regression parameter estimation in the presence of colored noise, due to the frequency leakage of the noise power. We present a regression method which cancels this effect and estimates the parameters of interest with a precision comparable to the complete data case, even if the noise power spectral density (PSD) is not known a priori. The method is based on an autoregressive (AR) fit of the noise, which allows us to build an approximate generalized least squares estimator approaching the minimal variance bound. The method, which can be applied to any similar data processing, is tested on simulated measurements of the MICROSCOPE space mission, whos...

  3. Regression analysis with missing data and unknown colored noise: application to the MICROSCOPE space mission

    E-Print Network [OSTI]

    Q. Baghi; G. Métris; J. Bergé; B. Christophe; P. Touboul; M. Rodrigues

    2015-03-04

    The analysis of physical measurements often copes with highly correlated noises and interruptions caused by outliers, saturation events or transmission losses. We assess the impact of missing data on the performance of linear regression analysis involving the fit of modeled or measured time series. We show that data gaps can significantly alter the precision of the regression parameter estimation in the presence of colored noise, due to the frequency leakage of the noise power. We present a regression method which cancels this effect and estimates the parameters of interest with a precision comparable to the complete data case, even if the noise power spectral density (PSD) is not known a priori. The method is based on an autoregressive (AR) fit of the noise, which allows us to build an approximate generalized least squares estimator approaching the minimal variance bound. The method, which can be applied to any similar data processing, is tested on simulated measurements of the MICROSCOPE space mission, whose goal is to test the Weak Equivalence Principle (WEP) with a precision of $10^{-15}$. In this particular context the signal of interest is the WEP violation signal expected to be found around a well defined frequency. We test our method with different gap patterns and noise of known PSD and find that the results agree with the mission requirements, decreasing the uncertainty by a factor 60 with respect to ordinary least squares methods. We show that it also provides a test of significance to assess the uncertainty of the measurement.

  4. Regression Analysis with an Unknown Link Function: the Adjoint Projection Pursuit Regression

    E-Print Network [OSTI]

    Naihua Duan

    2011-01-01

    Misspecified Non- linear Regression Models," Journal of theAdjoint Projection Pursuit Regression also give examples inL is the estimated linear regression of x on bx. Note Remark

  5. "Open Sesame!" Adaptive Force/Velocity Control for Opening Unknown Doors

    E-Print Network [OSTI]

    Kragic, Danica

    that is effective for stiff industrial robots. The uncertainties in the manipulation of these kinematic mechanisms of the door or the drawer: door's inertia, dynamics of the hinge mechanism etc., and (b) kinematic with the dynamics and kinematics of a door must be dealt with to achieve successful opening. This paper proposes

  6. 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

  7. Optimal Alphabet Partitioning for Semi-Adaptive Coding of Sources of Unknown Sparse Distributions

    E-Print Network [OSTI]

    Chiang, Yi-Jen

    -adaptive Hu#11;man code #3; dchen01@utopia.poly.edu. Research supported by NSF Grant ACI-0118915. y yjc and use a product code architecture where a symbol is identi#12;ed by a set number and then by the element

  8. Improved Fast Replanning for Robot Navigation in Unknown Terrain Sven Koenig

    E-Print Network [OSTI]

    often operate in domains that are only incom- pletely known, for example, when they have to move from Georgia Institute of Technology Atlanta, GA 30312-0280 skoenig@cc.gatech.edu Maxim Likhachev School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 maxim+@cs.cmu.edu Abstract Mobile robots

  9. Improved Fast Replanning for Robot Navigation in Unknown Terrain Sven Koenig

    E-Print Network [OSTI]

    Mobile robots often operate in domains that are only incom­ pletely known, for example, when they have of Computing Georgia Institute of Technology Atlanta, GA 30312­0280 skoenig@cc.gatech.edu Maxim Likhachev School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 maxim+@cs.cmu.edu Abstract

  10. Robust and Efficient Covering of Unknown Continuous Domains with Simple, Ant-Like

    E-Print Network [OSTI]

    Bruckstein, Alfred M.

    want to cover (or clean or search or paint) a connected domain in R2 simple robots having effectors (or that a domain was covered by the (team of) robots if each and every point of the domain was swept by a robot effector. In fact, every time we want to build an automatic machine suitable for applications such as floor

  11. Completing unknown portions of 3D scenes by 3D visual propagation 

    E-Print Network [OSTI]

    Breckon, Toby P

    As the requirement for more realistic 3D environments is pushed forward by the computer {graphics | movie | simulation | games} industry, attention turns away from the creation of purely synthetic, artist derived environments towards the use of real...

  12. EM, MCMC, and Chain Flipping for Structure from Motion with Unknown Correspondence

    E-Print Network [OSTI]

    sponsoring institutions: SAIC cor­ poration; KIRIN brewery company; SONY corporation; DOT and NHTSA; NSF

  13. Microbes in Thawing Permafrost: The Unknown Variable in the Climate Change Equation

    SciTech Connect (OSTI)

    Graham, David E; Wallenstein, Matthew D; Vishnivetskaya, T.; Waldrop, Mark P.; Phelps, Tommy Joe; Pfiffner, Susan M.; Onstott, T. C.; Whyte, Lyle; Rivkina, Elizaveta; Gilichinsky, David A; Elias, Dwayne A; Mackelprang, Rachel; Verberkmoes, Nathan C; Hettich, Robert {Bob} L; Wagner, Dirk; Wullschleger, Stan D; Jansson, Janet

    2012-01-01

    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).

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

    SciTech Connect (OSTI)

    Graham, David E; Wallenstein, Matthew D; Vishnivetskaya, T.; Waldrop, Mark P.; Phelps, Tommy Joe; Pfiffner, Susan M.; Onstott, T. C.; Whyte, Lyle; Rivkina, Elizaveta; Gilichinsky, David A; Elias, Dwayne A; Mackelprang, Rachel; Verberkmoes, Nathan C; Hettich, Robert {Bob} L; Wagner, Dirk; Wullschleger, Stan D; Jansson, Janet

    2012-01-01

    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

  15. Two-color X-rays Give Scientists 3-D View of the Unknown | U...

    Office of Science (SC) Website

    to researchers at SLAC National Accelerator Laboratory's Linac Coherent Light Source (LCLS). They incorporated a series of advances to hit samples with a pair of precisely tuned...

  16. Unknown Word Extraction from Multilingual Code-Switching Department of Information Management

    E-Print Network [OSTI]

    , ( ) ( ) ( ) ( ) i j i j i j i j i j P w w C w w N PMI w w P w P w C w C w = = i (1) ( , )i jC w w iw jw N Google ( , )i jC w w ( )iC w ( )jC w N 1012 (N PMI ) PMI PMI () Entropy (Entropy " "" Google 999 " " 212 58 " 336 "" entropy 1( ) { ,..., }t nRC w = w w wt (right context) wt wt

  17. A LEARNING ALGORITHM FOR COMMUNICATING MARKOV DECISION PROCESSES WITH UNKNOWN TRANSITION MATRICES

    E-Print Network [OSTI]

    Yasuda, Masami

    of Informatics and Cybernetics Research Association of Statistical Sciences,Vol.39 - r - r- FUKUOKA, JAPAN 2007 #12;Bulletin of Informatics and Cybernetics, Vol. 39, 2007 A LEARNING ALGORITHM FOR COMMUNICATING Education, Yuge National College of Maritime Technology, Ehime 794-2593 Japan, horiguchi

  18. RECONSTRUCTING THE UNKNOWN LOCAL VOLATILITY FUNCTION THOMAS F. COLEMAN, YUYING LI, AND ARUN VERMA

    E-Print Network [OSTI]

    Li, Yuying

    Abstract. Using market European option prices, a method for computing a smooth local volatility function, and pricing exotic options. A spline functional approach is used: the local volatility function is represented. Accuracy of pricing and hedging is also illustrated. Moreover, it is demonstrated that, using different

  19. Set-Membership Identification Based Adaptive Robust Control of Systems With Unknown Parameter Bounds

    E-Print Network [OSTI]

    Yao, Bin

    . The estimated parameter variation bounds are subsequently used to construct a continuous-time domain projection Bounds Lu Lu and Bin Yao Abstract-- In this paper, a hybrid control architecture is proposed to obtain non-conservative real-time estimation of the regions where model parameters could actually be

  20. Dynamics of Electricity Markets with Unknown Utility Functions: An Extremum Seeking Control Approach

    E-Print Network [OSTI]

    Ma, Kai; Hu, Guoqiang; Spanos, Costas J

    2014-01-01

    E. El-Saadany, “A summary of demand response in electricityS. H. Low, “Optimal demand response: Problem formulation anda year. Recently, demand response is proposed to control the

  1. 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 ...

  2. Experiment 7. Raman Spectroscopy. Identification of unknown solution Identification of Inorganic Anions in Solution.

    E-Print Network [OSTI]

    Nazarenko, Alexander

    - and SO3 2- , It is worth mentioning that contrary to traditional qualitative analysis, one can instantly distinguish ions with various degree of protonation: HCO3 - and CO3 2- , HSO3 - and SO3 2- , etc. Another from the factor used for algebraic subtraction in step 2. In this case, some compositions (SO3 2

  3. Patchiness and Spatial Distribution of Laccase Genes of Ectomycorrhizal, Saprotrophic, and Unknown Basidiomycetes

    E-Print Network [OSTI]

    in litter-associated polyphenol degradation, but little is known about the diversity and spatial, are involved in decomposition of lignin and phenols [6, 11, 12]. Laccase genes have been detected within- rotrophs [21], and their ability to degrade plant cell wall polymers appears to be limited [6]. Recent

  4. L2-Gain Optimization for Robust Bipedal Walking on Unknown Terrain Hongkai Dai and Russ Tedrake

    E-Print Network [OSTI]

    Tedrake, Russ

    control analysis and design methodologies without additional machinery. We attempt to provide that machinery here. In particular, we quantify the robustness of the system to terrain perturbations by defining

  5. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you notHeatMaRIEdioxide capture | Center for Gas SeparationsRelevant

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

    E-Print Network [OSTI]

    Drever, Jonathan

    2014-08-26

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

  7. Partitioning Datasets Based on Equalities Among Riccardo Porreca a

    E-Print Network [OSTI]

    Ferrari-Trecate, Giancarlo

    be consistent with the data, in the sense that they are accepted by generalized likelihood ratio tests alternatives. Given the availability of GLR tests for checking if a single partition is acceptable [25, chapter with a given confidence level. Given the fact that testing all possible partitions is a computationally

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

    E-Print Network [OSTI]

    Yuan, Shaoyu

    2009-01-01

    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 ...

  9. Integrated: Geospatial Toolkit for Honduras from NREL - Datasets...

    Open Energy Info (EERE)

    and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected...

  10. OpenEI - Organizations - OpenEI Datasets

    Open Energy Info (EERE)

    (SOX), particulate matter smaller than 2.5m and smaller than... CSV Indonesia Crude Oil Refinery Outlook to 2020 Market Research Background & Res... Description Indonesia...

  11. DATASET BRIEF Proteomic characterization of the major arthropod

    E-Print Network [OSTI]

    Gotelli, Nicholas J.

    of biomolecules generated by a functioning ecosystem represents both a potential resource for sustainable harvest services in the form of plant and animal products that can be sustainably harvested [2]. Furthermore, plant. The leaves of this plant form a simple, open tube that fills with roughly 10 mL of rainwater and functions

  12. DOE Launches New Dataset on its Environmental Reviews | Department...

    Office of Environmental Management (EM)

    Policy Act (NEPA), the Department of Energy (DOE) has created a comprehensive database of categorical exclusion (CX) determinations. The information is available at...

  13. Federating LHCb datasets using the DIRAC File catalog

    E-Print Network [OSTI]

    Haen, Christophe; Frank, Markus; Tsaregorodtsev, Andrei

    2015-01-01

    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...

  14. On the Processing of Extreme Scale Datasets in the Geosciences

    E-Print Network [OSTI]

    Pallickara, Sangmi

    as well as the earth's core. Rapid advances in sensor deployments, computational capacity, and data is not straightforward. Managing high volumes of data from the remote sensors such as satellites or radars poses interesting data management issues such as curation, provenance, metadata creation, and public distribution

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

    Open Energy Info (EERE)

    miscellaneous electric load plugs, and appliances found in "common households" given by costs broken out by months. All data within each cell is a floating point number with the...

  16. Outlier Detection in Smart Environment Structured Power Datasets

    E-Print Network [OSTI]

    Cook, Diane J.

    not cause great impact to the rising household energy consumption. As a result, much of global consumption in the energy consumption is clearly observed in this past decade, and so is the rise in the need for energy State University, Pullman, WA 99164-2752 Abstract--Household electricity consumption is a direct

  17. 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

  18. 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

  19. NREL GIS Data: Bhutan High Resolution Wind Resource - Datasets...

    Open Energy Info (EERE)

    NREL GIS Data: Bhutan High Resolution Wind Resource This shapefile containing 50 meter height data has been validated by NREL and wind energy meteorological consultants. However,...

  20. Computational strategies for understanding underwater optical image datasets

    E-Print Network [OSTI]

    Kaeli, Jeffrey W

    2013-01-01

    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 ...

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

    E-Print Network [OSTI]

    Rowland, Danny

    2009-11-18

    NED Orthoimagry downloaded from http://datagateway.nrcs.usda.gov/GatewayHome.html Orthoimagery of Area West Virginia Valley Fills & Forested Area ... NED Orthoimagry downloaded from http://datagateway.nrcs.usda.gov/GatewayHome.html Orthoimagery of Area West Virginia Valley Fills & Forested Area ...

  2. 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.

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

    Open Energy Info (EERE)

    2009, reported in MWh. Also includes facility-level data (directly from EIA Form 923). Data and Resources Energy Generation by Fuel Source and State, 2009XLS Energy Generation by...

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

    SciTech Connect (OSTI)

    Billinge, Simon

    2011-05-31

    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.

  5. Predicting Weather Regime Transitions in Northern Hemisphere Datasets

    E-Print Network [OSTI]

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

    2011-01-01

    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

  6. Predicting Weather Regime Transitions in Northern Hemisphere Datasets

    E-Print Network [OSTI]

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

    2006-01-01

    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. Predicting Weather Regime Transitions in Northern Hemisphere Datasets

    E-Print Network [OSTI]

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

    2006-01-01

    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

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

    E-Print Network [OSTI]

    Appelrath, Hans-Jürgen

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

  9. Scalable Computation of Streamlines on Very Large Datasets

    SciTech Connect (OSTI)

    Pugmire, David; Childs, Hank; Garth, Christoph; Ahern, Sean; Weber, Gunther H.

    2009-09-01

    Understanding vector fields resulting from large scientific simulations is an important and often difficult task. Streamlines, curves that are tangential to a vector field at each point, are a powerful visualization method in this context. Application of streamline-based visualization to very large vector field data represents a significant challenge due to the non-local and data-dependent nature of streamline computation, and requires careful balancing of computational demands placed on I/O, memory, communication, and processors. In this paper we review two parallelization approaches based on established parallelization paradigms (static decomposition and on-demand loading) and present a novel hybrid algorithm for computing streamlines. Our algorithm is aimed at good scalability and performance across the widely varying computational characteristics of streamline-based problems. We perform performance and scalability studies of all three algorithms on a number of prototypical application problems and demonstrate that our hybrid scheme is able to perform well in different settings.

  10. Principal Patterns on Graphs: Discovering Coherent Structures in Datasets

    E-Print Network [OSTI]

    Benzi, Kirell; Vandergheynst, Pierre

    2015-01-01

    In this work, we propose a fast, robust and scalable method for retrieving and analyzing recurring patterns of activity induced by a causal process, typically modeled as time series on a graph. We introduce a particular type of multilayer graph as a model for the data. This graph is structured for emphasizing causal relations between connected nodes and their successive time series values. Within the data, the patterns of activity are assumed to be dynamic, sparse or small compared to the size of the network. For some applications they are also expected to appear in a repeated manner over time but are allowed to differ from an exact copy. The analysis of the activity within a social network and within a transportation network illustrates the power and efficiency of the method. Relevant information can be extracted, giving insights on the behavior of group of persons in social networks and on traffic congestion patterns. Moreover, in this era of big data, it is crucial to design tools able to handle large data...

  11. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res. Bd.County, Arkansas:documentation

  12. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines lightGeospatial ToolkitSMARTS -BeingFutureResearch Staff NREL'sToolkit

  13. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon:OGE EnergyOklahoma:VisualizingOpenEIDatasets

  14. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePowerEdisto Electric Coop, Inc JumpElko,Servizi Engineering SpA EEnergy API

  15. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePower Ventures Jump to: navigation,EnergyColoradoBank

  16. Clock Agreement Among Parallel Supercomputer Nodes (Dataset) | SciTech

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing Bacteria (TechnicalTransmission,TextitSciTechinRequirements fordioxide inputs to

  17. 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)

    2010-08-03

    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.

  18. An efficient preconditioned iterative solution of fully-coupled elastohydrodynamic lubrication problems

    E-Print Network [OSTI]

    Jimack, Peter

    An efficient preconditioned iterative solution of fully-coupled elastohydrodynamic lubrication elastohydrodynamic lubrication line and point contact problems. The new blockwise preconditioner that is presented that both grow linearly with the number of unknowns. Keywords: elastohydrodynamic lubrication; finite

  19. Searches for periodic gravitational waves from unknown isolated sources and Scorpius X-1: Results from the second LIGO science run

    E-Print Network [OSTI]

    Tanner, David B.

    . Berukoff,1 J. Betzwieser,18 P. T. Beyersdorf,29 B. Bhawal,15 I. A. Bilenko,23 G. Billingsley,15 R. Biswas. Lam,4 M. Landry,16 B. Lantz,32 A. Lazzarini,15 B. Lee,53 M. Lei,15 J. Leiner,56 V. Leonhardt,25 I

  20. Elucidation of genes of unknown function in alpha carboxysome operons: acRAF, BMVs and carbon regulatory PII proteins.

    E-Print Network [OSTI]

    Wheatley, Nicole Marie

    2014-01-01

    Page 09 Figure 3 BVM-1-MBP and BMV-2 characterization byFigure 3 Figure 3. BVM-1 and BMV-2 characterization by SDS-

  1. Detecting Unknown Turning Points Using Piecewise Growth Mixture Models: A Comparison of ML/EM versus Bayesian Estimation 

    E-Print Network [OSTI]

    Ning, Ling

    2015-08-05

    (IC) statistics, (b) nested model likelihood ratio test derivative, (c) the entropy statistic and entropy-penalty based indexes, (d) goodness of fit tests (Bauer & Curran, 2003b; Liu & Hancock, 2014; Peugh & Fan, 2012; Peugh & Fan, 2015; Tofighi... rescaled entropy 18 measure proposed by Ramaswamy, DeSarbo, Reibstein, and Robinson (1993). The rescaled entropy ranges from 0 to 1 with 1 indicating perfect classification (Bauer & Curran, 2003a; B. Muthén & Muthén, 2000). Celeux & Soromenho (1996...

  2. Towards Accurate and Efficient Representation of Image Irradiance of Convex-Lambertian Objects Under Unknown Near Lighting

    E-Print Network [OSTI]

    Louisville, University of

    Towards Accurate and Efficient Representation of Image Irradiance of Convex-Lambertian Objects.farag@louisville.edu Abstract Surface irradiance signals are turned into outgoing radi- ance through the surface reflectance-frequency nature, irradiance signals can be represented using low-order basis functions, where spher- ical

  3. Resource Allocation with Unknown Constraints: An Extremum Seeking Control Approach and Applications to Demand Response

    E-Print Network [OSTI]

    Ma, Kai; Hu, Guoqiang; Spanos, Costas

    2014-01-01

    model-free optimization problem [11] and has been applied to the wind energy conversion system [12], axial-flow compressor [

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

    E-Print Network [OSTI]

    Shin, Dong Hae

    2008-01-01

    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,

  5. 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

    2006-01-01

    statistical estimation theory, and their applications in multiple-input multiple-output (MIMO) and multicarrier (OFDM) wireless communications.

  6. Resource Allocation with Unknown Constraints: An Extremum Seeking Control Approach and Applications to Demand Response

    E-Print Network [OSTI]

    Ma, Kai; Hu, Guoqiang; Spanos, Costas

    2014-01-01

    wind energy conversion systems using extremum seeking,” IEEE Transactions on Control Systems Technology,

  7. NN Controller of the Constrained Robot under Unknown Constraint Shenghai Hu, Marcelo H. Ang Jr.*, and H. Krishnan

    E-Print Network [OSTI]

    Ang Jr.,, Marcelo H.

    the five-bar robot to demonstrate the effectiveness of the proposed controller. 1. Introduction To apply.*, and H. Krishnan Dept of Mechanical and Production Engineering National University of Singapore Singapore

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

    E-Print Network [OSTI]

    Tweddle, Brent Edward

    2013-01-01

    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 ...

  9. Resource Allocation with Unknown Constraints: An Extremum Seeking Control Approach and Applications to Demand Response

    E-Print Network [OSTI]

    Ma, Kai; Hu, Guoqiang; Spanos, Costas

    2014-01-01

    Z. Yang, and Y. Zhang, “Demand response manage- ment withS. H. Low, “Optimal demand response: Problem formulation andYang, and X. Guan, “Optimal demand response scheduling with

  10. An unknown regulator affects cell division and the timing of entry into stationary phase in Escherichia coli 

    E-Print Network [OSTI]

    Bain, Sherrie Valarie

    2005-08-29

    .............................................. 11 2 Primers for amplification and sequencing ............................... 19 3 Hfr mapping strains and results .............................................. 24 4 P1 mapping strains and results... microcentrifuge at 12,000 x g and the supernatant, containing the genomic DNA, was collected and transferred to a different Eppendorf tube. The cpxA gene was amplified in two fragments. The primers used in this study are listed in Table 2. All...

  11. Keywords. Protein interaction; putative integral membrane protein; ribosomal phosphoprotein P0; surface expression; yeast two-Abbreviations used: GST, glutathione-S transferase; IP, immunoprecipitation; ORF, open reading frame; PfP0, Plasmodium falci-

    E-Print Network [OSTI]

    Sharma, Shobhona

    , Homi Bhabha Road, Mumbai 400 005, India Corresponding author (Fax, 91-22-2280-4610; Email, sharma. One of the strongest interactors (clone 67B) mapped to the gene YFL034W which codes for a hypothetical interacted with clone 67B, was mapped to 60­148 amino acids. It is envisaged that the surface localization

  12. Feature selection in high dimensional regression problems for genomics

    E-Print Network [OSTI]

    Paris-Sud XI, Université 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

  13. Knowledge Assisted Visualization A high-dimensional feature clustering approach to support

    E-Print Network [OSTI]

    Mueller, Klaus

    June 2009 Keywords: Feature descriptors Classification Categorization Data indexing a b s t r a c with the appropriate segment of the library storing the expert knowledge. This requires one to detect and recognize the dataset's category at some level of granularity and then use this information as a library index. We

  14. 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

  15. 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

  16. Pervasive Computing at Scale: Transforming the State of the Art Diane J. Cook Sajal K. Das

    E-Print Network [OSTI]

    Cook, Diane J.

    the field can pursue together with challenges it will need to overcome. Keywords: smart environments, energy, beneficial prototype testbeds such as smart homes, body area networks, health monitoring systems, and mobile-scale applications with limited dissemination of the tools, results, and datasets. This year is the 21st anniversary

  17. Elsevier Editorial System(tm) for Ecological Informatics Manuscript Draft

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    : Special Issue: Ecol. Data Management Keywords: Analytic web; Little-JIL; metadata; process; sensor network. Nowhere is this change more evident than in the advent of sensor networks able to collect and process (in and synthesis, including a new standard for descriptive metadata for ecological datasets (Ecological Metadata

  18. 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

  19. Broad-scale environmental response and niche conservatism in lacustrine

    E-Print Network [OSTI]

    components of com- munity variation. Weighted-averaging (WA) regression and calibration, as well as logistic and quadratic regressions, were used to detect niche conservatism and the prevalence of environmental using analogue datasets from large geographic areas. Keywords Analogue technique, diatoms, dispersal

  20. Silvia Trif, Adrian Visoiu / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com

    E-Print Network [OSTI]

    Fernandez, Thomas

    . A key objective is to reduce churn rate among subscribers. The mobile operator needs to know in advance Expression Programming Based Dataset Decoration for Improved Churn Prediction Silvia Trif*, Adrian Visoiu problem. Keywords - business intelligence, churn prediction, classification, data mining, gene expression

  1. Rotation-Robust Math Symbol Recognition and Retrieval Using Outer Contours and Image Subsampling

    E-Print Network [OSTI]

    Zanibbi, Richard

    Rotation-Robust Math Symbol Recognition and Retrieval Using Outer Contours and Image Subsampling the system with original Turning Function on the rotated InftyCDB-3 dataset. Keywords: Machine-Printed Math Symbol Recognition, Content-Based Math Symbol Retrieval 1. INTRODUCTION Recognition of math expression

  2. Determination of Ice Water Path Over the ARM SGP Using Combined Surface and Satellite 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent BondingMeeting |Design CompetitionsFuelofSources fromDetermination

  3. Computational analysis of the ENCODE datasets and other related epigenetic explorations

    E-Print Network [OSTI]

    Gunawardena, Jeremy

    Institute: Encyclopedia of DNA Elements (ENCODE) Nearly 600 collaborating labs post HGP Ved Topkar (Harvard

  4. 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.

  5. HDF5-FastQuery: Accelerating Complex Queries on HDF Datasets...

    Office of Scientific and Technical Information (OSTI)

    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...

  6. Development of Regional Wind Resource and Wind Plant Output Datasets for the Hawaiian Islands

    SciTech Connect (OSTI)

    Manobianco, J.; Alonge, C.; Frank, J.; Brower, M.

    2010-07-01

    In March 2009, AWS Truepower was engaged by the National Renewable Energy Laboratory (NREL) to develop a set of wind resource and plant output data for the Hawaiian Islands. The objective of this project was to expand the methods and techniques employed in the Eastern Wind Integration and Transmission Study (EWITS) to include the state of Hawaii.

  7. Integrative analysis of heterogeneous genomic datasets to discover genetic etiology of autism spectrum disorders

    E-Print Network [OSTI]

    Nazeen, Sumaiya

    2014-01-01

    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 ...

  8. Genetic Architecture of Vitamin B12 and Folate Levels Uncovered Applying Deeply Sequenced Large Datasets

    E-Print Network [OSTI]

    Nielsen, Rasmus

    Genetic Architecture of Vitamin B12 and Folate Levels Uncovered Applying Deeply Sequenced Large architecture of serum levels of vitamin B12 (B12) and folate. Up to 22.9 million sequence variants were

  9. 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

  10. Parallel and Distributed Approach for Processing Large-Scale XML Datasets

    E-Print Network [OSTI]

    Govindaraju, Madhusudhan

    such as Mesoscale meteorol- ogy [2] depend on the orchestration of several workflows, defined in XML format

  11. Simultaneous phase and scatter correction for NMR datasets Bradley Worley, Robert Powers

    E-Print Network [OSTI]

    Powers, Robert

    , dead time between the transmit and receive gating circuits, and delays arising from analog and digital fil- tering can all produce phase errors. After Fourier transformation, these phase errors result

  12. 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.

    2008-10-01

    ) is present in specimens from western Ecuador. DNA sequence variation within 705 base pairs of the cytochrome-b gene from 47 specimens from Florida, Cuba, Jamaica, Mexico, Venezuela, Ecuador, and Paraguay were examined and analyzed using maximum likelihood...

  13. PI: Perceiver and Interpreter of Smart Home Datasets Juan Ye, Graeme Stevenson, Simon Dobson

    E-Print Network [OSTI]

    Dobson, Simon

    with metadata associated with sensors and sensor types; · a uniform programming interface to access, interact' activities during the collection), and metadata of sensors and user activities. Section IV describes sensor technology, software tech- nology, artificial intelligence and human-computer interaction

  14. Building a scalable global data processing pipeline for large astronomical photometric datasets

    E-Print Network [OSTI]

    Doyle, Paul

    2015-01-01

    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...

  15. Bedmap2: improved ice bed, surface and thickness datasets for Antarctica

    E-Print Network [OSTI]

    Fretwell, P.; Pritchard, H. D.; Vaughan, D. G.; Bamber, J. L.; Barrand, N. E.; Bell, R.; Bianchi, C.; Bingham, R. G.; Blankenship, D. D.; Casassa, G.; Catania, G.; Callens, D.; Conway, H.; Cook, A. J.; Corr, H. F. J.; Damaske, D.; Damm, V.; Ferraccioli, F.; Forsberg, R.; Fujita, S.; Gim, Y.; Gogineni, Sivaprasad; Griggs, J. A.; Hindmarsh, R.; Holmlund, P.; Holt, J. W.; Jacobel, R. W.; Jenkins, A.; Jokat, W.; Jordan, T.; King, E. C.; Kohler, J.; Krabill, W.; Riger-Kusk, M.; Langley, K. A.; Leitchenkov, G.; Leuschen, Carl; Lyendyk, B. P.; Matsuoka, K.; Mouginot, J.; Nitsche, F. O.; Nogi, Y.; Nost, O. A.; Popov, S. V.; Rignot, E.; Rippin, D. M.; Rivera, A.; Roberts, J.; Roberts, J.; Ross, N.; Siegert, M. J.; Smith, A. M.; Steinhage, D.; Studinger, M.; Sun, B.; Tinto, B. K.; Welch, B. C.; Wilson, D.; Young, D. A.; Xiangbin, C.; Zirizzotti, A.

    2013-02-28

    We present Bedmap2, a new suite of gridded products describing surface elevation, ice-thickness and the seafloor and subglacial bed elevation of the Antarctic south of 60° S. We derived these products using data from a ...

  16. 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.

    2003-07-01

    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 Energy’s 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 Laboratory’s 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-Calculator’s 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 program’s 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.

  17. SAMNet: a network-based approach to integrate multi-dimensional high throughput datasets

    E-Print Network [OSTI]

    Spencer, Sarah J.

    The rapid development of high throughput biotechnologies has led to an onslaught of data describing genetic perturbations and changes in mRNA and protein levels in the cell. Because each assay provides a one-dimensional ...

  18. A WARM CLOUD MICROPHYSICAL DATASET BASED ON ARM KA-AND W-BAND CLOUD RADARS

    E-Print Network [OSTI]

    /Atmospheric Sciences Division Brookhaven National Laboratory U.S. Department of Energy Office of Science ABSTRACT Associates, LLC under Contract No. DE-AC02- 98CH10886 with the U.S. Department of Energy. The publisher-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript

  19. 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

  20. INTEGRATED ANALYSIS OF EXPERIMENTAL DATASETS REVEALS MANY NOVEL PROMOTERS IN 1% OF THE HUMAN GENOME

    E-Print Network [OSTI]

    Gerstein, Mark

    and requests for materials should be addressed to Richard M. Myers or Zhiping Weng. Presently at SwitchGear

  1. Development of Thermophysical Property Datasets, Benchmark Niyama Results, and A Simulation

    E-Print Network [OSTI]

    Beckermann, Christoph

    , is commonly used to predict shrinkage porosity defects in steel castings. Unfortunately that is a common output of casting simulation software packages, is commonly used to predict shrinkage porosity Engineering The University of Iowa, Iowa City, IA 52242 Abstract Casting simulation results are only useful

  2. Bedmap2: improved ice bed, surface and thickness datasets for Antarctica

    E-Print Network [OSTI]

    2013-01-01

    Surface configuration, ice thick- ness, volume and bedrockconstruction of the ice thick- ness grids. between flightof the physical ice thick- ness, rather than an “ice-

  3. A Distributed, Architecture-Centric Approach to Computing Accurate Recommendations from Very Large and Sparse Datasets

    E-Print Network [OSTI]

    Morozov, Serhiy

    2011-08-31

    that provide one type of recommendation. Their inflexible architectures prevent detailed examination of recommendation accuracy and its causes. We introduce a novel architecture model that supports scalable, distributed suggestions from multiple independent...

  4. Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach

    E-Print Network [OSTI]

    Kumar, Vipin

    . For example, El Nino, the anomalous warming of the eastern tropical region of the Pacific, has been linked

  5. Bedmap2: improved ice bed, surface and thickness datasets for Antarctica

    E-Print Network [OSTI]

    2013-01-01

    In most parts of Antarc- tica the subglacial landscape istopography for Antarc- tica were presented by the BEDMAP

  6. WESTERN U.S. STREAM FLOW METRIC DATASET Providing scientific knowledge and technology to sustain

    E-Print Network [OSTI]

    . These are based on daily simulations of the Variable Infiltration Capacity (VIC) macroscale hydrologic model, hydrologic modeling, variable infiltration capacity (VIC), flow metrics, aquatic communities Flow metrics metric da- taset makes it possible to study the effects of droughts, changes in snow- pack, water

  7. Selling Into the Sun: Price Premium Analysis of a Multi-State Dataset of Solar Homes

    Office of Energy Efficiency and Renewable Energy (EERE)

    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 2002–2013. The results impart confidence that PV consistently adds value across a variety of states, housing and PV markets, and home types.

  8. Kenya Hourly DNI, GHI and Diffuse Solar Data - Datasets - OpenEI...

    Open Energy Info (EERE)

    Kenya Hourly DNI, GHI and Diffuse Solar Data Abstract Each data file is a set of hourly values of solar radiation (DNI, GHI and diffuse) and meteorological elements for a 1-year...

  9. J. Geomag. Geoelectr., 45, 1127-1150, 1993 Decomposition and Modelling of the BC87 Dataset

    E-Print Network [OSTI]

    Jones, Alan G.

    a decade is difficult to interpret without recourse to introduction of a layer with differing electrical be identified and removed, as far as possible, prior to interpretation. A galvanic model of these distortions Mountain Trench (see JONES, 1993). 2. Data The recorded MT data exhibit strong site to site variations

  10. 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

    2014-04-01

    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 experiment’s 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.

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

    E-Print Network [OSTI]

    van Nieuwpoort, Rob V.

    with the massively parallel processing approach described here allows the scientist to reprocess data

  12. 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

  13. A Parallel Statistical Learning Approach to the Prediction of Building Energy Consumption Based on Large Datasets

    E-Print Network [OSTI]

    Paris-Sud XI, Université 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 (SVMs), Prediction, Model, Energy Efficiency, Parallel Computing. 1. INTRODUCTION Building energy

  14. Bedmap2: improved ice bed, surface and thickness datasets for Antarctica

    E-Print Network [OSTI]

    2013-01-01

    Geography, Swansea University, Swansea, UK 11 Federal Institute for Geosciences and Natural Resources,

  15. Index of /datasets/files/41/pub/PUBID8_4536

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 Throttled (bot5 Varnish -57

  16. Index of /datasets/files/41/pub/PUBID8_4538

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 Throttled (bot5 Varnish -57

  17. Index of /datasets/files/41/pub/PUBID8_4540

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 Throttled (bot5 Varnish -57

  18. Index of /datasets/files/41/pub/PUBID8_4543

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 Throttled (bot5 Varnish -57

  19. Index of /datasets/files/41/pub/PUBID8_4544

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 Throttled (bot5 Varnish -57

  20. Index of /datasets/files/41/pub/PUBID8_4546

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 Throttled (bot5 Varnish -57

  1. Index of /datasets/files/41/pub/PUBID8_4548

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 Throttled (bot5 Varnish -57

  2. Index of /datasets/files/41/pub/PUBID8_4549

    Open Energy Info (EERE)

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  3. Index of /datasets/files/41/pub/PUBID8_4551

    Open Energy Info (EERE)

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  4. Index of /datasets/files/41/pub/PUBID8_4553

    Open Energy Info (EERE)

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  5. Index of /datasets/files/41/pub/PUBID8_4554

    Open Energy Info (EERE)

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  6. Index of /datasets/files/41/pub/PUBID8_4555

    Open Energy Info (EERE)

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  7. Index of /datasets/files/41/pub/PUBID8_4556

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 Throttled (bot5 Varnish -57

  8. Index of /datasets/files/41/pub/PUBID8_4557

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 Throttled (bot5 Varnish -57

  9. Index of /datasets/files/41/pub/PUBID8_4559

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 Throttled (bot5 Varnish -57

  10. Index of /datasets/files/41/pub/PUBID8_4561

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 Throttled (bot5 Varnish -57

  11. Index of /datasets/files/41/pub/PUBID8_4562

    Open Energy Info (EERE)

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  12. Index of /datasets/files/41/pub/PUBID8_4563

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 Throttled (bot5 Varnish -57

  13. Index of /datasets/files/41/pub/PUBID8_4564

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 Throttled (bot5 Varnish -57

  14. Index of /datasets/files/41/pub/PUBID8_4565

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 Throttled (bot5 Varnish -57

  15. Index of /datasets/files/41/pub/PUBID8_4566

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 Throttled (bot5 Varnish -57

  16. Index of /datasets/files/41/pub/PUBID8_4567

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 Throttled (bot5 Varnish -57

  17. Index of /datasets/files/41/pub/PUBID8_4568

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 Throttled (bot5 Varnish -57

  18. Index of /datasets/files/41/pub/PUBID8_4569

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 Throttled (bot5 Varnish -57

  19. Index of /datasets/files/41/pub/PUBID8_4570

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 Throttled (bot5 Varnish -57

  20. Index of /datasets/files/41/pub/PUBID8_4571

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 Throttled (bot5 Varnish -57