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Sample records for queries developer google

  1. Evaluation of Internet-Based Dengue Query Data: Google Dengue Trends

    E-Print Network [OSTI]

    Santillana, Mauricio

    Evaluation of Internet-Based Dengue Query Data: Google Dengue Trends Rebecca Tave Gluskin1 intensive and slow. As global Internet use has increased, novel, Internet-based disease monitoring tools the heterogeneity of GDT at smaller spatial scales, assessing its accuracy at the state-level in Mexico

  2. Query

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested PartiesBuildingBudget ||

  3. Plug and Play with Query Algebras: SECONDO A Generic DBMS Development Environment*

    E-Print Network [OSTI]

    Güting, Ralf Hartmut

    -order signa- ture (SOS) [Güt93]. It is reviewed in Section 3. On top of the descriptive algebra level mayPlug and Play with Query Algebras: SECONDO A Generic DBMS Development Environment* Stefan Dieker is provided by the concept of algebra modules defining and implementing new types (type constructors, in fact

  4. Plug and Play with Query Algebras: SECONDO A Generic DBMS Development Environment *

    E-Print Network [OSTI]

    Güting, Ralf Hartmut

    ­order signa­ ture (SOS) [Güt93]. It is reviewed in Section 3. On top of the descriptive algebra level mayPlug and Play with Query Algebras: SECONDO A Generic DBMS Development Environment * Stefan Dieker is provided by the concept of algebra modules defining and implementing new types (type constructors, in fact

  5. Google matrix 1 Google matrix

    E-Print Network [OSTI]

    Shepelyansky, Dima

    Google matrix 1 Google matrix Fig.1. Google matrix of Wikipedia articles network, written in the bases of PageRank index; fragment of top 200 X 200 matrix elements is shown, total size N=3282257 (from [19]) A Google matrix is a particular stochastic matrix that is used by Google's PageRank algorithm

  6. Google matrix 1 Google matrix

    E-Print Network [OSTI]

    Shepelyansky, Dima

    Google matrix 1 Google matrix A Google matrix is a particular stochastic matrix that is used by Google's PageRank algorithm. The matrix represents a graph with edges representing links between pages. The rank of each page can be generated iteratively from the Google matrix using the power method. However

  7. How does Google work? Three aspects

    E-Print Network [OSTI]

    Rydeheard, David

    How does Google work? Three aspects: 1 How does Google know what is on the Web? 2 How does Google search the Web for your query phrase? 3 How does Google decide which results you may be interested in a `page ranking' to help with item (3). #12;How does Google know what is on the Web? Answer is spiders

  8. Google Earth as a geospatial tool for development organisations: mapping climate change vulnerability

    E-Print Network [OSTI]

    Crossley, Janet Ruth

    2008-01-01

    Climate change is an increasingly important issue within the development sector, and yet actors within the sector are still unsure about how it will impact on their activities. Mapping offers a useful tool for presenting ...

  9. Query Suggestions for Mobile Search: Understanding Usage Patterns

    E-Print Network [OSTI]

    Cortes, Corinna

    Inc 1600 Amphitheatre Parkway, Mountain View, CA shumeet@google.com ABSTRACT Entering search terms that users who were asked to enter queries on a search interface with query suggestions rated their workload heavily on suggestions if they are provided. Users who were asked to enter queries on a search interface

  10. 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

  11. HTML-QS: A QUERY SYSTEM FOR HYPERTEXT MARKUP LANGUAGE DOCUMENTS

    E-Print Network [OSTI]

    Hamilton, Howard J.

    information centre consisting of billions of web pages. The Hyper Text Markup Language (HTML) is perhaps developed to search and query HTML web pages. Search engines such as Google can match given keywords on web structure within an HTML web page or can only present the structure at a low level. In this thesis, we

  12. Say What? Why users choose to speak their web queries Maryam Kamvar, Doug Beeferman

    E-Print Network [OSTI]

    Cortes, Corinna

    a higher probability of being typed than shorter queries. Index Terms: speech, voice, search, Google, query of voice web search (where the query is entered by speaking rather than by keyboard) is sparse, most likely on an aggregate level factors that are correlated with a decision to speak a web search query rather than type it

  13. Qunits: queried units in database search

    E-Print Network [OSTI]

    Nandi, Arnab

    2009-01-01

    Keyword search against structured databases has become a popular topic of investigation, since many users find structured queries too hard to express, and enjoy the freedom of a ``Google-like'' query box into which search terms can be entered. Attempts to address this problem face a fundamental dilemma. Database querying is based on the logic of predicate evaluation, with a precisely defined answer set for a given query. On the other hand, in an information retrieval approach, ranked query results have long been accepted as far superior to results based on boolean query evaluation. As a consequence, when keyword queries are attempted against databases, relatively ad-hoc ranking mechanisms are invented (if ranking is used at all), and there is little leverage from the large body of IR literature regarding how to rank query results. Our proposal is to create a clear separation between ranking and database querying. This divides the problem into two parts, and allows us to address these separately. The first tas...

  14. GOOGLE EARTH QUICK GUIDE (1)Google Earth Features

    E-Print Network [OSTI]

    Smith-Konter, Bridget

    GOOGLE EARTH QUICK GUIDE (1)Google Earth Features The Google Earth of the Google Earth window. Often when opening up the Google Earth program, the view screen will be a view of the entire Earth from space. Navigation bar

  15. Privacy-preserving Queries over Relational Databases Femi Olumofin

    E-Print Network [OSTI]

    Goldberg, Ian

    . While today's most developed and deployed privacy tech- niques, such as onion routers and mix networks' queries. For the front running example, the user could tunnel the query through Tor [17] to preserve

  16. Multiple Query Probabilistic Roadmap Planning using Single Query Planning Primitives

    E-Print Network [OSTI]

    Chen, Brian Y.

    Multiple Query Probabilistic Roadmap Planning using Single Query Planning Primitives Kostas E query planners. Our implementation uses a probabilistic roadmap method (PRM) with bidirec- tional the strengths of both is obtained. The probabilistic roadmap method (PRM) approach to motion planning

  17. High-efficiency power supplies for home computers and servers Google Inc. ~ September 2006

    E-Print Network [OSTI]

    Cortes, Corinna

    ________________________________________________________________________ High-efficiency power supplies for home computers and servers Google Inc. ~ September 2006 p. 1 High-efficiency power supplies queries, so energy conservation and efficiency are important to us. For several years we've been

  18. Query Optimization Techniques Class Hierarchies

    E-Print Network [OSTI]

    Mannheim, Universitt

    Query Optimization Techniques Exploiting Class Hierarchies Sophie Cluet 1 Guido Moerkotte 2 1 INRIA Since the introduction of object base management systems (OBMS), many query optimization techniques tailored for object query languages have been proposed. They adapt known optimization techniques

  19. A Query Simulation System To Illustrate Database Query Execution

    E-Print Network [OSTI]

    Wagner, Paul J.

    the steps a DBMS performs during query execution. Database students need to be familiar with the underlying query execution process in order to understand how the DBMS implements commits and rollbacks. The query execution process also impacts query optimization techniques, and provides the foundation for how the DBMS

  20. SPARQL Query Form | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/ColoradoRemsenburg-Speonk, NewMichigan:Roxbury,RushS.KSPARQL Query Form Default Graph URI

  1. Google as a bookmarking tool

    E-Print Network [OSTI]

    Jazayeri, Ryan, 1981-

    2004-01-01

    In this thesis, a scheme is presented that harnesses the power of Google to locate previously visited webpages. Instead of bookmarking webpages by their URL, this process is based on addressing pages by their Google URL, ...

  2. Modeling and Querying Video Databases \\Lambda Cyril Decleir

    E-Print Network [OSTI]

    Baader, Franz

    Modeling and Querying Video Databases \\Lambda Cyril Decleir LISI­INSA Lyon, B??atiment 501 F­69621 database point of view, video data presents an interesting challenge in the development of data models is essential for providing content based access. This paper develops a data model and a rule­based query

  3. Metadata Challenge for Query Processing Over Heterogeneous Wireless Sensor Network

    E-Print Network [OSTI]

    Komalavalli, C

    2011-01-01

    Wireless sensor networks become integral part of our life. These networks can be used for monitoring the data in various domain due to their flexibility and functionality. Query processing and optimization in the WSN is a very challenging task because of their energy and memory constraint. In this paper, first our focus is to review the different approaches that have significant impacts on the development of query processing techniques for WSN. Finally, we aim to illustrate the existing approach in popular query processing engines with future research challenges in query optimization.

  4. Multiple Query Probabilistic Roadmap Planning using Single Query Planning Primitives

    E-Print Network [OSTI]

    Kavraki, Lydia E.

    Multiple Query Probabilistic Roadmap Planning using Single Query Planning Primitives Kostas E query planners. Our implementation uses a probabilistic roadmap method PRM with bidirectional rapidly which uses the strengths of both is obtained. The probabilistic roadmap method (PRM) approach to motion

  5. 2015.6-Google Scholar [] Google Scholar Scholar

    E-Print Network [OSTI]

    Goda, Keisuke

    Google Scholar OKhttp://www.dl.itc.u-tokyo.ac.jp/gacos/index.html TREE Google Scholar GACoWorks UTokyo Article Link , RefWorks GACoS FAQRefWorks http://www.dl.itc.u-tokyo.ac.jp/gacos/faq/refw.html-VPN Gateway or GW http://www.dl.itc.u-tokyo.ac.jp/gacos/faq/gakugai.html PubMed GACoS P http

  6. Reflections for quantum query algorithms

    E-Print Network [OSTI]

    Ben W. Reichardt

    2010-05-10

    We show that any boolean function can be evaluated optimally by a quantum query algorithm that alternates a certain fixed, input-independent reflection with a second reflection that coherently queries the input string. Originally introduced for solving the unstructured search problem, this two-reflections structure is therefore a universal feature of quantum algorithms. Our proof goes via the general adversary bound, a semi-definite program (SDP) that lower-bounds the quantum query complexity of a function. By a quantum algorithm for evaluating span programs, this lower bound is known to be tight up to a sub-logarithmic factor. The extra factor comes from converting a continuous-time query algorithm into a discrete-query algorithm. We give a direct and simplified quantum algorithm based on the dual SDP, with a bounded-error query complexity that matches the general adversary bound. Therefore, the general adversary lower bound is tight; it is in fact an SDP for quantum query complexity. This implies that the quantum query complexity of the composition f(g,...,g) of two boolean functions f and g matches the product of the query complexities of f and g, without a logarithmic factor for error reduction. It further shows that span programs are equivalent to quantum query algorithms.

  7. ask queries | 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) JumpZhuyuanWindeyZibo BaoyunZoukask queries Home

  8. Google | 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 E LISTStar2-0057-EA Jump to:ofEniaElectric JumpAtlasBridgeInformationGoogle Home

  9. Query | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy AEnergyPresidentialThis 3-D rendering of apumpthe firstEnergyQuery

  10. Continuous Query Processing in Data Streams Using Duality of Data and Queries

    E-Print Network [OSTI]

    Song, Il-Yeol

    Continuous Query Processing in Data Streams Using Duality of Data and Queries Hyo-Sang Lim, Jae and query-initiative methods only for ad-hoc queries. We contend that continuous query processing can. In this paper, we first present a new viewpoint of transforming the continuous query processing problem

  11. Deploying Google Search by Voice in Cantonese Yun-Hsuan Sung, Martin Jansche, Pedro J. Moreno

    E-Print Network [OSTI]

    Cortes, Corinna

    was launched in December 2010. Index Terms: voice search, Cantonese speech recognition, mul- tilingual speech to speak search queries instead of entering Chinese characters on mobile devices. We believe ourDeploying Google Search by Voice in Cantonese Yun-Hsuan Sung, Martin Jansche, Pedro J. Moreno

  12. NREL: Energy Systems Integration - Google

    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 on771/6/14RecentGeospatial Analysis ToIsothermalEnergyEventsGoogle

  13. OpenEI Community - Google

    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 Jump to:InformationInformationOorjaen TheGeothermal NEPA WorkshopIdeas

  14. Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets

    E-Print Network [OSTI]

    Toronto, University of

    .g., query responses or behavioral observations). The most natural criterion for choosing queries is expected

  15. HDF5-FastQuery: An API for Simplifying Access to Data Storage,Retrieval, Indexing and Querying

    SciTech Connect (OSTI)

    Bethel, E. Wes; Gosink, Luke; Shalf, John; Stockinger, Kurt; Wu,Kesheng

    2006-06-15

    This work focuses on research and development activities that bridge a gap between fundamental data management technology index, query, storage and retrieval and use of such technology in computational and computer science algorithms and applications. The work has resulted in a streamlined applications programming interface (API) that simplifies data storage and retrieval using the HDF5 data I/O library, and eases use of the FastBit compressed bitmap indexing software for data indexing/querying. The API, which we call HDF5-FastQuery, will have broad applications in domain sciences as well as associated data analysis and visualization applications.

  16. Top-N Query: Query Language, Distance Function and Processing Strategies

    E-Print Network [OSTI]

    Meng, Weiyi

    Top-N Query: Query Language, Distance Function and Processing Strategies Yuxi Chen, Weiyi Meng@cs.binghamton.edu Abstract. The top-N query problem is to find the N results that satisfy the query condition the best and products are sold on the Internet. This paper addresses three important issues related to the top-N query

  17. Failure Analysis in Query Construction: Data and Analysis from A Large Sample of Web Queries

    E-Print Network [OSTI]

    Saracevic, Tefko

    are on its Web site. Excite searchesare basedon the exact terms that a user enters in the query, however query construction) of 51,473 queries from 18,113 users of Excite, a major Web search engine. Given of the traditional search engine interfaces. KEYWORDS: Web queries, query construction INTRODUCTION Many digital

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

    E-Print Network [OSTI]

    Ilyas, Ihab Francis

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

  19. Google matrix analysis of directed networks

    E-Print Network [OSTI]

    Leonardo Ermann; Klaus M. Frahm; Dima L. Shepelyansky

    2015-06-19

    In past ten years, modern societies developed enormous communication and social networks. Their classification and information retrieval processing become a formidable task for the society. Due to the rapid growth of World Wide Web, social and communication networks, new mathematical methods have been invented to characterize the properties of these networks on a more detailed and precise level. Various search engines are essentially using such methods. It is highly important to develop new tools to classify and rank enormous amount of network information in a way adapted to internal network structures and characteristics. This review describes the Google matrix analysis of directed complex networks demonstrating its efficiency on various examples including World Wide Web, Wikipedia, software architecture, world trade, social and citation networks, brain neural networks, DNA sequences and Ulam networks. The analytical and numerical matrix methods used in this analysis originate from the fields of Markov chains, quantum chaos and Random Matrix theory.

  20. Google Archives by Fiscal Year Solar

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Solar Energy Technologies Office, retired Google Analytics profiles for the sites by fiscal year.

  1. Google Archives by Fiscal Year FEMP

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Federal Energy Management Program, retired Google Analytics profiles for the sites by fiscal year.

  2. Google Archives by Fiscal Year Energy Saver

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Corporate sites, retired Google Analytics profiles for the Energy Saver sites by fiscal year.

  3. Google Archives by Fiscal Year Buildings

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Building Technologies Office, retired Google Analytics profiles for the sites by fiscal year.

  4. Asymmetric Structure-Preserving Subgraph Queries for Large Graphs

    E-Print Network [OSTI]

    Xu, Jianliang

    is subgraph isomorphism queries (a.k.a subgraph queries). Due to the computational hardness of subgraph queries that preserve the query structure (a.k.a topology) over large networks has not yet been studied

  5. Text Queries on Document Time Series

    E-Print Network [OSTI]

    Baeza-Yates, Ricardo

    Retrieved for Query "iraq war" #12;Smoothed Timeline for "iraq war" #12;Temporal Models Goal: Estimate;Documents Retrieved for Query "iraq war" #12;Weighted by Document Relevance #12;Smoothed with Background

  6. The Google Library Project Hal R. Varian

    E-Print Network [OSTI]

    Varian, Hal R.

    . It is important to distinguish the copyright status of the various types of content in the Google Library ProjectThe Google Library Project Hal R. Varian January 2006 Revised: February 10, 2006 Abstract This is an economic analysis of the Google Library project. I describe the project and outline why it is consistent

  7. Assisting Web Search Using Query Suggestion Based on Word Similarity Measure and Query Modification

    E-Print Network [OSTI]

    Ng, Yiu-Kai Dennis

    . For example, when the word "Tiger" is entered by a user, current web search engines are mostly focusedAssisting Web Search Using Query Suggestion Based on Word Similarity Measure and Query Modification search engines is query suggestion (QS), which assists users in formulating keyword queries by suggesting

  8. Demand Queries with Preprocessing Uriel Feige

    E-Print Network [OSTI]

    Demand Queries with Preprocessing Uriel Feige and Shlomo Jozeph May 1, 2014 )>IJH=?J Given a set of items and a submodular set-function f that determines the value of every subset of items, a demand query, the value of S minus its price. The use of demand queries is well motivated in the context of com

  9. Scalable Continuous Query Processing by Tracking Hotspots

    E-Print Network [OSTI]

    Yang, Jun

    Scalable Continuous Query Processing by Tracking Hotspots Pankaj K. Agarwal Junyi Xie Jun Yang Hai}@cs.duke.edu ABSTRACT This paper considers the problem of scalably processing a large number of continuous queries. We for intervals in linear time. 1. INTRODUCTION Continuous query processing has attracted much interest

  10. Google Archives by Fiscal Year Geothermal

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Geothermal Technologies Office, retired Google Analytics profiles for the Geothermal Technologies Blog for FY12-FY13.

  11. Google Archives by Fiscal Year Mobile Site

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Corporate sites, retired Google Analytics profile for the Mobile site for fiscal year 2012-13.

  12. Google Archives by Fiscal Year Earth Day

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Corporate sites, retired Google Analytics profiles for the Earth Day site for fiscal year 2012-13.

  13. Google Archives by Fiscal Year ERAC

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Corporate sites, retired Google Analytics profile for the Efficiency and Renewables Advisory Committee site for fiscal year 2012-13.

  14. Google Archives by Fiscal Year WIP

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Weatherization and Intergovernmental Program Office, retired Google Analytics profiles for the Technical Assistance Program Blog FY12-FY13.

  15. Google Archives by Fiscal Year Information Center

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Corporate sites, retired Google Analytics profiles for the Information Center site for fiscal year 2012.

  16. Google Archives by Fiscal Year Multimedia Site

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Corporate sites, retired Google Analytics profile for the Multimedia site for fiscal years 2012-14.

  17. Google Archives by Fiscal Year Kids Site

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Corporate sites, retired Google Analytics profile for the Kids site for fiscal year 2012-13.

  18. Adding STARFire Analysis Layers to Google Earth through a KML Network Link 1) Launch Google Earth

    E-Print Network [OSTI]

    Adding STARFire Analysis Layers to Google Earth through a KML Network Link 1) Launch Google Earth 2) The network link will be added in the Places control within Google Earth. Select the node level in the tree layers for viewing within Google Earth. Double clicking on a layer will zoom you to the extent

  19. Continuous Pipelines at Google Dan Dennison

    E-Print Network [OSTI]

    Cortes, Corinna

    Continuous Pipelines at Google Dan Dennison dennison@google.com 12 May 2015 Table of Contents Abstract for SREcon Europe 2015 Abstract Origin of the Pipeline Design Pattern Initial Effect of Big Data on the Simple Pipeline Pattern Challenges to the Periodic Pipeline Pattern Trouble Caused

  20. Moving dunes on the Google Earth

    E-Print Network [OSTI]

    Sparavigna, Amelia Carolina

    2013-01-01

    Several methods exist for surveying the dunes and estimate their migration rate. Among methods suitable for the macroscopic scale, the use of the satellite images available on Google Earth is a convenient resource, in particular because of its time series. Some examples of the use of this feature of Google Earth are here proposed.

  1. CoastWatch Data in Google Earth

    E-Print Network [OSTI]

    CoastWatch Data in Google Earth: A How-to Guide Peter Hollemans, Terrenus Earth Sciences Consultant for NOAA/NESDIS CoastWatch Operations Managers Meeting, June, 2007 #12;Peter Hollemans, Terrenus Earth Sciences Consultant for NOAA/NESDISJune, 2007 Talk Outline About Google Earth Preparing Data

  2. IN-SPIRE: Creating a Visualization from a Google Search

    ScienceCinema (OSTI)

    None

    2012-12-31

    IN-SPIRE can harvest web pages from a Google search using the main site, Google News, or Google Scholar.

  3. Google Archives by Fiscal Year AMO

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Advanced Manufacturing Office, retired Google Analytics profiles for the Advanced Manufacturing subsites FY12 and the Energy Intensive Processes site FY12-FY13.

  4. A Visual Category Filter Google Images , Zisserman

    E-Print Network [OSTI]

    Zisserman, Andrew

    image returned Google's image search a number object categories including bottles, camels, cars, horses a contaminated training a minimal amount supervi sion. therefore method Fergus [10], extending it allow

  5. University of Portland Google Vernier Software + Technology...

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

    sponsors for their support of the bpa science bowl University of Portland Google Vernier Software + Technology Schweitzer Engineering Laboratories B O N N E V I L L E P O W E R A...

  6. Google Archives by Fiscal Year Vehicles

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Vehicle Technologies Office, retired Google Analytics profiles for the AFDC Ethanol FY12 and the Directions in Engine-Efficiency and Emissions Research Conference FY12-FY14 sites.

  7. Find Your STEM Role Model: Google+ Hangout

    Broader source: Energy.gov [DOE]

    NASA and the Energy Department are teaming up on Wednesday, March 5, 2014 at 1pm EST to host a Google+ Hangout, showcasing women in STEM at NASA and Energy

  8. Building Software Systems at Google and Lessons Learned

    E-Print Network [OSTI]

    Cortes, Corinna

    ­partitioned ("sharded") by docid ­index shards are replicated for capacity ­cost is O(# queries * # docs ­partitioned ("sharded") by docid ­index shards are replicated for capacity ­cost is O(# queries * # docs of billions · queries processed/day: · per doc info in index: · update latency: months to tens of secs · avg

  9. D. Florescu , J. Freire 1SBBD 2000 -Querying the Web Querying the Web

    E-Print Network [OSTI]

    Freire, Juliana

    D. Florescu , J. Freire 1SBBD 2000 - Querying the Web Querying the Web Daniela Florescu INRIA 2000 - Querying the Web The Web - some history x 1989 First Web browser x 1993 Mosaic is released, there are 50 Web sites x 1994 First search engines (WWWW, WebCrawler) x 1996 US$1 billion spent in Internet

  10. The Query Complexity of Correlated Equilibria

    E-Print Network [OSTI]

    Hart, Sergiu

    The Query Complexity of Correlated Equilibria Sergiu Hart September 2015 SERGIU HART c 2015 p. #12;The Query Complexity of Correlated Equilibria Sergiu Hart Center for the Study of Rationality Dept of Mathematics Dept of Economics The Hebrew University of Jerusalem hart@huji.ac.il http://www.ma.huji.ac.il/hart

  11. Google Analytics | 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 E LISTStar2-0057-EA Jump to:ofEniaElectric JumpAtlasBridgeInformation PlcOpenGoogle

  12. Google Drive for Work | Department of Energy

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

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

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

    E-Print Network [OSTI]

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

  14. Fault Tolerant Evaluation of Continuous Selection Queries over Sensor Data

    E-Print Network [OSTI]

    Lazaridis, Iosif; Han, Qi; Mehrotra, Sharad; Venkatasubramanian, Nalini

    2009-01-01

    Evaluation of Continuous Selection Queries over Sensor Dataevaluation of continuous selection queries (CSQs) over sensor-sensor suffices and there is no Fault Tolerant Evaluation of

  15. T-703: Cisco Unified Communications Manager Open Query Interface...

    Energy Savers [EERE]

    Cisco Unified Communications Manager Open Query Interface Lets Remote Users Obtain Database Contents T-703: Cisco Unified Communications Manager Open Query Interface Lets Remote...

  16. Integrating Customized Geographical Data Into Google Earth

    E-Print Network [OSTI]

    Hu, Chenwei

    2011-11-24

    to download these files and then visualize their data in Google Earth. Various languages and programmes were used in this project, including Oracle RDBMS, SQL, Perl, HTML and KML. The Web-based tool provides users with limited GIS knowledge the ability to use...

  17. , Web . Web Google[1] CLEVER[2] ,

    E-Print Network [OSTI]

    Shirai, Kiyoaki

    Web 1 , Web , Web , Web . Web , Web , Web . , , . , , , . , , 1 . , . , 1 , . , , Web . , , . Web . Google[1] CLEVER[2] , . , 1 , [3]. , . Amitay , HTML , . , , [4]. , Web . , [5]. , HTML Amitay . , , , 1: Web . 2 , Web . , , 200 . , . , 10 . , . , 1 . , . , . 2.1 1: Web 14 7 386 296 27.6 42.3 #12

  18. Using Google Earth for Internet GIS

    E-Print Network [OSTI]

    Henry, Andrew

    2009-11-26

    The goal of this research is to investigate the potential of using Google Earth for Internet GIS applications. The study specifically examines the use of vector and attribute data and the potential of displaying and processing this data in new ways...

  19. May 2009 Page 1 Google General Searching

    E-Print Network [OSTI]

    California at San Diego, University of

    more to open Alerts. Type or copy search terms (use keywords or any of these tips) and set options domain such as .gov, .edu, or from a specific website, e.g., on the Adv Search form, enter cdc.gov or useTips May 2009 Page 1 Google General Searching Tip #1: Phrase: Use quotation marks to keep words

  20. Digging into Google Earth: An analysis of Crisis in Darfur

    E-Print Network [OSTI]

    Parks, L

    2015-01-01

    Barlow, K. , 2005. Google Earth Prompts Security Fears.Blair, D. , 2007. Google Earth Maps Genocide in Darfur.Butler, D. , 2007. Google Earth Focuses on Sudan Atrocities.

  1. PET: Reducing Database Energy Cost via Query Optimization

    E-Print Network [OSTI]

    Tu, Yicheng

    PET: Reducing Database Energy Cost via Query Optimization Zichen Xu The Ohio State University xuz a cost-based query optimizer that eval- uates query plans by both performance and energy costs. By fol can achieve a good understanding of the energy- related query optimization and cost-based plan

  2. Processing Top N and Bottom N Queries Michael J. Carey

    E-Print Network [OSTI]

    Kemper, Alfons

    DBMS, which does not have built-in support for top N and bottom N queries, will end up wasting work.e., one without integrated support for top N and bottom N queries, would end up wasting work. We then show goal is to evaluate such queries with as little wasted work as possible. That is, if a query asks

  3. Expressiveness Issues and Decision Problems for Active Database Event Queries

    E-Print Network [OSTI]

    Mikulas, Szabolcs

    query (specified using the event algebra) over a history of all previously occurring primitive events. 1 will use the terms complex event detection and (complex) event query evaluation over a history synonymously classes of event queries. For example, the histories over which event queries may be evaluated can be very

  4. Optimizing Energy-Efficient Query Processing in Wireless Sensor Networks

    E-Print Network [OSTI]

    Lee, Wang-Chien

    , to collect metadata from sensor nodes to the query optimizer (i.e. the AP) requires an energy overhead1 Optimizing Energy-Efficient Query Processing in Wireless Sensor Networks Ross Rosemark Wang of energy-efficient query optimization for wireless sensor networks. Different from existing query

  5. Exploring Reductions for Long Web Queries Niranjan Balasubramanian

    E-Print Network [OSTI]

    Murphy, Robert F.

    Exploring Reductions for Long Web Queries Niranjan Balasubramanian University of Massachusetts queries form a difficult, but increasingly important seg- ment for web search engines. Query reduction on TREC collections. Also, it has great potential for improving long web queries (upto 25% improvement

  6. Classifying Web Search Queries to Identify High Revenue Generating Customers

    E-Print Network [OSTI]

    Jansen, James

    searching, the set of terms for which a user searches is called the query. If a user enters a query and then clicks on a result, these query terms are embedded within the URL that is passed from the search engineClassifying Web Search Queries to Identify High Revenue Generating Customers Adan Ortiz-Cordova 329

  7. Privacy-preserving Queries over Relational Databases

    E-Print Network [OSTI]

    Goldberg, Ian

    techniques, such as onion routers and mix networks, offer anonymizing protection for users' identities the query through Tor [12] to preserve the privacy of his or her network address. Nevertheless, the server

  8. Uniform Quantifier Elimination and Constraint Query Processing

    E-Print Network [OSTI]

    2015-08-29

    tics. However, this is not always the case. Consider the. query,. Q= (9T1):R(T1): Clearly, the natural and active domain semantics give dif-. ferent interpretation to

  9. Developer | 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 ECoopButtePower VenturesInformation9)ask queries Type Term TitleDeveloperDeveloper

  10. Developer | 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 ECoopButtePower VenturesInformation9)ask queries TypeDeveloper header Developer Home

  11. Developer | 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 ECoopButtePower VenturesInformation9)ask queries TypeDeveloper header Developer

  12. Google maps | 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 E LISTStar2-0057-EA Jump to:ofEniaElectric JumpAtlasBridgeInformation

  13. Widget:Google Gadget | 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 aDisqusHelper JumpFlashDetectGasMapGoalMeter

  14. google hangout | 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 efficiency Homegeospatial Homegoogle

  15. OpenEI Community - Google Analytics

    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 Jump to:InformationInformationOorjaen TheGeothermal NEPA WorkshopIdeasen

  16. OpenEI Community - Google maps

    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 Jump to:InformationInformationOorjaen TheGeothermal NEPA WorkshopIdeasen

  17. OpenEI Community - google hangout

    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 enBig

  18. Query Plans for Conventional and Temporal Queries Involving Duplicates and Ordering

    E-Print Network [OSTI]

    Snodgrass, Richard T.

    substantially from built- in temporal support in the DBMS. To achieve this, temporal query representation for providing temporal support both via a stand-alone temporal DBMS and via a layer on top of a conventional DBMS. By capturing duplicate removal and retention and order preservation for all queries, as well

  19. Failure Analysis in Query Construction: Data and Analysis from A Large Sample of Web Queries

    E-Print Network [OSTI]

    Jansen, James

    more details are on its Web site. Excite searches are based on the exact terms that a user enters in the query, however, capitalization is disregarded. Stemming is not available. Multiple term searches return,473 queries from 18,113 users of Excite, a major Web search engine. Given that many digital libraries

  20. TreeQ-VISTA: An Interactive Tree Visualization Tool with Functional Annotation Query Capabilities

    E-Print Network [OSTI]

    2007-01-01

    for users with or without SQL knowledge. The query resultspowerful and user-friendly SQL query interface that extractsof constructing complex SQL queries that flat file storage

  1. Example Queries | 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 SECTIONRobertsdale, AlabamaETEC GmbH JumpEllenville,PowerEvaporative Coolers Jumpin

  2. Complex Queries | 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 EnergyLawler,Coal TechnologiesClioCommunityLtd JumpAntasCompareCompiling

  3. Developer | 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 ECoopButtePower VenturesInformation9)ask queries Type Term Title AuthorDeveloper

  4. Developer | 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 ECoopButtePower VenturesInformation9)ask queries Type Term Title AuthorDeveloperDOE

  5. Developer | 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 ECoopButtePower VenturesInformation9)ask queries Type Term TitleDeveloper header

  6. Developer | 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 ECoopButtePower VenturesInformation9)ask queries Type Term TitleDeveloper

  7. Developer | 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 ECoopButtePower VenturesInformation9)ask queries Type TermGapminderDeveloper header

  8. Developer | 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 ECoopButtePower VenturesInformation9)ask queries Type TermGapminderDeveloper

  9. Google official suggests science, engineering advances vital...

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

    to produce electricity. "I really think we should think globally as to how to get economic development in regions that don't have access to energy the way we do," said...

  10. SINA: Scalable Incremental Processing of Continuous Queries in Spatiotemporal Databases

    E-Print Network [OSTI]

    Kaiserslautern, Universitt

    SINA: Scalable Incremental Processing of Continuous Queries in Spatiotemporal Databases Mohamed F F. Mokbel, Xiaopeng Xiong, Walid G. Aref ()SINA: Scalable Incremental Processing of Continuous, Xiaopeng Xiong, Walid G. Aref ()SINA: Scalable Incremental Processing of Continuous Queries

  11. Answering queries using materialized views with minimum size

    E-Print Network [OSTI]

    Chirkova, R; Li, C; Li, J

    2006-01-01

    Mehrotra. Execut- u u s ing SQL over encrypted data in theUrata. Answering complex SQL queries using automatic summaryconsider select-project-join SQL queries and their unions.

  12. Query-based database policy assurance using semantic web technologies

    E-Print Network [OSTI]

    Soltren, Jos Hiram

    2009-01-01

    In this thesis, we present a novel approach to database security which looks at queries instead of the database tables themselves. In doing so, we use a number of Semantic Web technologies to define rules, translate queries, ...

  13. Query Languages and Tools for XML Documents and Databases

    E-Print Network [OSTI]

    Miller, John A.

    review the evolution of query languages starting in 1974 with SEQUEL and leading to today's SQL3 and OQLv.2 as well as emerging languages based on XML. Figure (1) depicts this evolution of query languages of the the object­oriented DBMS (OODBMS). The current OQL (Object Query Language, v.2) [Cattell et al., 1997] as we

  14. Multi-Objective Query Processing for Data Aggregation

    E-Print Network [OSTI]

    Kambhampati, Subbarao

    data sources all export fragments of a single relation. Given a query, the primary query processing integrate information sources available on the Internet. Data integration systems [13], [21], [22], [28], [31] provide a uniform interface to a multitude of information sources, query the relevant sources

  15. Multi-Objective Query Processing for Data Aggregation

    E-Print Network [OSTI]

    Kambhampati, Subbarao

    data sources all export fragments of a single relation. Given a query, the primary query processing of structured information sources on the web has recently led to significant interest in query processing frameworks that can integrate information sources available on the Internet. Data integration systems [13

  16. Dismantling Complicated Query Attributes with Crowd Matan Laadan

    E-Print Network [OSTI]

    Milo, Tova

    Dismantling Complicated Query Attributes with Crowd Matan Laadan Tel Aviv University Tel Aviv the crowd to dismantle the query attributes into finer related ones (whose value estimation is easier beneficial not to only disman- tle the query attributes themselves, but rather to continue dismantling newly

  17. Private Database Queries Using Somewhat Homomorphic Craig Gentry

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    Private Database Queries Using Somewhat Homomorphic Encryption Dan Boneh Craig Gentry Shai Halevi Frank Wang David J. Wu Abstract In a private database query system, a client issues queries to a database and obtains the results with- out learning anything else about the database and without the server

  18. Querying RDF Data from a Graph Database Perspective

    E-Print Network [OSTI]

    Baeza-Yates, Ricardo

    }@dcc.uchile.cl Agenda Motivations, Problem and Proposal Database Models Graph Database Models RDF as data model of data model with inherent graph structure. Database models and query languages should support its that a query language for RDF should provide. Database Models Data structures Operators and Query Language

  19. Document Representation and Query Expansion Models for Blog Recommendation

    E-Print Network [OSTI]

    Callan, Jamie

    Document Representation and Query Expansion Models for Blog Recommendation Jaime Arguello document representation models and two query expansion models for the task of recommend- ing blogs to a user in response to a query. Blog relevance ranking differs from traditional document ranking in ad

  20. Incorporating Seasonality into Search Suggestions Derived from Intranet Query Logs

    E-Print Network [OSTI]

    Kruschwitz, Udo

    Incorporating Seasonality into Search Suggestions Derived from Intranet Query Logs Stephen Dignum performed on query logs collected for major Web search engines, query log analysis to enhance search search engine can be enhanced by adapting the search system to real users' search behaviour through

  1. A Simple Model for Classifying Web Queries by User Intent

    E-Print Network [OSTI]

    Rosso, Paolo

    Valncia, Spain 3 NLE Lab.- ELiRF, Universitat Politcnica de Valncia, Spain 4 PRHLT, Universitat query classification, User intent, Query analysis 1 Introduction Web Search Engines (WSEs) are the most in an interaction with a Web Search Engine. Query Classification based on user intent is different from traditional

  2. Roadmap Query for Sensor Network Assisted Navigation in Dynamic Environments

    E-Print Network [OSTI]

    Lu, Chenyang

    Roadmap Query for Sensor Network Assisted Navigation in Dynamic Environments Sangeeta Bhattacharya approach that integrates a roadmap based navigation algorithm with a novel WSN query protocol called Roadmap Query (RQ). RQ enables collection of frequent, up-to- date information about the surrounding

  3. Structured Annotations of Web Queries Nikos Sarkas

    E-Print Network [OSTI]

    California at Berkeley, University of

    nsarkas@cs.toronto.edu Stelios Paparizos Microsoft Research Mountain View, CA, USA steliosp@microsoft.com Panayiotis Tsaparas Microsoft Research Mountain View, CA, USA panats@microsoft.com ABSTRACT Queries asked advantage and that copies bear this notice and the full citation on the first page. To copy otherwise

  4. The Temporal Query Language TQuel Richard Snodgrass

    E-Print Network [OSTI]

    Snodgrass, Richard T.

    gives the complete syntax of the TQuel retrieve statement. 2. QUERY LANGUAGES FOR HISTORI- CAL DATABASES solely by the application pr+ grams; the DBMS interprets dates as values in the basedata types's medical history is particularly important. The model supported by TOD (for Time Oriented Data bank

  5. Incremental Aggregation on Multiple Continuous Queries

    E-Print Network [OSTI]

    Carbonell, Jaime

    atop of a DBMS. The evaluation study shows that our approaches are effective and efficient on typical updated upon data changes without revisiting the entire history of grouping elements; while other-defined ones. The system also supports holistic functions by reaggregating the stream history. Consider a query

  6. Answering Historical Queries in Databases using Relevance

    E-Print Network [OSTI]

    Bertossi, Leopoldo

    consider the problem of answering queries about the evolution of the database along a sequence Reiter's proposal [14, 16] to specify the database evolution in the situation calculus, a first.e. in the whole evolution of the database, that a given property holds''? or ``Has a given property been true

  7. Representing and Querying Data Transformations Yannis Velegrakis

    E-Print Network [OSTI]

    Velegrakis, Yannis

    - known sources such as government organizations, research institutes or private companies may be well to their query. In systems where information from multiple sources is used, such knowledge may assist of Toronto, Canada jm@cs.toronto.edu Abstract Modern information systems often store data that has been

  8. Matrix Completion with Queries Natali Ruchansky

    E-Print Network [OSTI]

    Crovella, Mark

    Matrix Completion with Queries Natali Ruchansky Boston University natalir@cs.bu.edu Mark Crovella applications, e.g., recommender systems and traffic monitoring, the data comes in the form of a matrix that is only partially observed and low rank. A fundamental data- analysis task for these datasets is matrix

  9. QCS: a system for querying, clustering and summarizing documents.

    SciTech Connect (OSTI)

    Dunlavy, Daniel M.; Schlesinger, Judith D. (Center for Computing Sciences, Bowie, MD); O'Leary, Dianne P. (University of Maryland, College Park, MD); Conroy, John M. (Center for Computing Sciences, Bowie, MD)

    2006-10-01

    Information retrieval systems consist of many complicated components. Research and development of such systems is often hampered by the difficulty in evaluating how each particular component would behave across multiple systems. We present a novel hybrid information retrieval system--the Query, Cluster, Summarize (QCS) system--which is portable, modular, and permits experimentation with different instantiations of each of the constituent text analysis components. Most importantly, the combination of the three types of components in the QCS design improves retrievals by providing users more focused information organized by topic. We demonstrate the improved performance by a series of experiments using standard test sets from the Document Understanding Conferences (DUC) along with the best known automatic metric for summarization system evaluation, ROUGE. Although the DUC data and evaluations were originally designed to test multidocument summarization, we developed a framework to extend it to the task of evaluation for each of the three components: query, clustering, and summarization. Under this framework, we then demonstrate that the QCS system (end-to-end) achieves performance as good as or better than the best summarization engines. Given a query, QCS retrieves relevant documents, separates the retrieved documents into topic clusters, and creates a single summary for each cluster. In the current implementation, Latent Semantic Indexing is used for retrieval, generalized spherical k-means is used for the document clustering, and a method coupling sentence 'trimming', and a hidden Markov model, followed by a pivoted QR decomposition, is used to create a single extract summary for each cluster. The user interface is designed to provide access to detailed information in a compact and useful format. Our system demonstrates the feasibility of assembling an effective IR system from existing software libraries, the usefulness of the modularity of the design, and the value of this particular combination of modules.

  10. Power-law correlations in finance-related Google searches, and their cross-correlations with volatility and traded volume: Evidence from the Dow Jones Industrial components

    E-Print Network [OSTI]

    Kristoufek, Ladislav

    2015-01-01

    We study power-law correlations properties of the Google search queries for Dow Jones Industrial Average (DJIA) component stocks. Examining the daily data of the searched terms with a combination of the rescaled range and rescaled variance tests together with the detrended fluctuation analysis, we show that the searches are in fact power-law correlated with Hurst exponents between 0.8 and 1.1. The general interest in the DJIA stocks is thus strongly persistent. We further reinvestigate the cross-correlation structure between the searches, traded volume and volatility of the component stocks using the detrended cross-correlation and detrending moving-average cross-correlation coefficients. Contrary to the universal power-law correlations structure of the related Google searches, the results suggest that there is no universal relationship between the online search queries and the analyzed financial measures. Even though we confirm positive correlation for a majority of pairs, there are several pairs with insign...

  11. First Google.Org-Funded Geothermal Mapping Report Confirms Vast...

    Office of Environmental Management (EM)

    Google.Org-Funded Geothermal Mapping Report Confirms Vast Coast-to-Coast Clean Energy Source First Google.Org-Funded Geothermal Mapping Report Confirms Vast Coast-to-Coast Clean...

  12. Global Analysis of Snow Cover Changes Using Google Earth Engine

    E-Print Network [OSTI]

    Coll, Jim

    2014-11-19

    Global Analysis of Snow Cover Changes Using MODIS and Google Earth Engine By: Jim Coll Importance of This Project To establish whether or not Google Earth Engine is a viable platform for this type of big data analysis Depending... is Google Earth Engine? Google Earth Engine is a massive data warehouse (2+ petabytes) of remote sensing imagery including all past Landsat and MODIS data. The platform supports JavaScript and Python analysis of these data, and performs the calculations...

  13. Google Archives by Fiscal Year Office of EERE

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Office of EERE, retired Google Analytics profiles for the sites by fiscal year.

  14. Characterizing Google Hacking: A First Large-Scale Quantitative Study

    E-Print Network [OSTI]

    Gu, Guofei

    Characterizing Google Hacking: A First Large-Scale Quantitative Study Jialong Zhang, Jayant Notani.com Abstract. Google Hacking continues to be abused by attackers to find vulnerable websites on current the characteristics of vulnerabilities targeted by Google Hacking (e.g., what kind of vulnerabilities are typically

  15. Google+ Communities as Plazas and Topic Boards Michael J. Brzozowski

    E-Print Network [OSTI]

    Cortes, Corinna

    Google+ Communities as Plazas and Topic Boards Michael J. Brzozowski Google, Inc. Mountain View, CA, Inc. Mountain View, CA, USA edchi@google.com ABSTRACT Researchers have recently been focusing that copies are not made or distributed for profit or commercial advantage and that copies bear this notice

  16. Programmers' Build Errors: A Case Study (at Google) Hyunmin Seo

    E-Print Network [OSTI]

    Cortes, Corinna

    and Technology Hong Kong, China hmseo@cse.ust.hk Caitlin Sadowski Google Mountain View, CA, USA supertri Mountain View, CA, USA eaftan@google.com Robert Bowdidge Google Mountain View, CA, USA bowdidge or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights

  17. Supporting our scientists with Google Earth-based UIs.

    SciTech Connect (OSTI)

    Scott, Janine

    2010-10-01

    Google Earth and Google Maps are incredibly useful for researchers looking for easily-digestible displays of data. This presentation will provide a step-by-step tutorial on how to begin using Google Earth to create tools that further the mission of the DOE national lab complex.

  18. Google Energy's Shift into Renewables case 1-429-226

    E-Print Network [OSTI]

    Edwards, Paul N.

    Google Energy's Shift into Renewables case 1-429-226 April 3, 2012 Published by Globa created subsidiary, sat down to discuss the company's renewable energy investment strategy.1 Google Energy With the green light from co-founder and CEO Larry Page to expand, the team from Google Energy, a recently

  19. Ontology-Assisted Analysis of Web Queries to Determine the Knowledge Radiologists Seek

    E-Print Network [OSTI]

    Rubin, Daniel L.

    Ontology-Assisted Analysis of Web Queries to Determine the Knowledge Radiologists Seek Daniel L frequently search the Web to find informa- tion they need to improve their practice, and knowing the types of information they seek could be useful for evaluating Web resources. Our goal was to develop an automated

  20. 3D visualisation techniques for communicating forest change information in Google Earth

    E-Print Network [OSTI]

    Rushforth, Alex

    2008-12-05

    Techniques for visualising forest change information using the Google Earth online virtual globe were developed as a method of communicating remote sensing analysis to policy-makers and other non-technical audiences. For study areas in Malawi, GIS...

  1. Google Search by Voice: A case study Johan Schalkwyk, Doug Beeferman, Francoise Beaufays, Bill Byrne,

    E-Print Network [OSTI]

    Cortes, Corinna

    ?") or communications (e.g., "update my facebook status to 'seeking chocolate'"). There is also the growing expectation and development at Google is conducted "in-vivo" -- as part of actual services. This way, we benefit from

  2. Development Operations Hypersaline Geothermal Brine Utilization Imperial

    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 VenturesInformation9)ask queries TypeDeveloper headerCounty,

  3. Mapping (USPTO) Patent Data using Overlays to Google Maps

    E-Print Network [OSTI]

    Leydesdorff, Loet

    2011-01-01

    The paper describes a technique to use patent information available online (at the US Patent and Trademark Office) for the generation of Google Maps that indicate both the quantity and quality of patents granted at the city level. The resulting maps are relevant for technological innovation policies and R&D management because the US market can be considered as the leading market for patenting and patent competition. Quantitative data is made available by the mapping routines for more detailed statistical analysis, and the non-parametric statistics for significance testing are specified. The new mapping approach is explored for the cases of the emerging technologies of "RNA interference" and "nanotechnology" as specific examples. Perspectives for further developments of this technique (other databases and network analysis of co-inventions) are specified.

  4. Extracting and Querying Probabilistic Information in BayesStore

    E-Print Network [OSTI]

    Wang, Zhe

    2011-01-01

    68 Join over Model M F OBN Viterbi SQL74 SQL Implementation of MCMCjoin algorithms. . 99 The SQL+IE query template. . . . . . .

  5. REGULAR PATHS IN SPARQL: QUERYING THE NCI THESAURUS

    E-Print Network [OSTI]

    Washington at Seattle, University of

    REGULAR PATHS IN SPARQL: QUERYING THE NCI THESAURUS University of Washington Structural Informatics path enhancements Examples NCI Thesaurus Widely used Exhibits common OWL representational patterns

  6. Google Archives by Fiscal Year Plans, Implementation, and Results

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Corporate sites, retired Google Analytics profiles for the Plans, Implementation, and Results site for fiscal years 2012-14.

  7. Google Archives by Fiscal Year Lose Your Excuse

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Corporate sites, retired Google Analytics profiles for the Lose Your Excuse sites by fiscal year.

  8. Google Archives by Fiscal Year Wind and Water

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Wind and Water Power Technologies Office, retired Google Analytics profiles for the sites by fiscal year.

  9. Google Archives by Fiscal Year Social Media Site

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Corporate sites, retired Google Analytics profiles for the Social Media site for fiscal years 2012-14.

  10. Google Archives by Fiscal Year Maps and Data

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Corporate sites, retired Google Analytics profile for the Maps and Data site for fiscal year 2012.

  11. March 24, 2008 ADBS: Query Opt. 1 Algorithms for Query Processing and

    E-Print Network [OSTI]

    Adam, Salah

    Algebra SELECT LNAME, FNAME FROM EMPLOYEE WHERE SALARY > ( SELECT MAX (SALARY) FROM EMPLOYEE WHERE DNO = 5); SELECT MAX (SALARY) FROM EMPLOYEE WHERE DNO = 5 SELECT LNAME, FNAME FROM EMPLOYEE WHERE SALARY > C MAX SALARY (DNO=5 (EMPLOYEE))LNAME, FNAME (SALARY>C(EMPLOYEE)) #12;March 24, 2008 ADBS: Query Opt. 7

  12. AutoEval: An Evaluation Methodology for Evaluating Query Suggestions Using Query Logs

    E-Print Network [OSTI]

    Kruschwitz, Udo

    . User evaluations of search engines are expensive and not easy to replicate. The problem is even more pronounced when assessing adap- tive search systems, for example system-generated query modification suggestions that can be derived from past user interactions with a search engine. Automatically predicting

  13. Preventing SQL Injection through Automatic Query Sanitization with ASSIST

    E-Print Network [OSTI]

    Mui, Raymond; 10.4204/EPTCS.35.3

    2010-01-01

    Web applications are becoming an essential part of our everyday lives. Many of our activities are dependent on the functionality and security of these applications. As the scale of these applications grows, injection vulnerabilities such as SQL injection are major security challenges for developers today. This paper presents the technique of automatic query sanitization to automatically remove SQL injection vulnerabilities in code. In our technique, a combination of static analysis and program transformation are used to automatically instrument web applications with sanitization code. We have implemented this technique in a tool named ASSIST (Automatic and Static SQL Injection Sanitization Tool) for protecting Java-based web applications. Our experimental evaluation showed that our technique is effective against SQL injection vulnerabilities and has a low overhead.

  14. Google's Auction for Radio and TV Ads Preliminary version

    E-Print Network [OSTI]

    Cortes, Corinna

    Google's Auction for Radio and TV Ads Preliminary version Noam Nisan Jason Bayer Deepak Chandra Tal. Abstract This document describes the auction system used by Google for allocation and pricing of TV ads and Radio ads. It is based on a simultaneous ascending auction, and has been in use since September 2008. 0

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

    E-Print Network [OSTI]

    Easton, Robert W.

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

  16. Scalable and Precise Taint Analysis for Android Google, USA

    E-Print Network [OSTI]

    Milanova, Ana

    Scalable and Precise Taint Analysis for Android Wei Huang Google, USA huangwe@google.com Yao Dong@us.ibm.com ABSTRACT We propose a type-based taint analysis for Android. Con- cretely, we present DFlow, a context privacy leaks in Android apps. We present novel techniques for error reporting based on CFL

  17. Google matrix analysis of directed networks Leonardo Ermann

    E-Print Network [OSTI]

    Shepelyansky, Dima

    Google matrix analysis of directed networks Leonardo Ermann Departamento de Fisica Teorica, GIy network structures and characteristics. This review describes the Google matrix analysis of directed and Ulam networks. The analytical and numer- ical matrix methods used in this analysis originate from

  18. Google matrix analysis of DNA sequences Vivek Kandiah1

    E-Print Network [OSTI]

    Shepelyansky, Dima

    1 Google matrix analysis of DNA sequences Vivek Kandiah1 , Dima L. Shepelyansky1, 1 Laboratoire de.quantware.ups-tlse.fr/dima Abstract For DNA sequences of various species we construct the Google matrix G of Markov tran- sitions between nearby words composed of several letters. The statistical distribution of matrix elements

  19. Google matrix analysis of directed networks Leonardo Ermann

    E-Print Network [OSTI]

    Shepelyansky, Dima

    Google matrix analysis of directed networks Leonardo Ermann Departamento de Fsica Terica, GIy structures and characteristics. This review describes the Google matrix analysis of directed complex networks networks. The analytical and numerical matrix methods used in this analysis originate from the fields

  20. Input-Sensitive Scalable Continuous Join Query This paper considers the problem of scalably processing a large number of continuous queries. Our

    E-Print Network [OSTI]

    Agarwal, Pankaj K.

    Input-Sensitive Scalable Continuous Join Query Processing Anonymous This paper considers the problem of scalably processing a large number of continuous queries. Our approach, consisting of novel in query predicates for efficient group processing. We partition the collection of continuous queries

  1. A RETRIEVAL PATTERN-BASED INTER-QUERY LEARNING APPROACH FOR CONTENT-BASED IMAGE RETRIEVAL

    E-Print Network [OSTI]

    Qi, Xiaojun

    -query learning (a.k.a., short- term learning) to perform query tuning in a single retrieval session. Recently, inter-query learning (a.k.a., long-term learning) has been employed to further improve retrieval

  2. Adaptive Query Processing in Mobile Environment Hocine Grine

    E-Print Network [OSTI]

    Madiraju, Praveen

    . Furthermore, query optimization and execution must take into account available resources in or- der computing. In this context, actual query evaluation and op- timization techniques in distributed databases Descriptors C.2.4 [Computer-Communication Networks]: Distributed Systems--distributed applications; H.2

  3. PackageBuilder: Querying for packages of tuples Kevin Fernandes

    E-Print Network [OSTI]

    Meliou, Alexandra

    to query a database of recipes to retrieve all the gluten-free meals, assuming that the amount of gluten be gluten-free. This example cannot be expressed in traditional SQL: SQL queries can easily check conditions. For example, in the meal planner application, the gluten-free restriction is a base constraint, as it can

  4. Energy-Efficient Aggregate Query Evaluation in Sensor Networks

    E-Print Network [OSTI]

    Liang, Weifa

    Energy-Efficient Aggregate Query Evaluation in Sensor Networks Zhuoyuan Tu and Weifa Liang efficiently. This paper considers the aggregate query evaluation in a sensor network database, wliang}@cs.anu.edu.au Abstract. Sensor networks, consisting of sensor devices equipped with energy

  5. Article ID: Query Translation on the Fly in Deep Web

    E-Print Network [OSTI]

    Article ID: Query Translation on the Fly in Deep Web Integration Jiang Fangjiao, Jia Linlin, Meng users to access the desired information, many researches have dedicated to the Deep Web (i.e. Web databases) integration. We focus on query translation which is an important part of the Deep Web integration

  6. Maximizing the Sustained Throughput of Distributed Continuous Queries

    E-Print Network [OSTI]

    Palpanas, Themis

    the query plans that maximize throughput and adhere to the input profile. Examples of data stream managementMaximizing the Sustained Throughput of Distributed Continuous Queries Ioana Stanoi, George Mihaila of execution time for every incoming data tuple, which leads to an upper bound on the rate at which tuples can

  7. Materialized View Selection and Maintenance Using Multi-Query Optimization

    E-Print Network [OSTI]

    Ramamritham, Krithi

    Materialized View Selection and Maintenance Using Multi-Query Optimization Hoshi Mistry Prasan the differentials as above. Our work addresses the problem of optimizing the main- tenance of a set of materialized Materialized views have been found to be very effective at speeding up queries, and are increasingly being

  8. A Statistical Approach for Achievable Dose Querying in IMRT Planning

    E-Print Network [OSTI]

    Kazhdan, Michael

    Introduction We explore a data-driven approach for achievable dose querying in intensity- modulated radiation specifies too low a target dose to the OAR, the treatment plan may not be realiz- able and the treatmentA Statistical Approach for Achievable Dose Querying in IMRT Planning Patricio Simari1 , Binbin Wu2

  9. Query Specific Fusion for Image Retrieval Shaoting Zhang2

    E-Print Network [OSTI]

    Chen, Kuang-Yu

    Query Specific Fusion for Image Retrieval Shaoting Zhang2 , Ming Yang1 , Timothee Cour1 , Kai Yu1 indexed by compact hashing codes both demonstrate excellent scalability. However, their retrieval propose a graph-based query specific fusion approach where multiple retrieval sets are merged and reranked

  10. Efficient Query Processing on Graph Databases JAMES CHENG

    E-Print Network [OSTI]

    Ng, Wilfred Siu Hung

    . In this article, we propose an efficient index, FG*-index, to solve this problem. The cost of processing a subgraph query using most existing indexes mainly consists of two parts, the index probing cost and the candidate verification cost. Index probing is to find the query in the index, or to find the graphs from

  11. Window Query Processing in Linear Quadtrees Ashraf Aboulnaga

    E-Print Network [OSTI]

    Aboulnaga, Ashraf

    blocks and searching for these quadtree blocks in the linear quadtree index. The cost model is also based/O cost of processing a window query, and it uses two very simple parameters of the linear quadtree index the query window to search the B-tree. We also present a cost model that estimates the I/O cost

  12. 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

  13. A Foundation for Conventional and Temporal Query Optimization

    E-Print Network [OSTI]

    Snodgrass, Richard T.

    substantially from built-in temporal support in the DBMS. To achieve this, temporal query representation DBMS architectures and ones where the temporal support is obtained via a layer on top of a conventional DBMS. This foundation captures duplicates and ordering for all queries, as well as coalescing

  14. Efficient Temporal Coalescing Query Support in Relational Database Systems

    E-Print Network [OSTI]

    Zaniolo, Carlo

    demand for temporal databases have only in- creased with time; unfortunately, DBMS vendors and standard by the lessons learned from the very history of temporal databases, where past proposals failed to gain much temporal query models with current DBMS engines [5]. Even if temporal database and query model can be well

  15. Efficient Consistency Proofs for Generalized Queries on a Committed Database

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    Efficient Consistency Proofs for Generalized Queries on a Committed Database Rafail Ostrovsky UCLA@csail.mit.edu July 20, 2004 Abstract A consistent query protocol (CQP) allows a database owner to publish a very short string c which commits her and everybody else to a particular database D, so that any copy

  16. Efficient Consistency Proofs for Generalized Queries on a Committed Database

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    Efficient Consistency Proofs for Generalized Queries on a Committed Database #3; Rafail Ostrovsky asmith@csail.mit.edu July 20, 2004 Abstract A consistent query protocol (CQP) allows a database owner to publish a very short string c which commits her and everybody else to a particular database D, so that any

  17. SQL Reference Learning Gupta SQLBase Structured Query Language

    E-Print Network [OSTI]

    SQL Reference Learning Gupta SQLBase Structured Query Language (SQL) By William Sprouse CENTER, CO 80523 Spring 1996 #12;SQL Reference Learning Gupta SQLBase Structured Query Language (SQL.1.2.4 The Clipboard 5 2.2 GETTING STARTED 5 2.2.1 STARTING QUEST 5 2.2.2 GETTING HELP 6 3. SQL BASICS 6 3

  18. Automatic Word Similarity Detection for TREC 4 Query Expansion

    E-Print Network [OSTI]

    Kansas, University of

    Boolean queries by including terms from an online thesaurus was able to improve search results (Gauch the query. However, the latter two approaches require the presence of an online thesaurus whose words closely match the contents of the database. #12;Where can such a thesaurus come from? In some cases

  19. LOGICAL QUERY COMPOSITION FROM LOCAL VISUAL FEATURE THESAURUS

    E-Print Network [OSTI]

    Fauqueur, Julien

    LOGICAL QUERY COMPOSITION FROM LOCAL VISUAL FEATURE THESAURUS Julien FAUQUEUR and Nozha BOUJEMAA photometric thesaurus. It gives an overview of the database content in the query interface. Unsupervised generation of this thesaurus is based on grouping similar regions into "region categories". The user can

  20. Properties and Application of Nondeterministic Quantum Query Algorithms

    E-Print Network [OSTI]

    Alina Dubrovska Vasilieva

    2006-11-07

    Many quantum algorithms can be analyzed in a query model to compute Boolean functions where input is given by a black box. As in the classical version of decision trees, different kinds of quantum query algorithms are possible: exact, zero-error, bounded-error and even nondeterministic. In this paper, we study the latter class of algorithms. We introduce a fresh notion in addition to already studied nondeterministic algorithms and introduce dual nondeterministic quantum query algorithms. We examine properties of such algorithms and prove relations with exact and nondeterministic quantum query algorithm complexity. As a result and as an example of the application of discovered properties, we demonstrate a gap of n vs. 2 between classical deterministic and dual nondeterministic quantum query complexity for a specific Boolean function.

  1. Google Search and the Right to Be Forgotten

    E-Print Network [OSTI]

    Isom, David

    2015-01-01

    Nissenbaum. Shaping the Web: Why the Politics of SearchLets Users Erase Records on Web, New York Times, May 13,google-should-erase- web-links-to-some-personal-data-

  2. V-105: Google Chrome Multiple Vulnerabilities | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematics And Statistics » USAJobs Search USAJobs SearchWater-Saving Projects1:Department5: Google Chrome

  3. Developing a National REDD+ Strategy | 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 ECoopButtePower VenturesInformation9)ask queries TypeDeveloper header Developera

  4. Development Of Genetic Occurrence Models For Geothermal Prospecting | Open

    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 VenturesInformation9)ask queries TypeDeveloper header

  5. Development Wells At Coso Geothermal Area (1985) | 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 ECoopButtePower VenturesInformation9)ask queries TypeDeveloper headerCounty,Coso

  6. Development Wells At Long Valley Caldera Geothermal Area (Associates, 1987)

    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 VenturesInformation9)ask queries TypeDeveloper| Open Energy

  7. Development Wells At Long Valley Caldera Geothermal Area (Suemnicht, Et

    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 VenturesInformation9)ask queries TypeDeveloper| Open Energy1984)

  8. Development of Agency Reduction Targets | 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 ECoopButtePower VenturesInformation9)ask queries TypeDeveloper| OpenSilver Peak

  9. Development of Exploration Methods for Engineered Geothermal Systems

    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 VenturesInformation9)ask queries TypeDeveloper| OpenSilver

  10. Development of an injection augmentation program at the Dixie Valley,

    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 VenturesInformation9)ask queries TypeDeveloper| OpenSilverNevada

  11. A Digital Watermarking Approach to Secure and Precise Range Query Processing in Sensor Networks

    E-Print Network [OSTI]

    Liu, Alex X.

    . In this paper, we propose QuerySec, a protocol that enables storage nodes to process queries correctly while queries, which allows storage nodes to process queries correctly without knowing the actual values of both of sending to the sink via multiple hops, which saves energy for sensors. Second, storage nodes store sensor

  12. Fall 2011 CIS 452 STRUCTURED QUERY LANGUAGE (SQL) Course Number: CIS 452

    E-Print Network [OSTI]

    Diestel, Geoff

    Fall 2011 CIS 452 STRUCTURED QUERY LANGUAGE (SQL) Course Number: CIS 452 Course Name: Structured Query Language (SQL) Catalog Description: (2010-2011) A study of SQL, including relational database schema in SQL, formulating SQL queries and sub queries of varying complexity, embedding SQL statements

  13. Widget:GoogleAreaMap | 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 aDisqusHelperGoogleAreaMap Jump to: navigation,

  14. Online.Academy.edu/BuildingInfo Ads by Google August 1, 2010

    E-Print Network [OSTI]

    Online.Academy.edu/BuildingInfo Ads by Google August 1, 2010 The best in green design By Relaxnews, critics and environmental education specialists from the US, the UK, Europe and Asia. Green buildings (Cambridge, Massachusetts USA) Behnisch Architekten 2003 7 votes Beddington Zero Energy Development /Bed

  15. Google Search Web www.nanotech-now.com

    E-Print Network [OSTI]

    Braun, Paul

    by Google Home > Press > Researchers bend light through waveguides in colloidal crystals Abstract: Researchers at the University of Illinois are the first to achieve optical waveguiding of near-infrared light. Researchers bend light through waveguides in colloidal crystals CHAMPAIGN, IL | Posted on January 7th, 2008

  16. Google Explores the 10th Mermaids and Sea Serpents

    E-Print Network [OSTI]

    Sandwell, David T.

    of dollars exploring Planet Earth and the other 8 planets of our solar system yet there is one last great altimeter data may be used to predict bathymetry at a scale of 6-9 km. The ability to use Google Earth below of the deep oceans using ships would take 120 ship-years at a cost of billions of dollars. Indeed

  17. Advertising in Google Search Deriving a bidding strategy

    E-Print Network [OSTI]

    Boucherie, Richard J.

    Advertising in Google Search Deriving a bidding strategy in the biggest auction on earth. Anne the perspective of the advertiser. It presents a model for the expected profit per view, depending on either the bid or the obtained position of the advertiser. In a subsequent analysis, the position and bid

  18. Customizing your Google Scholar Settings University of Saskatchewan Library

    E-Print Network [OSTI]

    Peak, Derek

    from the top of your Google Scholar screen before you enter your search terms. 3. Select Library Links screen, enter your search terms. 7. From your search results, choose Fulltext@UofSLibrary to view from the left side of the screen. 4. In the Library Links text box enter university of saskatchewan

  19. Query-Driven Visualization and Analysis

    SciTech Connect (OSTI)

    Ruebel, Oliver; Bethel, E. Wes; Prabhat, Mr.; Wu, Kesheng

    2012-11-01

    This report focuses on an approach to high performance visualization and analysis, termed query-driven visualization and analysis (QDV). QDV aims to reduce the amount of data that needs to be processed by the visualization, analysis, and rendering pipelines. The goal of the data reduction process is to separate out data that is "scientifically interesting'' and to focus visualization, analysis, and rendering on that interesting subset. The premise is that for any given visualization or analysis task, the data subset of interest is much smaller than the larger, complete data set. This strategy---extracting smaller data subsets of interest and focusing of the visualization processing on these subsets---is complementary to the approach of increasing the capacity of the visualization, analysis, and rendering pipelines through parallelism. This report discusses the fundamental concepts in QDV, their relationship to different stages in the visualization and analysis pipelines, and presents QDV's application to problems in diverse areas, ranging from forensic cybersecurity to high energy physics.

  20. Running the AP DDR Query in PeopleSoft 8.8 1 Running the AP DDR Query in PeopleSoft 8.8

    E-Print Network [OSTI]

    Barrash, Warren

    Running the AP DDR Query in PeopleSoft 8.8 1 Running the AP DDR Query in PeopleSoft 8.8 People Novell user ID and password and click the Sign In button. #12;Running the AP DDR Query in PeopleSoft 8: In the top border of your window you will see your user Id. #12;Running the AP DDR Query in PeopleSoft 8.8 3

  1. Managing Google Apps Spam Folder.docx Revision 1 How To Manage Email Flagged As Spam By VT Google Apps

    E-Print Network [OSTI]

    Hopkins, William A.

    just right click on the "Spam" folder and select "Delete All". Note that Google automatically deletes Spam after 30 days to keep the folder from growing out of control. If you find a false positive.gmail.com using your preferred browser. 2. In the "Username" type in YourPIDHere@vt.edu without the quotes

  2. Sorting 100 TB on Google Compute Engine Michael Conley

    E-Print Network [OSTI]

    Zwicker, Matthias

    at nearly the speeds of EC2, but at much lower cost. In particular, we sort 100 TB on 296 VMs in 915 seconds of California, San Diego gmporter@cs.ucsd.edu Abstract Google Compute Engine offers a high-performance, cost attached SSDs. In particular, we sort 100 TB on 296 VMs in 915 seconds at a cost of $154.78. We compare

  3. First Google.Org-Funded Geothermal Mapping Report Confirms Vast

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

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

  4. Workplace Charging Challenge Partner: Google | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematics And Statistics » USAJobs SearchAMERICA'SEnergy SafelyEnergyEnergy Systems

  5. Google Rules of Behavior Form | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuelsof Energy Services »Information1Department of Energy Goodyear

  6. INL's Move to Google Apps Enables Flexibility, Scalability | 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: Alternative Fuelsof Energy ServicesContractingManagement »Hydrogen andBlogINFOGRAPHIC:

  7. CRAWLING DEEP WEB CONTENT THROUGH QUERY FORMS Jun Liu, Zhaohui Wu, Lu Jiang, Qinghua Zheng, Xiao Liu

    E-Print Network [OSTI]

    Shamos, Michael I.

    CRAWLING DEEP WEB CONTENT THROUGH QUERY FORMS Jun Liu, Zhaohui Wu, Lu Jiang, Qinghua Zheng, Xiao: Deep Web, Deep Web Surfacing, Minimum Executable Pattern, Adaptive Query Abstract: This paper proposes-based Deep Web adaptive query method. The query method extends query interface from single textbox to MEP set

  8. Table Name query? | 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| Open Energy Information Serbia-Enhancing CapacityVectren)Model forTechnologies95Symerton,E CTEPTTP Plc Jump

  9. compound queries | 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) JumpZhuyuanWindeyZibobuildingcitiescommunity solar

  10. OpenEI Community - ask queries

    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 Big CleanGRR 3rd

  11. OpenEI Community - compound queries

    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 BigArt

  12. Development Wells At Fallon Naval Air Station Area (Sabin, Et Al., 2010) |

    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 VenturesInformation9)ask queries TypeDeveloper headerCounty,CosoOpen

  13. Development Wells At Fenton Hill HDR Geothermal Area (Dash, Et Al., 1983) |

    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 VenturesInformation9)ask queries TypeDeveloper

  14. Development Wells At Long Valley Caldera Geothermal Area (Holt & Campbell,

    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 VenturesInformation9)ask queries TypeDeveloper| Open Energy1984) |

  15. Development Wells At New River Area (DOE GTP) | 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 ECoopButtePower VenturesInformation9)ask queries TypeDeveloper| Open Energy1984)New

  16. Development Wells At Salt Wells Area (Nevada Bureau of Mines and Geology,

    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 VenturesInformation9)ask queries TypeDeveloper| Open

  17. Development Wells At Silver Peak Area (DOE GTP) | 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 ECoopButtePower VenturesInformation9)ask queries TypeDeveloper| OpenSilver Peak Area

  18. User:Woodjr/Sandbox/GoogleEarth | 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 EISTJThin FilmUnited States:User page EditSavegreenincVielmetti

  19. Widget:GoogleAnalyticsEventTracker | 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 aDisqusHelper

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12, 2015Executive Order14,EnergyFinancing and Investing inEnergy

  1. V-097: Google Chrome Multiple Vulnerabilities | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematics And Statistics » USAJobs Search USAJobs SearchWater-Saving Projects1:Department ofDepartment of7:

  2. V-116: Google Picasa BMP and TIFF Images Processing Vulnerabilities |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematics And Statistics » USAJobs Search USAJobs SearchWater-Savingof Energy 5: Apple iOS Bugs

  3. V-121: Google Chrome Multiple Vulnerabilities | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematics And Statistics » USAJobs Search USAJobs SearchWater-Savingof Energy 5: Apple iOSFlaw Lets1:

  4. Recap Dictionaries Wildcard queries Edit distance Spelling correction Soundex Introduction to Information Retrieval

    E-Print Network [OSTI]

    Nejdl, Wolfgang

    Dictionaries Wildcard queries Edit distance Spelling correction Soundex Skip pointers 16 28 72 5 51 98 2 4 8 16

  5. Poster Abstract: Energy-Efficient Data Organization and Query Processing in Sensor Networks

    E-Print Network [OSTI]

    Shahabi, Cyrus

    stor- age and query processing techniques called Data-Centric Storage that leverages locality, Performance, Experimentation Keywords: Sensor Networks, Data-Centric Storage, DCS, Data Organization, Query queries fall under one of the two broad categories namely, Data-Centric Routing (DCR) and Data-Centric

  6. Scalable Continuous Query Processing by Tracking Pankaj K. Agarwal Junyi Xie Jun Yang Hai Yu

    E-Print Network [OSTI]

    Agarwal, Pankaj K.

    Scalable Continuous Query Processing by Tracking Hotspots Pankaj K. Agarwal Junyi Xie Jun Yang Hai}@cs.duke.edu ABSTRACT This paper considers the problem of scalably processing a large number of continuous queries for group-processing and indexing hundreds of thousands of continuous queries. In our approach, we first

  7. Scalable Continuous Query Processing by Tracking Hotspots Pankaj K. Agarwal Junyi Xie Jun Yang Hai Yu

    E-Print Network [OSTI]

    Yang, Jun

    Scalable Continuous Query Processing by Tracking Hotspots Pankaj K. Agarwal Junyi Xie Jun Yang Hai}@cs.duke.edu Abstract This paper considers the problem of scalably processing a large number of continuous queries. We for intervals in linear time. 1 Introduction Continuous query processing has attracted much interest

  8. SEEDEEP: A System for Exploring and Querying Scientific Deep Web Data Sources

    E-Print Network [OSTI]

    Agrawal, Gagan

    SEEDEEP: A System for Exploring and Querying Scientific Deep Web Data Sources Fan Wang Gagan that are hidden behind query forms, thus forming what is re- ferred to as the deep web. In this paper, we propose SEEDEEP, a System for Exploring and quErying scientific DEEP web data sources. SEEDEEP is able

  9. Efficient XML-to-SQL Query Translation: Where to Add the Intelligence?

    E-Print Network [OSTI]

    Pennsylvania, University of

    Efficient XML-to-SQL Query Translation: Where to Add the Intelligence? Rajasekar Krishnamurthy of queries generated by XML to SQL translation. We first show that published XML-to-SQL query translation algo- rithms are suboptimal in that they often trans- late simple path expressions into complex SQL

  10. Efficient discrete-time simulations of continuous-time quantum query algorithms

    E-Print Network [OSTI]

    R. Cleve; D. Gottesman; M. Mosca; R. D. Somma; D. L. Yonge-Mallo

    2008-11-26

    The continuous-time query model is a variant of the discrete query model in which queries can be interleaved with known operations (called "driving operations") continuously in time. Interesting algorithms have been discovered in this model, such as an algorithm for evaluating nand trees more efficiently than any classical algorithm. Subsequent work has shown that there also exists an efficient algorithm for nand trees in the discrete query model; however, there is no efficient conversion known for continuous-time query algorithms for arbitrary problems. We show that any quantum algorithm in the continuous-time query model whose total query time is T can be simulated by a quantum algorithm in the discrete query model that makes O[T log(T) / log(log(T))] queries. This is the first upper bound that is independent of the driving operations (i.e., it holds even if the norm of the driving Hamiltonian is very large). A corollary is that any lower bound of T queries for a problem in the discrete-time query model immediately carries over to a lower bound of \\Omega[T log(log(T))/log (T)] in the continuous-time query model.

  11. A Protein Patent Query System Powered By Kleisli Jing Chen Limsoon Wong Louxin Zhang

    E-Print Network [OSTI]

    Wong, Limsoon

    A Protein Patent Query System Powered By Kleisli Jing Chen Limsoon Wong Louxin Zhang Bio effectively query protein patents. This system uses Kleisli to tie to gether the following sources to answer queries on protein patents that are considerably more demanding than simple freetext search: (1

  12. Query Cost Estimation through Remote System Contention States Analysis over the Internet

    E-Print Network [OSTI]

    Liu, Weiru

    Query Cost Estimation through Remote System Contention States Analysis over the Internet Weiru Liu costs of possible query plans in order to select the best one with the minimum cost. In this context, the cost of a query is affected by three factors: network congestion, server contention state

  13. Static Query Result Caching Revisited Rifat Ozcan, Ismail Sengor Altingovde, zgr Ulusoy

    E-Print Network [OSTI]

    Ulusoy, ?zgür

    Static Query Result Caching Revisited Rifat Ozcan, Ismail Sengor Altingovde, ?zgür Ulusoy first review several query features that are used to determine the contents of a static result cache and effectiveness). General Terms Performance, Experimentation. Keywords Search engine, static caching, query result

  14. Query Suggestion based on User Landing Pages Silviu Cucerzan and Ryen W. White

    E-Print Network [OSTI]

    Cucerzan, Silviu

    formulation, search process. General Terms Algorithms, Experimentation, Human Factors. Keywords Search engine results page, may not contain the queried terms, or may not even be indexed by the search engine users' post-query navigation patterns and the query logs of a large search engine. We compare

  15. SEARCHING FOR MULTIMEDIA: AN ANALYSIS OF AUDIO, VIDEO, AND IMAGE WEB QUERIES

    E-Print Network [OSTI]

    Jansen, James

    search engine. From this data set, terms were used to identify queries for audio, image, and video multimedia files by searching for file extensions and matching the filename to terms in the query (WittenSEARCHING FOR MULTIMEDIA: AN ANALYSIS OF AUDIO, VIDEO, AND IMAGE WEB QUERIES Bernard J. Jansen

  16. A SingleQuery BiDirectional Probabilistic Roadmap Planner with Lazy Collision Checking

    E-Print Network [OSTI]

    LaValle, Steven M.

    1 A SingleQuery BiDirectional Probabilistic Roadmap Planner with Lazy Collision Checking Gildardo probabilistic roadmap (PRM) planner that is: singlequery --it does not precompute a roadmap, but uses the two the robot's free space by concurrently building a roadmap made of two trees rooted at the query

  17. Automatic Reformulation of Children's Search Queries Maarten van Kalsbeek, Joost de Wit, Dolf Trieschnigg,

    E-Print Network [OSTI]

    Hiemstra, Djoerd

    Terms Algorithms, Human Factors, Design Keywords Automatic Query Expansion, Search Behavior, 1 children may make. Most of the search engines offer only the possibility to enter a Boolean queryAutomatic Reformulation of Children's Search Queries Maarten van Kalsbeek, Joost de Wit, Dolf

  18. A New ClientServer Architecture for Distributed Query Processing

    E-Print Network [OSTI]

    with an essentially ``free'' backward reduction capability is proposed. We explore in detail the benefits and costsA New ClientServer Architecture for Distributed Query Processing Zhe Li Kenneth A. Ross Computer Science Department Computer Science Department Columbia University Columbia University New York, NY 10027

  19. Active Query Forwarding in Sensor Networks Narayanan Sadagopan

    E-Print Network [OSTI]

    Krishnamachari, Bhaskar

    , response latency and storage requirements. We show that with optimal parameter settings, depending on the update frequency, ACQUIRE obtains order of magnitude reduction over FBQ and potentially 60 to 85% energy days with a frequency of 1 measurement per hour") versus One-shot queries, which have a simple response

  20. STQL --A SPATIO-TEMPORAL QUERY LANGUAGE Martin Erwig

    E-Print Network [OSTI]

    Erwig, Martin

    evolutions of spatial objects over time. We consider spatio- temporal operations that are particularly useful is to provide a DBMS data model and query language capable of handling such time-dependent geome- tries. Thereby. Our modeling also includes the sim- pler, discrete case where temporal evolutions are stepwise

  1. Answering Table Queries on the Web using Column Rakesh Pimplikar

    E-Print Network [OSTI]

    Sarawagi, Sunita

    , India rakesh.pimplikar@in.ibm.com Sunita Sarawagi IIT Bombay Mumbai, India sunita@iitb.ac.in ABSTRACT We, . . . , Qq, decide for each Ti if it is relevant to Q and if so, identify the mapping between the columns of Ti and query columns. We represent this task as a graphical model that jointly maps all tables

  2. CQ-Buddy: Harnessing Peers For Distributed Continuous Query Processing

    E-Print Network [OSTI]

    Ng, Wee Siong

    In this paper, we present the design and evaluation of CQ-Buddy, a peer-to-peer (p2p) continuous query (CQ) processing system that is distributed, and highly-scalable. CQ-Buddy exploits the differences in capabilities ...

  3. On the Query Complexity of Perfect Gate Discrimination

    E-Print Network [OSTI]

    D'Ariano, Giacomo Mauro

    On the Query Complexity of Perfect Gate Discrimination Giulio Chiribella1 , Giacomo Mauro D'Ariano2 both deterministic strategies. For unambiguous gate discrimination, where errors are not tolerated that there is no difference between perfect probabilistic and perfect determin- istic gate discrimination. Hence, evaluating

  4. Dynamic LCA Queries on Trees # Richard Cole + Ramesh Hariharan #

    E-Print Network [OSTI]

    Cole, Richard

    Dynamic LCA Queries on Trees # Richard Cole + Ramesh Hariharan # Abstract We show how to maintain. The primary use of LCA computations in a su#x tree is to determine the longest common prefix of two substrings common ancestor of the corresponding nodes. The first constant time LCA computation algorithm was due

  5. Adaptable Query Optimization and Evaluation in Temporal Middleware

    E-Print Network [OSTI]

    Snodgrass, Richard T.

    that such data- base applications may benefit substantially from built-in temporal support in the DBMS the DBMS proper or as a source level translation from temporal queries to conventional SQL. This paper proposes a new approach: using a middleware component on top of a conventional DBMS. This component accepts

  6. A Query Answering System for Data with Evolution Relationships

    E-Print Network [OSTI]

    Velegrakis, Yannis

    for exploiting the evolution relationships between the structures in the database. In particular, our system]: Miscellaneous General Terms Algorithms, Performance Keywords Data evolution, Probabilistic databases, GraphA Query Answering System for Data with Evolution Relationships Siarhei Bykau University of Trento

  7. Relational Databases for Querying XML Documents: Limitations and Opportunities

    E-Print Network [OSTI]

    Bertini, Robert L.

    structured data models and query languages for this purpose, this paper explores the more conservative, and notice is given that copying is by permission of the Very Large Data Base Endowment. To copy otherwise@microsoft.com Abstract XML is fast emerging as the dominant standard for representing data in the World Wide Web

  8. Mining Databases and Data Streams with Query Languages and Rules

    E-Print Network [OSTI]

    Zaniolo, Carlo

    Mining Databases and Data Streams with Query Languages and Rules Carlo Zaniolo Computer Science that are beyond the reach of traditional Data Base Management Systems (DBMS), data mining stands out because extensions that have proven very effective at supporting data mining. Finally, we turn our attention

  9. DATA CONCERN AWARE QUERYING FOR THE INTEGRATION OF DATA SERVICES

    E-Print Network [OSTI]

    Dustdar, Schahram

    DATA CONCERN AWARE QUERYING FOR THE INTEGRATION OF DATA SERVICES Muhammad Intizar Ali, Reinhard,dustdar}@infosys.tuwien.ac.at Keywords: Data Services, Database as a Service, Data Services Integration, Data Concerns, XQuery. Abstract: There is an increasing trend for organizations to publish data over the web using data services. The published data

  10. Dynamic Query Optimization under Access Limitations and Dependencies

    E-Print Network [OSTI]

    Calvanese, Diego

    : Unlike relational tables in a database, data sources on the Web typically can only be accessed in limited ways. In particular, some of the source fields may be required as input and thus need to be mandatorily filled in order to access the source. Answering queries over sources with access limitations is a complex

  11. Taxonomy and synthesis of Web services querying languages

    E-Print Network [OSTI]

    Bitar, Ibrahim El; Roudies, Ounsa

    2012-01-01

    Most works on Web services has focused on discovery, composition and selection processes of these kinds of services. Other few works were interested in how to represent Web services search queries. However, these queries cannot be processed by ensuring a high level of performance without being adequately represented first. To this end, different query languages were designed. Even so, in the absence of a standard, these languages are quite various. Their diversity makes it difficult choosing the most suitable language. In fact, this language should be able to cover all types of preferences or requirements of clients such as their functional, nonfunctional,temporal or even specific constraints as is the case of geographical or spatial constraints and meet their needs and preferences helping to provide them the best answer. It must also be mutually simple and imposes no restrictions or at least not too many constraints in terms of prior knowledge to use and also provide a formal or semi-formal queries presentat...

  12. Multi-Query Feedback Motion Planning with LQR-Roadmaps

    E-Print Network [OSTI]

    Jackson, Daniel

    Multi-Query Feedback Motion Planning with LQR-Roadmaps Anirudha Majumdar School of Engineering "roadmap", with each segment representing a locally optimal trajectory of the system and a continuous) - and for parameterized finite-time invariance around a trajectory, as well as a "roadmap" construction al- gorithm

  13. IBM Haifa Research Lab 2010 IBM Corporation Query Performance Prediction

    E-Print Network [OSTI]

    Kurland, Oren

    IBM Haifa Research Lab 2010 IBM Corporation Query Performance Prediction for IR David Carmel, IBM Haifa Research Lab Oren Kurland, Technion SIGIR Tutorial Portland Oregon, August 12, 2012 IBM Labs. David Carmel Research Staff Member at the Information Retrieval group at IBM Haifa Research Lab Ph

  14. Advanced SQL To write queries using nested select statements.

    E-Print Network [OSTI]

    Liang, Y. Daniel

    with the highest salary. You may attempt to solve the query using the following statement: select lastName || ', ' || firstName as "Name", salary from Faculty where salary = max(salary); This is erroneous because lastName || ', ' || firstName as "Name", salary from Faculty where salary = (select max(salary) from

  15. SUPPORTING SKYLINE QUERIES ON CATEGORICAL DATA IN WEB INFORMATION SYSTEMS

    E-Print Network [OSTI]

    Balke, Wolf-Tilo

    Electrical Engineering and Computer Science University of California, Berkeley, USA balke@eecs.berkeley.edu Ulrich Gntzer Institut fr Informatik Universitt Tbingen, Tbingen, Germany guentzer applications are economical choices e.g. a product's expected lifetime against its price. Skyline queries

  16. Bounded Conjunctive Queries Yang Cao1,2

    E-Print Network [OSTI]

    Fan, Wenfei

    of Edinburgh 2 RCBD and SKLSDE Lab, Beihang University 3 Facebook Inc. {Y.Cao-17@sms, wenfei@inf}.ed.ac.uk woty can reduce big D to a "small" DQ of a manageable size. Many real-life queries are actually (effectively) bounded. Example 1: Social networks, e.g., Facebook, allow us to tag a photo and show who

  17. Querying a Bioinformatic Data Sources Registry with Concept Lattices

    E-Print Network [OSTI]

    Devignes, Marie-Dominique

    on metadata reflecting information about sources rather than on data extracted from documents. Formal concept323 Querying a Bioinformatic Data Sources Registry with Concept Lattices Nizar Messai, Marie Bioinformatic data sources available on the web are multi- ple and heterogenous. The lack of documentation

  18. A Technique for Power-Aware Query-Informed Routing in Support of Long-Duration Queries for Sensor Networks

    E-Print Network [OSTI]

    Shatz, Sol M.

    informed" method enables the query process to be efficient in terms of energy consumption. The technique inventory, and healthcare, to military environments. Specific applications include wildlife tracking [6 is the energy constraint, which is a major objective in recent research on the design of sensor network systems

  19. Scale-Independent Relational Query Processing

    E-Print Network [OSTI]

    Armbrust, Michael Paul

    2013-01-01

    Objectives . . NoSQL Storage Systems . . . . . . 2.5.1 DataBigtable: A Distributed Storage System for Structured Data.and more. These storage systems provide developers with a

  20. VIQI: A New Approach for Visual Interpretation of Deep Web Query Interfaces

    E-Print Network [OSTI]

    Boughamoura, Radhouane; Omri, Mohamed Nazih

    2012-01-01

    Deep Web databases contain more than 90% of pertinent information of the Web. Despite their importance, users don't profit of this treasury. Many deep web services are offering competitive services in term of prices, quality of service, and facilities. As the number of services is growing rapidly, users have difficulty to ask many web services in the same time. In this paper, we imagine a system where users have the possibility to formulate one query using one query interface and then the system translates query to the rest of query interfaces. However, interfaces are created by designers in order to be interpreted visually by users, machines can not interpret query from a given interface. We propose a new approach which emulates capacity of interpretation of users and extracts query from deep web query interfaces. Our approach has proved good performances on two standard datasets.

  1. Openness at Google : perspectives from theory and practice

    E-Print Network [OSTI]

    Bouygues, Lonard

    2012-01-01

    Open innovation was defined by Chesbrough (2003) as a development process that allows ideas to flow through the boundaries of the firm. However, while open innovation has been the focus of extensive research and discussions ...

  2. The Niagara Internet Query System Jeffrey Naughton, David DeWitt, David Maier, Ashraf Aboulnaga, Jianjun Chen,

    E-Print Network [OSTI]

    Bertini, Robert L.

    The Niagara Internet Query System Jeffrey Naughton, David DeWitt, David Maier, Ashraf Aboulnaga, merely being an XML query-processing engine does not render a system suitable for querying the Internet, or are infinite streams, or both. The Niagara Internet Query System was designed from the bottom-up to provide

  3. Google's Deep-Web Crawl Jayant Madhavan David Ko Lucja Kot

    E-Print Network [OSTI]

    Google's Deep-Web Crawl Jayant Madhavan David Ko Lucja Kot Google Inc. Google Inc. Cornell@cs.ucsd.edu halevy@google.com ABSTRACT The Deep Web, i.e., content hidden behind HTML forms, has long been of the structured data on the Web, accessing Deep-Web content has been a long-standing challenge for the database

  4. Facebook, Twitter and Google Plus for Breaking News: Is there a winner? Miles Osborne

    E-Print Network [OSTI]

    Osborne, Miles

    Facebook, Twitter and Google Plus for Breaking News: Is there a winner? Miles Osborne School Media have be- gun to carry news. Here we examine how Facebook, Google Plus and Twitter report Facebook or Google Plus. Face- book and Google Plus largely repost newswire stories and their main research

  5. ObjectGlobe: Ubiquitous Query Processing on the Internet

    E-Print Network [OSTI]

    Kemper, Alfons

    for scalable Internet applications, such as business-to-business (B2B) e-commerce systems like SAP's "mySAP capabilities. The goal of the ObjectGlobe project is to establish an open market place in which data and query on the Internet. One of the main challenges in the design of such an open system is to ensure privacy and security

  6. Optimised Phrase Querying and Browsing of Large Text Databases Dirk Bahle Hugh E. Williams Justin Zobel

    E-Print Network [OSTI]

    Zobel, Justin

    ://www.searchenginewatch.com/ efficient--that is, able to find documents quickly--when users pose informal ranked queries or Boolean

  7. Reordering an index to speed query processing without loss of effectiveness.

    E-Print Network [OSTI]

    Hawking, David

    of CO2 emissions. To illustrate the importance o world wide web search engines, a factor of two in query processing effi- ciency could translate

  8. Join Us Tuesday, Jan. 15 for a Google+ Hangout on Critical Materials

    Broader source: Energy.gov [DOE]

    What are critical materials? We will be answering that question and more during our first Google+ Hangout.

  9. Using Facebook and Google Docs for Teaching and Sharing Information Kanda Runapongsa Saikaew1

    E-Print Network [OSTI]

    Runapongsa, Kanda

    1 Using Facebook and Google Docs for Teaching and Sharing Information Kanda Runapongsa, Burapha University, Thailand #12;2 Using Facebook and Google Docs for Teaching and Sharing by doing and exploring. This paper presents the approach and the experience in using Facebook and Google

  10. Energy-Efficient Data Organization and Query Processing in Sensor Networks

    E-Print Network [OSTI]

    a class of data stor- age and query processing techniques called Data-Centric Storage that leverages approaches to organizing data and processing queries fall under one of the two broad categories namely, Data-Centric Routing (DCR) and Data-Centric Storage (DCS). In DCR, the data generated by the sensors is stored

  11. The OLAP-Enabled Grid: Model and Query Processing Algorithms Michael Lawrence Andrew Rau-Chaplin

    E-Print Network [OSTI]

    Rau-Chaplin, Andrew

    is on the efficient optimization of resources for answering queries based on a distributed query algorithm which uses com- puting resources. Grids, widely distributed collections of heterogeneous computers whose.cgmLab.org Abstract The operation of modern distributed enterprises, be they commercial, scientific, or health related

  12. Classifying the user intent of web queries using k-means

    E-Print Network [OSTI]

    Jansen, James

    , Queensland University of Technology, Brisbane, Australia Abstract Purpose Web search engines are frequently 75 percent of web queries (clustered into eight classifications) are informational in nature the intents of the user queries. Automatic classification of user intent can lead to improved web search

  13. Query Optimization as a Datalog Program Mengmeng Liu, Zachary G. Ives, and Boon Thau Loo

    E-Print Network [OSTI]

    Ives, Zachary G.

    Query Optimization as a Datalog Program Mengmeng Liu, Zachary G. Ives, and Boon Thau Loo University is that of specifying the transformation rules and search process of a query optimizer [1]. In certain emerging domains universally understood than the languages used in transformational optimizers like those generated by Volcano

  14. Join Synopses for Approximate Query Answering Swarup Acharya Phillip B. Gibbons Viswanath Poosala Sridhar Ramaswamy

    E-Print Network [OSTI]

    Gibbons, Phillip B.

    optimizer to estimate plan costs; such an application demands very fast response times but not exact answers to provide fast, approximate answers to complex aggregate queries based on statistical summaries of the full solely on providing exact answers to queries, in a manner that seeks to minimize response time

  15. Figure 1. IDVL interface showing 12 documents returned for "El Nio" query along with different multimedia

    E-Print Network [OSTI]

    Wactlar, Howard D.

    to evaluate them. We aggregate and integrate video content on-demand to enable summarization and visualization that provides the users with coherent responses to their queries in a useful broader context, perhaps library, i.e., metadata, to return a set of video documents in response to a user query, as shown

  16. MobiEyes: Distributed Processing of Continuously Moving Queries on Moving Objects in a Mobile System

    E-Print Network [OSTI]

    Liu, Ling

    MobiEyes: Distributed Processing of Continuously Moving Queries on Moving Objects in a Mobile. Significant research efforts have been dedicated to techniques for efficient processing of spatial continuous and scalable solution to processing continuously moving queries on moving objects and describe the design

  17. Query Planning for Searching Inter-Dependent Deep-web Databases

    E-Print Network [OSTI]

    Agrawal, Gagan

    Query Planning for Searching Inter-Dependent Deep-web Databases Fan Wang1 , Gagan Agrawal1 query forms, thus forming what is referred to as the deep web. It is de- sirable to have systems data retrieval from the deep web. However, such systems need to address the following challenges. First

  18. Query Planning for Searching Inter-dependent Deep-Web Databases

    E-Print Network [OSTI]

    Jin, Ruoming

    Query Planning for Searching Inter-dependent Deep-Web Databases Fan Wang1 , Gagan Agrawal1 query forms, thus forming what is referred to as the deep web. It is de- sirable to have systems data retrieval from the deep web. However, such systems need to address the following challenges. First

  19. Improving Performance of Web Services Query Matchmaking with Automated Knowledge Acquisition

    E-Print Network [OSTI]

    Meng, Weiyi

    Improving Performance of Web Services Query Matchmaking with Automated Knowledge Acquisition that abstract away the fundamental complexity of XML-based Web services specifications and toolkits, and provide an elegant, intuitive, simple, and powerful query-based invocation system to end users. Web services based

  20. All-Nearest-Neighbors Queries in Spatial Databases School of Computer Engineering

    E-Print Network [OSTI]

    Papadias, Dimitris

    applications: Geographical Information Systems: Example queries include "find the nearest parking lot to the use of ANN queries, as opposed to previous quadratic-cost approaches. Computer Architecture/VLSI design: The operability and speed of very large circuits depends on the relative distance between

  1. Anonymous Query Processing in Road Networks Kyriakos Mouratidis, Man Lung Yiu

    E-Print Network [OSTI]

    Yiu, Man Lung

    -based services (LBS). Due to the nature of spatial queries, an LBS needs the user position in order to pro- cess spatial query processing, but the main challenge in the LBS industry is of a different nature, etc. User privacy may be threatened because of the sensitive nature of accessed data; e.g., inquiring

  2. Prioritized Sequencing for Efficient Query on Broadcast Geographical Information in Mobile-Computing

    E-Print Network [OSTI]

    Gruenwald, Le

    in improving query efficiency in geographical information broadcast systems. We also proved the linearPrioritized Sequencing for Efficient Query on Broadcast Geographical Information in Mobile and efficient way to disseminate public geographical information to massive users. In this paper, we use R

  3. Ontology-based Query Construction for GeoCLEF and Gnter Neumann2

    E-Print Network [OSTI]

    Neumann, Gnter

    : Geographical Information Retrieval, query expansion, ontology 1 Introduction The goal of geographic information). As for GIR, since geographic variation is an important criterion for evaluating such systems, we assume the traditional information retrieval, we focus more on the query expansion instead of document ranking. We parse

  4. Yuan, M. and J. McIntosh. 2002. A Typology of Spatiotemporal Information Queries. Mining

    E-Print Network [OSTI]

    Yuan, May

    1 Chapter Yuan, M. and J. McIntosh. 2002. A Typology of Spatiotemporal Information Queries. Mining Spatiotemporal Information Systems. K. Shaw, R. Ladner, and M. Abdelguerfi (eds.). Kuwer Academic Publishers. PP. 63-82. A Typology of Spatiotemporal Information Queries May Yuan and John McIntosh Department

  5. Flexible and Scalable CostBased Query Planning in Mediators: A Transformational

    E-Print Network [OSTI]

    Ambite, Jos Luis

    the utility of a plan decreases with time, thus a tradeoff between planning time and plan qualityFlexible and Scalable CostBased Query Planning in Mediators: A Transformational Approach Jos to networked information. Query planning, the task of generating a costefficient plan that computes a user

  6. Algebra-to-SQL Query Translation for Spatio-Temporal Databases

    E-Print Network [OSTI]

    Libre de Bruxelles, Universit

    of transforming the queries expressed for the conceptual schema into an operational query for a target DBMS or GIS their applications, such specifications must be translated into the operational model of current DBMS or GIS who have little technical knowledge of the underlying DBMS or GIS software. #12;The MurMur project

  7. ARGUS: Efficient Scalable Continuous Query Optimization for Large-Volume Data Streams

    E-Print Network [OSTI]

    Carbonell, Jaime

    , and topological query network optimization. Building on top of a DBMS, the system provides a value-adding package to directly running the continuous queries on the DBMS, ARGUS achieves well over a 100-fold improvement processing becomes increasingly demanding. It readily arises from the existing DBMS applications to manage

  8. Representing and Querying the Evolution of Databases and their Schemas in Fusheng Wang and Carlo Zaniolo

    E-Print Network [OSTI]

    Zaniolo, Carlo

    Representing and Querying the Evolution of Databases and their Schemas in XML Fusheng Wang surprisingly effective solutions to the problem of representing and querying the evolution of databases for evolution [20, 19, 13]. Meanwhile, there is much current interest in publishing and viewing database

  9. SQL4X: A Flexible Query Language for XML and Relational Databases

    E-Print Network [OSTI]

    Kanza, Yaron

    SQL4X: A Flexible Query Language for XML and Relational Databases Sara Cohen, Yaron Kanza, and Yehoshua Sagiv The Hebrew University, Institute of Computer Science, Jerusalem 91904, Israel Abstract. SQL4. Using SQL4X, one can create both relations and XML documents as query results. Thus, SQL4X can

  10. SQL is Dead; Long Live SQL: Lightweight Query Services for Ad Hoc Research Data

    E-Print Network [OSTI]

    Matrajt, Graciela

    SQL is Dead; Long Live SQL: Lightweight Query Services for Ad Hoc Research Data Bill Howe billhowe with ad hoc scientific Q&A. Further: We reject the conventional wisdom that "scientists won't write SQL a production-quality database server. We observe that simply sharing examples of SQL queries allows

  11. Modeling and Querying Metadata in the Semantic Sensor Web: the Model stRDF and the

    E-Print Network [OSTI]

    Koubarakis, Manolis

    Modeling and Querying Metadata in the Semantic Sensor Web: the Model stRDF and the Query Language extend RDF, which will often be the metadata model of choice in the Semantic Sensor Web, with a uniform and Kapodistrian University of Athens Greece {koubarak,kkyzir}@di.uoa.gr Abstract. RDF will often be the metadata

  12. Querying Big Data: Bridging Theory and Practice Wenfei Fana,b

    E-Print Network [OSTI]

    Fan, Wenfei

    Querying Big Data: Bridging Theory and Practice Wenfei Fana,b , Jinpeng Huaib aInternational Research Center on Big Data, Beihang University, Beijing, No.37 XueYuan Road, 100083, Beijing, China Abstract Big data introduces challenges to query answering, from theory to practice. A number of questions

  13. Continuous Query Processing of Spatio-temporal Data Streams in PLACE

    E-Print Network [OSTI]

    Mokbel, Mohamed F.

    of Calgary, Calgary, Alberta E-mail:hammad@cpsc.ucalgary.ca Abstract. The tremendous increase in the use as queries are continuously moving. In this paper, we present a continuous query processor designed receive data from mobile objects (e.g., moving vehicles in road networks). The streaming nature

  14. Window-aware Load Shedding for Aggregation Queries over Data Streams

    E-Print Network [OSTI]

    - tem must shed load in order to maintain low-latency query results. In this paper, we describe a loadWindow-aware Load Shedding for Aggregation Queries over Data Streams Nesime Tatbul Brown University tatbul@cs.brown.edu Stan Zdonik Brown University sbz@cs.brown.edu ABSTRACT Data stream management

  15. Combining Multiple Evidence from Dierent Types of Thesaurus for Query Expansion

    E-Print Network [OSTI]

    Nie, Jian-Yun

    Combining Multiple Evidence from Dierent Types of Thesaurus for Query Expansion Rila Mandala only one type of thesaurus has generally been used. In this paper we analyze the characteristics of dierent thesaurus types and propose a method to combine them for query ex- pansion. Experiments using

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

    E-Print Network [OSTI]

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

  17. Connected Sensor Cover: Self-Organization of Sensor Networks for Efficient Query Execution

    E-Print Network [OSTI]

    Gupta, Himanshu

    in a collaborative fashion, and is periodically queried by an external source to report a summary of the sensed data algorithm, and propose several optimizations to reduce the communication overhead of the algorithm. Finally certain objects of interest, say tanks. A typical query could be: Report the number of tank sightings

  18. Anti-pattern Detection with Model Queries: A Comparison of Approaches

    E-Print Network [OSTI]

    Ferenc, Rudolf

    Anti-pattern Detection with Model Queries: A Comparison of Approaches Zoltn Ujhelyi, kos Horvth (EMF) as an underlying representation of program models processed by three general-purpose model query with a metamod- eling framework, such as the Eclipse Modeling Framework (EMF), which offers advanced tooling

  19. Skyline Queries Against Mobile Lightweight Devices in MANETs Zhiyong Huang1

    E-Print Network [OSTI]

    Ooi, Beng Chin

    Skyline Queries Against Mobile Lightweight Devices in MANETs Zhiyong Huang1 Christian S. Jensen2 and distributed setting, where each mobile device is capable of holding only a portion of the whole dataset; where devices communicate through mobile ad hoc networks; and where a query issued by a mobile user

  20. Towards Large-Scale Collaborative Planning: Answering High-Level Search Queries Using Human Computation

    E-Print Network [OSTI]

    Chen, Yiling

    Towards Large-Scale Collaborative Planning: Answering High-Level Search Queries Using Human of Engineering and Applied Sciences Harvard University hq@eecs.harvard.edu Abstract Behind every search query is a high-level mission that the user wants to accomplish. While current search en- gines can often provide

  1. Real time search on the web: Queries, topics, and economic value Bernard J. Jansen a,

    E-Print Network [OSTI]

    Jansen, James

    examine aggregate usage of the search engine, including number of users, queries, and terms. We term interest in a topic and the polling nature of real time queries. Concerning search topics geographical affinity, pointing to a location-based aspect to real time search. In terms of economic value, we

  2. Rounds vs Queries Trade-off in Noisy Computation [Extended Abstract

    E-Print Network [OSTI]

    Saks, Michael

    Rounds vs Queries Trade-off in Noisy Computation [Extended Abstract] Navin Goyal Michael Saks OR of n bits. This answers a question of Newman [21]. We prove more general trade-offs between the number (noise-free) model, a boolean function f(x1, . . . , xn) is to be computed by querying variables

  3. Context-Sensitive Query Auto-Completion Ziv Bar-Yossef

    E-Print Network [OSTI]

    Bar-Yossef, Ziv

    , Israel nkraus@cs.technion.ac.il ABSTRACT Query auto completion is known to provide poor predictions 31905, Israel zivby@ee.technion.ac.il Naama Kraus Computer Science Department Technion Haifa 32000 that context, such as the user's recent queries, can be used to improve the prediction quality considerably

  4. Frequent query discovery: a unifying ILP approach to association rule mining

    E-Print Network [OSTI]

    Hinneburg, Alexander

    Frequent query discovery: a unifying ILP approach to association rule mining Luc Dehaspe and Hannu Celestijnenlaan 200A -- B3001 Heverlee (Belgium) #12; Frequent query discovery: a unifying ILP approach to association rule mining Luc Dehaspe \\Lambda and Hannu Toivonen y Report CW 258, March 2, 1998 Department

  5. Probabilistic Roadmaps of Trees for Parallel Computation of Multiple Query Roadmaps

    E-Print Network [OSTI]

    Kavraki, Lydia E.

    Probabilistic Roadmaps of Trees for Parallel Computation of Multiple Query Roadmaps Mert Akinc sample-based method primarily designed for multiple query planning (the Probabilistic Roadmap Method the Probabilistic Roadmap of Trees (PRT), uses a tree algorithm as a subroutine for PRM. The nodes of the PRM

  6. ROADTRACK: Scaling Location Updates for Mobile Clients on Road Networks with Query Awareness

    E-Print Network [OSTI]

    Liu, Ling

    ROADTRACK: Scaling Location Updates for Mobile Clients on Road Networks with Query Awareness Peter ROADTRACK a road- network based, query-aware location update framework with two unique features. First, we road-network based check-free inter- val optimization further enhances the effectiveness of the ROAD

  7. Second-Order Signature: A Tool for Specifying Data Models, Query Processing, and Optimization

    E-Print Network [OSTI]

    Güting, Ralf Hartmut

    -order signature (and algebra), a system of two coupled many-sorted signatures, where the top-level signature the types defined as terms of the top level. Hence the top level can be used to define a data or representation model and the bottom level to describe a query algebra or a query processing algebra. We show

  8. Rethinking Query Processing for Energy Efficiency: Slowing Down to Win the Race

    E-Print Network [OSTI]

    Patel, Jignesh

    Rethinking Query Processing for Energy Efficiency: Slowing Down to Win the Race Willis Lang of an energy efficiency metric along with traditional performance metrics. This change is fueled by the growing, real, and urgent demand for energy-efficient database processing. Database query processing engines

  9. Parallelizing Skyline Queries for Scalable Distribution Ping Wu, Caijie Zhang, Ying Feng, Ben Y. Zhao, Divyakant Agrawal and Amr El

    E-Print Network [OSTI]

    Zhao, Ben Y.

    a partial or der on query propagation in order to pipeline query execution. Our analysis shows that DSL,000 to $15,000 and mileage between 50K and 100K miles. The discussion hereafter focuses on this generalized

  10. Parallelizing Skyline Queries for Scalable Distribution Ping Wu, Caijie Zhang, Ying Feng, Ben Y. Zhao, Divyakant Agrawal,

    E-Print Network [OSTI]

    Almeroth, Kevin C.

    order on query propagation in order to pipeline query execution. Our analysis shows that DSL is optimal records within the price range of $10,000 to $15,000 and mileage between 50K and 100K miles

  11. Query-aware Test Generation Using a Relational Constraint Solver Shadi Abdul Khalek Bassem Elkarablieh Yai O. Laleye Sarfraz Khurshid

    E-Print Network [OSTI]

    Khurshid, Sarfraz

    systems (DBMS) using the Alloy tool-set. Given a database schema and an SQL query as inputs, our approach the execution result of a DBMS query processor. By incorporating both the schema and the query during is prohibitively expensive [10]. DBMS testing, in general, is a labor intensive, time consuming process, often

  12. Private Database Queries Using Quantum States with Limited Coherence Times

    E-Print Network [OSTI]

    Tad Hogg; Li Zhang

    2009-03-31

    We describe a method for private database queries using exchange of quantum states with bits encoded in mutually incompatible bases. For technology with limited coherence time, the database vendor can announce the encoding after a suitable delay to allow the user to privately learn one of two items in the database without the ability to also definitely infer the second item. This quantum approach also allows the user to choose to learn other functions of the items, such as the exclusive-or of their bits, but not to gain more information than equivalent to learning one item, on average. This method is especially useful for items consisting of a few bits by avoiding the substantial overhead of conventional cryptographic approaches.

  13. A Google Scholar gadget for calculating author citations and other statistical information regarding publications. more... Statistics

    E-Print Network [OSTI]

    Sriraman, Bharath

    -Index: 17 scholar.google.com Copyright - Jan Feyereisl (v.1.211) Project Page view publications AuthorA Google Scholar gadget for calculating author citations and other statistical information regarding publications. more... Statistics: Citations for 'Sriraman.B' : 1153 Cited Publications: 100 H

  14. GOOGLE AND GIS INTEGRATED ON THE ARM WEBSITE: A WORK IN PROGRESS

    E-Print Network [OSTI]

    GOOGLE AND GIS INTEGRATED ON THE ARM WEBSITE: A WORK IN PROGRESS A. Cialella and R. Wagener to zoom in at varying resolutions, with satellite images and/or street maps as backdrops. The ACRF GIS (ESRI ArcGIS) database was merged with Google to include markers for the SGP site facilities. A new SGP

  15. T-632: Google Chrome OS before R12 0.12.433.38 Beta Update

    Broader source: Energy.gov [DOE]

    CVE-2011-2171 addresses unspecified vulnerabilities in the dbugs package of Google Chrome OS. Prior versions of Google Chrome can be fixed by updating to the current release. Information and content related to this CVE was last updated on 05/25/2011. To find out more information about Chromium OS Security and Reported Bugs, please visit: The Chromium Projects Security Overview.

  16. Scalable and Precise Taint Analysis for Android huangwe@google.com

    E-Print Network [OSTI]

    Bystroff, Chris

    Scalable and Precise Taint Analysis for Android Wei Huang Google huangwe@google.com Yao Dong Ana a type-based taint analysis for Android. Con- cretely, we present DFlow, a context-sensitive information leaks in Android apps. We present novel techniques for error reporting based on CFL

  17. Scalable and Precise Taint Analysis for Android huangwe@google.com

    E-Print Network [OSTI]

    Milanova, Ana

    Scalable and Precise Taint Analysis for Android Wei Huang Google huangwe@google.com Yao Dong Ana-based taint analysis for Android. Con- cretely, we present DFlow, a context-sensitive information flow type in Android apps. We present novel techniques for error reporting based on CFL-reachability, as well as novel

  18. Google Matrix Analysis of DNA Sequences Vivek Kandiah, Dima L. Shepelyansky*

    E-Print Network [OSTI]

    Shepelyansky, Dima

    Google Matrix Analysis of DNA Sequences Vivek Kandiah, Dima L. Shepelyansky* Laboratoire de sequences of various species we construct the Google matrix G of Markov transitions between nearby words composed of several letters. The statistical distribution of matrix elements of this matrix is shown

  19. Google matrix and Ulam networks of intermittency maps L. Ermann and D. L. Shepelyansky

    E-Print Network [OSTI]

    Shepelyansky, Dima

    Google matrix and Ulam networks of intermittency maps L. Ermann and D. L. Shepelyansky Laboratoire the properties of the Google matrix of an Ulam network generated by intermittency maps. This network is created by the Ulam method which gives a matrix approximant for the Perron-Frobenius operator of dynamical map

  20. Construction of Query Concepts in a Document space based on Data Mining Techniques

    E-Print Network [OSTI]

    Chang, Y.; Kim, M.; Ounis, I.

    Chang,Y. Kim,M. Ounis,I. In Proceedings of the 6th International Conference On Flexible Query Answering Systems (FQAS 2004), Lecture Notes in Artificial Intelligence, June 24-26 2004, Lyon, France. Sun Microsystems Inc.

  1. A TALE OF TWO (SIMILAR) CITIES: Inferring City Similarity Through Geo-Spatial Query Log Analysis

    E-Print Network [OSTI]

    Cortes, Corinna

    a variety of more in-depth information about households. Advertisers often use the high-level information in the US. In contrast to the Census studies, passive studies of search engine query logs have become common

  2. An IR-based Evaluation Framework for Web Search Query Segmentation

    E-Print Network [OSTI]

    Ganguly, Niloy

    An IR-based Evaluation Framework for Web Search Query Segmentation Author 1 Author 1 Affiliation Author 1 Address Author 1 Email Author 2 Author 2 Affiliation Author 2 Address Author 2 Email ABSTRACT

  3. Top-K Queries on Uncertain Data: On Score Distribution and Typical Answers

    E-Print Network [OSTI]

    Ge, Tingjian

    2009-01-01

    Uncertain data arises in a number of domains, including data integration and sensor networks. Top-k queries that rank results according to some user-defined score are an important tool for exploring large uncertain data ...

  4. Does copyright affect reuse? : evidence from the Google Books Digitization Project

    E-Print Network [OSTI]

    Nagaraj, Abhishek

    2014-01-01

    While digitization projects like Google Books have dramatically increased access to digital content, in this study I show how the ability to reuse such information and deliver value to end-users depends crucially on features ...

  5. Is Good Enough OK? Undergraduate Search Behavior in Google and in a Library Database

    E-Print Network [OSTI]

    Emde, Judith; Currie, Lea; Devlin, Frances A.; Graves, Kathryn

    2008-05-18

    Based on our experience as reference librarians and a review of the literature, it is clear that students are choosing to use Google over library databases when beginning their search for information. Reasons such as ease of access and navigation...

  6. Googling the Top Two: Information Search in Californias Top Two Primary

    E-Print Network [OSTI]

    Sinclair, Betsy; Wray, Michael

    2015-01-01

    more as a consequence of the top two primary. ReferencesAssessing Californias Top-Two Primary and RedistrictingGoogling the Top Two: Information Search in Californias Top

  7. A critical evaluation of the effectiveness of Google Maps: Its application to The Gazetteer for Scotland

    E-Print Network [OSTI]

    Bryce, Alex

    2007-11-24

    Google Maps is the most popular tool for web-mapping on the internet. It has been largely responsible for popularising the use of maps for a wide range of purposes on the web. This essay shall critically analyse the ...

  8. Google your math : sustaining a sociocultural environment through collaborative online participation in algebra

    E-Print Network [OSTI]

    Samaniego, Kimberly Anne OBrien

    2010-01-01

    years of high school math with Algebra 1 being the first andthird year of high school math with Algebra being the firstParticipation in Algebra Google Your Math extends the social

  9. T-574: Google Chrome Multiple Flaws Let Remote Users Execute Arbitrary Code

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergyPlan | Department ofSUPPLEMENTSwitzerland| Department of Energy 4: Google

  10. Template:Incentive Type Page Query | 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

  11. Flying across Galaxy Clusters with Google Earth: additional imagery from SDSS co-added data

    SciTech Connect (OSTI)

    Hao, Jiangang; Annis, James; /Fermilab

    2010-10-01

    Galaxy clusters are spectacular. We provide a Google Earth compatible imagery for the deep co-added images from the Sloan Digital Sky Survey and make it a tool for examing galaxy clusters. Google Earth (in sky mode) provides a highly interactive environment for visualizing the sky. By encoding the galaxy cluster information into a kml/kmz file, one can use Google Earth as a tool for examining galaxy clusters and fly across them freely. However, the resolution of the images provided by Google Earth is not very high. This is partially because the major imagery google earth used is from Sloan Digital Sky Survey (SDSS) (SDSS collaboration 2000) and the resolutions have been reduced to speed up the web transferring. To have higher resolution images, you need to add your own images in a way that Google Earth can understand. The SDSS co-added data are the co-addition of {approx}100 scans of images from SDSS stripe 82 (Annis et al. 2010). It provides the deepest images based on SDSS and reach as deep as about redshift 1.0. Based on the co-added images, we created color images in a way as described by Lupton et al. (2004) and convert the color images to Google Earth compatible images using wcs2kml (Brewer et al. 2007). The images are stored at a public server at Fermi National Accelerator Laboratory and can be accessed by the public. To view those images in Google Earth, you need to download a kmz file, which contains the links to the color images, and then open the kmz file with your Google Earth. To meet different needs for resolutions, we provide three kmz files corresponding to low, medium and high resolution images. We recommend the high resolution one as long as you have a broadband Internet connection, though you should choose to download any of them, depending on your own needs and Internet speed. After you open the downloaded kmz file with Google Earth (in sky mode), it takes about 5 minutes (depending on your Internet connection and the resolution of images you want) to get some initial images loaded. Then, additional images corresponding to the region you are browsing will be loaded automatically. So far, you have access to all the co-added images. But you still do not have the galaxy cluster position information to look at. In order to see the galaxy clusters, you need to download another kmz file that tell Google Earth where to find the galaxy clusters in the co-added data region. We provide a kmz file for a few galaxy clusters in the stripe 82 region and you can download and open it with Google Earth. In the SDSS co-added region (stripe 82 region), the imagery from Google Earth itself is from the Digitized Sky Survey (2007), which is in very poor quality. In Figure1 and Figure2, we show screenshots of a cluster with and without the new co-added imagery in Google Earth. Much more details have been revealed with the deep images.

  12. Oregon Certified Water Right Examiners Query Webpage | 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:QAsource History ViewMayo, Maryland:NPI VenturesNewSt.InformationImprovementsTransmission LinesInformation

  13. Multicolor Maps from Compound Queries | 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 Inc Jump to: navigation,Mereg GmbHMontebalitoMt Princeton Hot

  14. Increasing ask query limit | 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 E LISTStar2-0057-EA JumpDuimen RiverScoringUtilitiesRenovInceisa SA JumpSwarm

  15. T-703: Cisco Unified Communications Manager Open Query Interface Lets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Financing ToolInternational Affairs, Before theFebruary 1,7/109 HistoricalResources46: Debian

  16. Category:Query Results Templates | 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,CammackFLIR Jump to: navigation,GroundNearGeothermalpower.jpgWells

  17. Google lends support to the software behind OpenEI.org | 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 APPENDIXsource History View New Pages RecentPlantMagma EnergyGoogle lends support to the software

  18. An Application of Multivariate Statistical Analysis for Query-Driven Visualization

    SciTech Connect (OSTI)

    Gosink, Luke J.; Garth, Christoph; Anderson, John C.; Bethel, E. Wes; Joy, Kenneth I.

    2010-03-01

    Abstract?Driven by the ability to generate ever-larger, increasingly complex data, there is an urgent need in the scientific community for scalable analysis methods that can rapidly identify salient trends in scientific data. Query-Driven Visualization (QDV) strategies are among the small subset of techniques that can address both large and highly complex datasets. This paper extends the utility of QDV strategies with a statistics-based framework that integrates non-parametric distribution estimation techniques with a new segmentation strategy to visually identify statistically significant trends and features within the solution space of a query. In this framework, query distribution estimates help users to interactively explore their query's solution and visually identify the regions where the combined behavior of constrained variables is most important, statistically, to their inquiry. Our new segmentation strategy extends the distribution estimation analysis by visually conveying the individual importance of each variable to these regions of high statistical significance. We demonstrate the analysis benefits these two strategies provide and show how they may be used to facilitate the refinement of constraints over variables expressed in a user's query. We apply our method to datasets from two different scientific domains to demonstrate its broad applicability.

  19. Analysis of BGP Prefix Origins During Google's May 2005 Outage Tao Wan Paul C. van Oorschot

    E-Print Network [OSTI]

    Van Oorschot, Paul

    Analysis of BGP Prefix Origins During Google's May 2005 Outage Tao Wan Paul C. van Oorschot School- vice outage is BGP. To pursue the latter possibility further, we explore how BGP was functioning during prior to the service outage. As a result, 49.1% of ASes re-advertising routes for 64

  20. Saturday, 15 November 2008Science Centric | RSS feeds Google Custom Search

    E-Print Network [OSTI]

    Espinosa, Horacio D.

    current through... Solar power game-changer: 'Near perfect' absorption of sunlight, from all angles -- [4Saturday, 15 November 2008Science Centric | RSS feeds Google Custom Search HOME NEWS TRAVEL ART patients Dye-coated glass to channel energy into solar cells Intestinal bacteria promote - and prevent

  1. MediaQ on a wearable device: Google Glass !Variety of built-in sensors.

    E-Print Network [OSTI]

    Shahabi, Cyrus

    of immersive videos with geospatial metadata. o Trajectory recording using the paired smartphone GPS sensor. oMediaQ on a wearable device: Google Glass Motivation !Variety of built-in sensors. o HD video, trajectory !Mobile geo-social technologies/applications !Efficient real-time sensors data capturing

  2. Learning Object Categories from Google's Image Search L. Fei-Fei2

    E-Print Network [OSTI]

    Perona, Pietro

    Learning Object Categories from Google's Image Search R. Fergus1 L. Fei-Fei2 P. Perona2 A Institute of Technology Parks Road, Oxford MC 13693, Pasadena OX1 3PJ, U.K. CA 91125, U.S.A. {fergus,az}@robots.ox.ac.uk {feifeili,perona}@vision.caltech.edu Abstract Current approaches to object category recognition require

  3. Prediction of Advertiser Churn for Google AdWords Sangho Yoon Jim Koehler Adam Ghobarah

    E-Print Network [OSTI]

    Cortes, Corinna

    Prediction of Advertiser Churn for Google AdWords Sangho Yoon Jim Koehler Adam Ghobarah AbstractWords. In this work, we first propose a new definition of advertiser churn for AdWords advertisers; second we present advertiser churn; and third we build a model to predict advertiser churn using machine learning algorithms

  4. Enabling Collaborative Data Sharing in Google+ (Technical Report, SEFCOM, March 2012)

    E-Print Network [OSTI]

    Duchowski, Andrew T.

    ,gahn,jan.jorgensen}@asu.edu ABSTRACT Most of existing online social networks, such as Facebook and Twitter, are designed to bias at once. Although Google+ can help mitigate the gap between the individuals' expectations and their actual and become a de facto portal for hundreds of mil- lions of Internet users. Facebook, for example, claims

  5. A Mirror of Our World: Google Earth and the History of Cartography

    E-Print Network [OSTI]

    Allen, David Y.

    2009-08-20

    Google Earth is widely admired as one of the most advanced and powerful products of modern computerized cartography. It has been praised as a revolutionary new way of viewing the earth, as the first convincing attempt at a mirror-world or a...

  6. ESoftCheck: Removal of Non-vital Checks for Fault Google Inc.

    E-Print Network [OSTI]

    Garzarn, Mara Jess

    ESoftCheck: Removal of Non-vital Checks for Fault Tolerance Jing Yu Google Inc. jingyu techniques to determine which are the vital checks, that is, the minimum number of checks that are necessary to detect an error and roll back to a correct program state. ES- oftCheck identifies the vital checks

  7. QuerySpaces on Hadoop for the ATLAS EventIndex

    E-Print Network [OSTI]

    Hrivnac, Julius; The ATLAS collaboration; Cranshaw, Jack; Glasman, Claudia; Favareto, Andrea; Prokoshin, Fedor

    2015-01-01

    Hadoop-based implementation of the adaptive query engine serving as the back-end for the ATLAS EventIndex. The QuerySpaces implementation handles both original data and search results providing fast and efficient mechanisms for new user queries using already accumulated knowledge for optimisation. Detailed description and statistics about user requests are collected in HBase tables and HDFS files. Requests are associated to their results and a graph of relations between them is created to be used to find the most efficient way of providing answers to new requests The environment is completely transparent to users and is accessible over several command-line interfaces, a Web Service and a programming API.

  8. QuerySpaces on Hadoop for the ATLAS EventIndex

    E-Print Network [OSTI]

    Hrivnac, Julius; The ATLAS collaboration; Cranshaw, Jack; Favareto, Andrea; Prokoshin, Fedor; Glasman, Claudia; Toebbicke, Rainer

    2015-01-01

    A Hadoop-based implementation of the adaptive query engine serving as the back-end for the ATLAS EventIndex. The QuerySpaces implementation handles both original data and search results providing fast and efficient mechanisms for new user queries using already accumulated knowledge for optimization. Detailed descriptions and statistics about user requests are collected in HBase tables and HDFS files. Requests are associated to their results and a graph of relations between them is created to be used to find the most efficient way of providing answers to new requests The environment is completely transparent to users and is accessible over several command-line interfaces, a Web Service and a programming API.

  9. A Study of "Churn" in Tweets and Real-Time Search Queries (Extended Version)

    E-Print Network [OSTI]

    Lin, Jimmy

    2012-01-01

    The real-time nature of Twitter means that term distributions in tweets and in search queries change rapidly: the most frequent terms in one hour may look very different from those in the next. Informally, we call this phenomenon "churn". Our interest in analyzing churn stems from the perspective of real-time search. Nearly all ranking functions, machine-learned or otherwise, depend on term statistics such as term frequency, document frequency, as well as query frequencies. In the real-time context, how do we compute these statistics, considering that the underlying distributions change rapidly? In this paper, we present an analysis of tweet and query churn on Twitter, as a first step to answering this question. Analyses reveal interesting insights on the temporal dynamics of term distributions on Twitter and hold implications for the design of search systems.

  10. Query complexity for searching multiple marked states from an unsorted database

    E-Print Network [OSTI]

    Bin Shang

    2006-04-10

    An important and usual problem is to search all states we want from a database with a large number of states. In such, recall is vital. Grover's original quantum search algorithm has been generalized to the case of multiple solutions, but no one has calculated the query complexity in this case. We will use a generalized algorithm with higher precision to solve such a search problem that we should find all marked states and show that the practical query complexity increases with the number of marked states. In the end we will introduce an algorithm for the problem on a ``duality computer'' and show its advantage over other algorithms.

  11. QuPARA: Query-Driven Large-Scale Portfolio Aggregate Risk Analysis on MapReduce

    E-Print Network [OSTI]

    Rau-Chaplin, Andrew

    QuPARA: Query-Driven Large-Scale Portfolio Aggregate Risk Analysis on MapReduce Andrew Rau and reinsurance companies use stochastic simulation techniques for portfolio risk analysis. Their risk portfolios framework for portfolio risk analysis that facilitates answering a rich variety of catastrophic risk queries

  12. Web Intelligence and Agent Systems: An International Journal 0 (2010) 10 1 Selecting Queries from Sample to Crawl

    E-Print Network [OSTI]

    Lu, Jianguo

    2010-01-01

    Queries from Sample to Crawl Deep Web Data Sources Yan Wang a Jianguo Lu a,c Jie Liang a Jessica Chen crawl a deep web data source using a set of sample documents. Crawling deep web is the process of collecting data from search interfaces by issuing queries. One of the major challenges in crawling deep web

  13. DMQL: A Data Mining Query Language for Relational Databases Jiawei Han Yongjian Fu Wei Wang Krzysztof Koperski Osmar Zaiane

    E-Print Network [OSTI]

    Zaiane, Osmar R.

    DMQL: A Data Mining Query Language for Relational Databases Jiawei Han Yongjian Fu Wei Wang@cs.sfu.ca Abstract The emerging data mining tools and systems lead naturally to the demand of a powerful data mining. This motivates us to design a data mining query language, DMQL, for mining di erent kinds of knowledge

  14. DMQL: A Data Mining Query Language for Relational Databases \\Lambda Jiawei Han Yongjian Fu Wei Wang Krzysztof Koperski Osmar Zaiane

    E-Print Network [OSTI]

    Fu, Yongjian

    DMQL: A Data Mining Query Language for Relational Databases \\Lambda Jiawei Han Yongjian Fu Wei Wang@cs.sfu.ca Abstract The emerging data mining tools and systems lead naturally to the demand of a powerful data mining. This motivates us to design a data mining query language, DMQL, for mining different kinds of knowledge

  15. A Study of "Churn" in Tweets and Real-Time Search Queries Jimmy Lin and Gilad Mishne

    E-Print Network [OSTI]

    Daume III, Hal

    A Study of "Churn" in Tweets and Real-Time Search Queries Jimmy Lin and Gilad Mishne Twitter, Inc in the next. Informally, we call this phenomenon "churn". Our interest in analyzing churn stems from that the underlying distributions change rapidly? In this pa- per, we present an analysis of tweet and query churn

  16. Predicting the performance of local seismic networks using Matlab and Google Earth.

    SciTech Connect (OSTI)

    Chael, Eric Paul

    2009-11-01

    We have used Matlab and Google Earth to construct a prototype application for modeling the performance of local seismic networks for monitoring small, contained explosions. Published equations based on refraction experiments provide estimates of peak ground velocities as a function of event distance and charge weight. Matlab routines implement these relations to calculate the amplitudes across a network of stations from sources distributed over a geographic grid. The amplitudes are then compared to ambient noise levels at the stations, and scaled to determine the smallest yield that could be detected at each source location by a specified minimum number of stations. We use Google Earth as the primary user interface, both for positioning the stations of a hypothetical local network, and for displaying the resulting detection threshold contours.

  17. Internet ExplorerFirefoxSafariGoogle Chrome Readerhttp://get.adobe.com/jp/reader/

    E-Print Network [OSTI]

    Web 2014/11/07 201411 #12;1 1. 2. 2-1. 2-2. 3. 4. 5. 6. 6-1. 6-1-1. 6-1-2. 6 50 51 52 58 59 60 64 Web #12;2 WebLAN Web Web Web LAN LAN Web #12;3 Web LAN Web Internet ExplorerFirefoxSafariGoogle Chrome SSLWeb PDFAdobe Readerhttp

  18. Google:[Leonid http://w3.pppl.gov/~zakharov

    E-Print Network [OSTI]

    Zakharov, Leonid E.

    Google:[Leonid Zakharov] # http://w3.pppl.gov/~zakharov LiWall Fusion and its 3 step R&D program70s (``The Bib b le of the 70s'') LiWF # NBI heating/fueling + Lithium Pumping PFC. No cold particles except He. vskip1em Issue LiWF Current BBBL70s concept of ``fusion'' The target RDF (Reactor Dev

  19. Join Us Thursday, Feb. 21 for a Google+ Hangout on the Impact of Open Data

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURING OFFICE INDUSTRIALU.S. DepartmentJean Seibert StuckySolar Industry || Department of

  20. Join Secretary Chu Tomorrow for a Google+ Hangout on America's Growing

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested Parties - WAPA Public CommentInverted Attic9: John Kotek

  1. U-277: Google Chrome Multiple Flaws Let Remote Users Execute Arbitrary Code

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCEDInstallers/ContractorsPhotovoltaicsStateof Energy| Department ofAttacks || Department of

  2. V-109: Google Chrome WebKit Type Confusion Error Lets Remote Users Execute

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematics And Statistics » USAJobs Search USAJobs SearchWater-Saving Projects1:Department5:Arbitrary Code |

  3. How To Setup EHSS Landing Page As Default Home Page For Google Chrome |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuelsof Energy ServicesContracting OversightEMSHomeMicrogrids Work HowMuch

  4. The Energy of Star Wars: A Google+ Hangout | Department of Energy

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

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

  5. Developer | 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 ECoopButtePower VenturesInformation9)ask queries Type Term Title Author Replies Last

  6. Developer | 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 ECoopButtePower VenturesInformation9)ask queries Type Term Title Author Replies

  7. Developer | 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 ECoopButtePower VenturesInformation9)ask queries Type Term Title Author

  8. Developer | 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 ECoopButtePower VenturesInformation9)ask queries Type Term Title

  9. Developer | 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 ECoopButtePower VenturesInformation9)ask queries Type Term

  10. Developer | 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 ECoopButtePower VenturesInformation9)ask queries Type TermGapminder Type Term Title

  11. Developer | 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 ECoopButtePower VenturesInformation9)ask queries Type TermGapminder Type Term

  12. Developer | 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 ECoopButtePower VenturesInformation9)ask queries Type TermGapminder Type TermEZFeed

  13. Developer | 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 ECoopButtePower VenturesInformation9)ask queries Type TermGapminder Type

  14. Developer | 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 ECoopButtePower VenturesInformation9)ask queries Type TermGapminder Typeformatting

  15. Developer | 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 ECoopButtePower VenturesInformation9)ask queries Type TermGapminder

  16. Developer | 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 ECoopButtePower VenturesInformation9)ask queries Type

  17. Running the T&E Expense Report EX_DDR Query in PeopleSoft 8.8 Sign in to PeopleSoft

    E-Print Network [OSTI]

    Barrash, Warren

    Running the T&E Expense Report EX_DDR Query in PeopleSoft 8.8 Sign and Reports. #12;EX_DDR Query _ 02/10 Page 2 Notice that you now have may use either menu in navigating to the EX_DDR report query. If using

  18. Evaluating the LWT-MAC Performance in Query-Driven WSNs Using Data-Centric

    E-Print Network [OSTI]

    Bellalta, Boris

    Evaluating the LWT-MAC Performance in Query-Driven WSNs Using Data-Centric Routing Anna Fabra, c/ Roc Boronat 138, 08018, Barcelona, Spain anna.sfairopoulou@upf.edu Abstract. Data-centric interactions. An example of data-centric rout- ing protocol is Directed Diffusion, in which sinks disseminate

  19. Hop Doubling Label Indexing for Point-to-Point Distance Querying on Scale-Free Networks

    E-Print Network [OSTI]

    Wong, Raymond Chi-Wing

    , 20, 30, 33, 34] can only handle relatively small graphs due to high index construction cost and large, in terms of both querying time and indexing costs. Our empirical study shows that our method can handle unweighted scale-free graph G = (V, E), construct a disk-based index for processing This work is licensed

  20. Query Based UML Modeling Validation and Verification of the System Model and

    E-Print Network [OSTI]

    Austin, Mark

    1 Query Based UML Modeling Validation and Verification of the System Model and Behavior. UML/SysML was designed to provide simple but powerful constructs for modeling a wide range of systems for a Hydraulic Crane Denny Mathew ENPM 643 System Validation and Verification Instructor: Dr. Mark Austin Fall

  1. A Note on Query Order: Solving the Missing Case Harald Hempel \\Lambda

    E-Print Network [OSTI]

    . This solves a problem left open by previous papers in that area [HHH98a, BC]. Our results shed new light to cases that already have been considered in the literature, [HHH98a, BC], the query rounds can in the polynomial hierarchy has been studied for the first time by Hemaspaandra, Hemaspaandra, and Hempel [HHH98a

  2. Supporting Bioinformatic Experiments with A Service Query Engine Xuan Zhou Shiping Chen Athman Bouguettaya Kai Xu

    E-Print Network [OSTI]

    Xu, Kai "Kevin"

    is part of an all-encompassing system that manages the end-to-end life-cycle of services, called Web Management System (WSMS) [9]. WSMS is an all-encompassing platform that manages the end-to-end life-cycle bioinformatic experiments through service queries. We describe a real life implementation of the proposed

  3. Back to the Roots: A Probabilistic Framework for Query-Performance Prediction

    E-Print Network [OSTI]

    Kurland, Oren

    Back to the Roots: A Probabilistic Framework for Query-Performance Prediction Oren Kurland1 kurland substan- tially in their basic principles, and rely on diverse hypotheses about the characteristics with a basic question that has not been explicitly addressed in

  4. Graphical Interfaces for Racer: Querying DAML+OIL and RDF documents

    E-Print Network [OSTI]

    Haarslev, Volker

    Graphical Interfaces for Racer: Querying DAML+OIL and RDF documents Ralf Moller , Ronald Cornet , and Volker Haarslev University of Applied Sciences, Wedel Academic Medical Center University application for interacting with the description logic inference server Racer. Comparing RICE with OilEd, we

  5. Optimizing Data Replication for Expanding Ring-based Queries in Wireless Sensor

    E-Print Network [OSTI]

    Krishnamachari, Bhaskar

    Optimizing Data Replication for Expanding Ring-based Queries in Wireless Sensor Networks Bhaskar. The former approach is exemplified by hash- based data centric storage techniques such as GHT [2], DIM [3 Krishnamachari and Joon Ahn Department of Electrical Engineering University of Southern California Los Angeles

  6. MQuery: A Visual Query Language for Multimedia, Timeline, and Simulation Data

    E-Print Network [OSTI]

    California at Los Angeles, University of

    MQuery: A Visual Query Language for Multimedia, Timeline, and Simulation Data John David N. Dionisio Alfonso F. C'ardenas Computer Science Department University of California, Los Angeles July 25 of California, Los Angeles Los Angeles, CA 90024 U.S.A. Phone: (310) 8257550 Fax: (310) 8252273 e

  7. MQuery: A Visual Query Language for Multimedia, Timeline, and Simulation Data

    E-Print Network [OSTI]

    California at Los Angeles, University of

    MQuery: A Visual Query Language for Multimedia, Timeline, and Simulation Data John David N. Dionisio Alfonso F. Cardenas Computer Science Department University of California, Los Angeles July 25 of California, Los Angeles Los Angeles, CA 90024 U.S.A. Phone: (310) 825-7550 Fax: (310) 825-2273 e

  8. An Incremental Refining Spatial Join Algorithm for Estimating Query Results in GIS

    E-Print Network [OSTI]

    Leutenegger, Scott T.

    An Incremental Refining Spatial Join Algorithm for Estimating Query Results in GIS Wan D. Bae systems (GIS) must support large georeferenced data sets. Due to the size of these data sets finding ex this is the first work using this approach in GIS. We investigate different sampling method- ologies and evaluate

  9. 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

  10. TS-IDS Algorithm For Query Selection in the Deep Web Crawling

    E-Print Network [OSTI]

    Lu, Jianguo

    TS-IDS Algorithm For Query Selection in the Deep Web Crawling Yan Wang1 , Jianguo Lu2 , and Jessica. The deep web crawling is the process of collecting data items inside a data source hidden behind searchable of documents and terms involved, calls for new approximation algorithms for efficient deep web data crawling

  11. Guest Editorial: Special Section on Query Models and Efficient Selection of Web Services

    E-Print Network [OSTI]

    Yu, Qi

    Guest Editorial: Special Section on Query Models and Efficient Selection of Web Services Qi Yu services are poised to take center stage as part of this adoption [4]. The ever-increasing number of web services will have the effect of transforming the web from a data-oriented repository to a service

  12. The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon Query Processing on GPUs

    E-Print Network [OSTI]

    Ailamaki, Anastassia

    The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon Databases Query Processing on GPUs The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon Databases CPU vs. GPU CPU (3 GHz) System Memory MB) GPU (690 MHz) 2 x 1 MB Cache The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon

  13. The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon Query co-Processing on

    E-Print Network [OSTI]

    Ailamaki, Anastassia

    The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon Databases Query co University of North Carolina at Chapel Hill #12;The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL Superscalar Out-of-order SMT Performance *graph courtesy of Rakesh Kumar #12;The UNIVERSITY of NORTH CAROLINA

  14. The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon Query co-Processing on

    E-Print Network [OSTI]

    Ailamaki, Anastassia

    The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon Databases Query co University of North Carolina at Chapel Hill The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon Out-of-order SMT Performance *graph courtesy of Rakesh Kumar #12;The UNIVERSITY of NORTH CAROLINA

  15. The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon Query co-Processing on

    E-Print Network [OSTI]

    Ailamaki, Anastassia

    The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon Databases Query co University of North Carolina at Chapel Hill The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon Out-of-order SMT Performance *graph courtesy of Rakesh Kumar The UNIVERSITY of NORTH CAROLINA

  16. The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon Query Processing on GPUs

    E-Print Network [OSTI]

    Ailamaki, Anastassia

    The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon Databases Query Processing on GPUs The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon Databases CPU vs. GPU CPU (3 GHz) System Memory MB) GPU (690 MHz) 2 x 1 MB Cache #12;The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon

  17. The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon Query co-Processing on

    E-Print Network [OSTI]

    The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon Databases Query co University of North Carolina at Chapel Hill Stavros Harizopoulos MIT #12;The UNIVERSITY of NORTH CAROLINA of Rakesh Kumar #12;The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon Databases A. Ailamaki

  18. The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon Query Processing on GPUs

    E-Print Network [OSTI]

    Ailamaki, Anastassia

    The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon Databases Query Processing on GPUs UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon Databases CPU vs. GPU CPU (3 GHz) System Memory MB) GPU (690 MHz) 2 x 1 MB Cache #12;The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL@Carnegie Mellon

  19. On Security of RASP Data Perturbation for Secure Half-Space Queries in the Cloud

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    On Security of RASP Data Perturbation for Secure Half-Space Queries in the Cloud ABSTRACT Secure data intensive computing in the cloud is challenging, in- volving a complicated tradeoff among security owners will not be likely to use public clouds to process their sensitive data. Secure computation

  20. Selective Dissemination of Information in P2P Systems: Data Models, Query Languages, Algorithms and

    E-Print Network [OSTI]

    Tryfonopoulos, Christos

    Selective Dissemination of Information in P2P Systems: Data Models, Query Languages, Algorithms,manolis}@intelligence.tuc.gr http://www.intelligence.tuc.gr Technical Report TR-ISL-02-2003 1 #12;Abstract Much information of interest to humans is today available on the Web. People can easily gain access to information

  1. Continuous Multi-dimensional Top-k Query Processing in Sensor Networks

    E-Print Network [OSTI]

    University of Science and Technology, China 2 Department of Computing, Hong Kong Polytechnic University, HK 3 NEC Laboratories America, Princeton, NJ 08540 4 Shenzhen Institute of Advanced Technology, Chinese of users searching information directly into the physical world, many new challenges arise for top-k query

  2. Constant Time Queries for Energy Efficient Paths in Multi-Hop Wireless Networks

    E-Print Network [OSTI]

    Matijevic, Domagoj

    Constant Time Queries for Energy Efficient Paths in Multi-Hop Wireless Networks Stefan Funke stations in such a way that approximately energy optimal paths can be retrieved in constant time, i. Keywords: Ad-Hoc and Sensor Networks, Routing, Power Control, Wireless LANs I. INTRODUCTION Ad hoc radio

  3. Query-driven Analysis of Plasma-based Particle Acceleration Data Oliver Rubel

    E-Print Network [OSTI]

    Query-driven Analysis of Plasma-based Particle Acceleration Data Oliver Rubel LBNL Cameron G. R Laboratory, e-mail: {oruebel, ewbethel}@lbl.gov Laser, Optical Accelerator System Integrated Studies (LOASIS INTRODUCTION Plasma-based particle accelerators utilize an electron plasma wave driven by a short ( 100 fs

  4. Scalable Architecture and Query Optimization for Transaction-time DBs with Evolving Schemas

    E-Print Network [OSTI]

    Zaniolo, Carlo

    UCLA zaniolo@cs.ucla.edu ABSTRACT The problem of archiving and querying the history of a database- tional technology and attribute-level-timestamping of the history of the database content, (ii) suitable is easily deployed by plugging into existing DBMS replication technologies, leading to very low overhead

  5. Decentralizing Query Processing in Sensor Networks Ross Rosemark, Wang-Chien Lee

    E-Print Network [OSTI]

    Lee, Wang-Chien

    this approach, the access point must first collect metadata from all nodes within the sensor network requir- 1 by utilizing the metadata collected from the sensor network. Such a centralized approach disallows two setsDecentralizing Query Processing in Sensor Networks Ross Rosemark, Wang-Chien Lee Department

  6. A Data Mining Query Language for Knowledge Discovery in a Geographical Information System

    E-Print Network [OSTI]

    Malerba, Donato

    ). INGENS (INductive GEographic iNformation System) is a prototype GIS which integrates data mining tools language used in INGENS, whose design is based on the standard OQL (Object Query Language). Currently georeferenced data, can be used in topographic map interpretation tasks. A prototype of GIS, named INGENS [19

  7. Quete: Ontology-Based Query System for Distributed Sources Haridimos Kondylakis1,2

    E-Print Network [OSTI]

    Analyti, Anastasia

    of information sources. Our contribution is a system that provides a flexible ap- proach for integrating interconnection of diverse and large numbers of information sources. In order to provide uniform accessQuete: Ontology-Based Query System for Distributed Sources Haridimos Kondylakis1,2 , Anastasia

  8. Data Locality-Aware Query Evaluation for Big Data Analytics in Distributed Clouds

    E-Print Network [OSTI]

    Liang, Weifa

    Data Locality-Aware Query Evaluation for Big Data Analytics in Distributed Clouds Qiufen Xia, Weifa. Such data referred to as big data now becomes an invaluable asset to many businesses or organizations, as it can be used to identify business advantages by helping them make their strategic decisions. Big data

  9. Information Theoretic Bounds on Authentication Systems in Query Reihaneh Safavi-Naini Peter Wild

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    Information Theoretic Bounds on Authentication Systems in Query Model Reihaneh Safavi-Naini Peter Wild School of IT and CS Information Security Group University of Wollongong Royal Holloway University Authentication codes provide message integrity guarantees in an information theoretic sense within a symmetric

  10. Information Theoretic Bounds on Authentication Systems in Query Reihaneh SafaviNaini Peter Wild

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    Information Theoretic Bounds on Authentication Systems in Query Model Reihaneh SafaviNaini Peter Wild School of IT and CS Information Security Group University of Wollongong Royal Holloway University Authentication codes provide message integrity guarantees in an information theoretic sense within a symmetric

  11. A lattice-based query system for assessing the quality of hydro-ecosystems

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    A lattice-based query system for assessing the quality of hydro-ecosystems Agn`es Braud1 Cristina used for building a hierarchy of site pro- files which are annotated by hydro in the project. This paper presents an application of Galois lattices to the hydro-ecological domain, focussing

  12. Regular Paths in SparQL: Querying the NCI Thesaurus Landon T. Detwiler1

    E-Print Network [OSTI]

    Washington at Seattle, University of

    Regular Paths in SparQL: Querying the NCI Thesaurus Landon T. Detwiler1 , Dan Suciu, PhD3 , James F can create views of the OWL version of the NCI Thesaurus that match the views generated by the web the matched triples. Some examples of triples from the National Cancer Institute (NCI) Thesaurus that would

  13. AutoCor: A Query Based Automatic Acquisition of Corpora of Closely-related Languages *

    E-Print Network [OSTI]

    Builder are actually documents in other closely-related Philippine languages. AutoCor used the query generation method of closely-related Philippine languages and Tagalog. The performance of the system using with and without) like Tagalog and other Philippine languages. Unfortunately, to manually collect and organize a language

  14. Connected Sensor Cover: Self-Organization of Sensor Networks for Efficient Query Execution1

    E-Print Network [OSTI]

    Gupta, Himanshu

    . Finally, we evaluate the distributed al- gorithms using simulations and show that our approaches results-level sensing tasks in a collaborative fashion, and is periodically queried by an external source to report a summary of the sensed data/tasks. For example, a large number of sensors can be scattered in a battlefield

  15. Remote sensing image segmentation by active queries Devis Tuia a,n

    E-Print Network [OSTI]

    Camps-Valls, Gustavo

    Remote sensing image segmentation by active queries Devis Tuia a,n , Jordi Mun~oz-Mari b , Gustavo Multiscale image segmentation Remote sensing Hyperspectral imagery Multispectral imagery a b s t r a c- istics in a compact way. For remote sensing image segmentation, the selected samples are the most

  16. Dynamical Spot Queries to Improve Specificity in P450s based Multi-Drugs Monitoring

    E-Print Network [OSTI]

    De Micheli, Giovanni

    Dynamical Spot Queries to Improve Specificity in P450s based Multi-Drugs Monitoring Sandro Carrara accurate and frequent monitoring of drugs metabolic response in living organisms during drug treatments monitoring of the patient's drug metabolism is essential as the metabolic pathways efficacy is highly

  17. People Search within an Online Social Network: Large Scale Analysis of Facebook Graph Search Query Logs

    E-Print Network [OSTI]

    Karahalios, Karrie G.

    People Search within an Online Social Network: Large Scale Analysis of Facebook Graph Search Query and Facebook2 , Menlo Park, CA 94025 {spirin2,kkarahal}@illinois.edu and {jfh,miked,maxime}@fb.com ABSTRACT Facebook in- troduced its innovative Graph Search product with the goal to take the OSN search experience

  18. Mining Association Rules of Simple Conjunctive Queries Bart Goethals Wim Le Page

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    Mining Association Rules of Simple Conjunctive Queries Bart Goethals Wim Le Page University of Antwerp, Belgium Heikki Mannila HIIT, Helsinki University of Technology University of Helsinki Abstract We present an algorithm for mining association rules in ar- bitrary relational databases. We define

  19. Don't Click Paint! Applying the Painting Metaphor to Query Interfaces and

    E-Print Network [OSTI]

    Baudisch, Patrick

    1 Don't Click Paint! Applying the Painting Metaphor to Query Interfaces and Personalization techniques from paint programs can be adopted for manipulating toggle switches. A controlled experiment shows that painting can significantly speed up interfaces containing many toggle switches. To maximize time savings

  20. Autonomic Query Parallelization using Non-dedicated Computers: An Evaluation of

    E-Print Network [OSTI]

    Paton, Norman

    Autonomic Query Parallelization using Non-dedicated Computers: An Evaluation of Adaptivity Options parallel programs that can take advantage of non-dedicated processors is much more difficult than writing such programs for networks of dedicated processors. In a non-dedicated environment such programs must use

  1. Data Stream Query Optimization Across System Boundaries of Server and Sensor Network

    E-Print Network [OSTI]

    Lindner, Wolfgang

    (SNs). Such networks may consist of small battery-powered motes with possibly lossy wireless of the motes. This paper fo- cusses on such SNs of battery-powered motes. SNQPs act as a natural data source The Borealis system [11] uses the box-and-arrow paradigm to specify the data flow. A box represents a query

  2. Google's looking smarter about advanced metering than long-laboring utilities

    SciTech Connect (OSTI)

    2009-07-15

    In late May, Google announced a partnership with eight utilities in six states in the U.S. plus Canada and India to enable roughly 10 million customers to 'access detailed information on their home energy use.' What is different about the new product is that consumers can view simple graphical displays of their power usage more or less in real time from anywhere there is access to the Internet. That may ultimately turn PowerMeter into a powerful tool to manage electricity consumption on truly large scale and at very low cost.

  3. Energy Secretary Steven Chu to host DOE's first google hangout at 2 EST |

    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 LISTStar2-0057-EA Jump to:of theClimateElgin,WindMap: Clean EnergyEnergySavingOpenEI

  4. Secretary Chu Announces New Funding and Partnership with Google to Promote

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Financing Tool FitsProjectData DashboardSolar »Conference |Electric,EmergencyResearchElectric

  5. Find Your STEM Role Model: Join Our Google+ Hangout On March 5 | Department

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12, 2015Executive Order14,EnergyFinancing and Investing in TribalFindof

  6. Adaptive information filtering through automatic Boolean query generation

    E-Print Network [OSTI]

    Nichols, Michael Roddy

    1998-01-01

    The subject of this thesis is the development and graphics. testing of a new algorithm for intelligently altering information content on the World Wide Web and in other similar domains. The approach described in this thesis is a hybrid algorithm...

  7. Database System Architecture Supporting Coexisting Query Languages and Data Models

    E-Print Network [OSTI]

    Hepp, Pedro E.

    1983-01-01

    Database technology is already recognised and increasingly used in administering and organising large bodies of data and as an aid in developing software. This thesis considers the applicability of this technology in ...

  8. Model-Based Query Systems for Emergency Response

    E-Print Network [OSTI]

    Potter, Stephen; Wickler, Gerhard

    2008-01-01

    In this paper we describe the approach adopted and experiences gained during a project to develop a general architecture that aims to harness advanced sensor, modelling and Grid technologies to assist emergency responders ...

  9. Coordination through Querying in the Youtopia System [Demonstration paper

    E-Print Network [OSTI]

    first attempt at implementing this vision. Youtopia provides coordination abstractions within the DBMS 1. INTRODUCTION In the long history of humankind (and animal kind, too) those who learned the DBMS, freeing the developers of the travel website from the burden of implementing it in the middle

  10. Rules and Queries with Ontologies: a Unified Logical Framework

    E-Print Network [OSTI]

    Franconi, Enrico

    languages. The focus of this paper is in the context of Semantic Web (SW), but the approach can be applied its efforts on the design of the so called Ontology Layer. Nowadays, this layer is fairly mature- mendations. One of the key features of SW ontology languages development is the atten- tion

  11. Google Android: A State-of-the-Art Review of Security Mechanisms

    E-Print Network [OSTI]

    Shabtai, A; Kanonov, U; Elovici, Y; Dolev, S

    2009-01-01

    Google's Android is a comprehensive software framework for mobile communication devices (i.e., smartphones, PDAs). The Android framework includes an operating system, middleware and a set of key applications. The incorporation of integrated access services to the Internet on such mobile devices, however, increases their exposure to damages inflicted by various types of malware. This paper provides a comprehensive security assessment of the Android framework and the security mechanisms incorporated into it. A methodological qualitative risk analysis that we conducted identifies the high-risk threats to the framework and any potential danger to information or to the system resulting from vulnerabilities that have been uncovered and exploited. Our review of current academic and commercial solutions in the area of smartphone security yields a list of applied and recommended defense mechanisms for hardening mobile devices in general and the Android in particular. Lastly, we present five major (high-risk) threats t...

  12. Metabolomic database annotations via query of elemental compositions: Mass accuracy is insufficient even at less than 1 ppm

    E-Print Network [OSTI]

    Kind, T; Fiehn, O

    2006-01-01

    and retention time index database gener- ated from plant GC/MC: Comparison of the NCI open database with seven largeOpen Access Metabolomic database annotations via query of

  13. ISIS Assistant 9.0 | ADD YOUR SCHEDULE TO YOUR GOOGLE CALENDAR Edited | 05.16.12

    E-Print Network [OSTI]

    Capogna, Luca

    ISIS Assistant 9.0 | ADD YOUR SCHEDULE TO YOUR GOOGLE CALENDAR Edited | 05.16.12 ISIS Assistant Add from your ISIS Student Center or Faculty Center to your Google Calendar. Save the iCal file type calendar. Download Your Calendar from ISIS 1. Click the button on your Student Center. 2. Select Save

  14. Inteligncia Artificial Gigantes tecnolgicos como a Google e o Facebook apostam tudo na criao de programas que consigam aprender, conversar

    E-Print Network [OSTI]

    Instituto de Sistemas e Robotica

    Inteligncia Artificial Gigantes tecnolgicos como a Google e o Facebook apostam tudo na criao de tecnolgica. Mas est longe de ser a nica em marcha. Grandes potn- cias como a Google e o Facebook esto utilizado- res um ano aps o lanamento." O gigante Facebook tambm tem me- tas ambiciosas nesta rea

  15. Constraint Extraction from SQL-queries Toon Calders, Bart Goethals, and Adriana Prado

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    of Antwerp, Belgium {toon.calders, bart.goethals, adriana.prado}@ua.ac.be 1 Technical details For extracting the constraints of a given SQL-mining query, we annotate every node of a corresponding relational algebra tree is the set of virtual mining views [1] with the constraints for n {V1[1], V2[2], . . . , Vm[m]}, and O a set

  16. Apple and the Apple logo are trademarks of Apple Inc., registered in the U.S. and other countries. App Store is a service mark of Apple Inc. | Android and Google Play are trademarks of Google Inc. *The downloading and use of the myCigna Mobile App is subj

    E-Print Network [OSTI]

    . App Store is a service mark of Apple Inc. | Android and Google Play are trademarks of Google Inc. *The

  17. Policy driven development : SOA evolvability through late binding

    E-Print Network [OSTI]

    Demchak, Barry

    2013-01-01

    System SoS System of Systems SQL Structured Query Languagetechnique. Structured Query Language (SQL) StructuredQuery Language (SQL) is a declarative language suited to the

  18. Home Biology Medicine Technology Products News Definition Dictionary Movies Links Tags Search RSS Whole Site Google Search

    E-Print Network [OSTI]

    Espinosa, Horacio D.

    Home Biology Medicine Technology Products News Definition Dictionary Movies Links Tags Search RSS Whole Site Google Search Navigation Links Biology News Medicine News Biology Products Medicine Products Biology Definition Medicine Definition Biology Technology Medicine Technology Biology Dictionary Medicine

  19. Journal of Computing, Volume 2, Issue 6, June 2010, ISSN 2151-9617 HTTPS://SITES.GOOGLE.COM/SITE/JOURNALOFCOMPUTING/

    E-Print Network [OSTI]

    Journal of Computing, Volume 2, Issue 6, June 2010, ISSN 2151-9617 HTTPS://SITES.GOOGLE.COM/SITE/JOURNALOFCOMPUTING/ WWW.JOURNALOFCOMPUTING.ORG 166 The State of the Art: Ontology Web- Based Languages: XML Based Mohammad

  20. Development Development

    E-Print Network [OSTI]

    Programme 2007 - 2010 The aim of the Timber Development Programme (TDP) is "to contribute to the sustainable development to underpin sustainable forest management and support economic growth and employment acrossDevelopment Timber Development Programme 2007 - 2010 #12;2 | Timber Development Programme 2007

  1. Impostazioni Google Apps con client Mail di Apple Mac per l'account di fantasia pinco.panco@uniroma1.it

    E-Print Network [OSTI]

    Di Pillo, Gianni

    Impostazioni Google Apps con client Mail di Apple Mac per l'account di fantasia pinco è ospitato sui server google.com) #12;Impostazioni Google Apps con client Mail di Apple Mac per l Google Apps con client Mail di Apple Mac per l'account di fantasia pinco.panco@uniroma1.it Pag. 3

  2. Computer systems and methods for the query and visualization of multidimensional database

    DOE Patents [OSTI]

    Stolte, Chris; Tang, Diane L.; Hanrahan, Patrick

    2010-05-11

    A method and system for producing graphics. A hierarchical structure of a database is determined. A visual table, comprising a plurality of panes, is constructed by providing a specification that is in a language based on the hierarchical structure of the database. In some cases, this language can include fields that are in the database schema. The database is queried to retrieve a set of tuples in accordance with the specification. A subset of the set of tuples is associated with a pane in the plurality of panes.

  3. Computer systems and methods for the query and visualization of multidimensional databases

    DOE Patents [OSTI]

    Stolte, Chris; Tang, Diane L.; Hanrahan, Patrick

    2006-08-08

    A method and system for producing graphics. A hierarchical structure of a database is determined. A visual table, comprising a plurality of panes, is constructed by providing a specification that is in a language based on the hierarchical structure of the database. In some cases, this language can include fields that are in the database schema. The database is queried to retrieve a set of tuples in accordance with the specification. A subset of the set of tuples is associated with a pane in the plurality of panes.

  4. A Query-based System for Automatic Invocation of Web Services Chaitali Gupta, Rajdeep Bhowmik, Michael R. Head, Madhusudhan Govindaraju, Weiyi Meng

    E-Print Network [OSTI]

    Meng, Weiyi

    A Query-based System for Automatic Invocation of Web Services Chaitali Gupta, Rajdeep Bhowmik of XML based Web services specifications and toolkits, and provide an elegant, intuitive, simple, and powerful query based invocation system to end users. Web services based tools and standards have been

  5. Effective March 26, 2012, "Order History" in Marketplace will be replaced with "Order Query" a faster, easier way to lookup past order information.

    E-Print Network [OSTI]

    California at San Diego, University of

    Orders or Invoices. 2. What are you searching for? Enter key terms like Requisition/PO Numbers criteria entered. Filter query criteria after search is performed. In addition to the extensive Advanced, a Supplier name or a Catalog number Hint: Click "Query" for a complete list of available search terms. 3

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

    E-Print Network [OSTI]

    Li, Chengkai

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

  7. Anshuman Razdan Page 1 1/7/2002 A 3D Digital Library System: Capture, Analysis, Query, and Display

    E-Print Network [OSTI]

    Anshuman Razdan Page 1 1/7/2002 A 3D Digital Library System: Capture, Analysis, Query, and Display and results provide a model for a Digital Library of 3D data for further study and analysis. The initial focus to permit users to interact with the data using sketches or by selecting sample vessel shapes to augment

  8. Energy-efficient Search for Finite-lifetime Resources in Sensor Networks with Time-constrained Queries

    E-Print Network [OSTI]

    Kharoufeh, Jeffrey P.

    Energy-efficient Search for Finite-lifetime Resources in Sensor Networks with Time to the originating node prior to the expiration of a specific deadline. From the per- spective of energy efficiency networks when resources are subject to limited lifetimes and queries are constrained by application

  9. Probabilistic Inductive Querying Using ProbLog Luc De Raedt, Angelika Kimmig, Bernd Gutmann, Kristian Kersting, Vitor Santos

    E-Print Network [OSTI]

    Toivonen, Hannu

    be applied to the mining of large biological networks. 10.1 Introduction In recent years, both probabilistic integration of data mining primitives in database query languages. Despite the current interest in these types of Computer Science Katholieke Universiteit Leuven, Belgium e-mail: {firstname

  10. NSF Awards Millions For Cloud Computing CLuE awards promote academic use o cluster computing resources on IBM/Google

    E-Print Network [OSTI]

    Freire, Juliana

    computing resources on IBM/Google cloud Today, the National Science Foundation (NSF) announced it has to participate in the IBM/Google Cloud Computing University Initiative. The initiative will provide the computing, and pursue the limits of the World Wide Web. In 2007, IBM and Google announced a joint university initiative

  11. Google Maths Philip Knight

    E-Print Network [OSTI]

    Mottram, Nigel

    and Googleplex Web as a graph Link Analysis Search 3.0, 4.0, 5.0, . . . 1 #12;History Archie (1990), Veronica and Jughead (1993) WWW Wanderer, ALIWEB(1993) WWW Worm, JumpStation, RBSE (1993) Web. Properly ordered results. 4 #12;Web As A Graph Think of web as a collection of vertices and edges

  12. A Google for Materials

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.TheoryTuesday, August 10, 20102016 News Below are4BElectron---neutrinoAAA G E NA

  13. Google Earth Gallery

    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 HABFESOpportunitiesNERSC Getting Started at14 atGolden

  14. Introduction To Google

    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 likeUniverseIMPACT EVALUATIONIntroducing the Richard P. Feynman Center to TotalView To

  15. Google Earth Tour: Contaminants

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journalvivo Low-Dose Low LETUsefulJorge Gardea-Torresdey,GoodofDOE L

  16. Division of Energy and Mineral Development | 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 ECoopButtePower VenturesInformation9)ask queriesWindSite AnalysisDivision of Energy

  17. Division of Indian Energy Policy Development | 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 ECoopButtePower VenturesInformation9)ask queriesWindSite AnalysisDivision of

  18. SmartScan: Efficient Metadata Crawl for Storage Management Metadata Querying in Large File Systems

    E-Print Network [OSTI]

    Scan on production file systems show that exploiting metadata change patterns can reduce the time needed to refresh and companies of the PDL Consortium (including APC, EMC, Facebook, Google, Hewlett-Packard, Hitachi, IBM, Intel management, charge-back, and provisioning decisions. Unlike desktop search, which is designed to assist users

  19. arXiv:1410.4801v1[cs.LO]17Oct2014 Percentile Queries in Multi-Dimensional Markov Decision

    E-Print Network [OSTI]

    Doyen, Laurent

    , at the same time, minimizes the energy consumption of the system. Second, there are works that aim within d time units exceeds 50 #12;percent: this is a single-constraint percentile query. With a multi

  20. The clouds of physics and Einstein's last query: Can quantum mechanics be derived from general relativity?

    E-Print Network [OSTI]

    Friedwardt Winterberg

    2008-05-20

    Towards the end of the 19th century, Kelvin pronounced as the "clouds of physics" 1) the failure of the Michelson-Morely experiment to detect an ether wind, 2) the violation of the classical mechanical equipartition theorem in statistical thermodynamics. And he believed that the removal of these clouds would bring physics to an end. But as we know, the removal of these clouds led to the two great breakthoughts of modern physics: 1) The theory of relativity, and 2) to quantum mechanics. Towards the end of the 20th century more clouds of physics became apparent. They are 1) the riddle of quantum gravity, 2) the superluminal quantum correlations, 3) the small cosmological constant. Furthermore, there is the riddle of dark energy making up 70% of the physical universe, the non-baryonic cold dark matter making up 26% and the very small initial entropy of the universe. An attempt is made to explain the importance of these clouds for the future of physics. Conjectures for a possible solution are presented. they have to do with Einstein's last query: "Can quantum mechanics be derived general relativity", and with the question is there an ether?

  1. The authors review a log of billions of Web queries that constituted the total query traffic for a 6-month period of

    E-Print Network [OSTI]

    change over time is critical to developing effective, efficientWeb search services.TheWeb is a dynamic

  2. arXiv:1002.4583v2[cond-mat.dis-nn]1May2010 Towards Google matrix of brain

    E-Print Network [OSTI]

    Shepelyansky, Dima

    arXiv:1002.4583v2[cond-mat.dis-nn]1May2010 Towards Google matrix of brain D.L.Shepelyansky1, 2 networks. The Google matrix G is constructed on the basis of neuronal network of a brain model discussed John von Neumann traced first parallels between architecture of the computer and the brain [1]. Since

  3. http://www.nanowerk.com/news/newsid=6934.php Ads by Google MEMS Design Tata Nano Nano Devices iTrip Nano Nano Optic

    E-Print Network [OSTI]

    Sridhar, Srinivas

    http://www.nanowerk.com/news/newsid=6934.php Ads by Google MEMS Design Tata Nano Nano Devices i generation of combined optical and electronic platforms essential for future computers," added Sridhar-2802 or via email at j.eriksen@neu.edu. Ads by Google MEMS Design Tata Nano Nano Devices iTrip Nano Nano Optic

  4. Signing Me onto Your Accounts through Facebook and Google: a Traffic-Guided Security Study of Commercially Deployed Single-Sign-On Web Services

    E-Print Network [OSTI]

    Wang, XiaoFeng

    1 Signing Me onto Your Accounts through Facebook and Google: a Traffic-Guided Security Study "field study" on popular web SSO systems. Our approach is to mechanically analyze the actual web traffic, such as OpenID (including Google ID and PayPal Access), Facebook, JanRain, Freelancer, FarmVille, Sears

  5. U-038: BIND 9 Resolver crashes after logging an error in query.c |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCEDInstallers/ContractorsPhotovoltaicsStateof Energy TwoEvent at the Pu2: AppleGainDepartment of

  6. 92 Published by the IEEE Computer Society 1089-7801/10/$26.00 2010 IEEE IEEE INTERNET COMPUTING s Google the new "evil empire?" Microsoft

    E-Print Network [OSTI]

    Petrie, Charles

    the line somewhere south of illegal child porn, so it's not all bad. But, of course, that's not -- for us is considered evil in this sense. And Google allows porn advertise- ments1 -- so it's evil. Presumably, it draws

  7. Voice Search for Development Etienne Barnard1

    E-Print Network [OSTI]

    Cortes, Corinna

    of the challenges that must be over- come in order to develop high-impact speech systems in the de- veloping world Google Research, New York, NY, USA ebarnard@csir.co.za, johans@google.com, cvheerden@csir.co.za, pedro world, there is a widespread belief that speech technology can play a significant role in improv- ing

  8. Home Red Hot Sex Movies GlamTalk BookWorm Idiot Box Art & Theatre Celebrity Music Body & Soul Recipes Exclusive Photos Videos And More ... Search Search Here Spicezee Google RSS | On Zee News | Make Homepage | Blog Other Zee sites

    E-Print Network [OSTI]

    Rankin, Daniel

    Recipes Exclusive Photos Videos And More ... Search Search Here Spicezee Google RSS | On Zee News | Make

  9. Following is a collection of web links that provide information on Microsoft Access, Structured Query Language (SQL), and databases in general. This list does not serve as an endorsement of

    E-Print Network [OSTI]

    Query Language (SQL), and databases in general. This list does not serve as an endorsement of any&Go.y=0&Go=Go Structured Query Language (SQL) Links SQLCourse Interactive Online SQL Training for Beginners http://sqlcourse.com/ "This unique introductory SQL tutorial not only provides easy

  10. Dixie Valley - Geothermal Development in the Basin and Range | 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 VenturesInformation9)ask queriesWindSite

  11. Xerox Palo Alto Research Center Technical Report P2001-10113, May 2001. Revised July 25, 2001. Scalable Information-Driven Sensor Querying and Routing for ad hoc

    E-Print Network [OSTI]

    Zhao, Feng

    battery power, frequent node attrition, and variable data and communication quality. To scale up, California 94304, U.S.A. Abstract This paper describes two novel techniques, information-driven sensor that the information-driven querying and routing techniques are more energy efficient, have lower detection latency

  12. arXiv:1109.2425v1[cs.DC]12Sep2011 Query processing in distributed, taxonomy-based information

    E-Print Network [OSTI]

    Analyti, Anastasia

    to a local vocabulary. The objects may be a category of commercial items, such as cars, and a source mayarXiv:1109.2425v1[cs.DC]12Sep2011 Query processing in distributed, taxonomy-based information sources Carlo Meghini Yannis Tzitzikas Veronica Coltella Anastasia Analyti Abstract We address

  13. Ontology-based Annotation and Query of Tissue Microarray Data Nigam H. Shah, Daniel L. Rubin, Kaustubh S. Supekar and Mark A. Musen

    E-Print Network [OSTI]

    Rubin, Daniel L.

    Ontology-based Annotation and Query of Tissue Microarray Data Nigam H. Shah, Daniel L. Rubin from both ontologies, providing the potential to align the two ontologies based on experimental data) is a repository of data amassed by a consortium of pathologists and biomedical researchers. The TMAD data

  14. FACEBOOK TWITTER GOOGLE+ LINKEDIN 4 George Perrot was tied to a rape by an FBI analysis of a strand of hair, a method that has since been discredited.

    E-Print Network [OSTI]

    Snider, Barry B.

    E- MAIL FACEBOOK TWITTER GOOGLE+ LINKEDIN 4 George Perrot was tied to a rape by an FBI analysis Springfield rape By Peter Schworm GLOBE STAFF SEPTEMBER 11, 2015 Abraham: Imprisoned by flawed science George Perrot has spent 29 years in prison for a rape he says he did not commit. Now, a single hair stands

  15. 14 February 2005/Vol. 48, No. 2 COMMUNICATIONS OF THE ACM earing the end of a talk I gave at Google

    E-Print Network [OSTI]

    California at Berkeley, University of

    14 February 2005/Vol. 48, No. 2 COMMUNICATIONS OF THE ACM N earing the end of a talk I gave at Google recently, I turned to the subject of becom- ing a member of ACM. I've come to real- ize that some, I've concluded that joining ACM is wise regardless of your perspective: membership supports many

  16. Google+ has been installed more than 500 million times on Android 5 things the Xbox One needs right now Micro-windmills may one day charge

    E-Print Network [OSTI]

    Chiao, Jung-Chih

    Google+ has been installed more than 500 million times on Android 5 things the Xbox One needs right. Android Apple Microsoft Science Gaming Search Geek 46 Like 36 News Apps Culture Mobile Tablets Deals Geek again Geekout 41: Chrome sees major updates, Android goes crazy, and Rube Works iPhone 6 could have NFC

  17. The Journal of Ethnobiology and Traditional Medicine. Photon 122 (2014) 820-831 https://sites.google.com/site/photonfoundationorganization/home/the-journal-of-ethnobiology-and-traditional-medicine

    E-Print Network [OSTI]

    Qin, Wensheng

    2014-01-01

    Ph ton 820 The Journal of Ethnobiology and Traditional Medicine. Photon 122 (2014) 820-831 https://sites.google.com/site/photonfoundationorganization/home/the-journal-of-ethnobiology-and-traditional-medicine Original Research Article. ISJN: 6642-3194 The Journal of Ethnobiology and Traditional Medicine Ph ton

  18. Building Simulated Queries for Known-Item Topics: An Analysis using Six European Languages

    E-Print Network [OSTI]

    Azzopardi, L.

    Azzopardi,L. de Rijke,M. Balog,K. To appear in the Proceedings of the 30th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR 2007)

  19. Assembling regions for efficacious aggregate query processing in wireless sensor networks

    E-Print Network [OSTI]

    Fertis, Apostolos

    2005-01-01

    The field of sensor networks is rapidly developing enabling us to deploy them to an unpredictable environment and draw diverse and interesting information from it. Their capabilities are improving. They can sense complicated ...

  20. Computationally Feasible Query Answering over Spatio-thematic Ontologies Ozgur Lutfu Ozcep and Ralf Moller

    E-Print Network [OSTI]

    Moeller, Ralf

    classification for flooding scenarios, development of eco systems in forestry, analysis of sociological and demoscopic aspects in urban areas, or semantic web applications over GIS data [1] there is a need a large library of similar concepts and relations with mappings will emerge pretty soon. Moreover, assume

  1. In-Networks Spatial Query Estimation in Sensor Networks Silvia Nittel, Guang Jin, Yoh Shiraishi

    E-Print Network [OSTI]

    Nittel, Silvia

    University of Maine Orono, ME 04469-5711, USA nittel, jin@spatial.maine.edu Abstract Recently technology to monitor discrete and continuous phenomena in physical space. From a database perspective, a sensor network, we have developed instruments to monitor and observe the world in ways that are not obvious

  2. Event-Oriented Data Models and Temporal Queries in Transaction-Time Databases

    E-Print Network [OSTI]

    Zaniolo, Carlo

    on SQL-compliant DBMS. More recently however, there has been significant interest and progress on event standards, a first interesting development is that several DBMS vendors are proposing new specs in the past (as opposed to the human recreated history of a valid-time database). Furthermore, for web doc

  3. A Low-Cost Global Network for Data Collection and Query Audrey Colbrant

    E-Print Network [OSTI]

    Joseph Fourier Grenoble-I, Universit

    -level uninterrupted power supply (UPS) [7]. A cheaper and simpler way to go if we want the server to be safe of power ISSUES A central server in a developing country is subject to dis- rupting operations due to power interruptions. Depending on the frequency and duration of power outages, quite high in Dharamsala for example

  4. Google:[Leonid Zakharov] http://w3.pppl.gov/~zakharov LiWall Fusion and its 3 step R&D program

    E-Print Network [OSTI]

    Zakharov, Leonid E.

    Google:[Leonid Zakharov] http://w3.pppl.gov/~zakharov LiWall Fusion and its 3 step R&D program Bibble of the 70s") LiWF NBI heating/fueling + Lithium Pumping PFC. No cold particles except He. vskip1em Issue LiWF Current BBBL-70s concept of "fusion" The target RDF (Reactor Dev.Facility, neutron

  5. Google Earth through a Keyhole

    E-Print Network [OSTI]

    Wright, Dawn Jeannine

    ;#12;#12;#12;#12;Sensitive Compartmented Information (SCI) TALENT TOP SECRET KEYHOLE SECRET CLASSIFIED CONFIDENTIAL #12

  6. Ads by Google Quality Computer

    E-Print Network [OSTI]

    ://www.newscientist.com/article.ns?id=dn7361 10 May 2005 Weblinks International Thermonuclear Experimental Reactor http://www.ofes.fusion | E PLORE BY SUBJECTX | AST WORDL | UBSCRIBES | SEAR HC | RCHIVEA | SSR | OBSJ Biggest nuclear fusion's biggest nuclear fusion reactor, a $12 billion project designed to harness the power of the Sun

  7. Technology Development | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsofProgram: Report15 MeetingDevelopment Technology Development OE supports a

  8. How can I query data on OpenEI and generate a map? | 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 APPENDIXsource History View NewGuam: Energyarea,Magazine Jump to:IICommunity How can I

  9. HOW TO CLEAR YOUR BROWSER'S CACHE & COOKIES ON...INTERNET EXPLORER Once your browser is open on a non-FSU page (i.e. Google.com), SELECT the gear at the top right

    E-Print Network [OSTI]

    on a non-FSU page (i.e. Google.com), SELECT the gear at the top right to open the `Tools' menu Then SELECT browser is open on a non-FSU page (i.e. Google.com), SELECT the gear at the top right to open the `Tools

  10. Engineer Russ Feder leads development of diagnostic tools for...

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

    Engineer Russ Feder leads development of diagnostic tools for US ITER as physicist Dave Johnson shifts to part-time work By John Greenwald March 16, 2015 Tweet Widget Google Plus...

  11. Architecture Query processing

    E-Print Network [OSTI]

    Ghelli, Giorgio

    BirthYear Subject Grade Univ 1234567 Mary Pisa Tuscany 1995 DB 30 Pisa 1234567 Mary Pisa Tuscany 1995 SE 28 Pisa 1234568 John Lucca Tuscany 1994 DB 30 Pisa 1234568 John Lucca Tuscany 1994 SE 28 Pisa · Stud

  12. Developer | 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 ECoopButtePower VenturesInformation9) WindGridDeepiSolarEnergyDeveloperDeveloper

  13. Sustainable Development

    E-Print Network [OSTI]

    Brierley, Andrew

    150 Sustainable Development Sustainable Development Degree options BSc or MA (Single Honours Degree) Sustainable Development Contributing Schools Biology; Chemistry; Computer Science; Geography & Geosciences within Sustainable Development, then you should apply for the MA degree; if you are most interested

  14. A Query Calculus for Spatio-Temporal Object Databases Tony Griffiths, Alvaro A. A. Fernandes, Nassima Djafri, Norman W. Paton

    E-Print Network [OSTI]

    Paton, Norman

    the development of a com- plete spatio-temporal DBMS. This has given rise to a sub- stantial collection of results and aspatial data. ODMG Model Temporal Types Spatial Types Histories Spatio-Temporal Algebra Spatio using histories. A history is a set of timestamp-value pairs, where the timestamp is of a temporal type

  15. A Query Calculus for SpatioTemporal Object Databases Tony Griffiths, Alvaro A. A. Fernandes, Nassima Djafri, Norman W. Paton

    E-Print Network [OSTI]

    Fernandes, Alvaro A. A.

    the development of a com plete spatiotemporal DBMS. This has given rise to a sub stantial collection of results and aspatial data. ODMG Model Temporal Types Spatial Types Histories Spatio-Temporal Algebra Spatio using histories. A history is a set of timestampvalue pairs, where the timestamp is of a temporal type

  16. A Declarative Language for Querying and Restructuring the Web \\Lambda Laks V.S. Lakshmanan Fereidoon Sadri Iyer N. Subramanian

    E-Print Network [OSTI]

    Sadri, Fereidoon "Fred"

    . In this paper, we develop a simple logic called WebLog that is capable of retrieving information from HTML of applications involving real­life information in the Web. Keywords: World Wide Web, Structured documents, HTML such a need. Most information in the Web is present in the form of Hypertext Markup Language (HTML) documents

  17. Sustainable Development

    E-Print Network [OSTI]

    Brierley, Andrew

    ) Sustainable Development Contributing Schools Biology; Chemistry; Computer Science; Geography & Geosciences enquiries Dr Emilia Ferraro, Department of Geography & Sustainable Development E: gg. Resources Very few universities currently offer undergraduate degrees in Sustainable Development. Uniquely

  18. Career Development

    Broader source: Energy.gov [DOE]

    The career development objective is to produce better employees and maximizing employee potential. DOE Leadership & Career Development Programs can help provide employees with the skills and...

  19. Developer | 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 E LISTStar2-0057-EA Jump to: navigation,Department of DefenseDevar Power LtdDeveloper

  20. Winn Development | 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:EAand Dalton Jump to: navigation, searchDevelopment Jump to: navigation,