Powered by Deep Web Technologies
Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Enter Keyword(s) Today's Ecology Top  

E-Print Network [OSTI]

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

2

Programming with keywords  

E-Print Network [OSTI]

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

Little, Greg (Danny Greg)

2007-01-01T23:59:59.000Z

3

Development and evaluation of a thermodynamic dataset for phases of interest in CO2 mineral sequestration in basaltic rocks  

E-Print Network [OSTI]

evaluation of a thermodynamic dataset for phases of interestKeywords: Thermodynamic dataset CO2–water– basaltABSTRACT A thermodynamic dataset describing 36 mineral

Aradottir, E.S.P.

2013-01-01T23:59:59.000Z

4

unknown title  

E-Print Network [OSTI]

Abstract—The problem of wastewater treatment in Egypt is a two-fold problem; the first part concerning the existing rural areas, the second one dealing with new industrial/domestic areas. In Egypt several agricultural projects have been initiated by the government and the private sector as well, in order to change its infrastructure. As a reliable energy source, photovoltaic pumping systems have contributed to supply water for local rural communities worldwide; they can also be implemented to solve the problem “wastewater environment pollution”. The solution of this problem can be categorised as recycle process. In addition, because of regional conditions past technologies are being reexamined to select a smallscale treatment system requiring low construction and maintenance costs. This paper gives the design guidelines of a Photovoltaic Small-Scale Wastewater Treatment Plant (PVSSWTP) based on technologies that can be transferred. Keywords—Renewable energy sources, Photovoltaic, small-scale projects, wastewater treatment. I I.

Photovoltaic Small-scale; Wastewater Treatment; Fadia M. A. Ghali

5

Keyword Search and Oblivious Pseudorandom Functions  

E-Print Network [OSTI]

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

Singh, Jaswinder Pal

6

Keyword Search and Oblivious Pseudorandom Functions  

E-Print Network [OSTI]

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

Ishai, Yuval

7

Models Datasets  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment SurfacesResource Program PreliminaryA3,0StatementsMixingAssessing8 MayModels-Datasets

8

Multi-Keyword Sponsored Search Peerapong Dhangwatnotai  

E-Print Network [OSTI]

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

Sandholm, Tuomas W.

9

FISSION REACTORS KEYWORDS: core-barrel vibra-  

E-Print Network [OSTI]

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

Demazière, Christophe

10

Discriminative Keyword Spotting David Grangier1  

E-Print Network [OSTI]

Laboratories America, Princeton, NJ, USA 2 IDIAP Research Institute, Martigny, Switzerland 3 Google Inc., Mountain View, CA, USA This chapter introduces a discriminative method for detecting and spotting keywords and transition models, or the Expectation-Maximization (EM) training procedure, which is prone to convergence

Tomkins, Andrew

11

HEGIS CLASSIFICATIONS (THIS DOCUMENT IS KEYWORD SEARCHABLE  

E-Print Network [OSTI]

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

Segraves, Kari A.

12

Rapid automatic keyword extraction for information retrieval and analysis  

DOE Patents [OSTI]

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

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

2012-03-06T23:59:59.000Z

13

AHIS Dataset Search Engine: An intelligent approach to EML Data Management  

E-Print Network [OSTI]

AHIS Dataset Search Engine: An intelligent approach to EML Data Management Hung V. Nguyen, Corinna Language ­ EML format. Efficient dataset retrieval system needs to understand the important keywords with text mining techniques for ecological datasets to bridge this gap Technique: · Data extraction: Extract

Hall, Sharon J.

14

Fluxnet Synthesis Dataset Collaboration Infrastructure  

E-Print Network [OSTI]

Fluxnet Synthesis Dataset Collaboration Infrastructure DebUCB) The Fluxnet synthesis dataset originally compiled forhave been added and the dataset now contains over 920 site

Agarwal, Deborah A.

2009-01-01T23:59:59.000Z

15

Distributed Information Retrieval using Keyword Auctions Djoerd Hiemstra  

E-Print Network [OSTI]

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

Hiemstra, Djoerd

16

Unknown: Multifocal scalp hair loss  

E-Print Network [OSTI]

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

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

2006-01-01T23:59:59.000Z

17

Introduction Real datasets with known classes  

E-Print Network [OSTI]

Introduction Real datasets with known classes Simulated datasets Real datasets without known 8, 2011 Christian Hennig Some thoughts on cluster benchmarking #12;Introduction Real datasets with known classes Simulated datasets Real datasets without known classes Benchmarking should not be ranking

Hennig, Christian

18

Encrypted Keyword Search in a Distributed Storage System  

E-Print Network [OSTI]

Encrypted keyword search allows a server to perform a search over a set of encrypted documents on behalf of a client without learning the contents of the documents or the words being searched for. Designing a practical ...

Artzi, Shay

2006-02-23T23:59:59.000Z

19

UNKNOWN  

Office of Legacy Management (LM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment ofDepartment ofof EnergyYou$0.C. 20545 OCTTO: FILEWAWINQTON, 0. C.

20

UNKNOWN  

Office of Legacy Management (LM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment ofDepartment ofof EnergyYou$0.C. 20545 OCTTO: FILEWAWINQTON, 0. C.Journal of

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

UNKNOWN  

Office of Legacy Management (LM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment ofDepartment ofof EnergyYou$0.C. 20545 OCTTO: FILEWAWINQTON, 0. C.Journal ofDOI:

22

Author's personal copy Performance analysis of keyword advertising campaign using  

E-Print Network [OSTI]

image. Our results establishes that positive brand reputation creates dramatic influence on consumer highlights that gender is a key predictor of purchase intent, and the notion of positive brand image enhancesAuthor's personal copy Performance analysis of keyword advertising campaign using gender-brand

Jansen, James

23

Indexing and Keyword Search to Ease Navigation in Lecture Videos  

E-Print Network [OSTI]

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

Subhlok, Jaspal

24

Efficient and Effective Aggregate Keyword Search on Relational Databases  

E-Print Network [OSTI]

Shuttle Experience rocket, supersonic, jet December Texas Dallas Cowboy's Dream Run motorcycle, culture vacation, is interested in seeing space shuttles, riding motorcycle and experiencing American food. He can search the event calendar using the set of keywords {"space shuttle", "motorcycle", "American food

Pei, Jian

25

Rediscovering old datasets Paul Withers  

E-Print Network [OSTI]

Rediscovering old datasets Paul Withers Center for Space Physics, Boston University (withers if these data are accessible and useable #12;PVO · http://nssdc.gsfc.nasa.gov/nmc/datasetDisplay.d o://nssdc.gsfc.nasa.gov/nmc/datasetDisplay.do?id=PSPA-00141 · Tables of ionospheric profiles and other

Withers, Paul

26

ITCS 4121/5121 Contest Assignment 1 Datasets: Select one dataset I provided for HW 1 as your target dataset.  

E-Print Network [OSTI]

ITCS 4121/5121 Contest Assignment 1 Datasets: Select one dataset I provided for HW 1 as your target dataset. Visualization: The four datasets are closely related to our daily life. What to you want to do with your target dataset? Try to find one or more tasks. For example, you may want to find the best cereal

Yang, Jing

27

The Pollution Effect: Optimizing Keyword Auctions by Favoring Relevant Advertising  

E-Print Network [OSTI]

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

Linden, Greg; Chickering, Max

2011-01-01T23:59:59.000Z

28

A new bed elevation dataset for Greenland  

E-Print Network [OSTI]

A new bed elevation dataset for Greenland J. L. Bamber 1 ,al. : A new bed elevation dataset for Greenland Howat, I. M.al. : A new bed elevation dataset for Greenland Fig. 3. (a)

2013-01-01T23:59:59.000Z

29

Scaling Properties of Common Statistical Operators for Gridded Datasets  

E-Print Network [OSTI]

model that accounts for dataset size and structure can helpclimate model-origin. For these dataset geometries our modelfor simple analysis (e.g. dataset differencing). Dataset

Zender, C. S; Mangalam, H.

2007-01-01T23:59:59.000Z

30

Adjustable Robust Parameter Design with Unknown Distributions  

E-Print Network [OSTI]

Mar 27, 2013 ... Adjustable Robust Parameter Design with Unknown Distributions. ihsan Yanikoglu(i.yanikoglu ***at*** uvt.nl) Dick den Hertog(d.denhertog ...

ihsan Yanikoglu

2013-03-27T23:59:59.000Z

31

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

E-Print Network [OSTI]

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

Noble, William Stafford

32

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

E-Print Network [OSTI]

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

Yanikoglu, Berrin

33

Autonomous Flight in Unknown Indoor Environments  

E-Print Network [OSTI]

This paper presents our solution for enabling a quadrotor helicopter, equipped with a laser rangefinder sensor, to autonomously explore and map unstructured and unknown indoor environments. While these capabilities are ...

Bachrach, Abraham Galton

34

Fluxnet Synthesis Dataset Collaboration Infrastructure  

SciTech Connect (OSTI)

The Fluxnet synthesis dataset originally compiled for the La Thuile workshop contained approximately 600 site years. Since the workshop, several additional site years have been added and the dataset now contains over 920 site years from over 240 sites. A data refresh update is expected to increase those numbers in the next few months. The ancillary data describing the sites continues to evolve as well. There are on the order of 120 site contacts and 60proposals have been approved to use thedata. These proposals involve around 120 researchers. The size and complexity of the dataset and collaboration has led to a new approach to providing access to the data and collaboration support and the support team attended the workshop and worked closely with the attendees and the Fluxnet project office to define the requirements for the support infrastructure. As a result of this effort, a new website (http://www.fluxdata.org) has been created to provide access to the Fluxnet synthesis dataset. This new web site is based on a scientific data server which enables browsing of the data on-line, data download, and version tracking. We leverage database and data analysis tools such as OLAP data cubes and web reports to enable browser and Excel pivot table access to the data.

Agarwal, Deborah A.; Humphrey, Marty; van Ingen, Catharine; Beekwilder, Norm; Goode, Monte; Jackson, Keith; Rodriguez, Matt; Weber, Robin

2008-02-06T23:59:59.000Z

35

The UTIAS multi-robot cooperative localization and mapping dataset  

E-Print Network [OSTI]

The UTIAS multi-robot cooperative localization and mapping dataset The International Journal and mapping dataset collection for research and educational purposes. The dataset consists of nine sub-datasets in each sub-dataset is also provided. The dataset is available for download at http://asrl.utias.utoronto.ca/datasets

36

Distribution-sensitive learning for imbalanced datasets  

E-Print Network [OSTI]

Many real-world face and gesture datasets are by nature imbalanced across classes. Conventional statistical learning models (e.g., SVM, HMM, CRY), however, are sensitive to imbalanced datasets. In this paper we show how ...

Song, Yale

37

1 Calibration against independent human travel datasets  

E-Print Network [OSTI]

1 Calibration against independent human travel datasets 1.1 Calibration against United States at www.bts.gov. Although the BTS dataset is large, the movements were histogrammed 1 #12;with a low

Shull, Kenneth R.

38

European Climate Assessment & Dataset Report 2008  

E-Print Network [OSTI]

European Climate Assessment & Dataset Report 2008 ECA&D · · · · European Climate Assessment & Dataset (ECA&D) Report 2008 "Towards an operational system for assessing observed changes in climate & Dataset Report 2008 ECA&D · · · · Aryan van Engelen, Albert Klein Tank, Gerard van de Schrier and Lisette

Stoffelen, Ad

39

Integrated Datasets (IDs) Wood/Bretherton proposal  

E-Print Network [OSTI]

Integrated Datasets (IDs) Wood/Bretherton proposal ID Rationale Space/Time scale; Location; Platforms Parameters Combined Drizzle Dataset (CD ID) Collocated precipitation, aerosol and cloud micro, precip. rate, cloud Cross- Section Dataset (XS-ID) Data on E-W cross- section along 20°S from coast

Wood, Robert

40

Unbiased Look at Dataset Bias Antonio Torralba  

E-Print Network [OSTI]

Unbiased Look at Dataset Bias Antonio Torralba Massachusetts Institute of Technology torralba@csail.mit.edu Alexei A. Efros Carnegie Mellon University efros@cs.cmu.edu Abstract Datasets are an integral part and comparing performance of competing algo- rithms. At the same time, datasets have often been blamed

Guestrin, Carlos

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

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

E-Print Network [OSTI]

Observational Datasets We use two different satellite soil moisture datasets, one derived from of the datasets. Whilst the AMSRE soil moisture product is gridded at 0.25°, the footprint of the sensor different precipitation datasets which use a combination of satellite data and, in some cases, surface

Guichard, Francoise

42

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

E-Print Network [OSTI]

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

Jansen, James

43

iBubble: Multi-keyword Routing Protocol for Heterogeneous Wireless Sensor Networks  

E-Print Network [OSTI]

, Matt Spear, Karl Levitt and S. Felix Wu Department of Computer Science UC Davis, Davis, CA 95616 Email. By utilizing keywords, iBubble bridges many routing and energy problems prevalent in WSN, and provides a simple

California at Davis, University of

44

Fall 2012 focal follow FAD GPS dataset  

E-Print Network [OSTI]

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

Alvard, Michael

2014-06-11T23:59:59.000Z

45

Synthetic Datasets Rong Huang, Rada Chirkova, Yahya Fathi  

E-Print Network [OSTI]

Synthetic Datasets Rong Huang, Rada Chirkova, Yahya Fathi 1 Introduction Datasets may be generated will define symmetric synthetic dataset and two types of non-symmetric synthetic datasets that has some introduce symmetric synthetic dataset, its structure and the properties of the associated views. In Section

Young, R. Michael

46

KDD 99 intrusion detection datasets, which are based on DARPA 98 dataset, provides labeled data for researchers  

E-Print Network [OSTI]

Abstract KDD 99 intrusion detection datasets, which are based on DARPA 98 dataset, provides labeled data for researchers working in the field of intrusion detection and is the only labeled dataset publicly available. Numerous researchers employed the datasets in KDD 99 intrusion detection datasets

Zincir-Heywood, Nur

47

ITCS 4121/5121 Contest Assignment 1 Datasets: Four multiple datasets have been uploaded into the course Blackboard.  

E-Print Network [OSTI]

ITCS 4121/5121 Contest Assignment 1 Datasets: Four multiple datasets have been uploaded into the course Blackboard. Download the datasets and select one from them to be your target dataset. Visualization: The four datasets are closely related to our daily life. What to you want to do with your target

Yang, Jing

48

Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets  

E-Print Network [OSTI]

Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets Vadeerat spatial datasets. This capability is important for change analysis and contrast mining. In this paper spatial datasets by maximizing cluster interestingness and correspondence between clusters derived from

Eick, Christoph F.

49

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

E-Print Network [OSTI]

To users of the Western Wind Dataset: We have run into some issues on the wind dataset. For many uses of the dataset (general capacity factor comparisons, diurnal or seasonal profile comparisons, etc), these issues may not affect you. However, if you are using the dataset for an extensive wind integration study

50

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

E-Print Network [OSTI]

1 KEYWORDS: geospatial clustering, web service, Web GIS, spatial data mining, clustering 1-poor. Unprecedented amounts of spatial data are gathered quickly and easily through various methods, such as sensorsClustering offers an API and follows the OGC standard data format for spatial data exchange. #12;2 connectivity

51

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

E-Print Network [OSTI]

offered by search en- gines. These services enable companies to promote their products to consumers based on their search queries. In most search-based advertising services, a company selects a set of keywords enable companies to promote their products to targeted groups of consumers based on their search queries

Rusmevichientong, Paat

52

Answering Aggregate Keyword Queries on Relational Databases Using Minimal Group-bys  

E-Print Network [OSTI]

, a customer planning his vacation, is interested in seeing space shuttles, riding motorcycle and experiencing American food. He can search the event calendar using the set of keywords {"space shuttle", "motorcycle have space shuttles, motorcycle, and American food all together if he visits Texas in December

Pei, Jian

53

Exploiting Parallelism to Accelerate Keyword Search On Deep-web Sources  

E-Print Network [OSTI]

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

Agrawal, Gagan

54

Defining the Problem Known Environment Unknown Environment Improvements Reinforcement Learning  

E-Print Network [OSTI]

Defining the Problem Known Environment Unknown Environment Improvements Reinforcement Learning Bel¨oningsbaserad Inl¨arning Defining the Problem Known Environment Unknown Environment Improvements 1 Defining the Problem Framework Role of Reward Simplifying Assumptions Central Concepts 2 Known Environment Bellmans

Kjellström, Hedvig

55

A new bed elevation dataset for Greenland  

E-Print Network [OSTI]

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

2013-01-01T23:59:59.000Z

56

Comparison of Recent SnIa datasets  

E-Print Network [OSTI]

We rank the six latest Type Ia supernova (SnIa) datasets (Constitution (C), Union (U), ESSENCE (Davis) (E), Gold06 (G), SNLS 1yr (S) and SDSS-II (D)) in the context of the Chevalier-Polarski-Linder (CPL) parametrization $w(a)=w_0+w_1 (1-a)$, according to their Figure of Merit (FoM), their consistency with the cosmological constant ($\\Lambda$CDM), their consistency with standard rulers (Cosmic Microwave Background (CMB) and Baryon Acoustic Oscillations (BAO)) and their mutual consistency. We find a significant improvement of the FoM (defined as the inverse area of the 95.4% parameter contour) with the number of SnIa of these datasets ((C) highest FoM, (U), (G), (D), (E), (S) lowest FoM). Standard rulers (CMB+BAO) have a better FoM by about a factor of 3, compared to the highest FoM SnIa dataset (C). We also find that the ranking sequence based on consistency with $\\Lambda$CDM is identical with the corresponding ranking based on consistency with standard rulers ((S) most consistent, (D), (C), (E), (U), (G) least consistent). The ranking sequence of the datasets however changes when we consider the consistency with an expansion history corresponding to evolving dark energy $(w_0,w_1)=(-1.4,2)$ crossing the phantom divide line $w=-1$ (it is practically reversed to (G), (U), (E), (S), (D), (C)). The SALT2 and MLCS2k2 fitters are also compared and some peculiar features of the SDSS-II dataset when standardized with the MLCS2k2 fitter are pointed out. Finally, we construct a statistic to estimate the internal consistency of a collection of SnIa datasets. We find that even though there is good consistency among most samples taken from the above datasets, this consistency decreases significantly when the Gold06 (G) dataset is included in the sample.

J. C. Bueno Sanchez; S. Nesseris; L. Perivolaropoulos

2009-10-01T23:59:59.000Z

57

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

E-Print Network [OSTI]

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

Memon, Atif M.

58

Maximum Entropy in Support of Semantically Annotated Datasets  

E-Print Network [OSTI]

Maximum Entropy in Support of Semantically Annotated Datasets Paulo Pinheiro da Silva, Vladik whether two datasets describe the same quantity. The existing solution to this problem is to use these datasets' ontologies to deduce that these datasets indeed represent the same quantity. However, even when

Kreinovich, Vladik

59

Covariance Tapering for Likelihood Based Estimation in Large Spatial Datasets  

E-Print Network [OSTI]

Covariance Tapering for Likelihood Based Estimation in Large Spatial Datasets Cari Kaufman, Mark the likelihood can be computationally infeasible for large datasets, requiring O(n3) calculations for a dataset and Marshall, 1984). However, evaluating the likelihood requires order n3 operations for a dataset of size n

60

Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets  

E-Print Network [OSTI]

Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets Brandon M landmark datasets with different landmark definitions into a super dataset, with a union of all landmark known landmarks in the target dataset to constrain the localization. Our novel pipeline is built upon

Zhang, Li

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

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

E-Print Network [OSTI]

APPENDICES A Dataset availability The ``public domain'' datasets are listed below with an anonymous ftp address. If you do not have access to these, then you can obtain the datasets on diskette from Dr Porto, Potugal. The main source of datasets is ics.uci.edu (128.195.1.1) ­ the UCI Repository of Machine

Taylor, Charles C.

62

Governance of the NHD and WBD By design, and in practice, the National Hydrography Dataset and Watershed Boundary Dataset are  

E-Print Network [OSTI]

Dataset and Watershed Boundary Dataset are governed in a collaborative process consisting Agency jointly designed a hydrography feature dataset for nationwide use by all agencies in an effort number of stakeholders to ensure a "best fit" dataset that would meet as many needs as possible

Torgersen, Christian

63

Multi-unit Auctions with Unknown Supply [Extended Abstract  

E-Print Network [OSTI]

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

Saberi, Amin

64

Defining the Problem Known Environment Unknown Environment Improvements Reinforcement Learning  

E-Print Network [OSTI]

Defining the Problem Known Environment Unknown Environment Improvements Reinforcement Learning Bel¨oningsbaserad Inl¨arning #12;Defining the Problem Known Environment Unknown Environment Improvements 1 Defining the Problem Framework Role of Reward Simplifying Assumptions Central Concepts 2 Known Environment Bellman

Kjellström, Hedvig

65

Defining the Problem Known Environment Unknown Environment Improvements Reinforcement Learning  

E-Print Network [OSTI]

Defining the Problem Known Environment Unknown Environment Improvements Reinforcement Learning Bel¨oningsbaserad Inl¨arning #12;Defining the Problem Known Environment Unknown Environment Improvements 1 Defining the Problem Framework Role of Reward Simplifying Assumptions Central Concepts 2 Known Environment Bellmans

Kjellström, Hedvig

66

Migrating attributes tied to the EPA river reache file to the national hydrography dataset  

E-Print Network [OSTI]

The National Hydrography Dataset. Veisze, P. , K. Beardsley,the National Hydrography Dataset In cooperation with severalto California's hydrography dataset (a modified form of the

Moore, Cynthia L.; Mullins, James C.; Willett, Karen Beardsley; Quinn, James F.

1999-01-01T23:59:59.000Z

67

Bulk Data Movement for Climate Dataset: Efficient Data Transfer Management with Dynamic Transfer Adjustment  

E-Print Network [OSTI]

Data Movement for Climate Dataset: Efficient Data Transferbeen managing the massive dataset transfers efficiently withdistribution in climate dataset in Intergovernmental Panel

Sim, Alexander

2010-01-01T23:59:59.000Z

68

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

E-Print Network [OSTI]

targets within our RNAi dataset that may be components ofgenes within our FG dataset that are novel components ofa functional genomics dataset In this study, we examine the

Ho, Hsiang; Milenkovic, Tijana; Memisevic, Vesna; Aruri, Jayavani; Przulj, Natasa; Ganesan, Anand K

2010-01-01T23:59:59.000Z

69

Sensitivity of Steel Casting Simulation Results to Alloy Property Datasets  

E-Print Network [OSTI]

1 Sensitivity of Steel Casting Simulation Results to Alloy Property Datasets Kent D. Carlson dataset; Ni-based alloys N3M, CW6MC and CW12MW can be represented by the benchmark CW12MW dataset; and Ni-based alloys M30C and M35-1 can be represented by the benchmark M35-1 dataset. While these alloy groupings

Beckermann, Christoph

70

Covariance Tapering for Interpolation of Large Spatial Datasets  

E-Print Network [OSTI]

Covariance Tapering for Interpolation of Large Spatial Datasets Reinhard FURRER, Marc G. GENTON results. An application to a large climatological precipitation dataset is presented as a concrete-based methods make it possible to analyze and fit large spatial datasets in a high level Reinhard Furrer

Genton, Marc G.

71

Columbia Photographic Images and Photorealistic Computer Graphics Dataset  

E-Print Network [OSTI]

Columbia Photographic Images and Photorealistic Computer Graphics Dataset Tian-Tsong Ng, Shih Abstract Passive-blind image authentication is a new area of research. A suitable dataset. In response to the need for a new dataset, the Columbia Photographic Images and Photorealistic Computer

Chang, Shih-Fu

72

RENOIR -A Benchmark Dataset for Real Noise Reduction Evaluation  

E-Print Network [OSTI]

1 RENOIR - A Benchmark Dataset for Real Noise Reduction Evaluation Josue Anaya, Adrian Barbu Abstract--In this paper we introduce a dataset of uncom- pressed color images taken with three digital and in intensity. The dataset contains over 100 scenes and more than 400 images, including both RAW formatted

Barbu, Adrian

73

Estimating Dataset Size Requirements for Classifying DNA Microarray Data  

E-Print Network [OSTI]

Estimating Dataset Size Requirements for Classifying DNA Microarray Data S. Mukherjee*+#1 , P methodology for estimating dataset size requirements for classifying microarray data using learning curves is introduced. The goal is to use existing classification results to estimate dataset size requirements

Poggio, Tomaso

74

Datasets for the Evaluation of Substitution-Tolerant Subgraph Isomorphism  

E-Print Network [OSTI]

Datasets for the Evaluation of Substitution-Tolerant Subgraph Isomorphism Pierre H´eroux LITIS EA datasets allowing to evaluate the performance of subgraph iso- morphism approaches in presence of noisy data. In this paper, we present three datasets that can be used to evaluate the performance

Paris-Sud XI, Université de

75

A Dataset Search Engine for the Research Document Corpus  

E-Print Network [OSTI]

A Dataset Search Engine for the Research Document Corpus Meiyu Lu # , Srinivas Bangalore , Graham a proposed idea or system is to evaluate over a suitable dataset. However, to this date there have been no useful tools for researchers to understand which datasets have been used for what purpose, or in what

Cormode, Graham

76

Dataset Issues in Object Recognition J. Ponce1,2  

E-Print Network [OSTI]

Dataset Issues in Object Recognition J. Ponce1,2 , T.L. Berg3 , M. Everingham4 , D.A. Forsyth1 , M of Edinburgh, Edinburgh, UK Abstract. Appropriate datasets are required at all stages of object recognition datasets are lacking in several respects, and this paper discusses some of the lessons learned from

Everingham, Mark

77

Updating the Tyrol tree-ring dataset , U. Bntgen1  

E-Print Network [OSTI]

Updating the Tyrol tree-ring dataset J. Esper1 , U. Büntgen1 , D. Frank1 , T. Pichler2 , K in palaeoclimatology The Tyrol dataset is a collection of 71 Picea abies ring width measurement series from the study area in Tyrol in the central Alps. We here describe efforts of updating this relevant dataset

Nicolussi, Kurt

78

A Dataset Search Engine for the Research Document Corpus  

E-Print Network [OSTI]

A Dataset Search Engine for the Research Document Corpus Meiyu Lu # , Srinivas Bangalore , Graham no useful tools for researchers to understand which datasets have been used for what purpose, or in what prior work. Instead, they have to manually browse through papers to find suitable datasets

Fisher, Kathleen

79

Overcoming Dataset Bias: An Unsupervised Domain Adaptation Approach  

E-Print Network [OSTI]

Overcoming Dataset Bias: An Unsupervised Domain Adaptation Approach Boqing Gong Dept. of Computer that recognition datasets are biased. Paying no heed to those biases, learning algorithms often result in classifiers with poor cross- dataset generalization. We are developing domain adaptation techniques to over

Grauman, Kristen

80

How Sensitive is Processor Customization to the Workload's Input Datasets?  

E-Print Network [OSTI]

How Sensitive is Processor Customization to the Workload's Input Datasets? Maximilien Breughe Zheng though is to what extent processor customiza- tion is sensitive to the training workload's input datasets. Current practice is to consider a single or only a few input datasets per workload during the processor

Eeckhout, Lieven

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Probing Metagenomics by Rapid Cluster Analysis of Very Large Datasets  

E-Print Network [OSTI]

Probing Metagenomics by Rapid Cluster Analysis of Very Large Datasets Weizhong Li1 , John C. Wooley PLoS Biol 5, e16). Such datasets, not only by their sheer size, but also by many other features, defy datasets by advanced clustering strategies using the newly modified CD-HIT algorithm. We performed

Weitz, Joshua S.

82

Autonomous Flight in Unstructured and Unknown Indoor Environments  

E-Print Network [OSTI]

This paper presents our solution for enabling a quadrotor helicopter, equipped with a laser rangefinder sensor, to autonomously explore and map unstructured and unknown indoor environments. While these capabilities are ...

Bachrach, Abraham Galton

83

Method for identifying known materials within a mixture of unknowns  

DOE Patents [OSTI]

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

Wagner, John S. (Albuquerque, NM)

2000-01-01T23:59:59.000Z

84

System for identifying known materials within a mixture of unknowns  

DOE Patents [OSTI]

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

Wagner, John S. (Albuquerque, NM)

1999-01-01T23:59:59.000Z

85

System for identifying known materials within a mixture of unknowns  

DOE Patents [OSTI]

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

Wagner, J.S.

1999-07-20T23:59:59.000Z

86

Nonlinear Adaptive Control for Bioreactors with Unknown Kinetics  

E-Print Network [OSTI]

, unknown kinetics, wastewater treatment. 1 Introduction Biological processes have become widely used on a real life wastewater treatment plant. Key words: Nonlinear adaptive control, continuous bioprocesses a pollutant (wastewater treatment...). There- fore, bioreactors require advanced regulation procedures

Bernard, Olivier

87

Form:Dataset | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has beenFfe2fb55-352f-473b-a2dd-50ae8b27f0a6Theoretical vsFlintFluxInput your dataset name below to add

88

Template:DatasetValue | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:Seadov Pty LtdSteen,Ltd Jump to:Taos County,TeesAtlasTabs JumpDatabusNav JumpDatasetValue

89

Photometric Stereo with General, Unknown Lighting Ronen Basri  

E-Print Network [OSTI]

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

Jacobs, David

90

AUTONOMOUS NAVIGATION TROUP FOR COOPERATIVE MODELLING OF UNKNOWN ENVIRONMENTS  

E-Print Network [OSTI]

AUTONOMOUS NAVIGATION TROUP FOR COOPERATIVE MODELLING OF UNKNOWN ENVIRONMENTS Josep Amat,mantaras@iiia.csic.es} Abstract Based on the information gathered by a set of small autonomous low cost vehicles, the generation, small autonomous vehicles has been developed. These vehicles follow the already classical line of insect

López-Sánchez, Maite

91

Robust Multi-loop Airborne SLAM in Unknown Wind Environments  

E-Print Network [OSTI]

Robust Multi-loop Airborne SLAM in Unknown Wind Environments Jonghyuk Kim Department of Engineering for Autonomous Systems University of Sydney, Australia Email: salah@acfr.usyd.edu.au Abstract-- This paper presents a robust multi-loop airborne SLAM structure which also augments wind information. The air velocity

Kim, Jonghyuk "Jon"

92

Stochastic Online Learning for Network Optimization under Unknown Random Weights  

E-Print Network [OSTI]

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

Zhao, Qing

93

Electrical Resistivity Imaging for Unknown Bridge Foundation Depth Determination  

E-Print Network [OSTI]

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

Arjwech, Rungroj

2012-02-14T23:59:59.000Z

94

Framework for Interactive Parallel Dataset Analysis on the Grid  

SciTech Connect (OSTI)

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

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

2007-01-10T23:59:59.000Z

95

Use of nuclei fractal properties for help to determine some unknown particle spins and unknown nuclei excited level spins  

E-Print Network [OSTI]

The fractal property stipulates that the same physical laws apply for different scales of a given physics. This property is applied to particles and nuclei, in order to study the possibility to use it to help for determination of unknown spins of some particles or excited nuclei levels.

Boris Tatischeff

2011-12-06T23:59:59.000Z

96

Visualization of Cosmological Particle-Based Datasets  

E-Print Network [OSTI]

We describe our visualization process for a particle-based simulation of the formation of the first stars and their impact on cosmic history. The dataset consists of several hundred time-steps of point simulation data, with each time-step containing approximately two million point particles. For each time-step, we interpolate the point data onto a regular grid using a method taken from the radiance estimate of photon mapping. We import the resulting regular grid representation into ParaView, with which we extract isosurfaces across multiple variables. Our images provide insights into the evolution of the early universe, tracing the cosmic transition from an initially homogeneous state to one of increasing complexity. Specifically, our visualizations capture the build-up of regions of ionized gas around the first stars, their evolution, and their complex interactions with the surrounding matter. These observations will guide the upcoming James Webb Space Telescope, the key astronomy mission of the next decade.

Paul Arthur Navrátil; Jarrett L. Johnson; Volker Bromm

2007-08-07T23:59:59.000Z

97

Patterns and Reuse in Document Engineering Keywords: Document Engineering, Document Analysis, Data Analysis, Data Modeling, Patterns, Reuse,  

E-Print Network [OSTI]

to business processes via Web-based services. The essence of Document Engineering is the analysis and designPatterns and Reuse in Document Engineering Keywords: Document Engineering, Document Analysis, Data and an Engineering Fellow at Commerce One. He founded or co-founded three companies, the last of which was Veo

Glushko, Robert J.

98

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

E-Print Network [OSTI]

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

Yanikoglu, Berrin

99

An Investigation of Martian Methane & Implications for Future Missions Keywords: Mars, atmosphere; Atmospheres, composition; Spectroscopy; Infrared observations  

E-Print Network [OSTI]

An Investigation of Martian Methane & Implications for Future Missions Keywords: Mars, atmosphere and Planetary Institute discussing the recent detection of methane in the Martian atmosphere. Methane requires constant renewal in the Martian atmosphere, so this discovery implies the presence of methane sources

Richardson Jr., James E.

100

Property:Plants with Unknown Planned Capacity | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscotInformation Max Jump to:FlatDemandMonth3Phone Property Typewith Unknown

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Creating a Global Humidity DatasetCreating a Global Humidity Dataset Progress with the Marine ComponentProgress with the Marine Component  

E-Print Network [OSTI]

Creating a Global Humidity DatasetCreating a Global Humidity Dataset ­­ Progress with the Marine PROJECT SUMMARY CLIMATOLOGIES Create a global gridded monthly mean dataset of surface vapour pressure, Exeter, UK ­ CASE sponsors ICOADS, NCDC ­ for providing the marine dataset Philip Brohan, Hadley Centre

Feigon, Brooke

102

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

E-Print Network [OSTI]

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

Cohe, J

2006-01-01T23:59:59.000Z

103

Multivariate Protein Signatures of Pre-Clinical Alzheimer's Disease in the Alzheimer's Disease Neuroimaging Initiative (ADNI) Plasma Proteome Dataset  

E-Print Network [OSTI]

these samples. Following dataset pruning, 17 analytes passedwere incorporated back into the dataset for assessment ofADNI) Plasma Proteome Dataset Daniel Johnstone 1,2 ,

Johnstone, Daniel; Milward, Elizabeth A.; Berretta, Regina; Moscato, Pablo

2012-01-01T23:59:59.000Z

104

Reconstructing thawing quintessence with multiple datasets  

E-Print Network [OSTI]

In this work we model the quintessence potential in a Taylor series expansion, up to second order, around the present-day value of the scalar field. The field is evolved in a thawing regime assuming zero initial velocity. We use the latest data from the Planck satellite, baryonic acoustic oscillations observations from the Sloan Digital Sky Survey, and Supernovae luminosity distance information from Union$2.1$ to constrain our models parameters, and also include perturbation growth data from WiggleZ. We show explicitly that the growth data does not perform as well as the other datasets in constraining the dark energy parameters we introduce. We also show that the constraints we obtain for our model parameters, when compared to previous works of nearly a decade ago, have not improved significantly. This is indicative of how little dark energy constraints, overall, have improved in the last decade, even when we add new growth of structure data to previous existent types of data.

Lima, Nelson A; Sahlén, Martin; Parkinson, David

2015-01-01T23:59:59.000Z

105

A Comparison of State-of-the-Art Technologies for Irreversible Compression of Large Medical Datasets  

E-Print Network [OSTI]

Datasets Alberto Signoroni, Mario Pezzoni, Claudia Tonoli and Riccardo Leonardi University of Brescia datasets, also keep- ing into account relevant features related to modern appli- cation requirements and infrastructures (PACS, teleradiology) involving large datasets. Reproducibility and possible extension

Signoroni, Alberto

106

Multiresolution Approaches to Representation and Visualization of Large Influenza Virus Sequence Datasets  

E-Print Network [OSTI]

Datasets Leonid Zaslavsky National Center for Biotechnology Information National Library of Medicine dataset is characterized by low estimated values of the Kolmogorov (box) dimension. Multi- scale methodologies allow interactive visual representation of the dataset and accelerate computations by importance

Levin, Judith G.

107

Tension in the Recent Type Ia Supernovae Datasets  

E-Print Network [OSTI]

In the present work, we investigate the tension in the recent Type Ia supernovae (SNIa) datasets Constitution and Union. We show that they are in tension not only with the observations of the cosmic microwave background (CMB) anisotropy and the baryon acoustic oscillations (BAO), but also with other SNIa datasets such as Davis and SNLS. Then, we find the main sources responsible for the tension. Further, we make this more robust by employing the method of random truncation. Based on the results of this work, we suggest two truncated versions of the Union and Constitution datasets, namely the UnionT and ConstitutionT SNIa samples, whose behaviors are more regular.

Hao Wei

2010-04-07T23:59:59.000Z

108

Froissart Bound on Inelastic Cross Section Without Unknown Constants  

E-Print Network [OSTI]

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

Martin, André

2015-01-01T23:59:59.000Z

109

E-Print Network 3.0 - association dataset methodological Sample...  

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

dataset methodological Search Powered by Explorit Topic List Advanced Search Sample search results for: association dataset methodological Page: << < 1 2 3 4 5 > >> 1 IOWA STATE...

110

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

E-Print Network [OSTI]

would include (but not be limited to) drug regulatory agencies, research governance organisations, lawyers and scientists wishing to analyse the data under appropriate data sharing licences. The trial datasets therefore had to be understood as a whole so...

Drever, Jonathan

2014-08-26T23:59:59.000Z

111

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

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

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

112

A survey of results on mobile phone datasets analysis  

E-Print Network [OSTI]

In this paper, we review some advances made recently in the study of mobile phone datasets. This area of research has emerged a decade ago, with the increasing availability of large-scale anonymized datasets, and has grown into a stand-alone topic. We will survey the contributions made so far on the social networks that can be constructed with such data, the study of personal mobility, geographical partitioning, urban planning, and help towards development as well as security and privacy issues.

Blondel, Vincent D; Krings, Gautier

2015-01-01T23:59:59.000Z

113

Determining Mountaintop Mining Locations in West Virginia Using Elevation Datasets  

E-Print Network [OSTI]

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

Rowland, Danny

2009-11-18T23:59:59.000Z

114

Optimal transfer of an unknown state via a bipartite operation  

E-Print Network [OSTI]

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

Yang Liu; Yu Guo; D. L. Zhou

2012-09-11T23:59:59.000Z

115

Simulated NMIS Imaging Data for an Unknown Object  

SciTech Connect (OSTI)

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

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

2012-04-01T23:59:59.000Z

116

'g55wld0098.dat', Version 1.0, March 1999 1. The Dataset  

E-Print Network [OSTI]

1 'g55wld0098.dat', Version 1.0, March 1999 1. The Dataset: An historic monthly precipitation dataset for global land areas from 1900 to 1998, gridded at 5deg resolution (a 2.5 by 3.75deg resolution. Letts., 25, 3379-3382. The station dataset from which this gridded dataset has been constructed

Feigon, Brooke

117

RED: a Rich Epinions Dataset for Recommender Systems Simon Meyffret1,2  

E-Print Network [OSTI]

RED: a Rich Epinions Dataset for Recommender Systems Simon Meyffret1,2 , Emmanuel Guillot1}@liris.cnrs.fr ABSTRACT Recommender Systems require specific datasets to evaluate their approach. They do not require is not gathered in today datasets. In this paper, we provide a dataset containing reviews from users on items

Paris-Sud XI, Université de

118

A Comparison of Phylogenetic Reconstruction Methods on an IE Dataset Luay Nakhleh Tandy Warnow  

E-Print Network [OSTI]

A Comparison of Phylogenetic Reconstruction Methods on an IE Dataset Luay Nakhleh Tandy Warnow Dept the dataset, we study the consequences for phylogenetic reconstruction of restricting the data to lexical datasets that use only lexical characters being probably less accurate than analyses based upon datasets

Evans, Steven N.

119

The 30-year TAMSAT African Rainfall Climatology1 And Time-series (TARCAT) Dataset  

E-Print Network [OSTI]

Page 1 The 30-year TAMSAT African Rainfall Climatology1 And Time-series (TARCAT) Dataset 2 Authors 2 Key points1 Development of a satellite based 30 year rainfall dataset for Africa2 The dataset has been designed to be temporally consistency3 The dataset skilfully captures interannual

Allan, Richard P.

120

Exploring Constraints to Eciently Mine Emerging Patterns from Large High-dimensional Datasets  

E-Print Network [OSTI]

Exploring Constraints to EÃ?ciently Mine Emerging Patterns from Large High-dimensional Datasets proposed recently to capture changes or di#11;erences between datasets: an EP is a multi- variate feature whose support increases sharply from a back- ground dataset to a target dataset, and the support ratio

Dong, Guozhu

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

To appear in Proc. KDD-97 A dataset decomposition approach to  

E-Print Network [OSTI]

To appear in Proc. KDD-97 A dataset decomposition approach to data mining and machine discovery to analyze a given dataset, the method decomposes it to a hierar- chy of smaller and less complex datasets allocation dataset, showing that the decom- position can (1) discover meaningful intermedi- ate concepts, (2

Bohanec, Marko

122

An air itinerary choice model based on a mixed RP/SP dataset  

E-Print Network [OSTI]

An air itinerary choice model based on a mixed RP/SP dataset Bilge Atasoy Michel Bierlaire April/SP dataset. The aim of the combination of the two datasets is to exploit the variability of the SP data is modeled as a latent class. In this study we develop an itinerary choice model based on a real dataset

Bierlaire, Michel

123

Processing Steps For Creating Standardized 5-Minute-by-Lane Datasets  

E-Print Network [OSTI]

1 Processing Steps For Creating Standardized 5-Minute-by-Lane Datasets (program code in "city measures. · Dataset DS1: Import original source data into SAS using INFILE statement. In SAS, we give this first dataset a "DS1" label (DataSet1). Most, if not all, original source data is submitted as ASCII

124

'gu23wld0098.dat', Version 1.0, March 1999 1. The Dataset  

E-Print Network [OSTI]

'gu23wld0098.dat', Version 1.0, March 1999 1. The Dataset An historical monthly precipitation dataset for global land areas from 1900 to 1998, gridded at 2.5° latitude by 3.75° longitude resolution (a. Letts., 25, 3379-3382. The station dataset from which this gridded dataset has been constructed

Feigon, Brooke

125

On the Use of Perceptual Cues and Data Mining for Effective Visualization of Scientific Datasets  

E-Print Network [OSTI]

On the Use of Perceptual Cues and Data Mining for Effective Visualization of Scientific Datasets datasets are often difficult to analyse or visualize, due to their large size and high dimensionality. We areas of interest within the dataset. This allows us to reducea dataset's size and dimensionality

Healey, Christopher G.

126

Effects of the Training Dataset Characteristics on the Performance of Nine Species Distribution Models  

E-Print Network [OSTI]

Effects of the Training Dataset Characteristics on the Performance of Nine Species Distribution species need to be fitted to a training dataset before practical use. The training dataset of this paper is to study the effect of the training dataset characteristics on model performance and to compare

Kratochvíl, Lukas

127

The LIRIS Human activities dataset and the ICPR 2012 human activities recognition and localization competition  

E-Print Network [OSTI]

The LIRIS Human activities dataset and the ICPR 2012 human activities recognition and localization-69621, France March 28, 2012 Abstract We describe the LIRIS human activities dataset, the dataset used competitions and existing datasets, the tasks focus on complex human behavior involving several people

Wolf, Christian

128

Pacific Northwest Region MAPS dataset retrospective analysis Project Title: USFS Region Six MAPS Dataset Re-analysis for the Development of Management  

E-Print Network [OSTI]

Pacific Northwest Region MAPS dataset ­ retrospective analysis Project Title: USFS Region Six MAPS Dataset Re-analysis for the Development of Management and Climate Change Support Tools for Landbird) demographic dataset may reveal how predicted patterns of climate-related forest fragmentation, pest outbreak

DeSante, David F.

129

Figure 1. The dataset for the running example is excerpted at left, arranged in the typical manner for MVPA. The boxes at right introduce the dataset  

E-Print Network [OSTI]

Figure 1. The dataset for the running example is excerpted at left, arranged in the typical manner for MVPA. The boxes at right introduce the dataset representation used in later figures. In these boxes the "dataset-wise" scheme, the examples are relabeled prior to conducting the cross- validation, while

130

Bayesian evidence as a tool for comparing datasets  

E-Print Network [OSTI]

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

Phil Marshall; Nutan Rajguru; Anze Slosar

2007-10-30T23:59:59.000Z

131

Age correlation of petroleum of unknown source using biological markers  

SciTech Connect (OSTI)

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

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

1990-05-01T23:59:59.000Z

132

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

SciTech Connect (OSTI)

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

Caroline Draxl: NREL

2014-01-01T23:59:59.000Z

133

Using Large Datasets to Forecast Sectoral Employment Rangan Gupta*  

E-Print Network [OSTI]

Using Large Datasets to Forecast Sectoral Employment Rangan Gupta* Department of Economics Bayesian and classical methods to forecast employment for eight sectors of the US economy. In addition-sample period and January 1990 to March 2009 as the out-of- sample horizon, we compare the forecast performance

Ahmad, Sajjad

134

A Polygon-based Methodology for Mining Related Spatial Datasets  

E-Print Network [OSTI]

, such as countries, and in that they can be used for the modeling of spatial events, such as air pollution. MoreoverA Polygon-based Methodology for Mining Related Spatial Datasets Sujing Wang, Chun-Sheng Chen clusters. This paper claims that polygon analysis is particularly useful for mining related, spatial

Eick, Christoph F.

135

Global Sediment Thickness Dataset updated for the Australian-Antarctic  

E-Print Network [OSTI]

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

Müller, Dietmar

136

Capturing Datasets ... is only the half of it!   

E-Print Network [OSTI]

that the ‘project’ is merely a stepping stone in providing the ability to deliver their science. In the majority of cases the research continues from one grant to the next and therefore the datasets at any given time are merely snap shots of a lifelong commitment...

Simpson, Colin

2014-08-26T23:59:59.000Z

137

DECOMPOSITION OF MULTIVARIATE DATASETS WITH STRUCTURE/ORDERING  

E-Print Network [OSTI]

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

138

Eastern Renewable Generation Integration Study Solar Dataset (Presentation)  

SciTech Connect (OSTI)

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

Hummon, M.

2014-04-01T23:59:59.000Z

139

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

E-Print Network [OSTI]

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

Kroll, Jesse

140

Musculoskeletal simulation model generation from MRI datasets and motion capture data  

E-Print Network [OSTI]

Musculoskeletal simulation model generation from MRI datasets and motion capture data Jérôme Schmid

Paris-Sud XI, Université de

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Genetic variation in the odorant receptors family 13 and the MHC loci influence mate selection in a Multiple Sclerosis dataset  

E-Print Network [OSTI]

S2. Validation on MHC results with the IMAGEN dataset.In the screening IMSGC dataset, the MHC region (663 SNPs)in a multiple sclerosis dataset. BMC Genomics 2010 11:626.

2010-01-01T23:59:59.000Z

142

Prognostic breast cancer signature identified from 3D culture model accurately predicts clinical outcome across independent datasets  

E-Print Network [OSTI]

for individual genes in the dataset of Wang, et al. usingfor individual genes in the dataset of Sorlie, et al. usingfor individual genes in the dataset of Wang, et al. using

Martin, Katherine J.

2008-01-01T23:59:59.000Z

143

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

E-Print Network [OSTI]

OF THE 100 BUILDING DATASET CA Erdmann 1 , KC Steiner 1 ,and Evaluation (BASE) dataset, higher workday time-averaged100-building 1994-1998 BASE dataset. Multivariate logistic

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

2002-01-01T23:59:59.000Z

144

Attribute Preserving Dataset Simplification Jason D. Walter and Christopher G. Healey  

E-Print Network [OSTI]

Attribute Preserving Dataset Simplification Jason D. Walter and Christopher G. Healey Department of feature preserving mesh simplification to the problem of managing large, multidimensional datasets during scientific visualization. To allow this, we view a sci- entific dataset as a triangulated mesh of data

Healey, Christopher G.

145

THE MILLION SONG DATASET Thierry Bertin-Mahieux, Daniel P.W. Ellis  

E-Print Network [OSTI]

THE MILLION SONG DATASET Thierry Bertin-Mahieux, Daniel P.W. Ellis Columbia University LabROSA, EE {brian, paul}@echonest.com ABSTRACT We introduce the Million Song Dataset, a freely-available collection research dataset in our field. As an illustra- tion, we present year prediction as an example application

Ellis, Dan

146

CVS-Vintage: A Dataset of 14 CVS Repositories of Java Software  

E-Print Network [OSTI]

CVS-Vintage: A Dataset of 14 CVS Repositories of Java Software Martin Monperrus and Matias Martinez INRIA Technical Report, 2012. Abstract This paper presents a dataset of 14 CVS repositories of Java applications. This dataset aims at supporting the replication of early papers in the field of software

Paris-Sud XI, Université de

147

LCAV-31: A Dataset for Light Field Object Recognition Alireza Ghasemi , Nelly Afonso and Martin Vetterli  

E-Print Network [OSTI]

LCAV-31: A Dataset for Light Field Object Recognition Alireza Ghasemi , Nelly Afonso and Martin present LCAV-31, a multi-view object recognition dataset designed specifically for benchmarking light field image analysis tasks. The principal distinctive factor of LCAV-31 compared to similar datasets

Vetterli, Martin

148

A tail strength measure for assessing the overall significance in a dataset  

E-Print Network [OSTI]

A tail strength measure for assessing the overall significance in a dataset Jonathan Taylor Robert, and illustrate its use on a number of real datasets. 1 Introduction Dave et al. (2004) published a study we would expect to see by chance. Perhaps this is why the Golub dataset has become the most common

Tibshirani, Robeert

149

COMP-598: Applied Machine Learning Mini-project #1: Building a new ML dataset  

E-Print Network [OSTI]

COMP-598: Applied Machine Learning Mini-project #1: Building a new ML dataset Due on September 23, 11:59pm. Background: The goal of this project is to collect a new machine learning dataset, and identify an interesting prediction question that can be tackled using this dataset (regression

Pineau, Joelle

150

EVITA: A Prototype System for Efficient Visualization and Interrogation of Terascale Datasets  

E-Print Network [OSTI]

EVITA: A Prototype System for Efficient Visualization and Interrogation of Terascale Datasets Raghu and visualization techniques has not kept pace with the growth in size and complexity of such datasets. To address datasets. The cornerstone of the EVITA system is a representational scheme that allows ranked access

Fowler, James E.

151

OBIT DEVELOPMENT MEMO SERIES NO. 21 1 Efficacy of Obit Threading on an EVLA Dataset  

E-Print Network [OSTI]

OBIT DEVELOPMENT MEMO SERIES NO. 21 1 Efficacy of Obit Threading on an EVLA Dataset W. D. Cotton, R of the Obit wide bandwidth imager MFImage in realistic tests on an EVLA dataset including multiple iterations://www.cv.nrao.edu/bcotton/Obit.html) to do wide- band imaging of a recent EVLA dataset. This test uses multiple iterations of self

Groppi, Christopher

152

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

E-Print Network [OSTI]

VIVDR - Vortex-induced vibration data repository An overview of available riser datasets http://oe.mit.edu/VIV H. Mukundan and M. Triantafyllou 20 April 2008 #12;NDP 38m long riser model datasets #12;33 q Rig q Tension applied through spring-supported clump weights NDP 38m long riser model datasets

153

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

E-Print Network [OSTI]

ComSIS Vol. 1, No. 1, February 2004 75 Network Models of Massive Datasets Vladimir Boginski 1 overview of the methodology of modeling massive datasets arising in various applications as networks. This approach is often useful for extracting non-trivial information from the datasets by applying standard

Butenko, Sergiy

154

iVIBRATE: Interactive Visualization Based Framework for Clustering Large Datasets (Version 3)  

E-Print Network [OSTI]

iVIBRATE: Interactive Visualization Based Framework for Clustering Large Datasets (Version 3) Keke and high-quality clustering of large datasets continues to be one of the most important problems in large- scale data analysis. A commonly used methodology for cluster analysis on large datasets is the three

Liu, Ling

155

Bootstrapping for Significance of Compact Clusters in Multi-dimensional Datasets  

E-Print Network [OSTI]

Bootstrapping for Significance of Compact Clusters in Multi-dimensional Datasets Ranjan Maitra in the clustering of multi-dimensional datasets. The developed procedure compares two models and declares the more of the procedure is illustrated on two well-known classification datasets and comprehensively evaluated in terms

Maitra, Ranjan

156

Selecting the Number of Imputed Datasets When Using Multiple Imputation for Missing Data and Disclosure Limitation  

E-Print Network [OSTI]

Selecting the Number of Imputed Datasets When Using Multiple Imputation for Missing Data and disclosure limitation simultaneously. First, fill in the missing data to generate m completed datasets, then replace confidential values in each completed dataset with r imputations. I investigate how to select m

Reiter, Jerome P.

157

A tail strength measure for assessing the overall significance in a dataset  

E-Print Network [OSTI]

A tail strength measure for assessing the overall significance in a dataset Jonathan Taylor, and illustrate its use on a number of real datasets. 1 Introduction Dave et al. (2004) published a study than we would expect to see by chance. Perhaps this is why the Golub dataset has become the most common

Tibshirani, Robeert

158

Mining Image Datasets Using Perceptual Association Rules Jelena Tesic, Shawn Newsam and B. S. Manjunath  

E-Print Network [OSTI]

Mining Image Datasets Using Perceptual Association Rules Jelena Tesi´c, Shawn Newsam and B. S for applying traditional data mining techniques to the non-traditional domain of image datasets for the purpose association rules, are used to distill the frequent perceptual events in large image datasets in order to dis

California at Santa Barbara, University of

159

GeoLens: Enabling Interactive Visual Analytics over Large-scale, Multidimensional Geospatial Datasets  

E-Print Network [OSTI]

Datasets Jared Koontz, Matthew Malensek, and Sangmi Lee Pallickara Department of Computer Science, Colorado for scientists are needed. This is critical when scientists are manipulating voluminous datasets and especially when they need to explore datasets interactively to develop their hypotheses. In this paper, we present

Pallickara, Sangmi

160

DataHub: Collaborative Data Science & Dataset Version Management at Scale  

E-Print Network [OSTI]

DataHub: Collaborative Data Science & Dataset Version Management at Scale Anant Bhardwaj1 , Souvik teams collaboratively curate and analyze large datasets. In- spired by software version control systems like git, we propose (a) a dataset version control system, giving users the ability to create, branch

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

1/28/2014 CFCAM Workshop 2014 1 How to generate ^ PAW Atomic Datasets*  

E-Print Network [OSTI]

1/28/2014 CFCAM Workshop 2014 1 Good How to generate ^ PAW Atomic Datasets* N. A. W. Holzwarth 2014 2 Good How to generate ^ PAW Atomic Datasets Challenges Tricks Opportunities for collaboration Importance of having several independent codes (both for atomic dataset generation and for materials

Holzwarth, Natalie

162

A New Global Rayleigh and Love Wave Group Velocity Dataset For Constraining Lithosphere Properties  

E-Print Network [OSTI]

A New Global Rayleigh and Love Wave Group Velocity Dataset For Constraining Lithosphere Properties features and fit our data very well. This dataset will be used to constrain lithospheric structure globally the global datasets used in Ritzwoller et al. (2002) already consist of more than 100,000 paths, the nature

Laske, Gabi

163

iVIBRATE: Interactive Visualization Based Framework for Clustering Large Datasets  

E-Print Network [OSTI]

iVIBRATE: Interactive Visualization Based Framework for Clustering Large Datasets Keke Chen Ling of large datasets continues to be one of the most important problems in large- scale data analysis. A commonly used methodology for cluster analysis on large datasets is the three-phase framework of "sampling

164

Error estimation of bathymetric grid models derived from historic and contemporary datasets  

E-Print Network [OSTI]

1 Error estimation of bathymetric grid models derived from historic and contemporary datasets and rapidly collecting dense bathymetric datasets. Sextants were replaced by radio navigation, then transit, to digitized contours; the test dataset shows examples of all of these types. From this database, we assign

New Hampshire, University of

165

A Comprehensive Comparison of Ligand-Based Virtual Screening Tools Against the DUD Dataset  

E-Print Network [OSTI]

A Comprehensive Comparison of Ligand-Based Virtual Screening Tools Against the DUD Dataset Reveals) dataset comprising over 100,000 compounds distributed across 40 protein targets. The DUD was developed and the composition of the DUD dataset itself. We propose that in order to To whom correspondence should be addressed

Paris-Sud XI, Université de

166

Statistical Characteristics of Daily Precipitation: Comparisons of Gridded and Point Datasets  

E-Print Network [OSTI]

Statistical Characteristics of Daily Precipitation: Comparisons of Gridded and Point Datasets Gauge Dataset (URD) and those of its nearest (rain gauge) station. To further examine differences between the two datasets, return periods of daily precipitation were calculated over a region encompassing

Roy Chowdhury, Rinku

167

A classical dataset from Williams, and its role in the study of supersaturated designs.  

E-Print Network [OSTI]

A classical dataset from Williams, and its role in the study of supersaturated designs. Rolf Sundberg April 29, 2008 Abstract A Plackett­Burman type dataset from a paper by Williams (1968), with 28 observations and 24 two-level factors, has become a standard dataset for illustrating construction (by halving

Sundberg, Rolf

168

Using metadata to improve spatial dataset quality during updates Christelle Pierkot  

E-Print Network [OSTI]

1 Using metadata to improve spatial dataset quality during updates Christelle Pierkot LIRMM, D and degrade the dataset's quality. Within this broad issue, we limit our scope to the updating of geographic their integration into different datasets. In this context, our objective is to propose solutions to allow coherent

Paris-Sud XI, Université de

169

Robust Machine Learning Applied to Terascale Astronomical Datasets  

E-Print Network [OSTI]

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

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

2007-10-24T23:59:59.000Z

170

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

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

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

171

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

172

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

173

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

E-Print Network [OSTI]

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

Minnesota, University of

174

Two algorithms for the sorting of unknown train vibration signals into freight and passenger train  

E-Print Network [OSTI]

Two algorithms for the sorting of unknown train vibration signals into freight and passenger train in particular. To facilitate this, two algorithms have been constructed with the aim of sorting unknown train vibration signals into freight and passenger train categories so that they can be further analysed. 307

Paris-Sud XI, Université de

175

Lean and Steering Motorcycle Dynamics Reconstruction : An Unknown Input HOSMO Approach  

E-Print Network [OSTI]

Lean and Steering Motorcycle Dynamics Reconstruction : An Unknown Input HOSMO Approach L. Nehaoua1. For this purpose, we consider a unknown input high order sliding mode observer (UIHOSMO). First, a motorcycle- flected by an important increase of motorcycle's fatalities. Recent statistics confirm this fact

Paris-Sud XI, Université de

176

Parton distributions based on a maximally consistent dataset  

E-Print Network [OSTI]

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

Juan Rojo

2014-09-10T23:59:59.000Z

177

Filtergraph: An Interactive Web Application for Visualization of Astronomy Datasets  

E-Print Network [OSTI]

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

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

2013-01-01T23:59:59.000Z

178

Collection and Analysis of Two Complex Ecological Datasets  

E-Print Network [OSTI]

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

Fisher, Bob

179

Comparison of the Legacy and Gold SnIa Dataset Constraints on Dark Energy Models  

E-Print Network [OSTI]

We have performed a comparative analysis of three recent and reliable SnIa datasets available in the literature: the Full Gold (FG) dataset (157 data points $0dataset (140 data points $0dataset (115 data points $0datasets are consistent with each other at the 95% confidence level, the latest (SNLS) dataset shows distinct trends which are not shared by the Gold datasets. We find that the best fit dynamical $w(z)$ obtained from the SNLS dataset does not cross the PDL $w=-1$ and remains above and close to the $w=-1$ line for the whole redshift range $0datasets (FG and TG) clearly crosses the PDL and departs significantly from the PDL $w=-1$ line while the LCDM parameter values are about $2\\sigma$ away from the best fit $w(z)$. In addition, the $(\\Omega_{0m},\\Omega_\\Lambda)$ parameters in a LCDM parametrization without a flat prior, fit by the SNLS dataset, favor the minimal flat LCDM concordance model. The corresponding fit with the Gold datasets mildly favors a closed universe and the flat LCDM parameter values are $1\\sigma - 2\\sigma$ away from the best fit $(\\Omega_{0m},\\Omega_\\Lambda)$.

S. Nesseris; L. Perivolaropoulos

2005-12-02T23:59:59.000Z

180

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

The Group Evolution Multiwavelength Study (GEMS): the Sample and Datasets  

E-Print Network [OSTI]

Galaxy groups have been under-studied relative to their richer counterparts -- clusters. The Group Evolution Multiwavelength Study (GEMS) aims to redress some the balance. Here we describe the GEMS sample selection and resulting sample of 60 nearby (distance dataset of X-ray, optical and HI imaging. ROSAT X-ray images of each group are presented. GEMS also utilizes near-infrared imaging from the 2MASS survey and optical spectra from the 6dFGS. These observational data are complemented by mock group catalogues generated from the latest LCDM simulations with gas physics included. Existing GEMS publications are briefly highlighted as are future publication plans.

Duncan A. Forbes; Trevor Ponman; Frazer Pearce; John Osmond; Virginia Kilborn; Sarah Brough; Somak Raychaudhury; Carole Mundell; Trevor Miles; Katie Kern

2006-02-09T23:59:59.000Z

182

Constructing Collaborative Desktop Storage Caches for Large Scientific Datasets  

SciTech Connect (OSTI)

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

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

2006-08-01T23:59:59.000Z

183

Swedish Energy Agency - Organizations - OpenEI Datasets  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:Seadov Pty LtdSteen,Ltd Jump to: navigation, search Name:STS3OID, m28 CountyStartDatasets

184

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

Broader source: Energy.gov [DOE]

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

185

Supplemental Figures: Figure S1. Analysis of endo-siRNA targets in different microarray datasets. The  

E-Print Network [OSTI]

Supplemental Figures: Figure S1. Analysis of endo-siRNA targets in different microarray datasets. The percentage of each array dataset that were predicted endo-siRNA targets according to the Ambros dataset (Lee et al. 2006) was plotted [(number of endo-siRNA targets in microarray dataset / total genes

Bass, Brenda L.

186

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

E-Print Network [OSTI]

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

Andrews, Gregory

187

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

E-Print Network [OSTI]

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

Ahrens, Spencer Greg

2008-01-01T23:59:59.000Z

188

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

E-Print Network [OSTI]

We present the first results of an all-sky search for continuous gravitational waves from unknown spinning neutron stars in binary systems using LIGO and Virgo data. Using a specially developed analysis program, the TwoSpect ...

Aggarwal, Nancy

189

unknown title  

E-Print Network [OSTI]

On the optimal control of heat apportionment systems E.Naval The theory of optimal control for distributed parameters systems is adjusted for solving the problems of determining the controled temperature fields of hidrotehnical construction with the aim of appointment of the tehnical and technological operations, which assure their integrity. The problem is simulated with the help of the conduction equation with initial and boundary condition. The control function is introduced as the heat flowing, boundary influence or as the thermal diffusivity coefficient. 1

unknown authors

190

unknown title  

E-Print Network [OSTI]

L. L e i n emann und H. H. Ha t t eme r Genetic variation and mating pattern in a stand of yew (Taxus baccata L.)................................ 217 (Genetische Variation und Paarungssystem in einem Eiben-bestand (Taxus baccata)

C Mann; Unter Mitwirkung Der

191

unknown title  

E-Print Network [OSTI]

Transcription of the gene encoding melanomaassociated antigen gp100 in tissues and cell lines other than those of the melanocytic lineage

unknown authors

192

unknown title  

E-Print Network [OSTI]

Tyrosinase expression in the peripheral blood of stage III melanoma patients is associated with a poor prognosis: a clinical follow-up study of 110 patients

S Osella-abate; P Savoia; P Quaglino; Mt Fierro; C Leporati; M Ortoncelli; Mg Bernengo

193

unknown title  

E-Print Network [OSTI]

Quantitative methylation analyses of resection margins predict local recurrences and disease-specific deaths in patients with head and neck squamous cell carcinomas

Hk Tan; P Saulnier; A Auperin; L Lacroix; O Casiraghi; F Janot; P Fouret; S Temam

194

unknown title  

E-Print Network [OSTI]

Graphene coating makes carbon nanotube aerogels superelastic and resistant to fatigue Kyu Hun Kim, Youngseok Oh and M. F. Islam* Lightweight materials that are both highly compressible and resilient under large cyclic strains can be used in a variety of applications 1–8. Carbon nanotubes offer a combination of elasticity, mechanical resilience and low density 9, and these properties have been exploited in nanotube-based foams 10–14 and aerogels 15,16. However, all nanotube-based foams and aerogels developed so far undergo structural collapse 15 or significant plastic deformation with a reduction in compressive strength 10,11,13,14 when they are subjected to cyclic strain. Here, we show that an inelastic aerogel made of single-walled carbon nanotubes can be transformed into a superelastic material by coating it with between one and five layers of graphene nanoplates. The

unknown authors

2012-01-01T23:59:59.000Z

195

unknown title  

E-Print Network [OSTI]

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

Geoffrey J. Barnes Andrea Litva

196

unknown title  

E-Print Network [OSTI]

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

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

2001-01-01T23:59:59.000Z

197

unknown title  

E-Print Network [OSTI]

issue was published. See our lead story about changes in our publication schedule, necessitated by our other activities, primarily the CCC2 conference. This is the first MRB issue of 2008. ? The cover is a schematic of the fission theory for formation of planets and major moons. The left column is the sequence of events viewed in-plane, and the right column is the same sequence viewed from above. ? This is your final opportunity to sign-up for our international “Crisis in Cosmology – 2 ” (CCC2) conference from 2008 September 7-11 in Port Angeles, WA. Both participant and observer spaces remain available as of this writing, but may not remain so for very long. See

unknown authors

2008-01-01T23:59:59.000Z

198

unknown title  

E-Print Network [OSTI]

Graphene coating makes carbon nanotube aerogels superelastic and resistant to fatigue Kyu Hun Kim, Youngseok Oh and M. F. Islam* Lightweight materials that are both highly compressible and resilient under large cyclic strains can be used in a variety of applications 1–8. Carbon nanotubes offer a

unknown authors

2012-01-01T23:59:59.000Z

199

unknown title  

E-Print Network [OSTI]

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

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

200

unknown title  

E-Print Network [OSTI]

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

unknown authors

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

unknown title  

E-Print Network [OSTI]

Nuclear Fuels plc (BNFL), Sellafield and the United Kingdom Atomic Energy Authority (UKAEA), Windscale

unknown authors

202

unknown title  

E-Print Network [OSTI]

equivalent? recognized by various rwnt.ries. The wind-scale committee recommended that tile Internstiwal

unknown authors

1925-01-01T23:59:59.000Z

203

unknown title  

E-Print Network [OSTI]

www.elsevier.com/locate/envpol Heavy metal pollution disturbs immune response in wild ant populations

Jouni Sorvari A; Liisa M. Rantala B; Markus J. Rantala A; Harri Hakkarainen A; Tapio Eeva A

2006-01-01T23:59:59.000Z

204

unknown title  

E-Print Network [OSTI]

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

unknown authors

205

unknown title  

E-Print Network [OSTI]

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

206

unknown title  

E-Print Network [OSTI]

THE GOAL OF PROJECT APOLLO, to place a man on the surfaceof the Moon and return him safely to Earth, was a task for engineering and technology. The resultant transportation system was so robust in its capability that a rich scientific harvest also was gathered in the process. The visibility and magnitude of the Apollo program left the impression, even within the scientific community,that the major lunar scientific questions had been answered. Since the Surveyor project, NASA's unmanned planetary program has ignored the Moon, preferring to concentrate its admittedly limited resources on other bodies in the solar system. In 1972,lunar scientists proposed launching a remote-sensing satellite into lunar polar orbit. Carrying a small number of geochemical and geophysical sensors,the Lunar Polar Orbiter (LBO)was designed to expand to global coverage the limited Apollo orbital science data set. Remote-sensing information from the orbiting Service Modules of Apollos 15, 16,and 17 had been invaluable in revealing the scale and extent of the planetary processes whose nature and timing were decoded in analyses of the returned samples. Low orbital inclination and limited time at the Moon resulted in tantalizingly

unknown authors

207

unknown title  

E-Print Network [OSTI]

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

unknown authors

2008-01-01T23:59:59.000Z

208

unknown title  

E-Print Network [OSTI]

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

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

209

unknown title  

E-Print Network [OSTI]

This work describes the design and implementation of an energy-efficient, scalable encryption processor that utilizes variable voltage supply techniques and a high-efficiency embedded variable output DC/DC converter. The resulting implementation dissipates 134nJ/bit @ VDD = 2.5V, when encrypting at its maximum rate of 1Mb/s using a maximum datapath width of 512 bits. The embedded converter achieves an efficiency of 96 % at this peak load. The processor is 2-3 orders of magnitude more energy efficient than optimized assembly code run-ning on a low-power processor such as the StrongARM. 2.

unknown authors

210

unknown title  

E-Print Network [OSTI]

ABSTRACT: Crambe seed (Crambe abyssinica) is an excellent, recently established source of high-erucic acid oil. Erucic acid has a number of important and potential applications. To de-velop this potential, a rapid bench-scale method was desired whereby purified erucic acid in up to several 100-g quantities could be produced from crambe seed. Using the method devel-oped, oil was expressed from dried, intact seed; clarified, degummed, and bleached; and saponified and acidified to ob-tain the free fatty acids. Analysis by inductively coupled plasma of the free fatty acids showed negligible levels of phosphorus and most minerals. Erucic acid was twice crystallized from 95% ethanol at ?14°C, resulting in a purity of 87.1%. This process yielded 365 g erucic acid crystals per kg bleached oil. Nuclear magnetic resonance analysis showed that the prepared erucic acid had an excellent pattern of correlation with a commercial standard. The time needed to convert 1 kg of crambe seed to erucic acid is about 48 h. Crystal filtration and drying stages under the current process conditions require 30 % of the overall time. The method is suitable for producing adequate quantities of erucic acid for use in studies of its bench-scale conversion. There is obviously, still, a fruitful field of work to be explored in the formalization of refining procedures for crambe oil. It seems that crambe is destined to continue expansion into the high-erucic acid oil markets.

unknown authors

211

unknown title  

E-Print Network [OSTI]

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

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

2011-01-01T23:59:59.000Z

212

unknown title  

E-Print Network [OSTI]

(DOI: will be inserted by hand later) HD 172189: An eclipsing and spectroscopic binary with a ? Sct-type pulsating component in an open cluster

S. Martín-ruiz; P. J. Amado; J. C. Suárez; A. Moya; A. Arellano Ferro; I. Ribas; E. Poretti

2005-01-01T23:59:59.000Z

213

unknown title  

E-Print Network [OSTI]

Analytic expressions for the single particle energies with a quadrupole-quadrupole interaction and the relation to Elliott’s SU(3) model

E. Moya De Guerra; P. Sarriguren; L. Zamick; Typeset Using Revtex

2008-01-01T23:59:59.000Z

214

unknown title  

E-Print Network [OSTI]

rs ch un g s-sc hw er p un kt Fa ku ltä t 1 0 Fa ku ltä t 0 9 Fa ku ltä t 0 6 Fa ku ltä t 0 5 Fa ku ltä t 0 4 Fa ku ltä t 0 3 Fa ku ltä t 0 2 Fa ku ltä

unknown authors

215

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

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

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

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

216

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

E-Print Network [OSTI]

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

Ho, Hsiang; Milenkovic, Tijana; Memisevic, Vesna; Aruri, Jayavani; Przulj, Natasa; Ganesan, Anand K

2010-01-01T23:59:59.000Z

217

Probing cosmic acceleration by using the SNLS3 SNIa dataset  

SciTech Connect (OSTI)

We probe the cosmic acceleration by using the recently released SNLS3 sample of 472 type Ia supernovae. Combining this type Ia supernovae dataset with the cosmic microwave background anisotropy data from the Wilkinson Microwave Anisotropy Probe 7-yr observations, the baryon acoustic oscillation results from the Sloan Digital Sky Survey data release 7, and the Hubble constant measurement from the Wide Field Camera 3 on the Hubble Space Telescope, we measure the dark energy equation of state w and the deceleration parameter q as functions of redshift by using the Chevallier-Polarski-Linder parametrization. Our result is consistent with a cosmological constant at 1? confidence level, without evidence for the recent slowing down of the cosmic acceleration. Furthermore, we consider three binned parametrizations (w is piecewise constant in redshift z) based on different binning methods. The similar results are obtained, i.e., the ?CDM model is still nicely compatible with current observations.

Li, Xiao-Dong; Wang, Shuang; Zhang, Wen-Shuai [Department of Modern Physics, University of Science and Technology of China, Hefei 230026 (China); Li, Song; Huang, Qing-Guo; Li, Miao, E-mail: renzhe@mail.ustc.edu.cn, E-mail: sli@itp.ac.cn, E-mail: swang@mail.ustc.edu.cn, E-mail: wszhang@mail.ustc.edu.cn, E-mail: huangqg@itp.ac.cn, E-mail: mli@itp.ac.cn [Institute of Theoretical Physics, Chinese Academy of Science, Beijing 100080 (China)

2011-07-01T23:59:59.000Z

218

Non-local gravity and comparison with observational datasets  

E-Print Network [OSTI]

We study the cosmological predictions of two recently proposed non-local modifications of General Relativity. Both models have the same number of parameters as $\\Lambda$CDM, with a mass parameter $m$ replacing the cosmological constant. We implement the cosmological perturbations of the non-local models into a modification of the CLASS Boltzmann code, and we make a full comparison to CMB, BAO and supernova data. We find that the non-local models fit these datasets as well as $\\Lambda$CDM. For both non-local models parameter estimation using Planck+JLA+BAO data gives a value of $H_0$ higher than in $\\Lambda$CDM, and in better agreement with the values obtained from local measurements.

Yves Dirian; Stefano Foffa; Martin Kunz; Michele Maggiore; Valeria Pettorino

2014-11-27T23:59:59.000Z

219

MATCH: Metadata Access Tool for Climate and Health Datasets  

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

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

220

Biofuel Distribution Datasets from the Bioenergy Knowledge Discovery Framework  

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

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

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

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

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

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

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

222

Feedstock Production Datasets from the Bioenergy Knowledge Discovery Framework  

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

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

223

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

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

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

224

Programming with Keywords Greg Little  

E-Print Network [OSTI]

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

225

keyword | OpenEI Community  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,SaveWhiskey Flatshydro Home Water Power Foruminternational

226

OpenEI Community - keyword  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth'sOklahoma/Geothermal < Oklahomast, 2012Coastfred <divmeasureshas

227

MATERIALS ENGINEERING KEYWORDS: beryllium, stainless  

E-Print Network [OSTI]

SURFACES SUBJECTED TO NONUNIFORM THERMAL DEFORMATIONS ROBERT DEAN ABELSON and MOHAMED A. ABDOU* University.*E-mail: abdou@fusion.ucla.edu FUSION TECHNOLOGY VOL. 39 MAR. 2001 157 #12;To understand the interface

Abdou, Mohamed

228

A method for teleporting an unknown quantum state and its application  

E-Print Network [OSTI]

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

Feng-Li Yan; Hai-Rui Huo

2005-04-28T23:59:59.000Z

229

Data Mining for Selective Visualization of Large Spatial Datasets Shashi Shekhar  

E-Print Network [OSTI]

Data Mining for Selective Visualization of Large Spatial Datasets Shashi Shekhar £ , Chang-Tien Lu exploring data for pattern and trend analysis, and it is a common method of browsing spatial datasets the summarization of spatial patterns and temporal trends. We also present data mining algorithms for filtering out

Shekhar, Shashi

230

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

E-Print Network [OSTI]

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

Singer, Andrew C

231

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

E-Print Network [OSTI]

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

Ulieru, Mihaela

232

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

E-Print Network [OSTI]

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

López-Ortiz, Alex

233

Host suppression and bioinformatics for sequence-based characterization of unknown pathogens.  

SciTech Connect (OSTI)

Bioweapons and emerging infectious diseases pose formidable and growing threats to our national security. Rapid advances in biotechnology and the increasing efficiency of global transportation networks virtually guarantee that the United States will face potentially devastating infectious disease outbreaks caused by novel ('unknown') pathogens either intentionally or accidentally introduced into the population. Unfortunately, our nation's biodefense and public health infrastructure is primarily designed to handle previously characterized ('known') pathogens. While modern DNA assays can identify known pathogens quickly, identifying unknown pathogens currently depends upon slow, classical microbiological methods of isolation and culture that can take weeks to produce actionable information. In many scenarios that delay would be costly, in terms of casualties and economic damage; indeed, it can mean the difference between a manageable public health incident and a full-blown epidemic. To close this gap in our nation's biodefense capability, we will develop, validate, and optimize a system to extract nucleic acids from unknown pathogens present in clinical samples drawn from infected patients. This system will extract nucleic acids from a clinical sample, amplify pathogen and specific host response nucleic acid sequences. These sequences will then be suitable for ultra-high-throughput sequencing (UHTS) carried out by a third party. The data generated from UHTS will then be processed through a new data assimilation and Bioinformatic analysis pipeline that will allow us to characterize an unknown pathogen in hours to days instead of weeks to months. Our methods will require no a priori knowledge of the pathogen, and no isolation or culturing; therefore it will circumvent many of the major roadblocks confronting a clinical microbiologist or virologist when presented with an unknown or engineered pathogen.

Branda, Steven S.; Lane, Todd W.; Misra, Milind; Meagher, Robert J.; Patel, Kamlesh D.; Kaiser, Julia N.

2009-11-01T23:59:59.000Z

234

A Method For Eclipsing Component Identification In Large Photometric Datasets  

E-Print Network [OSTI]

We describe an automated method for assigning the most likely physical parameters to the components of an eclipsing binary (EB), using only its photometric light curve and combined color. In traditional methods (e.g. WD and EBOP) one attempts to optimize a multi-parameter model over many iterations, so as to minimize the chi-squared value. We suggest an alternative method, where one selects pairs of coeval stars from a set of theoretical stellar models, and compares their simulated light curves and combined colors with the observations. This approach greatly reduces the EB parameter-space over which one needs to search, and allows one to determine the components' masses, radii and absolute magnitudes, without spectroscopic data. We have implemented this method in an automated program using published theoretical isochrones and limb-darkening coefficients. Since it is easy to automate, this method lends itself to systematic analyses of datasets consisting of photometric time series of large numbers of stars, such as those produced by OGLE, MACHO, TrES, HAT, and many others surveys.

Jonathan Devor; David Charbonneau

2005-10-04T23:59:59.000Z

235

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

Broader source: Energy.gov [DOE]

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

236

Content of Submission The content of the RAE08 submission was comprised of the following nine datasets,  

E-Print Network [OSTI]

datasets, known as forms. Form Content of data set RA0 Overall staff summary to include: - The FTE number

237

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

Broader source: Energy.gov [DOE]

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

238

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

Broader source: Energy.gov [DOE]

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

239

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

Broader source: Energy.gov [DOE]

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

240

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

Broader source: Energy.gov [DOE]

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

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Texas Transportation Poll (TTP) Data Documentation The dataset and code book has been provided, so that researchers interested in conducting their own  

E-Print Network [OSTI]

Texas Transportation Poll (TTP) Data Documentation The dataset and code book) contains basic information about all the variables in the dataset. The second part been cleaned. The expanded weight has also been included in the dataset

242

Gathering Datasets for Activity Identification Lorcan Coyle, Juan Ye, Susan McKeever, Stephen Knox, Matthew Stabeler,  

E-Print Network [OSTI]

Gathering Datasets for Activity Identification Lorcan Coyle, Juan Ye, Susan McKeever, Stephen Knox is proceedings well, without publicly available datasets on which to compare results it is difficult to consolidate the disparate work being done. This prob- lem exists because realistic datasets describing human

Hammerton, James

243

Dataset Lifecycle Policy Development & Implementation at the PO.DAAC AGU Paper Number: IN53C-1579  

E-Print Network [OSTI]

Dataset Lifecycle Policy Development & Implementation at the PO.DAAC AGU Paper Number: IN53C-1579 Dataset Lifecycle Policy Development & Implementation at the PO.DAAC National Aeronautics and Space Aeronautics and Space Administration Jet Propulsion Laboratory/California Institute of Technology II. Dataset

Wright, Dawn Jeannine

244

978-1-4799-1270-4/13/$31.00 c 2013 IEEE Let's ChronoSync: Decentralized Dataset State  

E-Print Network [OSTI]

978-1-4799-1270-4/13/$31.00 c 2013 IEEE Let's ChronoSync: Decentralized Dataset State of knowledge about the dataset such as text messages, changes to the shared folder, or document edits. We to efficiently synchronize the state of a dataset among a distributed group of users. Using appropriate naming

California at Los Angeles, University of

245

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

E-Print Network [OSTI]

Page 1 ­ TXCRDC ­ Notes on Datasets Available in CRDCs Texas A&M University Census Research Data Center Datasets Available in Census Research Data Centers Overview This document brings together short. They include: 1. Links to Detailed Information about Available Datasets 2. Quick Summary Listings of Available

Bermúdez, José Luis

246

Using Representative-Based Clustering for Nearest Neighbor Dataset Editing Christoph F. Eick , Nidal Zeidat, and Ricardo Vilalta  

E-Print Network [OSTI]

Using Representative-Based Clustering for Nearest Neighbor Dataset Editing Christoph F. Eick, vilalta}@cs.uh.edu Abstract The goal of dataset editing in instance-based learning is to remove objects-based clustering algorithms for nearest neighbor dataset editing. We term this approach supervised clustering

Vilalta, Ricardo

247

AMM1 and MAMM Mosaics Three versions of the AMM1 and MAMM Ascending dataset are available, a  

E-Print Network [OSTI]

AMM1 and MAMM Mosaics Three versions of the AMM1 and MAMM Ascending dataset are available converted to a ° mosaic and a log-scaled 8-bit version. Dataset Rad. Smoothed Log-scaled 8-bit ° AMM1 Final The following equations were used to compute amplitude for the different datasets following inversion

Howat, Ian M.

248

License Terms This dataset is made freely available to academic and non-academic entities for non-commercial  

E-Print Network [OSTI]

License Terms This dataset is made freely available to academic and non-academic entities for non publication in any published work that makes use of the dataset. 3. That if you have altered the content of the dataset or created derivative work, prominent notice is made so that any recipients know

Hefei Institute of Intelligent Machines

249

BroadPeak: a novel algorithm for identifying broad peaks in dif-fuse ChIP-seq datasets  

E-Print Network [OSTI]

1 BroadPeak: a novel algorithm for identifying broad peaks in dif- fuse ChIP-seq datasets JianrongIP-seq datasets. We show that BroadPeak is a linear time algorithm that requires only two parame- ters, and we validate its performance on real and simulated histone modification ChIP-seq datasets. BroadPeak calls

Jordan, King

250

A Public Toolkit and ITS Dataset for EEG Yueran Yuan, Kai-min Chang, Yanbo Xu, Jack Mostow  

E-Print Network [OSTI]

A Public Toolkit and ITS Dataset for EEG Yueran Yuan, Kai-min Chang, Yanbo Xu, Jack Mostow Language a classifier to estimate a student's amount of prior exposure to a given word. We make this dataset and toolkit setting. In this paper, we present a dataset from 3 years of school usage of Project LISTEN's Reading

251

Evaluation of Model based Tracking with TrakMark Dataset Antoine Petit Guillaume Caron Hideaki Uchiyama Eric Marchand  

E-Print Network [OSTI]

Evaluation of Model based Tracking with TrakMark Dataset Antoine Petit Guillaume Caron Hideaki in the INRIA La- gadic team with a TrakMark dataset. Since these methods are based on a 3D model based approach, we selected a dataset named "Con- ference Venue Package 01" that includes a 3D textured model

Paris-Sud XI, Université de

252

CLIMATE MODELING BEST ESTIMATE DATASET (CMBE) -NEW ADDITIONS Renata McCoy, Shaocheng Xie, Stephen Klein, Lawrence Livermore National Laboratory  

E-Print Network [OSTI]

CLIMATE MODELING BEST ESTIMATE DATASET (CMBE) - NEW ADDITIONS Renata McCoy, Shaocheng Xie, Stephen ARM product, the Climate Modeling Best Estimate (CMBE) dataset, is being augmented with the additional observational and model data. The CMBE dataset was created to serve the needs of climate model developers

253

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

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

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

254

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

E-Print Network [OSTI]

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

G. Bellini; Borexino Collaboration

2010-09-30T23:59:59.000Z

255

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

E-Print Network [OSTI]

Introduction The purpose of this work is to enable extraction of unknown MEA parameters from EIS RMS deviation): Total 18.8 % Polarisation curve 4.12 % Mean EIS 18.3 % EIS at 0.09 A/cm2 12.5 % EIS at 0.32 A/cm2 23.9 % EIS at 0.51 A/cm2 16.7% Table 3: Fit quality Discussion The fit

Berning, Torsten

256

Exudate-based diabetic macular edema detection in fundus images using publicly available datasets  

SciTech Connect (OSTI)

Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy. In a large scale screening environment DME can be assessed by detecting exudates (a type of bright lesions) in fundus images. In this work, we introduce a new methodology for diagnosis of DME using a novel set of features based on colour, wavelet decomposition and automatic lesion segmentation. These features are employed to train a classifier able to automatically diagnose DME through the presence of exudation. We present a new publicly available dataset with ground-truth data containing 169 patients from various ethnic groups and levels of DME. This and other two publicly available datasets are employed to evaluate our algorithm. We are able to achieve diagnosis performance comparable to retina experts on the MESSIDOR (an independently labelled dataset with 1200 images) with cross-dataset testing (e.g., the classifier was trained on an independent dataset and tested on MESSIDOR). Our algorithm obtained an AUC between 0.88 and 0.94 depending on the dataset/features used. Additionally, it does not need ground truth at lesion level to reject false positives and is computationally efficient, as it generates a diagnosis on an average of 4.4 s (9.3 s, considering the optic nerve localization) per image on an 2.6 GHz platform with an unoptimized Matlab implementation.

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

2011-01-01T23:59:59.000Z

257

What is ICA&D? The International Climate Assessment & Dataset (ICA&D) climate services concept combines the work of WMO's Expert  

E-Print Network [OSTI]

What is ICA&D? The International Climate Assessment & Dataset (ICA&D) climate services concept on the software developed for the European Climate Assessment & Dataset (ECA&D) and is already applied in four & Dataset (SACA&D) for WMO Region V and the Latin American Climate Assessment & Dataset (LACA&D) for WMO

Haak, Hein

258

A Category-Level 3-D Object Dataset: Putting the Kinect to Work Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell  

E-Print Network [OSTI]

A Category-Level 3-D Object Dataset: Putting the Kinect to Work Allison Janoch, Sergey Karayev for a chal- lenging category-level 3D object detection dataset to the fore. We review current 3D datasets our dataset of color and depth image pairs, gathered in real domestic and office environ- ments

O'Brien, James F.

259

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

Broader source: Energy.gov [DOE]

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

260

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

Broader source: Energy.gov [DOE]

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

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

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

Broader source: Energy.gov [DOE]

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

262

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

Broader source: Energy.gov [DOE]

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

263

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

Broader source: Energy.gov [DOE]

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

264

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

E-Print Network [OSTI]

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

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

2014-11-29T23:59:59.000Z

265

Tension and Systematics in the Gold06 SnIa Dataset  

E-Print Network [OSTI]

The Gold06 SnIa dataset recently released in astro-ph/0611572 consists of five distinct subsets defined by the group or instrument that discovered and analyzed the corresponding data. These subsets are: the SNLS subset (47 SnIa), the HST subset (30 SnIa), the HZSST subset (41 SnIa), the SCP subset (26 SnIa) and the Low Redshift (LR) subset (38 SnIa). These subsets sum up to the 182 SnIa of the Gold06 dataset. We use Monte-Carlo simulations to study the statistical consistency of each one of the above subsets with the full Gold06 dataset. In particular, we compare the best fit $w(z)$ parameters (w_0,w_1) obtained by subtracting each one of the above subsets from the Gold06 dataset (subset truncation), with the corresponding best fit parameters (w^r_0,w^r_1) obtained by subtracting the same number of randomly selected SnIa from the same redshift range of the Gold06 dataset (random truncation). We find that the probability for (w^r_0,w^r_1)=(w_0,w_1) is large for the Gold06 minus SCP (Gold06-SCP) truncation but is less than 5% for the Gold06-SNLS, Gold06-HZSST and Gold06-HST truncations. This result implies that the Gold06 dataset is not statistically homogeneous. By comparing the values of the best fit (w_0,w_1) for each subset truncation we find that the tension among subsets is such that the SNLS and HST subsets are statistically consistent with each other and `pull' towards LCDM (w_0=-1,w_1=0) while the HZSST subset is statistically distinct and strongly `pulls' towards a varying w(z) crossing the line $w=-1$ from below (w_00). We also isolate six SnIa that are mostly responsible for this behavior of the HZSST subset.

S. Nesseris; L. Perivolaropoulos

2007-01-09T23:59:59.000Z

266

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

SciTech Connect (OSTI)

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

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

2011-01-01T23:59:59.000Z

267

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

E-Print Network [OSTI]

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

Boyer, Edmond

268

Exploring the Latest Union2 SNIa Dataset by Using Model-Independent Parametrization Methods  

E-Print Network [OSTI]

We explore the cosmological consequences of the recently released Union2 sample of 557 Type Ia supernovae (SNIa). Combining this latest SNIa dataset with the Cosmic microwave background (CMB) anisotropy data from the Wilkinson Microwave Anisotropy Probe 7 year (WMAP7) observations and the baryon acoustic oscillation (BAO) results from the Sloan Digital Sky Survey (SDSS) Data Release 7 (DR7), we measure the dark energy density function $f(z)\\equiv \\rho_{de}(z)/\\rho_{de}(0)$ as a free function of redshift. Two model-independent parametrization methods (the binned parametrization and the polynomial interpolation parametrization) are used in this paper. By using the $\\chi^2$ statistic and the Bayesian information criterion, we find that the current observational data are still too limited to distinguish which parametrization method is better, and a simple model has advantage in fitting observational data than a complicated model. Moreover, it is found that all these parametrizations demonstrate that the Union2 dataset is still consistent with a cosmological constant at 1$\\sigma$ confidence level. Therefore, the Union2 dataset is different from the Constitution SNIa dataset, which more favors a dynamical dark energy.

Shuang Wang; Xiao-Dong Li; Miao Li

2011-01-04T23:59:59.000Z

269

Partition dataset according to amino acid type improves the prediction of deleterious non-synonymous SNPs  

SciTech Connect (OSTI)

Highlights: Black-Right-Pointing-Pointer Proper dataset partition can improve the prediction of deleterious nsSNPs. Black-Right-Pointing-Pointer Partition according to original residue type at nsSNP is a good criterion. Black-Right-Pointing-Pointer Similar strategy is supposed promising in other machine learning problems. -- Abstract: Many non-synonymous SNPs (nsSNPs) are associated with diseases, and numerous machine learning methods have been applied to train classifiers for sorting disease-associated nsSNPs from neutral ones. The continuously accumulated nsSNP data allows us to further explore better prediction approaches. In this work, we partitioned the training data into 20 subsets according to either original or substituted amino acid type at the nsSNP site. Using support vector machine (SVM), training classification models on each subset resulted in an overall accuracy of 76.3% or 74.9% depending on the two different partition criteria, while training on the whole dataset obtained an accuracy of only 72.6%. Moreover, the dataset was also randomly divided into 20 subsets, but the corresponding accuracy was only 73.2%. Our results demonstrated that partitioning the whole training dataset into subsets properly, i.e., according to the residue type at the nsSNP site, will improve the performance of the trained classifiers significantly, which should be valuable in developing better tools for predicting the disease-association of nsSNPs.

Yang, Jing; Li, Yuan-Yuan [School of Biotechnology, East China University of Science and Technology, Shanghai 200237 (China) [School of Biotechnology, East China University of Science and Technology, Shanghai 200237 (China); Shanghai Center for Bioinformation Technology, Shanghai 200235 (China); Li, Yi-Xue, E-mail: yxli@sibs.ac.cn [School of Biotechnology, East China University of Science and Technology, Shanghai 200237 (China) [School of Biotechnology, East China University of Science and Technology, Shanghai 200237 (China); Shanghai Center for Bioinformation Technology, Shanghai 200235 (China); Ye, Zhi-Qiang, E-mail: yezq@pkusz.edu.cn [Laboratory of Chemical Genomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen 518055 (China) [Laboratory of Chemical Genomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen 518055 (China); Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031 (China)

2012-03-02T23:59:59.000Z

270

arXiv:astro-ph/0106481v126Jun2001 MASSIVE DATASETS IN ASTRONOMY  

E-Print Network [OSTI]

arXiv:astro-ph/0106481v126Jun2001 Chapter 1 MASSIVE DATASETS IN ASTRONOMY Robert J. Brunner, S 21218 USA szalay@pha.jhu.edu Abstract Astronomy has a long history of acquiring, systematizing archives and services representing a new in- formation infrastructure for astronomy of the 21st century

Prince, Thomas A.

271

Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets Tomasz Stepinski  

E-Print Network [OSTI]

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

Ding, Wei

272

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

E-Print Network [OSTI]

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

Anderson, Richard

273

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

E-Print Network [OSTI]

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

Gesbert, David

274

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

E-Print Network [OSTI]

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

Franklin, W. Randolph

275

Z:\\gis553s12\\lab5\\demo\\grid2poly.py Wednesday, January 18, 2012 4:49 PM # Create a square quadrat (polygon) dataset based on the input feature class.  

E-Print Network [OSTI]

(polygon) dataset based on the input feature class. # The output polygon dataset cover all of the input where your point dataset is stored." print "2. The NAME of your point dataset." print "3. The SIZE, one_input("Enter the name of your point dataset (include .shp if a shapefile): ") quadrat = raw_input("Enter the size

Hung, I-Kuai

276

Z:\\gis553_lab\\lab5\\grid2poly.py Tuesday, February 18, 2014 8:30 PM # Create a square quadrat (polygon) dataset based on the input feature class.  

E-Print Network [OSTI]

(polygon) dataset based on the input feature class. # The output polygon dataset covers all of the input where your point dataset is stored. " print "2. The NAME of your point dataset." print "3. The SIZE, one = raw_input("Enter the name of your point dataset (include .shp if a shapefile):") quadrat = raw

Hung, I-Kuai

277

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

E-Print Network [OSTI]

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

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

2014-09-17T23:59:59.000Z

278

A Statistical Selection Strategy for Normalization Procedures in LC-MS Proteomics Experiments through Dataset Dependent Ranking of Normalization Scaling Factors  

SciTech Connect (OSTI)

Quantification of LC-MS peak intensities assigned during peptide identification in a typical comparative proteomics experiment will deviate from run-to-run of the instrument due to both technical and biological variation. Thus, normalization of peak intensities across a LC-MS proteomics dataset is a fundamental step in pre-processing. However, the downstream analysis of LC-MS proteomics data can be dramatically affected by the normalization method selected . Current normalization procedures for LC-MS proteomics data are presented in the context of normalization values derived from subsets of the full collection of identified peptides. The distribution of these normalization values is unknown a priori. If they are not independent from the biological factors associated with the experiment the normalization process can introduce bias into the data, which will affect downstream statistical biomarker discovery. We present a novel approach to evaluate normalization strategies, where a normalization strategy includes the peptide selection component associated with the derivation of normalization values. Our approach evaluates the effect of normalization on the between-group variance structure in order to identify candidate normalization strategies that improve the structure of the data without introducing bias into the normalized peak intensities.

Webb-Robertson, Bobbie-Jo M.; Matzke, Melissa M.; Jacobs, Jon M.; Pounds, Joel G.; Waters, Katrina M.

2011-12-01T23:59:59.000Z

279

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

E-Print Network [OSTI]

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

Sinskey, Anthony J.

280

XML to XHTML rendition and stylesheets via XSLFO by RenderX -author of XML to PDF formatter. Originally used stylesheets by P.Mansfield. Keywords: Document Modeling, Service, Architecture, Web, ATOM, SOA  

E-Print Network [OSTI]

-publishing model to a Service Oriented Architecture (SOA). We will describe the development of Center in a Box (CIB. Moving toward a more flexible architecture #12;8.1. Moving Toward a Service Oriented Architecture 9. Atom. Originally used stylesheets by P.Mansfield. Keywords: Document Modeling, Service, Architecture, Web, ATOM

Glushko, Robert J.

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

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

E-Print Network [OSTI]

ANALYSES OF THE 100 BUILDING DATASET MG Apte and CA ErdmannEvaluation (BASE) Study dataset, we performed multivariatewheeze). We explore, in a dataset collected in 100 US office

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

2002-01-01T23:59:59.000Z

282

Going into depth: Evaluating 2D and 3D cues for object classification on a new, large-scale object dataset  

E-Print Network [OSTI]

dataset Bj¨orn Browatzki MPI for Biological Cybernetics T¨ubingen, Germany bjoern part of this paper, we introduce a novel, large dataset containing 18 categories of objects found in typ- ical household and office environments--we envision this dataset to be useful in many

283

IEEE SENSORS JOURNAL, VOL. 10, NO. 12, DECEMBER 2010 1891 A Dataset for the Design of Smart Ion-Selective Electrode Arrays for  

E-Print Network [OSTI]

IEEE SENSORS JOURNAL, VOL. 10, NO. 12, DECEMBER 2010 1891 A Dataset for the Design of Smart Ion (ISEs). The development of the core of a SSA, the signal processing algorithm, often requires a dataset with arrays of ISEs. The acquired dataset is publicly available in a web page where published results

Paris-Sud XI, Université de

284

Describing the Cloud of Linked Datasets While there is a growing number of published and offered as openly available Linked Open Data  

E-Print Network [OSTI]

Describing the Cloud of Linked Datasets While there is a growing number of published and offered as openly available Linked Open Data datasets1 ; many challenges remain to be tackled on making such data what the data is all about? with most datasets having poor and superficial metadata describing content

Nejdl, Wolfgang

285

New LM Unit Root Tests in the Presence of a Possible Break of Unknown Date and Size  

E-Print Network [OSTI]

New LM Unit Root Tests in the Presence of a Possible Break of Unknown Date and Size John T. Cuddington and Shuichiro Nishioka December 6, 2005 Abstract: Lagrange Multiplier (LM) unit root tests performs poorly when used in LM unit root tests and propose an alternative procedure that uses the sup

286

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

287

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

E-Print Network [OSTI]

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

Cipolla, Roberto

288

Does the Danube exist? Versions of reality given by various regional climate models and climatological datasets  

E-Print Network [OSTI]

We present an intercomparison and verification analysis of several regional climate models (RCMs) nested into the same run of the same Atmospheric Global Circulation Model (AGCM) regarding their representation of the statistical properties of the hydrological balance of the Danube river basin for 1961-1990. We also consider the datasets produced by the driving AGCM, from the ECMWF and NCEP-NCAR reanalyses. The hydrological balance is computed by integrating the precipitation and evaporation fields over the area of interest. Large discrepancies exist among RCMs for the monthly climatology as well as for the mean and variability of the annual balances, and only few datasets are consistent with the observed discharge values of the Danube at its Delta, even if the driving AGCM provides itself an excellent estimate. Since the considered approach relies on the mass conservation principle and bypasses the details of the air-land interface modeling, we propose that the atmospheric components of RCMs still face diffic...

Lucarini, V; Kriegerova, I; Speranza, A; Danihlik, Robert; Kriegerova, Ida; Lucarini, Valerio; Speranza, Antonio

2006-01-01T23:59:59.000Z

289

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

SciTech Connect (OSTI)

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

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

2013-10-01T23:59:59.000Z

290

Production of BaBar Skimmed Analysis Datasets Using the Grid  

SciTech Connect (OSTI)

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

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

2011-11-10T23:59:59.000Z

291

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

SciTech Connect (OSTI)

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

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

2011-01-01T23:59:59.000Z

292

Bulk Data Movement for Climate Dataset: Efficient Data Transfer Management with Dynamic Transfer Adjustment  

SciTech Connect (OSTI)

Many scientific applications and experiments, such as high energy and nuclear physics, astrophysics, climate observation and modeling, combustion, nano-scale material sciences, and computational biology, generate extreme volumes of data with a large number of files. These data sources are distributed among national and international data repositories, and are shared by large numbers of geographically distributed scientists. A large portion of data is frequently accessed, and a large volume of data is moved from one place to another for analysis and storage. One challenging issue in such efforts is the limited network capacity for moving large datasets to explore and manage. The Bulk Data Mover (BDM), a data transfer management tool in the Earth System Grid (ESG) community, has been managing the massive dataset transfers efficiently with the pre-configured transfer properties in the environment where the network bandwidth is limited. Dynamic transfer adjustment was studied to enhance the BDM to handle significant end-to-end performance changes in the dynamic network environment as well as to control the data transfers for the desired transfer performance. We describe the results from the BDM transfer management for the climate datasets. We also describe the transfer estimation model and results from the dynamic transfer adjustment.

Sim, Alexander; Balman, Mehmet; Williams, Dean; Shoshani, Arie; Natarajan, Vijaya

2010-07-16T23:59:59.000Z

293

Geochemical Fingerprinting of Coltan Ores by Machine Learning on Uneven Datasets  

SciTech Connect (OSTI)

Two modern machine learning techniques, Linear Programming Boosting (LPBoost) and Support Vector Machines (SVMs), are introduced and applied to a geochemical dataset of niobium-tantalum ('coltan') ores from Central Africa to demonstrate how such information may be used to distinguish ore provenance, i.e., place of origin. The compositional data used include uni- and multivariate outliers and elemental distributions are not described by parametric frequency distribution functions. The 'soft margin' techniques of LPBoost and SVMs can be applied to such data. Optimization of their learning parameters results in an average accuracy of up to c. 92%, if spot measurements are assessed to estimate the provenance of ore samples originating from two geographically defined source areas. A parameterized performance measure, together with common methods for its optimization, was evaluated to account for the presence of uneven datasets. Optimization of the classification function threshold improves the performance, as class importance is shifted towards one of those classes. For this dataset, the average performance of the SVMs is significantly better compared to that of LPBoost.

Savu-Krohn, Christian, E-mail: christian.savu-krohn@unileoben.ac.at; Rantitsch, Gerd, E-mail: gerd.rantitsch@unileoben.ac.at [Montanuniversitaet Leoben, Department of Applied Geosciences and Geophysics (Austria); Auer, Peter, E-mail: auer@unileoben.ac.at [Chair for Information Technology, Montanuniversitaet Leoben (Austria); Melcher, Frank, E-mail: frank.melcher@bgr.de; Graupner, Torsten, E-mail: torsten.graupner@bgr.de [Federal Institute for Geosciences and Natural Resources (Germany)

2011-09-15T23:59:59.000Z

294

Regional Pattern Discovery in Geo-Referenced Datasets Oner Ulvi Celepcikay1  

E-Print Network [OSTI]

, 77204-3010 (onerulvi, ceick, ordonez)@cs.uh.edu Abstract. Existing data mining techniques mostly focus identifies regional correlation patterns. Keywords: Spatial Data Mining, Correlation Patterns, Regional using current methodologies. The goal of spatial data mining is to automate the extraction

Eick, Christoph F.

295

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

SciTech Connect (OSTI)

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

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

2014-03-31T23:59:59.000Z

296

Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected In-the-Wild  

E-Print Network [OSTI]

Computer classification of facial expressions requires large amounts of data and this data needs to reflect the diversity of conditions seen in real applications. Public datasets help accelerate the progress of research ...

McDuff, Daniel Jonathan

297

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

E-Print Network [OSTI]

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

McGraw, Kevin J.

298

Datasets - OpenEI Datasets  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has beenFfe2fb55-352f-473b-a2dd-50ae8b27f0a6 No revision has been approved for thisDatabus - Q

299

The Market for Keywords and Ran Spiegler  

E-Print Network [OSTI]

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

Levit, Anna

300

Keywords Matrix Factorizations and Updates, Block Structured ...  

E-Print Network [OSTI]

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

2010-08-11T23:59:59.000Z

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Keyword query interpretation over structured data  

E-Print Network [OSTI]

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

Nejdl, Wolfgang

302

FISSION REACTORS KEYWORDS: high-temperature  

E-Print Network [OSTI]

pipeline delivery pressure is assumed to be 7 MPa for the evaluation of the plant performance. The reactor conversion system, and the progress in the electrolysis cell materials field can help the econom- ical on petroleum, and to prepare for the time at which oil reserves become de- pleted. Nuclear energy

Yildiz, Bilge

303

Index des mots-cls Keywords index  

E-Print Network [OSTI]

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

Boyer, Edmond

304

Inky : Internet keywords with user feedback  

E-Print Network [OSTI]

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

Chou, Victoria H. (Victoria Hsiao-tsung)

2008-01-01T23:59:59.000Z

305

GIS keyword | OpenEI Community  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has beenFfe2fb55-352f-473b-a2dd-50ae8b27f0a6TheoreticalFuelCell Energy IncFOR EGS Home > Groups >

306

TRITIUM SYSTEMS KEYWORDS: tritium fuel cycle, re-  

E-Print Network [OSTI]

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

Abdou, Mohamed

307

Constraining the Mass Profiles of Stellar Systems: Schwarzschild Modeling of Discrete Velocity Datasets  

E-Print Network [OSTI]

(ABRIDGED) We present a new Schwarzschild orbit-superposition code designed to model discrete datasets composed of velocities of individual kinematic tracers in a dynamical system. This constitutes an extension of previous implementations that can only address continuous data in the form of (the moments of) velocity distributions, thus avoiding potentially important losses of information due to data binning. Furthermore, the code can handle any combination of available velocity components, i.e., only line-of-sight velocities, only proper motions, or a combination of both. It can also handle a combination of discrete and continuous data. The code finds the distribution function (DF, a function of the three integrals of motion E, Lz, and I3) that best reproduces the available kinematic and photometric observations in a given axisymmetric gravitational potential. The fully numerical approach ensures considerable freedom on the form of the DF f(E,Lz,I3). This allows a very general modeling of the orbital structure, thus avoiding restrictive assumptions about the degree of (an)isotropy of the orbits. We describe the implementation of the discrete code and present a series of tests of its performance based on the modeling of simulated datasets generated from a known DF. We find that the discrete Schwarzschild code recovers the original orbital structure, M/L ratios, and inclination of the input datasets to satisfactory accuracy, as quantified by various statistics. The code will be valuable, e.g., for modeling stellar motions in Galactic globular clusters, and those of individual stars, planetary nebulae, or globular clusters in nearby galaxies. This can shed new light on the total mass distributions of these systems, with central black holes and dark matter halos being of particular interest.

Julio Chanamé; Jan Kleyna; Roeland van der Marel

2008-04-21T23:59:59.000Z

308

Development of a high-resolution bathymetry dataset for the Columbia River through the Hanford Reach  

SciTech Connect (OSTI)

A bathymetric and topographic data collection and processing effort involving existing and newly collected data has been performed for the Columbia River through the Hanford Reach in central Washington State, extending 60-miles from the tailrace of Priest Rapids Dam (river mile 397) to near the vicinity of the Interstate 182 bridge just upstream of the Yakima River confluence (river mile 337). The contents of this report provide a description of the data collections, data inputs, processing methodology, and final data quality assessment used to develop a comprehensive and continuous merged 1m resolution bathymetric and topographic surface dataset for the Columbia River through the Hanford Reach.

Coleman, Andre M.; Ward, Duane L.; Larson, Kyle B.; Lettrick, Joseph W.

2010-10-08T23:59:59.000Z

309

Reconstruction of Hessence Dark Energy and the Latest Type Ia Supernovae Gold Dataset  

E-Print Network [OSTI]

Recently, many efforts have been made to build dark energy models whose equation-of-state parameter can cross the so-called phantom divide $w_{de}=-1$. One of them is the so-called hessence dark energy model in which the role of dark energy is played by a non-canonical complex scalar field. In this work, we develop a simple method based on Hubble parameter $H(z)$ to reconstruct the hessence dark energy. As examples, we use two familiar parameterizations for $H(z)$ and fit them to the latest 182 type Ia supernovae Gold dataset. In the reconstruction, measurement errors are fully considered.

Hao Wei; Ningning Tang; Shuang Nan Zhang

2007-02-28T23:59:59.000Z

310

Reconstruction of a Deceleration Parameter from the Latest Type Ia Supernovae Gold Dataset  

E-Print Network [OSTI]

In this paper, a parameterized deceleration parameter $q(z)= 1/2 - a/(1 + z)^b$ is reconstructed from the latest type Ia supernovae gold dataset. It is found out that the transition redshift from decelerated expansion to accelerated expansion is at $z_T=0.35^{+0.14}_{-0.07}$ with $1\\sigma$ confidence level in this parameterized deceleration parameter. And, the best fit values of parameters in $1\\sigma$ errors are $a=1.56^{+0.99}_{-0.55}$ and $b=3.82^{+3.70}_{-2.27}$.

Lixin Xu; Chengwu Zhang; Baorong Chang; Hongya Liu

2007-01-17T23:59:59.000Z

311

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

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

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

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

312

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

E-Print Network [OSTI]

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

Gutierrez, Thoralf; Blondel, Vincent D

2013-01-01T23:59:59.000Z

313

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBenew20-Year Dataset of

314

A 22-Year Dataset of Surface Longwave Fluxes in the Arctic  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBenew20-Year Dataset of22-Year

315

World Net Nuclear Electric Power Generation, 1980-2007 - Datasets - OpenEI  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperative JumpWilliamsonWoodson County,Worden, Montana: Energy|Datasets U.S.

316

Slow Roll Reconstruction: Constraints on Inflation from the 3 Year WMAP Dataset  

E-Print Network [OSTI]

We study the constraints on the inflationary parameter space derived from the 3 year WMAP dataset using ``slow roll reconstruction'', using the SDSS galaxy power spectrum to gain further leverage where appropriate. This approach inserts the inflationary slow roll parameters directly into a Monte Carlo Markov chain estimate of the cosmological parameters, and uses the inflationary flow hierarchy to compute the parameters' scale-dependence. We work with the first three parameters (epsilon, eta and xi) and pay close attention to the possibility that the 3 year WMAP dataset contains evidence for a ``running'' spectral index, which is dominated by the xi term. Mirroring the WMAP team's analysis we find that the permitted distribution of xi is broad, and centered away from zero. However, when we require that inflationary parameters yield at least 30 additional e-folds of inflation after the largest observable scales leave the horizon, the bounds on xi tighten dramatically. We make use of the absence of an explicit pivot scale in the slow roll reconstruction formalism to determine the dependence of the computed parameter distributions on the pivot. We show that the choice of pivot has a significant effect on the inferred constraints on the inflationary variables, and the spectral index and running derived from them. Finally, we argue that the next round of cosmological data can be expected to place very stringent constraints on the region of parameter space open to single field models of slow roll inflation.

Hiranya Peiris; Richard Easther

2006-10-12T23:59:59.000Z

317

Evaluation of Global Monsoon Precipitation Changes based on Five Reanalysis Datasets  

SciTech Connect (OSTI)

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

Lin, Renping; Zhou, Tianjun; Qian, Yun

2014-02-01T23:59:59.000Z

318

Purification of the product of the unknown gene from the pyrLBIX operon in Escherichia coli  

E-Print Network [OSTI]

PURIFICATION OF THE PRODUCT OF THE UNKNO%N GENE FROM THE R~BIX OPERON IN ESCHERICHIA COLI A Thesis by FRANCINE DUSZA SHIRLEY Submitted to the Office of Graduate Studies of Texas ASM University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE August 1989 Major Subject: Genetics PURIFICATION OF THE PRODUCT OF THE UNKNOWN GENE FROM THE II~B OPERON IN ESCHERICHIA COLl A Thesis by FRANCINE DUSZA SHIRLEY Approved as to content and style by: (Z (~g James R...

Shirley, Francine Dusza

1989-01-01T23:59:59.000Z

319

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

Broader source: Energy.gov [DOE]

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

320

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

Broader source: Energy.gov [DOE]

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

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

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

Broader source: Energy.gov [DOE]

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

322

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

Broader source: Energy.gov [DOE]

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

323

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

Broader source: Energy.gov [DOE]

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

324

Exploring the Properties of Dark Energy Using Type Ia Supernovae and Other Datasets  

E-Print Network [OSTI]

We reconstruct dark energy properties from two complementary supernova datasets -- the newly released Gold+HST sample and SNLS. The results obtained are consistent with standard $\\Lambda$CDM model within $2\\sigma$ error bars although the Gold+HST data favour evolving dark energy slightly more than SNLS. Using complementary data from baryon acoustic oscillations and the cosmic microwave background to constrain dark energy, we find that our results in this case are strongly dependent on the present value of the matter density $\\Omega_m$. Consequently, no firm conclusions regarding constancy or variability of dark energy density can be drawn from these data alone unless the value of $\\Omega_m$ is known to an accuracy of a few percent. However, possible variability is significantly restricted if this data is used in conjunction with supernova data.

Ujjaini Alam; Varun Sahni; Alexei A. Starobinsky

2006-12-14T23:59:59.000Z

325

Exploring Cosmological Expansion Parametrizations with the Gold SnIa Dataset  

E-Print Network [OSTI]

We use the SnIa Gold dataset to compare LCDM with 10 representative parametrizations of the recent Hubble expansion history $H(z)$. For the comparison we use two statistical tests; the usual $\\chi_{min}^2$ which is insensitive to the parametrization number of parameters, and a statistic we call the p-test which depends on both the value of $\\chi_{min}^2$ and the number $n$ of the parametrization parameters. The p-test measures the confidence level to which the parameter values corresponding to LCDM are excluded from the viewpoint of the parametrization tested. For example, for a linear equation of state parametrization $w(z)=w_0 + w_1 z$ the LCDM parameter values ($w_0=-1$, $w_1=0$) are excluded at 75% confidence level. We use a flat prior and $\\Omega_{0m}=0.3$. All parametrizations tested are consistent with the Gold dataset at their best fit. According to both statistical tests, the worst fits among the 10 parametrizations, correspond to the Chaplygin gas, the brane world and the Cardassian parametrizations. The best fit is achieved by oscillating parametrizations which can exclude the parameter values corresponding to LCDM at 85% confidence level. Even though this level of significance does not provide a statistically significant exclusion of LCDM (it is less than $2\\sigma$) and does not by itself constitute conclusive evidence for oscillations in the cosmological expansion, when combined with similar independent recent evidence for oscillations coming from the CMB and matter power spectra it becomes an issue worth of further investigation.

R. Lazkoz; S. Nesseris; L. Perivolaropoulos

2005-11-10T23:59:59.000Z

326

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

SciTech Connect (OSTI)

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

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

2003-02-27T23:59:59.000Z

327

Data Mining for Selective Visualization of Large Spatial Datasets Shashi Shekhar , ChangTien Lu y , Pusheng Zhang, Rulin Liu  

E-Print Network [OSTI]

Data Mining for Selective Visualization of Large Spatial Datasets Shashi Shekhar #3; , Chang of visually exploring data for pattern and trend analysis, and it is a common method of browsing spatial for observing the summarization of spatial patterns and temporal trends. We also present data mining algorithms

Shekhar, Shashi

328

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

E-Print Network [OSTI]

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

Crawfis, Roger

329

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

E-Print Network [OSTI]

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

Mueller, Klaus

330

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

SciTech Connect (OSTI)

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

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

2012-10-15T23:59:59.000Z

331

Extended data analysis strategies for high resolution imaging MS: New methods to deal with extremely large image hyperspectral datasets  

E-Print Network [OSTI]

The large size of the hyperspectral datasets that are produced with modern mass spectrometric imaging techniques makes it difficult to analyze the results. Unsupervised statistical techniques are needed to extract relevant information from these datasets and reduce the data into a surveyable overview. Multivariate statistics are commonly used for this purpose. Computational power and computer memory limit the resolution at which the datasets can be analyzed with these techniques. We introduce the use of a data format capable of efficiently storing sparse datasets for multivariate analysis. This format is more memory-efficient and therefore it increases the possible resolution together with a decrease of computation time. Three multivariate techniques are compared for both sparse-type data and non-sparse data acquired in two different imaging ToF-SIMS experiments and one LDI-ToF imaging experiment. There is no significant qualitative difference in the use of different data formats for the same multivariate algorithms. All evaluated multivariate techniques could be applied on both SIMS and the LDI imaging datasets. Principal component analysis is shown to be the fastest choice; however a small increase of computation time using a VARIMAX optimization increases the decomposition quality significantly. PARAFAC analysis is shown to be very effective in separating different chemical components but the calculations take a significant amount of time, limiting its use as a routine technique. An effective visualization of the results of the multivariate analysis is as important for the analyst as the computational issues. For this reason, a new technique for visualization is presented, combining both spectral loadings and spatial

Leendert A. Klerk A; Er Broersen B; Ian W. Fletcher C

2006-01-01T23:59:59.000Z

332

An accurate determination of the Hubble constant from Baryon Acoustic Oscillation datasets  

E-Print Network [OSTI]

Even though the Hubble constant cannot be significantly determined by the low-redshift Baryon Acoustic Oscillation (BAO) data alone, it can be tightly constrained once the high-redshift BAO data are combined. Combining BAO data from 6dFGS, BOSS DR11 clustering of galaxies, WiggleZ and $z=2.34$ from BOSS DR11 quasar Lyman-$\\alpha$ forest lines, we get $H_0=68.17^{+1.55}_{-1.56}$ km s$^{-1}$ Mpc$^{-1}$. In addition, adopting the the simultaneous measurements of $H(z)$ and $D_A(z)$ from the two-dimensional two-point correlation function from BOSS DR9 CMASS sample and two-dimensional matter power spectrum from SDSS DR7 sample, we obtain $H_0=68.11\\pm1.69$ km s$^{-1}$ Mpc$^{-1}$. Finally, combining all of the BAO datasets, we conclude $H_0=68.11\\pm 0.86$ km s$^{-1}$ Mpc$^{-1}$, a 1.3% determination.

Cheng Cheng; Qing-Guo Huang

2014-09-22T23:59:59.000Z

333

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

E-Print Network [OSTI]

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

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

2002-06-01T23:59:59.000Z

334

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

SciTech Connect (OSTI)

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

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

2002-02-01T23:59:59.000Z

335

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

SciTech Connect (OSTI)

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

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

2007-02-01T23:59:59.000Z

336

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

SciTech Connect (OSTI)

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

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

2011-08-01T23:59:59.000Z

337

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

E-Print Network [OSTI]

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

Maccabe, Barney

338

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

E-Print Network [OSTI]

\\\\server05\\productn\\C\\CJP\\14-1\\CJP102.txt unknown Seq: 1 24-FEB-05 17:48 REGULATING OFFSHORE WIND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 R A. OFFSHORE AQUACULTURE (MARICULTURE) . . . . . . . . . . . 74 R B. OFFSHORE WIND POWER PRODUCTION . . . . . . . . . . . . . . . 75 R C. POTENTIAL CONNECTIONS AMONG OFFSHORE WIND POWER, MARINE

Firestone, Jeremy

339

Time-and Energy-efficient Detection of Unknown Tags in Large-scale RFID Systems Xiulong Liu, Heng Qi, Keqiu Li  

E-Print Network [OSTI]

Time- and Energy-efficient Detection of Unknown Tags in Large-scale RFID Systems Xiulong Liu, Heng by reducing more than 90% of the required execution time and energy consumption. I. INTRODUCTION Radio, this is the first piece of work taking both time-efficiency and energy-efficiency into consideration, where

Liu, Alex X.

340

SFI++ II: A New I-band Tully-Fisher Catalog, Derivation of Peculiar Velocities and Dataset Properties  

E-Print Network [OSTI]

We present the SFI++ dataset, a homogeneously derived catalog of photometric and rotational properties and the Tully-Fisher distances and peculiar velocities derived from them. We make use of digital optical images, optical long-slit spectra, and global HI line profiles to extract parameters of relevance to disk scaling relations, incorporating several previously published datasets as well as a new photometric sample of some 2000 objects. According to the completeness of available redshift samples over the sky area, we exploit both a modified percolation algorithm and the Voronoi-Delaunay method to assign individual galaxies to groups as well as clusters, thereby reducing scatter introduced by local orbital motions. We also provide corrections to the peculiar velocities for both homogeneous and inhomogeneous Malmquist bias, making use of the 2MASS Redshift Survey density field to approximate large scale structure. We summarize the sample selection criteria, corrections made to raw observational parameters, the grouping techniques, and our procedure for deriving peculiar velocities. The final SFI++ peculiar velocity catalog of 4861 field and cluster galaxies is large enough to permit the study not just of the global statistics of large scale flows but also of the {\\it details} of the local velocity field.

Christopher M. Springob; Karen L. Masters; Martha P. Haynes; Riccardo Giovanelli; Christian Marinoni

2007-05-04T23:59:59.000Z

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

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

E-Print Network [OSTI]

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

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

2006-12-17T23:59:59.000Z

342

Known and unknown SCUBA sources  

E-Print Network [OSTI]

Summary and discussion of some projects to use SCUBA to target sources selected at other wavebands, as well as to find new sub-mm galaxies in `blank fields': FIRBACK galaxies; Lyman break galaxies and `the Blob'; HDF flanking fields and the Groth Strip; survey of lensing cluster fields.

Douglas Scott; Colin Borys; Mark Halpern; Anna Sajina; Scott Chapman; Greg Fahlman

2000-10-25T23:59:59.000Z

343

Instruction Guide Shopping Using the Product Keyword Search  

E-Print Network [OSTI]

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

Sheremet, Alexandru

344

Instruction Guide Shopping Using the Product Keyword Search  

E-Print Network [OSTI]

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

Pilyugin, Sergei S.

345

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

E-Print Network [OSTI]

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

Acton, Scott

346

SPARK: A Keyword Search Engine on Relational Databases  

E-Print Network [OSTI]

: "Primetime Glick" (:::: 2001) Tom ::::: Hanks/Ben Stiller (#2.1) 2 Movies: "Primetime Glick" (:::: 2001) Tom ::::: Hanks/Ben Stiller (#2.1) ActorPlay: Character = Himself Actors: ::::: Hanks, Tom 3 Actors: John

Lin, Xuemin

347

Search forKeyword More Make TBO your  

E-Print Network [OSTI]

Starting Microsoft will begin an automated distribution today of a major security upgrade to its Windows XP said Tuesday. The company has delayed its automated distribution of the security upgrade for the XP in Comcast after its stock dropped 12 percent. WORLD Oil Sets Record Oil prices set a new record Tuesday

Richardson, Martin C.

348

Property:OpenEI/Tool/Keyword | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar PowerstoriesNrelPartnerType Jump to: navigation, search

349

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | NationalJohn F.DemonstrateScientistsResource

350

XClean: Providing Valid Spelling Suggestions for XML Keyword Queries  

E-Print Network [OSTI]

{yifeil, weiw}@cse.unsw.edu.au Swinburne University of Technology {jianxinli, cliu}@swin.edu.au Abstract with low quality. Query cleaning has been proposed to alleviate this problem by suggesting several that the query result will be empty. An intelligent query cleaning system will suggest the clean query hinrich

Liu, Chengfei

351

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

Office of Scientific and Technical Information (OSTI)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinan antagonist Journal Article: CrystalFG36-08GO18149 Revision: - Date: 06/15/10 ABENGOANRELu547

352

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

Office of Scientific and Technical Information (OSTI)

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

353

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

Office of Scientific and Technical Information (OSTI)

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

354

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

Office of Scientific and Technical Information (OSTI)

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

355

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

Office of Scientific and Technical Information (OSTI)

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

356

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

Office of Scientific and Technical Information (OSTI)

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

357

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

Office of Scientific and Technical Information (OSTI)

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

358

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

Office of Scientific and Technical Information (OSTI)

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

359

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

Office of Scientific and Technical Information (OSTI)

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

360

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

Office of Scientific and Technical Information (OSTI)

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

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

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

Office of Scientific and Technical Information (OSTI)

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

362

Oscillations in the inflaton potential: Complete numerical treatment and comparison with the recent and forthcoming CMB datasets  

E-Print Network [OSTI]

Amongst the multitude of inflationary models currently available, models that lead to features in the primordial scalar spectrum are drawing increasing attention, since certain features have been found to provide a better fit to the CMB data than the conventional, nearly scale invariant, primordial spectrum. In this work, we carry out a complete numerical analysis of two models that lead to oscillations over all scales in the scalar power spectrum. We consider the model described by a quadratic potential which is superposed by a sinusoidal modulation and the recently popular axion monodromy model. Since the oscillations continue even on to arc minute scales, in addition to the WMAP data, we also compare the models with the small scale data from ACT. Though, both the models, broadly, result in oscillations in the spectrum, interestingly, we find that, while the monodromy model leads to a considerably better fit to the data in comparison to the standard power law spectrum, the quadratic potential superposed with a sinusoidal modulation does not improve the fit to a similar extent. We also carry out forecasting of the parameters using simulated Planck data for both the models. We show that the Planck mock data performs better in constraining the model parameters as compared to the presently available CMB datasets.

Moumita Aich; Dhiraj Kumar Hazra; L. Sriramkumar; Tarun Souradeep

2012-10-22T23:59:59.000Z

363

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

SciTech Connect (OSTI)

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

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

2009-07-06T23:59:59.000Z

364

From bicycle sharing system movements to users: a typology of Vlo'v cyclists in Lyon based on large-scale behavioural dataset  

E-Print Network [OSTI]

From bicycle sharing system movements to users: a typology of Vélo'v cyclists in Lyon based de Lyon, France a r t i c l e i n f o Keywords: Bicycle-sharing systems Urban mobility Cyclist, since 2005, and are one of the first major public bicycle sharing systems (BSS) implemented in Europe

Robardet, Céline

365

Experimental Datasets - Optimization Online  

E-Print Network [OSTI]

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

2005-03-29T23:59:59.000Z

366

Stalking the Wild Dataset  

E-Print Network [OSTI]

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

Tsang, Daniel C

2015-01-01T23:59:59.000Z

367

Models and Datasets  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment SurfacesResource Program PreliminaryA3,0StatementsMixingAssessing8

368

Coherent searches for periodic gravitational waves from unknown isolated sources and Scorpius X-1: results from the second LIGO science run  

E-Print Network [OSTI]

We carry out two searches for periodic gravitational waves using the most sensitive few hours of data from the second LIGO science run. The first search is targeted at isolated, previously unknown neutron stars and covers the entire sky in the frequency band 160-728.8 Hz. The second search targets the accreting neutron star in the low-mass X-ray binary Scorpius X-1, covers the frequency bands 464-484 Hz and 604-624 Hz, and two binary orbit parameters. Both searches look for coincidences between the Livingston and Hanford 4-km interferometers. For isolated neutron stars our 95% confidence upper limits on the gravitational wave strain amplitude range from 6.6E-23 to 1E-21 across the frequency band; For Scorpius X-1 they range from 1.7E-22 to 1.3E-21 across the two 20-Hz frequency bands. The upper limits presented in this paper are the first broad-band wide parameter space upper limits on periodic gravitational waves using coherent search techniques. The methods developed here lay the foundations for upcoming hi...

Abbott, B; Adhikari, R; Ageev, A; Agresti, J; Allen, B; Allen, J; Amin, R; Anderson, S B; Anderson, W G; Araya, M; Armandula, H; Ashley, M; Asiri, F; Aufmuth, P; Aulbert, C; Babak, S; Balasubramanian, R; Ballmer, S; Barish, B C; Barker, C; Barker, D; Barnes, M; Barr, B; Barton, M A; Bayer, K; Beausoleil, R; Belczynski, K; Bennett, R; Berukoff, S J; Betzwieser, J; Bhawal, B; Bilenko, I A; Billingsley, G; Black, E; Blackburn, K; Blackburn, L; Bland, B; Bochner, B; Bogue, L; Bork, R; Bose, S; Brady, P R; Braginsky, V B; Brau, J E; Brown, D A; Bullington, A; Bunkowski, A; Buonanno, A; Burgess, R; Busby, D; Butler, W E; Byer, R L; Cadonati, L; Cagnoli, G; Camp, J B; Cannizzo, J; Cannon, K; Cantley, C A; Cardenas, L; Carter, K; Casey, M M; Castiglione, J; Chandler, A; Chapsky, J; Charlton, P; Chatterji, S; Chelkowski, S; Chen, Y; Chickarmane, V; Chin, D; Christensen, N; Churches, D; Cokelaer, T; Colacino, C; Coldwell, R; Coles, M; Cook, D; Corbitt, T; Coyne, D; Creighton, J D E; Creighton, T D; Crooks, D R M; Csatorday, P; Cusack, B J; Cutler, C; Dalrymple, J; D'Ambrosio, E; Danzmann, K; Davies, G; Daw, E; De Bra, D; Delker, T; Dergachev, V; Desai, S; DeSalvo, R; Dhurandhar, S V; Di Credico, A; Ding, H; Drever, R W P; Dupuis, R J; Edlund, J A; Ehrens, P; Elliffe, E J; Etzel, T; Evans, M; Evans, T; Fairhurst, S; Fallnich, C; Farnham, D; Fejer, M M; Findley, T; Fine, M; Finn, L S; Franzen, K Y; Freise, A; Frey, R; Fritschel, P; Frolov, V V; Fyffe, M; Ganezer, K S; Garofoli, J; Giaime, J A; Gillespie, A; Goda, K; Goggin, L; González, G; Gossler, S; Grandclément, P; Grant, A; Gray, C; Gretarsson, A M; Grimmett, D; Grote, H; Grünewald, S; Günther, M; Gustafson, E; Gustafson, R; Hamilton, W O; Hammond, M; Hanson, J; Hardham, C; Harms, J; Harry, G; Hartunian, A; Heefner, J; Hefetz, Y; Heinzel, G; Heng, I S; Hennessy, M; Hepler, N; Heptonstall, A; Heurs, M; Hewitson, M; Hild, S; Hindman, N; Hoang, P; Hough, J; Hrynevych, M; Hua, W; Ito, M; Itoh, Y; Ivanov, A; Jennrich, O; Johnson, B; Johnson, W W; Johnston, W R; Jones, D I; Jones, G; Jones, L; Jungwirth, D; Kalogera, V; Katsavounidis, E; Kawabe, K; Kawamura, S; Kells, W; Kern, J; Khan, A; Killbourn, S; Killow, C J; Kim, C; King, C; King, P; Klimenko, S; Koranda, S; Kotter, K; Kovalik, Yu; Kozak, D; Krishnan, B; Landry, M; Langdale, J; Lantz, B; Lawrence, R; Lazzarini, A; Lei, M; Leonor, I; Libbrecht, K; Libson, A; Lindquist, P; Liu, S; Logan, J; Lormand, M; Lubinski, M; Luck, H; Luna, M; Lyons, T T; Machenschalk, B; MacInnis, M; Mageswaran, M; Mailand, K; Majid, W; Malec, M; Mandic, V; Mann, F; Marin, A; Marka, S; Maros, E; Mason, J; Mason, K; Matherny, O; Matone, L; Mavalvala, N; McCarthy, R; McClelland, D E; McHugh, M; McNabb, J W C; Melissinos, A C; Mendell, G; Mercer, R A; Meshkov, S; Messaritaki, E; Messenger, C; Mikhailov, E; Mitra, S; Mitrofanov, V P; Mitselmakher, G; Mittleman, R; Miyakawa, O; Miyoki, S; Mohanty, S; Moreno, G; Mossavi, K; Müller, G; Mukherjee, S; Murray, P; Myers, E; Myers, J; Nagano, S; Nash, T; Nayak, R; Newton, G; Nocera, F; Noel, J S; Nutzman, P; Olson, T; O'Reilly, B; Ottaway, D J; Ottewill, A; Ouimette, D A; Overmier, H; Owen, B J; Pan, Y; Papa, M A; Parameshwaraiah, V; Parameswaran, A J; Parameswariah, C; Pedraza, M; Penn, S; Pitkin, M; Plissi, M; Prix, R; Quetschke, V; Raab, F; Radkins, H; Rahkola, R; Rakhmanov, M; Rao, S R; Rawlins, K; Ray-Majumder, S; Re, V; Redding, D; Regehr, M W; Regimbau, T; Reid, S; Reilly, K T; Reithmaier, K; Reitze, D H; Richman, S; Riesen, R; Riles, K; Rivera, B; Rizzi, A; Robertson, D I; Robertson, N A; Robinson, C; Robison, L; Roddy, S; Rodríguez, A; Rollins, J; Romano, J D; Romie, J; Rong, H; Rose, D; Rotthoff, E; Rowan, S; Rüdiger, A; Ruet, L; Russell, P; Ryan, K; Salzman, I; Sanchodela, L; Jordana; Sandberg, V; Sanders, G H; Sannibale, V; Sarin, P; Sathyaprakash, B; Saulson, P R; Savage, R; Sazonov, A; Schilling, R; Schlaufman, K; Schmidt, V; Schnabel, R; Schofield, R; Schutz, B F; Schwinberg, P; Scott, S M; Seader, S E; Searle, A C; Sears, B; Seel, S; Seifert, F; Sellers, D; Sengupta, A S; Shapiro, C A; Shawhan, P; Shoemaker, D H; Shu, Q Z; Sibley, A; Siemens, X; Sievers, L; Sigg, D; Sintes, A M; Smith, J R; Smith, M; Smith, M R; Sneddon, P H; Spero, R; Spjeld, O; Stapfer, G; Steussy, D; Strain, K A; Strom, D; Stuver, A; Summerscales, T; Sumner, M C; Sung, M; Sutton, P J; Sylvestre, J; Takamori, A; Tanner, D B; Tariq, H; Taylor, I; Taylor, R; Taylor, R; Thorne, K A; Thorne, K S; Tibbits, M; Tilav, S; Tinto, M; Tokmakov, 2K V; Torres, C; Torrie, C; Traylor, G; Tyler, W; Ugolini, D W; Ungarelli, C; Vallisneri, M; Van Putten, M H P M; Vass, S; Vecchio, A; Veitch, J; Vorvick, C; Vyachanin, S P; Wallace, L; Walther, H; Ward, H; Ward, R; Ware, B; Watts, K; Webber, D; Weidner, A; Weiland, U; Weinstein, A; Weiss, R; Welling, H; Wen, L; Wen, S; Wette, K; Whelan, J T; Whitcomb, S E; Whiting, B F; Wiley, S

2006-01-01T23:59:59.000Z

369

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

Broader source: Energy.gov [DOE]

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

370

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

SciTech Connect (OSTI)

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

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

2012-03-01T23:59:59.000Z

371

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

SciTech Connect (OSTI)

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

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

2014-06-01T23:59:59.000Z

372

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

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

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

373

International Journal of Mass Spectrometry 260 (2007) 222–236 Extended data analysis strategies for high resolution imaging MS: New methods to deal with extremely large image hyperspectral datasets  

E-Print Network [OSTI]

The large size of the hyperspectral datasets that are produced with modern mass spectrometric imaging techniques makes it difficult to analyze the results. Unsupervised statistical techniques are needed to extract relevant information from these datasets and reduce the data into a surveyable overview. Multivariate statistics are commonly used for this purpose. Computational power and computer memory limit the resolution at which the datasets can be analyzed with these techniques. We introduce the use of a data format capable of efficiently storing sparse datasets for multivariate analysis. This format is more memory-efficient and therefore it increases the possible resolution together with a decrease of computation time. Three multivariate techniques are compared for both sparse-type data and non-sparse data acquired in two different imaging ToF-SIMS experiments and one LDI-ToF imaging experiment. There is no significant qualitative difference in the use of different data formats for the same multivariate algorithms. All evaluated multivariate techniques could be applied on both SIMS and the LDI imaging datasets. Principal component analysis is shown to be the fastest choice; however a small increase of computation time using a VARIMAX optimization increases the decomposition quality significantly. PARAFAC analysis is shown to be very effective in separating different chemical components but the calculations take a significant amount of time, limiting its use as a routine technique. An effective visualization of the results of the multivariate analysis is as important for the analyst as the computational issues. For this reason, a new technique for visualization is presented, combining both spectral loadings and spatial

Leendert A. Klerk A; Er Broersen B; Ian W. Fletcher C

2006-01-01T23:59:59.000Z

374

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

SciTech Connect (OSTI)

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

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

2014-01-01T23:59:59.000Z

375

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

SciTech Connect (OSTI)

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

Erdmann, Christine A.; Apte, Michael G.

2003-09-01T23:59:59.000Z

376

Buildings Performance Database - Datasets - OpenEI Datasets  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160Benin: EnergyBoston Areais a villageBucyrus, NorthBuhler, Kansas:

377

NREL Residential Buildings Group Partners - Datasets - OpenEI Datasets  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 -Energieprojekte3Information Exploration/DevelopmentLegalSolomons RFQ

378

California Household Transportation Survey - Datasets - OpenEI Datasets  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160Benin: EnergyBoston Areais3: Crystalline RockCaldera2CaliforniaCalifornia Household

379

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

SciTech Connect (OSTI)

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

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

2014-05-16T23:59:59.000Z

380

Robust strategies in an evolving unknown environment  

E-Print Network [OSTI]

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

Combettes, Patrick Louis

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

WinterSpring 2013 BOSTONIA unknowns clouding  

E-Print Network [OSTI]

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

Goldberg, Bennett

382

Interval Analysis for Unknown Dependencies and Genetic  

E-Print Network [OSTI]

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

383

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

E-Print Network [OSTI]

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

Barrett, Jeffrey A.

384

Radioactivity in man: levels, effects and unknowns  

SciTech Connect (OSTI)

The report discusses the potential for significant human exposure to internal radiation. Sources of radiation considered include background radiation, fallout, reactor accidents, radioactive waste, and occupational exposure to various radioisotopes. (ACR)

Rundo, J.

1980-01-01T23:59:59.000Z

385

Reuse Knowns and Unknowns Bill Frakes  

E-Print Network [OSTI]

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

Christian, Eric

386

Multigene datasets for deep phylogeny   

E-Print Network [OSTI]

Though molecular phylogenetics has been very successful in reconstructing the evolutionary history of species, some phylogenies, particularly those involving ancient events, have proven difficult to resolve. One approach ...

Jones, Martin

2007-01-01T23:59:59.000Z

387

Organizations - OpenEI Datasets  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoading map...(UtilityCounty, Michigan:OregonTransmissionHeader.png RoadmapCambridge Energy

388

Welcome - OpenEI Datasets  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:Seadov PtyInformationSEDSWawarsing,Webb County, Texas:75692°,WedellWelcome Sample

389

BP-12 Final Models Datasets  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience Program CumulusA t iBudget2/4/139/4/2012 B O N N

390

dataset | OpenEI Community  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,SaveWhiskey Flats GeothermalElectric Coop Home7databus Home

391

datasets | OpenEI Community  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,SaveWhiskey Flats GeothermalElectric Coop Home7databus Homedatasets

392

About - OpenEI Datasets  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160 East 300 SouthWaterBrasil Jump to: navigation, search Name:

393

OpenEI Community - dataset  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth'sOklahoma/Geothermal < Oklahomast, 2012Coast

394

OpenEI Community - datasets  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth'sOklahoma/Geothermal < Oklahomast, 2012Coast

395

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

E-Print Network [OSTI]

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

California at Santa Barbara, University of

396

Improving Keyword Search over Ecological Data Srinivas Vadrevu, Corinna Gries, Hasan Davulcu  

E-Print Network [OSTI]

that limit terrestrial primary productivity are solar energy, water and temperature, soil textures", "solar energy", "water", "temperature" "soil texture", "drainage", "mineral nutrient availability"} Neighbors ("water") = {"terrestrial primary productivity", "solar energy", "temperature", "soil texture

Hall, Sharon J.

397

WSRC-TR-2007-00440, REVISION 0 Keywords: Hydrogen Kinetics,  

E-Print Network [OSTI]

Retention: Permanent Integrated Hydrogen Storage System Model Bruce J. Hardy November 16, 2007 Washington Storage System Model Bruce J. Hardy November 16, 2007 Washington Savannah River Company Savannah River

398

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

E-Print Network [OSTI]

of search-based advertising services offered by search engines, enabling companies to promote their products services offered by search engines enable companies to promote their prod- ucts to targeted groups for the key- word on the search result page based on the bids submitted by the advertisers. A company whose ad

Rusmevichientong, Paat

399

SPARK: Top-k Keyword Query in Relational Databases Xuemin Lin1  

E-Print Network [OSTI]

/Ben Stiller (#2.1) 2 Movies: "Primetime Glick" (:::: 2001) Tom:::::: Hanks/Ben Stiller (#2.1) Actor

Wang, Wei

400

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

E-Print Network [OSTI]

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

Kein Rückgabetyp Deklariert; Große Flexibilität; Große Gefahr; Prof Dr; G. Zachmann; Informatik Ws; Einführung Python; Prof Dr; G. Zachmann; Informatik Ws; Einführung Python; Funktion Bekommt Referenz (zeiger; Keine Kopie Des Wertes

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

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

E-Print Network [OSTI]

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

402

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

E-Print Network [OSTI]

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

Hanson, F. Allan

2002-01-01T23:59:59.000Z

403

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

E-Print Network [OSTI]

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

Genève, Université de

404

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

E-Print Network [OSTI]

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

Genève, Université de

405

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

E-Print Network [OSTI]

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

406

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

E-Print Network [OSTI]

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

Pedram, Massoud

407

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

Office of Scientific and Technical Information (OSTI)

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

408

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

Office of Scientific and Technical Information (OSTI)

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

409

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

Office of Scientific and Technical Information (OSTI)

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

410

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

Office of Scientific and Technical Information (OSTI)

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

411

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

Office of Scientific and Technical Information (OSTI)

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

412

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

Office of Scientific and Technical Information (OSTI)

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

413

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

Office of Scientific and Technical Information (OSTI)

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

414

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

Office of Scientific and Technical Information (OSTI)

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

415

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

Office of Scientific and Technical Information (OSTI)

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

416

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

SciTech Connect (OSTI)

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

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

2002-10-01T23:59:59.000Z

417

MANAGEMENT AND COMPARATIVE ANALYSIS OF DATASET ENSEMBLES  

SciTech Connect (OSTI)

The primary Phase I technical objective was to develop a prototype that demonstrates the functionality of all components required for an end-to-end meta-data management and comparative visualization system.

Geveci, Berk [Senior Director, Scientific Computing

2010-05-17T23:59:59.000Z

418

A new bed elevation dataset for Greenland  

E-Print Network [OSTI]

ice penetrating radar (IPR) systems. As a consequence, wefrom a number of airborne IPR missions have been col- lated,added for years between the IPR acquisition date and the

2013-01-01T23:59:59.000Z

419

NREL: Transmission Grid Integration - Western Wind Dataset  

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

the stochastic nature of wind plant output. NREL modeled hysteresis around wind turbine cut-out to further replicate how real wind plants operate. 3TIER has completed a...

420

Widget:DatasetsRedirect | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160 East 300 South Place: SaltTroyer &AnchorText Jump to:generates

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Index of /datasets/files/961/pub  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled -DIR] ARCHIVE/

422

Category:Datasets | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160Benin: EnergyBostonFacilityCascade SierraStatus Status

423

Category:Datasets | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartmentAUDIT REPORTOpenWendeGuoCatalyst Renewables Jump to: navigation,makersCategory

424

NREL: Transmission Grid Integration - Wind Integration Datasets  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the Contributions andData and ResourcesOtherForecasting NRELResearchWebinarsStudy

425

Index of /datasets/files/39  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation,Ohio:GreerHiCalifornia:ISIIrrigationDesertIndeen Biopower Ltd Jump63.server

426

Index of /datasets/files/41  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation,Ohio:GreerHiCalifornia:ISIIrrigationDesertIndeen Biopower Ltd

427

Index of /datasets/files/39/pub  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's Heat JumpInc Place: Eden Prairie, Minnesota Zip: 55344 Product: Designer ofpub

428

Index of /datasets/files/41/pub  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's Heat JumpInc Place: Eden Prairie, Minnesota Zip: 55344 Product: Designer

429

Optimizing Robust Limit Cycles for Legged Locomotion on Unknown Terrain  

E-Print Network [OSTI]

periodic control input, for many possible one-step solution trajectories (using ground profiles drawn from scheme can recover the known deadbeat open- loop control solution for the Spring Loaded Inverted Pendulum. Dai and R. Tedrake are with the Computer Science and Artificial Intelligence Lab, Massachusetts

Tedrake, Russ

430

Methods for characterizing, classifying, and identifying unknowns in samples  

DOE Patents [OSTI]

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

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

2002-01-01T23:59:59.000Z

431

arabidopsis unknown small: Topics by E-print Network  

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

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

432

Going Home Through an Unknown Street Christian Icking  

E-Print Network [OSTI]

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

López-Ortiz, Alex

433

Robotic Searching for Stationary, Unknown and Transient Radio Sources  

E-Print Network [OSTI]

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

Kim, Chang Young

2012-07-16T23:59:59.000Z

434

Dispersion and exploration algorithms for robots in unknown environments  

E-Print Network [OSTI]

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

Gini, Maria

435

Application of Categorical Exclusions (1021.410) Disagree Agree Unknown  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAbout theOFFICEAmesApplication Acceleration on Current andApplicationF1

436

Application of Categorical Exclusions (1021.410) Disagree Agree Unknown  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAbout theOFFICEAmesApplication Acceleration on Current andApplicationF1

437

Application of Categorical Exclusions (1021.410) Disagree Agree Unknown  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAbout theOFFICEAmesApplication Acceleration on Current

438

Online Pricing of Secondary Spectrum Access with Unknown Demand Function  

E-Print Network [OSTI]

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

Starobinski, David

439

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

E-Print Network [OSTI]

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

Gilchrist, James F.

440

Symbol Keyword My Portfolio CNN.comHome Business News Markets Personal Finance Real Estate Technology Small Business Luxury Fortune  

E-Print Network [OSTI]

Cabellon Northrop Grumman Electronic Systems (410) 765-7192 paul.cabellon@ngc.com Top Stories 'It's going Przybysz, a senior consulting engineer at Northrop Grumman. "Carbon nanotube technology changes the way we look at power requirements for military sensor systems because they perform equally with other

Rogers, John A.

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

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

E-Print Network [OSTI]

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

Behmer, Spencer T.

442

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

E-Print Network [OSTI]

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

Benson, Christopher Lee

443

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

E-Print Network [OSTI]

Manufacturing Polylactide Biopolymer Resin, at plant Chemical Manufacturing Recycled Postconsumer HDPE Pellet) Chemical Manufacturing Soy biodiesel, production, at plant Soy oil, refined, at plant Soy-based polyol, softwood, average, at forest road, INW Roundwood, softwood, green, at logyard, INW Roundwood, softwood

444

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 -Energieprojekte3Information Exploration/DevelopmentLegalSolomons RFQ JumpNREL

445

STIL2 Swedish Office Buildings Survey - Datasets - OpenEI Datasets  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExplorationUT-g Grant ofRichardton Abbey Wind Farm(CTI PFAN)STIL2 Swedish Office

446

Solar Resources by Class and Country - Datasets - OpenEI Datasets  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:Seadov Pty Ltd Jump to:Information Silver Peak AreaOutlineSolarEnergySolar Resources

447

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperative JumpWilliamson County,Bay, OR) JumpPhoto from Alstom 2010, NRELWind

448

Vehicle Routing in a Forestry Commissioning Operation using  

E-Print Network [OSTI]

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

Qu, Rong

449

PRISM Privacy-Preserving Search in MapReduce Erik-Oliver Blass1  

E-Print Network [OSTI]

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

450

View-Dependent Visualization for Analysis of Large Datasets  

E-Print Network [OSTI]

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

Overby, Derek Robert

2012-02-14T23:59:59.000Z

451

Outlier Detection in Smart Environment Structured Power Datasets  

E-Print Network [OSTI]

usage in central electric heating and cooling systems, in the last decade, brought new levels of comfort and convenience to consumers, as well as sharp increases in consumption. In addition to electric heating State University, Pullman, WA 99164-2752 Abstract--Household electricity consumption is a direct

Cook, Diane J.

452

The Latent Process Decomposition of cDNA Microarray Datasets  

E-Print Network [OSTI]

Rogers,S. Girolami,M. Campbell,C. Breitling,R. IEEE/ACM Transactions on Computational Biology and Bioinformatics, Volume 2, Number 2. pp 143-156 IEEE Computer Society Press

Rogers, S.; Girolami, M.

453

Comparison of Balancing Techniques for Multimedia IR over Imbalanced Datasets  

E-Print Network [OSTI]

Bermejo,P. Hopfgartner,F. Gámez,J.A. Puerta Callejón,J.M. Jose,J.M. ISCIS'09 - Proceedings of the 24th International Symposium on Computer and Information Sciences, Morphou, Cyprus

Bermejo, P.; Hopfgartner, F.

454

Ground truth dataset and baseline evaluations for intrinsic image algorithms  

E-Print Network [OSTI]

The intrinsic image decomposition aims to retrieve “intrinsic” properties of an image, such as shading and reflectance. To make it possible to quantitatively compare different approaches to this problem in realistic settings, ...

Grosse, Roger Baker

455

National Hydrography Dataset Goals Fiscal Year 2014-2015-2016  

E-Print Network [OSTI]

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

Torgersen, Christian

456

Comparison of wind stress algorithms, datasets and oceanic power input  

E-Print Network [OSTI]

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

Yuan, Shaoyu

2009-01-01T23:59:59.000Z

457

Earth System Grid II, Turning Climate Datasets into Community Resources  

SciTech Connect (OSTI)

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

Middleton, Don

2006-08-01T23:59:59.000Z

458

Non-Cooperative Facial Recognition Video Dataset Collection Plan  

SciTech Connect (OSTI)

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

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

2013-08-31T23:59:59.000Z

459

Nuclear Mass Datasets and Models at nuclearmasses.org  

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

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

460

OpenEI:Projects/Datasets Improvements | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar Powerstories onFocus AreaDataBusPFAN)ChangeOnPACen 2014Versionpolicies

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

OpenEI:Projects/Datasets Patterns | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar Powerstories onFocus AreaDataBusPFAN)ChangeOnPACen 2014VersionpoliciesPatterns

462

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey,(Monaster And Coolbaugh, 2007)is 109.Lindley, New York:Linked Data

463

DOE Launches New Dataset on its Environmental Reviews | Department of  

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana. DOCUMENTSof Energy DOE ChallengeThese(NoticeStandardsEnergy

464

aster dataset zoom: Topics by E-print Network  

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

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

465

Data Quality Mining: Employing Classifiers for Assuring consistent Datasets  

E-Print Network [OSTI]

Ossietzky Universität Oldenburg, Germany, fabian.gruening@informatik.uni-oldenburg.de Abstract: Independent.g. wind power and biogas plants, and combined heat and power generation together with the conventional

Appelrath, Hans-Jürgen

466

Nepal: Applications of Renewable Energy Technologies - Datasets - OpenEI  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 -Energieprojekte3InformationofServices TMSNemaha-Marshall E C A,

467

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectricEnergyCTBarreisVolcanicPowerRaft River 5Courts Jump to:Information

468

Energy API and dataset overview | OpenEI Community  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has beenFfe2fb55-352f-473b-a2dd-50ae8b27f0a6 No revisionWind,Soils andOpenEnerSys JumpEko Pyt Srland

469

NREL: Transmission Grid Integration - Solar Integration National Dataset  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the Contributions andData and ResourcesOtherForecasting NRELResearch Staff

470

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation,Ohio:GreerHiCalifornia:ISIIrrigationDesertIndeen Biopower Ltd

471

Dataset Descriptions and Results Various StatLog partners  

E-Print Network [OSTI]

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

Taylor, Charles C.

472

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

E-Print Network [OSTI]

on wind turbine rotors using simple vortex tube analysis · Free wake lifting line (FWLL) analysis XI & XX meeting June 14.th 2007: Can winglets increase Cp? Why try putting winglets on wind turbines, freestream, wake & bound vorticity! · In free-wake methods, the wake is force-free, which implies

473

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

E-Print Network [OSTI]

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

Royer, Dana

474

Title: Do Ion Generators Have A Role In Sustainable Indoor Environments? Keywords: filters, indoor air quality equipment & products, air cleaning equipment  

E-Print Network [OSTI]

electrostatic precipitators, these devices work by charging incoming particles with a corona and removing them

Siegel, Jeffrey

475

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

E-Print Network [OSTI]

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

Mishra, Jayanta Kumar

1999-01-01T23:59:59.000Z

476

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

E-Print Network [OSTI]

,70 Electricity chain total, =0,41 Transport chain total, =0,52 elec. heat motion Is the hydrogen produced from wind power if the wind turbines are grid connected ? Can you guide "surplus" wind power electrons and reservoir level Heat bindings Electricity demand Heat demand Transport fuel demand 0,00 0,20 0,40 0,60 0

477

Keywords. Area selection; biodiversity; place prioritization; surrogacy J. Biosci. | Vol. 27 | No. 4 | Suppl. 2 | July 2002 | 299308 | Indian Academy of Sciences  

E-Print Network [OSTI]

for conservation planning SAHOTRA SARKAR* and CHRIS MARGULES Biodiversity and Biocultural Conservation Laboratory at biodiversity conservation. Because biodiversity is rooted in place, the task of conserving biodiversity should target places for conservation action; and because all places contain biodiversity, but not all places

Sarkar, Sahotra

478

MODELLING THE OVERLAND TRANSPORT OF LEAD DEPOSITED FROM THE ATMOSPHERE IN THE ELBE CATCHMENT OVER FOUR  

E-Print Network [OSTI]

unknown. Despite decreasing atmospheric pollution, soil and freshwater systems still indicate high lead on minimizing atmospheric emissions, but also on minimizing soil erosion. Keywords: atmospheric pollution, direct atmospheric deposition, direct runoff, Elbe catchment, erosion, soil pollution, lead, long

Costa-Cabral, Mariza

479

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

DOE Patents [OSTI]

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

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

2010-08-03T23:59:59.000Z

480

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

E-Print Network [OSTI]

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

Pillow, Jonathan

Note: This page contains sample records for the topic "unknown keywords dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Site-specific survival rates for cancer of unknown primary according to location of metastases  

E-Print Network [OSTI]

University School of Medicine, Palo Alto, CA 4 Cancer Gene Therapy Group, Molecular Cancer Biology Program tumor often remains unidentified. Limited population-based survival data are available for metastatic) site is one of the most fatal cancers with a median survival of about 3 months based on population

Hemminki, Akseli

482

The challenges of understanding cancer of unknown primary Kari Hemminki1,2  

E-Print Network [OSTI]

, Malmo, Sweden 3 Stanford Prevention Research Center, Stanford University School of Medicine, Palo Alto among the most fatal cancers and the apparent survival varies, depending on how the patient population-based studies it ranged from 3 to 11 months.1 The median survival in our recent Swedish population-based study

Hemminki, Akseli

483

Epigenetics and metabolism in 2014: Metabolic programming—knowns, unknowns and possibilities  

E-Print Network [OSTI]

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

Ozanne, Susan E.

2014-12-09T23:59:59.000Z

484

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

E-Print Network [OSTI]

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

Szilagyi, Jozsef

485

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

E-Print Network [OSTI]

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

Ma, Wing-Kin "Ken"

486

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

E-Print Network [OSTI]

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

Cangelosi, Angelo

487

Detecting the Violation of Factorial Invariance with an Unknown Reference Variable  

E-Print Network [OSTI]

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

Jung, Eunju

2014-08-04T23:59:59.000Z

488

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

E-Print Network [OSTI]

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

Boyer, Edmond

489

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

E-Print Network [OSTI]

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

Kemege, Kyle Evan

2013-05-31T23:59:59.000Z

490

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

E-Print Network [OSTI]

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

Mazzini, Francesco

491

E-Print Network 3.0 - addressing unknown constants Sample Search...  

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

and Information Sciences 63 Information entered below will replace existing data. Only enter data in the yellow boxes you wish to have updated Summary: if known or...

492

FODDIS et al Identification of the unknown pollution source in the  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

493

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

SciTech Connect (OSTI)

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

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

2012-01-01T23:59:59.000Z

494

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

E-Print Network [OSTI]

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

Ortega, Pedro Alejandro Jr

2011-07-12T23:59:59.000Z

495

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

E-Print Network [OSTI]

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

Wang, Lingyu

496

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

E-Print Network [OSTI]

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

Noel, Steven

497

Defending against the Unknown Enemy: Applying FlipIt to System Security  

E-Print Network [OSTI]

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

Bowers, Kevin D.

2012-01-01T23:59:59.000Z

498

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest Regionat Cornell Batteries & Fuel Cells In ThisMetal

499

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

E-Print Network [OSTI]

Distribution Huseyin Mutlu, Murat Alanyali, and David Starobinski Department of Electrical and Computer in the literature [3­5]. Recent works introduced pric- ing strategies specifically tailored for secondary access

Alanyali, Murat

500

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

E-Print Network [OSTI]

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

L. Torres

2014-06-20T23:59:59.000Z