Sample records for type dataset lessons

  1. Tension in the Recent Type Ia Supernovae Datasets

    E-Print Network [OSTI]

    Hao Wei

    2010-04-07T23:59:59.000Z

    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.

  2. LESSONS

    E-Print Network [OSTI]

    Bunker, G.

    2012-01-01T23:59:59.000Z

    University) ? Whole house retrofit solution gbunker@dmu.ac.ukInsights ? Thermal bridging reduced ? Passive solar strategy ? Lessons - Specialist knowledge sought for correct detailing - Openings must be the same on all properties - Prevents problems.../refurbishment. ? Initially for housing and school design. ? Offices, retail, courts etc....future additions ? Also addition of other environmental features..water gbunker@dmu.ac.uk Objectives of LESSONS ? Existing tools provide means of calculation and have no lessons...

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

    SciTech Connect (OSTI)

    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

    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.

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

    E-Print Network [OSTI]

    Hao Wei; Ningning Tang; Shuang Nan Zhang

    2007-02-28T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Lixin Xu; Chengwu Zhang; Baorong Chang; Hongya Liu

    2007-01-17T23:59:59.000Z

    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 $b=3.82^{+3.70}_{-2.27}$.

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

    E-Print Network [OSTI]

    Ujjaini Alam; Varun Sahni; Alexei A. Starobinsky

    2006-12-14T23:59:59.000Z

    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.

  7. Lessons Learned

    E-Print Network [OSTI]

    DiMento, Joseph F.C.

    2000-01-01T23:59:59.000Z

    Lessons Learned Joseph F.C. DiMento The contributions insuccessful in bringing LESSONS LEARNED parties to discuss arelations." Yet LESSONS LEARNED "innovations" in the

  8. Dataset Issues in Object Recognition J. Ponce1,2

    E-Print Network [OSTI]

    Everingham, Mark

    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

  9. Synthetic Datasets Rong Huang, Rada Chirkova, Yahya Fathi

    E-Print Network [OSTI]

    Young, R. Michael

    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

  10. 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

  11. Fluxnet Synthesis Dataset Collaboration Infrastructure

    E-Print Network [OSTI]

    Agarwal, Deborah A.

    2009-01-01T23:59:59.000Z

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

  12. Introduction Real datasets with known classes

    E-Print Network [OSTI]

    Hennig, Christian

    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

  13. Instructions for Glacier Recession Lesson Objective: Students will learn

    E-Print Network [OSTI]

    Instructions for Glacier Recession Lesson Objective: Students will learn: - about the connection post-discussion) The movie or some other type of lesson relating glaciers to climate change should amount of ice and multiply by 100. If using Option 3 (GIS lesson on computers): #12;

  14. PowerPoints, Video Lessons and Outlines

    E-Print Network [OSTI]

    Lesson 1 Video · Lesson 1 Outline ... Lesson 2 Video · Lesson 2 Outline. 9/1. Labor Day. No Classes. 9/2. 9/3. Lesson 3 PowerPoint · Lesson 3 Video · Lesson 3 ...

  15. Lesson Plan

    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 Surfaces and Interfaces Sample6, 2011 LawrenceE C H NLensless Lesson 16 -

  16. Lesson Plan

    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 Surfaces and Interfaces Sample6, 2011 LawrenceE C H NLensless Lesson 16 -K-2 Common

  17. Lesson Plan

    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 Surfaces and Interfaces Sample6, 2011 LawrenceE C H NLensless Lesson 16 -K-2

  18. Lesson Plan

    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 Surfaces and Interfaces Sample6, 2011 LawrenceE C H NLensless Lesson 16

  19. Lesson Plan

    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 Surfaces and Interfaces Sample6, 2011 LawrenceE C H NLensless Lesson 169-12 Rate of

  20. Lesson Plan

    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 Surfaces and Interfaces Sample6, 2011 LawrenceE C H NLensless Lesson 169-12 Rate

  1. Lesson Plan

    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 Surfaces and Interfaces Sample6, 2011 LawrenceE C H NLensless Lesson 169-12 RateWhen

  2. Lesson Plan

    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 Surfaces and Interfaces Sample6, 2011 LawrenceE C H NLensless Lesson 169-12

  3. DOE Lessons Learned

    Broader source: Energy.gov [DOE]

    DOE Lessons Learned Information Services Catches the Eye of Corporations and Educational Institutions

  4. Lessons Learned | Department of Energy

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

    Lessons Learned Lessons Learned The Department of Energy utilizes project management lessons learned (PMLL) in the execution of DOE capital asset projects to improve current and...

  5. Comparison of Recent SnIa datasets

    E-Print Network [OSTI]

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

    2009-10-01T23:59:59.000Z

    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.

  6. Framework for Interactive Parallel Dataset Analysis on the Grid

    SciTech Connect (OSTI)

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

    2007-01-10T23:59:59.000Z

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

  7. Rediscovering old datasets Paul Withers

    E-Print Network [OSTI]

    Withers, Paul

    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

  8. Video Lessons, PowerPoints, and Outlines

    E-Print Network [OSTI]

    POWERPOINT PRESENTATIONS, VIDEO LESSONS AND OUTLINES ... 6/11. Lesson 1 PowerPoint (Part A) · Lesson 1 PowerPoint (Part B) · Lesson 1 Video.

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

    E-Print Network [OSTI]

    New Hampshire, University of

    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

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

    E-Print Network [OSTI]

    Sundberg, Rolf

    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

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

    E-Print Network [OSTI]

    Yang, Jing

    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

  12. A new bed elevation dataset for Greenland

    E-Print Network [OSTI]

    2013-01-01T23:59:59.000Z

    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)

  13. Cycle Track Lessons Learned

    E-Print Network [OSTI]

    Bertini, Robert L.

    Cycle Track Lessons Learned #12;Presentation Overview · Bicycling trends · Cycle track lessons learned · What is a "Cycle track"? · Essential design elements of cycle tracks Separation Width Crossing driveways & low-volume streets Signalized intersections #12;Trend in kilometers cycled per year

  14. Scaling Properties of Common Statistical Operators for Gridded Datasets

    E-Print Network [OSTI]

    Zender, C. S; Mangalam, H.

    2007-01-01T23:59:59.000Z

    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

  15. Driving Demand: Lessons From Vermont

    Broader source: Energy.gov [DOE]

    Describes the Efficiency Vermont program and provides lessons learned in marketing and development of creative strategies.

  16. LESSONS LEARNED AND BEST PRACTICES PROGRAM MANUAL

    E-Print Network [OSTI]

    Gravois, Melanie C.

    2007-01-01T23:59:59.000Z

    Experience Program. LESSONS LEARNED AND BEST PRACTICESUpon receipt of a Lessons Learned/Best Practices Feedbackreview disseminated Lessons Learned/Best Practices Briefings

  17. Chromatin insulators: lessons from the fly

    E-Print Network [OSTI]

    Corces, Victor G.

    Chromatin insulators: lessons from the fly B.V.Gurudatta and Victor G.Corces Abstract Chromatin insulators are DNA^protein complexes with broad functions in nuclear biology. Drosophila has at least five different types of insulators; recent results suggest that these different insulators share some components

  18. Sharing Lessons Learned

    SciTech Connect (OSTI)

    Mohler, Bryan L.

    2004-09-01T23:59:59.000Z

    Workplace safety is inextricably tied to the culture – the leadership, management and organization – of the entire company. Nor is a safety lesson fundamentally different from any other business lesson. With these points in mind, Pacific Northwest National Laboratory recast its lessons learned program in 2000. The laboratory retained elements of a traditional lessons learned program, such as tracking and trending safety metrics, and added a best practices element to increase staff involvement in creating a safer, healthier work environment. Today, the Lessons Learned/Best Practices program offers the latest business thinking summarized from current external publications and shares better ways PNNL staff have discovered for doing things. According to PNNL strategic planning director Marilyn Quadrel, the goal is to sharpen the business acumen, project management ability and leadership skills of all staff and to capture the benefits of practices that emerge from lessons learned. A key tool in the PNNL effort to accelerate learning from past mistakes is one that can be easily implemented by other firms and tailored to their specific needs. It is the weekly placement of Lessons Learned/Best Practices articles in the lab’s internal electronic newsletter. The program is equally applicable in highly regulated environments, such as the national laboratories, and in enterprises that may have fewer external requirements imposed on their operations. And it is cost effective, using less than the equivalent of one fulltime person to administer.

  19. Lesson 34a: Environment

    E-Print Network [OSTI]

    Pasifiki [Pacific Ocean] Bahari Aktiki [Arctic Ocean] Bahari ya Mediterani [Mediterranean Sea] Bahari yaLesson 34a: Environment Environment [mazingira] bahari / bahari [ocean / sea / oceans / seas / farms] Bahari [ocean / sea] Bahari Hindi [Indian Ocean] Bahari Atlantiki [Atlantic Ocean] Bahari

  20. The Alameda Corridor: Lessons Learned

    E-Print Network [OSTI]

    Bertini, Robert L.

    The Alameda Corridor: Lessons Learned Plus Past and Future Challenges Presented to: Portland State Corridor **Trucked around Corridor but leaves or enters Southern California by rail. #12;Lessons Learned

  1. Fluxnet Synthesis Dataset Collaboration Infrastructure

    SciTech Connect (OSTI)

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

    2008-02-06T23:59:59.000Z

    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.

  2. angioplasty network lessons: Topics by E-print Network

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

    Forum Lesson Plan Multimedia Project Workbin Library E-Reserves Lesson Plan : SOFTWARE TESTING;3102014 Lesson Plan https:ivle.nus.edu.sgLessonPlanstudent...

  3. 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

  4. Distribution-sensitive learning for imbalanced datasets

    E-Print Network [OSTI]

    Song, Yale

    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 ...

  5. 1 Calibration against independent human travel datasets

    E-Print Network [OSTI]

    Shull, Kenneth R.

    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

  6. Bayesian evidence as a tool for comparing datasets

    E-Print Network [OSTI]

    Phil Marshall; Nutan Rajguru; Anze Slosar

    2007-10-30T23:59:59.000Z

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

  7. European Climate Assessment & Dataset Report 2008

    E-Print Network [OSTI]

    Stoffelen, Ad

    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

  8. Integrated Datasets (IDs) Wood/Bretherton proposal

    E-Print Network [OSTI]

    Wood, Robert

    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

  9. Unbiased Look at Dataset Bias Antonio Torralba

    E-Print Network [OSTI]

    Guestrin, Carlos

    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

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

    E-Print Network [OSTI]

    Guichard, Francoise

    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

  11. World Lessons Thomas Turrentine

    E-Print Network [OSTI]

    California at Davis, University of

    ) ­ The Clinton Initiative ­ Rocky Mountain Institute ­ IEA Task 18 ­ UC Davis PH&EV Center (the WECE website) #12-4% till 2007, now 15% in 2012 ­ Early experiments prepared market, strategic timing of sales tax reduction waiting to buy) Lessons Learned in the Deployment of EVs during the 1990s · Annex 14 of the Implementation

  12. Project Learning What are the "Lessons Learned"

    E-Print Network [OSTI]

    Christian, Eric

    Project Learning What are the "Lessons Learned" requirements? How can you fulfill the requirements the initial Lessons Learned Plan after KDP A and incorporate into the Preliminary Project Plan; Hold a PaL after KDP D/launch, review and submit lessons · Consolidate all Lessons Learned into a Final Lessons

  13. Lessons Learned Quarterly Report, June 2004

    Broader source: Energy.gov [DOE]

    Welcome to the 39th quarterly report on lessons learned in the NEPA process. In this issue we are continuing a multi-part examination of lessons learned from Lessons Learned.

  14. Lessons Learned Quarterly Report, March 2004

    Broader source: Energy.gov [DOE]

    Welcome to the 38th quarterly report on lessons learned in the NEPA process. In this issue we are continuing a multi-part examination of lessons learned from Lessons Learned.

  15. Refueling Infrastructure for Alternative Fuel Vehicles: Lessons...

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

    Refueling Infrastructure for Alternative Fuel Vehicles: Lessons Learned for Hydrogen Refueling Infrastructure for Alternative Fuel Vehicles: Lessons Learned for Hydrogen On April...

  16. Sample Lesson Plan Safety and Health Programs 1 Lesson Plan

    E-Print Network [OSTI]

    Homes, Christopher C.

    culture that reduces accidents for workers and improves the bottom line for managers. When safetySample Lesson Plan ­ Safety and Health Programs 1 Lesson Plan General Industry Outreach Training Program (10-hour) Topic: Safety and Health Programs Overview Effective management of worker safety

  17. Fall 2012 focal follow FAD GPS dataset

    E-Print Network [OSTI]

    Alvard, Michael

    2014-06-11T23:59:59.000Z

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

  18. NEPA Lessons Learned Questionnaire

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-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) "of EnergyEnergyENERGY TAXBalanced Scorecard Federal2 to:Diesel Engines |ServicesfromJanuary2,3-13Lessons

  19. Lesson 16 - Pinwheel

    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 Surfaces and Interfaces Sample6, 2011 LawrenceE C H NLensless Lesson 16 - Pinwheel

  20. Lesson 9 - Solar Ovens

    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 Surfaces and Interfaces Sample6, 2011 LawrenceE C H NLensless Lesson 16 - Pinwheel

  1. File: 070629 Lessons Learned

    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: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office Programs forDecemberLessons Learned"

  2. Early Lessons Learned

    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 JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4: Networking for the Future of DOE ScienceEarly EdisonLessons

  3. HEART SMART NUTRITION Lesson Series Evaluation

    E-Print Network [OSTI]

    HEART SMART NUTRITION Lesson Series Evaluation Please check the appropriate column if you did any of these activities either before or after receiving and reading the HeartSmart Nutrition lessons. Lifestyle Practices/Activities BEFORE Reading Lessons AFTER Reading Lessons Read any heart disease and nutrition information or website

  4. ARTIFICIAL INTELLIGENCE ] Learning One Subprocedure per Lesson

    E-Print Network [OSTI]

    VanLehn, Kurt

    ARTIFICIAL INTELLIGENCE ] Learning One Subprocedure per Lesson Kurt VanLehn Department be called learning from lesson s'equence.~, because the extra information given to the learner is embedded section ,of this article, a variant of learning from lesson sequcnccs will bc discusscd whercm lessons arc

  5. Lessons Learned: Peer Exchange Calls Fall 2014 | Department of...

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

    Calls Fall 2014 Lessons Learned: Peer Exchange Calls Fall 2014 Better Buildings Residential Network, Lessons Learned: Peer Exchange Calls Fall 2014. Lessons Learned: Peer...

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

    E-Print Network [OSTI]

    Zincir-Heywood, Nur

    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

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

    E-Print Network [OSTI]

    Yang, Jing

    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

  8. 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

  9. St. Louis FUSRAP Lessons Learned

    SciTech Connect (OSTI)

    Eberlin, J.; Williams, D.; Mueller, D.

    2003-02-26T23:59:59.000Z

    The purpose of this paper is to present lessons learned from fours years' experience conducting Remedial Investigation and Remedial Action activities at the St. Louis Downtown Site (SLDS) under the Formerly Utilized Sites Remedial Action Program (FUSRAP). Many FUSRAP sites are experiencing challenges conducting Remedial Actions within forecasted volume and budget estimates. The St. Louis FUSRAP lessons learned provide insight to options for cost effective remediation at FUSRAP sites. The lessons learned are focused on project planning (budget and schedule), investigation, design, and construction.

  10. Reconstructing thawing quintessence with multiple datasets

    E-Print Network [OSTI]

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

    2015-01-01T23:59:59.000Z

    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.

  11. Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets

    E-Print Network [OSTI]

    Eick, Christoph F.

    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

  12. 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

  13. Lesson 11 Exam 1 Review

    E-Print Network [OSTI]

    2013-09-13T23:59:59.000Z

    Sep 11, 2013 ... Today we're going to spend the majority of the time talking about word problems, and leave Monday for other topics. Lesson 11 Exam 1 Review.

  14. A new bed elevation dataset for Greenland

    E-Print Network [OSTI]

    2013-01-01T23:59:59.000Z

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

  15. Maximum Entropy in Support of Semantically Annotated Datasets

    E-Print Network [OSTI]

    Kreinovich, Vladik

    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

  16. 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

  17. Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets

    E-Print Network [OSTI]

    Zhang, Li

    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

  18. American Process—Alpena Biorefinery Lessons

    Broader source: Energy.gov [DOE]

    Breakout Session 1D—Building Market Confidence and Understanding I: Integrated Biorefinery (Lessons Learned and Best Practices) American Process—Alpena Biorefinery Lessons Theodora Retsina, Chief Executive Officer, America Process Inc.

  19. Lessons Learned Tracy Glauser, M.D.

    E-Print Network [OSTI]

    Lessons Learned Tracy Glauser, M.D. Cincinnati Children's Hospital Medical Center #12;Overview 1. Lessons Learned a. NeuroNEXT Executive Committee b. NINDS clinical trials (NSD-K) study section c. PI

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

    E-Print Network [OSTI]

    Taylor, Charles C.

    APPENDICES A Dataset availability The ``public domain'' datasets are listed below with an anonymous 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

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

    E-Print Network [OSTI]

    Torgersen, Christian

    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

  2. Environmental Restoration Disposal Facility Lessons Learned

    SciTech Connect (OSTI)

    Caulfield, R.

    2012-07-12T23:59:59.000Z

    The purpose of lessons learned is to identify insight gained during a project – successes or failures – that can be applied on future projects. Lessons learned can contribute to the overall success of a project by building on approaches that have worked well and avoiding previous mistakes. Below are examples of lessons learned during ERDF’s ARRA-funded expansion project.

  3. LESSONS LEARNED AND BEST PRACTICES PROGRAM MANUAL

    E-Print Network [OSTI]

    LESSONS LEARNED AND BEST PRACTICES PROGRAM MANUAL LBNL/PUB-5519 (4), Rev. 1 Approved by: _James (4), Rev. 1 Page 2 of 15 Lessons Learned and Best Practices Program Manual RECORD OF REVISION........................................................................................ 15 #12;LBNL/PUB-5519 (4), Rev. 1 Page 4 of 15 Lessons Learned and Best Practices Program Manual 1

  4. Satellite Navigation Integrity Assurance: Lessons Learned

    E-Print Network [OSTI]

    Stanford University

    Satellite Navigation Integrity Assurance: Lessons Learned from Hurricane Katrina ION GNSS 2008 by the FAA Satellite Navigation Program Office #12;17 September 2008 Lessons Learned from Hurricane Katrina 2 for probabilistic modeling and analysis #12;17 September 2008 Lessons Learned from Hurricane Katrina 3 Key Sources

  5. INCOSE 2007 1 Lessons Learned From

    E-Print Network [OSTI]

    de Weck, Olivier L.

    INCOSE 2007 1 Lessons Learned From Industrial Validation of COSYSMO 17th INCOSE Symposium Dr. Gan is not standardized · Model development process yielded 11 lessons learned Valerdi, R., Rieff, J., Roedler, G., Wheaton, M., Lessons Learned from Collecting Systems Engineering Data, Conference on Systems Engineering

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

    SciTech Connect (OSTI)

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

    2011-01-01T23:59:59.000Z

    Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy. In a large scale screening environment DME can be assessed by detecting exudates (a type of bright lesions) in fundus images. In this work, we introduce a new methodology for diagnosis of DME using a novel set of features based on colour, wavelet decomposition and automatic lesion segmentation. These features are employed to train a classifier able to automatically diagnose DME 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.

  7. Lessons Learned from Safety Events

    SciTech Connect (OSTI)

    Weiner, Steven C.; Fassbender, Linda L.

    2012-11-01T23:59:59.000Z

    The Hydrogen Incident Reporting and Lessons Learned website (www.h2incidents.org) was launched in 2006 as a database-driven resource for sharing lessons learned from hydrogen-related safety events to raise safety awareness and encourage knowledge-sharing. The development of this database, its first uses and subsequent enhancements have been described at the Second and Third International Conferences on Hydrogen Safety. [1,2] Since 2009, continuing work has not only highlighted the value of safety lessons learned, but enhanced how the database provides access to another safety knowledge tool, Hydrogen Safety Best Practices (http://h2bestpractices.org). Collaborations with the International Energy Agency (IEA) Hydrogen Implementing Agreement (HIA) Task 19 – Hydrogen Safety and others have enabled the database to capture safety event learnings from around the world. This paper updates recent progress, highlights the new “Lessons Learned Corner” as one means for knowledge-sharing and examines the broader potential for collecting, analyzing and using safety event information.

  8. Field observations and lessons learned

    SciTech Connect (OSTI)

    Nielsen, Joh B [Los Alamos National Laboratory

    2010-01-01T23:59:59.000Z

    This presentation outlines observations and lessons learned from the Megaports program. It provides: (1) details of field and technical observations collected during LANL field activities at ports around the world and details of observations collected during radiation detections system testing at Los Alamos National Laboratory; (2) provides suggestions for improvement and efficiency; and (3) discusses possible program execution changes for more effective operations.

  9. Probing cosmic acceleration by using the SNLS3 SNIa dataset

    SciTech Connect (OSTI)

    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

    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.

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

    E-Print Network [OSTI]

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

    1999-01-01T23:59:59.000Z

    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

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

    E-Print Network [OSTI]

    Sim, Alexander

    2010-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

    2010-01-01T23:59:59.000Z

    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

  13. Sensitivity of Steel Casting Simulation Results to Alloy Property Datasets

    E-Print Network [OSTI]

    Beckermann, Christoph

    1 Sensitivity of Steel Casting Simulation Results to Alloy Property Datasets Kent D. Carlson 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

  14. Covariance Tapering for Interpolation of Large Spatial Datasets

    E-Print Network [OSTI]

    Genton, Marc G.

    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

  15. Columbia Photographic Images and Photorealistic Computer Graphics Dataset

    E-Print Network [OSTI]

    Chang, Shih-Fu

    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

  16. RENOIR -A Benchmark Dataset for Real Noise Reduction Evaluation

    E-Print Network [OSTI]

    Barbu, Adrian

    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

  17. Estimating Dataset Size Requirements for Classifying DNA Microarray Data

    E-Print Network [OSTI]

    Poggio, Tomaso

    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

  18. Datasets for the Evaluation of Substitution-Tolerant Subgraph Isomorphism

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    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

  19. A Dataset Search Engine for the Research Document Corpus

    E-Print Network [OSTI]

    Cormode, Graham

    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

  20. Updating the Tyrol tree-ring dataset , U. Bntgen1

    E-Print Network [OSTI]

    Nicolussi, Kurt

    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

  1. A Dataset Search Engine for the Research Document Corpus

    E-Print Network [OSTI]

    Fisher, Kathleen

    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

  2. Overcoming Dataset Bias: An Unsupervised Domain Adaptation Approach

    E-Print Network [OSTI]

    Grauman, Kristen

    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

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

    E-Print Network [OSTI]

    Eeckhout, Lieven

    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

  4. Probing Metagenomics by Rapid Cluster Analysis of Very Large Datasets

    E-Print Network [OSTI]

    Weitz, Joshua S.

    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

  5. Lessons Learned Quarterly Report Archive | Department of Energy

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

    March 1, 2002 Lessons Learned Quarterly Report, March 2002 Welcome to the 30th quarterly report on lessons learned in the NEPA process. December 5, 2001 Lessons Learned Quarterly...

  6. Lessons learned from RTG programs

    SciTech Connect (OSTI)

    Reinstrom, R.M.; Cockfield, R.D. [Lockheed Martin Missiles and Space, P.O. Box 8555, Philadelphia, Pennsylvania 19101 (United States)

    1998-01-01T23:59:59.000Z

    During the Cassini Radioisotope Thermoelectric Generator (RTG) program, the heritage RTG design was reviewed and modified to incorporate lessons learned. Design changes were made both to resolve problems as they occurred and to correct difficulties noted in earlier missions. Topics addressed in this paper included problems experienced previously at the launch facility in attaching the pressure relief device to the generators, and the open circuit conditions that occurred at times in the resistance temperature device wiring harness. Also discussed is a problem caused by mistakes in software configuration management. How lessons learned refined the RTG design and integration with the spacecraft are discussed and the adopted solutions are described. {copyright} {ital 1998 Lockheed Martin Missles and Space, reproduced with permission.}

  7. System safety management lessons learned

    SciTech Connect (OSTI)

    Piatt, J.A.

    1989-05-01T23:59:59.000Z

    The Assistant Secretary of the Army for Research, Development and Acquisition directed the Army Safety Center to provide an audit of the causes of accidents and safety of use restrictions on recently fielded systems by tracking residual hazards back through the acquisition process. The objective was to develop ''lessons learned'' that could be applied to the acquisition process to minimize mishaps in fielded systems. System safety management lessons learned are defined as Army practices or policies, derived from past successes and failures, that are expected to be effective in eliminating or reducing specific systemic causes of residual hazards. They are broadly applicable and supportive of the Army structure and acquisition objectives. 29 refs., 7 figs.

  8. Lessons Learned | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy UsageAUDITVehicles »Exchange Visitorsfor Shade Landscaping for ShadeLessons Learned

  9. Lessons Learned Quarterly Report, September 1999

    Broader source: Energy.gov [DOE]

    Welcome to the 20th Quarterly Report on lessons learned in the NEPA process. This issue includes a cumulative index for the past five years.

  10. Lessons Learned Quarterly Report, June 2003

    Broader source: Energy.gov [DOE]

    Welcome to the 35th quarterly report on lessons learned in the NEPA process. We are pleased to include in this issue three new mini-guidance articles.

  11. Lessons Learned from Net Zero Energy Assessments and Renewable...

    Office of Environmental Management (EM)

    Lessons Learned from Net Zero Energy Assessments and Renewable Energy Projects at Military Installations Lessons Learned from Net Zero Energy Assessments and Renewable Energy...

  12. Soil and Groundwater Cleanup - In-Situ Grouting, Lessons Learned...

    Energy Savers [EERE]

    Soil and Groundwater Cleanup - In-Situ Grouting, Lessons Learned (Post CD-4), Environmental Management Cleanup, May 2011 Soil and Groundwater Cleanup - In-Situ Grouting, Lessons...

  13. Multi-Path Transportation Futures Study - Lessons for the Transportati...

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

    Multi-Path Transportation Futures Study - Lessons for the Transportation Energy Futures Study Multi-Path Transportation Futures Study - Lessons for the Transportation Energy...

  14. Contractor Work Planning and Control Lessons Learned from DOE...

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

    Work Planning and Control Lessons Learned from DOE and International Projects Contractor Work Planning and Control Lessons Learned from DOE and International Projects Addthis...

  15. James Webb Space Telescope: PM Lessons Applied - Eric Smith,...

    Energy Savers [EERE]

    James Webb Space Telescope: PM Lessons Applied - Eric Smith, Deputy Program Director, NASA James Webb Space Telescope: PM Lessons Applied - Eric Smith, Deputy Program Director,...

  16. Better Buildings Residential Network: Lessons Learned: Peer Exchange...

    Energy Savers [EERE]

    Better Buildings Residential Network: Lessons Learned: Peer Exchange Calls Better Buildings Residential Network: Lessons Learned: Peer Exchange Calls Better Buildings Residential...

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

    SciTech Connect (OSTI)

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

    2014-03-31T23:59:59.000Z

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

  18. Learning Lessons to Promote Certification and

    E-Print Network [OSTI]

    Financing and Investment in Companies Engaged in Destructive or Illegal Logging in Indonesia 14 2Learning Lessons to Promote Certification and Combat Illegal Logging in Indonesia September 2003;Learning Lessons to Promote Certification and Combat Illegal Logging in Indonesia September 2003 to June

  19. Lessons Learned Quarterly Report, June 2005

    Broader source: Energy.gov [DOE]

    Welcome to the 43rd quarterly report on lessons learned in the NEPA process. In this issue we take a look at our hard-working NEPA Compliance Of?cers, who share bits of wisdom (and a little humor) gained from their lessons learned implementing NEPA. Countless thanks to all NCOs for their dedication, ?exibility, and perseverance.

  20. Lessons Learned Quarterly Report, March 2007

    Broader source: Energy.gov [DOE]

    Welcome to the 50th quarterly report on lessons learned in the NEPA process. The Of?ce of NEPA Policy and Compliance launched the Lessons Learned program in December 1994 to support continuous improvement in the NEPA process. The Of?ce began by presenting cost and time metrics and “What Worked and What Didn’t Work.” Other features were soon introduced.

  1. SPECIAL SEMINAR Cheating Lessons: Learning from

    E-Print Network [OSTI]

    Liberzon, Daniel

    SPECIAL SEMINAR Cheating Lessons: Learning from Academic Dishonesty SPONSORED BY THE CENTER Lang is author of four books, the most recent of which are Cheating Lessons: Learning from Aca- demic FOR INNOVATION IN TEACHING & LEARNING AND NATIONAL CENTER FOR PROFESSIONAL & RESEARCH ETHICS Thurs, May 29, 2014

  2. Lessons 6 Graphs of Functional Models

    E-Print Network [OSTI]

    2013-08-30T23:59:59.000Z

    Aug 30, 2013 ... One of the problems (#1) illustrates the principle of supply and demand, ... All of the problems involve building up a function model (see Lesson 5) ... Granite Management rents out several apartment complexes in the .... Side. 0.001 per cm2. Bottom. 0.005 per cm2. Lessons 6 Graphs of Functional Models.

  3. 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

  4. 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

  5. Implementing US Department of Energy lessons learned programs. Volume 2

    SciTech Connect (OSTI)

    NONE

    1995-08-01T23:59:59.000Z

    The DOE Lessons Learned Handbook is a two-volume publication developed to supplement the DOE Lessons Learned Standard (DOE-STD-7501-95) with information that will organizations in developing or improving their lessons learned programs. Volume 1 includes greater detail than the Standard in areas such as identification and documentation of lessons learned; it also contains sections on specific processes such as training and performance measurement. Volume 2 (this document) contains examples of program documents developed by existing lessons learned programs as well as communications material, functional categories, transmittal documents, sources of professional and industry lessons learned, and frequently asked questions about the Lessons Learned List Service.

  6. Smart Parking Linked to Transit: Lessons Learned from the San Francisco Bay Area Field Test

    E-Print Network [OSTI]

    Shaheen, Susan; Kemmerer, Charlene

    2007-01-01T23:59:59.000Z

    LINKED TO TRANSIT: LESSONS LEARNED FROM THE SAN FRANCISCOmonth on average. Key lessons learned include that it wouldof the field test, and lessons learned. Key Words: Smart

  7. Reasoning about Probabilistic Phenomena: Lessons Learned and Applied in Software Design

    E-Print Network [OSTI]

    Lee, Hollylynne S; Lee, J. Todd

    2009-01-01T23:59:59.000Z

    Probabilistic Phenomena: Lessons Learned and Applied inand empirical data. The lessons learned from students’ worksome of the key lessons learned within each of these

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

    SciTech Connect (OSTI)

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

    2011-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Shuang Wang; Xiao-Dong Li; Miao Li

    2011-01-04T23:59:59.000Z

    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.

  10. Visualization of Cosmological Particle-Based Datasets

    E-Print Network [OSTI]

    Paul Arthur Navrátil; Jarrett L. Johnson; Volker Bromm

    2007-08-07T23:59:59.000Z

    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.

  11. MA15910 Lesson 27 Notes (part 1 of section 5.4) This lesson covers ...

    E-Print Network [OSTI]

    Bailey, Charlotte M

    2014-11-06T23:59:59.000Z

    learning of the previous lessons and will allow a student to feel more comfortable about the calculus learned so far. GUIDELINES FOR SKETCHING CURVES. 1.

  12. Sustainable Development: Case Studies & Lessons Learned

    E-Print Network [OSTI]

    Netoff, Theoden

    Sustainable Development: Case Studies & Lessons Learned Prepared For City of Rosemount UMore Development LLC PA 8081 Capstone: Sustainability Planning Humphrey School of Public Affairs University studies that analyze how local and national developments have either successfully implemented sustainable

  13. Lessons Learned Quarterly Report, September 2001

    Broader source: Energy.gov [DOE]

    Welcome to the 28th quarterly report on lessons learned in the NEPA process. This completes our seventh year of providing performance metrics, news, and guidance to the DOE NEPA Community. Please note the cumulative index in this issue.

  14. Lessons Learned Quarterly Report, September 2002

    Broader source: Energy.gov [DOE]

    Welcome to the 32nd quarterly report on lessons learned in the NEPA process. Much of this issue is devoted to reporting on the July DOE NEPA Community Meeting. Also featured is new NEPA-related guidance.

  15. Lessons Learned Quarterly Report, September 2000

    Broader source: Energy.gov [DOE]

    Welcome to the 24th quarterly report on lessons learned in the NEPA process. Note that this issue includes a cumulative index covering the past six years of reports.

  16. Aquatic Species Program (ASP): Lessons Learned

    SciTech Connect (OSTI)

    Jarvis, E. E.

    2008-02-01T23:59:59.000Z

    Presentation on lessons learned from the U.S. Department of Energy?s Aquatic Species Program 1978-1996 microalgae R&D activities, presented at the 2008 AFOSR Workshop in Washington, D.C.

  17. Lessons Learned Quarterly Report, September 2008

    Broader source: Energy.gov [DOE]

    Welcome to the 56th quarterly report on lessons learned in the NEPA process. We are pleased to feature EPA ’s web-based tool for NEPA practitioners, as well as the new DOE NEPA Website.

  18. Lessons Learned Quarterly Report, September 2007

    Broader source: Energy.gov [DOE]

    Welcome to the 52nd quarterly report on lessons learned in the NEPA process. This issue highlights the start of two major DOE EISs and features several guest-written articles.

  19. Lessons Learned Quarterly Report, March 1995

    Broader source: Energy.gov [DOE]

    This second quarterly report summarizes the lessons learned for documents completed between October 1 and December 31, 1994. It is based on responses to the revised questionnaire that was provided...

  20. Fiscal Policy in India: Lessons and Priorities

    E-Print Network [OSTI]

    Singh, Nirvikar; Srinivasan, T. N.

    2004-01-01T23:59:59.000Z

    Fiscal Policy in India, N. Singh and T.February 2004 Fiscal Policy in India: Lessons andReview, 7-26. Fiscal Policy in India, N. Singh and T. N.

  1. Lessons Learned Quarterly Report, March 2003

    Broader source: Energy.gov [DOE]

    Welcome to the 34th quarterly report on lessons learned in the NEPA process. We are pleased to feature the synergy between NEPA and the new DOE Order 450.1, Environmental Protection Program.

  2. Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving

    E-Print Network [OSTI]

    Langley, Pat

    Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving Nada paper to the special issue on Data Mining Lessons Learned presents lessons from data mining applications. Keywords: data mining, machine learning, scientific discovery, lessons learned, applications, collaborative

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

    E-Print Network [OSTI]

    Feigon, Brooke

    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

  4. SECONDARY LEVEL -LESSON PLAN AND ACTIVITIES A New Face on Poverty--Lesson Plan on Poverty

    E-Print Network [OSTI]

    POVERTY SECONDARY LEVEL - LESSON PLAN AND ACTIVITIES A New Face on Poverty--Lesson Plan on Poverty Handout/worksheet G1: Effects of Poverty Handout/worksheet G2: Poverty Statistics Handout/worksheet G3: The Beauty of Smiles in the Face of Despair Handout/worksheet G4: Surviving Poverty, Surviving War Handout

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

    E-Print Network [OSTI]

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

    2012-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Aradottir, E.S.P.

    2013-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Signoroni, Alberto

    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

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

    E-Print Network [OSTI]

    Levin, Judith G.

    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

  9. Spatial Generalization in Operant Learning: Lessons from Professional Basketball

    E-Print Network [OSTI]

    Spatial Generalization in Operant Learning: Lessons from Professional Basketball Tal Neiman1: Neiman T, Loewenstein Y (2014) Spatial Generalization in Operant Learning: Lessons from Professional, Israel Abstract In operant learning, behaviors are reinforced or inhibited in response

  10. The Icecube Data Acquisition Software: Lessons Learned During Distributed, Collaborative,

    E-Print Network [OSTI]

    Geddes, Cameron Guy Robinson

    The Icecube Data Acquisition Software: Lessons Learned During Distributed, Collaborative, Multi@mail.npxdesigns.com, CPMcParland@lbl.gov, SJPatton@lbl.gov Abstract. In this experiential paper we report on lessons learned

  11. Indianapolis Offers a Lesson on Driving Demand | Department of...

    Energy Savers [EERE]

    Indianapolis Offers a Lesson on Driving Demand Indianapolis Offers a Lesson on Driving Demand The flier for EcoHouse, with the headline 'Save energy, save money, improve your home'...

  12. 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...

  13. Going Deep Green: A Whole House Approach- Lessons Learned

    Broader source: Energy.gov [DOE]

    Provides an overview of the SustainableWorks program based in Puget Sound and Spokane, Washington, including lessons learned.

  14. Lessons Learned: The Texas Experience Ross Baldick and Hui Niu

    E-Print Network [OSTI]

    Baldick, Ross

    and lessons that can be drawn from the Texas experience. 1. Introduction Electricity market reform has taken

  15. Response to IG Recommendation to Create a Formal Lessons Learned...

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

    digrecommendations.pdf lessonslearnedigcompilation.pdf More Documents & Publications Integrated Biorefinery Lessons Learned and Best Practices Demonstration and Deployment...

  16. alcoholic pancreatitis lessons: Topics by E-print Network

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

    ... 6 Recognizing an alcohol problem ... 8 Guidelines for family and friends Tullos, Desiree 56 Planning Effective Lessons Unit...

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

    E-Print Network [OSTI]

    Drever, Jonathan

    2014-08-26T23:59:59.000Z

    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...

  18. 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...

  19. LESSONS LEARNED AND BEST PRACTICES DATABASE USER MANUAL

    E-Print Network [OSTI]

    LESSONS LEARNED AND BEST PRACTICES DATABASE USER MANUAL OIA-OCA-0002, Rev. 0 Effective Date: June Lessons Learned and Best Practices Database User Manual RECORD OF REVISION Revision Number Date Approved.............................................................. 26 #12;OIA-OCA-0002, Rev. 0 Page 4 of 26 Lessons Learned and Best Practices Database User Manual 1

  20. Project Learning I. What are the "Lessons Learned"

    E-Print Network [OSTI]

    Christian, Eric

    Project Learning I. What are the "Lessons Learned" requirements? II. How of a Lessons Learned Plan · Project Learning Processes · Timeline of Project Learning Ac;5/4/2012 11 #12;Timeline of AcYviYes · Review lessons learned from other relevant

  1. Lessons Learned from ADVANCE at the UW-Madison

    E-Print Network [OSTI]

    Sheridan, Jennifer

    #12;Lessons Learned from ADVANCE at the UW-Madison What we wish we had known.... #12;Issues Sustainability Dissemination Surprises #12;Lesson Learned, Administrative How to get the most out of your explicitly, and at the beginning #12;Lesson Learned, Programmatic Don't be afraid to deviate from your

  2. Digital Technology For Conviviality 99 Lessons Learned 5555

    E-Print Network [OSTI]

    Digital Technology For Conviviality 99 Lessons Learned 5555 5.1 The Essence of Conviviality 5 at all. Quite the contrary, he learns well and he is fluent no less than any #12;5 ­ Lessons Learned 100 definition of #12;5 ­ Lessons Learned Digital Technology For Conviviality 101 himself as an incapable person

  3. The Future of Government Lessons Learned from around the World

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    i The Future of Government Lessons Learned from around the World A Discussion Paper Global Agenda and Lessons Learned Singapore: E-Government Strategy United Arab Emirates: An Evolving Holistic Approach of Government: Lessons Learned from around the World, a discussion paper elaborated by the World Economic Forum

  4. Learning, Memory, and Education Lessons for the Classroom

    E-Print Network [OSTI]

    Rose, Michael R.

    Learning, Memory, and Education Lessons for the Classroom Michael A. Yassa, M.A. Ph.D. Candidate memory? How can we optimize individual learning? How do lessons from memory apply to the classroom? Brain individual learning? How do lessons from memory apply to the classroom? Brain-based learning: fact or fiction

  5. LESSONS LEARNED FROM A LANDFILL SLOPE FAILURE INVOLVING

    E-Print Network [OSTI]

    LESSONS LEARNED FROM A LANDFILL SLOPE FAILURE INVOLVING GEOSYTNTHETICS Virginia L. Wilson: Geosynthetics: Lessons Learned from Failures International Geosynthetics Society editors J.P. Giroud, K.L. Soderman and G.P. Raymond November 12, 1998 #12;LESSONS LEARNED FROM A LANDFILL SLOPE FAILURE INVOLVING

  6. Lesson Summary Students will learn about the magnetic fields of

    E-Print Network [OSTI]

    Mojzsis, Stephen J.

    Lesson Summary Students will learn about the magnetic fields of the Sun and Earth. This activity if they have learned them in another context and you can remind them about those lessons in this activity minutes 1. Read and review the lesson plan 2. Gather required materials 3. Form student teams Exploring

  7. Aspects in Agent-Oriented Software Engineering: Lessons Learned

    E-Print Network [OSTI]

    Aspects in Agent-Oriented Software Engineering: Lessons Learned Alessandro Garcia1 , Uirá Kulesza2 of the crosscutting concerns relative to MASs. This paper reports some lessons learned based on our experience lessons learned based on our experience in applying both aspect-oriented techniques and methods

  8. Lessons Learned in Applying Formal Concept Analysis to Reverse Engineering

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Lessons Learned in Applying Formal Concept Analysis to Reverse Engineering Gabriela Ar´evalo, St in "International Conference on Formal Concept Analysis (ICFCA '05) (2005)" #12;Lessons Learned in Applying Formal artifacts. In this paper we describe our approach, outline three case studies, and draw various lessons from

  9. EMERGENCY RESPONSE FOR HOMELAND SECURITY: LESSONS LEARNED AND THE

    E-Print Network [OSTI]

    Wang, Hai

    EMERGENCY RESPONSE FOR HOMELAND SECURITY: LESSONS LEARNED AND THE NEED FOR ANALYSIS Larson, R;Emergency Response for Homeland Security: Lessons Learned and the Need for Analysis By Richard C. Larson. In this section, we are particularly concerned with `lessons learned' and with recurring decisions that must

  10. Lessons Learned in the Challenge: Making Predictions and Scoring Them

    E-Print Network [OSTI]

    Suomela, Jukka

    Lessons Learned in the Challenge: Making Predictions and Scoring Them Jukka Kohonen and Jukka.suomela@cs.helsinki.fi Abstract. In this paper we present lessons learned in the Evaluating Predictive Uncertainty Challenge. We probability score (CRPS). 1 Introduction In this paper we present lessons learned in the Evaluating Predictive

  11. Interactive learning: Lessons from two hybrids over two Stanley Fields

    E-Print Network [OSTI]

    Dunham, Maitreya

    REVIEW Interactive learning: Lessons from two hybrids over two decades Stanley Fields Howard Hughes the lessons of the two-hybrid approach. These include the value of timeliness in a method's development instructive, provid- ing lessons about the nature and nurture of technology development that I have carried

  12. Lessons Learned from Failures Involving Geofoam in Roads and Embankments

    E-Print Network [OSTI]

    Horvath, John S.

    Lessons Learned from Failures Involving Geofoam in Roads and Embankments Manhattan College Research July 1999) #12;Lessons Learned from Failures Involving Geofoam in Roads and Embankments Manhattan College Research Report No. CE/GE-99-1 ii This page intentionally left blank. #12;Lessons Learned from

  13. A survey of results on mobile phone datasets analysis

    E-Print Network [OSTI]

    Blondel, Vincent D; Krings, Gautier

    2015-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Rowland, Danny

    2009-11-18T23:59:59.000Z

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

  15. Lessons learned on the UMTRA Project

    SciTech Connect (OSTI)

    Not Available

    1991-02-01T23:59:59.000Z

    This report has been compiled as part of the Technical Assistance Contractor's (TAC's) continuing efforts to improve the quality of its product to the US Department of Energy (DOE), and to reduce the costswhile maintaining a standard of excellence on the Uranium Mill Tailings Remedial Action (UMTRA) Project. The report documents the lessons learned and the steps taken to benefit the project as a result. This study has multiple objectives, which fall under the following hierarchy: To examine and evaluate past successes and mistakes. To provide a record of lessons learned for the benefit and orientation of future staffmembers. To identify shortcomings of, and desired improvements to, current UMTRA Project practices and procedures. To establish a means for the future review and dissemination of lessons learned.

  16. Lessons Learned In Developing The VACIS Products

    SciTech Connect (OSTI)

    Orphan, Victor J. [Science Applications International Corporation, 7455 W. Washington Avenue, Suite 290, Las Vegas, NV 89428 (United States)

    2011-06-01T23:59:59.000Z

    SAIC's development of VACIS provides useful 'lessons learned' in bridging the gap from an idea to a security or contraband detection product. From a gamma densitometer idea for solving a specific Customs Service (CS) requirement (detection of drugs in near-empty tanker trucks) in mid-1990's, SAIC developed a broad line of vehicle and cargo inspections systems (over 500 systems deployed to date) based on a gamma-ray radiographic imaging technique. This paper analyzes the reasons for the successful development of VACIS and attempts to identify ''lessons learned'' useful for future security and contraband detection product developments.

  17. Lessons learned from early criticality accidents

    SciTech Connect (OSTI)

    Malenfant, R.E.

    1996-06-01T23:59:59.000Z

    Four accidents involving the approach to criticality occurred during the period July, 1945, through May, 1996. These have been described in the format of the OPERATING EXPERIENCE WEEKLY SUMMARY which is distributed by the Office of Nuclear and Facility Safety. Although the lessons learned have been incorporated in standards, codes, and formal procedures during the last fifty years, this is their first presentation in this format. It is particularly appropriate that they be presented in the forum of the Nuclear Criticality Technology Safety Project Workshop closest to the fiftieth anniversary of the last of the four accidents, and that which was most instrumental in demonstrating the need to incorporate lessons learned.

  18. Very Large System Dynamics Models - Lessons Learned

    SciTech Connect (OSTI)

    Jacob J. Jacobson; Leonard Malczynski

    2008-10-01T23:59:59.000Z

    This paper provides lessons learned from developing several large system dynamics (SD) models. System dynamics modeling practice emphasize the need to keep models small so that they are manageable and understandable. This practice is generally reasonable and prudent; however, there are times that large SD models are necessary. This paper outlines two large SD projects that were done at two Department of Energy National Laboratories, the Idaho National Laboratory and Sandia National Laboratories. This paper summarizes the models and then discusses some of the valuable lessons learned during these two modeling efforts.

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

    E-Print Network [OSTI]

    Feigon, Brooke

    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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    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

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

    E-Print Network [OSTI]

    Evans, Steven N.

    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

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

    E-Print Network [OSTI]

    Allan, Richard P.

    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

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

    E-Print Network [OSTI]

    Dong, Guozhu

    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

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

    E-Print Network [OSTI]

    Bohanec, Marko

    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

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

    E-Print Network [OSTI]

    Bierlaire, Michel

    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

  6. 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

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

    E-Print Network [OSTI]

    Feigon, Brooke

    '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

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

    E-Print Network [OSTI]

    Healey, Christopher G.

    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

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

    E-Print Network [OSTI]

    Kratochvíl, Lukas

    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

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

    E-Print Network [OSTI]

    Wolf, Christian

    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

  11. General Renewable Energy-Best Practices and Lessons Learnt | 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 Solar Power Basics (TheEtelligenceGainSpan CorporationInformation Type: Lessons

  12. Lessons learned from existing biomass power plants

    SciTech Connect (OSTI)

    Wiltsee, G.

    2000-02-24T23:59:59.000Z

    This report includes summary information on 20 biomass power plants, which represent some of the leaders in the industry. In each category an effort is made to identify plants that illustrate particular points. The project experiences described capture some important lessons learned that lead in the direction of an improved biomass power industry.

  13. LESSONS LEARNED AND BEST PRACTICES PROGRAM MANUAL

    SciTech Connect (OSTI)

    Gravois, Melanie C.

    2007-05-24T23:59:59.000Z

    This document provides requirements and guidelines for conducting a Lessons Learned and Best Practices Program within Lawrence Berkeley National Laboratory (LBNL) to ensure ongoing improvement of safety and reliability, prevent the recurrence of significant adverse events/trends, and determine implementation strategies that will help LBNL successfully meet the missions and goals set forth by the Department of Energy (DOE).

  14. Lessons Learned Quarterly Report, March 2005

    Broader source: Energy.gov [DOE]

    Welcome to the 42nd quarterly report on lessons learned in the NEPA process. We are pleased to introduce our new Assistant Secretary for Environment, Safety and Health. John Spitaleri Shaw is a strong supporter of good NEPA compliance, as evidenced during our interview with him and in his February 16, 2005, memorandum, both of which are summarized in this issue.

  15. Lessons Learned Quarterly Report, December 1995

    Broader source: Energy.gov [DOE]

    This quarterly report summarizes the lessons learned for documents completed between July 1 and September 30, 1995. It is based primarily on responses to the revised questionnaire that was provided for use during January 1995, and includes information on direct and indirect NEPA process costs and on total project costs.

  16. Lessons Learned Quarterly Report, March 1996

    Broader source: Energy.gov [DOE]

    Welcome to the newly-revised Quarterly Report of Lessons Learned in the NEPA process. In response to reader suggestions, we have expanded the scope of the report to provide a wider variety of NEPArelated information, and enhanced the format for better clarity and overall readability.

  17. Lessons Learned Quarterly Report, June 2000

    Broader source: Energy.gov [DOE]

    Welcome to the 23rd quarterly report on lessons learned in theNEPA process. This issue features highlights from the May 2000 NEPA Compliance Officers Meeting. Also featured is an article on NEPA and the wildfire at Los Alamos. This is an unusually long issue, due simply to the abundance of information to be shared.

  18. Lessons Learned Quarterly Report, December 2006

    Broader source: Energy.gov [DOE]

    Welcome to the 49th quarterly report on lessons learned in the NEPA process. In this issue, we feature the initiation of three signi?cant EISs: the Complex 2030 Supplemental Programmatic EIS, the Supplemental Yucca Mountain Repository EIS, and the expanded Yucca Mountain Rail EIS.

  19. Lessons Learned Quarterly Report, December 2007

    Broader source: Energy.gov [DOE]

    Welcome to the 53rd quarterly report on lessons learned in the NEPA process. Many in the Department’s NEPA Community were called on to give extraordinary time and resources to the preparation of key EISs issued recently and highlighted in this LLQR. We anticipate a busy 2008 as well.

  20. Lessons Learned Quarterly Report, December 2005

    Broader source: Energy.gov [DOE]

    Welcome to the 45th quarterly report on lessons learned in the NEPA process. We thank all those who participated in the NEPA 35 conference. You made it successful. We hope you are as inspired as we are by the spirit of NEPA Section 101and the challenge to improve the implementation of NEPA.

  1. STYLE: Lesson 7 July 25, 2012

    E-Print Network [OSTI]

    California at Davis, University of

    STYLE: Lesson 7 Concision Group B Richard Mengling Uttam Sifat Naima July 25, 2012 #12 and shiny in appearance. >> During that period, the membrane became pink and shiny. In the area of education be aligned in an accurate manner. >> The holes must be aligned accurately. The county manages the educational

  2. Lessons Learned Quarterly Report, March 2008

    Broader source: Energy.gov [DOE]

    Welcome to the 54th quarterly report on lessons learned in the NEPA process. As noted in articles on recently issued DOE EISs (Complex Transformation, Yucca Mountain Repository and Railroad, and Western Energy Corridors), DOE has received and is responding to extensive public comment. This issue also pays tribute to two women who have made extraordinary contributions to NEPA implementation.

  3. Heart Valve Lesson Plan Biomedical Engineering

    E-Print Network [OSTI]

    Provancher, William

    Heart Valve Lesson Plan Biomedical Engineering Objective · Introduce students to biomedical Learning Outcomes · Students will understand the role and function of heart valves. · Students will learn does a heart valve work? · Why do we need to replace heart valves? Time Required (Itemized) · Lecture

  4. Lessons Learned Quarterly Report, September 1997

    Broader source: Energy.gov [DOE]

    Welcome again to the Quarterly Report on lessons learned in the NEPA process. This issue features NEPA success stories from field organizations: how the NEPA process helped resolve cultural resource protection issues at Fernald, and how innovative approaches are aiding preparation of a Site-wide EIS for Sandia, New Mexico.

  5. Lessons Learned Quarterly Report, June 2007

    Broader source: Energy.gov [DOE]

    Welcome to the 51st quarterly report on lessons learned in the NEPA process. This issue features collaboration as a key element of a successful NEPA process. Related articles discuss approaches to and bene?ts of collaboration and illustrate various applications.

  6. Lessons Learned Quarterly Report, September 2004

    Broader source: Energy.gov [DOE]

    Welcome to the 40th quarterly report on lessons learned in the NEPA process. That’s 40 issues! Have you read them all? We are pleased to feature the July 2004 NEPA Community Meeting in this issue, as well as our annual update of the cumulative index to LLQR.

  7. Lessons Learned Quarterly Report, June 2006

    Broader source: Energy.gov [DOE]

    Welcome to the 47th quarterly report on lessons learned in the NEPA process. The quality of our NEPA process affects the quality of DOE’s decisions. Our appreciation goes out to all the NCOs and NEPA Document Managers who work every day to build quality into NEPA documents.

  8. Lessons Learned Quarterly Report, September 2003

    Broader source: Energy.gov [DOE]

    Welcome to the 36th quarterly report on lessons learned in the NEPA process. We are pleased to feature the July 2003 NEPA Community Meeting in this issue. Also, please note that the cumulative index, a useful reference tool, is printed in this issue.

  9. Lessons Learned from the journ to Institutional

    E-Print Network [OSTI]

    Hemmers, Oliver

    Lessons Learned from the journ to Institutional TransformationOctober 2013 University of Las Vegas I'll talk a little about what we've learned through an NSF Institutional Transformation grant- group preferences, more work to communicate, tokenism if learn

  10. Educators' Guide Lessons from the Deep

    E-Print Network [OSTI]

    1 Educators' Guide Lessons from the Deep: Exploring the Gulf of Mexico's Deep-Sea Ecosystems Horizon sunk 36 hours later, and resulted in a massive release of crude oil that is now considered the greatest environmental disaster in U.S. history. The total volume of oil released into the Gulf of Mexico

  11. Demand Response in the West: Lessons for States and Provinces

    SciTech Connect (OSTI)

    Douglas C. Larson; Matt Lowry; Sharon Irwin

    2004-06-29T23:59:59.000Z

    OAK-B135 This paper is submitted in fulfillment of DOE Grant No. DE-FG03-015F22369 on the experience of western states/provinces with demand response (DR) in the electricity sector. Demand-side resources are often overlooked as a viable option for meeting load growth and addressing the challenges posed by the region's aging transmission system. Western states should work together with utilities and grid operators to facilitate the further deployment of DR programs which can provide benefits in the form of decreased grid congestion, improved system reliability, market efficiency, price stabilization, hedging against volatile fuel prices and reduced environmental impacts of energy production. This report describes the various types of DR programs; provides a survey of DR programs currently in place in the West; considers the benefits, drawbacks and barriers to DR; and presents lessons learned and recommendations for states/provinces.

  12. 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]

    DeSante, David F.

    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

  13. 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

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

    SciTech Connect (OSTI)

    Caroline Draxl: NREL

    2014-01-01T23:59:59.000Z

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

  15. A Heliospheric Imager for Deep Space: Lessons Learned from Helios, SMEI, and STEREO

    E-Print Network [OSTI]

    Jackson, B. V.; Buffington, A.; Hick, P. P.; Bisi, M. M.; Clover, J. M.

    2010-01-01T23:59:59.000Z

    Imager for Deep Space: Lessons Learned Jackson, B.V. , Hick,Imager for Deep Space: Lessons Learned from Helios, SMEI,Imager for Deep Space: Lessons Learned (STEREO) spacecraft

  16. Review Article Huygens HASI servo accelerometer: A review and lessons learned

    E-Print Network [OSTI]

    Withers, Paul

    Review Article Huygens HASI servo accelerometer: A review and lessons learned B. Hathi a,Ã?, A. Techniques used for data analysis and lessons learned that may be useful for accelerometry payloads on future . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1323 2.4. Lessons learned

  17. A Framework of Lessons Learned from Community-Based Marine Reserves and Its Effectiveness in

    E-Print Network [OSTI]

    Queensland, University of

    A Framework of Lessons Learned from Community- Based Marine Reserves and Its Effectiveness factors for success. Reviewing relevant literature, we present a framework of "lessons learned" during; Community-based; coral reef conservation; Philippines; Alternative livelihood; Lessons learned Published

  18. Whither India? Ten Lessons Learned from the HIV Epidemic in Africa

    E-Print Network [OSTI]

    Potts, Malcolm; Walsh, Julia

    2002-01-01T23:59:59.000Z

    i31-9 Whither India? Lessons learned from the HIV epidemic139. Whither India? Lessons learned from the HIV epidemic in81. Whither India? Lessons learned from the HIV epidemic in

  19. Cryptography and the Internet: lessons and challenges

    SciTech Connect (OSTI)

    McCurley, K.S.

    1996-12-31T23:59:59.000Z

    The popularization of the Internet has brought fundamental changes to the world, because it allows a universal method of communication between computers. This carries enormous benefits with it, but also raises many security considerations. Cryptography is a fundamental technology used to provide security of computer networks, and there is currently a widespread engineering effort to incorporate cryptography into various aspects of the Internet. The system-level engineering required to provide security services for the Internet carries some important lessons for researchers whose study is focused on narrowly defined problems. It also offers challenges to the cryptographic research community by raising new questions not adequately addressed by the existing body of knowledge. This paper attempts to summarize some of these lessons and challenges for the cryptographic research community.

  20. Using Large Datasets to Forecast Sectoral Employment Rangan Gupta*

    E-Print Network [OSTI]

    Ahmad, Sajjad

    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

  1. A Polygon-based Methodology for Mining Related Spatial Datasets

    E-Print Network [OSTI]

    Eick, Christoph F.

    , 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

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

    E-Print Network [OSTI]

    Müller, Dietmar

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

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

    E-Print Network [OSTI]

    Simpson, Colin

    2014-08-26T23:59:59.000Z

    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...

  4. 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

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

    SciTech Connect (OSTI)

    Hummon, M.

    2014-04-01T23:59:59.000Z

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

  6. Lessons Learned Quarterly Report, September 2005

    Broader source: Energy.gov [DOE]

    Welcome to the 44th quarterly report on lessons learned in the NEPA process. This issue completes our 11th year publishing LLQR, and as we go to press, we’re preparing to mark an even more impressive milestone – our observance of the 35th anniversary of NEPA. We’re busily working on all the details that will make this a great conference. We hope to see YOU there.

  7. Lessons Learned Quarterly Report, September 1995

    Broader source: Energy.gov [DOE]

    This quarterly report summarizes the lessons learned for documents completed between April 1 and June 30, 1995. It is based primarily on responses to the revised questionnaire that was provided for use during January 1995, and includes information on direct and indirect NEPA process costs and on total project costs. The report includes a Question and Answer section as well as guidance on selected topics.

  8. Lessons Learned Quarterly Report, September 2006

    Broader source: Energy.gov [DOE]

    Welcome to the 48th quarterly report on lessons learned in the NEPA process. We remember Lynton Caldwell, who promoted a vision of productive harmony – a balance of the interests of the environment and human society. The NEPA process remains a useful tool for pursuing that vision by integrating environmental analysis into the decisionmaking process. With this issue, we have completed 12 years of LLQR.

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

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    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

  10. BPA invests in science education programs that transform lessons...

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

    invests-in-science-education-programs-that-transform-lessons-into-real-world-actions Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us...

  11. aging lessons learned: Topics by E-print Network

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

    studies National Forest, USDAForestService,1600Tollhouse Road, Clovis, CA 93611. 3 Timber Management Officer Standiford, Richard B. 2 Project Learning What are the "Lessons...

  12. DOE EM Project Experience & Lessons Learned for In Situ Decommissionin...

    Office of Environmental Management (EM)

    "DOE EM Project Experience & Lessons Learned for In Situ Decommissioning" report is to capture the considerable technical experience gained to date for implementation of In Situ...

  13. Implementing US Department of Energy lessons learned programs. Volume 1

    SciTech Connect (OSTI)

    NONE

    1995-08-01T23:59:59.000Z

    Purpose of this handbook is provide DOE and DOE contractor organizations with information that can be used to modify existing lessons learned programs or to develop new programs.

  14. Policy Impacts on Deforestation: Lessons Learned from Past Experiences...

    Open Energy Info (EERE)

    to Inform New Initiatives Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Policy Impacts on Deforestation: Lessons Learned from Past Experiences to Inform New...

  15. Lessons Learned Quarterly Report Archive | Department of Energy

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

    on-the-scene reporter Carolyn Osborne. There are also several articles related to global climate change and NEPA. March 3, 2008 Lessons Learned Quarterly Report, March 2008...

  16. Lesson Learned by Environmental Management Complex-wide Activity...

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

    Environmental Management Complex-wide Activity-level Work Planning and Control Lesson Learned by Environmental Management Complex-wide Activity-level Work Planning and Control...

  17. assessment lessons learned: Topics by E-print Network

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

    lukas CHP Small Wind Photovoltaics Energy Efficiency Smart Demand Heat Pumps Networks Micro-CHP Energy Oak Ridge National Laboratory 54 WorkplaceAdapted Behaviors: Lessons Learned...

  18. application lessons learned: Topics by E-print Network

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

    lukas CHP Small Wind Photovoltaics Energy Efficiency Smart Demand Heat Pumps Networks Micro-CHP Energy Oak Ridge National Laboratory 54 WorkplaceAdapted Behaviors: Lessons Learned...

  19. applying lessons learned: Topics by E-print Network

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

    lukas CHP Small Wind Photovoltaics Energy Efficiency Smart Demand Heat Pumps Networks Micro-CHP Energy Oak Ridge National Laboratory 50 WorkplaceAdapted Behaviors: Lessons Learned...

  20. Lessons Learned from Net Zero Energy Assessments and Renewable...

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

    Lessons Learned from Net Zero Energy Assessments and Renewable Energy Projects at Military Installations Michael Callahan, Kate Anderson, Sam Booth, Jessica Katz, and Tim Tetreault...

  1. Lessons Learned: Devolping Thermochemical Cycles for Solar Heat...

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

    Heat Storage Applications Lessons Learned: Devolping Thermochemical Cycles for Solar Heat Storage Applications This presentation summarizes the introduction given by Bunsen...

  2. Lessons Learned at the Nevada National Security Site Implementing...

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

    & Publications Lessons Learned Implementing Work Planning & Control Integration of Safety Culture Attributes into EFCOG Work Planning and Control Guidance Document EFCOG...

  3. Contractor Work Planning and Control URS Lessons Learned | Department...

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

    Office of Environmental Management Work Planning and Control Oversight Integration of Safety Culture Attributes into EFCOG Work Planning and Control Guidance Document Lessons...

  4. EM SSAB ITR Landfill Assessment Project Lessons Learned Presentation...

    Office of Environmental Management (EM)

    PGDP by DOE personnel is recommended. * DOE should develop lessons learned documents on scheduling, stakeholder interactions, etc. 20 Savannah River Site 21 Disposal operations...

  5. Lessons Learned from Cyber Security Assessments of SCADA and...

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

    of Energy Office of Electricity Delivery and Energy Reliability Enhancing control systems security in the energy sector NSTB September 2006 LESSONS LEARNED FROM CYBER SECURITY...

  6. Panel 1, Hawaii Hydrogen Projects Status & Lessons Learned

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

    Status & Lessons Learned Mitch Ewan Hydrogen Systems Program Manager Hawaii Natural Energy Institute School of Ocean Earth Science and Technology University of Hawaii at...

  7. CCAP-REDD+ Design in Cambodia, Indonesia, and Mexico: Lessons...

    Open Energy Info (EERE)

    Cambodia, Indonesia, and Mexico: Lessons to Inform International REDD+ Policy Development Jump to: navigation, search Tool Summary LAUNCH TOOL Name: CCAP-REDD+ Design in Cambodia,...

  8. Microsoft Word - 08-02-06 Security Lessons Learned TEC Security...

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

    , Final 1 DOE Spent Nuclear Fuel Transportation: Lessons Learned from Security Planning and Execution OCRWM has reviewed lessons learned from past high visibility Spent Nuclear...

  9. E-Print Network 3.0 - areas lessons learned Sample Search Results

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

    search results for: areas lessons learned Page: << < 1 2 3 4 5 > >> 1 Observing Mathematics and Science Lessons in Michigan Classrooms Summary: and mathematics teaching and...

  10. The Productive Efficiency of Ports: Lessons from the Pacific Rim Seaport’s

    E-Print Network [OSTI]

    SangHyun Cheon

    2007-01-01T23:59:59.000Z

    The Productive Efficiency of Ports: Lessons from the PacificThe Productive Efficiency of Ports: Lessons from the Pacificwhether and how global port reform efforts since the early

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

    E-Print Network [OSTI]

    Kroll, Jesse

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

  12. Musculoskeletal simulation model generation from MRI datasets and motion capture data

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

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

    E-Print Network [OSTI]

    2010-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Martin, Katherine J.

    2008-01-01T23:59:59.000Z

    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

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

    E-Print Network [OSTI]

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

    2002-01-01T23:59:59.000Z

    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

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

    E-Print Network [OSTI]

    Healey, Christopher G.

    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

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

    E-Print Network [OSTI]

    Ellis, Dan

    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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    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

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

    E-Print Network [OSTI]

    Vetterli, Martin

    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

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

    E-Print Network [OSTI]

    Tibshirani, Robeert

    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

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

    E-Print Network [OSTI]

    Pineau, Joelle

    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

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

    E-Print Network [OSTI]

    Fowler, James E.

    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

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

    E-Print Network [OSTI]

    Groppi, Christopher

    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

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

    E-Print Network [OSTI]

    Hall, Sharon J.

    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

  5. 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

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

    E-Print Network [OSTI]

    Butenko, Sergiy

    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

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

    E-Print Network [OSTI]

    Liu, Ling

    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

  8. Bootstrapping for Significance of Compact Clusters in Multi-dimensional Datasets

    E-Print Network [OSTI]

    Maitra, Ranjan

    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

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

    E-Print Network [OSTI]

    Reiter, Jerome P.

    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

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

    E-Print Network [OSTI]

    Tibshirani, Robeert

    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

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

    E-Print Network [OSTI]

    California at Santa Barbara, University of

    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

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

    E-Print Network [OSTI]

    Pallickara, Sangmi

    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

  13. 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

  14. 1/28/2014 CFCAM Workshop 2014 1 How to generate ^ PAW Atomic Datasets*

    E-Print Network [OSTI]

    Holzwarth, Natalie

    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

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

    E-Print Network [OSTI]

    Laske, Gabi

    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

  16. 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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    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

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

    E-Print Network [OSTI]

    Roy Chowdhury, Rinku

    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

  19. Using metadata to improve spatial dataset quality during updates Christelle Pierkot

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    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

  20. IMPLEMENTING MARINE PROTECTED AREAS POLICY: LESSONS FROM CANADA AND

    E-Print Network [OSTI]

    i IMPLEMENTING MARINE PROTECTED AREAS POLICY: LESSONS FROM CANADA AND AUSTRALIA by Jodi Stark B: Implementing Marine Protected Areas Policy: Lessons From Canada And Australia Report No. 369 Examining Management Simon Fraser University Date Approved: #12;iii Abstract Canada's Oceans Act and Australia's Oceans

  1. November 21, 2000 PV Lesson Plan 1 Solar Cells

    E-Print Network [OSTI]

    Oregon, University of

    November 21, 2000 PV Lesson Plan 1 ­ Solar Cells Prepared for the Oregon Million Solar Roofs Coalition By Frank Vignola ­ University of Oregon Solar Radiation Monitoring Lab John Hocken ­ South Eugene High School Gary Grace ­ South Eugene High School In Schools #12;1 Solar Cells Lesson Plan Content

  2. Sun Watching Lesson 4: Making a Sun Clock

    E-Print Network [OSTI]

    Maxwell, Bruce D.

    29 Sun Watching Lesson 4: Making a Sun Clock Lesson 4: Making a Sun Clock A major factor contributing toward our concept of time is based on the apparent motion of the Sun. In this activity, students will construct Pocket Sun Clocks. They are challenged to determine the correct orientation needed for the Sun

  3. HEART SMART NUTRITION Mailout or E-mail Lesson Series

    E-Print Network [OSTI]

    HEART SMART NUTRITION Mailout or E-mail Lesson Series MEMORANDUM TO : County Extension Agents Fellow, Professor and Extension Nutrition Specialist SUBJECT: Lesson Series Heart Smart Nutrition Heart. A county-wide Heart Smart seminar would also be another opportunity to sign up participants for the series

  4. CSEM WP 110R Lessons from the California Electricity Crisis

    E-Print Network [OSTI]

    California at Berkeley. University of

    CSEM WP 110R Lessons from the California Electricity Crisis Frank A. Wolak Revised May 2003.ucei.org #12;Lessons from the California Electricity Crisis by Frank A. Wolak Department of Economics Stanford be learned about electricity market design and regulating energy markets from the California

  5. Robust Machine Learning Applied to Terascale Astronomical Datasets

    E-Print Network [OSTI]

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

    2007-10-24T23:59:59.000Z

    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.

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

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

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

  7. Parton distributions based on a maximally consistent dataset

    E-Print Network [OSTI]

    Juan Rojo

    2014-09-10T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

    2013-01-01T23:59:59.000Z

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

  9. LESSONS LEARNED FROM A RECENT LASER ACCIDENT

    SciTech Connect (OSTI)

    Woods, Michael; /SLAC

    2011-01-26T23:59:59.000Z

    A graduate student received a laser eye injury from a femtosecond Ti:sapphire laser beam while adjusting a polarizing beam splitter optic. The direct causes for the accident included failure to follow safe alignment practices and failure to wear the required laser eyewear protection. Underlying root causes included inadequate on-the-job training and supervision, inadequate adherence to requirements, and inadequate appreciation for dimly visible beams outside the range of 400-700nm. This paper describes how the accident occurred, discusses causes and lessons learned, and describes corrective actions being taken.

  10. Lessons Learned in Islands | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie09091WorkLessons

  11. Lessons Learned from the QA Summit

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-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) "of Energy Power.pdf11-161-LNG | DepartmentEnergy InvitationLegal and Regulatory LegalLessonsTable 1

  12. Learning Defect Predictors:Lessons from the Trenches Learning Defect Predictors

    E-Print Network [OSTI]

    Menzies, Tim

    Learning Defect Predictors:Lessons from the Trenches Learning Defect Predictors: Lessons from the Trenches Tim Menzies LCSEE, WVU tim@menzies.us October 28, 2008 1 / 40 #12;Learning Defect Predictors:Lessons change the rules of the game. 2 / 40 #12;Learning Defect Predictors:Lessons from the Trenches

  13. SWIM LESSONS Whether you want to learn how to swim, get some exercise or just

    E-Print Network [OSTI]

    Beex, A. A. "Louis"

    SWIM LESSONS Whether you want to learn how to swim, get some exercise or just have fun, you Learn To Swim program. There are always American Red Cross certified lifeguards on duty during lessons;SWIM LESSONS open house FREE SWIM LESSONS! Saturday, September 28th 11am - Noon, McComas Hall Learn

  14. Lessons & Examples for Establishing Partnerships Between Grantees & Financial Institutions (Text Version)

    Broader source: Energy.gov [DOE]

    Transcript of the webinar, "Lessons & Examples for Establishing Partnerships Between Grantees & Financial Institutions."

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

    E-Print Network [OSTI]

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

    2010-01-01T23:59:59.000Z

    cells: lessons from the tyrosinase gene family. Histolregulators, such as tyrosinase, the rate- limiting enzyme inproduction is compared to tyrosinase siRNA to control for

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

    E-Print Network [OSTI]

    S. Nesseris; L. Perivolaropoulos

    2005-12-02T23:59:59.000Z

    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 $(\\Omega_{0m},\\Omega_\\Lambda)$.

  17. Influence of Contextual Elements on Comprehensive Evaluations of Multi-Level Interventions: Lessons Learned and Promising Practices from Cases in Tobacco Control and Childhood Obesity

    E-Print Network [OSTI]

    Huddleston, Jenica

    2010-01-01T23:59:59.000Z

    Level Interventions: Lessons Learned and Promising PracticesLevel Interventions: Lessons Learned and Promising PracticesLevel Interventions: Lessons Learned and Promising Practices

  18. Assessing the Feasibility of Creek Daylighting in San Francisco, Part I: A Synthesis of Lessons Learned from Existing Urban Daylighting Projects

    E-Print Network [OSTI]

    Smith, Brooke Ray

    2007-01-01T23:59:59.000Z

    Part I: A Synthesis of Lessons Learned from Existing Urbaneffective? and 4) what lessons learned can apply to a Sanmonitoring, and lessons learned). Results: Case Study

  19. Methodologic and logistic issues in conducting longitudinal birth cohort studies: lessons learned from the Centers for Children's Environmental Health and Disease Prevention Research.

    E-Print Network [OSTI]

    2005-01-01T23:59:59.000Z

    Birth Cohort Studies: Lessons Learned from the Centers forassessment in children: lessons learned from the Centers fors Centers et al. 2005. Lessons learned for the study of

  20. University Reactor Conversion Lessons Learned Workshop for Purdue University Reactor

    SciTech Connect (OSTI)

    Eric C. Woolstenhulme; Dana M. Hewit

    2008-09-01T23:59:59.000Z

    The Department of Energy’s Idaho National Laboratory, under its programmatic responsibility for managing the University Research Reactor Conversions, has completed the conversion of the reactor at Purdue University Reactor. With this work completed and in anticipation of other impending conversion projects, the INL convened and engaged the project participants in a structured discussion to capture the lessons learned. The lessons learned process has allowed us to capture gaps, opportunities, and good practices, drawing from the project team’s experiences. These lessons will be used to raise the standard of excellence, effectiveness, and efficiency in all future conversion projects.

  1. Lessons Learned in Decommissioning of NPP A-1 After Accident

    SciTech Connect (OSTI)

    Prazska, M.; Rezbarik, J.; Majersky, D.; Sekely, S.; Solcanyi, S.

    2002-02-25T23:59:59.000Z

    Decommissioning of the NPP A-1 in Jaslovske Bohunice is encountered with great variation of the problems connected primarily with the high radiation fields and the high activity of the contaminated materials. Decontamination of the contaminated objects and the thorough radiological protection of decontamination workers are therefore the tasks of top priority. The successful realization of these jobs is based on the experience, good working practice and the utilization of all proven methods together with the newly developed ones. Since 1996, AllDeco Ltd. has applied the decontamination methods and processes in a wide scale in the decommissioning and dismantling of the NPP A-1 in the cooperation with SE-VYZ Inc. The monitoring of the radiation situation and the investigation of the type and character of the radioactive waste were first steps in the decontamination of all objects. For this works, remote controlled mechanical manipulators and remote controlled electrical carriage equipped with instruments recording the levels of dose rates and with telemetric data transmission system were used. The recorded data were used for the modeling and 3D visualization of the radiation fields and for following planning and preparation of the decontamination projects or ''working programs'' based on the ALARA principle. The minimization of the radioactive waste was also taken into consideration. A lot of time and energy was spent on the preparation and training of the staff including non-active trials of planned procedures. The gained experience was evaluated and lessons learned were given in the final reports.

  2. Lessons Learned IKEA Furniture Store Hybrid GSHP System Lessons Learned IKEA Furniture Store

    E-Print Network [OSTI]

    Tons 250.6 338.1 Reality Check, btuh/sq. ft.: 7.5 10.1 peak peak Annual Equivalent Full Load Hours: 2256.3 2105.3 Annual load profile One of several load models generated 8 #12;Lessons Learned ­ IKEA January 109420 840 1615891 4016 0.18 0.54 Monthly Load Factor February 98670 707 1624532 4023 0.21 0

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

    E-Print Network [OSTI]

    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

    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.

  4. Constructing Collaborative Desktop Storage Caches for Large Scientific Datasets

    SciTech Connect (OSTI)

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

    2006-08-01T23:59:59.000Z

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

  5. 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

  6. 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

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

    E-Print Network [OSTI]

    Bass, Brenda L.

    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

  8. Modeling High-Impact Weather and Climate: Lessons From a Tropical Cyclone Perspective

    SciTech Connect (OSTI)

    Done, James; Holland, Greg; Bruyere, Cindy; Leung, Lai-Yung R.; Suzuki-Parker, Asuka

    2013-10-19T23:59:59.000Z

    Although the societal impact of a weather event increases with the rarity of the event, our current ability to assess extreme events and their impacts is limited by not only rarity but also by current model fidelity and a lack of understanding of the underlying physical processes. This challenge is driving fresh approaches to assess high-impact weather and climate. Recent lessons learned in modeling high-impact weather and climate are presented using the case of tropical cyclones as an illustrative example. Through examples using the Nested Regional Climate Model to dynamically downscale large-scale climate data the need to treat bias in the driving data is illustrated. Domain size, location, and resolution are also shown to be critical and should be guided by the need to: include relevant regional climate physical processes; resolve key impact parameters; and to accurately simulate the response to changes in external forcing. The notion of sufficient model resolution is introduced together with the added value in combining dynamical and statistical assessments to fill out the parent distribution of high-impact parameters. Finally, through the example of a tropical cyclone damage index, direct impact assessments are resented as powerful tools that distill complex datasets into concise statements on likely impact, and as highly effective communication devices.

  9. Sellafield Decommissioning Programme - Update and Lessons Learned

    SciTech Connect (OSTI)

    Lutwyche, P. R.; Challinor, S. F.

    2003-02-24T23:59:59.000Z

    The Sellafield site in North West England has over 240 active facilities covering the full nuclear cycle from fuel manufacture through generation, reprocessing and waste treatment. The Sellafield decommissioning programme was formally initiated in the mid 1980s though several plants had been decommissioned prior to this primarily to create space for other plants. Since the initiation of the programme 7 plants have been completely decommissioned, significant progress has been made in a further 16 and a total of 56 major project phases have been completed. This programme update will explain the decommissioning arrangements and strategies and illustrate the progress made on a number of the plants including the Windscale Pile Chimneys, the first reprocessing plan and plutonium plants. These present a range of different challenges and requiring approaches from fully hands on to fully remote. Some of the key lessons learned will be highlighted.

  10. J. Neville and D. Jensen (2002). Supporting relational knowledge discovery: Lessons in architecture and algorithm design. Papers of the ICML 2002 Workshop on Data Mining Lessons Learned.

    E-Print Network [OSTI]

    Neville, Jennifer

    and algorithm design. Papers of the ICML 2002 Workshop on Data Mining Lessons Learned. Supporting Relational of the lessons we have learned developing a relational knowledge discovery system. The relationships among dataJ. Neville and D. Jensen (2002). Supporting relational knowledge discovery: Lessons in architecture

  11. ISO 50001- Case Studies and Lessons Learned so Far

    E-Print Network [OSTI]

    Tutterow, V.

    2014-01-01T23:59:59.000Z

    the certification process, the author will examine the motivations for pursuing ISO 50001, lessons learned, and a comparison of costs and benefits. Discussion will consider how adoption of the standard fits with corporate energy management policies and goals...

  12. Considerations for implementing an organizational lessons learned process.

    SciTech Connect (OSTI)

    Fosshage, Erik

    2013-05-01T23:59:59.000Z

    This report examines the lessons learned process by a review of the literature in a variety of disciplines, and is intended as a guidepost for organizations that are considering the implementation of their own closed-loop learning process. Lessons learned definitions are provided within the broader context of knowledge management and the framework of a learning organization. Shortcomings of existing practices are summarized in an attempt to identify common pitfalls that can be avoided by organizations with fledgling experiences of their own. Lessons learned are then examined through a dual construct of both process and mechanism, with emphasis on integrating into organizational processes and promoting lesson reuse through data attributes that contribute toward changed behaviors. The report concludes with recommended steps for follow-on efforts.

  13. Lessons Learned and Best Practices in Savannah River Site Saltstone...

    Office of Environmental Management (EM)

    Vegas, NV December 12, 2014 To view all the P&RA CoP 2014 Technical Exchange Meeting videos click here. Video Presentation Lessons Learned and Best Practices in Savannah River...

  14. iCons, 2011 Alzheimers and Aluminum: Lesson Plan

    E-Print Network [OSTI]

    Auerbach, Scott M.

    © iCons, 2011 Alzheimers and Aluminum: Lesson Plan Handouts to explore mechanistic link between Alzheimer's and aluminum 5. Brief proposal expanding Points to Aluminum's Link With Alzheimer's Disease" from 1989. Provide handout

  15. Math 13900 Pyramid Project After Lesson 32 Name: Class time ...

    E-Print Network [OSTI]

    User

    2014-08-19T23:59:59.000Z

    Pyramid Project. After Lesson 32. 2014 ... Use the information you have and what you have learned in Math 13900 to find the volume. Do not use a formula from ...

  16. The Solar Classroom Lesson Plan | Department of Energy

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

    3, 2013 - 11:24am Addthis Take inspiration from these fourth graders and launch your own solar energy project using our Solar Classroom Lesson Plan resources. Erin R. Pierce Erin...

  17. 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.

  18. New Orleans Education Reform: A Guide for Cities or a Warning for Communities? (Grassroots Lessons Learned, 2005-2012)

    E-Print Network [OSTI]

    Buras, Kristen L.; Urban South Grassroots Research Collective, Members

    2013-01-01T23:59:59.000Z

    guide for cities (Lessons learned, 2004-2010). New Orleans,Communities? (Grassroots Lessons Learned, 2005-2012) KristenA Guide for Cities (Lessons Learned, 2004-2010), a report

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

    E-Print Network [OSTI]

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

    2010-01-01T23:59:59.000Z

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

  20. Non-local gravity and comparison with observational datasets

    E-Print Network [OSTI]

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

    2014-11-27T23:59:59.000Z

    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.

  1. 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

  2. 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.

  3. 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.

  4. 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.

  5. 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

  6. Lessons learned from applying VIM to fast reactor critical experiments

    SciTech Connect (OSTI)

    Schaefer, R.W.; McKnight, R.D.; Collins, P.J.

    1995-05-17T23:59:59.000Z

    VIM is a continuous energy Monte Carlo code first developed around 1970 for the analysis of plate-type, fast-neutron, zero-power critical assemblies. In most respects, VIM is functionally equivalent to the MCNP code but it has two features that make uniquely suited to the analysis of fast reactor critical experiments: (1) the plate lattice geometry option, which allows efficient description of and neutron tracking in the assembly geometry, and (2) a statistical treatment of neutron cross section data in the unresolved resonance range. Since its inception, VIM`s capabilities have expanded to include numerous features, such as thermal neutron cross sections, photon cross sections, and combinatorial and other geometry options, that have allowed its use in a wide range of neutral-particle transport problems. The earliest validation work at Argonne National Laboratory (ANL) focused on the validation of VIM itself. This work showed that, in order for VIM to be a ``rigorous`` tool, extreme detail in the pointwise Monte Carlo libraries was needed, and the required detail was added. The emphasis soon shifted to validating models, methods, data and codes against VIM. Most of this work was done in the context of analyzing critical experiments in zero power reactor (ZPR) assemblies. The purpose of this paper is to present some of the lessons learned from using VIM in ZPR analysis work. This involves such areas as uncovering problems in deterministic methods and models, pitfalls in using Monte Carlo codes, and improving predictions. The numerical illustrations included here were taken from the extensive documentation cited as references.

  7. Lessons Learned in Risk Management on NCSX

    SciTech Connect (OSTI)

    G.H. Neilson, C.O. Gruber, J.H. Harris, D.J. Rej, R.T. Simmons, and R.L. Strykowsky

    2009-02-11T23:59:59.000Z

    The National Compact Stellarator Experiment (NCSX) was designed to test physics principles of an innovative stellarator design developed by the Princeton Plasma Physics Laboratory and Oak Ridge National Laboratory. Construction of some of the major components and sub-assemblies was completed, but the estimated cost and schedule for completing the project grew as the technical requirements and risks became better understood, leading to its cancellation in 2008. The project's risks stemmed from its technical challenges, primarily the complex component geometries and tight tolerances that were required. The initial baseline, established in 2004, was supported by a risk management plan and risk-based contingencies, both of which proved to be inadequate. Technical successes were achieved in the construction of challenging components and subassemblies, but cost and schedule growth was experienced. As part of an effort to improve project performance, a new risk management program was devised and implemented in 2007-08. It led to a better understanding of project risks, a sounder basis for contingency estimates, and improved management tools. Although the risks ultimately were unacceptable to the sponsor, valuable lessons in risk management were learned through the experiences with the NCSX project.

  8. Lessons Learned in Risk Management on NCSX

    SciTech Connect (OSTI)

    G.H. Neilson, C.O. Gruber, J.H. Harris, D.J. Rej, R.T. Simmons, and R.L. Strykowsky

    2009-07-21T23:59:59.000Z

    The National Compact Stellarator Experiment (NCSX) was designed to test physics principles of an innovative stellarator design developed by the Princeton Plasma Physics Laboratory and Oak Ridge National Laboratory. Construction of some of the major components and sub-assemblies was completed, but the estimated cost and schedule for completing the project grew as the technical requirements and risks became better understood, leading to its cancellation in 2008. The project's risks stemmed from its technical challenges, primarily the complex component geometries and tight tolerances that were required. The initial baseline, established in 2004, was supported by a risk management plan and risk-based contingencies, both of which proved to be inadequate. Technical successes were achieved in the construction of challenging components and subassemblies, but cost and schedule growth was experienced. As part of an effort to improve project performance, a new risk management program was devised and implemented in 2007-08. It led to a better understanding of project risks, a sounder basis for contingency estimates, and improved management tools. Although the risks ultimately were unacceptable to the sponsor, valuable lessons in risk management were learned through the experiences with the NCSX project.

  9. CEBAF Upgrade: Cryomodule Performance And Lessons Learned

    SciTech Connect (OSTI)

    Drury, Michael A.; Davis, G. Kirk; Hogan, John P.; Hovater, J. Curt; King, Lawrence; Marhauser, Frank; Park, HyeKyoung; Preble, Joe; Reece, Charles E.; Rimmer, Robert A.; Wang, Haipeng; Wiseman, Mark A.

    2014-02-01T23:59:59.000Z

    The Thomas Jefferson National Accelerator Facility is currently engaged in the 12 GeV Upgrade Project. The goal of the 12 GeV Upgrade is a doubling of the available beam energy of the Continuous Electron Beam Accelerator Facility (CEBAF) from 6 GeV to 12 GeV. This increase in beam energy will be due in large part to the addition of ten C100 cryomodules plus associated new RF in the CEBAF linacs. The C100 cryomodules are designed to deliver 100 MeV per installed cryomodule. Each C100 cryomodule is built around a string of eight seven-cell, electro-polished, superconducting RF cavities. While an average performance of 100MV per cryomodule is needed to achieve the overall 12 GeV beam energy goal, the actual performance goal for the cryomodules is an average energy gain of 108 MV to provide operational headroom. Cryomodule production started in December 2010. All ten of the C100 cryomodules are installed in the linac tunnels and are on schedule to complete commissioning by September 2013. Performance during Commissioning has ranged from 104 MV to 118 MV. In May, 2012 a test of an early C100 achieved 108 MV with full beam loading. This paper will discuss the performance of the C100 cryomodules along with operational challenges and lessons learned for future designs.

  10. Fund-Raising Realities Former Pitt employee Carolyn Green shares 5 lessons she learned

    E-Print Network [OSTI]

    Benos, Panayiotis "Takis"

    1 Fund-Raising Realities Former Pitt employee Carolyn Green shares 5 lessons she learned in trying. Here are five lessons that Green learned along the way to fund-raising success: 1. Expect to invest

  11. Refueling Infrastructure for Alternative Fuel Vehicles: Lessons Learned for Hydrogen; Workshop Proceedings

    SciTech Connect (OSTI)

    Melaina, M. W.; McQueen, S.; Brinch, J.

    2008-07-01T23:59:59.000Z

    DOE sponsored the Refueling Infrastructure for Alternative Fuel Vehicles: Lessons Learned for Hydrogen workshop to understand how lessons from past experiences can inform future efforts to commercialize hydrogen vehicles. This report contains the proceedings from the workshop.

  12. Critical Issues for Success in the International Markets for Wood Products: Lessons Learned from Bolivia

    E-Print Network [OSTI]

    Critical Issues for Success in the International Markets for Wood Products: Lessons Learned from, where forest certification may provide an advantage. 4. Learned Lessons from the Bolivian Case 4

  13. E-Print Network 3.0 - air pollution lessons Sample Search Results

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

    lessons Search Powered by Explorit Topic List Advanced Search Sample search results for: air pollution lessons Page: << < 1 2 3 4 5 > >> 1 Global Ozone Project Ozone Formation in...

  14. Data Mining for Selective Visualization of Large Spatial Datasets Shashi Shekhar

    E-Print Network [OSTI]

    Shekhar, Shashi

    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

  15. A summary of lessons learned at the Shippingport Station Decommissioning Project (SSDP)

    SciTech Connect (OSTI)

    Crimi, F.P.; Mullee, G.R.

    1987-10-01T23:59:59.000Z

    This paper describes the lessons learned from a management perspective during decommissioning. The lessons learned are presented in a chronological sequence during the life of the project up to the present time. The careful analysis of the lessons learned and the implementation of corresponding actions have contributed toward improving the effectiveness of decommissioning as time progresses. The lessons learned should be helpful in planning future decommissioning projects.

  16. November 21, 2000 PV Lesson Plan 3 PV Array Generating Electricity

    E-Print Network [OSTI]

    Oregon, University of

    November 21, 2000 PV Lesson Plan 3 ­ PV Array Generating Electricity Prepared for the Oregon in Arrays: Solar Cells Generating Electricity Lesson Plan Content: In this lesson, students will learn about electricity. Objectives: Students will learn to use a tool called PV WATTS to calculate the output of PV

  17. Common Core State English Language Arts Standards Lesson 1: What I Know About the Aurora

    E-Print Network [OSTI]

    Mojzsis, Stephen J.

    Common Core State English Language Arts Standards 2012-2013 Lesson 1: What I Know About the Aurora, speaking clearly at an understandable pace. Lesson 3: Aurora Comparisons Reading: Information Text RI.3 clearly. Lesson 4: Come See an Aurora Writing W.3.2, W.4.2, W.5.2. Write informative/explanatory texts

  18. JOURNAL OF CELLULAR PHYSIOLOGY 209:604610 (2006) Mornings With Art, Lessons Learned

    E-Print Network [OSTI]

    Gao, Jinming

    JOURNAL OF CELLULAR PHYSIOLOGY 209:604­610 (2006) Mornings With Art, Lessons Learned: Feedback of no return'' is achieved; (ii) feedback regulation; and (iii) redundancy. Lessons learned from the molecular cycle checkpoint responses after exposure to alkylating agents. We have learned these lessons and now

  19. Lessons Learned During the Development of the CapoOne Deterministic

    E-Print Network [OSTI]

    Torrellas, Josep

    Lessons Learned During the Development of the CapoOne Deterministic Multiprocessor Replay System, Wonsun Ahn, Samuel T. King and Josep Torrellas #12;Pablo Montesinos Lessons Learned during the CapoOne Development Motivation: Time Travel 2 #12;Pablo Montesinos Lessons Learned during the CapoOne Development

  20. Climbing to Understanding: Lessons from an Experimental Learning Environment for Adjudicated

    E-Print Network [OSTI]

    Climbing to Understanding: Lessons from an Experimental Learning Environment for Adjudicated Youth applicable to severely at-risk students, but also offers certain lessons about learning environments within the model as applied in the setting, and the lessons learned. Background The Maine Youth center

  1. Ecological Engineering 25 (2005) 153167 Lessons learned: An assessment of the effectiveness of a National

    E-Print Network [OSTI]

    Ecological Engineering 25 (2005) 153­167 Lessons learned: An assessment of the effectiveness lessons learned about the function of a national review Committee (National Technical Review Committee of the Mississippi Delta). Lessons learned are based on responses to five questions to the NTRC. What was the best

  2. Mary Whitton_SIGGRAPH09 1 Lessons Learned from Ten Years of Studies of Virtual Environments

    E-Print Network [OSTI]

    North Carolina at Chapel Hill, University of

    Mary Whitton_SIGGRAPH09 1 Lessons Learned from Ten Years of Studies of Virtual Environments User lessons the Effective Virtual Environments (EVE) research team learned while doing a dozen or more studies and lessons learned by another, cross-disciplinary team in the Distributed nanoManipulator project

  3. Lessons Learned on 50,000 acres of Plantation in Northern California1

    E-Print Network [OSTI]

    Standiford, Richard B.

    Lessons Learned on 50,000 acres of Plantation in Northern California1 Jeff Webster and Ed Fredrickson2 Abstract Many lessons have been learned during reforestation of large wildfires and clearcuts), and Finley Fire (1990). The lessons learned from these fires were aggressively applied to the Fountain Fire

  4. Version 6.1.3 Operations Lessons Learned From the October/November 2003

    E-Print Network [OSTI]

    Schrijver, Karel

    Version 6.1.3 Operations Lessons Learned From the October/November 2003 Solar Storms Code 444/ 301 of these things make up our magnetosphere. #12;Version 6.1.3 Operations Lessons Learned From the October ......................................................................... 14 Lessons Learned, Operations Recommendations and Options.................. 14 Crosscutting

  5. Evaluation of Software Visualization Tools: Lessons Learned Mariam Sensalire and Patrick Ogao Alexandru Telea

    E-Print Network [OSTI]

    Telea, Alexandru C.

    Evaluation of Software Visualization Tools: Lessons Learned Mariam Sensalire and Patrick Ogao future evaluators. This paper presents the lessons learned from evaluating over 20 SoftVis tools learned is shown with the hope that these lessons will be of some assistance to future SoftVis tool

  6. Lessons Learned from a Successful Implementation of Formal Methods in an

    E-Print Network [OSTI]

    Lawford, Mark

    Lessons Learned from a Successful Implementation of Formal Methods in an Industrial Project Alan, Hamilton, Ontario, Canada L8S 4L7 Abstract. This paper describes the lessons we learned over a thirteen Generation Inc., Feb 1997--Dec 1998 c #2003 Springer­Verlag #12; 2 Lessons Learned from Successful

  7. Providing Integrity for Satellite Navigation: Lessons Learned (Thus Far) from the Financial

    E-Print Network [OSTI]

    Stanford University

    Providing Integrity for Satellite Navigation: Lessons Learned (Thus Far) from the Financial], the goal is to learn lessons from this experience that can improve the way that risk is assessed directly to the worldwide financial crisis of 2008 - 2009 and identifies lessons that are applicable

  8. TOWSON'S PHYSTEC COURSE IMPROVEMENT PROJECT, YEARS 1 AND 2: RESULTS AND LESSONS LEARNED

    E-Print Network [OSTI]

    Sandifer, Cody

    TOWSON'S PHYSTEC COURSE IMPROVEMENT PROJECT, YEARS 1 AND 2: RESULTS AND LESSONS LEARNED Cody. Lastly, the project team has learned numerous lessons about large-scale course reform with respect to include lessons learned by the project team about effective course structure, different forms of inquiry

  9. GYMNASTICS LESSONS Whether you want to learn how to tumble, get some exercise, or

    E-Print Network [OSTI]

    Beex, A. A. "Louis"

    GYMNASTICS LESSONS Whether you want to learn how to tumble, get some exercise, or just have fun will be practiced with females and all men's events will be practiced with males. PRIVATE LESSONS Designed lessons offer an excellent opportunity to explore your potential. These classes may be taken in addition

  10. October--November 2003's space weather and operations lessons learned

    E-Print Network [OSTI]

    Schrijver, Karel

    October--November 2003's space weather and operations lessons learned L. P. Barbieri and R. E experience and lessons learned widely among both developing and operating missions, and to uniformly apply: space weather, operations, lessons learned, best practices, environmental effects Citation: Barbieri, L

  11. Lessons learned on the UMTRA Project. Special study

    SciTech Connect (OSTI)

    Not Available

    1991-02-01T23:59:59.000Z

    This report has been compiled as part of the Technical Assistance Contractor`s (TAC`s) continuing efforts to improve the quality of its product to the US Department of Energy (DOE), and to reduce the costswhile maintaining a standard of excellence on the Uranium Mill Tailings Remedial Action (UMTRA) Project. The report documents the lessons learned and the steps taken to benefit the project as a result. This study has multiple objectives, which fall under the following hierarchy: To examine and evaluate past successes and mistakes. To provide a record of lessons learned for the benefit and orientation of future staffmembers. To identify shortcomings of, and desired improvements to, current UMTRA Project practices and procedures. To establish a means for the future review and dissemination of lessons learned.

  12. Lessons Learned Following the Successful Decommissioning of a Reaction Vessel Containing Lime Sludge and Technetium-99

    SciTech Connect (OSTI)

    Dawson, P. M.; Watson, D. D.; Hylko, J. M.

    2002-02-25T23:59:59.000Z

    This paper documents how WESKEM, LLC utilized available source term information, integrated safety management, and associated project controls to safely decommission a reaction vessel and repackage sludge containing various Resource Conservation and Recovery Act constituents and technetium-99 (Tc-99). The decommissioning activities were segmented into five separate stages, allowing the project team to control work related decisions based on their knowledge, experience, expertise, and field observations. The information and experience gained from each previous stage and rehearsals contributed to modifying subsequent entries, further emphasizing the importance of developing hold points and incorporating lessons learned. The hold points and lessons learned, such as performing detailed personal protective equipment (PPE) inspections during sizing and repackaging operations, and using foam-type piping insulation to prevent workers from cutting or puncturing their PPE on sharp edge s or small shards generated during sizing operations, minimized direct contact with the Tc-99. To prevent the spread of contamination, the decommissioning activities were performed inside a containment enclosure connected to negative air machines. After performing over 235 individual entries totaling over 285 project hours, only one first aid was recorded during this five-stage project.

  13. A Method For Eclipsing Component Identification In Large Photometric Datasets

    E-Print Network [OSTI]

    Jonathan Devor; David Charbonneau

    2005-10-04T23:59:59.000Z

    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.

  14. Lessons Learned from Alternative Transportation Fuels: Modeling Transition Dynamics

    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 Surfaces and Interfaces Sample6, 2011 LawrenceE C H NLensless LessonLessons

  15. Lessons Learned Quarterly Report, June 2012 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie09 Lessons2 Lessons

  16. Lessons Learned Quarterly Report, June 2014 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie09 Lessons2Lessons

  17. Lessons Learned Quarterly Report, March 2011 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie0909 Lessons1 Lessons

  18. Lessons Learned Quarterly Report, March 2006 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeatMulti-Dimensionalthe10 DOEWashington,LM-04-XXXXLocatedMakes A09 Lessons6 Lessons

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

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

    Broader source: Energy.gov [DOE]

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

  5. 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

  6. Lessons learned from facilitating the state and tribal government working group

    SciTech Connect (OSTI)

    Kurstedt, H.A. Jr.

    1994-12-31T23:59:59.000Z

    Thirteen lessons learned from my experience in facilitating the State and Tribal Government Working Group for the U.S. Department of Energy have been identified. The conceptual base for supporting the veracity of each lesson has been developed and the lessons are believed to be transferable to any stakeholder group. The crux of stakeholder group success if the two-directional, two-mode empowerment required in this case. Most of the lessons learned deal with the scope of that empowerment. A few of the lessons learned deal with the operations of the group.

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

    E-Print Network [OSTI]

    Hammerton, James

    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

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

    E-Print Network [OSTI]

    Wright, Dawn Jeannine

    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

  9. 978-1-4799-1270-4/13/$31.00 c 2013 IEEE Let's ChronoSync: Decentralized Dataset State

    E-Print Network [OSTI]

    California at Los Angeles, University of

    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

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

    E-Print Network [OSTI]

    Bermúdez, José Luis

    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

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

    E-Print Network [OSTI]

    Vilalta, Ricardo

    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

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

    E-Print Network [OSTI]

    Howat, Ian M.

    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

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

    E-Print Network [OSTI]

    Hefei Institute of Intelligent Machines

    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

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

    E-Print Network [OSTI]

    Jordan, King

    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

  15. 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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    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

  17. 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

  18. 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.

  19. From Local to Global Coordination: Lessons from Software Reuse

    E-Print Network [OSTI]

    Grinter, Rebecca Elizabeth

    From Local to Global Coordination: Lessons from Software Reuse Rebecca E. Grinter Xerox PARC 3333 Coyote Hill Road Palo Alto, CA 94304 USA grinter@parc.xerox.com http://www.parc by making it possible to share code. However, software reuse in practice has proved much harder. This paper

  20. Lessons learned How to Build Successful Heat Pump Markets

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    #12;2 Lessons learned ­ How to Build Successful Heat Pump Markets Lukas Bergmann, Delta Energy & Environment European Heat Pump Summit 2013 Nürnberg, 15th October 2013 Contact: lukas CHP Small Wind Photovoltaics Energy Efficiency Smart Demand Heat Pumps Networks Micro-CHP Energy

  1. November 21, 2000 PV Lesson Plan 2 Sample Questions & Answers

    E-Print Network [OSTI]

    Oregon, University of

    November 21, 2000 PV Lesson Plan 2 ­ Sample Questions & Answers Prepared for the Oregon Million Solar Roofs Coalition By Frank Vignola ­ University of Oregon Solar Radiation Monitoring Lab John Hocken your understanding: 1. The typical voltage of a silicon solar cell is about 0.5 volts; where does

  2. Lesson Summary Students plot the path of two coronal mass

    E-Print Network [OSTI]

    Mojzsis, Stephen J.

    Teaching Time: One 45-minute period Materials per Student · Student work page · Calculator · Colored minutes 1. Review lesson plan 2. Gather materials 3. Copy student work page 4. Create overhead of student are not inconsequential. Like Stealth Bombers, it is not the ones we can detect on the limb of the Sun that pose a hazard

  3. 30 BOSTONIA Fall 2014 PHOTOGRAPHS BY MATTIA BALSAMINI Lessons from

    E-Print Network [OSTI]

    Spence, Harlan Ernest

    30 BOSTONIA Fall 2014 PHOTOGRAPHS BY MATTIA BALSAMINI Lessons from #12;Fall 2014 BOSTONIA 31 Venice LASKOWSKI #12;32 BOSTONIA Fall 2014 On a warm June night, tourists sip cocktails on the banks of the Grand into the ground, effectively petrifying and preserving them. They put planks on top of these pillars, and marble

  4. LESSONS LEARNED FROM RECENT PROMOTION STRATEGIES FOR ELECTRICITY

    E-Print Network [OSTI]

    for electricity generation is a major target in the EU. To meeting this target in recent years, a wide range of renewable energy for electricity generation (RES-E) is a major target in the EU. The DirectiveLESSONS LEARNED FROM RECENT PROMOTION STRATEGIES FOR ELECTRICITY FROM RENEWABLES IN EU COUNTRIES

  5. Climate Change at Yucca Mountain: Lessons from Earth History

    E-Print Network [OSTI]

    Schrag, Daniel

    9 Climate Change at Yucca Mountain: Lessons from Earth History MaryLynn Musgrove and Daniel P. Schrag Yucca Mountain's suitability as a nuclear waste repository stems largely from its very dry climate the climate and hydrologic conditions at Yucca Mountain will be stable enough beyond the next ten millennia so

  6. Private Lessons (24 Credit Hours) Hours Conducting (2 Credit Hours)

    E-Print Network [OSTI]

    Performance Emphasis 6 IPA Proficiency Exam**** MUSC 4996 Private Lessons IV Music Performance Emphasis 6. Private piano study may not be substituted for Class Piano or the Piano Proficiency Exam. ****IPA Proficiency Exam: All voice performance emphasis students must pass the IPA Proficiency Exam before taking

  7. Lesson Summary Students will learn about different carbon

    E-Print Network [OSTI]

    Mojzsis, Stephen J.

    Lesson Summary Students will learn about different carbon sources and sinks and the release · Knowledge of carbon as the main constituent of living organisms AAAS Science Benchmarks The Physical Setting Materials · 1 copy of The Carbon Cycle (Figure 1) · 1 copy of The Carbon Cycle A4 sheet for each student · 1

  8. Vertebrate heart development: Lessons learnt from live imaging

    E-Print Network [OSTI]

    Shyamasundar, R.K.

    Vertebrate heart development: Lessons learnt from live imaging California Institute of Technology employing different imaging techniques. Sub resolution imaging of beating zebrafish heart has however remained a challenge owing Embryonic heart is a 100 moving quasi-periodically at few Hertz frequency, over

  9. Lessons Learned During HVAC Installation Dept. of Computer Science

    E-Print Network [OSTI]

    Watson, Ian

    Lessons Learned During HVAC Installation Ian Watson AI-CBR Dept. of Computer Science University of HVAC equipment. It has been developed as an adjunct to an existing system that uses case-based reasoning to reuse previous HVAC installation specifications and designs. The system described lets

  10. Power-games and organizational learning: Lessons for Organizations Management .

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Power-games and organizational learning: Lessons for Organizations Management . Thierry LEVY Learning; Management. hal-00848674,version1-27Jul2013 #12;2 Power-games and organizational learning-Economic approach, Henri SAVALL (1981) developed. KEY-WORDS: Game-Theory; Conflicts; Negotiation, Organizational

  11. Developing Tutorials for Advanced Physics Students: Processes and Lessons Learned

    E-Print Network [OSTI]

    Colorado at Boulder, University of

    Developing Tutorials for Advanced Physics Students: Processes and Lessons Learned Charles Baily electrodynamics, active learning, course transformation. PACS: 01.40.Fk, 01.40.gb INTRODUCTION A common theme in physics education research (PER) is that students will learn more when they are active participants

  12. Lesson Summary Students will learn about the Arctic Beaufort Sea

    E-Print Network [OSTI]

    Mojzsis, Stephen J.

    Lesson Summary Students will learn about the Arctic Beaufort Sea and research the adaptations of people and animals in the arctic regions. They will also learn about how their actions can affect the Arctic and learn about the International Polar Year. Prior Knowledge & Skills · Research skills

  13. Measuring evolutionary responses to global warming: cautionary lessons from Drosophila

    E-Print Network [OSTI]

    Rodríguez, Miguel Ángel

    Measuring evolutionary responses to global warming: cautionary lessons from Drosophila FRANCISCO. Understanding evolutionary responses to global climate warming can be daunt- ingly complex. But, primarily of the magnitude of long-term responses to global warming; standardising by equivalent seasonal tem- perature

  14. November 21, 2000 PV Lesson Plan 2 Solar Electric Arrays

    E-Print Network [OSTI]

    Oregon, University of

    rating of a photovoltaic module is typically quoted as the power output of the module when the incidentNovember 21, 2000 PV Lesson Plan 2 ­ Solar Electric Arrays Prepared for the Oregon Million Solar Roofs Coalition By Frank Vignola ­ University of Oregon Solar Radiation Monitoring Lab John Hocken

  15. Blue Lacuna: Lessons Learned Writing the World's Longest Interactive Fiction

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    1 Blue Lacuna: Lessons Learned Writing the World's Longest Interactive Fiction Aaron A. Reed Abstract--Blue Lacuna is a new long form interactive fic- tion comprising nearly 400,000 words of prose play time of fifteen to twenty hours. In development between 2006 and 2009, Blue Lacuna fea- tures

  16. Patent systems for encouraging innovation: Lessons from economic analysis1

    E-Print Network [OSTI]

    Boyer, Edmond

    1 Patent systems for encouraging innovation: Lessons from economic analysis1 David ENCAOUA (EUREQua version submitted October 2003) Abstract Economic theory views patents as policy instruments aimed. First, patents may not be the most effective means of protection for inventors to recover R

  17. Restoring Stream Ecosystems: Lessons from a Midwestern State

    E-Print Network [OSTI]

    Lamberti, Gary A.

    Restoring Stream Ecosystems: Lessons from a Midwestern State Ashley H. Moerke1,2 and Gary A. Lamberti1 Abstract Reach-scale stream restorations are becoming a common approach to repair degraded and nature of reach-scale stream restorations in this midwestern U.S. state. For 10 attempted restorations

  18. in this issue 1 Lessons from Ford of Mexico

    E-Print Network [OSTI]

    Gabrieli, John

    in this issue 1 Lessons from Ford of Mexico 2 Welcome 3 The SDM Core: System Architecture 4 SDM 12 Calendar SDM partnership is a success story for Ford of Mexico Ford of Mexico started its-changing industry needs. When Ford of Mexico began looking for an advanced degree program to develop high

  19. Summary of Planned Implementation for the HTGR Lessons Learned Applicable to the NGNP

    SciTech Connect (OSTI)

    Ian Mckirdy

    2011-09-01T23:59:59.000Z

    This document presents a reconciliation of the lessons learned during a 2010 comprehensive evaluation of pertinent lessons learned from past and present high temperature gas-cooled reactors that apply to the Next Generation Nuclear Plant Project along with current and planned activities. The data used are from the latest Idaho National Laboratory research and development plans, the conceptual design report from General Atomics, and the pebble bed reactor technology readiness study from AREVA. Only those lessons related to the structures, systems, and components of the Next Generation Nuclear Plant (NGNP), as documented in the recently updated lessons learned report are addressed. These reconciliations are ordered according to plant area, followed by the affected system, subsystem, or component; lesson learned; and finally an NGNP implementation statement. This report (1) provides cross references to the original lessons learned document, (2) describes the lesson learned, (3) provides the current NGNP implementation status with design data needs associated with the lesson learned, (4) identifies the research and development being performed related to the lesson learned, and (5) summarizes with a status of how the lesson learned has been addressed by the NGNP Project.

  20. Lesson learned from (some) recurrent novae

    E-Print Network [OSTI]

    Mason, Elena

    2013-01-01T23:59:59.000Z

    In this talk we present early decline and nebular spectra of the recurrent novae YY Dor and nova LMC 2009. These and a few other recurrent novae of the same type, share similar spectral characteristics and evolution. We will critically discuss those common features suggesting same white dwarf progenitor and post outburst phases for all of them.

  1. 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]

    Haak, Hein

    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

  2. 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]

    O'Brien, James F.

    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

  3. LESSONS LEARNED Biosurveillance Mobile App Development Intern Competition (Summer 2013)

    SciTech Connect (OSTI)

    Noonan, Christine F.; Henry, Michael J.; Corley, Courtney D.

    2014-01-14T23:59:59.000Z

    The purpose of the lessons learned document for the BEOWulf Biosurveillance Mobile App Development Intern Competition is to capture the project’s lessons learned in a formal document for use by other project managers on similar future projects. This document may be used as part of new project planning for similar projects in order to determine what problems occurred and how those problems were handled and may be avoided in the future. Additionally, this document details what went well with the project and why, so that other project managers may capitalize on these actions. Project managers may also use this document to determine who the project team members were in order to solicit feedback for planning their projects in the future. This document will be formally communicated with the organization and will become a part of the organizational assets and archives.

  4. Lessons learned by the DOE complex from recent earthquakes

    SciTech Connect (OSTI)

    Eli, M.W.

    1993-07-01T23:59:59.000Z

    Recent earthquake damage investigations at various industrial facilities have resulted in providing the DOE complex with reminders of practical lessons for structures, systems, and components (SSCs) involving: confinement of hazardous materials; continuous, safe operations; occupant safety; and protection of DOE investments and mission-dependent items. Recent assessments are summarized, showing examples of damage caused by the 1992 California Earthquakes (Cape Mendocino, Landers, and Big Bear) and the 1991 Costa Rica Earthquake (Valle de la Estrella). These lessons if applied along with the new DOE NPH Standards (1020--92 Series) can help assure that DOE facilities will meet the intent of the seismic requirements in the new DOE NPH Order 5480.28.

  5. Reactor D and D at Argonne National Laboratory - lessons learned.

    SciTech Connect (OSTI)

    Fellhauer, C. R.

    1998-03-23T23:59:59.000Z

    This paper focuses on the lessons learned during the decontamination and decommissioning (D and D) of two reactors at Argonne National Laboratory-East (ANL-E). The Experimental Boiling Water Reactor (EBWR) was a 100 MW(t), 5 MSV(e) proof-of-concept facility. The Janus Reactor was a 200 kW(t) reactor located at the Biological Irradiation Facility and was used to study the effects of neutron radiation on animals.

  6. Lessons from a Home Inspection | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy UsageAUDITVehicles »Exchange Visitorsfor Shade Landscaping for ShadeLessons

  7. LESSONS LEARNED THROUGH OPTIMIZATION OF THE VOLUNTARY CORRECTIVE ACTION PROCESS

    SciTech Connect (OSTI)

    Thacker, M. S.; Freshour, P.; McDonald, W.

    2002-02-25T23:59:59.000Z

    Valuable experience in environmental remediation was gained at Sandia National Laboratories/New Mexico (Sandia) by concurrently conducting Voluntary Corrective Actions (VCAs) at three Solid Waste Management Units (SWMUs). Sandia combined the planning, implementation, and reporting phases of three VCAs with the goal of realizing significant savings in both cost and schedule. The lessons learned through this process have been successfully implemented within the Sandia Environmental Restoration (ER) Project and could be utilized at other locations with multiple ER sites. All lessons learned resulted from successful teaming with the New Mexico Environment Department (NMED) Hazardous Waste Bureau (HWB), Sandia management, a Sandia risk assessment team, and Sandia waste management personnel. Specific lessons learned included the following: (1) potential efficiencies can be exploited by reprioritization and rescheduling of activities; (2) cost and schedule reductions can be realized by combining similar work at contiguous sites into a single effort; (3) working with regulators to develop preliminary remediation goals (PRGs) and gain regulatory acceptance for VCA planning prior to project initiation results in significant time savings throughout the remediation and permit modification processes; (4) effective and thoughtful contingency planning removes uncertainties and defrays costs so that projects can be completed without interruption; (5) timely collection of waste characterization samples allows efficient disposal of waste streams, and (6) concurrent reporting of VCA activities results in significant savings in time for the authors and reviewers.

  8. Worldwide Overview of Lessons Learned from Decommissioning Projects

    SciTech Connect (OSTI)

    Laraia, Michele [IAEA, Vienna (Austria)

    2008-01-15T23:59:59.000Z

    With an increasing number of radioactive facilities and reactors now reaching the end of their useful life and being taken out of service, there is a growing emphasis worldwide on the safe and efficient decommissioning of such plants. There is a wealth of experience already gained in decommissioning projects for all kinds of nuclear facilities. It is now possible to compare and discuss progress and accomplishments worldwide. In particular, rather than on the factual descriptions of projects, technologies and case histories, it is important to focus on lessons learned: in this way, the return of experience is felt to effectively contribute to progress. Key issues - inevitably based on a subjective ranking - are presented in this paper. Through the exchange of lessons learned, it is possible to achieve full awareness of the need for resources for and constraints of safe and cost-effective decommissioning. What remains now is the identification of specific, remaining issues that may hinder or delay the smooth progress of decommissioning. To this end, lessons learned provide the necessary background information; this paper tries to make extensive use of practical experience gained by the international community.

  9. Solid-State Lighting: Early Lessons Learned on the Way to Market

    SciTech Connect (OSTI)

    Sandahl, Linda J.; Cort, Katherine A.; Gordon, Kelly L.

    2013-12-31T23:59:59.000Z

    The purpose of this report is to document early challenges and lessons learned in the solid-state lighting (SSL) market development as part of the DOE’s SSL Program efforts to continually evaluate market progress in this area. This report summarizes early actions taken by DOE and others to avoid potential problems anticipated based on lessons learned from the market introduction of compact fluorescent lamps and identifies issues, challenges, and new lessons that have been learned in the early stages of the SSL market introduction. This study identifies and characterizes12 key lessons that have been distilled from DOE SSL program results.

  10. The Effect of the Recovery Act on the River Corridor Closure Project: Lessons Learned

    SciTech Connect (OSTI)

    Mackay, S. M.

    2012-07-31T23:59:59.000Z

    This summary report provides a high-level lessons learned by WCH of the impact to its project performance. The context is limited to the WCH project alone.

  11. E-Print Network 3.0 - africa lessons learned Sample Search Results

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

    lessons learned stakeholder... Energy and Development: Activities in Sub-Saharan Africa Gordon Mackenzie Energy Programme... Coordinator UNEP Ris Centre 12;Energy and...

  12. Lesson Learned by Lawrence Livermore National Laboratory Activity-level Work Planning and Control

    Broader source: Energy.gov [DOE]

    Slide Presentation by Donna J. Governor, Lawrence Livermore National Laboratory. Lessons Learned by Lawrence Livermore National Laboratory Activity-Level Work Planning & Control.

  13. Case Studies from the Climate Technology Partnership: Landfill Gas Projects in South Korea and Lessons Learned

    SciTech Connect (OSTI)

    Larney, C.; Heil, M.; Ha, G. A.

    2006-12-01T23:59:59.000Z

    This paper examines landfill gas projects in South Korea. Two case studies provide concrete examples of lessons learned and offer practical guidance for future projects.

  14. Analysis of International Policies In The Solar Electricity Sector: Lessons for India

    E-Print Network [OSTI]

    Deshmukh, Ranjit

    2011-01-01T23:59:59.000Z

    by California. The California Solar Initiative (CSI) targetsCommission, “The California Solar Initiative”, available atdemand-pull: Lessons from California’s solar policy”, Energy

  15. E-Print Network 3.0 - amendment lessons learned Sample Search...

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

    Biology and Medicine 8 Table of Contents How did the Corps Summary: Support to Civil Works Projects Lessons Learned Innovative Technologies Emergency Management 12......

  16. E-Print Network 3.0 - antenatal screening lessons Sample Search...

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

    Health Services in Rural Tamil Nadu: Public Investment Requirements and Health Sector Reform Summary: program, NRHM to help incorporate and scale up lessons from the experiences...

  17. E-Print Network 3.0 - assay lessons learned Sample Search Results

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

    are assigned for your health lessons, you can decide - ONE must be designed for EITHER middle or high school Source: Dyer, Bill - Department of Plant Sciences and Plant...

  18. E-Print Network 3.0 - arthroplasty lessons learned Sample Search...

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

    are assigned for your health lessons, you can decide - ONE must be designed for EITHER middle or high school Source: Dyer, Bill - Department of Plant Sciences and Plant...

  19. Successful Partnerships and Lessons from the Field, Part 1, Webinar Transcript

    Broader source: Energy.gov [DOE]

    Part 1-Successful Partnerships and Lessons from the Field Webinar Transcript, from the U.S. Department of Energy Technical Assistance Program (TAP).

  20. Building Energy-Efficient Schools in New Orleans: Lessons Learned (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2012-01-01T23:59:59.000Z

    This brochure presents the lessons learned from incorporating energy efficiency in the rebuilding and renovating of New Orleans K-12 schools after Hurricanes Katrina and Rita.

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

    Broader source: Energy.gov [DOE]

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

  2. Fact #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

  3. 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

  4. 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

  5. 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

  6. Tension and Systematics in the Gold06 SnIa Dataset

    E-Print Network [OSTI]

    S. Nesseris; L. Perivolaropoulos

    2007-01-09T23:59:59.000Z

    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.

  7. Development and Leadership of R&D Consortia: Lessons learned and possible road ahead for continued innovation1

    E-Print Network [OSTI]

    Amin, S. Massoud

    1 Development and Leadership of R&D Consortia: Lessons learned and possible road ahead/industry/government/NGO organizations, primarily based on lessons I have learned after creating (in 1998) and leading (during 19982001

  8. Kaleidoscope, impact and lessons learned 21/06/2009 18:35:31 page 1 of 35 Kaleidoscope

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Kaleidoscope, impact and lessons learned 21/06/2009 18:35:31 page 1 of 35 Kaleidoscope Impact and lessons learned A position paper N. Balacheff1 , S. Ludvigsen2 This document is based on the contributions lessons which can be learned from what we consider as being the first period of the life of the network

  9. S E P T E M B E R 2 0 0 6 Lessons Learned From 9/11

    E-Print Network [OSTI]

    Kidd, Kenneth

    S E P T E M B E R 2 0 0 6 Lessons Learned From 9/11: DNA Identification in Mass Fatality Incidents Programs Partnerships for Safer Communities www.ojp.usdoj.gov #12;Lessons Learned From 9/11: DNA, and procedures to help identify those who perished in the WTC attack. This report contains the KADAP's "lessons

  10. Lessons from the IPCC SREX Report in Latin America and the Caribbean

    E-Print Network [OSTI]

    Lessons from the IPCC SREX Report in Latin America and the Caribbean: Managing Climate Extremes and the Caribbean: Lessons from the SREX report. CDKN, available online at www.cdkn.org/srex. All correspondence makers in Latin America and the Caribbean? 16 IPCC SREX Glossary of Terms 19 IPCC Uncertainty Guidance 20

  11. Climate Insights 101 Questions and Discussion Points: Module 1, Lesson 4: An Introduction to Climate Modelling

    E-Print Network [OSTI]

    Pedersen, Tom

    Climate Insights 101 Questions and Discussion Points: Module 1, Lesson 4: An Introduction to Climate Modelling 1 Climate Insights 101 Questions and Discussion Points Module 1, Lesson 4: An Introduction to Climate Modelling Available at http://pics.uvic.ca/education/climate-insights-101 Updated May

  12. To Upload Lesson Videos to the VAT Site: Getting to the Video Analysis of Teaching Homepage

    E-Print Network [OSTI]

    Qiu, Weigang

    1 To Upload Lesson Videos to the VAT Site: Getting to the Video Analysis of Teaching Students." In the navigation panel on the left, click on "Video Analysis of Teaching". The screen to the right is the VAT homepage. In order to upload or view the lesson video that you have

  13. Lesson Summary Students use images of the Sun with sunspots to

    E-Print Network [OSTI]

    Mojzsis, Stephen J.

    Lesson Summary Students use images of the Sun with sunspots to model movement of sunspots across the Sun's surface Prior Knowledge & Skills Completed the lesson: · Making a Homemade Sunspot Viewer AAAS the pictures of the Sun and the sunspots. Answer the following questions about your observations. 1. Does

  14. Successes, Challenges, Lessons Learned in Land Use Planning Efforts Adjacent to an LRT Station

    E-Print Network [OSTI]

    Minnesota, University of

    Successes, Challenges, Lessons Learned in Land Use Planning Efforts Adjacent to an LRT Station interest in "new outreach methods" ·!Demonstrated value added in more collaborative process #12;Lessons Learned 1.! Begin internal & external outreach earlier 2.! Our "good ideas" were not necessarily good

  15. Lessons Learned from Prior Attempts at National Security Reform The Project on National Security Reform

    E-Print Network [OSTI]

    Lewis, Robert Michael

    Lessons Learned from Prior Attempts at National Security Reform The Project on National Security was their solution effective? 4. What implications for present-day reformers can be drawn from this reform? Lessons learned from each chapter are summarized at the end of each section, and a synthesis of these findings

  16. ULO Course Learning Outcome Assessment Method Pedagogy 01-01 Students will write effective lesson plans

    E-Print Network [OSTI]

    Barrash, Warren

    ENGL381 ULO Course Learning Outcome Assessment Method Pedagogy 01-01 Students will write effective lesson plans for a variety of audiences including peers, mentor teachers and administrators, as well as the course instructor and for themselves. Written lesson plans will be assessed for conventions

  17. ULO Course Learning Outcome Assessment Method Pedagogy 01-01 Plan lessons and instructional units that

    E-Print Network [OSTI]

    Barrash, Warren

    MATH400 ULO Course Learning Outcome Assessment Method Pedagogy 01-01 Plan lessons and instructional strategies ; Short lecture 04-01 Plan lessons and instructional units that address appropriate learning goals units that address appropriate learning goals and focus on developing students' understanding

  18. Using Simulation for Decision Support: Lessons Learned from FireGrid 

    E-Print Network [OSTI]

    Wickler, Gerhard; Beckett, George; Han, Liangxiu; Koo, Sung-Han; Potter, Stephen; Pringle, Gavin; Tate, Austin

    This paper describes some of the lessons learned from the FireGrid project. It starts with a brief overview of the project. The discussion of the lessons learned that follows is intended for others attempting to develop a similar system, where...

  19. Visual Design of coherent Technology-Enhanced Learning Systems: a few lessons learned from CPM language

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Visual Design of coherent Technology-Enhanced Learning Systems: a few lessons learned from CPM Systems: a few lessons learned from CPM language Abstract. Visual instructional design languages currently Botturi ; Todd Stubbs (Ed.) (2007) 254-280" #12;-1- Visual Design of coherent Technology-Enhanced Learning

  20. EARN A STIPEND: Develop inquirybased lessons & activities about native, nonnative or invasive plants

    E-Print Network [OSTI]

    Watson, Craig A.

    ? Doing a demonstration? Asking a series of whole-class questions? Showing a film clip? · Middle school discussion questions in a lesson plan, list specific questions to ask and provide sample acceptable answers://www.spice.centers.ufl.edu/ TITLE: Make it catchy and convey the topic of the lesson. KEY QUESTION(S): Identify key question

  1. Lesson Summary Students use an AM radio to monitor changes in

    E-Print Network [OSTI]

    Mojzsis, Stephen J.

    Lesson Summary Students use an AM radio to monitor changes in the intensity of solar output Prior lesson plan 2. Practice use of AM radio 3. Create data table 4. Identify period of solar activity via Inquiry Physical Science Transfer of Energy Earth and Space Science Earth in the Solar System Science

  2. Optimal-Sustainable Management of Multi-Species Fisheries: Lessons from a Predator-Prey Model

    E-Print Network [OSTI]

    Woodward, Richard T.

    Optimal-Sustainable Management of Multi-Species Fisheries: Lessons from a Predator-Prey Model):355-377. Please consult that version for citations #12;2 Optimal-Sustainable Management of Multi-Species Fisheries: Lessons from a Predator-Prey Model Abstract: In this paper we define fisheries management as sustainable

  3. Lesson Summary Students draw and label the parts of the Sun that

    E-Print Network [OSTI]

    Mojzsis, Stephen J.

    Lesson Summary Students draw and label the parts of the Sun that they are familiar with. Next understanding of the Sun's features. Prior Knowledge & Skills Completed the lesson: · The Dynamic Nature of the Sun Understanding of: · The Sun as a dynamic object · The basic structure and function of the Sun

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

    E-Print Network [OSTI]

    Boyer, Edmond

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

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

    E-Print Network [OSTI]

    Prince, Thomas A.

    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

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

    E-Print Network [OSTI]

    Ding, Wei

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

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

    E-Print Network [OSTI]

    Anderson, Richard

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

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

    E-Print Network [OSTI]

    Gesbert, David

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

  9. 5D-ODETLAP: A NOVEL FIVE-DIMENSIONAL COMPRESSION METHOD ON TIME-VARYING MULTIVARIABLE GEOSPATIAL DATASET

    E-Print Network [OSTI]

    Franklin, W. Randolph

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

  10. Space reactor safety, 1985--1995 lessons learned

    SciTech Connect (OSTI)

    Marshall, A.C.

    1995-12-31T23:59:59.000Z

    Space reactor safety activities and decisions have evolved over the last decade. Important safety decisions have been made in the SP-100, Space Exploration Initiative, NEPSTP, SNTP, and Bimodal Space Reactor programs. In addition, international guidance on space reactor safety has been instituted. Space reactor safety decisions and practices have developed in the areas of inadvertent criticality, reentry, radiological release, orbital operation, programmatic, and policy. In general, the lessons learned point out the importance of carefully reviewing previous safety practices for appropriateness to space nuclear programs in general and to the specific mission under consideration.

  11. Space reactor safety, 1985{endash}1995 lessons learned

    SciTech Connect (OSTI)

    Marshall, A.C. [Sandia National Laboratories, P.O. Box 5800, Albuquerque, New Mexico 87185 (United States)

    1996-03-01T23:59:59.000Z

    Space reactor safety activities and decisions have evolved over the last decade. Important safety decisions have been made in the SP-100, Space Exploration Initiative, NEPSTP, SNTP, and Bimodal Space Reactor programs. In addition, international guidance on space reactor safety has been instituted. Space reactor safety decisions and practices have developed in the areas of inadvertent criticality, reentry, radiological release, orbital operation, programmatics, and policy. In general, the lessons learned point out the importance of carefully reviewing previous safety practices for appropriateness to space nuclear programs in general and to the specific mission under consideration. {copyright} {ital 1996 American Institute of Physics.}

  12. Lessons from (2+1)-dimensional quantum gravity

    E-Print Network [OSTI]

    B. J. Schroers

    2007-10-31T23:59:59.000Z

    Proposals that quantum gravity gives rise to non-commutative spacetime geometry and deformations of Poincare symmetry are examined in the context of (2+1)-dimensional quantum gravity. The results are expressed in five lessons, which summarise how the gravitational constant, Planck's constant and the cosmological constant enter the non-commutative and non-cocommutative structures arising in (2+1)-dimensional quantum gravity. It is emphasised that the much studied bicrossproduct kappa-Poincare algebra does not arise directly in (2+1)-dimensional quantum gravity.

  13. Lessons Learned Concerning the Human Element in Events and Training

    SciTech Connect (OSTI)

    Michael D. Sandvig

    2006-02-01T23:59:59.000Z

    As the number and complexity of responses to hazardous material incidents have increased, government regulators have implemented a national incident command system, bolstered by a host of protective measures and response equipment. Special advanced technical equipment has also been developed and made available to on-scene responders and command staff. Yet with all the investment in organizational and technical advance, the human element of emergency response remains critical and also needs our continued attention to ensure effective operation and success. This paper focuses on lessons learned from radiological events and training exercises that pertain to these human elements.

  14. JLab SRF Cavity Fabrication Errors, Consequences and Lessons Learned

    SciTech Connect (OSTI)

    Frank Marhauser

    2011-09-01T23:59:59.000Z

    Today, elliptical superconducting RF (SRF) cavities are preferably made from deep-drawn niobium sheets as pursued at Jefferson Laboratory (JLab). The fabrication of a cavity incorporates various cavity cell machining, trimming and electron beam welding (EBW) steps as well as surface chemistry that add to forming errors creating geometrical deviations of the cavity shape from its design. An analysis of in-house built cavities over the last years revealed significant errors in cavity production. Past fabrication flaws are described and lessons learned applied successfully to the most recent in-house series production of multi-cell cavities.

  15. Lessons Learned from Creating a Course Advising Tool

    E-Print Network [OSTI]

    Mattei, Nicholas; Guerin, Joshua T; Goldsmith, Judy; Mazur, Joan M

    2013-01-01T23:59:59.000Z

    We detail some lessons learned while designing and testing a course selection tool for undergraduates at a large state university. Between 2009 - 2011 we conducted two surveys of over 500 students in multiple majors and colleges. These surveys asked students detailed questions about their preferences concerning courses selection, advising, and career paths. We present data from this study which may be helpful for faculty and staff who advise undergraduate students. We find that advising software tools can help both students and human advisors in terms of rote requirement checking and basic course planning, but nothing can replace an in person advising session.

  16. EM Recovery Act Lessons Learned (Johnson) | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-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) " ,"ClickPipelinesProvedDecember 2005Department ofDOEDisabilityContractorsRecovery Act Lessons Learned

  17. Lesson 7 - Waste from Nuclear Power Plants | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie Ovard AboutLesson 7

  18. Lessons Learned Quarterly Report, December 2003 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie Ovard AboutLesson

  19. Lessons Learned Quarterly Report, December 2009 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie Ovard09 Lessons

  20. Lessons Learned Quarterly Report, December 2010 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie Ovard09 Lessons0

  1. Lessons Learned Quarterly Report, December 2011 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie Ovard09 Lessons01

  2. Lessons Learned Quarterly Report, December 2012 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie Ovard09 Lessons012

  3. Lessons Learned Quarterly Report, December 2014 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie Ovard09Lessons

  4. Lessons Learned Quarterly Report, June 2003 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie Ovard09LessonsJune

  5. Lessons Learned Quarterly Report, June 2009 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie09 Lessons Learned

  6. Lessons Learned Quarterly Report, June 2010 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie09 Lessons Learned10

  7. Lessons Learned Quarterly Report, June 2011 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie09 Lessons

  8. Lessons Learned Quarterly Report, June 2013 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie09 Lessons2

  9. Lessons Learned Quarterly Report, March 2009 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie0909 Lessons Learned

  10. Lessons Learned Quarterly Report, March 2010 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie0909 Lessons

  11. Lessons Learned Quarterly Report, March 2012 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie0909 Lessons1

  12. Lessons Learned Quarterly Report, March 2013 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie0909 Lessons13

  13. Lessons Learned Quarterly Report, March 2014 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie0909 Lessons134

  14. Lessons Learned Quarterly Report, September 2009 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie0909 Lessons13409

  15. Lessons Learned Quarterly Report, September 2011 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie09091 Lessons Learned

  16. Lessons Learned Quarterly Report, September 2012 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOx TrapsLeasingLeslie09091 Lessons

  17. Lessons Learned: Measuring Program Outcomes and Using Benchmarks |

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen to HighJosephNOxDepartment of Energy Lessons

  18. Lessons Learned Quarterly Report, December 2008 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeatMulti-Dimensionalthe10 DOEWashington,LM-04-XXXXLocatedMakes A HomeGuidance8 Lessons

  19. Lessons from Large-Scale Renewable Energy Integration Studies: Preprint

    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: Crystal structureComposite--FORRemarksHEATINGI _ _++,J 'ULand UseLessons

  20. Lesson 9 - Energy and You | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |EnergyonSupport0.pdf5 OPAM SEMIANNUAL REPORT TOJaredKansas1 - Energy Basics Lesson 1 -3 -48

  1. Lessons Learned Quarterly Report 1st Quarter FY 1996

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |EnergyonSupport0.pdf5 OPAM SEMIANNUAL REPORT TOJaredKansas1 - Energy Basics Lesson 1 -3

  2. Lessons Learned Quarterly Report Archive | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |EnergyonSupport0.pdf5 OPAM SEMIANNUAL REPORT TOJaredKansas1 - Energy Basics Lesson 1

  3. Lessons Learned Quarterly Report, September 2013 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |EnergyonSupport0.pdf5 OPAM SEMIANNUAL REPORT TOJaredKansas1 - Energy Basics Lesson 1September

  4. Lessons Learned: The Grand Junction Office Site Transfer to Private

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |EnergyonSupport0.pdf5 OPAM SEMIANNUAL REPORT TOJaredKansas1 - Energy Basics LessonOwnership |

  5. CRAD, Lessons Learned Assessment Plan | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:June 2015 <Ones |Laboratory, JuneDid y ouRev.Lessons Learned

  6. 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]

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

    2006-01-01T23:59:59.000Z

    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

  7. 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]

    Hung, I-Kuai

    (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

  8. 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]

    Hung, I-Kuai

    (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

  9. Probing Cosmological Isotropy With Type IA Supernovae

    E-Print Network [OSTI]

    Bengaly, C A P; Alcaniz, J S

    2015-01-01T23:59:59.000Z

    We investigate the validity of the Cosmological Principle by mapping the cosmological parameters $H_0$ and $q_0$ through the celestial sphere. In our analysis, performed in a low-redshift regime to follow a model-independent approach, we use two compilations of type Ia Supernovae (SNe Ia), namely the Union2.1 and the JLA datasets. Firstly, we show that the angular distributions for both SNe Ia datasets are statistically anisotropic at high confidence level ($p$-value $<$ 0.0001), in particular the JLA sample. Then we find that the cosmic expansion and acceleration are mainly of dipolar type, with maximal anisotropic expansion [acceleration] pointing towards $(l,b) \\simeq (326^{\\circ},12^{\\circ})$ [$(l,b) \\simeq (174^{\\circ},27^{\\circ})$], and $(l,b) \\simeq (58^{\\circ},-60^{\\circ})$ [$(l,b) \\simeq (225^{\\circ},51^{\\circ})$] for the Union2.1 and JLA data, respectively. Secondly, we use a geometrical method to test the hypothesis that the non-uniformly distributed SNe Ia events could introduce anisotropic imp...

  10. LESSONS LEARNED IN AEROSOL MONITORING WITH THE RASA

    SciTech Connect (OSTI)

    Forrester, Joel B.; Bowyer, Ted W.; Carty, Fitz; Comes, Laura; Eslinger, Paul W.; Greenwood, Lawrence R.; Haas, Derek A.; Hayes, James C.; Kirkham, Randy R.; Lepel, Elwood A.; Litke, Kevin E.; Miley, Harry S.; Morris, Scott J.; Schrom, Brian T.; Van Davelaar, Peter; Woods, Vincent T.

    2011-09-14T23:59:59.000Z

    The Radionuclide Aerosol Sampler/Analyzer (RASA) is an automated aerosol collection and analysis system designed by Pacific Northwest National Laboratory (PNNL) in the 1990's and is deployed in several locations around the world as part of the International Monitoring System (IMS) required under the Comprehensive Nuclear-Test-Ban Treaty (CTBT). The RASA operates unattended, save for regularly scheduled maintenance, iterating samples through a three-step process on a 24-hour interval. In its 15-year history, much has been learned from the operation and maintenance of the RASA that can benefit engineering updates or future aerosol systems. On 11 March 2011, a 9.0 magnitude earthquake and tsunami rocked the eastern coast of Japan, resulting in power loss and cooling failures at the Daiichi nuclear power plants in Fukushima Prefecture. Aerosol collections were conducted with the RASA in Richland, WA. We present a summary of the lessons learned over the history of the RASA, including lessons taken from the Fukushima incident, regarding the RASA IMS stations operated by the United States.

  11. Lessons learned from decommissioning projects at Los Alamos National Laboratory

    SciTech Connect (OSTI)

    Salazar, M.

    1995-09-01T23:59:59.000Z

    This paper describes lessons learned over the last 20 years from 12 decommissioning projects at Los Alamos National Laboratory. These lessons relate both to overall program management and to management of specific projects during the planning and operations phases. The issues include waste management; the National Environmental Policy Act (NEPA); the Resource Conservation and Recovery Act (RCRA); the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA); contracting; public involvement; client/customer interface; and funding. Key elements of our approach are to be proactive; follow the observation method; perform field activities concurrently; develop strategies to keep reportable incidents from delaying work; seek and use programs, methods, etc., in existence to shorten learning curves; network to help develop solutions; and avoid overstudying and overcharacterizing. This approach results in preliminary plans that require very little revision before implementation, reasonable costs and schedules, early acquisition of permits and NEPA documents, preliminary characterization reports, and contracting documents. Our track record is good -- the last four projects (uranium and plutonium-processing facility and three research reactors) have been on budget and on schedule.

  12. Lessons Learned from the Puerto Rico Battery Energy Storage System

    SciTech Connect (OSTI)

    BOYES, JOHN D.; DE ANA, MINDI FARBER; TORRES, WENCESLANO

    1999-09-01T23:59:59.000Z

    The Puerto Rico Electric Power Authority (PREPA) installed a distributed battery energy storage system in 1994 at a substation near San Juan, Puerto Rico. It was patterned after two other large energy storage systems operated by electric utilities in California and Germany. The U.S. Department of Energy (DOE) Energy Storage Systems Program at Sandia National Laboratories has followed the progress of all stages of the project since its inception. It directly supported the critical battery room cooling system design by conducting laboratory thermal testing of a scale model of the battery under simulated operating conditions. The Puerto Rico facility is at present the largest operating battery storage system in the world and is successfully providing frequency control, voltage regulation, and spinning reserve to the Caribbean island. The system further proved its usefulness to the PREPA network in the fall of 1998 in the aftermath of Hurricane Georges. The owner-operator, PREPA, and the architect/engineer, vendors, and contractors learned many valuable lessons during all phases of project development and operation. In documenting these lessons, this report will help PREPA and other utilities in planning to build large energy storage systems.

  13. A site-wide approach to water conservation: Procedures, results and lessons learned

    SciTech Connect (OSTI)

    Sullivan, G.P.; Elliott, D.B.; Hostick, D.J.; Lamb, J.F.

    1997-06-01T23:59:59.000Z

    In response to Executive Order 12902, {open_quotes}Energy Efficiency and Water Conservation at Federal Facilities,{close_quotes} the U.S. Army Forces Command commissioned Pacific Northwest National Laboratory (PNNL) to conduct a sitewide water efficiency assessment at Fort Dix, located in Fort Dix, New Jersey. This analysis assessed more than 900 base and family housing buildings for cost-effective water resource opportunities (WROs). The analysis proved challenging due to variations in building age, size, occupancy (seasonally varying), and fixture use. Furthermore, metered water consumption data were available only at the point of treatment, prior to distribution. The approach used by PNNL included site visits to audit base buildings for fixture counts and types. Where possible flow measurements were performed on existing fixtures. Aggregations of base buildings into representative building sets were completed based on building and water-fixture type, age, and use. A spreadsheet model was developed to evaluate baseline water use and to calculate savings potential and life-cycle cost economics. This model includes a number of exogenous parameters to facilitate input changes and allow for sensitivity analysis on variables such as water cost, occupancy, and fixture densities. This paper discusses the methodology used to evaluate water use and savings at large federal facilities. It also presents the cost-effective WROs and accompanying economics. At Fort Dix, the cost-effective WROs are estimated to save 36.3 million gallons per year, or about 23% of the water use analyzed. Lessons learned included the need for an initial screening to prioritize water use, the need to develop accurate age-based water fixture characteristics and densities by building type, and the importance of the marginal cost of water for facilities producing their own water.

  14. Preservation and Implementation of Decommissioning Lessons Learned in the United States Nuclear Regulatory Commission

    SciTech Connect (OSTI)

    Rodriguez, Rafael L. [United States Nuclear Regulatory Commission, Office of Federal and State Materials and Environmental Management Programs, Washington, DC 20555 (United States)

    2008-01-15T23:59:59.000Z

    Over the past several years, the United States Nuclear Regulatory Commission (NRC) has actively worked to capture and preserve lessons learned from the decommissioning of nuclear facilities. More recently, NRC has involved industry groups, the Organization of Agreement States (OAS), and the Department of Energy (DOE) in the effort to develop approaches to capture, preserve and disseminate decommissioning lessons learned. This paper discusses the accomplishments of the working group, some lessons learned by the NRC in the recent past, and how NRC will incorporate these lessons learned into its regulatory framework. This should help ensure that the design and operation of current and future nuclear facilities will result in less environmental impact and more efficient decommissioning. In summary, the NRC will continue capturing today's experience in decommissioning so that future facilities can take advantage of lessons learned from today's decommissioning projects. NRC, both individually and collectively with industry groups, OAS, and DOE, is aggressively working on the preservation and implementation of decommissioning lessons learned. The joint effort has helped to ensure the lessons from the whole spectrum of decommissioning facilities (i.e., reactor, fuel cycle, and material facilities) are better understood, thus maximizing the amount of knowledge and best practices obtained from decommissioning activities. Anticipated regulatory activities at the NRC will make sure that the knowledge gained from today's decommissioning projects is preserved and implemented to benefit the nuclear facilities that will decommission in the future.

  15. Lessons learned during the training exercise for the entry into force of the U.S. additional protocol in the DOE complex

    SciTech Connect (OSTI)

    Boyer, Brian D [Los Alamos National Laboratory

    2009-01-01T23:59:59.000Z

    In 2008 in anticipation of the United States bringing into force the Additional Protocol in early 2009 DOE/NNSA planned and executed training exercises in the conduct of Additional Protocol complementary access activities. Brookhaven National Laboratory and Los Alamos National Laboratory together produced the exercises designed to prepare the following types of DOE laboratories for complementary access - weapons laboratories, nuclear engineering laboratories, and science laboratories. This panel provides a forum to discuss and summarize the results and lessons learned from the 2008 exercise.

  16. 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]

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

    2002-01-01T23:59:59.000Z

    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

  17. Lessons learned from applying VIM to fast reactor critical experiments, summary

    SciTech Connect (OSTI)

    Schaefer, R.W.; McKnight, R.D.; Collins, P.J.

    1995-05-17T23:59:59.000Z

    VIM is a continuous energy Monte Carlo code first developed around 1970 for the analysis of plate-type, fast-neutron, zero-power critical assemblies. In most respects, VIM is functionally equivalent to the MCNP code but it has two features that make uniquely suited to the analysis of fast reactor critical experiments: (1) the place lattice geometry option, which allows efficient description of and neutron tracking in the assembly geometry, and (2) a statistical treatment of neutron cross section data in the unresolved resonance range. Since its inception, VIM`s capabilities have expanded to include numerous features, such as thermal neutron cross sections, photon cross sections, and combinatorial and other geometry options, that have allowed its use in a wide range of neutral-particle transport problems. The earliest validation work at Argonne National Laboratory (ANL) focused on the validation of VIM itself. This work showed that, in order for VIM to be a ``rigomus`` tool, extreme detail in the pointwise Monte Carlo libraries was needed, and the required detail was added. The emphasis soon shifted to validating models, methods, data and codes against VIM. Most of this work was done in the context of analyzing critical experiments in zero power reactor (ZPR) assemblies. The purpose of this paper is to present some of the lessons learned from using VIM in ZPR analysis work.

  18. 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

  19. 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]

    Paris-Sud XI, Université de

    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

  20. 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]

    Nejdl, Wolfgang

    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