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  1. 2013 strategic petroleum reserve big hill well integrity grading report.

    SciTech Connect (OSTI)

    Lord, David L.; Roberts, Barry L.; Lord, Anna C. Snider; Bettin, Giorgia; Sobolik, Steven Ronald; Park, Byoung Yoon; Rudeen, David Keith; Eldredge, Lisa; Wynn, Karen; Checkai, Dean; Perry, James Thomas

    2014-02-01

    This report summarizes the work performed in developing a framework for the prioritization of cavern access wells for remediation and monitoring at the Big Hill Strategic Petroleum Reserve site. This framework was then applied to all 28 wells at the Big Hill site with each well receiving a grade for remediation and monitoring. Numerous factors affecting well integrity were incorporated into the grading framework including casing survey results, cavern pressure history, results from geomechanical simulations, and site geologic factors. The framework was developed in a way as to be applicable to all four of the Strategic Petroleum Reserve sites.

  2. PERSPECTIVES Deep Earthquakes: A Fault Too Big?

    E-Print Network [OSTI]

    Stein, Seth

    PERSPECTIVES Deep Earthquakes: A Fault Too Big? Seth Stein Because deep Earth processes are inacces. Recent results for the mys- terious deep earthquakes that occur to depths greater than 600 km is that large deep earthquakes (1-3) seem to have occurred on faults larger than ex- pected from the competing

  3. Big, Deep, and Smart Data in Energy Materials Research: Atomic...

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

    Big, Deep, and Smart Data in Energy Materials Research: Atomic View on Materials Functionalities Event Sponsor: Computing, Environment, and Life Sciences Seminar Start Date: Sep 22...

  4. U.S. strategic petroleum reserve Big Hill 114 leak analysis 2012.

    SciTech Connect (OSTI)

    Lord, David L.; Roberts, Barry L.; Lord, Anna C. Snider; Sobolik, Steven Ronald; Park, Byoung Yoon; Rudeen, David Keith [GRAM, Inc., Albuquerque, NM

    2013-06-01

    This report addresses recent well integrity issues related to cavern 114 at the Big Hill Strategic Petroleum Reserve site. DM Petroleum Operations, M&O contractor for the U.S. Strategic Petroleum Reserve, recognized an apparent leak in Big Hill cavern well 114A in late summer, 2012, and provided written notice to the State of Texas as required by law. DM has since isolated the leak in well A with a temporary plug, and is planning on remediating both 114 A- and B-wells with liners. In this report Sandia provides an analysis of the apparent leak that includes: (i) estimated leak volume, (ii) recommendation for operating pressure to maintain in the cavern between temporary and permanent fixes for the well integrity issues, and (iii) identification of other caverns or wells at Big Hill that should be monitored closely in light of the sequence of failures there in the last several years.

  5. Summary of Degas II performance at the US Strategic Petroleum Reserve Big Hill site.

    SciTech Connect (OSTI)

    Rudeen, David K.; Lord, David L.

    2007-10-01

    Crude oil stored at the US Strategic Petroleum Reserve (SPR) requires mitigation procedures to maintain oil vapor pressure within program delivery standards. Crude oil degasification is one effective method for lowering crude oil vapor pressure, and was implemented at the Big Hill SPR site from 2004-2006. Performance monitoring during and after degasification revealed a range of outcomes for caverns that had similar inventory and geometry. This report analyzed data from SPR degasification and developed a simple degas mixing (SDM) model to assist in the analysis. Cavern-scale oil mixing during degassing and existing oil heterogeneity in the caverns were identified as likely causes for the range of behaviors seen. Apparent cavern mixing patterns ranged from near complete mixing to near plug flow, with more mixing leading to less efficient degassing due to degassed oil re-entering the plant before 100% of the cavern oil volume was processed. The report suggests that the new cavern bubble point and vapor pressure regain rate after degassing be based on direct in-cavern measurements after degassing as opposed to using the plant outlet stream properties as a starting point, which understates starting bubble point and overstates vapor pressure regain. Several means to estimate the cavern bubble point after degas in the absence of direct measurement are presented and discussed.

  6. Geomechanical analysis to predict the oil leak at the wellbores in Big Hill Strategic Petroleum Reserve

    SciTech Connect (OSTI)

    Park, Byoung Yoon

    2014-02-01

    Oil leaks were found in wellbores of Caverns 105 and 109 at the Big Hill Strategic Petroleum Reserve site. According to the field observations, two instances of casing damage occurred at the depth of the interbed between the caprock bottom and salt top. A three dimensional finite element model, which contains wellbore element blocks and allows each cavern to be configured individually, is constructed to investigate the wellbore damage mechanism. The model also contains element blocks to represent interface between each lithology and a shear zone to examine the interbed behavior in a realistic manner. The causes of the damaged casing segments are a result of vertical and horizontal movements of the interbed between the caprock and salt dome. The salt top subsides because the volume of caverns below the salt top decrease with time due to salt creep closure, while the caprock subsides at a slower rate because the caprock is thick and stiffer. This discrepancy yields a deformation of the well. The deformed wellbore may fail at some time. An oil leak occurs when the wellbore fails. A possible oil leak date of each well is determined using the equivalent plastic strain failure criterion. A well grading system for a remediation plan is developed based on the predicted leak dates of each wellbore.

  7. Significant results of deep drilling at Elk Hills, Kern County, California

    SciTech Connect (OSTI)

    Fishburn, M.D. (Dept. of Energy, Elk Hills, CA (USA))

    1990-05-01

    Naval Petroleum Reserve 1 (Elk Hills) is located in the southwestern San Joaquin basin one of the most prolific oil-producing areas in the US. Although the basin is in a mature development stage, the presence of favorable structures and high-quality source rocks continue to make the deeper parts of the basin, specifically Elk Hills, an inviting exploration target. Of the three deep tests drilled by the US Department of Energy since 1976, significant geologic results were achieved in two wells. Well 987-25R reached low-grade metamorphic rock at 18,761 ft after penetrating over 800 ft of salt below the Eocene Point of Rocks Sandstone. In well 934-29R, the deepest well in California, Cretaceous sedimentary rocks were encountered at a total depth of 24,426 ft. In well 934-29R several major sand units were penetrated most of which encountered significant gas shows. Minor amounts of gas with no water were produced below 22,000 ft. In addition, production tests at 17,000 ft produced 46{degree} API gravity oil. Geochemical analysis of cores and cuttings indicated that the potential for hydrocarbon generation exists throughout the well and is significant because the possibility of hydrocarbon production exists at a greater depth than previously expected. A vertical seismic profile in the well indicated that basement at this location is at approximately 25,500 ft. Successful drilling of well 934-29R was attributed to the use of an oil-based mud system. The well took 917 days to drill, including 9,560 rotating hr with 134 bits. Bottom-hole temperature was 431{degree}F and pressures were approximately 18,000 psi. The high overburden pressure at 24,000 ft created drilling problems that ultimately led to the termination of drilling at 24,426 ft.

  8. Sonar atlas of caverns comprising the U.S. Strategic Petroleum Reserve. Volume 2, Big Hill Site, Texas.

    SciTech Connect (OSTI)

    Rautman, Christopher Arthur; Lord, Anna Snider

    2007-08-01

    Downhole sonar surveys from the four active U.S. Strategic Petroleum Reserve sites have been modeled and used to generate a four-volume sonar atlas, showing the three-dimensional geometry of each cavern. This volume 2 focuses on the Big Hill SPR site, located in southeastern Texas. Volumes 1, 3, and 4, respectively, present images for the Bayou Choctaw SPR site, Louisiana, the Bryan Mound SPR site, Texas, and the West Hackberry SPR site, Louisiana. The atlas uses a consistent presentation format throughout. The basic geometric measurements provided by the down-cavern surveys have also been used to generate a number of geometric attributes, the values of which have been mapped onto the geometric form of each cavern using a color-shading scheme. The intent of the various geometrical attributes is to highlight deviations of the cavern shape from the idealized cylindrical form of a carefully leached underground storage cavern in salt. The atlas format does not allow interpretation of such geometric deviations and anomalies. However, significant geometric anomalies, not directly related to the leaching history of the cavern, may provide insight into the internal structure of the relevant salt dome.

  9. Compound and Elemental Analysis At Fenton Hill HDR Geothermal...

    Open Energy Info (EERE)

    References D. G. Brookins, A. W. Laughlin (1983) Rb-Sr Geochronologic Investigation Of Precambrian Samples From Deep Geothermal Drill Holes, Fenton Hill, New Mexico Additional...

  10. Core Analysis At Fenton Hill HDR Geothermal Area (Brookins &...

    Open Energy Info (EERE)

    References D. G. Brookins, A. W. Laughlin (1983) Rb-Sr Geochronologic Investigation Of Precambrian Samples From Deep Geothermal Drill Holes, Fenton Hill, New Mexico Additional...

  11. Big Science

    ScienceCinema (OSTI)

    Dr. Thomas Zacharia

    2010-01-08

    Big science seeks big solutions for the most urgent problems of our times. Video courtesy Cray, Inc.

  12. After runaway: The trans-Hill stage of planetesimal growth

    SciTech Connect (OSTI)

    Lithwick, Yoram [Department of Physics and Astronomy, Northwestern University, Evanston, IL 60208, USA and Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA), Evanston, IL 60208 (United States)

    2014-01-01

    When planetesimals begin to grow by coagulation, they first enter an epoch of runaway, during which the biggest bodies grow faster than all the others. The questions of how runaway ends and what comes next have not been answered satisfactorily. We show that runaway is followed by a new stage—the 'trans-Hill stage'—that commences when the bodies that dominate viscous stirring ('big bodies') become trans-Hill, i.e., when their Hill velocity matches the random speed of the small bodies they accrete. Subsequently, the small bodies' random speed grows in lockstep with the big bodies' sizes, such that the system remains in the trans-Hill state. Trans-Hill growth is crucial for determining the efficiency of growing big bodies, as well as their growth timescale and size spectrum. Trans-Hill growth has two sub-stages. In the earlier one, which occurs while the stirring bodies remain sufficiently small, the evolution is collisionless, i.e., collisional cooling among all bodies is irrelevant. The efficiency of forming big bodies in this collisionless sub-stage is very low, ?10? << 1, where ? ? 0.005(a/AU){sup –1} is the ratio between the physical size of a body and its Hill radius. Furthermore, the size spectrum is flat (equal mass per size decade, i.e., q = 4). This collisionless trans-Hill solution explains results from previous coagulation simulations for both the Kuiper Belt and the asteroid belt. The second trans-Hill sub-stage commences once the stirring bodies grow big enough (>?{sup –1} × the size of the accreted small bodies). After that time, collisional cooling among small bodies controls the evolution. The efficiency of forming big bodies rises and the size spectrum becomes more top heavy. Trans-Hill growth can terminate in one of two ways, depending on the sizes of the small bodies. First, mutual accretion of big bodies can become significant and conglomeration proceeds until half of the total mass is converted into big bodies. This mode of growth may explain the observed size distributions of small bodies in the solar system and is explored in our subsequent work. Second, if the big bodies' orbits become separated by their Hill radius, oligarchy commences. This mode likely precedes the formation of fully fledged planets.

  13. UNC Chapel Hill

    SciTech Connect (OSTI)

    2009-10-01

    This is a combined heat and power (CHP) project profile on a 32 MW cogeneration plant at UNC Chapel Hill in North Carolina.

  14. Marijanin Strawberry Hill

    E-Print Network [OSTI]

    Novak, Charles; Roschitz, Alex; Pirnat-Greenberg, Marta

    2012-06-01

    KU students of Croatian, under the supervision of their instructor, Marta Pirnat-Greenberg, interview artist Marijana Grisnik, a painter in the Croatian naive style living in Strawberry Hill, Kansas City. This is the first of a series on Croatian...

  15. Satellites provide the big picture

    E-Print Network [OSTI]

    Famiglietti, JS; Cazenave, A; Eicker, A; Reager, JT; Rodell, M; Velicogna, I

    2015-01-01

    provide the necessary “big-picture” spatial coverage, asprovide the big picture gether, these measurements will

  16. BIG CPU, BIG DATABIG CPU, BIG DATA Solving the World's Toughest

    E-Print Network [OSTI]

    Kaminsky, Alan

    BIG CPU, BIG DATABIG CPU, BIG DATA Solving the World's Toughest Computational Problems with Parallel Computing Alan Kaminsky #12;#12;BIG CPU, BIG DATABIG CPU, BIG DATA Solving the World's Toughest College of Computing and Information Sciences Rochester Institute of Technology #12;ii BIG CPU, BIG DATA

  17. Introduction Big Radio Data

    E-Print Network [OSTI]

    Prodiæ, Aleksandar

    Introduction VLBI Pulsars Summary Big Radio Data Ue-Li Pen CITA, UofT, CIFAR July 3, 2014U. Pen Big Radio Data #12;Introduction VLBI Pulsars Summary Overview History VLBI Processing Future U. Pen Big signal processing U. Pen Big Radio Data #12;Introduction VLBI Pulsars Summary VLBI Current experiments

  18. Dr. Kathleen Hill Associate Professor

    E-Print Network [OSTI]

    Kari, Lila

    ://www.uwo.ca/biology/Faculty/hill/index.htm Genomes DNA Genes to Proteins Kathleen Hill Lab Tour WSC 333 #12;2 The human genome is a multi-volume instruction manual · The GENOME is a multi-volume instruction manual · Each CHROMOSOME is a volume of text letter alphabet A,C,G,T NUCLEOTIDES Our instruction manual can be read in our DNA Genome Chromosome Gene

  19. Big Sky Carbon Atlas

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

    (Acknowledgment to the Big Sky Carbon Sequestration Partnership (BSCSP); see home page at http://www.bigskyco2.org/)

  20. Spittal Hill Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Spittal Hill Wind Farm Jump to: navigation, search Name: Spittal Hill Wind Farm Place: United Kingdom Sector: Wind energy Product: Set up to manage wind projects in the Scotland....

  1. Big Data Begets Big Database Theory University of Washington

    E-Print Network [OSTI]

    Suciu, Dan

    Big Data Begets Big Database Theory Dan Suciu University of Washington 1 Motivation Industry analysts describe Big Data in terms of three V's: volume, velocity, variety. The data is too big to process the technical challenges in big data, but we find no inspiration in the three Vs. Volume is surely nothing new

  2. Big Eddy-Knight

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

    & Reliability Projects Expand Projects Skip navigation links Line Projects Big Eddy-Knight Central Ferry Lower Monumental Grand Coulee Transmission Line Replacement...

  3. DOE to ship 20,000 b/d of Elk Hills oil to SPR

    SciTech Connect (OSTI)

    Not Available

    1992-05-11

    This paper reports that the U.S. department of Energy has decided to ship 20,000 b/d of its Elk Hills field production in California to the Strategic Petroleum Reserve on the Gulf Coast. DOE says prices are too low to sell the high quality Elk Hills Stevens zone oil on the California market. It had warned local buyers it might divert the oil to the Gulf Coast. It says shipping the Elk Hills crude to the SPR site at Big Hill, Tex., will save $2/bbl under the price of comparable crude delivered there for storage in the SPR. Pipeline shipments are to begin June 1 and continue for 4 months, totaling about 2.4 million bbl. DOE may or may not continue the shipments, depending on results of the semiannual Elk Hills crude oil sale in September. Reductions in the existing 12 sales contracts will be prorated among buyers. The 20,000 b/d volume is the most that can be shipped from the West Coast to the Gulf Coast through available pipelines.

  4. Making big data, in theory

    E-Print Network [OSTI]

    Boellstorff, Tom

    2013-01-01

    3.0 Unported License. Making big data, in theory by Tommethods for analyzing big data originate in mid-twentieth2012. “Critical questions for Big Data: Provocations for a

  5. Big Data Privacy Scenarios

    E-Print Network [OSTI]

    Bruce, Elizabeth

    2015-10-01

    This paper is the first in a series on privacy in Big Data. As an outgrowth of a series of workshops on the topic, the Big Data Privacy Working Group undertook a study of a series of use scenarios to highlight the challenges ...

  6. Hands-on tools for nanotechnology Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill,

    E-Print Network [OSTI]

    Falvo, Michael

    Carolina at Chapel Hill, Chapel Hill, North Carolina 27599 S. Paulson and M. Falvo Department of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599 A. Helser 3rdTech Corp, Chapel Hill, North Carolina 27516 R. M. Taylor II Department of Computer Science, University

  7. Creating Mountains out of Mole Hills: Automatic Identification of Hills and Ranges Using Morphometric Analysis

    E-Print Network [OSTI]

    1 Creating Mountains out of Mole Hills: Automatic Identification of Hills and Ranges Using that comprise them (that mountain ranges are a collection of clustered yet individually identifiable mountains for automatically discerning mountain ranges as well as the smaller hills that constitute them. A mountainous region

  8. Record Hill | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS Report UrlNM-b < RAPID‎Wind FarmReFuelRecentstressRecord Hill

  9. Glacier Hills | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View New Pages RecentPlant <Silver PeakGinerHills Jump to: navigation,

  10. Laurel Hill | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History ViewInformationWinds Jump to:Laredo Ridge WindHill Jump to:

  11. Cedro Hill | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButte County,Camilla,Thermal Gradient Holes JumpHills Wind Facility

  12. Pleasant Hill Leadership Institute Founded in 1925, Pleasant Hill Baptist Church has worked for decades to facilitate the educational,

    E-Print Network [OSTI]

    Aazhang, Behnaam

    Pleasant Hill Leadership Institute Founded in 1925, Pleasant Hill Baptist, and spiritual leadership of the Fifth Ward community. They are engaged in a variety, amongst other population groups. In many ways, Pleasant Hill Baptist Church acts

  13. Independent Oversight Review, Hanford Site CH2M Hill Plateau...

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

    CH2M Hill Plateau Remediation Company - November 2012 Independent Oversight Review, Hanford Site CH2M Hill Plateau Remediation Company - November 2012 November 2012 Review of the...

  14. Big Questions: Missing Antimatter

    ScienceCinema (OSTI)

    Lincoln, Don

    2014-08-07

    Einstein's equation E = mc2 is often said to mean that energy can be converted into matter. More accurately, energy can be converted to matter and antimatter. During the first moments of the Big Bang, the universe was smaller, hotter and energy was everywhere. As the universe expanded and cooled, the energy converted into matter and antimatter. According to our best understanding, these two substances should have been created in equal quantities. However when we look out into the cosmos we see only matter and no antimatter. The absence of antimatter is one of the Big Mysteries of modern physics. In this video, Fermilab's Dr. Don Lincoln explains the problem, although doesn't answer it. The answer, as in all Big Mysteries, is still unknown and one of the leading research topics of contemporary science.

  15. Rutgers Workshop on Big Data: Theoretical Foundation of Big Data

    E-Print Network [OSTI]

    Jornsten, Rebecka

    Rutgers Workshop on Big Data: Theoretical Foundation of Big Data Department of Statistics:05pm: Welcome and Introduction of Big Data Research at Rutgers Regina Liu, Chair, Department, Carnegie Mellon University "On Data Parallelism and Model Parallelism for Large Scale Machine Learning" 4

  16. Big data and the future of ecology

    E-Print Network [OSTI]

    2013-01-01

    N. 2010. Big science and big data in biology: from theCONCEPTS AND QUESTIONS Big data and the future of ecologyof the information age and “big data” across all sectors of

  17. Big Bang Nucleosynthesis

    E-Print Network [OSTI]

    Keith A. Olive

    1997-12-11

    The concordance of standard big bang nucleosynthesis theory and the related observations of the light element isotopes (including some new higher \\he4 abundances) will be reviewed. Implications of BBN on chemical evolution, dark matter and constraints on particle properties will be discussed.

  18. University of North Carolina at Chapel Hill The University of North Carolina at Chapel Hill Department of

    E-Print Network [OSTI]

    Rowe, Daniel B.

    University of North Carolina at Chapel Hill The University of North Carolina at Chapel Hill Chen Weili Lin§ Daniel B. Rowe¶ Bradley G. Peterson The University of North Carolina at Chapel Hill, hzhu@bios.unc.edu The University of North Carolina at Chapel Hill, liyimei

  19. Semantic Interoperability for Big Data

    E-Print Network [OSTI]

    Baclawski, Kenneth B.

    Semantic Interoperability for Big Data Ken Baclawski College of Computer and Information Science Northeastern University #12;August 11, 2014 2 Emergence of Big Data The phenomenon was studied in the early based on the information scarcity model. #12;August 11, 2014 3 Characteristics of Big Data Large

  20. MICROSOFT PRESENTS FROM BIG DATA

    E-Print Network [OSTI]

    Chaudhuri, Surajit

    1 MICROSOFT PRESENTS FROM BIG DATA TO SMART DATA: Using data to drive personalized brand January 22, 2014 ABSTRACT This white paper looks at Big Data from the marketing perspective, running DO WITH IT NEARLY EVERYONE IN MARKETING TODAY SHOULD BE FAMILIAR WITH THE CONCEPT OF BIG DATA

  1. Millstone Hill Thomson Scatter Results for 1969

    E-Print Network [OSTI]

    Evans, J. V.

    1974-07-23

    This report summarizes the results for the electron-density distribution, electron and ion temperatures, and vertical ionization fluxes in the F-region obtained during 1969 using the Millstone Hill (42.6°N, 71.5°W) Thomson ...

  2. Hills Creek Powerhouse Turbine and Unit Rehabilitation

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

    and oxygen content suitable for fish, require the project to discharge a minimum of 300 cfs throughout its entire operating head range. The Francis runners at Hills Creek have...

  3. Hill Air Force Base Energy Performance Contract 

    E-Print Network [OSTI]

    Leach, M. D.

    1996-01-01

    This paper describes a basewide energy performance contract in progress at Hill Air Force Base (AFB) near Ogden, Utah. This performance contract differs from many performance contracts in that energy conservation measures (ECMs) which provide short...

  4. Millstone Hill Thomson Scatter Results for 1965

    E-Print Network [OSTI]

    Evans, J. V.

    1969-12-08

    This report presents F-region electron densities, and electron and ion temperatures observed during the year 1965 at the Millstone Hill Radar Observatory (42.6°N. 71.5“W) by the UHF Thomson (incoherent) scatter radar. The ...

  5. Millstone Hill Thomson Scatter Results for 1964

    E-Print Network [OSTI]

    Evans, J. V.

    1967-11-15

    Thomson scatter (incoherent backscatter) observations of the ionosphere were made at Millstone Hill at a wavelength of 68 cm during 1964, for 30-hour periods every two weeks. These data have been employed to derive the ...

  6. Black Hills Energy- Solar Power Program

    Broader source: Energy.gov [DOE]

    All incentive payments are subject to the availability of funds and a pre-installation site inspection. Black Hills Energy has established participation caps for each tier. The status of funding ...

  7. Deep Web Web Deep Web Web

    E-Print Network [OSTI]

    Deep Web 100872 Deep Web Web Deep Web Web Web Deep Web Deep Web TP391 A Uncertain Schema Matching in Deep Web Integration Service JIANG Fang-Jiao MENG Xiao-Feng JIA Lin-Lin (School of Information, Renmin University of China, Beijing, 100872) Abstract: With increasing of Deep Web, providing

  8. Small Particles, Big Impact

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque|Sensitive Species3performed StevenSmall Particles, Big Impact

  9. EA-118 Hill County Electric Cooperative, Inc. | Department of...

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

    energy to Canada. EA-118 Hill County.pdf More Documents & Publications PP-118 Hill County Electric Cooperative Inc EA-209 Cargill-Alliant, LLC EA-211 DTE Energy Trading, Inc...

  10. EA-1824: Record Hill Wind Project in Roxbury, ME | Department...

    Office of Environmental Management (EM)

    to Record Hill Wind, LLC for Construction of a Wind Energy Project in Roxbury, Maine July 11, 2011 EA-1824: Finding of No Significant Impact Loan Guarantee to Record Hill...

  11. Contemporizing Performance: Mexican California and the Pádua Hills Theatre

    E-Print Network [OSTI]

    Arrizón, Alicia

    1993-01-01

    The Padua Hills Theatre ÁGUILA-NOPAL EAGLE AND CACTUS THE FEnotes of "Águila y Nopal. "Padua Hills Theatre Collection atAmador directed Águila y nopal (Eagle and Cactus, Figure

  12. Los Alamos National Laboratory Investigates Fenton Hill to Support...

    Office of Environmental Management (EM)

    Investigates Fenton Hill to Support Future Land Use Los Alamos National Laboratory Investigates Fenton Hill to Support Future Land Use July 29, 2014 - 12:00pm Addthis Sampling...

  13. DOE Settles Elk Hills Equity Claims | Department of Energy

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

    Settles Elk Hills Equity Claims DOE Settles Elk Hills Equity Claims April 22, 2011 - 4:58pm Addthis The Department of Energy announced today that it has settled a longstanding...

  14. Elk Hills: still out in front

    SciTech Connect (OSTI)

    Rintoul, B.

    1982-07-01

    The producing history and capacity of the Elk Hills Oil and Gas Fields in California are described. Developments in the field are discussed, including waterflooding. The field presently produces ca. 160,000 bpd of oil and 350 mmcfd of natural gas. Gas liquids production totals ca. 683,000 gal/day. Waterflooding is expected to pay an increasingly important role in the production of crude oil. Steaming techniques also are viewed with favor after analysis of results of pilot projects. Exploratory develoment in Elk Hills also continues.

  15. Escaping the Big Rip?

    E-Print Network [OSTI]

    Mariam Bouhmadi-Lopez; Jose A. Jimenez Madrid

    2004-04-27

    We discuss dark energy models which might describe effectively the actual acceleration of the universe. More precisely, for a 4-dimensional Friedmann-Lema\\^{\\i}tre-Robertson-Walker (FLRW) universe we consider two situations: First of them, we model dark energy by phantom energy described by a perfect fluid satisfying the equation of state $P=(\\beta-1)\\rho$ (with $\\beta<0$ and constant). In this case the universe reaches a ``Big Rip'' independently of the spatial geometry of the FLRW universe. In the second situation, the dark energy is described by a phantom (generalized) Chaplygin gas which violates the dominant energy condition. Contrary to the previous case, for this material content a FLRW universe would never reach a ``big rip'' singularity (indeed, the geometry is asymptotically de Sitter). We also show how this dark energy model can be described in terms of scalar fields, corresponding to a minimally coupled scalar field, a Born-Infeld scalar field and a generalized Born-Infeld scalar field. Finally, we introduce a phenomenologically viable model where dark energy is described by a phantom generalized Chaplygin gas.

  16. Big, Deep, and Smart Data in Energy Materials Research: Atomic...

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

    by STM. Finally, I explore the opportunities for atomically resolved imaging and property data mining of functional oxides extending beyond classical order parameter descriptions,...

  17. Millstone Hill Thomson Scatter Results for 1971

    E-Print Network [OSTI]

    Evans, J. V.

    1978-03-24

    During 1971, the incoherent scatter radar at Millstone Hill (42.6°N, 71.5°W) was employed to measure the electron density, electron and ion temperatures, and the vertical velocity of the 0[superscript +] ions in the F-region ...

  18. Deep Lysimeter

    DOE Patents [OSTI]

    Hubbell, Joel M. (Idaho Falls, ID); Sisson, James B. (Idaho Falls, ID)

    2004-06-01

    A deep lysimeter including a hollow vessel having a chamber, a fill conduit extending into the chamber through apertures, a semi-permeable member mounted on the vessel and in fluid communication with the fill conduit, and a line connection for retrieving the lysimeter.

  19. Debunking Six Big Myths about Nuclear Weapons

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

    Debunking Six Big Myths about Nuclear Weapons National Security Science Latest Issue:December 2014 All Issues submit Debunking six big myths about nuclear weapons Are nuclear...

  20. Big Iron for Big Data: An Unnatural Alliance?

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O OLaura| National2.11DESERTWaterSharingBeyondBang or BigBigBig

  1. First Secretarial Visit to the Big Hill SPR Site | 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:FinancingPetroleum12, 2015Executive Order14,EnergyFinancingWIPP | DepartmentEnergy

  2. BIG DATA IMPLEMENTATION COMMITTEE Submitted to Provost Hexter

    E-Print Network [OSTI]

    Ullrich, Paul

    BIG DATA IMPLEMENTATION COMMITTEE REPORT Submitted to Provost Hexter February 22, 2013 #12..................................................................................................................................... 5 1. Big Data, Big Challenges, Big Opportunities ......................................................................................... 5 2. UC Davis and Big Data: State of the Art and Current Needs

  3. Physics: the big black box Mirror conjecture

    E-Print Network [OSTI]

    Cavalieri, Renzo

    Physics: the big black box Math Mirror conjecture A look into the mirror (I) an overview of Mirror Symmetry #12;Physics: the big black box Math Mirror conjecture Outline 1 Physics: the big black box 2 Math Symmetry #12;Physics: the big black box Math Mirror conjecture A slogan Mirror Symmetry is a correspondence

  4. Big Data Analytics in Financial Statement

    E-Print Network [OSTI]

    ;Demographic and Weather Big Data · OfficeMax personalizes online landing pages based on customerBig Data Analytics in Financial Statement Audits Min Cao Roman Chychyla Trevor Stewart February 26th, 2015 #12;Big Data Analytics · Big Data analytics is the process of inspecting, cleaning

  5. The big picture Victoria University of Wellington

    E-Print Network [OSTI]

    Visser, Matt

    Outline Abstract Basics The big picture Victoria University of Wellington Te Whare W¯ananga o te Overview of modern cosmology #12;Outline Abstract Basics The big picture Outline: Abstract Basics The big picture Matt Visser Overview of modern cosmology #12;Outline Abstract Basics The big picture Abstract: VUW

  6. Big Sky Trust Fund (Montana)

    Broader source: Energy.gov [DOE]

    The Big Sky Trust Fund reimburses expenses incurred in the purchase, leasing, or relocation of real assets for direct use of the assisted business or employee training costs. A local or tribal...

  7. Making big data, in theory

    E-Print Network [OSTI]

    Boellstorff, Tom

    2013-01-01

    for this work. Notes 1. Curran, 2012, pp. 34, 60. 2. Peng etin-big-data/, accessed 5 July 2013. James Curran, 2012. “Internet history,” In: James Curran, Natalie Fenton, and Des

  8. EA-1581: Sand Hills Wind Project, Wyoming

    Broader source: Energy.gov [DOE]

    The Bureau of Land Management, with DOE’s Western Area Power Administration as a cooperating agency, was preparing this EA to evaluate the environmental impacts of a proposal to construct, operate, and maintain the Sand Hills Wind Energy Facility on private and federal lands in Albany County, Wyoming. If the proposed action had been implemented, Western would have interconnected the proposed facility to an existing transmission line. This project has been canceled.

  9. Big Bang Nucleosynthesis: 2015

    E-Print Network [OSTI]

    Cyburt, Richard H; Olive, Keith A; Yeh, Tsung-Han

    2015-01-01

    Big-bang nucleosynthesis (BBN) describes the production of the lightest nuclides via a dynamic interplay among the four fundamental forces during the first seconds of cosmic time. We briefly overview the essentials of this physics, and present new calculations of light element abundances through li6 and li7, with updated nuclear reactions and uncertainties including those in the neutron lifetime. We provide fits to these results as a function of baryon density and of the number of neutrino flavors, N_nu. We review recent developments in BBN, particularly new, precision Planck cosmic microwave background (CMB) measurements that now probe the baryon density, helium content, and the effective number of degrees of freedom, n_eff. These measurements allow for a tight test of BBN and of cosmology using CMB data alone. Our likelihood analysis convolves the 2015 Planck data chains with our BBN output and observational data. Adding astronomical measurements of light elements strengthens the power of BBN. We include a ...

  10. Improved oil recovery using horizontal wells at Elk Hills, California

    SciTech Connect (OSTI)

    Gangle, F.J.; Schultz, K.L.; McJannet, G.S.; Ezekwe, N.

    1995-03-01

    Eight horizontal wells have been drilled and completed in a steeply dipping Stevens sand reservoir in the Elk Hills field, Kern County, California. The subject reservoir, called the Stevens 26R, is a turbidite channel sand deposit one mile wide, three miles long, and one mile deep. Formation beds have a gross thickness up to 1,500 feet and dips as high as 60 degrees on the flanks. The original oil column of 1,810 feet has been pulled down to 200 feet by continual production since 1976. The reservoir management operating strategy has been full pressure maintenance by crestal gas injection since 1976. The steep dip of the formation makes gravity drainage the dominant drive mechanism. Additionally, improved recovery is coming from cycling dry gas through the large secondary gas cap region. The prudent placement of the horizontal wells above the oil/water contact promises to improve oil recovery and extend the operating life of the reservoir. Field results are given to compare the performance of the horizontal wells with the conventional wells. The horizontal wells produce at higher rates, lower draw downs, and lower gas/oil ratio which will extend the life of the project and result in higher recovery.

  11. Big Sky Carbon Sequestration Partnership

    SciTech Connect (OSTI)

    Susan Capalbo

    2005-12-31

    The Big Sky Carbon Sequestration Partnership, led by Montana State University, is comprised of research institutions, public entities and private sectors organizations, and the Confederated Salish and Kootenai Tribes and the Nez Perce Tribe. Efforts under this Partnership in Phase I are organized into four areas: (1) Evaluation of sources and carbon sequestration sinks that will be used to determine the location of pilot demonstrations in Phase II; (2) Development of GIS-based reporting framework that links with national networks; (3) Design of an integrated suite of monitoring, measuring, and verification technologies, market-based opportunities for carbon management, and an economic/risk assessment framework; (referred to below as the Advanced Concepts component of the Phase I efforts) and (4) Initiation of a comprehensive education and outreach program. As a result of the Phase I activities, the groundwork is in place to provide an assessment of storage capabilities for CO{sub 2} utilizing the resources found in the Partnership region (both geological and terrestrial sinks), that complements the ongoing DOE research agenda in Carbon Sequestration. The geology of the Big Sky Carbon Sequestration Partnership Region is favorable for the potential sequestration of enormous volume of CO{sub 2}. The United States Geological Survey (USGS 1995) identified 10 geologic provinces and 111 plays in the region. These provinces and plays include both sedimentary rock types characteristic of oil, gas, and coal productions as well as large areas of mafic volcanic rocks. Of the 10 provinces and 111 plays, 1 province and 4 plays are located within Idaho. The remaining 9 provinces and 107 plays are dominated by sedimentary rocks and located in the states of Montana and Wyoming. The potential sequestration capacity of the 9 sedimentary provinces within the region ranges from 25,000 to almost 900,000 million metric tons of CO{sub 2}. Overall every sedimentary formation investigated has significant potential to sequester large amounts of CO{sub 2}. Simulations conducted to evaluate mineral trapping potential of mafic volcanic rock formations located in the Idaho province suggest that supercritical CO{sub 2} is converted to solid carbonate mineral within a few hundred years and permanently entombs the carbon. Although MMV for this rock type may be challenging, a carefully chosen combination of geophysical and geochemical techniques should allow assessment of the fate of CO{sub 2} in deep basalt hosted aquifers. Terrestrial carbon sequestration relies on land management practices and technologies to remove atmospheric CO{sub 2} where it is stored in trees, plants, and soil. This indirect sequestration can be implemented today and is on the front line of voluntary, market-based approaches to reduce CO{sub 2} emissions. Initial estimates of terrestrial sinks indicate a vast potential for increasing and maintaining soil Carbon (C) on rangelands, and forested, agricultural, and reclaimed lands. Rangelands can store up to an additional 0.05 mt C/ha/yr, while the croplands are on average four times that amount. Estimates of technical potential for soil sequestration within the region in cropland are in the range of 2.0 M mt C/yr over 20 year time horizon. This is equivalent to approximately 7.0 M mt CO{sub 2}e/yr. The forestry sinks are well documented, and the potential in the Big Sky region ranges from 9-15 M mt CO{sub 2} equivalent per year. Value-added benefits include enhanced yields, reduced erosion, and increased wildlife habitat. Thus the terrestrial sinks provide a viable, environmentally beneficial, and relatively low cost sink that is available to sequester C in the current time frame. The Partnership recognizes the critical importance of measurement, monitoring, and verification technologies to support not only carbon trading but all policies and programs that DOE and other agencies may want to pursue in support of GHG mitigation. The efforts in developing and implementing MMV technologies for geological and terrestrial sequestration re

  12. 3D Model of the McGinness Hills Geothermal Area

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

    Faulds, James E.

    2013-12-31

    The McGinness Hills geothermal system lies in a ~8.5 km wide, north-northeast trending accommodation zone defined by east-dipping normal faults bounding the Toiyabe Range to the west and west-dipping normal faults bounding the Simpson Park Mountains to the east. Within this broad accommodation zone lies a fault step-over defined by north-northeast striking, west-dipping normal faults which step to the left at roughly the latitude of the McGinness Hills geothermal system. The McGinness Hills 3D model consists of 9 geologic units and 41 faults. The basal geologic units are metasediments of the Ordovician Valmy and Vininni Formations (undifferentiated in the model) which are intruded by Jurassic granitic rocks. Unconformably overlying is a ~100s m-thick section of Tertiary andesitic lava flows and four Oligocene-to-Miocene ash-flow tuffs: The Rattlesnake Canyon Tuff, tuff of Sutcliffe, the Cambell Creek Tuff and the Nine Hill tuff. Overlying are sequences of pre-to-syn-extensional Quaternary alluvium and post-extensional Quaternary alluvium. 10-15º eastward dip of the Tertiary stratigraphy is controlled by the predominant west-dipping fault set. Geothermal production comes from two west dipping normal faults in the northern limb of the step over. Injection is into west dipping faults in the southern limb of the step over. Production and injection sites are in hydrologic communication, but at a deep level, as the northwest striking fault that links the southern and northern limbs of the step-over has no permeability.

  13. 3D Model of the McGinness Hills Geothermal Area

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

    Faulds, James E.

    The McGinness Hills geothermal system lies in a ~8.5 km wide, north-northeast trending accommodation zone defined by east-dipping normal faults bounding the Toiyabe Range to the west and west-dipping normal faults bounding the Simpson Park Mountains to the east. Within this broad accommodation zone lies a fault step-over defined by north-northeast striking, west-dipping normal faults which step to the left at roughly the latitude of the McGinness Hills geothermal system. The McGinness Hills 3D model consists of 9 geologic units and 41 faults. The basal geologic units are metasediments of the Ordovician Valmy and Vininni Formations (undifferentiated in the model) which are intruded by Jurassic granitic rocks. Unconformably overlying is a ~100s m-thick section of Tertiary andesitic lava flows and four Oligocene-to-Miocene ash-flow tuffs: The Rattlesnake Canyon Tuff, tuff of Sutcliffe, the Cambell Creek Tuff and the Nine Hill tuff. Overlying are sequences of pre-to-syn-extensional Quaternary alluvium and post-extensional Quaternary alluvium. 10-15º eastward dip of the Tertiary stratigraphy is controlled by the predominant west-dipping fault set. Geothermal production comes from two west dipping normal faults in the northern limb of the step over. Injection is into west dipping faults in the southern limb of the step over. Production and injection sites are in hydrologic communication, but at a deep level, as the northwest striking fault that links the southern and northern limbs of the step-over has no permeability.

  14. HDR Geothermal Energy: Important Lessons From Fenton Hill

    National Nuclear Security Administration (NNSA)

    Stanford, California, February 9-11, 2009 SGP-TR-187 HOT DRY ROCK GEOTHERMAL ENERGY: IMPORTANT LESSONS FROM FENTON HILL Donald W. Brown Los Alamos National Laboratory...

  15. Surface Gas Sampling At Fenton Hill HDR Geothermal Area (Grigsby...

    Open Energy Info (EERE)

    Surface Gas Sampling At Fenton Hill HDR Geothermal Area (Grigsby, Et Al., 1983) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Surface Gas...

  16. Surface Gas Sampling At Fenton Hill HDR Geothermal Area (Goff...

    Open Energy Info (EERE)

    Surface Gas Sampling At Fenton Hill HDR Geothermal Area (Goff & Janik, 2002) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Surface Gas Sampling...

  17. WIND DATA REPORT Camden Hills Regional High School, ME

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Camden Hills Regional High School, ME December 1, 2006 ­ February 28, 2007...................................................................................................................... 7 Wind Speed Time Series............................................................................................................. 8 Wind Speed Distributions

  18. WIND DATA REPORT Camden Hills Regional High School, ME

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Camden Hills Regional High School, ME March 1st 2006 to May 31th 2006 Prepared.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  19. WIND DATA REPORT Camden Hills Regional High School, ME

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Camden Hills Regional High School, ME September 1st 2006 to November 30th 2006.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  20. WIND DATA REPORT Camden Hills Regional High School, ME

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Camden Hills Regional High School, ME December 1st 2005 to February 28th 2006.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  1. WIND DATA REPORT Camden Hills Regional High School, ME

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Camden Hills Regional High School, ME June 1st 2006 to August 31th 2006 Prepared.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  2. Modeling-Computer Simulations At Fenton Hill HDR Geothermal Area...

    Open Energy Info (EERE)

    Modeling-Computer Simulations At Fenton Hill HDR Geothermal Area (Brown & DuTeaux, 1997) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity:...

  3. Compound and Elemental Analysis At Fenton Hill HDR Geothermal...

    Open Energy Info (EERE)

    Geothermal Area (Rao, Et Al., 1996) Exploration Activity Details Location Fenton Hill HDR Geothermal Area Exploration Technique Compound and Elemental Analysis Activity Date 1996 -...

  4. Isotopic Analysis- Fluid At Fenton Hill HDR Geothermal Area ...

    Open Energy Info (EERE)

    Geothermal Area (Rao, Et Al., 1996) Exploration Activity Details Location Fenton Hill HDR Geothermal Area Exploration Technique Isotopic Analysis- Fluid Activity Date 1996 - 1996...

  5. Petrography Analysis At Fenton Hill HDR Geothermal Area (Laughlin...

    Open Energy Info (EERE)

    Petrography Analysis At Fenton Hill HDR Geothermal Area (Laughlin, Et Al., 1983) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Petrography...

  6. PP-118 Hill County Electric Cooperative Inc | Department of Energy

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

    Documents & Publications EA-118 Hill County Electric Cooperative, Inc. PP-305 Montana Alberta Tie Ltd Application for presidential permit OE Docket No. PP-305 Montana Alberta Tie...

  7. CH2M HILL Plateau Remediation Company are

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

    HILL Plateau Remediation Company are safely removing contaminated equipment from the Plutonium Finishing Plant once used to produce plutonium during the Cold War at the Hanford...

  8. A Big Data Approach to Analyzing Market Volatility

    E-Print Network [OSTI]

    Wu, Kesheng

    2014-01-01

    A Big Data Approach to Analyzing Market Volatility KeshengUniversity of California. A Big Data Approach to Analyzingefforts to handle the big data problem. However, the

  9. Marquam Hill Campus OHSU's central campus, Marquam Hill, is Portland's largest medical destination.

    E-Print Network [OSTI]

    Chapman, Michael S.

    . The intersection of SW Moody Ave & SW Gibbs St alone is host to an aerial tram, pedestrian bridge, streetcar, bike for Students OHSU Transportation & Parking Mail code: PP22A 3181 SW Sam Jackson Park Road Portland, OR 97239 Waterfront (SW Moody Ave & Gibbs St) to Marquam Hill (OHSU Kohler Pavilion) in 5 minutes. The tram operates

  10. Hills, Minnesota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy Resources Jump to:Hershey,High-TemperatureHiles,Hillcrest, New York:IncHills,

  11. Fenton Hill Hdr Area | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, AlabamaETEC GmbHFarinello Geothermal PowerGuidelines | OpenFediRenewableFenton Hill

  12. Sou Hills Geothermal Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing Capacity forSiliciumEnergy Inc JumpPennsylvania: EnergySonnenSou Hills

  13. Long Hill Energy Ltd | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavyAgency (IRENA) JumpLiterature Review Home Qinsun'sHill Energy Ltd

  14. Red Hills Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS Report UrlNM-b < RAPID‎WindRecycleBank Jump to:Hills Wind Farm

  15. Steamboat Hills Geothermal Facility | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS ReportEurope GmbHSoloPageBefore the SenateHills Geothermal Facility

  16. Sunny Hill Energy | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS ReportEuropeEnergy Information RecentSundropEnergy JumpHill

  17. Wilmont Hills Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThinWarsaw,WhatUtilityRateNamingHelperVirginia:WillowWilmont Hills

  18. Black Hills Power Inc | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental JumpInformationBio-Gas Technologies, LLCMichigan:Earth, Wisconsin:Black Hills

  19. Goodnoe Hills Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View New Pages RecentPlantMagma Energy GroupDOESwitzerland)Goodnoe Hills

  20. Mendota Hills Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource HistoryScenariosMarysville MtMedical Area Total Egy Plt IncshallowHills Wind Farm

  1. Arbor Hills Biomass Facility | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowaWisconsin: EnergyYork Jump| OpenExploration At TheWindAquillianHills

  2. Cedar Hills Wind Facility | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButte County,Camilla,Thermal Gradient Holes JumpHills Wind Facility Jump to:

  3. Chandler Hills Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButte County,Camilla,Thermal Gradient HolesCentral,Chandler Hills Wind Farm Jump

  4. Hills Creek Powerhouse Turbine and Unit Rehabilitation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (JournalvivoHigh energyHighland View school HighlandHydrogen andHighlyHills

  5. Deep dermatophytosis caused by

    E-Print Network [OSTI]

    Warycha, Melanie A; Leger, Marie; Tzu, Julia; Kamino, Hideko; Stein, Jennifer

    2011-01-01

    PubMed ] 5. Gong JQ, et al. Deep dermatophytosis caused bymolecular diagnosis of deep localized cutaneous infectionPubMed ] 7. Chastain MA, et al. Deep dermatophytosis: report

  6. Deep Research Submarine

    E-Print Network [OSTI]

    Woertz, Jeff

    2002-02-01

    The Deep Sea Research Submarine (Figure 1) is a modified VIRGINIA Class Submarine that incorporates a permanently installed Deep Sea Operations Compartment (Figure 2). Table 1 summarizes the characteristics of the Deep ...

  7. City of Castle Hills State of the City and Recommendations 

    E-Print Network [OSTI]

    Bright, Elise; Croxell, Christina

    2003-01-01

    stream_source_info 2006_CastleHills.pdf.txt stream_content_type text/plain stream_size 250 Content-Encoding ISO-8859-1 stream_name 2006_CastleHills.pdf.txt Content-Type text/plain; charset=ISO-8859-1 ...

  8. Becky Hill Green Mountain DNA Conference LT-DNA Analysis

    E-Print Network [OSTI]

    Becky Hill ­ Green Mountain DNA Conference LT-DNA Analysis July 26, 2010 http of the Chief Medical Examiner, NYC Green Mountain DNA Conference Burlington, VT July 26, 2010 Low Template (LT generally aim for 0.5-2 ng 100 pg template 5 pg template #12;Becky Hill ­ Green Mountain DNA Conference LT

  9. Hill SyStem PlaStic mulcHed

    E-Print Network [OSTI]

    Liskiewicz, Maciej

    a Hill SyStem PlaStic mulcHed Strawberry Production Guide for colder areaS #12;#12;i Trade names do they intend or imply discrimination against those not mentioned. Hill SyStem PlaStic mulcHed ..................................................................27 Consider Fall Laying of Extra Plastic Mulch

  10. Big data : evolution, components, challenges and opportunities

    E-Print Network [OSTI]

    Zarate Santovena, Alejandro

    2013-01-01

    This work reviews the evolution and current state of the "Big Data" industry, and to understand the key components, challenges and opportunities of Big Data and analytics face in today business environment, this is analyzed ...

  11. THE BIG PICTURE: A "FISHERY SYSTEM APPROACH"

    E-Print Network [OSTI]

    Charles, Anthony

    THE BIG PICTURE: A "FISHERY SYSTEM APPROACH" LINKS FISHERY MANAGEMENT AND BIODIVERSITY Anthony economy and coastal communities. Accordingly, there is a need to move toward a "big picture" perspective

  12. How to Lie with Big Data (and/or big computations)

    E-Print Network [OSTI]

    Stark, Philip B.

    How to Lie with Big Data (and/or big computations) Philip B. Stark Department of Statistics experimental design doesn't matter #12;What's new in Big Data? · design still matters; experiments versus flu trends http://bits.blogs.nytimes.com/2014/03/28/ google-flu-trends-the-limits-of-big-data/ #12

  13. Big Things from Small Beginnings

    Broader source: Energy.gov [DOE]

    Slide Presentation given by D. Bullen on behalf of Peter S. Winokur, Ph.D., Chairman Defense Nuclear Facilities Safety Board; prepared by D. Bullen, D. Owen, J. MacSleyne, and D. Minnema. Big Things from Small Beginnings. How seemingly unimportant situations can lead to significant, undesirable events.

  14. Big Explosives Experimental Facility - BEEF

    ScienceCinema (OSTI)

    None

    2015-01-07

    The Big Explosives Experimental Facility or BEEF is a ten acre fenced high explosive testing facility that provides data to support stockpile stewardship and other national security programs. At BEEF conventional high explosives experiments are safely conducted providing sophisticated diagnostics such as high speed optics and x-ray radiography.

  15. Neutrinos and Big Bang Nucleosynthesis

    E-Print Network [OSTI]

    A. D. Dolgov

    2002-03-18

    The role of neutrinos in big bang nucleosynthesis is discussed. The bounds on the number of neutrino families, neutrino degeneracy, parameters of neutrino oscillations are presented. A model of chemically inhomogeneous, while energetically smooth, universe created by inhomogeneous cosmological neutrino asymmetry is described. Nucleosynthesis limits on production of right-handed neutrinos are considered.

  16. Big Explosives Experimental Facility - BEEF

    SciTech Connect (OSTI)

    None

    2014-10-31

    The Big Explosives Experimental Facility or BEEF is a ten acre fenced high explosive testing facility that provides data to support stockpile stewardship and other national security programs. At BEEF conventional high explosives experiments are safely conducted providing sophisticated diagnostics such as high speed optics and x-ray radiography.

  17. McGraw-Hill 2008 Yearbook of Science & Technology The McGraw-Hill Companies "Solitons in Electrical Networks"

    E-Print Network [OSTI]

    Ricketts, David S.

    of wave energy within the pulse shape without dispersion and exhibit remarkable nonlinear dynamics dispersion of energy, the light-wave solitons can carry a large amount of digital information in longMcGraw-Hill 2008 Yearbook of Science & Technology © The McGraw-Hill Companies "Solitons

  18. Big Data in Technology Services Mathew Benwell

    E-Print Network [OSTI]

    Balasuriya, Sanjeeva

    Big Data in Technology Services #12;Presenter Mathew Benwell Security Specialist Click here to watch online video University of Adelaide 2 #12;What is Big Data ­ 3 V's University of Adelaide 3 #12;Our Big Data Platform ­ Splunk> · The most asked question! Where did the name Splunk come from

  19. Rolling the Dice on Big Data Department of Mathematics

    E-Print Network [OSTI]

    Ipsen, Ilse

    Rolling the Dice on Big Data Ilse Ipsen Department of Mathematics #12;The Economist, 27 February on Big Data What is "Big"? #12;Measuring Units 1 byte 1 character 10 bytes 1 word 100 bytes 1 sentence #12;Rolling the Dice on Big Data Data #12;Rolling the Dice on Big Data #12;Rolling the Dice on Big

  20. Big Bang Day : The Great Big Particle Adventure - 3. Origins

    ScienceCinema (OSTI)

    None

    2011-04-25

    In this series, comedian and physicist Ben Miller asks the CERN scientists what they hope to find. If the LHC is successful, it will explain the nature of the Universe around us in terms of a few simple ingredients and a few simple rules. But the Universe now was forged in a Big Bang where conditions were very different, and the rules were very different, and those early moments were crucial to determining how things turned out later. At the LHC they can recreate conditions as they were billionths of a second after the Big Bang, before atoms and nuclei existed. They can find out why matter and antimatter didn't mutually annihilate each other to leave behind a Universe of pure, brilliant light. And they can look into the very structure of space and time - the fabric of the Universe

  1. Jobtong Deep Web Web""Surface WebDeep Web

    E-Print Network [OSTI]

    Jobtong Deep Web Web Web Web""Surface WebDeep Web Surface WebDeep Web Web[1] 20007BrightPlanet.comDeep Web[2] Web43,000-96,000Web7,500TB(Surface Web500) UIUC5Deep Web[3]2004Deep Web 307,000366,000-535,000"" Deep Web""Google Yahoo32%Deep Web WAMDMWebDeep WebJobtong Deep Web (Jobtong) Jobtong(, http

  2. Learning Deep Generative Ruslan Salakhutdinov

    E-Print Network [OSTI]

    Toronto, University of

    Learning Deep Generative Models Ruslan Salakhutdinov Departments of Computer Science reserved Keywords deep learning, deep belief networks, deep Boltzmann machines, graphical models Abstract suggest that building such systems requires models with deep architectures that involve many layers

  3. Coring in deep hardrock formations

    SciTech Connect (OSTI)

    Drumheller, D.S.

    1988-08-01

    The United States Department of Energy is involved in a variety of scientific and engineering feasibility studies requiring extensive drilling in hard crystalline rock. In many cases well depths extend from 6000 to 20,000 feet in high-temperature, granitic formations. Examples of such projects are the Hot Dry Rock well system at Fenton Hill, New Mexico and the planned exploratory magma well near Mammoth Lakes, California. In addition to these programs, there is also continuing interest in supporting programs to reduce drilling costs associated with the production of geothermal energy from underground sources such as the Geysers area near San Francisco, California. The overall progression in these efforts is to drill deeper holes in higher temperature, harder formations. In conjunction with this trend is a desire to improve the capability to recover geological information. Spot coring and continuous coring are important elements in this effort. It is the purpose of this report to examine the current methods used to obtain core from deep wells and to suggest projects which will improve existing capabilities. 28 refs., 8 figs., 2 tabs.

  4. Town of Kill Devil Hills- Wind Energy Systems Ordinance

    Broader source: Energy.gov [DOE]

    In October 2007, the town of Kill Devil Hills adopted an ordinance to regulate the use of wind-energy systems. The ordinance directs any individual or organization wishing to install a wind-energy...

  5. Becky Hill ABI 3130xl Validation Applied Biosystems HID University/

    E-Print Network [OSTI]

    · Technology ­ Research programs in SNPs, miniSTRs, Y-STRs, mtDNA, qPCR ­ Assay and software development Experiments Performed at NIST Becky Hill ABI Seminar Series Future Trends in Forensic DNA Technology

  6. Rock Hill Utilities- Water Heater and Heat Pump Rebate Program

    Office of Energy Efficiency and Renewable Energy (EERE)

    Through the SmartChoice program, Rock Hill Utilities offers rebates for water heater and heat pump replacements. Information on financing for heat pumps can also be found on the web site listed...

  7. Town of Chapel Hill- Land-Use Management Ordinance

    Broader source: Energy.gov [DOE]

    In 2003, the Town of Chapel Hill adopted a land-use management ordinance that includes prohibitions against neighborhood or homeowners association covenants or other conditions of sale that...

  8. Implications from a study of the timing of oil entrapment in Monterey siliceous shales, Lost Hills, San Joaquin Valley, California

    SciTech Connect (OSTI)

    Julander, D.R. )

    1992-01-01

    The oil and gas-rich upper Miocene siliceous shales of the Monterey Group are the primary development target in the Lost Hills Oil Field, San Joaquin Valley, California. As a result of diagenesis, the siliceous shales can be subdivided by opal phase into three sections (from shallow to deep): the Opal-A diatomites which are rich in oil saturation; the Opal-CT porcellanites which are predominantly wet but include pockets of moderate oil saturation; and the Quartz cherts and porcellanites which in some places are highly oil saturated immediately below the Opal CT section. Productivity trends in each of the three sections have been established through drilling and production testing, but a predictive model was not available until a study of the timing of oil entrapment at Lost Hills was recently completed. The study included an analysis of the depositional history of the siliceous shales and timing of: (1) structural growth of the Lost Hills fold, (2) source-rock maturation, and (3) development of the opal-phase segregation of the Monterey shales. The study led to enhanced understanding of the known oil saturation and production trends in the three opal-phase sections and yielded a predictive model that is being used to identify areas in the field with remedial or delineation potential. The study also produced evidence of fold axis rotation during the Pliocene and Pleistocene that helps explain differences in fracture orientations within the Monterey shales.

  9. Traffic information computing platform for big data

    SciTech Connect (OSTI)

    Duan, Zongtao Li, Ying Zheng, Xibin Liu, Yan Dai, Jiting Kang, Jun

    2014-10-06

    Big data environment create data conditions for improving the quality of traffic information service. The target of this article is to construct a traffic information computing platform for big data environment. Through in-depth analysis the connotation and technology characteristics of big data and traffic information service, a distributed traffic atomic information computing platform architecture is proposed. Under the big data environment, this type of traffic atomic information computing architecture helps to guarantee the traffic safety and efficient operation, more intelligent and personalized traffic information service can be used for the traffic information users.

  10. A different Big Bang theory: Los Alamos

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

    different Big Bang theory: Los Alamos unveils explosives detection expertise February 19, 2015 Collaboration project defeats explosives threats through enhanced detection...

  11. 3/12/2015 1 Big Data in Accounting

    E-Print Network [OSTI]

    3/12/2015 1 Big Data in Accounting: An Overview #12;2 The Meaning of Big Data · Differs across of Storage · Processing #12;3 Accounting and Big Data · Big Data has the potential to cause a paradigm shift the current structured data stores of ERPs. #12;Non-traditional Big Data · Addition of new types of data

  12. Big Efficieny for Small Manufacturing 

    E-Print Network [OSTI]

    Trombley, D.

    2014-01-01

    stream_source_info ESL-IE-14-05-10.pdf.txt stream_content_type text/plain stream_size 6203 Content-Encoding UTF-8 stream_name ESL-IE-14-05-10.pdf.txt Content-Type text/plain; charset=UTF-8 Big Efficiency for Small... and corporate memberships • Research and technical assistance • Data on real world experiences, best practices • Policies advancing market transformation/market development • Education and Advocacy • Conferences, publications • National, state and local ESL...

  13. Big bang nucleosynthesis: An update

    SciTech Connect (OSTI)

    Olive, Keith A. [William I. Fine Theoretical Physics Institute, School of Physics and Astronomy, University of Minnesota, Minneapolis, MN 55455 (United States)] [William I. Fine Theoretical Physics Institute, School of Physics and Astronomy, University of Minnesota, Minneapolis, MN 55455 (United States)

    2013-07-23

    An update on the standard model of big bang nucleosynthesis (BBN) is presented. With the value of the baryon-tophoton ratio determined to high precision by WMAP, standard BBN is a parameter-free theory. In this context, the theoretical prediction for the abundances of D, {sup 4}He, and {sup 7}Li is discussed and compared to their observational determination. While concordance for D and {sup 4}He is satisfactory, the prediction for {sup 7}Li exceeds the observational determination by a factor of about four. Possible solutions to this problem are discussed.

  14. Big Data Hits the Beamline

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAudits & InspectionsBeryllium and ChronicBestBeyond theBid-ListBig Data

  15. Big Sol - Facilities - Cyclotron Institute

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAudits & InspectionsBeryllium and ChronicBestBeyond theBid-ListBig

  16. Yushu Yao Big Data @ NERSC

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largest single|YejunOpportunityYue Lu Yue LuYao Big

  17. This article was downloaded by: [University North Carolina -Chapel Hill] On: 19 July 2012, At: 11:00

    E-Print Network [OSTI]

    Shen, Haipeng

    This article was downloaded by: [University North Carolina - Chapel Hill] On: 19 July 2012, At: 11 of North Carolina at Chapel Hill, Chapel Hill, NC, 27599 b Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599 c Department of Statistics and Operations Research

  18. Big Data Big Talent The Master's in Business Analytics program starting Spring 2015 is designed to

    E-Print Network [OSTI]

    Huang, Haiying

    Business Analytics Big Data Big Talent The Master's in Business Analytics program starting Spring Intelligence Web and Social Analytics Big Data Analytics Python for Data Analytics Forecasting Applied 2015 is designed to create an empowered workforce that understands how data - regardless of size

  19. Report on the Night of the Big Wind The Big Wind of 1839 was

    E-Print Network [OSTI]

    Report on the Night of the Big Wind The Big Wind of 1839 was Ireland's worst natural disaster. It brought hurricane force winds very rare in such a temperate climate during the night of 6th - 7th January a coincidence. The day before the `Night of the Big Wind' was Little Christmas, the day when the date Christmas

  20. Deep Lambertian Networks Introduction

    E-Print Network [OSTI]

    Toronto, University of

    Deep Lambertian Networks Introduction Learns distributions over 3D object shapes from sets of 2D-shot recognition possible Uses multiplicative interactions to approximate the Lambertian reflectance model Deep 30 50 Experiments Deep Lambertian Networks Inference Samples from albedo DBN Face Relighting Simple

  1. Deep Web video

    ScienceCinema (OSTI)

    None Available

    2012-03-28

    To make the web work better for science, OSTI has developed state-of-the-art technologies and services including a deep web search capability. The deep web includes content in searchable databases available to web users but not accessible by popular search engines, such as Google. This video provides an introduction to the deep web search engine.

  2. Deep Web video

    SciTech Connect (OSTI)

    None Available

    2009-06-01

    To make the web work better for science, OSTI has developed state-of-the-art technologies and services including a deep web search capability. The deep web includes content in searchable databases available to web users but not accessible by popular search engines, such as Google. This video provides an introduction to the deep web search engine.

  3. Tools for Extracting Actionable Medical Knowledge from Genomic Big Data

    E-Print Network [OSTI]

    Goldstein, Theodore Charles

    2013-01-01

    KNOWLEDGE FROM GENOMIC BIG DATA A dissertation submitted inKNOWLEDGE FROM GENOMIC BIG DATA By Theodore C. Goldsteinby the quantities of big data from these assays and cannot

  4. Reliability Meets Big Data: Opportunities and Challenges

    E-Print Network [OSTI]

    McCalley, James D.

    Reliability Meets Big Data: Opportunities and Challenges William Q. Meeker Department of Statistics maintenance operations. 1.2 Examples of systems providing big data Some examples of particular systems 1, 2013 Abstract Reliability field data such as that obtained from warranty claims and maintenance

  5. GREEN IT STRATEGY WHITE PAPER BIG DATA.

    E-Print Network [OSTI]

    Chou, James

    GREEN IT STRATEGY WHITE PAPER BIG DATA. BIG ENERGY. #12;GREEN:ons in MassachuseUs. In one day, Odyssey's cloud compu:ng power can process the same amount of 250 more kilowaUs annually. HARVARD'S GREEN IT COMMITMENT Achieve University

  6. The big picture Victoria University of Wellington

    E-Print Network [OSTI]

    Visser, Matt

    Abstract Basics The big picture Victoria University of Wellington Te Whare W¯ananga o te ¯Upoko o picture Abstract: VUW Modern cosmology is an interesting mixture -- some aspects of cosmology are now... #12;Abstract Basics The big picture Basics: Some parts of cosmology are rock solid: Yes, the universe

  7. Economic Development Benefits of the Mars Hill Wind Farm, Wind Powering America Rural Economic Development, Case Study (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-06-01

    This case study summarizes the economic development benefits of the Mars Hill Wind Farm to the community of Mars Hill, Maine. The Mars Hill Wind Farm is New England's first utility-scale wind farm.

  8. Quark mass variation constraints from Big Bang nucleosynthesis...

    Office of Scientific and Technical Information (OSTI)

    Quark mass variation constraints from Big Bang nucleosynthesis Citation Details In-Document Search Title: Quark mass variation constraints from Big Bang nucleosynthesis We study...

  9. Big Mysteries: The Higgs Mass

    SciTech Connect (OSTI)

    Lincoln, Don

    2014-04-28

    With the discovery of what looks to be the Higgs boson, LHC researchers are turning their attention to the next big question, which is the predicted mass of the newly discovered particles. When the effects of quantum mechanics is taken into account, the mass of the Higgs boson should be incredibly high...perhaps upwards of a quadrillion times higher than what was observed. In this video, Fermilab's Dr. Don Lincoln explains how it is that the theory predicts that the mass is so large and gives at least one possible theoretical idea that might solve the problem. Whether the proposed idea is the answer or not, this question must be answered by experiments at the LHC or today's entire theoretical paradigm could be in jeopardy.

  10. Big Mysteries: The Higgs Mass

    ScienceCinema (OSTI)

    Lincoln, Don

    2014-06-03

    With the discovery of what looks to be the Higgs boson, LHC researchers are turning their attention to the next big question, which is the predicted mass of the newly discovered particles. When the effects of quantum mechanics is taken into account, the mass of the Higgs boson should be incredibly high...perhaps upwards of a quadrillion times higher than what was observed. In this video, Fermilab's Dr. Don Lincoln explains how it is that the theory predicts that the mass is so large and gives at least one possible theoretical idea that might solve the problem. Whether the proposed idea is the answer or not, this question must be answered by experiments at the LHC or today's entire theoretical paradigm could be in jeopardy.

  11. SEP Success Story: Turkey Hill Dairy: Where Energy is Not Left...

    Office of Environmental Management (EM)

    Turkey Hill Dairy: Where Energy is Not Left Flapping in the Wind SEP Success Story: Turkey Hill Dairy: Where Energy is Not Left Flapping in the Wind December 21, 2011 - 11:57am...

  12. SURVEYOR REPORT STANDARDS FOR THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL

    E-Print Network [OSTI]

    McLaughlin, Richard M.

    SURVEYOR REPORT STANDARDS FOR THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL A survey report is to accompany each digital survey submitted to the University of North Carolina at Chapel Hill. Reports describe

  13. Flint Hills Resources, LP- FE Dkt. No. 15-168-LNG

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Office of Fossil Energy (FE) of the Department of Energy (DOE) gives notice of receipt of an application, filed on November 5, 2015, by Flint Hills Resources, LP (Flint Hills), requesting long...

  14. Voluntary Protection Program Onsite Review, CH2M HILL B&W West...

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

    CH2M HILL B&W West Valley LLC, West Valley Demonstration Project - October 2013 Voluntary Protection Program Onsite Review, CH2M HILL B&W West Valley LLC, West Valley Demonstration...

  15. The Naming, Identification, and Protection of Place in the Loess Hills of the Middle Missouri Valley

    E-Print Network [OSTI]

    McDermott, David Thomas

    2009-11-09

    Definitions of the extent of the Loess Hills of the Missouri River valley have become smaller over the last century. The reduced extent of the Hills, as represented in both promotional and scientific literature, no longer accurately reflects...

  16. Intimate Emptiness: The Flint Hills Wind Turbine Controversy

    E-Print Network [OSTI]

    Graham, Howard Russell

    2008-07-28

    wind turbine sites across the state. 21 In 2000, wind research revealed that the ?Sunflower State ranked near the top in the country for wind-energy potential;? 22 in 2001, the Montezuma Project in Gray County, near Dodge City, Kansas? first wind..., and their argument. My first chapter locates the Flint Hills, explains why they are unique, discovers the reason wind developers wanted to site turbines in the Hills, and introduces the wind controversy. I draw on a number of secondary sources to help position...

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

    E-Print Network [OSTI]

    Ailamaki, Anastassia

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

  18. The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL1 http://gamma.cs.unc.edu/DAB

    E-Print Network [OSTI]

    Lin, Ming C.

    The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL1 http://gamma.cs.unc.edu/DAB http of NORTH CAROLINA at CHAPEL HILL2 Digital Painting Alvy Ray Smith and Ed Ernshwiller working on "Paint ·No fading or decay ·No physical limits #12;The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL3

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

    E-Print Network [OSTI]

    Ailamaki, Anastassia

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

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

    E-Print Network [OSTI]

    Ailamaki, Anastassia

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

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

    E-Print Network [OSTI]

    Ailamaki, Anastassia

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

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

    E-Print Network [OSTI]

    Ailamaki, Anastassia

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

  3. The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL DiFi: Distance Fields -Fast

    E-Print Network [OSTI]

    North Carolina at Chapel Hill, University of

    The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL DiFi: Distance Fields - Fast Computation Using UNIVERSITY of NORTH CAROLINA at CHAPEL HILL Distance Fields Distance Function For a site a scalar function f UNIVERSITY of NORTH CAROLINA at CHAPEL HILL What is a Voronoi Diagram? Given a collection of geometric

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Ailamaki, Anastassia

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

  6. Lithium in Jack Hills zircons: Evidence for extensive weathering of Earth's earliest crust Takayuki Ushikubo a,

    E-Print Network [OSTI]

    Mcdonough, William F.

    Lithium in Jack Hills zircons: Evidence for extensive weathering of Earth's earliest crust Takayuki Hills lithium weathering continental crust Hadean In situ Li analyses of 4348 to 3362 Ma detrital of REEs. The Jack Hills zircons also have fractionated lithium isotope ratios (7 Li=-19 to+13) about five

  7. DEVELOPMENT OF AN ELK SIGHTABILITY MODEL FOR THE BLACK HILLS OF SOUTH DAKOTA

    E-Print Network [OSTI]

    DEVELOPMENT OF AN ELK SIGHTABILITY MODEL FOR THE BLACK HILLS OF SOUTH DAKOTA BY EVAN C. PHILLIPS SIGHTABILITY MODEL FOR THE BLACK HILLS OF SOUTH DAKOTA Evan C. Phillips August 26, 2011 Elk (Cervus elaphus specific to the elk population that resides within the Black Hills of South Dakota. Sightability trials

  8. BIG SKY CARBON SEQUESTRATION PARTNERSHIP

    SciTech Connect (OSTI)

    Susan M. Capalbo

    2004-01-04

    The Big Sky Partnership, led by Montana State University, is comprised of research institutions, public entities and private sectors organizations, and the Confederated Salish and Kootenai Tribes and the Nez Perce Tribe. Efforts during the first performance period fall into four areas: evaluation of sources and carbon sequestration sinks; development of GIS-based reporting framework; designing an integrated suite of monitoring, measuring, and verification technologies; and initiating a comprehensive education and outreach program. At the first Partnership meeting the groundwork was put in place to provide an assessment of capture and storage capabilities for CO{sub 2} utilizing the resources found in the Partnership region (both geological and terrestrial sinks), that would complement the ongoing DOE research. The region has a diverse array of geological formations that could provide storage options for carbon in one or more of its three states. Likewise, initial estimates of terrestrial sinks indicate a vast potential for increasing and maintaining soil C on forested, agricultural, and reclaimed lands. Both options include the potential for offsetting economic benefits to industry and society. Complementary to the efforts on evaluation of sources and sinks is the development of the Big Sky Partnership Carbon Cyberinfrastructure (BSP-CC) and a GIS Road Map for the Partnership. These efforts will put in place a map-based integrated information management system for our Partnership, with transferability to the national carbon sequestration effort. The Partnership recognizes the critical importance of measurement, monitoring, and verification technologies to support not only carbon trading but other policies and programs that DOE and other agencies may want to pursue in support of GHG mitigation. The efforts begun in developing and implementing MMV technologies for geological sequestration reflect this concern. Research is also underway to identify and validate best management practices for soil C in the partnership region, and to design a risk/cost effectiveness framework to make comparative assessments of each viable sink, taking into account economic costs, offsetting benefits, scale of sequestration opportunities, spatial and time dimensions, environmental risks, and long term viability. A series of meetings held in November and December, 2003, have laid the foundations for assessing the issues surrounding the implementation of a market-based setting for soil C credits. These include the impact of existing local, state, and federal permitting issues for terrestrial based carbon sequestration projects, consistency of final protocols and planning standards with national requirements, and alignments of carbon sequestration projects with existing federal and state cost-share programs. Finally, the education and outreach efforts during this performance period have resulted in a comprehensive plan which serves as a guide for implementing the outreach activities under Phase I. The primary goal of this plan is to increase awareness, understanding, and public acceptance of sequestration efforts and build support for a constituent based network which includes the initial Big Sky Partnership and other local and regional businesses and entities.

  9. BIG SKY CARBON SEQUESTRATION PARTNERSHIP

    SciTech Connect (OSTI)

    Susan M. Capalbo

    2004-06-01

    The Big Sky Partnership, led by Montana State University, is comprised of research institutions, public entities and private sectors organizations, and the Confederated Salish and Kootenai Tribes and the Nez Perce Tribe. Efforts during the second performance period fall into four areas: evaluation of sources and carbon sequestration sinks; development of GIS-based reporting framework; designing an integrated suite of monitoring, measuring, and verification technologies; and initiating a comprehensive education and outreach program. At the first two Partnership meetings the groundwork was put in place to provide an assessment of capture and storage capabilities for CO{sub 2} utilizing the resources found in the Partnership region (both geological and terrestrial sinks), that would complement the ongoing DOE research. The region has a diverse array of geological formations that could provide storage options for carbon in one or more of its three states. Likewise, initial estimates of terrestrial sinks indicate a vast potential for increasing and maintaining soil C on forested, agricultural, and reclaimed lands. Both options include the potential for offsetting economic benefits to industry and society. Steps have been taken to assure that the GIS-based framework is consistent among types of sinks within the Big Sky Partnership area and with the efforts of other western DOE partnerships. Efforts are also being made to find funding to include Wyoming in the coverage areas for both geological and terrestrial sinks and sources. The Partnership recognizes the critical importance of measurement, monitoring, and verification technologies to support not only carbon trading but all policies and programs that DOE and other agencies may want to pursue in support of GHG mitigation. The efforts begun in developing and implementing MMV technologies for geological sequestration reflect this concern. Research is also underway to identify and validate best management practices for soil C in the partnership region, and to design a risk/cost effectiveness framework to make comparative assessments of each viable sink, taking into account economic costs, offsetting benefits, scale of sequestration opportunities, spatial and time dimensions, environmental risks, and long term viability. Scientifically sound information on MMV is critical for public acceptance of these technologies. Two key deliverables were completed this quarter--a literature review/database to assess the soil carbon on rangelands, and the draft protocols, contracting options for soil carbon trading. To date, there has been little research on soil carbon on rangelands, and since rangeland constitutes a major land use in the Big Sky region, this is important in achieving a better understanding of terrestrial sinks. The protocols developed for soil carbon trading are unique and provide a key component of the mechanisms that might be used to efficiently sequester GHG and reduce CO{sub 2} concentrations. Progress on other deliverables is noted in the PowerPoint presentations. A series of meetings held during the second quarter have laid the foundations for assessing the issues surrounding the implementation of a market-based setting for soil C credits. These meetings provide a connection to stakeholders in the region and a basis on which to draw for the DOE PEIS hearings. Finally, the education and outreach efforts have resulted in a comprehensive plan and process which serves as a guide for implementing the outreach activities under Phase I. While we are still working on the public website, we have made many presentations to stakeholders and policy makers, connections to other federal and state agencies concerned with GHG emissions, climate change, and efficient and environmentally-friendly energy production. In addition, we have laid plans for integration of our outreach efforts with the students, especially at the tribal colleges and at the universities involved in our partnership. This includes collaboration with the film and media arts departments at MSU, with outreach effort

  10. BIG SKY CARBON SEQUESTRATION PARTNERSHIP

    SciTech Connect (OSTI)

    Susan M. Capalbo

    2005-01-31

    The Big Sky Carbon Sequestration Partnership, led by Montana State University, is comprised of research institutions, public entities and private sectors organizations, and the Confederated Salish and Kootenai Tribes and the Nez Perce Tribe. Efforts under this Partnership in Phase I fall into four areas: evaluation of sources and carbon sequestration sinks that will be used to determine the location of pilot demonstrations in Phase II; development of GIS-based reporting framework that links with national networks; designing an integrated suite of monitoring, measuring, and verification technologies and assessment frameworks; and initiating a comprehensive education and outreach program. The groundwork is in place to provide an assessment of storage capabilities for CO{sub 2} utilizing the resources found in the Partnership region (both geological and terrestrial sinks), that would complement the ongoing DOE research. Efforts are underway to showcase the architecture of the GIS framework and initial results for sources and sinks. The region has a diverse array of geological formations that could provide storage options for carbon in one or more of its three states. Likewise, initial estimates of terrestrial sinks indicate a vast potential for increasing and maintaining soil C on forested, agricultural, and reclaimed lands. Both options include the potential for offsetting economic benefits to industry and society. Steps have been taken to assure that the GIS-based framework is consistent among types of sinks within the Big Sky Partnership area and with the efforts of other western DOE partnerships. The Partnership recognizes the critical importance of measurement, monitoring, and verification technologies to support not only carbon trading but all policies and programs that DOE and other agencies may want to pursue in support of GHG mitigation. The efforts in developing and implementing MMV technologies for geological sequestration reflect this concern. Research is also underway to identify and validate best management practices for soil C in the Partnership region, and to design a risk/cost effectiveness framework to make comparative assessments of each viable sink, taking into account economic costs, offsetting benefits, scale of sequestration opportunities, spatial and time dimensions, environmental risks, and long-term viability. Scientifically sound information on MMV is critical for public acceptance of these technologies.

  11. Linda Hill, Ph.D.1 Olha Buchel, MLS.1

    E-Print Network [OSTI]

    Janée, Greg

    . The agendas for digital library and classification research in relating to KOS are also proposed. [Keywords DIGITIZING RETRIEVING SEARCHING VISUALIZING KNOWLEDGE ORGANIZATION SYSTEMS AUTHORITY FILES CLASSIFICATION ( ) [] [] Integration of Knowledge Organization Systems into Digital Library Architectures Linda Hill, Ph.D.1 Olha

  12. Penrose Life: ash and oscillators Margaret Hill1

    E-Print Network [OSTI]

    Stepney, Susan

    Penrose Life: ash and oscillators Margaret Hill1 , Susan Stepney1 , and Francis Wan2 1 Department tiling grid. We in- vestigate the lifetime to stability, the final `ash' density, and the number quantitative behaviour, with shorter lifetimes, lower ash densities, and higher ocurrence of long

  13. MARQUAM HILL CAMPUS SW SWGIBBS ST / SAM JACKSON PARK RD

    E-Print Network [OSTI]

    Chapman, Michael S.

    B28 EMC MARQUAM HILL CAMPUS BRB SW SWGIBBS ST / SAM JACKSON PARK RD SW SAM JACKSON PARK RD SW US VETERANS HOSPITAL RD SW GAINES ST SW6THAVE SW CAMPUS DR SWUSVETERANSHOSPITALRD SW CAM PUS DR map: www.ohsu.edu/map From Lake Oswego/Sellwood Bridge area · Travel north on S.W. Macadam Ave. · Turn

  14. Big Data ja vakuutustoiminta Oulun yliopisto 28.1.2014

    E-Print Network [OSTI]

    Klemelä, Jussi

    Big Data ja vakuutustoiminta Oulun yliopisto 28.1.2014 Lasse Koskinen Model IT & Aalto University; Finland 1 #12;Agenda · Model IT · The age of Big Data · Not generally accepted definition · Important #12;Big Data Creates Value · The use of big data offers tremendous potential for creating value · Mc

  15. Big Data Applications in Cloud and Cyber Security

    E-Print Network [OSTI]

    Sandhu, Ravi

    Big Data Applications in Cloud and Cyber Security Prof. Ravi Sandhu Executive Director and Endowed Professor UTSA COB Symposium on Big Data, Big Challenges March 17, 2015 ravi.sandhu@utsa.edu www Security 1 #12;© Ravi Sandhu 2 World-Leading Research with Real-World Impact! Big Data Volume Variety

  16. The SIKS/BiGGrid Big Data Tutorial Djoerd Hiemstra

    E-Print Network [OSTI]

    Hiemstra, Djoerd

    The SIKS/BiGGrid Big Data Tutorial Djoerd Hiemstra U. Twente, The Netherlands d BiG Grid organized a new two- day tutorial on Big Data at the University of Twente on 30 November terabytes of data on large clusters, and discusses several core computer science top- ics adapted for big

  17. Statistical Inference, Learning and Models for Big Data

    E-Print Network [OSTI]

    Knight, Keith

    Statistical Inference, Learning and Models for Big Data Steering Committee Yoshua Bengio Hugh: Strategies and Principles Feb 23 - 27 · Big Data in Health Policy Mar 23 - 27 · Big Data for Social Policy Jordan, UC Berkeley, April 7, 8 and 9 · Andrew Lo, MIT March 25 ­ law, finance and big data · Graduate

  18. Big Data As Complementary Audit Kyunghee Yoon, Rutgers Business School

    E-Print Network [OSTI]

    Big Data As Complementary Audit Evidence Kyunghee Yoon, Rutgers Business School Lucas Hoogduin variety of information - High litigation risks - Advanced technologies · Big data and big data analytics (SAS No. 106) #12;Sufficiency consideration 1. Relevant external big data could be a complement

  19. Astronomical Surveys and Big Data

    E-Print Network [OSTI]

    Mickaelian, A M

    2015-01-01

    Recent all-sky and large-area astronomical surveys and their catalogued data over the whole range of electromagnetic spectrum are reviewed, from Gamma-ray to radio, such as Fermi-GLAST and INTEGRAL in Gamma-ray, ROSAT, XMM and Chandra in X-ray, GALEX in UV, SDSS and several POSS I and II based catalogues (APM, MAPS, USNO, GSC) in optical range, 2MASS in NIR, WISE and AKARI IRC in MIR, IRAS and AKARI FIS in FIR, NVSS and FIRST in radio and many others, as well as most important surveys giving optical images (DSS I and II, SDSS, etc.), proper motions (Tycho, USNO, Gaia), variability (GCVS, NSVS, ASAS, Catalina, Pan-STARRS) and spectroscopic data (FBS, SBS, Case, HQS, HES, SDSS, CALIFA, GAMA). An overall understanding of the coverage along the whole wavelength range and comparisons between various surveys are given: galaxy redshift surveys, QSO/AGN, radio, Galactic structure, and Dark Energy surveys. Astronomy has entered the Big Data era. Astrophysical Virtual Observatories and Computational Astrophysics play a...

  20. Quality of Big Data in Healthcare

    SciTech Connect (OSTI)

    Sukumar, Sreenivas R; Ramachandran, Natarajan; Ferrell, Regina Kay

    2015-01-01

    The current trend in Big Data Analytics and in particular Health information technology is towards building sophisticated models, methods and tools for business, operational and clinical intelligence, but the critical issue of data quality required for these models is not getting the attention it deserves. The objective of the paper is to highlight the issues of data quality in the context of Big Data Healthcare Analytics.

  1. BIG SKY CARBON SEQUESTRATION PARTNERSHIP

    SciTech Connect (OSTI)

    Susan M. Capalbo

    2004-10-31

    The Big Sky Carbon Sequestration Partnership, led by Montana State University, is comprised of research institutions, public entities and private sectors organizations, and the Confederated Salish and Kootenai Tribes and the Nez Perce Tribe. Efforts under this Partnership fall into four areas: evaluation of sources and carbon sequestration sinks; development of GIS-based reporting framework; designing an integrated suite of monitoring, measuring, and verification technologies; and initiating a comprehensive education and outreach program. At the first two Partnership meetings the groundwork was put in place to provide an assessment of capture and storage capabilities for CO{sub 2} utilizing the resources found in the Partnership region (both geological and terrestrial sinks), that would complement the ongoing DOE research. During the third quarter, planning efforts are underway for the next Partnership meeting which will showcase the architecture of the GIS framework and initial results for sources and sinks, discuss the methods and analysis underway for assessing geological and terrestrial sequestration potentials. The meeting will conclude with an ASME workshop. The region has a diverse array of geological formations that could provide storage options for carbon in one or more of its three states. Likewise, initial estimates of terrestrial sinks indicate a vast potential for increasing and maintaining soil C on forested, agricultural, and reclaimed lands. Both options include the potential for offsetting economic benefits to industry and society. Steps have been taken to assure that the GIS-based framework is consistent among types of sinks within the Big Sky Partnership area and with the efforts of other western DOE partnerships. Efforts are also being made to find funding to include Wyoming in the coverage areas for both geological and terrestrial sinks and sources. The Partnership recognizes the critical importance of measurement, monitoring, and verification technologies to support not only carbon trading but all policies and programs that DOE and other agencies may want to pursue in support of GHG mitigation. The efforts begun in developing and implementing MMV technologies for geological sequestration reflect this concern. Research is also underway to identify and validate best management practices for soil C in the Partnership region, and to design a risk/cost effectiveness framework to make comparative assessments of each viable sink, taking into account economic costs, offsetting benefits, scale of sequestration opportunities, spatial and time dimensions, environmental risks, and long-term viability. Scientifically sound information on MMV is critical for public acceptance of these technologies. Two key deliverables were completed in the second quarter--a literature review/database to assess the soil carbon on rangelands, and the draft protocols, contracting options for soil carbon trading. The protocols developed for soil carbon trading are unique and provide a key component of the mechanisms that might be used to efficiently sequester GHG and reduce CO{sub 2} concentrations. While no key deliverables were due during the third quarter, progress on other deliverables is noted in the PowerPoint presentations and in this report. A series of meetings held during the second and third quarters have laid the foundations for assessing the issues surrounding carbon sequestration in this region, the need for a holistic approach to meeting energy demands and economic development potential, and the implementation of government programs or a market-based setting for soil C credits. These meetings provide a connection to stakeholders in the region and a basis on which to draw for the DOE PEIS hearings. In the fourth quarter, three deliverables have been completed, some in draft form to be revised and updated to include Wyoming. This is due primarily to some delays in funding to LANL and INEEL and the approval of a supplemental proposal to include Wyoming in much of the GIS data sets, analysis, and related materials. The de

  2. BIG SKY CARBON SEQUESTRATION PARTNERSHIP

    SciTech Connect (OSTI)

    Susan M. Capalbo

    2004-06-30

    The Big Sky Carbon Sequestration Partnership, led by Montana State University, is comprised of research institutions, public entities and private sectors organizations, and the Confederated Salish and Kootenai Tribes and the Nez Perce Tribe. Efforts under this Partnership fall into four areas: evaluation of sources and carbon sequestration sinks; development of GIS-based reporting framework; designing an integrated suite of monitoring, measuring, and verification technologies; and initiating a comprehensive education and outreach program. At the first two Partnership meetings the groundwork was put in place to provide an assessment of capture and storage capabilities for CO{sub 2} utilizing the resources found in the Partnership region (both geological and terrestrial sinks), that would complement the ongoing DOE research. During the third quarter, planning efforts are underway for the next Partnership meeting which will showcase the architecture of the GIS framework and initial results for sources and sinks, discuss the methods and analysis underway for assessing geological and terrestrial sequestration potentials. The meeting will conclude with an ASME workshop (see attached agenda). The region has a diverse array of geological formations that could provide storage options for carbon in one or more of its three states. Likewise, initial estimates of terrestrial sinks indicate a vast potential for increasing and maintaining soil C on forested, agricultural, and reclaimed lands. Both options include the potential for offsetting economic benefits to industry and society. Steps have been taken to assure that the GIS-based framework is consistent among types of sinks within the Big Sky Partnership area and with the efforts of other western DOE partnerships. Efforts are also being made to find funding to include Wyoming in the coverage areas for both geological and terrestrial sinks and sources. The Partnership recognizes the critical importance of measurement, monitoring, and verification technologies to support not only carbon trading but all policies and programs that DOE and other agencies may want to pursue in support of GHG mitigation. The efforts begun in developing and implementing MMV technologies for geological sequestration reflect this concern. Research is also underway to identify and validate best management practices for soil C in the Partnership region, and to design a risk/cost effectiveness framework to make comparative assessments of each viable sink, taking into account economic costs, offsetting benefits, scale of sequestration opportunities, spatial and time dimensions, environmental risks, and long-term viability. Scientifically sound information on MMV is critical for public acceptance of these technologies. Two key deliverables were completed in the second quarter--a literature review/database to assess the soil carbon on rangelands, and the draft protocols, contracting options for soil carbon trading. The protocols developed for soil carbon trading are unique and provide a key component of the mechanisms that might be used to efficiently sequester GHG and reduce CO2 concentrations. While no key deliverables were due during the third quarter, progress on other deliverables is noted in the PowerPoint presentations and in this report. A series of meetings held during the second and third quarters have laid the foundations for assessing the issues surrounding carbon sequestration in this region, the need for a holistic approach to meeting energy demands and economic development potential, and the implementation of government programs or a market-based setting for soil C credits. These meetings provide a connection to stakeholders in the region and a basis on which to draw for the DOE PEIS hearings. A third Partnership meeting has been planned for August 04 in Idaho Falls; a preliminary agenda is attached.

  3. Big Sky Carbon Sequestration Partnership

    SciTech Connect (OSTI)

    Susan M. Capalbo

    2005-11-01

    The Big Sky Carbon Sequestration Partnership, led by Montana State University, is comprised of research institutions, public entities and private sectors organizations, and the Confederated Salish and Kootenai Tribes and the Nez Perce Tribe. Efforts under this Partnership in Phase I fall into four areas: evaluation of sources and carbon sequestration sinks that will be used to determine the location of pilot demonstrations in Phase II; development of GIS-based reporting framework that links with national networks; designing an integrated suite of monitoring, measuring, and verification technologies and assessment frameworks; and initiating a comprehensive education and outreach program. The groundwork is in place to provide an assessment of storage capabilities for CO2 utilizing the resources found in the Partnership region (both geological and terrestrial sinks), that would complement the ongoing DOE research agenda in Carbon Sequestration. The region has a diverse array of geological formations that could provide storage options for carbon in one or more of its three states. Likewise, initial estimates of terrestrial sinks indicate a vast potential for increasing and maintaining soil C on forested, agricultural, and reclaimed lands. Both options include the potential for offsetting economic benefits to industry and society. Steps have been taken to assure that the GIS-based framework is consistent among types of sinks within the Big Sky Partnership area and with the efforts of other DOE regional partnerships. The Partnership recognizes the critical importance of measurement, monitoring, and verification technologies to support not only carbon trading but all policies and programs that DOE and other agencies may want to pursue in support of GHG mitigation. The efforts in developing and implementing MMV technologies for geological sequestration reflect this concern. Research is also underway to identify and validate best management practices for soil C in the Partnership region, and to design a risk/cost effectiveness framework to make comparative assessments of each viable sink, taking into account economic costs, offsetting benefits, scale of sequestration opportunities, spatial and time dimensions, environmental risks, and long-term viability. Scientifically sound MMV is critical for public acceptance of these technologies. Deliverables for the 7th Quarter reporting period include (1) for the geological efforts: Reports on Technology Needs and Action Plan on the Evaluation of Geological Sinks and Pilot Project Deployment (Deliverables 2 and 3), and Report on the Feasibility of Mineralization Trapping in the Snake River Plain Basin (Deliverable 14); (2) for the terrestrial efforts: Report on the Evaluation of Terrestrial Sinks and a Report of the Best Production Practices for Soil C Sequestration (Deliverables 8 and 15). In addition, the 7th Quarter activities for the Partnership included further development of the proposed activities for the deployment and demonstration phase of the carbon sequestration pilots including geological and terrestrial pilots, expansion of the Partnership to encompass regions and institutions that are complimentary to the steps we have identified, building greater collaborations with industry and stakeholders in the region, contributed to outreach efforts that spanned all partnerships, co-authorship on the Carbon Capture and Separation report, and developed a regional basis to address future energy opportunities in the region. The deliverables and activities are discussed in the following sections and appended to this report. The education and outreach efforts have resulted in a comprehensive plan which serves as a guide for implementing the outreach activities under Phase I. The public website has been expanded and integrated with the GIS carbon atlas. We have made presentations to stakeholders and policy makers including two tribal sequestration workshops, and made connections to other federal and state agencies concerned with GHG emissions, climate change, and efficient and environmental

  4. Apple Tree, NH Big Tree for May By Anne Krantz, NH Big Tree Team,

    E-Print Network [OSTI]

    New Hampshire, University of

    Apple Tree, NH Big Tree for May By Anne Krantz, NH Big Tree Team, UNH Cooperative Extension The explosion of apple blossoms in May transforms the most gnarled old tree into a delicate cloud of beauty (1817-1862) in his essay "The Wild Apple Tree," described the blossoms perfectly: `The flowers

  5. Deep East Texas HTC 

    E-Print Network [OSTI]

    Unknown

    2011-08-17

    To better understand how the evolution of Cenozoic deep-water circulation related to changes in global climate and ocean basin configuration, we generated Nd isotope records from Ocean Drilling Program sites in the southeastern Atlantic to track...

  6. Exploration for deep coal

    SciTech Connect (OSTI)

    NONE

    2008-12-15

    The most important factor in safe mining is the quality of the roof. The article explains how the Rosebud Mining Co. conducts drilling and exploration in 11 deep coal mine throughout Pennsylvania and Ohio. Rosebud uses two Atlas Copco CS10 core drilling rigs mounted on 4-wheel drive trucks. The article first appeared in Atlas Copco's in-house magazine, Deep Hole Driller. 3 photos.

  7. Testing Vpin on Big Data Response to Reflecting on the Vpin Dispute

    E-Print Network [OSTI]

    Wu, Kesheng

    2014-01-01

    Wu,  K. ,  et  al.   A  Big  Data  Approach  to  Analyzing  Testing VPIN on Big Data -- Response to “Reflecting on theTesting  VPIN  on  Big  Data    –  Response  to  “

  8. Solution Path Clustering with Minimax Concave Penalty and Its Applications to Noisy Big Data

    E-Print Network [OSTI]

    Marchetti, Yuliya

    2014-01-01

    Path Clustering of Noisy Big Data . . . . . . . . . . . .Y. Wah, and T. Herawan. “Big Data Clustering: A Review. ” InPath Clustering of Noisy Big Data Introduction In this

  9. Big Data Analaysis and Visualization: What Do LINACS and Tropical Storms Have In Common?

    E-Print Network [OSTI]

    Bethel, E. Wes

    2013-01-01

    Big Data Analaysis and Visualization: What Do LINACS andof California. BIG DATA ANALYSIS AND VISUALIZATION: WHAT DOproblems. INTRODUCTION Big data and its attendant

  10. Environmental protection and regulatory compliance at the Elk Hills Field

    SciTech Connect (OSTI)

    Chappelle, H.H. (BCM Engineers, Inc., Plymouth Meeting, PA (United States)); Donahoe, R.L. (Bechtel Petroleum Operations, Inc., Tupman, CA (United States)); Kato, T.T. (EG and G Energy Measurements, Inc., Las Vegas, NV (United States)); Ordway, H.E. (Chevron U.S.A., Inc., San Francisco, CA (United States))

    1991-01-01

    Environmental protection has played an integral role in the development and operation of the Elk Hills field since production at the maximum efficient rate was authorized in 1976. The field is located in a non-attainment area for California and National Ambient Air Quality Standards for two criteria pollutants and their associated precursors, is home to four endangered species, and operates within the California regulatory framework. Environmental protection and regulatory compliance is a multi-faceted program carried out through a substantial commitment of resources and workforce involvement. This paper describes the actions taken and resources employed to protect the environment, specific technologies and projects implement, and the ongoing nature of these efforts at Elk Hills.

  11. Environmental protection and regulatory compliance at the Elk Hills Field

    SciTech Connect (OSTI)

    Chappelle, H.H. [BCM Engineers, Inc., Plymouth Meeting, PA (United States); Donahoe, R.L. [Bechtel Petroleum Operations, Inc., Tupman, CA (United States); Kato, T.T. [EG and G Energy Measurements, Inc., Las Vegas, NV (United States); Ordway, H.E. [Chevron U.S.A., Inc., San Francisco, CA (United States)

    1991-12-31

    Environmental protection has played an integral role in the development and operation of the Elk Hills field since production at the maximum efficient rate was authorized in 1976. The field is located in a non-attainment area for California and National Ambient Air Quality Standards for two criteria pollutants and their associated precursors, is home to four endangered species, and operates within the California regulatory framework. Environmental protection and regulatory compliance is a multi-faceted program carried out through a substantial commitment of resources and workforce involvement. This paper describes the actions taken and resources employed to protect the environment, specific technologies and projects implement, and the ongoing nature of these efforts at Elk Hills.

  12. The University of North Carolina at Chapel Hill The University of North Carolina at Chapel Hill offers a comprehensive benefit package

    E-Print Network [OSTI]

    McLaughlin, Richard M.

    The University of North Carolina at Chapel Hill The University of North Carolina at Chapel Hill positions. EPA positions are Exempt from the provisions of the State Personnel Act of North Carolina plans are underwritten by the State Health Plan of North Carolina and administered by Blue Cross Blue

  13. Wesley Hills, New York: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEtGeorgia: Energy Resources Jump to:SearchWesley Hills, New York: Energy

  14. Woodland Hills, Utah: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEtGeorgia:Illinois:Wizard Power Pty Ltd JumpWoodcliffWoodlakeHills, Utah:

  15. Vine Hill, California: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,Village of Wellington, Ohio (Utility Company)Hill, California:

  16. Sugar Hill, New Hampshire: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)Model for the Entire Country |Illinois: EnergyHill, New

  17. Hidden Hills, California: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy Resources Jump to:Hershey, Pennsylvania:Hidden Hills, California: Energy

  18. Druid Hills, Georgia: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, Alabama (UtilityInstrumentsAreafor Geothermal Resources Rules - IdahoDruid Hills,

  19. Sedco Hills, California: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/ColoradoRemsenburg-Speonk,SageScheucoSedco Hills, California: Energy Resources Jump to:

  20. Settlers Hill Gas Recovery Biomass Facility | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing Capacity for Low Emission Development StrategiesInformationSettlers Hill

  1. Shorewood Hills, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing Capacity for LowInformation NanoTexas:Shiloh,Shoreacres,Shorewood Hills,

  2. Society Hill, New Jersey: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing Capacity forSilicium de ProvenceSolarProjectHill, New Jersey: Energy

  3. Marshfield Hills, Massachusetts: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas:Montezuma,InformationIllinois: EnergyWisconsin:Marshfield Hills, Massachusetts:

  4. Liberty Hill, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas:Montezuma, Arizona: EnergyLebanonTexas:Hill, Texas: Energy Resources Jump to:

  5. Raleigh Hills, Oregon: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/Colorado <RAPID/Geothermal/WaterEnergy Marketing Corp Jump to:RajasthanHills, Oregon:

  6. DOE to accept bids for Elk Hills crude

    SciTech Connect (OSTI)

    Not Available

    1992-05-04

    This paper reports that the Department of Energy will accept bids in a reoffering sale covering 53,400 b/d of Elk Hills field oil but later may exercise an option to cut sales volumes and ship 20,000 b/d to Strategic Petroleum Reserve sites in Texas. DOE rejected all 19 bids submitted in an earlier semiannual sale of crude oil from the California naval petroleum reserve, saying they were too low. DOE the, The unique combination of federal and state government policies affecting the movement of oil into and out of the California market has contributed to a situation in which it apparently is very difficult for the government to receive a price for Elk Hills oil that satisfies the minimum price tests that govern the sale of Elk Hills oil. The 12 winning bids in the reoffering sale averaged $13.58/bbl, with bids for the higher quality Stevens zone crude averaging $13.92/bbl, about 67 cents/bbl higher than bids rejected last month. DOE the 20,000 b/d is all local pipelines can ship to the interstate All-American pipeline for transfer to Texas beginning in June.

  7. Chapter Six Deep Orographic Convection

    E-Print Network [OSTI]

    Xue, Ming

    drainage west of Loveland, Colorado, and intense rainfall produced devastating flash floods that cost many focused on the Big Thompson area. The storm complex developed over the Big Thompson river drainage for a lifted parcel with mean thermodynamic characteristics of lowest 100hPa layer. Fig.6.2. Heavy rainfall

  8. Big Brothers needed in Northern New Mexico

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O OLaura| National2.11DESERTWaterSharingBeyondBang or BigBig

  9. Deep Maps”: A Brief for Digital Palimpsest Mapping Projects (DPMPs, or “Deep Maps”)

    E-Print Network [OSTI]

    Fishkin, Shelley Fisher

    2011-01-01

    DEEP  MAPS”:  A  Brief  for   Digital  Projects   (DPMPs,  or  “Deep  Maps”)   SHELLEY  FISHER  acronym   DPMPs   as   “Deep   Maps. ”   They   would  

  10. The Politics of European Collaboration in Big Olof Hallonsten

    E-Print Network [OSTI]

    Bongartz, Klaus

    politics. Keywords Big Science · CERN · Common market · European Atomic Energy Community (EURATOMThe Politics of European Collaboration in Big Science Olof Hallonsten Abstract Intergovernmental outside of the political integration work of the European Community/Union, which has resulted

  11. Solar Goes Big: Launching the California Valley Solar Ranch ...

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

    Solar Goes Big: Launching the California Valley Solar Ranch Solar Goes Big: Launching the California Valley Solar Ranch October 31, 2013 - 4:14pm Addthis The California Valley...

  12. At Vogtle, Big Results with Nuclear Power | Department of Energy

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

    At Vogtle, Big Results with Nuclear Power At Vogtle, Big Results with Nuclear Power February 20, 2014 - 1:29pm Addthis Construction work inside the Vogtle 3 and 4 module assembly...

  13. BigNeuron: Unlocking the Secrets of the Human Brain

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

    BigNeuron: Unlocking the Secrets of the Human Brain BigNeuron: Unlocking the Secrets of the Human Brain Berkeley Researchers and Supercomputers to Help Create a Standard 3D Neuron...

  14. Distributed Wind Market Report: Small Turbines Lead to Big Growth...

    Energy Savers [EERE]

    Distributed Wind Market Report: Small Turbines Lead to Big Growth in Exports Distributed Wind Market Report: Small Turbines Lead to Big Growth in Exports August 18, 2014 - 12:13pm...

  15. Photon Speedway Puts Big Data In the Fast Lane

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

    Photon Speedway Puts Big Data In the Fast Lane Photon Speedway Puts Big Data In the Fast Lane Scientists from Berkeley Lab and SLAC are using NERSC and ESnet to achieve...

  16. Water-Gas Sampling At Fenton Hill HDR Geothermal Area (Janik...

    Open Energy Info (EERE)

    Water-Gas Sampling At Fenton Hill HDR Geothermal Area (Janik & Goff, 2002) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water-Gas Sampling At...

  17. DOE Selects CH2M Hill Plateau Remediation Company for Plateau...

    Energy Savers [EERE]

    by CH2M Hill Constructors, Inc. The team also includes AREVA Federal Services, LLC; East Tennessee Materials & Energy Corporation, Inc.; and Fluor Federal Services, Inc. as...

  18. Space Time Quantization and the Big Bang

    E-Print Network [OSTI]

    B. G. Sidharth

    1998-06-21

    A recent cosmological model is recapitulated which deduces the correct mass, radius and age of the universe as also the Hubble constant and other well known apparently coincidental relations. It also predicts an ever expanding accelerating universe as is confirmed by latest supernovae observations. Finally the Big Bang model is recovered as a suitable limiting case.

  19. How to think big The 20th

    E-Print Network [OSTI]

    Lonardi, Stefano

    ,200 to .033 cents)* * Source: John McCallum, PC Direct #12;If only gas mileage improved as much as disk pricesHow to think big Udi Manber Google #12;· The 20th century was about taming nature (and winning wars performance has gone up by a factor of 3500 (1 MHz ­ 3.5GHz)* · Memory prices per megabyte are down

  20. ICME & MGI Big Area Additive Manufacturing

    E-Print Network [OSTI]

    ICME & MGI · Big Area Additive Manufacturing · Neutron Characterization for AM · Materials problems in additive manu- facturing (AM). Additive manufacturing, or three-dimensional (3-D) printing of the world's most advanced neu- tron facilities, the HFIR and SNS, to characterize additive manufactured

  1. No "big trips" for the universe

    E-Print Network [OSTI]

    Valerio Faraoni

    2007-02-27

    It has been claimed in several papers that a phantom energy-dominated universe can undergo a ``big trip'', i.e., tunneling through a wormhole that grows faster than the cosmic substratum due to the accretion of phantom energy, and will reappear on the other mouth of the wormhole. We show that such claims are unfounded and contradict the Einstein equations.

  2. Data Mining with Big Data Xindong Wu1,2

    E-Print Network [OSTI]

    Ding, Wei

    1 Data Mining with Big Data Xindong Wu1,2 , Xingquan Zhu3 , Gong-Qing Wu2 , Wei Ding4 1 School Boston, USA Abstract: Big Data concerns large-volume, complex, growing data sets with multiple, Big Data is now rapidly expanding in all science and engineering domains, including physical

  3. Mapping collective behavior in the big-data era

    E-Print Network [OSTI]

    Bentley, Alex

    Mapping collective behavior in the big-data era R. Alexander Bentley Department of Archaeology. Similarly, behavioral scientists now have access to "big data" sets ­ those from Twitter and Facebook & Reinsel 2011). These digital shadows are the subjects of "big data" research, which optimists see

  4. Statistical Inference, Learning and Models for Big Data

    E-Print Network [OSTI]

    Reid, Nancy

    Statistical Inference, Learning and Models for Big Data Nancy Reid University of Toronto P · Optimization and Matrix Methods Feb 9 ­ 11 · Visualization: Strategies and Principles Feb 23 ­ 27 · Big Data in Health Policy Mar 23 ­ 27 · Big Data for Social Policy Apr 13 ­ 16 #12;And more Distinguished Lecture

  5. Toward Effective Big Data Analysis in Continuous Auditing

    E-Print Network [OSTI]

    Toward Effective Big Data Analysis in Continuous Auditing By Juan Zhang, Xiongsheng Yang, and Deniz Appelbaum #12;Towards Effective Big Data Analysis Introduction New sources: emails, phone calls, click stream traffic, social media, news media, sensor recordings and videos, and RFID tags 4 V's of Big Data

  6. Cost aware real time big data processing in Cloud Environments

    E-Print Network [OSTI]

    Buyya, Rajkumar

    Cost aware real time big data processing in Cloud Environments By Cristian Montero Under and volatility of Big-data application workloads, it is difficult to decide when and how to scale up and down Environments . . . . . . . . . . . . . . . . . . . 9 2.2 Big Data

  7. When Recommenders Met Big Data An Architectural Proposal and Evaluation

    E-Print Network [OSTI]

    Coruña, Universidade da

    When Recommenders Met Big Data An Architectural Proposal and Evaluation Daniel Valcarce, Javier factor in the design of any system working with big data. In particular, it has been recognised as a main capable of making per- sonalised recommendations using collaborative filtering in a big data en- vironment

  8. Big Data: A Survey Min Chen Shiwen Mao Yunhao Liu

    E-Print Network [OSTI]

    Chen, Min

    Big Data: A Survey Min Chen · Shiwen Mao · Yunhao Liu © Springer Science+Business Media New York 2014 Abstract In this paper, we review the background and state-of-the-art of big data. We first introduce the general background of big data and review related technologies, such as could computing

  9. Behavioral Implications of Big Data's Impact on Audit Judgment

    E-Print Network [OSTI]

    Behavioral Implications of Big Data's Impact on Audit Judgment and Decision Making and Future state of Big Data with regards to the audit environment · Information processing weaknesses and limitations that can impede the effective use of Big Data in an audit environment, with a focus on

  10. Implementing 'Big Open Data' in government through Open Collaboration

    E-Print Network [OSTI]

    Baclawski, Kenneth B.

    1 Implementing 'Big Open Data' in government through Open Collaboration - case examples@mitre.org> Ken Baclawski Presented at the Joint DATA.GOV - ONTOLOG "Big Open Data" Session 17-May-2012 ( v1.02 ) #12;2ppy/lo/md/kb/Leveraging-OOR-in BigOpenData_May-2012 Presentation Outline

  11. Random Forests and Big Data Robin Genuer 1

    E-Print Network [OSTI]

    Villa-vialaneix, Nathalie

    Random Forests and Big Data Robin Genuer 1 , Jean-Michel Poggi 2 , Christine Tuleau-Malot3 Castanet Tolosan cedex, nathalie.villa@toulouse.inra.fr R´esum´e. Le Big Data est un des grands d´efis que. Le Big Data implique toujours le caract`ere massif des donn´ees mais comprend bien souvent aussi des

  12. Big Data, the Crowd, and Me Cathy Marshall

    E-Print Network [OSTI]

    Marshall, Cathy

    Big Data, the Crowd, and Me Cathy Marshall Microsoft Research, Silicon Valley Like many of you, I've been swept up by the romance of Big Data. But instead of stepping back and taking the long view, in this account I plan to get enmired in the details and tell you a story about my own Big Data dalliance

  13. Exploring big data opportunities for Online Customer Segmentation

    E-Print Network [OSTI]

    Utrecht, Universiteit

    Exploring big data opportunities for Online Customer Segmentation Georgia Fotaki Marco Spruit Sjaak University P.O. Box 80.089 3508 TB Utrecht The Netherlands #12;iii Exploring big data opportunities and analyzing the huge amount of data; and this is where the concept of "Big Data" can play an essential role

  14. Orchestrating Science DMZs for Big Data Acceleration: Challenges and Approaches

    E-Print Network [OSTI]

    Calyam, Prasad

    Orchestrating Science DMZs for Big Data Acceleration: Challenges and Approaches Saptarshi Debroy: {debroysa, calyamp, dickinsonmg}@missouri.edu. I. INTRODUCTION A. What is Science Big Data? In recent years computing centers, experiments and simulations produce peta-bytes of data viz., Big Data, that is likely

  15. One Statistician's Perspectives on Statistics and "Big Data" Analytics

    E-Print Network [OSTI]

    Vardeman, Stephen B.

    One Statistician's Perspectives on Statistics and "Big Data" Analytics Some (Ultimately 2014 Vardeman (Iowa State University) Perspectives on "Big Data" Analytics July 2014 1 / 16 #12;My/modern-multivariate-statistical-learning/ Vardeman (Iowa State University) Perspectives on "Big Data" Analytics July 2014 2 / 16 #12;Some (Indirect

  16. The Foundation of Big Data: Experiments, Formulation, and Applications

    E-Print Network [OSTI]

    Qiu, Robert Caiming

    The Foundation of Big Data: Experiments, Formulation, and Applications Robert C. Qiu 1 1 . In the age of Big Data, the size of n is large, but FINITE! The large but finite n asks for a new paradigm for big data analysis. Size is the only thing that matters. It is natural to model massive datasets

  17. Rethinking Abstractions for Big Data: Why, Where, How, and What

    E-Print Network [OSTI]

    Kirby, Mike

    Rethinking Abstractions for Big Data: Why, Where, How, and What Mary Hall, Robert M. Kirby, Feifei Venkatasubramanian, University of Utah June 17, 2013 Big data refers to large and complex data sets that, under, analytical tools and human understanding [7]. Numerous lessons on the scalability of big data can already

  18. IMPLICATIONS OF NON-MAXWELLIAN DISTRIBUTIONS ON BIG BANG NUCLEOSYNTHESIS

    E-Print Network [OSTI]

    Bertulani, Carlos A. - Department of Physics and Astronomy, Texas A&M University

    #12;IMPLICATIONS OF NON-MAXWELLIAN DISTRIBUTIONS ON BIG BANG NUCLEOSYNTHESIS A Thesis by JOHN FUQUA ON BIG BANG NUCLEOSYNTHESIS A Thesis by JOHN FUQUA Approved by: Advisor: Carlos Bertulani Committee-MAXWELLIAN DISTRIBUTIONS ON BIG BANG NUCLEOSYNTHESIS John Fuqua, MS Texas A&M University-Commerce, 2013 Advisor: Carlos

  19. Visualizing Distributed Data with BigWig and BigBed at UCSC (2010 JGI/ANL HPC Workshop)

    ScienceCinema (OSTI)

    Kent, Jim [UCSC

    2011-06-08

    Jim Kent from University of California, Santa Cruz presents on "Visualizing Distributed Data with BigWig and BigBed at UCSC" at the JGI/Argonne HPC Workshop on January 26, 2010.

  20. IOL: Africa's big plans for biofuel Africa's big plans for biofuel

    E-Print Network [OSTI]

    IOL: Africa's big plans for biofuel Africa's big plans for biofuel By Clare Byrne Visitors for the production of fuel crops. http://www.iol.co.za/general/news/newsprint.php?art_id=nw20071106135542969C112694&sf= (1 of 3) [11/11/2008 11:48:04 AM] http://www.iol.co.za/index.php?set_id=1&click_id=31&art

  1. West Hills, New York: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEtGeorgia: Energy Resources JumpChicago, Illinois:JumpHaverstraw, NewHills,

  2. Turpin Hills, Ohio: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York: Energy Resources Jump to:Georgia:Turpin Hills, Ohio:

  3. Western Shallow Oil Zone, Elk Hills Field, Kern County, California:

    SciTech Connect (OSTI)

    Carey, K.B.

    1987-09-01

    This study, Appendix V, addresses the Gusher Sands and their sub units and pools. Basic pressure, production and assorted technical dta were provided by the US Department of Energy staff at Elk Hills. These data were accepted as furnished with no attempt made by Evans, Carey and Crozier for independent verification. This study has identified the petrophysical properties and the past productive performance of the reservoir. Primary reserves have been determined and general means of enhancing future recovery have been suggested. It is hoped that this volume can now additionally serve as a take off points for exploitation engineers to develop specific programs towards these ends. 16 refs., 9 tabs.

  4. From the hills to the mountain. [Oil recovery in California

    SciTech Connect (OSTI)

    McDonald, J.

    1980-05-01

    The oil reserves at Elk Hills field, California, are listed as amounting to 835 million bbl. There is 12 times that amount lying in shallow sands in the San Joaquin Valley, although the oil is much heavier and requires more refining before use. Improved recovery techniques have enabled higher rates of recovery for heavy oil than in the past. Some of these techniques are described, including bottom-hole heating, steam injection, and oil mining. Bottom-hole heating alone raised recovery rates for heavy oil to 25%, and steam injection raised rates to 50%. It is predicted that oil mining may be able to accomplish 100% recovery of the heavy oil.

  5. Tara Hills, California: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)ModelTalbotts Ltd JumpJumpInformationTaos County,Hills,

  6. Harris Hill, New York: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainableGlynnMassachusetts: EnergySoftware IncHarmon,Tennessee: EnergyHarrisHill,

  7. Heritage Hills, New York: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy Resources Jump to: navigation,NavigationIndiana:Herald Harbor,Hills, New

  8. Homa Hills, Wyoming: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy Resources JumpNew Jersey: EnergyHollyHoma Hills, Wyoming: Energy Resources

  9. Four Hills Nashua Landfill Biomass Facility | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable Urban TransportFortistar LLC Jump to:EnergyMontana: Energy ResourcesHills

  10. Granite Hills, California: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainableGlynn County, Georgia: EnergyGorlitzLedge,Ohio: EnergyTexas:OpenHills,

  11. Fenton Hill HDR Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, AlabamaETEC GmbHFarinello Geothermal PowerGuidelines | OpenFediRenewableFenton Hill HDR

  12. Rolling Hills, California: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/ColoradoRemsenburg-Speonk, NewMichigan: EnergyRocklinRohm and Haas Co JumpElectricHills,

  13. Shinnecock Hills, New York: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing Capacity for LowInformation NanoTexas:Shiloh, Ohio:Shinnecock Hills, New

  14. Spring Hill, Kansas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren) Jump to:Spill Prevention andWell Log JumpHill, Kansas:

  15. Meridian Hills, Indiana: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: Energy Resources Jump1.2619821°,Energy Information| OpenHills, Indiana:

  16. Morgan Hill, California: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: EnergyInformation MontanaOhio:Hill, California: Energy Resources Jump to:

  17. Los Altos Hills, California: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas:Montezuma, Arizona:Oregon: EnergyLloyd, NewBranchLongweiLos Alamos CountyAltos Hills,

  18. McGinness Hills Geothermal Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: Energy Resources Jump to: navigation,McDonough County,McGinness Hills

  19. McGraw Hill Construction | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: Energy Resources Jump to: navigation,McDonough County,McGinnessMcGraw Hill

  20. Lea Hill, Washington: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas:Montezuma, Arizona: Energy ResourcesProjectMississippi: EnergyLawrie v.SueurHill,

  1. Lexington Hills, California: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas:Montezuma, Arizona: EnergyLebanonTexas: EnergyIdaho: EnergyWestHills, California:

  2. Jefferson Hills, Pennsylvania: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder atHills, Pennsylvania: Energy Resources Jump to: navigation,

  3. Quartz Hill, California: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource HistoryPotentialRuralUtilityScalePVGeneration JumpPublic Utility DistrictQuail Valley,QuantityQuartz Hill,

  4. Red Hill, Pennsylvania: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/Colorado <RAPID/Geothermal/WaterEnergy MarketingNewOpenRecycled EnergyButte,FeatherHill,

  5. Oak Hills Place, Louisiana: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPI VenturesNewSt. Louis, Minnesota:Nulato,Nyack, - MiningBrook,Oregon:Hills

  6. Palos Hills, Illinois: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPIProtectio Program |View New Pages RecentPalomar Ventures Jump to:Hills,

  7. Penn Hills, Pennsylvania: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPIProtectio Program |ViewIllinois: EnergyPelham,Peninsula, Ohio: EnergyHills,

  8. Southern Minnesota Hills Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS ReportEurope GmbHSolo EnergySouthSouthInformationHills Wind Farm

  9. Barrington Hills, Illinois: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAandAmminex AAustriaBiofuelsOpenBardonia,Kentucky: EnergyBarrington Hills,

  10. Barton Hills, Michigan: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAandAmminexInformation Bartholomew County,Creek, Texas: EnergyHills,

  11. Bay Hill, Florida: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAandAmminexInformationArkansas: Energy Resources JumpBayHarborHill,

  12. Campton Hills, Illinois: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank,Cammack Village, Arkansas: Energy ResourcesNew York:Campton Hills,

  13. Beverly Hills, Michigan: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental JumpInformation BeaufortBentMichigan: EnergyCensusPennsylvania:Beverly Hills,

  14. Blue Hills, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental JumpInformationBio-GasIllinois: EnergyHills, Connecticut: Energy Resources Jump

  15. Braddock Hills, Pennsylvania: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank, Maine: Energy Resources Jump to:Open EnergyBradbury, California:Hills,

  16. Brewster Hill, New York: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank, Maine: Energy ResourcesCounty, Texas:Brewer, Maine: Energy ResourcesHill,

  17. Bunker Hill Village, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank, Maine: EnergyEnergyOhio: EnergyNorth Dakota:Hill Village, Texas: Energy

  18. Clover Hill, Maryland: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, Alabama (Utility Company) JumpIowa: Energy Resources Jump to:NewNewIncHill, Maryland:

  19. Clyde Hill, Washington: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, Alabama (Utility Company) JumpIowa: Energy Resources JumpCloverly,Hill, Washington:

  20. Country Club Hills, Illinois: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, Alabama (Utility Company)|Alabama: Energy Resources Jump to:| OpenofCountry Club Hills,

  1. Cedar Hills, Oregon: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank,CammackFLIR Jump to:RAPIDCavallo Energy Jump to:Iowa:West Virginia:Hills,

  2. Cimarron Hills, Colorado: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank,CammackFLIRChurch Point, Louisiana: Energy ResourcesHills, Colorado: Energy

  3. City of Blue Hill, Nebraska (Utility Company) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank,CammackFLIRChurch Point,Blue Hill, Nebraska (Utility Company) Jump to:

  4. City of Hill City, Kansas (Utility Company) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank,CammackFLIRChurchFontanelle, Iowa (UtilityHagerstown,CityHermiston,Hill

  5. Golden Hills, California: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View New Pages RecentPlantMagma Energy GroupDOE Golden Field Office)Hills,

  6. Hill County Electric Coop, Inc | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam: Energyarea, CaliforniaHessWind Project Jump to:NewHill

  7. Hill County, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam: Energyarea, CaliforniaHessWind Project Jump to:NewHillTexas:

  8. Loess Hills Wind Energy Center | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History ViewInformationWindsCompressedListguided waves fromLocustLoess Hills

  9. Bedford Hills, New York: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowaWisconsin: EnergyYorkColorado StateWindInc JumpBeatty,Hills, New York:

  10. Black Hills Electric Coop, Inc | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowaWisconsin:Pontiac Biomass Facility JumpII Jump to:Bitworks WindBlack Hills

  11. WilderHill New Energy Finance LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (Utility Company)Idaho)VosslohWest PlainsAssn,WilderHill New Energy

  12. Clover Hill High School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePower Ventures Jump to: navigation, searchClover Hill High School Wind Project

  13. Deep Deference, Autonomy, and The Deferential Wife

    E-Print Network [OSTI]

    Silverstein, Elizabeth Rachel

    2013-01-01

    OF CALIFORNIA RIVERSIDE Deep Deference, Autonomy, and thev ABSTRACT OF THE DISSERTATION Deep Deference, Autonomy, andby DW and AF, which I call deep deference. Next, I identify

  14. THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL ANNUAL CAMPUS SECURITY REPORT

    E-Print Network [OSTI]

    McLaughlin, Richard M.

    THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL 2014 ANNUAL CAMPUS SECURITY REPORT INCLUDING policies. In accordance with that requirement, The University of North Carolina at Chapel Hill's Office of University Counsel, working with partners across campus, has prepared this report. The University of North

  15. Subsurface Utility Location Standards UNC Chapel Hill Page 1 of 2 May 17, 2013

    E-Print Network [OSTI]

    McLaughlin, Richard M.

    Subsurface Utility Location Standards UNC ­ Chapel Hill Page 1 of 2 May 17, 2013 THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL SUBSURFACE UTILITY LOCATION STANDARDS Created on July 7, 2005 (Updated May 2013) Scope: Perform field location surveys of utilities installed during the construction phase

  16. HEPATIC MINERALS OF WHITE-TAILED AND MULE DEER IN THE SOUTHERN BLACK HILLS, SOUTH DAKOTA

    E-Print Network [OSTI]

    HEPATIC MINERALS OF WHITE-TAILED AND MULE DEER IN THE SOUTHERN BLACK HILLS, SOUTH DAKOTA Teresa J status, and species. Key words: Black Hills, elements, fire, liver, mule deer, Odocoileus hemionus and laboratory animals (Robbins, 1983). Liver concentrations of some trace elements have been measured in elk

  17. Connaught Hill Park 37.0 acres (Connaught Drive & Queensway St.)

    E-Print Network [OSTI]

    Northern British Columbia, University of

    CITY PARKS · Connaught Hill Park 37.0 acres (Connaught Drive & Queensway St.) Picnic Site 346.0 acres (Cranbrook Hill Rd.) Hiking Trails (15.0 km), Picnic Shelter and Sites, Viewpoint, Public (Heather Rd. & Austin Rd. West) Ball Diamonds, Soccer Pitch, Washrooms, Elks Centre · Recreation Place 33

  18. 1. Introduction The Ferguson Hill section in New York Canyon has been

    E-Print Network [OSTI]

    McRoberts, Christopher A.

    1. Introduction The Ferguson Hill section in New York Canyon has been well studied.g. Muller & Ferguson, 1939; Taylor et al., 1983, 2000; Guex et al., 1997, 2003a, b; Ward et al., 2007 of the Psiloceras tilmanni group at Ferguson Hill as the defining criteria for the base Hettangian GSSP

  19. Big Rock Point severe accident management strategies

    SciTech Connect (OSTI)

    Brogan, B.A. [Consumers Power Co., Charlevoix, MI (United States); Gabor, J.R. [Dames and Moore, Westmont, IL (United States)

    1996-07-01

    December 1994, the Nuclear Energy Institute (NEI) issued guidance relative to the formal industry position on Severe Accident Management (SAM) approved by the NEI Strategic Issues Advisory Committee on November 4, 1994. This paper summarizes how Big Rock Point (BRP) has and continues to address SAM strategies. The historical accounting portion of this presentation includes a description of how the following projects identified and defined the current Big Rock Point SAM strategies: the 1981 Level 3 Probabilistic Risk Assessment performance; the development of the Plant Specific Technical Guidelines from which the symptom oriented Emergency Operating Procedures (EOPs) were developed; the Control Room Design Review; and, the recent completion of the Individual Plant Evaluation (IPE). In addition to the historical presentation deliberation, this paper the present activities that continue to stress SAM strategies.

  20. Dark Radiation Emerging After Big Bang Nucleosynthesis?

    E-Print Network [OSTI]

    Willy Fischler; Joel Meyers

    2011-02-28

    We show how recent data from observations of the cosmic microwave background may suggest the presence of additional radiation density which appeared after big bang nucleosynthesis. We propose a general scheme by which this radiation could be produced from the decay of non-relativistic matter, we place constraints on the properties of such matter, and we give specific examples of scenarios in which this general scheme may be realized.

  1. Dark radiation emerging after big bang nucleosynthesis?

    SciTech Connect (OSTI)

    Fischler, Willy; Meyers, Joel [Theory Group, Department of Physics, University of Texas, Austin, Texas 78712 (United States) and Texas Cosmology Center, University of Texas, Austin, Texas 78712 (United States)

    2011-03-15

    We show how recent data from observations of the cosmic microwave background may suggest the presence of additional radiation density which appeared after big bang nucleosynthesis. We propose a general scheme by which this radiation could be produced from the decay of nonrelativistic matter, we place constraints on the properties of such matter, and we give specific examples of scenarios in which this general scheme may be realized.

  2. Big Bang Nucleosynthesis and Primordial Black Holes

    E-Print Network [OSTI]

    C. Sivaram; Kenath Arun

    2010-06-28

    There are ongoing efforts in detecting Hawking radiation from primordial black holes (PBH) formed during the early universe. Here we put an upper limit on the PBH number density that could have been formed prior to the big bang nucleosynthesis era, based on the constraint that the PBH evaporation energy consisting of high energy radiation not affect the observed abundances' of elements, by disintegrating the nuclei.

  3. Tackling Big Data Together | 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 RankADVANCED MANUFACTURINGEnergyPlan | DepartmentXIII--SMART GRID SEC.Quadrennial Technology Review AboutBig

  4. Independent Oversight Review, Richland Operations Office and CH2M Hill Plateau Remediation Company and Mission Support Alliance- April 2012

    Office of Energy Efficiency and Renewable Energy (EERE)

    Review of Richland Operations Office and CH2M Hill Plateau Remediation Company and Mission Support Alliance Conduct of Operations

  5. Keeping Pace with Big Data Arizona State University Data Mining and Machine Learning Lab NSF Workshop on Big Data Analy6cs, Beijing 1

    E-Print Network [OSTI]

    Liu, Huan

    Keeping Pace with Big Data Arizona State University Data Mining and Machine Learning Lab NSF Workshop on Big Data Analy6cs, Beijing 1 Keeping Pace with Big Data - A Data Mining Perspec>ve Huan Liu Data

  6. Joint NSRC Workshop 2015: Big, Deep, and Smart Data Analytics in Materials

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATIONIntroducingJobs HumanImaging NSRC Workshop 2015 Joint

  7. The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL DiFi: Fast 3D Distance Field Computation

    E-Print Network [OSTI]

    North Carolina at Chapel Hill, University of

    The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL DiFi: Fast 3D Distance Field Computation using Graphics Hardware Avneesh Sud, Miguel A. Otaduy and Dinesh Manocha University of North Carolina at Chapel Hill http://gamma.cs.unc.edu/DiFi #12;The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL Distance Field

  8. Big Canyon Creek Ecological Restoration Strategy.

    SciTech Connect (OSTI)

    Rasmussen, Lynn; Richardson, Shannon

    2007-10-01

    He-yey, Nez Perce for steelhead or rainbow trout (Oncorhynchus mykiss), are a culturally and ecologically significant resource within the Big Canyon Creek watershed; they are also part of the federally listed Snake River Basin Steelhead DPS. The majority of the Big Canyon Creek drainage is considered critical habitat for that DPS as well as for the federally listed Snake River fall chinook (Oncorhynchus tshawytscha) ESU. The Nez Perce Soil and Water Conservation District (District) and the Nez Perce Tribe Department of Fisheries Resources Management-Watershed (Tribe), in an effort to support the continued existence of these and other aquatic species, have developed this document to direct funding toward priority restoration projects in priority areas for the Big Canyon Creek watershed. In order to achieve this, the District and the Tribe: (1) Developed a working group and technical team composed of managers from a variety of stakeholders within the basin; (2) Established geographically distinct sub-watershed areas called Assessment Units (AUs); (3) Created a prioritization framework for the AUs and prioritized them; and (4) Developed treatment strategies to utilize within the prioritized AUs. Assessment Units were delineated by significant shifts in sampled juvenile O. mykiss (steelhead/rainbow trout) densities, which were found to fall at fish passage barriers. The prioritization framework considered four aspects critical to determining the relative importance of performing restoration in a certain area: density of critical fish species, physical condition of the AU, water quantity, and water quality. It was established, through vigorous data analysis within these four areas, that the geographic priority areas for restoration within the Big Canyon Creek watershed are Big Canyon Creek from stream km 45.5 to the headwaters, Little Canyon from km 15 to 30, the mainstem corridors of Big Canyon (mouth to 7km) and Little Canyon (mouth to 7km). The District and the Tribe then used data collected from the District's stream assessment and inventory, utilizing the Stream Visual Assessment Protocol (SVAP), to determine treatment necessary to bring 90% of reaches ranked Poor or Fair through the SVAP up to good or excellent. In 10 year's time, all reaches that were previously evaluated with SVAP will be reevaluated to determine progress and to adapt methods for continued success. Over 400 miles of stream need treatment in order to meet identified restoration goals. Treatments include practices which result in riparian habitat improvements, nutrient reductions, channel condition improvements, fish habitat improvements, invasive species control, water withdrawal reductions, improved hydrologic alterations, upland sediment reductions, and passage barrier removal. The Nez Perce Soil and Water Conservation District (District) and the Nez Perce Tribe Department of Fisheries Resource Management Watershed Division (Tribe) developed this document to guide restoration activities within the Big Canyon Creek watershed for the period of 2008-2018. This plan was created to demonstrate the ongoing need and potential for anadromous fish habitat restoration within the watershed and to ensure continued implementation of restoration actions and activities. It was developed not only to guide the District and the Tribe, but also to encourage cooperation among all stakeholders, including landowners, government agencies, private organizations, tribal governments, and elected officials. Through sharing information, skills, and resources in an active, cooperative relationships, all concerned parties will have the opportunity to join together to strengthen and maintain a sustainable natural resource base for present and future generations within the watershed. The primary goal of the strategy is to address aquatic habitat restoration needs on a watershed level for resident and anadromous fish species, promoting quality habitat within a self-sustaining watershed. Seven objectives have been developed to support this goal: (1) Identify factors limiting quality

  9. $?$-tempered metadynamics: Artifact independent convergence times for wide hills

    E-Print Network [OSTI]

    Bradley M. Dickson

    2015-10-26

    Recent analysis of well-tempered metadynamics (WTmetaD) showed that it converges without mollification artifacts in the bias potential. Here we explore how metadynamics heals mollification artifacts, how healing impacts convergence time, and whether alternative temperings may be used to improve efficiency. We introduce "$\\mu$-tempered" metadynamics as a simple tempering scheme, inspired by a related mollified adaptive biasing potential (mABP), that results in artifact independent convergence of the free energy estimate. We use a toy model to examine the role of artifacts in WTmetaD and solvated alanine dipeptide to compare the well-tempered and $\\mu$-tempered frameworks demonstrating fast convergence for hill widths as large as $60^{\\circ}$ for $\\mu$TmetaD.

  10. Western Shallow Oil Zone, Elk Hills Field, Kern County, California:

    SciTech Connect (OSTI)

    Carey, K.B.

    1987-09-01

    The general Reservoir Study of the Western Shallow Oil Zone was prepared by Evans, Carey and Crozier as Task Assignment 009 with the United States Department of Energy. This study, Appendix II addresses the first Wilhelm Sands and its sub unites and pools. Basic pressure, production and assorted technical data were provided by the US Department of Energy staff at Elk Hills. These data were accepted as furnished with no attempt being made by Evans, Carey and Crozier for independent verification. This study has identified the petrophysical properties and the past productive performance of the reservoir. Primary reserves have been determined and general means of enhancing future recovery have been suggested. It is hoped that this volume can now additionally serve as a take off point for exploitation engineers to develop specific programs toward the end.

  11. DOE turns down all bids for Elk Hills crude

    SciTech Connect (OSTI)

    Not Available

    1992-03-30

    This paper reports that the U.S. Department of Energy has rejected all bids submitted in the Mar. 5 semiannual sale of crude oil from Elk Hills Naval Petroleum Reserve (NPR-1) in California. DOE the all 19 bids for the 53,740 b/d of crude were too low. The bids ranged from $11.71 to $14.06/bbl, with the top bids for the highest quality Stevens zone crude averaging $13.25/bbl. California oil companies the they bid what the market would bear, explaining a surplus of Alaskan crude on the West Coast has driven down the price of local crudes, notably heavy crudes. DOE will extend the current oil purchase contracts through April while it issues a new request for bids. It planned to issue the solicitation Mar. 23 and receive bids Apr. 15.

  12. Data, Feedback, & Awareness Lead to Big Energy Savings | Department...

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

    Data, Feedback, & Awareness Lead to Big Energy Savings Fact sheet describes how the Navy Region Southwest Metro San Diego Area (NRSMSD) regional energy management team achieved...

  13. Can Small Go Big? Microfluidics Aid Quest for Artificial Photosynthesi...

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

    Can Small Go Big? Microfluidics Aid Quest for Artificial Photosynthesis Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding...

  14. Big Thicket National Preserve: Trails to the Future 

    E-Print Network [OSTI]

    Anderson, Luke; Allen, Chris; Elrod, Leah; Forbes, Melissa; Harbin, Hannah; Stromm, Diann

    2003-01-01

    stream_source_info Big_Thicket.pdf.txt stream_content_type text/plain stream_size 292407 Content-Encoding ISO-8859-1 stream_name Big_Thicket.pdf.txt Content-Type text/plain; charset=ISO-8859-1 Capstone Project... The George Bush School of Government and Public Service Texas A&M University Big Thicket National Preserve: Trails to the Future By Luke Anderson Chris Allen Leah Elrod Melissa Forbes Hannah Harbin Diann Strom Big Thicket National Preserve...

  15. LDRD symposium focuses on materials in extremes, big data, and...

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

    LDRD symposium focuses on materials in extremes, big data, and energy use impacts | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission...

  16. The Big Picture on Process Heating | Department of Energy

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

    Big Picture on Process Heating (January 2001) More Documents & Publications Metal and Glass Manufacturers Reduce Costs by Increasing Energy Efficiency in Process Heating Systems...

  17. A different Big Bang theory: Los Alamos unveils explosives detection...

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

    unveils explosives detection expertise A different Big Bang theory: Los Alamos unveils explosives detection expertise A team of scientists is now rolling out a collaborative...

  18. Managing Research Data in Big Science

    E-Print Network [OSTI]

    Norman Gray; Tobia Carozzi; Graham Woan

    2012-07-17

    The project which led to this report was funded by JISC in 2010--2011 as part of its 'Managing Research Data' programme, to examine the way in which Big Science data is managed, and produce any recommendations which may be appropriate. Big science data is different: it comes in large volumes, and it is shared and exploited in ways which may differ from other disciplines. This project has explored these differences using as a case-study Gravitational Wave data generated by the LSC, and has produced recommendations intended to be useful variously to JISC, the funding council (STFC) and the LSC community. In Sect. 1 we define what we mean by 'big science', describe the overall data culture there, laying stress on how it necessarily or contingently differs from other disciplines. In Sect. 2 we discuss the benefits of a formal data-preservation strategy, and the cases for open data and for well-preserved data that follow from that. This leads to our recommendations that, in essence, funders should adopt rather light-touch prescriptions regarding data preservation planning: normal data management practice, in the areas under study, corresponds to notably good practice in most other areas, so that the only change we suggest is to make this planning more formal, which makes it more easily auditable, and more amenable to constructive criticism. In Sect. 3 we briefly discuss the LIGO data management plan, and pull together whatever information is available on the estimation of digital preservation costs. The report is informed, throughout, by the OAIS reference model for an open archive.

  19. Analytics over Large-Scale Multidimensional Data: The Big Data Revolution!

    E-Print Network [OSTI]

    Song, Il-Yeol

    Analytics over Large-Scale Multidimensional Data: The Big Data Revolution! Alfredo Cuzzocrea ICAR in the field of analytics over big data, and we extend the discussion to analytics over big multidimensional, Management, Performance, Theory Keywords Analytics over Big Data, Analytics over Big Multidimensional Data

  20. The Next Big Thing - Eric Haseltine

    ScienceCinema (OSTI)

    Eric Haseltine

    2010-01-08

    Eric Haseltine, Haseltine Partners president and former chief of Walt Disney Imagineering, presented "The Next Big Thing," on Sept. 11, at the ORNL. He described the four "early warning signs" that a scientific breakthrough is imminent, and then suggested practical ways to turn these insights into breakthrough innovations. Haseltine is former director of research at the National Security Agency and associate director for science and technology for the director of National Intelligence, former executive vice president of Walt Disney Imagineering and director of engineering for Hughes Aircraft. He has 15 patents in optics, special effects and electronic media, and more than 100 publications in science and technical journals, the web and Discover Magazine.

  1. Big Data | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar Energy LLC Jump to:Greece:BajoBelpower Srl JumpOpenRenewableBielat SantoreBig

  2. Protein Dynamics Hit the Big Screen

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeedingProgramExemptionsProtein Dynamics Hit the Big Screen Protein Dynamics Hit

  3. Big Blue Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowaWisconsin: EnergyYorkColoradoBelcher HomesBeverly,Lake, California:Big

  4. World Wide WebWWWDeep Web Web Deep Web

    E-Print Network [OSTI]

    Deep Web Web World Wide WebWWWDeep Web Web Deep Web Deep Web Deep Web Deep Web Deep Web 1 World Wide Web [1] Web 200,000TB Web Web Web Internet Web Web Web "" Surface Web Deep Web Surface Web 21.3% Surface Web Deep Web [2] Deep Web Web Crawler Deep Web 1 Web

  5. A deep earthquake goes supershear

    SciTech Connect (OSTI)

    Wilson, R. Mark

    2014-09-01

    Seismic analysis of an aftershock off Russia’s Kamchatka Peninsula offers evidence that deep earthquakes are more complicated than geoscientists realized.

  6. The Big Data Rush Practically every major funding agency is kindling (or rekindling) the idea of`big data'as key to solving

    E-Print Network [OSTI]

    Crawford, T. Daniel

    The Big Data Rush Practically every major funding agency is kindling (or rekindling) the idea of`big.TheWhite House has recently launched a major initiative in this space (Google for"Big Data Across the Federal Government") highlighting the pervasiveness of big data programs across multiple government units. The

  7. Purdue University Faculty Openings in Big Data Purdue University has identified Big Data as a major thrust for inter-disciplinary research and education.

    E-Print Network [OSTI]

    Kihara, Daisuke

    Purdue University Faculty Openings in Big Data Purdue University has identified Big Data as a major shape Purdue's vision and research/education agenda in Big Data. Candidates for tenure and tenure, and participate in interdisciplinary Big-Data activities. Salary and benefits are highly competitive, and Purdue

  8. 6 Scalable End-user Access to Big Data 1 6.1 The Data Access Problem of Big Data . . . . . . . . . . . . . . . . . . . . . 2

    E-Print Network [OSTI]

    Calvanese, Diego

    Contents 6 Scalable End-user Access to Big Data 1 6.1 The Data Access Problem of Big Data;Chapter 6 Scalable End-user Access to Big Data Martin Giese,1 Diego Calvanese,2 Peter Haase,3 Ian Horrocks-users typically face when dealing with Big Data: · They need to pose ad hoc queries to a collection of data

  9. Big SaaS: The Next Step Beyond Big Data Hong Zhu, Ian Bayley, M. Younas, David Lightfoot, Basel Yousef and Dongmei Liu

    E-Print Network [OSTI]

    Zhu, Hong

    Big SaaS: The Next Step Beyond Big Data Hong Zhu, Ian Bayley, M. Younas, David Lightfoot, Basel will integrate with the Internet of Things, Mobile Computing, Big Data, Wireless Sensor Networks, and many other and require Big Data but provide great value to the customer. With these benefits come great societal risks

  10. Intern experience at CH?M Hill, Inc.: an internship report 

    E-Print Network [OSTI]

    Winter, William John, 1949-

    2013-03-13

    (standards) imposed upon the mill by the State of Washington Department of Ecology and the U.S. Environmental Protection Agency. The author's assignment also entailed necessary interaction with the project manager and other CH?M HILL design...

  11. Microsoft Word - CH1311-11 CH2M HILL Awards $1B to Small Businesses

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

    price. Since receiving the contract in 2008, CH2M HILL awarded more than 1 billion in contracts to small businesses, representing 28 percent of the contract price to-date. Of...

  12. Joint DOE-CH2M HILL News Release Media Contact: For Immediate...

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

    price. Since receiving the contract in 2008, CH2M HILL awarded more than 1 billion in contracts to small businesses, representing 28 percent of the contract price to date....

  13. Rock-Water Interactions in the Fenton Hill, New Mexico, Hot Dry...

    Open Energy Info (EERE)

    Rock-Water Interactions in the Fenton Hill, New Mexico, Hot Dry Rock Geothermal Systems I. Fluid Mixing and Chemical Geothermometry Jump to: navigation, search OpenEI Reference...

  14. ICFT- An Initial Closed-Loop Flow Test of the Fenton Hill Phase...

    Open Energy Info (EERE)

    ICFT- An Initial Closed-Loop Flow Test of the Fenton Hill Phase II HDR Reservoir Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: ICFT- An Initial...

  15. Water-Gas Samples At Fenton Hill Hdr Geothermal Area (Goff &...

    Open Energy Info (EERE)

    Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Water-Gas Samples At Fenton Hill Hdr Geothermal Area (Goff & Janik, 2002) Redirect page Jump to:...

  16. Turkey Hill Dairy: Where Energy is Not Left Flapping in the Wind...

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

    Liberty Mint and Blitzburgh Crunch sold from Vermont to Florida, Turkey Hill Dairy is the fourth largest producer of ice cream in the United States. Now, nearly a quarter of the...

  17. Case Study Walnut Hill United Methodist Church - Dallas, Texas, Chiller Replacement Analysis 

    E-Print Network [OSTI]

    Phillips, J.

    1998-01-01

    In March of 1992 Walnut Hill United Methodist Church in Dallas, Tx. decided that their existing thermal storage and electric reciprocating chiller system were both in need of replacement. After analyzing several options, they chose to install 150...

  18. Restructuring the urban neighborhood : the dialogue between image and ideology in Phoenix Hill, Louisville, Kentucky

    E-Print Network [OSTI]

    Isaacs, Mark Andrew

    1980-01-01

    This thesis addresses the problems of restructuring the urban neighborhood as specifically applied to the Phoenix Hill community in Louisville, Kentucky. Theory and concepts are briefly presented as a basis for design ...

  19. Hadean-Archean transitions: Constraints from the Jack Hills detrital zircon record

    E-Print Network [OSTI]

    Bell, Elizabeth Ann

    2013-01-01

    Sr, Sm-Nd and Pb-Pb geochronology of ancient gneisses from1991. SHRIMP U-Pb zircon geochronology of the Narryer GneissAmelin, Y.V. , 1998. Geochronology of the Jack Hills

  20. University of the West Indies Cave Hill Campus, P.O. Boa: 64

    E-Print Network [OSTI]

    University of the West Indies Cave Hill Campus, P.O. Boa: 64 Barbados. West Indies Bellairs Resea previously (Fbr- ward 1974) in a Sherer! environmental chamber (Model CEL-44) on a 14:10 LD cycle

  1. 2004 Universities Federation for Animal Welfare The Old School, Brewhouse Hill, Wheathampstead,

    E-Print Network [OSTI]

    Indiana University

    S115 © 2004 Universities Federation for Animal Welfare The Old School, Brewhouse Hill by animals in choice tests and improvements in welfare is not straightfor- ward. A range of different

  2. EIS-0266: Glass Mountain/Four Mile Hill Geothermal Project, California

    Broader source: Energy.gov [DOE]

    The EIS analyzes BPA's proposed action to approve the Transmission Services Agreements (TSAs) and Power Purchase Agreements (PPAs) with Calpine Siskiyou Geothermal Partners, L.P. (Calpine) to acquire output from the Fourmile Hill Geothermal Development Project (Project).

  3. Los Alamos National Laboratory Investigates Fenton Hill to Support Future Land Use

    Broader source: Energy.gov [DOE]

    LOS ALAMOS, N.M. – Supporting future land use for the U.S. Forest Service, Los Alamos National Laboratory’s Corrective Actions Program (CAP) completed sampling soil at Fenton Hill in the Jemez Mountains this month.

  4. Deep Inelastic Neutrino Interactions

    E-Print Network [OSTI]

    S. Kretzer; M. H. Reno

    2003-06-30

    Understanding neutrino interactions is an important task in searches for neutrino oscillations; e.g. the nu_{mu} -> nu_{tau} oscillation hypothesis will be tested through nu_{tau} production of tau in long-baseline experiments as well as underground neutrino telescopes. An anomaly in the deep inelastic interaction of neutrinos has recently been observed by the NuTeV collaboration -- resulting in a measured weak mixing angle sin^2 Theta_{W} that differs by ~ 3 sigma from the standard model expectation. In this contribution to the proceedings of NUINT02, we summarize results on the NLO neutrino structure functions and cross sections in which charm quark mass and target mass effects in the collinear approximation are included.

  5. Method of deep drilling

    DOE Patents [OSTI]

    Colgate, Stirling A. (4616 Ridgeway, Los Alamos, NM 87544)

    1984-01-01

    Deep drilling is facilitated by the following steps practiced separately or in any combination: (1) Periodically and sequentially fracturing zones adjacent the bottom of the bore hole with a thixotropic fastsetting fluid that is accepted into the fracture to overstress the zone, such fracturing and injection being periodic as a function of the progression of the drill. (2) Casing the bore hole with ductile, pre-annealed casing sections, each of which is run down through the previously set casing and swaged in situ to a diameter large enough to allow the next section to run down through it. (3) Drilling the bore hole using a drill string of a low density alloy and a high density drilling mud so that the drill string is partially floated.

  6. Review: Eco-Business: A Big-Brand Takeover of Sustainability

    E-Print Network [OSTI]

    Laberge, Yves

    2015-01-01

    Big-Brand Takeover of Sustainability By Peter Dauvergne andA Big-Brand Takeover of Sustainability. Cambridge, MA: MITA Big-Brand Takeover of Sustainability is a very important

  7. Bid & Open Data position paper 1 / 47 Big and Open data

    E-Print Network [OSTI]

    Morik, Katharina

    Bid & Open Data position paper 1 / 47 Big and Open data Position Paper #12;Bid & Open Data position ..................................................................................................................5 II- Challenges with BIG/OPEN DATA ..............................................................................6 III- Technical approaches to Big Data

  8. Recommendations for Technologies for Microgrids on the Big Island

    E-Print Network [OSTI]

    Recommendations for Technologies for Microgrids on the Big Island Prepared for U.S. Department Island microgrids By Sentech, Inc. Bethesda, Maryland And University of Hawaii Hawaii Natural Energy for technologies to be used in future installation of Big Island microgrids Subtask 2.2 Deliverable #4 Prepared By

  9. SCIENCE IN HIGH DIMENSIONS: MULTIPARAMETER MODELS AND BIG DATA

    E-Print Network [OSTI]

    Sethna, James P.

    SCIENCE IN HIGH DIMENSIONS: MULTIPARAMETER MODELS AND BIG DATA A Dissertation Presented #12;SCIENCE IN HIGH DIMENSIONS: MULTIPARAMETER MODELS AND BIG DATA Ricky Chachra, Ph.D. Cornell parameters as well as a large-dimensional space of predicted data. These high-dimensional spaces of inputs

  10. "Developing the infrastructure and skills needed to handle big data."

    E-Print Network [OSTI]

    Zhigilei, Leonid V.

    "Developing the infrastructure and skills needed to handle big data." Don Brown W.S. Calcott Engineering University of Virginia Charlottesville, VA 434.982.2074 Big Data Research Group Our research group and uncertain behaviors. Methodological interests in these areas include data- mining, simulation

  11. Economic Impact of New Residents in Big Stone,

    E-Print Network [OSTI]

    Minnesota, University of

    Economic Impact of New Residents in Big Stone, Chippewa, Lac Qui Parle, Swift, and Yellow of Minnesota Extension Center for Community Vitality August 2011 1 ECONOMIC IMPACT ANALYSIS An Extension Community Economics Program #12; Economic Impact of New Residents: Big Stone, Chippewa, Lac Qui

  12. Synoptic Observing Programs at Big Bear Solar Observatory

    E-Print Network [OSTI]

    Synoptic Observing Programs at Big Bear Solar Observatory Haimin Wang and Philip R. Goode Big Bear and en- hance the comprehensive synoptic observing programs at BBSO, which include the following ve studies. Statistical studies on sunspot areas and magnetic shear are among the highlights of this research

  13. Rethinking Abstractions for Big Data: Why, Where, How, and What

    E-Print Network [OSTI]

    ) and applications communities. However, scale is only one aspect of current big data trends; fundamentally, current that is being addressed. The "big data challenge" has disrupted computer science by stressing to the very limits heterogeneous and specialized units, with resilience and energy becoming important considerations. The design

  14. Horizontal wells improve recovery at the Elk Hills Petroleum Reserve

    SciTech Connect (OSTI)

    Rintoul, B.

    1995-11-01

    In 1988 the US Department of Energy and Bechtel implemented a program to slow production declines in the Elk Hills 26R pool sand of the Naval Petroleum Reserve No. 1. It was also hoped horizontal wells would increase the production rate, decrease gas production and extend economic life of the reservoir. The Stevens sand pool targeted for the project is a high-quality, sand-rich turbidite channel system encapsulated within Miocene Monterey siliceous shales, mudstones and associated sediments. The pool is about 3-miles long by 3/4-mile wide. The paper describes the specifications and drilling of the first four out of the 14 horizontal wells drilled at this facility. Horizontal drilling technology has completely altered the future of the 26R pool. In 1980 estimated ultimate recovery (EUR) from the sand was 211 million bbl. With the latest horizontal well drilling campaign, the pool is expected to pass that estimate in 1997 when oil production is forecasted to be at least 13,000 b/d. EUR form the 26R sand now is more than 250 million bbl, and even that estimate is being revised upward.

  15. Astrogenomics: big data, old problems, old solutions?

    E-Print Network [OSTI]

    Golden, Aaron; Greally, John M

    2013-01-01

    The ominous warnings of a `data deluge' in the life sciences from high-throughput DNA sequencing data are being supplanted by a second deluge, of cliches bemoaning our collective scientific fate unless we address the genomic data `tsunami'. It is imperative that we explore the many facets of the genome, not just sequence but also transcriptional and epigenetic variability, integrating these observations in order to attain a genuine understanding of how genes function, towards a goal of genomics-based personalized medicine. Determining any individual's genomic properties requires comparison to many others, sifting out the specific from the trends, requiring access to the many in order to yield information relevant to the few. This is the central big data challenge in genomics that still requires some sort of resolution. Is there a practical, feasible way of directly connecting the scientific community to this data universe? The best answer could be in the stars overhead.

  16. New Nuclear Physics for Big Bang Nucleosynthesis

    E-Print Network [OSTI]

    Richard N. Boyd; Carl R. Brune; George M. Fuller; Christel J. Smith

    2010-08-04

    We discuss nuclear reactions which could play a role in Big Bang Nucleosynthesis (BBN). Most of these reactions involve lithium and beryllium isotopes and the rates for some of these have not previously been included in BBN calculations. Few of these reactions are well studied in the laboratory. We also discuss novel effects in these reactions, including thermal population of nuclear target states, resonant enhancement, and non-thermal neutron reaction products. We perform sensitivity studies which show that even given considerable nuclear physics uncertainties, most of these nuclear reactions have minimal leverage on the standard BBN abundance yields of 6Li and 7Li. Although a few have the potential to alter the yields significantly, we argue that this is unlikely.

  17. DMP Planning for Big Science Projects

    E-Print Network [OSTI]

    Juan Bicarregui; Norman Gray; Rob Henderson; Roger Jones; Simon Lambert; Brian Matthews

    2012-08-18

    This report exists to provide high-level guidance for the strategic and engineering development of Data Management and Preservation plans for 'Big Science' data. Although the report's nominal audience is therefore rather narrow, we intend the document to be of use to other planners and data architects who wish to implement good practice in this area. For the purposes of this report, we presume that the reader is broadly persuaded (by external fiat if nothing else) of the need to preserve research data appropriately, and that they have both sophisticated technical support and the budget to support developments. The goal of the document is not to provide mechanically applicable recipes, but to allow the user to develop and lead a high-level plan which is appropriate to their organisation. Throughout, the report is informed where appropriate by the OAIS reference model.

  18. CTA telescopes as deep-space lasercom ground receivers

    E-Print Network [OSTI]

    Carrasco-Casado, Alberto; Vergaz, Ricardo

    2015-01-01

    The amount of scientific data to be transmitted from deep-space probes is very limited due to RF-communications constraints. Free-space optical communication can alleviate this bottleneck, increasing data rate while reducing weight, mass and power of communication onboard equipment. Nevertheless, optimizing the power delivery from spacecraft to Earth is needed. In RF communications, the strategy has been to increase the aperture of ground terminals. Free-space optical communications can also follow it, as they share the limitation of low power received on Earth. As the cost of big telescopes increases exponentially with aperture, new ideas are required to maximize the aperture-to-cost ratio. This work explores the feasibility of using telescopes of the future Cherenkov Telescope Array as optical-communication ground stations. Ground-based gamma-ray astronomy has the same power limitation, hence Cherenkov telescopes are designed to maximize receiver's aperture with minimum cost and some relaxed requirements. B...

  19. Deep water gives up another secret

    E-Print Network [OSTI]

    Manning, CE

    2013-01-01

    COMMENTARY Deep water gives up another secret Craig E.important properties at deep-earth conditions: its dielec-magmas carry water from the deep interior. Water in?u- ences

  20. Dry gas zone, Elk Hills Field, Kern County, California: General reservoir study: Engineering data, effective August 1, 1988

    SciTech Connect (OSTI)

    Not Available

    1989-01-10

    This reservoir study of the dry gas zone of Elk Hills Field is a data compilation with information relating to well: completion; production; pressure; and back pressure. (JF)

  1. Wireless Magnetothermal Deep Brain Stimulation

    E-Print Network [OSTI]

    Chen, Ritchie

    Wireless deep brain stimulation of well-defined neuronal populations could facilitate the study of intact brain circuits and the treatment of neurological disorders. Here we demonstrate minimally-invasive and remote neural ...

  2. Big Earth observation data analytics for land use and land cover change information

    E-Print Network [OSTI]

    Camara, Gilberto

    .......................................................................................... 3 2.2 CONTRIBUTION TO COMPUTER SCIENCE: BIG DATA IN GEOINFORMATICS

  3. Machine-Learning for Big Data: Sampling and Distributed On-Line Algorithms

    E-Print Network [OSTI]

    Combettes, Patrick Louis

    Machine-Learning for Big Data: Sampling and Distributed On-Line Algorithms Stéphan Clémençon LTCI variance control: rate faster than n 1/2 3 Convex risk minimization 4 Oracle inequalities #12;Big Data? Big phones, internet, embedded systems, social networks, . . .) · to store and manage Big (and Complex) Data

  4. IEEE Signal Processing Magazine, Special Issue: Big Data 1 Breaking the Curse of Dimensionality using

    E-Print Network [OSTI]

    IEEE Signal Processing Magazine, Special Issue: Big Data 1 Breaking the Curse of Dimensionality will discuss two promising tools to alleviate this curse when handling big data. First, instead of using full, Special Issue: Big Data 2 paper we show how to use this expertise to manage otherwise unmanageable big

  5. November2012 IU Bloomington Pascal Hitzler Semantic Web and Big Data

    E-Print Network [OSTI]

    Hitzler, Pascal

    November2012 ­ IU Bloomington ­ Pascal Hitzler Semantic Web and Big Data ­ Opportunities://www.pascal-hitzler.de/ #12;November2012 ­ IU Bloomington ­ Pascal Hitzler 2 Contents · Big Data, Linked Data, Semantic Web · The Big Data Added Value Pipeline · Fragments #12;November2012 ­ IU Bloomington ­ Pascal Hitzler 3 Big

  6. Big Data is Not About the Data! Institute for Quantitative Social Science

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    Big Data is Not About the Data! Gary King1 Institute for Quantitative Social Science Harvard Value in Big Data: the Analytics 2/10 #12;The Value in Big Data: the Analytics · Data: 2/10 #12;The Value in Big Data: the Analytics · Data: · easy to come by; often a free byproduct of IT improvements 2

  7. Efficient and Customizable Data Partitioning Framework for Distributed Big RDF Data Processing in the Cloud

    E-Print Network [OSTI]

    Liu, Ling

    Efficient and Customizable Data Partitioning Framework for Distributed Big RDF Data Processing}@gatech.edu Abstract--Big data business can leverage and benefit from the Clouds, the most optimized in processing big data in the Clouds is how to effectively partition the big data to ensure efficient

  8. Closing the Loop on Big Data Rob Nowak www.ece.wisc.edu/~nowak

    E-Print Network [OSTI]

    Qiu, Robert Caiming

    Closing the Loop on Big Data data Rob Nowak www.ece.wisc.edu/~nowak NSF Big Data Workshop March 21, 2013 #12;model space questions /queries "training data" BIG DATA: A Marriage of Machine and Man Human Judgements labeling, annotation, comparisons #12;model space questions /queries "training data" BIG DATA

  9. Big and Small Ideas: How to Lower Solar Financing Costs

    Broader source: Energy.gov [DOE]

    DOE hosted the "Big & Small Ideas: How to Lower Solar Financing Costs" breakout session during the SunShot Grand Challenge Summit and Technology Forum. This session explored a range of...

  10. The seasonality of aerosol properties in Big Bend National Park 

    E-Print Network [OSTI]

    Allen, Christopher Lee

    2007-04-25

    ), to characterize the seasonal variability of the Big Bend regions aerosol optical properties. Mass extinction efficiencies and relative humidity scattering enhancement factors were calculated for both externally and internally mixed aerosol populations for all size...

  11. Eliot Feibush leads new Princeton consortium to visualize Big...

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

    Eliot Feibush leads new Princeton consortium to visualize Big Data By John Greenwald April 22, 2015 Tweet Widget Google Plus One Share on Facebook Eliot Feibush (Photo by Elle...

  12. Scalable multi-access flash store for Big Data analytics

    E-Print Network [OSTI]

    Jun, Sang-Woo

    2014-01-01

    For many "Big Data" applications, the limiting factor in performance is often the transportation of large amount of data from hard disks to where it can be processed, i.e. DRAM. In this work we examine an architecture for ...

  13. EIS-0377: Big Stone II Power Plant and Transmission Project

    Broader source: Energy.gov [DOE]

    A systems study was carried out to identify the most appropriate locations to interconnect the proposed Big Stone II power plant to the regional utility grid. The study also identified transmission...

  14. Thoughts About Really Big Computers | Argonne Leadership Computing...

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

    Thoughts About Really Big Computers Event Sponsor: Leadership Facility Seminar Start Date: Jun 30 2015 - 10:30am BuildingRoom: Building 240Room 1407 Location: Argonne National...

  15. Taking Battery Technology from the Lab to the Big City

    Broader source: Energy.gov [DOE]

    A small New York City startup is hoping it has the next big solution in energy storage. A video documents what the company's breakthrough means for the future of grid-scale energy storage.

  16. LiBeB and Big Bang Nucleosynthesis

    E-Print Network [OSTI]

    Keith A. Olive; Brian D. Fields

    1999-02-20

    The dual origin of population II Li7, in both big bang nucleosynthesis and galactic cosmic-ray nucleosynthesis is discussed. It is argued that with additional Li6 data, stringent limits on the degree of Li7 depletion can be obtained. Li7 depletion is also constrained by the concordance of big bang predictions with observational determinations of light element abundances. Stringent limits can also be obtained for a fixed primordial D/H abundance.

  17. The DEEP2 Galaxy Redshift Survey: Overview

    E-Print Network [OSTI]

    The DEEP2 Galaxy Redshift Survey: Overview David C. Koo & DEEP2 Team UCO/Lick Observatory. Univ. of California, Santa Cruz AAS Seattle Jan 2003 DEIMOSKECK #12;l What is DEEP2 ? l What are its Scientific Goals? l What is its Current Status? #12;The DEEP2 Collaboration Team Members: M. Davis (PI, UCB), S. Faber

  18. SEQUENTIAL DEEP BELIEF NETWORKS Galen Andrew

    E-Print Network [OSTI]

    Noble, William Stafford

    SEQUENTIAL DEEP BELIEF NETWORKS Galen Andrew University of Washington Department of Computer bilmes@ee.washington.edu ABSTRACT Previous work applying Deep Belief Networks (DBNs) to problems sequential information in the hidden layers. Index Terms-- deep learning, deep belief network, phone recog

  19. Big Bang or Big Bounce? Professor Paul J. Steinhardt Princeton University

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O OLaura| National2.11DESERTWaterSharingBeyondBang or Big

  20. WebDeep Web Surface Web

    E-Print Network [OSTI]

    Web WebWeb WebWeb WebHTML Web WebDeep Web Surface Web " " Deep Web21 Dot-ComWebWeb2.0 WebWeb ""Web WebWeb Deep Web WebWeb SNS Web WebWeb 20017BrightPlanet.comDeep Web Web43,000-96,000Web7,500TB(Surface Web500) UIUCDeep Web2004Deep Web 307,000366,000-535,000 WebDeep Web "" Deep Web 1 Web Web #12

  1. Elk Hills endangered and threatened species program: Phase 1 progress summary

    SciTech Connect (OSTI)

    O'Farrell, T.P.

    1980-03-01

    The endangered San Joaquin kit fox, Vulpes macrotis mutica, and bluntnosed leopard lizard, Crotaphytus silus, are known to occur on the Elk Hills Naval Petroleum Reserve, NPR-1. An integrated, multiphased field program was designed to gather, synthesize, and interpret ecological information necessary for Biological Assessments required by the Secretary of Interior. These assessments will be used as the basis for a formal consultation with the Department of Interior to determine whether DOE activities on Elk Hills are compatible with the continued existence of the two species. Transects totalling 840 km were walked through all sections of Elk Hills to determine: (1) the presence and relative densities of endangered or threatened species; (2) past and potential impacts of NPR-1 activities on endangered and threatened species; and (3) the potential application of remote sensing for gathering necessary data.

  2. The Silent Deep: The Discovery, Ecology and Conservation of the Deep Sea.

    E-Print Network [OSTI]

    Koehl, Mimi

    The Silent Deep: The Discovery, Ecology and Conservation of the Deep Sea. By Tony Koslow. Chicago and Tyler's excellent textbook, Deep-Sea Biology: A Natural History of Organisms at the Deep- Sea Floor and line drawings of deep-sea organisms and exploration give it broad appeal. The text is deceptive

  3. Evolution of Spheroidal Galaxies at z Deep Extragalactic Evolutionary Probe (DEEP)

    E-Print Network [OSTI]

    Evolution of Spheroidal Galaxies at z Deep Extragalactic Evolutionary Probe (DEEP) Myungshin Im 1 and DEEP team 2 UCO/Lick Observatory, UCSC, Santa Cruz, CA 95064 Abstract. DEEP is a multi about DEEP, see an article by D.C. Koo in this conference proceedings). So far, our data consist

  4. POPULATION ESTIMATION PROCEDURES FOR ELK AND DEER IN THE BLACK HILLS, SOUTH DAKOTA: DEVELOPMENT OF A SIGHTABILITY

    E-Print Network [OSTI]

    POPULATION ESTIMATION PROCEDURES FOR ELK AND DEER IN THE BLACK HILLS, SOUTH DAKOTA: DEVELOPMENT PROCEDURES FOR ELK AND DEER IN THE BLACK HILLS, SOUTH DAKOTA: DEVELOPMENT OF A SIGHTABILITY MODEL my masters in elk research. It has been a wonderful learning and growing experience for which I am

  5. Forestry and Farming System In the Mid-Hills of Nepal

    E-Print Network [OSTI]

    Upadhyay, Kiran Dutta

    1993-01-01

    material to provide food for the huusehold members, heafs, kids to the farming hou;ehold and also dung for composting and recycling, and of income to the far­ ming households Earlier than 1950's sufficient areas of pasture and forest were available... -Hills has been converted into bush land. Trees are overcut, lopped and forest IIoor is overgrazed. The situation is, in fact, worse than what available figures suggest, because many areas of the Hills, now classified under forest, are in fact degraded waste...

  6. Quasars and the Big Blue Bump

    E-Print Network [OSTI]

    Zhaohui Shang; Michael S. Brotherton; Richard F. Green; Gerard A. Kriss; Jennifer Scott; Jessica Kim Quijano; Omer Blaes; Ivan Hubeny; John Hutchings; Mary Elizabeth Kaiser; Anuradha Koratkar; William Oegerle; Wei Zheng

    2004-09-29

    We investigate the ultraviolet-to-optical spectral energy distributions (SEDs) of 17 active galactic nuclei (AGNs) using quasi-simultaneous spectrophotometry spanning 900-9000 Angstrom (rest frame). We employ data from the Far Ultraviolet Spectroscopic Explorer (FUSE), the Hubble Space Telescope (HST), and the 2.1-meter telescope at Kitt Peak National Observatory (KPNO). Taking advantage of the short-wavelength coverage, we are able to study the so-called "big blue bump," the region where the energy output peaks, in detail. Most objects exhibit a spectral break around 1100 Angstrom. Although this result is formally associated with large uncertainty for some objects, there is strong evidence in the data that the far-ultraviolet spectral region is below the extrapolation of the near-ultraviolet-optical slope, indicating a spectral break around 1100 Angstrom. We compare the behavior of our sample to those of non-LTE thin-disk models covering a range in black-hole mass, Eddington ratio, disk inclination, and other parameters. The distribution of ultraviolet-optical spectral indices redward of the break, and far-ultraviolet indices shortward of the break, are in rough agreement with the models. However, we do not see a correlation between the far-ultraviolet spectral index and the black hole mass, as seen in some accretion disk models. We argue that the observed spectral break is intrinsic to AGNs, although intrinsic reddening as well as Comptonization can strongly affect the far-ultraviolet spectral index. We make our data available online in digital format.

  7. Does Big Oil Collude and Price Gouge? Big Oil came back into the headlines in recent weeks with another spike in gasoline

    E-Print Network [OSTI]

    Ahmad, Sajjad

    with another spike in gasoline prices and their reported record profits. Some months ago, during the last gasoline price spike, Congress summoned the executives of the Big Oil companies to testify aboutDoes Big Oil Collude and Price Gouge? Big Oil came back into the headlines in recent weeks

  8. 1 Big Data and User Valuation: a Synergistic Combination Big data analytics is the problem of bringing the massive amounts of data produced today down to human

    E-Print Network [OSTI]

    1 Big Data and User Valuation: a Synergistic Combination Big data analytics is the problem will require fundamental advances in big data analytics. arXiv Topic Models User Models Predicted Preferences of bringing the massive amounts of data produced today down to human scale. This problem is faced

  9. Rethinking Abstractions for Big Data: Why, Where, How, and What

    E-Print Network [OSTI]

    Mary Hall; Robert M. Kirby; Feifei Li; Miriah Meyer; Valerio Pascucci; Jeff M. Phillips; Rob Ricci; Jacobus Van der Merwe; Suresh Venkatasubramanian

    2013-06-14

    Big data refers to large and complex data sets that, under existing approaches, exceed the capacity and capability of current compute platforms, systems software, analytical tools and human understanding. Numerous lessons on the scalability of big data can already be found in asymptotic analysis of algorithms and from the high-performance computing (HPC) and applications communities. However, scale is only one aspect of current big data trends; fundamentally, current and emerging problems in big data are a result of unprecedented complexity--in the structure of the data and how to analyze it, in dealing with unreliability and redundancy, in addressing the human factors of comprehending complex data sets, in formulating meaningful analyses, and in managing the dense, power-hungry data centers that house big data. The computer science solution to complexity is finding the right abstractions, those that hide as much triviality as possible while revealing the essence of the problem that is being addressed. The "big data challenge" has disrupted computer science by stressing to the very limits the familiar abstractions which define the relevant subfields in data analysis, data management and the underlying parallel systems. As a result, not enough of these challenges are revealed by isolating abstractions in a traditional software stack or standard algorithmic and analytical techniques, and attempts to address complexity either oversimplify or require low-level management of details. The authors believe that the abstractions for big data need to be rethought, and this reorganization needs to evolve and be sustained through continued cross-disciplinary collaboration.

  10. Western Shallow Oil Zone, Elk Hills Field, Kern County, California: General Reservoir Study, Executive Summary: Bittium, Wilhelm, Gusher, and Calitroleum Sands

    SciTech Connect (OSTI)

    Carey, K.B.

    1987-12-22

    The general Reservoir Study of the Western Shallow Oil Zone was prepared by Evans, Carey and Crozier as Task Assignment 009 with the United States Department of Energy. The study addresses the Bittium Wilhelm, Gusher, and Calitroleum Sands and their several sub units and pools. A total of twenty-eight (28) separate reservoir units have been identified and analyzed. Areally, these reservoirs are located in 31 separate sections of land including and lying northwest of sections 5G, 8G, and 32S, all in the Elk Hills Oil Fileds, Naval Petroleum Reserve No. 1, Kern County California. Vertically, the reservoirs occur as shallow as 2600 feet and as deep as 4400 feet. Underlying a composite productive area of about 8300 acres, the reservoirs originally contained an estimated 138,022,000 stock tank barrels of oil, and 85,000 MMCF of gas, 6300 MMCF of which occurred as free gas in the Bittium and W-1B Sands. Since original discovery in April 1919, a total of over 500 wells have been drilled into or through the zones, 120 of which were completed as Western Shallow Oil Zone producers. Currently, these wells are producing about 2452 barrels of oil per day, 1135 barrels of water per day and 5119 MCF of gas per day from the collective reservoirs. Basic pressure, production and assorted technical data were provided by the US Department of Energy staff at Elk Hills. These data were accepted as furnished with no attempt being made by Evans, Carey and Crozier for independent vertification. This study has successfully identified the size and location of all commercially productive pools in the Western Shallow Oil Zone. It has identified the petrophysical properties and the past productive performance of the reservoirs. Primary reserves have been determined and general means of enhancing future recovery have been suggested. 11 figs., 8 tabs.

  11. BIOGRAPHICAL SKETCH OF MARK E. LUTHER Education: University of North Carolina at Chapel Hill, A.B., Mathematics and Physics, 1976;

    E-Print Network [OSTI]

    Meyers, Steven D.

    BIOGRAPHICAL SKETCH OF MARK E. LUTHER Education: University of North Carolina at Chapel Hill, A.B., Mathematics and Physics, 1976; University of North Carolina at Chapel Hill, M.S., Physical Oceanography, 1980; University of North Carolina at Chapel Hill, Ph.D., Physical Oceanography, 1982 Professional Background

  12. Application of horizontal drilling in the development of a complex turbidite sandstone reservoir, Elk Hills Field, Kern County, California

    SciTech Connect (OSTI)

    Reid, S.A. (Bechtel Petroleum Operations, Inc., Tupman, CA (USA)); McJannet, G.S. (Dept. of Energy, Tupman, CA (USA)); Hart, O.D. (Chevron Inc., Tupman, CA (USA))

    1990-05-01

    Horizontal drilling techniques have been used at the Elk Hills field, to more effectively produce the complex 26R reservoir. This Stevens zone reservoir of the Miocene Monterey Formation contains turbid sediments deposited in a deep-sea fan setting and consists of several distinct sandstone layers averaging 150 ft thick and usually separated by mudstone beds. Layers in the reservoir dip as much as 50{degree} southwest. An expanding gas cap makes many vertical wells less favorable to operate. Horizontal completions were thought ideal for the pool because (1) original oil-water contact is level and believed stable, (2) water production is low, (3) a horizontal well provides for a long production life; and (4) several sandstone layers can be produced through one well. For the first well, the plan was to redrill an idle well to horizontal along an arc with a radius of 350 ft. The horizontal section was to be up to 1,000 ft long and extend northeast slightly oblique to dip just above the average oil-water contact. The well was drilled in September 1988, reached horizontal nearly as planned, was completed after perforating 210 ft of oil sand, and produced a daily average of 1,000 bbl oil and 8 bbl of water. However, structural influence was stronger than expected, causing the horizontal drill path to turn directly updip away from the bottom-hole target area. The well also encountered variable oil-water contacts, with more than half the horizontal section possibly water productive. Geologic and drilling data from the first well were used for planning another well. This well was drilled in October 1989, and was highly successful with over 1,000 ft of productive interval.

  13. VBA-0033- In the Matter of Kaiser-Hill Company, L.L.C.

    Broader source: Energy.gov [DOE]

    On August 26 and 27, 1999, Kaiser-Hill Company, L.L.C. (K-H) and EG&G Rocky Flats, Inc. (EG&G) respectively filed Notices of Appeal from an Initial Agency Decision by a Hearing Officer from...

  14. The Alexandria Digital Library Project: Metadata Development and Linda L. Hill and Greg Jane

    E-Print Network [OSTI]

    Janée, Greg

    The Alexandria Digital Library Project: Metadata Development and Use Linda L. Hill and Greg Janée lhill@alexandria.ucsb.edu and gjanee@alexandria.ucsb.edu Alexandria Digital Library Project University of California, Santa Barbara Introduction The Alexandria Digital Library (ADL) Project has the unique advantage

  15. The 26 December (Boxing Day) 1997 sector collapse and debris avalanche at Soufriere Hills Volcano, Montserrat

    E-Print Network [OSTI]

    Belousov, Alexander

    , Russia 5 Institut de Physique du Globe de Paris (IPGP), 4 Place Jussieu, B 89, 75252 Cedex 05 Paris & Mullineaux 1981). At Soufriere Hills, an andesilic lava dome had grown over the unstable, hydro- thermally dome was exposed and depressurized, and it exploded to generate a powerful pyroclastic density current

  16. UNC-Chapel Hill, COMP 145 Team 18:The Kalman Filter Learning Tool

    E-Print Network [OSTI]

    Welch, Greg

    the modeled (Kalman filter) formulations. 1.1.1 Constant In this case, the water level does not change) the discrete time process noise matrix is (5) where , for the full water level . The filter update equationsUNC-Chapel Hill, COMP 145 Team 18:The Kalman Filter Learning Tool Dynamic and Measurement Models

  17. Test-Taking Strategies compiled by Sheila Kannappan, UNC Chapel Hill Physics & Astronomy

    E-Print Network [OSTI]

    Kannappan, Sheila

    Test-Taking Strategies compiled by Sheila Kannappan, UNC Chapel Hill Physics & Astronomy General* immediately before the test. 3. Know the rubric/grading style of your grader as well as the relative importance of the test. 4. Read all problems and go for the easiest ones first (based on ALL parts). 5. Watch

  18. Transparent Mode Flip-Flops for Collapsible Pipelines Eric L. Hill and Mikko H. Lipasti

    E-Print Network [OSTI]

    Lipasti, Mikko H.

    Transparent Mode Flip-Flops for Collapsible Pipelines Eric L. Hill and Mikko H. Lipasti University of Wisconsin - Madison {elhill, mikko}@ece.wisc.edu Abstract Prior work has shown that collapsible pipelining% of the dynamic power in modern high performance microprocessors. Previous collapsible pipeline proposals either

  19. Page 1 of 5 The University of North Carolina at Chapel Hill

    E-Print Network [OSTI]

    McLaughlin, Richard M.

    Page 1 of 5 The University of North Carolina at Chapel Hill Residence Status Supplemental Form for the Marital Provision Under North Carolina law, married persons are neither favored nor disadvantaged by being provision that allows an applicant who marries a North Carolina legal resident and who becomes domiciled

  20. RSC DECISION THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL AO DECISION

    E-Print Network [OSTI]

    McLaughlin, Richard M.

    RSC DECISION THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL AO DECISION Application for Residence North Carolina law, bona fide legal residents (domiciliaries) of North Carolina are eligible for a lower are available for inspection in admissions offices. North Carolina statute (G.S. 116-143) requires: "To qualify

  1. Page 1 of 4 The University of North Carolina at Chapel Hill

    E-Print Network [OSTI]

    McLaughlin, Richard M.

    Page 1 of 4 The University of North Carolina at Chapel Hill Residence Status Supplemental Form) they are stationed in North Carolina for active duty military service or live with a service member who is stationed in North Carolina for active duty military service, or (2) they are residents of North Carolina but have

  2. Page 1 of 4 The University of North Carolina at Chapel Hill

    E-Print Network [OSTI]

    McLaughlin, Richard M.

    Page 1 of 4 The University of North Carolina at Chapel Hill Residence Status Supplemental Form). For the tuition waiver to apply, the deceased or disabled law enforcement/emergency worker must have been a North Carolina legal resident at the time of death or injury. Furthermore, disabled law enforcement

  3. Dating of Sand Dunes Using Cosmogenic Chlorine-36: An Example From the Nebraska Sand Hills, USA

    E-Print Network [OSTI]

    Zreda, Marek

    Dating of Sand Dunes Using Cosmogenic Chlorine-36: An Example From the Nebraska Sand Hills, USA Stephen Moysey, Marek Zreda and Jim Goeke The large-scale mobility of sand dunes in continental dune of the history of a dune field can therefore, provide a proxy climate record derived from the continental plains

  4. Testing the Hill model of transpolar potential with Super Dual Auroral Radar Network observations

    E-Print Network [OSTI]

    Shepherd, Simon

    as a function of solar wind speed and ram pressure, the interplanetary magnetic field, the reconnection electric electric potential and is an important indicator of the amount of energy flowing into and throughTesting the Hill model of transpolar potential with Super Dual Auroral Radar Network observations S

  5. Software Tamper Resistance: Obstructing Static Analysis of Chenxi Wang, Jonathan Hill, John Knight, Jack Davidson

    E-Print Network [OSTI]

    Huang, Wei

    1 Software Tamper Resistance: Obstructing Static Analysis of Programs Chenxi Wang, Jonathan Hill this represents a significant hurdle for code optimization, it provides a theoretical basis for structuring tamper if the decryption process takes place on the same host. What is needed, in this case, is tamper resistant software

  6. SURVIVAL AND HOME RANGE CHARACTERISTICS OF MERRIAM'S TURKEY GOBBLERS IN THE SOUTHERN BLACK HILLS, SOUTH DAKOTA

    E-Print Network [OSTI]

    SURVIVAL AND HOME RANGE CHARACTERISTICS OF MERRIAM'S TURKEY GOBBLERS IN THE SOUTHERN BLACK HILLS;ii SURVIVAL AND HOME RANGE CHARACTERISTICS OF MERRIAM'S TURKEY GOBBLERS IN THE SOUTHERN BLACK l. I thank all fellow graduate students who helped trap turkeys and for making the office an enjoyable

  7. A Socioeconomic Profile of the Poters in the Central Mid-Hills of Nepal

    E-Print Network [OSTI]

    Upadhyay, Kiran Dutta

    1990-01-01

    size of such holdings is less than 0 5 ha. While the hills and mountains support 65 percent of Ute total . population of Nepal. they consist only 43 percent of Ute cultivated land. This comes of an average of 0.12 ha. per person (CBS 1987:vtl­ Ix). lnc.eas...

  8. Highway 280 North or South Take the Sand Hill Road exit, head east

    E-Print Network [OSTI]

    Ford, James

    Highway 280 North or South · Take the Sand Hill Road exit, head east · Turn right on Stock Farm for "all" below From Bayshore US Highway 101 NorthFrom Bayshore US Highway 101 North or South · Take · Turn left on Stock Farm Road LKSC ParkingTurn left on Stock Farm Road · Make the next lefthand turn

  9. Particle Swarm Optimization Approach with Parameter-wise Hill-climbing Heuristic for Task

    E-Print Network [OSTI]

    Ludwig, Simone

    addressed the task allocation problem made use of Particle Swarm Optimization (PSO). This paper further improves the performance of PSO by combining PSO with a local search heuristic. In particular, PSO with a parameter-wise hill-climbing heuristic (PSO-HC) for the execution of computationally-intensive as well as I

  10. Lithium isotopic systematics of granites and pegmatites from the Black Hills, South Dakota

    E-Print Network [OSTI]

    Rudnick, Roberta L.

    Lithium isotopic systematics of granites and pegmatites from the Black Hills, South Dakota Fang compositions may reflect Li isotopic fractionation resulting from extensive crystal-melt fractionation. Lithium fractionation in the near­surface environment of > 60 (Tomascak, 2004). Lithium isotopic fractionation has been

  11. Hill Climbing Algorithms for Content-Based Retrieval of Similar Configurations

    E-Print Network [OSTI]

    Papadias, Dimitris

    Hill Climbing Algorithms for Content-Based Retrieval of Similar Configurations Dimitris Papadias Department of Computer Science Hong Kong University of Science and Technology Clear Water Bay, Hong Kong +852 is an important form of content-based retrieval. Exhaustive processing (i.e., retrieval of the best solutions

  12. Extending clp(FD) by Negative Constraint Solving Antonio J. Fern andez and Patricia M. Hill

    E-Print Network [OSTI]

    Hill, Patricia

    and new methods for their propagation. Keywords: Constraint Solving, Constraint Propagation, Labeling several processes: constraint propagation, consistency checks, and labeling (also called enumeration is with School of Computer Studies,University of Leeds, England. Email: hill@scs.leeds.ac.uk This work was partly

  13. EA-1967: Hills Creek-Lookout Point Transmission Line Rebuild, Lane County, Oregon

    Broader source: Energy.gov [DOE]

    Bonneville Power Administration is preparing an EA to assess potential environmental impacts of the proposed rebuild of its 26-mile 115 kilovolt (kV) wood-pole Hills Creek-Lookout Point transmission line, which is generally located between Lowell and Oakridge, in Lane County, Oregon.

  14. The No-Boundary Probability for the Universe starting at the top of the hill

    E-Print Network [OSTI]

    Tim Clunan

    2007-04-16

    We use the Hartle-Hawking No-Boundary Proposal to make a comparison between the probabilities of the universe starting near, and at, the top of a hill in the effective potential. In the context of top-down cosmology, our calculation finds that the universe doesn't start at the top.

  15. Going Deep vs. Going Wide

    Broader source: Energy.gov [DOE]

    Going Deep vs. Going Wide, from the Residential Energy Efficiency Solutions Conference 2012. Provides an overview on the progress of four energy efficiency programs: Clean Energy Works Oregon, Efficiency Maine, Energy Upgrade California Flex Path, and EcoHouse Loan Program.

  16. Deep-web search engine ranking algorithms

    E-Print Network [OSTI]

    Wong, Brian Wai Fung

    2010-01-01

    The deep web refers to content that is hidden behind HTML forms. The deep web contains a large collection of data that are unreachable by link-based search engines. A study conducted at University of California, Berkeley ...

  17. The Phoenix Deep Survey: A Deep Microjansky Radio Survey

    E-Print Network [OSTI]

    J. Afonso; B. Mobasher; A. Hopkins; L. Cram

    1999-09-05

    The study of the nature of faint radio sources is of great importance since a significant fraction of these objects is thought to be composed of actively star-forming galaxies. Due to the increased sensitivity of radio telescopes, we are now not only able to catalogue large numbers of these sources in the sub-millijansky regime, but also to start the study of the nature of increasingly fainter microjansky sources. This paper presents a new very deep 1.4 GHz radio survey made as a part of the Phoenix Deep Survey, a project aimed to study the nature of the faintest radio sources. With a limiting sensitivity of 45 microJy, this new survey has allowed us to assemble a large number of sources with 1.4 GHz flux densities below 100 microJy. The resulting source counts and the analysis of the optical properties of the faintest radio sources are presented.

  18. Quantum particle production near the big rip revisited

    E-Print Network [OSTI]

    F. G. Alvarenga; A. B. Batista; J. C. Fabris; M. J. S. Houndjo

    2009-04-06

    The effect of quantum particle production near the big rip singularity has been investigated previously, with the conclusion that the energy of the produced particle decreases as the future singularity is approached. Hence, the effect of particle production would not be effective to avoid the big rip singularity. That calculation was performed by introducing an ultra-violet cut-off. In the present work we consider a renormalization of the energy-momentum tensor, obtainning a different expression for the particle production. The new expression seems to indicate that the effect of particle production may be dominant as the singularity is approached.

  19. Dirac Fields in Loop Quantum Gravity and Big Bang Nucleosynthesis

    E-Print Network [OSTI]

    Martin Bojowald; Rupam Das; Robert J. Scherrer

    2008-03-19

    Big Bang nucleosynthesis requires a fine balance between equations of state for photons and relativistic fermions. Several corrections to equation of state parameters arise from classical and quantum physics, which are derived here from a canonical perspective. In particular, loop quantum gravity allows one to compute quantum gravity corrections for Maxwell and Dirac fields. Although the classical actions are very different, quantum corrections to the equation of state are remarkably similar. To lowest order, these corrections take the form of an overall expansion-dependent multiplicative factor in the total density. We use these results, along with the predictions of Big Bang nucleosynthesis, to place bounds on these corrections.

  20. Big Creek Hot Springs Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowaWisconsin: EnergyYorkColoradoBelcher HomesBeverly,Lake, California:BigBig

  1. Isoform discovery by targeted cloning,`deep-

    E-Print Network [OSTI]

    Roth, Frederick

    Isoform discovery by targeted cloning,`deep- well' pooling and parallel sequencing Kourosh Salehi transcriptase (RT)- PCR recombinational cloning,`deep-well' pooling and a next- generation sequencing platform and demonstrate the ORFeome primer pairs ORFeome minipool arrays Single colony isolates `Deep wells' of pooled

  2. THE DEEP PROJECT DAVID C. KOO

    E-Print Network [OSTI]

    THE DEEP PROJECT DAVID C. KOO UCO/Lick Observatory, University of California, Santa Cruz, CA 95064, USA Abstract. DEEP is a multi­institutional program designed to undertake a ma­ jor new spectroscopic goal of securing large numbers of redshifts (10,000 + ) to very faint limits of I ¸ 23, DEEP intends

  3. Deep Web Entity Monitoring Mohammadreza Khelghati

    E-Print Network [OSTI]

    Hiemstra, Djoerd

    Deep Web Entity Monitoring Mohammadreza Khelghati Database Group University of Twente, Netherlands. This data is defined as hidden web or deep web which is not accessible through search engines. It is estimated that deep web contains data in a scale several times bigger than the data accessible through

  4. Deep Mixtures of Factor Analysers Introduction

    E-Print Network [OSTI]

    Toronto, University of

    Deep Mixtures of Factor Analysers Introduction Experiments - High dimensional data (avg. log An efficient way to learn deep density models is to greedily learn one layer at a time using one layer latent Graphical Model of Deep MFA Illustration with 2D data Each ellipse is a Gaussian Component Aggregated

  5. Deep-Space Optical Communications: Future

    E-Print Network [OSTI]

    Djordjevic, Ivan B.

    INVITED P A P E R Deep-Space Optical Communications: Future Perspectives and Applications Current technologies available for deep-space optical data transmission and networking are discussed in this paper IEEE, Abhijit Biswas, and Ivan B. Djordjevic, Senior Member IEEE ABSTRACT | The concept of deep

  6. Deep Vadose Zone Applied Field Research Initiative

    E-Print Network [OSTI]

    Deep Vadose Zone­ Applied Field Research Initiative Fiscal Year 2012 Annual Report #12;Prepared Tasks 25 References 25 Appendix: FY2012 Products for the Deep Vadose Zone­ Applied Field Research Initiative Contents #12;Message from the Deep Vadose Zone- Applied Field Research Initiative Project Manager

  7. Boston Harbor -Deep Draft Navigation Improvement Massachusetts

    E-Print Network [OSTI]

    US Army Corps of Engineers

    of Massachusetts Bay and is the New England region's largest port. The main deep water harbor is comprised for the Chelsea River which has an authorized depth of 38 feet MLLW. Deep water access to the harbor is providedBoston Harbor - Deep Draft Navigation Improvement Massachusetts 21 August 2008 and 18 September

  8. Sampling the National Deep Web Denis Shestakov

    E-Print Network [OSTI]

    Hammerton, James

    Sampling the National Deep Web Denis Shestakov Department of Media Technology, Aalto University pages filled with information from myriads of online databases. This part of the Web, known as the deep a problem of deep Web characterization: how to estimate the total number of online databases on the Web? We

  9. New Horizons for Deep Subsurface Microbiology

    E-Print Network [OSTI]

    Onstott, Tullis

    life cannot exist. · Experiments being designed for the Deep Un- derground Science and EngineeringNew Horizons for Deep Subsurface Microbiology Subsurface microorganisms may grow slowly 200-m-deep wells along with procedures to monitor for drilling-related contaminants, uncovered

  10. Deep-Sea Research I 49 (2002) 681705 Modification and pathways of Southern Ocean Deep Waters

    E-Print Network [OSTI]

    Naveira Garabato, Alberto

    2002-01-01

    Deep-Sea Research I 49 (2002) 681­705 Modification and pathways of Southern Ocean Deep Waters of the deep water masses flowing through the region, and to quantify changes in their properties as they cross and pathways of deep water masses in the Scotia Sea had remained poorly documented despite their global

  11. EECBG Success Story: Big Savings for Texas City with Energy Monitoring...

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

    Big Savings for Texas City with Energy Monitoring Sensors EECBG Success Story: Big Savings for Texas City with Energy Monitoring Sensors August 19, 2010 - 5:00pm Addthis With more...

  12. OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big...

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

    OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big Datasets OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big Datasets August 27, 2013 | Tags: Basic Energy...

  13. Big Bang Expansion A textbook example of how observations drive theory

    E-Print Network [OSTI]

    Korn, Andreas

    of structure seeds. The cosmic web will later form out of these sedes. #12;II. Observing the CMB Variations WMAP tot = 1 Dark matter: 23% Dark energy (): 73% #12;Big Bang: a self-consistent theory? Big Bang

  14. Small Changes Help Long Island Homeowner Save Big on Energy Costs...

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

    Small Changes Help Long Island Homeowner Save Big on Energy Costs Small Changes Help Long Island Homeowner Save Big on Energy Costs April 16, 2013 - 12:20pm Addthis Located near...

  15. Annual meeting of Big Sky Carbon Sequestration Partnership to be held Oct. 28, 29 | ...

    E-Print Network [OSTI]

    ... Annual meeting of Big Sky Carbon Sequestration Partnership to be held ... meeting of the Big Sky Carbon Sequestration Partnership to be held ... science policy and technology of carbon capture and storage (CCS). Panels ...

  16. The Digital Skin of Cities: Urban Theory and Research in the Age of the Sensored and Metered City, Ubiquitous Computing, and Big Data

    E-Print Network [OSTI]

    Rabari, Chirag

    2013-01-01

    2012, September 30). “Big data: Mind the gaps. ” The BostonQuestions for Big Data. Information, Communication &BigQuery – Real-time big data analytics in the cloud [

  17. UONPR No. 1, Elk Hills, 26R Reservoir, Elk Hills oil and gas field, Kern County, California: Management Review: Surface operations and measurements of production and injection volumes

    SciTech Connect (OSTI)

    Not Available

    1987-01-01

    Evans, Carey and Crozier was given the task to conduct a Management Review of the Surface Operations of the 26R Reservoir in UONPR No. 1, Elk Hills field, Kern County, California. The MER strategy for this reservoir is to maintain pressure, and toward this end, gas injection volumes are scheduled to amount to 110% of calculated withdrawals. In spite of this, however, reservoir pressure continues to decline. The purpose of this study was, therefore, to determine if, and to what extent, field operating practices and accounting procedures may be contributing to this dilemma and to make appropriate recommendations pertaining to correcting any deficiencies which may have been found.

  18. AutoGrid - Turning Big Data Into Power with the Energy Data Platform and Apps

    SciTech Connect (OSTI)

    Narayan, Amit; Dresselhuys, Eric; Kulp, Yann; Buseman, Greg; Piette, Mary Ann; Tang, Andrew; Dailey, Karla; Knudsen, Chris

    2014-03-25

    AutoGrid personnel discuss how they are turning big data into power with the energy data platform and apps.

  19. Pre-big bang scenario and the WZW model

    E-Print Network [OSTI]

    Marcel Jacon

    2015-06-09

    Extensive studies of pre-big bang scenarios for Bianchi-I type universe have been made, at various approximation levels. Knowing the solution of the equations for the post-big bang universe, the symmetries of the equations (time reversal and scale dual transformations) allow the study of pre-big bang solutions. However, the proposed solutions are unable to explain the actually observed acceleration of the expantion of the universe.Calculating the $\\beta $ equations for the Non-Linear Sigma model, at the first loop approximation and imposing conformal invariance at this level, lead to equations of motion that simply state that the curvature must be nil, which in turn allows the utilization of groups to solve the $\\beta $ equations. This is what is done in the Weiss-Zumino-Witten (WZW) model. In this article, I will show that using the WZW model on $SU_2$, some of the difficulties encountered in the determination of the pre and post big-bang solutions are eliminated. Combining the general results obtained with the $\\Lambda $CDM parameters lead to realistic solutions for the evolution of the universe, giving an explanation to the actually observed acceleration of the expansion in terms ot the dilation field $\\phi $(t).

  20. Hydroliquefaction of Big Brown lignite in supercritical fluids 

    E-Print Network [OSTI]

    Chen, Hui

    1996-01-01

    Big Brown lignite was liquefied in a fixed bed tube reactor. Three solvents were used in the liquefaction studies, toluene, cyclohexane and methanol. Two co-solvents, tetralin and water were used with toluene. The effects of the solvents and co...

  1. People's Physics Book Ch 20-1 The Big Ideas

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    People's Physics Book Ch 20-1 The Big Ideas Einstein believed that the laws of physics do of physics. In other words, if you are on a moving train and drop a ball or if you are standing on a farm and drop a ball, the physics that describe the motion of that ball will be the same. Einstein realized

  2. SHADING CALCULATIONS FOR THE BIG DISH Jeff Cumpston1

    E-Print Network [OSTI]

    ], building the 'SG4' 500m2 Big Dish solar paraboloidal concentrator for solar-thermal to electric energy into an array of a specific shape with a pre-defined energy transport network was simulated for a site location of the energy transport network pipe length. Results shows that dish separations can be altered to reduce pipe

  3. The State of the Art in Supporting "Big Data"

    E-Print Network [OSTI]

    Oliva, Aude

    of investigation · Startups in this space · If there is any achilles heel in big data, this is it! #12;10 DBMS Security · Works well -- i.e. I have never heard of the DBMS screwing up in this area. #12;11 Encryption · Can be entrusted to the DBMS -- Appropriate when there are many clients sharing data -- Don't want

  4. Adventures in Transportation from a (Big) Data Perspective

    E-Print Network [OSTI]

    Bertini, Robert L.

    + Adventures in Transportation from a (Big) Data Perspective Kristin Tufte NEDB Day, Jan 30, 2015 Maseeh College of Engineering and Computer Science #12;+Portal... !Portland-Vancouver Transportation Data Archive ! Policy of Open Data ! Publicly-funded (Thanks to NSF, FHWA, Metro, RTC,TREC) ! Focus on open

  5. The Big Data Newsvendor: Practical Insights from Machine Learning Analysis

    E-Print Network [OSTI]

    Rudin, Cynthia

    2013-10-16

    We present a version of the newsvendor problem where one has n observations of p features as well as past demand. We consider both \\big data" (p=n = O(1)) as well as small data (p=n = o(1)). For small data, we provide a ...

  6. The Big Data Newsvendor: Practical Insights from Machine Learning

    E-Print Network [OSTI]

    Rudin, Cynthia

    2014-02-06

    We investigate the newsvendor problem when one has n observations of p features related to the demand as well as past demands. Both small data (p=n = o(1)) and big data (p=n = O(1)) are considered. For both cases, we propose ...

  7. "Machine learning for big data analytics in biomedicine"

    E-Print Network [OSTI]

    Zhigilei, Leonid V.

    "Machine learning for big data analytics in biomedicine" Yanjun (Jane) Qi Assistant Professor yq2h-learning techniques on important challenges in biomedicine, especially those dealing with enormous data sets. Taking on Data Mining (ICDM) · Y. Qi, et al,(2009) "Systematic prediction of human membrane receptor interactions

  8. People's Physics book Ch 2-1 The Big Idea

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    People's Physics book Ch 2-1 The Big Idea Energy is a measure of the amount of, or potential for, dynamical activity in something. The total amount of energy in the universe is always the same universe. A group of things (we'll use the word system) has a certain amount of energy. Energy can be added

  9. BIG BEAR SOLAR OBSERVATORY CENTER FOR SOLAR-TERRESTRIAL RESEARCH

    E-Print Network [OSTI]

    BIG BEAR SOLAR OBSERVATORY CENTER FOR SOLAR-TERRESTRIAL RESEARCH Faculty Position in Solar Physics, New Jersey Institute of Technology A tenure track faculty position in solar physics is available of NJIT's program in solar physics, visit http://solar.njit.edu. Applicants are required to have a Ph

  10. Small Buildings = Big Opportunity for Energy Savings (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2013-12-01

    Small buildings have a big impact on energy use. In the United States, 44.6 million small buildings consume 44% of the overall energy used in buildings, presenting an enormous opportunity to cut costs, energy use, and greenhouse gas emissions.

  11. Big Bayou Creek and Little Bayou Creek Watershed Monitoring Program

    SciTech Connect (OSTI)

    Kszos, L.A.; Peterson, M.J.; Ryon; Smith, J.G.

    1999-03-01

    Biological monitoring of Little Bayou and Big Bayou creeks, which border the Paducah Site, has been conducted since 1987. Biological monitoring was conducted by University of Kentucky from 1987 to 1991 and by staff of the Environmental Sciences Division (ESD) at Oak Ridge National Laboratory (ORNL) from 1991 through March 1999. In March 1998, renewed Kentucky Pollutant Discharge Elimination System (KPDES) permits were issued to the US Department of Energy (DOE) and US Enrichment Corporation. The renewed DOE permit requires that a watershed monitoring program be developed for the Paducah Site within 90 days of the effective date of the renewed permit. This plan outlines the sampling and analysis that will be conducted for the watershed monitoring program. The objectives of the watershed monitoring are to (1) determine whether discharges from the Paducah Site and the Solid Waste Management Units (SWMUs) associated with the Paducah Site are adversely affecting instream fauna, (2) assess the ecological health of Little Bayou and Big Bayou creeks, (3) assess the degree to which abatement actions ecologically benefit Big Bayou Creek and Little Bayou Creek, (4) provide guidance for remediation, (5) provide an evaluation of changes in potential human health concerns, and (6) provide data which could be used to assess the impact of inadvertent spills or fish kill. According to the cleanup will result in these watersheds [Big Bayou and Little Bayou creeks] achieving compliance with the applicable water quality criteria.

  12. SHADING CALCULATIONS FOR THE BIG DISH Jeff Cumpston1

    E-Print Network [OSTI]

    ], building the 'SG4' 500m2 Big Dish solar paraboloidal concentrator for solar-thermal to electric energy shading fraction in an array of two-axis tracking collectors. Annual shading on the SG4 dish included transport network, these losses may be reduced by closely spacing collectors within the array. Another form

  13. Original article Energy balance storage terms and big-leaf

    E-Print Network [OSTI]

    Boyer, Edmond

    for the determination of big leaf forest evapotranspiration are not of the utmost importance. energy storage / deciduous. The available energy is defined as the net radiation (Rn), from which the net change in energy storage within), biomass heat storage (Sv) and photosynthetic energy storage (Sp). Soil heat storage Sg can be further

  14. People's Physics Book Ch 5-1 The Big Idea

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    People's Physics Book Ch 5-1 The Big Idea Acceleration is caused by force. All forces come in pairs of two bodies upon each other are always equal, and directed to contrary parts. Key Concepts · An object pairs must obey three rules: they must be of the same type of force, 1 Principia in modern English

  15. YOU MIGHT BE CELEBRATING THE BIG 3-0 IF....

    E-Print Network [OSTI]

    YOU MIGHT BE CELEBRATING THE BIG 3-0 IF.... You remember the power-house figures pictured or shine CVHS will be open for family fun, so do come to experience all the amazing Open House activities for a large variety of exotic animal clinical care. You might save a life with your purchase! To partner

  16. Constraints on massive gravity theory from big bang nucleosynthesis

    E-Print Network [OSTI]

    G. Lambiase

    2012-08-27

    The massive gravity cosmology is studied in the scenario of big bang nucleosynthesis. By making use of current bounds on the deviation from the fractional mass, we derive the constraints on the free parameters of the theory. The cosmological consequences of the model are also discussed in the framework of the PAMELA experiment.

  17. Long Lived Charged Massive Particles and Big Bang Nucleosynthesis

    E-Print Network [OSTI]

    Kazunori Kohri; Fumihiro Takayama

    2006-11-06

    We consider Big Bang Nucleosynthesis(BBN) with long lived charged massive particles. Before decaying, the long lived massive particles recombines with a light element to form a bound state like a hydrogen atom. We discuss the possible change of primordial light element abundances due to formations of such bound states.

  18. ORIGINAL ARTICLE Big dams and salmon evolution: changes in thermal

    E-Print Network [OSTI]

    Angilletta, Michael

    ORIGINAL ARTICLE Big dams and salmon evolution: changes in thermal regimes and their potential (Oncorhynchus spp.) across portions of their natural range, dams have arguably played a major role in many locations (NRC 1996; Lichatowich 1999; Ruckelshaus et al. 2002). Large dams (>15 m tall)­ designed

  19. Neutrino energy transport in weak decoupling and big bang nucleosynthesis

    E-Print Network [OSTI]

    Grohs, E; Kishimoto, C T; Paris, M W; Vlasenko, A

    2015-01-01

    We calculate the evolution of the early universe through the epochs of weak decoupling, weak freeze-out and big bang nucleosynthesis (BBN) by simultaneously coupling a full strong, electromagnetic, and weak nuclear reaction network with a multi-energy group Boltzmann neutrino energy transport scheme. Such an approach allows a detailed accounting of the evolution of the $\

  20. Data Aware Caching for Big-Data Applications Using MapReduce

    E-Print Network [OSTI]

    Wu, Jie

    Data Aware Caching for Big-Data Applications Using MapReduce Yaxiong Zhao, Jie Wu #12;Outline · MapReduce and big-data · Cache description · Protocol ­ Relationship between job types and cache organization · Conclusion #12;Outline · MapReduce and big-data · Cache description · Protocol ­ Cache request and reply

  1. Representative Subsets For Big Data Learning using k-NN Graphs

    E-Print Network [OSTI]

    Representative Subsets For Big Data Learning using k-NN Graphs Raghvendra Mall, Vilen Jumutc, Rocco a deterministic method to obtain subsets from big data which are a good representative of the inherent structure a subset for this big data network. The FURS selection technique selects nodes from different dense regions

  2. CloudVista: Interactive and Economical Visual Cluster Analysis for Big Data in the Cloud

    E-Print Network [OSTI]

    CloudVista: Interactive and Economical Visual Cluster Analysis for Big Data in the Cloud Huiqi Xu Analysis of big data has become an important problem for many business and scientific applications, among which clustering and visualizing clusters in big data raise some unique challenges. This demonstration

  3. Preface: Big Data Is Not About The Data! 1 Gary King 2

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    Preface: Big Data Is Not About The Data! 1 Gary King 2 Institute for Quantitative Social Science to it. Now "Big Data" is what you and I do. As trivial as this change sounds, we should be grateful is about. Throughout, we need to remember that for the most part, Big Data is not about the data. Data

  4. Recent Advances in Autonomic Provisioning of Big Data Applications on Clouds

    E-Print Network [OSTI]

    Sun, Xian-He

    Recent Advances in Autonomic Provisioning of Big Data Applications on Clouds Rajiv Ranjan, Lizhe for the user, which just pays for the used services. Big Data [2], [3], [4], [5] applications has become a com, medical imaging, and the like. The "BigData" problem, which is defined as the practice of collecting

  5. Crowdsourcing Semantics for Big Data in Geoscience Applications Tom Narock1

    E-Print Network [OSTI]

    Hitzler, Pascal

    Crowdsourcing Semantics for Big Data in Geoscience Applications Tom Narock1 and Pascal Hitzler 1 the potential to overcome some of the issues currently surrounding Big Data. Semantic technologies, and complexity of data sources ­ the very definition of Big Data. Yet, for some tasks, semantic algorithms do

  6. Towards an Understanding of Facets and Exemplars of Big Data Applications Geoffrey C.Fox1

    E-Print Network [OSTI]

    Towards an Understanding of Facets and Exemplars of Big Data Applications Geoffrey C.Fox1 Big Data applications from a variety of research and commercial areas and suggest a set Big Data properties, and then to understand applications with those properties. There are many

  7. Scalable Euclidean Embedding for Big Data Zohreh Alavi, Sagar Sharma, Lu Zhou, Keke Chen

    E-Print Network [OSTI]

    Scalable Euclidean Embedding for Big Data Zohreh Alavi, Sagar Sharma, Lu Zhou, Keke Chen Data is critical to many visualization techniques. At big-data scale, these algorithms need to be scalable affecting the algorithms are important research problems for visually analyzing big data. We propose

  8. A Cost-Benefit Analysis of Indexing Big Data with Map-Reduce

    E-Print Network [OSTI]

    Arampatzis, Avi

    A Cost-Benefit Analysis of Indexing Big Data with Map-Reduce Dimitrios Siafarikas Argyrios@ee.duth.gr Abstract--We reflect upon the challenge a Big Data analyst faces when dealing with the complex problem the system we developed works. Keywords: Information Retrieval, Big Data, Data Mining, Cluster, Inverted

  9. Principles of Software-defined Elastic Systems for Big Data Analytics

    E-Print Network [OSTI]

    Dustdar, Schahram

    Principles of Software-defined Elastic Systems for Big Data Analytics Hong-Linh Truong, Schahram}@dsg.tuwien.ac.at Abstract Techniques for big data analytics should support principles of elasticity that are inherent characteristics of big data described through the "four V's of volume, variety, velocity and veracity" [1] have

  10. Becoming data-savvy in a big-data world Meng Xu and Seung Yon Rhee

    E-Print Network [OSTI]

    Becoming data-savvy in a big-data world Meng Xu and Seung Yon Rhee Carnegie Institution for Science analysis. Big data analysis Advances in digital, information, and communications technologies generate enormous amounts of data ­ coined big data ­ in all sectors of our society [The Economist (2010) http

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

    E-Print Network [OSTI]

    Liang, Weifa

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

  12. When Private Set Intersection Meets Big Data: An Efficient and Scalable Protocol

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    When Private Set Intersection Meets Big Data: An Efficient and Scalable Protocol Changyu Dong1 to scale up smoothly when data being protected is big. Efficiency and scalability become critical criteria for privacy preserving protocols in the age of Big Data. In this paper, we present a new Private Set

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

    E-Print Network [OSTI]

    Fan, Wenfei

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

  14. Big Data: A Foundational Explanation Michael J. Sal, Richard J. Barilla, Steven Lindo, and Sam Elnagdy

    E-Print Network [OSTI]

    Tappert, Charles

    D6.1 Big Data: A Foundational Explanation Michael J. Salé, Richard J. Barilla, Steven Lindo for the science and practice of Big Data analytics. So long as innovations in data processing and storage capabilities continue, Big Data models and the technologies that enable them will also continue to evolve

  15. Genetic Algorithm based Data-aware Group Scheduling for Big Data Clouds Raghavendra Kune1

    E-Print Network [OSTI]

    Buyya, Rajkumar

    Genetic Algorithm based Data-aware Group Scheduling for Big Data Clouds Raghavendra Kune1 , Pramod on demand. Big Data Clouds is a new generation data analytics platform using Cloud computing as a back end and empirical tools. MapReduce scheduling models for Big Data computing operate in the cluster mode, where

  16. Bayes and Big Data: The Consensus Monte Carlo Algorithm Steven L. Scott1

    E-Print Network [OSTI]

    Cortes, Corinna

    Bayes and Big Data: The Consensus Monte Carlo Algorithm Steven L. Scott1 , Alexander W. Blocker1 of Business October 31, 2013 Abstract A useful definition of "big data" is data that is too big to comfortably by splitting data across multiple machines. Communication between large numbers of machines is expensive

  17. Big Data Storytelling through Interactive Maps Jayant Madhavan, Sreeram Balakrishnan, Kathryn Brisbin, Hector Gonzalez, Nitin Gupta,

    E-Print Network [OSTI]

    Cortes, Corinna

    Big Data Storytelling through Interactive Maps Jayant Madhavan, Sreeram Balakrishnan, Kathryn) brings big data collaboration and visualization to data-experts who possess neither large data high-profile stories. 1 Introduction Much of the current excitement about Big Data refers to performing

  18. On Interference-aware Provisioning for Cloud-based Big Data Processing

    E-Print Network [OSTI]

    Liu, Jiangchuan (JC)

    On Interference-aware Provisioning for Cloud-based Big Data Processing Yi YUAN, Haiyang WANG, Dan--Recent advances in cloud-based big data analysis offers a convenient mean for providing an elastic and cost and IBM deploy various of big data systems on their cloud platforms, aiming to occupy the huge market

  19. A System Architecture for Running Big Data Workflows in the Cloud Andrey Kashlev, Shiyong Lu

    E-Print Network [OSTI]

    Lu, Shiyong

    A System Architecture for Running Big Data Workflows in the Cloud Andrey Kashlev, Shiyong Lu management systems (SWFMSs) to utilize the power of Cloud computing to perform big data analyses. Unlike by running a big data workflow in Amazon EC2, FutureGrid Eucalyptus and OpenStack clouds. From

  20. Evaluating Corpora Documentation with regards to the Ethics and Big Data Charter

    E-Print Network [OSTI]

    Evaluating Corpora Documentation with regards to the Ethics and Big Data Charter Alain Couillault.de-mazancourt@eptica.com Abstract The authors have written the Ethics and Big Data Charter in collaboration with various agencies to show the benefit it offers. Keywords: language resources, ethics, documentation, big data. 1

  1. The Trento Big Data Platform for Public Administration and Large Companies: Use cases and Opportunities

    E-Print Network [OSTI]

    Velegrakis, Yannis

    The Trento Big Data Platform for Public Administration and Large Companies: Use cases in the Trentino territory for the collection, cleaning, integration and analysis of BigData. 2. BIGDATA PLATFORM Making the data public has no value if none can actually access, study and use that data. The BigData

  2. SLA-aware Provisioning and Scheduling of Cloud Resources for Big Data Analytics

    E-Print Network [OSTI]

    Buyya, Rajkumar

    SLA-aware Provisioning and Scheduling of Cloud Resources for Big Data Analytics Mohammed Alrokayan and traditional data management system could not keep up to scale of Big Data. They have to either invest heavily on their infrastructure or move their Big Data analytics to Cloud where they can benefit from both on-demand scalability

  3. Big data from small data: data-sharing in the 'long tail' of neuroscience.

    E-Print Network [OSTI]

    Ferguson, Adam R; Nielson, Jessica L; Cragin, Melissa H; Bandrowski, Anita E; Martone, Maryann E

    2014-01-01

    F O C U S O N B I G D ATA Big data from small data: data-small data sources into big data for improved knowledgeo mm e n ta r y Organized big data Data size Long-tail data

  4. Big Data Retour vers le Futur -3 -De Statisticien Data Scientist

    E-Print Network [OSTI]

    Besse, Philippe

    Big Data ­ Retour vers le Futur - 3 - De Statisticien à Data Scientist Philippe Besse Aurélien ; statistical learning ; big data. Université de Toulouse ­ INSA, Institut de Mathématiques, UMR CNRS 5219 omiques la décennie suivante ; ­ avènement récent et très médiatisé du big data. Nous terminons en

  5. Big Data Use Cases and Requirements GEOFFREY FOX, Indiana University, School of Informatics and Computing

    E-Print Network [OSTI]

    Big Data Use Cases and Requirements GEOFFREY FOX, Indiana University, School of Informatics and Computing Co-Chair, Use Cases & Requirements Subgroup, NIST Big Data Public Working Group WO CHANG, National Institute of Standards and Technologies Co-Chair, NIST Big Data Public Working Group Abstract We formed

  6. Handling Big Dimensions in Distributed Data Warehouses using the DWS Technique

    E-Print Network [OSTI]

    Song, Il-Yeol

    Handling Big Dimensions in Distributed Data Warehouses using the DWS Technique Marco Costa Critical tables creates a limitation to the applicability of the DWS technique to data warehouses with big is also common in big data warehouses [7]. Two types of parallelism can be explored at the query level

  7. The Big Picture Multisets Sets One Last Word A Tiny Introduction to Group Arithmetic

    E-Print Network [OSTI]

    Ponomarenko, Vadim

    The Big Picture Multisets Sets One Last Word A Tiny Introduction to Group Arithmetic past University July 3, 2008 http://www-rohan.sdsu.edu/vadim/arithmetic.pdf #12;The Big Picture Multisets Sets One of S. "Sequence"=Multiset #12;The Big Picture Multisets Sets One Last Word the basic problem Let G

  8. PHYSICAL REVIEW C 83, 018801 (2011) Electron screening and its effects on big-bang nucleosynthesis

    E-Print Network [OSTI]

    Bertulani, Carlos A. - Department of Physics and Astronomy, Texas A&M University

    2011-01-01

    PHYSICAL REVIEW C 83, 018801 (2011) Electron screening and its effects on big-bang nucleosynthesis screening on nuclear reaction rates occurring during the big-bang nucleosynthesis epoch. The sensitivity. This work rules out electron screening as a relevant ingredient to big-bang nucleosynthesis, confirming

  9. Incoherent Scatter Measurements of E- and F-Region Density, Temperatures, and Collision Frequency at Millstone Hill

    E-Print Network [OSTI]

    Oliver, W. L.

    1979-02-23

    The Millstone Hill incoherent (Thomson) scatter radar system has been operated since 1963 to perform a synoptic study of F2-region electron densities, and electron and ion temperatures. These measurements have been conducted ...

  10. Croatian Language and Cultural Maintenance in the Slavic-American Community of Strawberry Hill, Kansas City, Kansas

    E-Print Network [OSTI]

    Glasgow, Holly Hood

    2012-05-31

    The purpose of this qualitative study was to investigate levels of immigrant language retention among Croatian-Americans in the Slavic diaspora community of Strawberry Hill in Kansas City, Kansas. There have been three major waves of Croatian...

  11. Clean Water Alliance Colorado Citizens Against ToxicWaste, Inc. Defenders of the Black Hills EARTHWORKS High Country

    E-Print Network [OSTI]

    Clean Water Alliance · Colorado Citizens Against ToxicWaste, Inc. Defenders of the Black Hills Alliance for a Safe Environment · Nuclear Information and Resource Service · Sierra Club Nuclear Free

  12. Where Do I Belong?: Evolving Reform and Identity Amongst the Zeme Heraka of North Cachar Hills, Assam, India. 

    E-Print Network [OSTI]

    Longkumer, Arkotong

    2008-01-01

    The focus of this thesis is the Heraka movement and its impact on the Zeme, a ‘Naga tribe’, in the North Cachar Hills of Assam, India. The Heraka is a religious reform movement derived from the traditional practice known ...

  13. CH2M Hill Heat Stress Mitigation Efforts During Tank Farm Work Activities

    SciTech Connect (OSTI)

    Smoot, W.L. [CH2M HILL Hanford Group, Inc., Richland, WA (United States)

    2007-07-01

    In the past, while working under the hot summer sun at the Hanford Tank Farms, workers were assigned a protective work-rest regimen and heat stress mitigation efforts were applied to prevent heat-related illnesses and minimize impacts to project schedules. In February 2006, CH2M HILL kicked off a heat stress improvement initiative led by an experienced person emphasizing the importance of worker involvement, employee education, and the application of the ALARA, or As Low As Reasonably Achievable, concepts of engineered controls, administrative controls, personal protective equipment, and physiological and work site monitoring. As a result of this initiative built upon previous years' efforts, CH2M HILL experienced increased 'wrench time' during the summer of 2006 with fewer heat-related illnesses than in previous years. (authors)

  14. Technical safety appraisal of the Naval Petroleum Reserve No. 1, Elk Hills, California

    SciTech Connect (OSTI)

    Not Available

    1989-04-01

    The existing Elk Hills facilities for fluid production consist of tank settings, gas and oil/water gathering pipelines, gas plants, compressor facilities, lease automatic custody transfer units which meter the crude oil going to sales, and natural gas sales meters and pipelines, water injection and source wells, and gas injection pipelines and wells. The principal safety concerns presented by operations at Elk Hills are fire, occupational safety and industrial hygiene considerations. Transportation and motor vehicle accidents are also of great concern because of the large amount of miles driven on more than 900 miles of roads. Typical operations involve hazardous materials and processing equipment such as vessels, compressors, boilers, piping and valves. The aging facilities, specifically the 35R Gas Plant (constructed in 1952) and many of the pipelines, introduce an additional element of hazard to the operations.

  15. Naval petroleum reserves: Preliminary analysis of future net revenues from Elk Hills production

    SciTech Connect (OSTI)

    Not Available

    1986-01-01

    This is an interim report on the present value of the net revenues from Elk Hills Naval Petroleum Reserve. GAO calculated alternative present values of the net revenues applying (1) low, medium, and high forecasts of future crude oil prices and (2) alternative interest rates for discounting the future net revenues to their present values. The calculations are sensitive to both the oil price forecasts and discount rates used; they are preliminary and should be used with caution. They do not take into account possible added tax revenues collected by the government if Elk Hills were sold nor varying production levels and practices, which could either increase or decrease the total amount of oil that can be extracted.

  16. Naval petroleum reserves: Oil sales procedures and prices at Elk Hills, April through December 1986

    SciTech Connect (OSTI)

    Not Available

    1987-01-01

    The Elk Hills Naval Petroleum Reserve is located near Bakersfield, California and ranks seventh among domestic producing oil fields. In Feb. 1986 the Department of Energy awarded contracts to 16 companies for the sale of about 82,000 barrels per day of NPR crude oil between April and September 1986. These companies bid a record high average discount of $4.49 from DOE's base price. The discounts ranged from $0.87 to $6.98 per barrel. These contracts resulted in DOE selling Elk Hills oil as low as $3.91 per barrel. Energy stated that the process for selling from NPR had gotten out of step with today's marketplace. Doe subsequently revised its sales procedures which requires bidders to submit a specific price for the oil rather than a discount to a base price. DOE also initiated other efforts designed to avoid future NPR oil sales at less than fair market value.

  17. 2013 Mark S. Fox City Data: Big, Open and Linked 1 City Data: Big, Open and Linked

    E-Print Network [OSTI]

    Sun, Yu

    is their "grease disposal" compliance program1 . 61% of all sewer backups are caused by improperly disposed of restaurant grease. The city combined sewer data, grease hauling licenses data and grease producer data sources of grease entering the sewer system. Big Data is the buzzword du jour. It is rare to read

  18. EA-1617: Lovell-Yellowtail and Basin-Lovell Transmission Line Rebuild Project, Big Horn County, Wyoming, and Big Horn and Carbon Counties, Montana

    Broader source: Energy.gov [DOE]

    DOE’s Western Area Power Administration prepared this EA and a finding of no significant impact for a proposal to rebuild the Lovell-Yellowtail (LV-YT) No. 1 and No. 2 115-kV transmission lines, located in Big Horn County, Wyoming, and Big Horn and Carbon Counties in Montana, and the Basin-Lovell 115-kV transmission line in Big Horn County, Wyoming.

  19. How the DNA sequence affects the Hill curve of transcriptional response

    E-Print Network [OSTI]

    M. Sheinman; Y. Kafri

    2011-11-16

    The Hill coefficient is often used as a direct measure of the cooperativity of binding processes. It is an essential tool for probing properties of reactions in many biochemical systems. Here we analyze existing experimental data and demonstrate that the Hill coefficient characterizing the binding of transcription factors to their cognate sites can in fact be larger than one -- the standard indication of cooperativity -- even in the absence of any standard cooperative binding mechanism. By studying the problem analytically, we demonstrate that this effect occurs due to the disordered binding energy of the transcription factor to the DNA molecule and the steric interactions between the different copies of the transcription factor. We show that the enhanced Hill coefficient implies a significant reduction in the number of copies of the transcription factors which is needed to occupy a cognate site and, in many cases, can explain existing estimates for numbers of the transcription factors in cells. The mechanism is general and should be applicable to other biological recognition processes.

  20. Subsurface water flow simulated for hill slopes with spatially dependent soil hydraulic characteristics

    SciTech Connect (OSTI)

    Sharma, M.L.; Luxmoore, R.J.; DeAngelis, R.; Ward, R.C.; Yeh, G.T.

    1987-08-01

    Water flow through hill slopes consisting of five soil layers, with varying spatial dependence in hydraulic characteristics in the lateral plane was simulated by solving Richards' equation in three dimensions under varying rainfall intensities and for two complexities of terrain. By concepts of similar media the variability in soil hydraulic characteristics was expressed by a single dimensionless parameter, the scaling factor ..cap alpha... The moments of log normally distributed ..cap alpha.. were set as: Mean = 1.0 and standard deviation = 1.0. Four cases of spatial dependence of ..cap alpha.. in the lateral plane were selected for simulation, using exponential variogram functions ranging in spatial structure from random (no spatial dependence) to large dependence (large correlation lengths). The simulations showed that the rates of subsurface flow from the 30/sup 0/ hillslope, during and following rainfall, were significantly enhanced with an increase in spatial dependence. Subsurface drainage was also increased with increases in rainfall intensity and slop complexity. For hill slopes the relative effects of spatial dependence in soil hydraulic characteristics was smaller with 30/sup 0/ horizontal pitching than without pitching. Hill slopes with a random distribution of hydraulic characteristics provided greater opportunity for soil units with differing water capacities to interact than in cases with spatially correlated distributions. This greater interaction is associated with a greater lag in subsurface flow generation. These studies illustrate some of the expected effects of spatial dependence of soil hydraulic characteristics of the integrated hydrologic response of land areas.